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All Journal Abdi Jurnal Publikasi MULTIPLE: Journal of Global and Multidisciplinary Jurnal Ilmu Komputer
Makhsun
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Religion Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Languange, Linguistic, Communication & Media Social Sciences Other

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SOSIALISASI PENERAPAN TEKNOLOGI MODIFIKASI CUACA UNTUK PENGENDALIAN BENCANA BANJIR Tukiyat; Makhsun; Murni Handayani; Hesti Rahayuningsih; Hartanto
Abdi Jurnal Publikasi Vol. 3 No. 6 (2025): Juni
Publisher : Abdi Jurnal Publikasi

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Abstract

The increasing intensity of climate change has triggered a rise in the frequency and impact of hydrometeorological disasters in Indonesia, such as floods, droughts, and forest fires. This condition demands the strengthening of community capacity in understanding and anticipating disaster risks. This Community Service (PKM) activity aims to educate the people of Ciomas District, Bogor Regency, about hydrometeorological disaster mitigation and the introduction of Weather Modification Technology (WMT) as an adaptive solution. The implementation methods included seminars, counseling sessions, interactive discussions, and evaluations through pre-tests and post-tests. The results show that the majority of participants came from civil servants and village apparatus (48%), with 83% stating that the material was easy to understand. A significant increase in understanding was recorded from pre-test to post-test, indicating effective material delivery. Additionally, participants expressed high enthusiasm for utilizing technology in disaster management, particularly WMT. These findings reinforce the importance of continuous dissemination of disaster information through information technology to the public. This activity contributes positively to building community preparedness in facing climate change and supports collaboration between academia, government, and the public in scientific-based disaster mitigation strategies. In the future, further assistance is needed to encourage the local implementation of adaptive technologies.
Pengembangan Sistem Absensi Siswa Berbasis Internet Of Things Menggunakan Fingerprint Dengan Integrasi Api Whatsapp Di SMA PGRI 83 Legok Kabupaten Tangerang Megi Saputra; Makhsun; Ahmad Musyafa
urn:multiple://2988-7828multiple.v3i54
Publisher : Institute of Educational, Research, and Community Service

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Teknologi Internet of Things (IoT) telah memberikan dampak yang signifikan dalam berbagai aspek kehidupan, termasuk dalam dunia pendidikan. Di dalam lingkungan sekolah, penting untuk memiliki sistem absensi yang efisien dan akurat untuk memantau kehadiran siswa. Oleh karena itu, dalam penelitian ini, kami merancang dan mengembangkan aplikasi Absensi siswa yang memanfaatkan teknologi sidik jari berbasis IoT untuk mengelola absensi siswa di SMA PGRI 83 Legok. Metode yang digunakan dalam penelitian ini melibatkan beberapa tahap pengembangan sistem, yaitu analisis kebutuhan, perancangan sistem, implementasi, dan evaluasi. Pada tahap analisis kebutuhan, kami mengidentifikasi masalah dalam proses absensi manual yang saat ini digunakan di SMA PGRI 83 Legok. Kemudian, kami merancang sistem absensi berbasis IoT yang mengintegrasikan teknologi sidik jari dengan jaringan komputer yang ada di sekolah. Implementasi aplikasi Absensi siswa dilakukan dengan membangun infrastruktur IoT yang terdiri dari sidik jari sensor, server, dan perangkat lunak. Siswa dapat melakukan absensi dengan menempelkan sidik jari mereka pada sensor yang terhubung dengan server melalui jaringan. Data absensi siswa yang diperoleh disimpan dalam database untuk keperluan pengolahan dan pelaporan. Evaluasi aplikasi dilakukan dengan melibatkan siswa di SMA PGRI 83 Legok. Hasil evaluasi menunjukkan bahwa aplikasi absensi siswa mampu meningkatkan efisiensi dan akurasi proses absensi, mengurangi kesalahan manusia, serta memudahkan pengelolaan data absensi. Selain itu, penerapan teknologi sidik jari juga memberikan tingkat keamanan yang lebih tinggi dalam sistem absensi.
Analisis Kuantitatif Dampak Endorsement Politik Terhadap Tingkat Elektabilitas Pada Pilkada Serentak 2024 Fristiyanto, Doni; Makhsun
Jurnal Ilmu Komputer Vol 2 No 2 (2024): Jurnal Ilmu Komputer (Edisi Desember 2024)
Publisher : Universitas Pamulang

