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Landuse Changes Refer to Spatial Planning Regulations at Kelara Watershed Area: An Analysis Using Geospatial Information Technology Andi Ramlan; Risma Neswati; Sumbangan Baja; Muhammad Nathan
Forum Geografi Vol 29, No 1 (2015): July 2015
Publisher : Universitas Muhammadiyah Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23917/forgeo.v29i1.795

Abstract

The purpose of this study is to analyze land use changes in the Kelara watershed and to assess the suitability of current land use changes with the spatial planning regulation of Jeneponto within Kelara basin. This study integrates various survey techniques, remote sensing, and geographic information system technology analysis. Geospatial information used in this study consists of Landsat ETM 7+ satellite imagery (2009) and Landsat 8 (2014) as well as a number of spatial data based on vector data which is compiled by the Jeneponto Government. Remote sensing data using two time series (2009 and 2014) are analyzed by means of supervised classification and visual classification.  The analysis indicated that land use type for the paddy fields and forests (including mangroves) converted become a current land use which is inconsistent with the spatial planning regulation of Jeneponto.The use of land for settlement tends to increase through conversion of wetlands (rice fields). These conditions provide an insight that this condition will occur in the future, so that providing the direction of land use change can be better prepared and anticipated earlier.
Land Suitability Index for Estimating Sugar Cane Productivity in the Humid Tropics of South Sulawesi Indonesia Risma Neswati; Christianto Lopulisa; Muhammad Nathan; Andi Ramlan
JOURNAL OF TROPICAL SOILS Vol 21, No 2: May 2016
Publisher : UNIVERSITY OF LAMPUNG

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5400/jts.2016.v21i2.115-122

Abstract

This research was completed using mixed qualitative and quantitative methods. Field surveys were executed in sugar cane plantation throughout South Sulawesi Indonesia. Land suitability analyses were performed using a parametric approach with Storie’s index equation followed up with  correlation analysis using the Pearson correlation. Results revealed that the period for sugarcane crop growth in the humid tropic relatively dry regions of South Sulawesi Indonesia lasted for the months of November to July.  The land suitability for sugar cane in the research location was moderately suitable (S2c) and marginally suitable (S3c, S3s, S3s,f and S3c,w) with limiting factors such as relative humidity during crop maturation phase, the duration of sunlight, soil depth, soil texture, soil pH and soil drainage. Land suitability index at the research location ranged from 25.2 to 55.0; sugar cane yields ranged from 30.3 to 62.0 Mg ha-1 year-1. Pearson correlation coefficient (r) between LSI with cane and sugar productivity were 0.81 and 0.84 respectively, signifying the strength of the correlation between the two values. This also indicates that land suitability index can be estimating the potential crop yield in the humid tropicsthat relatively dry climate regions.
Characterization and Classification of Soils from Different Topographic Positions under Sugarcane Plantation in South Sulawesi, Indonesia Risma Neswati; Christianto Lopulisa; Ahmad Faudzan Adzima
JOURNAL OF TROPICAL SOILS Vol 24, No 2: May 2019
Publisher : UNIVERSITY OF LAMPUNG

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5400/jts.2019.v24i2.93-100

Abstract

The varied topography will influence the soil formation. This study aims to characterize and classify the soil selected on different topography positions of the sugarcane plantation area. The research was conducted in sugarcane plantation area of Camming, District of Bone, South Sulawesi, which was carried out from November 2017 to March 2018. This study used a descriptive method, observation and description of the nine soil profiles at three transects. Each transect consisted of three profiles points located in different positions, consisting of summit, backslope, and valleys. Each horizon soil samples were analyzed for their physical, chemical and micromorphology characteristics in the laboratory. Soil classification system was done by using soil taxonomy to the level of subgroups. The results showed that an average rainfall annual on the research location was 2.200 mm per year. Soil characteristics such as soil solum, cation exchange capacity, and sum of basic cations tended to increase in parts of the valley than in the back and summit. The primary mineral from the sand fraction included quartz, calcite, biotite, opaque, and orthoclase found especially in the position of the back and valley. The pore types consisted of vugh and packing void pores. Pedofeature type of soil was generally in the form of concretions and nodules that showed the process of oxidation and reduction. The soil type in the study area was classified into Typic Haplustepts and Typic Haplustalf.
Dryland land-use conflicts in humid tropics: an analysis using geographic information systems and land capability evaluations Risma Neswati; Sumbangan Baja; Samsu Arif; Hasni Hasni
SAINS TANAH - Journal of Soil Science and Agroclimatology Vol 17, No 1 (2020): June
Publisher : Universitas Sebelas Maret

