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Jurnal Teknologi Dan Sistem Informasi Bisnis
Published by Universitas Dharma Andalas
ISSN : -     EISSN : 26558238     DOI : -
Core Subject : Science, Engineering,
Computer Science & IT Electrical & Electronics Engineering
Jurnal Teknologi dan Sistem Informasi Bisnis merupakan Jurnal yang diterbitkan oleh Prodi Sistem Informasi Universitas Dharma Andalas untuk berbagai kalangan yang mempunyai perhatian terhadap perkembangan teknologi komputer, baik dalam pengertian luas maupun khusus dalam bidang-bidang tertentu yang terkait dengan teknologi informatika komputer. Naskah yang diterima untuk diterbitkan berupa hasil penelitian lapangan, penelitian kepustakaan, pengamatan serta karya ilmiah yang berhubungan dengan topik yang relevan dengan situasi Teknologi Komputer.Jurnal Teknologi Komputer terbit 2 kali dalam satu tahun yaitu bulan Januari dan Juli.
Arjuna Subject : Ilmu Komputer (semua kategori) - Sistem Informasi
Articles 492 Documents
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Analisis Performa Komparatif Algoritma Machine Learning untuk Deteksi Fraud dalam Transaksi Blockchain Ni Putu Eka Apriyanthi; Civica Moehaimin Dhewanty; Putu Desiana Wulaning Ayu; I Made Riyan Adi Nugroho; I Wayan Rizky Wijaya
Jurnal Teknologi Dan Sistem Informasi Bisnis Vol 8 No 1 (2026): Januari 2026
Publisher : Prodi Sistem Informasi Universitas Dharma Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47233/jteksis.v8i1.2285

Abstract

The decentralized finance (DeFi) and blockchain environment encounters substantial security threats, particularly complex and expensive fraudulent activities. Conventional detection methods frequently prove insufficient when dealing with enormous transaction volumes and datasets characterized by unbalanced class distributions. This research seeks to examine and evaluate the effectiveness of three widely used machine learning techniques Logistic Regression, Random Forest, and XGBoost in identifying fraudulent activities within blockchain transactions. The investigation utilized an Ethereum transaction dataset sourced from Kaggle, where the imbalanced data distribution was addressed through the application of SMOTE methodology. Performance assessment was carried out using precision, recall, F1-score, and ROC-AUC measurements on testing data. The findings demonstrate XGBoost's superiority among the algorithms, delivering an accuracy rate of 99.46%, precision of 99.69%, recall of 97.86%, and ROC-AUC score of 99.97%, while maintaining minimal false positive occurrences (only 1 instance). These results exceeded those achieved by both Random Forest and Logistic Regression models, demonstrating that gradient boosting methodologies excel at detecting intricate fraudulent behaviors. The study's outcomes offer significant contributions toward creating resilient and autonomous fraud detection frameworks. Keywords: Blockchain, Fraud, Machine Learning, Logistic Regression, Random Forest, XGBoost.
Sistem Informasi Uji Kelayakan Kendaraan Bermotor Berbasis Android (Studi Kasus pada CV. Axlindo Telematika Purwokerto) Endang Setyawati; Axl Adilla; Purwono Purwono; Adhi Wibowo; Muhammad Hery Santoso
Jurnal Teknologi Dan Sistem Informasi Bisnis Vol 8 No 1 (2026): Januari 2026
Publisher : Prodi Sistem Informasi Universitas Dharma Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47233/jteksis.v8i1.2286

