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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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Prediksi Penjualan Obat Menggunakan Metode Forecasting Exponential Smooting Models (Kasus pada Apotek Simpang F) Sari, Putri Permata; Hidayat, Asep Toyib; Wijaya, Harma Oktafia Lingga; Armanto, A
Brahmana : Jurnal Penerapan Kecerdasan Buatan Vol 4, No 2 (2023): Edisi Juni
Publisher : LPPM STIKOM Tunas Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/brahmana.v4i2.187

Abstract

Prediction is an attempt to predict future conditions through testing conditions in the past. The problem with the Simpang F Pharmacy is that the Pharmacy has not been able to predict drug sales in the future because the demand for drugs is increasing. In this study, the use of the Single Exponential Smoothing (SES) method was implemented to predict drug sales at the Simpang F Pharmacy based on previous data. The drug samples used were 8 drugs, namely Paracetamol 500 mg, Ketoconazol 200 mg, Paraflu, Ambroxol 30 mg, Piroxicam 20 mg, Antacids, Tera-F and Samtacid as many as 264 data, from February 2020 to October 2022. Data testing used the Rstudio programming. In analyzing the researchers used the stages of inputting data, viewing data plots, making predictions, and measuring the Mean Percentage Error (MAPE) error value. The prediction results of drug sales at the Simpang F Pharmacy are Paracetamol 422.4929, Ketoconazole 180.0739, Paraflu 860.0145, Ambroxol 337.0633, Piroxicam 175.0015, Antacids 839.1842, Tera-F 910.6769, and Samtacid 167.1121. With MAPE values of 10.62926 ,17.39772 ,9.727205 9.095175, 14.94 4.617481, 4.052524, and 9.727205. And the accuracy of the prediction results was Paracetamol 89.4%, Ketoconazole 82.2%, Paraflu 95.4%, Ambroxol 90.9 %, antacids 95.4%, Tera-F 96%, and Samtacid 90.3%. Accuracy is stated as accurate for predictions using the Single Exponential Smoothing (SES) method.
Penerapan Algoritma Random Forest Dalam Klasifikasi Penjurusan Di SMA Negeri Tugumulyo Marlina, Haiza; Elmayati, E; Zulius, Antoni; Wijaya, Harma Oktafia Lingga
Brahmana : Jurnal Penerapan Kecerdasan Buatan Vol 4, No 2 (2023): Edisi Juni
Publisher : LPPM STIKOM Tunas Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/brahmana.v4i2.188

Abstract

The problem in this study is the difficulty in determining the majors at Tugumulyo State High School, for that a classification model is needed that can determine the right majors in student majors at Tugumulyo State High School. This research uses data collection methods, by observing and recording directly at the research site (observation), asking questions directly to the source (interview), and documentation by reading literature guidelines. The results showed that the majors classification model using the Random Forest algorithm. It can be concluded that the model built using the R programming language gets an accuracy value of 0.9314 and is included in the good classification category.
Analisis Perbandingan Fungsi Aktivasi CNN Pada Pengelompokan Jenis Beras Berdasarkan Mutu Beras Wathani, Muhammad Rais; Hidayati, Nur
Brahmana : Jurnal Penerapan Kecerdasan Buatan Vol 4, No 2 (2023): Edisi Juni
Publisher : LPPM STIKOM Tunas Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/brahmana.v4i2.189

Abstract

This article discusses the comparative analysis of activation functions in Convolutional Neural Network (CNN) for clustering rice types based on rice quality. Two activation functions tested are LogSoftmax and Softmax. Through data collection and CNN architecture implementation, we trained and evaluated the models using evaluation metrics such as accuracy, precision, recall, and F1 score. The results show significant differences in model performance based on the activation function used. These findings provide practical guidance for the food industry in selecting the optimal activation function for clustering rice types. The test results also indicate that the highest accuracy of 0.9787 or 97.87% was achieved with the LogSoftmax activation function architecture model, with the highest precision, recall, and F1 score. On the other hand, the Softmax activation function achieved an accuracy of 0.9286 or 92.86%.
Algoritma General and Test Menggunakan Metode Depth First Search Dalam Penentuan Jalur Rute Terpendek Putri, Weni Lestari; Jarti, Nanda
Brahmana : Jurnal Penerapan Kecerdasan Buatan Vol 4, No 2 (2023): Edisi Juni
Publisher : LPPM STIKOM Tunas Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/brahmana.v4i2.190

