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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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Metode Profile Matching Sistem Pendukung Keputusan Untuk Menentukan Orang Dalam Gangguan Jiwa Rahayu, Tri; Wirawan, Rio; Krisnanik, Erly
JITSI : Jurnal Ilmiah Teknologi Sistem Informasi Vol 5 No 4 (2024)
Publisher : SOTVI - Society of Visual Informatics

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62527/jitsi.5.4.315

Abstract

The Profile Matching method is a technique in decision support systems that is used to analyze the conformity of criteria with predetermined standards. In the context of determining mental disorder status, this method plays a role in identifying individuals based on certain mental health criteria. The process involves comparing an individual's profile with a standard profile that describes the characteristics of mental disorders. The criteria analyzed include aspects of the indicators, namely; Emotional, Physical, Behavioral and Psychological relevant to mental health. This method is able to provide objective recommendations because it uses weight-based calculations for each criterion. This Profile Matching-based decision support system can help health workers and decision makers at the village level to identify and group individuals with mental disorders, so that appropriate interventions can be determined. With this system, the process of evaluating people's mental health conditions can be carried out more accurately and efficiently. This method is one method of determining the indication that a person is classified as an ODGJ with the indicators, namely; Emotional, Physical, Behavioral and Psychological. Based on research results from 5 patients who were tested using the Profile Matching method, the following results are in the highest order; Patient F had the highest score, namely 3.7, patient R, namely 3.4, patient C, namely 3.3, patient S, namely 3.2 and the smallest was patient A, namely 3.0. It is hoped that it can increase early detection of mental disorders, as well as speed up follow-up treatment or referral to further mental health services.
Kinerja Generative Pre-Trained Transformers (GPT) dalam Menjawab Soal Anatomi pada Ujian Spesialisasi Kedokteran Gigi Turki keskin, arif; Aygun, Tayfun
JITSI : Jurnal Ilmiah Teknologi Sistem Informasi Vol 5 No 4 (2024)
Publisher : SOTVI - Society of Visual Informatics

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62527/jitsi.5.4.317

Abstract

Artificial intelligence based programs are used in various fields of daily life, often without our awareness. With the increasing integration of artificial intelligence applications into the educational system, accessing information has become faster. As a result, chat programs that produce text-based answers similar to those of humans are being used as educational tools. The accuracy of the content generated by these programs has always been a topic of interest. In our study, we evaluated the success of ChatGPT, Gemini, and Copilot applications in answering dental specialty exam anatomy questions from 2012-2021. In the computer environment, free versions of ChatGpt-4, Google Gemini and Microsoft Copilot were accessed. The responses were recorded as either correct or incorrect. Out of 74 anatomy questions ChatGPT, Gemini and Copilot gave 2, 10, and 1 incorrect answers, respectively. Although the evaluated programs showed sufficient success in answering anatomy questions, their use was deemed limited due to errors in the supplementary information they provided.
Aplikasi Pendeteksi Kematangan Tanaman Menggunakan Metode Transformasi Ruang Warna HSI (Hue, Saturation, Intensity) dan K-NN (K- Nearest Neighbor) Hidra Amnur; Vadreas, Andrew Kurniawan; Ridwan, M.
JITSI : Jurnal Ilmiah Teknologi Sistem Informasi Vol 5 No 4 (2024)
Publisher : SOTVI - Society of Visual Informatics

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62527/jitsi.5.4.318

Abstract

Tomatoes and chili peppers are essential commodities in the agricultural and food industry, playing a crucial role in nutritional diversity and flavor in human diets. Identifying the ripeness of these fruits is a critical step in the food supply chain, yet it is often done manually by directly observing the ripeness of chilies and tomatoes, which is time-consuming and susceptible to observer subjectivity. Therefore, a system that can identify the ripeness of tomatoes and chili peppers is needed. This system implements the HSI color space extraction method and the K-NN method. K-NN can classify plants based on colors extracted using the HSI color space, which includes three dimensions: Hue (H), Saturation (S), and Intensity (I). The research results in a model from the tomato and chili pepper dataset with an accuracy of 92% and a data split ratio of 80%:20%. This model is implemented in web and mobile formats, expected to efficiently and accurately identify the ripeness of tomatoes and chili peppers. This can help farmers determine the optimal harvest time, improve agricultural production and quality, and provide more reliable information in the food supply chain
Analisis User Experience Tiktok Shop Menggunakan Framework Heart dan Importance Performance Analysis theresiawati, theresiawati; Ananda Alvi Al Fadhli Josephine; Henki Bayu Seta; Rudhy Ho Purabaya
JITSI : Jurnal Ilmiah Teknologi Sistem Informasi Vol 5 No 4 (2024)
Publisher : SOTVI - Society of Visual Informatics

