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Jurnal Teknologi Informasi dan Pendidikan
Published by Universitas Negeri Padang
ISSN : 20864981     EISSN : 26206390     DOI : https://doi.org/10.24036/jtip
Core Subject : Science, Education, Engineering,
Computer Science & IT Control & Systems Engineering Education Engineering
Jurnal Teknologi Informasi dan Pendidikan (JTIP) is a scientific journal managed by Universitas Negeri Padang and in collaboration with APTEKINDO, born from 2008. JTIP publishes scientific research articles that discuss all fields of computer science and all related to computers. JTIP is published twice a year. The editorial board comes from the lecturer board in the Department of Electronics.
Arjuna Subject : Ilmu Komputer (semua kategori) - Ilmu Komputer (Lain-Lain)
Articles 340 Documents
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A Web-Based Safety Stock Monitoring Information System for Production Materials at CV. Ewelding's Iron Workshop Nuzul Zainul Wildan; Darmanto, Eko; Nughraha, Fajar
Jurnal Teknologi Informasi dan Pendidikan Vol. 18 No. 2 (2025): Jurnal Teknologi Informasi dan Pendidikan
Publisher : Universitas Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/jtip.v18i2.996

Abstract

CV. Ewelding is a metal workshop that experiences difficulties in managing production material stock due to manual processes that result in data discrepancies and the risk of production delays. This study aims to build a web-based stock monitoring information system with a safety stock method to ensure the availability of safe minimum stock. The system development methodology uses the waterfall model, with stages of needs analysis, system design, implementation, testing, and maintenance. The system was developed using PHP and MySQL, and is designed to support customer data management, ordering, material calculations, and production monitoring reports. The implementation results show that the system is able to provide real-time information, assist decision-making, and reduce the risk of material shortages. This system also provides efficiency for business actors in managing overall production operations.
Android-Based Studend Cooperative Application (Case Study of Kopma UMK) Agung Prasetyo; Ghozali, Muhammad Imam; Sugihartono, Wibowo Harry
Jurnal Teknologi Informasi dan Pendidikan Vol. 18 No. 2 (2025): Jurnal Teknologi Informasi dan Pendidikan
Publisher : Universitas Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/jtip.v18i2.1054

Abstract

Many cooperatives in Indonesia still rely on manual systems, resulting in slow processes, inefficiency, and data inconsistencies. To address this issue, an Android-based KOPMA application was developed using the Dart programming language and Flutter framework. The system facilitates management of member data, sales transactions, and savings in a more effective way. Implementation at KOPMA Universitas Muria Kudus demonstrated faster services, reduced data errors, and improved work effectiveness, while also contributing to student entrepreneurship through a modern and integrated system.
Implementation of Mikrotik Firewall and QoS for Secure and Efficient Internet Networking Seyhan; Triloka, Joko
Jurnal Teknologi Informasi dan Pendidikan Vol. 18 No. 2 (2025): Jurnal Teknologi Informasi dan Pendidikan
Publisher : Universitas Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/jtip.v18i2.1056

Abstract

Effective network management in school environments is an ongoing challenge as the demand for internet access among students, teachers, and staff continues to grow. This study aims to design and implement a Mikrotik-based network management solution. The research was conducted at SMK Negeri 1 Bandar Lampung, with the objectives of improving network service quality, optimizing bandwidth allocation, and ensuring network security. Mikrotik was chosen due to its flexibility in network management at a relatively affordable cost. The research methods included analyzing the school’s network requirements, designing the network topology, and configuring Mikrotik devices based on Quality of Service (QoS), firewall, and user access control. The results show that the implementation of Mikrotik successfully enhanced network stability, reduced latency, and restricted access to non-relevant websites. These findings highlight that Mikrotik provides an effective and efficient solution for network management, particularly in small to medium-scale settings. This study is expected to serve as a reference for other schools facing similar challenges in network management.
Understanding BDA-AI Adoption in E-Commerce: An Integrated Framework of TOE and Technology Acceptance Khan, Asif; Hung, Chung-Wen
Jurnal Teknologi Informasi dan Pendidikan Vol. 18 No. 2 (2025): Jurnal Teknologi Informasi dan Pendidikan
Publisher : Universitas Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/jtip.v18i2.1061

