Bulletin of Computer Science Research

Innovation in Digital Thesis Supervision Systems Using the Design Thingking Method

2026-05-22T02:08:43+00:00

The thesis supervision process represents a critical academic milestone for undergraduate students; however, in many Indonesian higher education institutions, it continues to operate conventionally and inefficiently due to fragmented communication, unstructured revision management, and a lack of organized inter-session support. This study designs and evaluates the BimbOl mobile application prototype as a digital thesis supervision support system using the Design Thinking methodology through five sequential stages: empathize, define, ideate, prototype, and test. A preliminary survey of 57 respondents (45 students and 12 lecturers) identified four dominant barriers: difficulty in scheduling coordination (73.1% of students), unstructured revision management (57.8% of students), absence of proactive notifications (57.9% of students), and loss of inter-session discussion context (53.3% of students). The BimbOl prototype integrates six core features across 30 interactive screens, encompassing collaborative scheduling, digital revision markup, automated notifications, a progress dashboard, structured revision history, and a four-mode AI Consultation feature as an independent inter-session support tool not found in comparable systems. Usability evaluation using the System Usability Scale (SUS) involved 15 respondents (12 students and 3 lecturers) and yielded a combined score of 80.8, surpassing the Grade A threshold (80.3), confirming Excellent/Acceptable usability. The mean student score of 77.9 (Good/Acceptable) and the mean lecturer score of 90.0 (Excellent/Best Imaginable) confirm that the design is effective across both user groups. Unlike prior studies that addressed thesis supervision digitalization through isolated features or interface-level redesigns, this study contributes a unified, human-centered mobile supervision ecosystem that simultaneously resolves scheduling, revision tracking, notification, and AI-assisted inter-session consultation, a combination not previously documented in the Indonesian higher education context, thereby providing an empirical and design foundation for next-generation thesis supervision systems.

Klasifikasi Tingkat Pemahaman Siswa Kelas VI Sekolah Dasar terhadap Perangkat Keras Komputer Menggunakan Metode Decision Tree

2026-04-30T14:12:51+00:00

The development of information technology in education requires students to have a basic understanding of computer hardware from an early age. However, the level of students’ understanding of computer hardware still varies, especially at the elementary school level. This condition can affect students’ ability to understand the use of technology more effectively in computer-based learning processes. This study aims to classify the level of understanding of sixth grade elementary school students regarding computer hardware using the Decision Tree method. The research data were obtained through a questionnaire consisting of 25 questions related to computer hardware. Each student’s answer was assigned points based on its correctness level, then the total score was calculated and converted into a 0–100 scale before being categorized into three classes, namely High Understanding, Moderate Understanding, and Low Understanding based on score ranges adjusted to the distribution of the research data. The data show that there are 30 students in the High Understanding category, 18 students in the Moderate Understanding category, and 6 students in the Low Understanding category. The classification process was carried out using the Decision Tree method with 80% training data and 20% testing data. The model achieved an accuracy of 45% on the test data. The result indicates that the model is not yet optimal in performing balanced classification across all categories of student understanding. The findings of this study contribute to the application of the Decision Tree classification method in elementary education, particularly in identifying students’ understanding of computer hardware based on questionnaire data.

Implementasi Algoritma C4.5 Untuk Klasifikasi Pengenalan Warna Dasar di Taman Kanak-Kanak

2026-05-02T19:57:53+00:00

Differences in early childhood ability to recognize basic colors at TK Negeri 01 Barong Tongkok indicate the need for a structured evaluation system to ensure objective assessment. The classification of these abilities is carried out by applying the C4.5 algorithm within a quantitative experimental framework. Data are collected through observations and color recognition tests involving 35 children as respondents, then processed using predefined attributes to construct a classification model. The analysis results group children’s abilities into three categories: Sangat Mengenal (High), Mengenal (Moderate), and Cukup Mengenal (Low). The experimental results indicate that the C4.5 algorithm is highly effective and stable, achieving an average classification accuracy of 85.71% through 5-Fold Cross-Validation. Furthermore, the resulting decision tree provides an intuitive and transparent structure that assists educators in interpreting evaluation outcomes and understanding the dominant variables that determine student learning success more clearly than black-box models. The primary contribution of this study lies in the provision of a data-driven evaluation model that generates empirically measurable decision rules (if-then rules), while simultaneously serving as a methodological bridge to create differentiated learning strategies at the early childhood education (PAUD) level. Consequently, the implementation of the C4.5 algorithm represents a strategic, efficient, and scientifically accountable alternative for enhancing pedagogical effectiveness and cognitive monitoring in early childhood education.

