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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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Strategic Planning for Student Guidance Information System Design in Tourism Department using Ward and Peppard Framework Yerik Afrianto Singgalen
Journal of Information System and Informatics Vol 5 No 2 (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.v5i2.486

Abstract

This study examines the challenges faced by students during the thesis completion process, including miscommunication, document loss, and difficulty scheduling guidance sessions. To address these issues, Ward and Peppard's method was utilized to design a strategic plan for the Tourism Department at Atma Jaya Catholic University of Indonesia. The research findings reveal that the implementation of the student guidance information system, "SIBIMA," results in an efficient and effective process for student registration, supervisor verification, document upload/download, manuscript correction, and monitoring of student progress. Furthermore, the SWOT analysis, Value Chain, Critical Success Factor (CSF), Porter Five Forces model, and McFarlan Grid Portfolio demonstrate that SIBIMA effectively utilizes strengths to overcome weaknesses and minimize threats.
Machine Learning Approach for Credit Score Predictions Tsholofelo Mokheleli; Tinofirei Museba
Journal of Information System and Informatics Vol 5 No 2 (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.v5i2.487

Abstract

This paper addresses the problem of managing the significant rise in requests for credit products that banking and financial institutions face. The aim is to propose an adaptive, dynamic heterogeneous ensemble credit model that integrates the XGBoost and Support Vector Machine models to improve the accuracy and reliability of risk assessment credit scoring models. The method employs machine learning techniques to recognise patterns and trends from past data to anticipate future occurrences. The proposed approach is compared with existing credit score models to validate its efficacy using five popular evaluation metrics, Accuracy, ROC AUC, Precision, Recall and F1_Score. The paper highlights credit scoring models’ challenges, such as class imbalance, verification latency and concept drift. The results show that the proposed approach outperforms the existing models regarding the evaluation metrics, achieving a balance between predictive accuracy and computational cost. The conclusion emphasises the significance of the proposed approach for the banking and financial sector in developing robust and reliable credit scoring models to evaluate the creditworthiness of their clients.
Leveraging Prototype Method for Designing Tajweed Mobile Based Learning Muhammad Azzam Izzuddin; Andri Andri; Hardiyansyah Hardiyansyah
Journal of Information System and Informatics Vol 5 No 2 (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.v5i2.488

Abstract

In today's fast-paced society, individuals often struggle to find dedicated time for studying the Qur'an. This research aims to address this challenge by designing and developing a Mobile-Based Tajweed Learning Application. By harnessing the power of mobile devices, this application provides users with a platform for independent and accurate Tajweed Science learning. To bridge the gap between developers and users, the Prototype Method is employed in the development process. This collaborative approach offers several benefits, including concept testing, cost and time savings, increased user involvement, iterative improvements, risk reduction, and enhanced communication. By actively involving users throughout the development cycle, the application can better align with their requirements and expectations, leading to an improved end product. The effectiveness and reliability of the mobile-based Tajweed learning application are rigorously validated through black box testing. This thorough testing method ensures that the application functions as intended, delivering a seamless learning experience to users. Furthermore, the application leverages the Flutter framework, enabling optimal performance and responsiveness. The framework's features, such as hot reload, contribute to efficient development and ensure a smooth user experience. The results of the Tajweed Mobile Based Learning project demonstrate that the application effectively provides learning materials and facilitates practice sessions with ease. By utilizing this mobile application, users can access comprehensive Tajweed resources conveniently and independently, overcoming the time constraints often associated with studying the Qur'an. This research showcases the potential of mobile technology to enhance Quranic education and empower individuals in their Tajweed journey.
An IoT-Based Model for Monitoring Plant Growth in Greenhouses Abdool Qaiyum Mohabuth; Devashish Nem
Journal of Information System and Informatics Vol 5 No 2 (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.v5i2.489

