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All Journal Jurnal Pengelolaan Sumberdaya Alam dan Lingkungan (Journal of Natural Resources and Environmental Management) National Multidisciplinary Sciences
Yudi Setiawan
IPB University
Agriculture, Biological Sciences & Forestry Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Earth & Planetary Sciences Education Environmental Science Social Sciences

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Spatial Model Of The Deforestation Potential 2020 & 2024 And The Prevention Approach, Kutai Barat District Hultera Hultera; Lilik Budi Prasetyo; Yudi Setiawan
Jurnal Pengelolaan Sumberdaya Alam dan Lingkungan (Journal of Natural Resources and Environmental Management) Vol. 10 No. 2 (2020): Jurnal Pengelolaan Sumberdaya Alam dan Lingkungan (JPSL)
Publisher : Graduate School Bogor Agricultural University (SPs IPB)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29244/jpsl.10.2.294-306

Abstract

Kutai Barat have high forest cover and high deforestation rates. The study purpose to make spatial model, potential distribution of deforestation 2020 and 2024, analysis of the drivers of deforestation, compile and map the approach to reducing deforestation. Deforestation modeling done using MaxEnt and Zonation software. Deforestation sample data used from land cover maps 2009, 2013 and 2016. Deforestation rates used to estimate potential deforestation 2020 and 2024. The drivers of deforestation analyze from land cover change matrix. Prevention strategy approach by overlaying potential deforestation modeling results with RTRW maps. The model has good performance with AUC value 0.873. The validation show very good accuracy for the prediction of area to be deforested by 94%, the accuracy of the spatial distribution of the model 31%. Environmental variables have the highest contribution to the model is the distance from previous deforestation 37.4%. The potential of deforestation 2020 is 85,908 ha and 171,778 ha 2024. Oil palm, agriculture, rubber, HTI and mining are the driver of deforestation. Social forestry is expected to prevent potential deforestation 120,861 ha. Others expected programs to contribute to the deforestation reduction are community land intensification 30,316 ha and implementation of the HCV in plantation 20,120 ha.
Potential Improvement of Environmental Quality Index (EQI) Based on District Level Data. Case Study in Bekasi Regency Arief Budi Kusuma; Hariadi Kartodihardjo; Yudi Setiawan
Jurnal Pengelolaan Sumberdaya Alam dan Lingkungan (Journal of Natural Resources and Environmental Management) Vol 12 No 4 (2022): Jurnal Pengelolaan Sumberdaya Alam dan Lingkungan (JPSL)
Publisher : Pusat Penelitian Lingkungan Hidup, IPB (PPLH-IPB) dan Program Studi Pengelolaan Sumberdaya Alam dan Lingkungan, IPB (PS. PSL, SPs. IPB)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29244/jpsl.12.4.651-659

Abstract

Bekasi Regency always experiences an increase in population every year that significantly affects the Environmental Quality Index (EQI) in Bekasi Regency. Environmental Quality Index (EQI) is a value that can describe the quality of the environment in an area at a specified time. The Regency Environmental Quality Index (EQI) is a composite of the Water Quality Index (WQI), Air Quality Index (AQI), and Land Quality Index (LQI). All Environmental Quality Indexes positively affect the fulfilment of basic needs. The calculations in this research show the Environmental Quality Index (EQI) Based on District Level Data in Bekasi Regency is 47.56.
The Potential of Bekasi “Eduforest” urban forest in cultural environmental services Tsamarah Nada Saninah; Rachmad Hermawan; Yudi Setiawan; Tania June
Jurnal Pengelolaan Sumberdaya Alam dan Lingkungan (Journal of Natural Resources and Environmental Management) Vol 13 No 2 (2023): Jurnal Pengelolaan Sumberdaya Alam dan Lingkungan (JPSL)
Publisher : Pusat Penelitian Lingkungan Hidup, IPB (PPLH-IPB) dan Program Studi Pengelolaan Sumberdaya Alam dan Lingkungan, IPB (PS. PSL, SPs. IPB)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29244/jpsl.13.2.186-198

