Article Per Year (5 Year)
p-Index From 2021 - 2026
0.817
P-Index
This Author published in this journals
All Journal JUDIMAS (Jurnal Inovasi Pengabdian Kepada Masyarakat) INFOSYS (INFORMATION SYSTEM) JOURNAL TAMIKA: Jurnal Tugas Akhir Manajemen Informatika & Komputerisasi Akuntansi CSRID
Elsa Aditya
Universitas Potensi Utama
Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance

Published : 4 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 4 Documents
Search

 1 
Penentuan Kriteria Calon Penerima Beasiswa Dengan Algoritma C4.5 (Studi Kasus : Universitas Potensi Utama) Elsa Aditya; Rahmadani Siregar; Sofyan Rahmad
INFOSYS (INFORMATION SYSTEM) JOURNAL Vol 5, No 2 (2021): InfoSys Februari 2021
Publisher : Universitas Potensi Utama

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22303/infosys.5.2.2021.152-160

Abstract

Beasiswa pada dasarnya adalah pemberian berbentuk bantuan finansial yang diberikan bagi setiap orang yang memiliki kriteria tertentu demi tetap berlangsungnya pendidikan yang di tempuh. Metode Decision Tree sering digunakan untuk dijadikan pengambilan keputusan dalam suatu kasus. Pada penelitian ini, algoritma C4.5 digunakan untuk menentukan kriteria calon penerima beasiswa dengan cara menghitung jumlah entropy dan gain pada setiap atribut. Permasalahan yang terjadi pada penentuan kriteria penerima beasiswa adalah kurang efektifnya penentuan penerima beasiswa dikarenakan terdapat banyak faktor yang memperngaruhi apakah seseorang dapat memperoleh beasiswa atau tidak. Tujuan pembuatan penelitian ini adalah untuk mengetahui kriteria penentuan calon penerima beasiswa secara tepat. Penelitian ini dilakukan dengan menggunakan 30 (tiga puluh) sampel data mahasiswa calon penerima beasiswa. Berdasarkan hasil perhitungan persentase Correctly Classified Instance adalah sebesar 90% dan persentase Incorrectly Classified Instance adalah sebesar 10%. Pada perhitungan dengan algortima C4.5 ini, terdapat keputusan jika orang tua mahasiswa berpenghasilan rendah, maka mahasiswa dapat menerima beasiswa.
Training Introduction to Digital Image Processing Techniques in The Medical Field Rika Rosnelly; Linda Wahyuni; Hardianto Hardianto; Elsa Aditya
JUDIMAS Vol 3, No 1 (2022): JUDIMAS
Publisher : STMIK Pontianak

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30700/jm.v3i1.1282

Abstract

Malaria is a health problem in Asia, especially in Indonesia. Malaria is an infectious disease, through the bite of a female Anopheles mosquito. Data sourced from the Ministry of Health of the Republic of Indonesia, there are 261,671 cases of malaria in Indonesia, one hundred of which claimed human lives. There are 28% in Indonesia living in malaria endemic areas for low, medium and highlands. Medical examination takes a long time, one example for examination of malaria parasites is with a microscope. The examination microscope has a hundred fields of view. Digital image processing is an image manipulation process to get better image results. The stages begin with ROI (Region of Interest), image improvement, segmentation with Otsu thresholding, extraction of shape and texture features and classification using LVQ. Digital image processing can help in the medical field, especially for disease identification.
IoT-Based Seaweed Cultivation Monitoring System with Data Transmission Protection Using JSON Web Token (JWT) on ESP32 Iwan Fitrianto Rahmad; Yudho Andika; Vidi Agung Fragastia; Elsa Aditya
CSRID (Computer Science Research and Its Development Journal) Vol. 18 No. 1 (2026): Februari 2026
Publisher : LPPM Universitas Potensi Utama

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22303/csrid-.18.1.2026.18-31

Abstract

Security in the communication of IoT devices is a critical concern in seaweed cultivation monitoring systems, particularly when operating over open networks. This study presents the design and implementation of an IoT-based monitoring system for seaweed cultivation, incorporating data transmission protection on the ESP32 device through the use of JSON Web Token (JWT). The system monitors key parameters influencing seaweed growth—such as temperature, salinity, pH, and turbidity—and transmits this data to a server via HTTP/HTTPS protocols. JWT is employed for authentication and authorization, ensuring that only legitimate devices are permitted to send data to the server. The research methodology encompasses requirement analysis, system architecture design, hardware and software implementation, followed by functionality, security, and performance testing. Experimental results demonstrate that the proposed system successfully acquires sensor data and transmits it in real time to the server, while effectively rejecting unauthorized attempts lacking valid tokens. The application of JWT significantly enhances communication security with minimal impact on ESP32 performance. Overall, the proposed IoT-based Seaweed Cultivation Monitoring System with JWT protection provides an effective solution for safeguarding data integrity and authenticity in seaweed farming applications.
Sistem Pendukung Keputusan untuk Penentuan Siswa Lulus dengan Predikat Terbaik di SMA Negeri 9 Medan Menggunakan Metode SAW Muhammad Zidane; Elsa Aditya
TAMIKA: Jurnal Tugas Akhir Manajemen Informatika & Komputerisasi Akuntansi Vol 6 No 1 (2026): TAMIKA: Jurnal Tugas Akhir Manajemen Informatika & Komputerisasi Akuntansi
Publisher : Universitas Methodist Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46880/tamika.Vol6No1.pp104-111

Abstract

Determining the best graduating students at SMA Negeri 9 Medan has been carried out without an automated system and tends to focus more on academic aspects, potentially leading to subjectivity, inefficiency, and errors in the assessment process. Furthermore, non-academic criteria have not been optimally integrated in the decision-making process. Therefore, this study aims to design and develop a decision support system that can determine the best graduating students objectively, structured, and transparently using SAW. The SAW method is used to process student data based on a number of predetermined academic and non-academic criteria with certain weights. The system was developed using the PHP programming language with a MySQL database. The data used in this study were student assessment data at SMA Negeri 9 Medan for the 2024 academic year. The results of the system's calculations were compared with manual calculations to test the system's accuracy. The trial results showed that the implemented decision support system produced the same preference value as the manual calculation, namely 0.95 for students with the best predicate. The system's accuracy level reached 100%, indicating that the system is capable of implementing the SAW method appropriately. Thus, this system can help schools determine which students graduate with the best grades more efficiently, accurately, and responsibly.
Co-Authors Fragastia, Vidi Agung Hardianto Hardianto Iwan Fitrianto Rahmad Linda Wahyuni Muhammad Zidane Rahmadani Siregar Rika Rosnelly Sofyan Rahmad Yudho Andika