How to cite this paper
Teniwut, W., Hamid, S & Makailipessy, M. (2020). Mitigation strategy on the uncertainty supply chain of the fisheries sector in small islands, Indonesia.Uncertain Supply Chain Management, 8(4), 705-712.
Refrences
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Anggrahini, D., Karningsih, P. D., & Sulistiyono, M. (2015). Managing quality risk in a frozen shrimp supply chain: a case study. Procedia Manufacturing, 4, 252-260.
Arévalo, J. R., & Fernández-Palacios, J. M. (2003). Spatial patterns of trees and juveniles in a laurel forest of Tenerife, Canary Islands. Plant Ecology, 165(1), 1-10.
Barrett, H. R., Ilbery, B. W., Brown, A. W., & Binns, T. (1999). Globalization and the changing networks of food supply: the importation of fresh horticultural produce from Kenya into the UK. Transactions of the Institute of British Geographers, 24(2), 159-174.
Balaguer, P., Diedrich, A., Sardá, R., Fuster, M., Cañellas, B., & Tintoré, J. (2011). Spatial analysis of recreational boating as a first key step for marine spatial planning in Mallorca (Balearic Islands, Spain). Ocean & Coastal Management, 54(3), 241-249.
Bramer, M. (2007). Principles of data mining (Vol. 180). London: Springer.
Catal, C., Sevim, U., & Diri, B. (2011). Practical development of an Eclipse-based software fault prediction tool using Naive Bayes algorithm. Expert Systems with Applications, 38(3), 2347-2353.
Duda, R. O., & Hart, P. E. (1973). Bayes decision theory. Chapter, 2, 10-43.
Fernandes, R., & Pinho, P. (2017). The distinctive nature of spatial development on small islands. Progress in Planning, 112, 1-18.
Gholami, H., Mohamadifar, A., & Collins, A. L. (2020). Spatial mapping of the provenance of storm dust: Application of data mining and ensemble modelling. Atmospheric Research, 233, 104716.
Gongquan, L. I., & Keyan, X. I. A. O. (2011). Spatial data-mining technology assisting in petroleum reservoir modeling. Procedia Environmental Sciences, 11, 1334-1338.
Hamid, S. K., Teniwut, W. A., Teniwut, R. M., Rahantoknam, M. A., Hasyim, C. L., & Hungan, M. (2017, October). The Support of MPA (Marine Protected Area) in Coral Triangle Area: Evidence from Kei Islands, Indonesia. In IOP Conference Series: Earth and Environmental Science (Vol. 89, No. 1, p. 012025). IOP Publishing
Hamid, S. K., Teniwut, W. A., Teniwut, R. M. K., Renhoran, M., & Arifin, D. (2020). Using data mining and spatial analysis for mapping the economic value and resources of indigenous communal sea in Indonesia: Kei Islands. AACL Bioflux, 13(1).
Hand, D. J. (2007). Principles of data mining. Drug safety, 30(7), 621-622.
Harris, D. R., & Fuller, D. Q. (2014). Agriculture: definition and overview. Encyclopedia of global archaeology, 104-113.
Hinrichs, C. C., & Lyson, T. A. (Eds.). (2007). Remaking the North American food system: Strategies for sustainability. U of Nebraska Press.
Kao, J. H., Chan, T. C., Lai, F., Lin, B. C., Sun, W. Z., Chang, K. W., ... & Lin, J. W. (2017). Spatial analysis and data mining techniques for identifying risk factors of out-of-hospital cardiac arrest. International Journal of Information Management, 37(1), 1528-1538.
Ma, H. L., & Wong, W. H. C. (2018). A fuzzy-based House of Risk assessment method for manufacturers in global supply chains. Industrial Management & Data Systems.
Mingers, J. (2010). Multimethodology. Wiley Encyclopedia of Operations Research and Management Science.
Mingers, J. (2006). A critique of statistical modelling in management science from a critical realist perspective: its role within multi-methodology. Journal of the Operational Research Society, 57(2), 202-219.
Ng, S. S., Xing, Y., & Tsui, K. L. (2014). A naive Bayes model for robust remaining useful life prediction of lithium-ion battery. Applied Energy, 118, 114-123.
Picaulima, S., Teniwut, W. A., Kahfi, S., Teniwut, R. M., Susanti, I. I. D. A. R., Hungan, M., ... & Ngabalin, A. M. (2017, October). Mapping Marine Resources Utilization Based on Seascapes Area: A Study on Gender Comparison. In IOP Conference Series: Earth and Environmental Science (Vol. 89, No. 1, p. 012027). IOP Publishing.
