Informatika Pertanian
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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163 Documents
<![CDATA[APLIKASI PENDEKATAN LAND RENT DALAM MENGANALISIS ALIH FUNGSI LAHAN SAWAH MENJADI KEBUN KELAPA SAWIT ]]>
<![CDATA[Fahri, Anis]]>
<![CDATA[ Informatika Pertanian Vol 25, No 1 (2016): JUNI 2016 ]]>
Publisher : <![CDATA[Sekretariat Badan Penelitian dan Pengembangan Pertanian ]]>
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DOI: 10.21082/ip.v25n1.2016.p9-20
<![CDATA[Land rent of paddy field is lower than oil palm and it encourages farmers to convert wetland to oil palm plantations.This study aimed to determine the impact of land use on the welfare of rice farmers. The experiment was conducted in Kampar district from April to December 2013. Data were collected through a field survey of 30 rice farmers and 30 farmers who converted wetland to oil palm plantations. Land rent value of paddy rice farming management was then compared with the land rent of oil palm plantations. The alignment of the calculation of land rent value of both commodities was carried out by PVNR value approach to timing analysis for 25 years (according to the economic lives of oil palm plantations) and a discount rate of 10%. The economic analysis showed that the average rice farming land rent value was Rp.9.834.727/hectare/year. The average land rent value of oil palm was Rp 16.255.090/hectare/year. PVNR - land rent value of the rice farming was Rp. 89.200.977 / hectare, while the value of farm land rent - PVNR of oil palm was Rp. 111.388.769/hectare . PVNR - land rent of oil palm was higher by 25 % than that of paddy. The result indicated that the ratio of land rent oil palm was 1.25 times higher than wetland. The welfare of rice farmers was lower with the value of NTPRP 0,57 than oil palm farmers with the value of NTPRP 0,70.]]>
<![CDATA[ANALISIS EFISIENSI USAHATANI JAGUNG PADA LAHAN KERING MELALUI PENERAPAN PENGELOLAAN TANAMAN TERPADU (PTT) DI PROVINSI JAWA BARAT ]]>
<![CDATA[Silitonga, Parlindungan Y]]>;
<![CDATA[Hartoyo, Sri]]>;
<![CDATA[Sinaga, Bonar M]]>;
<![CDATA[Rusastra, I Wayan]]>
<![CDATA[ Informatika Pertanian Vol 25, No 2 (2016): Desember 2016 ]]>
Publisher : <![CDATA[Sekretariat Badan Penelitian dan Pengembangan Pertanian ]]>
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DOI: 10.21082/ip.v25n2.2016.p199-214
<![CDATA[Implementation of Integrated Crop Management (ICM) on maize farming in dry land is expected to increase the production and efficiency. This study aimed to: 1) analyze technical, allocative, and economic efficiencies of dry land maize farming under ICM and non-ICM implementation program, 2) identify factors that influence the technical inefficiency of maize farming under ICM and non-ICM implementation program. The study was conducted in maize production center in West Java province at Sukabumi and Garut regencies. Stratified random sampling method was used to survey 300 households in 2015. The data were analyzed using the Cobb-Douglas stochastic frontier production function; while allocative and economic efficiencies were analyzed using the input side approach with frontier dual cost function. The results showed that the productivity of ICM maize farming was 18% higher than the non-ICM. The level of technical, allocative and economic efficiencies of ICM maize farming were 88%, 22%, and 20% respectively, while the level of technical, allocative and economic efficiencies of non-ICM maize farming were 78%, 18%, and 14%, respectively. The level of technical, allocative and economic efficiencies increased by 11% to 30% higher in ICM than the non-ICM. Factors causing technical inefficiency were frequency of extension, educational level, and distance of farmland from farmers residence.]]>
