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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 133 Documents
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The Comparison of U-net and Deeplab V3 as Semantic Segmentation Models for Food Images Irwanto, Natanael Richie; Kusuma, Gede Putra
Brahmana : Jurnal Penerapan Kecerdasan Buatan Vol 5, No 1 (2023): Edisi Desember
Publisher : LPPM STIKOM Tunas Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/brahmana.v5i1.281

Abstract

The Semantic segmentation models have been used for many things, namely image classification, image detection, and other activities, including outdoor and object segmentation. Those models can either work with having a good result with a custom dataset and give up an excellent accurate process or a bad one. This research aimed to compare two models of semantic segmentation model, namely Unet and Deepvlab, for food images. The research procedure is to create an original food image dataset, process the dataset with two models, analyze the IoU of two models, and compare the mIoU between the models.  The research results show that U-net has a higher mIoU value of 0.01 than Deeplab V3 but has less processing time and some parameters. The research results also show that the completeness of performance details and the prediction segmentation results in the Deeplab v3 segmentation model are superior to this research. This research supports previous research findingsregarding the use of U-net and Deeplab v3 in semantic segmentation models. It enriches research on using these models in food image recognition. Further research is needed to evaluate other models in semantic segmentation for food images.
Sistem Pengambilan Keputusan Rekomendasi Pemberian Kredit dengan Metode Simple Additive Weighting Putri, Weni Lestari
Brahmana : Jurnal Penerapan Kecerdasan Buatan Vol 5, No 1 (2023): Edisi Desember
Publisher : LPPM STIKOM Tunas Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/brahmana.v5i1.272

Abstract

The decision-making system produces recommendations for parties entitled to obtain loans in accordance with predetermined provisions. There are 5 criteria that are used as a reference in providing credit loans in terms of Characteristics, Capacity, Condition, Capital and Collateral. Each criterion has a different value so a Simple Additive Weighting (SAW) method is needed to produce a decision. The way the Simple Additive Weighting (SAW) method works is by entering each weight value in each criterion. The advantage of the SAW method is that it has the ability to carry out assessments more precisely because it is based on the criteria values and preference weights that have been determined and can select the best alternative from a number of existing alternatives, apart from that because there is an improvement process after determining the weight value for each attribute. The final results of the research recommended obtaining a loan in the name of Kamedia Kemala with a value of 0.8248.
Sentiment Analysis Of Public Comments On Quick Response Code Indonesian Standard (Qris) On Twitter Social Media Using The Naïve Bayes Classifier Method Fahri, Muhammad; Kurniawan, Rakhmat
Brahmana : Jurnal Penerapan Kecerdasan Buatan Vol 5, No 2 (2024): Edisi Juni
Publisher : LPPM STIKOM Tunas Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/brahmana.v5i2.398

Abstract

Nowadays, technological developments have an inevitable impact on various aspects of human life. One real example of the development of E-Wallet which is very easy to access on a smartphone. However, the large variety of e-wallets available can be confusing for users because they need to download and manage many applications on their cellphones, therefore Bank Indonesia has found a solution for faster retail transactions, namely with a QR code or known as a Quick Response Code Indonesian Standard (QRIS). The use of QRIS has become a positive trend in the business and consumer world, this is due to the benefits of more efficient non-cash transaction processing. Even though QRIS is considered easy to use and brings benefits to many parties, not everyone responds positively. Some people also have negative comments regarding the QRIS payment system. To see their various views and opinions regarding the implementation of QRIS, researchers took one of the social media platforms, namely Twitter. Therefore, a public sentiment analysis was carried out to understand how the public responded to QRIS, whether it included positive or negative sentiment? In order to achieve this goal, researchers use the Naïve Bayes Classifier method, where this method analyzes a problem with a good level of accuracy and can help in evaluating concerns that need to be corrected, in order to obtain appropriate and accurate comparison results of negative and positive sentiment in analyzing sentiment. public comments on QRIS on Twitter social media using the Naïve Bayes Classifier method
Pemilihan Laboran Terbaik Penilaian Kinerja Tenaga Kependidikan Menggunakan Metode AHP Alkodri, Ari Amir; Fitriyani, F
Brahmana : Jurnal Penerapan Kecerdasan Buatan Vol 5, No 2 (2024): Edisi Juni
Publisher : LPPM STIKOM Tunas Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/brahmana.v5i2.389