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62527/jitsi.5.4.319

Abstract

The rapid evolution of social media usage in Indonesia, particularly on TikTok, has marked a significant shift in online interaction. Despite initial controversies over negative content, TikTok's popularity surged in 2019 due to features such as the For You Page (FYP), dance challenges, and the increased online activity during the COVID-19 pandemic. Expanding its scope, TikTok introduced e-commerce features, including TikTok Shop, positioning itself as one of Indonesia's leading social commerce platforms. This study analyzes the user experience (UX) of TikTok Shop using the HEART framework (Happiness, Engagement, Adoption, Retention, and Task Success) combined with Importance Performance Analysis (IPA). Data was collected through questionnaires distributed to TikTok Shop users to identify key indicators for enhancing user experience and correlating these with the user interface (UI) of the TikTok Shop menu. Results revealed significant findings in the Cartesian diagram, with key metrics in Quadrant II including H1 (3.767%), H3 (2.31%), A1 (3.767%), and T7 (1.856%). Redesign recommendations were implemented for items categorized as Action and positioned in Quadrants II and III. Post-redesign testing showed a notable improvement, with an average performance increase of 12.1% compared to the initial evaluation. These findings offer insights into optimizing the TikTok Shop interface to enhance user satisfaction and engagement.
Klasifikasi Kematangan Buah Pepaya Berdasarkan Warna Menggunakan Convolutional Neural Network Utama Putra, Kharisma; Yosfand, Windra; Ramadhanu, Agung
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.6.1.283

Abstract

Dengan kemajuan teknologi di bidang pengolahan citra digital (digital image processing) menjadi daya tarik tersendiri dalam mempermudah kehidupan manusia sehingga memunculkan banyak aplikasi yang dapat menerapkannya dalam berbagai bidang. Metode digital image processing dapat mentransformasikan citra masukan menjadi citra keluaran yang dapat dimanfaatkan untuk mengidentifikasi dan mengklasifikasi objek dalam kehidupan. Buah pepaya merupakan buah yang sering dikonsumsi manusia. Proses pemanenan buah pepaya dapat dilakukan menggunakan metode visual dengan memperhatikan warna dan ukuran buah. Pada penelitian ini beberapa sampel buah pepaya diambil nilai RGB dan dilakukan pengolahan dengan metode convutional neural network untuk mendapatkan tingkat kematangan dari buah pepaya. Hasil akhir dari penelitian ini bertujuan untuk membuat aplikasi yang dapat melakukan identifikasi dan mengklasifikasikan objek. Dalam pengujian sistem diperoleh persentase tingkat keberhasilan sebanyak 95%.
Fault Classification and Detection in Transmission Lines by Chimp optimization algorithm (ChOA) Associated support Vector Machine Kumar, V Rajesh; P.Aruna Jeyanthy; Mahesh K
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.6.1.284

Abstract

This paper presents a new method for fault classification and detection in transmission lines using the Chimp Optimization Algorithm (ChOA) integrated with Support Vector Machine (SVM). The adding complexity of modern power schemes demands more accurate and efficient methods for identifying and classifying faults to ensure system reliability and minimize downtime. The proposed method leverages the strengths of ChOA, an optimization procedure motivated by the social actions of chimpanzees, to optimize the parameters of the SVM, enhancing its ability to classify different types of faults accurately. By combining ChOA with SVM, the method not only improves fault classification accuracy but also reduces computational time, making it suitable for real-time applications. Extensive simulations were conducted using various fault scenarios and configurations to justify the execution of the ChOA-SVM model. The outcomes demonstrate that the suggested approach outperforms traditional fault detection procedures in precision, speed, and adaptability to different transmission line conditions. This study aids to the field of power system protection by giving a robust and efficient solution for fault classification and detection, with potential applications in enhancing the resilience and reliability of transmission networks..
Analisis Performa Ion Thruster Dengan Variasi Jarak andri, Andriawan; Putra, Ikbal Rizki; Andriawan
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.6.1.297

