Indonesian Journal of Innovation Studies

Revitalizing Customer Satisfaction in Indonesia's Rice Industry

Tue, 11 Jun 2024 00:00:00 +0000

CV. Central Karya Jaya, a rice distribution company, faced a 40% profit decline. This study aims to enhance company performance and customer satisfaction using the Balanced Scorecard and Importance Performance Analysis (IPA). Data from 70 respondents showed a financial ROE above 12%, but customer satisfaction had a 72.25% conformity, revealing unmet needs. Key improvements are needed in managerial friendliness, employee responsiveness, and personalized service. Recommendations include fostering better employee relations and understanding customer needs, with future research suggesting the use of Quality Function Deployment (QFD) for further service enhancement.

Highlights:

Financial Performance: ROE above 12% indicates solid financial health.
Customer Satisfaction: 72.25% conformity shows areas needing improvement.
Key Improvements: Enhance managerial friendliness and employee responsiveness

Keywords: Performance Measurement, Balanced Scorecard, Customer Satisfaction, Rice Distribution, Importance Performance Analysis

Seamless Solar-Powered Hydroponics Revolutionizes Urban Farming in Indonesia

Alfin Muchtarom, Jamaluddin Jamaluddin — Wed, 12 Jun 2024 00:00:00 +0000

This study explores the use of PLTS (solar power) as an alternative energy source for urban hydroponic systems. Due to PLTS's limited capacity, an automatic transfer switch (ATS) is utilized to seamlessly switch between PLTS and PLN (public electricity) based on sensor readings. The system uses an INA219 sensor to monitor PLTS voltage, a TDS sensor for water quality, and a NodeMCU microcontroller, with data displayed on an LCD and Blynk for remote monitoring. Testing showed a PLTS voltage of 12.0V, with sensor accuracies of 96% (INA219) and 98.59% (TDS). Overall, the system demonstrated reliable and optimal performance, providing a sustainable solution for urban hydroponic farming.

Highlights:

1. PLTS and PLN integration ensures reliable power for urban hydroponics.
2. High sensor accuracy supports precise system monitoring.
3. Remote monitoring via LCD and Blynk enhances control and sustainability.

Keywords: PLTS, hydroponic systems, automatic transfer switch, NodeMCU, sustainability

IoT revolutionizes orchid cultivation in Indonesia with precision and efficiency

Hasan Bisri, Syamsudduha Syahrorini — Wed, 12 Jun 2024 00:00:00 +0000

The Orchidaceae family is highly valued in ornamental, perfume, medical, and cosmetic industries, but cultivation often fails due to human error. This research aims to design an IoT-integrated automation system to monitor and control key parameters such as air temperature, humidity, and moss moisture for orchid cultivation. Using the research and development method, we observed plant needs, reviewed relevant literature, designed an effective system, and tested sensor accuracy and system reliability. Results showed the DHT-22 sensor had a minimal error in temperature (0.9%) and humidity (2.1%) readings, and the soil moisture sensor had a 3.65% error. The system maintained optimal conditions, and the Blynk app effectively displayed data. This innovation reduces human error and enhances orchid cultivation efficiency, with potential applications in other sensitive plant systems.

Highlight:

Error Reduction: IoT system minimizes human error in orchid cultivation.
Sensor Accuracy: DHT-22 sensors show minimal temperature (0.9%) and humidity (2.1%) errors.
Optimal Conditions: Maintains air humidity 40%-80%RH and moss moisture 50%-80%RH.

Keyword: Orchidaceae, IoT automation, sensor accuracy, environmental control, orchid cultivation

Smart Stick Revolutionizes Mobility for the Visually Impaired

Moh. Alfian, Shazana Dhiya Ayuni — Tue, 11 Jun 2024 00:00:00 +0000

Visual impairment significantly hinders daily activities, necessitating innovative solutions. This study develops and tests a smart walking stick using NodeMCU ESP-8266, HCSR-04 ultrasonic sensor, DFPlayer, and GPS, monitored via the Blynk app. Employing a research and development approach, the device demonstrated 100% accuracy in obstacle detection and location tracking, providing real-time feedback through audio notifications and smartphone monitoring. This smart walking stick enhances mobility and safety for visually impaired users, representing a significant advancement in assistive technology.

Highlights:

Accurate Obstacle Detection: 100% accuracy with HCSR-04 ultrasonic sensor.
Real-time Monitoring: GPS tracking via Blynk app.
Enhanced Mobility: Increases safety and independence for visually impaired users.

Keywords: Visual impairment, Smart walking stick, Ultrasonic sensor, GPS tracking, IoT

Innovative Service Quality Boosts Patient Satisfaction

Muhammad Zaqqi Zamroni Firdaus, Atikha Sidhi Cahyana — Wed, 12 Jun 2024 00:00:00 +0000

This study examines factors affecting service quality, patient satisfaction, and loyalty at Puskesmas XYZ, using Structural Equation Modeling (SEM) on data from 108 respondents. The results pinpoint doctor-patient interaction as crucial for service quality (loading factor 0.732), satisfaction (0.692), and loyalty (0.758). Suggestions include improving queue management, proposing a web-based system for efficiency. Future research can expand service quality variables for broader impact assessment.

