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RAINFALL PREDICTION MODELING USING NEURAL NETWORK ANALYSIS TECHNICS AT PADDY PRODUCTION CENTRE AREA IN WEST JAVA AND BANTEN PRAMUDIA, ARIS; KOESMARYONO, Y; LAS, IRSAL; JUNE, T; ASTIKA, I WAYAN; RUNTUNUWU, ELEONORA
Jurnal Tanah dan Iklim (Indonesian Soil and Climate Journal) No 27 (2008): Juli 2008
Publisher : Balai Besar Penelitian dan Pengembangan Sumberdaya Lahan Pertanian

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21082/jti.v0n27.2008.%p

Rainfall fluctuates with time and changes randomly, which unfavorable for most of the cropping, such as paddy. An early warning system is required to ensure a productive paddy cropping system. This paper describes the rainfall prediction modelling using a neural network analysis at paddy production centre area in the northern coast of Western Java and Banten. Rainfall data from Baros in the northern coast of Banten, Karawang, and Kasomalang Subang in the northern coast of West Java have been used for setting and validating the model. The model provides rainfall prediction for the next three months (Y=CHt+3), using the inputs data of the number of month (X1=t), the rainfall at the current month (X2=CHt), the rainfall atthe following month (X3=CHt+1), the rainfall at the following two months (X4=CHt+2), the southern ossilation index (SOI) at the current month (X5=SOIt) and the NINO-3,4 sea surface temperature anomaly at the current month (X6=AnoSSTt). Rainfall data recorded in the 1990-2002 period have been used for composing the model, and those in the 2003-2006 periods have been used for validating the model. The validated model has been used to predict rainfall in the 2007-2008. The best modelare those that using a combination of those six input variables. These models are able to explain 88-91% of the data variability with 4-8 mm month-1 of the maximum prediction error. At Baros Serang, the predicted rainfall in the 2007-2008 periods will be varied from Normal to Above Normal. At Karawang and Kasomalang Subang, predicted rainfall will be high at the end of 2007 until early 2008, and then will be low in the middle of 2008 and increases at the end of 2008.

Teknik Penggerombolan Fuzi untuk Pewilayahan Curah Hujan di Sentra Produksi Padi Aris Pramudia; Vonny Koesmaryono; Irsal Las; Tania June; I Wayan Astika
Jurnal Ilmu Pertanian Indonesia Vol. 12 No. 3 (2007): Jurnal Ilmu Pertanian Indonesia
Publisher : Institut Pertanian Bogor

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Rainfall zoning analysis with fuzzy clustering method has been performed at the centre of paddy area in the northern coast of Banten Province and West Java Province. Rainfall data recorded in the 1980-2006 period from 62 rainfall stations in the northern coast of Banten Province and from 75 rainfall stations at Karawang and Subang in the northern coast of West Java Province have been used in this analysis. For the first analysis a calculation of arithmetic mean values representing EI-Nino, La-Nina and Normal condition has been performed. Next, a fuzzy clustering analysis is applied to these mean values. The clustering analysis consists of two steps. First, a symmetric and reflective compatibility relation matrix describing a distance function between rainfall stations is calculated. Second, a fuzzy equivalency relationship i.e. a transitive approach of fuzzy compatibility matrices is determined. The results of analysis indicate a difference in the equivalency level among the stations under the EI-Nino, La-Nina and Normal conditions in the northern coast of Banten Province and West Java Province. Based on the 75°/o equivalency level, in the northern coast of Banten area can be grouped into four rainfall zones under EI-Nino condition, two zones under La-Nina condition and three zones under Normal condition. On the other hand, in the northern coast of West Java area can be grouped into three zones under EINino condition, two zones under La-Nina condition, and four zones under Normal condition.Keywords: Arithmetic means values, EI-Nino, La-Nina, Fuzzy clustering, Rainfall zoning

STATUS KEBERLANJUTAN PERIKANAN TANGKAP DI DAERAH KOTA PANTAI: PENELAAHAN KASUS DI KOTA MANADO (The Status of Sustainable Capture Fisheries in Coastal City Region: Case Study for Manado City) Gybert E. Mamuaya; John Haluan; Sugeng Hari Wisudo; I Wayan Astika
Buletin PSP Vol. 16 No. 1 (2007): Buletin PSP
Publisher : Institut Pertanian Bogor

