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Brahmana : Jurnal Penerapan Kecerdasan Buatan
Published by Sekolah Tinggi Ilmu Komputer Tunas Bangsa
ISSN : -     EISSN : 27159906     DOI : 10.30645
Core Subject : Science, Education, Engineering,
Computer Science & IT Decision Sciences, Operations Research & Management Education Engineering
BRAHMANA: Jurnal Penerapan Kecerdasan Buatan adalah sebuah jurnal peer-review secara online yang diterbitkan bertujuan sebagai sebuah forum penerbitan tingkat nasional di Indonesia bagi para peneliti, profesional, Mahasiswa dan praktisi dari berbagai bidang Ilmu Kecerdasan Buatan. BRAHMANA: Jurnal Penerapan Kecerdasan Buatan menerbitkan hasil karya asli dari penelitian terunggul dan termaju pada semua topik yang berkaitan dengan Kecerdasan Buatan. BRAHMANA: Jurnal Penerapan Kecerdasan Buatan terbit 2 (dua) nomor dalam setahun. Artikel yang telah dinyatakan diterima akan diterbitkan dalam nomor In-Press sebelum nomor regular terbit. BRAHMANA: Jurnal Penerapan Kecerdasan Buatan telah terindeks Google Scholar dan terus akan diupdate mengikuti perkembangan.
Arjuna Subject : Teknik (semua kategori) - Teknik (Lain-Lain)
Articles 82 Documents
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Fuzzy Inferensi System dengan Tsukamoto pada Penilaian Kepuasan Pelangan di Cafe Pasco Pematangsiantar Dolli Sari Sinaga; Feby Widya Sari
Brahmana : Jurnal Penerapan Kecerdasan Buatan Vol 1, No 1 (2019): Edisi Desember
Publisher : LPPM STIKOM Tunas Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (176.199 KB) | DOI: 10.30645/brahmana.v1i1.1

Abstract

The development of cafe business is increasingly rapid, demanding that the cafe always create innovations and new concepts that are able to attract more consumers. The main key in attracting consumers in addition to innovation and new concepts is the ability of cafes to provide satisfaction to consumers. The purpose of this research is to find out whether customers are satisfied with the service at Pasco Cafe. The method used in this study is the Fuzzy Tsukamoto method. Data was collected by distributing questionnaires / questionnaires to 150 customers at Cafe Pasco. The variables used to assess satisfaction given by the Cafe to consumers are infrastructure (X), price (Z) and service (Z). Where infrastructure has criteria (complete and incomplete [1; 9]), prices have criteria (cheap, normal and expensive [1; 6; 9]) and services have criteria (satisfied and dissatisfied [2; 9]. example of infrastructure cases has a value of 6 and the price has a value of 5. The results of the assessment of customer satisfaction with service in the Cafe Pasco category satisfied with a value of 5.2462
Penerapan Sistem Fuzzy Tsukamoto Dalam Memperkirakan Hasil Produksi Padi Lena Sapura; Agiffuddinsyah Sinaga; Firdaus Siahaan
Brahmana : Jurnal Penerapan Kecerdasan Buatan Vol 1, No 2 (2020): Edisi Juni
Publisher : LPPM STIKOM Tunas Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (456.445 KB) | DOI: 10.30645/brahmana.v1i2.29

Abstract

Plantations are all activities that commercialize certain plants on the soil and / or other growing media in suitable ecosystems; process and market the goods and services produced by these plants, with the help of science and technology, capital and management to create prosperity for plantation businesses and the community. In ordinary or more dominant plantations, rice fields with sufficient yields and even processing with a fairly short period of time, especially in rice. Rice is the main or basic need and source of calories for humans. Factors that affect rice production include land, seeds, weather, and fertilizer, these factors clearly affect the quality and amount of production produced by farmers. The fuzzy logic method applies Tsukamto's fuzzy inference system in estimating rice production with the variables that influence it. The research objective is to estimate how much rice production with the Tsukamoto method of fuzzy inference using AND operations based on land variables, rice seed material, fertilizer, and the amount of production.
Penentuan Dosen Terbaik pada Proses Belajar Mengajar di STIKOM Tunas Bangsa Pematangsiantar dengan Metode Moora Deviana Sitompul; S Sumarno; Bahrudi Efendi Damanik
Brahmana : Jurnal Penerapan Kecerdasan Buatan Vol 1, No 1 (2019): Edisi Desember
Publisher : LPPM STIKOM Tunas Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (939.151 KB) | DOI: 10.30645/brahmana.v1i1.17