Abstract

This study discusses the development of a motor vehicle roadworthiness test information system at CV. Axlindo Telematika Purwokerto, which was previously carried out manually through the registration process, testing, recapitulation, and issuance of KIR certificates. This manual system made the service ineffective and time-consuming. The solution developed was an ECU (Electronic Control Unit)-based Electronic Scanner with NodeMCU RS232 support that can automatically read test data and store it on a server for access via the web or Android applications. The development method used a prototype with REST API integration. The test results showed an increase in effectiveness of 98.9%, efficiency of 86.6%, usefulness of 82.2%, and a difference in data transmission time from 19.2 seconds to 1.39 seconds. The main contribution of this study is the design of hardware and software integration that can improve the accuracy and speed of KIR testing based on an intelligent information system.
Sistem Kecerdasan Buatan Untuk Deteksi Kondisi Daun Berbasis Metode Klasifikasi Habil Fahrozi; Rifky Ramadhan Adiansyah; Zaidan Samit; Sujiliani Sujiliani; Rame Santoso; Veti Apriana
Jurnal Teknologi Dan Sistem Informasi Bisnis Vol 8 No 1 (2026): Januari 2026
Publisher : Prodi Sistem Informasi Universitas Dharma Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47233/jteksis.v8i1.2315

Abstract

Business Process Reengineering pada Layanan Perpustakaan SMKN 13 Malang Menggunakan Uji Efisiensi Throughput Anisa Ayu Nabila Nur Rahmah; Wildan Suharso
Jurnal Teknologi Dan Sistem Informasi Bisnis Vol 8 No 1 (2026): Januari 2026
Publisher : Prodi Sistem Informasi Universitas Dharma Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47233/jteksis.v8i1.2323

Abstract

Komparasi SVM dan Random Forest Berbasis Histogram Warna untuk Deteksi Penyakit Anggur Muhammad Faqihuddin; Rachmat Adi Purnama
Jurnal Teknologi Dan Sistem Informasi Bisnis Vol 8 No 1 (2026): Januari 2026
Publisher : Prodi Sistem Informasi Universitas Dharma Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47233/jteksis.v8i1.2340

Abstract

The decline in grape (Vitis vinifera) productivity is often caused by leaf diseases such as Black Rot, which are challenging to detect accurately through manual visual inspection The key point of this research is to compare the performance of two Machine Learning classification algorithms, namely Support Vector Machine (SVM) and Random Forest, to identify the most optimal model for disease detection. The methodology employs digital image processing with Histogram Color (HSV) feature extraction, which is chosen for its efficiency in representing color changes caused by infection. The grape leaf disease image dataset was classified and evaluated. The comparative results demonstrate that Random Forest achieved the highest accuracy of 95.32%, slightly surpassing SVM which reached 94.48%. These findings prove that both algorithms perform excellently, but Random Forest is more recommended for this dataset due to its superior robustness in accurately predicting disease classes.
Analisis Dan Perancangan Sistem Pencatatan Dan Pemantauan Kekeruhan Air Berbasis Website Ikvi Akmal Rivaldi; Pradita Eko Prasetyo Utomo; Muhammad Razi A
Jurnal Teknologi Dan Sistem Informasi Bisnis Vol 8 No 1 (2026): Januari 2026
Publisher : Prodi Sistem Informasi Universitas Dharma Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47233/jteksis.v8i1.2355

Abstract

The utilization of web-based information systems has been widely adopted to facilitate easier user access to information. Specifically, PAM Tirta Tempino requires a system to manage customer meter recording data and monitor water turbidity quickly and accurately. Therefore, this study aims to design and develop a web-based Information System for Recording and Monitoring Water Turbidity that ensures accessibility for users anytime and anywhere. The system development utilizes the Rapid Application Development (RAD) method. The result of this research is a web-based information system architectural design modeled using Unified Modeling Language (UML), allowing users (Head, Officer, and Customer) to manage and view data according to their respective access rights. Furthermore, the design was verified using the Requirement Traceability Matrix (RTM), yielding valid results which demonstrate that the design fulfills all specified requirements.
Analisis Keamanan Sistem Informasi RKSchool Depok Menggunakan Metode VAPT Ardika Oktavian; Zaki Imaduddin
Jurnal Teknologi Dan Sistem Informasi Bisnis Vol 8 No 1 (2026): Januari 2026
Publisher : Prodi Sistem Informasi Universitas Dharma Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47233/jteksis.v8i1.2363

