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All Journal Indonesian Journal of Geography SOCA: Jurnal Sosial Ekonomi Pertanian Jurnal Keteknikan Pertanian agriTECH Jurnal Ilmiah Rekayasa Pertanian dan Biosistem SAINS TANAH - Journal of Soil Science and Agroclimatology Jurnal Irigasi Jurnal Teknik Sipil

SIGIT SUPADMO ARIF

Department Of Agricultural And Biosystems Engineering, Faculty Of Agricultural Technology, Universitas Gadjah Mada

Author-ID : 393169

Agriculture, Biological Sciences & Forestry Civil Engineering, Building, Construction & Architecture Earth & Planetary Sciences Economics, Econometrics & Finance Education Engineering Transportation

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Pengelolaan Genangan Air Dangkal untuk Meningkatkan Hasil Padi dengan Kerangka Kerja System of Rice Intensification (SRI) Maftukhah, Rizki; Erni R, -; Purwanto, Benito Heru; Sri R, -; Arif, Sigit Supadmo
Jurnal Irigasi Vol 10, No 1 (2015): Jurnal Irigasi
Publisher : Balai Teknik Irigasi

Nowadays, the issues of water scarcity, high fertilizer cost, and negative environmental impacts due to high agrochemicals use are escalating so that the improvement of resource efficiency on rice cultivation is necessary. Based on many studies, SRI is a very promising approach. Pot experiment was conducted under SRI framework with continuous flooding (CF), shallow water depth (SWD), and field capacity (FC) irrigation; together with four different doses of organic fertilizer (F100, F50, F0, and LF). The aim of this study is to figure out the effect of water and organic fertilizer managements on rice performances. Our experiment showed soil Eh was significantly different between three water management treatments (p < 0.05) where FC gained the highest soil Eh, followed by SWD and CF. Whereas, organic fertilizer management gave insignificant effect on soil EH. Under SWD management, number of tillers was significantly higher than CF and FC. On the other hand, water management and organic fertilization had no significant effect on plant height. SWD significantly increased yield and biomass followed by CF and FC. Organic fertilizer caused significant reduction on number of tiller, yield and biomass. In conclusion, SWD provided better environment for rice growth and enhance the rice performances, while the effect of organic fertilizer was not clearly seen.

Studi Komparasi Prediksi Curah Hujan Metode Fast Fourier Transformation (FFT), Autoregressive Integrated Moving Average (ARIMA) dan Artificial Neural Network (ANN) Dyah Susilokarti; Sigit Supadmo Arif; Sahid Susanto; Lilik Sutiarso
agriTECH Vol 35, No 2 (2015)
Publisher : Faculty of Agricultural Technology, Universitas Gadjah Mada, Yogyakarta, Indonesia

Optimum climate condition and water availability are essential to support strategic venue and time for plants to grow and produce. Precipitation prediction is needed to determine how much precipitation will provide water for plants on each stage of growth. Nowadays, the high variability of precipitation calls for a prediction model that will accurately foresee the precipitation condition in the future. The prediction conducted is based on time-series data analysis. The research aims to comparethe effectiveness of three precipitation prediction methods, which are Fast Forier Transformation (FFT), Autoregressive Integrated Moving Average (ARIMA) and Artificial Neural Network (ANN). Their respective performances are determined by their Mean Square Error (MSE) values. Methods with highest correlation values and lowest MSE shows the best performance. The MSE result for FFT is 14,92; ARIMA is 17,49; and ANN is 0,07. This research concluded that Artificial Neural Network (ANN) method showed best performance compare to the other two because it had produced a prediction with the lowest MSE value.ABSTRAKKondisi iklim dan ketersediaan air yang optimal bagi pertumbuhan dan perkembangan tanaman sangat diperlukan dalam upaya mendukung strategi budidaya tanaman sesuai ruang dan waktu. Prediksi curah hujan sangat diperlukan untuk untuk mengetahui sejauh mana curah hujan dapat memenuhi kebutuhan air pada setiap tahap pertumbuhan tanaman. Variabilitas curah hujan yang tinggi saat ini, membutuhkan pemodelan yang dapat memprediksi secara akurat bagaimana kondisi curah hujan dimasa yang akan datang. Prediksi yang dilakukan adalah prediksi berdasarkan urutan waktu (time-series). Tujuan dari penelitian ini adalah untuk membandingkan akurasi prediksi curah hujan antara metode Fast Farier Transformation (FFT), Autoregressive Integrated Moving Average (ARIMA) dan Artificial Neural Network (ANN). Kinerja ketiga metode yang digunakan dilihat dari nilai Mean Square Error (MSE). Metode dengan nilai korelasi tertinggi dan nilai MSE terkecil menunjukkan kinerja terbaik. Hasil penelitan untuk FFT diperoleh nilai MSE = 14,92, ARIMA = 17,49 sedangkan ANN = 0,07. Ini menunjukkan bahwa metode Artificial Neural Network (ANN) menunjukkan kinerja yang paling baik diantara dua metode lainnya karena menghasilkan prediksi yang mempunyai nilai MSE terkecil.

