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Strategi Mitigasi Risiko Produktivitas Pada Proses Assembly Hospital Equipment Hendradewa, Andrie Pasca; Ma'arij, Adienta Mustika
Jurnal Media Teknik dan Sistem Industri Vol 5, No 1 (2021)
Publisher : Universitas Suryakancana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35194/jmtsi.v5i1.1214

Abstract

The rapid development of technology and industrialization demands an increasing need for strategic planning. One of the strategies needed for a company to remain competitive in the industrialized world is to increase productivity. However, practically several companies still experience difficulties in making efforts to increase productivity so that the productivity achieved is not optimal. The same thing happened at PT. Mega Andalan Kalasan, especially on the Assembly Unit of the Hospital Equipment. Where the productivity achieved cannot be categorized as optimal because it can be seen from the number of non-value added activities that occur in assembly process. Among the products produced, it is known that the Operating Table Manual product has the highest percentage of non-value added activity, which is 30% of the total cycle time. This study aims to identify risks using the Failure Mode and Effect Analysis (FMEA) method and design a mitigation strategy as an initial effort to improve productivity by minimizing non-value added activities. The identification results show that there are 22 risks with moderate severity but high occurrence. Recommendations in the form of implementing better quality control on incoming materials are one of the strategies which capable of mitigating 40% of the risk of existing non value added activities. Adanya perkembangan teknologi dan industrialisasi yang semakin pesat menuntut kebutuhan akan perencanaan strategi semakin meningkat. Salah satu strategi yang dibutuhkan agar sebuah perusahaan dapat tetap bersaing di dunia perindustrian adalah dengan meningkatkan produktivitas. Namun pada penerapannya, beberapa perusahaan masih mengalami kesulitan dalam melakukan upaya peningkatan produktivitas sehingga produktivitas yang dicapai belum optimal. Hal yang serupa terjadi di PT. Mega Andalan Kalasan, khususnya pada lantai kerja Assembly unit Hospital Equipment. Dimana produktivitas yang dicapai belum bisa dikatakan optimal karena terlihat dari banyaknya non value added activity yang terjadi pada proses assembly. Diantara sejumlah produk yang dihasilkan, diketahui bahwa pengerjaan produk Operating Table Manual memiliki persentase non value added activity yang tertinggi yaitu sebanyak 30% dari total waktu siklusnya. Penelitian ini bertujuan untuk mengidentifikasi risiko dengan menggunakan metode Failure Mode and Effect Analysis (FMEA) dan merancang strategi mitigasi sebagai upaya awal untuk memperbaiki produktivitas dengan meminimalisir aktivitas non value added. Hasil identifikasi menunjukkan terdapat 22 risiko dengan tingkat severity sedang namun memiliki occurence yang tinggi. Rekomendasi berupa penerapan quality control yang lebih baik terhadap incoming material menjadi salah satu strategi yang mampu memitigasi 40% risiko aktivitas non value added yang ada.
Risk Analysis on the Growth Rate of Covid-19 Cases in Indonesia Using Statistical Distribution Model Utari, Dina Tri; Hendradewa, Andrie Pasca
Enthusiastic : International Journal of Applied Statistics and Data Science Volume 1 Issue 1, April 2021
Publisher : Universitas Islam Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (244.284 KB) | DOI: 10.20885/enthusiastic.vol1.iss1.art3

Abstract

Coronavirus or Covid-19 outbreak has been declared as a pandemic and many countries were not ready to deal with such an eventuality. The highly rapid rate of transmission is one reason for the need to take mitigation measures, since healthcare system has limited capacity. Indonesia is one of the countries that has lost medical resources to the pandemic. In order to provide more comprehensive information about the characteristics of Covid-19 in Indonesia, risk analysis of the occurrence of new cases was needed. This study proposes a related overview about risk occurrence of new Covid-19 cases per daily basis by performing distribution fitting technique to form a statistical distribution model. Among the available alternative models, Geometric distribution is the most suitable to describe the growth of new cases in Indonesia. Received February 12, 2021Revised March 25, 2021Accepted April 15, 2021