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The capture offisheries sustainability is management and the utilization off fish resources which can guarantee the availability of that resources continuously. In this research, the sustainability status offisheries in Manado city has been examined through ecological, economic, sociological, technological, and ethical approaches by employing RAPFISH technique. The status of the purse seine fishery in this region is 53% of the fisheries sustainability which is classified as good fisheries. Meanwhile, tuna long pole-lines and gillnets fisheries status are 57.5% and 60.1 %, respectively, of the good fisheries sustainability. Improvement of this status can be carried out by improving the several attributes qualities, among others: wage, other income and sector employment (economy); socialization offishing, environmental knowledge and kin participation (social); pre-sale processing, gear selectivity and fishing power (technology); alternatives and just management (ethics).Key words: sustainability, fisheries status, coastal city

STATUS KEBERLANJUTAN PERIKANAN TANGKAP DI DAERAH KOTA PANTAI: PENELAAHAN KASUS DI KOTA MANADO (The Status of Sustainable Capture Fisheries in Coastal City Region: Case Study for Manado City) Gybert E. Mamuaya; John Haluan; Sugeng H. Wisudo; I Wayan Astika
Buletin PSP Vol. 16 No. 1 (2007): Buletin PSP
Publisher : Institut Pertanian Bogor

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (538.535 KB)

The capture offisheries sustainability is management and the utilization of fish resources which can guarantee the availability of that resources continuously. In this research, the sustainabili ty status offisheries in Manado city has been examined through ecological, economic, sociological, technological, and ethical approaches by employing RAPFISH technique. The status of the purse seine fishery in this region is 53% of the fisheries sustainability which is classified as good fisheries. Meanwhile, tuna long pole lines and gillnets fisheries status are 57.5% and 60.1 %, respectively, of the good fisheries sustainability. Improvement of this status can be carried out by improving the severalattributes qualities, among others: wage, other income and sector employment (economy); socialization offishing, environmental knowledge and kin participation (social); pre-sale processing, gear selectivity and fishing power (technology); alternatives and just management (ethics).Key words: sustainability, fisheries status, coastal city

The paper describes about rainfall zoning and rainfall prediction modeling and its use for rice availability and vulnerability analysis. The study used rainfall data from Station Baros (Banten region), Station Karawang and Station Kasomalang Subang (Northern Coastal of West-Java), and Station Tarogong (Garut). Fuzzy clustering methods, that was applied for rainfall zoning, used the representative data for El-Nino, La-Nina and normal means condition during 1980-2006 periods. Neural network ana Aris Pramudia; Yonny Koesmaryono; Irsal Las; Tania June; I Wayan Astika; Eleonora Runtunuwu
Forum Pasca Sarjana Vol. 31 No. 2 (2008): Forum Pascasarjana
Publisher : Forum Pasca Sarjana

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The paper describes about rainfall zoning and rainfall prediction modeling and its use for rice availability and vulnerability analysis. The study used rainfall data from Station Baros (Banten region), Station Karawang and Station Kasomalang Subang (Northern Coastal of West-Java), and Station Tarogong (Garut). Fuzzy clustering methods, that was applied for rainfall zoning, used the representative data for El-Nino, La-Nina and normal means condition during 1980-2006 periods. Neural network analysis technique was applied for rainfall prediction modeling. Training set of the model based on the rainfall data of 1990-2002 periods, and validation model based on data of 2003-2006 periods. The model were used to predict the rainfall of 2007-2008 periods. The distibution of equivalence value between rainfall stations was very variative under El-Nino, La-Nina and Normal condition. On the certain of equivalence level it could be derivated some different rainfall zone under El-Nino, La-Nina and normal condition. Model training set could explain 88% of Baros rainfall variability, 89% of Karawang rainfall variability, and 72% of Kasomalang rainfall variability. At Baros, Karawang and Subang, rainfall was predicted to be increased on November 2007-February 2008 period, and to be decreased on the March-June 2008, and to be increased on July-November 2008. The rainfall decreasing on the March-June would carry a losses of rice production up to 25%. But, applying the well irrigation management and suitable growing periods could decrease and mitigate the decreasing of paddy production. Key words: rainfall prediction model, fuzzy clustering, neural network analysis, rice vulnerability

