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Journal of Computer Science and Informatics Engineering
Published by Ali Institute of Research and Publication
ISSN : -     EISSN : 28278356     DOI : -
Core Subject : Science,
Computer Science & IT
Artificial Intelligence Machine Learning Natural Language Processing Computer Vision Text Speech Text Mining Data mining Cryptography Data visualization Expert System Deep Learning Fuzzy Logic IoT and smart environments Neural Networks Pattern Recognition Image Processing Optimization Digital Signal Processing Networking Technology Web intelligence
Arjuna Subject : Ilmu Komputer (semua kategori) - Ilmu Komputer (Lain-Lain)
Articles 96 Documents
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Beach Tourism Destination Recommendation System in Padang City Using the ROC-MOORA Method Feriantano Sundang Pranata; Yuke Permata Lisna; Retnaningtyas Susanti
Journal of Computer Science and Informatics Engineering Vol 4 No 3 (2025): July
Publisher : Ali Institute of Research and Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55537/cosie.v4i3.1216

Abstract

Padang City's tourism sector has great potential, but there is no data-based destination recommendation system for beach tourism. This study develops a recommendation system using the Rank Order Centroid (ROC) and Multi-Objective Optimization on the basis of Ratio Analysis (MOORA) methods. The system evaluates 10 alternative beaches based on five criteria: entrance fees, safety, operating hours, facilities, and cleanliness. Criteria weights are determined objectively using ROC, while destination rankings are calculated using MOORA. The results show that destination A4 obtained the highest score (Yi = 0.3015). This system is proven to be able to provide objective recommendations and can be implemented in the form of a web application to support the decisions of tourists and destination managers. This study contributes to the integration of the ROC-MOORA method in the tourism domain based on decision support systems.
Sentiment Analysis of Triv Application Reviews using Support Vector Machine Algorithm Megawan, Sunario; Gohzali, Hernawati; Halim, Ferry; Ramadhan, Harry; Sitepu, Desy Okatvia
Journal of Computer Science and Informatics Engineering Vol 4 No 3 (2025): July
Publisher : Ali Institute of Research and Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55537/cosie.v4i3.1223

Abstract

The growing popularity of the Triv application as a cryptocurrency transaction platform in Indonesia has generated various user reviews that reflect perceptions of service quality. This study focuses on exploring user opinions through sentiment analysis techniques employing a classification approach based on the Support Vector Machine (SVM) algorithm. The data, sourced from user reviews on the Google Play Store, is analyzed through a series of systematic stages, including sentiment labeling, text preprocessing, feature extraction, model construction, and performance evaluation of the resulting classifier. The experimental results show that SVM can accurately identify sentiment polarity, achieving an accuracy rate of 96%. These findings highlight the potential of machine learning approaches in understanding user perceptions of digital financial applications.
Analysis of Shopee Adoption as a Medium for Tuition Payment at Universitas Mikroskil Using the UTAUT 3 Model Saragih, Yuni Marlina; Ginting, Tri Wulandari; Elly
Journal of Computer Science and Informatics Engineering Vol 4 No 3 (2025): July
Publisher : Ali Institute of Research and Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55537/cosie.v4i3.1229

Abstract

The development of technology and information is progressing rapidly, encompassing all aspects of life. One aspect that has developed from technological and information advances is education, for example, digital tuition payments. At Universitas Mikroskil, tuition payments can be made using an electronic payment system, namely through the Blibli website/app. Since September 29, 2022, Universitas Mikroskil announced the addition of a tuition payment application, namely the Shopee application. This electronic tuition payment is expected to make it easier for students to fulfill their responsibilities. However, no test has ever been conducted regarding student acceptance of the Shopee application, specifically for tuition payments. Therefore, the purpose of this study is to test student acceptance of the Shopee application for tuition payments using the UTAUT 3 model. The test was conducted using the PLS-SEM statistical analysis method with a total of 186 respondents. The results show that the personal innovation variable in IT has a positive and significant effect on utilization intention, the habit variable has a positive and significant effect on utilization intention, and a positive and significant effect on usage intention. The utilization intention variable has a positive and significant effect on usage intention. The results of this study are expected to help Universitas Mikroskil in making decisions on selecting a better tuition payment application.
NutriWise Mobile App Design for Daily Nutrition Recommendations Based on User Preference Mar’atullatifah, Yulaikha; Mahmudah, Himmatunnisak; Prasetyo, Deni; Fauzi, Muhammad Anwar; Tamtomo, Agatha Pricilia Sekar
Journal of Computer Science and Informatics Engineering Vol 4 No 3 (2025): July
Publisher : Ali Institute of Research and Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55537/cosie.v4i3.1236

