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All Journal Jurnal Teknik Industri: Jurnal Keilmuan dan Aplikasi Teknik Industri Darmabakti : Junal Pengabdian dan Pemberdayaan Masyarakat Journal of Research in Industrial Engineering and Management
Yosi Agustina Hidayat
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Humanities Education Engineering Industrial & Manufacturing Engineering Other

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Upaya Peningkatan Kualitas Wisata Halal di Kota Sabang Melalui Penyediaan Air Minum Dengan Teknologi Reverse Osmosis Qoriah, Qoriah; Hidayat, Esa; Hidayat, Yosi Agustina; Rahmansyah, Sutiadi
Darmabakti : Jurnal Pengabdian dan Pemberdayaan Masyarakat Vol 5 No 02 (2024): Darmabakti : Jurnal Pengabdian dan Pemberdayaan Masyarakat
Publisher : Lembaga Peneliian dan Pengabdian Masyarakat (LPPM) Universitas Islam Madura (UIM)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31102/darmabakti.2024.5.02.200-206

Abstract

Kota Sabang merupakan salah satu destinasi favorit di Indonesia yang terletak di Pulau Weh. Berlokasi di ujung barat Provinsi Aceh dan terpisah dari daratan utama membawa pengaruh keterbatasan terhadap kebutuhan hidup masyarakat. Satu diantaranya adalah air minum, dimana permasalahan di Pulau Weh adalah air tanah yang tersedia mengandung ‘karang’ menurut warga setempat. Guna mengatasi isu tersebut, maka dibutuhkan pendekatan berbasis teknologi tepat guna. Kegiatan pengabdian masyarakat ini bertujuan untuk mengimplementasikan teknologi Reverse Osmosis (RO) sebagai solusi kebutuhan air minum di Kota Sabang. Proses RO dalam sistem pengolahan air minum sudah umum diaplikasikan dalam dunia industri, namun dalam kesempatan ini mesin diletakkan dalam ruang publik guna mendukung peningkatan kualitas pariwisata khususnya wisata halal. Pemasangan alat di Masjid Babussalam Kota Sabang diharapkan mampu memberikan pengalaman unik bagi wisatawan dalam menikmati wisata halal, selain itu dapat dijadikan sebagai program sedekah air minum yang bermanfaat bagi masyarakat yang berkelanjutan.
Economic Order Quantity Model for Growing Items with Incremental Quantity Discounts, Capacitated Storage Facility, and Limited Budget Hidayat, Yosi Agustina; Riaventin, Veterina Nosadila; Jayadi, Okky
Jurnal Teknik Industri: Jurnal Keilmuan dan Aplikasi Teknik Industri Vol. 22 No. 1 (2020): June 2020
Publisher : Institute of Research and Community Outreach - Petra Christian University

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (438.546 KB) | DOI: 10.9744/jti.22.1.1-10

Abstract

The development of the inventory model started when Harris introduced the classic inventory model. It was firstly published by Wilson using the optimization method. He derived a mathematical equation model to obtain economic order quantities. Later, this model is known as the classic Economic Order Quantity (EOQ) or Wilson Model. The classic inventory EOQ model has some limitations. The model assumed that order items do not have physical changes during a planning period. This assumption becomes the weakness of the classical EOQ inventory model. Many items have material changes during a planning period, such as amelioration, deterioration, and growth. This research proposed a new mathematical model. The model relaxes three implicit assumptions of the classical EOQ: (1) the ordered items do not grow; (2) unlimited capacity; and (3) unlimited budget. A solution procedure to solve the model was developed and illustrated with a numerical example. A numerical example was performed to compare the result between the reference model and the new model. The number of ordered items per cycle time increased by 7%, and cycle time increased by 28%. It increased because the proposed model tends to choose large purchased quantities to get a cheap price. It caused the number of ordered items per cycle time to be larger and the cycle time to be smaller than the reference model. This research also provided sensitivity analysis. It showed the response of decision variables to some changes in input parameters.
Pengembangan Produk Multi-Item untuk Model Inventaris EOQ dengan Kualitas Barang Tidak Sempurna Harahap, Fariz; Harkinata, Dwitra; Kamaralo, Melviani Karolin; Hidayat, Yosi Agustina
Journal of Research in Industrial Engineering and Management Vol 3 No 2 (2025): November 2025
Publisher : Program Studi Teknik Industri, Fakultas Teknologi Industri, Institut Teknologi Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61221/jriem.v3i2.31

Abstract

The competitive business environment encourages manufacturing companies to produce high-quality goods. However, companies often receive raw materials that do not meet production standards. These imperfect raw materials are caused by various factors such as improper shipping processes, damage, human error, and soon. This leads to a shortage of raw materials during the production process, necessitating reordering to meet production needs. The objective of this research is to develop a formulation model to determine the optimal ordering time intervals, order lot sizes, and total profit when a company has more than one raw material from a single supplier while considering the presence of defective goods. The research processes data by deriving the EOQ formula from a previous study model on single-item inventory policy with defective products, extending it to a multi-item inventory policy with defective products. The results show that the multi-item model generates 1.5 times higher total profit compared to the single-item model ($51,307 vs. $34,064 per unit per year). In addition, the ordering interval for the multi-item model is 52.1 days longer compared to the single-item model, which only has a 10-day interval. Finally, the multi-item model involves larger order lot sizes. Ordering raw materials simultaneously reduces ordering and holding costs, making the multi-item model more efficient and yielding higher profits than the single-item model.
Co-Authors Dwitra Harkinata, Dwitra Gunawan Mangkuharjo Harahap, Fariz Hidayat, Esa Hui-Ming Wee Jayadi, Okky Kamaralo, Melviani Karolin Qoriah, Qoriah Riaventin, Veterina Nosadila Sutiadi Rahmansyah