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INDONESIA
Journal of Information Systems and Informatics
Published by Asosiasi Doktor Sistem Informasi Indonesia
ISSN : 26565935     EISSN : 26564882     DOI : 10.63158/journalisi
Core Subject : Science,
Computer Science & IT
Journal-ISI is a scientific article journal that is the result of ideas, great and original thoughts about the latest research and technological developments covering the fields of information systems, information technology, informatics engineering, and computer science, and industrial engineering which is summarized in one publisher. Journal-ISI became one of the means for researchers to publish their great works published two times in one year, namely in March and September with e-ISSN: 2656-4882 and p-ISSN: 2656-5935.
Arjuna Subject : -
Articles 653 Documents
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User Requirements in Enterprise Resource Planning Systems Adoption: A Case of Botswana’s Higher Institutions Moya, Lingani; Chukwuere, Joshua
Journal of Information System and Informatics Vol 5 No 4 (2023): Journal of Information Systems and Informatics
Publisher : Universitas Bina Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51519/journalisi.v5i4.612

Abstract

ERP systems are the largest software applications adopted by universities, along with quite significant investments in their implementation. However, unlike other applications, limited research has been conducted regarding the application of this system in higher education in Botswana. This study aims to identify user requirements in the adoption of enterprise resource planning (ERP) systems in Botswana’s higher education institutions. This study was conducted in three higher education institutions in Botswana. This study adopted the quantitative methodology of using surveys to understand ERP adoption in higher education and proposed a model that could be used to guide business information systems requirements to appropriate ERP systems in a higher educational environment. Based on the findings, the study proposed a conceptual model of ERP system adoption in higher education institutions using six success dimensions. The six success dimensions are user requirements, user satisfaction, information quality, service quality, institutional impact, system quality, and faculty/management impact. Only information quality was rejected from the model. The six success dimensions are the basis through which a higher education institution can understand user requirements in implementing an effective ERP.
Classification of Tomato Ripeness Based on Convolutional Neural Network Methods Ayunda, Nur Azizah; Haryatmi, Emy; Riyadi, Tri Agus
Journal of Information System and Informatics Vol 5 No 4 (2023): Journal of Information Systems and Informatics
Publisher : Universitas Bina Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51519/journalisi.v5i4.613

Abstract

Sorting system for tomato is one of the important things to deploy to achieve better quality of tomato. Nowadays, many sorting system is done manually and this could spend a lot of time and become inefficient. One method can be implemented in the sorting system by using Convolutional Neural Network (CNN) method to classify the ripeness of tomatoes. The objective of this research is to classify the ripeness of tomatoes based on the color of tomatoes. There are three categories of color level such as green for raw tomato, turning for half-ripe tomato and red for ripe tomato. Research methodology of this research is data collection, data pre-processing and image maintenance, CNN model, and training data. The image used in this research are 1148 images. These images were taken manually using smartphone camera in outdoor environment. These images were used to build CNN model. The results of this research show that by testing 10 images of tomatoes achieved raw tomatoes close to 90%, ripe tomatoes close to 90% and half-ripe tomatoes close to 80%. Based on the results, CNN can be used as a good alternative in image classification tasks.
Measuring the Benefits of the Skill Academy’s Online Training Platform Putro, Endi; Averil, Juditha
Journal of Information System and Informatics Vol 5 No 4 (2023): Journal of Information Systems and Informatics
Publisher : Universitas Bina Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51519/journalisi.v5i4.614

Abstract

The research purpose is to prove the truth of an internal survey of 96,406 users of the Academy Skills platform. The results of the survey stated that after participating in the training the user felt an increase in skills. Verification of the correctness of the survey uses a combination of the Delone and McClean (DM) models and the Technology-to-Performance Chain (TPC) model which has 5 constructs: System quality, information quality, service quality, task-Technology Fit, and Net Benefit. The method used in this study is a quantitative method through the development of identified constructs. Quantitative data was obtained from a questionnaire distributed to 96 respondents using the Skill Academy platform. The result of this study is that the constructs of system quality, information quality, and service quality have a positive effect on task-technology fit, and the task-technology fit construct has a positive effect on net benefits. In other words, the skills academy platform has quality systems, information, and services that allow tasks to be accommodated so that the impact is beneficial for users.
Innovating Information Management System for Cow's Milk Distributor Sutanto, Yusuf; Al Amin, Budi; Setyadi, Heribertus Ary
Journal of Information System and Informatics Vol 5 No 4 (2023): Journal of Information Systems and Informatics
Publisher : Universitas Bina Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51519/journalisi.v5i4.615

