[1]
S. A. K. Sukadari, Suyata, Penelitian Etnografi Tentang Budaya Sekolah Dalam Pendidikan Karakter Di Sekolah Dasar., p.1–11, (2015).
DOI: 10.21831/jppfa.v3i1.7812
Google Scholar
[2]
I. T. Dinar Mahdalena, Mungin Eddy Wibowo, Pengembangan Modul Bimbingan Karir Berbasis Multimedia Interaktif Untuk Meningkatkan Kematangan Karir Siswa,, J. Bimbing. Konseling, vol. 2, no. 1, p.1–9, (2013).
DOI: 10.30736/akademika.v9i2.69
Google Scholar
[3]
A. D. W. KIisworo, Model Sistem Pendukung Keputusan Menggunakan Metode Fmadm Untuk Seleksi Beasiswa A-PPA Dan Bbp-Ppa Pada Perguruan Tinggi,, p.1–6, (2017).
DOI: 10.25077/teknosi.v2i3.2016.175-188
Google Scholar
[4]
Basri, Metode Weightd Product ( WP ) Dalam Sistem Pendukung Keputusan Penerimaan Beasiswa Prestasi,, Insypro, vol. 2, no. 1, p.1–6, (2017).
DOI: 10.22202/ei.2019.v6i1.3669
Google Scholar
[5]
Fauzi, Nungsiyati, T. Noviarti, M. Muslihudin, R. Irviani, and A. Maseleno, Optimal Dengue Endemic Region Prediction using Fuzzy Simple Additive Weighting based Algorithm,, Int. J. Pure Appl. Math., vol. 118, no. 7, p.473–478, (2018).
Google Scholar
[6]
R. Irviani, I. Dinulhaq, D. Irawan, R. Renaldo, and A. Maseleno, Areas Prone of the Bad Nutrition based Multi Attribute Decision Making with Fuzzy Simple Additive Weighting for Optimal Analysis,, Int. J. Pure Appl. Math., vol. 118, no. 7, p.589–596, (2018).
Google Scholar
[7]
E. Turban, J. E. Aronson, and T.-P. Liang, Decision Support Systems and Intelligent Systems,, Decis. Support Syst. Intell. Syst., vol. 7, p.867, (2007).
Google Scholar
[8]
K. A. Henry Wibowo, Riska Amalia, Andi Fadlun M, Sistem Pendukung Keputusan Untuk Menentukan Penerima Beasiswa Bank BRI Menggunakan FMADM (Studi Kasus: Mahasiswa Fakultas Teknologi Industri Universitas Islam Indonesia),, Semin. Nas. Apl. Teknol. Inf. 2009, no. Snati, p.1–6, (2009).
DOI: 10.35457/antivirus.v11i1.195
Google Scholar
[9]
W. Waziana, R. Irviani, I. Oktaviani, F. Satria, D. Kurniawan, and A. Maseleno, Fuzzy Simple Additive Weighting for Determination of Recipients Breeding Farm Program,, Int. J. Pure Appl. Math., vol. 118, no. 7, p.93–100, (2018).
Google Scholar
[10]
S. Mukodimah, M. Muslihudin, A. Andoyo, S. Hartati, and A. Maseleno, Fuzzy Simple Additive Weighting and its Application to Toddler Healthy Food,, Int. J. Pure Appl. Math., vol. 118, no. 7, p.1–7, (2018).
Google Scholar
[11]
S. Kusumadewi, S. Hartati, A. Harjoko, and Retanto Wardoyo, Fuzzy Multi-Attribute Decision Making (Fuzzy MADM). Yogyakarta: Graha Ilmu, (2013).
Google Scholar
[12]
M. Muslihudin and M. Gumanti, A System To Support Decision Makings In Selection Of Aid Receivers For Classroom Rehabilitation For Senior High Schools By Education Office Of Pringsewu District By,, IJISCS, vol. 1, no. 2, p.1–9, (2017).
DOI: 10.56327/ijiscs.v1i2.495
Google Scholar
[13]
M. Muslihudin, Fauzi, T. S. Susanti, Sucipto, and A. Maseleno, The Priority of Rural Road Development using Fuzzy Logic based Simple Additive Weighting,, Int. J. Pure Appl. Math., vol. 118, no. 8, p.9–16, (2018).
Google Scholar
[14]
A. Alinezhad, A. Amini, and A. Alinezhad, Sensitivity analysis of simple additive weighting method (SAW): the results of change in the weight of one attribute on the final ranking of alternatives,, J. Ind. Eng., (2009).
Google Scholar
[15]
M. M. Febri Ariyanto, Sistem Pendukung Keputusan Menentukan Sekolah Menengah Kejuruan (SMK) Unggulan Di Wilayah Lampung Tengah Menggunakan Metode Topsis,, J. TAM ( Technol. Accept. Model ), vol. 5, no. 2, p.1–8, (2015).
DOI: 10.36448/jmsit.v7i2.964
Google Scholar
[16]
I. S. Sianturi, Sistem Pendukung Keputusan Untuk Menentkan Pemilihan Jurusan Siswa Dengan Menggunakan Metode Weighted Product (Studi Kasus : SMA Swasta HKBP Doloksanggul),, Inf. dan Teknol. Ilm., vol. 1, no. Sistem Pendukung Keputusan, p.19–22, (2013).
DOI: 10.30587/indexia.v1i2.2541
Google Scholar
[17]
J. R. S. C. Mateo, Weighted sum method and weighted product method,, in Green Energy and Technology, 2012, vol. 83, p.19–22.
