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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 57 Documents
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Penerapan Algoritma Rought Set Untuk Memprediksi Jumlah Permintaan Produk Utari, Suci
Bulletin of Data Science Vol 1 No 2 (2022): February 2022
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

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Abstract

Demand is a number of goods purchased or requested at a certain price and time. Demand is related to consumer desires for goods and services to be fulfilled. And trends Consumer demand for goods and services is unlimited. In everyday terms, demand is defined in absolute terms, namely the amount of goods needed. This way of thinking is based on the idea that humans have needs. For this need, the individual has a demand for goods, the more residents of a country, the greater the public's demand for goods. Rapid Miner is open source software. Rapid Miner is a solution for analyzing data mining, text mining and clustering analysis. Rapid Miner uses a variety of descriptive and predictive techniques to provide users with insights so they can make the best decisions.
Penerapan Data Mining pada Program Pembangunan Sarana dan Prasarana Desa Menggunakan Algoritma ID3 Luvi, Nurindah
Bulletin of Data Science Vol 1 No 2 (2022): February 2022
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

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Abstract

The implementation of village development is one of the agendas that the village government continues to carry out. These development programs are structured to meet the needs of the community and village government institutions. The implementation of development begins with planning and planning through a deliberation forum involving the village government and community institutions. The development program must of course be adapted to the aspirations of the community, needs, and applicable regulations. The purpose of this study is the application of data mining in the village facilities and infrastructure development program with the ID3 algorithm method carried out by the author including field studies, literature studies and interviews. From the analysis and observations made, it can be seen that the application of data mining in village facilities and infrastructure development programs with the ID3 algorithm method is an effective alternative to improve services to work units, so that it is expected to be able to produce information quickly, precisely and accurately with does not detract from the value of the information itself.
Penerapan Datamining Klasifikasi Pada Faktor Pemilihan Cafe Bagi Anak Millineal Tanjung, Fatimah Dwi Puspa; Windarto, Agus Perdana; Irawan, Eka
Bulletin of Data Science Vol 1 No 3 (2022): June 2022
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

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Abstract

The purpose of this study is to apply the cafe selection factor for millennial children at the Sutomo Square cafe Pematangsiantar City by using the C4.5 Algorithm. Sources of data in the study used were observations, literature studies and distributing questionnaires to millennial children at the Sutomo Square cafe, Pematangsiantar City. The results of this study are expected to determine the factors in the selection of cafes for millennial children so that cafe owners can improve their creativity and cafe quality
Implementasi Algoritma Left Corner Parsing Dalam Pencarian Surat Pada Arsip Surat Masuk dan Surat Keluar Pratiwi, Indah
Bulletin of Data Science Vol 1 No 3 (2022): June 2022
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

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Abstract

Archives are notes written, printed or typed in the form of letters, numbers or pictures, which have certain meanings and purposes as communication and information materials recorded on form cards, film paper, photocopy paper and others. Letters are one of the important tools in an organization because a lot of important information is contained in it, so proper management is needed so that there are no errors such as scattered or damaged letters that can cause losses to the agency concerned. It takes a long time to find a letter, especially in large numbers. For this reason, a complete mail administration system is needed with a more structured mail search process in order to assist the administration in managing the more efficient archiving of incoming and outgoing mail and maintaining physical mail can be maintained. And to facilitate the search for letters in the archive of incoming and outgoing mail, a search application for the mail archive is designed using the Left Corner Parsing algorithm. The Left Corner Parsing Algorithm is one of the algorithms that can be used to search by matching keywords with text. From the experiments carried out, the Left Corner Parsing algorithm can recognize grammatical patterns and recognize meaning very well.
Penerapan Data Mining Analisa Data Penjualan Obat Menggunakan Metode Random Forest Reka, Cut
Bulletin of Data Science Vol 1 No 3 (2022): June 2022
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

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Abstract

Data Mining is a method used to find and explore certain hidden data from big data. For example, data mining can be used to find information on the combination of items in a sale. By using data mining, companies will be able to analyze precisely, quickly and accurately compared to analyzing manually. The pharmacy is one of the companies that can take advantage of this data mining method, because in the pharmacy sales transactions take place every day so that the longer the sales data stored is very large. Application of Data Mining sales data analysis Using the Random Forest Method in this method the data and attributes are taken at random so that it is possible to produce a decision tree model, the benefits of which are to facilitate the analysis of large data and help provide information on processed sales data.
Implementasi Data Mining Untuk Mendukung Manajemen Perkerasan Jalan Di Kota Medan dengan Metode Intertasional Roughness Index Siagian, Pardamean
Bulletin of Data Science Vol 1 No 3 (2022): June 2022
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

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Abstract

The use of road surface service level indicators with the International Roughness Index (IRI) has been widely used in various countries including Indonesia. Even the Pavement Management System in Indonesia was developed using IRI data. However, the breadth of the road network and the limitations of measuring instruments to assess road surface flatness have caused the recording of road service levels to be incomplete. However, the road network performance data that has been done manually has been widely used. The results of this complete data recording have been in the form of a database which is expected to be used to develop the IRI model through a data mining approach. The IRI model with data mining developed in this study uses an Artificial Neural Network and Support Vector Machines approach. The results of the development of this model can be used to utilize existing data to support the management of the road network with the Pavement Management System
Implementasi Metode Fuzzy Terhadap Persediaan Pupuk Urea Menggunakan Fuzzy Mamdani Sitinjak, Yuli Artha Andriani
Bulletin of Data Science Vol 1 No 3 (2022): June 2022
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

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Abstract

The fertilizer supply system used at the Majalengka Agriculture Service office is still carried out using Microsoft Excel so that the process is too slow and also less effective to be applied at this time. Due to the problems faced by the Majalengka Agricultural Service office in the supply of fertilizer, the author wants to design a data processing system using a programming language, namely the Fuzzy method, as the report media in designing a fertilizer inventory information system at the Majalengka Agriculture office. In designing a fertilizer inventory information system, there are several reports generated from the program that have been designed, such as the fertilizer unit report and the fertilizer stock report at the Majalengka Agriculture office. Therefore, the author hopes that the difficulties encountered can be resolved appropriately and by using the fuzzy method
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)

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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)

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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)

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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

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