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Jurnal Teknologi Dan Sistem Informasi Bisnis
Published by Universitas Dharma Andalas
ISSN : 29642132     EISSN : 26558238     DOI : 10.47233/jteksis
Core Subject :
Journal Teknologi dan Sistem Informasi Bisnis or Journal of Technology and Business Information Systems (JTEKSIS) E-ISSN: 2655-8238 P-ISSN : 2964-2132 is a journal published by the Information Systems Study Program at Dharma Andalas University for various groups who have an interest in the development of computer technology, both in a broad sense and specifically in certain fields related to computer information technology. Manuscripts accepted for publication are the results of field research, library research, observations and scientific works related to topics relevant to the Computer Technology situation. Journal Teknologi dan Sistem Informasi Bisnis or Journal of Technology and Business Information Systems is published 4 issues in a calendar year (January, Appril, July, October)
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Articles 62 Documents
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Analisis Konversi Limbah Plastik Menjadi Bahan Bakar Alternatif Ramah Lingkungan Pendekatan Pirolisis Skala Kecil Dutha Hajrul Akbar; Putri Purnama Sari
Jurnal Teknologi Dan Sistem Informasi Bisnis Vol. 8 No. 3 (2026): Juli 2026
Publisher :  Prodi Sistem Informasi Universitas Dharma Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47233/jteksis.v8i3.3

Abstract

Plastic waste is a growing environmental problem due to the high use of plastic in everyday life and its inherent difficulty in decomposing naturally. The accumulation of plastic waste can lead to soil, water, and environmental pollution, negatively impacting human health and ecosystems. Furthermore, the ever-increasing demand for energy is leading to increased dependence on fossil fuels. Therefore, solutions are needed that can reduce plastic waste while simultaneously generating useful alternative energy sources. This study aims to analyze the process of converting plastic waste into alternative fuel through a small-scale pyrolysis method and to determine the effect of temperature and heating time on the volume of fuel produced. This study uses a quantitative approach with an experimental method. PE and PP plastic waste is cleaned, shredded, and then processed using a pyrolysis reactor at a temperature of 300–500°C without oxygen. The gas produced from pyrolysis is condensed into liquid fuel. Data are collected through observation, temperature measurement, heating time, fuel volume, and the resulting residue. The analysis technique used is descriptive analysis by calculating the yield ratio and the efficiency of the conversion process. The research results show that increasing the temperature and heating time increases the volume of fuel produced. The best results were obtained at a temperature of 500°C for 120 minutes, producing 200 mL of liquid fuel from 500 grams of plastic waste with an efficiency of 40%. The produced fuel is yellow to dark yellow in color, has a pungent odor, and is easily flammable. These findings indicate that small-scale pyrolysis technology has the potential to be an alternative solution in plastic waste management while also producing more environmentally friendly energy.
Pengembangan Platform Ujian Online Berbasis Laravel Dengan Fitur Diskusi Antara Guru Dan Siswa (Studi Kasus : SMK Mutiara Baru) Seno Aji Widodo; Nixon Erzed
Jurnal Teknologi Dan Sistem Informasi Bisnis Vol. 8 No. 3 (2026): Juli 2026
Publisher :  Prodi Sistem Informasi Universitas Dharma Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47233/jteksis.v8i3.4

Abstract

The learning evaluation implementation at Mutiara Baru Vocational School previously used Google Forms, which facilitated the presentation of questions and automated assessments. However, it did not provide a two-way communication tool between students and teachers. This condition made it difficult for students to convey obstacles or questions that arose during the exam process, resulting in less than optimal effectiveness of the learning evaluation. This study aims to design and build a Laravel-based online exam platform equipped with a discussion feature as a communication medium between students and teachers during the exam. The research method used is the Waterfall system development method, which includes needs analysis, system design, implementation, testing, and evaluation. The analysis technique used was descriptive analysis of the system test results and user survey results. The system testing was conducted using the Black Box Testing method and a survey of 18 grade XI students of Mutiara Baru Vocational School. The results showed that the developed online exam platform was able to support the exam process effectively through question management features, automatic assessment, and a discussion forum. The Black Box Testing results showed that all system functions ran as needed, while the user survey results showed that the majority of respondents gave positive responses to the system's ease of use, interface display, and the benefits of the discussion feature. Thus, the developed system can improve the effectiveness of learning evaluation while providing a means of communication between students and teachers in the digital-based exam process.
Penerapan SMOTE pada Algoritma Naive Bayes untuk Klasifikasi Sentimen Ulasan Wuthering Waves Fabian Gavrilio Arya Winokan; Indah Susilawati
Jurnal Teknologi Dan Sistem Informasi Bisnis Vol. 8 No. 3 (2026): Juli 2026
Publisher :  Prodi Sistem Informasi Universitas Dharma Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47233/jteksis.v8i3.6