Kebutuhan Riset Pengelolaan Sumberdaya Air (SDA) di Masa Depan : Sebuah Gagasan Awal Sigit Supadmo Arif
agriTECH Vol 26, No 4 (2006)
Publisher : Faculty of Agricultural Technology, Universitas Gadjah Mada, Yogyakarta, Indonesia

During some later years, several calamities had occurred several times in the country. Landslides and floods come during wet season and in the opposite drought happened in dry season. Just wet season end, drought comes and threat all activities of human life in most region in the country. In some places all of these conditions change very quickly. Mostly, all those occurred due to inappropriate management of water resources. This paper aims at discussing some prospects of water resources research in the future. One knows that the existence of water resources in the earth is a complex system and satisfies some certain natural laws to form an natural equilibrium, so, it more easily if management of water resources research is approached by applying system analysis. The paper also discussed application of new paradigm as well as several new research methods in social, economical and engineering aspects in water resources management.

Mengukur Kinerja Manajemen Irigasi dengan Pendekatan Teori Himpunan Kekaburan: Kajian Kasus di Daerah Irigasi Van Der Wijck Sigit Supadmo Arif; Murtiningrum Murtiningrum; Rochmad Basuki
agriTECH Vol 27, No 2 (2007)
Publisher : Faculty of Agricultural Technology, Universitas Gadjah Mada, Yogyakarta, Indonesia

This paper aims to make a comparation between the performance of irrigation system in early irrigation policy reform and that of the recent condition. Van der Wijck Irrigation System in Yogyakarta was chosen as case study. Early data was collected through questioner and participatory method. Fuzzy set theory was employed to determine the most unsustainable aspect for the irrigation system. It revealed that economic aspect was the most threaten aspect. Because of abundant water, farmers in the upper area of Van der Wijck grow rice in the entire year. However, farmers received very small amount income from their land. Recently most of them convert their rice fields into shrimp ponds because it financially gives more benefit. On the other hand this sectoral development created upper-lower conflicts among water users within the system. This policy change would affected technology and management in the system.ABSTRAKPaper ini bertujuan untuk membandingkan kinerja sistem irigasi pada awal pemberlakuan reformasi kebijakan irigasi dengan kinerja saat ini. Daerah Irigasi Van der Wijck di Yogyakarta dipilih sebagai kajian kasus. Data awal dikumpulkan dengan kuesioner maupun secara partisipatif. Teori himpunan kekaburan digunakan untuk mengetahui aspek yang paling tidak berlanjut dalam sistem irigasi. Hasilnya menunjukkan bahwa aspek ekonomi merupakan aspek yang paling terancam. Karena banyaknya air, petani di daerah hulu Daerah Irigasi Van der Wijck membudidayakan padi sepanjang tahun, namun petani tidak menerima banyak keuntungan dari budidaya ini. Beberapa tahun terakhir ini, banyak petani mengkonversi sawahnya menjadi tambak udang yang secara ekonomis memberikan banyak keuntungan. Meskipun demikian, pengembangan secara sektoral ini menimbulkan konflik hulu-hilir antar pengguna air dalam sistyem irigasi. Perubahan kebijakan ini dapat berpengaruh pada teknologi dan manajemen di dalam sistem irigasi.

