Jurnal Ilmu Tanah dan Lingkungan
Not a member yet
301 research outputs found
Sort by
Land Use Planning for Local Banana in Flood Prone Areas of Katingan Regency
No full textPisang merupakan komoditas penting keempat di dunia dan Indonesia yang berkontribusi tinggi terhadap sektor hortikultura. Tingginya permintaan akan pisang menuntut peningkatan produksi yang signifikan, sehingga sumberdaya lahan menjadi sangat penting untuk dikembangkan salah satunya di Kabupaten Katingan. Tujuan penelitian ini adalah mengevaluasi potensi areal perluasan untuk pisang lokal di Kabupaten Katingan. Kesesuaian lahan dievaluasi dengan pendekatan Multi-Criteria Desicion Making (MCDM) menggunakan Analytical Network Process (ANP) dan analisis spasial. Ketersediaan lahan dianalisis dengan mengintegrasikan status kawasan dan pola ruang. Selain itu, mempertimbangkan berbagai tingkatan area rawan banjir . Jenis tanah, tekstur tanah, dan drainase tanah, dan curah hujan menjadi kriteria penting dalam menentukan kesesuaian lahan untuk pisang lokal. Hasil menunjukkan bahwa lahan yang sesuai untuk pisang lokal mencapai 79% atau 16.079,5 (102) ha, dengan kelas kesesuaian didominasi pada kelas S2 (60%). Lahan tersedia dan sesuai untuk pisang lokal dengan berbagai tingkat kerawanan banjir seluas 12% (2.418,1 (102) dari total wilayah studi. Hasil keseluruhan menunjukkan potensi tinggi lahan yang dialokasikan untuk produksi pisang lokal, dengan rekomendasi untuk memperluas area pengembangan pertanian di Kabupaten Katingan. Selain itu, memberikan landasan bagi pemangku kepentingan untuk meningkatkan produksi pisang lokal secara berkelanjutan, mendukung ekonomi lokal, dan meningkatkan kesejahteraan masyarakat di Kabupaten Katingan.Bananas are the fourth most crucial commodity globally and in Indonesia, significantly contributing to the horticulture sector. The high demand for bananas requires a substantial increase in production, making land resources crucial for development, such as in the Katingan Regency. The purpose of this research is to evaluate the potential areas for the expansion of local banana cultivation in Katingan Regency. Land suitability is evaluated using a Multi-Criteria Decision Making (MCDM) approach with the Analytical Network Process (ANP) and spatial analysis. Land availability is analyzed by integrating land status and spatial planning while also considering different levels of flood-prone areas. Soil type, soil texture, soil drainage, and rainfall are critical criteria in determining land suitability for local bananas. The results indicate that suitable land for local bananas accounts for 79% or 16,079.5 (102) ha, with the suitability class predominantly in class S2 (60%). Available and suitable land for local bananas with varying levels of flood risk covers 12% (2,418.1 (102) of the total study area. The Overall results show a high potential for land allocation for local banana production, with recommendations to expand agricultural development areas in Katingan Regency. Furthermore, it provides a foundation for stakeholders to sustainably increase local banana production, support the local economy, and improve the welfare of the community in Katingan Regency
Mapping of Soil pH and NPK Nutrients on Peat Agricultural Land in Kalampangan Village, Palangka Raya City
Full text linkKalampangan Village is one of the villages in Sebangau District, Palangka Raya City, Central Kalimantan Province. Kalampangan Village has an area of 5000Ha with a population of 4000 people. The main livelihood of the population is farming. Farmers convert peatlands into agricultural land to grow food crops. The main challenge of farming on peatlands is the high acidity value of peat soil which causes low soil nutrient content and decreases soil fertility. Therefore, this study aims to map the distribution of nutrient content and acidity of peat agricultural soil in Kelampangan Village. Data measurement in agricultural land was carried out using the Soil Sensor 5 Pin Probe RS485 NPKPHCTH-HMI043 by inserting the sensor feet into the ground and the results will be displayed on the HMI touch screen. While the coordinate points of data collection use the Global Positioning System. The data measurements obtained were analyzed using the Geographic Information System (GIS) application to produce a thematic map of the distribution of soil pH and NPK nutrients. The results show that peat agricultural land in Kalampangan tends to be slightly acidic (pH 4.48-6.64) with majority low N (0-1.24 mg/kg), P (0-18.44 mg/kg), and K (0-14.61 mg/kg) content. The resulting thematic map can be used as a reference for farmers to process peat agricultural land to be more productive, for local governments in formulating agricultural policies, and contribute to the development of science in the field of soil science
