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All Journal Science and Technology Indonesia JMPM: Jurnal Matematika dan Pendidikan Matematika BAREKENG: Jurnal Ilmu Matematika dan Terapan Jambura Journal of Mathematics Jurnal Hilirisasi IPTEKS (JHI) Eksakta : Berkala Ilmiah Bidang MIPA Indonesian Journal of Combinatorics Jurnal Matematika UNAND Jurnal Lebesgue : Jurnal Ilmiah Pendidikan Matematika, Matematika dan Statistika Jurnal Natural
Yulianti, Lyra
Department Of Mathematics And Data Science, Faculty Of Mathematics And Natural Sciences, Universitas Andalas, Indonesia
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Journal : Jurnal Natural

 1 
The Classification of “Program Sembako” recipients in Payobasung West Sumatra based on the K-nearest neighbors classifier HAZMIRA YOZZA; NINDI MAULA AZIZAH; LYRA YULIANTI; IZZATI RAHMI
Jurnal Natural Volume 23 Number 2, June 2023
Publisher : Universitas Syiah Kuala

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24815/jn.v23i2.29738

Abstract

The "Sembako Program" is a program carried out by the Indonesian government to improve the welfare of low-income communities. The purposes of this study are: (a) to determine the classification of households that deserve to receive basic-food assistance in Koto Panjang Payobasung, West Sumatra, using the KNN classifier and (b) to determine the optimal number of nearest neighbors used in the classification process. The measure of proximity between objects used is the Gower dissimilarity coefficient. This research used primary data consisting of 175 households collected purposively in a survey conducted on all households in Payobasung.  The optimal K value is determined by implementing a 5-fold cross-validation procedure. The result showed that the best classification process is when K = 3 nearest neighbors are used since it produces the highest accuracy coefficient and Mattews correlation coefficient (MCC). Therefore, for further work, in deciding the eligibility of a household to receive the Sembako Program in Payobasung, KNN can be used by considering its 3 nearest neighbors
The Classification of “Program Sembako” recipients in Payobasung West Sumatra based on the K-nearest neighbors classifier HAZMIRA YOZZA; NINDI MAULA AZIZAH; LYRA YULIANTI; IZZATI RAHMI
Jurnal Natural Volume 23 Number 2, June 2023
Publisher : Universitas Syiah Kuala

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24815/jn.v23i2.29738

Abstract

The "Sembako Program" is a program carried out by the Indonesian government to improve the welfare of low-income communities. The purposes of this study are: (a) to determine the classification of households that deserve to receive basic-food assistance in Koto Panjang Payobasung, West Sumatra, using the KNN classifier and (b) to determine the optimal number of nearest neighbors used in the classification process. The measure of proximity between objects used is the Gower dissimilarity coefficient. This research used primary data consisting of 175 households collected purposively in a survey conducted on all households in Payobasung.  The optimal K value is determined by implementing a 5-fold cross-validation procedure. The result showed that the best classification process is when K = 3 nearest neighbors are used since it produces the highest accuracy coefficient and Mattews correlation coefficient (MCC). Therefore, for further work, in deciding the eligibility of a household to receive the Sembako Program in Payobasung, KNN can be used by considering its 3 nearest neighbors
On locating-chromatic number of helm graph H_m FOR 10m28 WELYYANTI, DES; SUTANTO, DASA; YULIANTI, LYRA
Jurnal Natural Volume 24 Number 3, October 2024
Publisher : Universitas Syiah Kuala

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24815/jn.v24i3.33190

Abstract

Let G = (V,E) be a connected graph and c be a k-coloring of G. The color class S_i of G is a set of vertices given color i, for 1 i k. Let = {S_1,S_2,,S_k} be an ordered partition of V(G). The color code of a vertex v $in$ (element) V(G) is defined as the ordered k--tuplec_ (v)=(d(v,S_1),d(v,S_2),...,d(v,S_k)),where d(v,S_i) = min{d(v,x)| x $in$ (element) S_i} for 1 i k. If distinct vertices have distinct color codes, then c is called a locating-coloring of G. The locating-chromatic number _L (G) is the minimum number of colors in a locating-coloring of G. This paper discusses the locating-chromatic number of helm graph H_m for 10 m 28. Helm graph H_m is constructed by adding some leaves to the corresponding vertices of wheels W_m, for m 3.
Co-Authors A. Asmiati Abdi Musra Abel, Latifa Azhar ADE NGESTU SULISTIO ADEK HAYATI PUTRI Admi Nazra Aisyah Nurinsani Alifaziz Arsyad Alsbaldo, Yuco Angdini Putri F Angryanof, Uthary Putri Auli Mardhaningsih C. Ike Tri Widyastuti Daramenra, Romie DEBI ZULKARNAIN Des Welyyanti Effendi Effendi Effendi Effendi Eka Purwanti Elva Rahimah Fadillah Fadillah Fajri, Muhammad Rafif Fakhri Zikra Fawwaz Fakhrurrozi Hadiputra Fifi Febrianti Fitri - Anggalia Haves Derindo Hazmira Yozza Hidayati Rais Izzati Rahmi HG Kelson Novrianus Lessya Khairannisa Al Azizu KIKI KHAIRA MARDIMAR Laila Hidayati Lessya, Kelson Novrianus M Fauzan Hardi Maharani Damayanti Mardhaningsih, Auli Mardhaningsih, Auli Mardimar, Kiki Khaira Maya Nabila mellany mellany Mellany, Mellany Muhammad Rafif Fajri MUHAMMAD RANDA Muhardiansyah Muhardiansyah Mutiara Ramadhani Syafnur Nada Andriani Nadia Nadia Nadia Nadia Nailul Yuni Permataputri Narwen Narwen NINDI MAULA AZIZAH Nurhasanah Nurhasanah Nurinsani, Aisyah Permana, Dony Putri Wulan Sari Risya Hazani Utari RIZKI REFORMAN Robi Nugraha Sayi Shelli Fitrianda Siska - Zayendra Sri Hariyani Suci Yefri Fadillah Suciana Budi Aryani SUTANTO, DASA Syafrizal Sy Syafrizal Sy Syafrizal Sy . Syafwan, Mahdhivan Tika Apriliza ULFA RAHAYU SY Yanita Yanita YANITA YANITA, YANITA Zayendra, Siska - Zayendra, Siska - Zulakmal, Zulakmal ZULKARNAIN, DEBI