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Bulletin of Artificial Intelligence
Published by CV. Graha Mitra Edukasi
ISSN : -     EISSN : 29623944     DOI : -
Core Subject : Science, Engineering,
Computer Science & IT Control & Systems Engineering
The field of study of the Bulletin of Artificial Intelligence journal, in the field of Artificial Intelligence, includes: 1) Decision Support Systems, 2) Data Mining, 3) Expert Systems, 4) Big Data, 5) Text Mining, and 6) Natural Language Processing. But does not rule out the possibility of publishing manuscripts in the field of Computer Science.
Arjuna Subject : Ilmu Komputer (semua kategori) - Kecerdasan Buatan
Articles 5 Documents
 1 
Search results for , issue "Vol 2 No 2 (2023): October 2023" : 5 Documents clear
Sistem Pendukung Keputusan Pemilihan Pengrajin Ulos Ragi Hotang Terbaik Di Desa Meat Menerapkan Metode Maut Irvan Siahaan
Bulletin of Artificial Intelligence Vol 2 No 2 (2023): October 2023
Publisher : Graha Mitra Edukasi

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Abstract

Meat Village is a center for making hotang yeast ulos which is carried out by women. The Meat Village Office selects the best yeast hotang ulos craftsmen every year to improve the community's economy and provide enthusiasm for hotang yeast ulos craftsmen who aim to improve the quality of hotang yeast ulos which has criteria for neatness, motifs, and color combinations. The problem faced by the Meat Village office is still using the manual method, especially in determining the best hotang yeast ulos craftsmen in Meat Village. On this occasion the author proposes the selection of hotang yeast ulos craftsmen using a decision support system using the MAUT Method, programming in Microsoft Visual Studio 2010 with Visual Basic language and MySQL as a database. From the results of my research I want to help the Meat Village office in determining the best hotang yeast ulos craftsmen in Meat Village by using a Decision Support System using the multi attribute utility theory (MAUT) method. Those who got the best score in selecting hotang yeast ulos craftsmen were A8 on behalf of Ester Simanjuntak with a score of 0.427 as the first rank, A9 with the name Oni Siahaan the value of 0.363 in the second rank and A4 with the name Herbeslina Maharaja the value of 0.344 in the third rank.
Implementasi Algoritma Yamamoto’s Recursive Code Dalam Mengkompresi File Gambar Lulu Nurhidayanti Nasution
Bulletin of Artificial Intelligence Vol 2 No 2 (2023): October 2023
Publisher : Graha Mitra Edukasi

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Abstract

The size of the data stored whether it is stored on a computer or in cloud storage is one of the problems in the computer world. One of the best solutions to overcome this problem is to use compression techniques. In this study, the author uses Yamamoto's Recursive Code Algorithm to compress image files. Image files with bitmap (bmp) extension have a smaller size than those in jpeg format, this causes problems if the recipient's download speed is slow or the internet connection is unstable, information, information cannot be processed immediately because the data transfer time is too long. For that we need a technique to change the size of the data to be smaller . This technique is known as data compression. Data compression is a process of converting a set of data into a form of code to save the need for data storage. On this basis, the application of Yamamoto's Recursive Code Algorithm in Compressing Image Files is made in order to help computer users compress image files that are initially large into their smallest size.
Multiple Attribute Decision Making Menggunakan Metode TOPSIS Dalam Penentuan Staff Marketing Terbaik Setiawansyah Setiawansyah; Very Hendra Saputra; Sanriomi Sintaro; Ahmad Ari Aldino
Bulletin of Artificial Intelligence Vol 2 No 2 (2023): October 2023
Publisher : Graha Mitra Edukasi

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Abstract

Multiple Attribute Decision Making (MADM) is an approach used in decision making to select the best alternative from a number of given criteria or attributes. This research aims to apply the TOPSIS method in selecting the best marketing staff so that it can become a reference and benchmark for companies in selecting the best marketing staff using a decision support system model. The results of the ranking of the selection of the best marketing staff who got rank 1 with a value of 0.644, namely Ahmad, rank 2 with a value of 0.539, namely Hermawan, rank 3 with a value of 0.529, namely Santoso, rank 4 with a value of 0.443, namely Jayanti, rank 5 with a value of 0.399, namely Heru.
Sistem Pakar Identifikasi Penyakit Tanam Ubi Kayu Dengan Metode Certainty Factor Jambak, Rinaldi
Bulletin of Artificial Intelligence Vol 2 No 2 (2023): October 2023
Publisher : Graha Mitra Edukasi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62866/buai.v2i2.102

Abstract

Ubi Kayu merupakan salah satu sayuran yang banyak ditemukan di Indonesia. Ubi Kayu adalah salah satu tanaman yang rentan terkena penyakit. Hampir semua Ubi Kayu yang ada saat ini belum ada yang memiliki daya tahan kuat bila sudah terserang. Untuk menanggulangi penyakit tanaman Ubi Kayu, maka dibangunlah aplikasi sistem pakar dengan menggunakan metode Certainty Factor. Sistem pakar merupakan salah satu pemecahan yang potensial untuk mengatasi masalah diagnosis penyakit pada tanaman ubi kayu. Dengan system pakar dapat mempermudah kerja atau bahkan mengganti tenaga ahli, menggabungkan ilmu dan pengalaman dari beberapa tenaga ahli, dan menyediakan keahlian yang diperlukan suatu proyek yang tidak memiliki tenaga ahli dengan media konsultasi. Hasil uji konsultasi dengan sistem ini menunjukkan bahwa sistem mampu menentukan penyakit beserta pengobatan dan penanganan awal yang harus dilakukan, berdasarkan gejala-gejala yang sebelumnya dipilih oleh pengguna.
Penerapan Algoritma K-Means Dalam Mengelompokkan Jumlah Penerimaan Sinyal Telepon Seluler Di Sumatera Utara Sitompul, Wati Rizky Pebrianti; Solikhun, Solikhun; Saputra, Widodo; Oktaviani, Selli; windarto, agus perdana
Bulletin of Artificial Intelligence Vol 2 No 2 (2023): October 2023
Publisher : Graha Mitra Edukasi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62866/buai.v2i2.137

Abstract

The purpose of this study was to cluster the number of cell phone signal reception in North Sumatra. The source of the data used is obtained from BPS. The variable used is the number of cell phone reception signals in North Sumatra. This research uses Data Mining Technique with K-means algorithm. It is hoped that the results of this study can provide input to the North Sumatra Province in order to determine the reception of cellular telephone signals, so as to increase the growth and development of telephone signal reception in North Sumatra. And 4G/LTE data obtained that there are 4 high clusters, namely (Mandailing Natal, Simalungun, Deli Serdang, Padang Lawas), 17 medium clusters, namely (Nias, South Tapanuli, Labuan Batu, Humbang Hasundutan, West Pakpak, Samosir, Labuhan Batu, South , Labuhan Batu Utara, North Nias, West Nias, Sibolga, Tanjung Balai, Pematangsiantar, Tebing Tinggi, Binjai, Padang Sidempuan, Gunung Sitoli), and there are 2 low clusters (Central Tapanuli, North Tapanuli, Toba, Asahan, Dairi, Karo , Langkat, South Nias, Serdang Bedagai, Batu Bara, North Padang Lawas, Medan).

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