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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 471 Documents
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Perancangan Aplikasi Website Pembelajaran Daring untuk Peningkatan Kompetensi Karyawan Nusa Computer Menggunakan Python Flask dan MongoDB Desmon, Johanes; Ayumi, Vina
JSAI (Journal Scientific and Applied Informatics) Vol 7 No 3 (2024): November
Publisher : Fakultas Teknik Universitas Muhammadiyah Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36085/jsai.v7i3.7593

Abstract

This study aims to develop and implement a web-based e-learning application specifically designed to meet the internal training needs of Nusa Computer. The application was designed using the waterfall methodology, which consists of requirement analysis, system design, implementation, integration, and testing stages. The requirements analysis process was conducted through surveys using Google Forms distributed to Nusa Computer employees to identify training needs and challenges. The application's backend was built using Python Flask, while the frontend was designed with HTML5, CSS3, and JavaScript. MongoDB was used as the database to store user information and learning materials in a structured document format. The interface prototype was designed using Figma, while UML diagrams, such as use case diagrams and class diagrams, were created using draw.io to map user interaction flows and data structures. Based on the analysis results, the developed application includes key features such as learning material management, discussion forums, a vocabulary dictionary, and a dedicated page for discussions with mentors.
Penerapan Metode Rule Base System Untuk Menentukan Jenis Penyakit Berdasarkan Gejala Pada Ternak Babi Berbasis Website Antonius Lake; Yoseph P. K. Kelen
JSAI (Journal Scientific and Applied Informatics) Vol 8 No 1 (2025): Januari
Publisher : Fakultas Teknik Universitas Muhammadiyah Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36085/jsai.v8i1.7594

Abstract

The rule base system method was used in this research because disease diagnosis in pigs requires a structured approach, where symptoms can be linked to specific rules to produce accurate decisions. The development of this system is in the form of a website that can easily access information and diagnosis anytime and anywhere. This system can help early detection of disease in pigs, reduce the risk of spread, and increase the effectiveness of pig health management in the North Central Timor district. The method used in developing this expert system is a waterfall or what is often called a waterfall which is a classic life cycle. The sequence of developing this method starts from analysis, design, coding, testing, and maintenance stages. A website-based expert system is an application designed to help users diagnose problems or provide recommendations based on the knowledge of an expert that has been modeled in a knowledge base. These systems work by collecting data from users, such as specific symptoms or problems, through a web-based interface, then using an inference engine to analyze that data and generate solutions or suggestions. Based on the results of the User Acceptance Test (UAT) with 5 test categories (menu on the website) and 12 test parameters, overall test results were obtained with an average value of 91%.
Analisis Pemahaman Literasi Digital Siswa Terhadap UU ITE Dan Norma Agama Pada MAN Kepulauan Selayar Al Imran, Abdul Ma'arief; Maro, Muhammad Ihsan; Ardiansyah, Mursyid; Salim, M; Ahmad, Sulistiawati Rahayu
JSAI (Journal Scientific and Applied Informatics) Vol 8 No 1 (2025): Januari
Publisher : Fakultas Teknik Universitas Muhammadiyah Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36085/jsai.v8i1.7595

Abstract

The research focused on MAN Kepulauan Selayar students' level of understanding of the Electronic Information and Transaction Law (UU ITE) and how religious norms influence their attitudes to using digital technology. Selayar Islands, with its distinctive social, cultural, and spiritual characteristics, provides a relevant context for exploring digital literacy in an area with unique educational challenges. Using descriptive methods, a multiple choice test was used to measure students' understanding of the ITE Law. In contrast, a Likert scale questionnaire was used to assess the influence of religious norms on their attitudes. The data obtained were analyzed quantitatively to provide a comprehensive picture of students' digital literacy. The results showed that the average score of students' understanding of the ITE Law was 74, which was classified as a High category. Ranking analysis revealed that class XII students had the highest score of 80.77 (High category), followed by class XI with a score of 74.83 (High category), and class X with a score of 66.4 (Medium category). In addition, the average percentage of students' answers in the questionnaire shows a value of 79.42%, which is classified as Influential in reflecting the influence of religious norms on students' attitudes toward using digital technology. This finding shows that although students' level of understanding of the ITE Law is relatively good, there are differences in the level of understanding between grades. In addition, religious norms have a significant influence on students' attitudes toward the responsible use of digital technology.
Pendekatan Data-Driven untuk Pengembangan Model Prediksi Tingkat Kemiskinan di Provinsi Indonesia Evi Purnamasari; Dwi Asa Verano
JSAI (Journal Scientific and Applied Informatics) Vol 8 No 1 (2025): Januari
Publisher : Fakultas Teknik Universitas Muhammadiyah Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36085/jsai.v8i1.7596

