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All Journal Jurnal Pendidikan Informatika dan Sains Bianglala Informatika : Jurnal Komputer dan Informatika Akademi Bina Sarana Informatika Yogyakarta Indonesian Journal on Software Engineering (IJSE) Perspektif : Jurnal Ekonomi dan Manajemen Universitas Bina Sarana Informatika Khasanah Ilmu - Jurnal Pariwisata Dan Budaya Jurnal Teknik Komputer AMIK BSI Cakrawala : Jurnal Humaniora Bina Sarana Informatika Paradigma Jurnal Teknik Informatika STMIK Antar Bangsa Jurnal Sisfokom (Sistem Informasi dan Komputer) JI-Tech Jurnal Infortech Jurnal Sistem Informasi Jurnal Pengabdian kepada Masyarakat Abditeknika - Jurnal Pengabdian Kepada Masyarakat Computer Science (CO-SCIENCE) JUSTIAN - Jurnal Sistem Informasi Akuntansi Reputasi: Jurnal Rekayasa Perangkat Lunak Jurnal Insan Indonesian Community Service Journal of Computer Science
Ahmad Setiadi
Universitas Bina Sarana Informatika
Agriculture, Biological Sciences & Forestry Arts Humanities Chemical Engineering, Chemistry & Bioengineering Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Engineering Environmental Science Languange, Linguistic, Communication & Media Library & Information Science Physics Public Health Social Sciences Other

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Journal : Paradigma

 1 
PENERAPAN ALGORITMA MULTILAYER PERCEPTRON UNTUK DETEKSI DINI PENYAKIT DIABETES Ahmad Setiadi
Paradigma Vol 14, No 1 (2012): PERIODE MARET 2012
Publisher : LPPM Universitas Bina Sarana Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (509.726 KB) | DOI: 10.31294/p.v14i1.3378

Abstract

Each year, patient of diabetes mellitus is increasing, so that is needed the diagnose technique which is effective to detect in early. Neural network as a model of data mining can be used to predict wether someone is suffered from diabetes mellitus or not. In this research, Multilayer Perceptron (MLP) as a neural network algorithm is used, not only because this algorithm has agood ability in predicting but also because this algorithm is commonly used. In this research, the processed data is total of 768 records and as a result of checking up Indian Pima women at least 21 years old.. To implement the MLP algorithm, SPSS Neural Network 17.0 is used. The result of implementing algorithm then is evaluated by using confusion matrix method and ROC (Receiver Operating Characteristic) curve method. This result is proved that implementation of MLP algorithm to detect diabetes mellitus for Indian Pima has a good performance. The value of accuracy by confusion matrix method is 77,7 %. Using ROC curve method, this research shows the accuracy of 0,83, so that it is including as good classification because it is being among 0,8 until 0,9. This research proved that MLP Algorithm can be used to detect diabetes mellitus in early time.Keywords: diabetes mellitus, neural network model, multilayer perceptron, confusion matrix, kurva ROC
Penerapan Metode Simple Additive Weighting (SAW) Dalam Penentuan Jenis Mobil Honda Yang Paling Diminati Muchamad Ridwan; Ahmad Setiadi; Norma Yunita; Siti Marlina
Paradigma Vol 21, No 2 (2019): Periode September 2019
Publisher : LPPM Universitas Bina Sarana Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (64.415 KB) | DOI: 10.31294/p.v21i2.6560

Abstract

For some people, car is no longer a luxury item that is difficult to obtain. Cars are one of the means of effective and efficient daily transportation. The specifications of each Honda car offered at PT Mitrausaha Gentaniaga Puri are very diverse and have advantages and disadvantages in terms of price, fuel consumption, cylinder content, fuel tank capacity, passenger capacity, and Other features. This makes the prospective buyers of Honda cars difficult to determine for themselves which car suits his needs. One method of decision support system that can be used in the Honda car selection at PT Mitrausaha Gentaniaga Puri is the Simple Additive Weighting (SAW) method. The concept of this method is to look for the weighted summation of the performance rating on each alternative of all attributes. An alternative with the largest value is the final result obtained to be used as a consideration for prospective buyers of Honda cars at PT Mitrausaha Gentaniaga Puri and the cars in demand are Mobilio, BRV, and CRV. Keywords : Car, Decision Support System, Simple Additive Weighting
Co-Authors Achmad Sumbaryadi, Achmad Angelia, Helen Anisa Ratna Ningsih Anisa Unabillah Arief Fadholi Asti Taslimah desi, Siti Zulaiha Eni Pudjiarti Fitri Puji Lestari Ibung Prasetio Nugroho Jekson Rudianto Jenri Wandi Situngkir Kartika Handayani Khalila, Ayasha Noor Linda Marlinda Mahmud Safudin Maruloh Maruloh Mely Mailasari Muchamad Ridwan Muhammad Fahmi Julianto Nani Solihati Norma Yunita Norma Yunita Nugroho, Ibung Prasetio Nur Azizah Roy Rachmat Adi Purnama Rustini, Desy Siti Marlina Siti Nurhidayati Sulistyowati, Daning Nur Syamsul Arifin Syifa Nadhira Taufik Asra Wahyutama Fitri Hidayat Yesni Malau Yoseph Tajul Arifin Yuda, Andika Kurnia Sandi Yunita Yunita yunita yunita Yunita, Norma Yusnia Budiarti