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All Journal bit-Tech International Journal Software Engineering and Computer Science (IJSECS)
Nugraha Nugraha
Nusa Putra University
Computer Science & IT

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Apriori Algorithm Analysis of Mattress Material Usage Data for Enhanced Production Optimization Niko Suwaryo; Santoso Santoso; Masgo Masgo; Tugiman Tugiman; Sandy Gunarso Wijoyo; Nugraha Nugraha
International Journal Software Engineering and Computer Science (IJSECS) Vol. 5 No. 2 (2025): AUGUST 2025
Publisher : Lembaga Komunitas Informasi Teknologi Aceh (KITA)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/ijsecs.v5i2.4362

Abstract

Production is a value-adding process that transforms raw materials into finished products to meet manufacturing requirements. Association rule analysis serves as a methodological approach to identify relationships between items, particularly in transactional datasets. This analytical method has proven effective in processing exchange data patterns. Analysis of production material usage patterns revealed that when items A and B are utilized, there exists a 50% probability of concurrent item C usage - a significant pattern emerging from transactional data analysis. The study generated association rules for each operational process. Empirical testing through RapidMiner Studio yielded consistent results, demonstrating linear relationships proportional to the modeled scenarios, thereby validating the model's applicability as a decision-making reference. The evaluation of generated association rules through RapidMiner Studio revealed a Lift Ratio value of 1. These results indicate that combinations meeting or exceeding a Lift Ratio threshold of 1 demonstrate statistical validity and practical utility.
Enhancing E-Commerce System Scalability Through Event-Driven Architecture with RabbitMQ and Docker Rifqi Ramdhani; Alun Sujjada; Nugraha Nugraha
bit-Tech Vol. 8 No. 2 (2025): bit-Tech
Publisher : Komunitas Dosen Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32877/bt.v8i2.2948

Abstract

The rapid expansion of e-commerce in Indonesia has intensified the demand for highly scalable and responsive systems, especially during high-traffic periods. Traditional architectures that rely on synchronous Remote Procedure Call (RPC) models often experience performance bottlenecks, which can degrade user experience during peak load. To address this limitation, this study evaluates the use of an Event-Driven Design (EDD) architecture to improve system scalability and responsiveness. The objective is to compare the performance of RPC and EDD architectures using the "Add to Cart" feature an essential interaction in the e-commerce transaction flow as a benchmark. Two identical e-commerce prototypes were developed: one utilizing RPC and the other EDD, which incorporates asynchronous message processing. Performance testing was conducted using virtual users under multiple load scenarios to assess average response time and throughput. Results showed that the EDD-based system achieved up to 495 requests per second and maintained response times as low as 49–52 ms, whereas the RPC-based system peaked at only 5.1 requests per second with significant latency increases. These results represent a performance improvement of over 9,000% in throughput, confirming EDD's superiority in high-concurrency environments. This study contributes empirical evidence to the architectural decision-making process in e-commerce system design by demonstrating the substantial advantages of asynchronous, decoupled communication models. The findings support the adoption of EDD as a scalable and resilient solution for modern e-commerce platforms facing unpredictable traffic loads.
Cluster Analysis of Electricity Customers in Sukabumi Regency Using K-Means Clustering Andhika Oktasandira; Nugraha Nugraha; Anggun Fergina
bit-Tech Vol. 8 No. 2 (2025): bit-Tech
Publisher : Komunitas Dosen Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32877/bt.v8i2.2970

Abstract

The uneven distribution of electrical energy poses a formidable challenge to strategic infrastructure planning and equitable regional development, often hindering sustainable economic growth and exacerbating socio-economic disparities. This issue is particularly acute in a vast and geographically diverse region such as Sukabumi Regency. This study addresses this critical issue by applying the K-Means clustering algorithm to segment 47 sub-districts based on comprehensive electricity customer data from 2019 to 2023, aiming to uncover distinct patterns of energy consumption. The primary novelty of this research lies in (1) its granular application of cluster analysis to sub-district-level electricity customer data for regional energy planning in Indonesia, a previously underexplored area, and (2) the implementation of the results into an intuitive, Streamlit-based interactive web application. This tool serves as a powerful decision-making dashboard for stakeholders, enabling dynamic data exploration and geographical visualization. The methodology encompasses meticulous data collection from official sources, rigorous pre-processing involving data normalization, determining the optimal number of clusters using the well-established Elbow Method, and validating cluster quality with the robust Silhouette Coefficient. The results definitively indicate that three clusters representing Low, Medium, and High energy consumption tiers are the most optimal segmentation. This is substantiated by a strong Silhouette score of 0.6911, which confirms a cohesive and well separated cluster structure. The practical implications are significant, providing a data-driven framework for prioritizing infrastructure investments, enhancing resource allocation efficiency, and supporting the formulation of more targeted energy policies. Ultimately, this study offers a replicable model for other regions facing similar challenges, fostering more sustainable development pathways
Development and Implementation of a Web-Based Village Information System to Optimize Services Fahad Rizki; Nugraha Nugraha; Zaenal Alamsyah
bit-Tech Vol. 8 No. 2 (2025): bit-Tech
Publisher : Komunitas Dosen Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32877/bt.v8i2.2976

Abstract

Batununggal Village faces persistent challenges in administrative services, including manual processes that cause delays, inefficiencies, and limited access to information. This study develops a web-based village information system designed to optimize these services through the Prototype method. The system integrates React.js for the frontend, Laravel for the backend, and MySQL for the database, forming a scalable and user-friendly architecture. Unlike previous studies that focused only on basic services, the proposed system introduces a more comprehensive model by combining online letter submission, resident data management, UMKM promotion, transparent APBDes reporting, and citizen complaint channels.The Prototype method was applied iteratively, allowing continuous refinement based on feedback from both residents and village staff. System testing employed black-box evaluation, confirming that all features functioned as expected. Furthermore, user satisfaction was measured through a Likert-scale questionnaire distributed to 31 residents, resulting in an overall score of 81.55%, categorized as “Agree.” Similarly, evaluations from 10 village staff indicated that 70–80% found the system very helpful in supporting their tasks. These findings demonstrate that the system improves service efficiency, increases transparency, and enhances community participation in governance. In addition to addressing long-standing service issues in Batununggal Village, the system provides a replicable model for other rural communities. Future development will prioritize the integration of automated notifications and a mobile application to broaden accessibility and ensure long-term adoption.
Co-Authors adang badru jaman,anggun fergina, adang badru jaman,anggun fergina Alun Sujjada Andhika Oktasandira Fahad Rizki Masgo Masgo Rifqi Ramdhani Sandy Gunarso Wijoyo Santoso Santoso Suwaryo, Niko Tugiman Tugiman Zaenal Alamsyah