A conceptual mitigation model for asymmetric information of supply chain in seaweed cultivation

Teniwut, Wellem Anselmus; Betaubun, Kamilius D; Marimin, Marimin; Djatna, Taufik

doi:10.1088/1755-1315/89/1/012022

Cited by 5 publications

(3 citation statements)

References 25 publications

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“…As region consists of small islands and located far from the main islands and cities in Indonesia, Southeast Maluku District posses certain and distinct characteristics especially on its current infrastructure development, human resources capabilities, connectivity, and knowledge on the use of technology. Based on the previous studies from Teniwut et al, (2017a); Teniwut and Teniwut (2018); Hamid et al, (2017); Picaulima et al, (2017); Teniwut et al, (2017b), the infrastructure in general is underdevelopment compared with some big cities in the region also in Kei Islands there is still a huge gap on urban and rural area, coastal communities in the region mostly have low formal educational background where most of their knowledge are based on their experience and knowledge pass by their elders. In addition, the connectivity in the regions also provide a challenge for supply chain.…”

Section: Introductionmentioning

confidence: 99%

Selecting top fisheries sub-sector in each sub-district for sustainable development of archipelagic region in Indonesia: A hybrid fuzzy-MCDM approach

Teniwut¹,

Hamid²,

Makailipessy³

2019

10.5267/j.dsl

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As archipelagic region, an effort to effectively enhance and accelerate the development of each sub-districts to boost the rapid development of Southeast Maluku district in Indonesia cannot happen as long as the local government fails to identify the real potentials and power in fisheries sector of each sub-districts. Identification of each sub-district fisheries top sub-sector has to be based on the human resources, natural resources, infrastructure, current and potential market, current policy of local and central government. A multi-criteria decision making (MCDM) is one of the powerful tools to provide a better result based on complicated factors involved. This paper proposed an integrated MCDM, to tackle the complicated factors in order to provide the best commodities on each sub-districts. Bottom-up concept was used to have a comprehensive result, by combining Fuzzy logic with Analytical Hierarchy Process (AHP) to measure the factors using fuzzy logic with Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) for determining the top sub-sector in fisheries. For comprehensive assessment of macro factors the study used experts ranging from government, scientists, practitioners to NGOs. On the other hand, for micro factors the survey used field instructor, field officer, fishers and farmers. The results provide a guideline for local and central government to form a better policy regarding the development of each sub-district including farmers, fishers and coastal communities in each subdistrict to focus on commodities that benefited their regions' resources and coastal community's capabilities. By doing so, we hope to contribute on crafting an integrated and collective path on reaching the goal which is the welfare of coastal region. .

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Section: Introductionmentioning

confidence: 99%

Selecting top fisheries sub-sector in each sub-district for sustainable development of archipelagic region in Indonesia: A hybrid fuzzy-MCDM approach

Teniwut¹,

Hamid²,

Makailipessy³

2019

10.5267/j.dsl

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“…One of the causes of a decline in seaweed production in the Southeast Maluku Regency was the uneven distribution of information in its supply chain. [8] One of the limitations of the aquaculture business in coastal communities is the access and use of the latest relevant technology in the production process [6], [7]. The socio-economic factors such as potential conflicts also affect the sustainability of aquaculture businesses that are more efficient with optimal benefits [9].…”

Section: Introductionmentioning

confidence: 99%

A Web-based DSS: Information System for Sustainable Fisheries Supply Chain in Coastal Communities of Small Islands Indonesia

Teniwut¹,

Hasyim²,

Arifin

2021

Int. J. Adv. Sci. Eng. Inf. Technol.

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Recent advances in the development of information technology and the rapid use of decision support systems play significant roles in various fields, including the fisheries sector. Fishery-based activity for small island regions created more complicated problems that limited marine resources and high production costs. Thus, the need to develop efficient and effective tools for interconnecting supply and production becomes more crucial than ever to help local coastal communities. This study aimed to designs a web-based DSS for a sustainable supply chain of sectors in Southeast Maluku Regency, Indonesia (SIRIPIKAN). Firstly, we crafted the DSS framework to identify the fishing, supplier, and seller locations. Secondly, we measured the level of sustainability of marine resources. Thirdly, the web-based DSS can help local coastal communities increase managers' capability and ability in the fisheries-related business activity carried out. SIRIPIKAN aims to increase the profitability of fisheries business activities in coastal communities and preserve marine resources. This research combined the data mining activities with spatial analysis to obtain the cluster support map and MSY to measure sustainability and feasibility study as an approach for the development of the system. The model provides an integrated sustainable production with users' input used to optimize the decision-making process of profitability and sustainability in existing marine resources.

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“…In small islands region especially in Indonesia, access of internet and the knowledge of using search engine is not as much as the people who live in urban and big cities, which can affect the productivity of coastal community' daily activities includes fisheries. As evidence in Southeast Maluku District, where seaweed farmers struggled to maintain their productivity in recent years due to asymmetric information related to seaweed farming supply chain (Teniwut, et al, 2017a). Therefore, it is crucial to improve the information flow among seaweed farmer in the region.…”

Section: Introductionmentioning

confidence: 99%

GIS-Based multi-criteria decision making model for site selection of seaweed farming information centre: A lesson from small islands, Indonesia

Teniwut¹,

Marimin²,

Djatna³

2019

10.5267/j.dsl

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Seaweed had proven to become a fisheries commodity to provide a significant multiplier economic effect for coastal community in Southeast Maluku District during 2005-2013. However, the declining on the productivity of seaweed has given a direct impact on welfare of farmers and coastal communities in this region during the recent years, due to asymmetric information on seaweed farming associated with prices, latest technology and all pre and post production activities. Thus, forming a dedicated information centre for seaweed farming in the region has become a necessity. As small island regions, in Southeast Maluku district, farmers and all stakeholder have to deal with cliché problems such as insufficient infrastructure, lack of transportation, farmers locations that spread across the islands. This paper focused on the selection of suitable location for the information centre for seaweed farming in Southeast Maluku district, Indonesia. Analytical hierarchy process (AHP), in classical and fuzzy forms, was an approach used on this study for suitability analysis. Moreover, GIS for spatial analysis in addition to AHP was used to compare the best results for the location of information centre for seaweed farmers. The results show that fuzzy AHP could provide more suitability location compared with conventional AHP. Most of suitability locations were located in three sub-districts regions and also most of them were located in Kei Kecil Island and Kei Besar Islands due to the geographical characteristics of the region. The sensitivity analysis was conducted to measure the sensitivity of the results when the weight of each criterion was changed. The outcome of this study was to serve its purpose as an input and comparison study for a recent local government of Southeast Maluku' policy on developing seaweed farming in this region. .

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A conceptual mitigation model for asymmetric information of supply chain in seaweed cultivation

Cited by 5 publications

References 25 publications

Selecting top fisheries sub-sector in each sub-district for sustainable development of archipelagic region in Indonesia: A hybrid fuzzy-MCDM approach

Selecting top fisheries sub-sector in each sub-district for sustainable development of archipelagic region in Indonesia: A hybrid fuzzy-MCDM approach

A Web-based DSS: Information System for Sustainable Fisheries Supply Chain in Coastal Communities of Small Islands Indonesia

GIS-Based multi-criteria decision making model for site selection of seaweed farming information centre: A lesson from small islands, Indonesia

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