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All Journal Geo Media: Majalah Ilmiah dan Informasi Kegeografian Jurnal Pengabdian Kepada Masyarakat Sakai Sambayan Journal of Degraded and Mining Lands Management Forum Geografi J SIG (Jurnal Sains Informasi Geografi) Jurnal Geologi Kelautan: Media Hasil Penelitian Geologi Kelautan Jurnal Geografi LIngkungan Tropik (Journal of Geography of Tropical Environments)
Ghazali, Mochamad Firman
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Agriculture, Biological Sciences & Forestry Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Computer Science & IT Earth & Planetary Sciences Energy Environmental Science Medicine & Pharmacology Other

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Spatial Analysis to Mitigate the Spread of Covid-19 Based on Regional Demographic Characteristics Ghazali, Mochamad Firman; Tridawati, Anggun; Sugandi, Mamad; Anesta, Aqilla Fitdhea; Wikantika, Ketut
Forum Geografi Vol 35, No 1 (2021): July 2021
Publisher : Universitas Muhammadiyah Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23917/forgeo.v35i1.12325

Abstract

COVID-19 is currently the hot topic of conversation because of its ability to spread relatively quickly, in line with everyday human activities. It is unknown exactly the dominant environmental factors and their influence on the spread of COVID-19 in the last four months. Its distribution ability is no longer locally but has succeeded in making several countries stop its important activities globally. Non-spatial data such as positive confirmed population data, population-based on age, and Landsat 7 satellite imagery data were used to determine the spatial characteristics of the COVID-19 distribution until October September 2020. Inverse distance weighted (IDW), Moran's I and Local Indicator Spatial Association (LISA), as well as the ratio of the old population to the population, confirmed positive (+) were used as an approach to determine the characteristics of its distribution. Besides information on residential areas, surface temperature, and surface humidity based on supervised classification, land surface temperature (LST), and the normalized difference water index (NDWI) of Landsat 7 satellite imagery is used to enrich the spatial analysis carried out. The study results show a population concentration of COVID-19 towards the city of Bandung, with Moran's I result in not showing a good correlation. Meanwhile, the LISA results show that areas with a large or small number of elderly residents do not always have high positive COVID-19 numbers. The relation between the positive population (+) COVID-19 population and the built-up area (settlement), the surface temperature in the built-up area, surface humidity, and old age population based on the coefficient of determination (R2) is 0.03, 0.28, 0.25, and 0.019. This shows the level of vulnerability of the area is low. So, in the end, a recommendation for handling can be produced by taking into account the demographic characteristics of the area appropriately
Characteristic of Dual Polarization Sentinel-1 for Estimation of Seawater Intrusion on Kalianda Coast, South Lampung: A Preliminary Study Salsabila, Choirunnisa; Ghazali, Mochamad Firman; Dermawan, Ananda; Zahra, Lauditta; Melliana, Ni Made Mega; Aulia, Mila
Jurnal Geografi Lingkungan Tropik (Journal of Geography of Tropical Environments) Vol. 7, No. 1
Publisher : UI Scholars Hub

