Collaboration FMADM And K-Means Clustering To Determine The Activity Proposal In Operational Management Activity
AbstractIndonesian government agencies under the Ministry of Energy and Mineral Resources still use manual methods in determining and selecting proposals for operational activities to be carried out. This study uses the Decision Support System (DSS) method, namely Fuzzy Multiple Attribute Decision Decision (Fmadm) and K-Means Clustering method in managing Operational Plan activities. Fmadm to select the best alternative from a number of alternatives, alternatives from this study proposed activity proposals, then ranking to determine the optimal alternative. The K-Means Clustering Method to obtain cluster values for alternatives on the criteria for activity dates, types of activities, and activity ceilings. The last iteration of the Euclidian distance calculation data on k-means shows that alternatives that have the smallest centroid value are important proposal criteria and the largest centroid value is an insignificant proposal criteria. The results of the collaboration of the Fmadm and K-Means Clustering methods show the optimal ranking of activities (proposal activities) and the centroid value of each alternative.
H. A. Nugroho, T. Pinandita, Sistem Penilaian Proposal Penelitian Dosen Universitas Muhammadiyah Purwokerto Berbasis Web Service dengan Android, JUITA: Jurnal Informatika 2 (3).
Z.-Y. Lv, L.-W. Zheng, X.-N. Liang, X.-Z. Liang, A fuzzy multiple attribute decision making method based on possibility degree, Journal of Intelligent & Fuzzy Systems 31 (2) (2016) 787â€“794.
S. Yu, B. Li, Q. Zhang, M. Q.-H. Meng, An optimal parking space search model based on fuzzy multiple attribute decision making, in: Intelligent Control and Automation (WCICA), 2012 10th World Congress on, 2012, pp. 4350 â€“ 4355.
F. N. Khasanah, A. E. Permanasari, S. SuningKusumawardani, Fuzzy MADM for major selection at senior high school, in: Information Technology, Computer, and Electrical Engineering (ICITACEE), 2015 2nd International Conference on, 2015, pp. 41â€“45.
S. F. Pane, R. M. Awangga, B. R. Azhari, Qualitative Evaluation of RFID Implementationon Warehouse Management System, TELKOMNIKA (Telecommunication Computing Electronics and Control) 16 (3).
R. M. Awangga, N. S. Fathonah, T. I. Hasanudin, Colenak: GPS tracking model for post-stroke rehabilitation program using AES-CBC URL encryption and QR-Code, in: 2017 2nd International conferences on Information Technology, Information Systems and Electrical Engineering (ICITISEE), IEEE, 2017, pp. 255â€“260. URL 10.1109 /ICITISEE. 2017.8285506
J. Yi, S. Li, M. Wu, H. A. Yeung, W. W. Fok, Y. Wang, F. Liu, Cloud-based educational big data application of apriori algorithm and k-means clustering algorithm based on studentsâ€™ information, in: Big Data and Cloud Computing (BdCloud), 2014 IEEE Fourth International Conference on, 2014, pp. 151â€“158.
L. Guoli, W. Tingting, Y. Limei, L. Yanping, G. Jinqiao, The improved research on k-means clustering algorithm in initial values, in: Mechatronic Sciences, Electric Engineering and Computer (MEC), Proceedings 2013 International Conference on, 2013, pp. 2124â€“2127.
S.-H. Jung, J.-C. Kim, C.-B. Sim, Prediction data processing scheme using an artificial neural network and data clustering for Big Data, International Journal of Electrical and Computer Engineering 6 (1) (2016) 330.
A. Bedboudi, C. Bouras, M. T. Kimour, An Heterogeneous Population-Based Genetic Algorithm for Data Clustering, Indonesian Journal of Electrical Engineering and Informatics (IJEEI) 5 (3) (2017) 275â€“284.
Q. Shi, L. Xu, Z. Shi, Y. Chen, Y. Shao, Analysis and research of the campus network userâ€™s behavior based on k-means clustering algorithm, in: Digital Manufacturing and Automation (ICDMA), 2013 Fourth International Conference on, 2013, pp. 196â€“201.
Barakbah, Ali Ridho, and Kohei Arai. "Centronit: Initial Centroid Designation Algorithm for K-Means Clustering." EMITTER International journal of engineering technology 2.1 (2014): 50-62.
S. Narabin, V. Boonjing, Selecting students to a dormitory using AHP, in: Computer Science and Software Engineering (JCSSE), 2016 13th International Joint Conference on, 2016, pp. 1 â€“ 5.
M. Mansouri, C. Leghris, The use of MADM methods in the vertical handover decision making context, in: Wireless Networks and Mobile Communications (WINCOM), 2017 International Conference on, 2017, pp. 1 â€“ 6.
S.-M. Chen, J.-A. Hong, Fuzzy multiple attributes group decision-making based on ranking interval type-2 fuzzy sets and the TOPSIS method, IEEE Transactions on Systems, Man, and Cybernetics: Systems 44 (12) (2014) 1665â€“1673.
S. Kusumadewi, S. Hartati, A. Harjoko, R. Wardoyo, Fuzzy Multi-Attribute Decision Making (Fuzzy MADM), Yogyakarta: Graha Ilmu.
J. MacQueen, et al., Some methods for classification and analysis of multivariate observations, in: Proceedings of the fifth Berkeley symposium on mathematical statistics and probability, Vol. 1, 1967, pp. 281â€“297.
Z. Gheid, Y. Challal, Efficient and Privacy-Preserving k-Means Clustering for Big Data Mining, in: Trustcom/BigDataSE/I SPA, 2016 IEEE, 2016, pp. 791â€“798.
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