Abstract

This study explores the recent advancements in cattle farming, focusing on the significant role of dairy farming in bolstering the economy, particularly in rural communities. It highlights how dairy farming enhances the economic value for farmers, with an emphasis on Banyuanyar Boyolali, where residents predominantly engage in this practice. The research underscores the profitability of selling cow's milk, noting the local milk prices, and aims to develop a web-based milk data management system. This system seeks to bring transparency and accessibility to milk production data, benefiting both farmers and collectors. Utilizing the Rapid Application Development (RAD) method, which involves minimal personnel, the study demonstrates how this web-based system streamlines data entry and access, facilitating better record-keeping and decision-making in dairy farming.
Understanding the Influence of Cybercrime Law Absence on Cyberbullying in Higher Institutions of Learning: A Case of the International University of Management Iileka, Albertina; Kamati, Etuna; Nyalugwe, Symon Fumu
Journal of Information System and Informatics Vol 5 No 4 (2023): Journal of Information Systems and Informatics
Publisher : Universitas Bina Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51519/journalisi.v5i4.619

Abstract

Cyberbullying is a serious problem that can have a significant negative impact on victims, including depression, anxiety, low self-esteem, and even suicidal thoughts. The absence of cybercrime laws can make it difficult to prosecute cyberbullying cases, which can contribute to the problem. The purpose of this study was to understand the influence of the absence of a cybercrime law on cyberbullying in higher institutions of learning. The study focused on the International University of Management (IUM) in Namibia. The study used mixed methods research design. Data was collected through an online questionnaire comprising both quantitative and qualitative questions. The link to the questionnaire was shared with students, as well as academic and administrative staff at IUM. The study found that the absence of a cybercrime law contributes to the problem of cyberbullying in IUM. The study also found that that there are a number of factors that contribute to cyberbullying in IUM, such as the use of social media, the anonymity that the internet provides, and the lack of awareness of cyberbullying among students and staff. The findings of the study have implications for policymakers, educators, and parents. Policymakers need to enact cybercrime laws to help prevent and prosecute cyberbullying cases. Educators need to educate students about cyberbullying and how to deal with it. Parents need to talk to their children about cyberbullying and monitor their online activity.
Design of Additional Safety Locks for Motor Vehicles Using RFID Setiawan, Herri; Tasmi, Tasmi; Dhamayanti, Dhamayanti
Journal of Information System and Informatics Vol 5 No 4 (2023): Journal of Information Systems and Informatics
Publisher : Universitas Bina Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51519/journalisi.v5i4.620

Abstract

Indonesia, facing the dual challenges of rapid economic development and rising vehicle theft rates due to economic inequalities, has prompted a need for innovative security solutions in the automotive sector. This research aims to address this growing concern by introducing a sophisticated motor vehicle security system utilizing Radio Frequency Identification (RFID) technology. The proposed system employs RFID keys, which use ID tag cards as unique identifiers to activate motor vehicles. The methodology centers around the integration of RFID technology with a microcontroller, creating a security system that is both advanced and user-friendly. This system includes an alarm feature that is triggered when an ID tag card not registered with the vehicle's RFID is used, providing an additional layer of security against unauthorized access. The results of implementing this system have been promising. Testing revealed that the RFID locks, when combined with the microcontroller, effectively recognized authorized ID tag cards and successfully denied access when unauthorized cards were used. The alarm system also functioned as intended, activating when discrepancies in ID tag data were detected. This integration of RFID with a microcontroller not only enhanced the security of motor vehicles but also contributed to a significant reduction in vehicle thefts in the community, showcasing the potential of RFID technology as a viable solution to the prevalent issue of vehicle security in Indonesia.
Towards Sustainable Smart Living: Cloud-Based IoT Solutions for Home Automation Etuk, Ubong E; Omenaru, Gabriel; Inyang, Saviour Joshua; Umoren, Imeh
Journal of Information System and Informatics Vol 5 No 4 (2023): Journal of Information Systems and Informatics
Publisher : Universitas Bina Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51519/journalisi.v5i4.621

Abstract

In recent times, the realm of home automation systems has garnered significant attention, thanks to the ever-evolving landscape of communication technology. The concept of a smart home, essentially an application of the Internet of Things (IoT), leverages the power of the internet to oversee and employ household appliances through a sophisticated automation infrastructure. Nevertheless, challenges persist within the existing home automation systems, such as constrained wireless transmission reach, a deficiency in backup power management, and the substantial financial outlay involved. Addressing these limitations, our study introduces an economical and resilient solution that combines cloud based IoT with an uninterrupted power management system, making a cutting-edge home automation prototype. This system relies on a microcontroller unit, specifically the ESP-32, which functions as a Wi-Fi-enabled gateway for connecting a variety of sensors and transmitting their data to the Blynk IoT cloud server. The data assembled from a multitude of sensors, including vibration sensors and voltage detectors, becomes readily accessible on users' devices, be it smartphones or laptops, irrespective of their geographical location. The system is further strengthened by a set of relays that link the ESP-32 with household appliances, allowing for centralized control. Structurally, the design uses a control box that can be seamlessly integrated into a real home environment, offering the means to both monitor and govern an array of household devices. This IoT-based home automation solution not only efficiently manages internet-connected appliances but also provides an effective emergency power management system, enabling remote initiation and deactivation of backup generators. It represents a innovative leap in the evolution of home automation systems, steering in convenience, efficiency, and cost-effectiveness.
Analysis of Vegetation Changes Using Satellite Imagery and Normalized Difference Vegetation Index (NDVI): A Case Study in Tuntang District, Semarang District Wirawan, Samuel Tommy Cadalora; Chernovita, Hanna Prillysca
Journal of Information System and Informatics Vol 5 No 4 (2023): Journal of Information Systems and Informatics
Publisher : Universitas Bina Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51519/journalisi.v5i4.622