Perancangan Aplikasi FinanSmart dengan Financial Health Score dan Family Link untuk Manajemen Keuangan Mahasiswa

2026-05-05T17:11:52+00:00

Students often face difficulties in systematically managing their personal finances due to limited financial literacy and the absence of applications specifically designed for their needs. This condition can lead to consumptive behavior, inability to save, and prolonged financial dependency. This study aims to design and develop a web-based student financial management application named FinanSmart using the Research and Development (R&D) method with the Waterfall development model. The main innovations of this system include a Financial Health Score (FHS) mechanism calculated automatically each month as a quantitative indicator of students' financial health, and a Family Link feature that allows parents to monitor their child's financial condition in real-time while full privacy control remains with the student. Additionally, the system is equipped with spending pattern analysis, two-level budget notifications, daily reminders, and gamification elements to encourage consistent financial management. Functional testing using Black Box Testing on 18 test scenarios demonstrated a 100% success rate, proving that all features operate according to functional specifications. This system is expected to measurably improve students' financial awareness and behavior through personalized financial health score feedback and family-based monitoring features.

Optimasi Random Forest Menggunakan Domestic Cattle Optimization Algorithm (DCOA) Untuk Diagnosa Somnipati

2026-04-26T10:59:35+00:00

Sleep disorders such as insomnia and sleep apnea, collectively referred to as somnipathy, are health conditions that can significantly reduce quality of life and are associated with various chronic diseases. However, conventional diagnostic methods such as polysomnography (PSG) have limitations in terms of cost, time, and accessibility. Therefore, this study proposes a machine learning–based approach to classify sleep disorders using a combination of Random Forest integrated with the SMOTE and the DCOA. The dataset used in this study is the Sleep Health and Lifestyle Dataset, which consists of 374 records with 13 features representing individuals’ physiological conditions and lifestyle factors. The issue of data imbalance is addressed using SMOTE, while hyperparameter optimization is performed using DCOA to enhance model performance. The findings indicate that the proposed model achieves an accuracy of 97.33%, precision of 97.63%, recall of 97.33%, and an F1-score of 97.32%. These results demonstrate a significant improvement compared to previous studies using the same dataset. Therefore, the proposed approach proves to be effective in improving sleep disorder classification performance and has strong potential to be implemented as an optimal and accurate data-driven decision support system for diagnosis. However, considering the relatively small dataset size, there is a potential risk of overfitting, which necessitates careful evaluation to ensure model generalization.

Simulasi dan Uji Fungsional Dashboard Monitoring Kualitas Air Kolam Ikan Berbasis MQTT

2026-05-08T22:42:19+00:00

Water quality plays a crucial role in fish farming because changes in pH, temperature, water content, turbidity, and total dissolved solids (TDS) can affect the condition and health of fish. Manual monitoring still has limitations because data is not available continuously, and early warnings are difficult to provide when water conditions begin to exceed safe limits. This study aims to develop and functionally test an Internet of Things (IoT)-based fish pond water quality monitoring dashboard using the MQTT protocol. Testing was conducted in a simulated environment to evaluate data transmission, data storage, dashboard visualization, status classification, and alert logging. Test results show that the system is capable of receiving and storing 204 sensor data records and generating 248 alert data entries in the `alert_log` table. The dashboard successfully displays the statuses NORMAL, WARNING, DANGER, and CRITICAL in accordance with the defined threshold rules. This research contributes to the development of an initial prototype of a simulation-based water quality monitoring system that can be used to verify data flow integration and dashboard responses before implementation on real devices. This research is not intended as a validation of physical sensors or an evaluation of field network performance, but rather as an initial test of the simulation system’s functionality.

Clustering State Electricity Company (PLN) Customer Electricity Consumption Patterns Using K-Means for Operational Efficiency

2026-05-08T20:50:31+00:00

Electricity consumption patterns among PLN customers show diverse characteristics that require data-driven analysis to support accurate operational planning and service strategies. Differences in installed power, operating hours, and electricity usage intensity can indicate variations in customer behavior, load demand, and service needs. This study aims to analyze electricity consumption patterns of PLN customers in the South Semarang area using the K-Means Clustering method. The dataset consists of 6,622 active customers, with variables including installed power, operating hours, and average electricity consumption over the last eight months. The research stages include identifying the need for consumption pattern analysis, preparing data, cleaning incomplete or inconsistent values, normalizing variables, modeling with K-Means, and interpreting cluster results. The optimal number of clusters was determined using the Elbow Method and Silhouette Score to ensure meaningful grouping and good separation quality. The results show that the optimal number of clusters is three. The first cluster represents low consumption patterns with 1,881 customers (28.4%). The second cluster represents medium consumption patterns with 2,927 customers (44.2%). The third cluster represents high consumption patterns with 1,814 customers (27.4%). The WCSS value of 498.67 and Silhouette Score of 0.68 indicate good clustering performance and practical usefulness for decision-making by PLN in service quality improvement.

