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All Journal Jurnal Manajemen dan Agribisnis Jurnal Teknik Industri J@TI (TEKNIK INDUSTRI) WIDYA TEKNIKA SPEKTRUM INDUSTRI Students' Journal of Engineering Agrointek Journal of Engineering and Management in Industrial System JURNAL PASTI (PENELITIAN DAN APLIKASI SISTEM DAN TEKNIK INDUSTRI) Jurnal Ilmiah Dinamika Rekayasa (DINAREK) Journal of Development Research Industria: Jurnal Teknologi dan Manajemen Agroindustri PROZIMA (Productivity, Optimization and Manufacturing System Engineering) SUSTINERE: Journal of Environment and Sustainability WAKTU: Jurnal Teknik UNIPA Industri Inovatif : Jurnal Teknik Industri Jurnal Manajemen JURNAL FLYWHEEL SINTA Journal (Science, Technology, and Agricultural) Jurnal Inovasi dan Kreativitas (JIka) Empowerment Society Journal of Industrial Engineering and Halal Industries Kohesi: Jurnal Sains dan Teknologi Jurnal Pengabdian Masyarakat dan aplikasi Teknologi Industrial Management and Engineering Journal International Journal of Electrical and Intelligent Engineering
Dwi Iryaning Handayani
Program Studi Teknik Industri Fakultas Teknik Universitas Panca Marga
Religion Agriculture, Biological Sciences & Forestry Humanities Astronomy Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Industrial & Manufacturing Engineering Materials Science & Nanotechnology Mechanical Engineering Medicine & Pharmacology Physics Social Sciences Transportation Veterinary Other

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The Future of Supplier Selection: Integrating Bibliometric Intelligence and MCDM in The Perishable Agro-Industry Handayani, Dwi Iryaning; Kurnia Iswardani; Misra Hartati; Muhamad Zulkiflee Osman; Mimik Umi Zuhroh
Jurnal Manajemen dan Agribisnis Vol. 22 No. 2 (2025): JMA Vol. 22 No. 2, July 2025
Publisher : School of Business, Bogor Agricultural University (SB-IPB)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17358/jma.22.2.158

Abstract

Background: Supplier selection in the perishable agroindustry, such as for mushrooms, is a complex and strategic process. It significantly impacts supply chain performance owing to the perishability and quality sensitivity of the products involved. Traditionally, decision-making methods in this area often lack preliminary validation, resulting in suboptimal supplier choice.Purpose: This study aims to integrate bibliometric analysis and multi-criteria decision-making (MCDM) approaches, particularly the Analytic Hierarchy Process (AHP), to develop a robust data-driven model for supplier selection in the mushroom agroindustry.Design/methodology/approach: A systematic literature review using the PRISMA framework and bibliometric analysis of Scopus-indexed articles identified the most relevant MCDM methods. A case study approach involving expert judgment was used to evaluate mushroom suppliers based on the following five criteria: quality, price, delivery, service, and product suitability.Findings/Result: A bibliometric review confirmed that AHP, TOPSIS, and fuzzy logic are the most frequently applied methods. AHP was selected for its strengths in handling both qualitative and quantitative data and validating decision consistency. The results showed that Supplier A had the highest overall score (0.389), followed by Supplier C (0.345) and Supplier B (0.266), with a consistency ratio (CR) below 0.10, validating the assessments.Conclusion: Integrating bibliometric analysis with MCDM methods offers a more objective and evidence-based approach to supplier selection. The developed model enhances decision accuracy, supports strategic sourcing, and ensures quality and timeliness in highly perishable product supply chains.Originality/value (State of the art): This study pioneers the direct integration of bibliometric insights into an MCDM-based decision-making framework applied in a real-world agroindustry context. The methodology is replicable and adaptable across various industries facing similar supplier evaluation challenges. Keywords: supplier selection, multi-criteria decision making, analytic hierarchy process, bibliometrics
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. 
Co-Authors Adi Purwanto Adi Purwanto Ahmad Iskandar Rahmansyah Ahmad Izzuddin Akmalia, Dewi Annisa Kessy Arik dwi Hariyanto Ary Analisa Rahma Buhari Muslim Dyah Retno Purwatiningsih Erik Ricardo Erly Ekayanti Rosyida H.M. Saiful Bahri Hadiyanto, Mohammad Hardiyo, Joko Hariyanto, Arik dwi Hartawan Abdillah Haryono Haryono Haryono Haryono Hendra, Joni Hermin Arista Hikmah, Nuzul Hudzafidah, Khusnik Iffan Maflahah Ilyas Masudin Imam Marzuki Intan Rahayu, Houspa Ira Aprilia Iswardani, Kurnia Joko Siswanto Joko Siswanto Kamila Adnani Kartini, Dwi Putri Kessy, Annisa Kurnia Iswardani Mahbub, Moh Mahbub Mas Ahmad Baihaqi Mimik Umi Zuhroh Misdiyanto Misdiyanto, Misdiyanto Misra Hartati Muhamad Zulkiflee Osman Mustakim Mustakim Mustakim Nanda, Atika Dwi Nugraha, Andhika Ghalyh Nurhidayati Nurhidayati Prihatinigsih, Tri Prihatiningsih Purwatiningsih, Dyah Retno Qurtubi Rizki, Abdur Rohmad Fauzi Rohman, Kholilur Sabrina Annisa Rizky Septian Ricky Adi Pratama Siti Masluha Siti Zumairoh Sudiana Wirasambada Suhandini, Yustina Tri Prihatiningsih Tri Prihatiningsih Tri Prihatiningsih trismawati Widianita, Nadia Putri Wirasambada, Sudiana Yustina , Suhandini Yustina Suhandayani Yustina Suhandini Yustina Suhandini