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Identification of Production Decline Factors using the LEAN DMAI Method Ika Widya Ardhyani; Sherly Ardhya Garini; Fitri Suhartiningrum; Qurrota Akyun
Jurnal Ilmiah Teknik Industri Vol. 22, No. 1, June 2023
Publisher : Department of Industrial Engineering Universitas Muhammadiyah Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23917/jiti.v22i1.20013

Abstract

PT Himalaya Mitra Sukses, is a company engaged in the cooking seasoning and flavoring industry. The products produced include tomato sauce, chili sauce, and premix flour. The company has problems achieving less than optimal productivity, which later became the basis of this research. In this research, identification of waste that occurs in the production process using the Lean DMAI method. The data in this research were processed and analyzed based on 4 main stages: (1) Big Picture Mapping (BPM); (2) making Pareto Diagrams; (3) Root Cause Analysis (RCA); (4) the Failure Mode Effect and Analysis (FMEA) method to reduce the existing waste. Based on the results of the research, it is known that the types of waste identified are overproduction, defects, waiting processes, unnecessary inventory, and excess displacement. Of these many factors, the largest waste is caused by the defect factor of the tomato sauce type product which is runny and too acidic, because the operator does not follow the existing SOP with an RPN value of 392.
Penerapan Koefisien Aliran untuk Mendukung Budidaya Tanaman Bernilai Ekonomi Tinggi (Studi Kasus: Kwanyar Bangkalan, Indonesia) Widya Utama; Anicetus Wihardjaka; Nourma Al Viandari; Dwa Desa Warnana; Wien Lestari; Eki Komara; Sherly Ardhya Garini; Rista Fitri Indriani; Dhea Pratama Novian Putra; Annisa R. Varhana
Jurnal Penelitian Pendidikan IPA Vol. 9 No. 9 (2023): September
Publisher : Postgraduate, University of Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jppipa.v9i9.3307

Abstract

The initial study that we carried out regarding the Kwanyar sub-district area, Bangkalan, East Java, shows the need to optimize land productivity and analyze the potential for farming to build the welfare of the people of the Kwanyar subdistrict. Preliminary spatial data analysis related to the topography as a result of Digital Elevation Model (DEM) data processing shows that: the Kwanyar sub-district is dominated by flat slopes (0-8°) compared to the northern region of the Kwanyar sub-district, while runoff water analysis shows a low flow coefficient (0- 0.25) which means that most of the Kwanyar area has low absorption capacity and a high potential for stagnant water. In addition, the Kwanyar region has a Regosol soil type. Regosol soil has a coarse texture and low organic matter, which makes it unable to properly hold water and minerals for plants, so it tends to be infertile. The initial study then became the basis for this research.