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Hidra Amnur
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Kampus Politeknik Negeri Padang, Jurusan Teknologi Informasi. Gedung E. Limau Manis, Pauh. Padang - Sumatera Barat. Indonesia
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JITSI : Jurnal Ilmiah Teknologi Sistem Informasi
Published by Society of Visual Informatics
ISSN : 27224619     EISSN : 27224600     DOI : 10.30630/jitsi
Core Subject : Science,
Computer Science & IT
The journal scopes include (but not limited to) the followings: Computer Science : Artificial Intelligence, Data Mining, Database, Data Warehouse, Big Data, Machine Learning, Operating System, Algorithm Computer Engineering : Computer Architecture, Computer Network, Computer Security, Embedded system, Coud Computing, Internet of Thing, Robotics, Computer Hardware Information Technology : Information System, Internet & Mobile Computing, Geographical Information System Visualization : Virtual Reality, Augmented Reality, Multimedia, Computer Vision, Computer Graphics, Pattern & Speech Recognition, image processing Social Informatics: ICT interaction with society, ICT application in social science, ICT as a social research tool, ICT education
Arjuna Subject : Ilmu Komputer (semua kategori) - Sistem Informasi
Articles 162 Documents
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Sistem Informasi Pelayanan Rekam Medis Puskesmas Purowoyoso Berbasis Web Hidayat, Taufik; Suhari, Yohanes; Mariana, Novita
JITSI : Jurnal Ilmiah Teknologi Sistem Informasi Vol 6 No 1 (2025)
Publisher : SOTVI - Society of Visual Informatics

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62527/jitsi.6.1.333

Abstract

Purwoyoso Health Center, located at Jl. Siliwangi No. 572, is a non-inpatient health facility that provides medical record and laboratory examination services. Currently, the patient data recording and search system is still done manually, resulting in difficulties in finding patient data who do not bring a medical book (KIB), as well as increasing the risk of data duplication and loss. To overcome this problem, the development of a web-based medical record service application is proposed as an effective solution, by following the waterfall method and using tools such as DFD, flowchart, and MySQL database. Application testing will be carried out using the black box method to ensure its functionality. The advantages of this application include increased efficiency of service time, ease of searching for patient data, and better data storage security. With the implementation of this application, it is hoped that Purwoyoso Health Center can improve the quality of medical record services and provide faster and more accurate access to patient information, as well as support better decision-making in health services.
Gamified Website Design for Calisthenics Workouts Enhancing Motivation and User Engagement Gregorius Lai; Istiono, Wirawan
JITSI : Jurnal Ilmiah Teknologi Sistem Informasi Vol 6 No 1 (2025)
Publisher : SOTVI - Society of Visual Informatics

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62527/jitsi.6.1.342

Abstract

Workout is one way to adopt a healthy lifestyle. Workout can minimize disease, one of which is obesity. Even though it has great benefits, there are still many people who don’t exercise regularly. Therefore, sports activities need to be increased. One sport that does not require equipment is gymnastics. Gymnastics training is a physical activity that is as beneficial as the gym. One way to help increase motivation is to do gamification. Gamification can increase motivation and make boring things more interesting. In this research, a calisthenics workout website was designed and created using the gamification method. Website was evaluated by 33 people. Based on the survey conducted, the curiosity value was 83.32%, the perceived ease of use value was 79%, the perceived usefulness value was 83.32%, the joy value of 80.6%, behavioral intention to use value of 83.03%, focused immersion value of 80.53%. The final average obtained from all categories is 81.12%.
Pengembangan Aplikasi Virtual Reality Untuk Pembelajaran Tentang Manasik Haji Akbar, Muhammad Alfian Syaifullah; Astuti, Ika Asti; Umri, Buyut Khoirul
JITSI : Jurnal Ilmiah Teknologi Sistem Informasi Vol 6 No 1 (2025)
Publisher : SOTVI - Society of Visual Informatics

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62527/jitsi.6.1.348

Abstract

This study aims to develop a Virtual Reality-based learning medium for Manasik Haji to help users understand the procedures of Hajj in an interactive and realistic way. The application was designed through three main phases: planning, development, and testing. The application's key features include several stages of Manasik Haji, such as Ihram, Wukuf, Tawaf Ifadah, Sa'i, Stoning of the Jamarat, Tahallul, Mabit, and Tawaf Wada. The application testing was conducted using the black box method to ensure that all features function as intended, and the System Usability Scale (SUS) was utilized to measure the application's usability level. The SUS score obtained after the testing was 76, which falls into Grade B, indicating that the application has a good usability level. However, there are still areas for improvement, such as enhancing interactive features, improving overall usability aspects, and conducting tests with a more diverse group of users.
Perbandingan Deep Learning YOLOv5 dan YOLOv8 Untuk Deteksi Penyakit Daun Tanaman Tomat siti choiriyah; aji supriyanto
JITSI : Jurnal Ilmiah Teknologi Sistem Informasi Vol 6 No 1 (2025)
Publisher : SOTVI - Society of Visual Informatics

