Warta Informatika Pertanian : Volume 21 No. 1, 2012

ISSN 0852-1743
Terakreditasi dengan Predikat C
Sertifikat No. 383/AU1/P2MBI/07/2011
(SK Kepala LIPI No. 629/D/2011)
Diterbitkan dua kali setiap tahun oleh :
Sekretariat Badan Litbang Pertanian
Badan Penelitian dan Pengembangan Pertanian

Penanggung Jawab :

Dewan Redaksi :

Ketua :
Dr. Ir. L. Hardi Prasetyo, M.Agr. (Genetika Kuantitatif/Statistika)

Wakil Ketua :

Dr. Ir. Rohlini, M.S. (Manajemen Sumberdaya Pertanian)

Anggota :

Prof.(Riset) Dr. Elna Karmawati, MS. (Entomologi/Statistika)
Prof.(Riset)Dr. Kedi Suradisastra, M.Sc. (Sosiologi dan Kelembagaan Pertanian)
Prof.(Riset) Dr. Ir. Subandriyo, M.Sc. (Pemuliaan dan Genetika Ternak)
Drs. Bambang Sankarto, M.I.M. (Teknologi Informasi)
Dr. Ir. Muhamad Sabran, M.Sc. (Produksi Tanaman/Statistika)
Ir. Erlita Adriani, MBA.  (Sistem Informasi)
Dra. Siti Nurjayanti, M.Sc. (Teknologi Informasi)

Mitra Bestari :

Prof. Dr. Ir. Edi Abdurachman, M.Sc.
Prof. Dr. Ir. Istiqlal Amin, M.Sc.
Dr. Asep Saefuddin, M.Sc.
Dr. Ir. Wayan R. Susila, M.Sc.
Dr. Ir. Harisno, M.M.
Yudho Giri Sucahyo, Ph.D.
Ir. Wahyunto, M.Sc.

Redaksi Pelaksana :

Mohamad Maulana, A.Md.
Henny R. Sipayung, S.Sos.
Wasiyah Utami, A.Md.
  •  Pemodelan Neraca Air Tanah untuk Pendugaan Surplus dan Defisit Air untuk Pertumbuhan
    Tanaman Pangan di Kabupaten Merauke, Papua

Fadjry Djufry
Balai Pengkajian Teknologi Pertanian Sulawesi Selatan, Jl. Perintis Kemerdekaan Km. 17,5 Sudiang – Makassar 90242
E-mail: fadjry2006@yahoo.co.id

Water balance modeling is one approach that can be used to predict the dynamics of soil water content for plant growth, so it can calculate the amount of crop water requirements, particularly at critical periods during which the soil moisture content is very low and in normal circumstances. The experiment was conducted April-November 2010 in Merauke district of Papua province. The collection of climate data (rainfall, temperature, humidity), land information (based on soil type and land use map, primarily to determine water holding capacity and root zone depthof the soils). Land water balance analysis was conducted for each analysis of districts using Thornthwaite and Mather (1957). Furthermore, the results of water balance of land was mapping used the geographic information system (GIS) method for knowing the districts that have the periods of water deficit or water surplus. The results showed that the dominant patterns of rainfall in the district of Merauke is pattern A is a pattern that suggests that there is a clear difference between the amount of rainfall during the rainy season to dry season. Merauke district experienced a period of water deficit of about 4-7 months for a year. Sub districts that have a period and a high amount of water deficit isKuprik for 7 consecutive months. Sub districts that have a short period of deficit 4 months is Jagebob, Kimaan and Muting. The potential for planting food crops in Merauke district ranges from 5-7 months. The surplus period is about 3-6 months of November to May / June. Sub districts that have a longer period surplus is Jagebob and Kimaant is 6 months. The most of the sub districts (6 sub districts) in the Merauke district has a surplus of water> 1000 mm / year. There are only two sub districts that have surplus water <1000 mm / year is Kuprik and Sota. Sub districts that obtain high water surplus for the year is Semangga . Potential of the short growing season found in Kuprik (3 months) while the potential of the growing season is long (6 months) in almost every sub district
(Semangga, Okaba, Muting Kimaan, and Sota). Water balance model is developed enough valid for predicting soil water availability and timing of food crop planting in Merauke district of Papua province.

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  • Rancang Bangun dan Implementasi Program Aplikasi Sistem Pakar untuk
    Diagnosis Hama Utama Kedelai
Atman Roja
Balai Pengkajian Teknologi Pertanian Sumatera Barat, Jl. Raya Padang-Solok
Km. 40 Sukarami-Solok 27366
E-mail : at_roja@yahoo.com

Pest infestation to soybean plant results in yield losses up to 80%. Therefore, it needs to be controlled properly. The main problem in controlling it is that farmers and extension workers are difficult to promptly diagnose the types of main pest infecting the plant in the field. In consequence to the technology applied to control it is not appropriate. Whether it is mechanically, biologically, and chemically. To help them in making prompt decission, a user friendly tool need to be developed. One of the tools is an expert system. The development and implementation of the system were carried out at Indonesian Assessmetn Institute for Agricultural Technology (IAIAT) of West Sumatera Province and Universitas Putra Indonesia, Padang. The project was conducted from March to September 2009. The methodology applied in designing, developing, and implementing. The system was process-oriented methodology that is a model driven technique orienting to a process. The expert system generated uses based knowledge of 15 pests types attaching soybean plant, 7 sites of plant damage, 53 damage symptoms, and 166 nules. While the knowledge base is 15 technologies of main pest management having certainty factor/CF around 0.8 – 1.0. The system interface consists of two forms, that are one for advanced user and the another one for farmer or extension worker. The advanced one is able to improve the existing knowledge as well as the rules and the non advanced just consult to the system. The developed system need to be further developed to make it comprehensive. The system is also called “Sipakar Hatmalai”.

