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Informatika Pertanian

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Published by Badan Penelitian dan Pengembangan Pertanian

ISSN : 08521743 EISSN : 25409875 DOI : -

Core Subject : Science, Agriculture,

Agriculture, Biological Sciences & Forestry Computer Science & IT

Informatika Pertanian terbit 2 (dua) kali dalam setahun yaitu pada bulan Juni dan Desember, terbit sejak tahun 1991. Jurnal Informatika Pertanian telah terakreditasi oleh Direktorat Jenderal Penguatan Riset dan Pengembangan, kementerian Riset, Teknologi dan Pendidikan Tinggi Republik Indonesia dengan nomor Akreditasi No. 21/E/KPT/2018, Tanggal 9 Juli 2018. Jurnal Informatika Pertanian telah memiliki ISSN: 0852-1743, e-ISSN: 2540-9875. Jurnal Informatika Pertanian dikelola oleh Sekretariat Badan Penelitian dan Pengembangan Pertanian yang beralamat Jl. Ragunan No. 29 Jakarta Selatan, Jakarta, Indonesia 12540

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Articles 163 Documents

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Effects of Interaction between New Rice Varieties and Plant Spacing to Productivity of Rice -, Ikhwani -
Informatika Pertanian Vol 24, No 2 (2015): Desember 2015
Publisher : Sekretariat Badan Penelitian dan Pengembangan Pertanian

The most effective method to increase rice productivity in one location is to adapt the best combination between the high yielding rice variety and the optimum plant spacing. The objectives of this experiment to observe plant growth characteristic of each high yielding rice variety under each plant spacing to increase rice productivity. Field experiment was conducted at Toroh Regency, Grobogan District, Central Java during 2014 dry season. Treatments were arranged according to a split plot design, with three replications. The main plots (Plant spacings), namely T1- Equal spacing/Tegel 25 cm x 25 cm; T2- Legowo 2:1 (25---50) cm x 12,5 cm; T3- legowo 4:1 empty (25 â€“ 50) cm x 12,5 cm dan T4- legowo 4:1 full (25 â€“ 50) cm x 12,5 cm. The sub plots (variety): Ciherang, Inpari 10, Inpari 15 and Inpari 16.The yields of the rice varieties in this experiment are highly significantly different. It was found one introduced variety produced higher yield than Ciherang, namely Inpari 16 (5.93 + 0.43 ton 14% dry grain/ha). The two other introduced varieties (Inpari 10 and Inpari 15), produced 5.03 + 0.19 and 5.00 + 0.22 ton 14% dry grain/ha, the same or slightly lower than Ciherang. The highest yield occurred when Inpari 16 planted using Legowo 4 : 1 empty, namely 6.57 ton 14% dry grain/ha, consistently produces higher yield than the other varieties do at each plant spacing treatment. Rice yields of Ciherang were relatively more stable under different plant spacings compared with the other varieties. Inpari 10 at harvest stage having 19 tillers per hill under equal spacing 25 cm x 25 cm, decreased to 12 tillers per hill under Legowo 4 : 1 full. Ciherang with the medium size of grains have 1000 grain weight of 23.9 gram, and Inpari 10 25.3 gram. Based on the results of this experiment it is concluded that Inpari 16 planted under Jajar Legowo 4 : 1 empty (25 â€“ 50) cm x 12.5 cm is the best. However, it is suggested to be evaluated acceptability by the local farmers.

PREDICTION OF COMBINING ABILITY AND HETEROSIS IN THE SELECTED PARENTS AND HYBRIDS IN RICE (Oryza Sativa.L) Widyastuti, Yuni; Kartina, Nita; Rumanti, Indrastuti A.; Satoto, nFN
Informatika Pertanian Vol 26, No 1 (2017): Jurnal Informatika Pertanian
Publisher : Sekretariat Badan Penelitian dan Pengembangan Pertanian

