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All Journal Jurnal Teknik Industri APPROACH: Jurnal Teknologi Penerbangan
Ilhamsah, Heri Awalul
Department Of Industrial Engineering, Engineering Faculty, Universitas Trunojoyo Madura, Indonesia
Aerospace Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Electrical & Electronics Engineering Industrial & Manufacturing Engineering

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Development of Artificial Neural Network Model for Estimation of Salt Fields Productivity Indra Cahyadi; Heri Awalul Ilhamsah; Ika Deefi Anna
Jurnal Teknik Industri Vol. 20 No. 2 (2019): August
Publisher : Department Industrial Engineering, University of Muhammadiyah Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (331.617 KB) | DOI: 10.22219/JTIUMM.Vol20.No2.152-160

Abstract

In recent years, Indonesia needs import millions of tons of salt to satisfy domestic industries' demand. The production of salt in Indonesia is highly dependent on the weather. Therefore, this article aims to develop a prediction model by examining rainfall, humidity, and wind speed data to estimate salt production. In this research, Artificial Neural Network (ANN) method was used to develop a model based on data collected from Sumenep Madura Indonesia.  The model analysis used the complete experimental factorial design to determine the effect of the ANN parameter differences. Furthermore, the selected model performance compared with the estimate predictor of Holt-Winters. The results presented that ANN-based models were more accurate and efficient for predicting salt field productivity.
PERENCANAAN PERSEDIAAN BAHAN BAKU DENGAN METODE ECONOMIQ ORDER QUANTITY (EOQ) MENGGUNAKAN ALGORITMA GENETIKA (AG) (STUDI KASUS: PT. XYZ) Heri Awalul Ilhamsah; Ade Novaliana Sari; Mu’alim Mu’alim
Approach : Jurnal Teknologi Penerbangan Vol. 4 No. 1 (2020): April 2020
Publisher : Politeknik Penerbangan Surabaya

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Abstract

The PT. Refindo Intiselaras Indonesia is a manufacturing company that produces underground mining equipment. Rock Bolt is one of the main products produced. The problem that occurred in 2019 was that there was a delay in the production process because the material or raw material stock at PT.RII was lacking or not there, this could not happen to goods or service companies. This study uses the Economiq Order Quantity (EOQ) method approach with a genetic algorithm (AG) to solve the problems that occur. This study aims to minimize production delays, by purchasing optimal raw materials. Resulted in this research for the optimal purchase of raw materials in 2020, from January to August the required requirement for 2.5 mm is 18,186 Kg, 3.2 mm is 17,289 Kg, 3,4 mm is 19,740 Kg with a distance between orders for 3 months with a total purchase transaction of Rp. 26,783,237,193. The results of this study indicate that the total purchase of inventories generated by the Economiq Order Quantity (EOQ) method using a genetic algorithm (GA) is smaller than the company's total purchase cost of Rp. 28,662,000,000 thus saving costs of Rp. 1,878,762,807.
Co-Authors Ade Novaliana Sari Ika Deefi Anna Indra Cahyadi Mu’alim Mu’alim