Garuda - Garba Rujukan Digital

Article Per Year (5 Year)

All

Informatika Pertanian

IP
Website

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

Arjuna Subject : -

Articles 8 Documents

Search results for , issue "Vol 26, No 2 (2017): Jurnal Informatika Pertanian" : 8 Documents clear

FAKTOR SOSIAL-EKONOMI YANG MEMPENGARUHI PETANI MENGADOPSI INOVASI PENGELOLAAN TANAMAN TERPADU JAGUNG DI GORONTALO Sumarno, Jaka; Hiola, Fatmah Sari Indah
Informatika Pertanian Vol 26, No 2 (2017): Jurnal Informatika Pertanian
Publisher : Sekretariat Badan Penelitian dan Pengembangan Pertanian

Integrated Crop Management (ICM) of maize has been disseminated since long time in all production centers in Indonesia, including Gorontalo. However, the application at the farmer level has not been optimal so that it has not yet expanded. This study aims to measure theÂ adoption rate of the components of maize ICM technology, and to identify socio-economic factors that affect the application of maize by farmers in Gorontalo District. The study was conducted on lowland dryland agro ecosystem in Tibawa Subdistrict and highland dryland agro ecosystem in Bongomeme Subdistrict, Gorontalo District. Site selection was done purposively with the consideration that the districtÂ and sub-district were maize production centers, and had implemented various programs to increase maize production with the application of ICM from various government agencies. The survey was carried out in February-May 2015. The adoption rate of maize ICM component by respondents farmers used the weighting (score). Socio-economic factor analysis methods that influence the application of maize ICM using logistic regression model. The results showed that the accessibility of farmers to the supporting sources of farming such as capital (credit), market, and technology sources significantly affected the adoption of ICM technology. Steps that can be taken to improve farmers access to credit in formal financial institutions (banks) include providing flexible credit scheme, easy, not procedural, and not burdensome. Increased access of farmers to the source of technology can be done through increased frequency of extension, the implementation of technology dissemination that reaches more farmer groups and farmers.

ANALISIS DIALEL KARAKTER UKURAN BUAH PEPAYA MENGGUNAKAN METODE I DAN II GRIFFING Budiyanti, Tri; Fatria, Dewi; Noflindawati, nFN
Informatika Pertanian Vol 26, No 2 (2017): Jurnal Informatika Pertanian
Publisher : Sekretariat Badan Penelitian dan Pengembangan Pertanian

Problems in the assembly of hybrid papaya for improving fruit size is limited information of proper parents, a good hybrid combination and limited other genetic information. The aim of the research is to analyse general combining ability (GCA), specific combining ability (SCA) and the analysis of genetic characteristics related to the character of the size of the fruit on the five parents papaya using Griffing methods I and II approach. The study was conducted from January 2010 to December 2013. The full diallel population and half diallel population genetic material using five parenst of papaya. Papaya parents used were Merah Delima (BT-1), BT-2, Carmina, Carmida (BT-4) and Dampit. Research was arranged in a randomized block design with three replications. The results showed that there was a significant reciprocal effect on Griffing model method 1 causing different values of SCA in the same combination of crosses. There were no differences in GCA estimation values using Griffing Methods I and II. Parent Dampit has the highest positive GCA predictive value, while the BT-2 and BT-3 have negative GCA estimation values for all fruit size characters. Based on the SCA estimation using Griffing Method I, the crossed pair has the highest SCA guess value of BT-4xD and BT-1X D. When using the griffing method II, the crossed pairs of BT-3 x BT-4 and D x BT-4 have the largest SCA estimated value for fruit size. Based on the griffing method I and II, it is known that more fruit size characters are controlled by the additive gene, so improving the fruit character can be through the selection.

SISTEM PAKAR IDENTIFIKASI GANGGUAN ORGANISME PENGGANGGU TANAMAN DAN DEFISIENSI HARA TANAMAN HIAS KRISAN Pramurjadi, Andy; Arsanti, Idha W; Gartina, Dhani; Budiarto, Kurniawan
Informatika Pertanian Vol 26, No 2 (2017): Jurnal Informatika Pertanian
Publisher : Sekretariat Badan Penelitian dan Pengembangan Pertanian

Pests and nutrient are important growth environment that influence the quality of chrisanthemum flowers.Â Physical damages and poor plant growth qualities reduce the quantity and quality of the flower product.Â The variety of pests and physiological disturbance of plants due to nutrient deficiency requires an accurate identification device. Such device is needed determine the main cause of abnormalitiessymptom in plant, so that it can be acurately and rapidly managed. Expert systems that provide knowledge-based interactive information for pest identification and nutrient deficiency are alternative tools that can diagnose such physical symptoms.Â Â The result ofÂ evaluation showed that the system gives certain level potential acuracy..Â Element that needÂ attention to improve the exepert system is the completeness of visualÂ test materials, i.e.,plant image that represent the pest attacks and nutritional deficiencies symptoms.