Highlight:

Key Findings: Doctor interaction highly impacts patient loyalty and satisfaction.
Recommendation: Implement web-based queue management for improved healthcare service.
Future Research: Expand service quality variables for a broader patient assessment.

Keyword: Service Quality, Patient Satisfaction, Loyalty, Structural Equation Modeling (SEM), Queue Management

Revolutionizing Warehouse Efficiency with Shared and Class-Based Storage

Deddy Supriyadi, Atikha Sidhi Cahyana — Tue, 11 Jun 2024 00:00:00 +0000

This study addresses inefficiencies in the warehouse layout of a paper production company in Pasuruan, East Java, which led to delayed deliveries. By implementing shared storage (SS) using FIFO and class-based storage (CBS), the research aimed to optimize space and improve material handling efficiency. Data collection involved observation, interviews, and company records. The proposed layout reduced space usage from 59.45% to 16.95% and achieved significant time savings: 17.84% for brown paper, 8.84% for white paper, and 28.51% for custom-colored paper. The findings suggest that a systematic layout can greatly enhance warehouse efficiency. Future studies should consider the cost factors associated with these improvements.

Highlights:

Space Efficiency: Reduced usage from 59.45% to 16.95%.
Time Savings: Up to 28.51% for custom-colored paper.
Data-Driven: Used observations, interviews, and records for layout optimization

Keywords: Warehouse layout, material handling, shared storage, class-based storage, efficiency improvement

Markov Method Revolutionizes Paper Industry, Slashing Maintenance Costs Globally

Dikril Ilham Syaifullah, Tedjo Sukmono — Tue, 11 Jun 2024 00:00:00 +0000

Paper manufacturing industries rely on efficient machinery for production processes, yet neglecting maintenance can lead to substantial costs. This study addresses the maintenance cost optimization challenge in a Pasuruan paper company, where maintenance expenses exceed 20% of the standard. Utilizing the Markov chain method, the research identifies optimal paper machine maintenance costs, achieving a 32% cost reduction. By analyzing data from company documents and literature reviews, specific machine states are identified, recommending overhaul strategies to enhance operational efficiency. The study's implications underscore the method's effectiveness in reducing costs and improving productivity for paper manufacturing industries, offering valuable insights for similar sectors.

Highlights:

1. Neglecting maintenance in paper manufacturing leads to substantial costs.
2. Markov chain method optimizes paper machine maintenance, reducing expenses.
3. Implementation of optimal maintenance strategies significantly enhances financial sustainability.

Keywords: Paper manufacturing, Maintenance optimization, Markov chain method, Cost reduction, Operational efficiency.

EOQ Optimization Revolutionizes Inventory Management, Delivering Cost Savings Globally

Devira Kusuma Wardhani, Tedjo Sukmono — Tue, 11 Jun 2024 00:00:00 +0000

Efficient inventory management is crucial for companies to minimize costs while ensuring adequate supply to meet demand. PT Samawa Tirta Alam, a bottled sweet drinking water company, faces significant inventory management issues, notably with refined sugar raw materials. High transportation costs and fluctuating demand contribute to excessive inventory accumulation and increased storage costs, necessitating an optimization strategy. This study implements the Economic Order Quantity (EOQ) method to address these challenges. Through a mixed-method approach, qualitative data were gathered via observations and interviews, while quantitative analysis utilized historical data to calculate optimal order quantities, frequencies, safety stock levels, and reorder points. Results demonstrate substantial cost savings, with optimal order quantities determined, reducing order frequencies from 12 to 2 times per year, and minimizing safety stock levels. The findings underscore the effectiveness of the EOQ method in enhancing cost-effectiveness and operational performance in raw material inventory management for similar companies.

Highlights:

1. Cost Efficiency: EOQ method reduces total inventory costs effectively.
2. Operational Precision: Minimizing safety stock enhances operational efficiency.
3. Strategic Insight: Integrated approach provides practical solutions for inventory management challenges.

Keywords: Inventory Management, Economic Order Quantity (EOQ), Cost Optimization, Raw Materials, Transportation Costs

Markov Chains Slash Inventory Costs in Indonesia

Adinda Chamilia Mishani, Tedjo Sukmono — Wed, 12 Jun 2024 00:00:00 +0000

PT. Varia Usaha Beton, facing an 8% decline in 2022 targets due to uncontrolled inventory and a 15,150-ton overstock of sand at its BSP Sayung plant, needed an effective solution. This study applied a Markov chain model with perfect enumeration to optimize sand inventory management. Qualitative data from observations, expert interviews, and company records (2021-2022) and quantitative analysis identified Policy 58 as optimal, reducing excess costs to Rp. 32,463,360 monthly. Implementing improvements in specific overstock states (3, 4, 5, and 6) provides a strategic approach to minimize sand overstock and associated costs.