Abstract

User reviews of Wuthering Waves on the Google Play Store contain important business insights. The sentiment analysis isconstrained by class imbalance and the use of gacha community slang. This condition triggers majority bias in theclassification algorithm. This research aims to build an accurate sentiment classification system to detect user complaints.The approach used is Knowledge Discovery in Databases (KDD). Pre-processing is optimized using a Gacha LexiconDictionary and Bigram extraction (TF-IDF) to resolve jargon ambiguity. The Synthetic Minority Over-sampling Technique(SMOTE) is applied to synthesize minority class data or negative reviews. The balanced data is classified using theMultinomial Naive Bayes algorithm through GridSearchCV optimization. The test results prove that SMOTE implementationsuccessfully increased the sensitivity metric (Recall) of the negative class from 0.32 to 0.82. The combination of all theseoptimizations produces a model with a final Accuracy of 86%. The integration of lexicon and SMOTE is proven to overcomedata bias. This classification model has been implemented into an interactive analytic dashboard prototype.
Pengembangan Platform Toko Online Berbasis Laravel Untuk Penjualan Sepeda Dan Komunitas Digital Pengguna (Studi Kasus: Toko Hoki Jaya) Wiryawan Pranawadigda; Nixon Erzed
Jurnal Teknologi Dan Sistem Informasi Bisnis Vol. 8 No. 3 (2026): Juli 2026
Publisher :  Prodi Sistem Informasi Universitas Dharma Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47233/jteksis.v8i3.7

Abstract

The development of information technology is driving digital transformation in the trade sector, including bicycle shops. Hoki Jaya Shop still uses a manual sales system, resulting in suboptimal data management, market reach, and customer interaction. This research aims to develop a Laravel-based online store website that supports bicycle sales and provides a digital community feature to enhance user interaction. The system development method used is the waterfall method, with stages of requirements analysis, design, implementation, testing, and system maintenance. The analysis technique used the black-box testing method to verify system functionality based on user needs. The results show that the developed system is capable of running the product catalog, transaction management, user registration, and community forum features effectively. Black-box testing indicates that all system functions run according to user needs. The digital community feature allows users to engage in discussions and interactions, thereby supporting increased customer engagement. This system is expected to help improve sales effectiveness and expand Hoki Jaya Shop's market reach through an integrated digital platform.
Sistem Pendukung Keputusan Pemilihan Dompet Digital Terbaik Menggunakan Metode Weight Product (WP) Aisyah Azzahra; Yaslinda Lizar
Jurnal Teknologi Dan Sistem Informasi Bisnis Vol. 8 No. 3 (2026): Juli 2026
Publisher :  Prodi Sistem Informasi Universitas Dharma Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47233/jteksis.v8i3.12

Abstract

The rapid development of financial technology has significantly increased the use of digital wallets in daily transaction activities. Digital wallets such as DANA, OVO, GoPay, ShopeePay, and LinkAja offer various features and promotions that attract users. However, the large number of available digital wallet options often makes it difficult for users to determine the most suitable application for their needs. This subjective selection process—lacking clear criteria-based calculations—has created a need for a systematic and objective decision-making tool. This study aims to build a Decision Support System (DSS) for selecting the best digital wallet using the Weight Product (WP) method, based on questionnaire data collected from 23 active digital wallet users in Indonesia. The questionnaire employed a Likert scale of 1 to 5 to measure respondents' assessments of five criteria: ease of use, transaction security, promotions/cashback, admin fees, and feature completeness. The WP method processes decision-making through weight normalization, calculation of vector Si values, and preference values Vi for each alternative. Survey results show that transaction security (mean = 4.30) and ease of use (mean = 4.13) are considered the most important criteria by respondents. The findings reveal that DANA ranks first with the highest preference value of 0.2325, followed by GoPay (0.2126), ShopeePay (0.2053), OVO (0.1899), and LinkAja (0.1598). The WP method is effective in supporting objective and systematic digital wallet selection.
Exploring Students’ Experiences and Perspectives on the Role of Digital Technology in Improving Access to Education in the Modern Era Richo Agusty Ansah; Zidni Ma'ruf; M. Radit Dzikrullah; Baginda Sonata Simamora; M. Nugraha Apriansyah
Jurnal Teknologi Dan Sistem Informasi Bisnis Vol. 8 No. 3 (2026): Juli 2026
Publisher :  Prodi Sistem Informasi Universitas Dharma Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47233/jteksis.v8i3.13

