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Johan S C Neyland
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Automotive Engineering Industrial & Manufacturing Engineering Materials Science & Nanotechnology Mechanical Engineering

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PERHITUNGAN WAKTU DAN BIAYA PADA PROSES PEMESINAN BENDA UJI TARIK Christian Aidy Mosey; Rudy Poeng; Johan S C Neyland
JURNAL POROS TEKNIK MESIN UNSRAT Vol. 4 No. 1 (2015): Jurnal Poros Teknik Mesin Unsrat
Publisher : Fakultas Teknik Jurusan Teknik Mesin Universitas Sam Ratulangi

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Abstract

A machine tool must be able to produce high-quality product. But a skilled operator also required. The process of workpiece production begins with planning a logical working steps, such as: specifying the type of machine tool’s process and selecting the materials to be used. The production process is not only related to the technology, but also related to  the cost factor and the production speed to achieve the target and optimum profits. In the tensile test, the specimen is standardized according to the tensile machine that will be used. The shape of the tested specimen is essential in order to avoid cracking or facture in the grip or others areas. The purpose of this study are determining the average time of machining proces and getting the total cost of production of machining process of a tensile test specimen. The tensile test specimen were subjected on this experiment has a circular cross-sectiolan shape which made from concrete steel with the lathe machining proces. Based on the result of the process of time and cost calculation, the tensile test specimens has an average machining time of 161,733 minutes per specimen and the cost Rp. 63.483 per specimen. Keywords: Process time, production cost, the tensile test specimen
ANALISIS KELUHAN PELANGGAN TERHADAP DISTRIBUSI MINYAK PELUMAS DI MANADO Yohanes Vendmard; Agung Sutrisno; Johan S C Neyland
JURNAL POROS TEKNIK MESIN UNSRAT Vol. 5 No. 1 (2016): Jurnal Poros Teknik Mesin Unsrat
Publisher : Fakultas Teknik Jurusan Teknik Mesin Universitas Sam Ratulangi

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The need of lubricant based on the huge number of users and the significant increase of costumer each year has made lubricant as one of profitable mechanical thing. Quality control has a very important role in maintaining customer’s satisfaction as well. This research aims to analyze the service quality, mainly in distribution process, based on customer’s complaint. Customers were asked to give score on some attributes and fill in a questionnaire about their experience related to various types of complaints. Data taken were then analyzed using AHP method. The results show that “Assurance” has the highest weight score (0.313) and “Tangible” has the lowest score (0.118). The multiplication of weight score and faction resulting “Reliable” as the most critical attribute regarding service quality (0.9583)—close to “Understanding” (0.09567). Keywords: Quality control, customer’s complaint, distribution, lubricant, Analysis Hierarchy Process (AHP)
INTEGRASI ASPEK RESIKO PADA PROSES PENGELOLAAN SUKU CADANG DI PLTD BITUNG Richard Juandy Salensehe; Agung Sutrisno; Johan S C Neyland
JURNAL POROS TEKNIK MESIN UNSRAT Vol. 5 No. 2 (2016): Jurnal Poros Teknik Mesin Unsrat
Publisher : Fakultas Teknik Jurusan Teknik Mesin Universitas Sam Ratulangi

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The purpose of this research is to integrate aspects of risk in the process of managing spare parts in PLTD Bitung. To achieve these objectives, this research is using AHP methods (Analytical Hierarchy Proses).   Froms the result of the AHP the weight of the criteria are as follows : availability of goods (0,9542) delivery time (0,9986). Wear rate (1.3293), risk (1,1439). From AHP methods, priority supply of spareparts wish regards to all criteria, the highest priority given to nidlle bearing parts (1,4028).   Keyword : AHP, Risk, Needle bearing, Criteria
ESTIMASI BEBAN PUNCAK ENERGI LISTRIK PADA SISTEM SULUTGO MENGGUNAKAN ARTIFICIAL NEURAL NETWORK DAN METODE MOVING AVERAGE Liberty Tarigan; Tritiya Arungpadang; Johan S C Neyland
JURNAL POROS TEKNIK MESIN UNSRAT Vol. 5 No. 2 (2016): Jurnal Poros Teknik Mesin Unsrat
Publisher : Fakultas Teknik Jurusan Teknik Mesin Universitas Sam Ratulangi

