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Informatika Pertanian
ISSN : 08521743     EISSN : 25409875     DOI : -
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
ANALISIS PEMILIHAN APLIKASI REPOSITORI PUBLIKASI ILMIAH BADAN PENELITIAN DAN PENGEMBANGAN PERTANIAN Henriyadi, Henriyadi
Informatika Pertanian Vol 21, No 1 (2012): JULI, 2012
Publisher : Sekretariat Badan Penelitian dan Pengembangan Pertanian

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (157.895 KB) | DOI: 10.21082/ip.v21n1.2012.p41-49

Abstract

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.
Statistical Downscaling to Predict Monthly Rainfall Using Generalized Linear Model with Gamma Distribution Soleh, Agus M
Informatika Pertanian Vol 24, No 2 (2015): Desember 2015
Publisher : Sekretariat Badan Penelitian dan Pengembangan Pertanian

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (716.358 KB) | DOI: 10.21082/ip.v24n2.2015.p215-222

Abstract

Statistical Downscaling (SDS) models might involve ill-conditioned covariates (large dimension and high correlation/multicollinear). This problem could be solved by a variable selection technique using L1 regularization/LASSO or a dimension reduction approach using principal component analysis (PCA). In this paper, both methods were applied to generalized linear modeling with gamma distribution and compared to predict rainfall models at 11 rain posts in Indramayu. More over, generalized linear model with gamma distribution was used to obtain non-negative rainfall prediction and compared with principal component regression (PCR). Two types of ill-conditioned data with different characteristics (CMIP5 and GPCP version 2.2) were used as covariates in SDS modeling. The results show that three methods (PCR, Gamma-PC, and Gamma-L1) did not demonstrate significant difference in term of Root Mean Square Error (RMSE) after addition of dummy variables (month) in the models. However, a generalized linear modeling with gamma distribution could be considered as the best methods since it provided non-negative rainfall predictions.
EFISIENSI TEKNIS USAHATANI PADI TADAH HUJAN DI KAWASAN PERBATASAN KABUPATEN SAMBAS DENGAN PENDEKATAN STOCHASTIC FRONTIER FUNGSI PRODUKSI (KASUS DI DESA SEBUBUS, KECAMATAN PALOH) Burhansyah, Rusli
Informatika Pertanian Vol 25, No 2 (2016): Desember 2016
Publisher : Sekretariat Badan Penelitian dan Pengembangan Pertanian

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (454.607 KB) | DOI: 10.21082/ip.v25n2.2016.p163-170

Abstract

Development of rice for food self-sufficiency in the border region of Sambas regency is quite prospective. However, in the District Paloh rice productivity is still relatively low, allegedly due to inefficiency in the use of inputs. The aim of this study was to analyze the efficiency and income of rice farming in the village of Sebubus, Paloh district. The research method used was stohastic frontier of production function with OLS and Maximum likelihood (MLE). The study was conducted in the village Sebubus, District Paloh between May - June 2014. Sampling was done with Proportionate Stratified Random Sampling. The data used was the cross section data obtained from interviews of 120 rice farmers. The Stohastic frontier of production function analysis was performed using the Cobb-Douglas models. The results showed that land, N fertilizer and K fertilizer significantly affected rice production at 95% confidence level. The results also showed that rainfed rice paddy was relatively efficient technically (mean efficiency of 0,81). Age of farmers was a source of technical inefficiency that significantly could improve technical efficiency. Characteristics of farmers such as age, education and experience could help farmers improve their technical efficiency of rice production. Rainfed rice farming in the village Sebubus was relatively favorable (profit of USD 4,099,582.50) and viable (the value of R/C ratio above 2,84 cash costs and the value of R/C ratio on total cost of $ 2,29).
PREDIKSI SILSILAH POPULASI LALAT Chysomya bezziana BERDASARKAN PARSIMONI STATISTIK (PROGRAM TCS) MENGGUNAKAN DATA SEKUEN GEN DNA MITOKONDRIA DAN INTI Wardhana, April H.
Informatika Pertanian Vol 22, No 2 (2013): DESEMBER, 2013
Publisher : Sekretariat Badan Penelitian dan Pengembangan Pertanian

