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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 6 Documents
 1 
Search results for , issue "vol. 2 no. 2 (2025)" : 6 Documents clear
Positional Accuracy Measurement: Prototype Geographic Information System for Banyumas Regency Tourism Priyono, Putra Aditya; Qalban, Anas Azhimi; Salma, Azora Sania
Transactions on Informatics and Data Science Vol. 2 No. 2 (2025)
Publisher : Department of Informatics, Faculty of Da'wah, UIN Saizu Purwokerto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24090/tids.v2i2.13874

Abstract

Banyumas Regency has high tourism potential, both in terms of nature, culinary, and culture. This study aims to assess the accuracy of geographic positioning (longitude and latitude) in a web-based Geographic Information System (GIS) to ensure the accurate and reliable presentation of tourist destination location data. Accurate spatial data is essential for planning, navigation, promotion, and improving visitor experiences through enhanced digital mapping and integrated tourism development strategies. The method used is prototyping, which allows the initial system development to be tested and refined based on the results of accuracy measurements. The system was developed using the Google Maps API and the PHP programming language and integrated with a GPS device to obtain real-time coordinates. Testing was conducted by comparing the field coordinates with digital map data to identify positional deviations. Analysis was carried out spatially using the Positional Accuracy Tolerance approach to improve the accuracy of the maps visualized in the Tourism Geographic Information System. The results of the study indicate the need for recalibration at several location points to improve the system's precision. This GIS is expected to provide valid location information for tourists in planning their tourism trips.
Predicting SPAD Values in Sri Lankan Paddy Rice Fields using UAV-based Vegetation Indices Fonseka, Ishani; Hewagamage, K.P.; Rathnayake, Upul; Bandara, R.M.U. S; Halloluwa, Thilina
Transactions on Informatics and Data Science Vol. 2 No. 2 (2025)
Publisher : Department of Informatics, Faculty of Da'wah, UIN Saizu Purwokerto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24090/tids.v2i2.14980

Abstract

In Sri Lanka, the overuse of fertilizers by farmers leads to financial losses and environmental concerns. Due to the high cost and limited availability of SPAD equipment, UAV-based imagery presents a practical and cost-effective alternative for monitoring nitrogen levels in crops. This study evaluates the use of UAV-based multispectral imagery to assess the nitrogen status of rice crops and compares various vegetation indices with SPAD readings. Focusing on the BG300 rice variety. several vegetation indices were compared with SPAD readings using a Linear Regression (LR) model. Among them, NDVI showed the strongest correlation (R = 0.81106), confirming its reliability as an indicator of nitrogen status. This approach offers a cost-effective solution for Sri Lanka’s rice farming sector, aiding farmers in making more informed decisions to reduce fertilizer use and mitigate environmental impacts
Mitigating the Cost Amplification of Platform Defaults in Lean Cloud Data Deployments Through Configuration Hygiene Manuel O. Diaz
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.v2i2.14737

Abstract

Cloud data platforms offer flexibility, but their default configurations are implicitly optimized for enterprise-scale environments, leading to hidden, disproportionate costs for small-scale deployments. This paper introduces the concept of a silent tax, where platform defaults, such as minimum billing durations and over-provisioned column types, disproportionately inflate costs for small business organisations with modest compute budgets, exemplified by a 10 IPU per month scenario. These defaults act as regressive cost drivers, penalizing users unable to amortize inefficiencies. We employ an analytical cost-modelling and Monte Carlo simulation approach, using Snowflake and Informatica Intelligent Data Management Cloud (IDMC) as reference platforms, and validate it through a paired, parametric Monte Carlo experiment using truncated normal and lognormal distributions. Our findings indicate that fixed-cost components embedded in these defaults can consume approximately 65% of a minimal budget. Key mechanisms include 60-second warehouse billing minimums, schema-driven memory over-allocation, and CI/CD pipeline reconfiguration costs. The study demonstrates that cost waste in minimal deployments is predominantly structural. An optimization pathway focusing on configuration hygiene—including explicit data types, aggressive warehouse tuning, and schema-as-code—can reclaim over 80% of this overhead, aligning with FinOps guidance for small estates. This research addresses a gap in cloud cost governance, empowering small teams to leverage cost intelligence for sustainability, and suggests transparent disclosure of default cost impacts by providers.
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.

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