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1301.717 KB) | DOI: 10.20961/stjssa.v17i1.37824

Abstract

This study analyses land-use conflicts in specific dryland agricultural areas in relatively dry humid tropics based on the Regional Spatial Land Use Planning Regulations and land-capability evaluation. This research was conducted in the Regency of Jeneponto, South Sulawesi, Indonesia. The observation site was chosen based on several maps overlapping to produce 30 land units spread across 14 land systems in Jeneponto. This study integrates ground surveys and geographic information systems technology. The land capability analysis used a simple approach factor, according to United States Department of Agriculture definitions. The results indicate that land capability was dominated by Class IV, which covered 35,133 ha or 63.1%. Class VI covered 12,581 ha or 22.6%, Class III covered up to 4,378 ha or 7.9%, and Class VIII covered 3,130 ha or 5.6%. Class VII covered only 486 hectares, or 0.9%, the smallest area. These results indicate that the dryland area which had become a land-use conflict was delineated by Regional Spatial Land Use Planning Regulations. The drylands found in Jeneponto cover 22,214 ha or 39.9%, which has been divided into two: an area where non-dryland agriculture was converted into dryland farming (16,503 hectares, or 29.6%), and an area where dryland-farming was converted into non-agricultural dryland area (5,711 hectares, or 10.3%). Interviews with 50 farmers in the study location revealed factors that had changed agricultural dryland use into non-agricultural dryland use; lower incomes due to decreased soil fertility was a crucial factor.
Improvement of post-nickel mining soil fertility with biochar and calcite Muhammad Jayadi; Kadar Wahid; Risma Neswati; Andri Andriansyah
Journal of Degraded and Mining Lands Management Vol 10, No 1 (2022)
Publisher : Brawijaya University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15243/jdmlm.2022.101.3803

Abstract

Reclamation of post-nickel mining soil requires a long process and renewable innovations to improve soil properties. One of the alternative technologies for post-mining soil reclamation is utilizing oil palm empty fruit bunches (OEFB) as biochar and applying calcite (CaCO3). The objective of this research was to determine the effect of OEFB and the application of CaCO3 on the properties of post- nickel mining soil and the growth of Mucuna sp. This research was a pot experiment using a factorial randomized block design method. Treatments tested were combinations of three OEFB biochar (B) levels, i.e., B1 = 2.5%, B2 = 5%, and B3 = 7.5% of soil weight, and three calcite (K) dosages, i.e., K1 = 1.5, K2 = 3, K3 = 4.5 t ha-1. The soil parameters measured included soil pH, available P, organic C, cation exchange capacity, and exchangeable Al, Ca, Mg, K, and Na. The parameters of Mucuna sp. measured were plant height and plant dry weight. The results showed that applying biochar and calcite to post nickel mining soil significantly increased soil pH, available P, organic C, cation exchange capacity, growth of Mucuna sp. and decreased exchangeable Al content. Treatment of biochar 7.5% by weight of soil and 4.5 t calcite ha-1 gave the best effect on improving soil fertility and growth of Mucuna sp. compared to other treatments.
Drone-Based Vegetation Index Analysis to Estimated Nitrogen Content on The Rice Plantations Ahmad Fauzan Adzima; Risma Neswati; Sartika Laban; Muh Jayadi; Muhammad Fuad Anshori; Husnul Mubarak; Eva Noviyanti; Nur Qalbi Zaesar Muharram; Andi Dharmawan Mallarangen
Jurnal Agritechno Jurnal Agritechno Vol. 15, Nomor 2, Oktober 2022
Publisher : Depertemen Teknologi Pertanian Universitas Hasanuddin

