Raw material planning for tapioca flour production based on fuzzy logic approach: a case study
The availability of cassava raw materials influences tapioca flour production at small and medium industry's (SMIs) Bogor Regency. Cassava raw material is a crucial factor in producing cassava yields, affecting the amount of tapioca flour production. Planning for cassava raw material must be ca...
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| Format: | Article |
| Language: | Indonesian |
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Universitas Serang Raya
2022-06-01
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| Series: | Jurnal Sistem dan Manajemen Industri |
| Subjects: | |
| Online Access: | https://e-jurnal.lppmunsera.org/index.php/JSMI/article/view/4594 |
| _version_ | 1827348836275716096 |
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| author | Sesar Husen Santosa Agung Prayudha Hidayat Ridwan Siskandar |
| author_facet | Sesar Husen Santosa Agung Prayudha Hidayat Ridwan Siskandar |
| author_sort | Sesar Husen Santosa |
| collection | DOAJ |
| description | The availability of cassava raw materials influences tapioca flour production at small and medium industry's (SMIs) Bogor Regency. Cassava raw material is a crucial factor in producing cassava yields, affecting the amount of tapioca flour production. Planning for cassava raw material must be carried out properly because the quality and quantity of cassava must be maintained to achieve the tapioca flour production target. The results of forecasting the demand for tapioca flour in SMIs using the Multiplicative Decomposition method were 2566 kg with MAD = 173.73 and MAPE = 0.08. Based on the analysis of the effectiveness of the grinding machine, the average value of OEE for one year is 0.32 (32%). Based on the value of demand forecasting results, milling machine OEE and tapioca flour prices, an analysis of cassava raw material needs are carried out using a fuzzy logic approach. The membership set used is Triangular and Trapezoidal Membership Function and Fuzzy Rule Base as many as 81 possibilities. The defuzzification of cassava raw material requirements in SMIs is 17600 kg. Based on the results of defuzzification, the need for raw materials must be increased so that the demand for tapioca flour can be achieved. |
| first_indexed | 2024-03-08T00:19:16Z |
| format | Article |
| id | doaj.art-a085277dc6c041fd93ef2fa4de983caf |
| institution | Directory Open Access Journal |
| issn | 2580-2887 2580-2895 |
| language | Indonesian |
| last_indexed | 2024-03-08T00:19:16Z |
| publishDate | 2022-06-01 |
| publisher | Universitas Serang Raya |
| record_format | Article |
| series | Jurnal Sistem dan Manajemen Industri |
| spelling | doaj.art-a085277dc6c041fd93ef2fa4de983caf2024-02-16T14:10:16ZindUniversitas Serang RayaJurnal Sistem dan Manajemen Industri2580-28872580-28952022-06-0161677610.30656/jsmi.v6i1.45944594Raw material planning for tapioca flour production based on fuzzy logic approach: a case studySesar Husen Santosa0Agung Prayudha Hidayat1Ridwan Siskandar2IPB UniversityIPB UniversityIPB UniversityThe availability of cassava raw materials influences tapioca flour production at small and medium industry's (SMIs) Bogor Regency. Cassava raw material is a crucial factor in producing cassava yields, affecting the amount of tapioca flour production. Planning for cassava raw material must be carried out properly because the quality and quantity of cassava must be maintained to achieve the tapioca flour production target. The results of forecasting the demand for tapioca flour in SMIs using the Multiplicative Decomposition method were 2566 kg with MAD = 173.73 and MAPE = 0.08. Based on the analysis of the effectiveness of the grinding machine, the average value of OEE for one year is 0.32 (32%). Based on the value of demand forecasting results, milling machine OEE and tapioca flour prices, an analysis of cassava raw material needs are carried out using a fuzzy logic approach. The membership set used is Triangular and Trapezoidal Membership Function and Fuzzy Rule Base as many as 81 possibilities. The defuzzification of cassava raw material requirements in SMIs is 17600 kg. Based on the results of defuzzification, the need for raw materials must be increased so that the demand for tapioca flour can be achieved.https://e-jurnal.lppmunsera.org/index.php/JSMI/article/view/4594defuzzificationfuzzy logicforecastingmembership functionoee |
| spellingShingle | Sesar Husen Santosa Agung Prayudha Hidayat Ridwan Siskandar Raw material planning for tapioca flour production based on fuzzy logic approach: a case study Jurnal Sistem dan Manajemen Industri defuzzification fuzzy logic forecasting membership function oee |
| title | Raw material planning for tapioca flour production based on fuzzy logic approach: a case study |
| title_full | Raw material planning for tapioca flour production based on fuzzy logic approach: a case study |
| title_fullStr | Raw material planning for tapioca flour production based on fuzzy logic approach: a case study |
| title_full_unstemmed | Raw material planning for tapioca flour production based on fuzzy logic approach: a case study |
| title_short | Raw material planning for tapioca flour production based on fuzzy logic approach: a case study |
| title_sort | raw material planning for tapioca flour production based on fuzzy logic approach a case study |
| topic | defuzzification fuzzy logic forecasting membership function oee |
| url | https://e-jurnal.lppmunsera.org/index.php/JSMI/article/view/4594 |
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