Integration k-means clustering method and elbow method for identification of the best customer profile cluster MA Syakur, BK Khotimah, EMS Rochman, BD Satoto IOP conference series: materials science and engineering 336, 012017, 2018 | 1063 | 2018 |
Pengembangan Sistem Informasi Penerimaan Siswa Baru Berbasis Web Di Sma 1 Annuqayah Sumenep AS Zein, EM Sari Jurnal Ilmiah Edutic: Pendidikan dan Informatika 4 (2), 53-62, 2018 | 63 | 2018 |
Design an Adaptive E-learning Application Architecture based on IEEE LTSA reference model YK Andharini Dwi Cahyani, Ari Basuki, Eka Mala Sari Rohman TELKOMNIKA Telecommunication, Computing, Electronics and Control 13 (no 1 …, 2015 | 20* | 2015 |
Comparison of the traveling salesman problem analysis using neural network method A Rachmad, EMS Rochman, D Kuswanto, I Santosa, RK Hapsari, ... International Conference on Science and Technology (ICST 2018), 1057-1061, 2018 | 10 | 2018 |
Corn leaf disease classification using local binary patterns (LBP) feature extraction A Rachmad, M Syarief, S Rifka, F Sonata, W Setiawan, EMS Rochman Journal of Physics: Conference Series 2406 (1), 012020, 2022 | 9 | 2022 |
Using K-means algorithm and FP-growth base on FP-tree structure for recommendation customer SME MA Syakur, BK Khotimah, EMS Rochman, BD Satoto Journal of Theoretical and Applied Information Technology 96 (4), 1102-1113, 2018 | 9 | 2018 |
Method extreme learning machine for forecasting number of patients’ visits in dental poli (A case study: Community Health Centers Kamal Madura Indonesia) EM Sari Rochman, A Rachmad, MA Syakur, IO Suzanti Journal of Physics: Conference Series 953, 012133, 2018 | 9 | 2018 |
Prediksi harga saham yang mempertimbangkan faktor eksternal menggunakan jaringan saraf tiruan EMS Rochman, A Djunaidy Jurnal Ilmiah NERO 1 (2), 2014 | 9 | 2014 |
Machine learning and deep learning for maize leaf disease classification: A review W Setiawan, EMS Rochman, BD Satoto, A Rachmad Journal of Physics: Conference Series 2406 (1), 012019, 2022 | 8 | 2022 |
Classification of corn diseases using random forest, neural network, and naive bayes methods A Ubaidillah, EMS Rochman, DA Fatah, A Rachmad Journal of Physics: Conference Series 2406 (1), 012023, 2022 | 8 | 2022 |
Konsep dan Aplikasi EMS Rochman, S Kom, M Kom | 8 | 2017 |
Comparison of clustering in tuberculosis using fuzzy c-means and k-means methods EMS Rochman, H Suprajitno Commun. Math. Biol. Neurosci. 2022, Article ID 41, 2022 | 7 | 2022 |
Comparison of SAW and WP methods to determine the best agricultural land SS Putro, F Adiputra, EMS Rochman, A Rachmad, MA Syakur, SB Seta Commun. Math. Biol. Neurosci. 2021, Article ID 49, 2021 | 7 | 2021 |
Implementation of fuzzy mamdani for recommended tourist locations in Madura-Indonesia EMS Rochman, I Pratama, A Rachmad Journal of Physics: Conference Series 1477 (2), 022033, 2020 | 7 | 2020 |
Ant colony system based ant adaptive for search of the fastest route of tourism object Jember, East Java DR Anamisa, A Rachmad, EMS Rochman Journal of Physics: Conference Series 1477 (5), 052053, 2020 | 7 | 2020 |
Analysis of the result of the ant colony system adaptive on tourism object DR Anamisa, EMS Rochman, A Rachmad J. Multidiscip. Eng. Sci. Technol 6, 9446-9448, 2019 | 7 | 2019 |
The selection of new students RSBI using fuzzy SAW based application A Rachmad, M Syakur, E Widjaya, Y Pramudita, D Anamisa, S Putro, ... The 1st International Conference on Computer Science and Engineering …, 2018 | 7 | 2018 |
Decision Support System of Poor Community Category in Sampang District using AHP (Analytical Hierarchy Process) E Rochman, S Hidayatullah, M Syakur, A Khozaimi, A Jauhari, ... The 1st International Conference on Computer Science and Engineering …, 2018 | 7 | 2018 |
Predicting Medicine-Stocks by Using Multilayer Perceptron Backpropagation AR Eka MalaSari Rohman,Imamah International Journal of Science and Engineering Applications 5 (3), 188-191, 2016 | 7 | 2016 |
Convolutional Neural Network-Based Classification Model of Corn Leaf Disease. A Rachmad, M Fuad, EMS Rochman Mathematical Modelling of Engineering Problems 10 (2), 2023 | 6 | 2023 |