DOI: 10.1007/978-1-4471-2346-0_4
Google Scholar
[18]
A. Maseleno, M. M. Hasan, M. Muslihudin, and T. Susilowati, Finding Kicking Range of Sepak Takraw Game: Fuzzy Logic and Dempster-Shafer Theory Approach,, Indones. J. Electr. Eng. Comput. Sci., vol. 2, no. 1, p.187, (2016).
DOI: 10.11591/ijeecs.v2.i1.pp187-193
Google Scholar
[19]
A. Maseleno, N. Tuah, and C. R. Tabbu, Fuzzy Logic and Dempster-Shafer Theory to Predict the Risk of Highly Pathogenic Avian Influenza H5N1 Spreading,, World Appl. Sci. J., vol. 34, no. 8, p.995–1003, (2016).
DOI: 10.1016/j.procs.2015.07.349
Google Scholar
[20]
A. Maseleno, M.M. Hasan. (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.
Google Scholar
[21]
A. Maseleno, M.M. Hasan. (2015). Finding Kicking Range of Sepak Takraw Game: A Fuzzy Logic Approach. Indonesian Journal of Electrical Engineering and Computer Science, 14(3), 557-564.
DOI: 10.11591/telkomnika.v14i3.7833
Google Scholar
[22]
A. Maseleno, M.M. Hasan. (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.
DOI: 10.1109/csit.2013.6588750
Google Scholar
[23]
A. Maseleno, M.M. Hasan. (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.
DOI: 10.1109/acsat.2012.8
Google Scholar
[24]
A. Maseleno, M.M. Hasan. (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.
DOI: 10.1109/acsat.2012.8
Google Scholar
[25]
A. Maseleno, M.M. Hasan, N. Tuah, M. Muslihudin. (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.
DOI: 10.1109/icdipc.2015.7323022
Google Scholar
[26]
A. Maseleno, M.M. Hasan, N. Tuah, C.R. Tabbu. (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.
DOI: 10.1016/j.procs.2015.07.349
Google Scholar
[27]
A. Maseleno, G. Hardaker. (2016). Malaria detection using mathematical theory of evidence. Songklanakarin Journal of Science & Technology, 38(3), 257-263.
Google Scholar
[28]
A. Maseleno, M.M. Hasan. (2013). The Dempster-Shafer theory algorithm and its application to insect diseases detection. International Journal of Advanced Science and Technology, 50(1), 111-119.
Google Scholar
[29]
A. Maseleno, M.M. Hasan. (2012). Poultry diseases warning system using dempster-shafer theory and web mapping. International Journal of Advanced Research in Artificial Intelligence, 1(3), 44-48.
DOI: 10.14569/ijarai.2012.010308
Google Scholar
[30]
A. Maseleno, M.M. Hasan. (2012). Skin diseases expert system using Dempster-Shafer theory. International Journal of Intelligent Systems and Applications, 4(5), 38-44.
DOI: 10.5815/ijisa.2012.05.06
Google Scholar
[31]
A. Maseleno, M.M. Hasan. (2012). African Trypanosomiasis Detection using Dempster-Shafer Theory. Journal of Emerging Trends in Computing and Information Sciences, 3(4), 480-487.
Google Scholar
[32]
A. Maseleno, M.M. Hasan. (2012). Avian influenza (H5N1) expert system using Dempster-Shafer theory. International Journal of Information and Communication Technology, 4(2), 227-241.
DOI: 10.1504/ijict.2012.048766
Google Scholar
[33]
A. Maseleno, M. Muslihudin. (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.
DOI: 10.1109/pic.2015.7489914
Google Scholar
[34]
A. Maseleno, M.M. Hasan. (2012). Skin infection detection using Dempster-Shafer theory. Proceedings of International Conference on Informatics, Electronics & Vision (ICIEV). Dhaka, Bangladesh, 1147-1151.
DOI: 10.1109/iciev.2012.6317330
Google Scholar
[35]
A. Maseleno, R.Z. Hidayati. (2017). Hepatitis disease detection using Bayesian theory. In AIP Conference Proceedings. East Kalimantan, Indonesia, 050001-1 – 050001-10.
DOI: 10.1063/1.4975973
Google Scholar
[36]
A. Maseleno, M. Huda, M. Siregar, R. Ahmad, A. Hehsan, Z. Haroon, M.N. Ripin, S.S. Ikhwani, K.A. Jasmi. (2017). Combining the Previous Measure of Evidence to Educational Entrance Examination. Journal of Artificial Intelligence, 10 (3), 85-90.
DOI: 10.3923/jai.2017.85.90
Google Scholar
[37]
T. Susilowati, E.Y. Anggraeni, Fauzi, W. Andewi, Y. Handayani, A. Maseleno, Using Profile Matching Method to Employee Position Movement,, International Journal of Pure and Applied Mathematics, vol. 118, no. 7, pp.415-423, (2018).
Google Scholar
[38]
M. Muslihudin, Trisnawati, A. Latif, S. Ipnuwati, R. Wati, A. Maseleno, A Solution to Competency Test Expertise of Engineering Motorcycles using Simple Additive Weighting Approach,, International Journal of Pure and Applied Mathematics, vol. 118, no. 7, pp.261-267, (2018).
Google Scholar
[39]
Oktafianto, M.R. Al Akbar, Y. Fitrian, Zulkifli, Sodikin, Wulandari, A. Maseleno, Dismissal Working Relationship using Analytic Hierarchy Process Method,, International Journal of Pure and Applied Mathematics, vol. 118, no. 7, pp.177-184, (2018).
Google Scholar
[40]
A. Maseleno, M. Huda, K.A. Jasmi, B. Basiron, I. Mustari, A.G. Don, R. Ahmad, Hau-Kashyap Approach for Student's Level of Expertises,, Egyptian Informatics Journal, (2018).
DOI: 10.1016/j.eij.2018.04.001
Google Scholar