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Journal : Jurnal IPTEK

Standard Operation Procedure for The Laundry Industry by Considering Thaharah from Uncleanness Muti, Asri Amalia; Yuniawati, Ratna Diah; Mustaqim, Mustaqim
Jurnal IPTEK Vol 28, No 1 (2024): May
Publisher : LPPM Institut Teknologi Adhi Tama Surabaya (ITATS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31284/j.iptek.2024.v28i1.5052

Abstract

In general, the clothing sorting stage is to only separate clothes based on type, color, material and function. Unclean and hadas are not included in the sorting priority. Guaranteeing the quality of products or services is also very clearly stated in article 7 point d of Law no. 8 of 1999 concerning the obligations of business actors to guarantee the quality of goods and/or services produced. In order to prevent fraud by laundry business actors who do not comply with the quality, level, composition, especially the processing process, style or mode as stated on the label or description of goods and/or services, it is necessary to formulate SOPs as a guideline for running a business. The aim of this research is the need for industrial laundry SOPs that consider thaharah, in order to provide confidence and guarantee the quality of service results and raise awareness of consumer protection so that honesty and responsibility can grow. This research has a qualitative approach and validates the SOP document. From the preparation of the SOP, it was recorded that there were 30 activities with a total time of approximately 23,400 seconds or 6.5 hours, the time required was longer than before. Apart from that, there are changes in the sorting process, namely the unclean classification in the first inspection and the color classification in the second classification. The validation result is that the SOP that has been created is in accordance with the thaharah principle. Furthermore, this research can measure work productivity with the aim of increasing efficiency and effectiveness in work processes and time.
Inventory Analysis of Spare Part Using Always, Better, Control (ABC) and Economic Order Quantity (EOQ) Method in PT. XYZ - Medan Ahmad, Nofan Hadi; Mufti, Wahyu Fitrianda; Sari, Tri Novita; Muti, Asri Amalia; Yulfadila, Yulfadila
Jurnal IPTEK Vol 29, No 2 (2025): December
Publisher : LPPM Institut Teknologi Adhi Tama Surabaya (ITATS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31284/j.iptek.2025.v29i2.7557

Abstract

Inventory plays a pivotal role in a company's logistics, serving both to fulfill external customer demands and to enhance internal production efficiency. However, PT. XYZ in Medan did not address yet several cost factors that could significantly influence the overall procurement expenses of spare parts, particularly given that certain spare parts carry notably high purchase prices. While PT. XYZ has been placing orders for spare parts, these are typically initiated only when stock is depleted, based on the assumption that spare parts fall under the category of slow-moving goods. Consequently, it is imperative to conduct an inventory analysis to identify gap between the existing conditions and the outcomes derived from the proposed methodological approach. The methodology used in this study is Always, Better, Control (ABC) method to classify spare parts based on their cost percentage and Economic Order Quantity (EOQ) method to analyze the economic order size, order frequency and optimal ordering time. From the results of data processing that has been done, there are 7 types of spare parts that fall into category A and there is a decrease in Total Variable Cost (TVC) ranging from 13% to 40% from existing conditions. Ordering costs consist of telecommunications costs, labor costs, fuel costs and loading/unloading costs; while storage costs consist of electricity costs and maintenance costs. Scheduling the time of reordering or sending purchase order (PO) to the vendor, the number of spare part units to be ordered and the estimated arrival of spare parts are carried out based on the EOQ calculation that has been compared and adjusted to the previous existing conditions.