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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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Peran Konsultan Teknologi Informasi dalam Mendukung Implementasi Good Corporate Governance Lutfy, Arjuna
JATISI Vol 12 No 1 (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.v12i1.9253

Abstract

The adoption of information technology that is being intensively carried out by companies in this decade results in companies having to do good management in order to support business needs. Information technology governance is an important aspect in companies, especially those that have adopted or invested in information technology. In the digital transformation carried out by the company, it is important for the company to pay attention so that IT governance is in line and does not conflict with the principles of Good Corporate Governance (GCG). One of the efforts made by companies to plan, implement, and evaluate IT governance is to get help from professionals called information technology consultants. However, the efforts made by information technology consultants must be ensured in accordance with the principles of Good Corporate Governance (GCG). By conducting observations, interviews and direct involvement of researchers in IT consulting projects, data was collected from the type of work done by one of the information technology consulting companies in Indonesia. Mapping was done to illustrate the suitability of the consultant's role with the five pillars of Good Corporate Governance principles. The results show that the role of IT consultants is relevant and in line with the five pillars of GCG
Kombinasi AHP-TOPSIS Pada Pemilihan Varietas Unggul Jagung Hibrida Di Desa Pantoan Maju Hidayati, Lily; Fakhriza, M.; Putri, Raissa Amanda
JATISI Vol 12 No 1 (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.v12i1.9256

Abstract

The large number of varieties of hybrid corn seeds on the market and farmers' lack of understanding of the characteristics of each variety often make it difficult for farmers to make the right choice according to the conditions of their agricultural land. This is a major challenge for farmer groups in Hamlet III, Pantoan Maju Village, who experience difficulties in selecting superior hybrid corn seed varieties to increase agricultural productivity. To overcome this problem, a web-based decision support system was built that combines the Analytical Hierarchy Process (AHP) method and the Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS). AHP is used to calculate weights on the criteria used such as crop quality, resistance to pests, and environmental adaptability, while TOPSIS is used to rank preferences for each alternative used. This system is expected to help farmers make more objective and targeted decisions. Test results show that this system is able to provide accurate and relevant recommendations, according to the needs of local farmers. And from the test results of the combination of the two methods, a decision was made on the alternative with the highest preference value of 0.928 from the Bisi-18 corn seed variety.
Klasifikasi Kain Tenun Adat Malaka Menggunakan Metode Convolutional Neural Network (CNN) Rika, Relinda Yeni
JATISI Vol 12 No 1 (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.v12i1.9345

Abstract

Kain Tenun Marobo dan futus berasal dari Malaka (Nusa Tenggara Timur) adalah salah satu warisan budaya Indonesia bernilai tinggi yang kaya akan sejarah dan makna. Marobo memiliki corak yang beragam, setiap motif dan corak pada Marobo dan futus memiliki makna dan simbolisme tersendiri. Pengenalan citra motif Marobo dan futus memiliki potensi besar untuk pengembangan aplikasi dalam berbagai bidang, seperti industri kreatif, desain produk, serta pelestarian budaya dan warisan lokal. Namun, proses pengenalan motif Marobo dan futus secara manual memerlukan waktu dan usaha yang besar. Pada penelitian ini metode yang digunakan untuk penglasifikasian adalah Convolutional Neural Network (Jaringan saraf Konvolusional). Metode yang digunakan untuk klasifikasi ini dengan model Arsitektur VGG16 dan MobileNet digunakan sebagai model dasar CNN dalam penelitian ini. Data yang akan digunakan proses training dan testing dilakukan dengan tiga jumlah yang berbeda yaitu; epoch 10,20 dan 30 dengan nilai learning rate sebesar 0,1,0.01 dan 0.001. Hasil pengujian menunjukkan bahwa akurasi terbaik dari arsitektur VGG16 diperoleh pada epoch 10 dengan learning rate 0.001 dengan tingkat akurasi rata-rata 80%. Sedangkan arsitektur MobileNet menghasilkan akurasi terbaik rata-rata 70% pada epoch dan learning rate 0.01.
PEMANFAATAN APPSHEET UNTUK PENGEMBANGAN APLIKASI PENCATATAN HASIL SURVEY (STUDI KASUS: DISKOMINFO KUKAR) Ramadhani, Ananda
JATISI Vol 12 No 1 (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.v12i1.9352