Abstract

This research aims to examine the performance of ion thrusters with varying distances. An ion thruster is an electric propulsion technology that generates thrust by expelling positively charged ions. This technology offers high fuel efficiency, which is crucial for space missions that require minimal fuel endurance. The study uses a prototype ion thruster in a laboratory setting with a testing voltage of 5V. The testing focuses on analyzing current strength as a primary performance parameter. The research results are expected to provide insights into optimizing energy use for spacecraft, enabling fuel load reduction and increased payload capacity. This study also contributes to the sustainable development of space technology by emphasizing the importance of efficient energy consumption in ion thruster operations. The research employs an experimental method by measuring the performance of ion thrusters at various distances. The results of this study are expected to serve as a reference for further development of ion thruster technology, particularly in the aspects of energy conservation and operational efficiency enhancement
Analisis Audit Sistem Informasi Berbasis Cobit 5.0 Website Pengembangan Karir dan Kewirausahaan Regina Josephine; theresiawati, theresiawati; Henki Bayu Seta; I Wayan Widi Pradyana
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.6.1.320

Abstract

The Technical Implementation Unit for Career Development and Entrepreneurship (UPT PKK) UPN Veteran Jakarta is a facility for students to obtain information related to entrepreneurship and career opportunities. However, the utilization of the UPT PKK UPNVJ website is considered suboptimal, with 71% of respondents stating that the website services still require improvement. This research aims to improve the quality of the UPT PKK UPNVJ website feature services through an information system audit using the COBIT 5.0 framework in the APO, BAI, and DSS domains. The subdomains analyzed include APO (APO01, APO11, APO13), BAI (BAI02, BAI09), and DSS. (DSS01, DSS03). The audit results show an average capability score of 3.78, which falls within the Predictable Process level, with a gap of 0.14 from the expected level. In-depth analysis reveals that the IT processes in the APO11 and APO13 subdomains have a gap of 1 from the expected level, which is level 5. This study concludes that although most processes have met a good level of capability, there are opportunities for improvement in several subdomains to reach the expected level of capability. Improvement recommendations are focused on optimizing IT processes in the APO11 and APO13 subdomains to enhance the overall performance of the UPT PKK website.
Analisis Keamanan Website Shih Ka Plastic Boxes Factory Terhadap Ancaman SQL Injection Muhsinin, Muhammad Muhsinin; Mukhammad Said Riza Zudi; Yekti Adi Prasetyo; Ahmad Maulana Arif; Susanto
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.6.1.329

Abstract

This study discusses security vulnerabilities in web applications, focusing on SQL injection attacks. With the increasing number of internet users and sensitive data being managed, system security on websites has become crucial. This research uses SQLmap to identify and explore potential attacks on the Shih ka Plastic Boxes Factory website. The findings reveal significant security gaps due to insufficient input validation. It was found that attackers could easily access sensitive data through the exploitation of these vulnerabilities. Additionally, recommendations for security improvements are suggested, including the implementation of strict input validation and the use of prepared statements to protect the database.
Rancang Bangun Sistem Informasi Tata Kelola Keuangan Komite Sekolah SMPN 1 Sedati Berbasis Website Wicaksana, Andhika Bisma
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.6.1.330

Abstract

SMPN 1 Sedati or commonly called SPENSASED is a junior high school located in Sedati, Sidoarjo Regency, East Java Province, Indonesia. The school has a long history of creating quality education programs for its students. Over time, SMPN 1 Sedati has become one of the fastest growing educational units and has earned the nickname Movers School. The curriculum used at SMPN 1 Sedati is an independent curriculum, which focuses on developing students' interests and talents. Not only the academic program is improved, but the extracurricular program is also very concerned. But on the other hand, the development of technology at SMPN 1 Sedati tends not to be as fast as the educational program. As an example of the topic I used, namely about Committee Financial Governance, the absence of a program that can support the performance of the staff in charge makes everything related to committee finances must be done manually and cannot be monitored in real time. In the design, the author explores further information about the main needs of the treasurer and financial staff at SMPN 1 Sedati as the main support in the system development process. The author aims to assist related parties in managing committee finances in order to create transparency and actual information.

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