Papers by Hermantoro Sastrohartono
Jurnal Teknik Pertanian/Jurnal teknik pertanian Lampung, Jan 29, 2024
Proceedings of the International Conference on Industrial Engineering and Operations Management
Water studies in the scope of agriculture have adopted Internet of Things (IoT) to become a new b... more Water studies in the scope of agriculture have adopted Internet of Things (IoT) to become a new big data collection methodology. This research aimed to deliver a method in water quality categorization. The research methodology for this study used a combination of water quality parameter measurement with two integrated IoT water sensors (turbidity and TDS sensor) and manual categorization. Based on the water categorization standard, the measured turbidity and TDS were matched to one water category. In the sensor precision test, the integrated IoT water sensors showed 94.40% for the turbidity sensor and 97.95% for the TDS sensor. Compared to other water samples, drinking water was successfully distinguished with valid categorization. Other water samples namely groundwater, tea, and coffee showed invalid remarks.
Jurnal Keteknikan Pertanian, Apr 4, 2024
Gambar 3. Hubungan curah hujan pada musim kemarau dengan ENSO dan IOD Musim kemarau diwilayah kaj... more Gambar 3. Hubungan curah hujan pada musim kemarau dengan ENSO dan IOD Musim kemarau diwilayah kajian berada pada bulan Juni, Juli dan Agustus (JJA). Korelasi Pearson menghasilkan koefesien korelasi yang berfungsi untuk mengukur kekuatan hubungan linier antara dua variable. Dari Tabel 1 diketahui Musim JJA dan SON memiliki hubungan jTEP JURNAL KETEKNIKAN PERTANIAN,
Buletin Keteknikan Pertanian, Apr 1, 2011
The objective of this research is to determine organic matter content in soil using image process... more The objective of this research is to determine organic matter content in soil using image processing and artificial neural network. The images of soil were captured using digital camera and processed using image process algorithm. The images parameter data i.e. red, green, blue, hue, saturation, intensity, mean, entropy, energy, contrast, and homogeneity were extracted from sixty soil sample with different organic matter content. Parameter images data were used as the inputs data for ANN analysis. Output layer of ANN is organic matter content in soil. Based on experiment found that application of image processing and ANN for predicting organic matter content in soil have the high accuracy with coefficient determination of 90.75 % and mean square error (MSE) of 0.002762.
AGRICULTURAL ENGINEERING INNOVATION JOURNAL
Handling empty palm oil bunches into compost biomass requires measurement and monitoring technolo... more Handling empty palm oil bunches into compost biomass requires measurement and monitoring technology. This natural process has not run optimally due to the lack of application of technology that is able to collect information on the dynamics of the effect of pH on the rate of decomposition of empty oil palm fruit bunches into compost. Responding to this need, a measuring tool for pH degrees and monitoring of NPK content was designed. The design uses the following components: a). Esp32 micro-controller, b). pH sensor, c). NPK sensor d) Soil moisture sensor, e).Modbus RS485), f). Power supply: 12 volt adapter, and 9volt battery, h) Stepdown 12volt ke 5volt, i). saklaron/off and j) Application blink IoT. The schematic of the component circuit is placed onPrinted Circuit Board (PCB) and programmed usingArduino GOES 1.8.19. The tool works by means of acid-wet signals, moisture content and nitrogen, phosphorus and potassium content which are read by the sensors sent by the esp32 microcontr...
Journal of World's Poultry Research
Aspergillus flavus and Aspergillus parasiticus are fungi that produce toxic secondary metabolites... more Aspergillus flavus and Aspergillus parasiticus are fungi that produce toxic secondary metabolites known as aflatoxins. These toxins can contaminate various food and feed products, including grains and nuts, before or after they are harvested. This contamination is most commonly found in tropical countries. Many studies have demonstrated that clay additions can reduce animal aflatoxin toxicity. The objective of this research was to study how the usage of Pacitan's local bentonite, located in East Java, Indonesia, could potentially decrease the harmful effects of aflatoxin B1 in native chicken species. The Masking Gel Calcification method was used to create bentonite nanoparticles at the Center for Ceramics in Bandung, West Java, Indonesia. The in vivo study was conducted at a native chicken farm in Bantul, Yogyakarta, Indonesia, with 1200 unsexed Kampung Unggul Balitbangtan (KUB) chickens. Kampung Unggul Balitbangtan chickens were divided into 4 treatments and 6 replications, eac...
