cover
Article Per Year (5 Year)
All
Home Page
OAI Link
Editorial Team
Contact
Reviewer
Google Scholar
Contact Name
Berlian Maulidya Izzati
Contact Email
berlianizzati@unesa.ac.id
Phone
-
Journal Mail Official
jetis@unesa.ac.id
Editorial Address
Gedung A10 Teknik Informatika Jalan Raya Ketintang, Kec. Gayungan Kota Surabaya (60231)
Location
Kota surabaya,
Jawa timur
INDONESIA
Journal of Education Technology and Information System
Published by Universitas Negeri Surabaya
ISSN : -     EISSN : 30898706     DOI : https://doi.org/10.26740/jetis
Core Subject : Science, Education,
Computer Science & IT Decision Sciences, Operations Research & Management Education Languange, Linguistic, Communication & Media Library & Information Science
JETIS published twice a year, double blind peer-reviewed publication that concentrates on various aspects of Educational Technology, Information System in Education, Pedagogical Innovation, Student Engagement and Outcomes, Information Science and Digital Libraries, Policy and Management, Emerging Technologies and Information System. JETIS mission is to be the leading journal in the field of information systems (IS) education. To achieve this, JETIS prioritizes high-quality and relevant papers. The journal also acknowledges the global influences on IS education and actively seeks international contributions in all areas, including authorship, reviewing, and membership on the Editorial Board. Educational Technology: Topics such as IT integration in the classroom, e-learning platforms, mobile learning applications, and gamification in education. Information Systems in Education: Areas including the development of learning management systems (LMS), educational data mining, cybersecurity, and cloud computing in educational contexts. Pedagogical Innovations: Contributions exploring innovative teaching methods, blended learning models, collaborative learning, and professional development for educators in IT. Student Engagement and Outcomes: Research on the impact of IT on student engagement, motivation, personalized learning environments, and educational outcomes. Information Science and Digital Libraries: Insights into digital libraries, metadata standards, digital preservation, and knowledge management in education. Policy and Management: Topics covering IT policy development, ethical considerations, governance, and management of educational technologies. Emerging Technologies: We invite cutting-edge research in areas like AI, virtual and augmented reality, blockchain, and IoT in education. Information System: Research in enterprise systems, IT governance, software development, AI applications, and IT management.
Arjuna Subject : Ilmu Komputer (semua kategori) - Sistem Informasi
Articles 20 Documents
 1   2 
Implementation of the Stimulus-Organism-Response (S-O-R) Model in Analysing Impulse Buying of Fashion Products on Shopee Live Streaming Shopping Fatasya Suyono; Ghea Sekar Palupi
Journal of Education Technology and Information System Vol. 2 No. 01 (2026): Journal of Education Technology and Information System (JETIS)
Publisher : Universitas Negeri Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26740/jetis.v2i01.38513

Abstract

E-commerce is now an important part of the lives of Indonesians, fuelled by the development of technology and smartphones. Recent studies have identified live streaming as a key trend in e-commerce, with particular reference to its use in increasing interaction between sellers and buyers. The most widely used platform for live streaming shopping is Shopee Live. This research focuses on fashion products, which show high purchase rates through Shopee Live. The change in consumer behaviour, from relying on product descriptions to direct interaction with sellers, raises questions about the factors that drive impulse purchases in this context. The present study has been designed to identify the factors that influence the impulse purchase of fashion products on Shopee Live. To this end, the Stimulus-Organism-Response framework has been adopted. Data was collected through a survey of respondents who had made fashion purchases on Shopee Live. The data were analysed using the PLS-SEM method with SmartPLS 3.0 software. The results showed that the variables of attractiveness, trustworthiness, and expertise have a positive and significant effect on perceived enjoyment, while product usefulness, purchase convenience, and product price have a positive influence on perceived usefulness. In addition, it was found that perceived usefulness and perceived enjoyment contribute significantly to the impulse purchase of fashion products.
Analysis Of SIMRS Implementation Using HOT-Fit Model with SEM-PLS Approach Amrullah Rahman Farisi; Ghea Sekar Palupi
Journal of Education Technology and Information System Vol. 2 No. 01 (2026): Journal of Education Technology and Information System (JETIS)
Publisher : Universitas Negeri Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26740/jetis.v2i01.38562

