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Wahyu Oktri Widyarto
Universitas Serang Raya
Religion Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Mechanical Engineering Social Sciences Transportation Other

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Journal : Journal of Machine Learning and Soft Computing

 1 
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

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (20.687 KB) | DOI: 10.30656/jlmsc.v1i2.1005

Abstract

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.
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

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (20.59 KB) | DOI: 10.30656/jlmsc.v1i2.1677

Abstract

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

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30656/jlmsc.v1i2.1005

Abstract

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.
Determination of the Amount of Masterbatch Production Using the Fuzzy-Mamdani Method Fikri Radiansyah; Wahyu Oktri Widyarto
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 | 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.
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 Sigit Rahayu; Andri Budi Kusumah; Supriyadi Supriyadi; Wahyu Oktri Widyarto
Journal of Machine Learning and Soft Computing Vol. 1 No. 2 (2019): Volume 1 Nomor 2, July 2019
Publisher : Universitas Serang Raya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30656/jlmsc.v1i2.1677

Abstract

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.
Co-Authors Achmad Chaierul Anam Adhim, Fauzul Agung Triayudi Ahmad Nalhadi Akrom, Akrom Ali Musiri Alifia Mahirah Anam, Achmad Chaierul Andari Andari Andri Budi Kusumah Arifiatul Hasanah Aulia Kusumawati, Aulia Azirwan Firdaus Cahyadi, Dadi Dessy Triana Dessy Triana Dicky Meilaz Saputra Djamal, Nugraheni Djamal, Nugraheni Erwin Maulana Tarigan Faisal Ibnu Firmansyah Fauzul Adhim Fikri Habibi Fikri Radiansyah Firdaus, Azirwan Gerry Anugrah Dwiputra Gerry Anugrah Dwiputra, Gerry Anugrah Harlinton, Zona Harsiti Harsiti Heri Maulady Iksal Iksal Izzudin Fikri Akbar Kusumah, Andri Budi Kusumawati, Aulia lia kamelia Muhammad Aqsa Mustafa Musiri, Ali Nina Arlofa Radiansyah, Fikri Rahayu, Sigit Reza Wiliyanto Sahrupi, Sahrupi Shofa, Mohamad Jihan Shofa, Mohamad Jihan Sigit Rahayu Sulistiyono Sulistiyono Sumiati, Sumiati Supriyadi Supriyadi Supriyadi Supriyadi Taufik Rahman Tb. Ai Munandar Wiliyanto, Reza Yitno Kristiantoro Yitno Kristiantoro, Yitno Zona Harlinton