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All Journal Jurnal TIMES Conference on Innovation and Application of Science and Technology (CIASTECH) Proceedings of Annual Conference for Muslim Scholars G-Tech : Jurnal Teknologi Terapan Idealis : Indonesia Journal Information System Jurnal Teknik Informatika (JUTIF) Journal of Students‘ Research in Computer Science (JSRCS) Jurnal Teknologi Kimia Unimal INOTEK Jurnal Pengabdian Masyarakat - Teknologi Digital Indonesia Jurnal Teknik Terapan (J-TETA) JUSIFOR : Jurnal Sistem Informasi dan Informatika Journal of Artificial Intelligence and Digital Business Adopsi Teknologi dan Sistem Informasi Nuras : Jurnal Pengabdian Kepada Masyarakat Eastasouth Journal of Effective Community Services JUSTIFY : Jurnal Sistem Informasi Ibrahimy JEECS (Journal of Electrical Engineering and Computer Sciences) COREAI: Jurnal Kecerdasan Buatan, Komputasi dan Teknologi Informasi "JAMASTIKA" Jurnal Mahasiswa Teknik Informatika Jurnal Ilmiah Multidisiplin Nusantara Mutiara: Multidiciplinary Scientifict Journal Abdi Samulang : Jurnal Pengabdian Kepada Masyarakat SmartComp Jurnal Pengabdian Sosial JUAN: Jurnal Pengabdian Nusantara ZONA: Jurnal Pengabdian Masyarakat JAR'S (Journal of Advanced Research in Informatics) Jurnal Pengabdian Masyarakat Ekonomi dan Bisnis Digital JUKEMAS : Jurnal Pengabdian Kepada Masyarakat
Fatah, Zaehol
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Journal : G-Tech : Jurnal Teknologi Terapan

 1 
Comparative Study of Naïve Bayes Classifier and Support Vector Machine Methods in Public Sentiment Analysis of Prabowo-Gibran's Free Lunch Program Febrian, Fikri; Fatah, Zaehol; Baijuri, Achmad
G-Tech: Jurnal Teknologi Terapan Vol 9 No 3 (2025): G-Tech, Vol. 9 No. 3 July 2025
Publisher : Universitas Islam Raden Rahmat, Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70609/g-tech.v9i3.7248

Abstract

In today's digital era, social media has become the main platform for people to voice their opinions on social and political issues. One of the most discussed topics is the free lunch program of President-elect Prabowo Subianto and Vice President-elect Gibran Rakabuming Raka. The program triggered various public reactions, making it relevant for sentiment analysis. The purpose of this study is to compare the performance of two text classification algorithms-Naïve Bayes and Support Vector Machine (SVM)-in classifying public sentiment towards the program. The dataset was obtained from Kaggle, with 657 initial data. After preprocessing, 156 data remained, consisting of 127 negative sentiments and 31 positive sentiments. Data processing followed the CRISP-DM framework, with Python and Scikit-learn used in model training. The results showed that the naive bayes classifier performed better with 84.38% accuracy, 86.90% precision, and 84.38% recall. Support Vector Machine showed lower performance in all metrics. In addition, the Naive Bayes Classifier was able to classify sentiments in a more balanced manner. The analysis was performed using Jupyter Notebook, and the final model was implemented through a Streamlit-based web interface.
Design of Mobile and Web-Based Geolocation Attendance and Payroll Information System for Teachers And Employees at Madrasah Aliyah As'adiyah Meneng Ketapang Banyuwangi Mahtum, Rohiqim; Fatah, Zaehol; Homaidi, Ahmad
G-Tech: Jurnal Teknologi Terapan Vol 9 No 3 (2025): G-Tech, Vol. 9 No. 3 July 2025
Publisher : Universitas Islam Raden Rahmat, Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70609/g-tech.v9i3.7332

Abstract

Attendance recording and payroll management are important elements in maintaining discipline and operational efficiency in madrasahs. Currently, Madrasah Aliyah As'adiyah Meneng Ketapang uses a manual system based on attendance sheets and spreadsheets, which are prone to errors and data manipulation. To address this issue, this study designed and developed a geolocation-based attendance and payroll information system accessible via mobile and web platforms. Key features include location validation within a 20-meter radius, selfie photo verification, fake GPS detection, and automatic payroll calculation based on attendance and teaching hours. The system was developed using the Waterfall model through field observations, interviews, and literature reviews. Evaluation using Blackbox Testing involving actual users showed that all system functions operated as expected, with no significant errors identified. This system improves accuracy, efficiency, and transparency in the attendance and payroll processes. However, this research is limited to small-scale madrasahs and Android-based platforms. Future development should include better fraud detection methods and integration with broader academic management systems to enhance scalability and functionality.
Co-Authors ., Arwani ABDUS SAMAD Abrori, Syariful Adi Susanto Adiba, Naila Afandi, Muhammad Dzikry Afifah, Fatma Nur Ahmad Afandi Ahmad Homaidi Aini, Imroatin Arifatul Aizah, Nur Akhlis Munazilin, Akhlis Alfiansyah, Noer Dian Alwi, As'ad Anisa, Halifatus Ardiansyah, Lukman Hakim Arsyad, M. Qoyis Auza’I Atika, Komang Nitari Badrus Sholeh Bahauddin, Moh. Baijuri, Achmad Candra, Ongky Ali Damayanti, Alfina Damayanti Diandhita, Safna Dwi Norrepa Efendi, Ahmad Fadil Dwi Fahimurridho, Ahmad Faidah, Mutmainnah Ilmiatul Febrian, Fikri Fernando, Ahmad Wahyu Firmandala, Legi Octa Sofyan Ghani, Farhan Ahnaf Halilatul Muallafa Hamdani, A. Hasan Basri Holidiyah, Na'imatul Homaida, Nur Ida Ayu Putu Sri Widnyani irma yunita Ismael, Kharisma Ayu Jundanuddin, Muhammad Lazim, Farihin Lidimilah, Lukman Lidimilah, Lukman Fakih Lutfi, Zainul Lutfiana, Nurisma Mahdi, Aminullah Moh. Mahtum, Rohiqim Majid, Muhammad Sabilillah Marwan Marwan Muasaroh, Yurida Islahatul Muhammad, Aqil Furqoni Mulianingsih, Suci Muqtadir, Faidhul Nafi'ah, Lailin Nazila, Jamilatun Nur Indahsari, Luluk Nurdiana, Alfi Nurhasanah, Yeni Nuril Maghfiratus Sholeha, Siti Prasetyo, Jarot Dwi Qori'ah, Arafah Amaliyah Qori'ah, Arifah Amaliyah Rahmawati, Nurul Qolbi Rofiq, Ahmad Tahqiq Safitri, Lulu Saleh, Taufik Samsul Arifin Santoso, Firman Saputra, Zuhrian Nur Sari, Iin Puspita Savira, Anggita Yusiana Shidqin, Lalu Habil Mudkhola Shihab, As’ad Alwi Sinta, Sinta Masruroh Siti Khoiriyah Sobri, Miftahus Syakirin, Muhammad Irham Taufik Hidayat Tholibah, Wafrotut Uswatul Muftakiyah Wilda, Sufil Zubairi, Ach. Zulkarnain, Bagus Maulana