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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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Sistem Informasi Inventory Barang Berbasis Web Menggunakan Metode Agile Scrum Studi Kasus di Café Ragam Ide Muhammad Mulyadi; Alam .
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.v8i3.56

Abstract

Inventory management is one of the important aspects in supporting the smooth operation of a business. However, Café Ragam Ide still manages its inventory manually, which often causes various problems, such as data recording errors, delays in updating stock information, and difficulties in monitoring inventory in real time. These conditions may lead to discrepancies between recorded stock data and actual inventory levels, potentially disrupting business operations. This study aims to design and develop a web-based inventory information system to improve the effectiveness and efficiency of inventory management at Café Ragam Ide. The research employed the Agile Scrum methodology due to its flexible and iterative approach, enabling the system to adapt to user requirements throughout the development process. The research stages included problem identification, data collection through observation, interviews, and literature studies, system design, system implementation, and system testing. The system was developed using the Laravel framework and MySQL database. Black Box Testing was utilized as the testing technique to ensure that all system functions operated according to user requirements. The results indicate that the web-based inventory information system was successfully designed and implemented. The system is capable of supporting inventory data management, goods receipt and issuance transactions, stock monitoring, and inventory reporting in a more effective and integrated manner. Furthermore, the Black Box Testing results demonstrate that all system features function properly and meet the operational requirements of users.
Analisis Keamanan Manajemen Resiko Website E Library Universitas Indo Global Mandiri Menggunakan Metode Iso 31000 Sefta Pratama Amanda; Moh. Farrel Abrar Ramandha; Muhamad Ridho Al Bukhori; Adji Prasetya Gumay
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.v8i3.64

Abstract

The Library of Universitas Indo Global Mandiri (IGM) is a supporting unit for academic activities that continues to develop as a technology-based information center. Along with the increasing use of the e-Library website, various security risks have emerged, such as data breaches, cyberattacks, and unauthorized access, which may affect system reliability and user trust. This study aims to analyze security risks on the Universitas IGM e-Library website based on data protection and system aspects in order to determine risk levels and prioritize mitigation strategies.The method used in this research is a risk management approach based on ISO 31000, which includes risk identification, risk analysis, and risk evaluation. Data collection techniques consist of literature study, interviews, and questionnaires involving users and system administrators.The results show that there are 9 potential risks originating from human factors, system issues, and infrastructure. High-priority risks include system exploitation, cybercrime, and data corruption, while other risks fall into medium and low categories. The average user perception score of 3.58 indicates that the system security is considered fairly good but not yet optimal in ensuring user confidence. Overall, this study provides strategic recommendations to improve system security and data protection in order to enhance user trust and ensure the sustainability of e-Library services.
Analisis Kepuasan Kualitas Sistem Absensi Fingerprint Menggunakan Model DeLone dan McLean Celine Rapi Pratiwi; Muhamad Khalafi Al Gifari Helwani; Imron .; Fiza Asri Fauziah Habibah
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.v8i3.65

Abstract

Although a fingerprint attendance system has been implemented to improve the accuracy and transparency of student attendance records, several challenges remain, such as errors in fingerprint reading, delays in the attendance monitoring process, power outages, and students failing to record their attendance, which result in less accurate attendance data and prevent the system from operating optimally.  The purpose of this study is to determine the influence of system quality and information quality on user satisfaction with the fingerprint attendance system among students at SMA Plus Islamic Village. This study uses a quantitative method based on the DeLone and McLean model. Data collection was conducted through observation, interviews, literature review, and questionnaire distribution, while data analysis was performed using multiple linear regression with the aid of IBM SPSS Statistics 26.0 software. The results indicate that system quality and information quality have a positive and significant influence on user satisfaction with the fingerprint attendance system. Collectively, these two variables account for 69.8% of user satisfaction, while the remainder is influenced by other factors outside the scope of this study. Thus, it has been
Mengevaluasi Kepuasan Masyarakat Terhadap Layanan Administrasi Dengan Sistem Penunjang Keputusan Metode Waspas Gushelmi .; Triana Novita; M.Hafizh .; Dodi Guswandi; Diana Kemala Odang
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.v8i3.67

