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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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Designing A Web-Based Employee Payment Information System For The Nutritional Culture And Tourism Office M irsyan antony manday, Irsyanmanday; Amanda Putri, Raissa
Journal of Information Systems and Technology Research Vol. 2 No. 3 (2023): September 2023
Publisher : Ali Institute or Research and Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55537/jistr.v2i3.608

Abstract

Employees were previously paid directly by people and. Now. Employee payments are made instantly. The world of labor is also affected by technology advancements, which can move quite quickly.Time makes it possible for humans to do their work quickly in general. Today, a lot of businesses use technology to expedite work. Payroll information system that can help with data processing payroll for better management of payroll computations, pay stubs, and necessary reports. Based on these issues, research was done to learn the specifications needed to create an employee payroll information system for the plan. This design's outcome isemployee payroll was digitized using a web-based information system. This system was created to facilitate and minimize the company's performance in processing payroll data. processes used to calculate employee salaries. The Culture Department continues to prepare payroll reports manually, and there are still numerous challenges involved. So, in order to construct a based application, this is required. The website makes use of MySQL to make employees' job more productive. Additionally, this method enforces absenteeism for workers, and if they are ill while on leave or without notice, their pay will be withheld in accordance with the guidelines of the North Sumatra culture and tourism agency.
Mass Media Target Audience and Mental Illness Stigmatization among Students of Kenya Medical Training College Maina, Kamau; Riany, Kenneth Riany
Journal of Information Systems and Technology Research Vol. 2 No. 3 (2023): September 2023
Publisher : Ali Institute or Research and Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55537/jistr.v2i3.663

Abstract

Mass media plays a fundamental role in influencing the society and their perceptions in daily life. The target audience by the media determines the how they frame their message and the subject matter that they focus on in their discussions. As mental illness is becoming one of the contemporary issues in the modern society, the role of mass media particularly how they define their target audience is not adequately explored. This is despite mental illness continuing to ravage the society, especially with the increased stigmatization. This study therefore sought to examine the how mass media target audience impact mental illness stigmatization in among students in Kenya Medical Training College. The study was anchored on the cognitive dissonance theory.  Using a descriptive research approach, the study through a questionnaire surveyed 384 students drawn from a population of 51045 students at the college. The data was analysed using descriptive and inferential statistics through SPSS. The findings revealed that mass media target audience through the reduced dissonance, acquisition of new information and cognitive actions significantly impacted the mental illness stigmatization. Through the beliefs towards the mentally ill persons as projected by the mass media to their target audience, the stigmatization of mentally ill persons either increased or decreased depending on the approach used by the mass media. The study concluded that mass media target audience was instrumental in determining the level of stigmatization of the mentally ill persons. It is therefore recommended that the mass media should define their target audience in a manner that positively changes their perceptions towards mental illness.
A Call for Responsibility: Social Media and the Need to Monitor Hate Speech and Fake News for Global Peace Darban, karim; Kabbaj, Smail
Journal of Information Systems and Technology Research Vol. 2 No. 3 (2023): September 2023
Publisher : Ali Institute or Research and Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

This paper explores the pivotal role of social media in fostering peace and examines responsible monitoring practices to counteract hate speech and fake news propagation. Leveraging an interdisciplinary approach, our research method entailed case studies and  a systematic review of existing literature encompassing studies on social media's impact on public opinion, the spread of misinformation, and successful instances of peace promotion through online platforms. Our findings indicate that while social media has the potential to facilitate peacebuilding, the challenges posed by hate speech and misinformation persist. We elucidate the crucial role of artificial intelligence (AI) and human moderation in identifying and mitigating harmful content, underscoring the need for transparent algorithms, human oversight, and continual evaluation. This paper also highlights successful case studies where social media has been instrumental in bridging divides and promoting dialogue. We contend that by addressing these challenges and implementing responsible monitoring strategies, social media should contribute to a more peaceful and inclusive online environment.
Spatial Analysis of Landscape Suitability of Ambon City for Settlement Using Geographic Information System Rakuasa, Heinrich; C Latue, Philia
Journal of Information Systems and Technology Research Vol. 2 No. 3 (2023): September 2023
Publisher : Ali Institute or Research and Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55537/jistr.v2i3.696

