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INDONESIA
EDUMATIC: Jurnal Pendidikan Informatika
Published by Universitas Hamzanwadi
ISSN : -     EISSN : 25497472     DOI : 10.29408
Core Subject : Science, Education,
Computer Science & IT Education
EDUMATIC: Jurnal Pendidikan Informatika (e-ISSN: 2549-7472) adalah jurnal ilmiah bidang pendidikan informatika yang diterbitkan oleh Universitas Hamzanwadi dua kali setahun yaitu pada bulan Juni dan Desember. Adapun fokus dan skup jurnal ini adalah (1) Komputer dan Informatika dalam Pendidikan; (2) Model Pembelajaran dan Model TIK; (3) Pengembangan Media Pembelajaran Berbasis Teknologi Informatika; (4) Interaksi Manusia dan Komputer; (5) Sistem Informasi dan Teknologi Informasi.
Arjuna Subject : -
Articles 439 Documents
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Klasifikasi Jenis Kejahatan berdasarkan Teks Amar Putusan Pengadilan Hukum Pidana KUHP menggunakan IndoBERT Perdana, Tirtanusa Kurnia Adhi; Soyusiawaty, Dewi
Jurnal Pendidikan Informatika (EDUMATIC) Vol 9 No 2 (2025): Edumatic: Jurnal Pendidikan Informatika
Publisher : Universitas Hamzanwadi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29408/edumatic.v9i2.30326

Abstract

The increasing number of the court’s rulings each year presents a challenge for the judiciary. One strategic solution is the application of Artificial Intelligence (AI). Indonesian-based models such as IndoBERT is potential to ease workloads by automatically classifying legal cases. This study aims to explore the capability of IndoBERT to automatically classifying the verdict of section of Indonesian KUHP rulings to accelerate crime type identification. This is an experimental study using supervised text classification. The dataset consists of 12000 verdicts collected from the Indonesian Supreme Court website, classified using IndoBERT fine-tuned with various hyperparameter configuration. Our findings show that the model with a batch size of 8 and learning rate 5e-5 achieved accuracy of 92.59%, precison of 92.93%, recall of 92.59%, and F1-Score of 92.59% on unseen test data. The high accuracy is supported by the explicit mention of crime types within verdict texts. To date, no study has specifically utilized IndoBERT or other models for automatic classification of KUHP articles. This finding has the potential to be integrated into the Supreme Court’s Directory of Decision as a support tool for automatic classification and legal document archiving.
K-Means Clustering untuk Segmentasi Pelanggan: Mengungkap Pola Pembelian Strategi Pemasaran pada Sektor Ritel Artiarno, Andrean Maulana; Setiaji, Pratomo; Nugraha, Fajar
Jurnal Pendidikan Informatika (EDUMATIC) Vol 9 No 2 (2025): Edumatic: Jurnal Pendidikan Informatika
Publisher : Universitas Hamzanwadi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29408/edumatic.v9i2.30336

Abstract

Digital transformation has posed new challenges for retail companies in understanding consumer behavior due to the increasing volume of data and continuously changing preferences. This study aims to uncover purchasing patterns among retail customers and to provide data-driven marketing strategies through customer segmentation using the K-Means Clustering algorithm. This research adopts a quantitative exploratory approach using 3,900 synthetic entries from the Kaggle platform, representing retail transactions. The analysis focuses on variables such as age, gender, product category, location, purchase amount, and transaction frequency. The analytical process includes data preprocessing, dimensionality reduction using PCA, and segmentation with the K-Means algorithm. The optimal number of clusters was determined using the Elbow Method and Silhouette Score, while the quality of the clustering was evaluated using internal metrics, namely the Calinski-Harabasz Score (491.47) and the Davies-Bouldin Score (2.02). These values indicate a well-structured and reliable clustering result. Our findings reveal five distinct customer segments with varying characteristics, ranging from teenagers with small and periodic purchases to high-value adult customers who transact infrequently. These insights serve as the foundation for developing marketing strategies such as loyalty programs, seasonal promotions, and exclusive approaches.
Sleeption: Aplikasi Deteksi Gerakan Video Real-time berbasis Mobile untuk Pemantauan Gangguan Tidur Bayi Andreanto, Dodik Dwi Andreanto; Muhtadi, Muis; Ariyandi, Haffas Zikri
Jurnal Pendidikan Informatika (EDUMATIC) Vol 9 No 2 (2025): Edumatic: Jurnal Pendidikan Informatika
Publisher : Universitas Hamzanwadi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29408/edumatic.v9i2.30373