Abstract

This study aims to evaluate the security level of the information system used by RKSchool, a micro-scale educational institution that relies on digital platforms for daily operations. The increasing number of cyberattacks targeting the education and MSME sectors highlights the need for systematic security assessments to minimize risks related to personal data exposure and service disruption. This research integrates penetration testing and vulnerability assessment based on the OWASP Web Security Testing Guide with perception analysis using the Technology Acceptance Model to examine organizational readiness in adopting the recommended security controls. The assessment was conducted through five main phases, including reconnaissance, scanning, exploitation, post-exploitation, and reporting. The findings indicate several vulnerabilities in server configuration, such as missing security headers, the absence of CSRF protection, and the lack of a Content Security Policy. TAM analysis shows that perceived usefulness and perceived ease of use have not yet formed a consistent behavioral intention toward security practices. The integration of both technical and behavioral findings demonstrates that the major risks do not solely originate from system weaknesses but also from limited organizational preparedness in implementing comprehensive security measures.
Systematic Literature Review: Karakteristik UI/UX Efektif untuk Efisiensi Sistem Informasi UMKM Civica Moehaimin Dhewanty; Putu Desiana Wulaning Ayu; Ni Putu Eka Apriyanthi
Jurnal Teknologi Dan Sistem Informasi Bisnis Vol 8 No 1 (2026): Januari 2026
Publisher : Prodi Sistem Informasi Universitas Dharma Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47233/jteksis.v8i1.2374

Abstract

Metode Waterfall untuk Implementasi Sistem Informasi Pengajuan Uji SNI Produk dan Kalibrasi Muhammad Muhammad; Sinta Maria; Mukhtar Mukhtar
Jurnal Teknologi Dan Sistem Informasi Bisnis Vol 8 No 1 (2026): Januari 2026
Publisher : Prodi Sistem Informasi Universitas Dharma Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47233/jteksis.v8i1.2381

Abstract

The submission of SNI product testing and calibration is a crucial process to ensure the quality and compliance of products and measuring instruments with applicable standards. However, the submission process at BSPJI Pekanbaru is still conducted manually, leading to several issues such as delayed services, data entry errors, and lack of transparency in information. This study aims to design and develop a web-based information system to facilitate the online submission of SNI product testing and calibration. The system development method used is the Waterfall model, which includes the stages of requirement analysis, system design, implementation, testing, and maintenance. Data was collected through observation, interviews, and literature review. The developed system includes features such as online submission, status tracking, test scheduling notifications, and result verification. The findings show that this system improves the efficiency of submission processes, reduces manual workload, and enhances real-time access to information for customers. This digital solution is expected to improve the quality of public services at BSPJI Pekanbaru.
Sistem Pendukung Keputusan Pemilihan Mobil MPV Terbaik Menggunakan Metode MOORA Dodi Guswandi; M Hafizh; Triana Novita
Jurnal Teknologi Dan Sistem Informasi Bisnis Vol 8 No 1 (2026): Januari 2026
Publisher : Prodi Sistem Informasi Universitas Dharma Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47233/jteksis.v8i1.2401

Abstract

The selection of Multi-Purpose Vehicles (MPVs) at dealerships in Padang City involves complex and often conflicting criteria, where subjective recommendations risk leading to inaccurate decisions. This study aims to develop an objective decision support system to recommend the best MPV tailored to local needs by applying a Multi-Criteria Decision Making (MCDM) method based on the MOORA algorithm. Its primary contribution is a triple-perspective criteria model that integrates product technical aspects, local consumer preferences in Padang, and dealership business interests. Seven MPV alternatives were analyzed based on nine expert-weighted criteria. The optimization results identify the Honda BR-V as the top-ranking MPV, followed by the Mitsubishi X-Pander and Toyota Veloz. Validation using Spearman's Rank Correlation yielded a coefficient of ? = 0.8036, confirming strong consistency with actual market performance. Thus, the MOORA method proves effective in generating accurate, objective recommendations for optimal MPV selection in Padang City.

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