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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 365 Documents
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Analisis Kualitas Website Dukcapil Kabupaten Sorong Selatan Menggunakan Metode WebQual 4.0 Jordi Ambrosius Tipawael; Indri Anugrahamadhani; Sahiruddhin Sahiruddhin
Jurnal Teknologi Informasi dan Pendidikan Vol. 19 No. 1 (2026): Jurnal Teknologi Informasi dan Pendidikan
Publisher : Universitas Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/jtip.v19i1.1108

Abstract

This study analyzes the quality of the Dukcapil (Department of Population and Civil Registration) website in South Sorong Regency, West Papua Province, using the Web Qual 4.0 method. The novelty of this study lies in its geographic focus on an underdeveloped eastern Indonesian region characterized by limited digital infrastructure and low digital literacy a context largely absent from existing e-government quality literature. A quantitative survey was conducted with 100 respondents selected through purposive sampling. The instrument demonstrated high reliability (Cronbach’s Alpha = 0.942 for performance; 0.928 for importance). Data were analyzed using descriptive statistics and Importance-Performance Analysis (IPA). Results indicate that all three Web Qual 4.0 dimensions scored below user expectations: usability (performance = 3.42; importance = 4.05), information quality (3.38; 4.24), and service interaction (3.35; 4.14), yielding an overall mean gap of -0.77. The below-average scores notably lower than comparable studies in urban areas such as Bandung (3.65) and Tangerang (3.58) reflect structural constraints including limited IT human resources, constrained budgets, and uneven internet infrastructure that are characteristic of eastern Indonesian regions rather than mere service quality deficiencies. IPA identified 9 priority attributes requiring immediate improvement, predominantly in information quality (e.g., information currency, gap = -1.30) and service interaction (e.g., data security, gap = -1.06; communication ease, gap = -1.00). This study recommends targeted improvements in content management, security systems, and interactive communication features, and calls for mixed-methods and comparative studies across eastern Indonesian regions to strengthen policy generalizability.
Developing a Teacher Module on the Application of Unplugged Coding in Handwashing Skills Learning for Children with Down Syndrome Wulandari Eni; Chamidah Atien Nur
Jurnal Teknologi Informasi dan Pendidikan Vol. 19 No. 1 (2026): Jurnal Teknologi Informasi dan Pendidikan
Publisher : Universitas Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/jtip.v19i1.1118

Abstract

This study aims to develop a teacher module on the application of unplugged coding (coding without a computer) in learning handwashing skills for children with Down syndrome. This study also aims to test the feasibility of the module based on the assessment of material experts and media experts, as well as to test the Pub. effectiveness of the module in improving teacher competency. The method used is Research and Development (R&D) with the ADDIE model (Analysis, Design, Development, Implementation, Evaluation) The resulting product is a Google Sites-based digital module called “SI TEPAT”. The validation results show that this module is "Very Feasible" with a score of 97.3% from material experts and 93% from media experts. The effectiveness test on 105 SLB teachers showed a significant increase in pre-test and post-test results, proving that this module is effective in improving teacher understanding in teaching coding concepts through daily activities.
Application of K-Means Clustering for Consumable Inventory Expenditure at BKPSDM of Kudus Regency Windraningsih; R. Rhoedy Setiawan; Supriyono
Jurnal Teknologi Informasi dan Pendidikan Vol. 19 No. 1 (2026): Jurnal Teknologi Informasi dan Pendidikan
Publisher : Universitas Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/jtip.v19i1.1106

Abstract

The management of consumable inventory expenditure at the Human Resources and Personnel Development Agency (BKPSDM) of Kudus Regency still encounters challenges due to manual and unsystematic data analysis processes. This study aims to classify inventory usage data using the K-Means Clustering method supported by the CRISP-DM framework. The variables used include the quantity and total value of item expenditures. A web-based system was also developed to support the clustering process and provide analysis results more effectively. The K-Means++ algorithm was implemented to obtain better centroid initialization. The findings show three main clusters representing low, medium, and high expenditure levels. The system presents clustering results in tables and charts, making them easier to interpret for decision-making. This research is expected to support inventory planning and improve efficiency in inventory management at BKPSDM Kudus.
The Role of Digital Platforms and Online User Interaction in Shaping Tourist Emotional Satisfaction Qori Fauziah; Asmar Yulastri; Yudha Aditya Fiandra; Dony Novaliendry
Jurnal Teknologi Informasi dan Pendidikan Vol. 19 No. 2 (2026): Jurnal Teknologi Informasi dan Pendidikan
Publisher : Universitas Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/jtip.v19i2.1103