Model Simulasi Pengembangan Sistem Irigasi untuk Tanaman Jagung di Lahan Sawah dan Lahan Kering (Studi Kasus Pada Usahatani Jagung di Kabupaten Kediri) Agung Prabowo; Sigit Supadmo Arif; Lilik Sutiarso; Bambang Purwantana
agriTECH Vol 34, No 2 (2014)
Publisher : Faculty of Agricultural Technology, Universitas Gadjah Mada, Yogyakarta, Indonesia

Corn crop irrigation system in Kediri has not been able to support its productivity to meet the needs of the animal feed industry raw materials in East Java. To achieve the sustainability of corn crop irrigation system development is required planning through appropriate systems approach. The purpose of this research is to build a simulation model of corn crop irrigation system development in paddy field and dry land to increase production and incomes of farmers. The method used in this study is the method of system approach. System approach was used to formulate the simulation model of an irrigation system for corn crops. The time limit of simulation model was started in 2012 until 2035. The structure of the model was grouped into four sub models, namely: environment, technology, farming and management. In this simulation model was conducted in 4 scenarios: 1) control, 2) increasing the Cropping Intensity (CI) of corn 20% and the development of pump irrigation in dry land, 3) increasing CI of corn 20% and the development of pump irrigation in dry land and the paddy field, and 4) increasing CI of corn 20% and the development of pump irrigation in dry land and utilizing an existing irrigation network in the paddy field. Measuring tools for success in development of the irrigation system are the highest increase for maize production and farmer’s income. From this result it was concluded that scenario 4 was the best scenario to be implemented because it can increase the production was 114.33% and farmer income was 130.93% with an investment cost of Rp. 1141.27, -/kg of corn.ABSTRAKSistem irigasi tanaman jagung yang ada di Kabupaten Kediri belum mampu mendukung peningkatan produksi untuk memenuhi kebutuhan bahan baku industri pakan ternak di Jawa Timur. Untuk mencapai keberhasilan program pengembangan sistem irigasi tanaman jagung tersebut diperlukan perencanaan melalui metode pendekatan sistem yang tepat. Tujuan penelitian ini adalah membangun model simulasi pengembangan sistem irigasi tanaman jagung di lahan sawah dan lahan kering untuk meningkatkan produksi dan pendapatan petani jagung. Metode yang digunakan dalam penelitian ini adalah metode pendekatan sistem. Pendekatan sistem digunakan untuk merumuskan model simulasi pengembangan sistem irigasi untuk tanaman jagung. Batasan waktu model simulasi ini dimulai pada tahun 2012 sampai dengan 2035. Struktur model dikelompokkan menjadi empat submodel, yaitu: lingkungan, teknologi, usahatani dan pengelolaan. Pada model simulasi ini dilakukan 4 skenario, yaitu : 1) kontrol, 2) meningkatkan intensitas penanaman (IP) jagung 20% dan pengembangan irigasi pompa di lahan kering, 3) meningkatkan IP jagung 20% dan pengembangan irigasi pompa di lahan kering serta di lahan sawah, dan 4) meningkatkan IP jagung 20% dan pengembangan irigasi pompa di lahan kering dan memanfaatkan jaringan irigasi yang ada di lahan sawah. Sebagai tolok ukur keberhasilan pengembangan sistem irigasi tersebut adalah terjadi peningkatan yang tertinggi untuk produksi dan pendapatan petani jagung. Dari hasil penelitian ini diperoleh kesimpulan bahwa skenario 4 merupakan yang terbaik untuk dilaksanakan karena mampu meningkatkan produksi 114,33% dan pendapatan petani 130,93% dengan biaya investasi Rp. 1.141,27,-/kg jagung.

Pengendalian Aset Nirwujud dalam Manajemen Sistem Irigasi: Konsep dan Pengembangan Model Nugroho Tri Waskitho; Sigit Supadmo Arif; Mochammad Maksum; Sahid Susanto
agriTECH Vol 33, No 1 (2013)
Publisher : Faculty of Agricultural Technology, Universitas Gadjah Mada, Yogyakarta, Indonesia

