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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 430 Documents
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Forward Chaining Method in Expert System for Diagnosing Pests and Plant Diseases: A Systematic Literature Review Goda, Karina Dhena; Bay, Jenny Ronawati
Journal of Artificial Intelligence and Engineering Applications (JAIEA) Vol. 3 No. 3 (2024): June 2024
Publisher : Yayasan Kita Menulis

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59934/jaiea.v3i3.535

Abstract

Pest and disease attacks on plants are very detrimental factors for farmers. Lack of knowledge leads to a difficult diagnosis of attacks and slow control. The technology that can help farmers in diagnosing plant pests and diseases is the expert system. One of the most widely used algorithms is forward chaining. Although there have been many used further research is needed to determine the effectiveness of this method. This research wants to find out more advantages, types of platforms used, and benefits of expert systems with forward chaining algorithms. This study uses a systematic method literature review (SLR) to collect, assess, and analyze data systematically from various scientific articles. The results of the study show that the use of forward chaining has advantages and benefits for developers and farmers.
Implementation of the Simple Additive Weighting Method in Determining Promotional Locations for Prospective New Student Admissions in Colleges Kurniawijaya, Putu Andhika; Karsana, I Wayan Widi
Journal of Artificial Intelligence and Engineering Applications (JAIEA) Vol. 3 No. 3 (2024): June 2024
Publisher : Yayasan Kita Menulis

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59934/jaiea.v3i3.537

Abstract

Universities are currently competing in the selection of prospective students. By attracting high school graduates and others to continue their education to a higher level of education, universities promote high schools and vocational schools in the surrounding area. Every year, universities actively conduct promotional activities to gain the capacity that has been targeted by university leaders. One of the obstacles faced by universities in achieving the promotion target is the number of high schools and vocational schools spread across all provinces in Indonesia. The promotion section in determining the target area of promotion is requested by university leaders to be right on target because the budget of each university is limited. Determining the right promotion target can help universities strategize and use the budget appropriately and efficiently. The Simple Additive Weighting (SAW) method was chosen because it has an easy-to-understand concept. The criteria used in this study are: 1) the number of private universities in the district; 2) the number of high schools and vocational schools in the district; 3) the number of students in the district; and 4) the distance of private universities from the district.
Prediction of the Number of New Student UnregistrationBased on Mamdani Aries, Aries Setiawan; Wahid, Achmad Wahid Kurniawan; Retno, Retno Astuti Setijaningsih; Ida, Ida Farida; Budi, Budi Widjajanto; Jaka, Jaka Prasetya; Andi, Andi Hallang Lewa; Maria, Maria Safitri
Journal of Artificial Intelligence and Engineering Applications (JAIEA) Vol. 3 No. 3 (2024): June 2024
Publisher : Yayasan Kita Menulis

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59934/jaiea.v3i3.554

Abstract

One of the annual routine events carried out by a private university is the admission of new students (PMB). From a number of prospective students who register, there are usually a number of students who unregister or cancel registration. Several factors for unregistration of new students are (1) acceptance of state universities, the interest of prospective students to study at state universities is still high, (2) there are doubts about the study program chosen by students, (3) Inadequate ability to pay. Some of the above factors must be taken seriously so that there is no decrease in the number of registrations. The mamdani method is one of the calculation methods that can be used to predict the number of new student registrations, with 4 main stages, namely creating fuzzy sets, implementing implication functions, applying rules and regulations, and affirming. Prediction of unregistration using the Mamdani method will make it easier for academics, in this case the academic bureau, to find solutions to reduce the number of unregistration itself.
Design of a Web-Based Information System for Incoming and Outgoing Mail Archiving Using the Waterfall Method in Kambata Tana Village East Sumba Turu NdapaOtu, Nelson; Alfa R. L. Lede, Pingky
Journal of Artificial Intelligence and Engineering Applications (JAIEA) Vol. 3 No. 3 (2024): June 2024
Publisher : Yayasan Kita Menulis

