Abdan Syakura
Program Studi Teknik Industri, Universitas Sebelas Maret

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Sistem Pakar Pemupukan Kelapa Sawit Menggunakan Metode Forward Chaining Yusuf Priyandari; Roni Zakaria; Abdan Syakura
Performa: Media Ilmiah Teknik Industri Vol 16, No 2 (2017): PERFORMA Vol. 16, No 2 September 2017
Publisher : Industrial Engineering Study Program, Faculty of Engineering, Universitas Sebelas Maret

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (725.976 KB) | DOI: 10.20961/performa.16.2.16978

Abstract

Oil palm smallholders require knowledge of fertilization because the fertilization is an influential factor in the productivity of fresh fruit bunches. On the other hand, the oil palm smallholders generally don’t have fertilizer expertise and they face a difficulty in determining good fertilization (good in type, dosage, time and manner) based on various literatures. Therefore, a simple application that can provide recommendations for palm oil fertilization is developed. The recommendations are based on expert knowledge that have been written in various literatures. Like an expert system, the application is designed by compiling knowledge base, constructing an inference engine and creating a prototype. The knowledge bases, that are facts and rules, are prepared using rule-based reasoning approach, the inference engine is compiled using forward chaining methods and the prototype is made using a visual basic application in a spreadsheet application. The application design uses facts of plant varieties, phases or age of plants, soil types, nutrient deficiency in soil and plants, rainfall, fertilizer content, and nutrient properties (synergies or antagonist) on fertilizers. The Applications made capable of providing fertilization recommendations by conducting forward chaining based on data-given facts and rules that have been made on the knowledge base.
Analisis Penggunaan Peramalan dalam Meminimalkan Biaya Simpan Produk Linzhi Plus pada CV. HN Abdan Syakura; Oktiviandri Hendaryani; Rafiq Ramadhan
Performa: Media Ilmiah Teknik Industri Vol 15, No 2 (2016): PERFORMA Vol. 15 No. 2, September 2016
Publisher : Industrial Engineering Study Program, Faculty of Engineering, Universitas Sebelas Maret

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (443.777 KB) | DOI: 10.20961/performa.15.2.9826

Abstract

CV. HN is a manufacturer of herbal supplements which products are mostly made from mushroom. Lingzhi Plus is one of their products. The product inventory data from October 2014 until September 2015 showed that the monthly average production was 111 units, the monthly average sales was 103 units, and the remaining product inventory at the end of the year was 108 units. The products that approaching the expiration date will be sold with a discount of 20%. The high amount of remaining products leads to high  production and storage cost. Therefore, companies should resolve the inventory control problem. This study proposes a method for controlling inventory and production by selecting the best demand forecasting method. The forecasting method MA4 shows the smallest error value which is known from MAD value of 30.66. By using the proposed method of forecasting, the company will earn saving of Rp 915,939.40 of inventory cost