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INDONESIA
JURNAL TEKNIK INFORMATIKA DAN SISTEM INFORMASI
Published by STMIK Global Informatika MDP
ISSN : 24074322     EISSN : 25032933     DOI : -
Core Subject : Science,
Computer Science & IT
JATISI bekerja sama dengan IndoCEISS dalam pengelolaannya. IndoCEISS merupakan wadah bagi para ilmuwan, praktisi, pendidik, dan penggemar dalam bidang komputer, elektronika, dan instrumentasi yang menaruh minat untuk memajukan bidang tersebut di Indonesia. JATISI diterbitkan 2 kali dalam setahun (September dan Maret), makalah yang diterbitkan JATISI minimal terdiri dari 60% dari luar Sumatera Selatan, dan 40% dari Sumatera Selatan. Makalah yang diterbitkan melalui tahap review oleh reviewer yang berpengalaman dan sudah memiliki makalah yang diterbitkan di jurnal internasional yang terindeks SCOPUS.
Arjuna Subject : -
Articles 1,216 Documents
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Efektivitas Teknik SMOTE Dalam Meningkatkan Performa Naïve Bayes Deteksi Gangguan Kecemasan Mahasiswa Samudra, Gufranaka; Anggraeni, A Widi; Jamroni, A Reza Baehaqa; Sarif, Ahmad; Wiyanto, Wiyanto
JATISI Vol 12 No 3 (2025): JATISI (Jurnal Teknik Informatika dan Sistem Informasi)
Publisher : Universitas Multi Data Palembang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35957/jatisi.v12i3.12197

Abstract

Anxiety disorders are one of the psychological problems commonly experienced by students, which can affect their quality of life and academic performance. Early detection of this disorder is crucial for providing appropriate intervention. This study aims to compare the effectiveness of the Naïve Bayes algorithm in classifying students' anxiety disorders, with and without using the Synthetic Minority Oversampling Technique (SMOTE) method to address data imbalance. The dataset used was obtained from the Kaggle platform and underwent preprocessing stages such as data cleaning, transformation, and handling data imbalance. The model was evaluated using accuracy, precision, recall, and F1-score metrics. The results show that the application of SMOTE improved classification performance for the minority class, although there was a slight decrease in overall accuracy. Therefore, SMOTE proved to help enhance the balance of classification results in the Naïve Bayes model in the context of imbalanced data.
Sistem Pakar Diagnosa Penyakit Gigi Menggunakan Metode Naive Bayes Fauzyah, Luthfia; Purnomo, Agus Sidiq
JATISI Vol 12 No 3 (2025): JATISI (Jurnal Teknik Informatika dan Sistem Informasi)
Publisher : Universitas Multi Data Palembang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35957/jatisi.v12i3.12414

Abstract

A Public awareness of the importance of maintaining dental and oral health remains relatively low, even though disorders in this area can lead to serious complications such as infections, abscesses, and systemic diseases. On the other hand, limited access to dental health services due to uneven distribution of medical personnel and high consultation costs presents a significant challenge. To address this issue, this study developed an expert system for diagnosing dental diseases using the Naive Bayes method. This method applies a probabilistic classification approach to predict disease based on observed symptoms. Data were obtained through interviews with dentists and collection of real case data at Puskesmas Imbanagara. The system was tested using 50 patient cases, with results showing 48 diagnoses matched the expert's opinion, achieving an accuracy rate of 96%. These results demonstrate that the Naive Bayes method is effective for early-stage dental disease diagnosis. The system offers a practical solution to assist the public in recognizing symptoms independently before seeking professional consultation.
ANALISIS PREDIKSI PROFIT PADA TOKO ESKA DENGAN METODE REGRESI LINEAR Sanjaya, Rizki Dwi
JATISI Vol 12 No 3 (2025): JATISI (Jurnal Teknik Informatika dan Sistem Informasi)
Publisher : Universitas Multi Data Palembang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35957/jatisi.v12i3.12563

