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JSAI (Journal Scientific and Applied Informatics)
Published by Universitas Muhammadiyah Bengkulu
ISSN : 26143062     EISSN : 26143054     DOI : -
Core Subject : Science,
Computer Science & IT
Jurnal terbitan dibawah fakultas teknik universitas muhammadiyah bengkulu. Pada jurnal ini akan membahas tema tentag Mobile, Animasi, Computer Vision, dan Networking yang merupakan jurnal berbasis science pada informatika, beserta penelitian yang berkaitan dengan implementasi metode dan atau algoritma.
Arjuna Subject : -
Articles 494 Documents
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Analisis Pengaruh Penggunaan QRIS Konvensional dan QRIS ESB terhadap Efisiensi Pembayaran Digital pada Rumah Makan BJ di Era Digitalisasi Probonegoro, Wishnu Aribowo; Sari, Lili Indah; Ardiana
JSAI (Journal Scientific and Applied Informatics) Vol 9 No 1 (2026): Januari
Publisher : Fakultas Teknik Universitas Muhammadiyah Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36085/jsai.v9i1.9718

Abstract

The development of digitalization has encouraged the adoption of cashless payment systems through the Quick Response Code Indonesian Standard (QRIS) in the culinary sector, including Rumah Makan BJ. This study aims to analyze the effect of Conventional QRIS and ESB QRIS on digital payment efficiency. This research employs a quantitative approach with a sample of 122 respondents. Data were collected through questionnaires and analyzed using SPSS version 17. The partial test results indicate that Conventional QRIS has a positive and significant effect on digital payment efficiency, with a t-value of 2.802 and a significance level of 0.006 (<0.05). ESB QRIS shows a stronger influence, with a t-value of 6.029 and a significance level of 0.000 (<0.05). Simultaneously, the ANOVA test shows an F-value of 57.155 with a significance of 0.000, indicating that both variables jointly have a significant effect on digital payment efficiency. The coefficient of determination (R²) of 0.405 indicates that 40.5% of the variation in digital payment efficiency is explained by QRIS usage. These findings are consistent with previous studies on integrated digital payment systems.
Evaluasi Pengembangan Sistem Informasi Penerimaan Mahasiswa Baru Berbasis Workflow Otomatis Menggunakan Pendekatan Research and Development Al Imran, Abdul Ma'arief; Ichsan M, Muhammad; Salim, Muh; Rahayu Ahmad, Sulistiawati; Zainal Abidin, Ali Asgar
JSAI (Journal Scientific and Applied Informatics) Vol 9 No 1 (2026): Januari
Publisher : Fakultas Teknik Universitas Muhammadiyah Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36085/jsai.v9i1.9730

Abstract

The New Student Admissions (PMB) process is a strategic endeavor that influences the quality of university entrants. Nonetheless, in several colleges, particularly in remote regions, the execution of PMB remains manual, which may lead to issues regarding efficiency, accuracy, and openness in data management. This study seeks to create and assess an automated workflow-oriented PMB information system to enhance PMB management at the Muhammadiyah Selayar Institute of Technology, Science, and Business. The system development employs the Waterfall methodology, encompassing the phases of requirements analysis, design, implementation, and system testing. Evaluation is conducted by assessing the validity, practicality, and efficacy of the system with the participation of internal users as evaluators. The evaluation results demonstrated a validity rate of 100%, practicality of 95.83%, and effectiveness of 89.56%, demonstrating the system's feasibility for supporting the PMB process. This system can systematically combine the registration process, document verification, selection, and results announcement. This research contributes an automated workflow implementation model within the PMB information system, enhancing process management efficiency and facilitating the oversight of PMB activities. While the test remains confined to the institution's internal setting, the findings of this study are anticipated to serve as a benchmark for the establishment of a comparable PMB system in universities with analogous attributes.
Evaluasi Sistem Informasi Distribusi Es Kristal Berbasis Web Menggunakan System Usability Scale (SUS) dan User Acceptance Testing (UAT) Rena Judha Wijayanti; Sri Dianing Asri
JSAI (Journal Scientific and Applied Informatics) Vol 9 No 1 (2026): Januari
Publisher : Fakultas Teknik Universitas Muhammadiyah Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36085/jsai.v9i1.9748

Abstract

This study aims to evaluate the usability and user acceptance of a web-based crystal ice distribution information system developed to support the operations of PT Eshokita Tubindo Mandiri. The system was developed using the Waterfall method with stages of requirements analysis, design, implementation, and testing. The system evaluation was conducted using the System Usability Scale (SUS) and User Acceptance Testing (UAT) on 13 respondents who were directly involved in the distribution process. The test results showed a SUS score of 82.11, which is classified as very good, and all system functions were accepted by users based on the UAT results. However, the scope of testing was still limited to one company and a relatively small number of respondents. This study contributes to the evaluation of cold chain distribution information systems based on usability and user acceptance.
Model Implementasi Firewall MikroTik dalam Pengelolaan Trafik dan Keamanan Jaringan Dachi, Abraham Cornelius; Noprisson, Handrie
JSAI (Journal Scientific and Applied Informatics) Vol 8 No 3 (2025): November
Publisher : Fakultas Teknik Universitas Muhammadiyah Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36085/jsai.v8i3.9777