Abstract

Changes in land use from agriculture to residential and industry continue to occur in Tuntang District, and analysis is needed to identify areas experiencing the most significant changes. Development growth triggered by an increase in population can cause significant changes, such as the conversion of land from forests to agricultural land or plantations, as well as from agricultural land to residential and industrial areas. To monitor land changes, Remote Sensing is used as an effective tool. This method allows data analysis without direct contact with the object being studied. The use of Landsat-8 imagery, as a remote sensing tool, can help identify variations in vegetation. Analysis using the Normalized Difference Vegetation Index (NDVI) calculation method can provide information about the level of vegetation density in the area. The research results show significant changes in vegetation density in Tuntang District from 2019 to 2022. This change is believed to be related to the increase in population, which may be a driving force for several areas to experience development and changes in land function.
Land-Use Land-Cover Change Detection Using Geospatial Techniques in Zalingei, Central Darfur, Sudan Ahmed, Hussin Omer; Kheiry, Manal Awad; Yasin, Emad H. E.
Journal of Information System and Informatics Vol 5 No 4 (2023): Journal of Information Systems and Informatics
Publisher : Universitas Bina Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51519/journalisi.v5i4.624

Abstract

Using remote sensing for land use and land cover (LULC) is essential for systems that help people make decisions because it gives valuable information about space and time. A study was conducted in Zalingei, Sudan, to analyze the changes in LULC over 30 years from 1991 to 2021 using multi-temporal Landsat images. Thematic Mapper (TM) and Operational Land Imager (OLI) were classified using the supervised classification method. The pictures were divided into four groups based on how the land was used: residential areas, bodies of water, vegetation cover, and bare land. Results showed that the residential area increased by 20.74% while the water body increased by 2.32%. However, the vegetation cover decreased by 0.7%, and bare land decreased by 22.37%. The changes were caused by people, which shows how vital good land management practices and involvement from the local community are for reducing LULC change. So, to reduce LULC change in the study area, proper land management practices and active participation from the local community are needed. The study concluded that remote sensing technology is an effective tool for assessing and mapping land use and land cover changes and providing valuable information for decision support systems.
Machine Learning Approach for Classification of Sickle Cell Anemia in Teenagers Based on Bayesian Network Ekong, Blessing; Ekong, Otuekong; Silas, Abasiama; Edet, Anthony Effiong; William, Bright
Journal of Information System and Informatics Vol 5 No 4 (2023): Journal of Information Systems and Informatics
Publisher : Universitas Bina Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51519/journalisi.v5i4.629

Abstract

In this study, we employed a Bayesian network approach for the classification of sickle cell anemia in teenagers based on their medical data. Sickle cell anemia is a hereditary blood disorder characterized by the presence of abnormal hemoglobin, leading to distorted red blood cells. Early detection and classification of this condition are crucial for timely intervention and improved patient outcomes. Our research focused on leveraging the algorithmic power of Bayesian network to model and analyze a diverse set of medical parameters in teenagers, including age, platelet count, mean corpuscular hemoglobin concentration (MCHC), red blood cell count, packed cell volume etc. The Bayesian network method employed for the classification of sickle cell anemia involves using a probabilistic graphical model to represent the relationships among different medical parameters. The model incorporates Bayesian principles to update and refine its predictions as new information is introduced. The method identifies key features in the dataset that contribute significantly to the classification, providing valuable insights for early detection and intervention. The Bayesian network demonstrated remarkable efficacy in accurately classifying teenagers as either positive for sickle cell anemia or negative, achieving an impressive 99% accuracy rate. This high level of accuracy indicates the robustness of the model in discerning intricate patterns within the medical data. Key features contributing to the classification are found in the dataset, shedding light on their relevance in distinguishing between positive and negative cases of sickle cell anemia, especially in teenagers. Our findings provide valuable insights into the potential diagnostic significance of sickle cell anemia classification in the teenage population. This research contributes to the growing body of knowledge in the field of medical informatics and computational biology, offering an efficient and reliable tool for healthcare practitioners in the early identification of sickle cell anemia in teenagers. The demonstrated accuracy of the Bayesian network shows its potential as an effective decision support system, aiding clinicians in making informed decisions and facilitating timely interventions for improved patient care.

Page 30 of 66 | Total Record : 653

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