Abstract

General and Test is a branch of knowledge that is included in the field of artificial intelligence. Success in using the system is the basic goal of artificial intelligence itself. General and test works in solving problems and finding the best solution which is used as a reference in determining the path to find the smallest value so that you can quickly go to the place to be visited and can save time and money while traveling to the location. General and test has the concept of looking for the smallest alternative path by how to find all the path values to be visited, after being processed as a whole for each path, alternative starling values will be obtained which can be used as directions. The way the General and test method works is to combine Depth First Search with a backracking system. All solutions must be discussed in full prior to testing. The procedure for working with this method must be carried out systematically in order to get a good solution. General and test has a working principle (1). Generate possible solutions (2). Test whether the solution is correct according to the required criteria. (3). If a solution has been found then exit, but if it has not been found then the next step is to repeat the steps until you find the highest result that can be used as a reference in finding the path with the least or shortest distance. The problem in this study is the lack of information in passing the smallest path because there are many paths that must be chosen to get to the destination. The benefit of this research is to help the user in providing information on the path to be passed so as to save time and costs. Alternative results are obtained that can be used as a solution, namely the A-B-G-J-M-T line = 23+15+5+11=54 KM. This discussion can be used as a reference by traders in finding the shortest alternative so as to save travel costs and time
Penerapan Metode Analytical Hierarchy Process (AHP) Dalam Pemilihan Benih Padi Unggul Putri, Dini Ridha Dwiki; Fahlevi, Muhammad Reza; Indriani, Ulfah; Putri, Fetty Ade; Rahman, Maulia; Amali, Nailul
Brahmana : Jurnal Penerapan Kecerdasan Buatan Vol 4, No 2 (2023): Edisi Juni
Publisher : LPPM STIKOM Tunas Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/brahmana.v4i2.193

Abstract

Rice is the staple food source for the Indonesian nation. Quality rice is produced from superior rice seeds which have a high yield quantity. At present the agricultural sector is growing with many rice varieties emerging. Superior rice seeds are very important for farmers because rice seeds are the main factor that determine the success of rice cultivation. The existence of many choices makes farmers more careful in choosing the type of rice varieties that suit the soil structure and climatic conditions of the local agricultural environment. The Analytical Hierarchy Process (AHP) method is applied to determine the important criteria for rice varieties and to obtain alternatives that are in accordance with the environmental conditions of agricultural land. The alternatives used are the types of rice seeds in Indonesia, namely Inpari45, Baroma, Jeliteng, Pamelan, and Pamera. This Decision Support System was created to provide information and assist farmers in making decisions regarding the selection of rice seeds to be planted with the criteria of Upright Rice Height, Planting Age, Productive Saplings, and Yield Potential. By applying the AHP method to this Decision Support System, it is found that the best alternative has the highest value of 0.247.
Penerapan Metode Min-Max Dengan Reminder Pada Inventory Control Di Toko Obat Yurindra, Y; Fitriyani, F; Mayasari, Melati Suci; Kirana, Chandra; Anisah, A
Brahmana : Jurnal Penerapan Kecerdasan Buatan Vol 4, No 2 (2023): Edisi Juni
Publisher : LPPM STIKOM Tunas Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/brahmana.v4i2.194

Abstract

Inventory of goods is one of the supports in meeting the survival of a company. One of them is in business units related to the health sector, namely pharmacies and drug stores. One of them is Toko Herbal 99, which is a drug store that sells various herbal products. Many problems were found at the drugstore, among others, transaction documentation that had not been computerized and goods inspections were still carried out manually and resulting in frequently missed conditions of out-of-stock items or vacancies without being quickly identified. The min-max method is one method that can be used to solve this problem by making good inventory planning. By determining the minimum and maximum points for the number of items and making notifications or reminders for the warehouse admin, this method will be able to improve the performance of the herbal medicine shop 99 which has been a problem. This model is supported by a Desktop-based inventory control application design. With the application of the min-max method on the inventory control application, it is expected to make it easier to manage stock items and minimize the occurrence of stock shortages.
Analisis Perbandingan Algoritma Pencarian Jenis Tanaman Hias dengan Menggunakan Penerapan Metode Perbandingan Eksponensial Fauziah, F; Gunaryati, Aris; Nurhayati, N; Farahdinna, Frenda; Kaeren, K
Brahmana : Jurnal Penerapan Kecerdasan Buatan Vol 4, No 2 (2023): Edisi Juni
Publisher : LPPM STIKOM Tunas Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/brahmana.v4i2.195