Abstract

Tourist experiences in the digital era are shaped not only by on-site physical interactions but are increasingly influenced by digital platforms, online reviews, and social media. Although the literature on digital tourism is growing rapidly, a gap remains in understanding how digital interactions holistically and integratively influence tourists' emotional satisfaction, particularly in coastal destinations. This study aims to examine the role of digital and information technology-based factors in shaping tourists' emotional satisfaction in coastal destinations by developing an integrated model that links the physical and social environments, digital experience quality, electronic word of mouth (e-WOM), digital destination image, and tourist engagement. Data were collected from 339 tourists who actively used digital platforms during their visits to a coastal destination in Indonesia. A mixed-method analytical approach was employed, combining Partial Least Squares Structural Equation Modeling (PLS-SEM) to test linear relationships and fuzzy-set Qualitative Comparative Analysis (fsQCA) to uncover complex configurational pathways leading to high emotional satisfaction. The findings indicate that digital experience quality and e-WOM significantly strengthen digital destination image, which in turn enhances tourist engagement and emotional satisfaction. Tourist engagement emerged as the strongest direct predictor of emotional satisfaction. The configurational analysis revealed multiple alternative pathways leading to high satisfaction, with digital destination image identified as a necessary condition across all configurations. This study offers theoretical contributions by integrating environmental psychology and digital tourism literature into a comprehensive model and by applying a mixed-method approach (SEM-fsQCA) capable of capturing causal complexity. Practically, the findings underscore the importance for destination managers to not only manage physical attractions but also to proactively build a strong digital destination image, encourage positive e-WOM, and create interactive and engaging digital experiences to enhance tourists' emotional satisfaction.
Lightweight YOLO Models for Robust Facial Expression Detection Achmad Indra Aulia; Albert Jofrandi Hutapea; Amril Mutoi Siregar; Surjandy
Jurnal Teknologi Informasi dan Pendidikan Vol. 19 No. 2 (2026): Jurnal Teknologi Informasi dan Pendidikan
Publisher : Universitas Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/jtip.v19i2.1120

Abstract

Facial expression recognition is a fundamental component of artificial intelligence systems, particularly in human–machine interaction. However, achieving robust detection accuracy remains challenging due to variations in lighting, facial orientation, and limited training data diversity. While recent lightweight YOLO architectures—YOLOv8n, YOLOv10n, and YOLO11n—have demonstrated strong performance in general object detection, comparative studies evaluating these models specifically for facial expression detection remain limited. This study addresses this gap by systematically comparing these three nano-variant models on a dataset of 2,000 labeled facial images across four expression categories: flat face, angry, sad, and smile. The dataset was divided into training (70%), validation (20%), and test (10%) subsets. Experiments were conducted under two scenarios—with and without data augmentation—using identical training configurations. Augmentation techniques included mosaic composition, HSV variation, geometric transformations, and flipping. Results show that augmentation improved the F1 score of YOLOv10n from 0.68 to 0.72 and YOLO11n from 0.65 to 0.72, with the latter achieving the highest overall precision of 0.82. YOLOv8n exhibited stable performance with an F1 score of 0.75 under both conditions. Confidence threshold optimization revealed distinct optimal operating points for each model, ranging from 0.1 to 0.6, confirming that per-model threshold tuning is necessary to maximize detection performance. These findings provide practical guidance for selecting and configuring lightweight YOLO models for facial expression detection in resource-constrained environments.
Teknologi Blockchain dalam Sistem Crowdfunding Berbasis Donasi Alixa Arivya Tofer; Dony Novaliendry; Titi Sriwahyuni; Syafrijon; Oktoria
Jurnal Teknologi Informasi dan Pendidikan Vol. 19 No. 2 (2026): Jurnal Teknologi Informasi dan Pendidikan
Publisher : Universitas Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/jtip.v19i2.991

Abstract

This study successfully designed and developed a blockchain-based crowdfunding system using Base, implementing secure authentication through wallet addresses as the primary user identity. The system supports key features such as campaign creation, donation, and fund withdrawal. Campaign creation allows users to set fundraising targets and deadlines, donations are recorded directly on the blockchain to ensure transparency, and fund withdrawals can only be performed by the campaign owner once specific conditions are met. The implementation of smart contracts played a vital role in ensuring that all transactions were transparent, secure, and accountable. Furthermore, the system effectively eliminated the need for intermediaries, as typically seen in conventional platforms, by replacing the role of fund custodians with smart contracts. As a result, it no longer required high administrative fees, instead relying on a fixed and significantly lower gas fee. This approach enhanced public trust, reduced operational costs, and strengthened accountability in the management of donations through a decentralized and tamper-resistant system.
Rancang Bangun Chatbot Pendidikan Berbasis Web dengan Natural Language Processing untuk Layanan Informasi Publik di SMK Negeri 2 Padang Rani Nabilla Putri; Elfi Tasrif; Ahmaddul Hadi; Rizkayeni Marta
Jurnal Teknologi Informasi dan Pendidikan Vol. 19 No. 2 (2026): Jurnal Teknologi Informasi dan Pendidikan
Publisher : Universitas Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/jtip.v19i2.1002