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  • Kajian Pengembangan Infrastruktur Tik Mendukung Implementasi E-government :
    Studi Kasus Badan Litbang Pertanian
Dhani Gartina1) dan Farid Thalib2)
1). Sekretariat Badan Litbang Pertanian, Jl. Ragunan No. 29 Jakarta
2) Dosen Program Pasca Sarjana, Universitas Gunadarma,
    Jl. Mangga Raya N0. 100 Jakarta.
E-mail : dhani@litbang.deptan.go.id

Study on ICT infrastructure development egovernment implementation: case study on Indonesian Agency for Agricultural Research and Development (IAARD). In line with government’s program to perform good governance through the implementation of e-government, IAARD need to continually improve its public service, both internal and external organizations by improving network utilization of Information and Communications Technology (ICT) network. ICT network is the backbone in communicating data communications and information, so that its management and development needs seriously attention from all parties. The conditions of the development of ICT network infrastructures in IAARD have net yet a clear direction and purpose, while the vision of IAARD becomes a world-class research institute in 2014, therefore it needs that ICT plays role in the success of that vision. The draft of blueprint for the development of ICT network infrastructures is hope to be a real support in the success of that vision. A series of studies carried out was started by exexisting design each network units, the condition readiness of institutions as well on technical implementing unit, Human Resources, up to policies. After that data where evaluated in terms of the ability of the internal and external organizations. Based on the evaluation using SWOT analysis thereit was define the strategic plan to develop ICT infrastructures. Strategic Plan consists of three main aspects of policy to develop ICT infrastructures; program; and the competency of human resources development program.

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  • Analisis Pemilihan Aplikasi Repositori Publikasi Ilmiah Badan Penelitian dan
    Pengembangan Pertanian
Pusat Perpustakaan dan Penyebaran Teknologi Pertanian,
Jl. Ir. H. Juanda 20, Bogor
e-mail : henriyadi@yahoo.com

One ferm of scientific recognition indicators for research institution is the number of research articles in scientific publications (journals, proceedings) whether printed or digital form. Scientific publications are usually available in digital format and as a link to the website of each research center as publisher of the publication. Problems that occur with the digital form of scientific publications are difficulties for users to find information, because they have to search them on each research center web sites to obtain the topic. The study chose the appropriate application to integrate the scattered scientific publications into an Institutional Repository, therefore of the user would be easier to trace information and increased Indonesian Agency for Agricultural Research and Development (IAARD) scientific recognition. The method for selecting was adapted and modified from COTS-software-product framework and Analytical Hierarchy Process (AHP) multi criteria analysis. The result indicated that the best application for Repository IAARD scientific publication is DSpace Software.

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  • Analisis Stabilitas Hasil dengan Model Eberhart-russel’s Dan Biplot Pada UML
    Jagung QPM
Muhammad Yasin Hasanul Gaffar, Sigit Budi Santoso, dan Sri Sunarti
Maize breeder’s in ICERI Maros, Sulawesi Selatan-Indonesia,
Jl. Ratulangi Maros – Sulawesi Selatan
E-mail : hg_yasin@yahoo.co.id; balitsereal@litbang.deptan.go.id 

Stability is one of the statistical model for desirable properties to released a variety under wide cultivation. The model of Eberhart-Russel’s and Biplot has been applied to analyze of QPM as candidate new ICERI (Indonesian Cereals Research Institute) variety, there are 14 genotypes F1 (single cross) from inbred lines S3-S4 of population MSQ.K1C0 x tester MR14Q and 2 opv. (open pollinated variety) were conducted in seven environment under central maize production in Indonesia i.e. South Sulawesi (Maros e1, Bajeng-Gowa, e2), Central Sulawesi (Donggala, e3), East Java (Muneng-Probolingg,o, e4), South Kalimantan (Banjarbaru, e5, and Palaihari, e6), and Riau (Pakanbaru, e7). QPM is high lysine and tryptophane in endosperm maize. The experiment in each environment were conducted by rcbd (randomized complete block design) with four replication in rainy season 2007, the stability to studied by Eberhart- Russel’s with model Yij=μ+βiIj+δij, ij (Y:yield, μ:mean, β:regression coefficient, I:environmental index and ΣI =0,δ: j deviation from regression), and stability parameter j 2 i i jb = YI /I , df of pooled deviation and pooled error computed by g(e-2)=80 and eg(r-1)=336, g: 16 of candidate QPM, e:7 environments. The result source of variation by rcbd that there are significant of genotypes in all environments and in pooled analysis by Eberhart-Russel’s were founded interaction of gxe as significant. In biplot x, y shown that single cross MSQ.K1C0.61-1-1xMR14Q was stable genotypes in seven environment and could be recommended as new candidate hybrids with average yield 6.673 t/ha. Positive interaction effect was founded on three candidate hybrids MSQK1C0.8-1-1xMR14, MSQ.K1C0.22-1-1xMR14Q, and MSQ.K1C0.61-1-1x

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