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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 5 Documents
 1 
Search results for , issue "Vol 1 No 3 (2022): June 2022" : 5 Documents clear
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)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bulletinds.v1i3.2131

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)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bulletinds.v1i3.2147

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)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bulletinds.v1i3.2148

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)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bulletinds.v1i3.2149

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)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bulletinds.v1i3.2150

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

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