Abstract

Evaluating public satisfaction with administrative services is an essential effort to improve the quality of public services. However, manual evaluation processes often produce less objective results, require considerable time, and make it difficult for institutions to identify service aspects that require improvement. Therefore, an effective decision support system is needed to facilitate systematic, objective, and efficient evaluation.This study aims to develop a Decision Support System (DSS) for determining the level of public satisfaction with administrative services using the Weighted Aggregated Sum Product Assessment (WASPAS) method, thereby providing accurate evaluation results to support improvements in public service quality. This study employs the WASPAS method, which integrates the Weighted Sum Model (WSM) and the Weighted Product Model (WPM) to improve the accuracy and objectivity of decision-making. The evaluation is based on five criteria: service speed, service accuracy, information quality, staff attitude, and supporting facilities. The analysis consists of data collection, decision matrix normalization, criteria weighting, preference value (Quality Index/Qi) calculation using the WASPAS method, and alternative ranking. The results indicate that Fero R (A2) achieved the highest Quality Index (Qi) score of 0.9686, followed by Susi Mardhiah (A3) with 0.9479 and Rizki Hadid (A1) with 0.8675. These findings demonstrate that the WASPAS method is capable of providing a systematic, objective, and efficient evaluation of public satisfaction, thereby supporting decision-makers in improving the quality of administrative services.
Rancang Bangun Aplikasi E-Commerce Bakso Koko Berbasis Android dengan Integrasi Payment Gateway Menggunakan Metode Waterfall Chamilla Permata Rizky; Zarira Reri najiha; Ana Yuliana; Muhammad Rifai; Rifal Arsyat; Angga Pratama
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.v8i3.71

Abstract

The development of information technology in the digital era provides a great opportunity for business actors to improve service quality, operational efficiency, and expand marketing reach through the use of e-commerce platforms. However, Bakso Koko as a culinary business still uses a conventional ordering and payment system, which often causes various obstacles such as slow service processes, a high risk of transaction recording errors, difficulties in managing order data, and limitations in reaching a wider customer base. These problems indicate the need for a more effective, integrated, and easily accessible system for customers. This study aims to design and build an Android-based Bakso Koko e-commerce application integrated with a payment gateway so that the ordering and payment process can be carried out online more easily, quickly, safely, and efficiently. The system development method used in this study is the Waterfall method which includes the stages of requirements analysis, system design, implementation, testing, and maintenance. The analysis technique used is system requirements analysis through observation and interviews to understand the ongoing business process, then modeled using the Unified Modeling Language (UML) in the form of use case diagrams and activity diagrams. The research results show that the application was successfully designed and built with user registration, a product catalog, a shopping cart, ordering, online payment, order status tracking, and integrated product and transaction data management. This system is expected to improve service efficiency, transaction efficiency, and expand the business's marketing reach.
Analisis dan Perbaikan Proses Bisnis Berdasarkan Metode BPI pada Perusahaan ‘Chatbot AI’ Azizah Fitria Wibisono; Raulia Riski; M Wildan Leroidin El Hadiq; Muhammad Rusydan Arifi Sulaiman; Gita Naisya Wardani; Dimas Dwi Suryoaji
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.v8i3.74

Abstract

Chatbot AI is a local artificial intelligence technology company focusing on intelligent chatbot solutions based on internal documents. This research aims to model and analyze the company's "as-is" business processes to identify operational inefficiencies. The research method employed was semi-structured in-depth interviews with the Chief Marketing Officer to collect qualitative and quantitative data regarding duration, quality, cost, and process flexibility. Research results through the Process Portfolio matrix indicate that the Marketing & Sales process has the longest duration (26 working days), while Inbound Logistics and Service processes were identified as top improvement priorities. Inbound Logistics was selected as a "quick win" priority due to its high feasibility (70%), while the Service process was designated as a critical strategic priority to maintain client retention in the subscription business model. BPMN modeling was conducted on four core processes to facilitate digital transformation and the development of the company's formal Standard Operating Procedures (SOPs).
SPK Tempat Healing Mahasiswa di Sumatera Barat dengan Metode SMART Pisa Kesuma Dewi; 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.v8i3.78

Abstract

Students often experience academic pressure that causes stress, boredom, and mental fatigue, which can affect learning concentration and productivity. The large number of tourist destinations in West Sumatra makes it difficult for students to determine healing locations that suit their preferences. This study aims to develop a decision support system for recommending healing destinations for students in West Sumatra using the SMART (Simple Multi Attribute Rating Technique) method. The research used a quantitative approach with data collected through questionnaires distributed to 26 student respondents. The analysis technique was carried out by determining criteria weights, normalizing weights, calculating utility values, and ranking alternatives based on final scores. The criteria used were scenery, facilities, road access, travel distance, and ticket price. The results showed that Jam Gadang obtained the highest score of 0.78, followed by Alahan Panjang with 0.70, making Jam Gadang the most recommended healing destination. This study proves that SMART can provide objective recommendations based on weighted criteria.
Klasifikasi Berita Hoaks Berbahasa Indonesia Menggunakan Metode Naive Bayes Berbasis TF-IDF Dhimas Pangestu; 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.v8i3.84

