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Journal of Information Systems and Technology Research
Published by Ali Institute of Research and Publication
ISSN : 28283864     EISSN : 28282973     DOI : https://doi.org/10.55537/jistr
Core Subject : Science, Engineering,
Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering
JISTR is a periodical journal that aims to provide scientific literature, especially applied research studies in information systems (IS) / information technology (IT), and an overview of the development of theories, methods, and applied sciences related to these subjects Focus and Scope Artificial intelligence Autonomous reasoning Bio-inspired algorithms Bio-informatics Cloud computing Data science Data mining Data visualization Decision support systems Deep learning Evolutionary computation Fuzzy logic Human-Computer Interaction Hybrid intelligent systems, Adaptation and Learning Systems IoT and smart environments Knowledge mining Machine learning Neural networks Pattern recognition Soft computing Prediction systems Signal and image processing System modeling and optimization Time series prediction Web intelligence
Arjuna Subject : Ilmu Komputer (semua kategori) - Ilmu Komputer (Lain-Lain)
Articles 5 Documents
 1 
Search results for , issue "Vol. 4 No. 1 (2025): January 2025" : 5 Documents clear
The Future of Self-Service Technologies: Understanding User Intentions in Guyana Sarran, Dave
Journal of Information Systems and Technology Research Vol. 4 No. 1 (2025): January 2025
Publisher : Ali Institute or Research and Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55537/jistr.v3i3.911

Abstract

Self-service technologies (SSTs) are playing a crucial role in the advancement of both developed and developing economies. These technologies, including automated teller machines (ATMs) and self-service kiosks, offer organizations more accessibility and efficiency. However, the successful implementation and deployment of SSTs, particularly in developing countries, is a complex and demanding task. Understanding the determinants of their adoption is therefore crucial. This study examines the determinants of citizens' willingness to utilize self-service technology, focusing specifically on self-service kiosks in Guyana. This study develops a conceptual model extending TAM with three additional predictor variables: Resistance to Change, Technology Anxiety, and User Interface. The data were collected through an online survey from 350 Guyanese citizens, and Partial Least Squares Structural Equation Modeling (PLS-SEM) was employed for testing and validating the model. The findings indicate that Resistance to Change, Technology Anxiety, and User Interface have significant impacts on Perceived Ease of Use. Additionally, Technology Anxiety was identified as a predictor of Resistance to Change. Perceived Ease of Use was a significant predictor of Perceived Usefulness, and Perceived Usefulness and Perceived Ease of Use were significant predictors of Attitude Toward Use. Finally, Attitude Toward Use was a predictor of intention to use self-service kiosks. By providing insights into the determinants of citizens' uptake of self-service technology in Guyana, the current study provides valuable suggestions for practitioners on how to design and implement successful public self-service systems.
Sustainability and Ethics in Information Systems Yuniana Cahyaningrum
Journal of Information Systems and Technology Research Vol. 4 No. 1 (2025): January 2025
Publisher : Ali Institute or Research and Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55537/jistr.v4i01.913

Abstract

In the ever-evolving digital era, the role of information systems (IS) is not only limited to improving business efficiency, but also to contributing to sustainability and social ethics. This study explores the integration of sustainability and ethics concepts in the development and implementation of information systems. With increasing concerns about the environmental impact of information and communication technologies, as well as ethical issues related to data privacy, algorithmic bias, and cybersecurity, it is important for developers and stakeholders to consider these aspects at every stage of the information system life cycle. This study analyzes the approaches taken by organizations in integrating sustainability and ethics principles into their IS strategies, and evaluates their impact on organizational sustainability and social responsibility. The results show that the adoption of ethical and sustainable IS not only improves the company's reputation but also provides added value through operational efficiency and risk reduction. Thus, the implementation of sustainable and ethical IS practices is key to creating long-term competitive advantage and maintaining a balance between technological advancement and social responsibility. Implementing ethical and sustainable information systems not only provides conceptual benefits such as transparency, privacy protection, and fairness, but also strategic benefits such as positive reputation, cost efficiency, and regulatory compliance. Conversely, not using the right methodology in developing information systems can result in a lack of standardization, project management errors, and significant security risks. Therefore, it is important for organizations to implement ethical, sustainable systems that are supported by structured methodologies.
Analysis Of Promethee Methods On Assistance Recipients Family Of Hope Program In Poor People Hendrik Koto, Muhammad; Riansah, Wahyu
Journal of Information Systems and Technology Research Vol. 4 No. 1 (2025): January 2025
Publisher : Ali Institute or Research and Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55537/jistr.v4i01.1003

