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All Journal BAREKENG: Jurnal Ilmu Matematika dan Terapan Journal of Fundamental Mathematics and Applications (JFMA) Prosiding Sesiomadika PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON DATA SCIENCE AND OFFICIAL STATISTICS
yuli Sri Afrianti
Kelompok Keilmuan Statistika, Fakultas Matematika Dan Ilmu Pengetahuan Alam, Institut Teknologi Bandung
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Energy Engineering Mathematics Mechanical Engineering Physics Transportation Other

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Modifikasi Switch Probability pada Flower Pollination Algorithm melalui Analisis Statistika Deskriptif yuli Sri Afrianti; Fadhil Hanif Sulaiman
Prosiding Sesiomadika Vol 4 No 1 (2023): Seminar Nasional Matematika dan Pendidikan Matematika
Publisher : Prosiding Sesiomadika

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

Abstract

Flower Pollination Algorithm (FPA) merupakan metode optimisasi yang bebas gradien sehingga biaya komputasi rendah dan dapat digunakan untuk fungsi-fungsi yang tidak memiliki turunan. Metode ini pun termasuk sederhana karena mengandalkan bilangan random saja. FPA mengadopsi cara kerja penyerbukan bunga dengan pemilihan Switch Probability (disingkat p-switch) untuk menentukan proses optimisasi secara global atau lokal. Pada beberapa literatur sebelumnya, nilai p-switch selalu dipilih sebesar 0.8 karena secara alami, peluang lokal lebih besar dibandingkan global. Pada artikel ini akan dilakukan modifikasi penentuan besar p-switch, tidak lagi hanya menggunakan satu nilai, melainkan beberapa nilai dengan interval 0.6 hingga 0.9. Pemilihan interval ini pun mempertimbangkan sifat alami tadi yang menyatakan bahwa nilai peluang lokal lebih besar dibandingkan dengan global. Hasil yang diperoleh akan dianalisis dengan pendekatan Statistika Deskriptif, baik secara analitik maupun grafik. Dari hasil tersebut dapat disimpulkan bahwa nilai peluang yang paling optimal berbeda-beda untuk tiap fungsi objektif pada studi kasus, tidak selalu 0.8. Hasil ini diharapkan dapat menjadi rekomendasi untuk pengembangan FPA selanjutnya terutama pada tahap penentuan p-switch guna meningkatkan kinerja dan mempercepat konvergensi komputasinya.
FLOWER POLLINATION ALGORITHM (FPA): COMPARING SWITCH PROBABILITY BETWEEN CONSTANT 0.8 AND DOUBLE EXPONENTGUNAKAN DOUBLE EXPONENT Afrianti, Yuli Sri; Sulaiman, Fadhil Hanif; Vantika, Sandy
Journal of Fundamental Mathematics and Applications (JFMA) Vol 6, No 2 (2023)
Publisher : Diponegoro University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/jfma.v6i2.18996

Abstract

Flower Pollination Algorithm (FPA) is an optimization method that adopts the way flower pollination works by selecting switch probabilities to determine the global or local optimization process. The choice of switch probability value will influence the number of iterations required to reach the optimum value. In several previous literatures, the switch probability value was always chosen as 0.8 because naturally the global probability is greater than local. In this article, comparison is studied to determine the switch probability by using the Double Exponent rule. The results are analyzed using Hypothesis Testing to test whether there is a significant difference between the optimization results. The study involved ten testing functions, and results showed that the 0.8 treatment is significantly different from the Double Exponent. However, in general no treatment is better than the other.
K-MEANS AND AGGLOMERATIVE HIERARCHY CLUSTERING ANALYSIS ON THE STAINLESS STEEL CORROSION PROBLEM Afrianti, Yuli Sri; Pasaribu, Udjianna Sekteria; Sulaiman, Fadhil Hanif; Angelia, Grace; Wattimanela, Henry Junus
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/barekengvol18iss1pp0589-0602

Abstract

Stainless Steel (SS) is a material that is widely used in various fields because it is resistant to corrosion. However, if SS is exposed to heat at high temperatures for a long period of time, a sigma phase, namely the Fe-Cr compound, will form, which indicates that corrosion has begun. The appearance of this corrosion can be detected through color changes on the SS surface, ranging from light brown to dark blue. Corrosion events will be observed through the distribution of color on the sample surface at the location selected through the SS microstructure image. Cluster analysis will be used to group the colors on the surface of the SS sample through the images used. The results of cluster analysis can be used to identify SS color which indicates the appearance of corrosion in the sample. In this research, we will examine the determination of many clusters for K-Means and Agglomerative Hierarchy with Ward's Criterion, Single, Average, and Complete Linkages. In addition, the model quality measure was tested with Silhouette Coeficient. Single linkage gives the worst results because it gives the impression that only one dominant color appears so it can be said that it is unable to distribute each color to the specified cluster. Likewise with Average because the number of clusters cannot be determined with certainty. On the other hand, the K-Means results are similar to Ward's results, this is reasonable because the basic idea of both is to find the minimum distance between each object and its center, in this case the average is used as the measure of the center, while the results that are most similar to the original image are clustering uses complete linkage. These results can be used as recommendations for academics and practitioners in the fields of Statistics, Mathematics and Materials Engineering in the subsequent analysis process to solve SS corrosion problems.
Analyzing Infectious Disease in Multiple District in East Nusa Tenggara (ENT) using K-Means Clustering and Correspondence Analysis Adhari, Fadlan; Lintang Sulistyoreni, Gabriela; Jocelyn Jakson, Jessica; Sekar Larissa, Angelina; Sri Afrianti, Yuli; Hanif Sulaiman, Fadhil
Proceedings of The International Conference on Data Science and Official Statistics Vol. 2025 No. 1 (2025): Proceedings of 2025 International Conference on Data Science and Official St
Publisher : Politeknik Statistika STIS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34123/icdsos.v2025i1.426

Abstract

Infectious diseases remain a major public health concern in Indonesia, particularly in East Nusa Tenggara (ENT), where tuberculosis (TBC), dengue haemorrhagic fever (DHF), and HIV/AIDS are obtaining high cases. These diseases are not only influenced by individual and environmental factors but also by spatial characteristics such as population distribution and regional infrastructure. Therefore, analyzing spatial factors is crucial to better understand and manage the spread of infectious diseases in ENT. This study uses data from 2023 to 2024 across 22 districts in ENT, focusing on the prevalence of TBC, DHF, and HIV/AIDS. K-means clustering is first applied to classify the districts into three groups based on area size and population, aiming to identify spatial patterns of disease severity. The clustering process yields a silhouette coefficient of 0.48, indicating moderately valid group separation. Subsequently, correspondence analysis is used to examine the relationship between the resulting clusters and the three diseases. The result reveals that Cluster A, which has the highest population density, shows a strong association with all three infectious diseases. These findings suggest that population density plays a significant role in the transmission of infectious diseases and should be considered in future health intervention strategies.
Co-Authors Adhari, Fadlan Angelia, Grace Fadhil Hanif Sulaiman Hanif Sulaiman, Fadhil Jocelyn Jakson, Jessica Lintang Sulistyoreni, Gabriela Pasaribu, Udjianna Sekteria Sandy Vantika Sekar Larissa, Angelina Sulaiman, Fadhil Hanif Wattimanela, Henry Junus