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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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BAYESIAN CLUSTERING OF INDONESIAN RICE GERMPLASM Utami, Dwinita W
Informatika Pertanian Vol 24, No 2 (2015): Desember 2015
Publisher : Sekretariat Badan Penelitian dan Pengembangan Pertanian

Model-based clustering where the inference on the parameters follow the Bayesian principle has been used to cluster 467 accessions of Indonesian rice germplasm which consist of released varieties, landraces, introduction lines, improved lines and wild species. A model-based Bayesian cluster analysis of genotype data can be used to evaluate the genetic backgrounds of rice populations of interest. Such analyses can be used to infer population structure, assign individuals to sub populations, and to study hybrid populations. Thus, the goal of this research was to examine the genotype data of numerous accession of rice germplasm using the model bayesian cluster analysis. The 1536 SNP-chip design was performed for genome scanning of the accession using the high throughput genotyping platform, the data of which were used for clustering. The result indicated that the germplasm can be clustered into five cluster based on similarities on genetic profile, i.e. similarities in gene frequencies across genome among individuals. Each cluster can be identified by reference lines, i.e. the lines or varieties that their genetic profile uniquely belong to one cluster and do not have or very rare introgression from lines or varieties of other clusters. Many introgressions have been identified among lines in all clusters which indicated that most of Indonesia rice germplasm, including local and introduced varieties were the results of crosses that occurred either in naturally fixation or breeding program activities that crossed one line/varieties to the others. There is also cluster in which no reference line and almost all lines/varieties in that cluster are known to have same common specific phenotype, e.g. aromatic.

ANALISIS GGE BIPLOT PADA HASIL KLON-KLON UBI KAYU MENGGUNAKAN METODE RESTRICTED MAXIMUM LIKELIHOOD Noerwijati, Kartika; Nasrullah, nFn; Taryono, nFn; Prajitno, Djoko
Informatika Pertanian Vol 25, No 1 (2016): JUNI 2016
Publisher : Sekretariat Badan Penelitian dan Pengembangan Pertanian

The study was conducted in five locations i.e Kediri, Ponorogo, Probolinggo, Malang, and Mojokerto, from November 2010 until August 2011. The planting materials used were 15 cassava clones. The research objective was to compare analysis methods of the genotype Ã— environment interaction, namely: a) GGE technique using REML without A matrix by assuming homogeneous residual error variance, b) GGE technique using REML with A matrix by assuming homogeneous residual error variance, c) GGE technique using REML without A matrix by assuming heterogeneous residual error variance, and d) GGE technique using REML with A matrix by assuming heterogeneous residual error variance. The results showed that GGE technique using REML without A matrix by assuming heterogeneous residual error variance was more appropriate. Clones CMM 03038-7 (G8) had a wide adaptability and high yield potential, and its clone was closest to the ideal criteria for genotype compared with other genotypes. Clones CMM 03094-4 (G10) had specific adaptability in the environments S2 (Malang) and S5 (Mojokerto), and it had higher yield potential than the control varieties UJ5, Malang 6, and Adira 4. Environment Kediri (S1) had the highest yield among other environments and Kediri was a suitable environment for the growth and selection of cassava.Â

PENENTUAN KEBUTUHAN NITROGEN TANAMAN JAGUNG (Zea mays L.) PADA BERBAGAI JARAK TANAM DALAM TUMPANGSARI DENGAN KACANG TANAH (Arachis hypogeae L.) DI LAHAN KERING MALUKU TENGAH Rivaie, Achmad Arivin
Informatika Pertanian Vol 23, No 2 (2014): Desember 2014
Publisher : Sekretariat Badan Penelitian dan Pengembangan Pertanian

Most people in Maluku Islands have long used non-rice food consumption, especially tuber crops and maize. The development of diversification of non-rice food consumption certainly needs to be supported by the availability of adaptive crop cultivation technology to climate change. Cropping pattern is one of the appropriate steps for smallholder farmer to increase land productivity. An experiment of maize/peanut intercropping pattern had been conducted to determine optimum Nitrogen (N) rate for maize at different planting spacings in intercropping pattern with peanut in dryland of Makariki Village, Central Maluku. The experiments were arranged in a Split Plot Design with 3 (three) replicates. The main plot was maize spacing, namely: (i) J1 = 80 x 25 cm, 6 rows of maize, 2 rows of peanut, (ii) J2 = 160 x 25 cm, 3 rows of maize, 4 rows of peanut, and (iii) J3 = 240 x 25 cm, 2 rows of maize, 6 rows of peanut. The sub-plot was N rate (kg/ha), namely: (i) N0 = 0-0-0, (ii) N1 = 45-50-60, (iii) N2 = 90-50-60, (iv) N3 = 135-50-60, and (v) N4 = 180-50-60. The results showed that plant height, cob circle and yield of maize grown at different planting spacings in intercropping patterns in Makariki, Central Maluku affected by N fertilizer application. The application of N fertilizer increased growth and yield of maize by following a quadratic pattern. The use of maize spacing of J1 (80 x 25 cm) in intercropping with peanut requires the addition of the optimum N rate of 302 kg urea/ha, which gave the highest maize yield (t/ha) compared with other planting spacings.