Abstract

A baby's quality sleep is very important for his or her growth and development. Infant sleep disturbances have a negative impact on their physical health. Monitoring baby's sleep becomes very important to identify potential sleep disorders and ensure optimal sleep quality for babies. This research aims to build an android application called Sleeption using the waterfall model, a mobile-based baby sleep pattern monitoring application connected to a Raspberry Pi 3 device as an edge computing device. The development phase includes the stages of analysing the needs of parents in monitoring activities, application design, implementation of application design, verification of the success of features in the application, application and application testing along with periodic maintenance on the application. Data collection is done by observation with the development team on the needs of parents in conducting baby sleep monitoring activities. The result of our findings is a mobile application that helps parents in the process of monitoring their baby's sleep activities. The results of black box testing show that the Sleeption application is able to provide accurate and real-time information with a latency of 41 ms about the baby's sleep activity. The application of the Sleeption application helps parents in monitoring their baby's sleep patterns, along with the automation of reports on changes in baby sleep patterns helping parents to identify potential sleep disorders more accurately.
Implementasi Algoritma Random Forest dalam Klasifikasi Ulasan Pengunjung Mall Semarang untuk Pengambilan Keputusan Layanan Maizaliyanti, Annisa; Umam, Khothibul; Yuniarti, Wenty Dwi; Handayani, Maya Rini
Jurnal Pendidikan Informatika (EDUMATIC) Vol 9 No 2 (2025): Edumatic: Jurnal Pendidikan Informatika
Publisher : Universitas Hamzanwadi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29408/edumatic.v9i2.30379

Abstract

Visitor preferences for malls in Semarang are not optimal because bold reviews have not been utilized optimally in decision making. Our research aims to classify the sentiment of Google Maps reviews from 13 malls in Semarang with a total of 2,600 reviews. Labeling is done manually based on ratings, where ratings 1–3 are considered negative reviews and 4–5 as positive reviews. The classification method used is Random Forest because the ensemble approach (bagging) provides optimal results. The research process includes data collection, labeling, cleaning, data sharing, classification, and model evaluation. The data used is unbalanced and dominated by positive reviews, so the Synthetic Minority Over-sampling Technique (SMOTE) technique was applied. The overall accuracy before and after SMOTE remained the same at 84%. However, the model's performance in detecting negative reviews increased from 27% to 44% in recall and F1-score from 0.40 to 0.52, but these values ​​are still relatively low. Java Supermall Semarang is the mall with the best reviews, with a classification accuracy reaching 90%. This model is better at recognizing positive reviews, but less reliable for negative reviews. Therefore, its use as a decision-making preference needs to be done with caution. This research opens up opportunities for further development, including the use of other models such as BERT which are superior in understanding context and language in reviews.
Community Detection in Scientific Collaboration Networks using the Louvain Method Octariana, Ghina Briliana Fatin; Wijayanto, Heri; Putra, I Gede Darmawan Adi Pratama
Jurnal Pendidikan Informatika (EDUMATIC) Vol 9 No 2 (2025): Edumatic: Jurnal Pendidikan Informatika
Publisher : Universitas Hamzanwadi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29408/edumatic.v9i2.30441