Computer Network Specification for Distributed Spatial Data System Agus Pribadi; I Wayan Astika; M. Arief Syafiâ€™i
Seminar Nasional Aplikasi Teknologi Informasi (SNATI) 2006
Publisher : Jurusan Teknik Informatika, Fakultas Teknologi Industri, Universitas Islam Indonesia

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In recent years, spatial data and database become very important thing. Spatial data and database are stored into data and database server called data center. The last trend of spatial data and database management utilizes the concepts of data clearinghouse (DCH) and data warehousing (DWH). The Geographic Information System (GIS) can contain a wide variety of geographic data types originating from many diverse sources. Data source providers also come from various locations separately. The main issue of GIS project concerning to the data and information is currentness. In many cases, GIS projects consume a lot of the time to collect data inputs due to the distributed location of data. This condition decreases the currentness of GIS data used in the project. Another major development of recent years is in computer networks. The computer network can make many GIS data providers (server) interconnected. The most current utilization of computer network in the GIS is still used for data transfer and data visualization. The terminal simply provides a means for entering and displaying data for the computer.The objective of this research is to specify the computer network specification to support distributed spatial data processing based on GIS application. This system will be developed based on computer network infrastructure in Indonesia. The research methodology is field study, especially for computer network at Bakosurtanal and Biotrop – MIT as case. The result of this research is computer network specification that is used for spatial data transmission on distributed spatial data especially is in the internet connection.Based on current condition of physical computer network connection, the internet connection by peer-to-peer communication mode was be found unstable. The requested timed out signals were gotten 41.8% - 75.2% in the ping test of internet connection. The required time to transfer a GIS data file about 500 MByte was around 9 hours. Thereby, 100 KByte of GIS data needing data transfer time was around 6 seconds. The current physical connection technique for distributed spatial data using 128 Kbps bandwidth of internet connection, network cable category 5, is not recommended because the network connection is dissatisfactory. The new computer network specification has been arranged to solve the internet connection problem. It characteristics are: a) the intranet backbone uses 10 gigabit mode of fiber optic, b) using at least category 6 of twisted-pair cable for local computer network connection, c) the internet connection capacity (bandwidth) is recommended to apply at least 2 Mbps with stable connection, d) the recommendation of physical computer network topology is tree, e) utilizing a computerized network switch system to manage the computer network resources easier.

IDENTIFIKASI MUTU FISIK BERAS DENGAN MENGGUNAKAN TEKNOLOGI PENGOLAHAN CITRA DAN JARINGAN SYARAF TIRUAN (Identification of physical quality of rice by using technology image processing and artificial neural network) Agus Supriatna Somantri; Emmy Darmawati; I Wayan Astika
Jurnal Penelitian Pascapanen Pertanian Vol 10, No 2 (2013): Jurnal Penelitian Pascapanen Pertanian
Publisher : Balai Besar Penelitian dan Pengembangan Pascapanen Pertanian

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21082/jpasca.v10n2.2013.95-103

