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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 84 Documents
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Search results for , issue "Vol. 4 No. 1 (2024): October 2024" : 84 Documents clear
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.
Design and Implementation of Gereja Kristen Sumba Jemaat Wulla Financial Management Information System Atahau, Fonensia Djati; Hariadi, Fajar; Talakua, Alfrian Carmen
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.v4i1.540

Abstract

Gereja Kristen Sumba Jemaat Wulla merupakan gereja yang berada di bawah naungan Sinode Gereja Kristen Sumba yang berdiri pada tanggal 4 November 2015 dan memiliki struktur Badan Pekerja Majelis Jemaat (BPMJ) yang dikelola oleh Pdt. Ina Margaretha, S.Th sebagai ketua dan dibantu oleh Yuliana Atakuni (wakil), Rina Ana Wulang (sekretaris), dan Amelia Lima (bendahara). Sebagai lembaga yang mengelola keuangan yang dihimpun secara sukarela dari masyarakat, diperlukan akuntabilitas dan transparansi dalam administrasi dan pengelolaannya. Permasalahan di Gereja Kristen Sumba Jemaat Wulla cukup kompleks karena pengelolaan data keuangan masih tercatat dalam buku yang menyebabkan proses pengelolaan membutuhkan waktu lama, tidak tercatat dengan baik, serta ada kemungkinan buku rusak atau hilang, penilaian tidak akurat, dan sering terjadi kesalahan pada saat merekapitulasi data. Dalam membangun sistem ini digunakan metode Waterfall yang mana terdapat tahapan-tahapan antara lain Analisis Persyaratan, Perancangan Sistem, Penulisan Kode Program, Pengujian Program, Implementasi dan Pemeliharaan Program. Dari pengujian menggunakan System Usability Scale (SUS) diperoleh hasil skor 85, yang menunjukkan bahwa sistem informasi manajemen keuangan yang dibuat layak untuk digunakan dengan rentang tingkat penerimaan “Acceptable” dan rentang tingkat penerimaan “High”. Dengan skala nilai berada pada kelas “B”, maka penilaian kata sifat “Excellent”. Hasil tersebut menunjukkan bahwa sistem informasi manajemen keuangan gereja dapat diterima oleh para penggunanya. Sistem ini dapat memudahkan bendahara gereja dalam melakukan pendataan dan meningkatkan keakuratan data pendapatan dan pengeluaran gereja.
Clustering of Student Expertise Fields Using the K-Means Algorithm (Case Study: STMIK Kaputama Binjai) Aulia, Damai Aulia Br Karo; Maulita, Yani; Prahmana, I Gusti
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.v4i1.541

Abstract

Grouping students' fields of expertise in higher education is an important issue that can provide significant benefits for students and educational institutions. STMIK Kaputama is one of the universities that has students with various fields of expertise, but the absence of data that informs the field of expertise of students is very unfortunate. Research data was obtained through questionnaires distributed to students, which included information about study programs, Grade Point Average (GPA), and areas of expertise. Clustering analysis was conducted using Matlab software to validate and implement the clustering results. The results show that the K-Means algorithm is effective in grouping students into clusters that have similar characteristics. The first cluster consists of students with expertise in programming and database, the second cluster focuses on students with networking expertise, and the third cluster includes students with various combinations of expertise.This study also found a tendency that students with certain expertise have a higher GPA than students with other expertise.
Design and Development of a Prototype Water Level Control System for Early Flood Detection Based on The Internet of Things: a Case Study of Kambaniru Dam Manutede, Imaniaro; 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.v4i1.542