Abstract

Eska Store, as a grocery store business, faces challenges in predicting profits accurately for more efficient business planning. This study aims to develop a profit prediction model using a simple linear regression method, which analyzes the relationship between the number of orders and Eska store revenue for three years, namely 2022 to 2024. Based on the results of the analysis, it was found that linear regression is effective in modeling the relationship between the independent variable (number of orders) and the dependent variable (revenue), with an R² value reaching 0.88 to 0.95. From the prediction results, this model shows that each additional order can increase revenue by around IDR 54,482.87 in 2022, IDR 25,163.94 in 2023, and IDR 47,782.64 in 2024. In addition, the results of the model evaluation show that although there are some errors in the prediction, overall this model can provide fairly accurate results for projecting revenue based on the number of orders. This study suggests that Eska Store uses this model periodically to support better decision making in terms of marketing strategy and production planning. It is expected that by using this linear regression-based prediction model, Eska Store can improve operational efficiency and profitability sustainably. Keywords: Number of Orders, Prediction Model, Profit Prediction, Revenue, Simple Linear Regression
Interactive H5P Module Enhances Neuroanatomy Learning in Medical Students Putra, Adi Pratama; Suryada, Kadek Agus
JATISI Vol 12 No 3 (2025): JATISI (Jurnal Teknik Informatika dan Sistem Informasi)
Publisher : Universitas Multi Data Palembang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35957/jatisi.v12i3.12610

Abstract

Neuroanatomy is a challenging subject for medical students due to its complex spatial structures and the integration of multiple functional systems. Digital tools that support active learning, such as the H5P Interactive Book (H5P IB), have the potential to improve student engagement and information retention. This study aims to evaluate the effectiveness and student satisfaction of a neuroanatomy learning module developed using H5P Interactive Book (H5P IB), which features interactive drag-and-drop activities. The module focuses on the neuroanatomy of the central nervous system presented through interactive drag-and-drop quizzes of anatomical images. 160 pre-clinical medical students participated in the study. Learning outcomes were assessed using pre- and post-tests, while student satisfaction was measured using the validated Indonesian version of the Satisfaction Scale for e-Learning Process. Results showed a significant increase in post-test scores compared to pre-test scores (p < 0.01), indicating improved understanding. Student satisfaction was high across all domains, particularly in instructional content and usability. Qualitative feedback further revealed that the drag-and-drop activities helped enhance spatial understanding and overall learning engagement. These findings suggest that the H5P Interactive Book with drag-and-drop features can improve the quality of neuroanatomy learning in medical students.
Sistem Pakar Diagnosis Penyakit Mata Menggunakan Metode Naive Bayes Panggabean, achmad Juniardo
JATISI Vol 12 No 3 (2025): JATISI (Jurnal Teknik Informatika dan Sistem Informasi)
Publisher : Universitas Multi Data Palembang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35957/jatisi.v12i3.12619

Abstract

Eye diseases are health disorders that can lead to a decline in quality of life and even blindness if not treated early. This study aims to develop a web-based expert system for diagnosing eye diseases using the Naive Bayes method. The system is designed to identify the type of disease based on symptoms selected by the user. Testing was conducted on 30 patient data cases, and the system achieved a 100% match rate—30 out of 30 cases were consistent with the expert's diagnosis. This demonstrates that the Naive Bayes method is effective for classifying eye diseases. The system was developed using PHP, MySQL, and CodeIgniter 3. The results show that the system is capable of providing fast, efficient, and accurate diagnoses and can serve as an alternative tool for early self-diagnosis of eye diseases
Enterprise Architecture Planning Pada Pemerintah Desa Lolong Dengan Zachman Framework muda, rosalia; Saitakela, Mardhalia
JATISI Vol 12 No 3 (2025): JATISI (Jurnal Teknik Informatika dan Sistem Informasi)
Publisher : Universitas Multi Data Palembang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35957/jatisi.v12i3.12634

Abstract

The purpose of implementing E-Government in the village government environment is to realize an effective, efficient, open, and accountable government. E-government in Lolong Village at the internal level of government organizations has been implemented, as evidenced by the availability of information systems used by village officials. However, the system used only supports part of the business process activities. In the village, administrative bookkeeping services are still recorded on hard or paper, where data storage takes a long time and is less efficient. This research aims to make information system architecture planning using the Zachman Framework, which can provide recommendations for the development of a planned system to help each work unit in the Lolong Village government, so that data management can be integrated with efficiency. The expected result of this study is a Blueprint as structured guidance so that it can be used as a basis for developing a structured information system that is in accordance with the needs of the village government.
APLIKASI PENGELOLAAN DATA LANSIA DAN DATA BALITA POSKESDES DESA TANJUNG HARAPAN BERBASIS WEBSITE ningsih, irma yulia; Purnomo, Wulan Andang; Putra, Firmansyah
JATISI Vol 12 No 3 (2025): JATISI (Jurnal Teknik Informatika dan Sistem Informasi)
Publisher : Universitas Multi Data Palembang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35957/jatisi.v12i3.12666