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20956/at.vi.928

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Nitrogen (N) is one of the essential nutrients needed for the growth of rice plants. Therefore, N fertilizing must be applied efficiently to achieve optimal results. Various methods have been used to calculate the N content in rice plants, such as tissue analysis and the use of Soil Plant Analysis Development (SPAD) technology. This technology still has lack of time efficiency. Other technologies are needed to quickly support precise agricultural analysis, such as Unmanned Aerial Vehicles (UAV). This study aimed to analyze the N content of rice crop using the UAV-based vegetation index and to compare the measurement of N content accuracy between SPAD chlorophyll and rice plant vegetation index. This study used survey methods and laboratory tests based on several approaches, namely analysis of photosynthesis physiology, leaves tissue analysis, and vegetation index using UAV. Based on the research results, it was found that the Normalized Difference Vegetation Index value had a strong correlation with N content of leaves tissue ​​and SPAD chlorophyll. While the results of the accuracy test, the results of chlorophyll with SPAD (CI A) have better accuracy than the NDVI vegetation index. The r value between CI A – N leaves and NDVI – N leaves did not show a significant difference. In addition, the correlation results show that N content of leaves (r=0.83), CI A (r=0.88), CI B (r=81), and CI TOT (r=0.87) have a very high correlation with NDVI. This shows a unidirectional relationship between variables so that the NDVI variable can be used as a consideration to determine chlorophyll in the plants studied.
Land suitability assessment for agricultural crops in Enrekang, Indonesia: combination of principal component analysis and fuzzy methods Nurfadila Jamaluddin Sappe; Sumbangan Baja; Risma Neswati; Didi Rukmana
SAINS TANAH - Journal of Soil Science and Agroclimatology Vol 19, No 2 (2022): December
Publisher : Universitas Sebelas Maret

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20961/stjssa.v19i2.61973

Abstract

Land suitability assessment is essential for the efficient use of diminishing fertile agricultural land. Assessment parameters include soil texture, pH, the sum of basic cations, base saturation, cation exchange capacity, organic carbon, soil depth, slope, and mean annual temperature and precipitation data. Results showed that 76.28% and 23.26% of the total area were optimally and moderately suitable for coffee growth, respectively; 9.6% and 90% were optimally and moderately suitable for cocoa growth, respectively; 1.98%, 78.74%, and 19.26% were optimally, moderately, and marginally suitable for clove growth, respectively; and 6.68%, 86.89%, and 6.41% was optimally, moderately, and marginally suitable for pepper growth, respectively. The final land suitability index (LSI) was strongly influenced by the threshold values used by the researcher and the quality of the land indicator itself. Plant threshold values differed due to variations in plant recruitment. The main limiting factors were mean annual temperature <26°C, acidic soil pH, and low CEC. This study showed that the fuzzy method is ideal for converting the numerical data of various magnitudes into membership function values and representing land suitability. The principal component analysis is an effective method to determine the weights of multiple factors in a systematic and objective manner. The linearity test found a correlation between LSI and production with f = 0.00, indicating that the applied model can predict agricultural production and is applicable to other agricultural land management.
Characteristics and utilization of black soils in Indonesia Yiyi Sulaeman; Sukarman Sukarman; Risma Neswati; Nurdin Nurdin; Tony Basuki
SAINS TANAH - Journal of Soil Science and Agroclimatology Vol 20, No 1 (2023): June
Publisher : Universitas Sebelas Maret

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20961/stjssa.v20i1.70343

Abstract

Black soils store a high amount of soil organic carbon (SOC) and play a crucial role in climate change, food security, and land degradation neutrality. However, data and information regarding black soils in tropical regions, including Indonesia, are limited. This study aimed to characterize and identify the utilization of black soils in Indonesia based on legacy soil survey data.  We collated 142 soil pedon samples of Mollisols from articles, technical reports, and existing datasets. The site information (site position, elevation, land use type, parent material) and selected physicochemical properties were stored in a spreadsheet, from which exploratory data analysis was conducted.  The result showed that the median SOC content was 1.53%, ranging from 0.6 to 8.2 %; cation exchange capacity was 30 cmol kg-1, ranging from 9 to 95 cmol kg-1; base saturation was 87%, ranging from 11 to 100 %; and bulk density was 1.21 g cm-3, ranging from 1.13 to 1.36 g cm-3. Other soil characteristics (particle size distribution, exchangeable bases, pH, pore, and water retention) varied with horizon type and land use/land cover. The black soils have been used for paddy fields, dryland farming, and gardens with low management intensity. Main cultivated crops include rice (Oryza sativa), corn (Zea mays), cassava (Manihot esculenta), sweet potato (Ipomoea batatas), and nutmeg (Myristica fragrans), clove (Syzygium aromaticum), coconut (Cocos nucifera), and cocoa (Theobroma cocoa).  Threats to black soil functions include soil erosion, carbon loss, and nutrient imbalance. Soil and water conservation measures, integrated soil nutrient management, and agroforestry are among the best land management practices for black soils.
Pemetaan Kesesuaian Lahan Desa Tonasa Kecamatan Tombolo Pao untuk Tanaman Hortikultura : Mapping of Land Suitability in Tonasa Village, Tombolo Pao District for Horticultural Crops Safir, Mujahidah; Jayadi, Muh.; Neswati, Risma
Jurnal Ecosolum Vol. 12 No. 2 (2023): DESEMBER
Publisher : Universitas Hasanuddin