Highlight:

Inventory Decline: 8% target drop due to uncontrolled inventory in 2022.
Optimal Policy: Policy 58 reduced monthly excess costs to Rp. 32,463,360.
Strategic Improvements: Implement changes in states 3, 4, 5, and 6 to manage overstock.

Keywoard: Inventory Control, Markov Chain, Perfect Enumeration, Overstock Management, Construction Materials

Revolutionizing Welding Ergonomics to Mitigate Musculoskeletal Risks

Boy Isma Putra, Mohammad Reza Khatamy — Wed, 12 Jun 2024 00:00:00 +0000

This study examines ergonomic challenges faced by welders at CV. Frontec Agritama Engineering, focusing on catwalk welding. Using Rapid Entire Body Assessment (REBA) and Quick Exposure Check (QEC), ergonomic risks were evaluated. Results showed high-risk levels, urging immediate interventions. Proposed solutions include ergonomic workstations to reduce musculoskeletal injuries. This research contributes to workplace safety and productivity in manufacturing.

Highlight:

REBA and QEC methods assess ergonomic risks comprehensively.
Welding activities pose significant musculoskeletal risks.
Proposed ergonomic workstations enhance safety and productivity.

Keywoard: Ergonomics, Welding, Manufacturing, Musculoskeletal Risks, Workplace Safety

Reducing Production Defects in Indonesian Furniture Using Seven Tools and 5W+1H

Asrul Burhanudin, Atikha Sidhi Cahyana — Wed, 12 Jun 2024 00:00:00 +0000

PT. Romi Violeta, an Indonesian furniture company specializing in rattan and wood products, faces frequent production defects. This study aims to identify and reduce these defects using the Seven Tools and 5W+1H methods. Qualitative data were obtained through field observations and interviews, while quantitative data were gathered using the Seven Tools approach. From February to June 2022, color variation was the most frequent defect, with the highest defect rate in March at 26.5%. Root causes included factors related to man, material, machine, method, and environment. The proposed corrective actions aim to minimize these defects, enhancing overall product quality. Future research should explore additional defect causes using different methodologies.

Highlight:

Defect Analysis: Identified color variation as the most frequent defect.
Root Causes: Man, material, machine, method, and environment factors.
Corrective Actions: Proposed solutions to minimize defects and enhance quality.

Keywoard: Production defects, Seven Tools, 5W+1H, quality improvement, furniture manufacturing

Transforming Tablet Production in Indonesia with 66% Faster Manufacturing

Tiva Hendra Yus’Ady, Wiwik Sulistiyowati — Wed, 12 Jun 2024 00:00:00 +0000

This study addresses the high production costs of tablet products at PT. XYZ, a pharmaceutical company in Indonesia, due to long cycle and takt times. Using Causal Branching and KATA methods, data were collected over eight months through observations, interviews, and quantitative analysis. The study achieved a 43% reduction in reject foils from destripping, a 40% decrease in total cycle time, and a 66% reduction in takt time. These results highlight effective strategies for optimizing manufacturing processes and reducing costs in the pharmaceutical industry.

Highlights:

Cost Reduction: 43% reject foils, 40% cycle time reduction.
Methodology: Used Causal Branching and KATA for problem-solving.
Data Collection: Eight-month study with observations, interviews, quantitative analysis.

Keywords: Tablet production, Cycle time reduction, Takt time optimization, Causal Branching, KATA method

Unveiling Key Factors for Enhanced Employee Performance in Indonesia

Agung Andana Yoshanda, Wiwik Sulistiyowati — Wed, 12 Jun 2024 00:00:00 +0000

This study investigates the impact of employee competence and the work environment on performance at PT. Karya Mitra Teknik Forklift Sidoarjo. Through observations, interviews, and surveys with 30 employees over six months, the study applies Partial Least Squares Structural Equation Modeling (PLS-SEM) and Importance Performance Analysis (IPA). Results show that both competence and the work environment significantly influence performance, with timely task completion and a supportive work environment identified as key areas for improvement. Enhancing employee discipline and optimizing workplace conditions are recommended to boost productivity and employee satisfaction in heavy equipment service companies. Further research could explore additional factors like compensation to further enhance organizational outcomes.

Highlight:

Investigate competence and environment effect on employee performance.
Timely task completion and supportive work environment enhance performance.
Improve employee discipline and optimize workplace conditions for effectiveness.

Keywoard: Competence, Work Environment, Performance, Heavy Equipment Services, Employee Satisfaction

Prioritizing Maintenance Strategies for Efficient Forklift Performance Through Failure Analysis

Naufal Rizky, Wiwik Sulistiyowati — Wed, 12 Jun 2024 00:00:00 +0000

This study addresses forklift maintenance challenges at PT. Karya Mitra Teknik, focusing on undisciplined operators and overuse issues. Using Failure Mode And Effect Analysis (FMEA) and Fault Tree Analysis (FTA), it identifies root causes and suggests improvements. Data collected through observations, interviews, and flow diagrams pinpoint three priority failure modes: radiator, starter dynamo, and oil flow failure. Recommendations emphasize regular maintenance, cleanliness, and enhanced operational practices for effective issue mitigation.