Abstract

This study analyzes the suitability of Ambon city landscape for settlement development purposes. This research utilizes spatial analysis to evaluate the characteristics of the terrain shape and Land Use Territory (WTU) in the context of settlement suitability. This research uses DEM (Digital Elevation Model) to generate slope and elevation or altitude which is later used to create terrain shape map and business land area map . these studies involve the collection and integration of landscape data, such as topography, land use, vegetation, and other environmental factors. Then, spatial analysis methods are used to assess the suitability of the landscape for settlement by considering factors such as accessibility, availability of essential services, and potential environmental impacts.Making landscape suitability using the weighted sum overlay method. The results showed that the landscape in Ambon City that is suitable for settlement development is 30,456.94 ha and the unsuitable one has an area of 16,890.38 ha. The results of this study provide insight into the most suitable locations for settlements based on physical and environmental factors. The results of this study are expected to support sustainable urban planning in Ambon by considering aspects of landscape suitability.
Customer Relationship Management as a Firm-level Factor and its role in Firm Performance: A Study on the Firms Listed at Nairobi Securities Exchange Ndungu Machiri, Samuel; Oloko, Margaret; Karanja Ngugi, John; Odhiambo, Romanus
Journal of Information Systems and Technology Research Vol. 3 No. 1 (2024): January 2024
Publisher : Ali Institute or Research and Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55537/jistr.v3i1.713

Abstract

The study sought to examine the relationship between customer relationship management and performance of firms listed at Nairobi Securities Exchange. While the listed firms remain integral in the country’s economy, their continued performance has been declining over the years. This has seen some of the firms get delisted and others suspended from trading due to subsequent years of loss-making. Customer relationship management on the other hand has been found to be instrumental in determining the performance of modern firms, in the midst of growing competition and dynamic operating environment. The motivation of this study was therefore the limited literature on the relationship between customer relationship management and performance of listed firms. The study utilized a descriptive-exploratory research design, where 240 senior management personnel drawn from the 64 listed firms were surveyed using a structured questionnaire. The data was analysed using SPSS and Amos software for descriptive statistics, regression model and structural equation modelling respectively. The findings revealed that customer relationship management had a significant influence on the performance of firms listed at the NSE (R2 = .265; β = 0.353; P=0.0001<0.05). It was therefore concluded that customer relationship management as a frim-level factor is instrumental in determining the performance of the listed firms at the NSE. The study recommended the need for the management of the listed firms to be at the forefront of pushing for enhanced customer relationship management so as to strengthen the firms performance.
Outgoing Letter Approval System at Class I Climatology Stations in North Sumatra Using the Prototype Method Irwan Gunawan; Fadilla Maharani Putri; Armansyah
Journal of Information Systems and Technology Research Vol. 3 No. 1 (2024): January 2024
Publisher : Ali Institute or Research and Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55537/jistr.v3i1.719

Abstract

The mechanism for outgoing correspondence at the North Sumatra Class I Climatology Station is through the approval of the Verifier and Kasklim. The system runs in approving outgoing letters, still going through the traditional process where the Verifier and Kasklim must go through directly in the room. This research aims to develop the intended outgoing letter approval application, to increase the effectiveness and efficiency of outgoing letter approval. This research is development research using the System Development Life Cycle (SDLC) approach and the prototype method which refers to data obtained from interviews with several letter operators at the North Sumatra Class I Climatology Station. Based on testing the system using a black box and evaluating the application by the staff concerned, it was concluded that the application was relevant to needs and could be implemented. This study also provides a basis for further research in optimizing similar systems in the context of climatology stations or other fields that require effective management of outgoing mail approvals.
Low-Cost CCTV for Home Security With Face Detection Base on IoT Pane, Muhammad Akbar Syahbana; Saleh, Khairul; Prayogi, Andi; Dian, Rahmad; Siregar, Ratu Mutiara; Aris Sugianto, Raden
Journal of Information Systems and Technology Research Vol. 3 No. 1 (2024): January 2024
Publisher : Ali Institute or Research and Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55537/jistr.v3i1.769