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Abstract

Sulutgo interconnection system is the electrical energy suppliers for North Sulawesi and Gorontalo. Their role as the electrical energy supplier was complained by people in 2015, due to lack of electricity supply that lead to continuous rolling blackouts. Accordingly, it is important to identify the electrical peak load in Sulutgo system, so that the electrical necessity of the people can be properly fulfilled. The electrical peak load in the next 12 month is estimated using the backpropagation method artificial neural network and forecasting method moving average. The estimation was performed by using the last 24 month peak load data. Based on the results of both estimation, it is found the backpropagation method artificial neural network has fluctuated results while the forecasting method moving average gives stable results. The results of the estimation of peak load electricity using bacpropagation  artificial neural network method for the next 12 month starting from July 2016 to June 2017 are 327.48, 353.99, 316.32, 316.66, 332.37, 329.79, 332.31, 356.21, 318.60, 349.56, 351.37, 362.04 MW. While the results of the estimation method using moving average forecasting for the same period are 325.68, 326.03, 326.39, 326.72, 327.25, 328.09, 327.94, 328.72, 329.94, 330.32, 327.65, 326.52 MW.   Keywords: Estimation, Artificial Neural Network, Forecast Method Moving Average
PREDIKSI KEBUTUHAN ENERGI LISTRIK SULAWESI UTARA MENGGUNAKAN ARTIFICIAL NEURAL NETWORK DAN METODE EXPONENTIAL SMOOTHING Febry Aprily Hontong; Tritiya Arungpadang; Johan S C Neyland
JURNAL POROS TEKNIK MESIN UNSRAT Vol. 5 No. 2 (2016): Jurnal Poros Teknik Mesin Unsrat
Publisher : Fakultas Teknik Jurusan Teknik Mesin Universitas Sam Ratulangi

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Abstract

To predict the electrical energy need of North Sulawesi for one year ahead requires correct methods. The reliable methods used for the prediction task in this research are Artificial Neural Network and Exponential Smoothing. The prediction results using Artificial Neural Network are 110.38, 112.62, 111.56, 108.05, 107.95, 110.32, 109.90, 110.58, 113.26, 107.11, 115.60, 105.40 GWh. The prediction results using Exponential Smoothing are 112.32, 112.70, 113.07, 113.45, 113.82, 114.19, 114.57, 114.94, 115.32, 115.69, 116.07, 116.44 GWh.   Key words: Artificial Neural Network, Exponential Smoothing, Prediction, Electrical Energy Need.
PENERAPAN METODE AHP (ANALYTICAL HIERARCHY PROCESS) UNTUK PEMILIHAN SUPPLIER SUKU CADANG DI PLTD BITUNG Sean Imanuel Pebakirang; Agung Sutrisno; Johan S C Neyland
JURNAL POROS TEKNIK MESIN UNSRAT Vol. 6 No. 1 (2017): Jurnal Poros Teknik Mesin Unsrat
Publisher : Fakultas Teknik Jurusan Teknik Mesin Universitas Sam Ratulangi

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Abstract

In choosing supplier supplying goods to companies, there are many considerations in making decision to choice  appropriate suppliers. In order to make an appropriate decision there is a need to choice suitable suppliers. In this study, the AHP is used to choose supplier using case example from electricity generating companies.            Based on the research results  by applying the method of AHP, then the value of the highest weight is the value of quantity attribute (1.0610), then the weight of the price (0.9942), availability of materials (0.9893), quality (0.9888), and continuity attribute (0.8419). As the alternative preferences, which gained the highest weightis in the followings;  PT. Kawanua Rekacipta (2.4174), CV. Karya Citra Abadi (1.2595), dan CV. Diva Multi Prima (1.2140). . Keywords : AHP, Supplier, Criteria, Spare Part, Alternative
PENGUKURAN KINERJA BERBASIS DAMPAK WASTE DALAM KEGIATAN PERAWATAN TOWER TELEKOMUNIKASI Rein Rante; Agung Sutrisno; Johan S C Neyland
JURNAL POROS TEKNIK MESIN UNSRAT Vol. 6 No. 2 (2017): Jurnal Poros Teknik Mesin Unsrat
Publisher : Fakultas Teknik Jurusan Teknik Mesin Universitas Sam Ratulangi

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Abstract

Waste is an activity that absorb or wasting the resource like the expenses or time that added but that’s not adding any value in that activity. The purpose of this study was to identify the correlation between the kind of waste and the performance size in the maintenance activity. To reach the purpose, case study in the maintanence of the tower was studied. From the study that have been done, it obtained various kind of critical waste and the correlation with performance of maintenance. From the result of this study, it obtained the critical waste like the employee that trying to fixed the broken machine with the waste priority number (WPN) of 70.Keywords: Waste. WPN, towe maintenance telecommunication.
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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Abstract

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)
Co-Authors Agung Sutrisno Bertu Pabuntang Christian Aidy Mosey Febry Aprily Hontong I Wayan Sukadarminta Liberty Tarigan Rein Rante Richard Juandy Salensehe Rudy Poeng Sean Imanuel Pebakirang Tritiya Arungpadang Trytia Arungpadang Yohanes Vendmard