Abstract

The Family of Hope Program (PKH) managed by the Ternate City Social Service is a critical social assistance initiative aimed at reducing poverty and improving the welfare of underprivileged families. However, the program's implementation is not optimal due to the lack of a systematic approach in the selection of beneficiaries. Currently, the process relies on manual home visits and subjective visual assessments, which are time-consuming and prone to inaccuracies. This research aims to develop a decision support system (DSS) that utilizes the Promethee method to enhance the objectivity and efficiency of the beneficiary selection process. The Promethee method was chosen for its ability to rank alternatives based on multiple criteria, making it suitable for handling complex decision-making scenarios. Four criteria—age, marital status, education, and disability—were used to evaluate and prioritize potential beneficiaries. This research involved data collection from the Ternate City Social Service, followed by system design and analysis using the Promethee approach. The findings indicate that the Promethee-based DSS provides a structured and transparent mechanism for evaluating candidates, enabling the Social Service to make more accurate and equitable decisions. This system significantly reduces the time required for the selection process while improving its reliability. The study concludes that integrating the Promethee method into the Family of Hope Program can address existing inefficiencies and support the Social Service in achieving its goal of targeted poverty alleviation
Efficient Route Planning in Northeast Thailand Using a Random Shuffle Enhanced 2-opt Algorithm Sarawan, Kamthorn; Khumla, Pornsiri
Journal of Information Systems and Technology Research Vol. 4 No. 1 (2025): January 2025
Publisher : Ali Institute or Research and Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55537/jistr.v4i01.1017

Abstract

This research presents a detailed comparative analysis of algorithms designed to solve the Traveling Salesman Problem (TSP) within the Northeast region of Thailand, encompassing 20 provinces. The study evaluates the performance of several heuristic algorithms, including Nearest Neighbor, Farthest Insertion, traditional 2-opt, and a novel variant termed 2-optRS, which integrates a random shuffle mechanism. The primary aim is to minimize the total travel distance while considering the computational trade-offs of these algorithms. Authentic distance data between provinces were sourced from Google Maps to ensure accuracy and relevance to real-world applications. The study addresses the dual challenge of computational efficiency and solution quality, emphasizing the practical implications of algorithmic enhancements in route optimization. Among the tested algorithms, 2-optRS exhibited superior performance, achieving a notable reduction of approximately 158.6 km in travel distance compared to the traditional 2-opt algorithm. However, this improvement came at the expense of significantly increased processing time, highlighting the inherent trade-offs between computational demands and optimization benefits. By focusing on the Northeast region, which is poised for significant development through frameworks like the Greater Mekong Subregion (GMS) and Lancang-Mekong Cooperation (LMC), this research provides valuable insights for optimizing logistical networks in this rapidly growing area. The findings underscore the potential of advanced heuristic methods to enhance decision-making in regional transportation planning, contributing to the broader advancement of TSP optimization methodologies.
Measuring Soil Moisture in Real-Time: Arduino Uno Based Tool Innovation Pane, Muhammad Akbar Syahbana; Saleh, Khairul
Journal of Information Systems and Technology Research Vol. 4 No. 1 (2025): January 2025
Publisher : Ali Institute or Research and Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55537/jistr.v4i01.1035

Abstract

Humidity measurement is vital across various sectors, such as agriculture, meteorology, industry, and households, where accurate monitoring ensures product quality, environmental stability, and process efficiency. Over time, humidity measurement technologies have evolved significantly, transitioning from basic evaporation-based methods to advanced electronic sensors like capacitive and resistive sensors, which offer real-time accuracy. Hygrometers and moisture meters are key devices in this field, with hygrometers measuring air humidity and moisture meters assessing water content in materials like soil, wood, and grains. Their integration with automation systems further enhances operational efficiency and simplifies environmental monitoring. Despite these advancements, challenges persist, including the need for higher accuracy, adaptability to diverse environments, and cost reduction. Research and development continue to tackle these issues, driving innovation toward more reliable, user-friendly, and affordable solutions. This article reviews the latest advancements in humidity measurement technologies, highlights the challenges faced, and explores future innovations that promise to enhance the accuracy and efficiency of these devices. Such progress is crucial for sustainability and improved performance in fields dependent on precise humidity data, ultimately supporting better decision-making and resource management.

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