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All Journal Jurnal Planologi Sultan Agung Jurnal Ilmu Lingkungan Tunas Geografi LaGeografiA Mintakat: Jurnal Arsitektur Jurnal Geografi : Media Informasi Pengembangan dan Profesi Kegeografian Jurnal Sumberdaya Alam dan Lingkungan Jurnal Wilayah dan Lingkungan Plano Madani Geo-Image Journal Journal of Applied Geospatial Information Jukung (Jurnal Teknik Lingkungan) CogITo Smart Journal KURVATEK Bubungan Tinggi: Jurnal Pengabdian Masyarakat Journal of Environmental Science Sustainable Journal of Environmental and Science Education Jurnal Teknologi Lingkungan Lahan Basah Envirotek : Jurnal Ilmiah Teknik Lingkungan Jurnal Riset Perkebunan (JRP) JURNAL HUTAN TROPIS Uniplan: Journal of Urban and Regional Planning Jurnal Dharma Indonesia
Trida Ridho Fariz
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Agriculture, Biological Sciences & Forestry Humanities Astronomy Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Decision Sciences, Operations Research & Management Earth & Planetary Sciences Education Electrical & Electronics Engineering Energy Engineering Environmental Science Immunology & microbiology Industrial & Manufacturing Engineering Physics Public Health Social Sciences Transportation Other

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Journal : Journal of Environmental and Science Education

 1 
Land Cover Mapping in Lake Rawa Pening Using Landsat 9 Imagery and Google Earth Engine Fariz, Trida Ridho; Suhardono, Sapta; Sultan, Habil; Rahmawati, Dwi; Arifah, Erma Zakiy
Journal of Environmental and Science Education Vol 2 No 1 (2022): Journal of Environmental and Science Education : April 2022
Publisher : Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/jese.v2i1.55851

Abstract

Lake Rawa Pening, in Semarang Regency, is one of the super lakes of revitalization priority. Lake revitalization is an activity to restore the natural function of the lake as a water reservoir through lake dredging, cleaning of invasive alien plants, and land use planning. This makes land use and land cover information in Lake Rawa Pening useful for formulating policy strategies related to revitalization. This study will discuss land cover mapping in Lake Rawa Pening. Mapping using Landsat 9 Imagery and machine learning on Google Earth Engine (GEE). Machine Learning used in this study is CART and RF. The research result shows that the land cover map with the best accuracy is obtained from machine learning RF with an overall accuracy of around 0.78, while CART machine learning is approximately 0.76. The overall accuracy values for CART and RF are not much different because they are both decision tree-based machine learning. This research needs to be developed using cloud masking, comparing image transformations, and comparing its predecessor data, namely Landsat 8. This is useful for providing representative land cover data as the basis for the policy of revitalizing Lake Rawa Pening.
Analysis of Land Cover Change and Projection of Settlement Land in Sepaku District, North Penajam Paser Regency Sultan, Habil; Rahmalidya, Alfia; Shopura, Adia Wafa; Akmal, Muhammad Roihan; Fariz, Trida Ridho; Haryadi, Haryadi; Lutfiananda, Fathia
Journal of Environmental and Science Education Vol 2 No 2 (2022): Journal of Environmental and Science Education : September 2022
Publisher : Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/jese.v2i2.58028

Abstract

The relocation of the capital city of Indonesia to Sepaku District, North Penajam Paser Regency, East Kalimantan will have an impact on all existing aspects. Land cover in Sepaku District has decreased from year to year. The area of vegetated land cover in Sepaku District is assumed to be decreasing due to the relocation of the New Capital City (NCC) to the area, which will have a negative impact on the environment. Therefore, this study aims to determine the level of land cover change in Sepaku District and discuss how the condition of land cover in Sepaku District after the construction of the New Capital City (NCC). The method in this study uses GIS (Geographical Information System) analysis and descriptive analysis. The data used are land cover data from 2009 to 2019 to find out changes in land cover and population data from BPS to project the population. Based on the results of the analysis of land cover data from 2009 to 2019 there was a change from scrubland to industrial forest plantations of around 26000 ha. In addition, there was no significant change in the area of built-up land. However, the results of population projections show that Sepaku Sub-district will experience a significant increase in built-up land cover after the construction of the New Capital City (NCC).
Tidal Flood Susceptibility Mapping and Community Adaptation Assesment in Semarang Utara District Jabbar, Abdul; Fariz, Trida Ridho; Putri, Salma Dwi; Rahmawati, Dwi; Prahmani, Yonika Sindiana; Putri, Rizda Amalia; Siregar, Zepanya Gladis Tabita; Holeng, Vera Angelina; Chasanah, Aisya Nurul
Journal of Environmental and Science Education Vol 3 No 1 (2023): Journal of Environmental and Science Education : April 2023
Publisher : Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/jese.v3i1.64910