Abstract

Educational Laboratory Staff (PLP) / Laboratories are Educational Personnel who work in managing laboratories in the context of learning, research and community service activities. Laboratory assistants consist of technicians and supervisors who must have initiative, perseverance, creativity, skills and knowledge as well as knowledge mastered by the PLP/Laboratory, helping the efficiency, effectiveness and productivity of the laboratory managed by the University. In connection with its very significant role in the performance of higher education institutions, especially in this research in the ISB Atma Luhur computer laboratory. The problem is that the Head of the Computer Laboratory and reports to campus superiors have difficulty assessing the comparison of several laboratories to determine the best performance or declining performance in each semester. The calculation of the final score uses the average value method (mean) so that all criteria are considered to have the same weight in terms of importance so that it is not possible to know which criteria are more important. The aim of the research is to apply the AHP method to select the best laboratory performance, therefore it is obtained to determine the weight of the criteria for the best laboratory assistant so that it can be used as a basis for decision making and applied by the Head of the Computer Laboratory in selecting the best laboratory assistant
Analisa Kepuasan Pengunjung di Objek Wisata Pemandian Kaliwetan Menggunakan Algoritma Naïve Bayes Zer, P. P.P.A.N.W.Fikrul Ilmi R.H.; Windarto, Agus Perdana
Brahmana : Jurnal Penerapan Kecerdasan Buatan Vol 5, No 2 (2024): Edisi Juni
Publisher : LPPM STIKOM Tunas Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/brahmana.v5i2.464

Abstract

This research assesses visitor satisfaction with the Kaliwetan Bathing Place tourist destination located in Karang Anyer Village, Gunung Maligas District, Simalungun Regency. These services include swimming pools, lodges, prayer rooms, canteens, toilets, and parking lots along with the use of Kaliwetan Baths and its natural water management system. Visitors who came were quite a lot in the first years, and in its development the number of tourists experienced a significant decline. In the context of applying Naïve Bayes algorithm to classify visitor satisfaction, which is very important for the growth of tourist population, this study was made. The results obtained are as follows; the model accurately predicts that 94 visitors are satisfied and 26 visitors are dissatisfied, with a data mining efficiency of 96.67%. The classification results show that although the majority of visitors are satisfied, there are 20% of visitors who are dissatisfied and the complaints may be caused by unsatisfactory facilities and services. This research provides suggestions to the manager of Kaliwetan Bath on how to improve the overall service and infrastructure that will increase the attraction of tourists to the area. The Naïve Bayes model used can be a starting point that can be used by the manager to make decisions related to services related to cleanliness, safety, and visitor comfort.
Penerapan SPK Menggunakan Metode Simple Additive Weighting (SAW) Seleksi Perekrutan Karyawan Bengkel Karnadi, Very
Brahmana : Jurnal Penerapan Kecerdasan Buatan Vol 5, No 2 (2024): Edisi Juni
Publisher : LPPM STIKOM Tunas Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/brahmana.v5i2.394

Abstract

PT X is a company operating in the automotive sector which provides various tools and two-wheeled motorbike parks. PT X is well known to customers both in the surrounding area and outside. To improve quality so that it responds quickly and is able to complete work according to targets, sufficient employees are needed. In recruitment, criteria are needed to match the targets and qualities required. However, the problem that often occurs today is that companies still experience difficulties in the employee recruitment process, this is caused by the many criteria factors in the selection process. To solve this problem, a Simple Additive Weighting (SAW) method is needed which is able to solve problems related to employee recruitment according to alternative criteria and the weight values used. The criteria used are 1. Experience, 2. Expertise, 3. Basic Ability Test 4. Responsibility and 5. Ethics. Based on the final score search results, the highest recruitment scores were obtained, namely Roby Sugara with a score of 0.95, recommendation 1, Agung Setang Budi with a score of 0.851, recommendation II and Benny Vernando with a score of 0.82, recommendation III. The decision making system using the SAW method is able to solve recruitment problems according to predetermined criteria.
Perancangan Ui/Ux Kuliner Smart Fisheries Village Bangsring Menggunakan User Centered Design Maulana, Hizbi; Hadiq, H
Brahmana : Jurnal Penerapan Kecerdasan Buatan Vol 5, No 2 (2024): Edisi Juni
Publisher : LPPM STIKOM Tunas Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/brahmana.v5i2.399