Abstract

Poverty in Indonesia remains a major issue that requires serious attention, particularly at the provincial level. Various factors, such as access to education, healthcare, and employment opportunities, affect the poverty rate. This study aims to develop a poverty prediction model using a data-driven approach through cluster analysis and classification. The methods used in clustering are K-Means, Hierarchical Clustering, and DBSCAN, while for classification, the algorithms applied are Random Forest, Naive Bayes, and Support Vector Machine (SVM). The clustering analysis results show that K-Means provides clearer cluster divisions with the highest Calinski-Harabasz Index value (179.45). In classification model testing, Naive Bayes provides the best results with an accuracy of 99.42%, which is higher than the other models. To address overfitting, cross-validation testing was conducted, yielding a Mean Accuracy of 99.32% and a Standard Deviatin of 0.23%. This study successfully identifies the factors influencing poverty levels in Indonesia’s provinces, which can be used as a basis for government policies in poverty alleviation efforts. The results achieved contribute significantly to the development of a more accurate and effective predictive model for addressing poverty issues in Indonesia.
Analisis Tren Penjualan dan Prediksi Produk CV. Sentosa Menggunakan Regresi Linier Dona Marcelina; Indah Pratiwi Putri; Evi Yulianti; Agustina Heryati
JSAI (Journal Scientific and Applied Informatics) Vol 8 No 1 (2025): Januari
Publisher : Fakultas Teknik Universitas Muhammadiyah Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36085/jsai.v8i1.7649

Abstract

This study analyzed sales trends and forecasted the sales of CV Sentosa's products, namely Ater 360 New (X1), Bon Bon (X2), Mini Peanut Crackers (X3), and Marie Susu Int (X4), during the period of January 2019 to August 2023. Monthly sales data were processed using exploratory data analysis (EDA) and linear regression to predict sales trends. The linear regression analysis results indicated that X2 and X3 experienced sales growth with a slope of m=0.01, representing an average increase of 0.01 units per month. Conversely, X4 showed a slight decline with m=−0.01, while X1 remained stable with m=−0.00, indicating minimal changes in sales volume. The accuracy evaluation of the predictions based on MAE, MSE, and RMSE showed that X2 had the best performance with MAE 0.14, MSE 0.03, and RMSE 0.19, followed by X1 and X3, which had similar prediction errors. Although X4 initially showed significant growth, its model exhibited higher prediction errors (MAE 0.17, MSE 0.04, RMSE 0.21). This study provides valuable insights for CV Sentosa's business strategies, highlighting X2 and X3 as promising products due to their consistent growth trends and accurate predictions. This research provides a strong foundation for CV Sentosa in formulating more effective marketing strategies and product development in the future
Analisis Audit Sistem Informasi Menggunakan Framework Committee Of Sponsoring Organizations Of The Treadway Commission (COSO) Pada PT. Persero Batam Ardiansyah, Reza; sutabri, tata; Fitri Aulia, Annisa
JSAI (Journal Scientific and Applied Informatics) Vol 8 No 1 (2025): Januari
Publisher : Fakultas Teknik Universitas Muhammadiyah Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36085/jsai.v8i1.7677

Abstract

An information system (IT) audit is one of the important aspects of maintaining the effectiveness and efficiency of company operations. In this study, an information system audit at PT PERSERO was conducted to determine the extent of the company's capability level and provide recommendations to improve the performance of information systems to achieve the company's business objectives. The control standard used in this study is the Committee of Sponsoring Organizations of the Treadway Commission (COSO) which consists of the components of Control Environment, Risk Assessment, Control Activities, Information and Communication, and Monitoring. The purpose of this study is to evaluate whether the system is equipped with controls that are carried out properly and correctly. From the results of the research, data was obtained through interviews, observations, and document studies, which were analyzed using quantitative descriptive methods. The results showed that the average value of each component ranged from 4.46 to 4.74, with the overall assessment percentage reaching 90.8% and a capability level of 4.54. This shows that the internal control system at PT Persero Batam is in the very good category. The best-performing component is Monitoring Activities (4.74), while Control Environment (4.46) is an area of potential improvement. The gap analysis shows a small difference of 0.16, which indicates that internal control has almost reached the ideal level.
Pendekatan TOGAF ADM pada Penyusunan Arsitektur Enterprise SMAN 16 Surabaya Divani Jane Forinda Putri; Siti Mukaromah; Virdha Rahma Aulia
JSAI (Journal Scientific and Applied Informatics) Vol 8 No 1 (2025): Januari
Publisher : Fakultas Teknik Universitas Muhammadiyah Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36085/jsai.v8i1.7701

