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Pengembangan Program Pencegahan dan Penanganan Kekerasan di SMA Negeri 1 Kersana, Kabupaten Brebes
Jurnal Riset Rumpun Ilmu Pendidikan
Vol 5
, No 1
(2026)
The phenomenon of student brawls has become a source of pride for those with violent tendencies, especially among students. As a result, the phenomenon of student brawls in Indonesia has recently become commonplace. In fact, these brawls have shifted from mere physical fights to violent acts connected directly to social media (live streaming). SMAN 1 Kersana, as a school that is concerned about this phenomenon, has taken anticipatory steps to prevent its students from becoming victims or perpetr...
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Implementasi Program Sekolah Ramah Anak melalui Sosialisasi Anti-Perundungan di SMA N 1 Kersana Brebes
Jurnal Hasil Kegiatan Bersama Masyarakat
Vol 3
, No 6
(2025)
Bullying in secondary schools is a serious issue that affects students’ psychosocial well-being and academic achievement, and significantly disrupts the learning climate and the quality of social relationships among students. This community service activity aimed to implement the Child-Friendly School Program through anti-bullying socialization at SMA N 1 Kersana in order to enhance the understanding and commitment of all school members in creating a safe, inclusive, and sustainable learning env...
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Deteksi Serangan Mirai Pada IoT Menggunakan Recurrent Neural Network (RNN) dengan Optimasi Hyperparameter Berbasis Bayesian Optimization
Muhammad Ilham Mansis
; Riza Pahlevi
; Ronald Naibaho
; Eko Arip Winanto
Prosiding Seminar Nasional Ilmu Teknik
Vol 2
, No 2
(2025)
The massive adoption of Internet of Things (IoT) devices is expanding the cyberattacks surface, particularly by the Mirai botnet, which exploits the dynamic characteristics of data traffic. This research proposes a Mirai detection approach based on a Recurrent Neural Network (RNN) optimized using Bayesian Optimization to improve prediction accuracy on sequential data. Unlike previous studies, this research utilizes the latest CIC IoT-DIAD 2024 dataset and applies probabilistic optimization to th...
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Analisis Performa Model Random Forest dan Support Vector Regression untuk Prediksi Suhu Maksimum Harian di Kota Jambi
R. Zaevan Khazafi Putra
; Riza Pahlevi
; Ronald Naibaho
; Agus Nugroho
Prosiding Seminar Nasional Ilmu Teknik
Vol 2
, No 2
(2025)
The dynamic changes in weather patterns in Jambi City require an accurate temperature prediction system, thus this study aims to compare the performance of Random Forest and Support Vector Regression (SVR) algorithms in predicting daily maximum temperatures using weather data from 2020–2024 obtained from OpenMeteo with the application of Feature Engineering including lag and rolling window features. The test results indicate that the SVR model with a Radial Basis Function (RBF) kernel optimized...
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Penerapan Machine Learning untuk Klasifikasi Tingkat Produktivitas Pabrik Karet GAPKINDO Jambi
Riza Pahlevi
; Wilujeng Niar Raharjanto
; Lies Aryani
; Roby Setiawan
Prosiding Seminar Nasional Ilmu Teknik
Vol 2
, No 2
(2025)
Jambi Province is one of the largest natural rubber producing regions in Indonesia; however, rubber factories under GAPKINDO Jambi still face productivity issues, particularly the gap between production capacity and actual output, and productivity assessment that is still conducted manually by GAPKINDO Jambi. This study employs Decision Tree, Random Forest, KNN, and SVM algorithms within a structured pipeline involving preprocessing, feature selection, standardization, data balancing using SMOTE...
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