Perancangan Backend Portal Informasi Komite Olahraga Nasional Indonesia Denpasar Berbasis MVC

2026-05-08T20:49:20+00:00

The rapid development of information technology has encouraged many organizations to implement website-based information systems to improve the effectiveness of data management and digital information distribution. KONI Denpasar, as an organization engaged in regional sports development, requires a backend system capable of supporting integrated information management because the previous data management process was still carried out conventionally and was not centralized. This condition caused the dissemination of organizational information to become less optimal and made administrative processes and long-term system development more difficult. Several previous studies have discussed the development of systems using the CodeIgniter framework; however, most of these studies focused on academic systems, administrative services, and sales systems, while research related to backend information portals for sports organizations remains limited. Therefore, this study aims to design and develop a website-based backend information portal for KONI Denpasar using the CodeIgniter 4 framework with the Model View Controller (MVC) architectural approach. The system development method applied in this research is the Systems Development Life Cycle (SDLC) using the Waterfall model, which consists of requirements analysis, system design, implementation, testing, and maintenance stages. The developed backend system includes features for managing news, event agendas, documentation galleries, user data, and administrator access rights to support more structured information management. System testing was conducted using the Black Box Testing method to ensure that all features functioned according to user requirements. The results of this study indicate that the backend information portal for KONI Denpasar was successfully developed and that all system features operated properly based on the testing results. This research contributes to the development of an integrated MVC-based backend information portal for sports organizations that can support information management in a more effective, structured, and easily maintainable manner in the future.

User Experience Evaluation of the SEKAWAN V3 Website Using the User Experience Questionnaire (UEQ)

2026-05-04T20:09:03+00:00

The SEKAWAN V3 website is used as a thesis management system in the Informatics Study Program at Universitas Islam Indonesia. However, preliminary observations indicate usability issues affecting user interaction. This study aims to assess the user experience of SEKAWAN V3 and analyze the impact of a UI/UX redesign based on user feedback. The study applies the User Experience Questionnaire (UEQ) supported by open-ended responses. A total of 23 participants were involved, with 17 valid responses in the initial evaluation and 22 valid responses in the re-evaluation after data consistency filtering. The initial results reveal issues related to navigation clarity, feature understanding, and interface structure. Based on these findings, a redesigned prototype was developed and evaluated. The results indicate improvements across all UEQ dimensions, particularly in stimulation, attractiveness, and perspicuity, suggesting better engagement, visual appeal, and ease of use. Qualitative findings support these results, showing that users perceive the system as clearer, more structured, and more intuitive. This study demonstrates that combining quantitative and qualitative approaches can support data-driven improvements in system design.

Implementasi Sistem Informasi Nilai Akademik dan Raport Berbasis Web Menggunakan Metode Object Oriented Analysis and Design

2026-05-08T22:30:13+00:00

Managing academic grade data and creating report cards are crucial activities in educational administration, but the current process is still carried out conventionally using spreadsheet applications. This method of working causes various problems such as long processing time, high risk of calculation errors, and difficulties in storing and tracking historical data. This study aims to design, build, and implement a web-based information system that is able to automate grade processing and report card creation to be faster, more accurate, and more integrated. The method applied in developing this system is Object Oriented Analysis and Design (OOAD) with modeling using the Unified Modeling Language (UML), and implementation using the PHP programming language and MySQL database. The main contribution of this research lies in the development of a web-based academic information system specifically designed to meet the characteristics of vocational high school administration, by applying the Object-Oriented Analysis and Design (OOAD) approach and structured UML modeling. The resulting system not only automates grade processing and report card printing, but also provides a modular, integrated, and easily developed software architecture to support the ongoing digitalization of educational administration.

An Agile-Scrum Approach to Enhancing Urban Transit through a Mobile-Based Motorcycle Parking System with OCR Integration

2026-05-02T19:51:44+00:00

This study discusses the development of a mobile-based motorcycle storage application using the Agile Scrum method in the 359 Parking service in the Pondok Cina Station area. The application was developed to help manage vehicle storage digitally through storage location search features, vehicle reservations, and vehicle identification using Optical Character Recognition (OCR) technology. The system is built using Flutter and Firebase with the implementation of Google ML Kit OCR to help with the automatic scanning of vehicle license plates. Data collection was carried out through literature studies, interviews, and numerical scale forms on customers and motorcycle storage managers. System testing is carried out using the Black Box Testing method on the main features of the application. The test results show that the login, reservation, location search, and vehicle license plate scanning features can run according to the functional needs of the system. The implementation of OCR also helps reduce the manual recording process of vehicles, especially in adequate lighting conditions. In addition, user evaluation results show that the app helps simplify the process of finding a storage location and managing a vehicle. This study shows that the application of mobile technology, location services, and OCR can support the digitization of motorcycle storage services to be more effective and integrated.