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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 74 Documents
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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.
Prioritizing Educational Media for the Golden Age: A PROMETHEE-Based Analysis of Multiple Intelligences Aprilia, Rima; Sari, Rina Filia; Panjaitan, Dedy Juliandri; Fayed, Heba A.; Husna, Wilia
Journal of Information Systems and Technology Research Vol. 4 No. 2 (2025): May 2025
Publisher : Ali Institute or Research and Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55537/jistr.v4i02.1126

Abstract

The golden age is a critical period in a child’s development, spanning from ages 0 to 8, during which learning ability, sensory functions, and emotional potential grow rapidly. At this stage, selecting appropriate educational media is crucial to optimally support the child’s multiple intelligences. In the golden age, the development of a child's memory during this period was excellent. Those at this age have the ability and enthusiasm to learn and the nature of high curiosity. This is one of the reasons for the need to optimize attention during that time. The selection of diverse educational media can determine the success factor in Conducting an analysis of the child's abilities. In this study, the research team will show how to make decisions in the selection of children's educational media by analyzing cognitive, sensory, and emotional potential using the Promethee method. This study aims to determine the most effective educational media for developing cognitive, sensory, emotional, and potential aspects of early childhood using the PROMETHEE method (Preference Ranking Organization Method for Enrichment Evaluation). PROMETHEE is a multi-criteria decision-making (MCDM) approach that helps prioritize alternatives based on predefined evaluation criteria. PROMETHEE in the last 5 years has been rarely used in the selection of educational media for early childhood in analyzing cognitive, sensory, and emotional potential. One of the methods that is often used in the selection of educational media is the ICT method. The research was conducted qualitatively in several regions of North Sumatra, involving parents of young children as key informants. The educational media analyzed included storybooks, puzzles, building blocks, and physical e-books. The response from early childhood to the sample of educational media provided is very diverse. This is based on the criteria tested on the sample. It was found that on average each sample given gave a good response to the child. Each sample given affects the testing criteria, be it cognitive, sensory, potential analysis, or children's emotions. The findings reveal that each media type influences child development differently, with physical e-books receiving the highest preference rankings. These results provide valuable insights for parents and educators in selecting educational tools that best support the optimal development of children's multiple intelligences.
TOPSIS Method In Determining The Best Package Transportation Route A. Hamdallah, Taymour; Badri, Mohammad; Caesaendra, Wahyu; Pribadi, Antoni; Handika Siregar, Yustria; Annisa S, Tasya
Journal of Information Systems and Technology Research Vol. 4 No. 2 (2025): May 2025
Publisher : Ali Institute or Research and Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55537/jistr.v4i02.1127

Abstract

The urgent need for product transportation services during the ongoing pandemic has prompted companies to organize transportation processes effectively to ensure customers are well served. The increase in demand for goods transportation services has been driven by the pandemic, as it has necessitated social distancing and adherence to health protocols. Traditionally, transportation services rely on distance calculation technologies to determine the best route for delivering packages, which may reduce transportation efficiency. One example is the delivery service at J&T Sidamukti drop point by PT Tiki Lintas. This research aims to provide an overview of the steps involved in using the TOPSIS (Technique for Order of Preference by Similarity to Ideal Solution) method to determine the optimal transportation route for package delivery. The use of the TOPSIS method in this study aims to improve the efficiency of transportation time by evaluating and comparing different delivery routes based on multiple criteria. Through this approach, the study intends to highlight how optimal decision-making processes can enhance the efficiency of goods transportation in a challenging context like the pandemic. The research also seeks to offer practical solutions that can be applied to similar transportation challenges, thereby contributing to the overall improvement of delivery systems. Ultimately, the findings of this study are expected to provide valuable insights into the application of decision-making models in transportation route planning, particularly in the current context of limited movement and physical distancing.
Application of Bio-Inspired Particle Swarm Optimization Algorithm for Production Scheduling Optimization Yuniarthe, Yodhi; Purnomo, Rosyana Fitria; Sari, Resy Anggun; Dirayati, Fadhilah; Hartanto, M Budi
Journal of Information Systems and Technology Research Vol. 4 No. 2 (2025): May 2025
Publisher : Ali Institute or Research and Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55537/jistr.v4i02.1132

Abstract

Production scheduling is a fundamental aspect of manufacturing systems that significantly affects operational efficiency, resource allocation, and delivery performance. Traditional scheduling methods often struggle to solve complex, dynamic scheduling problems, resulting in suboptimal job sequencing and increased makespan. This research aims to develop a hybrid optimization algorithm by integrating Particle Swarm Optimization (PSO) and Genetic Algorithm (GA) to address inefficiencies in job shop scheduling. The proposed hybrid PSO-GA method leverages the global exploration ability of PSO and the local refinement strength of GA. The algorithm was tested on several benchmark datasets using performance metrics such as makespan, tardiness, and machine utilization. Experimental results demonstrate that the hybrid approach achieved a 12.7% improvement over standard PSO and a 15.4% improvement over GA in terms of makespan. The convergence curve also showed stable and faster optimization. These findings confirm that the hybrid PSO-GA model provides a more effective and robust solution for complex production scheduling and has strong potential for real-time application in Industry 4.0 environments
Assessing Palm Plant Health through Color Analysis of Leaves Using MATLAB-Based Digital Image Processing Pane, Muhammad Akbar Syahbana; Saleh, Khairul; Satia Simbolon, Hasanal Fachri; Wilhelm Weber, Gerhard; Ehkan, Phaklen; Warip, Mohd Nazri
Journal of Information Systems and Technology Research Vol. 4 No. 2 (2025): May 2025
Publisher : Ali Institute or Research and Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55537/jistr.v4i02.1133