Abstract

The unstable climatic conditions are promoting the adoption of smart agriculture. The introduction of IoT technology in the cultivation process allows for the monitoring and control of plant growth through automation. While the traditional greenhouse system is already an upgrade to the traditional cultivation system, it still has room for improvement with the integration of technology. The traditional greenhouse system requires close monitoring of growth rates through manual intervention and can be prone to various hazards. Incorrect interpretations of plant requirements can result in wrong interventions that may severely affect plant growth. It is imperative to have accurate data to maintain the health of plants throughout the cultivation process. IoT plays a predominant role in providing accurate data for constant monitoring of plant growth. The aim of this paper is to present a fully functional greenhouse automation model using microcontrollers, sensors, fans, pumps, and appropriate networking routing technology capable of providing instant data for proper monitoring of plant growth. The presented model includes safety features and can issue alerts in case security measures are breached. The system may even allow users to perform remote monitoring using a web application. Therefore, the proposed model will contribute to enhancing the horticultural industry by increasing output and reducing the need for human intervention.
Sentiment Analysis of Raja Ampat Tourism Destination Using CRISP-DM: SVM, NBC, DT, and k-NN Algorithm Astuti Kusumawicitra Laturiuw; Yerik Afrianto Singgalen
Journal of Information System and Informatics Vol 5 No 2 (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.v5i2.490

Abstract

This study presents a sentiment analysis of tourists' opinions on Raja Ampat Tourism Destination using data mining techniques. The study collected data from Tripadvisor and processed it through sentiment classification. The algorithms used in the analysis were Support Vector Machine, Naive Bayes Classifier, Decision Tree, and k-Nearest Neighbor. The study followed the Cross-Industry Standard for Data Mining methodology and went through several stages such as business and data comprehension, data preparation and cleaning, feature selection, modeling, model evaluation, result presentation, deployment, and maintenance. The study's findings revealed that visitors generally had positive opinions about Raja Ampat's tourism attractions, particularly cultural diversity, and undersea beauty. The Decision Tree algorithm showed the highest accuracy value of 99.12%, precision of 98.96%, recall of 99.34%, AUC of 0.991, and f-measure of 99.13%. SVM also had excellent performance with an accuracy value of 100%, precision of 100%, recall of 100%, AUC of 1.000, and f-measure of 100%. The study concludes that Decision Tree and SVM, with the assistance of SMOTE operators, are the best algorithms for sentiment analysis in this context.
Classification of Explicit Songs Based on Lyrics Using Random Forest Algorithm Luh Kade Devi Dwiyani; I Made Agus Dwi Suarjaya; Ni Kadek Dwi Rusjayanthi
Journal of Information System and Informatics Vol 5 No 2 (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.v5i2.491

Abstract

This study focuses on the potential negative impact of explicit songs on children and adolescents. Although an explicit song labeling program is currently in place, its coverage is limited to songs released by artists affiliated with the Recording Industry Association of America (RIAA). Consequently, songs falling outside the program's scope remain inadequately labeled. To address this issue, a machine learning model was developed to effectively classify explicit songs and mitigate mislabeling challenges. A comprehensive dataset of song lyrics was collected using web scraping techniques for the purpose of constructing the classification model. The model was trained using the TF-IDF vectorization method and the random forest algorithm. A meticulous comparison of distribution parameters was conducted between the training and testing data sets to determine the optimal model. This superior model achieved a training-testing data distribution ratio of 90:10, with an impressive accuracy of 96.3%, precision of 99.3%, recall of 93.5%, and an f1-score of 96.3%. The classification results revealed that explicit songs accounted for 39.22% of the dataset, and the visual representation highlighted the fluctuating prevalence of explicit songs over time. Additionally, the hip-hop/rap genre exhibited the highest proportion of explicit songs, reaching a staggering 92%.
Leveraging COBIT 2019 Framework to Implement IT Governance in Business Process Outsourcing Company Melissa Indah Fianty; Maximillian Brian
Journal of Information System and Informatics Vol 5 No 2 (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.v5i2.492