Irrigation was an important component of the agricultural development in Indonesia, but it had many problems. Irrigation management was inefficient, irrigation networks were damaged and farmers participation were poor. These problems were caused by poor of intangible assets. The research aimed at developing the concept and the model of controlling intangible assets in irrigation system management. The research method consisted of two stages. The first stage was developing the concept. The concept of controlling intangible assets in irrigation system management was developed based on principles of knowledge management. The concept stated that intangible assets in irrigation system can be controlled using knowledge management. The second stage was developing the model which consisted of model building and sensivity analysis. Model of controlling intangible assets in irrigation system management was build using neuro-fuzzy. The model had three submodels: knowledge management, intangible assets and performance of irrigation system. Evaluating the model was done in Sapon irrigation system in Kulon Progo, Yogyakarta. Data collecting was done using questionnaire on nine Water Use Associations. Data analysis was done using Adaptive Neuro Fuzzy Inference System. The model had been evaluated using correlation coefficient, Mean Absolute Percentage Error and Root Mean Square Error. Result of the study indicated that the concept of controlling intangible assets in irrigation system management had developed based on knowledge management. The concept stated that irrigation system management had to balance between tangible assets and intangible assets. Intangible assets which had amortization need be controlled. Controlling intangible assets can be done by knowledge management. The model of controlling intangible assets in irrigation system management could predict intangible assets and performance of irrigation system well. The model linked knowledge management, intangible assets and performance of irrigation system. Knowledge management felt into four main components: learning organization, principle of organization, policy and strategy of organization and information and communication technology which controlling intangible assets in irrigation system. Intangible assets consisted of moral intelligence, emotional intelligence, creative attitude, institutional culture, and farmer participation which controlling effectiveness of irrigation system. Learning organization was the most sensitive parameter in influencing moral intelligence and creative attitute. Policy and strategy were the most sensitive parameter in influencing emotional intelligence, institutional cultura and farmer participation. Farmer participation was the most sensitive parameter in influencing effectiveness of irrigation system.ABSTRAKIrigasi merupakan komponen penting dalam pembangunan sektor pertanian di Indonesia namun masih mempunyai banyak permasalahan. Manajemen irigasi belum efisien, partisipasi petani yang menurun, jaringan irigasi yang rusak sehingga menurunkan kinerja sistem irigasi. Permasalahan tersebut disebabkan rendahnya kualitas aset nirwujud sistem irigasi. Tujuan penelitian adalah mengembangkan konsep dan model pengendalian aset nirwujud dalam manajemen sistem irigasi. Metode penelitian terdiri dari dua tahap. Tahap pertama adalah pengembangan konsep. Konsep pengendalian aset nirwujud dalam manajemen sistem irigasi dikembangkan dari prinsip manajemen pengetahuan. Tahap kedua adalah pengembangkan model yang terdiri dari pembangunan model dan analisis sensitivitas. Pembangunan model pengendalian aset nirwujud dalam manajemen sistem irigasi berbasis manajemen pengetahuan dengan prinsip neuro-fuzzy. Model mempunyai tiga submodel yaitu manajemen pengetahuan, aset nirwujud dan kinerja sistem irigasi. Pengujian model dilakukan di Daerah Irigasi Sapon di Kabupaten Kulon Progo, Propinsi Daerah Istimewa Yogyakarta. Pengumpulan data dilakukan dengan kuesioner terhadap sembilan Perkumpulan Petani Pemakai Air. Analisa data dilakukan dengan Adaptive Neuro Fuzzy Inference System. Model dievaluasi dengan koefisien korelasi, Mean Absolute Percentage Error dan Root Mean Square Error. Penelitian menghasilkan bahwa konsep pengendalian aset nirwujud dalam manajemen sistem irigasi telah tersusun berbasis manajemen pengetahuan. Konsep menekankan bahwa manajemen sistem irigasi harus menyeimbangkan antara aset wujud dengan aset nirwujud. Aset nirwujud yang selama ini kurang diperhatikan mengalami penyusutan sehingga perlu dikendalikan. Upaya pengendalian aset nirwujud dilakukan dengan manajemen pengetahuan. Model pengendalian aset nirwujud dalam manajemen sistem irigasi yang menggunakan prinsip neuro-fuzzy dapat memprediksi aset nirwujud dan efektivitas sistem irigasi dengan cukup memadai. Model menghubungkan manajemen pengetahuan, aset nirwujud dan kinerja sistem irigasi. Manajemen pengetahuan yang terdiri dari organisasi pembelajar, prinsip organisasi, kebijakan dan strategi organisasi, teknologi informasi dan komunikasi mempengaruhi aset nirwujud sistem irigasi. Aset nirwujud yang terdiri dari kecerdasan moral, kecerdasan emosional, sikap kreatif, budaya lembaga, dan partisipasi petani mempengaruhi efektivitas sistem irigasi. Organisasi pembelajar merupakan parameter yang paling sensitif dalam mempengaruhi kecerdasan moral dan sikap kreatif. Kebijakan dan strategi merupakan parameter yang paling sensitif dalam mempengaruhi kecerdasan emosional, budaya lembaga dan partisipasi petani. Partisipasi petani merupakan parameter yang paling sensitif dalam mempengaruhi efektivitas sistem irigasi.

