cover
Article Per Year (5 Year)
All
Home Page
OAI Link
Editorial Team
Contact
Reviewer
Google Scholar
Contact Name
Mesran
Contact Email
mesran.skom.mkom@gmail.com
Phone
+6282365336853
Journal Mail Official
jurnal.bulletinds@gmail.com
Editorial Address
Jalan sisingamangaraja No 338 Medan, Indonesia
Location
Kota medan,
Sumatera utara
INDONESIA
Bulletin of Data Science
Published by Forum Kerjasama Pendidikan TInggi
ISSN : -     EISSN : 28079493     DOI : -
Core Subject : Science, Engineering,
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Electrical & Electronics Engineering
Bulletin of Data Science journal publishes manuscripts within the fields of: 1. Soft Computing, 2. Experts System, 3. Decision Support System, 4. Cryptography, 5. Big Data, 6. Data Mining, 7. Artificial Inteligence, and etc
Arjuna Subject : Ilmu Komputer (semua kategori) - Ilmu Komputer (Lain-Lain)
Articles 5 Documents
 1 
Search results for , issue "Vol 2 No 1 (2022): October 2022" : 5 Documents clear
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.
Kombinasi Metode SWARA Dan MOORA Untuk Pendukung Keputusan Pemberian Insentif Karyawan Eliani, Eliani; Murdani, Murdani
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.v2i1.2323

Abstract

Giving Incentives for new employees at PT. Expravet Nasuba Medan An appreciation in the form of bonuses given to every employee with employee income outside the basic salary. The provision of these incentives is based on performance results. And also based on the criteria for providing employee incentives. The criteria include education, performance, length of service, seniority and achievement. Problems that often occur at PT. Expravet Nasuba Breeding Enterprise is the provision of employee incentives not fully, and the time given is not appropriate, and the administration department is not objective in the distribution of incentives. Based on these problems, the authors are committed to solving these problems with a decision support system made with a combination of SWARA and MOORA methods. Both of these methods are each able to create and solve problems with criteria and multi-criteria data in decision making. In providing employee incentives in the SWARA and MOORA methods, the swara method is used to obtain normal weights, and the weighting results will be calculated using the Moora method. While the moora method is used for ranking. The results of the combination of these methods with the highest value will be used as the final result in decision making. Of course, the benefits obtained from the method used is to facilitate the company's administration in providing employee incentives at PT. Expravet Nasuba Breeding Enterprise. The results obtained based on the combination of SWARA and MOORA methods that Kiki Putra Naisya is the best and highest alternative. The conclusion that can be drawn from the results of the study is that both SWARA and MOORA methods can be used to determine employee incentives at PT. Expravet Nasuba Breeding Enterprise
Kombinasi Metode ROC dan Metode MAUT dalam Pemilihan Guru pada Madrasah Ibtidaiyah II, Ramadani; Pristiwanto, Pristiwanto; Hasan, Yasir
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.v2i1.2324

Abstract

Madrasah Ibtidaiyah Nurul Hidayah, Bandar Khalipah District, is one of the formal education infrastructure under the guidance of the Minister of Religion whose learning process is based on Islam at the elementary school level. This school is in need of Indonesian language teachers. The teacher is a teacher of a science and the teacher in general is a professional educator who has the main task of educating, directing, guiding, training, assessing, and evaluating his students, so in this case the author wants to help the school in the selection of Indonesian language teachers in Madrasah schools. Ibtidaiyah Nurul Hidayah, whose recruitment is still fairly manual. In this study the author has a solution and will solve the problem by applying the Rank Order Centroid (ROC) method and the Multy Attribute Utility Theory (MAUT) method, the author will combine the two methods to determine the best alternative in the selection of Indonesian language teachers in Madrasahs. Ibtidaiyah Nurul Hidayah. The results of the algorithm on the combination of the two methods show that Alternative 5 (A5) has the highest score of 0.832 and ranks 1, thus A5 is the best alternative that will be recommended for teacher selection at Madrasah Ibtidaiyah Nurul Hidayah. The application by combining the Rank Order Centroid (ROC) method and the Multi Attribute Utility Theory (MAUT) method can determine the best alternative in terms of teacher selection.
Sistem Pendukung Keputusan Seleksi Penerimaan Karyawan Baru dengan Menerapkan Kombinasi Metode ANP-TOPSIS Butar Butar, Roi Martin; Murdani, Murdani; Utomo, Dito Putro
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.v2i1.2325

Abstract

Acceptance of new employees at PT Exprvet Nasuba Medan is one of the routine activities carried out every year, in order to find reliable candidates. The problem that occurs is that the selection is still random, not objective and impure, because it is caused by a third party in the recruitment of new employees. So that the decisions taken can trigger a tendency towards subjectivity in one of the prospective registrants which results in brokering at the selection stage. To overcome this problem, a Decision Support System (DSS) was developed that used a combination of the ANP-TOPSIS method in selecting and accepting new employees by finding the best solution based on that method. In this study, the ANP was used to assign a weight to each criterion. The weight is calculated by the TOPSIS method of ranking. Based on the results of the ranking calculations obtained using a combination of the ANP-TOPSIS method. The highest score obtained based on alternative criteria and data, showing the highest preference value is Sukur Jaya Sinaga with an average score of 0.9182 as a rank 1, Hemansyah with an average value of 0.6666 as a rank 2. And Rudi Kesuma with an average score The average is 0.6648 ranking 3. So that it can be concluded from the results of the calculations of the two combinations of the ANP-TOPSIS method, that Sukur Jaya Sinaga is ranked first and the highest value is based on the results of the weighting of the ANP method and then calculated by the Topsis method for ranking.

Page 1 of 1 | Total Record : 5

 1 

Filter by Year

2022 2022


Reset
Filter By Issues
All Issue Vol 4 No 2 (2025): February 2025 Vol 4 No 1 (2024): October 2024 Vol 3 No 3 (2024): June 2024 Vol 3 No 2 (2024): February 2024 Vol 3 No 1 (2023): October 2023 Vol 2 No 3 (2023): Juni 2023 Vol 2 No 2 (2023): February 2023 Vol 2 No 1 (2022): October 2022 Vol 1 No 3 (2022): June 2022 Vol 1 No 2 (2022): February 2022 Vol 1 No 1 (2021): October 2021 More Issue