Article Per Year (5 Year)
p-Index From 2021 - 2026
0.61
P-Index
This Author published in this journals
All Journal BAREKENG: Jurnal Ilmu Matematika dan Terapan Jurnal Kajian Bimbingan dan Konseling
Palupi, Ratnaning
Unknown Affiliation
Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Energy Engineering Mathematics Mechanical Engineering Physics Social Sciences Transportation Other

Published : 3 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 3 Documents
Search

 1 
THE SAMPLE SCHEDULING APPLICATION OF THE ANT COLONY OPTIMIZATION ALGORITHM IN VEHICLE ROUTING PROBLEM TO FIND THE SHORTEST ROUTE Mahfudhotin, Mahfudhotin; Palupi, Ratnaning
BAREKENG: Jurnal Ilmu Matematika dan Terapan Vol 18 No 1 (2024): BAREKENG: Journal of Mathematics and Its Application
Publisher : PATTIMURA UNIVERSITY

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30598/barekengvol18iss1pp0643-0656

Abstract

In this collaborative research initiative with the Research Center and Industry Standardization in Surabaya, the primary objective is to obtain Indonesian National Standard certificates through the collection of samples from companies in East Java. The focal challenge revolves around the optimization of delivery routes for vehicles with specific capacities, constituting the Vehicle Routing Problem (VRP), and is addressed through the application of the Ant Colony Optimization (ACO) algorithm. The study confronts constraints, including the limitation of time and resources during the sample collection process, and grapples with challenges associated with travel distances that impact overall efficiency. The utilization of Sample Scheduling software (Si Dull) developed in Visual Basic introduces configurational constraints for route planning with the aim of minimizing distances. The overarching aim is to implement the ACO algorithm, culminating in the development of the Si Dull application, to elevate the efficacy of the sample collection process for industrial certification in Surabaya, thereby contributing to enhanced efficiency in travel distances for sample collection endeavors
THE RAINBOW VERTEX-CONNECTION NUMBERS OF WHEEL-SHIELD GRAPHS Palupi, Ratnaning; Salman, A. N. M.
BAREKENG: Jurnal Ilmu Matematika dan Terapan Vol 19 No 4 (2025): BAREKENG: Journal of Mathematics and Its Application
Publisher : PATTIMURA UNIVERSITY

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30598/barekengvol19iss4pp2377-2390

Abstract

Let be a nontrivial simple connected graph, be an edge of and be an integer greater than or equal to . A path of order , denoted by , is a graph whose vertices can be labelled such that . A -shield graph is a graph obtained by and copies of such that the edge of -th embedded to -th edge of by embedding to and to . A path in a vertex-colored graph is said to be rainbow-vertex path if every internal vertex in the path has different color. A vertex-colored graph is said to be rainbow-vertex connected if for every pair of vertices there exists a rainbow-vertex path connecting them. The rainbow- vertex connection number of , denoted by , is the minimum colors needed to make rainbow-vertex connected. In this paper, we determine the rainbow-vertex connection numbers of of wheel-shield graphs , specifically finding that the number ranges from to depending on the order of the wheel.
Publication trends in Counselling and Artificial Intelligence: A Bibliometric Analysis Hadi, Musthofa; Utami, Rachma Bhakti; Palupi, Ratnaning; Nikmah, Farika; Santoso, Eko Boedi
Jurnal Kajian Bimbingan dan Konseling Vol. 10, No. 1
Publisher : citeus

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Current developments in counseling show significant improvements, especially with the increasingly deeper integration of artificial intelligence (AI). This research focuses on analyzing research development trends in counseling and artificial intelligence, with data collected from Scopus-indexed publications from the beginning of 1982 to 2024. From this period, 470 relevant articles were identified for further analysis. The analysis process is carried out using bibliometric methods with PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) framework, with the help of R-Biblioshiny software, which allows in-depth analysis of patterns and trends in the literature. The analysis results show that this topic has experienced a significant increase in articles published, with an average annual growth of 11.59%. In addition, this topic also shows a reasonably high citation rate, with an average of 10.81 citations per article, indicating substantial influence in the academic community. Despite this, some areas are still not fully explored, such as artificial intelligence's role in decision-making in counseling, which represents a new and exciting niche for further research. Hopefully, this research will provide additional insights and encourage further research exploring the full potential of integrating artificial intelligence in counseling.
Co-Authors Mahfudhotin, Mahfudhotin Musthofa Hadi, Musthofa Nikmah, Farika Rachma Bhakti Utami Salman, A. N. M. Santoso, Eko Boedi