<![CDATA[RANCANG BANGUN PROGRAM APLIKASI SISTEM PAKAR UNTUK DIAGNOSIS HAMA UTAMA KEDELAIUNTUK DIAGNOSIS HAMA UTAMA KEDELAI ]]>
<![CDATA[Roja, Atman]]>
<![CDATA[ Informatika Pertanian Vol 21, No 1 (2012): JULI, 2012 ]]>
Publisher : <![CDATA[Sekretariat Badan Penelitian dan Pengembangan Pertanian ]]>
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DOI: 10.21082/ip.v21n1.2012.p11-26
<![CDATA[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 far mers a nd ext ension workers a re 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 Hatmalaiâ€.]]>
<![CDATA[ANALISIS PARAMETRIK DAN NON PARAMETRIK PENGARUH KONSENTRASI SUKROSA DAN AMONIUM SULFAT TERHADAP MUTU NATA DE MELON ]]>
<![CDATA[Amiarsi, Dwi]]>
<![CDATA[ Informatika Pertanian Vol 24, No 1 (2015): Juni 2015 ]]>
Publisher : <![CDATA[Sekretariat Badan Penelitian dan Pengembangan Pertanian ]]>
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DOI: 10.21082/ip.v24n1.2015.p101-108
<![CDATA[In an effort to reduce yield losses of melon especially during period of storage, distribution, and marketing, an effective treatment is needed. A common technique is to process melon into nata de melon. The aim of the research was to determine the physical and chemical quality of nata de melon during storage. The experiment was conducted in the Laboratory of the Indonesian Center for Agricultural Post Harvest Research and Development from July 2010 until February 2011. The design used was a completely randomized (CRD) factorial design, with two factors i.e. sucrose (6%; 8%; and 10%) and ammonium sulfate (0%, 0.4%, 0.6%, and 0.8%) with two replications. The data was analyzed using parametric and non-parametric analyses. The results showed that 8% sucrose treatment was more effective in increasing yield, thickness, fiber content, firmness and flavor than other sucrose concentrations in nata de melon production. Additional treatment of ammonium sulfate 0.8% was more effective in increasing yield, thickness, fiber content, and elasticity compared to other concentrations of ammonium sulfate in nata de melon production. In general, a treatment combination of 8% sucrose and 0.6% ammonium sulfate can produce nata de melon better. Processing into nata de melon may prolong shelf life and increase the added value of melon.]]>
<![CDATA[PENDEKATAN SIMULASI UNTUK MENENTUKAN FREKUENSI AMATAN DALAM PENDUGAAN PRODUKTIVITAS CABAI ]]>
<![CDATA[Wijayanto, Hari]]>
<![CDATA[ Informatika Pertanian Vol 23, No 2 (2014): Desember 2014 ]]>
Publisher : <![CDATA[Sekretariat Badan Penelitian dan Pengembangan Pertanian ]]>
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DOI: 10.21082/ip.v23n2.2014.p205-210
<![CDATA[Horticulture is one of the important commodities in the agricultural sector. Methods of horticulture data collection is continuously developed to meet the needs of planning, one of which is a method of counting clump (RC) to estimate the productivity of horticultural commodities. However, the method of the RC is still encountering difficulties in its application, one of the difficulties is in the observation of crops with multiple harverst, such as chili. Simulation was conducted through generating productivity data using 5 models on group productivity data using 5 models on group productivity of plot samples with the same general characteristics. Through the simulation approach, the results of this study indicate that the observations of only partial harvest (twice) can estimate well total observation of harvest, provided the harvest frequency is known.]]>
<![CDATA[ANALISIS KEBIJAKAN PENGEMBANGAN INDUSTRI HILIR KAKAO (SUATU PENDEKATAN SISTEM DINAMIS) ]]>
<![CDATA[Hasibuan, Abdul Muis]]>;
<![CDATA[Nurmalina, Rita]]>;
<![CDATA[Wahyudi, Agus]]>
<![CDATA[ Informatika Pertanian Vol 21, No 2 (2012): Desember 2012 ]]>
Publisher : <![CDATA[Sekretariat Badan Penelitian dan Pengembangan Pertanian ]]>
