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OPTIMIZATION OF SMALL FISHERIES ENTERPRISE WITH FISHERY PERFORMANCE INDICATORS THROUGH TRIPLE BOTTOM LINE Maulana, Danis; Wati, Merlin Dyah; Agatha Putri, Mirza Safitri
Jurnal Entrepreneur dan Entrepreneurship Vol. 6 No. 2 (2017): Jurnal Entrepreneur dan Entrepreneurship
Publisher : Universitas Ciputra Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (2340.745 KB) | DOI: 10.37715/jee.v6i2.642

Abstract

The development of micro, small and medium enterprises (MSMEs) in Indonesia underwent an increasing trend from 2013 to the end of 2014. This was evidenced by self-reliant SMEs whose main economic activities were in the macro sector. Inversely, MSMEs’ fisheries sector only contributed 3.25% to GDP in 2014. The assessment of macro fishery performance system can be measured through Fishery Performance Indicators method as introduced by James L. Anderson and Christopher M. Their export assessment method is based on input and output factors reflecting success in achieving sustainability. By knowing the size of the export, Small Fisheries Enterprise can maximize the aspects needed in optimizing the process from upstream to downstream using Triple Bottom Line method. This method is implemented based on three measures of economic, social, and environmental performance. They measure business success not only in terms of financial perspective but also economic perspective by optimizing the National Fish Logistics System broadly and involving communities and environments.
Analisis Kinerja, Seleksi dan Pengembangan Vendor Trucking di Perusahaan Logistik Wati, Merlin Dyah; Praharsi, Yugowati; Sari, Devina Puspita
Metris: Jurnal Sains dan Teknologi Vol. 21 No. 02 (2020): Desember
Publisher : Prodi Teknik Industri, Fakultas Teknik - Universitas Katolik Indonesia Atma Jaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25170/metris.v21i02.2492

Abstract

Freight forwarding is a logistics company which provide land delivery services rely heavily on trucking vendors. The available trucking vendors may not fulfill the company's expectations. Therefore the research was conducted to analyze the performance, selection process, management and development of 26 trucking vendors. The research began with the formation of a Critical Success Factor (CSF) and its development, namely a Key Performance Indicator (KPI) in accordance with company objectives. Then the CSF and KPI was weighted through the Analytic Hierarchy Process (AHP) method, determined the optimal performance value of each KPI, measured the performance of each vendor through the scoring method, analyzed the performance of the trucking vendor that was not optimal through Root Cause Analysis (RCA) by looking for the cause based on fishbone diagrams and FMEA tables, as well as providing suggestions regarding the management and development of trucking vendors. The results of the study were 11 CSFs and 28 KPIs that were formed. Based on the selection process conducted on 26 trucking vendors, there are 3 excellent vendors, 4 very good vendors, 11 good vendors, 3 matching vendors, and 5 unsatisfactory vendors. Furthermore, researcher conducted root cause analysis (RCA) of vendor representatives “matching” and “unsatisfactory” categories with fishbone diagrams and FMEA tables. Where the 5 highest RPN values from the FMEA table were given suggestions for improvement. Meanwhile, the excellent, very good, and good vendor categories are developed through strategic plans for the future.