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BILANGAN RAMSEY MULTIPARTIT UKURAN UNTUK GRAF POHON DAN GRAF LINTASAN Yerti Syahraini Putri; Effendi Effendi; Syafrizal Sy
JURNAL SAINTIKA UNPAM Vol 3, No 2 (2021)
Publisher : Program Studi Matematika FMIPA Universitas Pamulang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32493/jsmu.v3i2.6675

Abstract

Misalkan j,l,n,s dan t adalah bilangan-bilangan asli dengan n,s≥2 dan j,l,t≥1 maka bilangan Ramsey multipartit ukuran m_j (K_(n×l),K_(s×t) )  adalah bilangan asli terkecil ξ sedemikian sehingga sebarang pewarnaan dari semua sisi K_(j×ξ)  menggunakan dua warna merah dan biru, akan selalu berlaku bahwa K_(j×ξ) memuat K_(n×l)  merah atau K_(s×t) biru sebagai subgraf. Untuk sebarang graf G dan H, j≥2 adalah bilangan bulat, bilangan Ramsey multipartit ukuran m_j (G,H)  adalah bilangan asli terkecil ξ sedemikian sehingga setiap faktorisasi dari graf K_(j×ξ)≔F_1⊕F_2 memenuhi kondisi berikut:  F_1 memuat subgraf G atau F_2 memuat subgraf H. Dalam makalah ini, akan ditentukan nilai-nilai dari bilangan Ramsey multipartit ukuran m_j (T_n,P_3 )  untuk j≥3. Hasil pada penelitian ini menunjukkan bahwa bilangan Ramsey multipartit ukuran untuk graf pohon dan graf lintasan, untuk sebarang bilangan bulat positif n dan j≥3, yaitu m_3 (T_n,P_3 )=⌈n/3⌉, m_4 (T_n,P_3 )=⌈n/4⌉, dan m_3 (T_j,P_3 )=⌈n/j⌉.
Bilangan Kromatik Lokasi Graf Tentakel Azizah Riana Putri; Syafrizal Sy; Monika Rianti Helmi
Limits: Journal of Mathematics and Its Applications Vol. 22 No. 2 (2025): Limits: Journal of Mathematics and Its Applications Volume 22 Nomor 2 Edisi Ju
Publisher : Pusat Publikasi Ilmiah LPPM Institut Teknologi Sepuluh Nopember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/limits.v22i2.3462

Abstract

The locating-chromatic number of a graph was introduced by Chartrand et al. in 2002, which is a combined concept between the vertex coloring and partition dimension of a graph. The locating-chromatic number of a graph is a grouping of vertices on a graph based on color, which is called a color class, provided that each vertex on the graph has a different color code. Determining the locating-chromatic number of a graph is done by constructing the lower and upper bound of the locating-chromatic number of the graph. In this paper, we determine the locating-chromatic number of the tentacle graph, which is denoted by T_(k,m,n). Tentacle Graph is a graph constructed from a triangular book graph Bt_n whose common edge is amalgamated with C_k. Then two vertices in C_k that are adjacent to the vertex associated with the terminal edge are amalgamated with the star graphs S_(n_1) and S_(n_2). By determining the lower and upper bounds of the location chromatic number, it is obtained that the location chromatic number of Tentacle Graph is 4, m=1,n=2, n+1, for m>=1, n>= m + 2, and m + 2, for m > 1, n < m + 2.
RAINBOW CONNECTION NUMBERS IN GRAPHS: A COMPREHENSIVE STUDY Gema Hista Medika; Syafrizal Sy; Muhafzan Muhafzan; Zulfaneti Zulfaneti
Math Educa Journal Vol 10, No 1 (2026)
Publisher : UIN Imam Bonjol Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15548/mej.v10i1.13681

Abstract

The rainbow connection number is a graph parameter that integrates edge colouring and graph connectivity. A connected graph is said to be rainbow connected if every pair of vertices is joined by a path whose edges have distinct colours, and the rainbow connection number represents the minimum number of colours required to satisfy this property. This study aims to provide a comprehensive and systematic analysis of research developments related to rainbow connection numbers in graphs. The method employed is a systematic literature review of reputable international journals and nationally accredited publications. The analysis covers fundamental definitions, known values for various classes of graphs, relationships with structural parameters such as diameter, minimum degree, and connectivity, as well as computational complexity and several important variants, including strong rainbow connection, rainbow vertex-connection, and total rainbow connection. The results indicate that the rainbow connection number is strongly influenced by graph structure, with diameter serving as a natural lower bound and connectivity contributing to tighter upper bounds. Furthermore, determining the exact value for general graphs is computationally intractable, motivating the use of approximation and heuristic approaches. This study also identifies research gaps, particularly in algorithmic development and the analysis of complex graph class, and highlights potential applications in communication networks and network security.
Eksistensi dan Keunikan dalam Pengendalian LQ Berhorison Tak Terbatas Melalui Analisis Riccati Berbasis Sontag Budi Rudianto; Muhafzan Muhafzan; Mahdhivan Syafwan; Syafrizal Sy
Mandalika Mathematics and Educations Journal Vol 8 No 1 (2026): Edisi Maret
Publisher : FKIP Universitas Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jm.v8i1.10782

Abstract

This paper examines the existence and uniqueness of solutions to Linear Quadratic (LQ) optimal control problems with infinite time horizons in time-varying dynamic systems. By extending Sontag's Theorem to semi-infinite intervals, the properties of The Riccati Differential Equation’s solutions are analyzed under assumptions of essential boundedness and boundedness of the system matrix and cost weights. It is proven that the Riccati matrix solution P(t) exists globally, remains positive definite, and converges to the steady-state limit P∞. The uniqueness of the optimal control–state pair (x,u) is obtained through P(t)-based co-state analysis. Simulations on satellite attitude control systems demonstrate convergence and robustness towards periodic disturbances, supporting applications in adaptive control, robust estimation, and time-varying filtering.