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Wiwik Sulistiyowati
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PROZIMA (Productivity, Optimization and Manufacturing System Engineering)
Published by Universitas Muhammadiyah Sidoarjo
ISSN : 25415115     EISSN : 25415115     DOI : https://doi.org/10.21070/prozima
Core Subject : Engineering,
Industrial & Manufacturing Engineering
Aim: to facilitate scholar, researchers, and teachers for publishing the original articles or review articles. Scope: Industrial Engineering included: Supply Chain Management Optimization and industry system Ergonomics Strategic Management Quality Engineering and Management Sustainability Experiment design Statistic Project Management Productivity Technology Management
Arjuna Subject : Teknik (semua kategori) - Tenik Industri dan Manufaktur
Articles 6 Documents
 1 
Search results for , issue "Vol 2 No 1 (2018): June" : 6 Documents clear
Pengendalian Kualitas Produk Dengan Menggunakan Metode SQC dan HRA Guna Meningkatkan Hasil Produksi Tahu di IKM H. Musauwimin Koyor Rujianto; Hana Catur Wahyuni
PROZIMA (Productivity, Optimization and Manufacturing System Engineering) Vol 2 No 1 (2018): June
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/prozima.v2i1.1065

Abstract

Small and Medium Industries (IKM) H.Musauwimin is a manufacturing industry in the field of tofu production. In the production process there are still frequent product defects, including coarse tofu, tofu surface torn, soft texture, and faded color. For this reason, we need a way to minimize the possibility of product defects. The objectives of this study are (1) Identifying disability factors using the Statistical Quality Control (SQC) method, (2) Improving employee performance performance using the Human Reliability Assessment (HRA) method, (3) Minimizing product defects in the production process so as to increase productivity. The results of this study are (1) of the four types of rejects for the biggest 3 months in tearing surface type with a percentage of 46% of all rejects (2) By testing the adequacy of the data using the SQC method in the production process for 3 months then sample we tested a total of 284. From the results of the data adequacy test data obtained a value of 7,289, so the number of samples is larger than the sample that should be. (3) From the results of measuring employee performance using the HRA method. The biggest HEP value is the type of Possible Error. The operator only estimates and there is no standard in mixing vinegar acid with the filtrate. With an HEP value of 0.48. So this factor is the most dominant cause of disability and must be corrected immediately.
Integration of SWOT and AHP Methods to Formulate Marketing Strategy (Case Study : PT. Rattan Craft Indonesia) Ardi Setiawan; Hana Catur Wahyuni
PROZIMA (Productivity, Optimization and Manufacturing System Engineering) Vol 2 No 1 (2018): June
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/prozima.v2i1.1298

Abstract

PT. Rattan Craft Indonesia is the p roducers of Wooden indoor Furniture. Rattan Craft does not have the right marketing strategy so that is th e reason the level of sales is not on maximum grade. From the background above, the the problem of this research is: 1. How are the good marketing strategy based on a SWOT method? 2. What a re the good strategy based on AHP. The data analysis in this research using Metod e analysis Swot and AHP. The results of this research get a value of the respective weights by AHP each criterion , namely the ad ministration of 0.057, 0.082 quality, competitive 0.097, 0 .119 raw materials, products already exported 0.151, 0.163 market opportunities, relationships 0.175, 0.156 discipline. The conclusion of this study are: 1. The company utilizes the existing opportunities by maintaining good relations with the relationships that the co mpany's products have been exported can be maintained or even increase exports. 2. The decipline of employees should be more guarded and must be improved so that the company's product quality is maintained.
LPT-Branch and Bound Algorithm in Flexible Flowshop Scheduling to Minimize Makespan Dana Marsetiya Utama
PROZIMA (Productivity, Optimization and Manufacturing System Engineering) Vol 2 No 1 (2018): June
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/prozima.v2i1.1527

