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All Journal TELKOMNIKA (Telecommunication Computing Electronics and Control) Bulletin of Electrical Engineering and Informatics Bulletin of Electrical Engineering and Informatics Bulletin of Electrical Engineering and Informatics JOIV : International Journal on Informatics Visualization JRSI (Jurnal Rekayasa Sistem dan Industri) Syntax Literate: Jurnal Ilmiah Indonesia Jurnal Teknik Industri: Jurnal Keilmuan dan Aplikasi Teknik Industri SEIKO : Journal of Management & Business METHODIKA: Jurnal Teknik Informatika dan Sistem Informasi J-SAKTI (Jurnal Sains Komputer dan Informatika) JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) Indonesian Journal of Electrical Engineering and Computer Science International Journal of Advances in Data and Information Systems JURNAL PENDIDIKAN, SAINS DAN TEKNOLOGI Charity : Jurnal Pengabdian Masyarakat J-SAKTI (Jurnal Sains Komputer dan Informatika) Abdiformatika: Jurnal Pengabdian Masyarakat Informatika eProceedings of Engineering International Journal of Advanced Science Computing and Engineering Community Service Seminar and Community Engagement (COSECANT) Kesatria : Jurnal Penerapan Sistem Informasi (Komputer dan Manajemen) SITEKNIK: Sistem Informasi, Teknik dan Teknologi Terapan
Rd. Rohmat Saedudin
Universitas Telkom
Arts Humanities Automotive Engineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Industrial & Manufacturing Engineering Law, Crime, Criminology & Criminal Justice Mathematics Social Sciences Other

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Journal : Bulletin of Electrical Engineering and Informatics

 1 
Comparative analysis of classification algorithms for chronic kidney disease diagnosis Zainuri Saringat; Aida Mustapha; R. D. Rohmat Saedudin; Noor Azah Samsudin
Bulletin of Electrical Engineering and Informatics Vol 8, No 4: December 2019
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (349.3 KB) | DOI: 10.11591/eei.v8i4.1621

Abstract

Chronic Kidney Disease (CKD) is one of the leading cause of death contributed by other illnesses such as diabetes, hypertension, lupus, anemia or weak bones that lead to bone fractures. Early prediction of CKD is important in order to contain the disesase. However, instead of predicting the severity of CKD, the objective of this paper is to predict the diagnosis of CKD based on the symptoms or attributes observed in a particular case, whether the stage is acute or chronic. To achieve this, a classification model is proposed to label stage of severity for kidney diseases patients. The experiments then investigated the performance of the proposed classification model based on eight supervised classification algorithms, which are ZeroR, Rule Induction, Support Vector Machine, Naïve Bayes, Decision Tree, Decision Stump, k-Nearest Neighbour, and Classification via Regression. The performance of the all classifiers is evaluated based on accuracy, precision, and recall. The results showed that the regression classifier perform best in the kidney diagnostic procedure.
A regression approach for prediction of Youtube views Lau Tian Rui; Zehan Afizah Afif; R. D. Rohmat Saedudin; Aida Mustapha; Nazim Razali
Bulletin of Electrical Engineering and Informatics Vol 8, No 4: December 2019
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (447.771 KB) | DOI: 10.11591/eei.v8i4.1630