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20956/ecosolum.v12i2.23573

Abstract

Lahan yang sesuai untuk usaha pertanian adalah lahan yang mempunyai kecocokan antara potensi lahandengan syarat tumbuh optimal suatu jenis tanaman pertanian. Penelitian ini dilakukan untuk menentukandan memetakan kelas kesesuaian lahan sayur-sayuran (hortikultura) khususnya tanaman kentang, tomat,dan kubis di Desa Tonasa Kecamatan Tombolo Pao. Penelitian ini menggunakan metode kualitatifdengan menggunakan pendekatan faktor pembatas sederhana. Pengambilan sampel dilakukan secarapurposive sampling berdasarkan peta unit lahan yang terdiri dari empat unit lahan, pada sistem lahan Barong Tongkok (BTK) dan Tanggamus (TGM). Kriteria kesesuaian lahan yang digunakan adalah kriteria menurut Djaenuddin et al. (2011). Penelitian ini menunjukkan bahwa kelas kesesuaian lahan aktual di lokasi penelitian untuk tanaman kentang tergolong sesuai marginal (S3) seluas 2.037 Ha (100%) dengan faktor pembatas retensi hara yaitu pH. Untuk tanaman tomat sebagian tergolong cukup sesuai (S2) seluas 1.778 Ha (87,29%) dengan faktor pembatas ketersediaan air yaitu curah hujan dan kelembaban; retensi hara yaitu kejenuhan basa dan pH; bahaya erosi yaitu lereng serta sebagian tergolong S3 seluas 259 Ha (12,71%) dengan faktor pembatas retensi hara yaitu pH. Untuk tanaman kubis tergolong S3 seluas 2.037 Ha (100 %) dengan faktor pembatas retensi hara yaitu kejenuhan basa dan pH. Desa Tonasa Kecamatan Tombolo Pao memiliki potensi untuk pengembangan tanaman hortikultura yang ditunjukkan dengan hasil analisis kesesuaian lahan aktual untuk tanaman kentang (S3), tomat (S2 dan S3), dan kubis (S3). Kelas kesesuaian lahan potensial tergolong S2 untuk tanaman kentang, tomat, dan kubis dengan faktor pembatas kelembaban.
Dinamika Pola Perubahan Penggunaan Lahan Kabupaten Gowa Berdasarkan Jarak dari Kota Makassar: Dynamics of Land Change Patterns in Gowa Regency based on Distance from Makassar City Kogoya, Alfin; Chairuddin, Zulkarnain; Neswati, Risma
Jurnal Ecosolum Vol. 13 No. 1 (2024): JUNI
Publisher : Universitas Hasanuddin

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20956/ecosolum.v13i1.34414

Abstract

Pertumbuhan penduduk merupakan salah satu faktor yang dapat mempengaruhi dinamika penggunaan lahan melalui hubungan yang kompleks antara kebutuhan manusia untuk memenuhi kebutuhan sebagai tempat tinggal dan kebutuhan produksi pertanian. Kabupaten Gowa mengalami perubahan lahan sangat signifikan dari tahun ke tahun disebabkan karena pertumbahan penduduk Kota Makassar dan Kabupaten Gowa sendiri. Perubahan penggunaan lahan menyebabkan konversi lahan dan tekanan pada sumber daya lahan. Penelitian ini bertujuan untuk mengetahui dinamika pola perubahan penggunaan lahan produktif terhadap perkembangan kawasan urbanisasi dari Kota Makassar ke arah transek jarak wilayah Kabupaten Gowa. Penelitian ini dilaksanakan di Kota Makassar dan Kabupaten Gowa yang mencakup wilayah Kecamatan Manggala, Pattalasang, Parangloe hingga Tinggimoncong. Perubahan penggunaan lahan dilihat dengan menggunakan metode klasifikasi terbimbing berdasarkan data citra satelit pada tahun 2000, 2010 dan 2020. Hasil penelitian menunjukkan bahwa terjadi perubahan penggunaan lahan secara pesat pada tahun 2000, 2010 dan 2020 di wilayah Kota Makassar dan Kabupaten Gowa. Dinamika pola perubahan penggunaan lahan terhadap perkembangan kawasan urbanisasi Kota Makassar ke arah wilayah Kabupaten Gowa berdasarkan transek jarak pada setiap penggunaan lahan sawah, kebun campur, pemukiman, lahan kering, lahan badan air terus meningkat,sehingga menyebabkan penurunan jumlah hutan yang semakin menurun.