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All Journal AnoaTIK: Jurnal Teknologi Informasi dan Komputer
Gusti Arviana Rahman
Universitas Halu Oleo
Computer Science & IT

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ANALISIS KLASIFIKASI KEPUASAN MAHASISWA TERHADAP PENYELENGGARAAN PELAYANAN AKADEMIK FMIPA UNIVERSITAS HALU OLEO MENGGUNAKAN ALGORITMA RANDOM FOREST Auni Tiftazani; Andi Tenriawaru; Gusti Arviana Rahman
AnoaTIK: Jurnal Teknologi Informasi dan Komputer Vol 2 No 2 (2024): Desember 2024
Publisher : Program Studi Ilmu Komputer FMIPA-UHO

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33772/anoatik.v2i2.64

Abstract

Student satisfaction with academic services is an important indicator for assessing the performance of higher education institutions. This research aims to measure the level of satisfaction of Halu Oleo University FMIPA students with the academic services provided. It is hoped that the results of this research can help universities improve inadequate services and maintain or improve the quality of services that are already good. This research uses quantitative methods with a survey approach. Data was obtained through a questionnaire filled out by 91 FMIPA students at Halu Oleo University. Data analysis was carried out with the Random Forest algorithm using R Studio software. The analysis process includes data cleaning, dividing data into training data and test data, as well as classification using Random Forest. Model evaluation was carried out with a confusion matrix and k-fold cross-validation to ensure the accuracy and reliability of the classification results. The research results show that the Random Forest algorithm can classify student satisfaction levels with 94% accuracy. The factors that most influence student satisfaction are assurance (guarantee), tangibles (physical evidence), reliability (reliability), responsiveness (responsiveness), and empathy (empathy).
ANALISIS SENTIMEN PENGGEMAR SEPAK BOLA TERHADAP PROSES NATURALISASI PEMAIN TIMNAS INDONESIA PADA MEDIA SOSIAL X MENGGUNAKAN SUPPORT VECTOR MACHINE Amal Anugra; Natalis Ransi; Gusti Arviana Rahman
AnoaTIK: Jurnal Teknologi Informasi dan Komputer Vol 3 No 1 (2025): Juni 2025
Publisher : Program Studi Ilmu Komputer FMIPA-UHO

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33772/anoatik.v3i1.70

Abstract

Abstract The naturalization process for players for the Indonesian national team has become a hot topic of discussion among football fans. Social media, especially platform X, has become one of the main places for fans to express their opinions and sentiments regarding this matter. This research aims to analyze football fans' sentiments towards the naturalization process of Indonesian national team players using the Support Vector Machine (SVM) method. Sentiment analysis can be used to analyze supporters' opinions and group them into three categories, namely positive, neutral and negative. This research uses the Support Vector Machine method to carry out classification which is carried out with a dividing line (hyperplane) that separates the classes in the data collection of supporters' tweets on social media X (twitter) who have opinions about naturalization. The research results show that the sentiment of Indonesian football fans towards the naturalization process for national team players mostly tends to be positive, with the proportion of positive sentiment reaching 38%, negative sentiment of 37%, and neutral sentiment of 25%. This analysis also reveals several factors that influence fan sentiment, including the performance of naturalized players on the field, football federation policies, and the influence of the media and public opinion.
Co-Authors Amal Anugra Andi Tenriawaru Auni Tiftazani Natalis Ransi