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ANALISIS KESESUAIAN LAHAN UNTUK PENGEMBANGAN KAKAO BERDASARKAN APLIKASI SPKL (SISTEM PENILAIAN KESESUAIAN LAHAN) DI KABUPATEN BANTAENG: Land Suitability Analysis For Cocoa Development Based On SPKL Application (Land Suitability Assessment System) In Bantaeng Regency Nirmala Juita; Husnul Mubarak; Erwin Wijaya; Emmy Fadhila; Nurmaranti Alim
Jurnal Ecosolum Vol. 10 No. 2 (2021): DESEMBER
Publisher : Universitas Hasanuddin

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20956/ecosolum.v10i2.18683

Abstract

Cocoa is one of the plantation commodities that has an important role in economic activities in Indonesia. Cocoa can also be used as an alternative source of biohydrogen energy and is very beneficial for health such as reducing the risk of heart attack and stroke, reducing symptoms of depression, lowering blood pressure, maintaining healthy teeth and bones and protecting the body from cancer. The method used in this research is the SPKL application (version 2.0). The results obtained from this study are S3 (marginally appropriate) at the observation points of soil profiles 1 and 4, while the land suitability class N (not suitable) is found in profiles 2, 3 and 5. Limiting factors such as annual temperature, slope, soil depth and coarse fragments, is a limiting factor that is difficult to repair, while soil chemical properties such as K2O can be overcome by fertilization.
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

Abstract

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.
Design of a Greenhouse Room Temperature and Humidity Control System Using a DHT 22 Sensor Husnul Mubarak; Muhammad Rizal; Iqbal Iqbal; Abdul Waris; Muhammad Tahir Sapsal; Imam Suelfikhar
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.943

Abstract

Temperature and humidity conditions in plant growth are one of the important factors. Instability of temperature and humidity is often a problem that makes plants grow not optimally. The use of a green house is one way to artificially maintain temperature and humidity, but it still experiences several problems due to unstable weather conditions that affect conditions in the green house space. The control system uses temperature and humidity sensors (DHT 22) to measure the conditions in the green house space which can be used to maintain the stability of temperature and humidity in the green house. This control system will be connected to a water pump connected to a misting device where the water vapor produced by the misting is expected to be able to maintain the humidity in the green house room, and the control device will be connected to a fan which is expected to be able to maintain the temperature conditions in the green house room. The measurement data of the control system tool using the DHT 22 sensor will be compared with the hygrometer measurement data for the calibration process. Testing the function of the control device is carried out by looking at the response of the fan and pump to the setting point on the DHT 22 sensor reading. This control system is very important to apply because it can become the basis for developing greenhouses in the future, and as a basis for developing several control systems related to plant growth. The calibration results for the DHT 22 sensor and hygrometer readings obtained an error value of 0.27 °C for the temperature sensor and 1.23% for the humidity sensor. This value indicates that the sensor reading error is within the temperature sensor tolerance standard, which is ±0.5 °C and the humidity sensor tolerance is ±5%. For the results of testing the response of the pump and fan to the setting point, it shows that the two tools work well. So that it can be concluded that the design of the tool can function properly in controlling the green house space to maintain temperature and humidity stability.