Potensi Ketersediaan Lahan Jagung untuk Mendukung Pasokan Biomassa Tongkol Jagung Berkelanjutan ke Pabrik CBG di Kabupaten Lombok Barat
Full text linkLand availability is crucial and determines the supply of corn cobs through sustainable corn cultivation to ensure the continuous production of compressed biogas (CBG). This study aims to assess the potential land for corn cultivation and the sustainability value of the corn cob supply for the CBG plant. The methods used in this study include overlaying land cover maps, spatial planning maps, and forest area maps, as well as conducting a Multiaspect Sustainability Analysis (MSA) to evaluate its sustainability level. The overlay results indicate that the potential additional land for corn cultivation in West Lombok Regency is 14,297 hectares. Meanwhile, the sustainability analysis reveals that the ecological aspect falls into the moderately sustainable category with a score of >50, namely 66.67. The social aspect has a sustainability score of 60, while the technology and infrastructure aspect scores 75, and the legal and institutional aspect also scores 66.67. The economic aspect is classified as less sustainable, with a score of <50, specifically 43.75. Overall, the sustainability status of the corn cob supply is categorized as moderately sustainable, with a score of 62.42.Ketersediaan lahan sangat penting dan menentukan pasokan tongkol jagung, melalui budidaya jagung yang berkelanjutan guna memastikan produksi compresed biogas (CBG) berlangsung terus. Penelitian ini bertujuan untuk megetahui potensi lahan tanaman jagung serta nilai keberlanjutan dari pasokan tongkol jagung untuk pabrik CBG. Metode yang digunakan dalam penelitian ini, yaitu melalui overlay peta tutupan lahan, peta tata ruang dan peta kawasan hutan, serta analisis Multiaspect Sustainability Analysis (MSA) untuk menilai tingkat keberlanjutannya. Dari hasil overlay diperoleh bahwa potensi lahan tambahan untuk tanaman jagung di Kabupaten Lombok Barat sebesar 14,297 ha. Sementara dari hasil analisis keberlanjutan status keberlanjutan Aspek Ekologi masuk dalam kategori cukup berkelanjutan karena memiliki nilai >50, yaitu 66.67. Pada Aspek Sosial nilai keberlanjutannya adalah 60, sedangkan pada Aspek Teknologi dan Infrastruktur nilainya 75, pada Aspek Hukum dan Kelembagaan memiliki nilai 66.67. Aspek Ekonomi termasuk dalam kategori kurang berkelanjutan karena memiliki nilai <50, yaitu 43.75. Secara keseluruhan, status keberlanjutan pasokan tongkol jagung berada pada status cukup berkelanjutan dengan nilai 62.42
Arbuscular Mycorrhizal Fungi (AMF) Application from the Rhizosphere of Ornamental Plants as Biofertilizer to Enhance the Growth of Sorghum (Sorghum bicolor)
Full text linkProduktivitas sorgum di Indonesia yang masih rendah mendorong pemanfaatan budidaya berkelanjutan. Penelitian ini bertujuan mengetahui sebaran spora FMA pada tanaman hias yang diseleksi, menganalisis pengaruh inokulasi kultur trapping terhadap kepadatan spora dan pengaruh pemberian FMA terhadap pertumbuhan tanaman sorgum. Studi dilakukan Januari-Juni 2025, meliputi identifikasi sebaran spora FMA pada 14 tanaman hias, analisis kultur trapping terhadap kepadatan spora, dan pengaruh aplikasi FMA pada pertumbuhan sorgum. Rancangan Acak Lengkap Faktorial (RALF) digunakan dengan faktor aplikasi mikoriza (tanpa/dengan) dan komposisi media tanam (BIOPOS, sekam, zeolit, dan kombinasinya). Parameter tinggi tanaman dan jumlah daun diamati pada hari ke-30 HST, dianalisis dengan ANOVA dan DMRT (α=5%). Hasil menunjukkan tanaman hias Bugenvil (Bogainvillea sp.) memiliki kepadatan spora FMA