Indonesian Journal of Innovation Studies
Indonesian Journal of Innovation Studies (IJINS) is a peer-reviewed journal published by Universitas Muhammadiyah Sidoarjo four times a year. This journal provides immediate open access to its content on the principle that making research freely available to the public supports a greater global exchange of knowledge.This journal aims is to provide a place for academics and practitioners to publish original research and review articles. The articles basically contains any topics concerning new innovation on all aspects. IJINS is available in online version. Language used in this journal is Indonesia or English. Accredited "S3" by the Ministry of Research-Technology and Higher Education Republic of Indonesia Abbreviation IJINS (Indonesian Journal Innovation Studies) DOI prefix 10.21070 by Citation Analysis SCOPUS | Web of Science | Dimension Index Services Google Scholar | SINTA | Dimension | Journalstories ISSN (online) 2598-9936 Publisher Universitas Muhammadiyah Sidoarjo Editor in Chief Dr. Hindarto Managing Editor Mahardhika Darmawan Kusuma Wardana Frequency 4 (four) issues per year (January, April, July and October)
Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution 4.0 International License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.
Improving Shoe Product Quality Through the New Seven Tools Approach and Failure Mode Effect Analysis (FMEA)
General Background: Quality control is essential for ensuring competitiveness in manufacturing industries, particularly in footwear production. Specific Background: UD. XYZ experiences a defect rate of 12.85%, exceeding the company standard of 5%, indicating systemic issues in its production process. Knowledge Gap: Previous studies have utilized New Seven Tools and FMEA, yet have not sufficiently integrated both methods to produce comprehensive improvement recommendations tailored to the root causes of shoe defects. Aim: This study aims to identify defect-causing factors and propose corrective actions using combined New Seven Tools and Failure Mode and Effect Analysis (FMEA). Results: Analysis revealed 27 proposed improvements through the PDPC, with 25 deemed feasible, while FMEA identified untidy sewing as the most critical failure mode, with the highest RPN value of 336. Novelty: This study offers an integrated diagnostic–corrective framework that systematically links qualitative mapping tools with quantitative risk prioritization to strengthen quality improvement strategies. Implications: Findings provide actionable guidance for enhancing worker performance, machine calibration, material handling, and production methods, supporting sustained quality enhancement in the footwear industry. Highlights: Identifies key defect sources in shoe production using integrated qualitative and quantitative methods. Highlights untidy sewing as the most critical issue based on the highest RPN value (336). Provides feasible improvement actions, with 25 of 27 recommendations implementable for quality enhancement. Keywords: Quality Control, New Seven Tools, FMEA, Shoe Manufacturing, Defect Reduction
Copyright (c) 2025 Muhammad Wibbie Wiweka Subono; Rr. Rochmoeljati (Author) https://creativecommons.org/licenses/by/4.0
Integrating SERVQUAL and Importance Performance Analysis to Prioritize Service Improvements in Modern Retail: A Case Study of XYZ Store
General Background: Service quality is a critical determinant of competitiveness in modern retail, particularly as rapid growth in small convenience stores intensifies customer expectations. Specific Background: XYZ Store has experienced declining customer satisfaction, requiring a systematic evaluation of service delivery using established measurement frameworks. Knowledge Gap: Despite the extensive use of SERVQUAL and Importance Performance Analysis (IPA) in service research, limited studies integrate both methods to diagnose priority improvements in small-scale retail settings. Aims: This study aims to measure service quality at XYZ Store, identify performance gaps across SERVQUAL dimensions, and prioritize improvement strategies using IPA. Results: Analysis of 100 respondents showed all SERVQUAL attributes were valid and reliable, with an overall gap score of –0.74 and a service quality index (Q) of 0.84, indicating service performance below expectations. IPA mapping revealed four critical attributes—store layout (T3), complaint handling (RP3), facility conditions (T1), and product availability (RL2)—requiring immediate improvement. Novelty: This research offers an integrated SERVQUAL–IPA approach that produces a precise, actionable prioritization of service weaknesses in a small retail context. Implications: Findings provide managerial guidance for enhancing operational performance, increasing customer satisfaction, and strengthening competitive positioning in the retail sector. Highlights: Identifies critical service gaps with an integrated SERVQUAL–IPA approach. Highlights four priority attributes needing immediate improvement. Provides actionable strategies to enhance customer satisfaction and competitiveness. Keywords: SERVQUAL, IPA, Service Quality, Customer Satisfaction, Retail Management
Copyright (c) 2025 Mochammad Afif Sajidin, Deny Andesta, Mochammad Nuruddin https://creativecommons.org/licenses/by/4.0
Optimization of Cement Bag Production Scheduling Using Particle Swarm Optimization Method
General background: Efficient production scheduling is essential for improving operational performance in multi-stage manufacturing systems with fluctuating demand. Specific background: At PT XYZ, Cement Bag production involves six sequential machines, yet scheduling remains manual, causing bottlenecks, long waiting times, and a makespan that exceeds production targets. Knowledge gap: Prior studies largely optimize a single performance indicator—typically makespan—and rarely address dual objectives in complex multi-machine plastic-bag manufacturing. Aims: This study aims to optimize Cement Bag production scheduling using the Particle Swarm Optimization (PSO) algorithm to minimize makespan and total waiting time simultaneously. Results: Implementing PSO on 12 jobs and 6 machines reduced makespan from 49,400 seconds to 34,520 seconds (32.77%) and lowered waiting time from 186,050 seconds to 115,870 seconds. The optimized job sequence balances machine workloads more effectively than the existing manual schedule. Novelty: The study integrates dual performance criteria in a real multi-process Cement Bag production system and applies PSO to an industrial context not previously examined comprehensively. Implications: Findings demonstrate PSO’s suitability as an adaptive AI-based scheduling approach, offering manufacturers a practical pathway toward improved resource utilization, reduced delays, and enhanced responsiveness to market variability. Highlights: Highlights the significant reduction of makespan and waiting time using PSO. Demonstrates balanced workload distribution across six machines. Shows the novelty of dual-objective optimization in Cement Bag production. Keywords: Production Scheduling, PSO, Makespan, Waiting Time, Manufacturing
Copyright (c) 2025 Abdi Harish Pratama; Sumiati Sumiati (Author) https://creativecommons.org/licenses/by/4.0
The Application of Management Information Systems in Improving Application-Based Work Effectiveness