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59934/jaiea.v3i3.570

Abstract

Surat merupakan salah satu media komunikasi yang sangat penting dalam lembaga, perusahaan, atau bentuk organisasi lainnya, yang digunakan untuk berkomunikasi dengan pihak eksternal maupun internal. Segala sesuatu yang berhubungan dengan kegiatan organisasi selalu dituangkan dalam bentuk surat. Kantor Desa Kambata Tana merupakan lembaga pemerintahan yang bertugas untuk menegakkan kewibawaan pemerintahan. Dalam menjalankan tugasnya, kantor tersebut banyak terlibat dalam bidang komunikasi. Saat ini terdapat beberapa kendala dalam penyampaian surat, misalnya tidak semua surat terarsipkan dengan baik dan sering hilang, yang perlu ditindaklanjuti oleh pihak yang bertanggung jawab. Tujuan dari penelitian ini adalah untuk merancang dan mengembangkan sistem informasi pengarsipan surat masuk dan keluar pada Kantor Desa Kambata Tana, sehingga memudahkan aparat desa dalam mengolah dan mengarsipkan data surat masuk dan keluar sehingga surat yang dibutuhkan dapat ditemukan dengan lebih cepat dan mendukung kelancaran kegiatan aparat desa. Metode penelitian yang digunakan adalah metode waterfall dengan langkah-langkah pengembangan sebagai berikut: pengumpulan data, analisis, pengembangan sistem informasi, dan pengujian.
Website-Based Academic Application Design at Rumah Gemilang Indonesia Depok Safudin, Mahmud; Eko Yulianto
Journal of Artificial Intelligence and Engineering Applications (JAIEA) Vol. 3 No. 3 (2024): June 2024
Publisher : Yayasan Kita Menulis

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59934/jaiea.v3i3.571

Abstract

Rumah Gemilang Indonesia is an empowerment program unit and training center under the Al-Azhar National Amil Zakat Institute Program directorate. The current collection of academic data is felt to be less effective because it is still done manually. One of the superior features planned is an online report card system that allows academic staff and students to access the academic data needed for their respective needs. The method of collecting data in the preparation of this thesis is the method of observation, interviews and literature study. A web development method developed using the Code Igniter framework whose programming language is PHP based, Code Igniter applies the MVC (Model, View, Controller) concept which makes it easier for developers to design a website. By developing this academic application, it can make it easier for academic staff to manage academic data and student report card scores online, which will be very effective and efficient in terms of time and students can immediately see the results of their report card scores online by accessing This academic application is through a website that is opened using a browser.
Analysis of Machine Learning Algorithms for Early Detection of Alzheimer’s Disease: A Comparative Study Deni Gunawan; Robi Aziz Zuama; Muhamad Abdul Ghani
Journal of Artificial Intelligence and Engineering Applications (JAIEA) Vol. 3 No. 3 (2024): June 2024
Publisher : Yayasan Kita Menulis

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59934/jaiea.v3i3.579

Abstract

This study aims to analyze and compare the performance of various machine learning algorithms in predicting Alzheimer's disease based on patient clinical data. The algorithms tested include Decision Tree, Random Forest, K-Nearest Neighbors (KNN), and Logistic Regression. The dataset used in this research consists of clinical data from patients, encompassing various health parameters. The results indicate that the Decision Tree and Random Forest algorithms provide the best performance, with an overall accuracy of 93%. Random Forest performs slightly better in recall for class 0 but slightly worse in recall for class 1 compared to Decision Tree. Logistic Regression also shows good performance with an overall accuracy of 83%, while K-Nearest Neighbors has the lowest performance with an overall accuracy of 72%. This research offers insights into the effectiveness of various machine learning algorithms in detecting Alzheimer's disease and underscores the importance of selecting the appropriate model based on data characteristics and application needs. For future research, it is recommended to further optimize the model hyperparameters, increase the dataset size, add new relevant features, and combine several models using ensemble learning techniques. External validation and the development of more interpretable models are also crucial to build trust in the use of machine learning in the healthcare field.
Analysis of the Quality of Pantalon Stitching Results Using the Pattern on Fabric Technique for Short Fat Women at Rencong Tailors Laura; Dermawan; Dilla; Farihah
Journal of Artificial Intelligence and Engineering Applications (JAIEA) Vol. 4 No. 1 (2024): October 2024
Publisher : Yayasan Kita Menulis