Pourghasemi, H. R., & Saravi, M. M. (2019). Land-Subsidence Spatial Modeling Using the Random Forest Data-Mining Technique. In Spatial Modeling in GIS and R for Earth and Environmental Sciences (pp. 147-159). Elsevier.
Pujawan, I. N., & Geraldin, L. H. (2009). House of risk: a model for proactive supply chain risk management. Business Process Management Journal.
Silva, L. A. E., Siqueira, M. F., dos Santos Pinto, F., Barros, F. S. M., Zimbrão, G., & Souza, J. M. (2016). Applying data mining techniques for spatial distribution analysis of plant species co-occurrences. Expert Systems with Applications, 43, 250-260.
Specht, J. (2007). Small islands in the big picture: The formative period of Lapita in the Bismarck Archipelago. Oceanic Explorations.
Taylor, D. H., & Fearne, A. (2009). Demand management in fresh food value chains: a framework for analysis and improvement. Supply Chain Management: An International Journal.
Teniwut, W. A., & Kabalmay, J. (2015). Emprirical study on evaluation of seaweed cultivation in southeast Maluku. In Prosiding Seminar Ilmiah Tahunan (SIT) Ke-2 Politeknik Perikanan Negeri Tual (Vol. 26, pp. 55-60).
Teniwut, W. A., & Teniwut, R. M. (2018). Minimizing the instability of seaweed cultivation productivity on rural coastal area: a case study from Indonesia. Aquaculture, Aquarium, Conservation & Legislation, 11(1), 259-271.
Teniwut, W. A. (2016). For sustainable revenue of fisheries sector in small islands: evidence of Maluku, Indonesia. Aquaculture, Aquarium, Conservation & Legislation-International Journal of the Bioflux Society (AACL Bioflux), 9(3).
Teniwut, W. A., Teniwut, Y. K., Teniwut, R. M., & Hasyim, C. L. (2017a). Family vs Village-Based: Intangible View on the Sustainable of Seaweed Farming. In IOP Conference Series: Earth and Environmental Science (Vol. 89, No. 1, p. 012021). IOP Publishing.
Teniwut, W. A., Betaubun, K. D., & Djatna, T. (2017b). A conceptual mitigation model for asymmetric information of supply chain in seaweed cultivation. In IOP Conference Series: Earth and Environmental Science (Vol. 89, No. 1, p. 012022). IOP Publishing.Harris, D. R., & Fuller, D. Q. (2014). Agriculture: definition and overview. Encyclopedia of global archaeology, 104-113.
Teniwut, W., Hamid, S., & Makailipessy, M. (2019). Selecting top fisheries sub-sector in each sub-district for sustainable development of archipelagic region in Indonesia: A hybrid fuzzy-MCDM approach. Decision Science Letters, 8(4), 393-41.
Teniwut, W., Marimin, M., & Djatna, T. (2019). GIS-Based multi-criteria decision making model for site selection of seaweed farming information centre: A lesson from small islands, Indonesia. Decision Science Letters, 8(2), 137-150.
Shirowzhan, S., Lim, S., Trinder, J., Li, H., & Sepasgozar, S. M. E. (2020). Data mining for recognition of spatial distribution patterns of building heights using airborne lidar data. Advanced Engineering Informatics, 43, 101033.
Statistic Indonesia. (2020). Maluku Regency in Figures. Statistic of Maluku Tenggara regency. Langgur, Indonesia.
Vroom, P. S., Musburger, C. A., Cooper, S. W., Maragos, J. E., Page-Albins, K. N., & Timmers, M. A. (2010). Marine biological community baselines in unimpacted tropical ecosystems: spatial and temporal analysis of reefs at Howland and Baker Islands. Biodiversity and Conservation, 19(3), 797-812.
Wang, D., Ding, W., Lo, H., Stepinski, T., Salazar, J., & Morabito, M. (2013). Crime hotspot mapping using the crime related factors—a spatial data mining approach. Applied intelligence, 39(4), 772-781.
Watson, J., Trueman, M., Tufet, M., Henderson, S., & Atkinson, R. (2010). Mapping terrestrial anthropogenic degradation on the inhabited islands of the Galapagos Archipelago. Oryx, 44(1), 79-82.
Widiasih, W., Karningsih, P. D., & Ciptomulyono, U. (2015). Development of integrated model for managing risk in lean manufacturing implementation: a case study in an Indonesian manufacturing company. Procedia Manufacturing, 4, 282-290.
