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All Journal Register: Jurnal Ilmiah Teknologi Sistem Informasi Sistemasi: Jurnal Sistem Informasi JMM (Jurnal Masyarakat Mandiri) Jurnal Teknologi Sistem Informasi dan Aplikasi Journal of Information Systems and Informatics Abdimas: Jurnal Pengabdian Masyarakat Universitas Merdeka Malang
Suria, Ozzi
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A Statistical Analysis of System Usability Scale (SUS) Evaluations in Online Learning Platform Suria, Ozzi
Journal of Information System and Informatics Vol 6 No 2 (2024): June
Publisher : Universitas Bina Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51519/journalisi.v6i2.750

Abstract

This study evaluates the usability of a Moodle-based online learning system at a university using the System Usability Scale (SUS). Introduced in 2019, the platform has been instrumental in facilitating access to educational resources, enhancing the distribution of course materials, and supporting academic activities through interactive features. The SUS was employed to gather subjective feedback from 120 student respondents, providing insights into the system's efficiency, effectiveness, and user satisfaction. Statistical analysis was performed using methods including the Shapiro-Wilk test to address the skewed distribution of the original dataset with a mean SUS score of 71.52 and a high standard deviation of 16.18, indicating varied user experiences. Analysis of sample means was also conducted to achieve a more stable estimate of usability, resulting in a mean of 71.51 with a significantly reduced standard deviation of 2.44, suggesting a more consistent assessment across users. The final SUS score placed the system in the 'C+' category according to the Sauro and Lewis grading scale, indicating that while usability is acceptable, substantial improvements are necessary.
Digital transformation of population administration: Enhancing data accessibility in local communities Suria, Ozzi; Prasetyaningrum, Putri Taqwa; Pratama, Irfan
Abdimas: Jurnal Pengabdian Masyarakat Universitas Merdeka Malang Vol. 10 No. 1 (2025): February 2025
Publisher : University of Merdeka Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26905/abdimas.v10i1.14983

Abstract

This community service initiative addresses the need for an efficient population administration system in RT3/RW3, Rejowinangun Utara Village, Magelang, where several key issues hinder effective data management. These problems include manual record-keeping with logbooks, which may increase the risk of errors and data loss, limited accessibility to population information, and challenges in adopting digital technology due to limited technical knowledge and infrastructure. To resolve these problems, this activity is conducted in four phases: data gathering, system development, evaluation, and user training. During the data-gathering phase, discussions with the community leader and the collection of family record data were conducted to identify specific needs and challenges. The system development phase focused on creating a user-friendly web-based Population Administration System (PAS) tailored to these requirements. In the evaluation phase, the system was tested and refined based on feedback from the community leader to ensure functionality and usability. The user training phase provided hands-on experience to the community leader, enabling independent use of the system for managing data and generating demographic summaries. The implementation of PAS successfully transformed administrative processes into digital and improved data accessibility for the local community.
PELATIHAN DESAIN GRAFIS DAN GAMIFIKASI UNTUK PENGEMBANGAN MEDIA PEMBELAJARAN INTERAKTIF Prasetyaningrum, Putri Taqwa; Ibrahim, Norshahila; Suria, Ozzi
JMM (Jurnal Masyarakat Mandiri) Vol 9, No 3 (2025): Juni
Publisher : Universitas Muhammadiyah Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31764/jmm.v9i3.31189

Abstract

Abstrak: Penggunaan media pembelajaran interaktif di kalangan tenaga pendidik masih terbatas, salah satunya disebabkan oleh kurangnya pemahaman tentang desain grafis dan penerapan gamifikasi dalam pendidikan. Kegiatan pengabdian ini bertujuan untuk meningkatkan kompetensi guru dalam mengembangkan media ajar digital yang menarik, kontekstual, dan interaktif. Program dilaksanakan melalui pelatihan dan workshop berbasis praktik kepada 30 guru dari berbagai jenjang pendidikan. Metode pelatihan mencakup pengenalan teori desain grafis, praktik penggunaan Canva dan Articulate Storyline, serta integrasi elemen gamifikasi seperti poin, tantangan, badge, dan leaderboard. Evaluasi dilakukan melalui observasi, analisis karya peserta, serta wawancara mendalam. Hasil menunjukkan adanya peningkatan sebesar 75% dalam kemampuan peserta dalam merancang media digital interaktif, dengan 10 prototipe media ajar berhasil dikembangkan. Selain peningkatan keterampilan teknis, motivasi peserta dalam memanfaatkan teknologi pembelajaran juga meningkat secara signifikan. Temuan ini membuktikan bahwa pelatihan berbasis praktik dan pendekatan user-centered efektif dalam meningkatkan kapasitas guru dalam mendesain media pembelajaran inovatif berbasis teknologi.Abstract: The use of interactive learning media among educators remains limited, primarily due to a lack of understanding of graphic design and gamification in educational contexts. This community service program aimed to enhance teachers’ competencies in developing engaging, contextual, and interactive digital learning media. The program was conducted through hands-on training and workshops involving 30 teachers from various educational levels. Training methods included theoretical sessions on graphic design, practical use of Canva and Articulate Storyline, and the integration of gamification elements such as points, challenges, badges, and leaderboards. Evaluation was carried out through observation, participant work analysis, and in-depth interviews. Results indicated a 75% improvement in participants’ ability to design interactive digital media, with 10 prototype learning modules successfully developed. In addition to technical skills, participants' motivation to integrate educational technology significantly increased. These findings suggest that practice-based training and a user-centered approach are effective in strengthening teachers' capabilities in innovative educational media design.
Combining SVM and Naive Bayes Models using a Soft Voting Approach for Sentiment Analysis of Tong Tji Tea House Saputra, Fendi Pradana; Suria, Ozzi
Sistemasi: Jurnal Sistem Informasi Vol 14, No 5 (2025): Sistemasi: Jurnal Sistem Informasi
Publisher : Program Studi Sistem Informasi Fakultas Teknik dan Ilmu Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32520/stmsi.v14i5.5481

