SISTEM PENDUKUNG KEPUTUSAN DALAM PEMILIHAN ANGGOTA PENARI DENGAN SIMPLE ADDITIVE WEIGHTING (SAW)
(1) STMIK Pringsewu, Lampung
(2) STMIK Pringsewu, Lampung
Corresponding Author
Abstract
Perjalanan dan bentuk seni tari di Indonesia sangat terkait dengan perkembangan kehidupan masyarakat, baik ditinjau dari struktur etnik maupun dalam lingkup negara kesatuan. Penelitian ini menentukan kriteria-kriteria pemilihan anggota penari dan bagaimana menerapkan metode Simple yang berkualitas. Berdasarkan kriteria-kriteria yang telah ditetapkan ialah kemampuan menari kelenturan fisik, keluesan, cekatan, percaya diri, memiliki keterampiolan, mengisi formulir, dan sertifikat prestasi. Dari hasil nilai yang diperoleh maka V1, V2, V3, V4, V5 adalah anggota penari yang berkualitas baik dan memiliki predikat nilai tertinggi dengan skor 100 yang di peroleh V2.
Keywords
References
. Abadi, Satria.; and Latifah, F. (2015). Decison Support System Penilaian Kinerja Karyawan Pada Perusahaan Menggunakan Metode SAW, Jurnal TAM. Vol. 6 Tahun 2016. STMIK Pringsewu.
. Hanifa, Muhamad Muslihudin, Sri Hartati. 2016. Sistem Pendukung Keputusan Menentukan Besar Gaji Untuk Guru Honorer Di Kabupaten Pesawaran Menggunakan Metode Fuzzy SAW. Jurnal Teknologi. IST Akprind Yogyakarta. Vol. 9, No. 1 Hal. 83-88. IST Akprind. Yogyakarta.
. Kurniawan, A.; and Kusrini. (2016). Analisis dan Perancangan Sistem Pendukung Keputusan Penilaiaan Kinerja Guru (PKG) menggunakan metode SAW pada SD Negeri 1 Wonokerto Berbasis WEB. Jurusan Sistem Informasi, Magister Teknik Informatika. STMIK AMIKOM Yogyakarta.
. Huda, M., Maseleno, A., Shahrill, M., Jasmi, K. A., Mustari, I., and Basiron, B. (2017). Exploring Adaptive Teaching Competencies in Big Data Era. International Journal of Emerging Technologies in Learning, 12(3), 68-83.
. Huda, M., Maseleno, A., Atmotiyoso, P., Siregar, M., Ahmad, R., Jasmi, K.A., Muhamad, N.H.N., Mustari, I.M., and Basiron, B. (2017). Emerging Big Data Technologies. Insights into Innovative Environment for Online Learning Resources. International Journal of Emerging Technologies in Learning. (In press).
. Maseleno, A.; and Hasan, M.M. (2011). Fuzzy Logic Based Analysis of the Sepak takraw Games Ball Kicking with the Respect of Player Arrangement. World Applied Programming Journal, 2(5), 285-293.
. Maseleno, A; and Hasan, M.M. (2015). Finding Kicking Range of Sepak Takraw Game: A Fuzzy Logic Approach. Indonesian Journal of Electrical Engineering and Computer Science, 14(3), 557-564.
. Maseleno, A.; and Hasan, M.M. (2013). Fuzzy logic and dempster-shafer theory to find kicking range of sepak takraw game. Proceedings of 5th International Conference on Computer Science and Information Technology (CSIT). Amman, Jordan, 8-12.
. Maseleno, A.; Hasan, M.M.; Muslihudin, M.; and Susilowati, T. (2016). Finding Kicking Range of Sepak Takraw Game: Fuzzy Logic and Dempster-Shafer Theory Approach. Indonesian Journal of Electrical Engineering and Computer Science, 2(1), 187-193.
. Maseleno, A.; and Hasan, M.M. (2013). Dempster-shafer theory for move prediction in start kicking of the bicycle kick of sepak takraw game. Middle-East Journal of Scientific Research, 16(7), 896-903.
. Maseleno, A.; and Hasan, M.M. (2012). Move prediction in start kicking of sepak takraw game using Dempster-Shafer theory. Proceedings of International Conference on Advanced Computer Science Applications and Technologies (ACSAT). Kuala Lumpur, Malaysia, 376-381.
. Maseleno, A.; Hasan, M.M.; Tuah, N.; and Muslihudin, M. (2015). Fuzzy Logic and Dempster-Shafer belief theory to detect the risk of disease spreading of African Trypanosomiasis. Proceedings of Fifth International Conference on Digital Information Processing and Communications (ICDIPC). University of Applied Sciences and Arts Western Switzerland (HES-SEO Valais Wallis), Switzerland, 153-158.
. Maseleno, A.; Hasan, M.M.; Tuah, N.; and Tabbu, C.R. (2015). Fuzzy Logic and Mathematical Theory of Evidence to Detect the Risk of Disease Spreading of Highly Pathogenic Avian Influenza H5N1. Procedia Computer Science, 57, 348-357.
. Maseleno, A.; and Hardaker, G. (2016). Malaria detection using mathematical theory of evidence. Songklanakarin Journal of Science & Technology, 38(3), 257-263.
. Maseleno, A.; and Hasan, M.M. (2013). The Dempster-Shafer theory algorithm and its application to insect diseases detection. International Journal of Advanced Science and Technology, 50(1), 111-119.
. Maseleno, A.; and Hasan, M.M. (2012). Poultry diseases warning system using dempster-shafer theory and web mapping. International Journal of Advanced Research in Artificial Intelligence, 1(3), 44-48.
. Maseleno, A.; and Hasan, M.M. (2012). Skin diseases expert system using Dempster-Shafer theory. International Journal of Intelligent Systems and Applications, 4(5), 38-44.
. Maseleno, A.; and Hasan, M.M. (2012). African Trypanosomiasis Detection using Dempster-Shafer Theory. Journal of Emerging Trends in Computing and Information Sciences, 3(4), 480-487.
. Maseleno, A.; and Hasan, M.M. (2012). Avian influenza (H5N1) expert system using Dempster-Shafer theory. International Journal of Information and Communication Technology, 4(2), 227-241.
. Maseleno, A.; and Muslihudin, M. (2015). Ebola virus disease detection using Dempster-Shafer evidence theory. Proceedings of IEEE International Conference on Progress in Informatics and Computing (PIC). Nanjing, China, 579-582.
. Maseleno, A.; and Hasan, M.M. (2012). Skin infection detection using Dempster-Shafer theory. Proceedings of International Conference on Informatics, Electronics & Vision (ICIEV). Dhaka, Bangladesh, 1147-1151.
. Maseleno, A.; and Hidayati, R.Z. (2017). Hepatitis disease detection using Bayesian theory. In AIP Conference Proceedings. East Kalimantan, Indonesia, 050001-1 – 050001-10.
. Maseleno, A.; Huda, M.; Siregar, M.; (2017). Combining the Previous Measure of Evidence to Educational Entrance Examination. Journal of Artificial Intelligence, 10 (3), 85-90.
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