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Kebijakan Pemerintah Mengenai Coronavirus Disease (COVID-19) di Setiap Provinsi di Indonesia Berdasarkan Analisis Klaster Glisina Dwinoor Rembulan; Tony Wijaya; Desribeth Palullungan; Kartika Nur Alfina; Muhammad Qurthuby
JIEMS (Journal of Industrial Engineering and Management Systems) Vol 13, No 2 (2020): Journal of Industrial Engineering and Management Systems
Publisher : Universitas Bunda Mulia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30813/jiems.v13i2.2280

Abstract

Coronavirus disease (COVID-19) is a disease that was only discovered in 2019 and has been reported to have spread to almost all over the world. This pandemic has caused anxiety and fear for all Indonesians because it can be transmitted easily through humans. This study aims to cluster each province in Indonesia into certain clusters so that they can find out the characteristics, movements, and government policies that must be carried out in each cluster. This study uses secondary data regarding COVID-19 cases in Indonesia, which reached 4800 data from March 1 to August 11, 2020, in 34 Indonesian provinces. The four variables used were the number of cases of death, the number of cured cases, the number of active cases, and the number of deaths per one million population. Cluster 1 has a high risk because it has the highest variable number of active cases and the number of deaths per one million population. Cluster 2 has a low risk because it has a variable with the highest number of cured cases and the lowest number of active cases. Cluster 3 has a moderate risk because it has the lowest number of cures variable and the moderate number of active cases. The government policy in cluster 1 should prioritize the variable number of active cases and the number of death cases per one million population, cluster 2 must prioritize the variable number of deaths, and cluster 3 must prioritize the variable number of active cases.
Mereduksi Voice of Customer pada Pengembangan Produk Alat Pembuka Tutup Galon Menggunakan Analisis Faktor Glisina Dwinoor Rembulan; Tony Wijaya; Andrew Ruslie; Jordy Jordy; Rama Adi Saputra Sunadynatha
JIEMS (Journal of Industrial Engineering and Management Systems) Vol 13, No 2 (2020): Journal of Industrial Engineering and Management Systems
Publisher : Universitas Bunda Mulia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30813/jiems.v13i2.2281

Abstract

Currently, bottled drinking water has become the main choice for Indonesians. The percentage of consumption of bottled drinking water by Indonesians in 2018 reached 36.28% and an increase in 2019 reached 38.25%. One package that is often used is gallon packaging. There are several problems that people find when opening the gallon lid. The results of initial interviews with the community indicated that there were several problems, including the high risk of injury to the hands if you opened the gallon lid using a knife and the hands hurt if you opened the gallon cap manually without tools. These problems can be overcome by developing a product for a gallon cap opener that is tailored to customer needs or voice of customer (VOC). The method used in this research is factor analysis. A large number of community necessities make the product development process difficult because of the many needs that must be met. The purpose of this study was to reduce the number of VOCs. The Kaiser Meyer Olkin (KMO) test was used to see the suitability of the data used in factor analysis, while Bartlett's test was used to determine the significant correlation on each indicator. The result of factor analysis shows that 12 customer needs can be reduced to 3 customer needs, namely affordable gallon cap opening price, adjustable gallon cap opener diameter, and multifunctional gallon lid opener.