Highlight:

Root Cause Analysis with FMEA and FTA.
Prioritizing Critical Failure Modes.
Recommend Disciplined Maintenance for Operational Enhancements.

Keyword: Forklift Maintenance, Root Cause Analysis, Improvement Recommendations, FMEA, FTA

Overcoming Quality Control Challenges in Car Exhaust Manufacturing

Moch. Agung Setiono, Atikha Sidhi Cahyana — Wed, 12 Jun 2024 00:00:00 +0000

PT. XYZ, a manufacturer of car exhaust components, faces significant defect-related challenges, impacting productivity and market competitiveness, particularly in Europe. Over six months, 3.18% of 184,708 produced components were defective. This study aims to determine the sigma level of quality control and identify root causes of defects using the Six Sigma DMAIC method and Root Cause Analysis (RCA). Observations and interviews revealed human error, machine issues, improper methods, substandard materials, and environmental factors as key contributors to defects. The sigma level was found to be 4, indicating suboptimal quality control. Recommendations for improvement include SOP development, operator training, standardized production methods, regular machine maintenance, and 5S organizational practices. Implementing these could reduce defects and improve productivity.

Highlight:

Defect Rate: 3.18% in 184,708 components.
Sigma Level: Evaluated at level 4.
Improvements: Implement SOPs, training, maintenance, 5S practices.

Keyword: Quality Control, Six Sigma, Root Cause Analysis, Manufacturing, Car Exhaust Components

Revolutionizing Foam Cutting Efficiency in Indonesia with AutoCAD

Resha Hibatur Rahman Hakim, Mulyadi — Tue, 11 Jun 2024 00:00:00 +0000

Foam set machines are essential for cutting foam sheets in various industries, including furniture, textiles, and foam manufacturing. PT. Amangriya, using a custom foam set machine for two years, identified the need for efficiency improvements. This research aimed to enhance the foam set machine's design using AutoCAD software. Key improvements included an automatic top clamp, a flexible side clamp, and reduced machine dimensions. These modifications resulted in a more efficient and compact machine, facilitating easier manufacturing and assembly processes. The study highlights the potential for significant efficiency gains in the foam manufacturing industry through design enhancements.

Highlight:

Enhanced machine design with AutoCAD software improves efficiency and functionality.
Key modifications include automatic top clamp and flexible side clamp.
Reduced machine dimensions facilitate easier manufacturing and assembly.

Keywoard: Foam set machine, design enhancement, efficiency, AutoCAD, manufacturing

Unveiling the Potential of Friction Stir Welding for Seamless Metal Joining

Dicky Fajar Rahmadan, Mulyadi — Wed, 12 Jun 2024 00:00:00 +0000

Friction Stir Welding (FSW) has revolutionized metal joining in manufacturing by offering robust joints without defects. This study examines FSW using specific parameters and evaluates its impact on mechanical properties and microstructure. Through rotational speed (2192 RPM), welding speed (36.3 mm/minute), tool tilt (3.4°), and concave shoulder angle (9°), FSW was applied to predetermined metal materials. Impact and Vickers tests were conducted post-welding to assess toughness, surface hardness, and microstructural changes. Results highlight the significant influence of FSW parameters on material properties, providing insights for optimizing efficiency and quality in the manufacturing industry. The study's findings contribute to addressing knowledge gaps and advancing FSW applications in industrial settings.

Highlight:

Precise Parameters: Control for strong joints in manufacturing.
Toughness Evaluation: Assessing joint resilience under dynamic loads.
Industry Optimization: Enhancing efficiency and quality in metal joining processes.

Keywoard: FSW, Manufacturing, Mechanical Properties, Optimization, Impact Testing

Arduino Sensors Reveal Temperature-Driven Compression Fluctuations in Vehicle Engines

Ubaidillah Fikroh, Syamsudduha Syahrorini — Wed, 12 Jun 2024 00:00:00 +0000

Many modern vehicles suffer from engine trouble due to decreased compression pressure, necessitating a simple and efficient measurement tool. This study develops an Arduino-based device to measure engine compression and temperature using a pressure sensor in the spark plug location and a temperature sensor in the oil gauge, with results displayed on a 16x2 I2C LCD. Testing each engine cylinder before and after heating shows that compression pressure is strongly influenced by temperature (over 80%). The tool enhances engine diagnostics, offering precise, real-time monitoring to improve vehicle maintenance and longevity.

Highlight:

Real-time Monitoring: Provides precise, real-time engine diagnostics.
Temperature Influence: Compression pressure is 80% influenced by temperature.
Enhanced Maintenance: Offers accurate compression and temperature measurements.

