Mohamad Solahudin
Department Of Mechanical And Biosystem Engineering, Faculty Of Agricultural Engineering, IPB University, Bogor 16680, Indonesia

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Optimization of Parallel K-means for Java Paddy Mapping Using Time-series Satelite Imagery Alvin Fatikhunnada; Kudang Boro Seminar; Liyantono Liyantono; Mohamad Solahudin; Agus Buono
TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 16, No 3: June 2018
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/telkomnika.v16i3.6876

Abstract

Spatiotemporal analysis of MODIS Vegetation Index Imagery widely used for vegetation seasonal mapping both on forest and agricultural site. In order to provide a long-terms of vegetation characteristic maps, a wide time-series images analysis is needed which require high-performance computer and also consumes a lot of energy resources. Meanwhile, for agriculture monitoring purpose in Indonesia, that analysis has to be employed gradually and endlessly to provide the latest condition of paddy field vegetation information. This research is aimed to develop a method to produce the optimized solution in classifying vegetation of paddy fields that diverse both spatial and temporal characteristics. The time-series EVI data from MODIS have been filtered using wavelet transform to reduce noise that caused by cloud. Sequential K-means and Parallel K-means unsupervised classification method were used in both CPU and GPU to find the efficient and the robust result. The developed method has been tested and implemented using the sample case of paddy fields in Java Island. The best system which can accommodate of the extend-ability, affordability, redundancy, energy-saving, maintainability indicators are ARM-based processor (Raspberry Pi), with the highest speed up of 8 and the efficiency of 60%.
Control System for Nutrient Solution of Nutrient Film Technique Using Fuzzy Logic Muhammad Naufal Rauf Ibrahim; Mohamad Solahudin; Slamet Widodo
TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 13, No 4: December 2015
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/telkomnika.v13i4.2113

Abstract

Nutrient Film Technique (NFT) is one of the hydroponic systems, which the nutrient is circulated through root of the plants. Electrical conductivity (EC) of nutrient solution on hydroponic culture is a crucial point that determines the growth rate of the plants and quality of the products. The purpose of this research is to design the control system for nutrient solution to maintain the EC of nutrient solution using Arduino. Fuzzy logic control system was used with EC error and volume of nutrient solution as inputs. Model of tomato cultivation based on certain reference was simulated with scale 1:1440 for cultivation time. This model was used as disturbance of nutrient solution EC due nutrient uptake. The result of observation showed that system could reach setpoint after 130 seconds when the setpoint changes from 1.7 mS/cm to 1.6 mS/cm and 207 seconds from 1.6 mS/cm to 1.9 mS/cm. During observation, RSME value of the system while steady state was 0.005 mS/cm.
Pengembangan Sistem Pemantauan dan Peringatan Dini Parameter Lingkungan Mikro dalam Rumah Kaca Berdasarkan Pendekatan Logika Fuzzy Berbasis Teknologi Short Message Services (SMS) Mohamad Solahudin; Rena Nurista
Jurnal Keteknikan Pertanian Vol. 23 No. 2 (2009): Jurnal Keteknikan Pertanian
Publisher : PERTETA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19028/jtep.023.2.%p

Abstract

Farmers in the tropics also has many cultivated plants in the greenhouse. Excess plants cultivated inthe greenhouse produced plants will look cleaner because the dirt and protected from rain water. Plantgrowth will be faster because the micro environmental conditions in a greenhouse can be controlled and theplants will be protected from pests and diseases. Failure due to an automatic system caused by the electricsource, or non-functioning of a particular sensor equipment will result in the cultivation process controlbecomes disrupted. It required a system capable of monitoring several parameters of the greenhousein order to be anticipating a quick action to ensure the cultivation process goes smoothly. The objectiveof this research was to develop monitoring systems and early warning microenvironment parametersof plants in the greenhouse by fuzzy logic approach and short messaging services (SMS) technologybased.SMS technology was selected because it was available in all type mobile phone, easy to use,equitable access network in Indonesia, and low operational costs. The average value of the accuracy of thetemperature parameters using training data was 96.17% and using validation data was 96.75%, while thehumidity parameters using training data obtained by an average of 92.96% and using validation data was94.06%. Long service to deliver message in monitoring system between same mobile phone operator forthe temperature parameters was 32.30 seconds, and for humidity was 30.32 seconds, while the averageservice early warning system parameters was 12.96 seconds for temperature and for humidity was 13:22seconds. These results were much better than previous studies which have an average service time 2minutes.Keywords: SMS, fuzzy logic, greenhouse, early warning systemDiterima: 14 April 2009; Disetujui: 25 Ahustus 2009
Analisis Dimensi Fraktal untuk Identifikasi Tanaman dengan Pendekatan Pemrosesan Citra Secara Paralel Mohamad Solahudin; Kudang Boro Seminar
Jurnal Keteknikan Pertanian Vol. 24 No. 2 (2010): Jurnal Keteknikan Pertanian
Publisher : PERTETA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19028/jtep.024.2.%p