Zhang, H. (2005). Exploring conditions for the optimality of naive Bayes. International Journal of Pattern Recognition and Artificial Intelligence, 19(02), 183-198.
Anggrahini, D., Karningsih, P. D., & Sulistiyono, M. (2015). Managing quality risk in a frozen shrimp supply chain: a case study. Procedia Manufacturing, 4, 252-260.
Arévalo, J. R., & Fernández-Palacios, J. M. (2003). Spatial patterns of trees and juveniles in a laurel forest of Tenerife, Canary Islands. Plant Ecology, 165(1), 1-10.
Barrett, H. R., Ilbery, B. W., Brown, A. W., & Binns, T. (1999). Globalization and the changing networks of food supply: the importation of fresh horticultural produce from Kenya into the UK. Transactions of the Institute of British Geographers, 24(2), 159-174.
Balaguer, P., Diedrich, A., Sardá, R., Fuster, M., Cañellas, B., & Tintoré, J. (2011). Spatial analysis of recreational boating as a first key step for marine spatial planning in Mallorca (Balearic Islands, Spain). Ocean & Coastal Management, 54(3), 241-249.
Bramer, M. (2007). Principles of data mining (Vol. 180). London: Springer.
Catal, C., Sevim, U., & Diri, B. (2011). Practical development of an Eclipse-based software fault prediction tool using Naive Bayes algorithm. Expert Systems with Applications, 38(3), 2347-2353.
Duda, R. O., & Hart, P. E. (1973). Bayes decision theory. Chapter, 2, 10-43.
Fernandes, R., & Pinho, P. (2017). The distinctive nature of spatial development on small islands. Progress in Planning, 112, 1-18.
Gholami, H., Mohamadifar, A., & Collins, A. L. (2020). Spatial mapping of the provenance of storm dust: Application of data mining and ensemble modelling. Atmospheric Research, 233, 104716.
Gongquan, L. I., & Keyan, X. I. A. O. (2011). Spatial data-mining technology assisting in petroleum reservoir modeling. Procedia Environmental Sciences, 11, 1334-1338.
Hamid, S. K., Teniwut, W. A., Teniwut, R. M., Rahantoknam, M. A., Hasyim, C. L., & Hungan, M. (2017, October). The Support of MPA (Marine Protected Area) in Coral Triangle Area: Evidence from Kei Islands, Indonesia. In IOP Conference Series: Earth and Environmental Science (Vol. 89, No. 1, p. 012025). IOP Publishing
Hamid, S. K., Teniwut, W. A., Teniwut, R. M. K., Renhoran, M., & Arifin, D. (2020). Using data mining and spatial analysis for mapping the economic value and resources of indigenous communal sea in Indonesia: Kei Islands. AACL Bioflux, 13(1).
Hand, D. J. (2007). Principles of data mining. Drug safety, 30(7), 621-622.
Harris, D. R., & Fuller, D. Q. (2014). Agriculture: definition and overview. Encyclopedia of global archaeology, 104-113.
Hinrichs, C. C., & Lyson, T. A. (Eds.). (2007). Remaking the North American food system: Strategies for sustainability. U of Nebraska Press.
Kao, J. H., Chan, T. C., Lai, F., Lin, B. C., Sun, W. Z., Chang, K. W., ... & Lin, J. W. (2017). Spatial analysis and data mining techniques for identifying risk factors of out-of-hospital cardiac arrest. International Journal of Information Management, 37(1), 1528-1538.
Ma, H. L., & Wong, W. H. C. (2018). A fuzzy-based House of Risk assessment method for manufacturers in global supply chains. Industrial Management & Data Systems.
Mingers, J. (2010). Multimethodology. Wiley Encyclopedia of Operations Research and Management Science.
Mingers, J. (2006). A critique of statistical modelling in management science from a critical realist perspective: its role within multi-methodology. Journal of the Operational Research Society, 57(2), 202-219.
Ng, S. S., Xing, Y., & Tsui, K. L. (2014). A naive Bayes model for robust remaining useful life prediction of lithium-ion battery. Applied Energy, 118, 114-123.
Picaulima, S., Teniwut, W. A., Kahfi, S., Teniwut, R. M., Susanti, I. I. D. A. R., Hungan, M., ... & Ngabalin, A. M. (2017, October). Mapping Marine Resources Utilization Based on Seascapes Area: A Study on Gender Comparison. In IOP Conference Series: Earth and Environmental Science (Vol. 89, No. 1, p. 012027). IOP Publishing.
