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All Journal Jurnal Elektronika Telekomunikasi & Computer Jurnal Mirai Management SEIKO : Journal of Management & Business AkMen JURNAL ILMIAH JURNAL PENDIDIKAN TAMBUSAI YUME : Journal of Management International Journal of Environment, Engineering, and Education International Journal of Environment, Engineering & Education PENGABDI: Jurnal Hasil Pengabdian Masyarakat Seminar Nasional Pengabdian Kepada Masyarakat Indonesian Research Journal on Education IPTEK: Jurnal Hasil Pengabdian kepada Masyarakat Vokatek : Jurnal Pengabdian Masyarakat Seminar Nasional Hasil Penelitian LP2M UNM International Journal of Environment, Engineering, and Education Journal of Embedded Systems, Security and Intelligent Systems Southeast Asia Journal of Business, Accounting, and Entrepreneurship Harmoni Sosial : Jurnal Pengabdian Dan Solidaritas Masyarakat UNM Journal of Technology and Vocational
Muh. Ma’ruf Idris
Universitas Negeri Makassar
Religion Agriculture, Biological Sciences & Forestry Arts Humanities Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Dentistry Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Mathematics Medicine & Pharmacology Physics Public Health Social Sciences Other

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Sosialisasi Pengelolaan Sampah Berbasis Komunitas Menuju Lingkungan Bersih dan Sehat Muh. Ma’ruf Idris; Nurlaely Nurlaely; Sahidah Sahidah; M.Syafruddin; Chaerunnisa Rumianti; Nur Syamsu; M. Rusli Djunaid
Harmoni Sosial : Jurnal Pengabdian dan Solidaritas Masyarakat Vol. 3 No. 1 (2026): Januari: Harmoni Sosial : Jurnal Pengabdian dan Solidaritas Masyarakat
Publisher : Lembaga Pengembangan Kinerja Dosen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62383/harmoni.v3i1.2876

Abstract

Household waste management remains a major challenge in rural areas, including Sunggumanai Village, Pattallassang District, Gowa Regency. Low public awareness and the absence of a structured community-based waste management system have negatively affected environmental quality and public health. This community service activity aimed to enhance community knowledge, awareness, and participation through the socialization of community-based waste management toward a clean and healthy environment. The activity was conducted on September 27, 2025, involving 30 participants consisting of community representatives, housewives, youth, and community leaders. The methods applied included educational socialization, participatory discussions, and waste segregation simulations based on the 3R principles (Reduce, Reuse, Recycle). The results indicated an improvement in participants’ understanding of waste types, the environmental and health impacts of improper waste management, and the importance of collective waste management practices. Participants also demonstrated positive attitudes and readiness to implement household waste segregation, as well as emerging ideas for establishing community-based waste management initiatives. In conclusion, this activity proved to be an effective initial step in promoting behavioral change toward sustainable waste management and supporting the creation of a clean and healthy village environment.
KESESUAIAN BIDANG KEAHLIAN SMK BERBASIS POTENSI UNGGUL DAERAH DI LUWU UTARA Mifta Waliyuddin Haq Surman; Purnamawati; Ummiati Rahmah; Anas Arfandi; Muh. Ma’ruf Idris
UNM Journal of Technology and Vocational Volume 10, Issue 1, February (2026)
Publisher : Program Studi S2 Pendidikan Teknologi dan Kejuruan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26858/f9cjqa79

