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All Journal Journal Global Technology Computer Journal Of Computer Engineering And Information Technology
Peranginangin, Sinek Mehuli Br
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Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Electrical & Electronics Engineering Engineering Mechanical Engineering

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Enhancing System Security Through NFC (Near Field Communication) Technology Siregar, Alviansyah; Ramadani, Anggun; Ramadhani, Dhea; Gultom, Joel Erwin; Peranginangin, Sinek Mehuli Br; Ginting, Meiliyani Br
JCEIT: Journal of Computer Engineering and Information Technology Vol. 1 No. 1: JCEIT: Journal of Computer Engineering and Information Technology (November 2024)
Publisher : Karya Techno Solusindo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.64810/jceit.v1i1.6

Abstract

Abstract: A safe is a tool used to store valuables such as money, jewelry, securities, and so on. The crime rate is increasingly high in this country, especially the crime rate of theft, which encourages people to create safes with extra security systems. To achieve a security system that has double or layered security requires sophisticated technology. The technology used in this safe security system uses NFC (Near Field Communication), keypad. By using NFC as a card reader, a special password has been given which can only be read by NFC. Meanwhile, using an Arduino Uno as a microcontroller and a password to access the safe door is very difficult to duplicate. Keywords: NFC, Near Field Communication, Arduino Uno, Security System REFERENCES Aisuwarya, R., Putra, R. A., & Fatimah, F. (2023). Near Field Communication (NFC) Untuk Sistem Recording Data. Duha, T. (2022). Sistem Informasi Penjualan Berbasis Web. Penerbit Qiara Media. Hadiatullah, D. R. (2023). Employee Presence Design Based on Near Field Communication (Nfc). J-Icon: Jurnal Komputer Dan Informatika, 11(1), 7–13. Musman, A. (2021). Berdamai dengan Efek Negatif Medsos: Cara Terhebat untuk Terbebas dari Online Bullying, FOMO, atau Hoaks dengan Membiasakan Kebiasaan Baik di Media Sosial. Anak Hebat Indonesia. Muthohir, M., & Prayogi, S. (2021). Prototype Sistem Keamanan Brankas Menggunakan Teknologi RFID Berbasis Arduino Uno. Jurnal Manajemen Informatika & Teknologi, 1(2), 97–106. Raudiah, M., & Elfizon, E. (2020). Perancangan Keamanan Brangkas Berbasis Arduino dan Android. JTEIN: Jurnal Teknik Elektro Indonesia, 1(2), 246–250. Saptono, M. P., & Sumbiaganan, A. (2020). Lpg Gas Leakage Prototype Based on Atmega328 and Lcd Microcontroller As Information Media. Electro Luceat, 6(1), 82–92. Sari, W. E., & Syahwin, S. (2022). Prototipe Sistem Keamanan Brankas Berbasis Arduino Menggunakan Android. Sudo Jurnal Teknik Informatika, 1(4), 154–162.
Penerapan Data Mining untuk Mengukur Prestasi Kinerja Dosen dengan Menggunakan Algoritma C4.5 Sihotang, Ester Ulina; Ginting, Gogor Abiezer; Dahlia, Icha; Amanda, Rizka; Sembiring, David JM; Peranginangin, Sinek Mehuli Br
Journal Global Technology Computer Vol 4 No 3 (2025): Agustus 2025
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/jogtc.v4i3.8355

Abstract

Lecturer performance is an important factor in improving the quality of higher education, because lecturers not only act as educators, but also as researchers and community service. However, lecturer performance assessment often faces obstacles, such as the lack of uniform evaluation standards, a tendency for subjectivity in assessments, and limited evaluation instruments capable of assessing performance comprehensively. To overcome these problems, a data-driven approach is needed that can provide objective and measurable analysis results. One method that can be used is data mining with the C4.5 algorithm, which is a decision tree-based classification algorithm. This study aims to apply the C4.5 algorithm to measure lecturer performance achievements based on historical data that includes various indicators of the tridharma of higher education. The research stages include problem identification, literature review, data collection, selection of analysis techniques, implementation of the C4.5 algorithm with the help of RapidMiner software, and analysis of test results. The resulting classification model is visualized in the form of a decision tree so that it is easy to understand and can be used as a basis for evaluation. The test results show that the C4.5 algorithm is able to produce a classification model with an accuracy level of 86.67%. This demonstrates that C4.5 is effective in processing lecturer performance data and producing more objective and transparent evaluations, while also reducing the potential for subjectivity in assessments. This research provides a strategic contribution to supporting managerial decision-making in higher education, particularly in formulating policies for improving the quality of education and sustainable professional development of lecturers.
Co-Authors AMANDA, RIZKA Dahlia, Icha Ginting, Gogor Abiezer Gultom, Joel Erwin Meiliyani Br Ginting, Meiliyani Br Ramadani, Anggun Ramadhani, Dhea Sembiring, David JM Sihotang, Ester Ulina Siregar, Alviansyah