Tropical Plantation Journal
This study aims to compare the needs of agricultural machinery in rice farming through direct sur... more This study aims to compare the needs of agricultural machinery in rice farming through direct surveys and integrated Planting calendar information systems. This research was conducted in July-September 2020 in Boalemo Regency. The number of respondents in the study was 54 farmers. Based on the study's results, it is known that agricultural machinery is very necessary. This is stated by 91% of respondents stating they always use agricultural machinery in their farming business. Agricultural machinery, hand tractors, power theresors, and combine harvesters are included in the high category that farmers often use with percentages of 9, 8.15%, 85.19%, and 72.22%. Rice transplanters are still in the low category 40.74%, due to small land ownership and lack of socialization. The use of agricultural machinery can save costs, reduce labour, and speed up work. Based on the calculation of the adequacy status of the hand tractor, rice transplanter, and power thereser is appropriate. How...
Mattawang: Jurnal Pengabdian Masyarakat
Farmers in Umbulrejo Village in Gunungkidul Regency, Yogyakarta are facing difficulties pumping w... more Farmers in Umbulrejo Village in Gunungkidul Regency, Yogyakarta are facing difficulties pumping water for their agriculture due to low electrical power availability. One alternative is to use solar-powered pumps, but this causes environmental problems and higher production costs. The Faculty of Agricultural Technology INSTIPER Yogyakarta is working with PT. Virama Karya to introduce the Clean Water and Irrigation Program for Umbulrejo Village Farmers, which includes planning, construction, operation, and monitoring of a ground water irrigation system with solar-powered pumps. The program's implementation is planned for 4 years and will include the construction of wells, water tanks, solar power plants, irrigation networks, and maintenance of the system. After 4 years, the village will own the system with guidance from the Stiper Agricultural Institute of Yogyakarta. Abstrak Petani di Desa Umbulrejo di Kabupaten Gunungkidul, Yogyakarta mengalami kesulitan memompa air untuk budida...
Mapping Kawasan Salak Pondoh Kabupaten Sleman Menggunakan Pengolahan Citra Quick Bird Dan Sistem Informasi Geografis
Salak Pondoh sebagai komoditas unggulan Kabupaten Sleman Jogyakarta yang secara nyata telah mense... more Salak Pondoh sebagai komoditas unggulan Kabupaten Sleman Jogyakarta yang secara nyata telah mensejahterakan masyarakat dan meningkatkan pendapatan daerah perlu terus dijaga dan dikembangkan kuantitas dan kualitas produksinya, terutama dalam perdagangan internasional. Salah satu upaya untuk tetap dapat menjamin kualitas dan kuantitas produksi perlu dilakukan pemetaan mengenai tata-letak dan luas kawasan salak pondoh. Pemetaan kawasan ini dilakukan dengan metode pengolahan citra ’quick bird’ dan sistem informasi geografis. Hasil pemetaan menunjukkan bahwa kawasan salak pondok di Kabupaten Sleman total 2.419.829 Ha, yang terdiri atas Kecamatan Tempel 672.574 Ha, Kecamatan Turi 1.560.891 Ha, dan Kecamatan Pakem 186.364 ha. Hasil ini dapat digunakan sebagai informasi dan panduan pengembangan salak selanjutnya. Kata kunci : mapping, citra quick bird, salak pondoh
Jurnal Keteknikan Pertanian, 2000
Palawija is still used as secondary food in Indonesia. Some of palawija crops were source of the ... more Palawija is still used as secondary food in Indonesia. Some of palawija crops were source of the carbohydrate, and the others like a peanut and soybean are source of protein. The common palawija crops grown on upland area are soybean, peanut, green pea, and corn. The major constrains on development of upland area for agriculture purpose was water scarcity and availability data of crops water requirement. The objective of the research was to develop the crop growth and water use modeling, determining the transpiration coefficient and crop water requirement of upland crops. By simulating the transpiration coefficient as a function of Unit Crop Index (UCI), found that the transpiration coefficient of these upland crops was fit with the five-degree polynomial equation, with UCI as an independent variable. Total water requirement of soybean, peanut, green pea, and corn
Drone Application Model for Image Acquisition of Plantation Areas and Oil Palm Trees Counting
2022 International Conference on Information Management and Technology (ICIMTech)
Teknik fertigasi kendi untuk pertanian lahan kering