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DOI: 10.21082/ip.v21n2.2012.p59-70
<![CDATA[INDONESIAPengembangan industri hilir seharusnya dapat menjadi motor penggerak sistem agribisnis kakao yang lebih berdaya saing baik nasional maupun internasional, namun produksi kakao olahan Indonesia masih sangat rendah dan industri pengolahan kakao tidak berkembang. Penelitian ini bertujuan untuk merumuskan alternatif kebijakan yang dapat diterapkan oleh pemerintah untuk pengembangan industri hilir kakao dan peningkatan penerimaan petani. Data yang digunakan dalam penelitian ini adalah data sekunder dan dianalisis dengan pendekatan sistem dinamis. Hasil validasi terhadap model sistem dinamis pada kondisi aktual diperoleh nilai RMSPE, AME dan AVE untuk produksi biji kakao sebesar 3,69 persen, 2,17 persen dan 4,44 persen dan untuk variabel produksi kakao olahan adalah sebesar 0,51 persen, 0,30 persen dan 0,59 persen sehingga model dinyatakan valid. Sedangkan hasil analisis menunjukkan skenario 6 mampu mendorong perkembangan sistem agroindustri kakao secara keseluruhan lebih baik dibandingkan dengan skenario lainnya. Untuk itu, alternatif kebijakan yang sebaiknya diterapkan oleh pemerintah dalam upaya pengembangan industri hilir kakao adalah: (i) tetap melaksanakan program Gernas kakao; (ii) peningkatan produktivitas dan mutu kakao perkebunan rakyat yang tidak terlibat dalam program Gernas kakao; (iii) penghapusan bea ekspor kakao, namun pemerintah memberikan insentif fiskal dan moneter seperti pengurangan pajak dan subsidi suku bunga pinjaman serta perbaikan iklim usaha seperti perbaikan infrastruktur, kemudahan perizinan dan lain-lain sehingga mampu mendorong pertumbuhan industri pengolahan kakao.INGGRIS]]>
<![CDATA[Analisis Intervensi Teknologi Umur Bibit, Jajar Legowo, dan Pemupukan Urea Terhadap Produksi Padi ]]>
<![CDATA[Hariyanto, Wahyudi]]>
<![CDATA[ Informatika Pertanian Vol 24, No 1 (2015): Juni 2015 ]]>
Publisher : <![CDATA[Sekretariat Badan Penelitian dan Pengembangan Pertanian ]]>
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DOI: 10.21082/ip.v24n1.2015.p9-16
<![CDATA[Technology of ICM (Integrated Crop Management) has been introduced to farmers since 2002, but farmers have not applied it until now.The problem is the slow dissemination process, and farmers are still low in implementing some components of ICM. Technology intervention is needed to increase production and productivity. This study aimed to analyze the relationship between seed maturity, jajar legowo and urea fertilizers on rice production. The experiment was conducted in Banyuasin October-December 2012. The method used was observation and FGD (Focus Group Discussion) against ICM field school in Banyumas. The study population totaled 300 farmers spread over the District ICM field school location. The sample was 70 farmers taken by using Slovin formula. Data were analyzed using path analysis. The results showed that the jajar legowo affected rice production by 12.2%, and the use of urea fertilizer by 26.3%. while seed maturity did not have significant effect. Combined together, both technologies affected rice production by 38.5%. It was suggested to implement ICM technology as recommended.]]>
<![CDATA[SISTEM PAKAR IDENTIFIKASI GANGGUAN ORGANISME PENGGANGGU TANAMAN DAN DEFISIENSI HARA TANAMAN HIAS KRISAN ]]>
<![CDATA[Pramurjadi, Andy]]>;
<![CDATA[Arsanti, Idha W]]>;
<![CDATA[Gartina, Dhani]]>;
<![CDATA[Budiarto, Kurniawan]]>
<![CDATA[ Informatika Pertanian Vol 26, No 2 (2017): Jurnal Informatika Pertanian ]]>
Publisher : <![CDATA[Sekretariat Badan Penelitian dan Pengembangan Pertanian ]]>
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DOI: 10.21082/ip.v26n2.2017.p67-90