IMPLEMENTASI ALGORITME A-STAR UNTUK PEMETAAN KOORDINAT TUMBUHAN LANGKA BERBASIS WEB Fauzi, Ahmad; ,, Supriyadi; Yanitasari, Yessy
Informatika Pertanian Vol 27, No 2 (2018): Desember 2018
Publisher : Sekretariat Badan Penelitian dan Pengembangan Pertanian

The path finding optimization is the most widely discussed issues in the informatics scope. This was related to the increased needs of the transportation, distribution and industry. The method for solving search problems for the shortest path can be done using two methods, namely the conventional method and the heuristic method. The conventional method uses a mathematical approach that is easy to understand, but the search results require a relatively long time. In order for search time to be faster, a heuristic approach is needed, although it requires more parameters. A-star algorithm is a heuristic route search method that is very effective in finding the shortest route. In this study a web-based application was developed by integrating the A-star algorithm to find the location of rare plants in the conservation area. As for determining the distance between the coordinates of the plant using haversine formula. This application is very important because of the large number of plants and the limited guidance of researchers in finding the location of rare plants in conservation areas. The guide is presented in the form of an easy-to-understand graph accompanied by information about the plants sought.

PENERAPAN METODE REGRESI LOGISTIK DALAM MENGANALISIS ADOPSI TEKNOLOGI PERTANIAN Hendayana, Rachmat
Informatika Pertanian Vol 22, No 1 (2013): JULI, 2013
Publisher : Sekretariat Badan Penelitian dan Pengembangan Pertanian

Regresi Logistik (Logit) merupakan suatu metode analisis statistika yang mendeskripsikan hubungan antara peubah respon (dependent variable) yang bersifat kualitatif memiliki dua kategori atau lebih dengan satu atau lebih peubah penjelas (independent variable) berskala kategori atau interval. Tulisan ini bertujuan mengelaborasi penerapan Model Regresi Logistik dalam menganalisis adopsi teknologi pertanian, kasus adopsi VUB padi. Sumber data memanfaatkan hasil survey kepada 155 orang petani responden di lahan rawa lebak di Kabupaten HSU Kalimantan Selatan, tahun 2009. Model dirancang dengan memasukkan unsur adopsi sebagai peubah respon, dihubungkan dengan 13 unsur peubah penjelas. Dari aplikasi model dengan metoda penduga maximum likelihood menggunakan Minitab Versi 16, diperoleh gambaran: (1) Penerapan Regresi Logistik dengan nilai duga maksimum likelihood menggunakan Minitab dapat direkomendasikan untuk menganalisis adopsi teknologi pertanian pada kasus adopsi teknologi VUB padi. Hal itu didukung fakta hasil analisis yang ditunjukkan oleh signifikansi model yang tinggi, hasil uji parsial yang efektif, penafsiran hasil melalui Odd ratio, dan tampilan ukuran asosiasi antara peubah respon dengan peubah penjelas menunjukkan hubungan yang kuat dan sekaligus menunjukkan semakin baiknya daya prediksi model sebagaimana ditunjukkan oleh besarnya nilai Concordant serta kecilnya nilai Discordant dan Ties; (2) Faktor kunci untuk mendapatkan hasil duga Regresi Logistik yang baik, adalah besaran jumlah responden yang representatif dengan keragaman relatif tinggi. Oleh karena itu validasi data menjadi faktor penentu dan krusial dilakukan sebelum analisis data.