Abstract

This study aims to analyze the role of firewall implementation on MikroTik RouterOS in improving network security and traffic management at CV. Prima Dinamika Mandiri. The company’s network infrastructure consists of an internet service provider router (ISP router), a MikroTik router functioning as the main firewall and gateway, network switches for LAN distribution, multiple access points across work areas, client devices such as laptops, PCs, and servers, as well as shared printers in each office room. The firewall was implemented through several configurations, including filtering rules, brute-force protection, Layer 7 filtering, Network Address Translation (NAT), and Quality of Service (QoS), with the objective of minimizing security threats and optimizing network traffic distribution. The evaluation results demonstrate a significant improvement in network performance, as indicated by the increase in throughput from 90 Mbps to 105 Mbps, the reduction of latency from 20 ms to 15 ms, and the decrease in packet loss from 3% to 0.5%. These findings confirm that the implementation of a MikroTik-based firewall enhances network security, stability, and reliability in supporting the company’s operational activities. Further development opportunities include the integration of Intrusion Detection and Prevention Systems (IDS/IPS) and VLAN segmentation.
Efek Hyperparameter Tuning pada VGG16 Untuk Klasifikasi Citra Batik Basurek Bengkulu Ayumi, Vina
JSAI (Journal Scientific and Applied Informatics) Vol 8 No 3 (2025): November
Publisher : Fakultas Teknik Universitas Muhammadiyah Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36085/jsai.v8i3.9778

Abstract

This study aimed to analyze the effect of combining hyperparameters, namely optimizer and batch size, on the performance of the VGG16 model in classifying Batik Basurek images. The dataset consisted of 250 images divided into five motif classes, with 50 images in each class. The data were split into training, validation, and testing sets with proportions of 70%, 15%, and 15%, respectively. The study employed a transfer learning approach using the VGG16 model, with hyperparameter variations including the RMSProp, Adam, and SGD optimizers, as well as batch sizes of 16, 32, and 64. The results showed that the Adam optimizer consistently delivered the best accuracy performance across all testing scenarios. The optimal performance was achieved using the combination of Adam and a batch size of 32, yielding a training accuracy of 97.55%, validation accuracy of 93.25%, and testing accuracy of 92.80%. Meanwhile, RMSProp demonstrated reasonably good performance but remained below Adam, and SGD produced the lowest accuracy across all evaluation stages. In terms of batch size, a batch size of 32 provided the most stable and accurate performance, whereas a batch size of 64 tended to reduce the model’s generalization capability. Therefore, the combination of Adam and a batch size of 32 was identified as the most optimal hyperparameter configuration for Batik Basurek image classification using the VGG16 model.
Klasifikasi Citra Aksara Tradisional Kaganga Bengkulu Menggunakan Optimasi Arsitektur ResNet50 Ayumi, Vina
JSAI (Journal Scientific and Applied Informatics) Vol 8 No 3 (2025): November
Publisher : Fakultas Teknik Universitas Muhammadiyah Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36085/jsai.v8i3.9780

Abstract

This study aimed to analyze the performance of the ResNet50 model based on transfer learning in classifying 19 classes of Kaganga script, while also evaluating the effect of applying L1, L2, and dropout regularization techniques on the model’s generalization ability in minimizing overfitting. In addition, the study examined the impact of varying batch sizes (16, 32, and 64) on training stability and overall model performance. The experiments were conducted by freezing the initial layers of ResNet50 as a feature extractor and modifying the final layers for the classification task. Model performance was evaluated using accuracy, precision, recall, F1-score, and confusion matrix metrics on the test dataset. The results showed that all model configurations achieved high training and validation accuracy. However, the combination of L2 regularization with a batch size of 32 yielded the best performance with a testing accuracy of 86.10%, indicating the most optimal generalization capability compared to other configurations. Meanwhile, the use of batch size 64 resulted in a more noticeable decrease in accuracy, making it less effective for this dataset. These findings indicated that the appropriate selection of regularization techniques and batch size played an important role in improving training stability and classification accuracy for traditional script image recognition.
Penerapan Algoritma Naive Bayes dengan Pembobotan TF-IDF dan Pendekatan Lexicon Untuk Analisis Sentimen Opini Mahasiswa Terhadap Fasilitas Kampus Honainah
JSAI (Journal Scientific and Applied Informatics) Vol 9 No 1 (2026): Januari
Publisher : Fakultas Teknik Universitas Muhammadiyah Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36085/jsai.v9i1.9836

