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All Journal Journal of Industrial Engineering Management Journal TEPAT: Teknologi Terapan untuk Pengabdian Masyarakat ARIKA
Sapta Asmal
Hasanuddin University
Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Energy Engineering Industrial & Manufacturing Engineering Public Health

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Journal : Journal of Industrial Engineering Management

 1 
ANALYSIS OF CONTINUOUS QUALITY IMPROVEMENT USING WASTE ASSESSMENT MODEL AND DEMING CYCLE METHOD (STUDY CASE: TAPIOCA STARCH MANUFACTURING) Widi Astutik; Irwan Setiawan; Sapta Asmal
Journal of Industrial Engineering Management Vol 7, No 1 (2022): Journal of Industrial Engineering and Management Vol 7 No 1
Publisher : Center for Study and Journal Management FTI UMI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33536/jiem.v7i1.1104

Abstract

This study explains what waste occurs in the manufacturing industry, where there are 7 wastes, namely excess production, waiting time, unnecessary transportation, excessive processes, excess inventory, unnecessary movements, and defective products. As a result of this waste, the company has lost an output of 46 tons in 1 semester. The purpose of this research is to find out the critical waste and the source of the waste that occurs in the manufacturing industry and then reduce the waste using the waste assessment model and the deming cycle method. The method used to identify waste is the waste assessment model. The waste assessment model consists of 2 stages, namely the waste relationship matrix to determine the relationship between waste and a waste assessment questionnaire to identify the causes of waste. The results of this study obtained critical waste from 7 wastes, namely defect waste with a percentage of 27.94% and the cause of the waste is the frequency of machine breakdowns that occur in area 2 production. It can be concluded that the critical waste in this research is defect waste that originates from engine damage in the production area and within a quarter the waste has been eliminated so that it can maximize the production process.
QUEUING MODEL DESIGN TO OPTIMIZE FOR PRE FLIGHT SERVICES DURING THE COVID-19 PANDEMIC. (Case Study At Sultan Hasanuddin International Airport Makassar) Faisal Halim; Sapta Asmal; Kifayah Amar
Journal of Industrial Engineering Management Vol 7, No 3 (2022): Journal of Industrial Engineering and Management Vol 7 No 3
Publisher : Center for Study and Journal Management FTI UMI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33536/jiem.v7i3.1116

Abstract

This study aims to determine (1) the optimal timing for flight service users before making a flight (pre flight) at Sultan Hasanuddin International Airport Makassar. (2) The optimal standard time during the Pre Flight process during the Covid-19 pandemic at Makassar Sultan Hasanuddin International Airport, and (3) Efforts made by airport managers in minimizing pre flight processing time.This study uses the Flow Process Chart method which is a schematic/diagram depiction that shows all the steps in a program and shows how the steps interact with each other.Based on the results of the analysis, it is concluded that: the optimal time for Pre Flight Services activities at Sultan Hasanuddin International Airport Makassar is not in accordance with the standards that refer to the Decree of the Director General of Civil Aviation where the standard time is still high; the optimal time required for the Pre Flight Services process is 20 minutes 40 seconds for normal time and the standard time is 23 minutes 37 seconds; As for the efforts made to minimize pre-flight processing time, including improving the quality of human resources on duty, increasing airport capacity, correcting infrastructure, regular maintenance of the equipment used and maximizing service at the check-in counter, especially during peak loads
ARABICA COFFEE PRODUCTIVITY IMPROVEMENT STRATEGY WITH VALUE CHAIN ANALYSIS APPROACH (CASE STUDY: SAPAN VILLAGE, NORTH TORAJA Sapta Asmal; Syarifuddin Muhammad Parenreng; Widi Astutik
Journal of Industrial Engineering Management Vol 7, No 3 (2022): Journal of Industrial Engineering and Management Vol 7 No 3
Publisher : Center for Study and Journal Management FTI UMI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33536/jiem.v7i3.1243

Abstract

Coffee is a farm commodity that has an important role in economic activities in Indonesia. The Indonesian coffee sector is dominated by small producers. North Toraja Regency, including in Sapan Village, is known as a producer of high quality coffee but low production. This study aims to examine the strategy of increasing coffee productivity in Sapan Village using value chain analysis. Data were collected through observation and interviews with cultivators in the value chain. This study shows that the productivity of coffee produced is still relatively low. The basic cause of low coffee productivity is that cultivation techniques are not good because information on good agriculture practices is still limited and there is a thought that the selling price of coffee is still low. To increase productivity, farmers need the role of the government. Farmers need counseling on coffee cultivation techniques that are in accordance with the application of GAP and price transparency from the government. If farmers have applied coffee cultivation techniques well, coffee productivity will increase so that farmers' income will also increase.
Co-Authors A. Besse Riyani Indah A. Besse Riyani Indah Amrin Rapi Dian Pratiwi Sahar Faisal Halim Farid Mardin Gerard Antonini Duma Heni Pujiastuti Ilham Bakri Irwan Setiawan Irwan Setiawan Khalifah Amalia Kifayah Amar Kifayah Amar Megasari Kurnia Muhammad Rusman Mulyadi Hambali Nadzirah Ikasari Nilda - Nurfaidah Tahir Retnari Dian Mudiastuti Rosmalina Hanafi Syamsul Bahri Syarifuddin M. Parenreng Syarifuddin Muhammad Parenreng Widi Astutik