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All Journal Zero : Jurnal Sains, Matematika, dan Terapan Eksakta : Berkala Ilmiah Bidang MIPA Pelita Eksakta Journal of Mathematics UNP
Meira Parma Dewi
Department Of Mathematic, Universitas Negeri Padang, Padang, 25132, Indonesia
Agriculture, Biological Sciences & Forestry Astronomy Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Decision Sciences, Operations Research & Management Energy Engineering Environmental Science Materials Science & Nanotechnology Mathematics Mechanical Engineering Physics Other

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Analisis Faktor-Faktor yang Mempengaruhi Produksi Jeruk di Kenagarian Kototinggi Kecamatan Gunuang Omeh Kabupaten 50 Kota Menggunakan Regresi Linear Berganda leni rahayu; meira parma dewi
Journal of Mathematics UNP Vol 4, No 3 (2019): Journal Of Mathematics UNP
Publisher : UNIVERSITAS NEGERI PADANG

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (810.093 KB) | DOI: 10.24036/unpjomath.v4i3.7185

Abstract

Abstract–The production centre of oranges in 50 Kota Regency, Kototonggi Subdistrict. The production of oranges has a fluctuation every year.Thei purposei is to observe the most signifikant factor which influences the production of the oranges at Kototinggi Subditrict, Gunuang Omeh District, 50 Kota Regency. The instrument was a questionnaire given directly to 100 orange farmers in Kototinggi Subdistrict and the data included primary data. The analysis used is multi linier regresion analysis. The most significant factors of oranges production in Kototinggi Subdistrict are farming land area (x1) , amount of fertilizer (x3),  amount of pesticide (x4),  diseases and pest (x5) with the level of error 10 %Keywords–Orange, Multiple Linear Regression Analysis, Factor of Production
Optimasi Biaya Distribusi Beras Sejahtera Menggunakan Metode Zero Suffix dan Metode ASM Wida Karnila; Hendra Syarifudin; Meira Parma Dewi
Journal of Mathematics UNP Vol 4, No 4 (2019): Journal Of Mathematics UNP
Publisher : UNIVERSITAS NEGERI PADANG

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (628.112 KB) | DOI: 10.24036/unpjomath.v4i4.7930

Abstract

Abstract – The research was distributed by the high cost of the prosperous rice distribution on perum bulog Bukittinggi Rp 219.986.865,-. Distribution is done from five warehouses to every subdistrict on the region it works. Perum bulog Bukittinggi striving for minimising the cost of every prosperous rice distribution warehouse to the districts. For minimising the cost of the prosperous rice distribution on perum bulog Bukittinggi used method zero suffix and the ASM method is a method of optimization of transportation problems and directly testing the keoptimuman transportation problem from the table without having to specify the initial solution first. The results of the calculation of the cost of distribution is performed by perum bulog Bukittinggi is Rp 219,986,865,-.Zero suffix using the method and the method of the ASM is Rp. 219,736,775.0-, so both of these methods can optimize the distribution cost issues bulog perum on without having to specify the initial solution.Keywords – zero suffix method, method of the ASM 
Family Clustering Based On Y-Chromosome DNA Profile Using Unweighted Pair Group Method with Arithmetic Mean Dewi, Meira Parma; Soedarsono, Nurtami
ZERO: Jurnal Sains, Matematika dan Terapan Vol 10, No 1 (2026): Zero: Jurnal Sains Matematika dan Terapan
Publisher : UIN Sumatera Utara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30829/zero.v10i1.28505

Abstract

Indonesia is a diverse nation composed of numerous ethnic groups, each with distinct physical and genetic characteristics. Genetic similarities within ethnic populations can be examined through DNA profiling, particularly by analyzing Short Tandem Repeat loci. In Indonesia, DNA profiling has been widely applied in forensic identification and paternity testing. This study focuses on classifying the Javanese population into sub-tribes based on STR profile similarities using divisive hierarchical clustering. The optimal number of clusters was determined by the smallest Sum of Squared Errors (SSE), with the lowest value of 72583.12and the highest Silhouatte coeffisien value is 0.78, yielding seven sub-tribe clusters. Subsequently, these sub-tribe clusters were further classified into family clusters using Y-chromosome STR (YSTR) data, which traces paternal lineage. The clustering process employed the Unweighted Pair Group Method with Arithmetic Mean, resulting in 21 family clusters. Compared to k-means clustering, divisive clustering produced sub-tribe clusters with more balanced population sizes. The establishment of sub-tribe and family clusters enhances the efficiency of individual identification, as DNA profile matching can be performed at the cluster level rather than across the entire population. This approach provides a more systematic framework for forensic applications and victim identification, particularly in cases involving male individuals where YSTR data is critical.
Co-Authors Abdullah Husein Armiati Armiati Arnellis Arnellis Dewi Murni Helma Helma Hendra Syarifudin Istima Istima Juwita Juwita Khairunisa Khairunisa leni rahayu Media Rosha Muhammad Subhan Nonong Amalita Nur Shayara Kamila Nurtami Soedarsono Silvia Alvini Soedarsono, Nurtami Tisa Revina Dewi Wida Karnila Yenni Kurniawati Yerizon Yerizon Yessy Nazir