Abstract

Abstract The use of camera vision and real-time computation as plant identification tool has become an active research. Application of both methods can not be separated from a pretension that the computation must produce correct results within the specified time interval where the truth of the calculation depends not only on logical truth but also on the time in which results are produced. The purpose of this  study is to identify plants with fractal dimension analysis and the application of parallel computing. Fractal dimension analysis results showed that each plant has a typical Fractal dimension value. Filtration process with a small window size is accompanied by the use of multiple processors indicates that the image processing in parallel show results much faster than processing with a single processor.Keywords: camera vision, fractal dimension analisys, filtration, parallel computing Diterima: 24 Mei 2010; Disetujui: 13 September 2010   
Pendeteksian Kerapatan dan Jenis Gulma dengan Metode Bayes dan Analisis Dimensi Fraktal untuk Pengendalian Gulma Secara Selektif Mohamad Solahudin; Kudang Boro Seminar; I Wayan Astika; Agus Buono
Jurnal Keteknikan Pertanian Vol. 24 No. 2 (2010): Jurnal Keteknikan Pertanian
Publisher : PERTETA

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (883.723 KB) | DOI: 10.19028/jtep.024.2.%p

Abstract

Abstract Destructive impacts of herbicide usage on environment and water contamination have led to many researches oriented toward finding solutions for their accurate use. If density and weeds species could be correctly detected, patch spraying or spot spraying can effectively reduce herbicide usage. A precision automated machine vision for weed control could also reduce the usage of chemicals. Machine vision is a useful method for segmentation of different objects in agricultural applications, especially pattern recognition methods. Many indices have been investigated by researchers to perform weed segmentation based on color information of the images.  But there is no research that aims to identify weed diversity and its influence on the consumption of herbicides. The purpose of this research is to build a system that can recognize weeds and plants. In this study the relation between three main components (red, green and blue) of the images and color feature extraction (Hue, Saturation, Intensity) used to define weeds and plants density. Fractal dimension used as the methode to define  shape features to distinguish weeds and plants. Weeds and plants were segmented from background by obtaining H value and its shape was obtained by fractal dimension value. The results show fractal dimension value for weeds and plants has specific values. Corn plants have fractal dimension values in the range 1.148 to 1.268, peanut plants have fractal dimension values in the range 1.511 to 1.629, while the weeds have Fractal dimension values in the range 1.325 to 1.497. Keywords: image processing, machine vision, weed control, fractal dimension Diterima: 26 Juli 2010; Disetujui: 4 Oktober 2010
RANCANG BANGUN SISTEM PEMANTAUAN DAN PERINGATAN DINI PARAMETER LINGKUNGAN MIKRO BUDIDAYA TANAMAN PADA RUMAH TANAMAN BERBASIS SMS (SHORT MESSAGE SERVICE) Mohamad Solahudin; Yudi Chadirin; Gumilang Agus Gozali
Jurnal Keteknikan Pertanian Vol. 20 No. 3 (2006): Jurnal Keteknikan Pertanian
Publisher : PERTETA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19028/jtep.020.3.%p

Abstract

ABSTRACT SMS (Short Message Service) is one of technology can be use alternative to develop greenhouse micro climate monitoring and alert system. This technology selected because of simplicity in information access and widely spread use as comunication tools. The purpose of this research is to develop greenhouse Micro Climate Monitoring and Alert System by combining SMS technology, Portable Weather Station and Mobile FBUS V 1.5. System test performance for variouse provider shows the result wihch vary. The results shows that this system can be applied as monitoring and alert system technology. The performance test shows thaht the average of time service from all communication providers is 24,45 second, with 2.65 lag time. Keyword: Greenhouse, Micro Climate, SMS.n Diterima: 29 September 2006; Disetujui: 16 Nopember 2006
Analisis Pindah Panas pada Pipa Pendingin untuk Root Zone Cooling System Nurbaiti Araswati; Herry Suhardiyanto; Mohamad Solahudin
Jurnal Keteknikan Pertanian Vol. 5 No. 3 (2017): JURNAL KETEKNIKAN PERTANIAN
Publisher : PERTETA