Model Pengendalian Aset Nirwujud dalam Manajemen Sistem Irigasi Nugroho Tri Waskitho; Sigit Supadmo Arif; Mochammad Maksum; Sahid Susanto
agriTECH Vol 32, No 4 (2012)
Publisher : Faculty of Agricultural Technology, Universitas Gadjah Mada, Yogyakarta, Indonesia

The research aimed at developing model of controlling intangible assets in irrigation system management. The research method consisted of two stages. The first stage was building the model of controlling intangible assets in irrigation system management using neuro-fuzzy. The model had three submodels: (i) knowledge management, (ii) intangible assets, and (iii) performance of irrigation system. The second stage was evaluating the model in Sapon irrigation system in Kulon Progo, Yogyakarta. Data collecting was done by questionnaire and interview on nine Water Use Associations. Data analysis was done by Adaptive Neuro Fuzzy Inference System. The model had been evaluated by correlation coefficient, Mean Absolute Percentage Error and Root Mean Square Error. The research result indicated that the model of controlling intangible assets in irrigation system management could predict intangible assets and performance of irrigation system well. The model linked knowledge management, intangible assets and performance of irrigation system. Knowledge management felt into four main components: (i) learning organization, (ii) principle of organization, (iii) policy and strategy of organization, and (iv) information and communication technology which controlling intangible assets in irrigation system. Intangible assets consisted of moral intelligence, emotional intelligence, creativity attitude, institutional culture, and farmer participation which controlling effectiveness of irrigation system.ABSTRAKTujuan penelitian adalah mengembangkan model pengendalian aset nirwujud dalam manajemen sistem irigasi. Metode penelitian terdiri dari dua tahap. Tahap pertama adalah pembangunan model pengendalian aset nirwujud dalam manajemen sistem irigasi dengan prinsip neuro-fuzzy. Model mempunyai tiga sub model yaitu manajemen pengetahuan, aset nirwujud dan kinerja sistem irigasi. Tahap kedua adalah pengujian model di Daerah Irigasi Sapon di kabupaten Kulon Progo, propinsi Daerah Istimewa Yogyakarta. Pengunpulan data dilakukan dengan kuesioner dan wawancara dengan sembilan Perkumpulan Petani Pemakai Air. Analisa data dilakukan dengan Adaptive Neuro Fuzzy Inference System. Model dievaluasi dengan koefisien korelasi, Mean Absolute Percentage Error dan Root Mean Square Error. Penelitian menghasilkan bahwa model pengendalian aset nirwujud dalam manajemen sistem irigasi yang menggunakan prinsip neuro-fuzzy dapat memprediksi aset nirwujud dan efektivitas sistem irigasi dengan baik. Model menghubungan manajemen pengetahuan, aset nirwujud dan kinerja sistem irigasi. Manajemen pengetahuan yang terdiri dari organisasi pembelajar, prinsip organisasi, kebijakan dan strategi organisasi, teknologi informasi dan komunikasi mempengaruhi aset nirwujud sistem irigasi. Aset nirwujud yang terdiri dari kecerdasan moral, kecerdasan emosional, sikap kreatif, budaya lembaga, dan partisipasi petani mempengaruhi efektivitas sistem irigasi.

Operasi dan Pemeliharaan (O&P) Irigasi Masa Depan Sebuah Gagasan Mengantisipasi Perubahan Kebijakan dan Lingkungan Sigit Supadmo Arif
agriTECH Vol 26, No 3 (2006)
Publisher : Faculty of Agricultural Technology, Universitas Gadjah Mada, Yogyakarta, Indonesia

During some later years, several calamities had occured several times in the country. Landslides and floos come during wet season and in the opposite drought happened in dry season. Just wet season end, drought comes and threat all activities of human life in most region in the country. In some places all of there conditions change very quickly. Mostly, all those occured due to inappropriate management of water resources. This paper aims at discussing some prospects of water resources research in the future. One knows that the existence of water resources in the earth is a complex system and satisfies some certain natural laws to form an natural equilibrium, so, it more easilt if management of water resources research is approached by applying system analysis. The paper also discussed application of new paradigm as well as several new research methods in social, economical and engineering aspects in water resources management.

