Model Konseptual Customer Order Decoupling Point pada Agroindustri Udang

Herlina, Lina; Machfud, M.; Anggraeni, Elisa; Sukardi, S

doi:10.23917/jiti.v17i2.6663

Cited by 3 publications

(2 citation statements)

References 5 publications

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“…Adanya sifat pasokan bahan baku yang terbatas berkaitan dengan jumlah, ukuran, dan kualitas, serta kontinuitas pasokan ikan. Selain itu, karakteristik ikan sebagai perishable food dengan waktu panen musiman membutuhkan upaya ekstra dari agroindustri perikanan untuk memenuhi permintaan konsumen (Herlina et al, 2018).…”

Section: Karakteristik Tahap Pembelian Bahan Bakuunclassified

STRATEGI PENINGKATAN PRODUKTIVITAS INDUSTRI PERIKANAN BERBASIS BAHAN BAKU DI PELABUHAN PERIKANAN SAMUDERA NIZAM ZACHMAN JAKARTA (Improvement strategy for the fisheries industry productivity based on raw materials in Nizam Zachman Jakarta Ocean Fishing Port)

Suhadak

Darmawan

Zulkarnain

2022

Jurnal Sosial Ekonomi Kelautan dan Perikanan

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ABSTRAK Produktivitas industri perikanan berbasis pemenuhan bahan baku menjadi salah satu fokus kebijakan pembangunan kelautan dan perikanan lima tahun kedepan. Beberapa studi menunjukkan kondisi kekurangan bahan baku, tetapi studi lain melaporkan peningkatan sember daya ikan. Kekurangan bahan baku diduga bukan hanya disebabkan oleh kurangnya ketersediaan ikan, tetapi interaksi dan mekanisme pasar yang terjadi menyebabkan industri pengolahan harus mempertimbangkan berbagai faktor dalam menentukan keputusan pembelian bahan baku. Penelitian ini bertujuan untuk mengidentifikasi tahap pengambilan keputusan pembelian, mengidentifikasi permasalahan dan menentukan rekomendasi strategi mengatasi permasalahan. Penelitian ini merupakan studi kasus terhadap dua perusahaan yang telah memiliki approval number untuk ekspor ke Uni Eropa. Observasi dan wawancara mendalam dilakukan kepada responden dan selanjutnya dianalisis secara kualitatif untuk menggambarkan kondisi dan permasalahan. Hasil penelitian menunjukkan terdapat permasalahan pada penyediaan bahan baku. Faktor – faktor yang mempengaruhi pengambilan keputusan pembelian bahan baku adalah dinamika permintaan negara buyer dan kesepakatan harga negosiasi. Rekomendasi kebijakan yang dapat dilakukan adalah mencari pasar potensial baru dan melakukan pengaturan pegawai. Kata kunci : bahan baku; industri perikanan; negosiasi; produktivitas; strategi. ABSTRACT The Productivity of the fisheries industry based on the fulfillment of raw materials becomes one of marine and fishery development policy focus in the next five years. Various studies show the raw materials deficiency condition, but other studies report an increase in fish stock. The shortage of raw materials is thought to be caused not only by the lack of availability of fish, but also the interaction and market mechanisms that occur causing the processing industry to consider various factors in determining the decision to purchase raw materials. This study aims to identify the stages of purchasing decisions, identify problems, and determine recommendations for problem-solving strategies. This research is a case study of two companies that already have approval numbers for export to the European Union. Observations and in-depth interviews were conducted with respondents and then analyzed with qualitative to describe conditions and problems. The results showed that there are problems in the provision of raw materials. The influencing factors to the decision making are the dynamics of buyer's country demand and negotiated price agreements. Policy recommendations are finding new potential markets and making employee arrangements. Keywords: fisheries industry; negotiated; productivity; raw material; strategy.