Abstract

Price index is a benchmark for measuring changes in the prices of goods or services circulating within an economic system. In Indonesia, the price index is determined based on data collected by the Central Bureau of Statistics (BPS). In the Statistics Division of the Department of Communication and Information of Kutai Kartanegara Regency (Kukar), several individuals are appointed as enumerators to record the prices from surveys. Previously, the data was manually recorded, which was inefficient and prone to errors compared to automated or digital recording methods. Moreover, inaccurate recording and reporting can impact government and public policies. Therefore, AppSheet is an ideal tool for developing a recording application with a quick development process. The steps to using AppSheet include first creating a database using Excel or Google Spreadsheet, then linking the database to AppSheet, and building the desired features. The result shows that developing a survey data recording application through AppSheet has proven to increase the efficiency of data recording based on testing that has been conducted.
Google App Script untuk Pengembangan Sistem Infromasi Laboratorium Haryadina Putra, Bima Al Fatih; Dirgahayu, Raden Teduh
JATISI Vol 12 No 1 (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.v12i1.9368

Abstract

Efficient laboratory management is essential to support academic activities at the Islamic University of Indonesia (UII). The Informatics Department Laboratory at UII faces challenges with an unintegrated room booking and inventory system, complicating resource management for administrators and users. This study aims to develop a laboratory information system based on Google Apps Script to facilitate automated room bookings integrated with Google Workspace services such as Google Calendar, Google Spreadsheets, and Google Sites. The research employs the Waterfall model, encompassing requirements analysis, system design, development, and testing. The results demonstrate that the developed system successfully automates the room booking process, provides real-time schedule access, and accelerates the approval process through email notifications. Functional testing confirmed that the system operates according to specifications and meets user needs. The conclusion of this study is that the laboratory information system based on Google Apps Script effectively enhances the efficiency of room booking management in the Informatics Faculty at UII. However, the system has limitations related to dependency on Google services, scalability, and feature flexibility, which require further development.
Pengembangan sistem monitoring admin dan pendaftaran user pada UINSAFOOD berbasis web aplikasi Jauhar, Moch Althaf; Nugroho, Bayu Adhi; Yusuf, Ahmad
JATISI Vol 12 No 1 (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.v12i1.9373

Abstract

Pusat Inkubasi Bisnis UINSA membutuhkan bantuan untuk sistem pemesanan makanan. Saat ini, proses tersebut dilakukan secara manual. Oleh karena itu, pengguna memerlukan bantuan untuk menemukan menu dan vendor. Untuk mengatasi masalah ini, penelitian ini mengusulkan perangkat lunak UINSAFOOD, sebuah platform web yang dikembangkan menggunakan Laravel 10. Aplikasi ini bertujuan untuk menyederhanakan pemesanan makanan dan juga membantu vendor mempromosikan makanan mereka. Penelitian ini menggunakan Extreme Programming (XP), yang melibatkan perencanaan, desain, pengembangan kode, dan pengujian berulang. Hasil penelitian menunjukkan bahwa UINSAFOOD berhasil meningkatkan bisnis, menyediakan pemantauan pesanan secara real-time, dan menyederhanakan sistem pemesanan bagi pengguna.
Monitoring Sistem Fluktuasi Harga Pangan Secara Realtime Berbasis Website sari, dian megah
JATISI Vol 12 No 1 (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.v12i1.9388