Abstract

YouTube has grown to be the number one video streaming platform on Internet and home to millions of content creator around the globe. Predicting the potential amount of YouTube views has proven to be extremely important for helping content creator to understand what type of videos the audience prefers to watch. In this paper, we will be introducing two types of regression models for predicting the total number of views a YouTube video can get based on the statistic that are available to our disposal. The dataset we will be using are released by YouTube to the public. The accuracy of both models are then compared by evaluating the mean absolute error and relative absolute error taken from the result of our experiment. The results showed that Ordinary Least Square method is more capable as compared to the Online Gradient Descent Method in providing a more accurate output because the algorithm allows us to find a gradient that is close as possible to the dependent variables despite having an only above average prediction.
Co-Authors Abel Nathalia Widyastoro Adityas Adityas Adityas Widjadjarto Afif, Zehan Afizah Ahmad Fakhri Rizaldi Ahmad Munansyah Aida Mustapha Aida Mustapha, Aida Alfinansyah, Muhammad Dzaki Alfrianiko Anggriawan Alfrianiko Anggriawan Alfrianiko Anggriawan, Alfrianiko Amelia Kurniawati Ananda Anggie Nur Aini Ananda Fiqri Firdaus Ananda Risya Triani Angelia Lionardi Angelia Lionardi Anis Farihan Mat Raffei Anwar Sadat Anwar x Anwar Sadat Aria Fajar Ramdhany Ariq Yumna Mubarok Arvel Kennard Yeremia Avon Budiono Avon Budiono Avon Budiyono Azie, Febryan Elfanuary Bambang Tejo Kusumo BASUKI RAHMAD Basuki Rahmat Berka Irfansyah Berlian Maulidya Izzati Birahmatika, Raafi Asta Budi Praptono Budiono, Avon Caudinata, Owen Choon Sen Seah Daffa, Raihan Deya Ika Wardani Dicky Dwi Kurniawan Putra Dicky Hidayat Dida Diah Damayanti Fadhila, Muhammad Hilman Fajrin, Salsa Fauziyyah Faqih Hamami Faris Aufar Putra Farras Naim Fatin, Kanza Jilan Fatur Rachman Rasyid Fauzi, Rokhman Febryan Elfanuary Azie Fiega Dwi Novwari Fikri, Daffa Ilham Firdayakusmawarni Firdayakusmawarni Fitri Febriana Purba Fitri Febriana Purba, Fitri Febriana Fransiskus Tatas Dwi Atmaji Hamim Maafifa Nugraha Harizillah, M Ahyar Haryasena Panduwiyasa Haseeb Ali Himatul Zulfa Hind Raad Ebraheem Ibnu Caesar Ibnu Caesar, Ibnu Ibnu Yazid Ikhwana Ibrahim Hanif Alkhalil Ihfan Aditya Ghafur Intan Dwi Ariesta Putri Irfan Dwi Rahadianto Ismayana, I Nyoman Gede Iwan Tri Riyadi Yanto Iwan Tri Riyadi Yanto Judi Alhilman K. S. H., Umar Yunan Kashif Hussain Krisna Aji Wicaksono Kurniawan , MT. Kurniawan Kurniawan Kurniawan Kurniawan, M. Teguh Kurniawan, MT Kurniawan, MT. Lau Tian Rui Ling, Teng Mee Lingga Priyadi M Teguh Kurniawan M. Rafi Mario Mario Mochamad Hafiz Kurniawan Mochamad Teguh Kurniawan Mohamad Rizky Utomo Mohamad Tohir Mohammad Aljanabi Mohd Arfian Ismail Mohd Arfian Ismail Mohd Farhan Md Fudzee Mohd Najib Mohd Salleh Mohd Saberi Mohamad Muhammad Amanulloh Mz Muhammad Fadhil Muhammad Faheem Mushtaq Muhammad Fathinuddin Muhammad Fauzan Nasrullah Muhammad Hasbi Abid Ersalan Muhammad Ilham Zakky Mubarrak Muhammad Iqbal Muhammad Reyza Yana Putra Mustafa Mat Deris Nasrullah, Muhammad Fauzan Naufan, Zidni Ilman Nazim Razali Nenden Eva Nenden Eva Meilani Herlina Ni Kadek Dewi Pradnyawati Nicolaus Advendea Prakoso Indaryono Nina Nursetia Ningrum Noor Azah Samsudin Nor Afifah Shafin Nor Hazana Abdullah Norhalina Senan Novi Andriani, Novi Nur Ismianah Nur Syaza Izzati Mohd Rafei Oskar Halomoan Manalu Panji Permana Syahid Perkasa, Bimasetya Putri , Nabillah Verizky R. Wahjoe Witjaksono R. Yunendah Nur Fu’adah Rachmadita Andeswari Raharjo Putra Kurniadi Rahayu, Fresa Febrianti Rahma Karina Rahman, Ilham Auliya Rahmat Mulyana Rahmiati Aulia Rajif Rizal Fahlevi Ramadhan , Farhan Razali, Nazim Rd. Panji Erdinanda Pandu Jiwatama Regi Alvino Revi Fahreza Al Hazmi Reza Satya Rahmawan Rian Bimo Ankhal Ridha Hanafi Riksa Belasunda Rizki Yantami Arumsari Rodziah Atan Rohayanti Hassan Ronal Hadi Rui, Lau Tian Safitra, Muhammad Fakhrul Sahrial Hasan Wicaksana Samuel Putra Hari Satryo Dwi Sutrisno Sayyid Taufiq Abdulhafizh Selvi Marcellia Sely Novita Sari Seno Adi Putra Septian Sony Hermawan Septian Sony Hermawan Septiya Mutiara Septo, Umar Yunan Kurnia Shahreen Kasim Shahreen Kasim, Shahreen Shams N. Abd-Alwahab Shinta Meiliana Herdiani Singgih Krismarwantoni Sadino Siti Hajar Komariah Subhan Ari Raka Pradana Sulistijono Sulistijono Sutoyo, Edi Sutrisno Sutrisno Sutrisno Sutrisno Syarah Tazkiatun Nupus Syifa Sofiaturrohmah Syihan Qaes Yamani Syinta Kesuma Aisyah Tarjono, Muhamad Felix Nugraha Tesi Irwani Tesi Irwani, Tesi Triastuty Pardede Triastuty Pardede Triastuty Pardede, Triastuty Tutut Herawan Ugi Chandra Wiguna Umar Y.K.S. Hediyanto Umar Y.K.S. Hediyanto, Umar Y.K.S. Umar Yunan Umar Yunan K. S. H. Umar Yunan K.s. Hediyanto Umar Yunan KSP Yunan KSP Umar Yunan Kurnia Septo Hediyanto Vandha Pradwiyasma Widartha Vegi Fransiska Veronika Sari Asih Warih Puspitasari Wawan Tripiawan Yasser Sutojoyo Kusumo Yoga Yuniadi Yossy Meidy Wijaya Yossy Meidy Wijaya Yuanika Indanea Zainuri Saringat Zalino, Rama Rafitra Zalmiyah Zakaria Zehan Afizah Afif