cover
Article Per Year (5 Year)
All
Home Page
OAI Link
Editorial Team
Contact
Reviewer
Google Scholar
Contact Name
Warto
Contact Email
warto@uinsaizu.ac.id
Phone
+6281327567868
Journal Mail Official
tids@uinsaizu.ac.id
Editorial Address
Fakultas Saintek UIN Saizu Jl. M.T. Haryono, Karangsentul, Padamara, Purbalingga, Jawa Tengah - 53372
Location
Kab. banyumas,
Jawa tengah
INDONESIA
Transaction on Informatics and Data Science
Published by Universitas Islam Negeri Profesor Kiai Haji Saifuddin Zuhri Purwokerto
ISSN : -     EISSN : 30641772     DOI : https://doi.org/10.24090/tids
Core Subject : Science, Engineering,
Computer Science & IT Decision Sciences, Operations Research & Management Engineering
Transactions on Informatics and Data Science (TIDS), with ISSN: 3064-1772 (online), is a scientific journal that publishes the latest research in the fields of informatics and data science, focusing on both theoretical advances and practical applications. Published by the Department of Informatics, Universitas Islam Negeri Prof. K.H. Saifuddin Zuhri Purwokerto, Purwokerto, this journal serves as a platform for researchers, academics, and practitioners to share new ideas and innovations in data science, artificial intelligence, natural language processing, cloud computing, and information technology applications across various domains. It promotes collaboration and deep knowledge exchange within the scientific community, bridging the gap between theory and practice in the rapidly evolving fields of informatics and data science. Aims Transaction on Informatics and Data Science aims to advance the frontiers of informatics and data science knowledge by publishing high-quality research that encompasses theoretical advancements and practical applications. The journal seeks to contribute significantly to the understanding and developing of innovative approaches, methodologies, and technologies in these domains. Scopes The scope of "Transaction on Informatics and Data Science" covers a wide range of topics related to informatics and data science, including but not limited to: - Data analysis and mining - Artificial intelligence and machine learning - Natural language processing and understanding - Cloud computing and big data technologies - Information retrieval and knowledge management - Data-driven decision-making and predictive modelling - Internet of Things (IoT) and data analytics - Cybersecurity and privacy in data science - Informatics and data science applications in various healthcare, finance, education, and other domains. The journal welcomes original research articles, reviews, case studies, and technical notes that contribute significantly to advancing knowledge and practice in informatics and data science. Submissions should demonstrate novelty, tightness, and relevance to the rapidly evolving landscape of information technology and data-driven decision-making processes.
Arjuna Subject : Ilmu Komputer (semua kategori) - Aplikasi Ilmu Komputer
Articles 25 Documents
 1   2   3 
Prediction of Etawa Goat Productivity using Decision Tree Algorithm and Optimized with Particle Swarm Optimization Muhamad Nasim; Purwanto; Catur Supriyanto
Transactions on Informatics and Data Science Vol. 3 No. 1 (2026)
Publisher : Department of Informatics, Faculty of Science and Technology, UIN Prof. K.H. Saifuddin Zuhri, Purbalingga, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24090/tids.v3i1.15934

Abstract

The productivity of Etawa goats is influenced by various factors, including physical condition, environment, and care provided. This study proposes a Decision Tree (DT) algorithm optimized using Particle Swarm Optimization (PSO) to more accurately predict Etawa goat productivity. A case study was conducted at the "Bang Usman" farm in Pekalongan Regency, Central Java, Indonesia, using secondary data collected from January to December 2015. The dataset comprises 500 samples with 13 attributes, including goat age, body weight, body height, housing condition, feeding accuracy, feed type, reproductive cycle, daily milk production, ear type, horn shape, coat color, forehead shape, and mating calendar. Predicting productivity is a critical data-mining technique for measuring success in agricultural industries. The standard Decision Tree achieved an accuracy of 92.60%. By integrating PSO for attribute selection and parameter optimization, the PSO-DT model demonstrates measurable improvements: accuracy increased by 1.20%, precision by 3.04%, and recall by 0.68%. The model also identifies the eight most influential attributes to support farm decision-making. This research contributes a validated PSO-DT model that outperforms standard DT, offering practical value for livestock management and serving as a reference for future studies on optimization algorithms in agricultural productivity prediction in Indonesia.
Influence of Usability of Digital Population Identity Application on User Satisfaction at Dukcapil Sleman, Yogyakarta, Indonesia Prisccillia Titis Kristy Ningrum; Rahmat Rian Hidayat; Arum Marwati; Anas Azhimi Qalban
Transactions on Informatics and Data Science Vol. 3 No. 1 (2026)
Publisher : Department of Informatics, Faculty of Science and Technology, UIN Prof. K.H. Saifuddin Zuhri, Purbalingga, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24090/tids.v3i1.16222

