cover
Article Per Year (5 Year)
All
Home Page
OAI Link
Editorial Team
Contact
Reviewer
Google Scholar
Contact Name
Tb. Ai Munandar
Contact Email
tbaimunandar@gmail.com
Phone
-
Journal Mail Official
jmlsc.unsera@gmail.com
Editorial Address
-
Location
Kota serang,
Banten
INDONESIA
Journal of Machine Learning and Soft Computing
Published by Universitas Serang Raya
ISSN : 26861704     EISSN : -     DOI : -
Core Subject : Science,
Computer Science & IT
Journal of Machine Learning and Soft Computing (JMLSC) is a research publication media in the field of deep learning, neural networks, rule based systems, bayessian, decision tree and classification, clustering, fuzzy logic, uncertainty, artificial intelligence and other fields that are in accordance with the concept development machine learning and soft computing toward decision support, group decisions and allied.
Arjuna Subject : -
Articles 4 Documents
 1 
Search results for , issue " Vol 1, No 1 (2019): Volume 1, Nomor 1, Maret 2019" : 4 Documents clear
Adhesive Calculation System for Determination of Bonding Glue Needs Using Weighted Product and Lot Sizing Methods Purnamasari, Ita; Setyawan, Agus; Hay’s, Ryan Naufal
Journal of Machine Learning and Soft Computing Vol 1, No 1 (2019): Volume 1, Nomor 1, Maret 2019
Publisher : Universitas Serang Raya

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (254.095 KB) | DOI: 10.30656/jlmsc.v1i1.1671

Abstract

The production process that exists at PT. Parkland World Indonesia consists of several parts of the production process, one of which is the production process ofondonding which is used for shoe glue between outsole and upper. Adhesive is a material that is able to connect or unite the two surfaces of separate objects so that it has adequate strength when subjected to the load. This study discusses the making of an adhesive calculation system as a determination of the need for the first time to be ordered, using the weighted product method and lot sizing. The application was developed using the Power Builder programming language with Sybase SQL anyware as its database. With this system will help managers or superiors to know and determine alternative priorities or types of adhesive needs that must be prioritized for adhesive needs to help smooth the production process. To minimize the total cost of adhesive requirements.
Group Decision Support System for Job Promotion Using the Simple Additive Weighting (SAW) Method Dizani, Muhar; Sumiati, Sumiati; Suherman, Suherman
Journal of Machine Learning and Soft Computing Vol 1, No 1 (2019): Volume 1, Nomor 1, Maret 2019
Publisher : Universitas Serang Raya

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (20.531 KB) | DOI: 10.30656/jlmsc.v1i1.1673

Abstract

The Group Decision Support System is a tool used to help group decision makers become faster and more objective. A case study at Serang Raya University is the selection of employees for promotion. The problem is the difficulty in determining which employees will be promoted to fill a certain position and spend a lot of time and how to do the calculation? The research methodology used is system analysis, and calculation of the Simple Additive Weighting (SAW) method. The criteria chosen are based on staffing policies. The decision makers involved were the dean of the faculty, the head of the staffing department and the university's rector. Simple Additive Weighting (SAW) can determine the weight value for each attribute, then proceed with the ranking process that will select the best alternative from a number of alternatives. The results are used to make it easier for users to choose the employees to choose for promotion. This system is expected to help speed up employee decision making to be promoted.
Decision Supporter for Determining Priority in Supply of Shoe Raw Materials Using the Simple Additive Weighting Method Sani, Ardila; Munandar, Tb Ai; Suhendar, Akip
Journal of Machine Learning and Soft Computing Vol 1, No 1 (2019): Volume 1, Nomor 1, Maret 2019
Publisher : Universitas Serang Raya

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (20.676 KB) | DOI: 10.30656/jlmsc.v1i1.1669

Abstract

More and more types of raw materials will be used to expedite the shoe production process, making it difficult for companies to determine the priority of raw materials. So that there are often advantages and disadvantages of raw materials during the production process, which causes changes in the budget of production costs that are not in accordance with the initial plan, resulting in decreased corporate profits. Decision Support System (SPK) is a system that can help someone in making decisions that are accurate and right on target. Many problems can be solved by using SPK, one of which is determining priorities in the supply of raw materials. There are several methods that can be used in building a DSS, including simple addtive weighting (SAW). The Simple Additive Weighting (SAW) method is often also known as the weighted sum method, by finding the weighted sum of performance ratings for each alternative of all attributes. This study discusses the making of a decision support system as a tool for determining priorities in the supply of raw materials using the simple additive weighting (SAW) method. This application was developed with the Power Builder 8.0 programming language and Sybase SQL Anyware 5.0 as its database. The results of this study are able to help system users determine the priority of the supply of raw materials in order to facilitate the production process.
Determination of the Amount of Masterbatch Production Using the Fuzzy-Mamdani Method Radiansyah, Fikri; Widyarto, Wahyu Oktri
Journal of Machine Learning and Soft Computing Vol 1, No 1 (2019): Volume 1, Nomor 1, Maret 2019
Publisher : Universitas Serang Raya

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (20.51 KB) | DOI: 10.30656/jlmsc.v1i1.1670

Abstract

Based on demand data from January 2013 to December 2013 at PT. Bukit Surya Mas there is an increase in demand, supply and amount of consumer production every month. With the occurrence of demand, supply and maximum production results PT. Bukit Surya Mas always tries to ensure that the amount of production ordered can be completed on time. This is done as a way to give satisfaction to customers, so that there will be no shortage of production services to consumers just because of the late delivery of the product. Problems that arise in this world often contain uncertainty, fuzzy logic is one method for analyzing systems that contain uncertainty. In this study the Mamdani method or often also known as the Min - Max method. The design of the system to get the output is done in stages (a) the formation of the fuzzy set, (b) the application of the implication function, (c) forming the rules, (d) affirmation (defuzzification). In this study defuzzification was carried out using the centroid method. In this method the defuzzyfication value moves smoothly, so changes in the fuzzy set will also move smoothly. From the results of the research that has been carried out, the following is the Masterbatch product from the input variable in January 2014, namely the total demand of 150,735.00 kg and the total inventory of 24,785 kg resulting in an output of 20,300 units.

Page 1 of 1 | Total Record : 4

 1 

Filter by Year

2019 2019


Reset
Filter By Issues
All Issue Vol. 1 No. 2 (2019): Volume 1 Nomor 2, July 2019 Vol 1, No 2 (2019): Volume 1 Nomor 2, July 2019 Vol 1, No 1 (2019): Volume 1, Nomor 1, Maret 2019 Vol. 1 No. 1 (2019): Volume 1, Nomor 1, Maret 2019 Vol 1, No 1 (2019): Volume 1, Nomor 1, Maret 2019