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Trytia Arungpadang
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Automotive Engineering Industrial & Manufacturing Engineering Materials Science & Nanotechnology Mechanical Engineering

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PENGGUNAAN DUAL RESPONSE DENGAN JARINGAN SYARAF TIRUAN UNTUK MANAJEMEN SISTEM KEBENCANAAN DI KOTA MANADO I Wayan Sukadarminta; Trytia Arungpadang; Johan S C Neyland
JURNAL POROS TEKNIK MESIN UNSRAT Vol. 8 No. 1 (2019): Jurnal Poros Teknik Mesin Unsrat
Publisher : Fakultas Teknik Jurusan Teknik Mesin Universitas Sam Ratulangi

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This study aims to (1) create artificial neural network architecture and programming using matlab, (2) predict rainfall values for several periods future, and (3) make disaster management systems simple to anticipate disasters.Data were trained and tested to recognize patterns, then simulated to get predictive results. Rainfall data for the past 24 months, from the North Minahasa Climatology Station.The results showed that the function used was trainlm with network architecture 12-8-3-2 and predicted rainfall for the next 12 months (October 2018-September 2019) was 110±1.6106, 267±2.2641, 337±2.7191, 366±2.6943 , 337±2.7853, 305±73.9830, 190±74.4540, 33±70.8810, 34±2.0987, 35±1.3790, 39±1.2715, 68mm±1.3873. The highest rainfall prediction is February 2019 and is predicted to cause flooding. So, a simple disaster management system model is created with the aim of anticipating through activities to avoid and minimize the impact of disasters caused.Keywords: Artificial Neural Networks, Disaster Management, Dual Response,       Floods, Prediction, Rainfall
EVALUASI KUALITAS LAYANAN JASA PADA BENGKEL OTOMOTIF RODA EMPAT Bertu Pabuntang; Johan S C Neyland; Trytia Arungpadang
JURNAL POROS TEKNIK MESIN UNSRAT Vol. 9 No. 2 (2020): Jurnal Poros Teknik Mesin Unsrat
Publisher : Fakultas Teknik Jurusan Teknik Mesin Universitas Sam Ratulangi

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Customer satisfaction and dissatisfaction with a service or goods are usually determined by how a product is received by the customer from the service provider or product so that if the service provided in accordance with the expectations of the customer then they will feel satisfied and vice versa. This research aims to find out the attributes of the company that can provide satisfaction and dissatisfaction for customers who use repair services in car repair works using the Important Performance Analysis  (IPA) method.From the results of research conducted in one of the workshop car repair service providers gave the result that the company needs to improve the attributes that exist in quadrant 1  namely kecepatan service working time,,  kecepatan service claims,ketetapan service complaints vehicle,  waktu wait waiting time before getting service officer,keramahan in serving customers, responsibility of the workshop for the service provided,  pengecekan vehicle in detail and   karyawan master the services offered so that in the future these attributes can provide satisfaction to customers.Keywords : customer satisfaction,service, Importance Performance Analysis  (IPA)
SIMULASI PROSES BONGKAR MUAT PETI KEMAS DI PT. PELABUHAN INDONESIA SORONG Josua Istia; Trytia Arungpadang; Jefferson Mende
JURNAL POROS TEKNIK MESIN UNSRAT Vol. 10 No. 1 (2021): Jurnal Poros Teknik Mesin Unsrat
Publisher : Fakultas Teknik Jurusan Teknik Mesin Universitas Sam Ratulangi

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PT. Pelindo Sorong is a company in West Papua that offers loading and unloading services using containers. Although the company has implemented  a queue distribution pattern in handling containers, it needs process improvement.One method to overcome is problem is to use Promodel 2016 software and SPSS version 22 as a tool to determine the optimal timing of the ideal loading and unloading process. The container handling equipment observed in this study were a crane, tractor trailer and reach stacker. The field survey in February 2020 was conducted to measure the handling time of dry containers.The simulation results show that the optimal average loading process is 2.32 minutes and the loading process time is 3.08 minutes. And the highest level of utility for the loading process is 25.24% and for the loading process is 53.30%. From the analysis using promodel 2016 software, it is known that the highest utility value of the two processes is below 100% so that there is no bottleneck. If the utility value of both processes reaches 100%, there will be a rush in the queue system. The solution is the there must be additional tools in the process with a high level of utility.Keywords: Containers, Loading and unloading equipment, Promodel 2016, Optimal    average time
Co-Authors Bertu Pabuntang I Wayan Sukadarminta Jefferson Mende Johan S C Neyland Josua Istia