Abstract

The company specializes in delivering information and technology services to businesses operating in the same industry. Recognizing the pivotal role of information technology in achieving its vision, mission, and goals, the company emphasizes the proper implementation of IT governance to drive overall company success. To evaluate the management of IT resources, the study employs the COBIT-2019 framework for measurement. The data collection approach encompasses interviews, questionnaires, observation, and document analysis. The findings indicate that most IT governance processes currently operate at level 2 capability. However, the company aspires to reach level 3 for these processes. Consequently, recommendations are proposed to enhance these processes based on the best practices outlined in COBIT-2019. Key suggestions include implementing performance measurements and facilitating access to knowledge repositories to foster skill and competency development.
Design of A Security System with Mobile Notifications in Case of Intrusion Yanogo Kiswendsida Jean Hermann; Gerald Yirga; Nabolle Rachid Gaetan; Kabore Baowendnere Tanguy
Journal of Information System and Informatics Vol 5 No 2 (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.v5i2.493

Abstract

Physical security is a crucial aspect of cybersecurity, considering the constant risk of unauthorized intrusions and data theft that companies face. While conventional security measures like alarm systems and video surveillance aim to protect physical infrastructure, they often fall short of meeting businesses' actual requirements. It is vital for companies to have immediate awareness of intrusions and the ability to respond promptly. To tackle this challenge, the recommended approach involves implementing an alert security system that offers real-time notifications. This method entails deploying an Internet of Things (IoT) system equipped with sensors throughout the company's premises. These sensors are specifically designed to detect unauthorized entry, triggering instant alerts to the appropriate personnel via a dedicated mobile application. This application enables seamless communication with the IoT system, enabling swift decision-making in response to potential security breaches. In this research, the initial emphasis was on designing the system using Unified Modeling Language (UML) diagrams. Subsequently, the IoT system was implemented, integrating the necessary sensors. Additionally, a user-friendly application was developed to establish a secure connection between the company's system and employees' mobile devices. Through extensive research efforts, an effective and functional system capable of effectively safeguarding businesses has been successfully devised.
Analysis of IT Performance on Management HR of Equity Firm Using COBIT 5 Mochammad Herdin Adi Syahputra; Rudi Sutomo
Journal of Information System and Informatics Vol 5 No 2 (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.v5i2.494

Abstract

An Indonesian equity company is involved in project management for the construction of mechanical systems and the development of electrical and chemical waste treatment systems. With a strong emphasis on continuous improvement and customer satisfaction, the company is dedicated to enhancing its services. However, additional human resources are needed, particularly in the IT field, to align with the business objectives that have not yet been achieved. Despite establishing a minimum requirement of ten years of work experience, the study employs the COBIT 5 framework to evaluate the competency levels in IT governance. The analysis reveals four crucial domains: APO01 (Managing the IT Management Framework), APO07 (Human Resource Management), APO12 (Assessing and Managing Risks), and EDM04 (Ensuring Resource Optimization). It is evident that both EDM04 and APO01 are currently at level 1 and have not reached the desired level. Furthermore, APO07 and APO12 are at level 2 and still need to progress towards their ideal targets. Although Human Resource Management has performed satisfactorily, there is room for improvement in the upcoming year to further enhance its performance.
Implementing Website-Based School Information Systems in Public Elementary Schools Using Waterfall Model Fauzan Asrin; Geby Vici Utami
Journal of Information System and Informatics Vol 5 No 2 (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.v5i2.495

Abstract

This research focuses on implementing a web-based school information system at SDN 14 Pontianak City, a renowned public elementary school with a rich historical background. The study aims to address challenges related to ineffective internal information delivery within the school. Currently, reliance on group chats for school-related activities poses obstacles in efficiently disseminating crucial information, including new student registration, extracurricular activities, competition achievements, vision and mission statements, and important updates. To overcome these challenges, a website-based school information system is proposed. It aims to seamlessly deliver essential school-related information to a wider audience, including parents and prospective parents. The system ensures easy access to information that was previously confined to the school's internal environment. The research employs the structured development process of the waterfall model, utilizing context diagrams, data flow diagrams (DFD), and entity relation diagrams (ERD) for a well-defined system design. Rigorous testing using the black box approach ensures website functionality and reliability. Implementation of this web-based school information system is expected to substantially improve information dissemination, benefiting the entire school community by providing convenient access to vital information for parents and prospective parents. This improvement will foster enhanced communication and engagement within the school ecosystem.

Page 23 of 66 | Total Record : 653

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