Kajian Aset Nirwujud dalam Manajemen Sistem Irigasi Nugroho Tri Waskitho; Sigit Supadmo Arif; Moch Maksum; Sahid Susanto
agriTECH Vol 32, No 1 (2012)
Publisher : Faculty of Agricultural Technology, Universitas Gadjah Mada, Yogyakarta, Indonesia

The research aimed at studying on intangible assets at irrigation system management. The research method consisted oftwo stages. The first stage was data collecting which was done by questionnaire and interview on management of Water Use Associations (WUA) in Mejing irrigation system in Bantul, Sapon irrigation system in Kulon Progo, Yogyakarta, and Molek irrigation system in Malang, East Java. The second stage was data analysis which was done using ANFIS (Adaptive Neuro Fuzzy Inference System).The research result indicated that knowledge management falls into four main components: (i) learning organization, (ii) principle of organization, (iii) policy and strategy of organization, and (iv) information and communication technology which are integrated for controlling intangible assets in irrigation system. Intangible assets consisted of human capital, structural capital, and relation capital which are integrated for controlling performance of irrigation system. Knowledge management in Mejing and Sapon irrigation systems were in moderate-good condition (3.81 in1-5 scale) and in Molek irrigation system was poor (2.37). Intangible assets in Mejing, Sapon, and Molek irrigation systems were in moderate-good condition (3.61). Effectiveness of performance in Sapon, Mejing, and Molek irrigation systems were very good (0.89-0.95) and were very potential to develop. Each irrigation system had different prioritiesABSTRAKTujuan penelitian ini adalah mengkaji kondisi aset nirwujud dalam manajemen sistem irigasi ditinjau dari manajemenpengetahuan. Metode penelitian terdiri dari dua tahap. Tahap pertama adalah pengumpulan data yang dilakukan dengan kuesioner dan wawancara dengan pengurus Perkumpulan Petani Pemakai Air (P3A) di Daerah Irigasi (DI) Mejing di kabupaten Bantul, dan DI Sapon di kabupaten Kulon Progo, propinsi Daerah Istimewa Yogyakarta, dan DI Molek di kabupaten Malang, Jawa Timur. Tahap kedua adalah analisa data yang dilakukan dengan ANFIS (Adaptive Neuro Fuzzy Inference System).Penelitian menghasilkan bahwa manajemen pengetahuan yang terdiri dari organisasi pembelajar, prinsip organisasi, kebijakan dan strategi organisasi, teknologi informasi dan komunikasi secara terpadu mempengaruhi aset nirwujud sistem irigasi. Aset nirwujud yang terdiri dari modal manusia, modal struktural dan modal hubungan secara terpadu mempengaruhi efektivitas sistem irigasi. Manajemen pengetahuan dalam sistem irigasi Mejing dan Sapon tingkat tersier dalam kondisi cukup baik (3,81 dalam skala 1-5) sedangkan dalam sistem irigasi Molek kondisinya jelek (2,37). Aset nirwujud dalam sistem irigasi Mejing, Sapon dan Molek tingkat tersier dalam kondisi cukup baik (3,61). Kinerja sistem irigasi yang ditunjukkan dengan nilai efektivitas dalam sistem irigasi Mejing, Sapon dan Molek sudah sangat baik (0,89-0,95) namun masih berpotensi untuk ditingkatkan. Sistem irigasi mempunyai prioritas yang berbeda dalam upaya peningkatan aset nirwujudnya. Dalam upaya peningkatan modal manusia sistem irigasi Molek, organisasi pembelajar merupakan prioritas pertama. Dalam upaya peningkatan modal struktural dan modal hubungan, kebijakan dan strategi organisasi mendapat prioritas pertama. Dalam sistem irigasi Sapon, prinsip organisasi merupakan prioritas pertama dalam upaya meningkatkan modal manusia, modal struktural dan modal hubungan. Dalam sistem irigasi Mejing, prinsip organisasi merupakan prioritas pertama dalam upaya meningkatkan modal hubungan. Sistem irigasi mempunyai prioritas yang berbeda pula dalam upaya peningkatan kinerja sistem irigasi. Dalam upaya peningkatan efektivitas sistem irigasi Mejing dan Molek, modal hubungan merupakan prioritas pertama, sedangkan dalam sistem irigasi Sapon, modal struktural merupakan prioritas yang pertama.

