Article Per Year (5 Year)
p-Index From 2020 - 2025
0.659
P-Index
This Author published in this journals
All Journal Jurnal Lebesgue : Jurnal Ilmiah Pendidikan Matematika, Matematika dan Statistika SRIWIJAYA JOURNAL OF ENVIRONMENT
Alfa Nugraha Pradana
IPB University
Agriculture, Biological Sciences & Forestry Decision Sciences, Operations Research & Management Education Energy Environmental Science Mathematics Public Health

Published : 3 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 3 Documents
Search

 1 
Analysis of the Effectiveness of Flash Floods Disaster Mitigation in Java Island Alfa Nugraha Pradana; Annissa Nur Fitria Fathina; Anwar Fitrianto; Bagus Sartono; Sachnaz Desta Oktarina
Sriwijaya Journal of Environment Vol 7, No 2 (2022): ENVIRONMENTAL CARE AND PROTECTION
Publisher : Program Pascasarjana Universitas Sriwijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22135/sje.2022.7.2.91-99

Abstract

Flash flood is one of the natural disasters that currently happens a lot in Indonesia. Java Island is one of the largest archipelagoes in Indonesia and has the highest incidence of flash floods. Several efforts were conducted to anticipate and mitigate flash floods in Java Island, including an early warning system, preparing safety equipment, building evacuation route signs, and monitoring watersheds. Through the dataset of Village Potential 2018, this study aims to explore the effectiveness of flash flood mitigation in Java Island using the R programming language. The stages of research carried out in this study are data preprocessing, including selecting, recoding the variables, exploratory univariate, bivariate, and multivariate data analysis. The results showed that the fatalities of flash floods often occurred in areas with plains surface, especially in West Java and East Java, followed by the topography of Central Java on the hills and the valleys in Banten. In addition, the most effective disaster mitigation established in Java Island is safety equipment and the construction of evacuation route signs compared to other disaster anticipation efforts.
PENERAPAN MULTI-CLUSTERING DALAM PENGELOMPOKAN KABUPATEN/KOTA DI PROVINSI JAWA BARAT BERDASARKAN INDEKS DESA MEMBANGUN Nur Khamidah; Reka Agustia Astari; Anwar Fitrianto; Erfiani Erfiani; Alfa Nugraha Pradana
Jurnal Lebesgue : Jurnal Ilmiah Pendidikan Matematika, Matematika dan Statistika Vol. 4 No. 3 (2023): Jurnal Lebesgue : Jurnal Ilmiah Pendidikan Matematika, Matematika dan Statistik
Publisher : LPPM Universitas Bina Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46306/lb.v4i3.459

Abstract

Cluster analysis is a statistical learning technique that aims to uncover hidden patterns in data by grouping it based on known explanatory variables. In multi-clustering algorithms, similar data in different sub-dimensions of categories are initially grouped separately and then re-categorized based on the obtained clusters, resulting in a more exploratory grouping. This research aims to conduct exploratory analysis of regencies/cities in West Java based on the Village Development Index (Indeks Desa Membangun/IDM), which consists of three sub-dimensions: Social Resilience Index, Economic Index, and Environmental Index. It also aims to observe how the regencies/cities in West Java are grouped based on these indices using a multi-clustering algorithm with KMeans for each sub-dimension. From the exploration and analysis results, regencies/cities are clustered based on the three sub-dimensions. Additionally, recommendations are obtained suggesting that the equal distribution of educational facilities, addressing crime rates, improving economic infrastructure, and enhancing environmental quality should be priorities for the government of West Java province
PENGGEROMBOLAN KECAMATAN DI PROVINSI JAWA BARAT BERDASARKAN AKSES PENDIDIKAN MENENGAH ATAS (SMA-SEDERAJAT) DENGAN K-PROTOTYPES Sofia Octaviana; Ahmad Syauqi; Anwar Fitrianto; Erfiani Erfiani; Alfa Nugraha Pradana
Jurnal Lebesgue : Jurnal Ilmiah Pendidikan Matematika, Matematika dan Statistika Vol. 5 No. 1 (2024): Jurnal Lebesgue : Jurnal Ilmiah Pendidikan Matematika, Matematika dan Statistik
Publisher : LPPM Universitas Bina Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46306/lb.v5i1.478

Abstract

Education is an important element for the Indonesian nation and must be felt by all citizens. The availability of educational facilities is important for the realization of overall educational equality for the Indonesian people. The aim of this research is to group sub-districts in West Java Province according to their level of access to Senior High School (SHS-equivalent). The data included in this study comprises both numerical and categorical variables, which were obtained from the 2021 Village Potential Data Collection (PODES) conducted by the Central Statistics Agency. A cluster analysis method that can be used to group objects based on numerical and categorical data is K-Prototypes. The results of the grouping divide the data into 2 groups, where the first group has the characteristics of an urban subdistrict, the topographic area is plain, access to the nearest high school is very easy, and has an average number of high school and equivalent schools of 22 schools per subdistrict, and has an average distance to the nearest high school of 1,86 km. Meanwhile, the second group has the characteristics of subdistricts with rural areas, topography in the form of slopes, easy access to the nearest high school, and has an average number of high schools of 7 per subdistrict, and the average distance to the nearest high school is 4,06 km. The second group is sub-districts that need to be given special attention because they have relatively fewer high schools and the distance to the nearest high school is further
Co-Authors Ahmad Syauqi Annissa Nur Fitria Fathina Bagus Sartono Erfiani Erfiani Fitrianto, Anwar Nur Khamidah Reka Agustia Astari Sofia Octaviana