Abstract

This article discussed the problem of flow shop scheduling to minimize the makespan. The purpose of this article is to develop the LPT and Branch And Bound (LPT-Branch And Bound) algorithms to minimize the makespan. The proposed method is Longest Processing Time (LPT) and Branch And Bound. Stage settlement is divided into 3 parts. To proved the proposed algorithm, a numerical experiment was conducted by comparing the LPT-LN algorithm. The result of the numerical experiment shows that LPT-Branch And Bound's proposed algorithm is more efficient than the LPT-LN algorithm.
Production Forecasting Using Autoregressive Integrated Moving Average (ARIMA) Method at PT. XYZ Mohammad Buchori; Tedjo Sukmono
PROZIMA (Productivity, Optimization and Manufacturing System Engineering) Vol 2 No 1 (2018): June
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/prozima.v2i1.1290

Abstract

In production planning and control the first step is to forecast to determine how much production, the company forecasting is still not optimal, because forecasting has an important role in a company. PT. XYZ is a food company that produces chicken meatballs and chicken dumplings. So from that this study uses the forecasting method Autoregressive Integreted Moving Average (ARIMA). ARIMA is often also called the Box-Jenkins time series method. ARIMA is very good for short-term forecasting, while for long-term forecasting the forecasting accuracy is not good. The purpose of this research is to get a good ARIMA model, used to forecast production in the company. So that the production becomes optimal and not excessive which can cause waste of raw materials, which will make production costs a lot. Data processing is done with the help of an Eviews computer program to determine a good ARIMA model, from processing data obtained by ARIMA (1.0,0). With the results obtained forecasting in the period 37 to period 48.
Key Success Factors to Increase Value Proposition in the Hospitality Industry Daniel Marco Stefan Kleber; Tatjana Volkova
PROZIMA (Productivity, Optimization and Manufacturing System Engineering) Vol 2 No 1 (2018): June
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/prozima.v2i1.2203

Abstract

Purpose of this conceptual study is the identification and analysis of key success factors to increase value proposition based on design thinking of hotel executives and value co-creation with customers in the hospitality industry. Globalized dynamic markets and ever-changing customer needs and demands require ongoing experimentation and communication to steadily identify customer needs and wants in order to adjust products and services to ensure an increase of value proposition. In this research article, the two-fold role of customers and hotel executives in value co-creation processes leading to an identification of key success factors of value proposition increase is analyzed. The article emphasizes the essential role of customers as contributors to value co-creation processes and hotel executives as contributors to the creation and delivery of value proposition. Superior value proposition can be achieved by understanding actual needs and demands of customers based on design thinking and comparing them to value proposition elements that are perceived as being important by customers. Following this approach, key success factors for enhancing value proposition are analyzed.
Synthesis of Acid Polyols As a Feedstock to Produce Flexible Polyurethanes and Their Effect on the Income Level of Furniture Craftsmen Andi Budirohmi; La Ifa2; Nurjannah
PROZIMA (Productivity, Optimization and Manufacturing System Engineering) Vol 2 No 1 (2018): June
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/prozima.v2i2.2202

Abstract

Polyuretanes are widely used as elastomers, coatings, adhesivesand binders,interior and exterior cars, furniture,shoe soles, carpets, rigit and flexible foams, membrane materials as well as constuction materials .The production of polyurethanes is largely derived from polyols derived from petroleum . Howover, petroleum is a non- renewable raw material . Thus it is necessary to look alternative feedstock for the manufacture of polyol as a polyurethane raw material. Synnthesis polyurethane by polymerization process using polyol volume based on polyol oleat acid polypropylenglycol ( PPG ) in order to know whether fatty acid can be used as raw materials of polyurethane manufacture.From the result of the study. Based on Fourier Transform Infra Red ( FTIR), showed,that the product produced is polyol with obtained hydroxyl group ( OH group )with hydroxylnumber is 129,81 mg KOH / g and 157,60 mg KOH / g sample of 70

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