Abstract

Monitoring is a necessary part of Home surveillance that can be done through the internet network as a security measure. Many CCTV cameras on the market today continue to employ analog and conventional technology, specifically coaxial wire. As a result, extra expenditures for CCTV system wiring are required; besides being more expensive, the installation takes more handling, as the picture data cable and control signal cable cannot be merged. This project aims to develop a security system capable of detecting object movement in real-time utilizing a webcam camera attached to a raspberry pi. The findings of this study enable the development of a low-cost CCTV system that can be monitored remotely via the Internet of Things.
The Game-Changing Impact of AI Chatbots on Education ChatGPT and Beyond Vasudevan, Asokan; Vorfi Lama, Alma; Sain, Zohaib Hassan
Journal of Information Systems and Technology Research Vol. 3 No. 1 (2024): January 2024
Publisher : Ali Institute or Research and Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55537/jistr.v3i1.770

Abstract

ChatGPT, an AI-driven chatbot, delivers coherent and valuable responses by analysing extensive data sets. This article explores the profound impact of ChatGPT on contemporary education, as discussed by prominent academics, scientists, distinguished researchers, and engineers. The study delves into ChatGPT's capabilities, its application in the education sector, and the identification of potential concerns and challenges. Initial assessments reveal variations in ChatGPT's performance across diverse subjects, including finance, coding, mathematics, and general public queries. While ChatGPT can assist educators by generating instructional content, providing suggestions, serving as an online educator for learners, answering questions and revolutionising education through smartphones and IoT devices, it has shortcomings. These include the risk of generating inaccurate or false information and evading plagiarism detection systems, a critical concern for maintaining originality. The commonly reported "hallucinations" in Generative AI, which applies to ChatGPT, also limit its utility in situations where precision is paramount. A notable deficiency in ChatGPT is the absence of a stochastic measure to facilitate authentic and empathetic communication with users. The article suggests that educational institutions' academic regulations and evaluation practices should be updated if ChatGPT is integrated into the educational toolkit. To effectively navigate the transformative effects of ChatGPT in the learning environment, it is imperative to educate teachers and students about its capabilities and limitations.
Rethinking Pedagogy in the Digital Age: Analyzing the Effectiveness of E-Learning Strategies in Higher Education Sain, Zohaib Hassan; Baskara, Risang; Vorfi Lama, Alma
Journal of Information Systems and Technology Research Vol. 3 No. 1 (2024): January 2024
Publisher : Ali Institute or Research and Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55537/jistr.v3i1.772

Abstract

This paper delves into the multifaceted challenges posed by the intersection of infrastructure, education, and technology integration in the context of enriching the learning experience. Rather than displacing educators, technology is positioned as a valuable tool to augment learning, necessitating a nuanced approach. Universities are confronted with the complexities of E-Learning, prompting the adaptation of course structures to accommodate diverse educational needs. Consequently, educators adjust teaching styles, leading to heightened workloads that demand proactive management. The impact of E-Learning extends beyond individual classrooms, challenging traditional university frameworks and compelling institutions to reconsider physical facilities and lecture-centric methodologies. Anticipated benefits of E-Learning must be balanced with a thorough evaluation of its implications. Despite the widespread adoption of technology, some implementations need to be more actively engaging learners, functioning more as content repositories than dynamic learning environments. This underscores the importance of establishing a robust pedagogical foundation when embracing E-Learning, ensuring that technology aligns with, rather than supersedes, student progress and engagement objectives.
Pre-Review Convolutional Neural Network for Detecting Object in Image Comprehensive Survey and Analysis Gonten, Fidelis; Nfwan, Fidelis; Ya’u Gital, Abdulsalam
Journal of Information Systems and Technology Research Vol. 3 No. 2 (2024): May 2024
Publisher : Ali Institute or Research and Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55537/jistr.v3i2.799

Abstract

The Convolutional neural network (CNN) has significantly exposed a great performances and growing desire in the field of image processing within the research community, through relevant innovations in object detection by magnificent capacity in transfer learning and feature learning. With the advancement of CNN in object detection, huge amount of data is process with great speed. In respect to CNN, object detection has greatly advanced and become popular in the research community, security experts, traffic experts, and remote sensing community etc. In this review, comprehensive study of various CNN architecture for object detection in images based on conventional approached, novelty, and achievement were analysed in details. Therefore, it is an important review on how to achieve high performance in object detection via CNN. We first introduced the basic idea on CNN models and their improvement in detecting object. Secondly, we review CNN and its variant such as, ResNet, VGG, GoogleNet and other CNN architectures. Thirdly, we mention some performance metrics used for object detection. Lastly, we analyse some main contribution of CNN algorithm with their remarkable achievement and further analyse the challenge and its future direction

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