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59934/jaiea.v4i1.533

Abstract

The purpose of this study is to determine the quality of sewing results of women's plus-size pantaloon, using the pattern-on-fabric technique at Rencong Tailor in Binjai. This study consists of one variable, and the researchers employed a descriptive research method. The population of this study included plus-size women with a waist circumference of 100-105 cm and a hip circumference of 120-125 cm. The objects used in this study were 5 pairs of plus-size pantaloon that were sewn using the pattern-on-fabric technique at Rencong Tailor in Binjai. Data collection was carried out using observation sheets with the help of 5 observers, consisting of 3 lecturers in Fashion Design and Clothing and 2 experts in pantaloon making. Based on the calculation results from the observation assessments, the researchers found that the sewing results of plus-size short pants using the pattern-on-fabric technique obtained the highest score of 98 and the lowest score of 89. The average value (Mean) was 94.2, and the standard deviation was 69.06 for each indicator.
Implementation of Gauss Elimination Method on Electrical Circuits Using Python Karo Karo, Ichwanul Muslim; Karo Karo, Justaman Arifin; Yunianto; Hariyanto; Falah, Miftahul; Ginting, Manan
Journal of Artificial Intelligence and Engineering Applications (JAIEA) Vol. 4 No. 1 (2024): October 2024
Publisher : Yayasan Kita Menulis

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59934/jaiea.v4i1.536

Abstract

Problem solving in engineering, science and other disciplines often requires complex and in-depth analysis. A problem that requires effort is determining the value of electric current in a circuit. Generally, the determination of the current value in a circuit with the calculation of Kirchoff's theorem. This research presents an alternative approach to determine the value of electric current in a circuit by combining the Gauss Elimination method and Kirchoff's theorem. The determining process support by Python. This method is effective in finding unknown values in a system of linear equations through matrix operations. A deep understanding of currents in electrical circuits is essential in the design, analysis, and maintenance of electrical systems. The application of the Gauss Elimination Method becomes important in determining the value of current in complicated electrical circuits. The Gauss Elimination Method is able to solve electrical circuit problems using matrix principles to achieve accurate and relevant solutions
Web Based Payroll Information System Using CodeIgniter at the Regional Secretariat Tasikmalaya Regency Irawan, Arya Irawan; Komarudin Tasdik
Journal of Artificial Intelligence and Engineering Applications (JAIEA) Vol. 4 No. 1 (2024): October 2024
Publisher : Yayasan Kita Menulis

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59934/jaiea.v4i1.538

Abstract

The problem faced in the payroll system at the Regional Secretariat of Tasikmalaya Regency is that the process is still carried out manually or semi-manually, which causes a lack of efficiency and accuracy in payroll management. So it is necessary to develop and implement a web-based Payroll Information System using the CodeIgniter framework to increase efficiency and accuracy in payroll management at the Regional Secretariat of Tasikmalaya Regency. The method used in this research study is software development which includes requirements analysis, design, implementation and system testing. The CodeIgniter framework was chosen because of its advantages in developing fast and structured web applications. This method enables the design and development of an efficient and effective web-based payroll information system. This system is designed to simplify the employee payroll process with features that include managing employee data, position data, attendance, setting salary deductions, payroll and reporting. With this implementation, it is hoped that it can increase efficiency and accuracy in payroll management at the Regional Secretariat of Tasikmalaya Regency.
Nutritional Status Collection Using Height And Weight Indicators At Posyandu Latalanyir Based On The Internet Of Things Remi Awang, Irene; Pingky Alfa Ray Leo Lede; Hawu Yogia Pradana Uly
Journal of Artificial Intelligence and Engineering Applications (JAIEA) Vol. 4 No. 1 (2024): October 2024
Publisher : Yayasan Kita Menulis

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59934/jaiea.v4i1.539

Abstract

This research aims to develop a nutritional status data collection system at Posyandu Latalanyir using height and weight indicators based on the Internet of Things (IoT). This system is designed to simplify the process of measuring and collecting data on the nutritional status of toddlers, as well as increasing the accuracy and efficiency of data processing. The approach used involves using an ultrasonic sensor to measure body height, an HX711 load cell sensor to measure body weight, and an ESP8266 module to send data to the Blynk platform. The collected data will be processed to calculate Body Mass Index (BMI) and sent to the Blynk application for real-time monitoring. The results of this research show that the system developed can measure height and weight accurately, as well as provide nutritional status data that can be easily accessed by health workers at posyandu. The conclusion of this research is that the IoT system developed is effective in improving the quality of nutritional status data collection in posyandu, as well as providing significant benefits in monitoring the nutritional development of toddlers.

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