Keywoard: Engine trouble, Compression pressure, Arduino, Pressure sensor, Temperature sensor

NaOH Treatment Revolutionizes Strength of Fiber Composites Globally

Wahyu Aji Pamungkas, Edi Widodo — Wed, 12 Jun 2024 00:00:00 +0000

This study investigates Sansivera fiber-reinforced composite materials treated with 15% NaOH alkaline liquid for different durations using the hand lay-up method. The aim is to determine the optimal treatment duration that enhances the tensile properties of these composites. Results indicate that longer NaOH treatment periods positively impact tensile strength, with the best outcomes observed at 15% treatment for 8 hours. These findings contribute to improving the mechanical performance of Sansivera fiber composites for various industrial applications.

Highlight:

Sansivera composites strengthen with 15% NaOH for 8 hours.
Hand lay-up method enhances industrial applicability.
Optimal treatment duration for Sansivera fibers is highlighted.

Keyword: Sansivera fiber composites, NaOH alkaline treatment, Tensile strength enhancement, Hand lay-up method, Industrial applications

Transforming Aluminum Welding Through FSW Innovations

Sandifta Iffah Sjaifulah, Mulyadi — Thu, 13 Jun 2024 00:00:00 +0000

This study explores the impact of process parameters on the macrostructure of Aluminum alloy AA6061-T651 welded via Friction Stir Welding (FSW). Using Fillet joints and hexagonal tool geometries, the study investigates variations in tool rotation speed, tool tilt angle, and depth of penetration. Results show that specimens with a tool tilt angle of 3.4° exhibit optimal macrostructural properties, including equiaxed structures and increased Mg2Si phases, enhancing mechanical properties. This research contributes valuable insights for optimizing FSW parameters in AA6061-T651 welding, with implications for improving weld quality and performance in industrial applications.

Highlight:

FSW affects AA6061-T651 macrostructure.
Optimal parameters improve mechanical properties.
Study enhances aluminum weld quality.

Keyword: Friction Stir Welding (FSW), Aluminum alloy AA6061-T651, Process parameters, Macrostructure analysis, Mechanical properties

Designing Foundations on Natural Soil for Specified (Uniform) Settlement

Tulakov Elmurad Salomovich, Mamatkulova Zebinisso Shavkatovna — Fri, 28 Jun 2024 00:00:00 +0000

This study addresses the critical issue of differential settlement and long-term fracture prevention in building foundations. Mistakes in designing strip and column foundations on natural soil often lead to cracks due to uneven settlements, as traditional methods prioritize matching foundation base pressure to soil bearing resistance, often neglecting settlement calculations. This research highlights the importance of incorporating settlement analysis into foundation design. A comparative review of existing methods and field data reveals significant disparities between standard design approaches and those considering settlement. Findings show that foundations designed with consistent settlement criteria exhibit better structural strength and reduced crack formation. The study underscores the need for a fundamental shift in foundation design procedures to include settlement analysis, ensuring the long-term durability and safety of buildings.

Highlights:

Traditional foundation design often neglects settlement calculations, leading to structural issues.
Incorporating settlement analysis results in stronger, more durable foundations.
Comparative review highlights the need for updated design procedures to prevent cracks.

Keywords: Foundation Design, Settlement Analysis, Structural Strength, Differential Settlement, Crack Prevention

Wet Extraction Process and Its Physicochemical Changes in Virgin Coconut Oil

Andira Arisandhy, Nur Wulandari, Faleh Setia Budi — Fri, 06 Sep 2024 00:00:00 +0000

Background: Indonesia is a major exporter of virgin coconut oil (VCO), but global demand surpasses production. Optimizing extraction processes is crucial. Knowledge gap: While various extraction methods exist, the effect of specific parameters on VCO quality and yield needs systematic analysis. Aim: This review evaluates extraction methods to optimize VCO production, focusing on enzymatic and microbial fermentation. Results: From eight articles, enzymatic fermentation using alcalase at 60°C for 1.5 hours produced high-quality VCO (free fatty acids 0.19%, water content 0.04%, peroxide value 8.28 meq/kg) with the highest yield (98.25%). Microbial fermentation, though longer, also yielded good quality. Novelty: Alcalase enzymatic fermentation is more efficient than microbial methods. Implications: These findings can guide industrial optimization of VCO production to meet SNI 7381:2022 standards.

Highlights:

Enzymatic fermentation with alcalase at 60°C for 1.5 hours yields the highest VCO quality and yield.
Microbial fermentation, while effective, requires longer extraction times for similar results.
Optimal temperature and time significantly influence the quality and yield of VCO, meeting SNI 7381:2022 standards.