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (2422.443 KB) | DOI: 10.19028/jtep.05.3.253-260

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AbstractRoot zone cooling system is needed to alleviate high-temperature injury for high-yield greenhouse vegetables production. Analysis of heat transfer along the cooling pipe is very important in designing the root zone cooling system. The objectives of this research were (1) to analyze heat transfer in cooling pipe for zone cooling in a hydroponic system, (2) to validate the heat transfer dynamics model to predict the water temperature at the outlet of the cooling pipe, and (3) to perform model simulations for various types of pipe materials and lengths in several thermal conditions in the greenhouse. Root zone cooling system was performed by flowing water (10oC) through a steel pipe along 25 m to the root zone. The analysis showed a decrease up to 2.8oC in the planting medium temperature 28.6oC from control 31.4oC. The validation of heat transfer model was conducted by comparing the predicted water temperature to that of measured on linear regression plot. The result showed a straight line Y=1.0026X and the coefficient of determination (R2) 0.9867. Based on data analysis, the temperature of water reaches 1oC in steel and copper cooling pipes along 40 m and significantly different from the PVC that is 0.8oC. AbstrakRoot zone cooling system diperlukan dalam mengurangi kerusakan akibat tingginya suhu agar hasil produksi sayuran rumah tanaman meningkat. Analisis pindah panas di sepanjang pipa pendingin sangat penting dalam perancangan root zone cooling system. Tujuan penelitian ini adalah (1) melakukan analisis pindah panas pada pipa pendingin untuk zone cooling dalam sistem hidroponik, (2) melakukan validasi model dinamik pindah panas untuk memprediksi suhu air pada bagian outlet pipa pendingin, dan (3) melakukan simulasi model untuk berbagai bahan dan panjang pipa pada beberapa kondisi termal rumah tanaman. Root zone cooling system dilakukan dengan mengalirkan air (10oC) melalui pipa steel sepanjang 25 m ke perakaran tanaman. Hasil analisis menunjukkan adanya penurunan suhu media tanam hingga 2.8oC yaitu 28.6oC dari suhu kontrol 31.4oC. Validasi model pindah panas dilakukan dengan membandingkan angka suhu air hasil prediksi dengan hasil pengukuran dalam grafik regresi linear. Hasil validasi model pindah panas didapatkan garis lurus Y=1.0026X dan koefisien determinasi (R2) 0.9867. Berdasarkan analisis data, kenaikan suhu air mencapai 1oC pada pipa pendingin steel maupun tembaga sepanjang 40 m dan berbeda nyata dengan PVC yaitu 0.8oC
Identifikasi Ganoderma Pada Tanaman Kelapa Sawit Berbasis Reflektansi Gelombang Multispektral Mohamad Solahudin Asyari; Fenry Winna Mutawally
Jurnal Keteknikan Pertanian Vol. 7 No. 3 (2019): JURNAL KETEKNIKAN PERTANIAN
Publisher : PERTETA

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (2603.129 KB) | DOI: 10.19028/jtep.07.3.193-200

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Basal Stem Rot (BSR) is a fatal disease caused by the fungus Ganoderma boninense. Currently in Indonesia the identification of oil palm plants suffering from BSR is done by directly observing oil palm plants one by one and pressing the palm tree trunks. However the direct checking method is felt to be less effective and efficient, its need another better method for detecting BSR. This study aims to evaluate the Ganoderma attack by using a multispectral camera, applying a neural network method to analyze NDVI images, and analyzing the effect of altitude on the accuracy of multispectral camera performance. In this study, spectral data of oil palm plants were taken through the air at an altitude of 50 m, 60 m, and 70 m with a multispectral camera mounted on a UAV, then the spectral data were analyzed using artificial neural networks to identify oil palm plants that were attacked by Ganoderma and healthy plants. The results of this study conclude that multispectral cameras can identify oil palm plants that have been attacked by Ganoderma at an altitude of 50 m and 60 m with utilization of artificial neural networks.
Pengaruh Pengolahan Tanah dan Penambahan Jerami terhadap Kebutuhan Air Penyiapan Lahan Padi Sawah Delvi Yanti; Tineke Mandang; Mohamad Yanuar Jawardi Purwanto; Mohamad Solahudin
Jurnal Keteknikan Pertanian Vol. 7 No. 3 (2019): JURNAL KETEKNIKAN PERTANIAN
Publisher : PERTETA