Abstract

Flooding can occur due to overflowing water during the rainy season, therefore early detection of the water level in dams as water runoff processing structures is needed. When heavy rain occurs it can result in flood disasters that are detrimental to communities, dam infrastructure and agricultural land. This research aims to monitor water levels online as initial information about impending flood disasters. Monitoring using Internet of Things (IoT) based technology is intended to obtain water level information in real time. In this device the HC-SR04 ultrasonic sensor is used as a water level reader, a waterflow sensor as a water discharge reader and a servo motor as a sluice gate controller. The results of this research are a prototype of a water level detection device that can provide water level information and can control sluice gates. automatically and can be controlled manually or remotely via the latest notifications in the Blynk application using the MQTT protocol. This research was carried out by taking information based on the results of direct observations and interviews with officers at Kambaniru Dam, Lambanapu Village, Kambera District. In this way, the prototype of this detection tool will be easy to use as initial information about the possibility of flooding.
Classification Of Students Based On Factors That Affect Student Learning Achievement Using The K-Means Clustering Algorithm (Case Study: STMIK Kaputama Binjai) Dea, Dea Puspita; Buaton, Relita; Khair, Husnul
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.v4i1.546

Abstract

In the world of education, students are the main object of every educational implementation that always prioritizes disciplines that are beneficial to the students themselves. However, in lecture activities there are students who are diligent in participating in lecture activities and there are also those who rarely participate in lecture activities, this can be caused by internal and external factors, so that there can be significant variations in student learning achievements, with some achieving high grades, while others face difficulties in achieving the same achievements. Based on the description of the problem, the researcher conducted a study that aimed to group students based on factors that affect student learning achievement using the k-means clustering algorithm. The results of the research conducted produced 3 clusters with cluster 1 there were 5 data, the group of students with a very satisfactory predicate GPA (3.50-4.00), supported by both internal and external factors (interval 3.1-4). Cluster 2 has 3 data, the group of students with a satisfactory predicate GPA (3.00-3.49), supported by both internal and external factors (interval 2.1-3), and cluster 3 has 5 data, the group of students with a satisfactory predicate GPA (3.00-3.49), supported by both internal and external factors (interval 3.1-4).
Development of the Dukcapil Application In Setia Mekar Village Mubarok, Ahmad Syahrul; Farhan, Dhia; Satria, Rian; Pamungkas, R Wisnu Prio
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.v4i1.551

Abstract

Technology will develop more and more every year. Many things currently use technology from various aspects, including general elections for government institutions in Indonesia. Data collection on general election participants in Indonesia is still relatively slow because data collection is still used manually and handwritten. The creation of this data collection system involved village government agencies including population administration and civil registration services (Dukcapil). This article discusses the design of the Dukcapil election application in Setiamekar Village which aims to simplify the administrative process and increase the efficiency of public services. The methods used in this design include needs analysis, system design, implementation and evaluation. The research results show that this application can help speed up the administration process, reduce manual errors, and increase public satisfaction.
Design Of a Web-Based School Operational Assistance (Bos) Management Information System at SMA Negeri 1 Nggaha Ori Angu Melda Kareri Hara; Yustina Rada; Erwianta Gustial Radjah
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.v4i1.553

Abstract

The management of School Operational Assistance (BOS) funds is an annual obligation for educational institutions. The Treasurer is responsible for this activity, which is overseen by the Principal. However, at SMA Negeri 1 Nggaha Ori Angu, the School Operational Assistance (BOS) fund management system is still conducted using a physical ledger. This process has encountered several challenges, including the difficulty in calculating the total funds managed and the lack of efficiency in managing the School Operational Assistance (BOS) funds. The process of utilising the ledger currently results in the unnecessary expenditure of time and effort, in addition to a considerable risk of errors and inaccuracies in the recorded data. In light of the challenges encountered in the management of School Operational Assistance (BOS) funds at SMA Negeri 1 Nggaha Ori Angu, this research aims to develop an Information System for the Management of School Operational Assistance Funds (BOS) using the Rapid Application Development (RAD) method. The web development in this research will employ the Hypertext Preprocessor (PHP) programming language with the CodeIgniter framework, which implements the Model-View-Control (MVC) concept. This technology has the potential to optimize and enhance the quality of School Operational Assistance (BOS) fund management at SMA Negeri 1 Nggaha Ori Angu.

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