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Penerapan Metode Prototype Dalam Perancangan Sistem Informasi Service Pada Bengkel Sido Motor Berbasis Website Vembria Rose Handayani; Meida Intan Saputri; Eka Rahmawati; Chandra Kesuma
Informatics and Computer Engineering Journal Vol 4 No 2 (2024): Periode Agustus 2024
Publisher : Lembaga Penelitian dan Pengabdian Masyarakat (LPPM) Universitas Bina Sarana Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31294/icej.v4i2.3467

Abstract

Abstracts - Motorbikes, as private vehicles, are an economical and very popular means of transportation in Indonesia. However, almost all motorbike riders have experienced problems such as a loose or broken chain, engine breaking down, and other problems. For this reason, workshops have an important role in helping motorists overcome these various problems. Sido Motor Workshop is one of the workshops located in Karangsalam Village, Kemranjen, Banyumas. Sido Motor Workshop provides service services, sells spare parts, oil and a variety of other motorbikes. Service at the Sido Motor workshop is still manual. This means that customers have to queue if they want to get motorbike service. Processing transaction data and payments for services, spare parts and preparing reports is still done manually. Therefore, it is necessary to design an information system to facilitate service activities at the Sido Motor workshop. The method for designing this information system uses the prototype method, where this method has stages, namely requirements gathering and system analysis, design modeling, prototype formation, and prototype evaluation. Using UML to describe the flow and functionality of a system. It is hoped that the implementation of the information system at the Sido Motor workshop will make all activities more effective and efficient. Admins can manage service data and make reports in a timely manner. And the Sido Motor workshop's income continues to increase and the number of customers continues to increase.
SISTEM INFORMASI KOPERASI PETANI GUNA PENINGKATAN PEREKONOMIAN DI DESA CILEMPUYANG Kesuma, Chandra
Jurnal Manajamen Informatika Jayakarta Vol 5 No 1 (2025): JMI Jayakarta (Februari 2025)
Publisher : Sekolah Tinggi Manajemen Informatika dan Komputer Jayakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52362/jmijayakarta.v5i1.1790

Abstract

Farmer cooperatives in Cilempuyang Village have a strategic role in supporting the improvement of the economy of the village community. However, manual cooperative management often faces challenges such as lack of transparency, operational efficiency, and difficulties in financial records. This cooperative also provides various agricultural needs that can be purchased in installments and can provide loans and capital storage. However, officers still have difficulties in managing goods data and have to come directly to the cooperative for their members. This research aims to design and develop a web-based farmer cooperative information system that can improve the efficiency of cooperative management, speed up the transaction process, and provide accurate and transparent financial reports. This system provides member management features, recording of crop and loan transactions, as well as automatic financial reports that can be accessed in real-time by administrators and members. The system development methodology uses the waterfall method which consists of the stages of needs analysis, design, implementation, testing, and maintenance. With the implementation of this system, it is hoped that farmer cooperatives can become a driving force for a more independent and sustainable village economy.
Retrieval Augment Generation (RAG) Governance Architecture for Enterprise Information Systems Kesuma, Chandra
International Journal of Informatics, Economics, Management and Science Vol 4 No 2 (2025): IJIEMS (August 2025)
Publisher : Sekolah Tinggi Manajemen Informatika dan Komputer Jayakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52362/ijiems.v4i2.2051

Abstract

Abstract: Retrieval-Augmented Generation (RAG) has emerged as one of the most advanced approaches in leveraging large language models (LLMs) by combining them with knowledge-based retrieval mechanisms. Unlike pure LLMs that solely rely on pre-trained data, RAG enables systems to reference up-to-date and relevant information sources, thereby producing responses that are more accurate and contextually appropriate. This study proposes a governance-ready RAG architecture specifically designed for enterprise information systems, with a focus on improving answer accuracy, auditability, and regulatory compliance. In a case study within the domain of corporate document management, the proposed architecture demonstrates its ability to significantly enhance both retrieval performance and the quality of generated responses compared to baseline LLMs. The integration of data governance modules, audit trails, and policy layers ensures that the system remains transparent and accountable, particularly in enterprise environments that demand clear auditability. Furthermore, the inclusion of policy layers guarantees that the system operates in alignment with both corporate and national regulatory standards. Evaluation results indicate a substantial improvement, with retrieval precision increasing by up to 23% compared to the baseline. These findings highlight that governance-ready RAG can serve as a critical foundation for developing enterprise information systems that are not only smarter and more efficient, but also secure and regulation-compliant [1][5]. Keywords: Retrieval-Augmented Generation, Information Systems, Data Governance, Auditability, Enterprise AI.
Penerapan Metode Prototype Dalam Perancangan Sistem Informasi Service Pada Bengkel Sido Motor Berbasis Website Vembria Rose Handayani; Rose Handayani, Vembria; Intan Saputri, Meida; Rahmawati, Eka; Kesuma, Chandra
Informatics and Computer Engineering Journal Vol 4 No 2 (2024): Periode Agustus 2024
Publisher : Lembaga Penelitian dan Pengabdian Masyarakat (LPPM) Universitas Bina Sarana Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31294/icej.v4i2.3467

Abstract

Abstracts - Motorbikes, as private vehicles, are an economical and very popular means of transportation in Indonesia. However, almost all motorbike riders have experienced problems such as a loose or broken chain, engine breaking down, and other problems. For this reason, workshops have an important role in helping motorists overcome these various problems. Sido Motor Workshop is one of the workshops located in Karangsalam Village, Kemranjen, Banyumas. Sido Motor Workshop provides service services, sells spare parts, oil and a variety of other motorbikes. Service at the Sido Motor workshop is still manual. This means that customers have to queue if they want to get motorbike service. Processing transaction data and payments for services, spare parts and preparing reports is still done manually. Therefore, it is necessary to design an information system to facilitate service activities at the Sido Motor workshop. The method for designing this information system uses the prototype method, where this method has stages, namely requirements gathering and system analysis, design modeling, prototype formation, and prototype evaluation. Using UML to describe the flow and functionality of a system. It is hoped that the implementation of the information system at the Sido Motor workshop will make all activities more effective and efficient. Admins can manage service data and make reports in a timely manner. And the Sido Motor workshop's income continues to increase and the number of customers continues to increase.
Online News Hoax Detection Using Machine Learning Classification Algorithms Kesuma, Chandra
International Journal of Informatics, Economics, Management and Science Vol 5 No 1 (2026): IJIEMS (January 2026)
Publisher : Sekolah Tinggi Manajemen Informatika dan Komputer Jayakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52362/ijiems.v5i1.2287

Abstract

The rapid growth of digital media usage has significantly increased the spread of hoax news. Such information can lead to misinformation, social anxiety, and public misunderstanding. This study proposes an automatic detection approach for Indonesian-language hoax news using machine learning-based classification algorithms. A dataset consisting of 3,000 Indonesian news articles collected from social media platforms and online news portals was employed and validated using a fact-checking website (TurnBackHoax.id). The proposed method involves text preprocessing, feature extraction using Term Frequency–Inverse Document Frequency (TF-IDF), and classification using Naive Bayes and Support Vector Machine (SVM) algorithms. Model performance is evaluated using accuracy, precision, recall, and F1-score metrics. Experimental results indicate that the SVM algorithm achieves better performance than Naive Bayes in detecting hoax news. The findings demonstrate that machine learning-based classification can provide an effective solution for automatic hoax detection and can be further developed for practical implementation.