tertinggi, dari 14 tanaman hias dominasi genus Glomus (69.23%) dan Acaulospora (30.77%). Kultur trapping pada tanaman hias Kemuning (Murraya paniculata) (L.) (Rutaceae) menghasilkan kepadatan spora tertinggi (429 spora per 10 g tanah), menjadikannya sumber inokulum potensial. Aplikasi mikoriza dan komposisi media tanam secara signifikan meningkatkan pertumbuhan sorgum. Interaksi mikoriza dengan BIOPOS (A2K1) memberikan pertumbuhan terbaik (tinggi 60.02 cm; 5.50 helai daun), jauh melampaui perlakuan tanpa mikoriza. FMA dari rizosfer tanaman hias berpotensi besar meningkatkan pertumbuhan sorgum, terutama dikombinasikan dengan media tanam yang sesuai seperti BIOPOS, mendukung budidaya sorgum berkelanjutan.The low productivity of sorghum in Indonesia encourages the use of sustainable cultivation. This study aims to determine the distribution of FMA spores on selected ornamental plants, analyze the effect of culture trapping inoculation on spore density, and the effect of FMA application on sorghum plant growth. The study was conducted from January to June 2025, including the identification of FMA spore distribution on 14 ornamental plants, analysis of trapping culture on spore density, and the effect of FMA application on sorghum growth. A Complete Randomized Factorial Design (CRFD) was used with factors of mycorrhiza application (without/with) and growing medium composition (BIOPOS, rice husk, zeolite, and their combinations). Plant height and number of leaves were observed on day 30 after sowing (DAS), analyzed using ANOVA and DMRT (α=5%). The results showed that ornamental plants of Bougainvillea (Bogainvillea sp.) had the highest FMA spore density, with 14 ornamental plants dominated by the genera Glomus (69.23%) and Acaulospora (30.77%). Trapping culture on ornamental plants of Kemuning (Murraya paniculata) (L.) (Rutaceae) produced the highest spore density (429 spores per 10 g soil), making it a potential inoculum source. The application of mycorrhizae and soil medium composition significantly enhanced sorghum growth. The interaction between mycorrhiza and BIOPOS (A2K1) yielded the best growth (height 60.02 cm; 5.50 leaves), far exceeding the treatment without mycorrhiza. FMA from the rhizosphere of ornamental plants has great potential to enhance sorghum growth, especially when combined with suitable growing media such as BIOPOS, supporting sustainable sorghum cultivation
PERKIRAAN EMISI GRK BERBASIS PERUBAHAN PENGGUNAAN LAHAN PADA POLA RUANG PULAU RUPAT
No full textPulau Rupat, dengan 77.39% dari total wilayah daratan 152,371 ha merupakan lahan gambut, mengalami deforestasi, degradasi hutan, dan konversi lahan, sehingga menjadikannya daerah yang rentan terhadap pelepasan emisi gas rumah kaca (GRK) sekaligus strategis untuk pengendalian emisi berbasis lahan. Penelitian ini bertujuan memperkirakan emisi GRK sektor LULUCF melalui identifikasi perubahan penutupan/penggunaan lahan tahun 2000, 2010, dan 2020. Penghitungan emisi dilakukan dengan pendekatan stock difference cadangan biomassa atas permukaan sebagai faktor emisi/serapan setiap penutupan/penggunaan lahan. Proyeksi emisi tahun 2030 dan 2040 dihitung dengan membandingkan perubahan penutupan dan penggunaan lahan historis dengan prediksi penutupan dan penggunaan lahan (skenario Business as Usual/BAU ). Nilai emisi tersebut kemudian dibandingkan dengan nilai emisi sesuai Rencana Tata Ruang Wilayah (RTRW) 2022–2042 (skenario RTRW). Hasil penelitian menunjukkan tren penurunan emisi dari perubahan penutupan/penggunaan lahan dan dekomposisi gambut, yaitu dari 10.37 juta ton CO₂ pada periode 2000–2010 menjadi 7.99 juta ton CO₂ pada periode 2010–2020. Total emisi BAU juga memperlihatkan penurunan, dengan perkiraan 3.79 juta ton CO₂ untuk periode 2020–2030 dan 3.45 juta ton CO₂ untuk periode 2030–2040. Sementara, total emisi berdasarkan skenario RTRW periode 2022–2042 diperkirakan 113% lebih rendah dibandingkan dengan skenario BAU periode 2020–2040 yang mencapai 3.95 juta ton CO2.Rupat Island, with 77.39% of its total land area of 152,371 ha consisting of peatlands, has experienced deforestation, forest degradation, and land conversion, making it both vulnerable to greenhouse gas (GHG) emissions and strategically