Kristiana Wijaya
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Previous Organizations / Institutes
The organizations / institutes from the scholar's other articles in the past ten years
Research Subjects
Research Interests
Kristiana Wijaya has a total of 30 co-authors. Here are the top co-authors by number of shared publications:
- Edy Tri Baskoro
Bandung Institute of Technology
8 shared publications - Djoko Suprijanto
Combinatorial Mathematics Research Group, Faculty of Mathematics and Natural Sciences, Institut Teknologi Bandung, Bandung, Indonesia
5 shared publications - Hilda Assiyatun
Combinatorial Mathematics Research Group, Faculty of Mathematics and Natural Sciences, Institut Teknologi Bandung, Jalan Ganesa 10, Bandung 40132, Indonesia
4 shared publications Ikhsanul Halikin
Graph and Algebra Research Group Department of Mathematics, Faculty of Mathematics and Natural Sciences, Universitas Jember
4 shared publications- Slamin
Faculty of Computer Science, University of Jember, Jember, Indonesia
3 shared publications Djoko Suprijanto
Combinatorial Mathematics Research Group, Faculty of Mathematics and natural Sciences, Institut Teknologi Bandung (ITB), Jalan Ganesa 10 Bandung 40132 Indonesia
2 shared publications
Latest Publications
- Open Access
- 30 March 2024
- Published by Universitas Muhammadiyah Mataram in JTAM (Jurnal Teori dan Aplikasi Matematika)
- Vol. 8 (2) , 568-577
An Inclusive Distance Irregularity Strength of n-ary Tree
An Inclusive Distance Irregularity Strength of n-ary Tree
- 30 March 2024
- Published by Universitas Muhammadiyah Mataram in JTAM (Jurnal Teori dan Aplikasi Matematika)
- Vol. 8 (2) , 568-577
Open AccessAn Inclusive Distance Irregularity Strength of n-ary Tree
An Inclusive Distance Irregularity Strength of n-ary Tree
- Open Access
- 19 March 2024
- Published by Lembaga Penelitian dan Pengabdian kepada Masyarakat ITS in Limits: Journal of Mathematics and Its Applications
- Vol. 21 (1) , 1-12
Pelabelan Koprima Pada Amalgamasi Graf Lengkap dan Graf Berlian
Pelabelan Koprima Pada Amalgamasi Graf Lengkap dan Graf Berlian
- 19 March 2024
- Published by Lembaga Penelitian dan Pengabdian kepada Masyarakat ITS in Limits: Journal of Mathematics and Its Applications
- Vol. 21 (1) , 1-12
Open AccessPelabelan Koprima Pada Amalgamasi Graf Lengkap dan Graf Berlian
Pelabelan Koprima Pada Amalgamasi Graf Lengkap dan Graf Berlian
- Open Access
- 15 December 2022
- Published by Universitas Pattimura in BAREKENG: Jurnal Ilmu Matematika dan Terapan
- Vol. 16 (4) , 1131-1138
THE HARMONIOUS, ODD HARMONIOUS, AND EVEN HARMONIOUS LABELING
Suppose is a simple and connected graph with edges. A harmonious labeling on a graph is an injective function so that there exists a bijective function where for each An odd harmonious labeling on a graph is an injective function from to non-negative integer set less than so that there is a function where for every An even harmonious labeling on a graph is an injective function so that there is a bijective function where for each . In this paper, we discuss how to build new labeling (harmonious, odd harmonious, even harmonious) based on the existing labeling (harmonious, odd harmonious, even harmonious)
- 15 December 2022
- Published by Universitas Pattimura in BAREKENG: Jurnal Ilmu Matematika dan Terapan
- Vol. 16 (4) , 1131-1138
Open AccessTHE HARMONIOUS, ODD HARMONIOUS, AND EVEN HARMONIOUS LABELING