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

Abstract

Seawater intrusion can increase soil salinity, which occurs due to flooding, evaporation, and land cover changes in coastal areas. This research aims to map and observe the characteristics of seawater intrusion in Way Urang, Kalianda, South Lampung, using Dual-polarization of Sentinel-1 SAR imagery with VV, VH, VV+VH, and (VV+VH)/2 polarization. There were 28 samples used in this research which were divided into two types, GCP (ground control point) and ICP (independent check point). GCP samples are used to create a seawater intrusion estimation model using the regression method, while ICP samples are used to test the validation model using the RMSE method. The seawater intrusion estimation model created in this study had a good RMSE accuracy of 0.01 – 0.08. However, these results were not followed by a strong relationship between backscatter and estimated salinity value. This can be caused by high levels of soil moisture in the research area. Based on the salinity value estimation model, it shows that there is no seawater intrusion in the research area. Seawater intrusion can increase soil salinity, which occurs due to flooding, evaporation, and land cover changes in coastal areas. This research aims to map and observe the characteristics of seawater intrusion in Way Urang, Kalianda, South Lampung, using Dual-polarization of Sentinel-1 SAR imagery with VV, VH, VV+VH, and (VV+VH)/2 polarization. There were 28 samples used in this research which were divided into two types, GCP (ground control point) and ICP (independent check point). GCP samples are used to create a seawater intrusion estimation model using the regression method, while ICP samples are used to test the validation model using the RMSE method. The seawater intrusion estimation model created in this study had a good RMSE accuracy of 0.01 – 0.08. However, these results were not followed by a strong relationship between backscatter and salinity value. This can be caused by high levels of soil moisture in the research area. Based on the salinity value estimation model, it shows that there is no seawater intrusion in the research area.
KARAKTERISTIK INTRUSI AIR LAUT SERTA HUBUNGANNYA DENGAN KETINGGIAN DAN KEMIRINGAN LERENG Zahra, Lauditta; Ghazali, Mochamad Firman; Dermawan, Ananda; Salsabila, Choirunnisa; Aulia, Mila; S, Ni Made Mega Melliana
JURNAL GEOLOGI KELAUTAN Vol 20, No 2 (2022)
Publisher : Pusat Penelitian dan Pengembangan Geologi Kelautan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32693/jgk.20.2.2022.772

Abstract

Wilayah pesisir merupakan daerah yang memiliki banyak potensi, namun terdapat banyak permasalahan di dalamnya, salah satunya intrusi air laut. Intrusi air laut merupakan permasalahan yang belum mendapatkan perhatian, baik dari masyarakat maupun pemerintah. Didukung dengan bentuk topografi daerah pesisir berupa dataran, sehingga semakin mempercepat terjadinya intrusi air laut. Penelitian dilakukan di daerah pesisir Kecamatan Kalianda, lebih tepatnya di Desa Way Urang, Desa Way Lubuk dan Kelurahan Kedaton. Tujuan penelitian ini untuk mendeskripsikan karakteristik intrusi air laut serta hubungan terhadap perubahan ketinggian dan kemiringan lereng. Data yang digunakan berupa data salinitas yang dikumpulkan menggunakan teknik purposive sampling. Data lainnya berupa SRTM yang diekstraksi menghasilkan data ketinggian dan kemiringan lereng. Data tersebut dilakukan analisis regresi polinomial untuk melihat hubungan intrusi air laut terhadap ketinggian dan kemiringan lereng. Berdasarkan hasil analisis, hubungan intrusi air laut terhadap ketinggian memiliki nilai R2 = 0,2334 sedangkan terhadap kemiringan lereng dengan nilai R2 = 0,317. Dari hasil penelitian, disimpulkan bahwa besarnya intrusi air laut memiliki hubungan yang lemah terhadap ketinggian dan kemiringan lereng.
Detecting soil salinity dynamics using Landsat 8 OLI/TIRS for sustainability land management in Pekalongan City, Central Java, Indonesia Primadipta, Indira Wido; Saepuloh, Asep; Rachmayani, Rima; Ghazali, Mochamad Firman; Sahana, Muhammad Irham
Journal of Degraded and Mining Lands Management Vol. 12 No. 3 (2025)
Publisher : Brawijaya University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15243/jdmlm.2025.123.7469

Abstract

Soil salinization occurs when salts accumulate in the soil, damaging its structure and reducing fertility. Currently, about 20% of cultivated land is affected by salinity, and it is estimated that this figure could rise to 50% by 2050 if no preventive actions are taken. In Indonesia, saline soils are predominantly found in coastal regions, where seawater intrusion and tidal flooding are common. Pekalongan, a coastal city in Central Java with shallow groundwater, is particularly susceptible to salinization, as evidenced by increased groundwater salinity affecting a total area of 23.03 km². This study utilized Landsat 8 OLI/TIRS imagery to develop an enhanced soil salinity index for monitoring soil salinity dynamics in Pekalongan City from 2014 to 2024. Seven salinity indices were used to estimate soil salinity, and statistical analysis was conducted to examine the relationship between electrical conductivity (EC) and salinity indices derived from satellite imagery. A tailored soil salinity index, termed the modified Vegetation Soil Salinity Index (mVSSI), was developed, achieving a strong correlation with field data (R² = 0.81). The analysis showed notable changes in non-saline soil areas, which expanded from 3.32 km² in 2014 to 9.64 km² in 2024, likely due to efforts to mitigate seawater intrusion and tidal flooding. This study provides valuable insights into the dynamics of soil salinity and offers a reliable tool for monitoring and managing salinity in coastal regions, contributing to the broader goal of sustainable land management.
MEMILIH KANAL CITRA SENTINEL 2 TERBAIK UNTUK DETEKSI INTRUSI AIR LAUT DI KELURAHAN WAY URANG Aulia, Mila; Ghazali, Mochamad Firman; Dermawan, Ananda; Salsabila, Choirunnisa; Zahra, Lauditta; Suastini, Ni Made Mega Melliana
J SIG (Jurnal Sains Informasi Geografi) Vol 6, No 1 (2023): Edisi Mei
Publisher : Universitas Muhammadiyah Gorontalo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31314/jsig.v6i1.1594