Selection of parents based on their combining ability is an effective approach in hybrid breeding. Four CMS and four restorer lines were crossed in line x tester mating design to obtain 16 F1 hybrids rice. The 8 parental lines and 16 hybrids rice were planted in randomized complete block design with three replications at Kuningan and Muara field station of ICRR during 2012-2013. The results revealed that mean squares for GCA were significant for number of fertile spikelet per panicle, a thousand-grains weight, and 50% days of flowering. Mean squares for SCA were significant for plant height and grain yield. Parental lines exhibited the highest GCA effects for GMJ12A (line) and CRS703 (tester) for grain yield trait and revealed good potential to be used as parents for hybrid rice. Among all the crosses, GMJ6A/CRS707 and GMJ12A/CRS707 showed the greatest positive SCA effects for grain yield and had heterosis over better parent and midparent.

JIP Volume 26 No.2 Tahun 2017 pelaksana, redaksi
Informatika Pertanian Vol 26, No 2 (2017): Jurnal Informatika Pertanian
Publisher : Sekretariat Badan Penelitian dan Pengembangan Pertanian

SISTEM TEKNOLOGI INFORMASI KALENDER TANAM TERPADU Ramadhani, Fadhlullah; Runtunuwu, Eleonora; Syahbuddin, Haris
Informatika Pertanian Vol 22, No 2 (2013): DESEMBER, 2013
Publisher : Sekretariat Badan Penelitian dan Pengembangan Pertanian

Ilmu pengetahuan dan teknologi hasil penelitian akan bermanfaat jika sesuai dengan kebutuhan pengguna dan disampaikan secara cepat dan tepat waktu. Salah satu pendekatan yang sering digunakan masa kini adalah pengembangan sistem teknologi informasi yang telah diaplikasikan di berbagai bidang. Makalah ini memaparkan pengemasan informasi kalender tanam tanaman padi dalam bentuk Sistem Teknologi Informasi Kalender Tanam Terpadu Berbasis Web. Pengembangan sistem dilaksanakan dalam bentuk desk study, yang terdiri atas lima tahap, yaitu 1) Inventarisasi data, 2) Penyusunan algoritme analisis, 3) Penyusunan desain sistem, 4) Pemrograman, dan 5) Pengujian dan operasi sistem teknologi informasi kalender tanam terpadu. Produk ini dapat diakses melalui http://katam.litbang.deptan.go.id/ dan menjadi pedoman bagi pengguna sebelum memasuki musim tanam ke depan. Informasi kalender tanam terpadu yang tersedia sampai tingkat kecamatan dan meliputi prediksi awal waktu tanam, estimasi luas tanam, potensi wilayah rawan banjir dan kekeringan, potensi serangan organisme pengganggu tanaman, rekomendasi varietas, serta rekomendasi dosis dan kebutuhan pupuk. Sistem teknologi informasi kalender tanam terpadu bersifat dinamis. Oleh karena itu, baik substansi maupun sistem perlu dievaluasi, diperbarui, dan diperbaiki melalui kegiatan verifikasi dan validasi. Hal ini perlu pemeliharaan (maintenance) terus menerus, agar kebutuhan pengguna mengenai waktu tanam, dan informasi rekomendasi teknologi dapat dipenuhi lebih akurat.

Application of Rainfall Prediction Model on Two Rice Production Centers, in West Java Apriana, Yayan -
Informatika Pertanian Vol 24, No 2 (2015): Desember 2015
Publisher : Sekretariat Badan Penelitian dan Pengembangan Pertanian

The primary objective of this study was to develop rainfall prediction model using artificial neural network analysistechniques, the second objective was to apply the prediction model in rice production centers, and the third objectivewas to compare the model predictions in rice production centers. Research is a desk study with case study in Indramayuand Cianjur districts, West Java. The primary step of this study was collection of rainfall data and map information andClimatology of Rainfall Stations in each district using a combination of input SST Anomaly Nino3.4 and DMI, usingdata from 1990 to 2010, the second step was preparation of rainfall prediction models using network analysis techniquesnerve propagation, the third step was validation the model by comparing the output that has been formed with the actualrainfall data, and the fourth step was comparing rainfall prediction with the results of global climate predictions. Theresults showed that formulation and Validation of the model using input anomalies in the sea surface temperature Nino3.4and DMI applied in Indramayu district was able to follow the actual value of the variability of rainfall, especially duringthe dry season, while in Cianjur district the model was less able to describe it well. The resulting model for Cianjurdistrict validation was low value so it is advisable not to use the model for prediction.