Keywords: Correlation, Enzymatic, Fermentation, Temperature, Time

Analysis of the Effect of Fraud Pentagon on Financial Statement Fraud Using M-Score and F-Score

Dewi Masitah — Fri, 14 Jun 2024 00:00:00 +0000

This study evaluates the influence of the Fraud Pentagon elements—pressure, opportunity, rationalization, capability, and arrogance—on the detection of financial statement fraud in State-Owned Enterprises (SOEs) listed on the Indonesia Stock Exchange during 2017-2019. Utilizing a quantitative methodology, data was collected from documents and literature studies and analyzed through logistic regression. The findings reveal that financial stability measured by the M-Score and F-Score models is significantly impacted by pressure, whereas opportunity affects fraud detection when using the M-Score model, and arrogance is significant with the F-Score model. However, no significant effects were observed for opportunity with the F-Score, rationalization with both models, capability with both models, and arrogance with the M-Score. These results underscore the variable influence of different fraud elements on the detectability of fraudulent activities, suggesting a need for targeted anti-fraud strategies within SOEs.

Highlights:

Pressure's Role: Pressure directly impacts financial fraud detection in SOEs.
Model Variability: Opportunity and arrogance influence fraud detection differently across M-Score and F-Score models.
Ineffective Elements: Several fraud elements show no significant impact, indicating gaps in detection methods.

Keywords: Fraud Detection, Financial Statement Fraud, M-Score, F-Score, SOEs

Innovative Legal Approaches for Contemporary Challenges in Indonesia

Fradhana Putra Disantara — Thu, 08 Aug 2024 00:00:00 +0000

General Background: Legal development in Indonesia faces multifaceted challenges due to globalization, technological advances, and complex socio-economic dynamics. Specific Background: The conventional legal frameworks struggle to keep pace with rapid societal changes and technological innovations, leading to inefficiencies and inequities in law enforcement and justice accessibility. Knowledge Gap: Existing research lacks comprehensive strategies integrating digital advancements and local wisdom to enhance legal systems' adaptability and effectiveness. Aims: This study aims to identify and assess innovative legal approaches that incorporate digital technology and local cultural insights to enhance the responsiveness and effectiveness of Indonesia's legal system. Results: The findings indicate that leveraging digital technology for public engagement, employing big data and AI for regulatory impact assessments, and integrating local customs into national law can significantly improve legal frameworks. Novelty: This research introduces a model combining technological and traditional approaches, ensuring a balanced evolution of the legal system aligned with Indonesia's unique cultural and societal context. Implications: Implementing these innovative approaches could lead to more equitable justice access, heightened transparency, and enhanced legal adaptability, promoting sustainable development and human rights protection in Indonesia.

Highlights:

Digital Engagement: Enhances public participation using digital platforms.
Data-Driven Regulation: Utilizes AI and big data for precise law-making.
Cultural Harmonization: Integrates local customs into national laws, promoting unity and respect.

Keywords: Innovative Law, Digital Technology, Legal System, Justice

Resource Valuation of Kalilingseng-Cave Manganese Mining Site as a Tourist Destination Using the Travel Cost Method

Tue, 24 Sep 2024 00:00:00 +0000

General Background: Kalilingseng Cave, a former Dutch-era manganese mine in Kulon Progo, has untapped potential for educational and cultural tourism. Specific Background: Despite its historical and aesthetic value, the cave remains underdeveloped as a tourist site, lacking comprehensive economic valuation. Knowledge Gap: Prior research has not addressed the cave's economic potential as a tourism destination, leaving a gap in understanding its full value. Aims: This study aims to evaluate the tourism potential of Kalilingseng Cave using SWOT analysis and estimate its economic value through the Travel Cost Method (TCM). Results: The SWOT analysis highlights the cave’s accessibility and proximity to public facilities. TCM results show an average WTP of IDR 67,000.00, with annual economic benefits of IDR 21,775,000.00. Novelty: This research uniquely integrates SWOT and TCM to assess the tourism potential of an abandoned mining site. Implications: Proper development could make Kalilingseng Cave a sustainable tourist destination, benefiting the local economy and supporting geotourism education.

Highlights:

Tourism Potential: Kalilingseng Cave's historical and aesthetic value positions it as an educational and geotourism destination.
Economic Valuation: The Travel Cost Method reveals an annual benefit of IDR 21,775,000.00 from visitors, indicating potential for community development.
SWOT Insights: The SWOT analysis highlights strengths like accessibility and opportunities for geotourism while addressing weaknesses such as poor air circulation and lack of official management.

Keywords: Ex-Manganense Mining, Kalilingseng, SWOT, Travel Cost Method

Analysis of Determining Inpatient Room Rates Using the Activity-Based Costing Method in a Healthcare Setting

Tue, 24 Sep 2024 00:00:00 +0000

Background: Hospitalization rate determination is crucial for healthcare cost management, yet traditional methods often lead to cost distortions. Specific Background: Muhammadiyah Tuban Hospital has historically utilized conventional costing methods, which have resulted in higher than necessary charges for hospital services. Knowledge Gap: There is limited research comparing traditional costing methods with more accurate and modern approaches like Activity Based Costing (ABC) in the Indonesian healthcare context. Aim: This study aims to compare hospitalization rates at Muhammadiyah Tuban Hospital using traditional methods and the ABC method, to highlight discrepancies and propose a more accurate costing framework. Results: The ABC method yielded significantly lower hospitalization rates across various classes (VIP, Class 1, Class 2, and Class 3) compared to traditional methods. For instance, the ABC rate for the VIP class was IDR 270,619, compared to IDR 495,000 set by traditional methods. Novelty: This study introduces the application of ABC in an Indonesian hospital setting, providing a clear contrast in cost-efficiency against traditional costing. Implications: The findings suggest that adopting the ABC method can lead to more precise and lower hospitalization rates, potentially reducing healthcare costs for patients and improving financial management within hospitals.