sinopsis : Nutrisi dalam tanah hanya dapat diserap oleh tanaman dalam bentuk larutan nutrisi dala... more sinopsis : Nutrisi dalam tanah hanya dapat diserap oleh tanaman dalam bentuk larutan nutrisi dalam air atau soil solusion. Kenyataan tersebut menunjukkan bahwa usaha pemupukan hanya akan efektif apabila di dalam tanah di daerah perakaran tanaman juga terdapat air dalam jumlah yang mencukupi. Satu metode yang dapat mendukung kondisi tersebut adalah melaiui pemberian pupuk yang dibarengi dengan irigasi. Di pertanian lahan kering dengan kendala ketersediaan air, pengembangan teknologi fertigasi yang tepat merupakan suatu sistem yang irit air dan pupuk dengan menggunakan bahan-bahan yang tersedia di daerah setempat, seperti halnya "kendi". Kendi merupakan benda yang famifier di berbagai daerah di wilayah nusantara, bahkan banyak diproduksi sebagai kerajinan rakyat. Kendi dibuat dari tanah liat dicampur dengan pasir dan bahan lain seperti serbuk gergaji, dan di-finishingdengan caradibakar.Buku ini membahas berbagai hal di antaranya Perkembangan Sistem Irigasi dan Sistem Fertiga...
Land suitability evaluation for specific purpose in plantation sector become very important due t... more Land suitability evaluation for specific purpose in plantation sector become very important due to increasing the competition in land use and the development of plantation sector. Land evaluation produces information about economic values of specific land use. The aim of the research is to develop Land Suitability Evaluation method for cocoa estate using integrated model Artificial Neural Network (ANN) and Geographical Information ISSN 0125-1790 MGI Vol. 22, No. 1, Maret 2008 (52 60) © 2008 Fakultas Geografi APLIKASI MODEL ARTIFICIAL NEURAL Hermantoro, dkk MAJALAH GEOGRAFI INDONESIA, Vol 22, No. 1, Maret 2008 53 System (GIS). Back propagation ANN model were used to predict cocoa yield base on land qualities parameter. The result shows that the best ANN model to predict cocoa yield have 15 input layer, 15 hidden layer, and 1 output layer. with the determination coefficient (r2) of 0.99 and Root Mean Square Error (RMSE) of 93.83 in the training process, otherwise in the testing found ...
Modeling and Simulation of Oil Palm Plantation Productivity Based on Land Quality and Climate Using Artificial Neural Network
Crop growth and production on particular land and climate is strongly influenced by the interacti... more Crop growth and production on particular land and climate is strongly influenced by the interaction between plants, climate, soil, and management. Land quality and climate which greatly affect the expected production of oil palm are soil type, soil depth, altitude, soil pH, rainfall year-1, average temperature, water deficit in mm year-1, air humidity, and solar radiation. Oil palm production as a function of land quality and climate can be predicted using various methods, one of them is artificial neural network (ANN). This study used the algorithm backpropagation ANN method. The aim of this research was to develop a prediction model of oil palm plantation productivity based on land quality and climate and simulate the effect of climate change on oil palm productivity. The result showed that water deficit and average temperature had negative correlation to the productivity of oil palm plantations, while sun shine duration, relative humidity and annual rainfall had positive correlat...
PrediksiKadar Bahan Organik Tanah Dengan Aplikasi Pengolahan Citra dan Jaringan Syaraf Tiruan
Agromet, Jun 18, 2009
Crop growth and production on particular land and climate is strongly influenced by the interacti... more Crop growth and production on particular land and climate is strongly influenced by the interaction between plants, climate, soil, and management. Land quality and climate greatly affect the expected production of oil palm are: soil type, soil depth, altitude, soil pH, rainfall / year, average temperature, water deficit in mm / yr, air humidity, and solar radiation. Oil palm production as a function of land quality and climate can be predicted using various methods. Artificial Neural Network (ANN) is one recognized method for predict land productivity. In this study ANN Back propagation algorithm is used. The aim of this research is to develop ANN model and simulation of Oil Palm Plantation Productivity. Through the optimization procedure obtained the best ANN architecture is 11 neurons in input layer-3 neurons in the hidden layer and-1 neuron in the output layer, at 30,000 iterations of training step obtained the best model of oil palm productivity prediction with a value of R 2 : 0.98 and RMSE: 0:49, while from the test step obtains the value of R 2 : 0.94 and RMSE: 1.63. The results of simulation show that the simultaneous influence of several climatic changes that decrease the quantity of rainfall 100 mm / yr, 1 0 C temperature rise, and increasing water deficit 50 mm / yr reduce the productivity of oil palm plantations for 2.15 tons / ha / year. From this research can be concluded that ANN can be used to predict the production of palm oil based on quality of land and local climate with very good results.