Abstract

Penelitian ini bertujuan untuk menganalisis kesesuaian bidang keahlian yang diajarkan di Sekolah Menengah Kejuruan (SMK) dengan potensi unggulan daerah di Kabupaten Luwu Utara. Latar belakang penelitian ini adalah pentingnya pendidikan kejuruan dalam mendukung pengembangan sumber daya manusia (SDM) yang sesuai dengan kebutuhan dunia kerja lokal dan regional. Metode yang digunakan adalah model evaluasi CIPP (Context, Input, Process, Product), didukung oleh analisis potensi wilayah menggunakan pendekatan LQ, tipologi Klassen, dan kesesuaian lahan. Hasil penelitian menunjukkan bahwa potensi unggulan daerah di Kabupaten Luwu Utara meliputi sektor pertanian, kehutanan dan Perikanan. Namun, sebagian besar SMK di daerah tersebut belum sepenuhnya menyesuaikan bidang keahliannya dengan potensi unggulan tersebut. Kondisi ini menghambat pengembangan SDM lokal untuk memenuhi kebutuhan pasar kerja yang relevan. Penelitian ini merekomendasikan sinkronisasi kurikulum SMK dengan potensi unggulan daerah serta peningkatan kolaborasi antara pemerintah, dunia usaha, dan industri. Langkah-langkah ini diharapkan dapat meningkatkan relevansi pendidikan kejuruan, menekan angka pengangguran, dan mendorong pertumbuhan ekonomi lokal secara berkelanjutan
Optimizing Convolution Operation Using Winograd Minimal Filtering Transformation Dary Mochamad Rifqie; Muh. Ma’ruf Idris; Nur Azizah Eka Budiarti
Journal of Embedded Systems, Security and Intelligent Systems Vol 6, No 1 (2025): March 2025
Publisher : Program Studi Teknik Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59562/jessi.v6i1.7655

Abstract

Convolutional Neural Networks (CNNs) have achieved significant success in the field of computer vision; however, their high computational complexity poses challenges for deployment in real-time applications. This study explores the application of Winograd-based convolution algorithms, specifically F (2,3) and F (4,3), as a means to accelerate CNN inference. Using the VGG-16 architecture as a benchmark, we evaluate the performance of these algorithms in terms of execution time and computational accuracy. Experimental results demonstrate that Winograd F (2,3) reduces runtime by an average of 59.62%, while Winograd F (4,3) achieves a 39.81% reduction compared to standard convolution. Accuracy is assessed using single-precision 32-bit floating-point arithmetic, with results showing that Winograd F (2,3) achieves the lowest maximum element error in six out of nine convolutional layers. These findings indicate that Winograd-based methods offer an efficient alternative to conventional CNN computations, particularly in performance-constrained environments.
Co-Authors Abdi Akbar Idris Almuhajar Aswad Amiruddin Amiruddin Anas Arfandi Andi Muhammad Idkhan Anita Candra Dewi Dary Mochamad Rifqie Edy Jumady Edy Sabara Erli Sugiana Halik, Syahrul Hasyim Mokhtar, Erwin Erwin, Hendra Jaya Hendra Jaya Idkhan, A. Muhammad Irwan Muin Ismail, Md. Daud Kaharuddin Kaharuddin Kaharuddin Kurniadi Ismail Lu’mu, Lu’mu M. Ikhwan Maulana Haeruddin M. Rusli Djunaid M.Syafruddin Maharani, Syahwa Mantasia Mantasia Mariñas-Acosta, Caroline Mifta Waliyuddin Haq Surman Muh. Yushar Mustafa Muhammad Hasim Mustamin Mustamin Mustamin Mustamin Natsir, Uhud Darmawan Nur Athiyyah Fadhilah Nur Syamsu Nurinzani Sohrah Nurlaely Nurlaely Purnamawati Putri Ida Sunaryathy Samad Putri Ida Sunaryathy Samad Ridwansyah Ridwansyah Risdawati Risdawati Riski M. Lamato Roif Roif Rumianti, Chaerunnisa Ruslan Ruslan Ruslan Ruslan Saharuddin Sahidah Sahidah Saliruddin Saliruddin Sapto Haryoko Sudarmanto Jayanegara suhaeb, Sutarsi Suhaeb, Sutarsi Syamsul Ridjal Tafsir, Muhammad Tangngisalu, Jannati Taris, Lumu Ummiati Rahmah Wahrini, Retyana Yana Fajriah Yasser A. Djawad Yasser Abd Djawad