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All Journal International Journal of Advances in Applied Sciences Lontar Komputer: Jurnal Ilmiah Teknologi Informasi Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) RABIT: Jurnal Teknologi dan Sistem Informasi Univrab Widya Cipta : Jurnal Sekretari dan Manajemen Applied Information System and Management JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) International Journal of Advances in Data and Information Systems Journal of Applied Data Sciences Jurnal Altifani Penelitian dan Pengabdian kepada Masyarakat Jurnal Janitra Informatika dan Sistem Informasi LEBAH Journal of Information System and Education Development
Malik, Rio Andika
Universitas Perintis Indonesia
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Pengukuran Tingkat Kepuasan Mahasiswa Terhadap Bahan Ajar Mata Kuliah PTI Menggunakan Algorithma K-Means Clustering Rio Andika Malik; Wilis Firmansyah
Jurnal Janitra Informatika dan Sistem Informasi Vol. 3 No. 2 (2023): Oktober - Jurnal Janitra Informatika dan Sistem Informasi
Publisher : Indonesian Scientific Journal

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25008/janitra.v3i2.174

Abstract

Media pembelajaran memiliki kedudukan yang sangat penting dalam mencapai tujuan pembelajaran secara efektif. Berbagai penelitian yang dilakukan terhadap penggunaan media dalam pembelajaran sampai pada kesimpulan bahwa proses dan hasil belajar setiap siswa menunjukkan perbedaan yang signifikan antara pembelajaran tanpa media dan pembelajaran menggunakan media. Penelitian ini menggunakan ilmu komputasi dan metode numerik dengan pendekatan model formulatif dimana pengolahan algoritma clustering menggunakan pemodelan K-Means memetakan dataset yang paling tepat sehingga dapat membantu menganalisis atau mengukur tingkat kepuasan suatu media pembelajaran. Hasil yang diperoleh dari evaluasi akan memberikan petunjuk kepada dosen tentang bagian mana dari media pembelajaran yang baik dan bagian mana yang kurang baik sehingga belum dapat mencapai tujuan pengembangan media pembelajaran yang dalam hal ini. Dengan menggunakan k-means diperoleh hasil evaluasi media pembelajaran studi kasus mata kuliah Pengenalan Teknologi Informasi menjadi 2 cluster. Dapat disimpulkan bahwa clustering hasil cluster dengan pemodelan K-Means mampu untuk menghasilkan akurasi cluster yang presisi.
Uncovering User Experience Evaluation in Nursing-English Several platforms Through SUS and PSSUQ Natrio, Yeyep; Malik, Rio Andika; Kasrin, Rinawati
JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) Vol 9, No 4 (2024)
Publisher : STKIP PGRI Tulungagung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29100/jipi.v9i4.6780

Abstract

The demand for English-proficient nurses in global healthcare settings has led to the development of multiple Nursing-English learning platforms. However, the user experience (UX) of these platforms significantly impacts their effectiveness in language learning. This study aims to evaluate the UX of several Nursing-English platforms using two established usability measurement tools: the System Usability Scale (SUS) and the Post-Study System Usability Questionnaire (PSSUQ). The primary objective is to uncover usability strengths and weaknesses across different platforms to improve the learning experience for nursing students. The research adopts a mixed-methods design, combining quantitative and qualitative data collection. A total of 109 nursing students from various universities in Sumatra, Indonesia, participated in this study. They were asked to use the Nursing-English platforms and evaluate them based on ease of use, system functionality, and information quality. The SUS provided an overall usability score for each platform, while the PSSUQ offered a more detailed breakdown across system usefulness, information quality, and interface quality. Results revealed an average SUS score of 84.85 across platforms, indicating a high level of user satisfaction. The PSSUQ scores corroborated these findings, with system usefulness and interface quality receiving the highest evaluations. The interactive content and relevance to nursing-specific language were highlighted as strengths, while areas for improvement included navigation and personalization features. Nursing-English platforms offer a generally positive user experience, with opportunities for optimization in user interface and learning customization. This study provides practical insights for enhancing Nursing-English learning tools to support students in preparing for global nursing careers.
Easily Determining Post-Study System Usability for Anime Community E-Commerce Analysis Malik, Rio Andika; Octafia, Sri Mona; Gunawan, Vicky Setia
Applied Information System and Management (AISM) Vol 7, No 2 (2024): Applied Information System and Management (AISM)
Publisher : Depart. of Information Systems, FST, UIN Syarif Hidayatullah Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15408/aism.v7i2.39352

Abstract

The rapid growth of e-commerce as a form of electronic commerce has transformed the global shopping landscape. To maintain user satisfaction and competitiveness, e-commerce sites must effectively understand and improve the usability of their systems after launch. The aims of the study are to improve e-commerce post-launch usability so that anime fans' enthusiasm can be capitalized upon for financial gain and market expansion. In this study, we adopted a combined approach that included user observations, interviews, surveys, and performance measurement for anime community e-commerce analysis Weeboo web commerce. Through this method, we analyze the behavior and views of users towards e-commerce systems. The results show that most users experience a positive experience in shopping online by appreciating the usability of the layout, search process, and fast checkout process. The results indicated that most users have a positive online shopping experience, appreciating the layout, search process, and fast checkout process. The SUS score of 75.375 (grade B) and the overall PSSUQ satisfaction score of 2.0296 indicate that the system is acceptably well-received. The proposed recommendations can help e-commerce companies quickly identify usability issues and implement relevant fixes.
Enhancing the Performance of Machine Learning Algorithm for Intent Sentiment Analysis on Village Fund Topic Anam, M. Khairul; Putra, Pandu Pratama; Malik, Rio Andika; Karfindo, Karfindo; Putra, Teri Ade; Elva, Yesri; Mahessya, Raja Ayu; Firdaus, Muhammad Bambang; Ikhsan, Ikhsan; Gunawan, Chichi Rizka
Journal of Applied Data Sciences Vol 6, No 2: MAY 2025
Publisher : Bright Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47738/jads.v6i2.637