important for land-based emission control. This study aims to estimate GHG emissions from the LULUCF sector through the identification of land cover/use changes in 2000, 2010, and 2020. Emission calculations were conducted using the stock difference approach of aboveground biomass as emission/sequestration factors for each land cover/use category. Emission projections for 2030 and 2040 were derived by comparing historical land cover/use changes with predicted land cover/use under the Business as Usual (BAU) scenario. These values were then compared with emissions estimated under the Spatial Planning (RTRW) scenario for 2022–2042. The results indicate a declining trend in emissions from land cover/use changes and peat decomposition, decreasing from 10.37 million tons of CO₂ in 2000–2010 to 7.99 million tons of CO₂ in 2010–2020. Total BAU emissions also show a reduction, estimated at 3.79 million tons of CO₂ for 2020–2030 and 3.45 million tons of CO₂ for 2030–2040. Meanwhile, total emissions under the RTRW scenario for 2022–2042 are projected to be 113% lower compared to BAU emissions for 2020–2040, which reached 3.95 million tons of CO₂
Classification of Horticultural Commodities based on Multispectral UAV Image with k-Nearest Neighbor and Minimum Distance Approach.
No full textHortikultura merupakan subsektor pertanian yang meliputi tanaman buah, sayur, bunga, dan tanaman hias yang berperan penting dalam mendukung perekonomian nasional. Pemantauan dan penilaian budidaya hortikultura untuk menjaga dan meningkatkan kualitas produksi hortikultura dapat memanfaatkan teknologi penginderaan jauh. Citra penginderaan jauh bervariasi dari resolusi rendah seperti MODIS (1 km), sedang seperti Landsat (30 m) dan Sentinel-2A (20, 10 m), hingga tinggi seperti IKONOS (1– 4 m) dan citra Unmanned Aerial Vehicle/UAV (< 1 m). Untuk lahan pertanian hortikultura yang memiliki petakan kecil dapat digunakan UAV sebagai alternatif karena memiliki resolusi yang tinggi. Penelitian ini bertujuan menganalisis pola spektral tanaman hortikultura berdasarkan citra UAV multispektral, memetakan tanaman hortikultura dengan metode k-Nearest Neighbor (k-NN) dan Minimum Distance Classification (MDC), dan menganalisis tingkat ketelitian klasifikasi tanaman hortikultura menggunakan kedua metode tersebut. Lokasi penelitian berada di Kebun Percobaan Pasir Sarongge, Kabupaten Cianjur menggunakan data observasi lapang dan citra UAV multispektral akuisisi 6 November 2022. Analisis pola spektral sampel dilakukan dengan mengambil area sampel dari 11 kelas yang meliputi hortikultura dan non hortikultura yang selanjutnya dibuat kurva karakteristik spektral. Klasifikasi citra menggunakan metode k-NN dan MDC. Hasil penelitian menunjukkan bahwa respon spektral hortikultura pada tampak mata rendah yang mana band hijau sedikit lebih tinggi dari band merah, sedangkan pada band tepi merah terjadi peningkatan secara signifikan dan terus meningkat di band NIR. Hasil klasifikasi tanaman hortikultura pada kedua metode menunjukkan perbedaan luasan karena perbedaan algoritma pengklasifikasi. Urutan luas terbesar sampai terkecil pada k-NN adalah cabai, wortel, kentang, pisang, kubis, bawang merah, dan tomat. Sementara itu, urutan terbesar sampai terkecil pada MDC adalah cabai, pisang, wortel, kubis, kentang, bawang merah, dan tomat. Akurasi keseluruhan klasifikasi untuk k-NN dan MDC masing-masing sebesar 89.37% dan 51.48%.Horticulture is an agricultural subsector that includes fruit, vegetable, flower and ornamental plants that play an important role in supporting the national economy. Monitoring horticultural cultivation to maintain and improve the quality of horticultural production can utilize remote sensing technology. Remote sensing imagery varies from low resolution such as MODIS (1 km), medium such as Landsat (30 m) and Sentinel-2A (20, 10 m), to high such as IKONOS (1– 4 m). In horticultural agricultural land with a small area, UAV can be used as an alternative because it has high resolution. This study aims to analyze the spectral patterns of horticultural crops based on multispectral UAV images, to map horticultural crops using the k-Nearest Neighbor (k-NN) and Minimum Distance Classification (MDC) methods, and