Abstract

The process of searching data manually certainly takes a long time, therefore a system is needed that can speed up the data search process, especially ornamental plant data. In this study, two algorithms were used to compare the optimal data search process according to the type of data being collected. The data used are ornamental plant data. The two algorithms used are Knuth Morris Pratt and Boyer Moore. The process is carried out by comparing text and existing patterns based on the type of character that is carried out in this test and utilizing the exponential comparison method with a value comparison of 109.13 using the Boyer Moore algorithm and 139.19 with the Knuth Morris Pratt algorithm so that the type of Boyer Moore algorithm can be known faster than Knuth Morris Pratt for text searches related to the types of ornamental plants in the trial in this study.
Perbandingan Metode SMART Dan SAW Dalam Menentukan Karyawan Terbaik Sari, Dian Permata
Brahmana : Jurnal Penerapan Kecerdasan Buatan Vol 4, No 2 (2023): Edisi Juni
Publisher : LPPM STIKOM Tunas Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/brahmana.v4i2.196

Abstract

Employee performance appraisal to select the best employees in an agency is very important. Giving awards for performance is a form of company appreciation to employees and a motivation for other employees to work seriously. However, the assessment is not objective, meaning that it does not have a standard assessment standard. To assist companies in determining the best employees, a decision support system (SPK) can be one of the solutions by calculating based on criteria determined by the company. For this case, the authors apply the SAW and SMART methods which are part of the DSS method in solving problems. There are several variables used, namely discipline, attendance, loyalty, teamwork, and performance. To obtain the final result, both SAW and SMART methods are calculated, then the results will be ranked, the one with the highest score becomes the main candidate in selecting the best employee.
Metode K-Nearest Neighbor Dan Naive Bayes Dalam Menentukan Status Gizi Balita Pratama, Junius; Fauziah, F; Sholihati, Ira Diana
Brahmana : Jurnal Penerapan Kecerdasan Buatan Vol 4, No 2 (2023): Edisi Juni
Publisher : LPPM STIKOM Tunas Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/brahmana.v4i2.197

Abstract

The nutritional intake needed by toddlers during the growth period for each individual has a different amount of consumption, therefore a process of checking nutritional status must be carried out. The indicators high and weight that will be calculated in determining the nutritional status. Until now the process of it status children under five is still carried out manually, resulting in the classification process of nutritional not being as expected. It is difficult for parents to go to the health center to check on their child's condition because the location is far from where they live and the administrative process is long. The propose is website-based information system, as well as providing recommendations on which method is the most accurate among K-Nearest Neighbors and Naïve Bayes in determining the nutritional status of toddlers. The results of this study have succeeded in creating an information system that can be used by users by inputting condition criteria for the process of classifying the nutritional status of toddlers. Naïve Bayes method is superior with a percentage value of 87.5% while the K-Nearest Neighbor method with k = 3 has an accuracy percentage of 71.25%
Sistem Pendaftaran Online Menggunakan Model Fast Berbasis Web Wijaya, Benny; Rachmatsyah, Agus Dendi; Yanuarti, Elly; Irawadi, Syafrul
Brahmana : Jurnal Penerapan Kecerdasan Buatan Vol 4, No 2 (2023): Edisi Juni
Publisher : LPPM STIKOM Tunas Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/brahmana.v4i2.227

Abstract

Alfatih Education Institute is a non-formal tutoring educational institution, Alfatih is one way for students to improve their ability to learn and obtain additional education. Currently, Alfatih still uses manual methods in terms of the registration process and data recording, this manual system also results in the registration process tending to be slow because the data of new students who have registered have not been integrated and is not managed properly, because they still use archives in physical form that are vulnerable to damage or even loss. Along with the development and advancement of computer technology, everything began to switch to equipment that uses computerized systems. So do not be surprised if slowly computerized systems are applied in the world of education. To be able to overcome these problems, a builder and design of a new tutoring participant registration information system was made at the Alfatih Education Institute. The method used is the Fats model with an object-oriented system approach modeled using UML. The end result of the design and development of information systems is the existence of an application that can provide easy access to information and the registration process so that the administrative process of new student admissions becomes more effective and efficient.

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