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62527/jitsi.6.1.357

Abstract

Agriculture is one of the mainstays of the country's economy, especially the horticulture sub-sector such as fruits and vegetables. Tomato plants are one of the leading commodities. However, the failure of tomato cultivation due to the many types of diseases that exist is still an obstacle and interferes with plant growth, reduces yields, and even causes tomato plant death. This study aims to detect tomato leaf diseases by comparing the performance of the two YOLOv5 and YOLOv8 models. The purpose of comparing models is to determine the level of accuracy and to conclude which version of YOLO provides a better level of accuracy in the hope of helping to determine which method is most appropriate and appropriate to needs. The results showed that both YOLOv5m and YOLOv8m models performed very well in detection. Both models showed high precision, recall, and mAP values. YOLOv8m is better able to detect all objects in the image where the precision value is superior to YOLOv5m. YOLOv8m is superior in precision with a value of 0.95%, a difference of 0.02% with YOLOv5m and mAP50:95 which is 0.92%, a difference of 0.02% with YOLOv5m which means that YOLOv8m is better at identifying objects very precisely and objects of various sizes, but YOLOv8m requires a slightly longer training time than YOLOv5m. YOLOv8m is better able to detect all objects in the image where the precision value is 0.02% superior to YOLOv5m
Implementasi E-Goverment pada Sistem Informasi Pemerintahan Desa Kabupaten Kuningan Aji Permana; Nugraha, Dadan; Wati, Dyah Puteria
JITSI : Jurnal Ilmiah Teknologi Sistem Informasi Vol 6 No 1 (2025)
Publisher : SOTVI - Society of Visual Informatics

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62527/jitsi.6.1.378

Abstract

Kuningan Regency has 361 villages and 32 sub-districts consisting of village officials with their duties and authorities. In this case, village officials have not been recorded in a system, which causes a lot of data on officials that does not match the latest data, so that the DPMD (Dinas Pemberdayaan Masyarakat dan Desa) has difficulty collecting data on village officials such as personal identity, position, education, family data and other supporting data. Apart from data collection on apparatus, each village has institutions such as BPD (Badan Permusyawaratan Desa), LPM (Lembaga Pemberdayaan Masyarakat), PKK (Pemberdayaan Kesejahteraan Keluarga), Karang Taruna, Posyandu, RT/RW data, innovations and legal products which have not been recorded so that the DPMD has difficulty getting these data. The village government information system in this research will assist in managing village government data such as the identity of village officials, BPD, LPM, PKK, Karang Taruna, RT/RW, innovation, legal products to the management of proposed village documents for the purposes of reporting the village financial system which includes photos of the Village APBDesa Baligho, ILPPDrab Baligho, Siskeudes Online Homepage, Siskeudes Online Financial Report and Siskeudes Online RAPBDes. The output of this research is the Kuningan Regency Village Government Information System with users divided into DPMD, District and Village parties with access levels according to their needs.
Infrastruktur Blockchain Menggunakan Hyperledger Fabric untuk Platform Traceability Industri Kelapa Sawit Hidra Amnur; Agustin , Famela Dewi; Gaputra , Ideva
JITSI : Jurnal Ilmiah Teknologi Sistem Informasi Vol 6 No 1 (2025)
Publisher : SOTVI - Society of Visual Informatics

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62527/jitsi.6.1.385

Abstract

Teknologi blockchain telah menjadi solusi yang menjanjikan dalam meningkatkan transparansi dan keamanan data. Penelitian ini bertujuan untuk membangun infrastruktur blockchain menggunakan platform Hyperledger Fabric dengan pengujian terhadap website untuk Traceability Industri Kelapa Sawit. Website dibuat menggunakan bahasa pemrograman Node.js, dengan database CouchDB. Sistem ini dirancang untuk memastikan bahwa data dapat terjaga keamanannya, transparan, dan tidak tersentralisasi. Hasilnya menunjukkan bahwa infrastruktur untuk Platform Traceability dengan teknologi seperti Express.js, EJS, dan CouchDB, telah berhasil dibangun
Analisis Hubungan Technostress Terhadap Kesadaran Keamanan Informasi Pada Guru SMA Bayu, Airlangga; Setiawan, Bambang
JITSI : Jurnal Ilmiah Teknologi Sistem Informasi Vol 6 No 1 (2025)
Publisher : SOTVI - Society of Visual Informatics