Abstract

The exponential growth of educational technologies has transformed the entire framework of higher education, making it highly adaptive through digitalization of traditional frameworks. This paper investigates the lived experiences of undergraduate students on the impact of digital technologies in enhancing the reach of education. Adopting a qualitative approach in the form of a case study, semi-structured interviews were carried out involving an equal number of six university students (3 male, 3 female). Thematic analysis reveals that digital learning and new age pedagogies provide unparalleled spatiotemporal flexibility, promote self-learning, and empower learners to access information globally. However, it is evident that some inherent structural barriers such as digital literacy differences, technological inconsistency, and infrastructural inequality continue to keep students disengaged from digitalization. It can be said that although digital modes help overcome geographical boundaries in education, a balanced approach between institutionality and digitization is required for equitable education.
Analisis Sentimen Ulasan Produk E-Commerce Menggunakan Metode Support Vector Machine (SVM) Zukhrufana Firdausy Nuzula; Ferry Gunawan Wijaya Kusuma; Muhammad Arifin
Jurnal Teknologi Dan Sistem Informasi Bisnis Vol. 8 No. 3 (2026): Juli 2026
Publisher :  Prodi Sistem Informasi Universitas Dharma Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47233/jteksis.v8i3.14

Abstract

The rapid growth of e-commerce platforms in Indonesia, including Shopee, Tokopedia, and Lazada, has led to a significant increase in user reviews. These reviews contain valuable insights for developers to improve service quality; however, their large volume makes manual analysis impractical, necessitating an automated artificial intelligence-based approach. This study aims to develop a sentiment analysis system for user reviews from the three largest e-commerce platforms in Indonesia using the Support Vector Machine (SVM) method. A total of 1,000 reviews per application were collected from the Google Play Store using web scraping techniques. The preprocessing stage included text cleaning, URL and symbol removal, and space normalization. Sentiment labeling was performed based on user ratings: ratings of 4–5 as positive, 3 as neutral, and 1–2 as negative. Text features were extracted using the TF-IDF approach, and the model was trained using an SVM with a linear kernel. The results show that the model achieved an average accuracy of 87.4%, outperforming Naive Bayes and Random Forest methods. Sentiment distribution revealed a dominance of positive sentiment across all three platforms (average 70.4%), with Shopee recording the highest positive rate (72.8%) and Lazada showing the highest negative sentiment (18.4%). The TF-IDF-based SVM approach proves highly effective for sentiment analysis of Indonesian-language text in the e-commerce domain.
Analisis Layanan Aplikasi Perpustakaan Digital Daerah Menggunakan Framework COBIT 5 Domain DSS02 Faisal Anwar; Nina Sulistiyowati
Jurnal Teknologi Dan Sistem Informasi Bisnis Vol. 8 No. 3 (2026): Juli 2026
Publisher :  Prodi Sistem Informasi Universitas Dharma Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47233/jteksis.v8i3.16

