Article Per Year (5 Year)
p-Index From 2020 - 2025
0.444
P-Index
This Author published in this journals
All Journal Brahmana : Jurnal Penerapan Kecerdasan Buatan PERFECT: Journal of Smart Algorithms
Aritonang, Romulo P.
Unknown Affiliation
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Education Electrical & Electronics Engineering Engineering Library & Information Science

Published : 2 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 2 Documents
Search

 1 
Analisis Perbandingan Sistem Pendukung Keputusan Metode SMART Dengan SAW Dalam Menentukan Penerima Beasiswa Yayasan Andani, Sundari Retno; Sumarlin, S; Aritonang, Romulo P.
Brahmana : Jurnal Penerapan Kecerdasan Buatan Vol 6, No 1 (2024): Edisi Desember
Publisher : LPPM STIKOM Tunas Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/brahmana.v6i1.576

Abstract

Foundation scholarships are an effective way to reduce the number of students dropping out of college. Foundation scholarships are funding for tuition fees by foundations for underprivileged but outstanding students. In determining objective scholarship recipients, a decision support system is needed. In this case, the author applies the SMART (Simple Multi Attribute rating Technique) and SAW (Simple Additive Weighting) methods. The criteria used in determining scholarship recipients are the Grade Point Average (GPA), parental income and number of dependents. To obtain the final result in the form of a ranking of scholarship recipients, a calculation is carried out using the SMART and SAW methods, then the results will be carried out a comparative analysis of the two methods.
Real-Time Classification of Local Orange Fruit Quality Using YOLO (You Only Look Once) and SVM (Support Vector Machine) Methods Harahap, Muhammad Khoiruddin; Candra, Rudi Arif; Budiansyah, Arie; Aritonang, Romulo P.; Zulfan, Zulfan; Saputra, Devi Satria
PERFECT: Journal of Smart Algorithms Vol. 2 No. 2 (2025): PERFECT: Journal of Smart Algorithms, Article Research July 2025
Publisher : LEMBAGA KAJIAN PEMBANGUNAN PERTANIAN DAN LINGKUNGAN (LKPPL)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62671/perfect.v2i2.55

Abstract

Oranges are a fruit that we often encounter and are even consumed by people because of their various benefits. Oranges have commercial value in Indonesia and have a fairly wide reach. In order to increase competitiveness, oranges must also meet market standards, both domestic and foreign, so that they can be accepted by consumers. Of course, in this case, orange selection is very important. increasing sales and market competition by sellers, important indicators in selecting citrus fruit are in terms of size and color. In general, the selection of citrus fruit is done manually and based on human thinking, which causes several weaknesses that must be corrected, including requiring a long time, human visual limitations, and being influenced by human psychology itself. This is what causes inconsistencies in selection. oranges and does not comply with existing market requirements. So a research was carried out regarding the quality classification of local citrus fruit using the YOLO (You Only Look Once) and SVM (Support Vector Machine) methods in real time. In the comparison made between the two methods used, Yolo was found to be the best method for classifying citrus fruit.
Co-Authors . Zulfan Arie Budiansyah Candra, Rudi Arif Muhammad Khoiruddin Harahap Saputra, Devi Satria Sumarlin, S Sundari Retno Andani