General Background: The development of digital technology requires companies to optimize their work systems through digitalization, including in the management of human resources administration. Specific Background: Before the arrival of the My Japfa application, attendance, leave, and official leave processes were still carried out manually, which often took a long time and was prone to recording errors. Knowledge Gap: Previous studies have focused on management information systems in the education and public sectors, while studies in the agribusiness sector are still limited, particularly regarding the implementation of internal applications integrated with employees' daily activities. Aim: This study aims to analyze the implementation of the My Japfa application at PT J Gedangan Unit and assess its impact on employee work effectiveness and the role of the HR department. Results: Interviews, observations, and documentation show that this application speeds up attendance, leave, and permit processes, increases transparency, and reduces manual administrative burdens. Employee work effectiveness has increased because attendance waiting times have been reduced and data is recorded more accurately. However, obstacles such as unstable internet connections and the adaptation of senior employees remain challenges. Novelty: This study shows how the digitization of administration in the agribusiness sector can transform the role of HR from administrative to strategic, a perspective that has rarely been raised in previous studies. Implications: These findings show that the implementation of internal digital applications not only improves efficiency but also builds a more transparent and adaptive work culture. This can be a reference for other companies in adopting similar systems. Highlights: The My Japfa application improves HR administrative efficiency and employee work effectiveness. The main obstacles include the digital literacy of senior employees and network stability. Digitalization provides opportunities for HR to become more strategic. Keywords : Management Information System, Work Effectiveness, Application
Copyright (c) 2025 Wahyu Abdul Mujib, Yanda Bara Kusuma https://creativecommons.org/licenses/by/4.0
Failure Risk Analysis of Storage Tank Using the Risk-Based Inspection Method in a Biofuel Supply Company
Background (General) Storage tanks play a critical role in ensuring the continuity and safety of biodiesel distribution, where structural integrity is essential to prevent environmental, operational, and safety hazards. Background (Specific) At PT XYZ, recurring issues such as corrosion and leakage indicate limitations in the current time-based inspection approach. Knowledge Gap Previous studies applied RBI or AHP separately, but few integrated technical risk data with multi-criteria decision-making to produce an inspection and maintenance strategy that is both objective and operationally relevant. Aim This study aims to assess the risk level of a biodiesel storage tank using an integrated Risk-Based Inspection (RBI) and Analytic Hierarchy Process (AHP) approach to determine optimal inspection intervals and maintenance priorities. Results The analysis shows that critical subsystems—Storage Tank, Piping, Automatic Gauge Tank, PRV, and PVV—fall into high and extreme risk categories, with the overall tank risk classified as medium; corrosion analysis indicates remaining life values between 51–107 years, leading to a recommended inspection interval of four years instead of five. Novelty This study offers a combined RBI–AHP framework that aligns quantitative risk factors with managerial decision priorities. Implications The findings support more precise, risk-informed maintenance planning to enhance safety, reliability, and operational continuity in biodiesel storage operations. Highlights: Identifies high-risk subsystems requiring prioritized inspection. Integrates RBI–AHP to produce objective maintenance decisions. Recommends shorter inspection intervals to enhance operational safety. Keywords: Risk-Based Inspection, Analytic Hierarchy Process, Storage Tank, Corrosion, Maintenance Strategy
Copyright (c) 2025 Mukandar Idris, Enny Aryanny https://creativecommons.org/licenses/by/4.0
Analysis of Service Time Waste Using Lean Healthcare Method in the Neurology Outpatient Clinic
General Background: Healthcare organizations must reduce non–value-added (NVA) activities to improve patient experience and resource efficiency; Specific Background: the neurology outpatient clinic of Hospital XYZ experiences prolonged service cycles; Knowledge Gap: evidence is limited on combining end-to-end process mapping with structured risk prioritization to target time waste in outpatient pathways; Aims: this study identified dominant wastes and designed improvements using Lean Healthcare tools (Big Picture Mapping) and FMEA; Results: the baseline total service time was 9,158 s (2.54 h) with value-added time 837 s (9.14%) and NVA 89.99%, while the proposed future state reduced NVA time to 5,038 s (1.40 h) and increased value-added time to 16.61%; Novelty: the work integrates BPM-derived waste quantification with FMEA-based prioritization to translate waste diagnosis into actionable redesign; Implications: implementing streamlined registration (including online access), standard work, and routine facility maintenance can shorten outpatient lead time and support continuous quality improvement. Highlights: Baseline pathway shows very high NVA time (89.99%) versus value-added time (9.14%). Proposed future state cuts NVA time to 5,038 s (1.40 h) and raises value-added time to 16.61%. BPM + FMEA provides a practical workflow to quantify waste and prioritize fixes. Keywords: Lean Healthcare, Big Picture Mapping, FMEA, Outpatient Clinic, Service Time Waste
Copyright (c) 2025 Lavina Felda Fauzia, Enny Aryanny https://creativecommons.org/licenses/by/4.0
Evolution of Ecological Thinking in Architectural Theory and Sustainable Design Paradigms
Ecological thinking has increasingly emerged as a central paradigm in contemporary architectural theory, driven by escalating environmental degradation, climate change, and the growing recognition of complex interactions between the built environment and natural systems. Despite the expansion of green and sustainable architecture discourse, prior studies often remain fragmented, focusing separately on environmental performance, materials, or digital tools, without integrating ecological theory, architectural heritage, and technological innovation into a coherent framework. This study aims to systematically examine the evolution of ecological thinking in architectural theory and to clarify its role in shaping sustainable and adaptive design paradigms. The research adopts a qualitative methodology based on systematic literature review, historical–theoretical analysis, and comparative evaluation of architectural paradigms, drawing on peer-reviewed journal articles, theoretical monographs, and recent studies on sustainability, biomimicry, and digital design technologies indexed in major academic databases. The findings reveal a clear paradigm shift from mechanistic and form-oriented architectural models toward holistic, system-based, and interactive ecological approaches, in which architecture is understood as an adaptive component of broader environmental, cultural, and technological systems. The results also demonstrate that digital tools such as Building Information Modeling, data-driven design, and artificial intelligence increasingly support ecological thinking by enabling life-cycle analysis, adaptive responses, and integrative decision-making. The novelty of this study lies in synthesizing ecological theory, traditional architectural knowledge, and contemporary digital technologies into an integrated theoretical perspective, rather than treating them as isolated domains. The implications suggest that ecological thinking should be positioned not merely as an environmental strategy but as a foundational architectural paradigm, informing theory development, guiding sustainable design practice, influencing policy on the built environment, and reshaping architectural education toward interdisciplinary and ecologically grounded curricula. Keywords : Ecological Architectural Theory, Sustainable Design Paradigms, Systems-Based Design, Biomimetic Architecture, Digital Design Technologies Highlight : Ecological thinking redefines architecture as integrative systems linking environmental, cultural, technological, and social dimensions. Architectural paradigms shift empirically from mechanistic models toward holistic, adaptive, and system-based ecological frameworks. Digital technologies actively support resource-aware, responsive design, strengthening ecological integration across architectural practice.