Abstract

This study addresses the limited efficiency of public information services in vocational schools, which often results in delayed responses and repetitive administrative workload. This research aims to design and develop a web-based educational chatbot using Natural Language Processing (NLP) to improve information accessibility at SMK Negeri 2 Padang. The system was developed using the Waterfall model and implements text preprocessing, TF-IDF vectorization, and cosine similarity for intent recognition. System evaluation was conducted through Black Box Testing and accuracy measurement based on user queries. The results show that the system achieved a 100% success rate in functional testing and 91% accuracy in intent classification, indicating its effectiveness in providing relevant and real-time information. This study contributes by offering a practical, scalable, and user-friendly NLP-based solution to enhance public information services in educational institutions.
Perbandingan Kinerja Stemming Bahasa Indonesia: Implementasi PL/SQL Algoritma Nazief dan Adriani versus Library Sastrawi I Putu Gede Panji Badra Mahayana; Komang Oka Saputra; Made Sudarma
Jurnal Teknologi Informasi dan Pendidikan Vol. 19 No. 2 (2026): Jurnal Teknologi Informasi dan Pendidikan
Publisher : Universitas Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/jtip.v19i2.1098

Abstract

Text preprocessing in Indonesian applications commonly relied on external libraries such as Sastrawi. However, performing this task outside the database layer often introduced significant latency due to data communication overhead between the application and the server. This study proposed and evaluated a native stemming mechanism utilizing the Nazief and Adriani algorithm implemented directly within an Oracle PL/SQL environment. The primary objective was to determine whether in-database processing could offer better performance than the standard application-layer approach. The assessment compared the PL/SQL implementation against the Python-based Sastrawi library using a comprehensive dataset of 54,715 words sourced from the Kamus Besar Bahasa Indonesia (KBBI). Performance metrics focused on stemming accuracy and total execution time. The empirical results revealed that the proposed PL/SQL method achieved an accuracy of 96.82%, which proved slightly superior to the 96.58% accuracy obtained by Sastrawi. Furthermore, the stored procedure implementation demonstrated significant efficiency, completing the process in 602.22 seconds, whereas the baseline method required 1,259.28 seconds. It was concluded that migrating the stemming logic into the database layer effectively reduced execution time by approximately 52.18% while maintaining high precision. These findings suggested that native database implementation provided a more robust solution for systems requiring high-performance text processing.
Bahasa Inggris Luthfansyah; Dwi Agus Sudjimat; Yayi Febdia Pradani
Jurnal Teknologi Informasi dan Pendidikan Vol. 19 No. 2 (2026): Jurnal Teknologi Informasi dan Pendidikan
Publisher : Universitas Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/jtip.v19i2.1116

Abstract

This research is motivated by the low learning outcomes of students in the Technical Drawing subject at Vocational Schools due to the dominance of conventional methods that are less able to visualize objects comprehensively. The purpose of this study is to analyze the effect of using digital flipbook learning media on the learning outcomes of class X students of Welding Engineering Expertise Concentration at SMK Negeri 10 Malang. The research method used is quantitative with a One Group Pretest-Posttest design on 70 students selected through a total sampling technique. The research instrument is a validated multiple-choice objective test, and the data are analyzed using the Paired Sample T-Test and N-Gain tests. The results of the study showed a significant increase in the average value from 79.91 to 90.89 with a significance value of 0.000 (p < 0.05). The effectiveness of media use is in the "Medium" category with an average N-Gain of 0.5611. The conclusion of this study states that digital flipbook media has a real influence in improving students' conceptual understanding and cognitive achievement in technical drawing competencies. This media is recommended as a strategic tool to support innovative digital learning transformation in the Independent Curriculum era.
Analisis dan Prediksi Perubahan Tutupan Lahan Kota Palangkaraya Menggunakan Model Cellular Automata–Neural Network Berbasis MOLUSCE Charly Bravo Wanggai; Supardi; Ceni Febi Kurnia Sari; Zulfikar Mardiyadi; Eka Febi Selvandy Putri
Jurnal Teknologi Informasi dan Pendidikan Vol. 19 No. 2 (2026): Jurnal Teknologi Informasi dan Pendidikan
Publisher : Universitas Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/jtip.v19i2.1117

Abstract

Land cover change represents a dynamic phenomenon driven by human activities and rapid regional growth, particularly in Palangka Raya City. This study aimed to analyze the historical dynamics of land cover changes during the 2016–2020 period and predict development trends for 2028 and 2040. The methodology integrated Cellular Automata and Artificial Neural Network (CA-ANN) models utilizing the MOLUSCE plugin within Geographic Information System software. Several driving factors were incorporated into the modeling process, including distance from road networks, distance from rivers, slope, elevation, and population density. The analysis revealed a significant transition from natural vegetated areas, such as peat swamp forests and shrublands, into anthropogenic land uses, specifically oil palm plantations and built-up areas. Model validation was performed using the Kappa coefficient test, which yielded a high level of accuracy, thereby confirming the reliability of the model for spatial projection purposes. The prediction results for 2028 and 2040 provided critical spatial insights regarding the potential continuous expansion of built-up areas. These findings were intended to serve as a crucial reference for local governments in formulating sustainable spatial planning policies to mitigate future environmental degradation.

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