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Journal of Artificial Intelligence and Engineering Applications (JAIEA)
Published by Yayasan Kita Menulis
ISSN : -     EISSN : 28084519     DOI : https://doi.org/10.53842/jaiea.v1i1
Core Subject : Science, Engineering,
Automotive Engineering Computer Science & IT Control & Systems Engineering
The Journal of Artificial Intelligence and Engineering Applications (JAIEA) is a peer-reviewed journal. The JAIEA welcomes papers on broad aspects of Artificial Intelligence and Engineering which is an always hot topic to study, but not limited to, cognition and AI applications, engineering applications, mechatronic engineering, medical engineering, chemical engineering, civil engineering, industrial engineering, energy engineering, manufacturing engineering, mechanical engineering, applied sciences, AI and Human Sciences, AI and education, AI and robotics, automated reasoning and inference, case-based reasoning, computer vision, constraint processing, heuristic search, machine learning, multi-agent systems, and natural language processing. Publications in this journal produce reports that can solve problems based on intelligence, which can be proven to be more effective.
Arjuna Subject : Ilmu Komputer (semua kategori) - Kecerdasan Buatan
Articles 72 Documents
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Search results for , issue "Vol. 3 No. 1 (2023): October 2023" : 72 Documents clear
Searching For The Nearest Route To The Location Of Health Facilities Using The Djikstra Method Nurita Indriana; A M H Pardede; Siswan Syahputra
Journal of Artificial Intelligence and Engineering Applications (JAIEA) Vol. 3 No. 1 (2023): October 2023
Publisher : Yayasan Kita Menulis

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59934/jaiea.v3i1.224

Abstract

A health facility or health service facility is a tool or place used to carry out health service efforts, both in terms of promotive, preventive, curative and rehabilitative carried out by the central government, regional government or the community. This research contains development applications that cover every hospital, health center, and practice clinic located in the Langkat Regency area with the aim of facilitating the community in finding the nearest hospital, health center, and practice clinic. The application built can display the location of the health facility in map form and can display information in the form of name, address, telephone number, photo of the health facility, services available there, working hours, and further information on the place. In this study, the search for health facilities is only subject to distance as a health facility criterion, so that it can be developed further. To find the closest route to a health facility, here the author uses the Dijkstra Algorithm method which has been widely researched to be applied to the shortest route search system. This algorithm was invented by Edsger Dijkstra, a computer scientist from the Netherlands. The way Dijkstra's algorithm works is with a greedy strategy, namely at each step it chooses the side with the smallest value that connects the selected and unselected nodes/nodes. This algorithm requires a point of origin and a destination with the final result being the shortest distance from the point of origin to the destination along with the route.
Cloud Computing Technology in Development E-Business (Literature Review) Liana Syah Fitri; Elinca; Ena Larisma; Natalia; Britney Levina
Journal of Artificial Intelligence and Engineering Applications (JAIEA) Vol. 3 No. 1 (2023): October 2023
Publisher : Yayasan Kita Menulis

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59934/jaiea.v3i1.232

Abstract

Good use of technology will be able to help various kinds of work activities including in the business world. High mobility requires a person or group to use information technology. One of the topics of technological development today is cloud computing. Cloud computing is a technology that uses the internet network to access resources in the process of managing data, processing data to its application. Cloud computing is widely used by people to start a business because it has many advantages in starting a business. One of the new concepts offered is e-business or electronic business. E-business is an expanded form of e-Commerce, where e-business is accompanied by customer service, collaboration with business partners with electronic support as a means of transaction or organization, but not only purchases, payments for goods, and services, but also Cloud computing services allow companies to determine the capacity to meet demand and move according to the speed of business growth of the company but not at a speed determined by enterprise infrastructure. This allows companies to generate better time to market, speed up application delivery and ensure management of capital or operational costs. Cloud computing implementation in business requires consideration of business and IT requirements as well as selecting available cloud computing to formulate the right cloud strategy. The goal after the implementation of cloud computing is that users can expand cloud computing capabilities more efficiently. In addition to having the advantages of cloud computing, it also has risks, namely only providers who know physically what is happening with user data, when disasters occur sometimes the ability of providers to recover data is still a concern for users, and provider compliance with regulations and when experiencing bankruptcy is still uncertain.
Identification of Longan Species Based on Leaf Shape Texture and Color Using KNN Classification Setia Adiyasa Lubis; Yani Maulita; Mili Alfhi Syari
Journal of Artificial Intelligence and Engineering Applications (JAIEA) Vol. 3 No. 1 (2023): October 2023
Publisher : Yayasan Kita Menulis

