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All Journal Journal of Renewable Energy and Mechanics Jurnal Teknik Informatika (JUTIF) Indonesian Research Journal on Education
Pambudi, Satrio
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Religion Arts Humanities Automotive Engineering Chemistry Computer Science & IT Education Energy Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Mathematics Mechanical Engineering Physics Social Sciences Other

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Sentiment Analysis of Fizzo Novel Application Using Support Vector Machine and Naïve Bayes Algorithm with SEMMA Framework Pambudi, Satrio; Setiaji, Pratomo; Triyanto, Wiwit Agus
Jurnal Teknik Informatika (Jutif) Vol. 6 No. 4 (2025): JUTIF Volume 6, Number 4, Agustus 2025
Publisher : Informatika, Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52436/1.jutif.2025.6.4.4875

Abstract

The increasing popularity of digital reading platforms in Indonesia, such as Fizzo Novel, has generated many user reviews that can be analyzed to understand their satisfaction. This study analyzes user sentiment toward Fizzo Novel using the SEMMA (Sample, Explore, Modify, Model, Assess) framework, and compares the performance of the Support Vector Machine (SVM) and Naïve Bayes algorithms. A total of 139,759 reviews were collected from the Google Play Store through web scraping. The data was then processed through normalization, tokenization, lexicon-based sentiment labeling, and feature extraction using TF-IDF. To address class imbalance, the SMOTE technique was applied. The results showed that SVM achieved the highest accuracy, exceeding 96%, with a consistent F1-score across all sentiment classes. In contrast, Naïve Bayes recorded lower accuracy (75.82% before SMOTE and 73.63% after SMOTE), along with a decline in performance for the neutral class. SVM proved more reliable in handling large and imbalanced text data. Practically, the results of this study can help application developers such as Fizzo Novel in automatically understanding user opinions. With an accurate sentiment classification model, developers can monitor reviews in real-time, identify issues such as excessive advertising or an unpopular chapter division system, and design feature improvements based on real user needs. This research also provides a foundation for algorithm selection in future large-scale sentiment analysis projects and recommends SVM as the more appropriate choice in this context.
Pelatihan Pemrograman Dasar Python:: Meningkatkan Literasi Teknologi Siswa melalui Pembuatan Game Tebak Angka di SMAN 1 Pamotan Pambudi, Satrio; Setiawan, Arif
Indonesian Research Journal on Education Vol. 5 No. 1 (2025): Irje 2025
Publisher : Fakultas Keguruan dan Ilmu Pendidikan, Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/irje.v5i1.1851

Abstract

Perkembangan teknologi di era digital menuntut generasi muda untuk memiliki keterampilan teknologi guna menghadapi tantangan masa depan. Pelatihan Dasar Python Membuat Game Tebak Angka di SMA N 1 Pamotan bertujuan untuk meningkatkan literasi teknologi siswa melalui penguasaan dasar pemrograman Python. Program berbasis proyek ini mengajarkan konsep logika pemrograman seperti perulangan (loop), pengambilan keputusan (if-else), dan penggunaan fungsi input/output dengan membuat game "Tebak Angka." Diikuti oleh 30 siswa kelas X dan XI, pelatihan ini menunjukkan antusiasme tinggi, dengan siswa berhasil memahami materi dan mengembangkan fitur kreatif dalam game. Evaluasi menunjukkan skor rata-rata pemahaman siswa terhadap konsep perulangan, pengambilan keputusan, dan fungsi input mencapai kategori "Baik" hingga "Sangat Baik". Program ini mengembangkan kemampuan berpikir logis, analitis, dan kreatif siswa, mendukung implementasi Kurikulum Merdeka, serta mempersiapkan siswa menghadapi tantangan dunia kerja di era digital.
Effect of Quenching Medium and Tempering Temperature on Microstructure and Hardness of JIS SUP 9 Steel: Pengaruh Media Pendingin dan Temperatur Tempering pada Mikrostruktur dan Kekerasan Baja JIS SUP 9 Harmaji, Andrie; Korda, Akhmad Ardian; Ramadhan, Rama; Pambudi, Satrio
Journal of Renewable Energy and Mechanics Vol. 6 No. 01 (2023): REM VOL 6 NO 01 2023
Publisher : UIR PRESS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25299/rem.2023.10973

Abstract

JIS SUP 9 steel is one of the materials commonly used for suspension components in motorized vehicles with medium carbon steel base material. It must have good hardness and toughness so that failure does not occur during operational. This research was conducted to increase the hardness of JIS SUP 9 Steel through a heat treatment and various quenching media. The heat treatment was carried out with 830-880ºC temperature with a holding time of 7 minutes then cooled using water and oil. After treatment, tempering was carried out with a holding time of 7 minutes and then cooled in room temperature. Hardness testing was carried out using Microhardness Vickers and then the microstructure was observed using an Olympus Metallurgical Microscope. The results show that heat treatment followed by rapid cooling increases the initial hardness of JIS SUP 9 (229 VHN) steel. The decrease in hardness after the tempering process will be higher with increasing tempering temperature. The results of the microstructure of the sample without heat treatment showed pearlite and ferrite phases. After heat treatment, tempered martensite, residual austenite and carbide phases appear. It can be concluded that changes in the microstructure affect the hardness of JIS SUP 9 steel.
Co-Authors Akhmad Ardian Korda, Akhmad Ardian Arif Setiawan Harmaji, Andrie Pratomo Setiaji Ramadhan, Rama Wiwit Agus Triyanto