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Journal : knowledge engineering and data science

Decision Support System Determination of Main Work Unitin WPP-711 using Fuzzy TOPSIS Hozairi, Hozairi; Krisnafi, Yaser
Knowledge Engineering and Data Science
Publisher : citeus

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Abstract

Decision-making to determine the working units for being prioritized to be developed in order to improve fishery monitoring in WPP-711 is imperative. The Ministry of Maritime Affairs and Fisheries should make no mismatch decision-making through long-term calculation and analysis. The problem of determining the priority of working units is a complex problem, thus it is required to find an appropriate method to avoid a mismatch decision. Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) is a decision-making method capable of solving multi-criteria problems. TOPSIS working principle determines the alternative by considering the shortest distance from the positive ideal alternative and furthest from the ideal negative solution. To improve the performance of TOPSIS, this research is integrated with Fuzzy logic with the aim of giving the right numeric value preference. From the test of 11 alternatives of 6 criteria, the priority of development of fishery monitoring in FMA 711 is: Pontianak Working Unit= 0.883, Batam Working Unit = 0.767 Natuna Working Unit = 0.681 and Tanjung Pinang Working Unit = 0.423. Furthermore, the ranking result will be used as the basis for determining the strategy in increasing the monitoring of WPP-711 to minimize State losses due to the illegal fishing within Indonesia’s WPP-711 Regions.
Selection of Marine Security Policyusing Fuzzy-AHP TOPSIS Hybrid Approach Hozairi, Hozairi; Buhari, Buhari; Lumaksono, Heru; Tukan, Marcus
Knowledge Engineering and Data Science
Publisher : citeus

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Abstract

The research was focused on the integration of Fuzzy set theory with Analytic Hierarchy Process (AHP) and Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) to choose the optimum maritime security policy to achieve Indonesia recognition as the world's maritime axis. The method used is AHP with fuzzy based enhancement. Here, the weight of each criterion is calculated to overcome the criticism of the scale of unbalanced rating, uncertainty, and inaccuracy in the pairwise of comparison process. The best recommendation for Indonesian maritime policies is multi task single agency which is greatly infuenced by several factors such as technology, regulations, infrastructure, economic, politic, and socio-culture. The finding shows that the hybrid approach is able to produce the best recommendation for Indonesian maritime security policy.
K-Means Clustering and Multilayer Perceptron for Categorizing Student Business Groups Walid, Miftahul; Sahbaniya, Norfiah Lailatin Nispi; Hozairi, Hozairi; Baskoro, Fajar; Wijaya, Arya Yudhi
Knowledge Engineering and Data Science
Publisher : citeus

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Abstract

The research conducted in this study was driven by the East Java provincial government's requirement to assess the transaction levels of the Student Business Group (KUS) in the SMA Double Track program. These transaction levels are a basis for allocating supplementary financial aid to each business group. The system's primary objective is to assist the provincial government of East Java in making well-informed choices pertaining to the distribution of supplementary capital to the KUS. The classification technique employed in this study is the multilayer perceptron. However, the K-Means Clustering method is utilised to generate target data due to the limited availability during the classification process, which involves dividing the transaction level attributes into three distinct groups: (0) low transactions, (1) medium transactions, and (2) high transactions. The clustering process encompasses three distinct features: (1) income, (2) spending, and (3) profit. These three traits will be utilized as input data throughout the categorization procedure. The classification procedure employing the Multilayer Perceptron technique involved processing a dataset including 1383 data points. The training data constituted 80% of the dataset, while the remaining 20% was allocated for testing. In order to evaluate the efficacy of the constructed model, the training error was assessed using K-Fold cross-validation, yielding an average accuracy score of 0.92. In the present study, the categorization technique yielded an accuracy of 0.96. This model aims to classify scenarios when the dataset lacks prior target data.
Co-Authors AA. Masroeri Aang Kisnu Darmawan Abd. Munip Abd. Wafi Ach. Nurul Qomar Ach. Ramadhani Achmad Baihaqi Akhmad Arif Kurdianto Alim, Syariful Alim, Syarigul Amelia Muizatul Masfufah Anwari Anwari Anwari, Anwari Arfianto, Afif Zuhri Artanti, M. D. Arya Yudhi Wijaya Asmara, I Putu Sindhu Bakir Bakir Bakir Bakir Bakir, Bakir Baskoro, Fajar Billy Jhones Camerling Budhi Hascaryo Iskandar Buhari Buhari Buhari Camerling, Billy Jhones Chafid, Nurul Defilia Fatikasari Dian Afriyani Wulandar Efenie, Yuri Fajar Baskoro Finanatun Halimiyah Fitra, Anis Hakamal Fikry Hakiem, Luqmanul Hanafi Heru Lumaksono Heru Lumaksono Heru Lumaksono Heru Lumaksono Hoiriyah, . Hoiriyah, Hoiriyah Husnul Khatimah Husnul Khatimah Imamah Imamah Mailah Isvan Arifuddin John Haluan Juhairiyah Juhairiyah Juhairiyah Juhairiyah Juhairiyah Ketut Buda Artana Khoirur Rohman Kuddus, Abd Kuzairi Lizami, Makinul Lumaksono, Heru Lumaksono, Heru M. Ali Fikri M. Furqon Wahyudi M. Zainul Hasan Madukil Makruf Maisyaroh, Rohimatul Marcus Tukan Marcus Tukan Masdukil Makruf, Masdukil Maulidanitamyizi, Moh Fahmi mochamad zainul Asrori Moh Fahmi Maulidanitamyizi Moh Syamsul Arifin Moh Wakid Moh. Aminollah Hamzah Moh. Badri Tamam Moh. Badri Tamam Moh.Wildan Mauldy Mohammad Isa Irawan Mohammad Thezar Afifudin Mohammad Thezar Afifudin Mohammad Yofa Arifin Muhammad Agus Muljanto Muhsi, Muhsi Munadi Munadi Muzammil Nur Azizah Nurul Badriyah Nurul Hidayat Putri, Dewi Amiliana Putri, Nadira Hijriani Rofiudin Roland Koswara Sa'diyah, Aminatus Sahbaniya, Norfiah Lailatin Nispi Salman Alfarisi Santosa, A. F. Santoso, Teguh Budi Syamsiar, Syamsiar Syariful Alim Syariful Alim Syariful Alim Syariful Alim Syarigul Alim Taufiqurrohman Taufiqurrohman Tukan, Markus Ulifaturrisqoh Wahyudi, Moh. Rafiqi Walid, Miftahul Wawan Kurniawan Yaser Krisnafi Yaser Krisnafi, Yaser Yoga Septian Dwi Pratama Yuri Efenie Zaifuddin, Zaifuddin