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All Journal Pendas : Jurnah Ilmiah Pendidikan Dasar Jurnal Teknik Informatika UNIKA Santo Thomas KOMIK (Konferensi Nasional Teknologi Informasi dan Komputer) JURIKOM (Jurnal Riset Komputer) KAKIFIKOM : Kumpulan Artikel Karya Ilmiah Fakultas Ilmu Komputer Journal of Computer System and Informatics (JoSYC) INFOKUM JUKI : Jurnal Komputer dan Informatika MEANS (Media Informasi Analisa dan Sistem) Jurasik (Jurnal Riset Sistem Informasi dan Teknik Informatika) Jurnal Teknologi Sistem Informasi dan Sistem Komputer TGD Journal of Social Responsibility Projects by Higher Education Forum Jurnal Abdimas Bina Bangsa Instal : Jurnal Komputer Bulletin of Information Technology (BIT) Jurnal Teknik Informatika Unika Santo Thomas (JTIUST) Bulletin of Data Science Ulead : Jurnal E-pengabdian Blend Sains Jurnal Teknik JIKTEKS : Jurnal Ilmu Komputer dan Teknologi Informasi
Hery Sunandar
Universitas Budi Darma, Medan
Aerospace Engineering Agriculture, Biological Sciences & Forestry Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Education Electrical & Electronics Engineering Energy Engineering Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Materials Science & Nanotechnology Mathematics Mechanical Engineering Social Sciences Other

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Journal : Bulletin of Data Science

 1 
Diagnosis Dan Prediksi Penyakit Ginjal Kronis Dengan Menggunakan Pendekatan Stacked-Generalization Madani, Aji Thofiq; Sunandar, Hery; Hutabara, Sumiaty Adelina
Bulletin of Data Science Vol 2 No 1 (2022): October 2022
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bulletinds.v2i1.2321

Abstract

Kidneys are important organs that function to maintain the composition of the blood by preventing the buildup of waste and controlling fluid balance in the body. Chronic kidney disease (CKD) is a global public health problem with an increasing incidence of kidney failure, poor prognosis and high treatment costs. The prevalence of CKD along with the increasing number of elderly people who have symptoms of diabetes and hypertension, about 1 in 10 of the world's population has chronic kidney disease at a certain stage. The results of a systematic review and meta-analysis conducted by Hill et al, 2016, found that the global prevalence of CKD was 13.4%. According to the results of the 2010 Global Burden of Disease, chronic kidney disease caused death ranked 27th in the world in 1990 and increased to 18th in 2010. Meanwhile, in Indonesia, it is the second most serious treatment, ranking the second largest health insurance provider after heart disease. . Based on data from the World Health Organization (WHO) shows the number of patients with acute and chronic kidney failure reaches 50%, while only 25% are known and received treatment and 12.5% ​​are well treated. Stacked generalization is the stacking of several algorithms to determine which algorithm is more effective, because the author uses a decision tree algorithm. This algorithm is obtained from classifying three algorithms, namely decision tree, multilayer perceptron, stochastic gradient descent using weka application mining. From the classification algorithm, the decision tree algorithm is more effective than other algorithms, Decision tree is a very popular and practical approach in machine learning to solve classification problems. Data mining is a solution that is able to find hidden information content in the form of patterns and rules from large data sets so that they are easy to understand [3]. The results of the proposed research are in the form of a prediction model for kidney disease
Sistem Pendukung Keputusan Pemilihan Calon Karyawan Baru Menggunakan Metode Weight Aggregated Sum Product Assesment (WASPAS) Wibisono, Yogi; Sunandar, Hery; Hutabarat, Sumiaty Adelina
Bulletin of Data Science Vol 2 No 1 (2022): October 2022
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bulletinds.v2i1.2322

Abstract

Astra Credit Companies Medan is often abbreviated as ACC, which means that it is the largest car financing company in Indonesia, one of which is in the city of Medan, which provides financing services for the purchase of new and used cars. Problems that often occur at PT. Astra Credit Companies at the time of selecting new employees are often influenced by subjective factors where the company at the time of selecting new employees based on personal relationships only or in other words the selection of new employees is currently still random. so the results are not satisfactory. Therefore, to maximize the quality of the company will make data on the assessment criteria as a consideration in the selection of new employees. The criteria data made are Education, Psychological Test, Age, and Work Experience and Height. In this study, the author uses the Weight Aggregated Sum Product Assessment (WASPAS) method for employee selection. The WASPAS method is considered in accordance with the selection of new employees because the WASPAS method performs a ranking process based on different attributes and weights, so that the results are more optimal. determine the acceptance of new employees. Based on calculations using the WASPAS method on the selection of new employees at PT. Astra Credit decided only three people passed. selected according to the company's requirements, namely Muhammad Rasyid with a value of 0.6567, Aisya Putri with a value of 0.6513, and Elsya Putri with a value of 0.6275. The conclusion is that the three alternatives are set to be accepted as new employees at PT. Astra Credit Companies in accordance with the existing criteria.
Co-Authors Ahmad Rifai Azlan Damanik, Eka Christian Denni M Rajagukguk Erdina Daniati Simanjuntak Erna Erna Erna Erna, Erna Fazarul Sidik Fitri Afriani Lubis Ginting, Sakaria Efrata Gokma Lumbantoruan Guidio Leonarde Ginting Hatuaon, Anggiat Marhite Hutabara, Sumiaty Adelina Hutabarat, Sumiati Adelina Hutabarat, Sumiaty Adelina Ikwan Lubis Imam Saputra Kristian Siregar Kurniawan, Dodi Lemcia Hutajulu Lince Tomoria Sianturi Madani, Aji Thofiq Murdani Murdani, Murdani Nasution, Zuhria Nelly Astuti Hasibuan Pristiwanto Pristiwanto Pristiwanto, Pristiwanto Putri Ramadani Raymond David Simaremare Rian Syahputra Rifai, Ahmad Riswan Limbong Rivalri Kristianto Hondro Saidi Ramadan Siregar Saidi Ramadan Siregar Sembiring, Abdul Sani Senanti Alas Sihombing, Monalisa Dosma Sinaga, Tuty Handa Suginam Sumiati Adelina Hutabarat Tiwi Widiastuti Ulfa, Kurnia Wibisono, Yogi Yasir Hasan Yasir Hasan Yunita, Shela Dian Yusman Zalukhu Zalukhu, Yusman Zekson Arizona Matondang