Abstract

Smart Fisheries Village Bangsring (SFV) is a concept for fishing villages that integrates advanced technology to advance the fisheries and tourism sectors. In this context, designing the user interface (UI) and user experience (UX) for culinary applications in SFV becomes crucial in ensuring success and acceptance by the public and tourists. In facing this development, the problem that arises is the lack of a system that effectively integrates information about local culinary delights, causing a lack of awareness and accessibility for visitors and local communities to the existing culinary riches. This research aims to design the culinary UI/UX of the SFV web-based application using a User Centered Design (UCD) approach to ensure the suitability of the application to user needs and preferences. The UCD method is used in the stages of user needs analysis, concept design, prototype development, and evaluation through user interviews and usability testing. The results of this research include user-friendly interface design, intuitive navigation, and satisfactory user experience. It is hoped that by implementing the UCD approach, culinary applications in (SFV) can increase user involvement and contribute to the development of tourism and the local economy. In conclusion, designing culinary UI/UX using UCD is an effective strategy in creating applications that are responsive to user needs in smart village environments such as (SFV). The average SUS score is 98 which is in the excellent category. With these results it can be concluded that the information system created has succeeded in providing the information needed by users and has resolved the problems experienced by users.
Sistem Informasi Presensi Karyawan Berbasis Web Menggunakan Model RAD Anisah, A; Supardi, S; Kirana, Chandra; Mayasari, Melati Suci; Perkasa, Eza Budi; Irawadi, Syafrul
Brahmana : Jurnal Penerapan Kecerdasan Buatan Vol 5, No 2 (2024): Edisi Juni
Publisher : LPPM STIKOM Tunas Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/brahmana.v5i2.390

Abstract

Employee attendance in a company is a vital aspect of Human Resources Management (HRM) system that helps ensure employee discipline and it also can be used to facilitate payroll management. This attendance allows the company to take necessary actions to improve workplace discipline. This research aims to develop a web-based employee attendance information system using the Rapid Application Development (RAD) model and the system development method using an Object-Oriented methodology with the help of Unified Modelling Language (UML) tools. Thus, this attendance information system can assist the company or organization take easy the HR department's task of monitoring employee attendance in real-time, enhancing the efficiency of attendance-related administrative processes, and providing accurate and detailed reports on employee attendance patterns within an organization or company. 
Penerapan Algoritma K-Means Dalam Clustering Data Seleksi Benih Kelapa Sawit Di PPKS Unit Marihat Tambunan, Fazli Nugraha
Brahmana : Jurnal Penerapan Kecerdasan Buatan Vol 5, No 2 (2024): Edisi Juni
Publisher : LPPM STIKOM Tunas Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/brahmana.v5i2.465

Abstract

Oil palm is one of the most useful gardens in daily life. In addition to producing vegetable oil, oil palm seeds can also be marketed. In this study, palm oil seed data will be clustered using the K-Means method to determine the results of good seeds. Clustering means a method of analyzing data whose purpose is to group data with the same characteristics and characteristics in an area. While K-Means is a data analysis method or Data Mining method that performs unsupervised modeling process and is one of the methods that classify data with a partition system (division of an object into several parts with a specific purpose). The K-Means method seeks to group existing data into several groups, where data in one group has similar characteristics to each other and has different characteristics from data in other groups. In other words, this method tries to minimize the variation between data in a cluster and maximize the variation with data in other clusters.
Perhitungan Jarak Dalam Meminimalkan Biaya Perjalanan Menggunakan Algoritma Generate And Test M, Padma Mike Putri
Brahmana : Jurnal Penerapan Kecerdasan Buatan Vol 5, No 2 (2024): Edisi Juni
Publisher : LPPM STIKOM Tunas Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/brahmana.v5i2.395

Abstract

Generate and Test is included in the artificial intelligence section where the search process must find a solution to the success of a system in producing value. Generate and test is a simple method in the heuristic search process. The way this algorithm works is like a combination of depth-first search and backtracking because the solution must be generated completely before being tested. If the generation of a solution is done systematically and follows the procedure, it will find the solution. The problem in this research is determining a route that is difficult to detect because it has many paths to get to the final value, so an algorithm is needed to solve this problem so that the path to be taken has a smaller range and is able to manage time and costs. Based on the final results obtained, 3 paths were found that can be used as a reference in saving time and costs, including, path 1 f (E-F-L-R-U-Z) = 9+6+13+16+13=57, path 2. f (E-G-M-S-X-Z = 7+5+ 11+19+12 =54 and path 3. f (E-H-N-T-Y-Z = 5+9+8+14+16=52. This algorithm can be used as a reference in determining travel routes and other measurement cases.

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