Article Per Year (5 Year)
p-Index From 2021 - 2026
0.444
P-Index
This Author published in this journals
All Journal Jurnal Sains dan Teknologi Jurnal Krisnadana
I Putu Agus Eka Darma Udayana
Institut Bisnis dan Teknologi Indonesia, Denpasar, Indonesia
Computer Science & IT Control & Systems Engineering Education

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

Found 2 Documents
Search

 1 
Decision Support System for Proposing PIP Scholarship Recipients at SMKN 1 Borong Using TOPSIS Method Alberta Elita Epil; I Putu Agus Eka Darma Udayana; Ni Luh Putu Labasariyani; Putu Gede Surya Cipta Nugraha; Ni Putu Eka Kherismawati
Jurnal Krisnadana Vol 4 No 3 (2025): Jurnal Krisnadana May - July 2025
Publisher : Yayasan Sinergi Widya Nusantara (Sidyanusa)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58982/krisnadana.v4i3.905

Abstract

Decision support system is a computer-based system in solving management problems so as to produce the best alternative in making a decision. SMKN 1 Borong is a vocational high school located on Jl.Kihajar Dewantara, Satar Peot Village, Borong District, East Manggarai Regency, East Nusa Tenggara. The school was officially established on August 16, 2007 and currently has a total of 800 students. Based on the interview with Mr. Agustinus Galvan Dalory as the principal of SMK Negeri 1 Borong. SMK Negeri 1 Borong is one of the schools that receives the Indonesia Smart Program (PIP) scholarship assistance from the government. The school that handles this scholarship has difficulty selecting the names of scholarship recipients due to the large number of students. In addition, the selection of candidates for PIP scholarships at SMKN 1 Borong in assessing each criterion has not used a decision method. This can lead to errors in awarding the scholarship, resulting in inappropriate distribution of scholarships. To overcome these problems, a Decision Support System (SPK) is needed. One of the SPK methods that can be used is the Technique For Orders Preference By Similarity To Ideal Solution (TOPSIS) method. This method is used to select the best scholarship recipient from several prospective recipients who have their own advantages and disadvantages. The results of the decision support system are able to help the data management process and facilitate decision making.
Design and Construction of a SaaS-Based Multi-tenant Information System for Drone Activity Recording and Inventory I Wayan Juli Budiarta; Ida Bagus Ary Indra Iswara; I Made Sukafona; Ni Wayan Sumartini Saraswati; I Putu Agus Eka Darma Udayana
JST (Jurnal Sains dan Teknologi) Vol. 15 No. 1 (2026): April
Publisher : Universitas Pendidikan Ganesha

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23887/jst-undiksha.v15i1.106703

Abstract

Drone flight activity and inventory recording in uncrewed aerial vehicle (UAV) service providers is still dominated by manual methods and separate local systems. This condition risks recording errors and hinders operational data integration and access. This study aims to develop a SaaS-based multi-tenant information system for drone activity and inventory recording. This type of research is Research and Development with a Rapid Application Development (RAD) design. The research subjects included one drone company owner to inform the formulation of system requirements, while the researcher conducted trials independently using an access load simulation. Data were collected through interviews, observations, and literature reviews, with Apache JMeter as the testing tool and the stress testing method. Data analysis was conducted descriptively and qualitatively. The results of the study show the system is stable at low to medium loads and remains functional at high loads despite performance degradation. The study's conclusions indicate that the system can replace manual recording in web-based drone operational management. This study provides an overview of the application of a multi-tenant SaaS architecture to support centralized drone flight and inventory data management, while ensuring security and data isolation between organizations.
Co-Authors Alberta Elita Epil I Made Sukafona I Wayan Juli Budiarta Ida Bagus Ary Indra Iswara Ni Luh Putu Labasariyani Ni Putu Eka Kherismawati Putu Gede Surya Cipta Nugraha Saraswati, Ni Wayan Sumartini