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PERILAKU BERKENDARA SEPEDA MOTOR 150 CC MENGGUNAKAN METODE NATURALISTIC DRIVING STUDY DAN DRIVERS BEHAVIOUR QUESTIONNAIRE Suaib, Fadel; Lahay, Idham Halid; Wolok, Eduart
RADIAL : Jurnal Peradaban Sains, Rekayasa dan Teknologi Vol. 11 No. 2 (2023): RADIAL: JuRnal PerADaban SaIns RekAyasan dan TeknoLogi
Publisher : Universitas Bina Taruna Gorontalo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37971/radial.v11i2.428

Abstract

Driver behavior is the most dominant factor in accidents. Almost all accidents are preceded by violations of traffic signs. Through previous accident data, important and useful information can be known. The study aims to analyze two-wheeled motorbike riding behavior using Naturalistic Driving Study (NDS) and determine the influence of age and behavior of 150cc motorbike riders. Data taken from recordings taken by respondents and questionnaires. The results of the regression test to determine differences in age on motorbike rider behavior with a constant value of a = 196.03 show that this figure is a constant number which means that, if it does not involve age (X), the value of riding behavior (Y) is -5, 3956x. The regression coefficient is -5.3945. This figure is minus (-), which means that age (X) has a negative effect on driving behavior (Y).
PENGUKURAN BEBAN KERJA PEKERJA DI UD. BINTANG JAYA MANDIRI MENGUNAKAN CVL DAN NASA-TLX Puyuhiyo, Zulqarnain; Wolok, Eduart; Lahay, Idham Halid
RADIAL : Jurnal Peradaban Sains, Rekayasa dan Teknologi Vol. 12 No. 1 (2024): RADIAL : Jurnal Peradaban Sains, Rekayasa dan Teknologi
Publisher : Universitas Bina Taruna Gorontalo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37971/radial.v12i1.439

Abstract

Abstract: Measuring Workload of Workers at UD. Bintang Jaya Mandiri uses CVL and NASA-TLX The amount of physical and mental load depends on the level of difficulty of each activity, causing different workloads. The method for measuring physical workload uses the %CVL (Cardiovascular Load) method, while the method for measuring mental load uses the NASA-TLX (National Aeronautics and Space Administration Task Load Index) method. Calculation results from workers at UD. Bintang Kaya Mandiri used the %CVL method in shift I. The values ​​obtained were classified as "Medium" (30% to ≤ 60%) "Required improvement but not urgent" for 18 people and classified as "Low" (≤ 30%) "There is no fatigue in workers" as many as 2 people, while shift II scores obtained were classified as "Medium" (30% to ≤ 60%) "Required improvement but not urgent" as many as 16 people and classified as "Low" (≤ 30%) "There is no fatigue among workers ” as many as 4 people. Measuring mental load using the NASA-TLX method in shift I, the scores obtained were classified as "Quite High" (30-49) by 1 person and classified as "High" (50-79) by 19 people, while in shift II the scores obtained were classified as " Fairly High” (30-49) as many as 3 people and classified as “High” (50-79) as many as 17 people.
Analisis Penentuan Rute Distribusi Produk Makanan Menggunakan Pendekatan Algoritma Ant Colony Optimization (ACO) PT. Cipta Langgeng Mitra Sukses: Penelitian Wayan Andika Riyantara; Rudolf Simatupang; Eduart Wolok; Idham Halid Lahay; Hendra Uloli
Jurnal Pengabdian Masyarakat dan Riset Pendidikan Vol. 4 No. 1 (2025): Jurnal Pengabdian Masyarakat dan Riset Pendidikan Volume 4 Nomor 1 (Juli 2025 -
Publisher : Lembaga Penelitian dan Pengabdian Masyarakat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/jerkin.v4i1.2364

Abstract

This study aims to analyze the distribution route determination of PT. Cipta Langgeng Mitra Sukses's food products using the Ant Colony Optimization (ACO) method. This study uses a quantitative approach to design the optimal distribution route at PT. Cipta Langgeng Mitra Sukses in Gorontalo Regency. Through Ant Colony Optimization (ACO) algorithm simulation, this study analyzes the variables of distance, time, and cost with data obtained from literature studies, interviews, and field observations. The results of this study indicate that the optimal route formed is able to minimize travel distance, time, and operational costs. Fleet 1 traveled a distance of 38.7 km in 79 minutes and costs Rp26,316, while Fleet 2 traveled 37.2 km in 99 minutes and costs Rp25,296. The evaporation mechanism and pheromone intensity influence the route selection, where the 5th route for Fleet 1 and the 1321st route for Fleet 2 are the fastest and most efficient routes. These findings prove that Ant Colony Optimization (ACO) is effective in determining the optimal distribution route for the company.