Highlights:

Cost Accuracy: ABC method offers more precise hospitalization rates than traditional methods.
Economic Impact: Adoption of ABC can lower patient costs and improve hospital financial management.
Innovation: Introduces a modern costing method to Indonesian healthcare, suggesting a shift from outdated practices.

Keywords: Activity Based Costing, Hospitalization Rates, Cost Management, Healthcare Economics

Psychological Capital and Innovative Work Behavior with Engagement and Job Crafting

Andriani Rahmi , Fadhliah M. AlHadar , Marwan Man Soleman, Rahmat Sabuhari — Mon, 07 Oct 2024 00:00:00 +0000

General background: Innovation is crucial for civil servants (ASN) to adapt and enhance organizational productivity. Specific background: Innovative work behavior (IWB) is essential for optimal performance, yet research often overlooks internal factors like psychological capital (PsyCap). Knowledge gap: The detailed role of PsyCap in influencing IWB, with mediators such as Employee Engagement (EE) and Job Crafting (JC), is underexplored. Aims: This study investigates the impact of PsyCap on IWB, with EE and JC as mediators, using SEM-PLS. Results: Data from 152 millennial ASNs in North Maluku show that 1) PsyCap significantly affects IWB, 2) PsyCap positively influences EE and JC, 3) EE significantly impacts IWB, while JC does not, and 4) EE partially mediates PsyCap and IWB. Novelty: Highlights the key role of EE in promoting IWB. Implications: Recommends enhancing PsyCap and EE through training and a positive organizational culture.

Highlights:

PsyCap significantly influences innovative work behavior among ASNs.
Employee engagement acts as a partial mediator between PsyCap and IWB.
Job crafting does not directly impact IWB in this study's context.

Keywords: Employee Engagement, Job Crafting, Innovative Work Behavior, Millennial Staff, Psychological Capital

Green Economy Innovation in Attracting Youth to Pond Fish Farming Profession

Have Zulkarnaen, Martha Laila Arisandra — Thu, 10 Oct 2024 00:00:00 +0000

The purpose of this study was to determine and analyze the effect of youth perceptions on interest in the fish farming profession mediated by green economy. The approach used in this research is a causal approach. The population in this study were village youth in Sungelebak, Sungegeneng Kec, Lamongan Kab. The sample in this study used simple random sampling with 100 respondents. The data collection technique in this study used a questionnaire technique. The data analysis technique in this study uses a quantitative approach using statistical analysis using the Auter Model Analysis test, Inner Model Analysis, and Hypothesis Test. Data processing in this study used the PLS (Partial Least Square) software program. The results of this study prove that directly youth perceptions and green economy have a significant effect on interest in the fish farming profession and indirectly green economy is able to mediate the effect of youth perceptions on interest in the fish farming profession.

Highlights:

Significant Relationships: Youth perceptions and green economy significantly influence interest in fish farming.
Mediation Effect: Green economy acts as a mediator between youth perceptions and fish farming interest.
Methodology: Utilized a causal approach with 100 respondents from Sungelebak village through questionnaires and PLS software.

Keywords: Youth Perception, Green Economic, Interest in Fish Farming Profession

Transformational Leadership Boosts Job Satisfaction and OCB Among BPS Employees

Jihan Faizatul Rahma Mardanillah, Marwan Marwan, Abdul Rahman Jannang — Tue, 05 Nov 2024 00:00:00 +0000

General background:In a dynamic world of work today, where more and more tasks have to be carried out in teams, employees are required to be able to work more flexibly and help the others in their team. This behavior is called organizational citizenship behavior (OCB). Specific background: OCB will appear when employees feel satisfied with the work they have. There are several leadership styles that can influence the growth of OCB behavior and job satisfaction felt by employees, one of which is the transformational leadership style. Aims:This study aims to determine whether there is a relationship between transformational leadership style and organizational citizenship behavior, mediated by job satisfaction among BPS employees in the North Maluku Province region using SEM-PLS. Results: Primary data was collected from a sample of 158 employees. The research results show that the transformational leadership style has a positive and significant effect both directly on employee OCB and indirectly mediated by employee job satisfaction variables.Novelty: highlights the key role of job satisfaction on OCB. Implications:Reccomends to pay attention to employee satisfaction and needs at work

Highlights:

Transformational leadership significantly enhances employee job satisfaction and OCB.
Job satisfaction mediates the relationship between transformational leadership and OCB.
Effective leadership styles are essential for fostering a positive work environment and maximizing employee contributions.