<![CDATA[Pests and nutrient are important growth environment that influence the quality of chrisanthemum flowers. Physical damages and poor plant growth qualities reduce the quantity and quality of the flower product. 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.  The result of evaluation showed that the system gives certain level potential acuracy.. Element that need attention to improve the exepert system is the completeness of visual test materials, i.e.,plant image that represent the pest attacks and nutritional deficiencies symptoms.]]>
<![CDATA[FAKTOR-FAKTOR YANG MEMPENGARUHI ADOPSI INOVASI PERTANIAN PADA GAPOKTAN PUAP DAN NON PUAP DI KALIMANTAN BARAT (STUDI KASUS: KABUPATEN PONTIANAK DAN LANDAK) ]]>
<![CDATA[Burhansyah, Rusli]]>
<![CDATA[ Informatika Pertanian Vol 23, No 1 (2014): JULI, 2014 ]]>
Publisher : <![CDATA[Sekretariat Badan Penelitian dan Pengembangan Pertanian ]]>
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DOI: 10.21082/ip.v23n1.2014.p65-74
<![CDATA[Salah satu permasalahan pembangunan pertanian adalah rendahnya tingkat adopsi inovasi pada tingkat petani dan permodalan. Pada tahun 2008 Program Usaha Agribisnis Pedesaan (PUAP) dilaksanakan bertujuan untuk masalah pembiayaan pertanian. Tingkat dan faktor-faktor yang mempengaruhi adopsi inovasi pertanian penting dalam menentukan keberhasilan PUAP. Tujuan penelitian ini adalah untuk mengetahui tingkat dan faktor-faktor yang mempengaruhi adopsi inovasi pertanian pada Gapoktan PUAP dan non PUAP di Kalimantan Barat. Kegiatan ini dilaksanakan tahun 2012 berlokasi di Kabupaten Landak dan Kabupaten Pontianak. Penelitian menggunakan pendekatan survei dengan Model Logit. Penentuan responden dengan teknik Proportionate Stratified Random Sampling yang meliputi petani eks penerima dana PUAP dan petani non penerima dana PUAP. Jumlah petani 120 petani responden. Tingkat adopsi inovasi Gapoktan PUAP secara umum berada tingkat sedang, komponen teknologi yang diadopsi antara lain; benih unggul, pemupukan, penggunaan traktor, pengendalian hama dan penyakit, alat panen dan pasca panen. Faktor-faktor yang mempengaruhi adopsi antara lain; jarak pemukiman lokasi usahatani, dan jarak pemukiman ke sumber teknologi. tingkat pendidikan, luas lahan dan aksesibilitas ke jalan raya, dan aksesibilitas ke sumber teknologi. Gapoktan PUAP mampu menaikkan produktivitas usahatani padi dibandingkan Gapokatan non PUAP secara langsung meningkatkan pendapatan usahatani.]]>
<![CDATA[The Error Performances of Some Residual Optimization Methods ]]>
<![CDATA[-, Setyono -]]>
<![CDATA[ Informatika Pertanian Vol 24, No 2 (2015): Desember 2015 ]]>
Publisher : <![CDATA[Sekretariat Badan Penelitian dan Pengembangan Pertanian ]]>
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DOI: 10.21082/ip.v24n2.2015.p191-204
<![CDATA[A good statistic is unbiased and efficient. Because the encountered data in practice is a sample data with a certain size, the required statistic is not unbiased statistic, but statistic that has small error. When the encountered data is only a sample data, then that can be done is not error optimization but is residual optimization. This study aims to examine the error performance of three methods of residual optimization, they are by minimizing the maximum of absolute residual (MLAD), by minimizing the sum of absolute residual (LAD), and by minimizing the sum of squared residual (LS). Research results using simulation experiments showed that if the data have uniform distribution, the residual optimization method by minimizing maximum of absolute residual get the smallest error. Meanwhile, residual optimization method by minimizing the sum of squared residual get the smallest error when the data have normal or exponential distribution. This property is true when statistics to be estimated are measure of central tendency, regression coefficients, and the response of regression.]]>