Abstract

This study develops an integrated theoretical framework examining the adoption and acceptance of Big Data Analytics and Artificial Intelligence (BDA-AI) in e-commerce environments. By synthesizing the Technology-Organization-Environment (TOE) framework with the Technology Acceptance Model (TAM), this research examines how technological and environmental contexts influence the adoption of BDA-AI and subsequent user behavior. The framework proposes that contextual factors affect BDA-AI implementation, which in turn influences users’ perceived ease of use and perceived usefulness. These perceptions, along with user satisfaction, ultimately determine the intention to continue using BDA-AI-enabled e-commerce platforms. Through a comprehensive literature review spanning 2014-2025, this study establishes theoretical foundations for understanding AI adoption patterns in digital commerce. The research contributes to existing literature by: (1) conceptualizing BDA-AI as a unified technological construct, examining the interplay between external contexts and user acceptance factors, (2) providing a validated research instrument for future empirical investigations. For practitioners, this study offers strategic insights into implementing AI solutions that enhance user experience while maintaining competitive advantage in digital marketplaces.
Internet of Things, Blockchain, and Artificial Intelligence for Green Governance – A Proposed Model Surjandy, Surjandy; Fernando, Erick
Jurnal Teknologi Informasi dan Pendidikan Vol. 18 No. 2 (2025): Jurnal Teknologi Informasi dan Pendidikan
Publisher : Universitas Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/jtip.v18i2.1066

Abstract

Global climate change remains a significant challenge that occurs in numerous regions worldwide. Countries are persistently undertaking various steps, including the development of green governance model to address this issue. Nonetheless, the implementation of these eco-friendly goods encounters numerous challenges, one of which is to the precision of data regarding green products. Conversely, substantial study has been conducted on three burgeoning technologies—blockchain, the Internet of Things (IoT), and artificial intelligence (AI)—which are progressively employed to enhance the green governance model. This qualitative study aims to conduct an in-depth exploration using 809 documents from the Scopus database, with articles from the past 10 years, and employs Biblioshiny techniques for data analysis to form a model that leverages these three technologies as a framework for governing and implementing green insurance products. These three technologies provide distinct qualities that can synergistically enhance the development of green data products. This research significantly aids the implementation of the green governance model across various industries and sectors, while also supporting governmental monitoring
Web-Based Dental Caries Detection Using a Convolutional Neural Network and OpenCV Alfarouq, Ahmad Dzaki; Hadi, Ahmadul; Novaliendry, Dony; Budayawan, Khairi
Jurnal Teknologi Informasi dan Pendidikan Vol. 19 No. 1 (2026): Jurnal Teknologi Informasi dan Pendidikan (In Press)
Publisher : Universitas Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/jtip.v19i1.1059

Abstract

Early detection of dental caries presents a significant challenge, particularly in regions with limited access to healthcare services. While many AI models focus on binary classification, real-world applications must handle irrelevant inputs to be robust. This study develops and evaluates a web-based system using a Convolutional Neural Network (CNN) for a three-class dental image classification task: 'Caries', 'No Caries', and 'Not a Tooth'. The method employs transfer learning with the MobileNetV3 Small architecture, trained on a custom augmented dataset of 5,811 images. The model was implemented into an accessible web application using the Flask framework and OpenCV library, supporting both image upload and real-time detection. On the test set, the model achieved an overall accuracy of 93%. It demonstrated exceptional performance in rejecting irrelevant images and high reliability in identifying caries. This study presents a practical and robust tool for initial dental screening, highlighting the importance of a dedicated 'non-target' class for building trustworthy real-world AI applications in tele-dentistry.
ANALISIS OPTIMALISASI PEMBELAJARAN TEKNIK PENGELASAN MIG MELALUI ANALISIS CACAT LAS BERBASIS ARTIFICIAL INTELLIGENCE: STUDI PERBANDINGAN MONICA AI, CLAUDE, DAN PERPLEXITY Khairu Syifa, Muhammad Rama; Marsono; Imam Muhtarom; Bahrul Rizky Kurniawan
Jurnal Teknologi Informasi dan Pendidikan Vol. 18 No. 2 (2025): Jurnal Teknologi Informasi dan Pendidikan
Publisher : Universitas Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/jtip.v18i2.1065

