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Journal of Machine Learning and Soft Computing

JMLSC
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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 20 Documents

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Analisis Pendukung Keputusan Penentuan Pembelian Bahan Pokok Untuk Pembuatan Nasi Kotak Menggunakan Fuzzy Tsukamoto Anam, Achmad Chaierul; Musiri, Ali; Harlinton, Zona; Widyarto, Wahyu Oktri
Journal of Machine Learning and Soft Computing Vol 1, No 2 (2019): Volume 1 Nomor 2, July 2019
Publisher : Universitas Serang Raya

Determining a decision in a business is quite difficult. Various considerations must be carefully calculated. Capital and the number of products ordered are sources of consideration that must be taken into account. This study discusses the implementation of fuzzy tsukamoto in making decisions on purchasing raw materials or making orders for rice boxes, where the input is capital of Rp. 3,500,000 and the number of orders is 500 boxes while the results of this study are four outputs including purchasing 93 Kg of rice, purchasing 47 chicken meat, purchasing 21 vegetables or fresh vegetables and purchasing 37 Kg of citrus fruit.

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

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.

Expert System for Diagnosing Types of Diseases in Human Intestine Organs Using the Certainty Factor Method Nurhayatmi, Elis; Muttaqin, Zaenal; Sugiyarta, Ahmad; Hay’s, Ryan Naufal
Journal of Machine Learning and Soft Computing Vol 1, No 2 (2019): Volume 1 Nomor 2, July 2019
Publisher : Universitas Serang Raya

Intestine is one of the organs of the digestive system in the human body which is shaped like pipes and act as gatekeeper food system for our bodies. Many people do not noticed his intestines health because they are too busy with his activity, or lazy to go to the doctor, even when hospital were many visitors there is also felt a lot of to waste time to queue up because they want to get their turn to be checked and a lot of costs to be incurred. This research discusses about creating expert system to diagnose intestinal diseases using certainty factor method. Applications developed with Visual Basic programming language with MySQL as its database. The results of this research able to do early diagnosis of the symptoms that is felt system users, and provide diagnostic results such as type of disease suffered, prevention and its information.

Optimization of Total Production of Refined Sugar From Raw Sugar Raw Materials and Supporting Raw Materials Using the Generate-And-Test Method at PT. DSI Banten Rahayu, Sigit; Kusumah, Andri Budi; Supriyadi, Supriyadi; Widyarto, Wahyu Oktri
Journal of Machine Learning and Soft Computing Vol 1, No 2 (2019): Volume 1 Nomor 2, July 2019
Publisher : Universitas Serang Raya

The search problem is a problem that is commonly applied to systems based on the concept of Artificial Intelligence. One of the well-known heuristic search methods in Artificial Intelligence terminology is Generate and Test. In general, there are no companies operating without raw materials, raw materials in PT. DSI is a type of main and supporting raw material. Refined sugar production at PT. DSI Banten has been experiencing fluctuations in the output of production every day, the data in April 2014 showed from 1-7 consecutively that is 726, 578, 592, 518, 692, 734, 473 tons (PT. DSI, April 2014 ). The purpose of this study is to implement the heuristic search concept with the Generate and Test Algorithm in the search for a combination of the two raw materials to obtain the highest amount of production / output in the form of refined sugar, from the results of this study obtained a system that is able to find the highest amount of sugar production per cuisine, namely in the form of types of supporting raw materials (Limestone CaO, HCL, NaOH) and types of main raw materials (Raw sugar). After conducting research through the heuristic search concept with the GnT method, from 3 types of supporting raw materials (type 1: supplier from PT. SAP, type 2: supplier from PT. MNA, type 3: supplier from PT. CKT) and 3 types of raw material main (raw sugar 1: import from Australia, raw sugar type 2: import from Vietnam, raw sugar type 3: import from Thailand) found an optimization of the two raw materials with the results of supporting material type "3" and main raw material type " 2 "with the amount of 123 tons per cuisine for refined sugar output, the results obtained are able to increase productivity in the refined sugar processing.