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59934/jaiea.v3i1.238

Abstract

This study aims to identify the type of longan based on the shape, texture and color of the leaves using KNN classification. With a method that can identify the type of longan automatically, farmers and researchers can obtain information more quickly and accurately about the type of longan that is being cultivated or studied. This can help in choosing the right variety, more efficient maintenance, and improve the quality and productivity of longan plants. This research is an experimental research consisting of eight steps, namely preparation, theoretical studies, data collection, data analysis and processing, testing and implementation and the last is the final stage. Based on research conducted at UD Mitra Tani on Jalan Madura No. 81 Kebun Lada, Kec. Binjai Utara, Binjai City, North Sumatra, the results of data analysis from longan leaves show that the most common type of longan found in the nursery is Red longan. This study was conducted to identify the dominant longan species in the population and gain a deeper understanding of the diversity of longan varieties in the region.
The Relationship Between Socioeconomic Status And Nutritional Status Of Toddlers In Buha Village Mapanget Sub-District Manado City (Literature Review) Herdianta Tarigan; Varellisia Sandjeri Mulia Saragih; Helmalia Lumbantoruan; Riris Pasaribu; Juni Sianipar; Exaudya Situmeang
Journal of Artificial Intelligence and Engineering Applications (JAIEA) Vol. 3 No. 1 (2023): October 2023
Publisher : Yayasan Kita Menulis

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59934/jaiea.v3i1.240

Abstract

Nutritional status is the state of the body as a result of food consumption and nutrient use. Nutritional status is influenced by several factors, one of which is socioeconomic level. Children under five years old (toddlers) are the "golden age" in growth and development. Toddlers are the age group that most often suffers from malnutrition. Malnourished toddlers can be caused by family socioeconomic factors. Socioeconomic status as the root of malnutrition related to the purchasing power of food in households has an impact on the fulfillment of nutrients. The purpose of the study was to determine the relationship between socioeconomic status and nutritional status of toddlers in Buha Village, Mapanget District, Manado City. The research method is analytical with a cross sectional approach. The samples used were 71 toddlers using purposive sampling techniques. The data collection process uses questionnaires and is statistically tested with percentage formulas to answer the first and second statements, Spearmen Correlation tests to answer the third statement. The results of the study found that the picture of socioeconomic status is low income, the picture of nutritional status of toddlers is more nutrition and there is no significant relationship between socioeconomic status and nutritional status of toddlers with a value of p = 0.60>0.05. It can be concluded that there is no significant relationship between socioeconomic status and nutritional status of toddlers in Buha Village, Mapanget District, Manado City. Recommendations for further researchers to add other variables, namely factors that affect the nutritional status of toddlers, namely hygiene, environmental sanitation, where poor environmental conditions allow various diseases to occur, including malnutrition and even malnutrition.
Implementation of Mechine Learning Eligibility for Customer Credit Payments at Bank BTN Using the K – Nearst Neighbor Algorithm Ema Sari Suwandi; Relita Buaton; Rusmin Saragih
Journal of Artificial Intelligence and Engineering Applications (JAIEA) Vol. 3 No. 1 (2023): October 2023
Publisher : Yayasan Kita Menulis

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59934/jaiea.v3i1.246

Abstract

Credit is the provision of money or bills that can be equated with that, based on a loan agreement or agreement between a bank and another party that requires the borrower to pay off the debt after a certain period of time with interest (Government of Indonesia, 1998). In its initial development, credit had a function in stimulating mutual assistance aimed at meeting needs, both in the field of business and meeting daily needs.In developing applications, it is necessary to predict applications at Bank BTN Medan accurately, accurate prediction results are very important in showing the right rating and decision-making in selecting customers. When customers experience arrears, the system used by Bank BTN Medan is still manual and has not applied predication in credit arrears to customers of Bank BTN Medan. Tests carried out in this test use a credit customer dataset from Bank BTN Medan. This study predicts the eligibility of customer credit payments at Bank BTN with the K – Nearst neighbor algorithm. The prediction of the level of smoothness of credit payments is made using K-Nearest Neighbor in order to be able to predict the smoothness of future credit payments.
Determining The Selection Of Departments At Abdi Negara Vocational School Using The Additive Ratio Assessment (Aras) Method Putri Lishayani; Relita Buaton; Tio Ria Pasaribu
Journal of Artificial Intelligence and Engineering Applications (JAIEA) Vol. 3 No. 1 (2023): October 2023
Publisher : Yayasan Kita Menulis

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59934/jaiea.v3i1.251

Abstract

Along with the occurrence of competition and the development of technology and information in the current era of globalization requires skilled and ready-to-use human resources in the world of work. The efforts made are to improve the quality of education in Indonesia which always receives attention from various parties. One way to improve education is to determine the right majors at Vocational High Schools (SMK). The differences in each student with a different background must be considered because they can determine whether student achievement is good or bad. In ddition, the decision also greatly influences the alternative process chosen, especially in choosing the concentration of majors that are in accordance with the skills and expertise of students. Based on the author's observations at ABDI NEGARA VOCATIONAL SCHOOL through data collection both by conducting interviews and through available documents, the reasons students choose majors are usually based on student parents' references, besides that due to trend reasons (most students take that major). Therefore, through research using Decision Support Systems, it is hoped that it can provide recommendations to find out which majors to choose according to the interests or abilities of each student. So that there are no problems regarding failure or dropping out of school (drop out).
IoT-based Hydroponic Plant Monitoring System Fadillah Fadillah; Relita Buaton; Suci Ramadani
Journal of Artificial Intelligence and Engineering Applications (JAIEA) Vol. 3 No. 1 (2023): October 2023
Publisher : Yayasan Kita Menulis

