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Sosialisasi Anti Perundungan untuk Meningkatkan Kesadaran Siswa di SMPN 1 Gending Kabupaten Probolinggo Hikmah, Nuzul; Handayani, Dwi Iryaning; Iswardani, Kurnia; Misdiyanto, Misdiyanto; Arista, Hermin; Rahma, Ary Analisa; Rohman, Kholilur; Akmalia, Dewi
Jurnal Pengabdian Masyarakat dan aplikasi Teknologi Vol. 05 No. 01: March 2026
Publisher : Institut Teknologi Adhi Tama Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31284/j.adipati.2026.v5i1.8277

Abstract

Perundungan atau bullying masih menjadi masalah serius di lingkungan sekolah yang berpotensi memberikan dampak negatif terhadap perkembangan fisik, emosional, dan sosial siswa. Kegiatan pengabdian masyarakat ini bertujuan untuk meningkatkan pemahaman siswa SMPN 1 Gending, Kabupaten Probolinggo mengenai bahaya perundungan serta strategi pencegahannya melalui sosialisasi perundungan (anti-bullying). Kegiatan ini dilakukan pada bulan Agustus 2025 dengan peserta siswa kelas VIII sebanyak 197 orang. Metode yang digunakan mencakup ceramah interaktif, diskusi tanya jawab, game edukatif, dan simulasi peran (role play). Hasil kegiatan menunjukkan peningkatan pemahaman siswa terkait definisi, bentuk, dampak, dan strategi penanganan perundungan (anti-bullying). Siswa juga menunjukkan antusiasme tinggi, berpartisipasi aktif dalam diskusi, serta mampu mengidentifikasi sikap yang tepat ketika menghadapi situasi perundungan. Evaluasi dari pihak sekolah dan dosen pendamping menegaskan bahwa program ini efektif dalam menumbuhkan kesadaran siswa untuk menciptakan lingkungan belajar yang aman, ramah anak, dan bebas dari perundungan. Dengan demikian, sosialisasi anti perundungan (anti-bullying) ini memberikan kontribusi nyata dalam membangun budaya saling menghormati di sekolah dan dapat direplikasi secara berkelanjutan dengan melibatkan orang tua maupun komunitas.
INTEGRATED RISK MANAGEMENT MODEL RELATED TO OCCUPATIONAL SAFETY IN MULTI-STOREY BUILDINGS Handayani, Dwi Iryaning
JEMIS (Journal of Engineering & Management in Industrial System) Vol. 6 No. 1 (2018)
Publisher : Industrial Engineering Department, Faculty of Engineering, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21776/ub.jemis.2018.006.01.4

Abstract

The goal of this research is to apply risk management model related to the Occupational Health and Safety (OHS) by integrating Causal Effects Diagram (CED), Analytic Network Process (ANP) and Interpretive Structural Modeling (ISM). The research method consists of three (3) stages. Stage 1) Using CED method to know the correlation between the risks and their causes. Stage 2) Making an assessment by using Analytic Network Process (ANP) with Software Matlab, stage 3) Interpretive Structural Modeling (ISM) is used to get the model of connectivity in mitigation of occupational accident. From ANP method, it is clear that the dominant potential risk in structural phase is 44% and the highest cause of accident by human factor is 77%, and it is due to the unsafe behavior. ISM method is used to know the mitigation in reducing the occupational accident risks, namely improvement of Occupational Health and Safety (OHS) management, Each Scaffolding establishment must be inspected by a certified expert, the working methods must obey the Indonesian National Standard (SNI), The risk control should be done in relation to potential cause of occupational accident which can minimize the risk on construction work (zero accident).
Integrasi FMEA–FTA–Bowtie untuk Identifikasi Akar Masalah dan Pencegahan Kegagalan Produk Mebel Nanda, Atika Dwi; Handayani, Dwi Iryaning; Prihatiningsih, Tri; Haryono, Haryono
Jurnal Inovasi dan Kreativitas (JIKa) Vol. 6 No. 1 (2026): February
Publisher : Universitas Serang Raya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30656/jika.v6i1.11896