Abstract

Lecturers are one of the essential components in a system of organizing education in higher education. The main task of lecturers is as educators, lecturers carry out their duties and responsibilities to educate students to become individuals who have good abilities and potential. Given the importance of the role of lecturers, their existence in educational institutions must be able to motivate themselves and develop themselves, useful for maximizing work. In order to know the performance of the lecturers, it is necessary to evaluate the best lecturers at STIKOM Tunas Bangsa. Decision Support System (SPK) is a system that can be used by decision makers to decide on things from data and structured models. MOORA Method (Multi-Objective Optimization on the basis of Ratio Analysis) is a multi-objective system that optimizes two or more conflicting attributes simultaneously. By applying the MOORA method, the method can determine the best lecturer effectively and efficiently in STIKOM Tunas Bangsa Pematangsiantar.
Penerapan Jaringan Saraf Tiruan Dalam Memprediksi Gizi Balita Pada Puskesmas Siantar Utara Kota Pematangsiantar Daniel Arbanus Simbolon; Dedy Hartama; Fitri Anggraini
Brahmana : Jurnal Penerapan Kecerdasan Buatan Vol 1, No 1 (2019): Edisi Desember
Publisher : LPPM STIKOM Tunas Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (285.981 KB) | DOI: 10.30645/brahmana.v1i1.7

Abstract

The North Siantar Health Center's Puskesmas is a health sector engaged in public health sciences, at the Office of the North Siantar Sub-District of Pematangsiantar City conducted research with the Nutritional research variables under five months of age. attacked by various diseases ranging from external diseases and internal diseases. Artificial Neural Network is a method of grouping and separating data whose working principle is the same as Human Neural Networks, this Science processes systems and structures so that they become information.
Clustering Pada Pelanggan Perusahaan Air Bersih Dengan Algoritma K-Means Arif Ramadhan Siregar; Sundari Retno Andani; Widodo Saputra
Brahmana : Jurnal Penerapan Kecerdasan Buatan Vol 1, No 1 (2019): Edisi Desember
Publisher : LPPM STIKOM Tunas Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (375.348 KB) | DOI: 10.30645/brahmana.v1i1.2

Abstract

progress, and increasing living standards have caused the need for clean Clean water services are a very important component of public services. Water is a basic need that cannot be separated from human life. The supply of clean water is of particular concern to every country in the world, including in Indonesia. Population growth, development water to continue to increase. Technological improvements and rapid population growth are now encouraging mineral water companies to continue to innovate and expand their market network in order to continue to survive and compete with companies - companies. A product that can be desired by consumers must be able to provide satisfaction to consumers who consume these products. In realizing the goals to achieve customer satisfaction, companies must be able to learn in advance about products that consumers are interested in, habits carried out by consumers, why consumers are interested in consuming these items, and how many products are needed by consumers. The author wants clean water customers which will be clustered using the K-means algorithm to do which provinces will get customers of clean water companies.
Implementasi Fuzzy Tsukamoto Dalam Menentukan Upah Gaji Karyawan Perbulan Siti Maysaroh Saragih; Ayu Lestari; Mahadir Soleh Hutasuhut
Brahmana : Jurnal Penerapan Kecerdasan Buatan Vol 1, No 2 (2020): Edisi Juni
Publisher : LPPM STIKOM Tunas Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (527.957 KB) | DOI: 10.30645/brahmana.v1i2.25

Abstract

In a company, salary is a salary for employees who have been working for a month. However, in order to provide fair salary to all employees, the company must determine the criteria for providing salary. By using fuzzy logic, wages can be determined by going through the following stages: Fuzzification, Formation of the knowledge base, Fuzzy Inference, and Defuzzification. One of the fuzzy logic methods that can be used is the Tsukamoto method, where this method has an output in the form of firm values. To determine the salary, the data is collected from the Central Statistics Agency website in accordance with the criteria to be examined. With this research, employers can use the calculations from this research to determine salary salaries for their employees quickly, well, and precisely. So that the problem of determining the wages of their employees' salaries can be resolved properly.
Sistem Pendukung Keputusan Pemilihan Siswa Peserta Olimpiade Pada Jenjang Sekolah Dasar Di Kecamatan Gunung Maligas Dengan Menggunakan AHP Erozeki Sialagan; Rahmat Widia Sembiring; S Suhada
Brahmana : Jurnal Penerapan Kecerdasan Buatan Vol 1, No 1 (2019): Edisi Desember
Publisher : LPPM STIKOM Tunas Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (292.296 KB) | DOI: 10.30645/brahmana.v1i1.8