to analyze the level of accuracy of horticultural crop classification using both methods, The research location is at the Pasir Sarongge Experimental Garden, Cianjur Regency using field observation data and multispectral UAV imagery acquired on November 6, 2022. The analysis of the sample spectral patterns was carried out by taking sample areas from 11 classes including horticulture and non-horticulture which were then used to create spectral characteristic curves. Image classification using the k-NN and MDC methods was assessed based on overall accuracy through an error matrixs. The results of the study showed that the spectral response of horticulture was low in visible light where the green band was slightly higher than the red band, while in the red edge band there was a significant increase and continued to increase in the NIR band. The classification of horticultural plants in both methods shows differences in area due to differences in classifier algorithms. The order of the largest to smallest area in k-NN is chili, carrot, potato, banana, cabbage, onion, and tomato. Meanwhile, the order of the largest to smallest in MDC is chili, banana, carrot, cabbage, potato, onion, and tomato. The overall classification accuracy for k-NN and MDC is 89.37% and 51.48% respectively
Analisis Sifat Fisika Tanah (Tekstur, Bobot Isi, dan Permeabilitas) pada Perkebunan Kakao Jatirono Kabupaten Banyuwangi
Full text linkKalibaru District is an area in Banyuwangi Regency that has quite a large potential in the agricultural sector, such as Jatirono cocoa farming in Kajarharjo Village. However, the condition of the cocoa plants which tend to be dry and the fruit yields are less than optimal is one of the reasons this study was conducted. The purpose of this study was to determine the factors causing less than optimal growth of cocoa plants by analyzing the physical properties of the soil such as texture, bulk density, and soil permeability. The research methods used were survey methods and laboratory analysis. The soil sampling points for laboratory analysis were taken at 5 points (A, B, C, D, E) with point A as the center point, then points B and D were 50 meters from point A, while points C and E were 62.5 meters from point A. The results obtained for the texture indicators from the five sample points were sandy loam and clay, for the bulk density indicator the results were medium and high, and for the permeability indicator the results were fast and rather fast. So it can be concluded that the sandy clay texture with a more dominant percentage of sand fraction has a texture that tends to be coarse, this texture affects the bulk density of the soil where sand has a greater bulk density compared to clay, this texture also causes the soil\u27s ability to pass water high or fast.Kecamatan Kalibaru merupakan wilayah di Kabupaten Banyuwangi yang mempunyai potensi cukup besar dalam bidang pertanian, seperti usaha tani kakao Jatirono di Desa Kajarharjo. Namun kondisi tanaman kakao yang cenderung kering dan hasil buahnya kurang maksimal menjadi salah satu alasan penelitian ini dilakukan. Tujuan penelitian ini adalah untuk mengetahui faktor penyebab kurang optimalnya pertumbuhan tanaman kakao dengan menganalisis sifat fisik tanah seperti tekstur, bobot isi, dan permeabilitas tanah. Metode penelitian yang digunakan adalah metode survei dan analisis laboratorium. Titik pengambilan sampel tanah untuk analisis laboratorium diambil 5 titik (A, B, C, D, E) dengan titik A sebagai titik pusat, lalu titik B dan D berjarak 50 meter dari titik A, sedangkan titik C dan E berjarak 62.5 meter dari titik A. Hasil yang diperoleh untuk indikator tekstur dari ke lima titik sampel yaitu lempung berpasir dan lempung, untuk indikator bobot isi diperoleh hasil sedang dan tinggi, dan untuk indikator permeabilitas diperoleh hasil cepat dan agak cepat. Jadi dapat disimpulkan bahwa tekstur lempung berpasir dengan persentase fraksi pasir yang lebih dominan mempunyai tekstur yang cenderung kasar, tekstur ini mempengaruhi bobot isi tanah di mana pasir mempunyai bobot isi lebih besar dibandingkan dengan tanah liat, tekstur ini juga menyebabkan kemampuan tanah dalam meloloskan air tinggi atau cepat.