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

APLIKASI BIOINFORMATIKA PADA STUDI GENETIK JAGUNG PROVITAMIN A Andayani, Nining Nurini; Aqil, Muhammad; Pabendon, M. B.
Informatika Pertanian Vol 26, No 2 (2017): Jurnal Informatika Pertanian
Publisher : Sekretariat Badan Penelitian dan Pengembangan Pertanian

One type of functional maize that is currently studied and developed at Indonesian Cereals Research Institute is rich beta carotene maize (Pro vitamin A maize). This study aims to study the bioinformatics aspect of beta carotene maize as a basis in the determination of appropriate crossing combinations in generating pro vitamin A maize. Genetic studies used 15 high vitamin A maize inbreeds originating from within and outside the country (Cimmyt Mexico introduction). The study was conducted from April to July 2015 at the Molecular Biology Laboratory of Indonesian Cereals Research Institute. Preparation and DNA scoring were performed by using NTSYS-pc 2.1 version for generating dendogram/ data clustering. The results showed that the genetic diversity analysis based on UPGMA against genetic similarity matrix in the form of a dendogram of genetic similarity coefficient values obtained ranged from 0.36 to 0.91. The result of genetic diversity clustering of 15 inbreeds of Pro vitamin A maize in genetic similarity of 0.44 is divided into four groups: groups I, II, III and IV. Dendrogram shows groups I and II at the GD level of 0.44. Group III is at the level of GD 0.45 and divided into two sub groups namely A1 and A2. Group IV is at GD 0.503 level divided into four sub groups namely B1, B2, B3 and B4. The genetic clustering of inbreds tested indicated that the variability of the material characterized was relatively high and enables inbreds recombination in developing new varieties.

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

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

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.

PENGGANDAAN SKALA PRODUKSI BIOETANOL DARI TONGKOL JAGUNG Arif, Abdullah bin; Diyono, Wahyu; Hayuningtyas, Maulida; Syaefullah, Enrico; Budiyanto, Agus; Richana, Nur
Informatika Pertanian Vol 26, No 2 (2017): Jurnal Informatika Pertanian
Publisher : Sekretariat Badan Penelitian dan Pengembangan Pertanian

The effort to search for alternative energy materials that do not compete with food and feed is necessary and urgent. Lignocellulosic biomass is one potential source of renewable energy. Scalinge up methodproduction of bioenergy production from laboratory scale to industrial scale needs to be studied and developed. The aim of this study is to find get scalinge up method o0f the bioethanolÂ production from corn cobs. An Eexperiments on scalinge up of bioethanol production from laboratory scale to industrial scale was is done by the Pg / V constant method (stirring power per volume). Scale up calculations based on data from fermented liquid rheological characteristics and specifications fermenters are used. The results showed that the calculation of basic scale up bioethanol production capacity bioreactor of 200 l, obtained working volume of 65% or 130 l, high of liquid fermentationÂ 0.840 m, diameter tank bioreactor 0.441 m, diameter of a stirrer of turbine type of flat 0.187 m and the speed of agitation at 66.34 rpm. Based onÂ the calculation of basic scale up bioethanol production capacity bioreactor of 10,000 l, obtained working volume of 65% amounting to 6,500 l, high of liquid fermentationÂ 2.87 m, diameter tank bioreactor 1.49 m, diameter of a stirrer of turbine type of flat 0.63 m and the speed of agitation at 29.52 rpm.

Page 1 of 1 | Total Record : 8

Filter by Year

2017 2017

Filter By Issues

All Issue Vol 30, No 2 (2021): Desember 2021 Vol 30, No 1 (2021): Juni 2021 Vol 29, No 2 (2020): DESEMBER Vol 29, No 1 (2020): Juni Vol 28, No 2 (2019): DESEMBER 2019 Vol 28, No 1 (2019): Juni 2019 Vol 27, No 2 (2018): Desember 2018 Vol 27, No 1 (2018): Juni 2018 Vol 27, No 1 (2018): Juni 2018 Vol 26, No 2 (2017): Jurnal Informatika Pertanian Vol 26, No 2 (2017): Jurnal Informatika Pertanian Vol 26, No 1 (2017): Jurnal Informatika Pertanian Vol 26, No 1 (2017): Jurnal Informatika Pertanian Vol 25, No 2 (2016): Desember 2016 Vol 25, No 1 (2016): JUNI 2016 Vol 25, No 1 (2016): JUNI 2016 Vol 24, No 2 (2015): Desember 2015 Vol 24, No 2 (2015): Desember 2015 Vol 24, No 1 (2015): Juni 2015 Vol 24, No 1 (2015): Juni 2015 Vol 23, No 2 (2014): Desember 2014 Vol 23, No 2 (2014): Desember 2014 Vol 23, No 1 (2014): JULI, 2014 Vol 23, No 1 (2014): JULI, 2014 Vol 22, No 2 (2013): DESEMBER, 2013 Vol 22, No 2 (2013): DESEMBER, 2013 Vol 22, No 1 (2013): JULI, 2013 Vol 22, No 1 (2013): JULI, 2013 Vol 21, No 2 (2012): Desember 2012 Vol 21, No 2 (2012): Desember 2012 Vol 21, No 1 (2012): JULI, 2012 Vol 21, No 1 (2012): JULI, 2012 More Issue

Home Page

OAI Link

Editorial Team

Contact

Reviewer

Google Scholar

Contact Name
Mohamad Maulana

Contact Email
maulana@litbang.pertanian.go.id

Phone
-

Journal Mail Official
red-ip@litbang.pertanian.go.id

Editorial Address
-

Location
,

INDONESIA

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Home Page

OAI Link

Editorial Team

Contact

Reviewer

Google Scholar

Contact Name Mohamad Maulana

Contact Email maulana@litbang.pertanian.go.id

Phone -

Journal Mail Official red-ip@litbang.pertanian.go.id

Editorial Address -

Location , INDONESIA

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Contact Name
Mohamad Maulana

Contact Email
maulana@litbang.pertanian.go.id

Phone
-

Journal Mail Official
red-ip@litbang.pertanian.go.id

Editorial Address
-

Location
,

INDONESIA