Jurnal Ilmiah Membangun Desa dan Pertanian
Brown sugar is one of the palm derivative products that have high economic value and has very goo... more Brown sugar is one of the palm derivative products that have high economic value and has very good prospects for development. Commerce is a trading activity that combines the flow of goods and services from the level of production to consumption. This study aims to determine the share margin received by each channel of the brown sugar commerce at Kulon Progo Regency. This research, which was conducted in May-July 2020, used a descriptive method. The method of determining the research location used the purposive sampling method. Determination of the number of informants is determined by the snowball method with a total of 60 informants. Methods of data analysis using cost analysis tools and marketing margins. The results showed that the marketing margin obtained at the farm level was Rp1.706/kg while the collectors were Rp4.375/kg. Product variations being developed are printed coconut sugar, wet neutral brown sugar, dry neutral brown sugar, and flavor variants.
Various environmental challenges, related to oil palm commodity has became a major environmental ... more Various environmental challenges, related to oil palm commodity has became a major environmental challenge to oil palm production. The aim and objective of this study is to analyze the actual water footprint of oil palm based on root water uptake under varying crop age and soil type. The research was conducted in Pundu Village, Central Kalimantan. The methodology adopted in carrying out this study consists of various stages which includes observing soil moisture, rainfall, and water table, ETo, root water uptake and oil palm water footprint. The highest rate of water consumption was the 13 years oil palm on spodosol soil type with an average daily rate of 3.73 mm/day. The lowest evapotranspiration was represented by the 7th year oil palm on spodosol with an average rate of 3.07 mm/day. The total water footprint value obtained was between 0.56-1.14 m 3 /kg for a variety of plants with various age and soil types. It can be deduced that the water footprint value of oil palm vary for different crop age and soil types on temporal scale. The study also presented that the source of green water from the first root zone of oil palm deliver the highest contribution for oil palm root water uptake.
Various environmental challenges, related to oil palm commodity has became a major environmental ... more Various environmental challenges, related to oil palm commodity has became a major environmental challenge to oil palm production. The aim and objective of this study is to analyze the actual water footprint of oil palm based on root water uptake under varying crop age and soil type. The research was conducted in Pundu Village, Central Kalimantan. The methodology adopted in carrying out this study consists of various stages which includes observing soil moisture, rainfall, and water table, ETo, root water uptake and oil palm water footprint. The highest rate of water consumption was the 13 years oil palm on spodosol soil type with an average daily rate of 3.73 mm/day. The lowest evapotranspiration was represented by the 7th year oil palm on spodosol with an average rate of 3.07 mm/day. The total water footprint value obtained was between 0.56 – 1.14 m3/kg for a variety of plants with various age and soil types. It can be deduced that the water footprint value of oil palm vary ...
Jurnal Keteknikan Pertanian, 2008
Land evaluation for specific purpose in plantation sector become very important due to increasing... more Land evaluation for specific purpose in plantation sector become very important due to increasing the competition in land use and the development of plantation sector. Land evaluation produces information about economic values of specific land use. The objective of the research is to develop Land Evaluation method for cocoa estate using integrated model Artificial Neural Network (ANN) and Geographical Information System (GIS). Back propagation ANN model were used to predict cocoa yield base on land qualities parameter. The result shows that the best ANN model to predict cocoa yield have 15 input layer, 15 hidden layer, and 1 output layer. with the determination coefficient (r 2) of 0.99 and Root Mean Square Error (RMSE) of 93.83 in the training process, otherwise in the testing found the r 2 of 0.76 and RMSE of 113.83. In verification stage the integrated model of ANN and GIS was used to evaluate land suitability of Wijayaarga Cocoa Plantation is seem accurate in predicting cocoa yield and easers to mapping the land suitability unit.
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Papers by Hermantoro Sastrohartono