Abstract

Masalah: UKM Mebel Jaya mengalami peningkatan cacat atau kegagalan produk pada lemari kayu seiring dengan peningkatan volume produksi, yang mengancam kualitas produk secara keseluruhan. Tujuan: Studi ini bertujuan untuk mengidentifikasi faktor risiko, menganalisis penyebab utama, dan merancang langkah-langkah pengendalian risiko untuk kegagalan produk lemari guna meningkatkan kualitas produksi. Metodologi: Studi ini mengintegrasikan Failure Mode and Effects Analysis (FMEA) untuk memprioritaskan risiko menggunakan Risk Priority Number (RPN), Fault Tree Analysis (FTA) untuk melacak dan menstrukturkan penyebab utama kegagalan, serta Bowtie Analysis (BTA) untuk mengembangkan strategi pencegahan dan mitigasi melalui pengendalian penghalang Temuan/Hasil Penelitian: Hasil FMEA menunjukkan tiga penyebab kegagalan dominan dengan nilai RPN tertinggi: aplikasi pewarna yang tidak konsisten (RPN 116), pengukuran yang tidak akurat (RPN 114), dan alat potong yang tumpul (RPN 111). Hasil FTA menunjukkan bahwa kegagalan ini dipicu oleh prosedur operasional standar (SOP) yang tidak memadai, alat yang tidak memenuhi standar, pelatihan pekerja yang terbatas, dan pemeliharaan peralatan yang lemah. Output BTA mengusulkan pengendalian risiko termasuk pelatihan operator, pengembangan dan implementasi SOP, inspeksi produk akhir, dan pemeliharaan rutin peralatan. Jenis penelitian: Penelitian analisis kuantitatif
Improving Random Forest Performance for Botnet Attack Detection in IoT Big Data Using Remove Frequent Values Filter Imam Marzuki; Mas Ahmad Baihaqi; Hartawan Abdillah; Dwi Iryaning Handayani; Nurhidayati Nurhidayati
International Journal of Electrical and Intelligent Engineering Vol 1, No 1 (2025)
Publisher : Department of Electrical Engineering Universitas Islam Negeri Maulana Malik Ibrahim Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18860/ijeie.v1i1.34533

Abstract

This research aims to enhance the performance of the Random Forest algorithm in classifying big data within the Internet of Things (IoT) domain, specifically for detecting botnet attacks. The study utilizes the N-BaIoT dataset, comprising 150,000 instances of IoT network traffic categorized into normal and anomalous (botnet) data. To optimize classification outcomes, a preprocessing technique—the “remove frequent values” filter—is applied to reduce redundancy and improve computational efficiency. Model performance is evaluated using accuracy, precision, recall, and F1-score. Experimental results demonstrate that this filter improves classification accuracy from 99.976% to 99.998%, with precision, recall, and F1-score all reaching 1.000. Cross-validation was conducted to ensure the robustness of these results. These findings suggest that even lightweight preprocessing techniques can significantly enhance machine learning performance in IoT big data classification tasks. 
Enhancing Community Service through the Integration of the Student’s Role as an Agent of Change and Reuse Intention KKN Caption Design Pipit Sari Puspitorini; Dwi Iryaning Handayani
MALLOMO: Journal of Community Service Vol 6 No 2 (2026): Juni-November
Publisher : Universitas Muhammadiyah Sidenreng Rappang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55678/mallomo.v6i2.2721

Abstract

Improving public satisfaction and reuse intention in social life requires new innovations, namely KKN. The KKN Blue Ocean Innovation integrated capstone design model integrates education, development, service, and community empowerment outside the campus environment. The proposed model, based on the stimuli-organism-response theory and the KKN framework, which integrates the four aforementioned student roles (catalyst, process helper, solution giver, and source linker) to study the intention reuse KKN. Valuable insights for implementing KKN to be accepted by the community are to prioritize community satisfaction as the object of study in integrating more innovative KKN concepts. Partial least squares structural equation modeling (PL-SEM) with a survey of 50 community members and students who have interacted and experienced community service (KKN) was used. Results: This study found that the solution giver dimension dominated the role of students as agents of change compared to the catalyst (C); process helper (PH); solution giver (SG); and sources linker (SL), which were 16%, 20%, 50%, and 14%, respectively. SL dominated the role of students as agents of change. The mediation analysis explains that community satisfaction mediates the relationship between the four dimensions and KKN reuse intention. The role of student agents of change includes raising community awareness and enthusiasm to change and develop SL for the better. The direct and indirect influence of the agent of change dimension on public satisfaction and reuse intention is a novelty of this study.