Abstract

ABSTRACT This study aims to examine efforts to optimize MIG welding technique learning through the use of artificial intelligence (AI). This study compares three platforms: Monica, Claude, and Perplexity. The results were then evaluated using expert judgment. The background to this research stems from the difficulty students face in recognizing various types of defects in welding results, which results in decreased joint quality and a poor understanding of the welding process as a whole. This study employed a comparative experimental method involving expert validators to validate the analysis results. Three images of MIG welding defects were analyzed separately by the three AI platforms, and the identification results were validated by welding experts. Based on the findings, Perplexity proved to have the highest accuracy in identifying defects, followed by Monica, while Claude performed the lowest. These findings indicate that AI integration can accelerate the identification process, simplify analysis, and make a positive contribution to welding technique learning. However, the study also revealed limitations, particularly related to the use of complex technical language and local contexts that AI has not yet fully accommodated. Therefore, it can be concluded that the application of AI, specifically Perplexity, has the potential to be an effective innovation to support the welding learning process in educational settings.
Interpretation of the Subsurface Structure of Batanta Island Using Gravity Method and 2D Modeling Febi Kurnia Sari, Ceni; Rohmala, Fajar K.; Wanggai, Charly Bravo; Mardiyadi, Zulfikar; Putri, Eka Febi Selvandy
Jurnal Teknologi Informasi dan Pendidikan Vol. 19 No. 1 (2026): Jurnal Teknologi Informasi dan Pendidikan (In Press)
Publisher : Universitas Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/jtip.v19i1.1068

Abstract

Batanta Island in Raja Ampat, West Papua, is located in an active tectonic zone dominated by fault structures and igneous rock intrusions, thus possessing significant geological potential. This research aims to identify the subsurface structure of the island using the gravity method that has undergone drift, tidal, topographic, and Bouguer corrections, followed by regional-residual component separation. 2D modeling with GM-SYS software was used to construct geological cross-sections based on rock density distribution. Results show the presence of several main units, including massive lava, breccia, Quaternary deposits, and high-density intrusion bodies (±3.00 g/cm³) that are interpreted as diorite. An active fault zone and lithological boundary were also found, which serve as the main controllers of geological structure. These findings indicate the presence of mineralization potential and complex geological dynamics, and serve as an important initial contribution to further geological exploration on Batanta Island and its surroundings
Agile-Based Field Internship Information System for Academic Administration Digitalization Made Pradnyana Ambara; I Made Agus Oka Gunawan; I Wayan Rizky Wijaya
Jurnal Teknologi Informasi dan Pendidikan Vol. 19 No. 1 (2026): Jurnal Teknologi Informasi dan Pendidikan (In Press)
Publisher : Universitas Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/jtip.v19i1.1069

Abstract

This study presents the development of a web-based internship management information system (PKL) aimed at improving the efficiency, transparency, and accountability of internship administration and supervision processes in the Department of Information Technology, Politeknik Negeri Bali. The system was developed using the Agile methodology to allow iterative and adaptive development, supported by the CodeIgniter 4 framework for lightweight and modular implementation. Core system features include online registration, internship letter submission, document uploads, supervision logs, and lecturer monitoring tools, all integrated to facilitate collaboration among students, supervisors, and administrators. The system’s performance was evaluated using black-box testing, which confirmed valid results across all major functional requirements, ensuring technical reliability. Furthermore, a usability assessment using the System Usability Scale (SUS) involving 20 respondents produced a score of 84.50, categorized as excellent, indicating high user satisfaction, ease of use, and efficiency. These findings demonstrate that the system not only fulfills its functional objectives but also enhances the digital transformation of vocational academic services, offering a replicable and scalable model for other educational institutions aiming to modernize their internship management processes.
Modeling Bedoyo Majapahit Dance Motion Using HMM Emission Families Adisusilo, Anang Kukuh; Wahyuningtyas, Emmy; Pribadi Ikhsan, Teguh
Jurnal Teknologi Informasi dan Pendidikan Vol. 19 No. 1 (2026): Jurnal Teknologi Informasi dan Pendidikan (In Press)
Publisher : Universitas Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/jtip.v19i1.1070

Abstract

This study investigates three types of emission families in Hidden Markov Models (HMMs) for reconstructing Bedoyo Majapahit dance motion captured using a markerless system. The recorded skeleton data, consisting of 3,341 frames and 33 joints per frame, were normalized and reduced into a 30-dimensional latent space using Principal Component Analysis (PCA). Three emission variants were evaluated: single-Gaussian HMM, Gaussian-mixture HMM (GMM-HMM), and Multinomial HMM. The evaluation employed a tri-metric scheme consisting of Mean Squared Error (MSE), Dynamic Time Warping (DTW), and Fréchet distance to measure reconstruction fidelity. The experimental results showed that GMM-HMM consistently outperformed the other two models, achieving the lowest reconstruction error and the closest alignment to the original temporal and geometric motion profiles. The Gaussian HMM demonstrated moderate performance but tended to underestimate motion amplitude, while the Multinomial HMM produced the weakest results due to the discretization of continuous pose data. These findings indicate that multimodal emission functions provide a more expressive representation for continuous dance motion. The study highlights the suitability of GMM-HMM for traditional dance preservation through computational modeling and contributes to the development of digital motion archiving for cultural heritage.

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