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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 1 (2023): April 2023" : 5 Documents clear
Penerapan Algoritma Rabin-Public Key Untuk Pengamanan File Audio Rusdianto Rusdianto; Natalia Silalahi; Norenta Sitohang
Bulletin of Artificial Intelligence Vol 2 No 1 (2023): April 2023
Publisher : Graha Mitra Edukasi

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Abstract

Data encoding problems such as text files, images, audio and video are used more often as messages or information. However, with advances in technology that are increasingly developing, it is increasingly possible for messages or information to be stored in the form of other files such as images, audio and video. For example, a music recording company wants to release the latest album and they want to get a big profit from selling CDs or downloading legally (paid) through the site. Before the album officially goes out to the public, they want to make sure that no one party gets a leak or listens to the audio file first. One of the technical solutions that can be used to protect the confidentiality of audio files is cryptography by applying the Rabin-Public Key algorithm. The Rabin-p algorithm is an algorithm that implements an asymmetric key. An asymmetric key is a key that uses two types of keys, namely the public key which is used to encrypt the message and the secret key which is used to decrypt the message. Rabin-p is named rabin with an additional p which symbolizes that the proposed scheme uses only one prime p as the decryption key. The results for encoding audio files are based on an asymmetric cryptographic system that uses a public key and a private key for encoding audio files (the key used for the encryption process). and decryption) into a cipher so that the security and confidentiality of messages are maintained. Audio file analysis is the stage where analysis is carried out on any files that are processed in a design system or procedure, in this case the audio files to be encrypted and decrypted in cryptographic applications are audio files in wave format (*.WAV).
PENGAMANAN FILE TEKS DENGAN ALGORITMA ENKRIPSI POHLIG-HELLMAN DAN STEGANOGRAFI EZSTEGO PADA FILE AUDIO Herwansyah Herwansyah
Bulletin of Artificial Intelligence Vol 2 No 1 (2023): April 2023
Publisher : Graha Mitra Edukasi

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Abstract

Pada kriptografi proses enkripsi dilakukan dengan cara merubah data tersebut ke dalam bentuk data yang lain yang tidak dapat dimengerti dan dipahami maknanya. Namun dengan bentuk lainnya data tersebut dapat menimbulkan kecurigaan, maka setelah data tersebut dienkripsi, perlu adanya melakukan penyembunyian data kedalam sebuah objek tanpa merubah bentuk objek tersebut dengan teknik steganografi. Proses dengan double pengamanan file teks dilakukan dengan teknik kriptografi menggunakan algoritma Pohlig-Hellman yang kemudian hasil enkripsi berupa chipertext disisipkan kembali kedalam objek audio menggunakan algoritma Ezstego. Dari hasil analisa, karakter chipertext yang telah di enkripsi menggunakan algoritma Pohlig-Hellman, dapat disisipkan dengan akurat kedalam objek audio tanpa memrubah bentuk audio tersebut menggunakan algoritma Ezstego
Sistem Pendukung Keputusan Pemberian Sanksi Pelanggaran Kedisiplinan Guru Dalam Proses Belajar Mengajar Menggunakan Metode Elemination And Choice Translation Reality Aulia Husna
Bulletin of Artificial Intelligence Vol 2 No 1 (2023): April 2023
Publisher : Graha Mitra Edukasi

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Abstract

Sanctions are actions (punishments) in order to force someone to follow the rules or to comply with the provisions of the law. The imposition of sanctions at SMKN 1 Lubuk Pakam is adjusted to the number of violations committed by the teacher by looking at the data that has been collected. Many problems occurred during the process of imposing sanctions, such as data on violations that were forgotten in the data, teachers who committed violations were not recorded because of family relationships or double data violations. This will give the impression that the sanctions are selective so that the sanctions given are not in accordance with the violations committed by the teacher. The solution that can be done to this problem is to build a decision support system to assist in sanctioning violations of teacher discipline in the on-target teaching and learning process using the method of elimination and choice translation reality. The results of this study can simplify and accelerate in determining the imposition of sanctions, so that this system can be used to assist the SMKN 1 Lubuk Pakam in making decisions to impose sanctions on teacher disciplinary violations in the teaching and learning process that are on target and are expected to overcome all weaknesses in determining the imposition of sanctions.
Sistem Pendukung Keputusan Pemilihan Karyawan Terbaik Dengan Menggunakan Metode MABAC Toni Aman Waruwu
Bulletin of Artificial Intelligence Vol 2 No 1 (2023): April 2023
Publisher : Graha Mitra Edukasi

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Abstract

1001 Mart is a minimarket which is engaged in selling basic daily needs such as rice, sugar, cooking oil, milk, baby diapers and others. The leadership of 1001 Mart always holds the best employee selection every year, the selection of the best employees is done to increase motivation or morale for employees to work even harder. The problem that occurs in this case is that it is difficult for 1001 Mart to make decisions in selecting the best employees. In this research, to solve the problems experienced by the 1001 Mart, the author designed a decision support system for selecting the best employees at 1001 Mart using the MABAC method. The design of this application uses the php programming language and the MySQL database as data storage media into the system. This decision support system will later assist 1001 Mart in determining the best employees based on predetermined criteria. The MABAC method is also expected to give accurate decision results so that no more mistakes will occur in selecting the best employees at 1001 Mart.
Jaringan Syaraf Tiruan Untuk Klasifikasi Penyakit Demam Menggunakan Algoritma Backpropagation Dwi Andini
Bulletin of Artificial Intelligence Vol 2 No 1 (2023): April 2023
Publisher : Graha Mitra Edukasi

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Abstract

Technological advances have helped solve problems in various fields, especially in the health sector, one of which is in disease classification which makes it easier to control disease management to see what type of disease the disease belongs to. The classification process using a computer can be applied using various classification methods, one of which is the Artificial Neural Network method with the Backpropagation Algorithm. An artificial neural network is an information processing system that is designed to imitate the workings of the human brain by carrying out the learning process through changes in the weight of its synapses. One of the problems that can apply the Backpropagation algorithm in the case of classification is the classification of Fever Disease (Dengue and Typhoid) because of the similarity of the symptoms of the two diseases. The application of the Backpropagation algorithm in the Classification of Fever (Dengue and Typhoid Dengue Fever) begins with the training stages on 135 training data, and the best variation of learning rate and hidden layer neurons is obtained by trial and error. The test was carried out on test data as many as 15 data, the test results were in the form of a classification of fever diseases which were compared with the actual target.

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