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Penerapan Model Pengendalian Probabilistik untuk Persediaan Bahan Baku Produk Olahan Ikan Berkulit Pangsit pada CV. Bening Jati Anugrah Parung Bogor Khofiyah, Nida An; Zakaria, Roni
JURNAL TEKNIK INDUSTRI Vol. 4 No. 01 (2023): JURNAL TEKNIK INDUSTRI: MEI 2023
Publisher : DPPM UNIVERSITAS PELITA BANGSA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37366/jutin.v4i01.2511

Abstract

Determination of raw material inventory effectively and efficiently is a very important activity in a production process. Based on observations of the company, several problems were found related to the control of production raw material inventories. Such as the cessation of production due to a lack of raw materials to make a product, causing problems with workmanship, completion and delivery of production results to consumers. From this problem it is necessary to have a solution to controlling raw material inventories in companies with a probabilistic control model because demand and lead time are not known with certainty. In applying this control model, it begins with determining a forecasting model, then calculating safety stock, reorder points, lot sizing for each raw material for processed fish products with dumpling skins.
Development of Green Housing Willingness to Pay Conceptual Model on Jabodetabek Community Pangaribuan, Evonella; Yuniaristanto, Yuniaristanto; Zakaria, Roni
Jurnal Teknik Industri: Jurnal Keilmuan dan Aplikasi Teknik Industri Vol. 25 No. 1 (2023): June 2023
Publisher : Institute of Research and Community Outreach - Petra Christian University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.9744/jti.25.1.97-110

Abstract

The need for housing for Indonesian people is increasing yearly due to the high population growth rate. This fact can gradually trigger global warming. There is a need for intervention in the residential sector to minimize the resulting negative impacts by developing a green building concept. This study uses an extended Theory of Planned Behavior to identify the factors influencing purchase intention and willingness to pay for green housing (GH) in the Jabodetabek community. The study collected 347 valid responses through a survey with a purposive sampling method and used structural equation modeling to test the hypotheses. The factors raised in this study are attitudes, perceived behavioral control, subjective norms, environmental concern, subjective knowledge, policy, perceived risks, green communication, green purchase intentions (GPI), and willingness to pay (WTP). This research proves that attitude, policy, and subjective knowledge factors significantly directly affect GPI. Meanwhile, environĀ­mental concerns and subjective knowledge can also significantly and indirectly affect GPI. This study also proves a significant influence between GPI and WTP for GH in the Jabodetabek community. Perceived risk has a significant negative impact on the GPI. Additionally, developers can employ a strategy that combines attitude, subjective knowledge, and environmental concern to design programs that address consumers' cognitive and affective aspects. The government can also play a role in promoting the use of GH through incentives related to green construction.