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"Peningkatan jumlah penduduk yang tinggi akan mengubah tata guna lahan suatu wilayah, akibatnya terjadi pengalihfungsian lahan bervegetasi hijau menjadi lahan pemukiman dan perindustrian. Habitat asli mahluk hidup seperti avifauna akan semakin terfragmentasi bahkan hilang. Penelitian ini dilakukan di Kecamatan Sukmajaya yang merupakan kecamatan yang paling padat populasinya di Kota Depok. Kecamatan Sukmajaya didominasi oleh wilayah perumahan, sekitar 62,1% dari total luas kecamatan ini merupakan area perumahan dan hanya menyisakan 21,2% lahan bervegetasi yang terfragmentasi oleh bangunan sebagai habitat mahluk hidup. Maka dari itu perlu dilakukan penelitian bagaimana tipe pengunaan lahan berpengaruh terhadap kekayaan jenis avifauna sebagai masukan bagi pemangku kepentingan dalam upaya konservasi avifauna. Penelitian dilakukan dengan metode point count di 37 titik pengamatan yang terbagi di area perumahan, area perindustrian, dan lahan bervegetasi. Hasil penelitian ini menunjukkan bahwa korelasi antara penggunaan lahan dan kekayaan jenis avifauna dapat dijelaskan melalui karakteristik dari habitat penggunaan lahan tersebut. Dengan uji regresi linear seluruh karakter habitat, seperti NDVI, total individu vegetasi, jumlah jenis vegetasi, tutupan tajuk, gangguan aktifitas manusia, dan suhu secara simultan dapat memprediksi nilai indeks kekayaan jenis Margalef. Jumlah jenis vegetasi dan tutupan tajuk merupakan karakter yang paling berpengaruh terhadap kekayaan jenis avifauna pada penelitian ini. Hal ini juga didukung dengan hasil analisis regresi berganda pada tingkat kepercayaan 95% yang menunjukkan F hitung (96,204) > F tabel (2,42) dan R2 = 0,951, dengan nilai P-value pada jumlah jenis vegetasi (0,001) dan tutupan tajuk (0,0009) lebih besar daripada nilai alpha (0,05)

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A high population increase will affect the landuse change, and as a result, there will be a conversion of green areas into residential and industrial land. The natural habitat of wildlife such as avifaunas will be highly fragmented and even lost. This research was conducted in Sukmajaya District, which was the most densely populated sub-district in Depok City. Sukmajaya sub-district is dominated by residential areas, about 62.1% of the total area of ​​this sub-district is residential area and leaving only 21.2% of the vegetated land fragmented by buildings as habitat for wildlife. Therefore, it is necessary to conduct research on how different landuse types affect avifauna species richness which is important as input for stakeholders in avifauna conservation efforts. The research was conducted by using point count method in a total of 37 observation points divided into residential areas, industrial areas, and vegetated lands. The results of this study indicated that the correlation between landuse and avifauna species richness can be explained by the characteristics of the landuse habitat. Using linear regression, all habitat characters, such as NDVI, total individual vegetation, number of vegetation types, canopy cover, human activity disturbance, and temperature can simultaneously predict the value of the Margalef species richness index. The number of vegetation types and canopy cover are the characters that most influence the avifauna species richness in this study. This is also supported by the results of multiple regression analysis at the 95% confidence level which shows F count (96,204)> F table (2,42) and R2 = 0,951, with a P-value on the number of vegetation types (0,01) and canopy cover (0,009) is greater than the alpha value (0,05)"

