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All Journal V-Machine: Vocational and Mechanical Community Service Journal (Jurnal Pengabdian Masyarakat) Jurnal Ilmiah Dinamika Rekayasa
Raodah
Universitas Negeri Makassar
Humanities Computer Science & IT Control & Systems Engineering Education Engineering Mechanical Engineering

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Penguatan Budaya Keselamatan Kerja melalui Media Visual dan Edukasi pada Pekerja Pelabuhan Makassar: id Irin Ramdhani; Erniyani; Raodah; Fahri Anwar; Achmad Romadin
V-MACHINE: Vocational and Mechanical Community Service Journal Vol. 3 No. 1 (2026): Mei
Publisher : Program Studi Sarjana Terapan PTM FT UNM

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.69712/3zvhft42

Abstract

Kegiatan pengabdian kepada masyarakat ini bertujuan untuk meningkatkan kesadaran keselamatan dan kesehatan kerja (K3) pada pekerja harian pelabuhan melalui program edukasi serta pemasangan stiker keselamatan pada helm di Pelabuhan Pelindo Makassar. Metode yang digunakan adalah pendekatan partisipatif dengan melibatkan 30 pekerja, yang meliputi pre-test, edukasi, pemasangan stiker, dan evaluasi post-test. Hasil kegiatan menunjukkan adanya peningkatan pemahaman pekerja secara signifikan, dengan nilai rata-rata meningkat dari 64,3 menjadi 88,7. Tingkat kepatuhan penggunaan helm juga meningkat dari 68% menjadi 93%. Pemasangan stiker keselamatan tidak hanya memudahkan identifikasi pekerja, tetapi juga berfungsi sebagai pengingat visual yang berkelanjutan terhadap praktik keselamatan kerja. Program ini menunjukkan bahwa intervensi sederhana dan berbiaya rendah dapat secara efektif meningkatkan kesadaran K3 serta mendorong terbentuknya budaya keselamatan kerja yang berkelanjutan pada lingkungan kerja berisiko tinggi.
Distribution System Optimization at one of the Food Distributors in Gowa Regency Dwi Handayani; Muhammad Rusman; Kasmiati; Maula Sidi Muhammad; Raodah
Jurnal Ilmiah Dinamika Rekayasa Vol. 21 No. 2 (2025): Jurnal Ilmiah Dinamika Rekayasa - Juli
Publisher : Engineering Faculty, UNSOED

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20884/1.jidr.2025.21.2.15

Abstract

PT XYZ is a manufacturing company that produces soy sauce, chili sauce, tomato sauce, vinegar and syrup which also acts as a distributor of its products.. Product distribution is carried out through traditional channels by salesmen. However, the determination of salesman visit routes is still based on experience so that it is not optimal in terms of distance, time, and cost. This study aims to develop an algorithm to produce a more efficient salesman visit route at PT XYZ. Data were collected through interviews with the owner and salesmen, then analyzed using tabu search and genetic algorithms with MATLAB software. The results show that both algorithms are able to produce a more optimal route than the existing route. The initial route has a distance of 63.74 km, a travel time of 177 minutes, and a cost of Rp 54,181. The tabu search and genetic algorithms produce a route with a distance of 62.68 km, a travel time of 174 minutes, and a cost of Rp 53,278. Both algorithms provide savings of around 2% compared to the initial route. The superiority of the tabu search algorithm can be seen from the much faster computing time (0.005381 seconds) compared to the genetic algorithm (113.02 seconds), while still finding the optimal solution. This study recommends the use of the tabu search algorithm to optimize salesman visit routes for distribution efficiency at PT XYZ.
Co-Authors Achmad Romadin Dwi Handayani Erniyani Fahri, Anwar Irin Ramdhani Kasmiati Maula Sidi Muhammad Muhammad Rusman