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 Simultaneous Regional Head Elections (Pilkada) in Indonesia took place on November 27 2024, covering 545 regions, including 37 provinces, 415 districts and 93 cities. Voter turnout reached an average of 71% nationally, reflecting public enthusiasm for the political process. This research also highlights the phenomenon of political endorsements from national figures which have proven effective in increasing candidate electability. To explore the phenomenon of political endorsement, this research uses Google News as a tool to collect and analyze relevant online news. The results of the analysis show that there is a significant correlation between the candidate's level of popularity and electability level, with a correlation value of 0.757. Apart from that, the level of positive sentiment towards candidate pairs also shows a strong correlation (0.74) with electability, indicating that candidates with high popularity and positive sentiment tend to have better electability. However, this research found that the number of political endorsements had a stronger influence on candidate electability, with a correlation value of 0.758. This shows that political endorsement can be a more significant determining factor in increasing electability compared to just relying on popularity or positive sentiment. This research provides important insights into the role of political endorsements as an effective strategy in increasing voter support for certain candidates.
Analisis Sentimen Pengguna Twitter Terhadap Universitas Pamulang Periode Penerimaan Mahasiswa Gelombang I Tahun Ajaran 2024/2025 Rohmani, Muhammad Faqih; Makhsun
Jurnal Ilmu Komputer Vol 3 No 1 (2025): Jurnal Ilmu Komputer (Edisi Juli 2025)
Publisher : Universitas Pamulang

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Abstract

The development of information technology has had a significant impact on various aspects of life, including education. One of the universities that has gained public attention is Universitas Pamulang. As one of the largest private higher education institutions in Indonesia, Universitas Pamulang needs to continuously improve. One of the key references for these improvements is public opinion. To understand public opinion regarding Universitas Pamulang, an analysis was conducted on the social media platform Twitter. Therefore, this study examines public sentiment toward Universitas Pamulang using Twitter data and the Naïve Bayes method. The Naïve Bayes method was chosen due to its advantages in text classification, particularly in sentiment analysis. The research data was collected from Twitter during the first wave of new student admissions for the 2024/2025 academic year. The analysis process involved identifying the dominant sentiment (positive, negative, or neutral) in public opinion, exploring the institution's strengths and weaknesses, and providing recommendations for improving the quality of academic services, administration, and the reputation of Universitas Pamulang. The results of this study indicate that the Naïve Bayes algorithm can be effectively used for sentiment analysis, achieving a high level of accuracy. This research is expected to contribute academically to sentiment analysis studies in the higher education sector in Indonesia.
Sentimen Analisis Kesehatan Mental Anxiety dengan Metode Decision Tree Menggunakan Software Orange Eva Fauziah; Makhsun
Jurnal Ilmu Komputer Vol 3 No 1 (2025): Jurnal Ilmu Komputer (Edisi Juli 2025)
Publisher : Universitas Pamulang

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Abstract

Mental health, particularly anxiety disorders, has become a global concern due to the rising prevalence of mental health issues worldwide. Anxiety significantly affects individuals' quality of life and productivity, making it essential to accurately analyze and detect its symptoms. This study aims to apply the decision tree method for sentiment analysis of anxiety in texts collected from various sources such as mental health forums and social media. The decision tree method was chosen for its simplicity and effectiveness in classifying data based on identified patterns. Orange software was utilized to build the classification model due to its user-friendly interface and visualization capabilities. The results indicate that the decision tree model was able to effectively identify anxiety patterns in the texts, contributing to a better understanding of sentiment analysis in the mental health context. This study also introduces a more accessible approach for practitioners and researchers in this field.
Co-Authors Ahmad Musyafa Eva Fauziah Fristiyanto, Doni Hartanto Hesti Rahayuningsih Megi Saputra Murni Handayani Rohmani, Muhammad Faqih Tukiyat