Abstract

The Village Health Post (Poskesdes) of Tanjung Harapan still manages elderly and toddler data manually using logbooks, which leads to several issues such as data inaccuracy, delayed reporting, and duplicated information. This study aims to design and develop a web-based application to support the efficient and accurate recording, processing, and reporting of elderly and toddler health data. The system development follows the Waterfall model, consisting of needs analysis, system design using UML (Unified Modeling Language), implementation, and testing using the Black Box method. The result of this research is a web-based information system featuring data management for elderly individuals, toddlers, immunizations, vitamins, and health reports, accessible by administrators and Poskesdes staff. The system is developed using PHP programming language and MySQL database. The implementation of this application is expected to enhance the effectiveness and efficiency of health services at the Tanjung Harapan Poskesdes and support the digitalization of community health data at the village level.
Penerapan Algoritma Decision Tree C4.5 untuk Klasifikasi Kepribadian Peserta Didik di Yayasan Al-Mubarak Irlanda, Dinda Claudia; Hariawan, Kurli; Rusdiah, Rudi
JATISI Vol 12 No 3 (2025): JATISI (Jurnal Teknik Informatika dan Sistem Informasi)
Publisher : Universitas Multi Data Palembang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35957/jatisi.v12i3.12719

Abstract

After the COVID-19 pandemic, the world of education has often been in the spotlight regarding the personality of each student, which means that the world of education in Indonesia is often considered to have failed in creating a young generation with noble morals, character and morals. There are many problems experienced by the world of education which cause moral values to decline, as well as cases of drug abuse, promiscuity, crime, bullying and various other acts of violence. A healthy school environment can create good personalities in students. Every problem recorded in the Guidance Counseling (BK) book is also varied, but the problems most often recorded are regarding the character and personality attitudes of students who are lacking. So the school, assisted by a psychology teacher, made a decision by conducting a personality test so that the lost character and attitudes of the students could grow again. The method used in this research uses a personality test with the C4.5 Algorithm method. The results of the method used will produce a personality classification from the test given to students who experience problems. So that Guidance Counseling Teachers can handle students based on the participants' personalities
Rancang Bangun Website Pencatatan Penerima Bantuan di Desa Keramas Ardana, I Made Putra Yudha; Putra, I Gede Juliana Eka; Utami, Nengah Widya
JATISI Vol 12 No 3 (2025): JATISI (Jurnal Teknik Informatika dan Sistem Informasi)
Publisher : Universitas Multi Data Palembang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35957/jatisi.v12i3.12809

Abstract

The manual recording of social assistance recipients in Keramas Village has led to inefficiencies, including data inaccuracies, lengthy search processes, and difficulties in tracking data changes. Advances in information technology highlight the need for digital solutions to enhance data accuracy and processing speed. This study employs the Scrum methodology, implemented across three sprints, encompassing database design, user interface (UI) development, CRUD features, data search functionality, admin login system, data visualization using Chart.js, and PDF export capability. The system was developed using Laravel, Bootstrap, MySQL, and PHP technologies. The results demonstrate the successful development of a system featuring key functionalities: recording and managing BST/BLT recipient data, keyword-based data search, graphical data visualization, and PDF export capability. Blackbox testing confirmed that all system functions operate optimally without significant issues. The study concludes that the developed system effectively replaces manual recording methods, improves operational efficiency, and reduces error risks. For future development, recommendations include adding new features, expanding the scope of manageable social assistance programs, and enabling public access to enhance transparency. Keywords— Information System, Social Assistance, Website, Laravel, Scrum, Keramas Village
Prediksi Keuntungan Harian dari Investasi Kripto Menggunakan Model Regresi Berganda Time Series Sanjaya, Leonard Putra; Alam, Syariful; Shahidzinda, Rezha; Nurzainah, Nia Siti; Hermawan, Muhammad Rizki
JATISI Vol 12 No 3 (2025): JATISI (Jurnal Teknik Informatika dan Sistem Informasi)
Publisher : Universitas Multi Data Palembang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35957/jatisi.v12i3.12870

Abstract

Crypto investment is gaining traction with students thanks to the ease of access through digital platforms like Mobee, especially the Flexi Earn feature that offers APR-based daily returns. Unfortunately, many investment decisions are still intuitive without quantitative analysis. This study aims to predict daily returns on crypto investments using linear time series multiple regression models on four assets: TRX, ENA, HBAR, and SUI. Data was collected for 30 days from the Mobee app, with the variables day n and coin price as predictors, and daily profit as the response. Results show that the regression model has high accuracy and meets the classical assumption test, although some assets violate normality within reasonable limits. The findings provide a simple yet effective analytical basis for students to make more targeted and data-driven investment decisions.

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