Prediksi Jumlah Produksi Tempe Kopti Menggunakan Logika Fuzzy Metode Mamdani PRIMKOPTI Serang Irawan, Andi; Ajie, Ibrahim; Island R., Firnando; Harsiti, Harsiti
Journal of Machine Learning and Soft Computing Vol 1, No 2 (2019): Volume 1 Nomor 2, July 2019
Publisher : Universitas Serang Raya

Capital is one of the problems faced by tempe producers, in each production, tempe producers issue capital that is erratic in order to influence. The level of production of tempeh it produces. In this study we will discuss how the application of fuzzy logic to the variable number of soybeans and the amount of yeast to predict the amount of tempe production. Data analysis was done by the mamdani method to find out the number of tempeh produced by craftsmen. The results of this study are in the form of three variables, namely 95 Kg of soybeans, 70 yeasts of spoonful and 487 pieces of tempe produced.

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

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

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.

Penentuan Pembelian Bahan Baku Dan Jumlah Produksi Makanan Menggunakan Fuzzy Mamdani Pada Usaha Kedai Martabak XYZ Sutrisno, Ade; Fajrin, Fajrin; Anwar, Saiful; Azizi, Sandi; Setyawan, Agus
Journal of Machine Learning and Soft Computing Vol 1, No 2 (2019): Volume 1 Nomor 2, July 2019
Publisher : Universitas Serang Raya

Various problems that often arise in this world often invite uncertainty, fuzzy logic is one method for analyzing systems that contain uncertainties, especially in the business world. In this study analyzing the problem of martabak cake sellers in the production process using the mamdani method or often also known as the min-max method. The problem faced is determining the raw material requirements and the amount of cake that must be produced. The results of the study show that for the raw materials available in such a way that at week 6 the seller needs to produce 720 servings of martabak cake.

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

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.

Intelligent Software for Classification of Regional Inequality in Banten Province Using the Williamson Index Hidayat, Tubagus Rachmat; Harsiti, Harsiti; Muttaqin, Zaenal; Lauryn, Maya Selvia
Journal of Machine Learning and Soft Computing Vol 1, No 1 (2019): Volume 1, Nomor 1, Maret 2019
Publisher : Universitas Serang Raya

The process of development in some areas occur quickly, but several areas experienced a very slow process. In this case, the local government has some problems in the process of implementing of local development, whether in policy making or proposing a strategy for local development, as well as improving the environment in order to support the development of their region's economy. Banten Province is a province located at the west of Java. The administrative conditions which is directly bordered with Jakarta as a capital city and West Java province makes Banten province become the most strategic regions. Based on economic growth data of Banten Province in 2010 - 2015, it can be seen that economic growth of Banten Province is increasing positively in five years. Although the growth of economic development in Banten province tend to be positive, it can be seen significantly that there is still a level of development that has an index of inequality in some districts or cites in Banten. In the process of identification the inequality level among the districts in Banten province, the government usually analyze the case by using manual calculations to determine the policy that should be taken in addressing the inequality that occur in those districts. This process takes quite a long time to take the policy in structuring regional areas. In determining the area of inequality, the government requires Gross Regional Domestic Product (GRDP) data and the data of the population which can be calculated by using several inequality area methods. The method that often used is the Shift Share, Index Gain, Williamson Index and Klassen Typology. In some cases, Williamson index is often used in calculating the inequality between regions or territories. Several studies that had used Williamason index in identifying inequality development usually used the data analysis without particular tools such as software. It complicates the process of inequality analysis if the amount of the data is quite big. Therefore, this study aims to develop the software as a supporting tool for the identification of inequality development using Williamson index. The application is based-website to make it easier for the identification process.

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Contact Name
Tb. Ai Munandar

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jmlsc.unsera@gmail.com

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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

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

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