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All Journal Humanism : Jurnal Pengabdian Masyarakat AnoaTIK: Jurnal Teknologi Informasi dan Komputer Mosaic: Jurnal Pengabdian Kepada Masyarakat
Gusti Arviana Rahman
Universitas Halu Oleo
Religion Humanities Computer Science & IT Education Environmental Science Public Health Social Sciences Other

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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.
Sosialisasi E-Modul Teknologi Informasi Berbasis Flipbook untuk Meningkatkan Literasi Digital Mahasiswa Muhammad Arfan; Andi Tenriawaru; Gusti Arviana Rahman
Mosaic: Jurnal Pengabdian Kepada Masyarakat Vol 2, No 3 (2025): Desember 2025
Publisher : Academic Bright Collaboration

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.66053/mosaic.v2i3.196

Abstract

Kegiatan ini bertujuan untuk meningkatkan literasi digital mahasiswa melalui sosialisasi dan implementasi modul pembelajaran Teknologi Informasi berbasis flipbook pada Program Studi Ilmu Komputer, Universitas Halu Oleo. Latar belakang kegiatan ini adalah belum tersedianya modul digital yang terstruktur dan komprehensif sebagai sumber belajar bagi mahasiswa dan dosen. Kegiatan dilaksanakan melalui beberapa tahapan, yaitu koordinasi dengan ketua program studi, branding e-modul melalui media sosial, sosialisasi dan uji coba di ruang kelas, serta pengumpulan testimoni mahasiswa. Metode pelaksanaan meliputi pendekatan partisipatif dan deskriptif evaluatif dengan melibatkan 76 mahasiswa sebagai responden. Data diperoleh melalui observasi, dokumentasi, dan kuesioner untuk mengukur tingkat penerimaan dan efektivitas e-modul. Hasil kegiatan menunjukkan bahwa mahasiswa memberikan respon sangat positif terhadap e-modul, dengan rata-rata tingkat kepuasan sebesar 89%. E-modul berbasis flipbook dinilai menarik, mudah digunakan, dan efektif dalam membantu pemahaman materi perkuliahan Teknologi Informasi. Kegiatan ini memberikan dampak nyata dalam meningkatkan literasi digital mahasiswa serta memperkuat integrasi teknologi pembelajaran di lingkungan kampus. Implementasi e-modul berbasis flipbook dapat menjadi model pembelajaran digital yang adaptif dan berkelanjutan dalam mendukung transformasi pendidikan di era digital.
TRANSFORMASI DIGITAL UMKM DI KENDARI: PELATIHAN PENGGUNAAN AI GENERATIF UNTUK PEMASARAN YANG EFEKTIF DAN HEMAT BIAYA Ferdinand Murni Hamundu; La Surimi; Gusti Arviana Rahman
Humanism : Jurnal Pengabdian Masyarakat Vol 6 No 3 (2025): Desember
Publisher : Universitas Muhammadiyah Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30651/hm.v6i3.28993

Abstract

Kegiatan pengabdian ini bertujuan untuk meningkatkan kemampuan pemasaran digital bagi pelaku UMKM di Kota Kendari melalui pelatihan penggunaan AI generatif. Dengan metode interaktif, sebanyak 25 pelaku UMKM diberikan jenis pelatihan meliputi praktik teknik copy writing, pembuatan video iklan dan optimasi iklan di media sosial, optimasi ChatGPT, dan pembuatan halaman arahan, serta pendampingan penerapan di usaha peserta. Hasil analisis menunjukkan peningkatan pemahaman peserta tentang pemasaran digital menjadi 92% sebelumnya 30% yang merasa paham, penghematan waktu hingga 50% dalam pembuatan konten, dan 95% peserta menyatakan bahwa penggunaan AI membantu mereka menghemat biaya promosi. Kegiatan ini membuktikan bahwa teknologi AI generatif dapat menjadi solusi strategis bagi UMKM dalam mengatasi tantangan pemasaran di era digital.
Co-Authors Amal Anugra Andi Tenriawaru Auni Tiftazani La Surimi Muhammad Arfan Natalis Ransi