Article Per Year (5 Year)
p-Index From 2021 - 2026
0.61
P-Index
This Author published in this journals
All Journal Journal of Artificial Intelligence and Engineering Applications (JAIEA) Journal of Computer Science and Information Technology
Rai Markus Panamuan
UNIVERSITAS BINA SARANA INFORMATIKA
Automotive Engineering Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Environmental Science Social Sciences

Published : 3 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 3 Documents
Search

 1 
Topic Modeling of Clash of Clans Player Reviews Using NLP-Based Latent Dirichlet Allocation (LDA) Machine Learning Method Rai Markus Panamuan; Debi Handika; Muhamad Rizki Pratama; Weiskhy Steven Dharmawan; Lady Agustin Fitriana; Riski Annisa
Journal of Artificial Intelligence and Engineering Applications (JAIEA) Vol. 5 No. 3 (2026): June 2026
Publisher : Yayasan Kita Menulis

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59934/jaiea.v5i3.2364

Abstract

The rapid growth of the mobile gaming industry has generated millions of player reviews on platforms like the Google Play Store. Clash of Clans, developed by Supercell, is one of the world's most popular mobile strategy games, generating a vast volume of user reviews that are difficult to analyze manually. This study applies Latent Dirichlet Allocation (LDA), a generative probabilistic machine learning model based on Natural Language Processing (NLP), to identify and cluster key topics discussed in player reviews on the Google Play Store. A total of 10,000 player reviews were collected through web scraping, followed by NLP-based text preprocessing including tokenization, stopword removal, and lemmatization. The LDA model was optimized using a coherence score evaluation of 0.512, resulting in the identification of five dominant discussion topics: technical issues and bugs, game updates and balance, gameplay and strategy, monetization and in-app purchases, and social interactions and clan systems. The results show that LDA-based topic modeling provides structured and actionable insights for game developers to understand player feedback and improve game quality. This research contributes to the field of NLP-based mobile game review analysis.
A COMPARATIVE STUDY BETWEEN ONLINE AND FACE-TO-FACE LEARNING METHODS ON STUDENT LEARNING OUTCOMES Saskia Renata; Debi Handika; Rai Markus Panamuan; Wanty Eka Jayanti
Journal of Computer Science and Information Technology Vol. 2 No. 4 (2025): September
Publisher : Yayasan Nuraini Ibrahim Mandiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70248/jcsit.v2i4.2613

Abstract

The development of digital technology has had a significant impact on the behavior of the younger generation, one of which is the increasing involvement in online gambling activities. This study aims to examine the impact of online gambling on social interaction and emotional stability of the younger generation. The method used is a quantitative study through data collection techniques using questionnaires, this study aims at children aged 16-26 years who are active or have been involved in online gambling. The results of the study show that involvement in online gambling causes a decrease in the quality of social interaction, such as withdrawing from the social environment, decreasing communication skills, and increasing conflict in interpersonal relationships. In addition, there were disturbances in emotional stability in the form of anxiety, excessive stress, uncontrolled anger, and symptoms of depression. Dependence on online gambling also interferes with cognitive function and decision-making, which has a negative impact on the psychological well-being of the younger generation. Therefore, preventive and curative efforts are needed from various parties, including families, educational institutions, and the government, to reduce the negative impacts of this phenomenon. Keywords: online gambling, social interaction, emotional stability, young generation
ANALISIS PEMAHAMAN BELAJAR SISWA PADA MATERI HIMPUNAN DAN OPERASI HIMPUNAN DI SEKOLAH MENENGAH (SMP) Rai Markus Panamuan; Saskia Renata; Rabiatus Saadah
Journal of Computer Science and Information Technology Vol. 3 No. 2 (2026): Maret
Publisher : Yayasan Nuraini Ibrahim Mandiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70248/jcsit.v3i2.3432

Abstract

Penelitian ini bertujuan untuk menganalisis tingkat pemahaman belajar siswa pada materi himpunan dan operasi himpunan di Sekolah Menengah Pertama (SMP), baik pada aspek pemahaman konseptual maupun prosedural. Metode penelitian yang digunakan adalah metode kuantitatif dengan teknik pengumpulan data menggunakan kuesioner berbasis skala Likert melalui Google Form. Responden dalam penelitian ini berjumlah 20 siswa SMP/SMK Cahaya Harapan Tayan, Kecamatan Tayan Hilir, Kabupaten Sanggau. Data dianalisis menggunakan perhitungan rata-rata dan disajikan dalam bentuk tabel serta diagram lingkaran. Hasil penelitian menunjukkan bahwa tingkat pemahaman siswa terhadap materi himpunan dan operasi himpunan berada pada kategori baik hingga sangat baik dengan rentang nilai rata-rata sebesar 3,80–4,20. Aspek pemahaman konseptual memperoleh hasil lebih tinggi, terutama pada indikator memahami pengertian himpunan dan membedakan himpunan kosong dengan himpunan semesta. Sementara itu, aspek pemahaman prosedural masih menunjukkan beberapa kesulitan, khususnya pada kemampuan menggambarkan diagram Venn, menyelesaikan operasi himpunan, dan menggunakan rumus banyaknya anggota gabungan himpunan. Hasil diagram lingkaran juga menunjukkan bahwa jawaban responden relatif merata pada setiap indikator. Simpulan penelitian ini menunjukkan bahwa pemahaman siswa terhadap materi himpunan dan operasi himpunan tergolong baik, namun masih diperlukan peningkatan pada aspek prosedural melalui penggunaan media pembelajaran visual, latihan soal kontekstual, dan strategi pembelajaran yang lebih interaktif agar kemampuan siswa dalam menerapkan konsep matematika dapat berkembang secara optimal.  
Co-Authors Debi Handika Lady Agustin Fitriana Muhamad Rizki Pratama Rabiatus Saadah Riski Annisa Saskia Renata Saskia Renata Wanty Eka Jayanti Weiskhy Steven Dharmawan