PEMANFAATAN SOFTWARE OPEN SOURCE â€œRâ€ UNTUK PENELITIAN AGROKLIMAT Sarvina, Yeli
Informatika Pertanian Vol 26, No 1 (2017): Jurnal Informatika Pertanian
Publisher : Sekretariat Badan Penelitian dan Pengembangan Pertanian

Analysis in agro-climate research often uses long and varied time series data and even involves complex simulation models. Software is required to produce information quickly, precisely, and accurately. Agro-climate research is sometime constrained by the availability proprietary software since cost of proprietary/ licensed software is relatively high. Open source software (OSS) is one solution to overcome this constrain whereas OSS can be used freely. This paper discusses the utilizationÂ ofÂ "R"Â forÂ agro-climatic research that comprise ofÂ availableÂ â€œRâ€ packages for agro-climate research,Â several studiesÂ have appliedÂ â€œ Râ€Â andÂ advantage ofÂ â€œRâ€ over other statistics software. Nowadays, there are many agroclimate researches and studies have utilized R both for spatial and tabular analysis. R can be used for simple statistical analysis such as variance analysis for experimental research and even for complex climate model. Many â€œRâ€ packages for agro-climate research have been developed. The â€œRâ€ capabilities on data management, model simulation, modelling and machine learning are â€œRâ€ advantages that very useful for current agro-climate research.Â By using "R" researchersÂ have greater opportunity to explore the historical agro-climate data. "R" should be developed in agro-climate research with existing packages. Researchers can develop new packages from existing packages to solve agro-climate problems and agricultural issues in general.

FAKTOR-FAKTOR YANG BERPENGARUH TERHADAP ADOPSI VARIETAS UNGGUL JAGUNG PUTIH DI KABUPATEN GROBOGAN-JAWA TENGAH Kadar, Laila; Siregar, Hermanto; Kumala Putri, Eka Intan
Informatika Pertanian Vol 25, No 2 (2016): Desember 2016
Publisher : Sekretariat Badan Penelitian dan Pengembangan Pertanian

Maize is the second basic food need after rice that is potential and has high economic value in increasing income of farmers and food diversification program. White maize, in particular, is an alternative staple food in Grobogan Regency. The superior variety is a component of technology that plays a prominent role to increase productivity, disease resistant, and environmentally suitable (specific location). The aim of the study was to determine the influential factors in the adoption of superior variety of white maize in order to achieve transfer of technology. The study was carried out in three villages of Grobogan Regency, Central Java: namely Sumber Jatipohon, Godan, and Karangasem. The locations were determined with purposive sampling and the number of respondents interviewed was 120 farmers (40 farmers in each village) between September-December 2015. Analyses of the data were descriptively and quantitatively using percentages, charts and tables with logistic regression. The results of this study showed that the interest of farmers to adopt new superior variety of white maize was quite good around 66.7 percent. Farmersâ€™ interest toward superior variety may be considered high. While factors significantly influencing the adoption included income, knowledge or information on technology, agriculture extension support, pest, and availability of seeds. On the other hand, factors which were not significantly affecting the adoption included age, formal education, farmersâ€™ experience, and land size.