Proses pemutuan beras sangat penting untuk dilakukan sebelum beras dipasarkan. Sampai saat ini proses pemutuan beras masih dilakukan secara manual (visual) yang dilakukan oleh para ahli yang berpengalaman, namun cara ini memiliki kelemahan : 1) Adanya faktor subjektif dari pengamat (ahli); 2) Kondisi fisik dan psikologis pengamat yang menyebabkan tidak konsistennya hasil pemutuan; dan 3) Waktu yang dibutuhkan untuk proses pemutuan relatif lebih lama. Tujuan penelitian ini adalah mempelajari karakteristik mutu fisik beras berdasarkan analisis pengolahan citra dan jaringan syaraf tiruan. Hasil penelitian menunjukkan bahwa proses pemutuan beras kepala, beras patah, beras menir dan gabah dengan menggunakan pengolahan citra digital dapat diminimalisir penggunaan input parameternya hanya dengan menggunakan indeks B, roundness, luas, panjang dan saturation, sedangkan untuk menduga beras merah, beras kuning/rusak, beras hijau mengapur dan benda asing dapat menggunakan parameter indeks R, indeks G, indeks B, roundness dan luas. Keberagaman nilai akurasi pada training dari masing-masing varietas beras disebabkan oleh perbedaan bentuk, ukuran dan warna dari masing-masing butir beras tersebut, sehingga menyebabkan nilai akurasinya berbeda. Training citra beras kepala, beras patah, beras menir dan gabah dengan 5 parameter input menunjukkan hasil yang baik yaitu 97,14% untuk Inpari 13, 99,6% untuk Inpari 19, 98,37% untuk Cirata, 97,9% untuk Muncul dan 99,6% untuk Way Apo Buru. Sedangkan nilai validasinya adalah 96,74% untuk Inpari 13, 95,35% untuk Inpari 19, 96,73% untuk Cirata, 96,02% untuk Muncul, dan 98,68% untuk Way Apo Buru. Training citra beras merah, beras kuning/rusak, beras hijau mengapur dan benda asing hasilnya adalah 98,55% dan hasil validasinya adalah 90,48%.Kata kunci :Pengolahan citra, beras, jaringan syaraf tiruan, mutu fisikEnglish Version AbstractQuality assessment of rice quality is very important activity before it's marketed. Up to now, the rice quality inspection is done manually (visually) by trained examiners who have expertise and experience, but it has disadvantages such as: (1) the subjectivity factor of the observer, (2) the physical exhaustion of observer causing inconsistent result, and (3) the time required for the observation is relatively much longer. The purpose of this research is to develop an image processing method for identifying physical quality of rice. The result showed that the diversity of accuracy values caused by differences of shape, size and color of each variety of rice. The identification of physical quality of head rice, broken rice, groats and paddy can be determined by using the parameters input of image, i.e. index B, roundness, area, length and saturation. As for the estimation of red rice, yellow rice (damaged), chalky grain and foreign matters can be determined by using parameters such as index R, G, B, roundness and area. The accuracy of training of head rice, broken rice, grain groats and unhulled rice by using 5 parameters showed good results, ie 97.14%, 99.6%, 98.37%, 97.9%, and 99.6%, while their validation are 96.74%, 95.35%, 96.73%, 96.02%, and 98.68% for Inpari 13, Inpari 19, Cirata, Muncul and Way Apo Buru respectively. The accuracy of brown rice, yellow rice, chalky grain and foreign matter recognition was 98.55% for training process and 90.48% for validation.Keywords : Image processing, rice, artificial neural network, physical quality

PEMETAAN KERAGAMAN WARNA DAUN PADI DENGAN CITRA YANG DIAMBIL DARI PESAWAT TERBANG MINI I Wayan Astika; Radite P. A. Setiawan; M. Ardiyansah
Teknotan: Jurnal Industri Teknologi Pertanian Vol 6, No 2 (2012)
Publisher : Fakultas Teknologi Industri Pertanian

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Penelitian ini bertujuan merancang sistem akuisisi data keragaman tingkat warna daun pada suatu hamparan lahan sawah dan memetakan keragaman tersebut secara spasial yang nantinya dipakai sebagai pedoman melakukan pemupukan dengan laju variabel (variable rate application). Tingkat warna daun diukur melalui citra yang ditangkap oleh sebuah kamera digital yang kemudian diolah untuk mendapatkan tingkat warna daun sesuai dengan standar bagan warna daun (BWD) IRRI. Kamera digital dioperasikan dari suatu ketinggian dengan 2 cara yaitu dengan galah vertikal berketinggian sekitar 5 meter dan dengan pesawat terbang mini dari ketinggian sekitar 30-100 meter. Beberapa program komputer dibuat untuk melakukan beberapa proses yaitu mendapatkan koordinat-kordinat patokan, warna patokan, warna setiap piksel, melakukan konversi koordinat citra ke dalam kordinat lahan, pemetaan spasial, dan melakukan grading tingkat warna daun pada peta spasial.Hasil akhirnya adalah peta spasial dimana setiap grid memiliki informasi tingkat kehijauan daun tertentu. Percobaan pendahuluan mendapatkan bahwa perbedaan tingkat warna daun dapat dinyatakan dengan perbedaan komponen warna RGB secara konsisten pada berbagai intensitas cahaya. Artificial neural network dipakai untuk melakukan konversi koordinat di dalam citra ke koordinat lahan. Pengukuran menghasilkan akurasi 18 – 78 % pada pengukuran warna daun dengan galah dan akurasi 64 – 78 % untuk pemakaian pesawat terbang mini. Permasalahan yang dihadapi adalah efek pandangan perspektif pada citra lahan, adanya efek mata ikan pada penerbangan tinggi, dan ketelitian dalam memilih piksel patokan. Kata kunci: pertanian presisi, sensor kamera, warna daun, dosis pemupukan, pesawat terbang mini, artificial neural network