Suppose is a simple and connected graph with edges. A harmonious labeling on a graph is an injective function so that there exists a bijective function where for each An odd harmonious labeling on a graph is an injective function from to non-negative integer set less than so that there is a function where for every An even harmonious labeling on a graph is an injective function so that there is a bijective function where for each . In this paper, we discuss how to build new labeling (harmonious, odd harmonious, even harmonious) based on the existing labeling (harmonious, odd harmonious, even harmonious)
- 8 February 2022
- Published by Atlantis Press SARL
- p. 1-4
On Ramsey Minimal Graphs for a 3-Matching Versus a Path on Five Vertices
- 8 February 2022
- Published by Atlantis Press SARL
- p. 1-4
On Ramsey Minimal Graphs for a 3-Matching Versus a Path on Five Vertices
- 1 January 2022
- Published by AGH University Press in Opuscula Mathematica
- Vol. 42 (3) , 439-458
Distance irregularity strength of graphs with pendant vertices
A vertex \(k\)-labeling \(\phi:V(G)\rightarrow\{1,2,\dots,k\}\) on a simple graph \(G\) is said to be a distance irregular vertex \(k\)-labeling of \(G\) if the weights of all vertices of \(G\) are pairwise distinct, where the weight of a vertex is the sum of labels of all vertices adjacent to that vertex in \(G\). The least integer \(k\) for which \(G\) has a distance irregular vertex \(k\)-labeling is called the distance irregularity strength of \(G\) and denoted by \(\mathrm{dis}(G)\). In this paper, we introduce a new lower bound of distance irregularity strength of graphs and provide its sharpness for some graphs with pendant vertices. Moreover, some properties on distance irregularity strength for trees are also discussed in this paper.- 1 January 2022
- Published by AGH University Press in Opuscula Mathematica
- Vol. 42 (3) , 439-458
Distance irregularity strength of graphs with pendant vertices
A vertex \(k\)-labeling \(\phi:V(G)\rightarrow\{1,2,\dots,k\}\) on a simple graph \(G\) is said to be a distance irregular vertex \(k\)-labeling of \(G\) if the weights of all vertices of \(G\) are pairwise distinct, where the weight of a vertex is the sum of labels of all vertices adjacent to that vertex in \(G\). The least integer \(k\) for which \(G\) has a distance irregular vertex \(k\)-labeling is called the distance irregularity strength of \(G\) and denoted by \(\mathrm{dis}(G)\). In this paper, we introduce a new lower bound of distance irregularity strength of graphs and provide its sharpness for some graphs with pendant vertices. Moreover, some properties on distance irregularity strength for trees are also discussed in this paper.- Open Access
- 28 December 2021
- Published by UPT Penerbitan Universitas Jember in Indonesian Journal of Combinatorics
- Vol. 5 (2) , 94-101
Odd Harmonious Labeling of Pn ⊵ C4 and Pn ⊵ D2(C4)
A graph G with q edges is said to be odd harmonious if there exists an injection f:V(G) → ℤ2q so that the induced function f*:E(G)→ {1,3,...,2q-1} defined by f*(uv)=f(u)+f(v) is a bijection.Here we show that graphs constructed by edge comb product of path Pn and cycle on four vertices C4 or shadow of cycle of order four D2(C4) are odd harmonious.
- 28 December 2021
- Published by UPT Penerbitan Universitas Jember in Indonesian Journal of Combinatorics
- Vol. 5 (2) , 94-101
Open AccessOdd Harmonious Labeling of Pn ⊵ C4 and Pn ⊵ D2(C4)
A graph G with q edges is said to be odd harmonious if there exists an injection f:V(G) → ℤ2q so that the induced function f*:E(G)→ {1,3,...,2q-1} defined by f*(uv)=f(u)+f(v) is a bijection.Here we show that graphs constructed by edge comb product of path Pn and cycle on four vertices C4 or shadow of cycle of order four D2(C4) are odd harmonious.