Abstract

This study aims to analyze student sentiment towards campus facilities at Nurul Jadid University using the NaiveBayes method. Data was collected through questionnaires and processed using Visual Studio Code software. The process stages included manual sentiment classification, data preprocessing, lexicon classification, TF-IDF weighting, and classification using the Naive Bayes method. The results of each step are presented in tables and graphs. The system was also implemented by creating a web application that allows users to enter new text/opinions and obtain sentiment classification results. The results of testing manual sentiment classification and lexicon with the Naive Bayes algorithm showed different levels of accuracy, with manual sentiment classification having an accuracy value of 75% and lexicon sentiment classification having an accuracy value of 85%. In conclusion, the lexicon approach with the Naive Bayes algorithm is superior to the manual approach because it is more objective, consistent, efficient, and easy to develop and is suitable for analyzing student opinions on campus facilities, thus providing material for consideration in campus policy.
Implementasi Rapid Application Development dan Evaluasi User Experience Questionnaire pada Sistem Informasi Pendaftaran PKL Berbasis Website di UMNU Kebumen Ardiansah, Rifki; Muflih, Ghufron Zaida
JSAI (Journal Scientific and Applied Informatics) Vol 9 No 1 (2026): Januari
Publisher : Fakultas Teknik Universitas Muhammadiyah Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36085/jsai.v9i1.9844

Abstract

Field Work Practice (PKL) as a mandatory curriculum component at Ma'arif Nahdlatul Ulama University (UMNU) Kebumen still faces administrative challenges such as data duplication, non-real-time quota validation, and non-integrated payment verification. Unlike similar systems that focus only on basic registration, this study develops a web-based PKL registration information system by integrating real-time quota validation features and a payment verification mechanism by the treasurer. The system was developed using the Rapid Application Development (RAD) method to accelerate the development process. The system was built with the Laravel framework and MySQL. Functional testing results show that all features run with 100% accuracy. Evaluation using the User Experience Questionnaire (UEQ) on 42 respondents yielded positive scores on six aspects: attractiveness (1.623), clarity (1.524), efficiency (1.655), accuracy (1.589), stimulation (1.601), and novelty (1.244). The system has been proven to optimize the PKL administrative process and can serve as a model for developing integrated systems in higher education institutions.
Pemodelan dan Simulasi Path Planning Robot Mobil Menggunakan Metode Ant System Pada Lingkungan Terstruktur Saktriawindarta, Rama; Suhendri, Suhendri; Evitarina, Nurita
JSAI (Journal Scientific and Applied Informatics) Vol 9 No 1 (2026): Januari
Publisher : Fakultas Teknik Universitas Muhammadiyah Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36085/jsai.v9i1.9862

Abstract

Path planning is a fundamental problem in mobile robot navigation that requires efficient route optimization while avoiding obstacles. This study implements the Ant System method to solve the mobile robot path planning problem using a modeling and simulation approach in a structured environment. The path planning process utilizes pheromone mechanisms and heuristic information to determine an optimal path from the initial state to the goal state. A total of ten simulation experiments were conducted with variations in the number of intermediate coordinates, iterations, and ants. The results show that the proposed method successfully generated collision-free paths in all experiments, with path lengths ranging from 31.4915 to 32.6788 units. The analysis indicates that the balance between the number of intermediate coordinates, iterations, and ants significantly affects path quality, where well-balanced parameters produce smoother and more stable trajectories. Overall, the Ant System method achieved a 100% success rate, demonstrating its effectiveness and reliability for mobile robot path planning in structured environments.
Pemodelan Pohon Keputusan Menggunakan Algoritma ID3 dalam Pendekatan Data Mining Hendri, Suhendri; Saktriawindarta, Rama; Evitarina, Nurita
JSAI (Journal Scientific and Applied Informatics) Vol 9 No 1 (2026): Januari
Publisher : Fakultas Teknik Universitas Muhammadiyah Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36085/jsai.v9i1.9865

Abstract

The rapid development of information technology has encouraged the use of data mining as a foundation for data-driven decision-making across various sectors, including the karaoke entertainment industry. This study aims to evaluate the performance of the ID3 algorithm in supporting decision support systems through the construction of a decision tree–based classification model. The research method employs the Knowledge Discovery in Databases (KDD) approach, which involves data selection, data transformation, modeling using the ID3 algorithm, and evaluation of decision outcomes. The performance of the method was evaluated based on five key aspects: decision-making capability, classification processing speed, classification result stability, model interpretability, and suitability to user needs. The results indicate that the ID3 algorithm achieved an average success rate of 92%, with the highest performance observed in processing speed and classification stability. These findings demonstrate that the ID3 algorithm is effective, efficient, and highly interpretable, making it suitable for implementation as a classification method in data mining–based decision support systems.

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