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (756.735 KB) | DOI: 10.21082/ip.v22n2.2013.p65-72

Abstract

Pemberantasan agen penyakit myiasis (lalat Chrysomya bezziana) melalui program Sterile Insect Technique (SIT) dapat dilakukan apabila tidak terdapat “complex sibling” di dalam populasinya. Oleh karena itu, studi penentuan spesies dan silsilah turunannya menjadi dasar penting sebelum program ini dilaksanakan. Sejauh ini, konsep spesies lalat C.bezziana masih menjadi perdebatan dikalangan peneliti. Makalah ini akan membahas tentang aplikasi parsimoni statistik dan keuntungannya serta intrepertasi data dalam memprediksi silsilah populasi lalat C. bezziana di dunia sehingga pendekatan program SIT dalam pemberantasan kasus myiasis dapat direkomendasikan. Parsimoni statistik (program TCS) adalah salah satu piranti statistik yang berfungsi untuk memprediksi silsilah target gen pada tingkat populasi genetik. Analisis ini menggunakan data sekuen gen baik dari DNA mitokondria (haplotipe) ataupun DNA inti (allele). Secara garis besar, parsimoni statistik dibagi menjadi 2 tahap. Pertama adalah batas parsimoni dikalkulasi untuk mendapatkan jarak minimum perbedaan antara haplotipe/allele yang diuji. Kedua adalah mengkonstruksi jejaring (network) silsilah spesies dengan cara menghubungkan haplotipe/allele yang berbeda satu basa, dua basa, tiga basa dan seterusnya sampai jejaring parsimoni terbentuk. Apabila jarak haplotipe melebihi batas parsimoni maka jejaring tidak dapat dihubungkan. Hasil studi pada 754 spesimen lalat C. bezziana yang dikoleksi dari 359 lokasi di 11 negara (termasuk Indonesia) berdasarkan gen sitokrom b/cytb (DNA mitokondria), dan white eyes color/wec (DNA inti) menunjukkan bahwa populasi lalat C.bezziana di dunia terbagi menjadi dua ras, yaitu Asia dan Afrika sehingga dapat dipertimbangkan sebagai dua spesies yang berbeda atau sub-spesies. Adapun gen Elongation Factor 1 alpha/EF1α (DNA inti) tidak dapat membedakan keduaras tersebut. Analisis parsimoni statistik juga mampu mengidentifikasi sub garis keturunan (modal haplotipe/allele) lalat C. bezziana, yaitu 3 sub garis keturunan pada gen cyt b dan 2 sub garis keturunan pada gen wec.   
MODEL SIMULASI PERKEMBANGAN, PERTUMBUHAN DAN NERACA AIR TANAMAN KENTANG PADA DATARAN TINGGI DI INDONESIA Salwati, nFN
Informatika Pertanian Vol 22, No 1 (2013): JULI, 2013
Publisher : Sekretariat Badan Penelitian dan Pengembangan Pertanian

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (708.554 KB) | DOI: 10.21082/ip.v22n1.2013.p53-64

Abstract

This research aims to construct a simulation model of development, growth and waterbalance of potato crop. Reasearchalso predicts climate change impact on potato productivity in several potato production center in Indonesia. The cropmodel being constructed explains process mechanism of development and growth during crop life cycle as a responseto fluctuation of climatic. Three field experiments were conducted at three locations at Pacet and Galudra in West JavaProvince, and at Kerinci in Jambi Province, to support the model development; for model calibration (Pacet) and modelvalidation (Galudra and Kerinci). Paired t-test between model predictions of Granola variety with observations showedthat there were not significant differences (P> 0,05) on all variables tested, except leaf biomass. In Atlantic variety, therewere not significant differences (P> 0,05) on root, tuber biomass and soil water content. Based on graphical test showedcoefficient of determination were (R2) greater than 0,80 for all variables.Generally, results on validation suggested thatmodel predictions were not significantly different with field measurements at Galudra (Granola variety) and Kerinci(Atlantis and Granola variety) for variable of plant ages, biomass of root, stem, leaf and tuber, leaf area index, and soilwater content. 
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