"Pada Bulan Mei tahun 2022, terjadi hujan berintensitas tinggi di Desa Citengah, Air hujan tersebut tidak mampu terserap oleh kawasan Hutan Gunung Kareumbi dan langsung mengalir ke Sungai Citengah dan Citandun sebagai water runoff pada saat yang bersamaan hingga meluap sehingga terjadi banjir bandang. Kejadian banjir bandang yang menimpa Desa Citengah diasumsikan terjadi akibat alih fungsi lahan di kawasan hulu sungai. Penelitian ini menggunakan Google Earth Data untuk membuat peta penggunaan lahan serta penutup lahan. Hasil menunjukan Perubahan Penggunaan lahan terluas pada Tahun 2015-2022 adalah sawah menjadi semak belukar, disusul oleh perubahan hutan menjadi sawah. Secara topografi, pemanfaatan lahan di Desa Citengah mulai mengubah hutan menjadi permukiman dan persawahan dan terus mengarah kepada pegunungan. sehingga perubahan penggunaan lahan tergolong kedalam skema D. Perubahan penutup lahan terluas pada Tahun 2015-2022 adalah Vegetasi Sedang menjadi Lahan Terbangun, Perubahan tersebut terdistribusi di sekitar jalan sehingga tergolong ke dalam pola distribusi perubahan memanjang mengikuti jalan. Penggunaan Lahan di Desa Citengah tidak sesuai dengan teori Wilayah Tanah Usaha, dimana pada kawasan terbatas kedua terdapat alih fungsi lahan perkebunan teh menjadi permukiman, tepatnya pada hulu DAS Cihonje. Diasumsikan banjir di Desa Citengah berasal dari limpasan air DAS Cihonje. Perubahan penggunaan lahan tanpa terjadi perubahan penutup lahan terluas pada Tahun 2015-2022 adalah Sawah menjadi semak belukar. Perubahan penutup lahan tanpa terjadi perubahan penggunaan lahan terluas adalah vegetasi sedang menjadi vegetasi rendah. Perubahan penggunaan lahan dapat terjadi tanpa disertai perubahan penutup lahan dan perubahan penutup lahan dapat terjadi tanpa disertai perubahan penggunaan lahan pula.

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In May 2022 there was rain with high intensity on the south side of Citengah Village, Mount Kareumbi Forest area was unable to absorb the rain water and immediately flowed into the Citengah River and Citandun River as water runoff at the same time until it overflowed causing flash floods. The occurrence of flash floods in Citengah Village is assumed to have occurred due to land changes in the upstream area of ​​the river. This study uses Google Earth Data to create land use and land cover maps. This Study aims are Analyzing patterns of land use and land cover change that occurred in Citengah Village, and Analyzing the relationship between changes in land use and land cover. The results show that the largest change in land use in 2015-2021 is paddy fields with continuous rice to become shrubs, and classified into scheme D. The widest land cover change in 2015-2021 is Medium Vegetation to Built-up area and classified into distribution pattern of changes extending along the road. Land use in Citengah Village is still in accordance with the theory of Land Utility Area, where in the second restricted area there is only high density primary highland forest, while settlements and rural areas are found in the second main area. Changes in land use can occur without being accompanied by changes in land cover and changes in land cover can occur without being accompanied by changes in land use as well."

"Lahan merupakan salah satu sumber daya yang penting untuk menopang kehidupan manusia dan makhluk hidup lainnya. Studi ini berfokus pada kualitas air di daerah tangkapan air yang dipengaruhi oleh pertumbuhan lahan. Tujuan dari model ini diwakili oleh hubungan linear antara indeks kualitas air sebagai variabel respon dan daerah tangkapan kedap air sebagai variabel penjelas. Daerah penelitian berada di daerah tangkapan air di kampus Universitas Indonesia, Depok, Jawa Barat. Data daerah tutupan lahan kedap air dikumpulkan dari citra dunia digital dan didigitasi berdasarkan atap yang diidentifikasi. Data kualitas air ditentukan berdasarkan laporan sebelumnya dan dikumpulkan secara manual di danau oleh penulis. Air yang dikumpulkan dari danau akan dimasukkan untuk uji laboratorium untuk bisa mendapatkan kualitas sampel sesuai dengan parameter yang ditentukan. Indeks kualitas air yang ditargetkan ditentukan berdasarkan kesesuaian penggunaan air mengacu pada peraturan pemerintah Indonesia nomor 82/2001. Seiring berjalannya waktu, pertumbuhan lahan berubah dan memberikan efek pada kualitas air Danau UI. Sebagai alat untuk menetapkan perencanaan dalam pengembangan di masa depan pada daerah tangkapan air sistem danau di Universitas Indonesia, digunakan hubungan linear antara kedap air daerah tangkapan air dan indeks kualitas air. Setelah dilakukan analisis regresi linear antara tutupan lahan kedap air dan kualitas air, didapatkan relasi bahwa semakin meningkatnya persentase tutupan lahan kedap air maka kualitas air semakin buruk dari waktu ke waktu.