Abstract

Nutritional imbalances caused by modern lifestyles and limited awareness of healthy eating remain widespread issues requiring technology-driven solutions. This study aims to design and evaluate a mobile application prototype, NutriWise, that provides daily meal recommendations tailored to users' nutritional needs and preferences. A User-Centered Design (UCD) approach was employed, involving users throughout the stages of requirement analysis, interface design, and initial prototype evaluation. The results indicate that the application is easy to use, delivers relevant meal suggestions, and supports nutritional monitoring through food logging and visual tracking features. These findings are supported by previous studies emphasizing the effectiveness of personalization and user-centered approaches. The study offers practical contributions to the development of adaptive digital solutions for daily nutrition management
Web-Based Recruitment System Design with K-NN Algorithm at PT Gunung Himun Peratama Ardiansyah, Alfian; Purnama, Giri
Journal of Computer Science and Informatics Engineering Vol 4 No 4 (2025): October
Publisher : Ali Institute of Research and Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55537/cosie.v4i4.1136

Abstract

With the increasing need for workers, the recruitment process has become a crucial aspect in supporting the operations of PT Gunung Himun Peratama. Currently, the selection process is still carried out manually, resulting in delays, inefficiencies, and the potential for human error. This study aims to develop a web-based decision support system by integrating the K-Nearest Neighbor (K-NN) algorithm to improve efficiency and accuracy in the employee selection process. The system development was carried out using the waterfall method, with PHP technology, the CodeIgniter framework, and the MySQL database. The K-NN algorithm is used to calculate the proximity between new applicant data and historical data based on a number of predetermined criteria. System evaluation was carried out through black-box testing and classification accuracy analysis. The results of the study showed that the system was able to classify applicants accurately and reduce the selection time from an average of three days to one day. In addition, the system provides objective acceptance recommendations based on processed historical data, thereby increasing efficiency, transparency, and accountability in the recruitment process. This system makes a real contribution to the development of decision support information systems in the field of human resources
Fardhu Kifayah Learning Media Application Using Android-Based Augmented Reality Baratih, Ira Iranda Isyha; Fakhriza, M.
Journal of Computer Science and Informatics Engineering Vol 4 No 4 (2025): October
Publisher : Ali Institute of Research and Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55537/cosie.v4i4.1141

Abstract

Advances in information technology and telecommunications have brought significant changes to the field of education. Technology-based learning media provides an effective solution for improving the quality of learning and student motivation. One of the emerging technologies is augmented reality (AR), which can create interactive and engaging learning experiences. Observations at the Amal Shaleh Islamic Junior High School revealed the need for more interactive, technology-based learning tools. The learning process still relies on conventional methods, such as explanations on the blackboard and textbooks, making it challenging for students to fully grasp the material. The researchers chose the topic "Management of Deceased Bodies" as the focus for developing learning media, given the importance of understanding the procedures for managing corpses according to Islamic law. In fiqh studies, the obligation to care for a corpse is considered a fardhu kifayah, meaning that if one person fulfills this duty, the responsibility is lifted from others. However, if no one performs the task, the entire community bears the sin. Thus, it is crucial for students to understand and apply the procedures correctly. This research employed the Markerless method, and the outcome was an interactive learning medium utilizing augmented reality. The goal of this innovation is to enhance students' understanding of the procedures for handling deceased bodies, enabling them to apply this knowledge within their communities
Design of a Web Tracer Study Application and Alumni Data Management at the Faculty of Sharia and Law Riansyah, Rusma; Syahputra, Alwi
Journal of Computer Science and Informatics Engineering Vol 4 No 4 (2025): October
Publisher : Ali Institute of Research and Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55537/cosie.v4i4.1145

Abstract

This research aims to design a web-based tracer study application and alumni data management system at the Faculty of Sharia and Law UINSU using the Waterfall method with a Model-View-Controller (MVC) approach. The system was developed using PHP 8.0, MySQL 8.0, HTML5, and CSS3 technologies. Functional testing shows 100% success on all features, usability evaluation using System Usability Scale (SUS) resulted in an average score of 82 (Excellent category), and performance testing shows login response time of 1.5 seconds with stability at 25 simultaneous users. User Acceptance Test shows 100% of users stated the system is easy to use. Implementation resulted in an alumni response rate of 78.6%, with 64.4% of alumni working in the legal sector and 75.4% stating that lecture competencies match work requirements. Innovative features include automatic email reminders, LinkedIn integration, dynamic visualization, and automatic password reset. The system has proven effective in improving the efficiency of alumni data collection from manual to digital and supporting data-based accreditation processes and curriculum evaluation
Design and Implementation of a Web-Based Digital Repository System in the Muamalah Study Program at UINSU Using the Waterfall Method Diah Putri Kartikasari; Farhan, Muhammad
Journal of Computer Science and Informatics Engineering Vol 4 No 4 (2025): October
Publisher : Ali Institute of Research and Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55537/cosie.v4i4.1158

