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All Journal Indonesia Berdaya Jurnal JEETech Jurnal Ilmiah Kesehatan (JIKA) Journal Of Human And Education (JAHE) Jurnal of Information Technology and Society (JITS) Jurnal Kesehatan dan Teknologi
Muhammad Ikhwan Mardin
Institut Kesehatan Dan Teknologi Buton Raya
Arts Humanities Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Health Professions Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Medicine & Pharmacology Nursing Public Health Social Sciences Veterinary Other

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Journal : Jurnal JEETech

 1 
Sistem Absensi Dosen Berbasis Radio Frequency Identification (RFID) Sebagai Perhitungan Honor Dosen Ikhwan Mardin, Muhammad; Ahmad, Andani; Wardi, Wardi
Jurnal JEETech Vol. 5 No. 1 (2024): Nomor 1 May
Publisher : Universitas Darul Ulum

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32492/jeetech.v5i1.5102

Abstract

This research designed a sense to find out the number of lecturers who enter and finish teaching lectures. Fikom, UMI still uses a manual system in managing lecturers' teaching salaries, so that it has several battles that usually occur in manual systems, including the attendance process and attendance recapitulation inefficient, less transparent because lecturers cannot access the issue of honorarium that lecturers will receive, and what will happen is that the salary calculation is not accurate so that it often results in disputes between lecturers and the finance department. on this occasion the author tries to design a working system of a tool that can recap lecturer attendance that can function to increase efficiency, transparency, and accuracy in the management of lecturer teaching honoraria. The system designed in this study was made using the RFID module and Raspberry Pi as the primary component of the system. The original way of working of this system comes from reading identification data from the RFID card carried by the lecturer. The data read by the RFID will be sent to the Raspberry Pi as input data. Raspberry pi will send RFID data readings to the server computer into input data. personal computer server will get data from Raspberry pi and will check the data, when the data received is synchronized with the ongoing course schedule, the server computer will send the data to Raspberry and will be displayed on the LCD. which will occur from this research shares that the process of computerized honorarium management tends to be easier and management has a better level of accuracy than using manual methods. in terms of news, reports that are designed tend to be simpler and faster because they are automatically in accordance with the input data entered previously.
Identifikasi Pola Prilaku Belajar Mahasiswa Pada Platform Learning Management System Dengan Algoritma K-Means Muhammad Alam, Ridho; Hazriani, Hazriani; Latied Arda, Abdul; Ikhwan Mardin, Muhammad
Jurnal JEETech Vol. 6 No. 1 (2025): Nomor 1 May
Publisher : Universitas Darul Ulum

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32492/jeetech.v6i1.6102

Abstract

This study aims to explain students' behavior in accessing the kalam.umi.ac.id learning platform and its impact on student academic performance. It analyzes data collected from students' access to the platform during 12 sessions in one semester for the Islamic communication subject taught by Professor Surani. The data includes students' access times, access frequency, and academic performance such as assignment grades, midterm exams, and final exams. Through data processing methods, correlation analysis, and cluster optimization, the study found a positive relationship between access times, midterm exams, final exams, and assignments with students' final grades. The higher these variables, the higher the students' final grades. However, this relationship is not always consistent across different variables. In this study, the Elbow method was used to determine the optimal number of clusters by identifying the point where the variance reduction becomes less significant. Additionally, the Sum of Square Error (SSE) was analyzed to understand the sharp change followed by a gradual decrease in the value of K until stability is reached. Clustering results using the K-Means algorithm showed the presence of three student clusters based on their learning behavior. Cluster 0 is the largest, consisting of 176 students. Cluster 1 has 57 students, and cluster 2 is the smallest with 17 students. These clusters provide insights into varying student learning patterns, including differences in final grades and access frequency. These findings can be used as a basis for developing more effective and personalized learning strategies for students.
Rancang Bangun Tong Sampah Cerdas Menggunakan Suara Sebagai Media Informasi Berbasis Arduino Uno Nur Asia, Siti; Sofyan, Sofyan; Saleh, Husna; Ikhwan Mardin, Muhammad; Noor Fuad, M
Jurnal JEETech Vol. 6 No. 1 (2025): Nomor 1 May
Publisher : Universitas Darul Ulum

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32492/jeetech.v6i1.6108

Abstract

Garbage is one of the problems that we often encounter in the community. One of the factors causing the accumulation of garbage is the lack of public awareness to dispose of garbage in its place. In this problem, it is necessary to have a smart trash can using sound information media which includes Ultrasonic Sensors as distance detectors and trash volume detectors, Servos are used to control the trash can cover, Speakers are used as information media, DFPlayer mini is used as a voice recorder and microcontrollers are used as input data processors from the components used. The trash can cover will open and close automatically by detecting humans at a distance of ≤ 30 cm then detecting the height of the trash from the trash can cover ≤ 10 cm then the trash can is full then the trash can cover will not open and emit information in the form of sound. The method used in this study is the experimental method, namely by designing, assembling, and testing a smart trash can system based on Arduino Uno. Testing was conducted to evaluate the performance of the sensor, and the voice module in responding to the presence of objects in front of the trash can. This research is useful for the community because it can increase awareness in disposing of garbage in its place through an interactive approach in the form of sound, thus supporting the creation of a cleaner and more orderly environment. In addition, scientifically, this research contributes to the development of science and technology, especially in the field of hardware that can be used as a basis for similar innovations in various fields of life.
Co-Authors Abdul Malik Darmin Asri Ahmad, Andani Alwi, Juwitriani AM, Armadi As’ad, Muhammad Bambang Irawan /E21207042 Besse Dahlia Fuad, M. Noor Hazriani, Hazriani Husna Saleh Ibrahim, Muh. Siddik La Ode Muh. Armadi AM Latied Arda, Abdul Muhammad Alam, Ridho Noor Fuad, M Nur Asia, Siti Nur Hayati Saleh, Husna Sarni Alex Sandra Sofyan Sofyan Syawal, La Ode Muhamad Irwin Tamriesfatno, Sigrid Wa Ode Indang Wardi Wardi