Abstract

North Semarang District is one of the areas that is often affected by tidal floods. This study will discuss flood distribution through tidal flood susceptibility mapping and identify adaptations. The first step is to carry out flood susceptibility mapping using DEMNAS data and sea tides. The second stage is to determine the key areas based on the tidal flood susceptibility map made. Key areas are useful for identifying forms of community adaptation to tidal floods through data collection in the form of observations and interviews. The mapping results show that the flood susceptibility area reaches 582.89 Ha or around 50% of the area of North Semarang District. The key areas with high susceptibility are settlements on Jalan Tambakrejo, Tanjungmas Village and it is known that the community responds by adapting patterns to changes in physical infrastructure, economic activity, and social development.
Co-Authors Abdul Jabbar Abdul Jabbar Abdul Jabbar Agnes Dewi Wuri Ershanti Agnes Dewi Wuri Ershanti Ahmad Faesal Mubarizi Aji Prakoso Akbar Cahyadhi Pratama Putra Akmal, Muhammad Roihan Alfia Rahmalidya Alisa Faidatul Umam Amnan Haris Amnan Haris Anan Nugroho Andi Syahputra Andin Vita Amalia Ardhi Arnanto Arifah, Erma Zakiy Arrofi Agung Dwi Saputra Bunaya Hanif Wintribrata Chasanah, Aisya Nurul Crestanti Widya Utami Daeni, Fitri Dewi, Novi Ratna Dwi Fathimah Zahra Dwi Rahmawati DWI RAHMAWATI Dyah Ratna Salima Elisabeth Gita Damar Jati Elvita Safitri Estuning Tyas Wulan Mei Fadya Elva Riani Faiq Hisyam Hartanto Fajar Adie Nugraha Fajar Adie Nugraha Fathia Lutfiananda Fathia Lutfiananda Fitri Daeni Fitri Yunda Kuswati Flora Dian Riwin Br Hutapea Gede Aswin Yoga Putra Habil Sultan Habil Sultan Haikal Muhammad Ihsan Harun Syamsudin Nur Hidayah Haryadi - Heriyanti, Andhina Putri Hidhayah Nur Damayanti Holeng, Vera Angelina Iqbal Fathurrohman Ismida Rahmawati Junun Sartohadi Lestarina Estifani Pradiny Listiaji, Prasetyo Lola Marselia Syafitri Lutfiananda, Fathia Luthfi Hanum Saputri Maqfiroh Intan Nurul Aini Mellyana Putri Ayu Wandari Meutia Salwa Aisy Nabilla Miranita Khusniati Muh. Aris Marfai Muhamad Roihan Akmal Muhammad Ahganiya Naufal Muhammad Fauzan Ramadhan Mukhlis Abdullatif Nadira Safitri Ni Luh Tirtasari Ni'matuzzahroh Ni'matuzzahroh Noor Malita Dwirani Nurhidayati, Ely Permana, Pawit Indra Prahmani, Yonika Sindiana Prasetyo Listiaji Putra, Akbar Cahyadhi Pratama Putri Ulyatun Niswah Putri Yuni Nugroho Putri, Rizda Amalia Putri, Salma Dwi Raditya Arinanda Utama Rahmalidya, Alfia Raka Restu Rabbani Ramlah Ramlah Retnadi Heru Jatmiko Retnadi Heru Jatmiko Revieta Noor Fitri Rini Juita Sianipar Rizda Amalia Putri Salwa Salsabela Sapta Suhardono Shopura, Adia Wafa Sicha Nur Afidah Silvia Verdiana Siregar, Zepanya Gladis Tabita Sri Rum Giyarsih Suhardono, Sapta Sultan, Habil Syamsul Azhar Qowwam Ma’ruf Tantri Utami Widhaningtyas Tirtasari, Ni Luh Vera Angelina Holeng Vuri Krisna Mukti Widhaningtyas, Tantri Utami Yoga Darmajati Zepanya Gladis Tabita Siregar