Keywords: Organizational Citizenship Behavior (OCB), Job Satisfaction, Transformational Leadership, Central Bureau of Statistics

Luth Badila's Learning Time

Muhammad Lutfi Badila, Wahyu Taufiq — Sat, 13 Jul 2024 00:00:00 +0000

Learning media play a crucial role in enhancing the student learning process, with various types of media being employed to engage students and facilitate better understanding. Posters are one such medium that can significantly enhance students' attention and interest during learning sessions. However, traditional posters often lack elements that make them interactive and engaging enough to substantially impact speaking skills and teamwork. This study aims to introduce and evaluate the effectiveness of a novel learning medium, known as Luth-Badila’s Learning Time, which utilizes uniquely designed 3D posters incorporating subject materials, quizzes, and a rotating clock embedded in a robot's head to attract students' attention and improve their speaking skills and teamwork. The implementation of Luth-Badila’s Learning Time in classrooms has shown promising results, with a noticeable increase in student engagement, improved speaking skills, and enhanced teamwork. The novelty of this learning medium lies in its interactive 3D design and the integration of multiple educational elements into a single poster, which is a significant departure from traditional 2D posters. The findings suggest that incorporating such innovative and interactive learning media in educational settings can lead to better student outcomes, particularly in terms of speaking skills and collaborative abilities. This study contributes to the existing body of knowledge by providing evidence of the benefits of using advanced, interactive posters in educational contexts, thereby encouraging educators to adopt similar approaches to enhance learning experiences.

Highlights:

Innovative Design: Luth-Badila’s Learning Time uses 3D posters with quizzes and a rotating clock to captivate students.
Improved Skills: This medium significantly boosts speaking skills and teamwork among students.
Educational Impact: Interactive posters lead to higher student engagement and better learning outcomes.

Keywords: 3D Poster, Learning Media, Speaking Skills, Student Engagement

The Effect of Networked Learning Model and Self-Efficacy on the Performance of Informatics Education Students in an Online Learning Environment

Adlia Alfiriani, Faiza Rini, Regina Ade Darman, Rini Novita — Wed, 23 Oct 2024 00:00:00 +0000

Online learning is becoming very popular nowadays in higher education, this is due to the increasing use of digital technology and the internet, the need to increase student affordability. The learning network model has been developed as an effective learning design in online learning which can be the right solution for. However, currently no empirical evidence has been found regarding the role of the learning network model, especially as moderated by self-efficacy. The aim of this research is to determine the role of the learning network model and self-efficacy on the performance of informatics education students in an online learning environment. The research design used was semi-experimental with a 2x2 factor. A total of 109 informatics education students for learning evaluation subjects were then divided into two groups, namely experimental and control. The research results show that the learning network model and self-efficacy have a significant effect on student performance in the cognitive aspect, while there is no significant effect in the psychomotor aspect. Other factors This can occur because there are other factors that can support the achievement of student skills besides learning self-efficacy.

Highlights:

Significant Impact: The learning network model and self-efficacy significantly enhance cognitive performance in online learning environments.
Limited Effect: No significant impact was found on psychomotor skills, indicating other factors influence skill development.
Research Design: A semi-experimental 2x2 factor design was utilized with 109 informatics education students to assess the variables.

Keywords: Learning Network, Online learning environment, Student performance, Self-efficacy, Informatics education

Topographic and Geodetic Survey for Samarkand's Administrative Boundaries

Obidova D. D, Khamdamova D. O — Thu, 31 Oct 2024 00:00:00 +0000

General Background: Administrative and territorial boundary delineation is vital in the effective governance and economic planning of urban regions globally, with digital technologies increasingly integrated into these processes for accuracy and efficiency. Specific Background: In Uzbekistan, the city of Samarkand’s administrative boundaries are undergoing significant realignment as part of a broader initiative to incorporate strategic urban centers and enable digital land management across administrative zones. Knowledge Gap: Existing methods lack precise integration with digital geospatial frameworks, leaving a gap in high-resolution topographic data essential for clear administrative delineation. Aims: This study seeks to develop and apply an accurate, digitally supported methodology for determining the boundaries of Samarkand's administrative units using advanced geodetic and topographic techniques. Results: By utilizing the CREDO DAT program, this study achieved precise boundary coordinates through the automated processing of survey points, and further analysis was conducted using the Panorama program for detailed map orientation. Novelty: This research presents a unique approach by integrating CREDO DAT with geospatial tools in administrative boundary demarcation, enabling accurate and reproducible results that surpass traditional methods in efficiency and scalability. Implications: The findings support the strategic planning of Samarkand’s infrastructure and resource allocation while also laying the groundwork for applying similar methodologies in other urban regions, advancing Uzbekistan’s digital transformation efforts in land management.
Highlights:

Digital tools enhance accuracy in administrative boundary mapping.
CREDO DAT and Panorama software streamline data processing for precise mapping.
This method supports effective urban planning and resource management in Samarkand.

Keywords: Administrative Zones, Border, Territory, District, City