Copyright (c) 2025 Odina Olimova, O.N. Babakandov https://creativecommons.org/licenses/by/4.0
Origami Play Therapy and Preschool Child Development Outcomes
General Background: Early childhood represents a critical phase of growth in which optimal stimulation is required to support motor, language, and social development through structured educational and nursing activities. Specific Background: Play-based interventions, including origami activities, are frequently applied in early childhood education settings as routine learning strategies, yet their structured application within nursing-oriented developmental stimulation remains limited. Knowledge Gap: Empirical evidence comparing origami play therapy with routine daily activities using an integrated assessment of fine motor, gross motor, language, and personal–social development is still scarce, particularly in early childhood education institutions. Aims: This study aimed to examine preschool child development following origami play therapy compared with routine daily activities at PAUD (KB–TK) TBS Kajan, Krandon Kudus. Results: Using a quasi-experimental pretest–posttest control group design with 72 preschool children, origami play therapy and routine activities were both associated with significant improvements in developmental outcomes based on Denver Developmental Screening Test assessments, while post-intervention comparisons between groups showed no significant differences. Novelty: The study offers an integrated nursing-based application of origami play therapy assessed across multiple developmental domains within a quasi-experimental framework in an early childhood education context. Implications: These findings support the incorporation of structured origami activities and routine learning practices as complementary approaches in early childhood education and pediatric nursing to support comprehensive preschool development. Highlights • Preschool children showed measurable developmental improvement after structured play-based activities • Origami activities were associated with progress across motor, language, and social domains • Routine daily learning activities also demonstrated comparable developmental gains Keywords Origami Play Therapy; Preschool Child Development; Early Childhood Education; Developmental Screening; Pediatric Nursing
Copyright (c) 2026 Citra Karima Lailatul Hikmah, Umi Faridah, Indanah Indanah https://creativecommons.org/licenses/by/4.0
Buerger Allen Therapy and Foot Sensitivity in Diabetes Mellitus Patients
Background: Diabetes mellitus is a persistent global health condition frequently accompanied by peripheral neuropathy, which presents as reduced foot sensitivity and elevates the risk of foot-related complications. Specific background: Sensory impairment in the lower extremities remains a common clinical concern among diabetes mellitus patients receiving care at primary health facilities. Knowledge gap: Existing studies largely emphasize peripheral circulation parameters, while focused evidence describing foot sensitivity changes remains limited. Aims: This study aimed to describe foot sensitivity among diabetes mellitus patients undergoing Buerger Allen therapy in a community health setting. Results: A quasi-experimental pretest–posttest control group design was conducted with 82 participants. Monofilament testing revealed notable sensory changes in the intervention group, whereas the control group demonstrated relatively stable sensory findings. Novelty: This study places foot sensitivity as a primary clinical outcome rather than a secondary circulatory indicator. Implications: The findings support the incorporation of structured lower-extremity exercise within routine nursing care to address early sensory disturbances in diabetes mellitus. Highlights Buerger Allen therapy was accompanied by distinct foot sensory findings. Monofilament testing identified sensory patterns across intervention and control groups. Foot sensitivity served as a clinically meaningful outcome in diabetes care. Keywords Diabetes Mellitus, Buerger Allen Therapy, Foot Sensitivity, Diabetic Neuropathy, Nursing Care
Copyright (c) 2025 Isna Aulia Mukaromah, Diana Tri Lestari, Fitriana Kartikasari https://creativecommons.org/licenses/by/4.0
Developing a Supply Chain Management Application for Laying Hens with Integrated Egg Quality Detection Based on Computer Vision (Case Study of a Laying Hen MSME)
Manual egg grading and fragmented supply chain management in poultry SMEs often cause inconsistent egg quality decisions, inaccurate inventory records, and avoidable distribution losses. This study aims to develop and evaluate an integrated supply chain management system that embeds computer vision–based egg quality detection to improve real-time operational control and decision-making. The system is implemented as a digital SCM application connected to a convolutional neural network model trained on 1,200 labeled egg images across five quality categories (good, cracked, dirty, fertile, non-fertile), with performance assessed using accuracy, precision, recall, F1-score, and inference time, alongside before–after operational and economic measurements in an SME workflow. Results show the CNN achieves 92% validation accuracy with average precision 0.92, recall 0.94, F1-score 0.93, and 0.11 seconds per egg inference, enabling practical real-time classification. After integration, egg sorting accuracy increases from 75.5% to 90.2%, inspection time decreases by 81.3%, sorting capacity rises 5.3×, and inventory accuracy improves from 82% to 98%, reducing daily stock discrepancies by 85%. The novelty lies in tightly coupling computer vision quality outputs with SCM inventory and distribution modules, creating immediate stock updates and automated control points. The findings imply that AI-enabled digital supply chain management strengthens quality assurance, inventory optimization, and SME profitability, supporting scalable modernization of food supply chains through deployable computer vision systems. Highlights: Integrated computer vision raises egg sorting accuracy from 75.5% to 90.2%. Real-time CNN classification reaches 92% validation accuracy with 0.11 s inference. Digital SCM lifts inventory accuracy to 98% and delivers 193% ROI payback. Keywords: Computer Visio, Supply Chain Management, Egg Quality Detection, Convolutional Neural Network, Poultry SMEs, Inventory Optimization
Copyright (c) 2025 Lutfia Bamatraf, Rahmad Akbar, Zumardi Rahman, Belia Afifah, Nurkholis Nurkholis https://creativecommons.org/licenses/by/4.0
Purse Seine Fleet Optimization with E-Logbook Data in Gorontalo Fisheries