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62527/jitsi.6.1.399

Abstract

Technostress is a phenomenon that has recently occurred frequently due to the significant development of information technology. Post COVID 19 pandemic, many sectors have transformed to information technology. As a result, many individuals who feel not fully prepared to use technology feel overwhelmed so they are vulnerable to experiencing technostress. On the other hand, as information technology develops, the risk of information security awareness is also increasingly vulnerable. This can be proven by the increasing number of data leakage cases that occur. This study aims to determine the relationship and influence between technostress and information security awareness. This study adapts three domains from HAIS-Q, namely password management, application use, and email use. This research uses PLS SEM method with 84 respondents. The results of this study prove that technostress related to password management and technostress related to email use have a negative and significant effect on information security awareness. While technostress related to the use of applications has a negative but insignificant effect on information security awareness.
Black-Box Testing pada Sistem Evaluasi Capaian Pembelajaran Berdasarkan Outcome Based Education Yulherniwati; Febrian Kasmar, Andre; Hadi, Ronal; Humaira; Asri, Ervan
JITSI : Jurnal Ilmiah Teknologi Sistem Informasi Vol 6 No 2 (2025)
Publisher : SOTVI - Society of Visual Informatics

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62527/jitsi.6.2.279

Abstract

The implementation of outcome based education curriculla requires an evaluation system capable of objectively and systematically measuring the achievement of graduation learning outcomes (GLO). Therefore, comprehensive testing of the GLO evaluation system is essentially to ensure its reliability. This study designs functional testing using a black box-testing testing approach, employing techniques such as equivalence class partitioning, boundary value analysis and state transition testing. The test case design process follow the software testing process according to ISTQB, focusing on the initial three stages: planning, analysis and design. The findings indicate that this approach is effective in verifying the qualityof GLO evaluation system based on OBE. The resulting test case design can serve as a reference for subsequent testing stages, both manual and automated
Monitoring Pengolahan Pupuk dari Kotoran Ternak Berbasis IoT Fitri Nova; Maulana, Raihan Efel; Syawaldipa, Ardi; Rozi, Fazrol
JITSI : Jurnal Ilmiah Teknologi Sistem Informasi Vol 6 No 2 (2025)
Publisher : SOTVI - Society of Visual Informatics

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62527/jitsi.6.2.299

Abstract

Amazon web services (aws) merupakan platform komputasi awan yang disediakan oleh amazon. Docker adalah platform open-source yang memungkinkan pengembang untuk mengotomatisasi penyebaran aplikasi dalam container. Container merupakan teknologi virtualisasi terbaru, dengan container memudahkan sistem administrator dalam mengelola aplikasi pada server. Docker container dapat digunakan untuk membangun, mempersiapkan, dan menjalankan aplikasi. Internet of things (iot) adalah konsep di mana perangkat fisik yang dilengkapi dengan sensor, perangkat lunak, dan teknologi lainnya terhubung ke internet dan saling bertukar data. Teknologi iot merupakan teknologi yang marak digunakan dalam pembuatan suatu sistem termasuk sistem pengolahan pupuk dari kotoran ternak. Kurang efektifnya pengolahan pupuk dari kotoran ternak pada saat ini menyebabkan masalah bagi lingkungan. Pemanfaatan kotoran ternak dengan sistem iot merupakan salah satu solusi dalam meningkatkan produktivitas peternakan serta mengurangi dampak negatif limbah ternak terhadap lingkungan. Implementasi aws dan docker pada sistem pengolahan pupuk dari kotoran ternak dapat menjadi solusi yang efektif dalam pengolahan serta penyimpanan data secara real-time
Komparasi Tingkat Akurasi Sentimen Algoritma K-Nearest Neighbor Dan Naïve Bayes Pemilihan Gubernur Jawa Tengah 2024 di Sosial Media X Ariyanto, Fajar; Saefurrohman
JITSI : Jurnal Ilmiah Teknologi Sistem Informasi Vol 6 No 2 (2025)
Publisher : SOTVI - Society of Visual Informatics

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62527/jitsi.6.2.332

Abstract

This study highlights the importance of selecting appropriate algorithms for text data analysis and provides recommendations for future exploration of other machine learning and deep learning models to improve the accuracy of sentiment analysis. This research compares the accuracy level of the K-Nearest Neighbor (KNN) and Naïve Bayes algorithms in sentiment analysis in the 2024 Central Java gubernatorial election using data from the social media platform X (formerly Twitter). The data consists of 1,337 posts classified as positive or negative sentiment. Data crawling was done using RapidMiner, and analysis was done via Python in Google Colab. The research results show that the KNN algorithm achieves the highest accuracy of 81%, while Naïve Bayes has a maximum accuracy of 79%. The KNN algorithm is superior in handling text data because of the dependent calculations between attributes, while Naïve Bayes which uses independent calculations has slightly lower performance. This research provides insight into the reaction of public sentiment towards the candidate for governor of Central Java, where the Andhika-Hendi pair received more positive sentiment than Lutfi-Yasin

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