ANALISIS RAGAM GABUNGAN LINTAS LOKASI PEMUPUKAN PADI SAWAH DI KABUPATEN GOWA SULAWESI SELATAN Herniwatin, Nfn
Informatika Pertanian Vol 23, No 2 (2014): Desember 2014
Publisher : Sekretariat Badan Penelitian dan Pengembangan Pertanian

The combined analysis of variance is a method to analyze the interaction between treatments and the environments, conducted in farmers' fields. The combined analysis of variance across locations based on the assessment data of organic and inorganic fertilizer is with the model Yijk = u + Li + Î´ik + Tj + ( LT ) ij + Îµijk conducted in Gowa from April to August 2012. The combined analysis can be applied as a test method of fertilization on farmers land that have different characteristics as to accommodate the influence of the land, treatments, and their interactions. The use of combined analysis of variance reveals the real effect of a single factor of fertilization, land factors, and their interaction, to several yield components, but to the component of growth there was no interaction between the two. It can be seen that the combined application of organic manures with inorganic fertilizers can increase rice production. Interaction between land 1 ( L1 ) with organic fertilizer of 5 t / ha + 200 kg Urea/ha + 300 kg NPK / ha ( T4 ) gave the highest paddy production (8,23 t / ha).

PEMANFAATAN MODEL PROYEKSI IKLIM DAN SIMULASI TANAMAN DALAM PENGUATAN ADAPTASI SISTEM PERTANIAN PADI TERHADAP PENURUNAN PRODUKTIVITAS AKIBAT PERUBAHAN IKLIM: STUDI KASUS DI KABUPATEN SUMEDANG, JAWA BARAT A, Candradijaya
Informatika Pertanian Vol 23, No 2 (2014): Desember 2014
Publisher : Sekretariat Badan Penelitian dan Pengembangan Pertanian

Despite the well-documented model-simulated adverse climate change impact on rice yields reported elsewhere, interventions to address the issue seem to be still limited, particularly at local level. This links to the uncertainty that entails to climate projection and its likely future impact, which varies across regions and climate models. The study analyzes climate change-induced rice yield reduction and the adequacy of current adaptations, to cope with a large range of impact under various climate models. Seventeen General Circulation Models (GCMs) under Representative Concentration Pathways (RCPs) climate change with scenarios of RCP8.5 and RCP4.5, combined with CROPWAT model for near-future (2011-2040) and far-future (2041-2070) projections. The study was conducted in November-December 2013, in Ujungjaya Subdistrict, the District of Sumedang. The output confirms yield reduction to occur in the near-future, to the extent variable across the GCMs. At the highest estimation, rice yield decreases by 32.00% and 31.81%, in comparison to baseline, for near-future under RCP8.5 and RCP4.5, respectively. The reduction extends, with a slightly higher degree, to the far-future. The reduction is sensitive to variation in farming practices of the local farmers, in particular that in planting time and irrigation scheduling. The shifting of planting time to better match rainfall pattern reduces the rice yield by 12.95% for rainfed and 14.07% for the irrigated farming. Meanwhile, improved irrigation scheduling reduces the yield reduction by 16.16%. The findings provide valuable inputs for relevant authorities to understand the climate change-induced rice yield reduction, and to formalate intervention strategies for spesific-location adaptation.

EFEKTIVITAS DAN PERILAKU PETANI DALAM MEMANFAATKAN TEKNOLOGI INFORMASI BERBASIS CYBER EXTENSION Amin, Muh
Informatika Pertanian Vol 23, No 2 (2014): Desember 2014
Publisher : Sekretariat Badan Penelitian dan Pengembangan Pertanian

Information technology based on cyber extension is one of agricultural communication tools to achieve farmers welfare. Cyber extension is a technology innovation to accelerate communication of agricultural information to the user , so that information can be obtained more quickly, precisely and relevant to farmer demands.The study aimed to analyze the effectiveness and behavior of farmers in using cyber extension as a medium of communication and information in support of agricultural development. The study method was survey with 86 farmer as sample respondents. The data were analyzed descriptively and using path analysis. The results show that the effectiveness of cyber extension is influenced by the farmer characteristics, farmers interaction and farmer perception. The effectiveness of cyber extension is the most strongly influenced by farmer characteristics (coefficient rate 0.328 ), and can be seen from the availability of information technology facilities and motivation of farmers to seek required information for farming activities. On the other hand, farmer's behavior is directly influenced by farmer perception and farmer effectiveness in using cyber extension. In addition, cyber extension is strongly effective to influence farmer behaviour with a coefficient of 0.413.

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