Article Per Year (5 Year)
p-Index From 2021 - 2026
0.817
P-Index
This Author published in this journals
All Journal Jurnal Penelitian Sains Journal La Multiapp
Netty Kurniawati, Netty
Unknown Affiliation
Aerospace Engineering Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Engineering Mathematics Physics

Published : 4 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 4 Documents
Search

 1 
Analysis of the monthly rainfall in 2018-2019 in Palembang City and its relationship with climate conditions Novtriana, Deasti; Kurniawati, Netty; Hadi, Hadi; Koriyanti, Erry; Saleh, Khairul; Sutopo, Sutopo; Safrina, Sri; Awaludin, Awaludin; Irfan, Muhammad
Jurnal Penelitian Sains Vol 25, No 3 (2023)
Publisher : Faculty of Mathtmatics and Natural Sciences

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56064/jps.v25i3.878

Abstract

The amount of monthly rainfall can be classified into wet months, humid months, and dry months. The number of wet months, humid months, and dry months is related to the climatic conditions in the year concerned. In 2018 there was no climate anomaly (deviation), but in 2019 there was a climate anomaly due to the Positive Indian Ocean Dipole (IOD+) natural phenomenon. This study calculates the number of wet months, moist months, and dry months that occurred in 2018 and 2019 in Palembang City and relates them to the climatic conditions in both years. The data used is the amount of rainfall measured from 2 measurement stations, namely the UNSRI Bukit Besar station and the BMKG Kenten Palembang. The results of this study indicate that in both years for the city of Palembang, there were wet months, humid months. and dry months. In the dry months of 2019, especially in August and September, the amount of rainfall is very minimal, even in August there is almost no rain. This happened because in 2019 there was a climate anomaly related to the Positive Indian Ocean Dipole (IOD+) natural phenomenon.
Analisis Potensi Bencana Akibat Cuaca Ekstrem di Kabupaten Ogan Ilir (Studi Kasus: Angin Puting Beliung) Lestari, Indah; Kurniawati, Netty; Sutopo, Sutopo; Erni, Erni; Hadi, Hadi; Bama, Akhmad Aminuddin; Koriyanti, Erry; Safrina, Sri; Irfan, Muhammad
Jurnal Penelitian Sains Vol 27, No 3 (2025)
Publisher : Faculty of Mathtmatics and Natural Sciences

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56064/jps.v27i3.1280

Abstract

Cuaca ekstrem merupakan salah satu fenomena hidrometeorologi yang berdampak signifikan terhadap kehidupan masyarakat di Indonesia. Penelitian ini bertujuan untuk mengetahui potensi bencana cuaca ekstrem berupa angin puting beliung di Kabupaten Ogan Ilir dengan menganalisis parameter terkait menggunakan pendekatan Sistem Informasi Geografis (SIG). Parameter yang digunakan dalam penelitian ini meliputi tutupan lahan, kemiringan lereng, dan curah hujan. Metode yang digunakan seperti overlay dan skoring berdasarkan pedoman Perka BNPB Nomor 2 Tahun 2012. Data diperoleh dari berbagai sumber seperti Badan Informasi Geospasial (BIG) dan Climate Hazards Group InfraRed Precipitation with Station (CHIRPS). Seluruh data diolah menggunakan Software ArcGIS 10.8. Hasil penelitian menunjukkan bahwa seluruh wilayah Kabupaten Ogan Ilir tergolong dalam kategori bahaya tingkat  sedang dengan luas total 224.415,51 hektare atau 100% dari total wilayah. Klasifikasi ini dipengaruhi oleh dominasi curah hujan menengah sekitar 74,21%, kemiringan lereng datar sekitar 93,59%, serta tutupan lahan berupa tanah terbuka dan sawah.
Spatial Analysis of Landslide Dynamics in Muara Enim Regency Based on Rainfall Billa, Yosika Agustina; Mardiansyah, Wijaya; Kurniawati, Netty
Journal La Multiapp Vol. 7 No. 2 (2026): Journal La Multiapp
Publisher : Newinera Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37899/journallamultiapp.v7i2.2955