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (472.504 KB) | DOI: 10.21082/ip.v26n2.2017.p57-132

Abstract

ANALISIS KERAGAMAN GENETIK KEDELAI INTRODUKSI MENGGUNAKAN MARKA MIKROSATELIT Nugroho, Kristianto; Terryana, Rerenstradika Tizar; Reflinur, nFN; Asadi, nFN; Lestari, Puji
Informatika Pertanian Vol 26, No 2 (2017): Jurnal Informatika Pertanian
Publisher : Sekretariat Badan Penelitian dan Pengembangan Pertanian

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1162.17 KB) | DOI: 10.21082/ip.v26n2.2017.p121-132

Abstract

Soybean (Glycine max (L.) Meriil) is an important crop next to rice and corn. The development of improved varietyare important to increase national soybean production. The introduced soybean varieties is one of genetic resourcesthat can be used to create improved soybean varieties. The aim of this study was to analyze 35 introduced soybeancultivars using 15 microsatellite markers. The research was conducted in ICABIOGRAD Molecular Biology Laboratory,in January-March 2016. PCR analysis was scored as binary data and the collected data was analyzed using NTSYS andPowerMarker. Specific morphological characters from each soybean cultivar determine the genetic diversity. Significantpositive correlations were identified among morphological characters which would be helpful to improve the desiredcharacter. The result showed that 189 alleles were detected with average of 12.6 alleles per marker. The polymorphismlevel (PIC) was 0.86 (0.76-0.95). There were 12 of total markers having PIC>0.80 indicating their robustness todiscriminating soybean cultivars. The average major allele frequency was 21% and ranges from 8% (Satt100) to 39%(Satt125). Five SSRs were able to distinguish heterozygosity which varied from 0.41 (SoyF3H) to 0.82 (Satt333). Thephylogenetic analyses showed that the 35 introduced soybean cultivars were grouped into two clusters (coefficient ofsimilarity 0.82) consisting of 13 and 22 cultivars according to each genetic background without considering its countryorigin. Both the microsatellite markers and genetic diversity information in this study could be useful to assist crossingstrategy with utilizing introduced genetic materials in future soybean breeding in Indonesia.
OPTIMALISASI CARA PEMERAMAN BUAH CEMPEDAK (Artocarpus champeden) Arif, Abdullah Bin; Diyono, Wahyu
Informatika Pertanian Vol 23, No 1 (2014): JULI, 2014
Publisher : Sekretariat Badan Penelitian dan Pengembangan Pertanian

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (338.252 KB) | DOI: 10.21082/ip.v23n1.2014.p35-46