Abstract

The health of oil palm plants can be visually assessed through changes in leaf color, which reflect the plant's physiological condition. Leaf color serves as a critical, non-destructive indicator for evaluating plant health. This study aims to develop an innovative method for detecting oil palm leaf health using MATLAB-based digital image processing techniques. The process begins with leaf image acquisition, followed by pre-processing to enhance image quality, and then color space conversion from RGB to HSV. The analysis focuses on the Hue and Saturation components, which represent the leaf's color tone and intensity. Two sample images—healthy and unhealthy leaves—are compared. The results demonstrate that healthy leaves exhibit higher average Hue and Saturation values compared to unhealthy ones, providing a key parameter for automated leaf condition classification. This study introduces a cost-effective system adaptable for small-scale farmers' plantations, offering an effective, efficient, and economical solution. This approach shows significant potential for implementation in automated plant health monitoring systems and further development for precision agriculture, particularly in oil palm plantations, to enhance productivity and sustainability in modern agriculture.
Digitalization of Rural Water Management: Android-Based Billing for Community Systems using the ADDIE model Nurfiah, Nurfiah; Dinilhak, Afdhal; Khairi, Luthfil; Satria, Budy; Hadi Wijaya, Anggi; Dwi Asti, Ajeng; Rahman, Arifan
Journal of Information Systems and Technology Research Vol. 4 No. 2 (2025): May 2025
Publisher : Ali Institute or Research and Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55537/jistr.v4i02.1135

Abstract

The integration of information technology in everyday life has changed the way people work, learn, socialize, make transactions, and make decisions. The use of Android-based smartphones is a real example of the use of technology. Android, which is open-source, has encouraged the development of applications widely according to need. Access to water is a fundamental human right. PAMSIMAS is a flagship program of the regional and central governments that seeks to meet water needs through the provision of clean water services in line with the Sustainable Development Goals (SDGs). In Durian Seribu Village, PAMSIMAS is a service to meet the water needs of the community and become a solution for rural communities to get clean water at low cost, but its management is still manual, such as recording water usage and billing, so it is inefficient, time-consuming, and prone to errors. From these problems, this study proposes the development and implementation of an Android application designed to simplify the recording and billing process for the PAMSIMAS program in Durian Seribu Village. This application aims to simplify management, increase data transparency, and simplify reporting. The results of tests that have been carried out using the black box method show that this application can facilitate officers in recording and billing payments for PAMSIMAS water usage. Officers only need to enter the total water usage, and the application will automatically calculate and print a receipt as proof of payment. Officers also do not need to calculate manually when reporting the total payment to the administrator. For administrators, this application makes it easier to monitor and evaluate the performance of recording officers. After the application was used for recording and billing, PAMSIMAS's revenue increased by around 30% from the revenue before using the application.
Quantum-Enhanced Magnetic Induction Tomography for Spatial Resolution and Sensitivity Improvements in Non-Invasive Medical Imaging Lubis, Abdul Jabbar; Aulia, Rachmat; Diansyah, T. Mohd; Nasir, N. F. Mohd; Zakaria, Z; Daulay, Aqsha Adity
Journal of Information Systems and Technology Research Vol. 4 No. 3 (2025): September 2025
Publisher : Ali Institute or Research and Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55537/jistr.v4i3.1163

Abstract

Traditional Magnetic Induction Tomography (MIT) systems demonstrate limited spatial resolution and detection sensitivity when analyzing complex conductivity distributions in biological tissues. This research investigates the integration of Nitrogen-Vacancy (NV) centers in diamond substrates to overcome these fundamental limitations. The primary objectives include: (1) developing a quantum-enhanced MIT system with superior magnetic field detection capabilities, (2) quantifying performance improvements in spatial resolution and sensitivity compared to conventional approaches, (3) validating system effectiveness through controlled phantom studies and biological tissue analysis, and (4) establishing technological foundations for next-generation medical imaging applications. This study presents the first comprehensive implementation of quantum sensing technology in tomographic imaging applications. Novel contributions include: development of an integrated NV-center based magnetic field detection system, achievement of 0.8 mm minimum detectable feature size representing 3.5-fold resolution enhancement, demonstration of 0.01 S/m conductivity detection threshold showing 10-fold sensitivity improvement, and validation of 62% reconstruction error reduction with 28% structural similarity enhancement. The quantum-enhanced approach establishes new paradigms for early disease detection and precision medicine applications, providing unprecedented imaging capabilities for medical diagnostics, material characterization, and geophysical exploration. Results demonstrate transformative potential for clinical implementation with 95% sensitivity and 92% specificity in detecting sub-millimeter tissue anomalies

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