Abstract

Sleman Regency recorded the highest activation rate of the Digital Population Identity (IKD) application in the Special Region of Yogyakarta at 13.07% as of February 2025. However, user complaints regarding system obstacles and complex activation processes persist on digital platforms. This study aims to determine how the usability dimensions of learnability, efficiency, memorability, and error handling influence user satisfaction at the Sleman Population and Civil Registration Agency (Dukcapil). Using a quantitative causal-associative approach, data were collected from 100 respondents through simple random sampling. A structured questionnaire of 32 items using a 5-point Likert Scale was distributed via Google Forms. Multiple linear regression analysis was employed to identify the specific influence of each usability dimension. Validity was assessed using the Pearson Product-Moment correlation, and reliability was confirmed using Cronbach's Alpha. The results indicate that usability dimensions significantly affect user satisfaction, with an F-value of 13.945 exceeding the F-table of 2.47, and a total contribution of 37% based on the coefficient of determination. Despite high satisfaction among digital natives, the study reveals critical areas for improvement in memorability and error aspects. Developers should prioritize optimizing server performance and simplifying the interface to minimize user errors and enhance inclusive satisfaction across all demographics.
Strengthening Community Digital Transformation in the New Normal Era Dandi Yohananda Saputra Utama; Mustika Ningrum; Ranto Siswanto
Transactions on Informatics and Data Science Vol. 2 No. 2 (2025)
Publisher : Department of Informatics, Faculty of Science and Technology, UIN Prof. K.H. Saifuddin Zuhri, Purbalingga, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24090/tids.v2i2.16357

Abstract

The Community Service Program (PKM) aims to improve digital literacy and accelerate digital transformation in the new normal by strengthening the capacity of village officials and community members to effectively use digital technology in their daily activities. The program was implemented in 2022 in Wanasari Village, through participatory, educational, and practical approaches that actively involved local stakeholders throughout the implementation process. The program consisted of several stages, including preparation, needs assessment, socialization, hands-on training, mentoring, and evaluation to ensure that participants acquired both theoretical knowledge and practical digital skills. The activities focused on optimizing digital-based public services, introducing collaboration applications to support work, education, and communication, and improving village administrative management through simple digital systems. During the mentoring phase, participants received continuous guidance to enhance their confidence and ability to apply digital tools in real-life situations. The results indicated a significant improvement in participants' understanding and competence in using digital technologies. Village officials became more capable of delivering efficient and transparent administrative services, while community members successfully adopted digital collaboration platforms for communication and productivity. Village administrative records became more organized and accessible through digital management. The program contributed positively to sustainable community digital transformation and strengthened digital readiness for future development.
Optimizing Information Technology in Hybrid Education Al Qoyim; Muawan Bisri; Ranto Siswanto
Transactions on Informatics and Data Science Vol. 2 No. 2 (2025)
Publisher : Department of Informatics, Faculty of Science and Technology, UIN Prof. K.H. Saifuddin Zuhri, Purbalingga, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24090/tids.v2i2.16450

Abstract

The community service program aims to optimize the use of information technology by developing and implementing a web-based sales management system for Micro, Small, and Medium Enterprises (MSMEs). The program addresses the primary challenge partners face: the continued use of manual, unstructured record-keeping methods, which often make it difficult to manage transactions, monitor inventory, prepare sales reports, and make business decisions based on accurate data. The implementation method consisted of several stages, including an initial survey, needs analysis, system design and development, user training, mentoring, system implementation, and evaluation. The web-based system was designed to simplify daily business operations by integrating sales transactions, inventory management, customer data, and financial reporting into a single platform. Training and mentoring activities were conducted to ensure that MSME actors could operate the system effectively and independently. The results demonstrated that the developed system significantly improved operational efficiency, reduced recording errors, enhanced data accuracy, and simplified the preparation of sales reports. Furthermore, participants showed increased digital literacy and greater confidence in adopting information technology to support business activities. Overall, this program provides an effective technological solution that promotes sustainable digital transformation and improves the competitiveness and productivity of MSMEs in the digital era.
The Utilization of Digital Collaboration Technologies for Enhancing Work Productivity Didik Setiadi; Ribut Julianto; Ranto Siswanto
Transactions on Informatics and Data Science Vol. 2 No. 2 (2025)
Publisher : Department of Informatics, Faculty of Science and Technology, UIN Prof. K.H. Saifuddin Zuhri, Purbalingga, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24090/tids.v2i2.16527

Abstract

The Student Creativity Program (PKM) entitled Utilization of Collaboration Technology for Work Productivity aims to improve public understanding and skills in utilizing digital technology, especially during the transition from the COVID-19 pandemic to a hybrid work system. This program was implemented in Wanasari Village, Cibitung, targeting students and entry-level workers who need digital competencies to support academic and professional activities. The implementation methods included preparation, training, mentoring, evaluation, and reporting stages. The training focused on the utilization of collaboration tools such as Google Workspace and the implementation of digital-based work management practices. Participants were trained through practical sessions and guidance to improve their ability to manage documents, communicate, share information, and collaborate effectively using digital platforms. The results showed increased understanding and skills in using collaboration technology, improved digital teamwork capabilities, and the development of more efficient and productive work patterns. Although challenges such as limited internet access and different levels of digital literacy were encountered, the program was successfully conducted and achieved its objectives. Overall, this program provides a positive contribution to enhancing digital readiness, supporting work productivity, and preparing the community for an increasingly digitalized work environment today.

Page 3 of 3 | Total Record : 25

 1   2   3 

Filter by Year

2024 2026


Reset
Filter By Issues
All Issue Vol. 3 No. 1 (2026) Vol. 2 No. 2 (2025) Vol. 2 No. 1 (2025) Vol. 1 No. 2 (2024) Vol. 1 No. 1 (2024)