Abstract

Repository is a digital storage system that can store various kinds of data such as files, documents, and research results, often a repository is called a digital library by many people. Repository is used in various places, one of which is higher education, which can store student research results such as papers, theses, journals, thesis, and dissertations. Muamalah repository is addressed to the Muamalah Study Program, Faculty of Sharia and Law, State Islamic University of North Sumatra which still uses a manual library system so that it can cause problems in the process of searching, storing and managing documents that require a long time. So a digital library or digital repository is the right solution to deal with these problems. The waterfall software development method is used in this research because the process is structured and more organized so that it can facilitate research. The use of UML (Unified Modeling Language) as a design model and PHP (Hypertext Prepocessor) as a programming language makes this research easier to implement. The results of this study can help the muamalah study program in managing various data such as theses, journals, thesis, and so on
Classification of Nutritional Status in Toddlers Based on Anthropometric Data Using Random Forest Imung, Mundirin; Idawati, Idawati; Latief, Ibrahim
Journal of Computer Science and Informatics Engineering Vol 4 No 4 (2025): October
Publisher : Ali Institute of Research and Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55537/cosie.v4i4.1175

Abstract

Stunting is a chronic nutritional problem that remains a major challenge in improving child health in Indonesia. This condition has long-term impacts on physical growth, cognitive development, and future productivity of children. Early detection of toddlers' nutritional status is crucial for effectively preventing and addressing stunting cases. This study aims to develop a machine learning-based classification model for toddlers' nutritional status using simple anthropometric data, namely age (in months), sex, and height (in cm). The dataset used in this study was sourced from the 2022 historical records of the Health Department and the Community-Based Nutrition Recording and Reporting System (E-PPGBM), comprising 120,999 entries categorized into four nutritional status classes: normal, tall, stunted, and severely stunted. Data preprocessing included label encoding and feature standardization. The model employed is the Random Forest Classifier, evaluated using accuracy, precision, recall, and F1-score metrics. The training results show that the model achieved a classification accuracy of 99.93% on the test data, with F1-scores for each class as follows: Normal = 0.9998, Severely Stunted = 0.9985, Stunted = 0.9975, Tall = 0.9997. Feature importance analysis indicates that height is the most influential feature in the classification task. These findings demonstrate that machine learning algorithms, particularly Random Forest, are effective for predicting toddlers’ nutritional status and have strong potential to be integrated into digital applications that support Indonesia’s stunting reduction programs. However, the model's limitation lies in its use of only basic anthropometric features—age, sex, and height—without considering additional variables such as weight, disease history, dietary patterns, socioeconomic status, or immunization history, which may also influence a child's nutritional status. To improve the model's accuracy and relevance, it is recommended to incorporate other related features, such as body weight, nutritional intake, health history, and social-economic indicators, in future research.
Determinant Factors of Revisit Intention to Museum: Integration of Technology Acceptance Model and Expectation Confirmation Theory Intan Istiqomah
Journal of Computer Science and Informatics Engineering Vol 4 No 4 (2025): October
Publisher : Ali Institute of Research and Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55537/cosie.v4i4.1202

Abstract

The development of digital technology is progressing very rapidly. Museums as cultural centers need to adopt digital technology to give different experiences for visitors. Museum Sonobudoyo also starts using digital technology. The technology used varies, from animated films, Virtual Reality (VR), to interactive screens. Visitors can enjoy these technologies and may revisit the museum if they are satisfied. This research tries to examine the factors that determine revisit intention of the visitors from the perspective of Technology Acceptance Model and Expectation Confirmation Theory. Data collection was carried out during period May – June 2024 by distributing questionnaires to museum visitors. A total of 160 valid questionnaires were collected and processed using Partial Least Square Structural Equation Modeling (PLS-SEM) with the help of SmartPLS 3.0 software. The results show that the factors which determine revisit intention are perceived usefulness, using digital technology, confirmation, and satisfaction. This research contributes to the existing knowledge in museum’s technology adoption and integration between TAM and ECT theories. Not only theoretical contribution, the result of this research also has practical contributions to the development of museum strategies. By knowing the factors that may influence visitors’ revisit intention, museums may consider these factors when planning to use other digital technologies.

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