Abstract

The Hospital Management Information System (SIMRS) is an information and communication technology system that manages and integrates all hospital service processes. The goal of this research is to investigate the impact of human, organizational, and technological factors on net benefits in implementing SIMRS at RSUD dr. Wahidin Sudiro Husodo. This study uses the Human Organization Technology (HOT) Fit information system analysis model consisting of system quality, information quality, service quality, compatibility, self-efficacy, system usage, user satisfaction, organizational structure, organizational environment, and net benefits. This research method uses quantitative analysis based on respondent data, namely SIMRS users at RSUD dr. Wahidin Sudiro Husodo Mojokerto City. The data was then analyzed using the SEM-PLS method and the SmartPLS 4 software. The findings revealed that only organizational structure can significantly impact net benefits directly.
Design and Construction of Certificate Authenticity Verification System Based on ICP Blockchain at Maxy Academy Febrian Daffa Eka Putra; Dwi Fatrianto Suyatno
Journal of Education Technology and Information System Vol. 2 No. 01 (2026): Journal of Education Technology and Information System (JETIS)
Publisher : Universitas Negeri Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26740/jetis.v2i01.41469

Abstract

The falsification of competency certificates has become an increasingly serious issue in the digital era, with significant impacts on the credibility of training institutions and the quality of human resources recruited by companies. Maxy Academy, an institution focused on developing digital competencies through online classes and bootcamps, also faces this risk due to the lack of a proper certificate authenticity verification system. This study aims to develop a certificate verification system based on Internet Computer Protocol (ICP) Blockchain that is secure, decentralized, and tamper-proof. The development method used is Rapid Application Development (RAD), which enables fast system development while actively involving users at every stage. The system developed includes features such as certificate uploading, authenticity verification based on file hash, verification history logging, and authentication using Internet Identity. Testing was conducted using 30 sample data, consisting of 15 genuine certificates and 15 counterfeit certificates, with results showing an accuracy rate of 100% based on the Confusion Matrix method. These results demonstrate that the verification system can accurately distinguish between authentic and fake certificates. With this system, Maxy Academy can enhance industry partner trust and reduce the risk of certificate misuse.
Design of an Android Application for Leaf Disease Detection in Plants Muhammad Nizam Setiawan; Ardhini Warih Utami; Fauzan Nusyura
Journal of Education Technology and Information System Vol. 2 No. 01 (2026): Journal of Education Technology and Information System (JETIS)
Publisher : Universitas Negeri Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26740/jetis.v2i01.42208

Abstract

Agriculture plays a strategic role in Indonesia's economy, with approximately 29,342,202 individual agricultural enterprises recorded in 2023, according to Statistics Indonesia (BPS). Golokan Village, located in Sidayu District, Gresik Regency, is one of the agrarian areas where 23.22% of the population works as farmers, and it has a total agricultural land area of 385 hectares. However, between 2019 and 2023, there was a significant decline in the production of three main commodities: corn decreased from 302.5tons to 275.6tons, tomatoes from 810tons to 585 tons, and cassava from 1,000tons to 832tons. One of the contributing factors is the difficulty in early detection of plant diseases. To address this challenge, this study designed and developed an Android application called AgroAI utilizing deep learning technology, specifically a Convolutional Neural Network (CNN) model based on the MobileNet architecture optimized with TensorFlow Lite for mobile devices. The development was carried out using the Scrum methodology in two sprints. The first sprint included needs analysis, dataset collection, interface design, and model training. The second sprint implemented the core features such as leaf disease detection via camera or gallery, classification results with recommended solutions, analysis history management, educational articles, and user authentication via Firebase. Black box testing confirmed that all features functioned as intended, while model validation achieved an accuracy of 94.74%. This application is expected to enhance farmers' efficiency in crop management and support the sustainability of both local and national agricultural sectors.
Analysis of The Effect of Affordability of Live Streaming Shopping Information Technology On Consumer Buying Interest Rahma Fatiha Tauchid; Ghea Sekar Palupi
Journal of Education Technology and Information System Vol. 2 No. 01 (2026): Journal of Education Technology and Information System (JETIS)
Publisher : Universitas Negeri Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26740/jetis.v2i01.42523