- Open Access
Another Antimagic Conjecture
An antimagic labeling of a graph G is a bijection such that the weights distinguish all vertices. A well-known conjecture of Hartsfield and Ringel (1990) is that every connected graph other than admits an antimagic labeling. For a set of distances D, a D-antimagic labeling of a graph G is a bijection such that the weight is distinct for each vertex x, where is the D-neigbourhood set of a vertex x. If , for every vertex x in G, a graph G is said to be -regular. In this paper, we conjecture that a graph admits a D-antimagic labeling if and only if it does not contain two vertices having the same D-neighborhood set. We also provide evidence that the conjecture is true. We present computational results that, for , all graphs of order up to 8 concur with the conjecture. We prove that the set of -regular D-antimagic graphs is closed under union. We provide examples of disjoint union of symmetric -regular that are D-antimagic and examples of disjoint union of non-symmetric non--regular graphs that are D-antimagic. Furthermore, lastly, we show that it is possible to obtain a D-antimagic graph from a previously known distance antimagic graph.Open AccessAnother Antimagic Conjecture
An antimagic labeling of a graph G is a bijection such that the weights distinguish all vertices. A well-known conjecture of Hartsfield and Ringel (1990) is that every connected graph other than admits an antimagic labeling. For a set of distances D, a D-antimagic labeling of a graph G is a bijection such that the weight is distinct for each vertex x, where is the D-neigbourhood set of a vertex x. If , for every vertex x in G, a graph G is said to be -regular. In this paper, we conjecture that a graph admits a D-antimagic labeling if and only if it does not contain two vertices having the same D-neighborhood set. We also provide evidence that the conjecture is true. We present computational results that, for , all graphs of order up to 8 concur with the conjecture. We prove that the set of -regular D-antimagic graphs is closed under union. We provide examples of disjoint union of symmetric -regular that are D-antimagic and examples of disjoint union of non-symmetric non--regular graphs that are D-antimagic. Furthermore, lastly, we show that it is possible to obtain a D-antimagic graph from a previously known distance antimagic graph. - Open Access
Local Super Antimagic Total Labeling for Vertex Coloring of Graphs
Let be a graph with vertex set V and edge set E. A local antimagic total vertex coloring f of a graph G with vertex-set V and edge-set E is an injective map from to such that if for each then , where . If the range set f satisfies , then the labeling is said to be local super antimagic total labeling. This labeling generates a proper vertex coloring of the graph G with the color assigning the vertex v. The local super antimagic total chromatic number of graph G, is defined as the least number of colors that are used for all colorings generated by the local super antimagic total labeling of G. In this paper we investigate the existence of the local super antimagic total chromatic number for some particular classes of graphs such as a tree, path, cycle, helm, wheel, gear, sun, and regular graphs as well as an amalgamation of stars and an amalgamation of wheels.Open AccessLocal Super Antimagic Total Labeling for Vertex Coloring of Graphs
Let be a graph with vertex set V and edge set E. A local antimagic total vertex coloring f of a graph G with vertex-set V and edge-set E is an injective map from to such that if for each then , where . If the range set f satisfies , then the labeling is said to be local super antimagic total labeling. This labeling generates a proper vertex coloring of the graph G with the color assigning the vertex v. The local super antimagic total chromatic number of graph G, is defined as the least number of colors that are used for all colorings generated by the local super antimagic total labeling of G. In this paper we investigate the existence of the local super antimagic total chromatic number for some particular classes of graphs such as a tree, path, cycle, helm, wheel, gear, sun, and regular graphs as well as an amalgamation of stars and an amalgamation of wheels. - Open Access
Subdivision of graphs in R ( m K 2 , P 4 )
- Open Access
- 1 May 2020
- Published by IOP Publishing in Journal of Physics: Conference Series
- Vol. 1538 (1) , 012013
Application of the local antimagic total labeling of graphs to optimise scheduling system for an expatriate assignment
An expatriate assignment at the branch company in other country must be optimised due to the short term duty. Accuracy calculation is needed to optimise the expatriate assignment including its scheduling system. There are many ways and methods to optimise the scheduling system. One of the methods is making use of graph theory instruments such as local antimagic total labeling. The local antimagic total labeling of a graph is a map from the set of vertices and edges of the graph to the set of positive integers from 1 to the number of vertices and edges such that the weight of two adjacent vertices are different. The vertex weight is calculated by adding the labels of the vertex and all edges incident to it. In this paper, this labeling is applied to optimise the scheduling system for the expatriate assignment. This system can be modelled by a graph where the assignments are represented by vertices and connection between the assignments are represented by edges. The represented graph is then labelled by the local antimagic total labeling in order to obtain the minimum number of different vertex weights. The such number is equivalent to the optimal time allocated for the expatriate assignment.
- 1 May 2020
- Published by IOP Publishing in Journal of Physics: Conference Series
- Vol. 1538 (1) , 012013
Open AccessApplication of the local antimagic total labeling of graphs to optimise scheduling system for an expatriate assignment
An expatriate assignment at the branch company in other country must be optimised due to the short term duty. Accuracy calculation is needed to optimise the expatriate assignment including its scheduling system. There are many ways and methods to optimise the scheduling system. One of the methods is making use of graph theory instruments such as local antimagic total labeling. The local antimagic total labeling of a graph is a map from the set of vertices and edges of the graph to the set of positive integers from 1 to the number of vertices and edges such that the weight of two adjacent vertices are different. The vertex weight is calculated by adding the labels of the vertex and all edges incident to it. In this paper, this labeling is applied to optimise the scheduling system for the expatriate assignment. This system can be modelled by a graph where the assignments are represented by vertices and connection between the assignments are represented by edges. The represented graph is then labelled by the local antimagic total labeling in order to obtain the minimum number of different vertex weights. The such number is equivalent to the optimal time allocated for the expatriate assignment.