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Land is one of the resources that is essential to sustain the lives of humans and other living things. This study focuses on the water quality in a catchment area that is affected by the land growth. The purpose of the model is represented by a linear relationship between the water quality index as a response variable and catchment area imperviousness as an explanatory variable. The study area is in a catchment area at the campus of Universitas Indonesia, Depok, West Java. The data of the catchment are imperviousness is collected from the digital globe imagery and digitized based of identified rooftops. The water quality data is determined based on previous reports and collected manually in the lake by the author. The water collected from the lake will be put for laboratory test to be able to get the quality of the sample according to the determined parameters. The targeted water quality index is determined based on water use suitability referring to the Indonesian government regulation number 82/2001. As time goes by, the land growth changes and gives an effect to the water quality of the UI Lake. As a tool to set a plan for future development on the catchment area of the lake system in Universitas Indonesia, it is possible to use the linear relationship between catchment area imperviousness and water quality index. After a linear regression analysis between imperviousness and water quality, a relationship was found that the increasing percentage of imperviousness affects the water quality in getting worse over time."

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Perubahan tutupan lahan merupakan suatu permasalahan yang terjadi secara global dan tak terkecuali pada wilayah Asia Tenggara. Perubahan tutupan lahan yang terjadi pada wilayah Asia Tenggara ini terjadi sangat pesat dalam beberapa dekade terakhir tanpa terkecuali pada wilayah Sub DAS Batang Tembesi. Perubahan yang terjadi pada sub DAS Batang Tembesi ini terjadi pada tutupan lahan hutan yang dialih fungsikan menjadi tutupan lahan jenis lain. Penelitian ini bertujuan untuk menganalisis karakteristik hydrologic response unit dan pengaruh perubahan penutup lahan terhadap karakteristik hidrologi di sub-das Batang Tembesi. Penelitian ini menggunakan model hidrologi SWAT+ (Soil and Water Assessment Tool+) berdasarkan perubahan penutup lahan untuk mendapatkan pola spasial dan temporal dari HRU dan karakteristik hidrologi sub-das Batang Tembesi. Hasil yang diperoleh dalam penelitian ini adalah pada kurun waktu 2013 – 2020 terjadi pola perubahan HRU dan karakteristik hidrologi akibat dari berubahnya tutupan lahan di sub-DAS Batang Tembesi. Berubahnya penutup lahan pada sub-das Batang Tembesi berpengaruh terhadap pola spasial dan temporal HRU dan juga berpengaruh terhadap berubahnya karakteristik hidrologi di sub-das Batang Tembesi.

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Land cover change is a problem that occurs globally and is no exception in the Southeast Asia region. Land cover changes that have occurred in the Southeast Asia region have occurred very rapidly in the last few decades, including in the Batang Tembesi sub-watershed area. The changes that occurred in the Batang Tembesi sub-watershed occurred in forest land cover which was converted into other types of land cover. This research aims to analyze the characteristics of the hydrologic response unit and the influence of changes in land cover on the hydrological characteristics of the Batang Tembesi sub-basin. This research uses the SWAT+ (Soil and Water Assessment Tool+) hydrological model based on land cover changes to obtain spatial and temporal patterns of HRU and hydrological characteristics of the Batang Tembesi sub-watershed. The results obtained in this research are that in the period 2013 - 2020 there was a pattern of changes in HRU and hydrological characteristics as a result of changes in land cover in the Batang Tembesi sub-watershed. Changes in land cover in the Batang Tembesi sub-basin affect the spatial and temporal patterns of HRU and also influence changes in hydrological characteristics in the Batang Tembesi sub-watershed.

 