Abstract

The phenomenon of sea water intrusion almost occurs in all coastal areas. This phenomenon occurs scientifically and non-scientific which can lead to reduced groundwater quality. Utilization of remote sensing images, such as Sentinel 2 can be used to map the distribution of seawater intrusion in Way Urang Urban Village, South Lampung Regency. It just needs to be preceded by choosing the right band. Therefore, the statistical test process in the form of regression needs to be considered. The data needed include seawater intrusion in the field in the form of 18 sample points and Sentinel 2 Satellite Imagery. Based on the results of the regression test, bands 9, 10, 11, and 12 are bad bands with an R2 value of 0.0032-0.0624, bands 1, 6, 7, 8, 8A with an average value of R2 0.1171-0.0624 is a poor band, and bands 2, 3, 4, especially band 5 with R2 0.2099-0.3483 are the best bands in mapping the distribution of seawater intrusion. However, the Root Mean Square Error (RMSE) value of band 8A is 0.2570 which is smaller than band 5 which is 0.4335. So it can be said that band 5 is the best in mapping seawater intrusion with the highest R2 value. But if we look at the RMSE value, band 8A has better accuracy than band 5.
Model Regresi Spasial untuk Pendugaan Intrusi Air Laut Berdasarkan Relasi Pengukuran Salinitas terhadap Vegetation Soil Salinity Index Dermawan, Ananda; Ghazali, Mochamad Firman; Salsabila, Choirunnisa; Zahra, Lauditta; Aulia, Mila; Suastini, Ni Made Mega Melliana
Geomedia Majalah Ilmiah dan Informasi Kegeografian Vol. 21 No. 1 (2023): Geo Media: Majalah Ilmiah dan Informasi Kegeografian
Publisher : Universitas Negeri Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21831/gm.v21i1.51901

Abstract

Intrusi air laut di wilayah pesisir sering menjadi permasalahan bagi lingkungan sekitarnya sehingga perlu dilakukan upaya untuk mengidentifikasi keberadaan intrusi tersebut. Hal ini dapat dinilai menggunakan teknologi penginderaan jauh. penelitian ini dilakukan dengan menganalisis Citra Satelit Sentinel-2, data salinitas dari pengukuran lapangan, dan perhitungan statistik. Salinitas tanah akan diperkirakan menggunakan vegetation soil salinity index (VSSI). Penelitian ini mengintegrasikan data pengukuran salinitas lapangan dengan VSSI untuk membangun model persamaam regresi linear dan nonlinear. Ada tiga model regresi yang digunakan yaitu regresi linear, regresi eksponensial, dan regesi polynomial. Analisis ketiga model tersebut menunjukkan bahwa regersi polynomial merupakan model yang paling sesuai untuk estimasi salinitas berdasarkan VSSI dengan nilai koefisien determinasi (R2) 11,04%. Hasil estimasi salinitas berdasarkan VSSI menggunakan model polynomial memiliki koreasi yang cukup baik terhadap observasi salinitas dengan nilai koefisien determinasi (R2) 42,49%, sedangkan validasi estimasi tersebut memiliki akurasi cukup tinggi dengan nilai RMSE 0,0013% dan MAE 0,0011%. Kata kunci : Intrusi air laut, Salinitas, Analisis regresi, Sentinel-2, VSSI
PENDAMPINGAN PEMETAAN KUALITAS SAWAH BERSAMA KELOMPOK TANI UNTUK PENINGKATAN PRODUKSI PADI BERDASARKAN KONDISI pH TANAH Ghazali, Mochamad Firman
Jurnal Pengabdian Kepada Masyarakat Sakai Sambayan Vol. 6 No. 2 (2022)
Publisher : Lembaga Penelitian dan Pengabdian Universitas Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/jss.v6i2.344