Abstract

This study explores the implementation of Intent Sentiment Analysis on Twitter data related to the Village Fund program, leveraging Multinomial Naïve Bayes (MNB) and enhancing it with Synthetic Minority Over-sampling Technique (SMOTE) and XGBoost (XGB). The analysis categorizes tweets into six labels: Optimistic, Pessimistic, Advice, Satire, Appreciation, and No Intent. Initially, the MNB model achieved an accuracy of 67% on a 90:10 data split. By applying SMOTE, accuracy improved by 12%, reaching 89%. However, adding Chi-Square feature selection did not increase accuracy further. Incorporating XGB into the MNB+SMOTE model led to a 6% improvement, achieving a final accuracy of 95%. Comprehensive model evaluation revealed that the MNB+SMOTE+XGB model achieved 96% accuracy, 96% precision, 96% recall, and a 96% F1-score, with an AUC of 99%, categorizing it as excellent. These findings demonstrate that the combination of SMOTE for addressing class imbalance and XGBoost for boosting performance significantly enhances the MNB model's classification capabilities. The novelty lies in the integration of these techniques to improve intent sentiment classification for public opinion analysis on the Village Fund program. The results indicate that the majority of tweets labeled as "No Intent" reflect a lack of specific sentiment or actionable intent, providing valuable insights into public perception of the program.
The emergence of a technology-based scheme for monitoring and managing remembrance in Al-Quran knowledge Malik, Rio Andika; Octafia, Sri Mona; Werifmayeni, Annisa; Muzaki, M.Nabil
Lebah Vol. 18 No. 2 (2025): Maret: Pengabdian
Publisher : IHSA Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35335/lebah.v18i2.285

Abstract

Quran memorization education plays an important role in shaping children's character and spiritual intelligence from an early age. To improve the effectiveness of tahfiz learning, a system is needed that is not only harmonious but also manages memorization progress in a structured manner. This community service activity aims to develop a memorization management and monitoring system based on information technology in Early Childhood Tahfiz (TAUD). The main problem faced is the absence of an integrated system that allows comprehensive recording, evaluation, and reporting of memorization progress. The solution offered is the development of a web-based worksheet application that allows students, teachers, and parents to communicate and manage memorization progress in real-time. The methods used include needs assessment, system development, teacher training, application implementation, and evaluation of program success. The results of the evaluation through pre-test and post-test showed an average increase in understanding of +35.33 points for parents and +35 points for teachers after training and use of the system. Mentoring is carried out periodically to ensure continued use of the system. These results indicate that the use of technology can increase the effectiveness of memorization management and parental involvement in supporting children's tahfiz learning
Digital Transformation of Women-Owned MSMEs: Marketing Strategies to Adapt to The Dynamics of Consumer Behavior in The Digital Era Octafia, Srimona; Malik, Rio Andika; Widia, Elsa
Widya Cipta: Jurnal Sekretari dan Manajemen Vol 9, No 2 (2025): September
Publisher : Universitas Bina Sarana Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31294/widyacipta.v9i2.24504

Abstract

Women-owned MSMEs play a strategic role in the national economy. However, many women MSMEs do not yet have adequate digital capacity to respond to changes in consumer behavior that now rely on technology in making purchasing decisions. In addition, structural barriers such as limited access to technology and capital, as well as socio-cultural barriers such as gender stereotypes and double workloads, complicate the process of adopting digitalization. Although many studies discuss these challenges, there are still limited studies that specifically explore the digital marketing strategies implemented by women-owned MSMEs in response to the dynamics of consumer behavior, especially in the local context. This study aims to analyze the digital marketing strategies adopted by women-owned MSMEs in Padang City. The approach used is a mixed method with an explanatory sequential design, starting with a survey of 125 women MSMEs, followed by in-depth interviews. The findings of this study indicate a significant shift in consumer behavior in the digital era, emphasizing the importance of convenience and ease in purchasing decisions. Therefore, it is crucial for women-led MSMEs to understand these behavioral changes and master appropriate marketing strategies to thrive in this evolving market landscape.
Co-Authors Anam, M Khairul Carelsa, Hasnah Vithon Dwipa Junika Putra Dwipa Junika Putra Elsa Widia Elva, Yesri Faizal Riza Firdaus, Muhammad Bambang Gunawan, Chichi Rizka Ikhsan Ikhsan Karfindo, Karfindo Mahessya, Raja Ayu Marta Riri Frimadani Marta Riri Frimadani Marta Riri Frimadani Marta Riri Frimadani Muzaki, M.Nabil Natrio, Yeyep Pandu Pratama Putra, Pandu Pratama Putra, Dwipa Junika Rinawati Kasrin, Rinawati Sarjon Defit Sarjon Defit Sri Mona Octafia Teri Ade Putra Vicky Setia Gunawan Werifmayeni, Annisa Wilis Firmansyah Yuhandri Yuhandri Yuhandri Yuhandri, Yuhandri