Abstract

The latest innovation from business information technology that is popular until now is live streaming shopping, a new marketing concept that combines live streaming with shopping activities. The birth of this new marketing trend or concept has been adopted by many large platforms, one of which is Shopee. Some business people utilise this platform to promote various products with a more general target. Although it offers many advantages, there are still problems in the use of information technology in this feature. This research was conducted with the aim of analyzing things that can influence consumer buying interest in the shopee live feature when viewed from the IT Affordance aspect with the Structural Equation Modelling-Partial Least Square (SEM-PLS) approach. This study indicates that IT Affordance through live streaming engagement has a positive effect on user purchase intention on the shopee live feature. These findings aim to identify the influence of IT Affordance and provide practical benefits for e-commerce users in order to design technology-based marketing strategies to increase engagement and support product purchase decisions.
Evaluation of Service Quality And User Experience on Livin' By Mandiri Using E-Servqual and Usability Testing Methods Zulvia Arifatul Fadzilah; Dwi Fatrianto Suyatno; Bagas Putra Pradana
Journal of Education Technology and Information System Vol. 2 No. 02 (2026): Journal of Education Technology and Information System (JETIS)
Publisher : Universitas Negeri Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26740/jetis.v2i02.43125

Abstract

Livin’ by Mandiri is application from Bank Mandiri which can accessed and used by customers or candidate Bank Mandiri customers. The number of complaints submitted​ user become challenges that must be faced by the parties Livin’ by Mandiri. Parties Livin’ by Mandiri need to know how expected service​ users and services what needs to be improved and how experience user during use application. To find out matter the done study this is by using method E-Servqual and Usability Testing. Research data taken from user application Livin’ by Mandiri through questionnaires and testing. Data analysis techniques in study this includes, analysis ­gap between perception and expectation users, analysis importance performance analysis, and analysis usability testing using use system usability scale. The results in study this show that all dimensions of E-Servqual is in a negative gap. The SYS1 dimension in importance performance analysis is in quadrant 1, which means it is priority improvements. The results of usability testing show that application easy used however Still there were 0.35 errors during testing. In addition, the time user completing the task is 0.0796 goal/sec. Satisfaction level user is at grade C which means it is still can accepted but needs to be improved.
Public Complaint Text Classification in the Wargaku Application Using Natural Language Processing Alfina Dian Febyani; I Kadek Dwi Nuryana; Nisa Dwi Angresti
Journal of Education Technology and Information System Vol. 2 No. 02 (2026): Journal of Education Technology and Information System (JETIS)
Publisher : Universitas Negeri Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26740/jetis.v2i02.43497

Abstract

The Wargaku application is utilized by Surabaya residents to submit complaints concerning population administration services. With the increasing number of complaints, manual categorization becomes inefficient and susceptible to errors. This research aims to create an automatic classification system utilizing Natural Language Processing (NLP) and machine learning techniques. The dataset comprises 2,303 complaints divided into 18 categories. During preprocessing, text data was converted into numerical form using the Term Frequency–Inverse Document Frequency (TF-IDF) approach. Three machine learning models were tested: Support Vector Machine (SVM), Random Forest (RF), and Neural Network (NN), with evaluations based on accuracy and F1-score. Hyperparameter tuning was applied to enhance model performance. The SVM model yielded the best outcome with a training-to-testing data ratio of 85:15, resulting in a training accuracy of 93.96%, an F1-score of 96.08%, and a testing F1-score of 94.15%. This model was deployed in a web-based application via Streamlit to automatically categorize public complaints. The findings confirm the effectiveness of combining NLP and SVM in improving the efficiency of digital public service systems.
Implementation of SVM and GLDA for Gap Analysis on Mobile JKN Balqis Nur Aura Shaviradilla; I Kadek Dwi Nuryana; Mochamad Nizar Palefi Ma’ady
Journal of Education Technology and Information System Vol. 2 No. 02 (2026): Journal of Education Technology and Information System (JETIS)
Publisher : Universitas Negeri Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26740/jetis.v2i02.43505

Abstract

This study aims to analyze user perceptions of the Mobile JKN application developed by BPJS Kesehatan through sentiment analysis, topic modeling, and service quality gap analysis (SERVQUAL). Sentiment analysis was conducted using the Support Vector Machine (SVM) algorithm with linear and RBF kernels. The classification results, based on an 80:20 data split, indicate that the majority of user reviews express negative sentiment—2,784 reviews using the linear kernel and 2,847 using the RBF kernel—followed by positive and neutral sentiments. These findings suggest a general dissatisfaction among users regarding the application’s performance. Topic modeling was performed using the Guided Latent Dirichlet Allocation (GLDA) method, successfully grouping reviews into five main topics aligned with the SERVQUAL dimensions: tangibles, assurance, empathy, reliability, and responsiveness. The empathy topic appeared most frequently, while responsiveness was the least represented. The GLDA model achieved a coherence score of 0.64 and a UMass score of -1.99, indicating the model’s interpretability and consistency. Finally, the dimension-by-dimension gap analysis revealed that the assurance dimension had the smallest gap (-0.06), while the reliability dimension had the largest gap (-0.74). The overall SERVQUAL gap score was 0.11, highlighting a notable disparity between user expectations and their actual experiences. These results underline the need for targeted improvements in several service aspects of the Mobile JKN application.
Recommendations For Improving Application Services Using Root Cause Analysis Based On User Review Sentiment Analysis (Case Study: Digital Korlantas Polri) Lintang Iqhtiar Dwi Mawarni; I Kadek Dwi Nuryana; Ika Qutsiati Utami; Nisa Dwi Septiyanti
Journal of Education Technology and Information System Vol. 2 No. 02 (2026): Journal of Education Technology and Information System (JETIS)
Publisher : Universitas Negeri Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26740/jetis.v2i02.43514