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"Asmadi / NPM: 6399060079, Tingkat Kebutuhan dan Pemanfaatan Tanah Untuk Pembangunan Peruniahan di Kabupaten Tangerang Tahun 1993-1999, di bawah bimbmgan Dr. IT. S. B. Silalahi, MS, dan Drs. Hari Kartono, MS.(xv + 124 halaman), (20 label), (16 gambar), (12 peta), (20 lampiran), (pustaka: 1960-2000)ABSTRACTThe aim of this research is to study: (1). the level of the land need area for housing development in accordance with growth of population in Tangerang Regency in the years of 1993-1999; (2). the execution present of the location permit to the housing developers in the years of 1993-1999, i.e. the land total area and land utilization as the land acquisition, land use and factors influencing the level of land acquisition and land use; and (3). the effect of the housing development to the land use change of farm and the negleted land.Growth rate of population that rapid in Tangerang Regency has been logical consequence to the development of housing, there for necessary to the supply of land, which executed either by self society or developers. The present of the location permit has been utilitarian in the land supplies of housing, but also have negative effect as the land area in the location permit that so largest, the level of land acquisition and land use which still low, etc.The result of the survey shows that in the years of 1993-1999 in Tangerang Regency for the housing development still necessaries to the amount of land area that to spread in all district (kecamatan).The result of the analyze concerning the present of the location permit during 1993-1999 in Tangerang Regency is indicate that it has been very large on account of the need real land area The average of the land acquisition is shows that the level of lower or about 56,28 percent from land total area of the location permit. Factors affecting the degree of the function land acquisition, that there is four factors which support (positive) comprising variables the area of wet rice fields Ix (wetlands Ix), the area of mixed garden, population density, and density of the roads, whereas factors which limit (negative) to the function comprising seven variables i.e. the area of the location permit, population, interest rates on credit of Bank, distance to (Jakarta, TOL and center of government Tangerang City), and the area of wastelands.The average level of the land use too indicate that the lowest or about 28,82 percent from area of land acquisition. Factors affecting the degree of the function land use, that there is one factor which support (positive) i.e. variable population density, whereas factors which limit (negative) to the function comprising seven variables via area of land acquisition, interest rates on credit of Bank, distance to (Jakarta, TOL and center of government Tangerang City), density of the roads, and population.The present of the location permit to the housing during 1993-1999 was causing the land use changes of farm to the land housing, i.e. that largest from the wastelands, then the land mixed garden and the wet rice fields Ix. Whereas the negleted land is indicate that about 71,18 percent from area of land acquisition was estimated to the negleted land.Key words: land need, location permit, housing development, developer, land acquisition, landuse, land use change of farm, negleted land "

"The book comprehensively reviews the current knowledge on how natural and anthropogenic land-use/cover changes affect weather, air quality and climate worldwide and explains how these changes may trigger further land-use/cover changes."

"Penelitian ini mengembangkan model prediktif berbasis Spatial Machine Learning (SML) untuk menganalisis kerentanan multi-bencana pada lahan pertanian di Kabupaten Magelang. Metodologi penelitian mengintegrasikan lima algoritma machine learning yaitu Decision Tree, Random Forest, Support Vector Machine, Artificial Neural Network, dan Gradient Boosting Machine dengan. Model Random Forest menunjukkan performa terbaik dengan nilai AUC 0.81-0.96 untuk semua jenis bencana, dengan akurasi di atas 0.77 dan nilai kappa 0.53-0.79. Hasil analisis mengidentifikasi bahwa 11.11% wilayah (12,522.75 hektar) memiliki potensi bencana kebakaran hutan dan lahan, sementara 22.90% wilayah (25,811.38 hektar) berisiko mengalami kombinasi kekeringan, kebakaran hutan dan lahan, serta banjir. Kecamatan Ngablak dan Pakis teridentifikasi sebagai area dengan kerentanan tertinggi, masing-masing mencatatkan area kerentanan tinggi seluas 507.25 Ha dan 779.51 Ha. Analisis frequency ratio menunjukkan bahwa kemiringan lereng (frequency ratio 1.99-2.0) dan litologi (frequency ratio 1.82-2.0) memiliki pengaruh paling signifikan terhadap kejadian bencana, diikuti oleh faktor curah hujan dan penggunaan lahan yang bervariasi untuk setiap jenis bencana. Model yang dikembangkan berhasil mengintegrasikan analisis multi-bencana dan memberikan pendekatan sistematis dalam menganalisis pola spasial kerentanan bencana pada lahan pertanian.

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This research develops a Spatial Machine Learning (SML)-based predictive model to analyze multi-hazard vulnerability in agricultural lands in Magelang Regency. The research methodology integrates five machine learning algorithms: Decision Tree, Random Forest, Support Vector Machine, Artificial Neural Network, and Gradient Boosting Machine. The Random Forest model shows the best performance with AUC values of 0.81-0.96 for all types of hazards, with accuracy above 0.77 and kappa values of 0.53-0.79. The analysis results identify that 11.11% of the area (12,522.75 hectares) has potential for forest and land fires, while 22.90% of the area (25,811.38 hectares) is at risk of experiencing a combination of drought, forest and land fires, and floods. Ngablak and Pakis Districts are identified as areas with the highest vulnerability, recording high vulnerability areas of 507.25 Ha and 779.51 Ha respectively. Frequency ratio analysis shows that slope (frequency ratio 1.99-2.0) and lithology (frequency ratio 1.82-2.0) have the most significant influence on disaster occurrence, followed by rainfall and land use factors that vary for each type of disaster. The developed model successfully integrates multi-hazard analysis and provides a systematic approach to analyzing spatial patterns of disaster vulnerability in agricultural lands."