Abstract

Setu Subdistrict, Bekasi Regency is an area designated as urban forest development for providers of cultural environmental services. The purpose is to identify the community's perceptions, motivations, and preferences around the urban forest. Primary data collection by questionnaire to 31 people was determined purposively and analyzed quantitatively using a 4-point Likert Scale. Calculation of air temperature and humidity, thermal comfort, biomass with allometric methods, and CO2 absorption to support recommendations for attractions. The results show that community knowledge, benefits, and functions of urban forests are well known. People visit urban forests because they provide comfort and good air quality so that they are physically and mentally healthy. Community preferences are in the form of harvesting honey and developing urban forests together so that they can participate further. The potential of the urban forest in cultural environmental services can be developed through the provision of massive information and counseling, the development of tourist attractions in the form of forest healing, educational, and culinary tourism, also panoramic and landscape attractions. With the relative humidity of 60% and the thermal comfort of 25.2 oC, categorized as quite comfortable, the development of health therapy tourism can be considered.
Deteksi Ekspansi Padi pada Lanskap Hutan di Taman Nasional Ujung Kulon, Indonesia Menggunakan Algoritma RF dan Sentinel-2 Multispectral Instrumen Ratu Aprillya Wandani; Rahmat Asy’Ari; Yudi Setiawan; Anggodo Anggodo
National Multidisciplinary Sciences Vol. 1 No. 2 (2022): Proceeding SEMARTANI 1
Publisher : Universitas Muhammadiyah Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (822.828 KB) | DOI: 10.32528/nms.v1i2.64

Abstract

Taman Nasional Ujung Kulon (TNUK) merupakan taman nasional tertua yang berada di Pulau Jawa dan diresmikan sebagai salah satu warisan dunia oleh UNESCO untuk melindungi satwa terancam punah yaitu badak jawa (Rhinoceros sondaicus). Akan tetapi, adanya area pertanian padi milik masyarakat setempat di dalam kawasan TNUK yang merupakan salah satu ancaman yang dapat mengakibatkan terfragmentasinya kawasan hutan TNUK. Hal ini diproyeksikan akan berdampak terhadap upaya perlindungan habitat badak jawa serta satwa terancam punah lainya. Oleh karena itu, teknologi geospasial dilibatkan dalam proses identifikasi area pertanian di dalam kawasan konservasi TNUK. Pada penelitian ini menggunakan sumber citra Sentinel-2 MultiSpectral Instrument (MSI) dan proses analisisnya melalui platform berbasis cloud computing Google Earth Engine (GEE). Area pertanian diidentifikasi menggunakan algoritma machine learning berupa Random Forest (RF) dan algoritma Indeks seperti MNDVI, EVI, SAVI, IBI, ARVI, SLAVI, NDBI, LSWI, MNDWI, dan ANDWI. Klasifikasi menunjukan bahwa terdapat 1.556,82 ha (2,54%) lahan pertanian padi milik masyarakat yang tumpang tindih dengan batas kawasan hutan konservasi TNUK. Nilai akurasi yang didapatkan dari integrasi data geospasial ini berkisar di angka 93,00 (OA) dan 0,87 (KS) sehingga dapat mengestimasi luasan ekspansi area pertanian dengan tepat. Area pertanian padi ini menjadi permasalahan yang sangat serius terutama pihak TNUK dan masyarakat setempat. Oleh karena itu, permasalahan ini membutuhkan solusi yang mempertimbangkan fungsi dari taman nasional dan kesejahteran masyarakat setempat terutama para petani di dalam kawasan TNUK. Diharapkan dari penelitian ini dapat menjadi bahan pertimbangan bagi pemerintah setempat dan sebagai referensi bagi penelitian selanjutnya.
Co-Authors Anggodo Anggodo Arief Budi Kusuma Hariadi Kartodihardjo Hultera Hultera Lilik Budi Prasetyo Rachmad Hermawan Rahmat Asy’Ari Ratu Aprillya Wandani Tania June Tsamarah Nada Saninah