Abstract

Abstract. Amid the wave of digital transformation, the Digital Korlantas Polri application emerged as a solution and breakthrough in the digital-based SIM (driver's license) issuance process. However, concerns regarding the application’s performance quality remain, one of which can be assessed through user comments on the Google Play Store. A disparity was found between the app’s rating and the content of user reviews, raising questions about the actual quality of the application. This study aims to identify the root causes of user issues with the Digital Korlantas Polri application and generate improvement recommendations based on the identified problems. The research utilizes the pre-trained IndoBERT model for sentiment classification, followed by semi-supervised topic modeling using Guided LDA to uncover hidden patterns in the review data. Furthermore, the pre-trained GPT-2 model is employed as a text generator to produce application improvement recommendations based on the identified issues. Evaluation results show that the sentiment model achieved a confidence score of 0.99, the Guided LDA model reached a coherence score of 0.51, and the GPT-2 model yielded a perplexity value of 1.3. Overall, the models successfully fulfilled their respective roles, enabling more effective and efficient analysis, and generating realistic and timely recommendations for addressing the identified issues
Integration of Visual Educational Media and Collaborative Approaches in Learning Islamic Values in High School Eisnaini Suci Wahyuningrum; Sadam Fajar Shodiq
Journal of Education Technology and Information System Vol. 2 No. 02 (2026): Journal of Education Technology and Information System (JETIS)
Publisher : Universitas Negeri Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26740/jetis.v2i02.50250

Abstract

Abstrak. Penelitian ini dimotivasi oleh tantangan pendidikan modern yang menuntut integrasi antara kemajuan teknologi dan penguatan karakter religius di kalangan siswa SMA. Dalam konteks ini, penggunaan media pendidikan visual interaktif dan penerapan pendekatan kolaboratif dipandang sebagai strategi efektif untuk menumbuhkan pemahaman, empati, dan tanggung jawab siswa terhadap nilai-nilai Islam dalam pembelajaran Pendidikan Agama Islam (PAI). Studi ini bertujuan untuk menganalisis pengaruh integrasi media pendidikan visual dan pendekatan kolaboratif terhadap internalisasi nilai-nilai Islam siswa. Pendekatan kuantitatif dengan metode survei eksploratif digunakan pada 304 siswa SMA yang dipilih melalui teknik pengambilan sampel acak proporsional. Data dianalisis menggunakan model persamaan struktural berbasis Partial Least Squares (SEM-PLS) menggunakan SmartPLS versi 4. Hasil penelitian menunjukkan bahwa media pendidikan visual berpengaruh signifikan terhadap peningkatan pemahaman konseptual dan motivasi religius siswa, sedangkan pendekatan kolaboratif berkontribusi pada penguatan empati, tanggung jawab, dan sikap sosial-religius. Kedua variabel tersebut berinteraksi secara sinergis dalam memperkuat proses internalisasi nilai-nilai Islam kontekstual. Temuan ini menegaskan urgensi inovasi pedagogis berbasis teknologi dan kolaboratif sebagai model pembelajaran PAI yang holistik dan berorientasi pada pembentukan karakter Islami siswa. Kata kunci: Media pendidikan visual, Pendekatan kolaboratif, Nilai-nilai Islam, Pembelajaran PAI, Karakter siswa.

Page 2 of 2 | Total Record : 20

 1   2 

Filter by Year

2025 2026


Reset
Filter By Issues
All Issue Vol. 2 No. 02 (2026): Journal of Education Technology and Information System (JETIS) Vol. 2 No. 01 (2026): Journal of Education Technology and Information System (JETIS) Vol. 1 No. 02 (2025): Journal of Education Technology and Information System (JETIS) Vol. 1 No. 01 (2025): Journal of Education Technology and Information System (JETIS)