Abstract

Kegiatan pemetaan kondisi sawah di Desa Kediri, Gadingrejo, Lampung merupakan hal yang penting bagi para petani. Hal tersebut berkaitan dengan pemberdayaan masyarakat terutama yang bermata pencaharian sebagai petani. Untuk memaksimalkan produksi padi selain dengan upaya pemberdayaan petani juga diperlukan pemantauan dan pemetaan lahan sawah. Salah satunya dengan adanya pemantauan dan pemetaan tingkat kemasaman (pH) tanah pada lahan sawah. Pengabdian ini bertujuan untuk memetakan kondisi lahan dan tingkat kemasaman (pH) area sawah yang terletak di Desa Kediri. Manfaat dari kegiatan ini dapat membantu petani untuk mempersiapkan lahan sawahnya agar pertumbuhan padi pada masa tanam baik sehingga bisa mendapatkan hasil panen yang optimal. Sehingga pendapatan para petani di Desa Kediri bisa meningkat dibandingkan dengan sebelumnya.
MENGENALKAN RESIKO DARI INTRUSI AIR LAUT MELALUI PEMETAAN PARTISIPATIF MASYARAKAT PESISIR Ghazali, Mochamad Firman; Salsabila, Choirunnisa; Dermawan, Ananda; Zahra, Lauditta; Aulia, Mila; Meliana, Ni Made Mega
Jurnal Pengabdian Kepada Masyarakat Sakai Sambayan Vol. 7 No. 1 (2023)
Publisher : Lembaga Penelitian dan Pengabdian Universitas Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/jss.v7i1.374

Abstract

Intrusi air laut atau masuknya air asin ke dalam tanah merupakan ancaman lingkungan bagi masyarakat pesisir. Fenomena tersebut akan menyebabkan tercemarnya air tawar, tanah, dan vegetasi yang berada di sekitar garis pantai. Salah satu masyarakat yang terkena dampak buruk dari adanya intrusi air laut adalah petani. Tingginya kadar garam pada lahan sawah akan mengakibatkan terganggunya pertumbuhan padi dan mengurangi jumlah gabah, dan produksi padi per ha. Petani di Desa Sriminosari dan Margasari, Labuhan Maringgai, Lampung Timur memanfaatkan lahan di sekitar pesisir pantai sebagai lahan sawah, hal tersebut berpotensi tercemar oleh intrusi air laut. Maka dari itu kegiatan ini bertujuan untuk memetakan intrusi air laut dan produktivitas padi di Desa Sriminosari dan Margasari. Lahan di Desa Sriminosari dan Margasari memiliki nilai salin (%0 sebesar -0,531 – 0,92. lahan sawah di kedua desa tersebut juga tercemar intrusi air laut dengan tingkatan sedikit parah dan cukup parah. Sawah yang dekat dengan tambah memiliki nilai intrusi yang lebih tinggi. Hal tersebut juga berpengaruh terhadap produktivitas lahan sawahnya. Selain itu, produktivitas lahan sawah juga dipengaruhi oleh jenis pengairan pada lahan sawah. Hal itu ditunjukkan dengan Desa Margasari yang memiliki tingkat produktivitas lahan sawah yang lebih tinggi dibandingkan dengan Desa Sriminosari.
Co-Authors Anesta, Aqilla Fitdhea Asep Saepuloh Aulia, Mila Dermawan, Ananda Ketut Wikantika Meliana, Ni Made Mega Melliana, Ni Made Mega Primadipta, Indira Wido Rima Rachmayani, Rima S, Ni Made Mega Melliana Sahana, Muhammad Irham Salsabila, Choirunnisa Suastini, Ni Made Mega Melliana Sugandi, Mamad Tridawati, Anggun Zahra, Lauditta