Application of Multispectral Drone-Based Vegetation Indices for Assessing Growth Conditions in Irrigated Paddy Rice
Full text linkMonitoring on irrigated rice field is crucial to anticipate crop damage due to drought and flooding. However, conventional observation methods present complex challenges such as observer bias, point-based data, and limited observational coverage. Observations assisted by multispectral (MS) camera technology mounted on unmanned aerial vehicles (UAVs/drones) were able to address these issues but are still underdeveloped. This study reports the potential use of multispectral cameras mounted on a drone to assess the effects of drought and inundation on rice crops using vegetation indices such as the Normalized Difference Water Index (NDWI), Normalized Difference Vegetation Index (NDVI), and Normalized Difference Red-Edge Index (NDRE). Observations were conducted three times during the vegetative (10 days after transplanting), generative (45 days after transplanting), and ripening (80 days after transplanting) stages on Ciherang and IR64 rice varieties. The rice plants were subjected to different irrigation treatments: drying, flooding, and control. The results showed that the NDRE index had a poor response to vegetation during the vegetative stage but improved during the generative and maturation stages. Meanwhile, the growth of weeds among the rice plants affected the NDVI and NDWI values, especially under dry conditions, making these indices less reliable in such scenarios.Deteksi kondisi tanaman padi sawah beririgasi penting dilakukan untuk mengantisipasi kegagalan panen akibat kekeringan dan banjir. Namun pengamatan kondisi padi sawah secara konvensional menyisakan permasalahan kompleks seperti bias pengamat, data berbasis titik, dan cakupan pengamat yang terbatas. Pengamatan dengan bantuan teknologi kamera multispektral (MS) menggunakan wahana tanpa awak (UAV/Drone) dapat membantu mengatasi masalah-masalah di atas, meskipun penerapannya belum banyak dikembangkan. Penelitian ini bertujuan untuk mengevaluasi efektivitas tiga indeks vegetasi NDWI, NDVI, and NDREberbasis citra mutispektral berbasis drone dalam memantau kondisi tanaman padi serta mendeteksi dampak kekeringan dan penggenangan terhadap pertumbuhannya. Pengamatan dilakukan tiga kali pada fase vegetatif (10 HST, generatif (45 HST), dan pematangan (80 HST) terhadap padi varietas Ciherang dan IR64. Tanaman padi diberi perlakuan pengairan yaitu pengeringan, penggenangan, dan kontrol. Hasil penelitian menunjukkan bahwa indeks NDRE memiliki respon terhadap vegetasi yang kurang baik pada pertumbuhan fase vegetatif, tetapi meningkat lebih baik pada fase pertumbuhan generatif dan pematangan. Sementara itu, pertumbuhan gulma di antara tanaman padi menunjukkan pengaruh terhadap nilai NDVI dan NDWI terutama di perlakuan kering, sehingga nilai tersebut kurang dapat diandalkan
Dampak Pembangunan Jalan Tol Soreang-Pasirkoja Terhadap Kondisi Ekonomi dan Lingkungan di Wilayah Sekitarnya
Full text linkThe construction of the Soreang-Pasirkoja Toll Road (Soroja) aims to improve connectivity and encourage economic growth in the Bandung area and its surroundings. This study aims to analyze land cover change as well as the economic and environmental impacts caused by the construction of the Soroja Toll Road. The methods used include spatial analysis of land cover changes in 2017-2023 and the Analytical Hierarchy Process (AHP) approach to assess the priority of impacts and formulate recommendations. The results of the study indicate that the construction of the Soroja toll road has caused significant conversion of agricultural land into developed areas by 10,21%, leading to a decline in food production and changes in the livelihood structure of the community. The recommendations include the need to monitor spatial planning, creating green open spaces, managing proper drainage to mitigate environmental