Abstract

Cempedak (Artocarpus champeden), merupakan salah satu jenis tanaman eksotis asli Indonesia. Rasa buahnya sangat manis dan legit, aromanya sangat wangi dan khas. Buah cempedak merupakan buah klimaterik yang tingkat ketuaannya tidak seragam. Penelitian ini bertujuan untuk mendapatkan teknologi pemeraman buah cempedak yang menghasilkan kematangan buah cempedak lebih seragam dan lebih cepat tanpa harus merubah karakter fisik dan kimianya. Rancangan penelitian yang digunakan adalah rancangan acak lengkap (RAL) 1 faktor yang terdiri dari sepuluh (10) perlakuan pemeraman dengan dua ulangan. Perlakuan tersebut meliputi kontrol (tanpa perlakuan), pelukaan, karbit pada beberapa dosis 1, 2, 3, dan 4 g/kg buah (C1,C2, C3 dan C4) dan ethrel pada beberapa dosis (1000, 1500, 2000 dan 2500) ppm. Analisis statistik yang dilakukan meliputi analisis univariate dan multivariate. Hasil penelitian menunjukkan bahwa perlakuan pemeraman dengan karbit dan ethrel dapat mempercepat pematangan buah cempedak lebih cepat 3 hari dibandingkan dengan perlakuan kontrol dan pelukaan. Semakin tinggi dosis karbit dan ethrel nilai TPT dan kadar air cenderung semakin rendah, sebaliknya nilai vitamin C semakin tinggi dengan semakin tingginya dosis pada hari keempat setelah pemeraman. Perlakuan pemeraman dengan dosis karbit 2 dan 3 g/kg mempunyai kemiripan dengan perlakuan pemeraman ethrel 1500 dan 2000 ppm pada karakter total asam, vitamin C, total padatan terlarut dan kadar air setelah 7 hari pemeraman. Analisis univariate (anova) efektif dalam hal memberikan informasi mengenai perlakuan yang terbaik, sedangkan analisis multivariate (manova dan PCA) efektif dalam mengurangi/mereduksi jumlah variabel dan menentukan kemiripan suatu variabel.
PERAMALAN HARGA TERNAK SAPI BERDASARKAN INDEKS PERUBAHAN HARGA Rusdianto, Sasongko W
Informatika Pertanian Vol 23, No 2 (2014): Desember 2014
Publisher : Sekretariat Badan Penelitian dan Pengembangan Pertanian

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1653.706 KB) | DOI: 10.21082/ip.v23n2.2014.p169-174

Abstract

Cattle prices in Nusa Tenggara Barat tend to change in short time. It is difficult for farmers to predict price in the future. Price changes could affect farmers income. Therefore we need a method by which farmers could predict the price in order to make production decision. The purpose of this study was to predict of price based on the average price level for one year. This study used secondary data of cattle prices monthly, patterns of changes measured by index, then performed statistical analysis. The results of this study shows that the forecasting method used is only relevant to the pattern of price changes with a relatively similar pattern in a specified period. Price changes caused by external factors will have different pattern and causes greater deviation, so it can not be used to predict the price of cattles in NTB.
PENDEKATAN ANALISIS JALUR UNTUK PERCEPATAN ADOPSI AYAM KUB MELALUI MEDIA ELEKTRONIK Wahyuningrum, Retno Dwi; Gunawan, nFN
Informatika Pertanian Vol 25, No 1 (2016): JUNI 2016
Publisher : Sekretariat Badan Penelitian dan Pengembangan Pertanian

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (774.75 KB) | DOI: 10.21082/ip.v25n1.2016.p61-68

Abstract

An effective media dissemination is through electronic media, which includes radio and television. Yet, the farmer character was also influenced to dissemination process. The aim of this studyimproved dissemination method that consider the charactersaudience of radio and television. The study was conducted to 114 respondents, which consist of 57 recipients of the information about KUB chicken through radio and 57 recipients through television media. The respondents was simple randomly selected 50% from total members of each 4 farmer breeder groups, which are 2 groups from Sleman Regency and 2 groups from Bantul Regency. The research was done on July – November 2014. Some observed variables was the farmer characters (age, gender and level of education), knowledge, attitude and farmer motivation for KUB chicken adoption. The knowledge, attitude and respondents motivation were evaluated using questionnaire, which was taken after the respondents received the information through radio or television. The score of questionnare was stated to the interval data, which used Likert scale. Validity andrealibility test of the questionnaire, also normality data were done by SPSS version 21. The differences influenced of radio and television to knowledge, attitude and motivation to adopt the KUB chicken were tested byt-test. The path analysis was used AMOS version 21 to test some factors that affected to the farmer knowledge, attitude and motivation. The result of study shown that television media was well disseminated of innovation than radio, because it should changed the farmer well known and wanted to adopt the KUB chicken.The radio media more suitable for male audience,that had higher motivation than woman.Since accelerating adoption of KUB chicken would be accured if the audience of television mediawere the lower educated farmer, which more motivated than the higher one.

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