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All Journal Media Statistika MATEMATIKA Statistika Kreano, Jurnal Matematika Kreatif-Inovatif Jurnal TIMES Indonesian Journal of Applied Statistics BAREKENG: Jurnal Ilmu Matematika dan Terapan JOURNAL OF APPLIED INFORMATICS AND COMPUTING Jurnal Epidemiologi Kesehatan Komunitas JURNAL SILOGISME : Kajian Ilmu Matematika dan Pembelajarannya Building of Informatics, Technology and Science Jurnal Informatika dan Rekayasa Elektronik Infokes : Jurnal Ilmiah Rekam Medis dan Informasi Kesehatan Bulletin of Applied Mathematics and Mathematics Education JNPM (Jurnal Nasional Pendidikan Matematika) STATISTIKA Emerging Statistics and Data Science Journal
Rohmatul Fajriyah
Fakultas Matematika Dan Ilmu Pengetahuan Alam, Universitas Islam Indonesia
Agriculture, Biological Sciences & Forestry Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Energy Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Mathematics Mechanical Engineering Medicine & Pharmacology Nursing Physics Public Health Transportation Veterinary

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Aedes aegypti Larvae and Their Association with Air Temperature and Water pH in Cipadung Kulon, Bandung Sutriyawan, Agung; Fajriyah, Rohmatul; Kariyam, Kariyam
Jurnal Epidemiologi Kesehatan Komunitas Vol 11, No 1: Februari 2026
Publisher : Master of Epidemiology, Faculty of Public Health, Diponegoro University, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/jekk.v11i1.31586

Abstract

Background: Dengue remains a significant public health problem in Indonesia, particularly in urban and semi-urban areas. Bandung City continues to experience increasing dengue cases annually. Understanding the environmental factors associated with Aedes aegypti larvae and their spatial distribution is important to support targeted vector control strategies. This study aimed to describe the spatial distribution of Aedes aegypti larvae and to examine its association with air temperature and water pH levels.Methods: The study employed a cross-sectional design with an analytical approach. It was conducted in Cipadung Kulon Subdistrict, Bandung City, from May - July 2024. A total of 95 households were selected using proportional and systematic random sampling techniques. Data were collected through direct observation. Spatial distribution was presented descriptively, while associations between variables were analyzed using the chi-square test.Result: Among 95 households, 71.6% (68/95) were positive for Aedes aegypti larvae. Air temperature was significantly associated with larval presence (p = 0.035; PR = 1.43). Households with optimum air temperature (25–30°C) had a higher prevalence of larvae compared to those with suboptimal temperature. Water pH levels were also significantly associated with larval presence (p = 0.002; PR = 1.60), with higher prevalence observed in households with pH levels of 6.0–7.5.Conclusion : The presence of Aedes aegypti larvae at the household level was associated with air temperature and water pH. Maintaining proper environmental conditions in water storage containers and strengthening community-based vector control practices are important to reduce larval habitats.
Grouping Indonesian Province Farmers’ Term of Trade Using Dynamic Time Warping Mahmudiati, Imtikhanah Anis; Fajriyah, Rohmatul
Indonesian Journal of Applied Statistics Vol 7, No 2 (2024)
Publisher : Universitas Sebelas Maret

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.13057/ijas.v7i2.94456

Abstract

This study employs dynamic time warping (DTW) to analyze the farmer’s terms of trade (FTT) across 34 provinces in Indonesia, aiming to identify patterns and cluster similarities in time series data. DTW is recognized for its effectiveness in measuring flexible similarities under time distortions, making it particularly suitable for time series classification across various fields. The FTT is utilized to assess farmers' purchasing power by comparing the prices they receive for their products to the prices they pay for goods and services. K-Medoid clustering techniques were applied to group provinces based on their DTW distances, revealing three distinct clusters. The silhouette score indicates that three clusters as the optimum cluster for the FTT data. The findings show that the first and third clusters have low mean of FTT and the second cluster has the highest mean FTT. These indicates disparities in farmers’ income and purchasing power across regions where the government needs to enhance agricultural strategies and improve economic conditions for farmers in the first and third clusters.Keywords: Clustering; Dynamic Time Warping; Farmers Term of Trade; K-Medoid.
Co-Authors Abdullah, Ahmad Hussain ACHMAD FAUZAN Adhar Arifuddin Adhitya Ronnie Effendie, Adhitya Ronnie Aditya Ferdiana Arief Afriyani, Sintia Akbar, Wahyu Sa'dun Arifiana, Azizah Ayu, Devina Gilar Ayudhaya, Wanvisa Saisanan Na Azhari, M Fauzan Bayu Suseno Bimakasa, M Albarra Danarwindu, Ghiffari Ahnaf Dini, Sekti Kartika Gunawan, Asmawi Isnandar, Havidzah Asri Izzati Muhimmah Kariyam - Kongchouy, Noodchanath Lalu Mutawalli Lantip Rujito Mahmudiati, Imtikhanah Anis Moh Reza Syaifur Rizal Muhammad Muhajir, Muhammad Nafida Hetty Marhaeni Nanang Khuzaini, Nanang Nanda Khofifah, Thalia Novendri Isra Asriny Nuryadi Nuryadi Pradhisa, Kireyna Cindy Punik Mumpuni Wijayanti Rahman, Iqbal Fathur Riefyal Arshyzha Mustain Sekti Kartika Dini Sheilta Alphenia Subanar . Sutriyawan, Agung Tjen, Yoel Christopher Untari, Siti Nirmala Wayan Tunas Artama Yotenka, Rahmadi