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Mubarak, Husnul
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Journal : Jurnal Agritechno

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IDENTIFIKASI DAN KARAKTERISASI SAWAH TEKNIS DAN NON TEKNIS BERBASIS SIG (SISTEM INFORMASI GEOGRAFIS) DI SUB-DAS BILA -, Rusdianto; Asra, Reza; Thamrin, Nining Triani; Mubarak, Husnul
Jurnal Agritechno Jurnal Agritechno Vol. 17, Nomor 2, Oktober 2024
Publisher : Depertemen Teknologi Pertanian Universitas Hasanuddin

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70124/at.v17i2.1371

Abstract

The relationship between watersheds (DAS) and rice fields, namely watersheds is a shallow water area whose topography is dominated by mountains, mountain ridges that collect and store rainwater before being released to rice fields through the main river. This study aims to identify GIS based technical and non-technical rice fields, and analyze the characteristics of technical and non-technical rice fields from various aspects. This study uses a quantitative descriptive approach method based on geographic information systems (GIS). Interpretation of sentinel 2A image data was then digitized onscreen to produce a map of rice fields. Then to identify technical and non-technical rice fields, onscreen digitization was carried out with the help of interviews with related agencies. Characteristic analysis was carried out by overlaying slope slope maps, elevation and soil types to identify the biophysical characteristics of the land, while economic characteristics and management were carried out by interview method. The total area of rice fields in the Bila Sub-Watershed is 5842.35 ha. Non-technical rice fields have an area of 2777.97 ha and technical 3064.38 ha. Non-Technical Rice Fields which dominate at a flat slope of 0-8% covering an area of 1637.05 ha (28.02%). Likewise, technical rice fields with a flat slope of 0-8% cover an area of 2393.76 ha (40.97%). Non-technical rice fields dominate at an altitude of 0-500 above sea level (with an area of 2643.66 ha (45.25%). Likewise, technical rice fields 0-500 above sea level, with an area of 3061.55 ha (52.4%). Non-technical rice fields have dystropepts soil types 527.73 ha 9.03%, 1.09 (ha) 0.02% Eutropepts, 1280.05 (ha) 21.91% Paleudults, tropaquepts 104.36 (ha) 1.79%,272.99 (ha) 4.67% Tropudalfs, 591.73 (ha) 10.1% Tropudults. Technical with an area of 1078.16 ha 18.48% Paleudults and 1986.22 ha 34% Tropaquepts. Planting is carried out 2 times a year, both technical and non-technical rice fields. For the provision of water to non-technical rice fields, it only relies on rainwater for rice field needs. Meanwhile, technical rice fields rely on water from irrigation networks, pipes and pumping machines as auxiliary tools.
OPTIMIZATION OF MUSTARD PLANT (Brassica juncea L.) GROWTH THROUGH THE APPLICATION OF VARIOUS CONCENTRATIONS OF COLCHICINE IN A HYDROPONIC SYSTEM indriani, indriani; AR, Trisnawaty; Syarifuddin, Rifni Nikmat; Mubarak, Husnul
Jurnal Agritechno Jurnal Agritechno Vol. 17, Nomor 2, Oktober 2024
Publisher : Depertemen Teknologi Pertanian Universitas Hasanuddin

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70124/at.v17i2.1390

Abstract

               Mustard greens (Brassica juncea L.) are one of the vegetables widely consumed by the Indonesian population because they are low in calories but full of micronutrients such as vitamins A, C, and K, and essential minerals like calcium and manganese, making the demand for this plant very high. However, this substantial demand has not been matched by relatively low production by farmers. This is because mustard greens are generally grown naturally using small-scale land cultivation systems. As a result, efforts to increase plant production through Colchicine, which is used in polyploidy induction to produce plants with multiple chromosomes, have been applied. The large cell size resulting from polyploidy is expected to provide better growth and yield. The application of a hydroponic system in mustard green cultivation allows the plants to absorb nutrients and colchicine compounds optimally, making their utilization more effective and efficient in plant growth. This research aims to determine the appropriate colchicine concentration on the number of chromosomes, growth, and yield of mustard greens. The study was arranged in a Randomized Block Design (RBD) with colchicine concentration treatments consisting of six levels: 0% concentration as control, 1% colchicine, 2% colchicine, 3% colchicine, 4% colchicine, and 5% colchicine, each treatment repeated four times to obtain 24 observation units. The results showed that the application of colchicine at a 5% concentration had the best effect on growth and production, especially in parameters of plant height, number of leaves, and fresh weight.
PREDIKSI PERUBAHAN PENGGUNAAN LAHAN SAWAH DI WILAYAH HILIR DAS BILA TAHUN 2036 Hidayat, Arnur; Asra, Reza; Thamrin, Nining Triani; Mubarak, Husnul
Jurnal Agritechno Jurnal Agritechno Vol. 17, Nomor 2, Oktober 2024
Publisher : Depertemen Teknologi Pertanian Universitas Hasanuddin

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70124/at.v17i2.1423

Abstract

The use of rice fields as non-agricultural land if allowed to continue, it is not impossible that agricultural land will become increasingly narrow, agricultural production will decline in the long term and Indonesia will experience a food deficit, so it is important to predict rice fields so that it becomes a consideration for the government and other related agencies in determining policies regarding land use planning in an area to support land resource management and sustainable regional development planning. This study aims to analyze the driving factors of rice field changes based on Geographic Information Systems (GIS) and to determine the projection of rice field changes using the Ca-Markov 2036 model. This study is based on Geographic Information Systems (GIS), a system designed to capture, store, manipulate, analyze, organize and display all types of geographic data. The process of processing driving factors data starts from the weighting classification process, fuzzy analysis to produce output that is a reference for the CA-Markov process. Ca-Markov Method Using Idrisi Selva. from the results of the study of Land Use Changes in 2024-2036 in the downstream area of ​​the Bila watershed, it shows that the land changes that increased on the land were Rice Fields covering an area of ​​975,247 ha, Plantations covering an area of ​​594,523, Settlements covering an area of ​​1641,144 ha, while the land that experienced a significant decrease in area in land use in the downstream area of ​​the Bila watershed was Forest covering an area of ​​125,623 ha, Vacant Land covering an area of ​​103,991 ha, Tegalang Fields covering an area of ​​1809,481 ha, Shrubs covering an area of ​​594,523 ha.
Co-Authors -, Rusdianto Andi Alfian Zainuddin Andi Amirah Shaleha Junaed Aritonang, Sylvia Evelyn Aryanto, Asdar Asra, Reza Bakri, Dina Fatiyah Darmawan, Andi Miftah Khaerati Fahri, Hilal Fitrah, Nur Fitriani Fitriani Gailea, Ariq Imtyaz Hadrianty, Sitti Hakim, Rayhan Meizar Hasan, Rumaisah Hidayat, Arnur Indriani Indriani Mayasari, Nilla Melda Warliani Muhammad Fajrin, Muhammad Nikmatiyah, Wa Ode Sri Nining Triani Thamrin Nur Amalia Nur Faridah, Sitti Nur Rahmi Nurana, Nurana Nurfahmi, Nurfahmi Nurjannah Nurjannah Nurmiadi, Nurmiadi Ogirahma Reska, Eva Sahlan, Anshory Salama, Thrisna Wati Pasolang Ester Sam, Nuralam Samsuar, Samsuar Sapsal, Muhammad Tahir Sitti Nur Faridah Syarifuddin, Rifni Nikmat Syukur, Muh. Trisnawaty AR Waluyo, Yose Wangsa, Jeanie Dewi