Abstract

The development of information technology is driving digital transformation in various public service sectors, including regional library services. One form of implementation is the use of digital library applications that allow the public to access online book lending and reading services via smartphones. However, the implementation of digital library services still faces various operational obstacles that can affect the quality of service to users. This study aims to analyze service management and incident handling in the iBekasiKab digital library application using the COBIT 5 framework in the DSS02 (Manage Service Requests and Incidents) domain. The study used a descriptive method with an evaluative approach through analysis of user reviews and ratings on the Google Play Store platform for the period 2024–2026. A total of 19 relevant reviews were analyzed and classified based on the type of service problem experienced by users. The results showed that the most dominant problem was the failure of the book lending process, characterized by the appearance of a 404 error, amounting to 42.1% of the total findings. In addition, obstacles to digital book access, application bugs, and user access issues were found. Based on the analysis using the perceived capability level approach in the COBIT 5 framework, the DSS02 process is at Level 1 (Performed Process), which indicates that the service has been running but service management and incident handling have not been carried out optimally and consistently. The results of this study are expected to be used as evaluation material to improve the quality of information technology-based digital library application services.
Analisis Komparatif Performa Komputasi pada Deployment Algoritma MATLAB ke Raspberry Pi Rangga Trie Syaputra; Dewi Permata Sari; Ahmadil Barokah
Jurnal Teknologi Dan Sistem Informasi Bisnis Vol. 8 No. 3 (2026): Juli 2026
Publisher :  Prodi Sistem Informasi Universitas Dharma Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47233/jteksis.v8i3.19

Abstract

The process of deploying algorithms from a host computer to embedded systems such as Raspberry Pi imposes significant computational demands that are often overlooked in embedded system development workflows. Resource-intensive tasks including code generation, cross-compilation, and binary transfer can strain host system resources, yet their quantitative impact remains poorly characterized in the literature. Therefore, a systematic empirical evaluation is necessary to identify computational bottlenecks and guide hardware specification for MATLAB-based embedded development. This study aims to comparatively analyze the computational performance of a host computer before and after the MATLAB algorithm deployment process to a Wi-Fi-connected Raspberry Pi. The methodology employs a Pre-Test and Post-Test experimental design using the MATLAB Hardware Support Package for Raspberry Pi on an Intel Core i7-11800H system with 16 GB DDR4 RAM, running MATLAB R2023a on Windows 11, with CPU utilization, RAM usage, and processor temperature monitored via Task Manager and PowerShell WMI scripts. Experimental results show that RAM usage increased critically by 68% from 7.0 GB to 11.8 GB, while processor temperature rose 19°C from 49.05°C to 68.05°C due to compilation workload. CPU utilization, however, returned to 4% post-deployment, confirming its burst-type characteristic. These results demonstrate that RAM is the primary bottleneck, requiring a minimum of 16 GB with 32 GB recommended, alongside adequate thermal management to prevent throttling in iterative deployment cycle.
Evaluasi E-tiket Pelanggan Telkom Temanggung Menggunakan Model Pieces Guna Meningkatkan Efektivitas Pelayanan Fatma Latulmaolani; Anis Larassati; Nabila Dyah Eka Novitasari; Ahmad Soderi; Mochamad Dwiyanto Widyhartono
Jurnal Teknologi Dan Sistem Informasi Bisnis Vol. 8 No. 3 (2026): Juli 2026
Publisher :  Prodi Sistem Informasi Universitas Dharma Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47233/jteksis.v8i3.29

Abstract

A significant gap between the standards in SLA (Service Level Agreement) and the reality of service. Customer complaints indicate a delay in response time that does not meet the SLA targets. Customers tend to lose trust in the reliability of the service amid intense industry competition. Given the crucial role of the e-ticket system in maintaining satisfaction and loyalty, as well as indications of SLA fulfillment failures, a comprehensive evaluation of the system's performance becomes urgent. This research focuses on the analysis of the gap between SLA standards and implementation at Telkom Temanggung, as well as revealing the root causes that affect response speed and customer loyalty. This study adopts a quantitative approach with a descriptive evaluative method and the PIECES model to assess and analyze numerical data objectively related to the performance of the e-ticket system and customer satisfaction at Telkom Temanggung. The results of this study indicate that the Telkom Temanggung e-ticket system is considered effective with an average satisfaction effectiveness score of 3.78; however, the dissatisfaction analysis ranges from 18% to 28%. The Information and Economy aspects recorded the highest ineffectiveness percentage (28.8%), with main issues such as complaints that were not recorded/delivered and customer doubts regarding the economic aspects of the system. The Performance aspect (18.6% ineffective) is still constrained by the application transition, which causes longer response times. This indicates a gap between expectations and the reality of service that could potentially affect customer loyalty in the future.

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