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59934/jaiea.v3i1.255

Abstract

The Industrial Revolution 4.0 has an impact in the form of changes in various fields of human civilization, one of which is the agricultural sector. By applying IoT technology, hydroponic plants will effectively be accurate. IoT has room for improvement in the quality and quantity of agricultural production because it facilitates the automation of monitoring various processes with high precision This research uses the prototype method. Which uses the concept of direct monitoring and allows iterative changes to be made until the desired results are achieved. So this prototype method makes it possible to display the display directly. The microcontroller used is ESP32 which is connected to 3 sensors, namely the TDS sensor, DHT11 sensor and HC-SR04 sensor which are directly updated in the blynk application. In making the software program used is the Arduino IDE. Implementation of the tool is carried out on a floating raft installation. This iot-based hydroponic plant monitoring system has been successfully made and is able to monitor well. Because the system made is related to water, it is necessary to design a tool that is safer and has more protection so that it can’t only run well but also safer for users and a high level of durability.
Occupational Correlation to the Level of Community Welfare Using The Apriori Algorithm (Case Study: Mangga Village) Aulia Adlin Revaldi; Novriyenni; Lina Arliana Nur Kadim
Journal of Artificial Intelligence and Engineering Applications (JAIEA) Vol. 3 No. 1 (2023): October 2023
Publisher : Yayasan Kita Menulis

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59934/jaiea.v3i1.257

Abstract

Mango village is one of the areas that participates in various welfare programs for the local community, where in this village there are still people who are far from prosperous because of various factors that affect the welfare of the local community, one of which is the jobs owned by the community. Therefore, it is important for people to understand that work also greatly influences the level of welfare for their own lives, so that they are fulfilled in the economy, education and others. Therefore the author wants to create a system that can assist the government in developing community welfare programs in Mango Village by knowing the relationship between work and the level of social welfare. After carrying out the above case trials with minimum support = 25%, confidence = 100% so that the rule results that meet the support and confidence values are obtained, it can be concluded that if the assets owned are A4 (motorcycles), with T2 dependents (3-4), with M2 jobs (Private Employees) and A4 assets (Motorcycles), with P2 income (> 1,000,000 - < 2,000,000), then enter K2 (welfare stage II) with a support value of 20%, 100% confidence.
Diagnosis Of Cholesterol Disease In Adolescence Using Certainty Factor Method Kusuma Wardhani; Marto Sihombing; Siswan Syahputra
Journal of Artificial Intelligence and Engineering Applications (JAIEA) Vol. 3 No. 1 (2023): October 2023
Publisher : Yayasan Kita Menulis

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59934/jaiea.v3i1.258

Abstract

Expert system is a computer program designed to emulate the abilities of an expert in solving problems in a particular field. This system can assist in making a decision and provide a solution based on the data that has been obtained. Delia General Hospital (RSU) is a hospital in Langkat district that provides health services to the community to cure diseases, one of which is cholesterol. Cholesterol is a fatty substance contained in the blood and produced by the body. Cholesterol has an important role in helping to produce hormones and form cells. However, if the level of cholesterol in the blood is too high, it can cause health problems such as atherosclerosis, stroke, and heart disease. Increased cholesterol levels occur in adolescents due to unhealthy lifestyles and consuming foods high in fat. Certainty factor is a method in artificial intelligence that is used to determine whether a fact is certain or uncertain and provides accurate results by calculating the weight of symptoms determined by an expert and can produce answers to uncertain questions.
Diagnosis of Herpes Zoster Using Bayes Theorem Method Kellyn Frisca Prastiwi; Novriyenni; Husnul Khair
Journal of Artificial Intelligence and Engineering Applications (JAIEA) Vol. 3 No. 1 (2023): October 2023
Publisher : Yayasan Kita Menulis

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59934/jaiea.v3i1.259

Abstract

Expert Systems is one branch of Artificial Intelligence (AI) that makes widespread use of knowledge or knowledge specifically for solving expert human-level problems. Kartini Clinic has several health workers such as nurses, midwives to doctors who are ready to serve people who suffer from various diseases, one of which is Herpers Zoster disease. Shingles is an acute inflammation of the skin usually characterized by the appearance of red bubbles like small blisters that cluster on the surface of the skin and watery and accompanied by itching and heat. This disease will appear more if there is irritation, wounds or abrasions and a long healing process. Bayes' theorem is a mathematical equation used in probability and statistics to calculate conditional probabilities.

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