Pengembangan Dan Uji Kinerja Mesin Pemupuk Dosis Variabel Pada Budidaya Padi Sawah Dengan Konsep Pertanian Presisi Pandu Gunawan; Radite P.A. Setiawan; I Wayan Astika
Jurnal Keteknikan Pertanian Vol. 27 No. 1 (2013): Jurnal Keteknikan Pertanian
Publisher : PERTETA

ABSTRACT This paper discussed about the development of electronically controlled fertilizer applicator machine based on modified riding type paddy transplanter tractor. The machine had ability to perform variable rate of application dose using urea, phosphor, and NPK compound. The developed variable rate applicator (VRA) equipped with digital controlled metering devices so that the dose of application can be given accurately and the amount of application can be change in flexible way according to recommended dose. The machine has 4 unit of metering devices, has 8 application rows, and equipped with pneumatic diffusers. RTK-DGPS was used to monitor the position in the field. Performance test has been done for several parameters, included uniformity of air flow at each diffuser, granular fertilizer spreader pattern, and linearity of actual amount of fertilizer with respect to the commanded dose. Average rate of air flow in each diffuser was 0.0073 m3/s, with 7.23 % CV. Total working width of the machine was about 5 m. Field capacity was about 0.12 ha/hours. The results of the tests on metering dose showed that the develop VRA could spread fertilizer uniformly and gave accurate application dose. The yield result showed that uniformity of unhulled rice production was reached 74.7%.Keywords: VRT, URT, fertilization, paddy, precision farming Diterima: 21 Januari 2012 ; Disetujui; 18 Juli 2012 ABSTRAK Makalah ini membahas tentang pengembangan system penjatah pupuk dengan control elektronik pada mesin pemupuk dosis variable menggunakan traktor perawatan lahan sawah yang telah dimodifikasi.Mesin yang dikembangkan memiliki kemampuan menjatah dosis pupuk secara variable untuk jenis pupuk urea, fosfor, dan NPK. Mesin pemupuk dosisvariabel dilengkapi dengan kontrol digital untuk penjatahan pupuk sehingga dapat memberikan takaran pupuk secaraakurat sesuai dengan dosis yang dianjurkan.Mesin memiliki empat unit penjatah pupuk,delapan baris aplikasi pupuk, dan dilengkapi dengan diffuser pneumatic untuk menyebarkan pupuk. RTK-DGPS digunakan untuk memantau posisi mesin di lahan. Uji performansi telah dilakukan untuk mengetahui kinerja mesin pada beberapa parameter pengujian, yaitu: keseragaman aliran udara bertekanan pada komponen diffuser, polase baranpupuk granular, dana kurasi jumlah pupuk yang dijatah terhadap jumlah pupuk yang dianjurkan. Rata-rata debit aliran udara pada komponen diffuser adalah 0.0073 m3/detik dengan nilai CV 7.23%. Lebar kerja mesin 5 meter.Kapasitas lapang efektif mesin0.94 ha/jam. Hasil pengujian pada jumlah dosis yang dikeluarkan menunjukkan bahwa mesin pemupuk dosisvariabel dapat menyebarkan pupuksecara merata dan akurat. Hasil panen gabah pada lahan percobaan menunjukkan nilai tingkat keseragaman hasil produksi gabah mencapai 74.7%. Kata Kunci: Variable Rate Technology, Uniform Rate Technology, pemupukan, padi, pertanianpresisi

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

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

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