Abstract

In today’s digital technology and social media era, people are increasingly influenced to actively share reviews of restaurant services, expressing a wide range of customer opinions and perceptions. This study aims to analyze sentiment in Indonesian-language review texts using three machine learning models: Support Vector Machine (SVM), Naive Bayes (NB), and a combination of both through an Ensemble Soft Voting Classifier approach. The research focuses on user reviews of the Tong Tji Tea House, collected from the Google Maps platform, with sentiment data distributed as follows: positive (2,676 entries), neutral (670 entries), and negative (251 entries). The class imbalance poses a significant challenge in developing an optimal classification model. To address this, parameter optimization was carried out using the Grid Search method. The SVM model with a linear kernel and C=10 parameter achieved an accuracy of 0.9289 and a positive F1-score of 0.9289. The NB model recorded an accuracy of 0.8340 with an F1-score of 0.9102. Meanwhile, the Ensemble model with a soft voting approach and a 4:1 weight ratio (SVM:NB) demonstrated the best performance, achieving an accuracy of 0.9344 and a positive F1-score of 0.9750. These results indicate that the Ensemble method effectively enhances model accuracy and robustness in handling imbalanced data.
Measuring Resampling Methods on Imbalanced Educational Dataset’s Classification Performance Pratama, Irfan; Prasetyaningrum, Putri Taqwa; Chandra, Albert Yakobus; Suria, Ozzi
Register: Jurnal Ilmiah Teknologi Sistem Informasi Vol 10 No 1 (2024): January
Publisher : Information Systems - Universitas Pesantren Tinggi Darul Ulum

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26594/register.v10i1.3397

Abstract

Imbalanced data refers to a condition that there is a different size of samples between one class with another class(es). It made the term “majority” class that represents the class with more instances number on the dataset and “minority” classes that represent the class with fewer instances number on the dataset. Under the target of educational data mining which demands accurate measurement of the student’s performance analysis, data mining requires an appropriate dataset to produce good accuracy. This study aims to measure the resampling method’s performance through the classification process on the student’s performance dataset, which is also a multi-class dataset. Thus, this study also measures how the method performs on a multi-class classification problem. Utilizing four public educational datasets, which consist of the result of an educational process, this study aims to get a better picture of which resampling methods are suitable for that kind of dataset. This research uses more than twenty resampling methods from the SMOTE variants library. as a comparison; this study implements nine classification methods to measure the performance of the resampled data with the non-resampled data. According to the results, SMOTE-ENN is generally the better resampling method since it produces a 0,97 F1 score under the Stacking classification method and the highest among others. However, the resampling method performs relatively low on the dataset with wider label variations. The future work of this study is to dig deeper into why the resampling method cannot handle the enormous class variation since the F1 score on the student dataset is lower than the other dataset.
Assessing Financial Information System Usability Using System Usability Scale (SUS) and Usability Metric for User Experience-Lite (UMUX-Lite) Suria, Ozzi
Jurnal Teknologi Sistem Informasi dan Aplikasi Vol. 7 No. 2 (2024): Jurnal Teknologi Sistem Informasi dan Aplikasi
Publisher : Program Studi Teknik Informatika Universitas Pamulang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32493/jtsi.v7i2.38723

Abstract

The rapid advancement in technology necessitates robust financial information systems (FIS) in educational institutions to manage the increasing complexity and volume of financial transactions. This study evaluates the usability of developed web-based Financial Information System for schools and the Foundation, designed to automate and streamline the management of student tuition fee records. The evaluation employs two prominent usability metrics: the System Usability Scale (SUS) and the Usability Metric for User Experience-Lite (UMUX-Lite). The SUS and UMUX-Lite are tools designed to quantitatively assess a system's usability and user satisfaction. The SUS provides a quick, reliable measure of a product's usability, while UMUX-Lite offers a concise evaluation of user satisfaction with less respondent time without compromising insight quality. Our research methodology included distributing questionnaires to 41 schools, employing SUS and UMUX-Lite questions to gather comprehensive feedback on the FIS's usability. Analysis of the data revealed a SUS score of 77.5, placing the system's usability in the "B+" category, indicative of good user satisfaction. The UMUX-Lite score was slightly higher at 81.69, reflecting excellent usability and aligning with user needs and ease of use. These results affirm the effectiveness of the developed FIS, highlighting its potential to significantly improve financial management processes within schools. The close correlation between SUS and UMUX-Lite scores underscores the system's robustness and intuitive design, suggesting that minor enhancements could further elevate its usability and overall user experience. This study contributes to the field by demonstrating the practical application of SUS and UMUX-Lite in evaluating the usability of financial information systems in educational settings, offering insights for future system enhancements and user-centered design practices.
Co-Authors Albert Yakobus Chandra Ibrahim, Norshahila Prasetyaningrum, Putri Taqwa Pratama, Irfan Saputra, Fendi Pradana