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Penggunaan Analisis Multidimensional Scaling Untuk Mengetahui Kemiripan Rumah Sakit Swasta Yang Ada di Jakarta Selatan Berdasarkan Karakteristik Pelanggan Nasihardani, Dana; Satrio, Renno; Khairullah, M. Fikri; Abdurahman, Ridwan; Pambengkas, Rahid
Proceeding Mercu Buana Conference on Industrial Engineering Vol 5 (2023): LEAN AND GREEN FOR SUSTAINABILITY DEVELOPMENT GOALS IN THE I4.0 ERA
Publisher : Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/MBCIE.2023.012

Abstract

The hospital is an institution that supports the implementation of health services. Hospitals in Indonesia are very much started from the private and public levels. The number of these hospitals makes it difficult for the community to differentiate between them. The purpose of this study was to obtain customer descriptions of private hospitals and to find out the similarities between the private hospitals that were used as research objects. The method used is Multidimensional Scaling (MDS). MDS is a multiple variable technique that can be used to determine the position of another object based on its similarity assessment. The results of the Multidimensional Scaling analysis map can be seen that the private hospitals Metropolitan Medical Center Hospital and Jakarta Hospital have a level of similarity in the availability of complete medicines because of their close proximity to each other. As for Tebet Hospital, Medistra Hospital, and Mayapada Kuningan Hospital, South Jakarta, they are relatively far from one another, which means that these three hospitals have no resemblance or dissimilarity.
Quality Control in Indonesia's Coconut Supply Chain Ikatrinasari, Zulfa Fitri; Rais, Suyoto; Pambengkas, Rahid; Alfa, Bonitasari Nurul
Jurnal Agro Industri Perkebunan Vol 14 No 1 (2026): March
Publisher : Politeknik Negeri Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25181/jaip.v14i1.4430

Abstract

Indonesia holds the largest coconut plantation area globally, accounting for 3.37 million hectares or 31.2% of the world’s total. Despite being the top exporter of fresh coconuts in shells, valued at USD 56 million, the country’s coconut exports still have low added value. This study aims to identify the structure and quality control mechanisms of the coconut supply chain in Riau and propose recommendations for improvement. The research employed field surveys involving stakeholders across the supply chain to assess current quality control practices. The supply chain begins with farmers and collectors, leading to either the copra industry (30%) or the coconut processing industry (70%), then to the crude coconut oil (CCO) industry as an intermediate stage. After refining, this becomes Coconut Oil (CNO), which is distributed to the food (38%) and non-food sectors. Quality control practices include sorting coconuts into standard and non-standard categories at the farmer level, and classifying copra into edible (15%), regular (60%), and rejected (25%) types at the copra industry level. The study recommends formalizing coconut classification standards, ensuring copra is free from aflatoxin contamination, and increasing the added value of non-standard coconuts through downstream innovations such as Sustainable Aviation Fuel (SAF). These measures are expected to enhance product quality, support industrial diversification, and strengthen Indonesia’s position in the global coconut market.