Abstract

This research aims to identify the collaboration of authors in scientific publication networks, which is increasingly important due to the rapid growth of research output using the Louvain method. Understanding the structure of collaboration can help reveal the formation of research communities and the key actors within them. To achieve this, we use three centrality metrics, each of which has a function to help understand collaboration between authors. Authors with ID P107 in degree centrality, authors with ID 177 in betweenness centrality and authors with ID P174 closeness centrality. In applying the Louvain method, the results show a fairly high modularity score of 0.7689, which indicates optimal separation between clusters. This finding shows that although Louvain is quite efficient in separating communities.
Sistem Pemantauan Kemajuan Skripsi dengan Visualisasi Timeline-Milestones untuk Skripsi Tepat Waktu: Pendekatan Manajemen Waktu Rahmi, Rahmi; Djuanda, Djuanda; Samsuar, Samsuar; Anzora, Anzora; Aryani, Irma; Susanti, Nelia
Jurnal Pendidikan Informatika (EDUMATIC) Vol 9 No 2 (2025): Edumatic: Jurnal Pendidikan Informatika
Publisher : Universitas Hamzanwadi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29408/edumatic.v9i2.30443

Abstract

A thesis is a mandatory final assignment for undergraduate students, however its compiling process often presents challenges. Especially in terms of time management and progress monitoring. Students struggle to systematically plan the stages of their thesis. While lecturers have difficulty monitoring progress effectively. Therefore, a system is needed to assist both students and lecturers. The aim of this research is to develop a web-based thesis monitoring system with timeline and milestones visualization. This study employs a project management-based time management approach and uses the Waterfall system development model. The requirement analysis stage uses the PIECES framework, while the system design stage includes use case and activity diagrams, followed by implementation through coding and testing with black-box testing. Our research results is a prototype of web-based thesis monitoring system featuring timeline and milestone visualization. This visualization provides a clear overview of a thesis progress, making it easier for students to understand the entire process and for lectures to monitor progress effectively. The testing results show that the prototype system runs well. This system is expected to enhance the effectiveness of the thesis preparation process, support timely completion, and address challenges in monitoring the progress of thesis at universities.
Sistem Monitoring Inventory Souvenir berbasis AppSheet: Inovasi Manajemen Stok Fauziyyah, Aghniya Tsaniya; Sutisna, Ma’mun
Jurnal Pendidikan Informatika (EDUMATIC) Vol 9 No 2 (2025): Edumatic: Jurnal Pendidikan Informatika
Publisher : Universitas Hamzanwadi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29408/edumatic.v9i2.30489

Abstract

Technological advances encourage digitalization in various sectors, including inventory management. Information systems have an important role in collecting, storing, and presenting data into useful information. PT PLN (Persero) UP3 Bandung faces obstacles in managing souvenir inventory stocks, such as delays in data access, recording errors, and inefficient manual processes. This research aims to develop an AppSheet-based souvenir inventory monitoring system as an efficient and integrated digital solution. This type of research is software engineering research, with a Waterfall development model consisting of requirements analysis, system design, implementation, and testing. The testing we do uses black box testing which aims to evaluate the functionality of the application according to specifications. The data collection we used was interviews and observations. The result of our findings is a system that provides reporting features to facilitate monitoring of souvenir inventory stock based on AppSheet which is designed to replace the manual recording process. The test results prove that the system runs well as needed and gets a positive response from the owners and employees of PT PLN (Persero) UP3 Bandung. This system can improve efficiency, recording accuracy, reduce the risk of human error, and speed up the monitoring process. With this system, it has the potential to be replicated in other units as part of the digital transformation of the public sector.
Digital Banking Satisfaction: A SeaBank Study using The End User Computing Satisfaction (EUCS) Model Oktoriani, Della; Rahmawita, Medyantiwi; Ahsyar, Tengku Khairil; Syaifullah, Syaifullah
Jurnal Pendidikan Informatika (EDUMATIC) Vol 9 No 2 (2025): Edumatic: Jurnal Pendidikan Informatika
Publisher : Universitas Hamzanwadi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29408/edumatic.v9i2.30511