General Background Fisheries operations in Indonesia rely heavily on purse seine fleets whose performance determines regional marine resource utilization and post-harvest productivity. Specific Background At the Fish Landing Base (PPI Tenda) in Gorontalo City, mandatory e-logbook reporting provides real-time operational data enabling quantitative assessment of fleet productivity, seasonal variability, and technical capacity. Knowledge Gap However, this dataset has not been systematically applied to identify target production capacity (Ymax) or determine the optimal number of operational fleets to match infrastructural and biological limits. Aims This study evaluates e-logbook data from January–August 2025 to analyze productivity, estimate Ymax through linear regression, and apply Goal Programming to determine an optimal fleet configuration based on CPUE, gross tonnage productivity, and trip frequency tolerance. Results Findings show fluctuating productivity driven by fishing season dynamics, with efficiency reflected in CPUE ranging 0.587–0.860 and GT productivity increasing during peak months. Regression produced a performance model Y = −141.438 + 2.198X (p < 0.05) and estimated Ymax at 120–130 tons per hour with operative capacity of 110–120 tons per hour. Goal Programming modeling using 54 fleets indicates an optimal operational structure of 48 fleets to maintain production within target potential while reducing deviation from effort limits. Novelty This work provides the first integrated regression-based Ymax estimation combined with Goal Programming for purse seine fleet configuration decisions using verified e-logbook records from PPI Tenda. Implications Results offer evidence-based input for sustainable fisheries management, operational scheduling, and policy formulation to balance economic productivity with technical efficiency and resource sustainability in Gorontalo’s coastal fisheries system. Highlights Data-driven regression modeling identifies Ymax at 120–130 tons per hour. Goal Programming recommends 48 fleets as an optimal operational configuration. Seasonal shifts produce measurable fluctuations in CPUE and GT productivity. Keywords E-Logbook; Purse Seine Fleet; CPUE Productivity; Goal Programming Optimization; Gorontalo Fisheries
Copyright (c) 2025 Mega Deza Tahta Rahmawati, Aziz Salam, Alfi Sahri Remi Baruadi https://creativecommons.org/licenses/by/4.0
Interactive Web Geographic Information System Mapping Fire Prone Areas Using Dijkstra Algorithm
General Background: Fire disasters pose serious risks to public safety, material assets, and environmental sustainability, requiring rapid access to accurate spatial information. Specific Background: In Minahasa Regency, fire-prone area mapping and fire-fighting resource records are still managed manually, limiting information dissemination and slowing emergency response. Knowledge Gap: Existing practices lack an integrated web-based GIS that combines spatial visualization with shortest route analysis for operational fire management. Aims: This study aims to design and develop an interactive web-based Geographic Information System to map fire-prone areas, fire station locations, and water sources while providing shortest route recommendations using the Dijkstra Algorithm. Results: The system was developed using the Waterfall model with PHP, MySQL, and Leaflet.js, and black box testing confirmed that spatial data management, interactive visualization, administrative boundary filtering, and shortest route calculations operated as intended. Novelty: The research introduces the integration of fire-prone area mapping, fire-fighting resource management, and Dijkstra-based route analysis supported by OSRM within a single web GIS platform for Minahasa Regency. Implications: The developed system supports faster spatial information access and decision-making in fire management by providing route and water source recommendations through an interactive GIS interface. Highlights • Manual fire mapping processes were replaced by a centralized web-based GIS platform • Shortest route calculations were generated through integrated Dijkstra and OSRM services • Spatial visualization supported administrative filtering and emergency decision support Keywords Geographic Information System; Fire Prone Areas; Dijkstra Algorithm; Spatial Mapping; Shortest Route
Copyright (c) 2026 Efraim R. S. Moningkey, Regina Gloria Ratu, Kristofel Santa https://creativecommons.org/licenses/by/4.0
Priority Queue Algorithm Enhances Public Report Handling Efficiency and Accountability
The mechanism for handling public aspirations and reports in the Minahasa Regency Regional People's Representative Council (DPRD) still faces inefficiency and low accountability due to the manual process. The conventional First-In-First-Out (FIFO) system is unable to differentiate the urgency of reports, resulting in delayed follow-up of critical reports. This study designs and implements a web based Public Information Portal (PIP) that integrates a priority queue algorithm to automatically sort reports based on their urgency. The development method used is the Waterfall method. Test reults sgow significant performance improvements, marked by a recuation in waiting time for high priority reports by more than 50% and increased accuracy of handling based on urgency levels. This system also strengthens public accountability thorugh a real time status tracking feature. By offering a technical solution not found in previous research—namely an automatic prioritization mechanism specifically for managing aspirations within the DPRD—this study fills a research gap and makes a significant contribution to improving service quality and fulfilling the mandate of the Public Information Disclosure Law. Highlights • Priority queue mechanism reduces waiting time for high-priority reports by over 50%. • Automatic urgency-based sorting improves accuracy and responsiveness in report handling. • Real-time status tracking increases public accountability and transparency. Keywords Public Information Portal; Priority Queue Algorithm; Regional People's Representative Council; E-Government Transparency; Public Service Efficiency
Copyright (c) 2025 Rivni Detuage, Kristofel Santa, Efraim R. S. Moningkey https://creativecommons.org/licenses/by/4.0
Genetic Algorithm-Based Web Scheduler Enhances Fairness in Duty Allocation
