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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
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Search results for , issue "Vol. 3 No. 2 (2024): May 2024" : 5 Documents clear
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
Design of Poison Lawn Springer Robot Using Proportional Integral Derivative Algorithm With Remote Control System Scott Palmer; Jacob Wright Miller; Kieran Thomas Thorpe
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.v3i2.828

Abstract

Grass is one of the plants that live on God's earth, even grass is also written in the Koran. Grass is currently also a pest for plants, so sometimes to minimize grass growth, many farmers or people eradicate grass by cutting it and even poisoning the grass. Each method used has its own risk of work accidents, such as using grass poison can experience insecticide poisoning. To anticipate this, a remote control robot was designed to sprinkle automatic grass poison using the PID (Proportional Integral Derivativ) method. The test results using measurements using a multimeter or multitester show that the robot works with a voltage of 11.1 VDC with a 5-12VDC motor with a speed of 3000 rpm and uses a motor gearbox so that it turns into a torque load of 5 Kg. Meanwhile, for control using a bluetooth module with the HC-05 interface type connected to the Android bluetooth system, the maximum distance transmission system is 0 - 10 m. For watering grass, it has 2 scales of watering from the height of the grass, grass with a height of 10 - 15 centimeters using PID 1, which is watered with a voltage of 11.1 VDC delay (t) 1.5s. Grass with a height reaching 20 - 30 using PID 2, watered with a voltage of 14.8 VDC delay (t) 3s. All lawn watering uses a 16 VDC pump motor with 1500 rpm. After the lawn watering system is implemented using the PID method, the P value = 14.56. Value I = 22.08 and value D = 15.5. The conclusion from the design of a grass poison sprinkler robot, namely the robot is able to read the type of tall grass from the ultrasonic sensor, and the robot can be controlled remotely because it uses the HC-05 interface module.
Revolutionary Teaching Approaches: Exploring the Educational Landscape in Pakistan via Outcome-Based Education Lama , Alma Vorfi; Sain, Zohaib Hassan; Dermawan, Oki; Thelma, Chanda Chansa; Agoi, Moses Adeolu
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.v3i2.829

Abstract

Particular emphasis on the Outcome-Based Education (OBE) paradigm, this research aims to investigate the innovative teaching approaches used in Pakistan's educational system. Pakistan is encountering several obstacles to preparing its educational system for the 21st century's demands. As a result, there is a crucial need for innovative methods of instruction. To solve the inadequacies associated with conventional learning methods that rely on memory, transformative pedagogies emphasise student-centred modern ideas and practices. This research investigates the adoption of online learning environments (OBE) in Pakistani schools and its impact on learner participation, critical thinking, and adaptability. The document acknowledges both possibilities and problems, especially about incorporating technology. Some of the constraints include limited resources and cultural expectations. A methodology that utilises many methods, including interviews, observations, and document analysis, was used during an academic year to contribute to the results. The findings of the study indicate that there are a variety of ways in which OBE is implemented, that there is a positive connection between transformational pedagogies and learner engagement, and that there are disparate effects on students at various educational levels. Among the suggestions that have been made in light of the findings are establishing a uniform OBE framework, developing faculty, and including technology. The long-term impacts and the influence of technology and community participation will be the prime focus of study in the future. The findings of this study provide essential insights that may be used to develop a dynamic educational system in Pakistan that can accommodate the demanding requirements of the changing global scene.
Sustainable Development : Challenges and Strategies in South Asia, Spotlighting Pakistani Higher Education Sain, Zohaib Hassan; Nurtina, Sitti; Agoi, Moses Adeolu; Thelma, Chanda Chansa
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.v3i2.830

Abstract

An analysis of the Sustainable Development Goals (SDGs) in South Asian countries, including Bangladesh, Bhutan, India, Maldives, Nepal, Pakistan, and Sri Lanka, highlights the presence of socio-economic and political obstacles. This research examines the challenges that are impeding the accomplishment of Sustainable Development Goals (SDGs), such as poverty (SDG 1), health (SDG 3), education (SDG 4), and economic growth (SDG 8), utilizing data from the World Bank, IMF, WHO, and FAO. The financial facts given highlight the immediate need for significant actions. The report recommends that Developed Countries (DCs) take on a crucial role by allocating at least one per cent of their Gross National Product (GNP) towards development aid. Achieving success in implementing the Sustainable Development Goals (SDGs) requires effective governance and the execution of structural changes. The report advocates for providing development aid from developed countries to underdeveloped countries (UDCs), aiming to foster the exchange of experiences to address common difficulties. The conclusions guide South Asian governments in formulating efficacious economic strategies to achieve the Sustainable Development Goals by 2030. In addition, the study examines 26 papers issued by the Higher Education Commission (HEC) that investigate sustainability in Pakistani Higher Education Institutions. An analysis of this research reveals both advancements and obstacles in pursuing Education for Sustainable Development (ESD). Various stakeholders actively participate in the transformational process, including administrators, leaders, instructors, and students. The examination focuses on governance, communication, coordination, and campus outreach and tackles problems. Aligning with the Sustainable Development Goals (SDGs), prioritizing logistical assistance and excellent education (SDG 4) is crucial. The study is a manual for educators, policymakers, and curriculum creators to promote Sustainable Development, assisting researchers in formulating inquiries for sustainable development objectives.
Modeling Flood Hazards in Ambon City Watersheds: Case Studies of Wai Batu Gantung Rakuasa, Heinrich; Joshua, Benson; Somae, Glendy
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.v3i2.836

Abstract

Flood hazard modeling in watersheds is an important step in natural disaster risk mitigation, especially in vulnerable areas such as Ambon City. This research focused on the Wai Batu Gantung, Wai Batu Gajah, Wai Tomu, Wai Batu Merah, and Wai Ruhu watersheds, using JRC Global Surface Water Mapping Layers data, NASA SRTM Digital Elevation 30 m data, and USGS Landsat 8 Level 2, Collection 2, Tier 1 data analyzed on the Google Earth Engine (GEE) platform. Prediction of built-up land in flood-prone areas was conducted by utilizing flood history analysis, hydrological modeling, and flood zone mapping. The results show that flood hazard modeling provides a better understanding of flood risk, assists in the development of safer land use planning, and increases public awareness of flood risk in Ambon City. It is hoped that the results of this research can contribute to flood risk management and sustainable regional development in the future.

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