Abstract

The availability and access to sufficient, safe, and nutritious food is a fundamental human right. However, food price fluctuations are a key factor that significantly affect people's ability to meet their basic needs. Food price instability can result in various negative impacts, ranging from economic hardship to serious health problems. Monitoring food price fluctuations becomes crucial for governments, businesses, non-governmental organizations, and the general public to take appropriate steps in addressing the challenges faced. The aim of this research is to develop a system that monitors food price fluctuations as a key indicator of the development of the community's basic needs. The web-based system is developed using the PHP programming language with the open-source PHP framework Laravel as its platform, ensuring that food price information is presented transparently and is easily accessible to the public. Through this system, users can monitor changes in food prices over time, which can then be used as a basis for making economic decisions and managing household budgets.
Pengembangan Platform Gamifikasi pada Museum Berbasis Kuis Menggunakan Design Thinking Nur Noftianto, Eko Felix
JATISI Vol 12 No 1 (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.v12i1.9391

Abstract

Museums play a crucial role in preserving and disseminating knowledge about history, culture, art, and science. However, digital advancements challenge museums to stay relevant and appealing to tech-savvy younger generations. One solution is quiz-based gamification, which combines game elements with educational content to create interactive learning experiences. This study aims to develop a learning strategy through quiz-based gamification in museums, focusing on improving visitor engagement and understanding. The design thinking method was used, consisting of five stages: empathize, define, ideate, prototype, and test. During empathize, observations and interviews showed that traditional methods often fail to engage visitors. The define stage identified a lack of motivation for active learning as the main issue. In ideate, a quiz-based concept was designed using elements like challenges, rewards, points, levels, and competition. The prototype stage involved creating an interactive quiz, while test evaluated it with visitors. Results showed increased engagement and understanding. In conclusion, quiz-based gamification effectively enhances learning outcomes, transforming museums into interactive spaces that combine education and entertainment, making them more appealing and relevant to younger generations in the digital era.
Optimasi Preprocessing Model Random Forest untuk Prediksi Stroke Ristyawan, Aidina; Nugroho, Arie; Amarya, Theo Krisna
JATISI Vol 12 No 1 (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.v12i1.9587

Abstract

Stroke is a serious brain dysfunction disease that occurs when blood flow to the brain suddenly stops due to blockage or rupture of blood vessels. This disease is very dangerous and life-threatening. Early detection of stroke symptoms is very important to predict and prevent long-term impacts because it can save lives. Among the early detection efforts is using the Random Forest method in machine learning to predict stroke and successfully achieving 94% accuracy. This study proposes optimization of preprocessing / data preparation with interference of missing value handlers in the stroke prediction model using KNNImputer. The result is that the Random Forest method is able to improve the accuracy performance from initially having an accuracy value of 94% to between 95% - 96%. In addition, it also reduces the standard deviation or standard deviation of the Random Forest model. However, the strategy for the sequence of work between missing value handlers and categorical feature transformations does not affect the performance of the Random Forest model.
Malware Analysis of Data Theft Untilizing PDF File Muin, Yasir
JATISI Vol 12 No 1 (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.v12i1.9637

Abstract

The increased use of PDF files as a medium for cyberattacks has created significant challenges in data security, especially in terms of detection and mitigation of malware threats designed for data theft. This research aims to analyze malware threats in PDF files using static and dynamic analysis approaches to identify patterns that characterize malicious activity that could result in sensitive information leakage. Through static analysis, this research identifies specific elements in the PDF file structure, such as metadata, signatures, as well as malicious indicators that are usually hidden within scripts and encapsulated objects. On the other hand, dynamic analysis is performed by utilizing a sandbox environment to monitor the runtime behavior of PDF files, including network activity, file system access. The results show that the combination of static and dynamic analysis is able to provide more comprehensive detection, where static analysis is effective in quickly identifying signs of malware, while dynamic analysis provides deeper insights into malware behavior patterns that are not detected by static analysis alone.This research provides a static and dynamic analysis-based framework for malware identification on PDF files, as well as providing insights into the effectiveness of these methods in the context of modern data security. The findings of this research have the potential to support the development of security systems

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