Abstract

SeaBank serves as a digital banking platform that enables users to conduct financial transactions conveniently via their smartphones. Despite its widespread adoption, concerns regarding service quality persist. The objective of this study is to assess user satisfaction with the SeaBank application using the EUCS model. This research employs a quantitative methodology with PLS-SEM as the analytical technique to examine variable relationships. The software used for data analysis is SmartPLS 4. Data were collected through an online survey comprising 23 items, involving 100 active users aged 17 and above. Model evaluation includes both outer model and inner model analyses to ensure construct validity and reliability. The findings indicate that content, accuracy, and ease of use have a significant and positive impact on user satisfaction. Conversely, format and timeliness do not have a significant influence, suggesting that these aspects play a marginal role in shaping users' overall perception of the application. Implications of this study highlight the necessity of improving information quality, data accuracy, and intuitive interface design to enhance user satisfaction. While enhancements to format and timeliness can be considered, they are not a primary focus. This research provides valuable insights for application developers in designing user-centered service improvement strategies.
Optimasi Kendali PID berbasis IoT pada Oven Listrik untuk Pengeringan Rempah yang Presisi Pratama, Bambang; Salamah, Irma; Lindawati, Lindawati
Jurnal Pendidikan Informatika (EDUMATIC) Vol 9 No 2 (2025): Edumatic: Jurnal Pendidikan Informatika
Publisher : Universitas Hamzanwadi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29408/edumatic.v9i2.30537

Abstract

Unstable spice drying can reduce active compound content by up to 30% and increase the risk of microbial contamination by up to 40%, while conventional temperature control does not ensure thermal stability. This study aims to develop an IoT-based drying system using a PID algorithm to maintain temperature stability and allow remote monitoring and control. The research followed the waterfall model, starting from needs analysis, hardware and software design, PID implementation using a trial-and-error approach, IoT application development with Kodular and Firebase, system integration, and full system performance testing. Key components include the DS18B20 temperature sensor, ESP32, heating element, and IoT platform. Software testing used the black box method, while hardware testing evaluated performance through overshoot, steady-state error, settling time, disturbance simulation, and comparison with the on-off control method. The resulting system automatically regulates temperature with a PID algorithm and enables real-time monitoring via mobile devices. Testing showed the PID system was more stable than the on-off method, with overshoot <4°C, steady-state error <1.5°C, settling time of ±750 seconds, and quick response to disturbances. The mobile application operated reliably without errors, enhancing the quality and precision of the spice drying process.
Quality Evaluation of The SITASI Final Project System using Selected McCall Software Quality Factors Adillah, Suci Nur; Ahsyar, Tengku Khairil; Syaifullah, Syaifullah; Anofrizen, Anofrizen; Marsal, Arif
Jurnal Pendidikan Informatika (EDUMATIC) Vol 9 No 2 (2025): Edumatic: Jurnal Pendidikan Informatika
Publisher : Universitas Hamzanwadi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29408/edumatic.v9i2.30675

Abstract

The Final Project Information System (SITASI) was developed to support academic administration processes. However, performance and usability issues continue to hinder its effectiveness, particularly during peak usage. This study aims to evaluate the quality of SITASI using the McCall Software Quality Model by focusing on five relevant operational factors: correctness, reliability, efficiency, integrity, and usability. The research employed a descriptive quantitative approach by distributing a validated user perception questionnaire to 72 students with active experience using SITASI. The instrument was tested for validity and reliability, with data analyzed using descriptive statistical techniques to evaluate the quality of the SITASI system. The results show that usability scored the highest at 86%, followed by correctness at 67.6%, reliability at 64.2%, integrity at 50.8%, and efficiency at 43.5%. These findings reveal strong user interface performance but expose technical limitations in speed and data security. The study concludes that while SITASI performs well in terms of usability, it requires substantial improvements in system responsiveness and integrity features. The results offer a structured evaluation of software quality and provide practical recommendations for developers to optimize performance and strengthen data protection. This study contributes a replicable framework for evaluating academic information systems in higher education environments.

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