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1179.923 KB) | DOI: 10.19028/jtep.07.3.185-192

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Praktik manajemen seperti pengolahan tanah, mulsa, aplikasi pupuk dan pemupukan dilakukan untuk meningkatkan lingkungan fisik tanah dengan tujuan akhir untuk meningkatkan produktivitas tanaman. Tujuan penelitian ini adalah untuk mengetahui pengaruh pengolahan tanah dan penambahan jerami terhadap kebutuhan air penyiapan lahan padi sawah. Penelitian terdiri dari dua faktor perlakuan, yaitu pengolahan tanah dan penambahan jerami yang masing-masing dilakukan 3 kali. Metode pengolahan tanah yaitu pembajakan-pelumpuran dilakukan dengan dua tahap atau ada jeda selama 15 hari (PT1)  dan pembajakan-pelumpuran dilakukan dalam satu tahap kegiatan atau tanpa ada jeda (PT2), sedangkan untuk perlakukan jerami, ada yang tanpa jerami (J0) dan menggunakan jerami (J1). Pengamatan dilakukan terhadap sifat fisik tanah dengan cara pengambilan contoh tanah utuh sebelum pengolahan tanah (SPT) dan setelah tanah diolah, perhitungan terhadap kebutuhan air penyiapan lahan dilakukan untuk masing-masing perlakuan. Untuk mengethaui pengaruh perlakuan terhadap sifat fisik tanah dilakukan dengan analisis statistik yaitu degan paried sample t-test. Hasil percobaan yaitu pengolahan tanah dan penambahan jerami berpengaruh terhadap sifat fisik tanah. Pengolahan tanah dua tahap dan penambahan jerami merupakan perlakuan yang membutuhkan air paling banyak dalam penyiapan lahan yaitu sebesar 196,95 mm, tetapi merupakan perlakuan terbaik dengan air tersedia sebesar 16 %.
Characteristics and Financial Feasibility of Gedong Gincu Mango Farming in Indramayu District khoirul umam; Rokhani Hasbullah; Mohamad Solahudin
Jurnal Keteknikan Pertanian Vol. 9 No. 3 (2021): Jurnal Keteknikan Pertanian
Publisher : PERTETA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19028/jtep.09.3.119-126

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Mangga gedong gincu merupakan salah satu varietas mangga yang menjadi primadona bagi masyarakat lokal maupun mancanegara karena memiliki kekhasan tersendiri jika dibandingkan dengan mangga jenis lainnya. Tujuan penelitian ini adalah untuk menganalisis : 1) Karakteristik usahatani mangga gedong gincu di kabupaten Indramayu, 2) Kelayakan finansial usahatani mangga gedong gincu, dan 3) Sensitivitas usahatani mangga gedong gincu terhadap perubahan biaya produksi, harga jual, jumlah produksi dan sewa lahan. Pengumpulan data dilakukan dengan cara observasi dan wawancara terhadap 16 orang petani responden pada bulan Oktober-November 2019. Hasil penelitian menunjukkan bahwa mangga gedong gincu memiliki potensi besar untuk terus dikembangkan. Biaya investasi awal yang dibutuhkan sebesar Rp 52,226,667,-/ha dan untuk pemeliharaan selanjutnya rata-rata Rp. 8,284,000 -/ha/bulan. Pada tingkat suku bunga 8.75% menunjukkan bahwa usahatani mangga gedong gincu layak untuk dikembangkan dengan nilai NPV Rp. 39,289,514, IRR 91.00% dan B/C 1,43. Berdasarkan analisis sensitivitas faktor paling menentukan pendapatan (untung/rugi) petani mangga gedong gincu di kabupaten Indramayu adalah penurunan harga jual dan jumlah hasil produksi serta jika terjadi kenaikan biaya produksi, harga jual dan jumlah produksi sekaligus.