Abstract

The spread of hoax news in Indonesia has become increasingly massive in the digital era, with the Ministry ofCommunication and Digital Technology (Komdigi) recording 1,923 hoax content pieces in 2024. Manual verification isineffective in addressing the continuously growing volume of information, while existing automatic detection systems still have limitations in accuracy and real-world implementation. This research aims to build an Indonesian hoax news classification model using the Multinomial Naive Bayes method based on TF-IDF, analyze the impact of TF-IDF on text feature representation, and measure model performance based on accuracy, precision, recall, and F1-score metrics. Data was collected through web scraping from seven online news portals, producing 59,795 news headlines with balanced distribution between the hoax class (47.53%) and non-hoax class (52.47%). Text preprocessing stages include case folding, stopword removal, and stemming using the Enhanced Confix Stripping (ECS) algorithm from the PySastrawi library. Features were extracted using TF-IDF with ngram_range=(1,2) and sublinear_tf=True configuration, producing 5,000 representative features. The dataset was split in an 80:20 ratio and optimized using GridSearchCV with 5-fold crossvalidation. The baseline model evaluation achieved accuracy of 94.00%, precision of 93.53%, recall of 93.86%, and F1-score of 93.69%, with balanced performance across both classes. After hyperparameter optimization (alpha=5.0), the crossvalidation score increased to 94.18% with hoax class precision reaching 95%. Testing on new data yielded 85.7% accuracy, demonstrating the system's effectiveness as an automated hoax detection tool for the Indonesian language
Perancangan Sistem Informasi Penjadwalan Konsultasi Hukum Berbasis Web (Studi Kasus: Yayasan ATMA Jl. Mr. Sartono No.75 21, Nusukan, Kec. Banjarsari, Kota Surakarta, Jawa Tengah 57135): Studi Kasus Pada LBH Yayasan ATMA Aditia Kurra; Santi Winarsih
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.v8i3.86

Abstract

The Legal Aid Institute (LBH) of the ATMA Foundation still manages legal consultation scheduling manually, resulting in scheduling conflicts, recording errors, delays in information delivery, and difficulties in managing consultation data. These conditions reduce the effectiveness and efficiency of legal consultation services, indicating the need for an integrated information system to support the scheduling process. This study aims to design and develop a Web-Based Legal Consultation Scheduling Management Information System to assist administrators, lawyers, and clients in managing consultation schedules more effectively, efficiently, and conveniently through internet-based access. The system was developed using the Waterfall software development method, which consists of the stages of requirements analysis, system design, implementation, testing, and maintenance. Data were collected through observation, interviews, and literature studies to identify system requirements. The analysis technique involved requirements analysis based on the results of observations and interviews, while system testing was conducted using Black Box Testing to evaluate the functionality of the system and User Acceptance Testing (UAT) to measure user acceptance. The results indicate that the developed system successfully meets user requirements, simplifies the legal consultation scheduling process, minimizes scheduling conflicts, and improves the efficiency of data management. Black Box Testing confirmed that all system features functioned properly, while the UAT results showed a user acceptance rate of 85.62% with an average score of 4.34 out of 5 (equivalent to 86.82%), indicating that the system is feasible and suitable for implementation.
Optimized Stacking Machine Learning Model for Parkinson’s Disease Detection Using Hyperparameter Tuning Abi Nizar Sutranggono; Khariza Azmi Alfajira Hisyam
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.v8i3.88

Abstract

Parkinson's disease is a neurodegenerative disorder that affects the nervous system, physiological functions, and brain behavior. Diagnosing this disease remains challenging due to the variability of early symptoms that are difficult to identify. Machine learning has emerged as an effective tool for early detection of Parkinson's disease. Previous studies have implemented various machine learning approaches using different data types; however, research utilizing speech features for early detection remains limited. Furthermore, prior work has predominantly relied on single machine learning models, and no study has yet applied ensemble learning through a stacking technique specifically for detecting Parkinson's disease using speech features. To address this gap, this study proposes a stacking ensemble model that combines three base classifiers, namely K-Nearest Neighbors, Random Forest, and Support Vector Machine, with Logistic Regression serving as the meta-classifier. The proposed model is optimized through hyperparameter tuning employing four strategies, namely Grid Search, Random Search, Bayesian Optimization, and Genetic Algorithm, which are applied to adjust the hyperparameters of the constructed model. Experimental results demonstrate that the optimized stacking model using the best hyperparameters obtained through hyperparameter tuning achieves a superior accuracy of 0.8716 compared with those of three individual classifiers and the stacking model with default hyperparameters. These findings confirm the effectiveness of hyperparameter tuning in improving the proposed stacking ensemble model for detecting Parkinson's disease through speech features.

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