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All Journal Pusat Publikasi Ilmu Manajemen Botani: Publikasi Ilmu Tanaman dan Agribisnis
Novia Miftakhul Qisthi
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Agriculture, Biological Sciences & Forestry Decision Sciences, Operations Research & Management Economics, Econometrics & Finance

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Analisis Daya Saing Ekspor Rumput Laut Indonesia Ke China Dan Korea Selatan Greyuni Grace Tambunan; Muhammad Aryo Fachrezi; Novia Miftakhul Qisthi; Muhammad Tsaqifa Ifada; Safira Kencana Putri; Rasidin Karo Karo Sitepu; Nur Faizatul Luthfiah
PPIMAN Pusat Publikasi Ilmu Manajemen Vol. 2 No. 3 (2024): Juli : Pusat Publikasi Ilmu Manajemen
Publisher : Fakultas Ekonomi & Bisnis, Universitas Nusa Nipa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59603/ppiman.v2i3.392

Abstract

Seaweed is a leading Indonesian export commodity that has great potential in the fisheries industry. The purpose of this study is to evaluate Indonesia's seaweed export performance and identify factors that affect its competitiveness in the international market, especially in destination countries such as China and Korea. The research method used quantitative and qualitative analysis methods with Revealed Comparative Advantage (RCA), Export Product Dynamic (EPD), and Export Competitiveness Index (ECI) analysis methods. The data shows that China is the main export destination country for Indonesian seaweed, with a high export contribution of 83% of total exports. South Korea is also an important market, despite fluctuations in export volumes. In addition, this study also revealed the existence of other destination countries such as Chile, Hong Kong, Japan, and the Philippines with varying export contributions each year. Based on the results of the analysis, Indonesian seaweed has a significant comparative advantage in exports to China and Korea, with Korea showing a higher average RCA value over the last five years. EPD analysis indicates that Indonesian seaweed is in a Rising Star position in the Chinese market, signaling a dynamic increase in market share and rapid demand and South Korea is experiencing fluctuations in its competitive position.
Analisis Tata Letak Fasilitas Lsu Farm Melalui Metode Activity Relationship Chart (ARC) Dan Total Closeness Rating (TCR) A. Ricco Galang Erlangga; Khoirul Aziz Husyairi; Enjelina Damayanti; Maunisa Widya Zalianty; Novia Miftakhul Qisthi; Tina Nur Ainun
Botani : Publikasi Ilmu Tanaman dan Agribisnis Vol. 1 No. 2 (2024): Mei: Botani: Publikasi Ilmu Tanaman dan Agribisnis
Publisher : Asosiasi Riset Ilmu Tanaman Dan Hewani Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62951/botani.v1i2.42

Abstract

Efficiency problems in spatial planning at LSU Farm have a significant impact on the effectiveness of the production process. The proximity of raw material storage warehouses to sorting and packaging zones results in congestion that disrupts product flow and quality, as well as triggering backtracking and line crossings that are detrimental to materials management. To overcome this, the Activity Relationship Chart (ARC) method was applied which considers interactions between critical areas such as inbound, sort & repack, outbound, warehouse, employees, cold storage and outdoor offices. ARC's analysis compares the importance of connections between facilities for easier access and consumer convenience, as well as reducing unnecessary movements and improving quality control. The analysis results show that the sort & repack area with the highest Total Closeness Rating (TCR) value (117) is a priority in layout reorganization. Based on these findings, it is recommended that production input warehouses be positioned further away from sorting and packaging areas to maintain product quality and avoid chemical contamination, in line with improving overall operational efficiency.
Co-Authors A. Ricco Galang Erlangga Enjelina Damayanti Greyuni Grace Tambunan Husyairi, Khoirul Aziz Maunisa Widya Zalianty Muhammad Aryo Fachrezi Muhammad Tsaqifa Ifada Nur Faizatul Luthfiah Rasidin Karo-Karo Sitepu Safira Kencana Putri Tina Nur Ainun