Abstract

This study aims to assist relevant parties in making selections in the selection of olympic students at the Elementary School Level in Gunung Maligas District. The method used is the AHP method. Source of research data obtained by observing and interviewing the school. The research data samples were four elementary schools in Gunung Maligas sub-district, among others: 1) SDN 096780 Kampung tape, 2) SDN 097806 Kabupaten Simalungun, 3) SDN 091263 Karang Sari and 4) SDN 098145 Karang Sari. The assessment criteria used as a basis for assessments include: Olympic Experience, Intelligence, Academic Ability (Science Report Score or Mathematics) and Olympic Capabilities. The results of the study showed that alternative 4 with a value of 0.356 (first rank) was recommended by Olympic student participants.
Klasifikasi Masyarakat Wajib Pajak Di Kabupaten Simalungun Menggunakan Metode Naive Bayes Idris Hanafia Lubis; P Poningsih; Ilham Sahputra Saragih
Brahmana : Jurnal Penerapan Kecerdasan Buatan Vol 1, No 1 (2019): Edisi Desember
Publisher : LPPM STIKOM Tunas Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (406.072 KB) | DOI: 10.30645/brahmana.v1i1.3

Abstract

Regional tax is a tax set by the regional government with regional regulations, the collection of which is carried out by the regional government and the subsequent results are used to finance the expenditure of regional governments in implementing governance and development in the region. Poor knowledge and understanding of taxes received by the community in paying taxes. The quality of good tax knowledge will greatly affect the smooth running of taxpayers in fulfilling their tax obligations. In this study, the method used in measuring the free or not of taxpayers in Simalungun District uses the method of using Naive Bayes. The parameters used are Modernization of Tax Administration System, Taxation Information Session, Taxation of Awareness, Tax Sanctions, Taxpayer Compliance. The data used in this study provides questionnaires to people who have a type of business in Simalungun District specifically in Java. It is expected that the results of this study can help the government specifically the Regional Revenue Service to understand the understanding and responsibility of the community in fulfilling their tax obligations.
Penerapan Fuzzy Sugeno untuk Menentukan Jumlah Pembelian Keripik Singkong Jesica Nababan; Alvianti Nurjanna; Melani Tri Rahayu
Brahmana : Jurnal Penerapan Kecerdasan Buatan Vol 1, No 2 (2020): Edisi Juni
Publisher : LPPM STIKOM Tunas Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (454.472 KB) | DOI: 10.30645/brahmana.v1i2.26

Abstract

The existence of small industries shows their existence in improving the economy. Small industries have the ability to utilize raw materials and produce goods and services. Evidence of the existence of a small industry that is by opening a new employment so that it can reduce unemployment. Likewise with the small industry of cassava chips. Along with the increasingly globalized era of modernization in which small industries began to develop, both through increased technology and increased productivity so that the competition is increasingly tightened among small business owners. Likewise with the small industry of cassava chips experiencing intense competition so it is necessary to have business strategies in business development. One of the reasons why small industries fail to compete is the lack of marketing strategies. The purpose of this study was to determine the number of purchases of Harahap cassava chips with the Sugeno method of fuzzy inference based on inventory data and sales data. This study uses three variables, namely inventory, sales and purchases by having two inputs, namely inventory and sales and one output, namely purchasing. The results of the application of the Sugeno fuzzy method can help the company to determine the number of purchases of cassava chips with a success rate of 88.88%.
Penerapan Jaringan Syaraf Tiruan dalam Memprediksi Tingkat Kriminal di Kabupaten Simalungun Menggunakan Algoritma Backpropagation Muhammad Julham; S Sumarno; Fitri Anggraini; Anjar Wanto; S Solikhun
Brahmana : Jurnal Penerapan Kecerdasan Buatan Vol 1, No 1 (2019): Edisi Desember
Publisher : LPPM STIKOM Tunas Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (531.553 KB) | DOI: 10.30645/brahmana.v1i1.9

Abstract

The number of criminal rates that occur in the area of Simalungun Regency each year experiences an increase and decrease in crime cases each year. For example in the types of gambling crimes, in 2012 there were 89 cases, in 2013 there were 102 cases, in 2014 there were 92 cases, in 2015 there were 102 cases, in 2016 there were 94 cases, and in 2017 there were 86 cases. Then this problem is used as a basis in this study, which aims to provide information in the form of prediction data to the police in an effort to anticipate the rise in cases of types of crime in the following year. Efforts are being made to predict the level of crime in Simalungun Regency by applying the Bacpropagation algorithm ANN method. This research uses MATLAB R2011b and uses 5 architectural models to test the data that will be used for etimation / prediction, namely models 4-20-1, 4-30-1, 4-40-1, 4-50-1, 4- 70-1. Then the best architectural model results obtained are architectural models 4-20-1 with an accuracy of 93%, with the number of epochs 4575 in 51 seconds and MSE of 0,0009995011. This model will be used to predict Criminal Levels in Simalungun District from 2018 to 2022 with an accuracy of 93%.

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