Abstract

Muara Enim Regency experiences significant landslide hazards requiring comprehensive understanding of rainfall dynamics and triggering mechanisms. This research investigates the spatial and temporal relationships between rainfall patterns and landslide occurrence using quantitative descriptive analysis with Geographic Information Systems. The study analyzed CHIRPS satellite rainfall data and institutional disaster records spanning 2017 to 2024, encompassing 75 documented landslide events across 96 monthly observations within Muara Enim Regency (7,483 square kilometers). Data analysis employed Inverse Distance Weighting interpolation with power parameter two to generate monthly rainfall surfaces, supplemented by descriptive statistics quantifying annual and monthly precipitation variations. Results revealed annual rainfall fluctuation ranging from 2,267 millimeters (2019) to 3,656 millimeters (2022), with pronounced seasonal patterns showing peaks in December (363 millimeters) and March (350 millimeters), contrasting with dry season minima in August (136 millimeters) and September (154 millimeters). Landslide occurrence clustered prominently during February, March, and November, recording eight to nine documented events respectively, while August and September with minimal rainfall showed zero to one landslide event. Analysis demonstrates strong correlation between rainfall intensity and landslide frequency, substantiating rainfall as a primary triggering mechanism for slope instability in mountainous tropical regions. This research provides foundational empirical evidence supporting subsequent integrated landslide hazard assessment and early warning system development in Muara Enim Regency and comparable Indonesian mountain regions.
Analisis Potensi Daerah Rawan Kekeringan di Kabupaten Ogan Ilir dengan Pemanfaatan Sistem Informasi Geografis (SIG) Izzatillah, Fathonah; Kurniawati, Netty; Sutopo, Sutopo; Erni, Erni; Hadi, Hadi; Bama, Akhmad Aminuddin; Koriyanti, Erry; Safrina, Sri; Irfan, Muhammad
Jurnal Penelitian Sains Vol 28, No 1 (2026)
Publisher : Faculty of Mathtmatics and Natural Sciences

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56064/jps.v28i1.1355

Abstract

Kekeringan yang terjadi secara berkepanjangan berpotensi menurunkan produktivitas pertanian dan mengganggu kesejahteraan masyarakat yang bergantung pada sektor ini. Kabupaten Ogan Ilir, Provinsi Sumatera Selatan  dikenal sebagai salah satu daerah penghasil karet yang dapat terdampak oleh kondisi tersebut. Penelitian ini menggunakan metode Analytical Hierarchy Process (AHP) yang dipadukan dengan Sistem Informasi Geografis (SIG) untuk menganalisis potensi kekeringan di Kabupaten Ogan Ilir berdasarkan lima parameter, yaitu curah hujan,  kemiringan lereng, jenis tanah, penggunaan lahan, dan jarak terhadap sungai. Hasil penelitian menunjukkan bahwa daerah Kabupaten Ogan Ilir didominasi oleh tingkat potensi kekeringan yang rendah dengan luas sekitar 123.271 hektar atau sebesar 61,47% dari total wilayah. Untuk tingkat potensi sedang mencakup sekitar 73.521 hektar atau seluas 36,66% dari total luas wilayah, sedangkan tingkat potensi tinggi hanya mencakup sekitar 3.743 hektar atau sebesar 1,87% dari total luas wilayah.
Co-Authors Akhmad Aminuddin Bama, Akhmad Aminuddin Awaludin Awaludin, Awaludin Billa, Yosika Agustina Erni Erni Erry Koriyanti Hadi Hadi Hadi Hadi Indah Lestari, Indah Izzatillah, Fathonah Khairul Saleh Muhammad Irfan Novtriana, Deasti Safrina, Sri Sutopo Sutopo Wijaya Mardiansyah, Wijaya