This study aims to design and build a website-based application for scheduling fire and rescue personnel on duty at the Minahasa Regency Fire Department by implementing genetic algorithms. The main problem encountered is the manual scheduling process, which causes imbalances in schedule distribution, delays in information, and difficulties in adjusting when personnel changes occur. The system was developed using the Rapid Application Development (RAD) method thorugh the stages of needs identification, design, implementation, and testing. Genetic algorithms are used as an optimization mehod to produce a fair, efficient, and conflict free schedule. The system also provides a permit submission mechanism and automatic notifications to support officer communication and coordination. The results of User Acceptance Testing (UAT) showed an average score of 4.5 (versy good category), indicating that the system is easy to use and meets operational needs. Thus, this application contributes to improving the efficiency, accuracy, and transparency of the on-duty scheduling process at the Minahasa Regency Fire Department. HIGHLIGHTS • Ensures fair and conflict-free duty schedules using genetic algorithm optimization. • Improves communication and coordination with automated permit and notification features. • Achieves high usability with 4.5 UAT score, supporting operational readiness. KEYWORDS Genetic Algorithm; Scheduling System; Firefighters; Web-Based Application; Optimization
Copyright (c) 2025 Rahellea Joiby Onibala, Sondy Campvid Kumajas, Efraim Ronald Stefanus Moningkey https://creativecommons.org/licenses/by/4.0
Polynomial Regression Budget Prediction for Minahasa Fire Department
General Background: Public sector budget planning requires data-driven approaches to support service sustainability, particularly for emergency institutions such as regional fire departments. Specific Background: The Minahasa Regency Fire Department budget planning has relied on historical allocations that exhibit fluctuating and non-linear trends across expenditure categories. Knowledge Gap: Previous planning practices have not fully utilized non-linear statistical modeling to interpret historical budget dynamics and medium-term projections. Aims: This study aims to analyze historical budget trends and predict expenditure needs for the 2025–2027 period using a second-order polynomial regression model. Results: Using budget data from 2019–2024, the model successfully captured non-linear expenditure patterns, including a sharp increase in personnel and capital expenditures in 2024, with coefficients of determination of 0.448 for personnel expenditures and 0.409 for capital expenditures, while total projected expenditures approach IDR six billion by 2027. Novelty: This research integrates second-order polynomial regression with an interactive Streamlit-based application for visualizing and interpreting public sector budget projections. Implications: The findings provide an analytical basis for local governments to anticipate medium-term budget requirements, prioritize expenditures, and strengthen data-based financial planning for fire service operations. Highlights • Second-order polynomial modeling captures non-linear expenditure patterns across budget categories • Historical personnel expenditure spikes shape medium-term fiscal projections • Streamlit-based visualization supports data-driven public budget planning Keywords Polynomial Regression; Budget Prediction; Fire Department; Historical Data; Streamlit Application
Copyright (c) 2026 Inggried Rillya Sondakh, Kristofel Santa, Efraim Ronald Stefanus Moningkey https://creativecommons.org/licenses/by/4.0
Cloud-Based Digital Invoice Automation Improves Accuracy and Efficiency for Small and Medium Enterprises
Manual invoice management in SMEs often leads to delays, recording errors, and difficulty tracking documents. CV Mata Timur Nusantara still uses spreadsheets without a centralized system, making the administration process less efficient. This study developed a cloud-based digital invoice automation system to improve transaction accuracy and efficiency. The development method used the Waterfall model, including analysis, design, implementation, and testing. The system was designed using Laravel, React, and n8n workflow automation integration to automatically create and send PDF invoices through various communication channels. Test results showed that this solution was able to accelerate processes, reduce recording errors, and improve the consistency of document distribution. These findings prove that cloud-based automation is effective in SMEs to support faster and more accurate administration processes. Highlights • Accelerates invoice processing and distribution for SMEs • Reduces manual recording errors through automated workflow • Improves consistency and reliability of document delivery Keywords Digital Inovice; Workflow Automation; Cloud Computing; Information System; Application Integration
Copyright (c) 2025 Ryan Dwi Wicaksono, Dila Umnia Soraya https://creativecommons.org/licenses/by/4.0
Evaluation of YOLOv8n, YOLOv10n, and YOLOv11n for Early Detection of Seizures in Infants
Background: Infant epilepsy is a serious neurological condition that is difficult to recognize visually because seizure manifestations often resemble normal infant reflexes. Specific background: Advances in computer vision and deep learning have enabled image-based seizure detection as a non-invasive approach for early identification in infants. Knowledge gap: Comparative evaluations of different YOLO model generations under identical experimental settings for infant seizure detection remain limited. Aims: This study evaluates and compares the performance of YOLOv8n, YOLOv10n, and YOLOv11n in detecting seizure activity from infant image data. Results: Using a dataset of 645 images across seizure and neutral classes, YOLOv11n achieved the highest precision, recall, and mean average precision at stricter localization thresholds, while YOLOv10n demonstrated the fastest inference time. Novelty: This study provides a systematic cross-generation evaluation of YOLO nano variants for infant seizure detection using uniform training parameters. Implications: The findings support informed selection of YOLO architectures for non-invasive, image-based early seizure detection systems in clinical and real-time monitoring contexts. Highlights • YOLOv11n shows the most stable detection performance for infant seizure images • YOLOv10n achieves the fastest inference time under identical training settings • Cross-version evaluation reveals clear trade-offs between detection stability and processing speed Keywords YOLO, Epilepsy, Computer Vision, Object Detection, Infant Seizure Detection
Copyright (c) 2025 Muhammad Zulfiqar Rafi, Muis Muhtadi, Nofri Ramadan, Rinakit Estu Waluyo https://creativecommons.org/licenses/by/4.0
Web-Based Modernized Information System for Catfish Supply Chain Management in Village-Owned Enterprises