Pourghasemi, H. R., & Saravi, M. M. (2019). Land-Subsidence Spatial Modeling Using the Random Forest Data-Mining Technique. In Spatial Modeling in GIS and R for Earth and Environmental Sciences (pp. 147-159). Elsevier.
Pujawan, I. N., & Geraldin, L. H. (2009). House of risk: a model for proactive supply chain risk management. Business Process Management Journal.
Silva, L. A. E., Siqueira, M. F., dos Santos Pinto, F., Barros, F. S. M., Zimbrão, G., & Souza, J. M. (2016). Applying data mining techniques for spatial distribution analysis of plant species co-occurrences. Expert Systems with Applications, 43, 250-260.
Specht, J. (2007). Small islands in the big picture: The formative period of Lapita in the Bismarck Archipelago. Oceanic Explorations.
Taylor, D. H., & Fearne, A. (2009). Demand management in fresh food value chains: a framework for analysis and improvement. Supply Chain Management: An International Journal.
Teniwut, W. A., & Kabalmay, J. (2015). Emprirical study on evaluation of seaweed cultivation in southeast Maluku. In Prosiding Seminar Ilmiah Tahunan (SIT) Ke-2 Politeknik Perikanan Negeri Tual (Vol. 26, pp. 55-60).
Teniwut, W. A., & Teniwut, R. M. (2018). Minimizing the instability of seaweed cultivation productivity on rural coastal area: a case study from Indonesia. Aquaculture, Aquarium, Conservation & Legislation, 11(1), 259-271.
Teniwut, W. A. (2016). For sustainable revenue of fisheries sector in small islands: evidence of Maluku, Indonesia. Aquaculture, Aquarium, Conservation & Legislation-International Journal of the Bioflux Society (AACL Bioflux), 9(3).
Teniwut, W. A., Teniwut, Y. K., Teniwut, R. M., & Hasyim, C. L. (2017a). Family vs Village-Based: Intangible View on the Sustainable of Seaweed Farming. In IOP Conference Series: Earth and Environmental Science (Vol. 89, No. 1, p. 012021). IOP Publishing.
Teniwut, W. A., Betaubun, K. D., & Djatna, T. (2017b). A conceptual mitigation model for asymmetric information of supply chain in seaweed cultivation. In IOP Conference Series: Earth and Environmental Science (Vol. 89, No. 1, p. 012022). IOP Publishing.Harris, D. R., & Fuller, D. Q. (2014). Agriculture: definition and overview. Encyclopedia of global archaeology, 104-113.
Teniwut, W., Hamid, S., & Makailipessy, M. (2019). Selecting top fisheries sub-sector in each sub-district for sustainable development of archipelagic region in Indonesia: A hybrid fuzzy-MCDM approach. Decision Science Letters, 8(4), 393-41.
Teniwut, W., Marimin, M., & Djatna, T. (2019). GIS-Based multi-criteria decision making model for site selection of seaweed farming information centre: A lesson from small islands, Indonesia. Decision Science Letters, 8(2), 137-150.
Shirowzhan, S., Lim, S., Trinder, J., Li, H., & Sepasgozar, S. M. E. (2020). Data mining for recognition of spatial distribution patterns of building heights using airborne lidar data. Advanced Engineering Informatics, 43, 101033.
Statistic Indonesia. (2020). Maluku Regency in Figures. Statistic of Maluku Tenggara regency. Langgur, Indonesia.
Vroom, P. S., Musburger, C. A., Cooper, S. W., Maragos, J. E., Page-Albins, K. N., & Timmers, M. A. (2010). Marine biological community baselines in unimpacted tropical ecosystems: spatial and temporal analysis of reefs at Howland and Baker Islands. Biodiversity and Conservation, 19(3), 797-812.
Wang, D., Ding, W., Lo, H., Stepinski, T., Salazar, J., & Morabito, M. (2013). Crime hotspot mapping using the crime related factors—a spatial data mining approach. Applied intelligence, 39(4), 772-781.
Watson, J., Trueman, M., Tufet, M., Henderson, S., & Atkinson, R. (2010). Mapping terrestrial anthropogenic degradation on the inhabited islands of the Galapagos Archipelago. Oryx, 44(1), 79-82.
Widiasih, W., Karningsih, P. D., & Ciptomulyono, U. (2015). Development of integrated model for managing risk in lean manufacturing implementation: a case study in an Indonesian manufacturing company. Procedia Manufacturing, 4, 282-290.
Zhang, H. (2005). Exploring conditions for the optimality of naive Bayes. International Journal of Pattern Recognition and Artificial Intelligence, 19(02), 183-198.