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Section: Karakteristik Tahap Pembelian Bahan Bakuunclassified

STRATEGI PENINGKATAN PRODUKTIVITAS INDUSTRI PERIKANAN BERBASIS BAHAN BAKU DI PELABUHAN PERIKANAN SAMUDERA NIZAM ZACHMAN JAKARTA (Improvement strategy for the fisheries industry productivity based on raw materials in Nizam Zachman Jakarta Ocean Fishing Port)

Suhadak

Darmawan

Zulkarnain

2022

Jurnal Sosial Ekonomi Kelautan dan Perikanan

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“…Each product freezing process can be done Individually Quick Freezing (IQF) and semi IQF. The production process in shrimp agroindustry is illustrated through a product transformation (Figure 1) [23]. The raw material for the product is raw shrimp that perishable and various sizes.…”

Section: Shrimp Agroindustry Productionmentioning

confidence: 99%

Pareto-based algorithm for adaptive aggregate production and distribution planning in shrimp agroindustry supply chain

2019

J. appl. phys. sci.

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In the global supply chain, the integration of production and distribution is one of the important activities that must be carried out. This also applies to the shrimp agroindustry supply chain. The shrimp agroindustry is one of the agro-food industries that deals with processing raw shrimp into various frozen shrimp products. The demand for frozen shrimp products is very diverse, while the supply of raw shrimp consists of various sizes and has perishable properties. To ful ill consumer demand, aggregate production planning must be made adaptively. Adaptive means being able to improve aggregate planning due to changes in demand. Integration of adaptive aggregate production and distribution planning will result in better planning. Based on this, we developed an adaptive aggregate production and distribution model for the shrimp agroindustry supply chain. Non-dominated Sorting Genetic Algorithm II (NSGA-II) which is a pareto-based algorithm is used to solve the problem. The aim is to minimize total costs and maximize service levels. The sample problem from the shrimp agroindustry in East Java is used to show the ef iciency of the proposed algorithm.

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Determination and Application of Critical Control Points on Ebi Fry Production (Value Added Product) at PT. Jala Sembilan Semarang, Central Java

Putraisya

Triastuti²

2022

JMCS

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Java. The quality of ebi fry products is largely determined by the quality management of the company, one of it is the determination and application of the Critical Control Point (CCP). The purpose of this study is to determine the determination of CCP and the problems that occur in the application of CCP in the production of ebi fry at PT. Jala Sembilan Semarang, Central Java. This Field Work Practice is carried out at PT. Jala Sembilan which is located at Jalan Tugu Industri IV No. 3, Randu Garut, Tugu District, Semarang City, Central Java on December 30, 2019 to January 23, 2020. The working method used is a descriptive method with data collection including primary data and secondary data. Data collection can be done by means of active participation, observation, interviews, and literature review. Determination of CCP is done after analyzing the hazards in each production process flow. Ebi fry production at PT. Jala Sembilan has 2 CCPs, namely on package receiving and metal detecting. The application of CCP on the receipt of ebi fry packaging has been carried out by checking allergen labels. The application of CCP in metal detecting has encountered problems, namely the metal detector machine that has interference and is not sensitive so that every time the product is passed the alarm is always on.

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Model Konseptual Customer Order Decoupling Point pada Agroindustri Udang

Cited by 3 publications

References 5 publications

STRATEGI PENINGKATAN PRODUKTIVITAS INDUSTRI PERIKANAN BERBASIS BAHAN BAKU DI PELABUHAN PERIKANAN SAMUDERA NIZAM ZACHMAN JAKARTA (Improvement strategy for the fisheries industry productivity based on raw materials in Nizam Zachman Jakarta Ocean Fishing Port)

STRATEGI PENINGKATAN PRODUKTIVITAS INDUSTRI PERIKANAN BERBASIS BAHAN BAKU DI PELABUHAN PERIKANAN SAMUDERA NIZAM ZACHMAN JAKARTA (Improvement strategy for the fisheries industry productivity based on raw materials in Nizam Zachman Jakarta Ocean Fishing Port)

Pareto-based algorithm for adaptive aggregate production and distribution planning in shrimp agroindustry supply chain

Determination and Application of Critical Control Points on Ebi Fry Production (Value Added Product) at PT. Jala Sembilan Semarang, Central Java

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