Sistem Informasi Teknologi Inovasi untuk Mendukung Pengembangan Agroindustri di Kawasan Lahan Pantai Lilik Sutiarso; Sigit Supadmo Arif; P. Tamtomo; Riki Andika
agriTECH Vol 30, No 2 (2010)
Publisher : Faculty of Agricultural Technology, Universitas Gadjah Mada, Yogyakarta, Indonesia

Recently, the main challenge in the development of agricultural industry sector is the limited presence of the natural resources of agriculture, both in quantity and quality aspects. One of the natural resources that significantly degrade is an agricultural land area. The research was conducted for identifying the capacity of coastal area as one of the natural resources to support development of an agro-industry through introducing agricultural innovation technology. In this stage, outputs of the research were an information system for managing those innovation technologies and profile of the farming system in coastal area.Research mechanisms include: (i) identification of system parameters through field observations, (ii) preparation of model development system, (iii) development of software-based GIS, (iv) validation and verification of systems with field data acquisition, and (v) standardization system. The developed model was tested in three districts in Province Yogyakarta, namely (i) Bantul, (ii) Kulon Progo and (iii) Gunungkidul.ABSTRAKTantangan utama dalam pembangunan industri pertanian adalah semakin terbatasnya keberadaan sumberdaya alam pertanian, baik dalam aspek kualitas maupun kuantitasnya. Salah satu sumberdaya alam yang secara signifikan men- galami degradasi eksistensinya yaitu lahan pertanian. Penelitian ini dilakukan untuk mengidentifikasi kemampuan sumberdaya lahan pantai dalam mendukung pengembangan agroindustri melalui introduksi berbagai teknologi ino- vasi bidang pertanian. Dalam tahapan ini, keluaran dari hasil penelitian merupakan sistem informasi yang bertujuan untuk mengelola teknologi inovasi tersebut yang disertai dengan profil usaha tani di wilayah lahan pantai.Mekanisme penelitian yang dilakukan meliputi; (i) identifikasi parameter sistem melalui observasi lapangan, (ii) pe- nyusunan model pengembangan sistem, (iii) pengembangan perangkat lunak sistem informasi yang berbasis GIS, (iv) validasi dan verifikasi sistem dengan pengambilan data lapangan, dan (v) pembakuan sistem. Uji coba sistem diaplikasikan di tiga kabupaten yang ada di Prop. DIY, yaitu (i) Kab. Bantul, (ii) Kab, Kulon Progo dan (iii) Kab. Gunungkidul.

Co-Authors Abi Prabowo Abi Prabowo Abi Prabowo Agung Prabowo Anditya Sridamar Pratyasta Anjar Suprapto Ansita Gupitakingkin Pradipta Ari Prabowo Bambang Purwantana Bayu Dwi Apri Nugroho Benito Heru Purwanto DJITO - Dyah Susilokarti Dyah Susilokarti Dyah Susilokarti Erni Romansyah Fathul Imron I WAYAN WINDIA Ika Purnamasari Irawadi Irawadi Isti Susilawati Judy Kurniawan Judy Kurniawan Lilik Sutiarso Lilik Sutiarso Lilik Sutiarso Lilik Sutiarso Lilik Sutiarso Lilik Sutiarso Maftukhah, Rizki Mahmud Achmad Moch Maksum Mochammad Maksum Muchamad Wahyu Trinugroho Murtiningrum Murtiningrum Nugroho Tri Waskitho Nuzul Hijri Darlan NYOMAN SUTAWAN P. Tamtomo PURYANTO - Putu Sudira Putu Sudira Putu Sudira Riki Andika Rochmad Basuki Sahid Susanto Sahid Susanto Sahid Susanto Sahid Susanto Saiful Rochdyanto Sri Redjeki Suci Ristiyana SUPRODJO PUSPOSUTARDJO Susilan Hidayat Tri Wahyu Saputra

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Abstract

Abstract

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