Article Per Year (5 Year)
p-Index From 2020 - 2025
0.408
P-Index
This Author published in this journals
All Journal Bulletin of Electrical Engineering and Informatics Jurnal Layanan Masyarakat (Journal of Public Service)
Fakhruzzaman, Muhammad Noor
Unknown Affiliation
Humanities Decision Sciences, Operations Research & Management Electrical & Electronics Engineering Environmental Science Social Sciences Other

Published : 2 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 2 Documents
Search

 1 
IndoPolicyStats: sentiment analyzer for public policy issues Fakhruzzaman, Muhammad Noor; Jannah, Sa'idah Zahrotul; Gunawan, Sie Wildan; Pratama, Angga Iryanto; Ardanty, Denise Arne
Bulletin of Electrical Engineering and Informatics Vol 13, No 1: February 2024
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/eei.v13i1.5263

Abstract

The government requires some vaccination for public health. This has led to a debate in recent years, especially during the Covid-19 pandemic. This research aims to analyze the two sentiments of the public regarding the vaccination policy. This would be helpful to ensure the acceptance of the government campaign about vaccination. The data used was text data obtained from Twitter when Indonesia was facing the second wave of the Covid-19 pandemic. The data were pre-processed by removing noise data, case folding, stemming, and tokenizing. Then, the data were classified with random forest, Naïve Bayes, and XGBoost. The results showed that all classifiers exhibit satisfying performance but XGBoost performs slightly better in accuracy value. This method can be deployed to be an automatic sentiment analyzer to help the government understand public feedback about its policies. This would be given by proper pre-processing and enough datasets.
THE USE OF GOOGLE SITES FOR TEACHERS AND ADMINISTRATIVE PERSONNEL AS AN EFFORT FOR STUDENT DATA MANAGEMENT EFFICIENCY AT SMPN 19 SURABAYA & SMPN 52 SURABAYA Ghani, Mohammad; Fakhruzzaman, Muhammad Noor; Maryamah; Susanto, Putri Dwidhamayanti; Basuki, Lintang Sabrang Kinasih
Jurnal Layanan Masyarakat (Journal of Public Services) Vol. 8 No. 4 (2024): JURNAL LAYANAN MASYARAKAT
Publisher : Universitas Airlangga

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20473/jlm.v8i4.2024.486-500

Abstract

Utilization of student data can help teachers and school administration staff for management efficiency. This community service program in the form of Google Sites training seeks to help improve the skills and knowledge of teachers and administration staff. This community service program is inseparable from the SDG's elements as the basic foundation for program implementation, namely: Quality Education (4th indicator), and Industry, Innovation, and Infrastructure (9th indicator). This aims to increase the skills and knowledge of teachers and administration staff and ultimately encourage innovation in creating student data management that can support school infrastructure. The method used as an effort to improve skills is by providing training as well as pre-tests and post-tests for participants. Based on statistical tests, there is a significant difference between the Pre-Test and Post-Test values, namely with an average value of 7.5 (Pre-Test) and 8.2 (Post-Test). Based on the Wilcoxon sign rank test, it also shows that there is a difference between the Pre-Test and Post-Test values ​​with a Wcount value <Wtable.
Co-Authors Ardanty, Denise Arne Basuki, Lintang Sabrang Kinasih Ghani, Mohammad Gunawan, Sie Wildan Jannah, Sa'idah Zahrotul Maryamah Pratama, Angga Iryanto Susanto, Putri Dwidhamayanti