deterioration, and involving communities and the government to reduce the impacts caused by the construction of the Soroja Toll Road.Pembangunan Jalan Tol Soreang–Pasirkoja (Soroja) bertujuan meningkatkan konektivitas dan mendorong pertumbuhan ekonomi di wilayah Bandung dan sekitarnya. Penelitian ini memiliki tujuan menganalisis perubahan tutupan lahan serta dampak ekonomi dan lingkungan yang ditimbulkan oleh pembangunan tol Soroja. Metode yang digunakan meliputi analisis spasial perubahan tutupan lahan tahun 2017–2023 dan pendekatan Analytical Hierarchy Process (AHP) untuk menilai prioritas dampak dan merumuskan rekomendasi. Hasil penelitian menunjukkan bahwa pembangunan tol Soroja menyebabkan konversi signifikan lahan persawahan menjadi kawasan terbangun yaitu sebesar 10,21% yang berdampak pada perubahan struktur mata pencaharian masyarakat. Rekomendasi yang disusun memperhatikan pola tata ruang, pembuatan ruang terbuka hijau, pengelolaan drainase yang baik sebagai bentuk implementasi mitigasi lingkungan, dan pelibatan masyarakat dan pemerintah dalam mitigasi dampak yang ditimbulkan oleh pembangunan jalan Tol Soroja
Analysis of The Chemical Properties of Ultisol After Addition of Solid Compost and Coal Fly Ash
Full text linkThis study aimed to evaluate the effects of applying solid compost and coal fly ash on the improvement of Ultisol chemical properties and to determine the optimal dosage for its application. Ultisol, known for its high acidity, low organic matter content, and limited nutrient availability, requires specific amendments for optimization. The study was conducted using a factorial completely randomized design (CRD) with 12 treatment combinations: four levels of solid compost (0 t.ha-1, 2,5 t.ha-1, 5 t.ha-1 dan 7,5 t.ha-1) and three levels of fly ash (0 t.ha-1, 3 t.ha-1 and 6 t.ha-1), each with three replications. The soil that has been treated is incubated for two weeks, then the chemical properties of the soil are analyzed. The results showed that the combination of solid compost and fly ash significantly improved Ultisol chemical properties, including increasing soil pH, reducing Al-dd levels, and enhancing P-available, organic carbon (organic C), total nitrogen (total N), cation exchange capacity (CEC), and total potassium (total K). The combination of 7,5 t.ha-1 solid compost and 6 t.ha-1 fly ash provided the best results, achieving a soil pH of 5.15, an increase available P to 23.7 ppm, and a high CEC level. This combination effectively improved Ultisol quality, making it more supportive for plant growth.Penelitian ini bertujuan untuk mengevaluasi pengaruh pemberian kompos solid dan fly ash batubara terhadap perbaikan sifat kimia Ultisol, serta menentukan dosis terbaik dalam aplikasinya. Tanah Ultisol yang dikenal bermasalah dengan keasaman tinggi, rendahnya bahan organik, dan ketersediaan unsur hara memerlukan pendekatan khusus untuk optimalisasi. Penelitian dilakukan secara eksperimental menggunakan rancangan acak lengkap (RAL) faktorial dengan 12 kombinasi perlakuan, yaitu empat taraf dosis kompos solid (0 t.ha-1, 2,5 t.ha-1, 5 t.ha-1 dan 7,5 t.ha-1) dan tiga taraf dosis fly ash (0 t.ha-1, 3 t.ha-1 dan 6 t.ha-1), masing-masing dengan tiga ulangan. Tanah yang telah di aplikasikan perlakuan di inkubasi selama dua minggu, lalu kemudian dianalisis sifat kimia tanahnya. Hasil penelitian menunjukkan bahwa kombinasi kompos solid dan fly ash secara signifikan meningkatkan sifat kimia Ultisol, termasuk peningkatan pH tanah, penurunan nilai Al-dd, serta peningkatan kandungan P-tersedia, C-organik, N-total, kapasitas tukar kation (KTK), dan K-total. Kombinasi dosis 7,5 t.ha-1 kompos solid dan 6 t.ha-1 fly ash memberikan hasil terbaik, menghasilkan tanah dengan pH 5,15, peningkatan P-tersedia hingga 23,70 ppm, serta peningkatan KTK ke kategori tinggi. Penggunaan kombinasi ini terbukti efektif untuk memperbaiki kualitas Ultisol sehingga lebih mendukung pertumbuhan tanaman