Abstract

This research aims to improve operational efficiency and quality of education services at SMAN 16 Surabaya through enterprise architecture design using the TOGAF ADM framework. The school faces challenges in operational management due to the lack of a structured and adequate system to support the digitization process. With a systematic methodological approach, this research includes the stages of literature review, data collection, and architecture development based on organizational needs, which include the preliminary phase, architecture vision, business architecture, information systems architecture, technology architecture, and opportunities & solutions. The results showed that the average implementation achievement reached 90.0%, with the main successes at the visioning, business architecture, and technology solution planning stages. Some of the priority solutions identified include digitizing administrative processes, integrating student data, and managing information technology infrastructure that supports learning. Also, the results of this research will provide a technology and information systems blueprint that summarizes system needs and candidate applications for each business process, providing integrated solutions and supporting the optimization of school operations as a whole.
Implementasi Retrieval Augmented Generation (RAG) Dalam Perancangan Chatbot Kesehatan Pencernaan Gufranaka Samudra; Ahmad Turmudi Zy; Ermanto
JSAI (Journal Scientific and Applied Informatics) Vol 8 No 1 (2025): Januari
Publisher : Fakultas Teknik Universitas Muhammadiyah Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36085/jsai.v8i1.7678

Abstract

The development of artificial intelligence technology, especially in the development of chatbots, has brought significant progress, especially in the health sector. However, the main challenge in using large language models (LLM) is the potential for bias and lack of accuracy in providing information, especially on critical topics such as digestive health. This study aims to implement Retrieval-Augmented Generation (RAG) in designing a digestive health chatbot to improve the accuracy and relevance of the information delivered. The RAG method integrates a generative model with a document-based retrieval system to provide more reliable and evidence-based answers. The research process involves collecting digestive health datasets through data scraping from Alodokter, as well as data processing through the preprocessing stage, embedding using the Indonesian language model (firqaaa/indo-sentence-bert-base), and data processing using a vector database with the HNSW index. The Llama 3.1:8b model is used to generate generative responses. The results of the study show that the application of RAG can reduce model bias and improve the quality of chatbot responses. Evaluation using metrics such as Mean Reciprocal Rank (MRR) 93%, Faithfullness 62%, Answer Relevancy 57%, and Semantic Similarity 81% showed good performance in providing accurate and relevant answers according to context. With this approach, chatbots are able to provide more accurate and contextual information according to user needs, and can reduce the risk of hallucinations in the information provided. This research contributes to the development of more reliable health chatbot technology, especially in the digestive health domain, and opens up opportunities for further application in other health fields
Prediksi Kepuasan Pelanggan pada Layanan E-government Menggunakan Algoritma Decision Tree Indah Permatasari; Dona Marcelina; Evi Purnamasari
JSAI (Journal Scientific and Applied Informatics) Vol 8 No 1 (2025): Januari
Publisher : Fakultas Teknik Universitas Muhammadiyah Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36085/jsai.v8i1.7718

Abstract

The Online Licensing Service Information System (SIPPERI) implemented by DPMPTSP Palembang City aims to enhance efficiency, transparency, and accountability in public services. However, several challenges were reported by users, including unintuitive navigation, slow system responses, and inaccurate information. These challenges impact the level of user satisfaction with the service. This study uses the decision tree algorithm to evaluate user satisfaction based on data obtained through questionnaires with a Likert scale assessment involving 100 respondents. The analysis process uses the Python programming language. The dimensions analyzed include Efficiency (E), Trust (T), Reliability (R), Service (CS), Usability (U), Information Availability (I), and Interaction (SI). The analysis results show that the decision tree algorithm achieves an accuracy rate of 95%. The highest-scoring dimensions were recorded in the indicators Download Speed of Forms (R1: 392) and Accuracy of Instructions (E4: 392). Conversely, the lowest-scoring dimensions were Intuitive Navigation (E1: 300) and Information Availability (I1: 314). This study provides strategic recommendations for DPMPTSP Palembang City to improve dimensions with low scores to enhance user experience and strengthen public trust in e-government services.
Implementasi Sistem Usability Scale dalam Evaluasi Usability Tiktok Silvia; Amalia, Rahayu
JSAI (Journal Scientific and Applied Informatics) Vol 8 No 1 (2025): Januari
Publisher : Fakultas Teknik Universitas Muhammadiyah Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36085/jsai.v8i1.7720

Abstract

The development of information technology has brought significant changes to how humans interact, one of which is through social media. TikTok has become one of the popular social media applications with various attractive features that support users' creativity and self-expression. This study aims to evaluate the usability level of the TikTok application using the System Usability Scale (SUS) method. This method assesses user experience based on 10 statements rated on a Likert scale ranging from "strongly disagree" to "strongly agree." Data were collected through questionnaires distributed in online. The analysis results showed an average SUS score of 73.4, indicating that TikTok has a good and acceptable usability level. This study provides insights into TikTok's strengths and weaknesses in meeting user needs and offers recommendations for further development.

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