General Background: Information systems play an essential role in processing data into useful information for decision-making and improving work efficiency. In the business sector, these systems are not only used for recording but also serve as strategic tools for managing resources, designing distribution, and strengthening coordination among business actors. Knowledge Gap: However, in the fisheries sector, particularly in catfish farming in Kampar Regency, there are still challenges such as limited price information, dependence on middlemen, and inefficient distribution. These issues reduce farmers’ profits and limit consumer access to fresh products at reasonable prices. Aims: The development of a web-based Supply Chain Management (SCM) information system aims to facilitate distribution processes, support online transactions, and provide accurate data regarding production, pricing, and market demand. Result:Based on the results of the User Acceptance Test (UAT) conducted with 20 respondents and 10 evaluation questions, user acceptance of the system was very positive, with average scores ranging between 80–95 percent and an overall satisfaction rate above 85 percent. Novelty: This research integrates SCM principles into a web-based system specifically designed for rural-scale catfish supply chains, enabling direct interaction among farmers, BUMDes, and consumers in a single digital platform. Implication: The developed system is feasible to implement and has the potential to support BUMDes Koto Masjid in expanding market access, improving farmer welfare, and strengthening national food security. Highlights: Developed a web-based SCM system integrating farmers, BUMDes, and consumers in the catfish supply chain. Achieved over 85% user satisfaction based on UAT results from 20 respondents. Improved distribution efficiency, market access, and strengthened local food security. Keywords: Information System, Supply Chain Management, Catfish Farming
Copyright (c) 2025 Fina Nasari, Nina Veronika, Nur Asma Deli, Rahmad Akbar, Indra Habibie, Mahdiawan Nurkholifah, Suci Fitri Amelia https://creativecommons.org/licenses/by/4.0
BM25 Algorithm for Improving Academic Website Search Accuracy
General Background: The increasing volume of digital information in academic environments requires search systems that can deliver accurate and relevant results. Specific Background: The Faculty of Engineering UNIMA website still relies on simple keyword matching, which often produces irrelevant outputs and reduces the effectiveness of information access. Knowledge Gap: Although the BM25 algorithm is widely recognized for its superior relevance scoring in information retrieval, its application in faculty-level academic portals remains limited. Aims: This study aims to implement the BM25 algorithm using Meilisearch integrated with Laravel and Filament to improve search relevance, speed, and data management efficiency. Results: The implemented system successfully ranks the most relevant documents at the top with response times measured in milliseconds, and automatic index synchronization ensures consistent and up-to-date search results. Novelty: This research presents one of the first BM25-based search implementations within an Indonesian faculty website, integrating Laravel, Meilisearch, and Filament into a cohesive architecture. Implications: The findings show that BM25 significantly enhances the quality of search services and user experience, providing a scalable model for academic institutions seeking effective information retrieval solutions. Highlights: Enhances search relevance and speed on a faculty academic website using BM25. Integrates Laravel, Meilisearch, and Filament into a unified, easy-to-manage system. Offers a scalable model for improving information access in higher education portals. Keywords: BM25, Information Retrieval, Meilisearch, Laravel, Academic Website
Copyright (c) 2025 Glenn David Paulus Maramis, Marthasya Chantika Putri Ranti, Kristofel Santa https://creativecommons.org/licenses/by/4.0
Kabar Sunda Program Reduces Aggressive Behavior in Elementary Students
General Background: Aggressive behavior among elementary students disrupts learning activities and hinders social-emotional development in classroom environments. Specific Background: This condition was found in a third-grade student at SDN 1 Puspahiang, exhibiting physical, verbal, emotional, and hostile aggression, requiring contextual interventions aligned with Sundanese cultural values. Knowledge Gap: Although character education and cultural-based learning are theoretically recommended, practical implementation in schools remains limited, particularly programs integrating Kaulinan Barudak Sunda for behavioral regulation. Aims: This study aims to identify forms of aggression demonstrated by the student and to apply the Kabar Sunda (Kaulinan Barudak Sunda) Program as a strategy for reducing aggressive behavior. Results: A qualitative case study was conducted using participatory observation, in-depth interviews, and documentation over five traditional game sessions. Findings indicate aggressive behavior across dimensions conceptualized by Buss and Perry, triggered by internal emotional frustration and external disharmonious interactions, with aggression reduction reaching approximately 70–80% and improvement in rule compliance, participation, cooperation, and social interaction. Novelty: This research introduces a culturally grounded intervention through traditional Sundanese games as a contextual, engaging mechanism for behavioral regulation in early education settings. Implications: The outcomes offer a practical alternative for schools to employ local cultural assets as sustainable character-building strategies, reinforcing values of silih asih, silih asah, and silih asuh while fostering a conducive learning climate. Highlights Aggressive behavior decreased progressively across five sessions of traditional Sundanese games. Cultural values integration supported improvements in compliance, cooperation, and interaction. Localized educational programs created a meaningful alternative for character development. Keywords Aggressive Behavior; Elementary Students; Kabar Sunda Program; Traditional Games; Local Culture
Copyright (c) 2025 Rara Nurrahmah, Anggia Suci Pratiwi, Asti Tri Lestari, Rikha Surtika Dewi https://creativecommons.org/licenses/by/4.0
Character Education Values in the Novel Sanggarguri for High School Literature Learning
