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Analisis Sentimen Ulasan Game Simulator Indonesia di Google Play Store Menggunakan Algoritma Naive Bayes Meliyana R, sitti Masyitah; Sudarmin; Sabrina Effendy, Yuni
VARIANSI: Journal of Statistics and Its application on Teaching and Research Vol. 7 No. 2 (2025)
Publisher : Program Studi Statistika Fakultas MIPA UNM

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35580/variansiunm336

Abstract

Sentiment analysis is the process of text data to understand the opinion contained in a sentence. The commonly used algorithm in this analysis is the Naïve Bayes Classifier. Naive Bayes Classifier (NBC) is a classification that uses statistical and probabilistic methods to group texts into several categories of sentiments such as positive and negative. The Indonesian simulator game analyzed is Angkot d Game. This algorithm is used to understand users' perceptions of the game and to identify the factors that affect user sentiment. The results show that the Naive Bayes Classifier has a high level of accuracy in classifying the sentiments of simulator game reviews. The findings of this analysis are also expected to provide insights to game developers about user preferences and complaints, allowing them to adjust features or aspects of the game to better meet user needs. This enables game developers to make significant changes to the games they develop, potentially increasing revenue in the Indonesian gaming industry and focusing more on games created by local developers. Keywords: Simulator Game, Sentiment analysis, Naive Bayes Classifier.
Penerapan Metode Support Vector Regression (SVR) dalam Memprediksi Indeks Standar Pencemar Udara (ISPU) di Kota Makassar Sudarmin; Ruliana; Sasa Arisa, Sasa Arisa
VARIANSI: Journal of Statistics and Its application on Teaching and Research Vol. 7 No. 2 (2025)
Publisher : Program Studi Statistika Fakultas MIPA UNM

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35580/variansiunm400

Abstract

Air quality is a comprehensive indicator that reflects air pollution. The air quality index is defined as a description or value of the transformation of individual parameters of interrelated air pollution, such as PM10, SO2, CO, O3, NO2 into one value or a set of values ​​so that it is easy to understand for the general public. Therefore, predictions of the Air Pollutant Standard Index in the future are needed for future policy decision making. SVR is a development of Support Vector Machine (SVM) for regression cases. The aim of this study is to predict the Air Pollutant Standard Index (ISPU) in the future using the SVR method. In the SVR method, the best kernel is used as an aid in solving non-linear problems, the Min-Max Normalization method for data normalization, division of training and testing data, selection of the best model with Grid Search Optimization. The best prediction results were obtained using a radial kernel with values with parameters ​​ε = 0.1, C = 10, and γ = 1 with the smallest error of 0.0086, with an RMSE of 0.0894. The RMSE value indicates that the model's ability to follow data patterns well. From the model on the radial kernel, the predicted results of the Air Pollution Standard Index from January 1, 2025 to July 31, 2025 were obtained which were not constant or fluctuating with an interval range of 41,14 – 58,69 and based on the Air Pollution Standard Index category, it was in the fairly good category index.
Co-Authors Adi Nur Cahyono Agung Tri Prasetya Ahmad Farham Majid Alfairus, Muh. Qodri Amin, Badaruddin Amiruddin Hambali Andi Kusumayanti, Andi Anjarsari, Irna Ari Syahidul Shidiq Arif Widiyatmoko, Arif Ayu Pebriyanti Azqia Noviatun Nisa Baharuddin Baharuddin Abbas, Baharuddin Bambang Subali BENI SETIAWAN Budoyo, Joto Desi Utami Ellianawati Ermina Sari Fathiyah Marsya Tilawah Febriyanto, Hendra Fredy Supriadi Hardianti Hafid Harianingsih Helmiah, Fauriatun Hendra Febriyanto Ibrahim Ike Yunia Meka Jum’anil Agustini Kristanto, Tan Kevin Kurotul Aeni Luky Hidayat Martalasari Masnaeni Meliyana R, Sitti Masyitah Mita, Ermita Khoirumminsani Muhammad Naufal, Muhammad Muhammad Nur Hidayat Muhammad Rizki Muhammad Saefudin Nanik Wijayati Neli Syahida Ni'ma Ningtyas, Arin Ika Noening Andrijati Norma Eralia Norma Eralita Nurman, Sulaeman Nurul Rezky Nusrang, Muhammad Nyi Mas Ayu Ratna Gumilar Purbawati, Sih Yunika Putut Marwoto Rahmat Hidayat Rais, Zulkifli Raudhah Awal Ricky Rizaldi Risa Dwita Hardianti Ruliana Sabrina Effendy, Yuni Safitriani, Indah Sarwi Sasa Arisa, Sasa Arisa Siti Anisah Siti Suhartini Sitti Masyitah Meliyana R. Sri Anggini Wahyuningsih Sri Endang Pujiastuti, Rr Sri Haryani SRI RAHAYU Sri Sukasih SRI WARDANI Sri Yamtinah Sriwidiastuty, Asi Sukniasih Sulistyo Saputro Sunardi Syahputra, Akbar Tri Joko Raharjo Wahyu Lestari Woro Sumarni