Background: Character education is a fundamental component of formal education, particularly in addressing moral and social challenges among students in contemporary society. Specific background: Literary texts grounded in local culture provide concrete representations of character values through narratives, traditions, and social interactions, as reflected in the novel Sanggarguri by Lalu Agus Fathurrahman. Knowledge gap: Previous studies on Sanggarguri have largely emphasized cultural and symbolic dimensions, while systematic analysis of character education values in relation to high school literature learning remains limited. Aims: This study aims to identify character education values embedded in the novel Sanggarguri and to describe their use within high school literature learning. Results: The analysis reveals five dominant values: respect, responsibility, tolerance, cooperation, and courage, manifested through characters’ attitudes, cultural rituals, and moral decision-making. Novelty: This study positions Sanggarguri as a local literary text that integrates Sasak cultural wisdom with character education values. Implications: The findings support the use of local novels as contextual teaching materials for high school literature learning, particularly in developing moral awareness, empathy, and cultural understanding in line with curriculum objectives. Highlights Identification of five core character education values in Sanggarguri. Representation of Sasak local wisdom through literary narratives and traditions. Suitability of the novel for high school literature learning contexts. Keywords Character Education, Novel Sanggarguri, Sasak Culture, High School Literature Learning, Local Wisdom
Copyright (c) 2025 Sri Ayu Fazlina, Saharudin, Aswandikari, Ahmad Sirulhaq, Burhanudin, Johan Mahyudi https://creativecommons.org/licenses/by/4.0
Lira Money Game for Strengthening Students’ Procedure Text Writing Skills
General Background: Writing procedural texts remains a challenge for elementary students, particularly in organizing steps, using effective language, and maintaining coherence. Specific Background: Integrating local wisdom through ethnopedagogical, game-based learning is viewed as a promising approach to enhance contextual and engaging writing experiences. Knowledge Gap: However, limited research has explored how local culture–based educational games combined with the Tri-N approach (Niteni, Nirokke, Nambahi) can improve procedural writing skills in elementary school contexts. Aims: This study investigates the effectiveness of the “Uang Lira” (Ular Tangga Literasi dan Kearifan Lokal) game in improving Grade V students’ procedural text writing skills. Results: Using a qualitative descriptive design involving observation, interviews, and document analysis, the findings show notable improvement, with students’ average writing scores rising from 68.5 to 85.3. Students demonstrated better procedural structuring, clearer language use, and enriched cultural integration within their texts. Novelty: The study offers a culturally grounded game-based writing model that operationalizes the Tri-N framework to simultaneously develop literacy and cultural appreciation. Implications: These results suggest that culturally integrated educational games can serve as effective, contextually meaningful tools for enhancing procedural writing skills while fostering students’ connection to local traditions. Highlights: Highlights the effectiveness of the “Uang Lira” game in improving students’ procedural writing skills. Emphasizes the role of the Tri-N approach in strengthening observation, imitation, and development stages. Shows how integrating local culture enhances student engagement and contextual learning. Keywords: Procedure Text, Ethnopedagogy, Tri-n Approach, Educational Game, Writing Skills
Copyright (c) 2025 Afri Liyana Estri Sari Wulan, Siti Rochmiyati https://creativecommons.org/licenses/by/4.0
Swimming as an Alternative Treatment for Various Health Conditions
Background Swimming is widely practiced as a physical activity and has been associated with diverse health-related benefits due to its low mechanical load and full-body movement characteristics. Specific background In recent years, swimming has also been positioned as an alternative treatment option for individuals experiencing various health conditions requiring recovery and rehabilitation. Knowledge gap Nevertheless, prior studies predominantly discuss physical or mental aspects separately, resulting in limited synthesis of swimming as an integrated treatment approach. Aims This study aims to examine swimming as an alternative treatment for various health conditions through a comprehensive literature review encompassing physical, psychological, and social dimensions. Results The findings indicate that swimming supports muscular function, cardiovascular and respiratory capacity, stress regulation, and psychosocial well-being, while remaining adaptable for conditions such as joint disorders, neurological disturbances, asthma, and scoliosis. Novelty This study offers an integrated treatment-oriented perspective that consolidates physical and mental recovery within a single analytical framework. Implications The results support the inclusion of swimming as a structured alternative treatment within health and rehabilitation programs tailored to individual conditions. Highlights Swimming functions as an alternative treatment across multiple health conditions. Water-based movement allows safe adaptation for rehabilitation needs. Physical recovery and mental regulation are addressed simultaneously. Keywords Swimming Therapy, Alternative Treatment, Health Conditions, Hydrotherapy, Rehabilitation Exercise
Copyright (c) 2025 Karina Permata Andhini, Supriyono https://creativecommons.org/licenses/by/4.0
Mobile Legends Gameplay and Student Outcomes in Islamic Religious Education
General Background: Digital gaming has become an integral part of adolescent life, influencing various dimensions of their learning experiences. Specific Background: Mobile Legends, a popular multiplayer online battle arena game, is widely played by students, yet its relationship with Islamic Religious Education (PAI) learning outcomes remains underexamined. Knowledge Gap: Previous studies predominantly address general academic performance, leaving a gap regarding how gaming behavior interacts specifically with PAI learning. Aims: This study examines the influence of Mobile Legends playing intensity on PAI learning outcomes among students at Sinar Husni Private High School. Results: Using a quantitative survey of 67 students and simple linear regression analysis, findings show a very weak positive but statistically insignificant correlation (R = 0.171; R² = 0.029; p = 0.166), indicating that gaming activity does not directly predict PAI academic performance. Novelty: Unlike earlier research emphasizing negative academic effects, this study highlights the potential indirect benefits of gaming—such as teamwork, decision-making, and emotional regulation—within the context of religious education. Implications: The findings suggest that regulated gaming need not be viewed strictly as detrimental; instead, educators may leverage its constructive elements to support character development and design more engaging PAI learning strategies. Highlights: Mobile Legends shows a very weak and non-significant influence on PAI learning outcomes. Gaming may offer indirect benefits such as teamwork, decision-making, and emotional regulation. PAI teachers can integrate positive gaming elements to support character-based learning. Keywords: Mobile Legends, Islamic Religious Education, Learning Outcomes, Digital Games, Student Behavior
Copyright (c) 2025 Alde Rizky Pratama Siregar, Miswar Miswar https://creativecommons.org/licenses/by/4.0
Implementation of the Mobsi Mobile Presence System in Improving the Discipline of State Civil Apparatus
General Background: Public sector organizations increasingly adopt e-government solutions to enhance administrative efficiency and employee discipline, particularly in attendance management systems. Specific Background: The Gunungkidul Regency Government replaced a manual attendance system—prone to manipulation, errors, and delayed reporting—with the MOBSI mobile presence system to improve discipline among State Civil Apparatus (ASN). Knowledge Gap: Despite growing adoption of mobile attendance systems, empirical evidence on their effectiveness in strengthening discipline and supervision in local government institutions remains limited. Aims: This study aims to analyze the implementation of the MOBSI mobile presence system and its role in improving ASN discipline in Gunungkidul Regency. Results: Using a qualitative case study approach involving key officials of the Pamong Praja Police Unit, the findings indicate that MOBSI enables real-time, GPS-based attendance monitoring, enhances supervisory control, simplifies data recording, and contributes to consistently high attendance rates throughout 2024. Novelty: This study provides contextual evidence of how a geolocation-based mobile attendance system functions as both a technological and managerial instrument for discipline enforcement in local government. Implications: The findings suggest that integrating mobile attendance systems within e-government frameworks can strengthen accountability, improve work discipline, and ultimately enhance the quality of public services in regional governments. Highlights: Digital Attendance Innovation: MOBSI replaces manual attendance with a GPS-based mobile system to ensure accurate and real-time monitoring. Discipline and Accountability: The system strengthens ASN discipline by reducing manipulation and improving supervisory control. E-Government Impact: MOBSI supports administrative efficiency and enhances the quality of public services in local government. Keywords: Mobile Attendance System, ASN Discipline, E-Government, GPS-Based Monitoring, Public Service Performance
Copyright (c) 2025 Ervina Ervina (Author); Sri Widiyanti, Junior Hendri Wijaya https://creativecommons.org/licenses/by/4.0
Service Quality Challenges and Strengths in a Remote Public Health Center
General Background: Quality primary healthcare services are essential in meeting increasing public expectations, particularly in remote regions. Specific Background: At the Sungai Boh Community Health Center, previous surveys reported low satisfaction scores, indicating persistent service quality issues. Knowledge Gap: Despite known challenges, empirical analysis across the SERVQUAL dimensions in remote health facilities remains limited. Aims: This study analyzes the quality of health services at the Sungai Boh Health Center based on five SERVQUAL dimensions: reliability, responsiveness, assurance, empathy, and tangibles. Results: Findings reveal that responsiveness and empathy are relatively strong, supported by staff commitment and routine training; however, service reliability and assurance are hindered by infrastructural limitations, incomplete medical equipment, and inconsistent discipline. Tangible aspects such as waiting areas and diagnostic tools remain inadequate. Novelty: This study demonstrates how geographical isolation interacts with human resource capacity and infrastructural constraints to shape service quality outcomes within a rural Indonesian health center. Implications: Improvements in supporting facilities, continuous professional development, strengthened SOP implementation, and enhanced coordination with local health authorities are required to ensure efficient, equitable, and patient-centered healthcare delivery in remote areas. Highlights: Strong responsiveness and empathy improve patient trust despite limited resources. Infrastructural and equipment gaps remain major barriers to service reliability. Continuous training and strengthened SOPs are crucial for sustaining quality care. Keywords: Health Service Quality, Servqual, Primary Healthcare, Patient Satisfaction, Remote Health Centers
Copyright (c) 2025 Martinus Ului, Ibnu Sabil, Agus Priyanto https://creativecommons.org/licenses/by/4.0
Social Media and Brand Personification for Micro and Small Culinary Enterprises
General Background: The rapid growth of culinary MSMEs in South Tangerang underscores their strategic role in strengthening regional and national economic resilience. Specific Background: Digital transformation, particularly through social media, has become a crucial tool for MSMEs to enhance visibility and build emotional engagement with consumers. Knowledge Gap: However, empirical studies examining how social media facilitates brand personification and its contribution to MSME business performance remain limited, especially in the culinary sector. Aims: This study aims to analyze the effectiveness of social media in supporting brand personification and its impact on the business development of culinary MSMEs in South Tangerang. Results: Using a qualitative approach with structured interviews, the findings reveal that platforms such as WhatsApp, TikTok, and Instagram significantly strengthen brand identity, foster customer interaction, and enhance consumer trust. Brand personification—expressed through personalized narratives, humanized brand identities, and consistent visual representation—plays a key role in increasing customer engagement and market reach. Novelty: This research offers a practical framework demonstrating how humanized digital branding strategies can be optimized by micro and small culinary entrepreneurs. Implications: The study highlights that effective social media utilization combined with strong brand personification can substantially improve business performance and support MSME growth in competitive digital markets. Highlights: Highlights the strategic role of social media in strengthening brand identity for culinary MSMEs. Emphasizes brand personification as a key factor in building emotional engagement with consumers. Shows that digital branding practices significantly enhance business growth and market reach. Keywords: MSME, Social Media, Brand Personification, Digital Marketing, Culinary Business
Copyright (c) 2025 Leo Alexander Tambunan, Paulus Yulius Fanggidae, Jessica Dorothy Suparto, Peter Frederick Sumardin, Enrico Julio Tejakusuma https://creativecommons.org/licenses/by/4.0