OPTIMALISASI PENGGUNAAN LAHAN DAS SUMANI DENGAN LINEAR PROGRAMMING Yanti, Delvi
Informatika Pertanian Vol 27, No 2 (2018): Desember 2018
Publisher : Sekretariat Badan Penelitian dan Pengembangan Pertanian

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21082/ip.v27n2.2018.p101-110

Penggunaan lahan yang berbasiskan DAS menuntut pengelolaan sumber daya alam yang ada di dalam DAS tersebut harus optimal. Pengoptimalan penggunaan lahan ini bertujuan untuk memaksimalkan atau meningkatkan fungsi sosial ekonomi dan fungsi konservasi DAS atau menurunkan besaran erosi dengan memperhitungkan kendala keterbatasan sumber daya, sehingga menghasilkan DAS yang memiliki nilai ekonomis tingggi namun kelestarian ekosistem DAS tetap terjaga. Optimalisasi penggunaan lahan dengan metode Linear Programming-Simplex menggunakan Ms. Excel. Fungsi tujuan yang dirumuskan adalah untuk mendapatkan kombinasi optimal dari beberapa penggunaan lahan dengan nilai erosi yang sekecil mungkin. Sementara fungsi kendala dirumuskan berdasarkan pada hambatan-hambatan yang membatasi dalam alokasi penggunaan lahan yang didasarkan pada asumsi yaitu erosi yang diperbolehkan, luas masing-masing penggunaan lahan, arah pemanfaatan lahan, dan produksi tanaman pangan. Berdasarkan hasil dan analisis optimalisasi penggunaan lahan dengan kendala dan asumsi, maka diperoleh erosi total minimum sebesar 2.229.022 ton/tahun dengan alokasi penggunaan lahan yang optimal adalah 9.505 ha (hutan lahan kering primer), 9.505 ha (hutan lahan kering sekunder), 12.142 ha (hutan tanaman industri), 1.392 ha (perkebunan campuran), 16.062 ha (sawah), dan 1.269 ha (semak dan belukar).

JIP Volume 25 No.1 Tahun 2016 pelaksana, redaksi
Informatika Pertanian Vol 25, No 1 (2016): JUNI 2016
Publisher : Sekretariat Badan Penelitian dan Pengembangan Pertanian

UJI KOMPARASI MODEL KORELASI DALAM MENGANALISIS EFEKTIVITAS PENDAMPINGAN PETANI Hombing, Yennita Sihombing; Hutahaean, Lintje
Informatika Pertanian Vol 28, No 1 (2019): Juni 2019
Publisher : Sekretariat Badan Penelitian dan Pengembangan Pertanian

In Order to apply the agriculture technology or innovation, the farmers requires assistance by researches or extension agent to provide the expected results. The application of agricultural technology or innovation in farmers requires assistance by researchers or extension workers to provide the expected results. This study has an objective to determine the effectiveness among three correlation models, namely: Pearson, Kendallâ€™s tau-b, and Spearman for analyzing the performance of assisting activities. The assessment was done based on the assisting data which collected in North of Bolaang Mongondow District, North Sulawesi Province. As the respondents, the primary data were obtained by questionnaires to 22 of the rice farmers who were randomly selected by PRA. The assisting data focused on the rice production aspect for both of pre-assisting and post-assisting cases. The effectiveness indicator among those correlation models has defined using the number of real analysis variables and the correlation coefficients. According to three models, they produced almost similar coefficient correlation for both of pre-assisting and post-assisting cases. Based on three models, a significant correlation variable which found was a correlation between the age and the experiences. For those significant variable, the differences among those models only appears in the degree of correlation. As a conclusion, the Pearson, Kendallâ€™s tau b, and Spearman correlation models can be used as an alternative methods for analyzing the performance of assisting activities.

SEED DETERIORATION PATTERN OF FOUR BAMBARA GROUNDNUT LANDRACES (Vigna subterraneasubterranean (L) Verdc) IN OPEN STORAGE SYSTEM Hamami, Happy Suryati; Qadir, Abdul; Ilyas, Satriyas; Budhianto, Bambang
Informatika Pertanian Vol 27, No 2 (2018): Desember 2018
Publisher : Sekretariat Badan Penelitian dan Pengembangan Pertanian

Bambara groundnut (Vigna subterranea (L.) Verdc) is a potential commodity to be developed in Indonesia, however, the production is done only once a year, therefore, it needs proper seed storage. The aim of this research was to study seed deterioration patterns of four bambara groundnut landraces stored in packages with different permeability in an open storage system for up to 6 months. This experiment was conducted from November 2015 to July 2016 at Seed Technology Laboratory, Department of Agronomy and Horticulture, IPB. Stages of experiment as follow: calculation of packaging permeability, seed storage, preparation and fitting data to regression equation.The packaging used in the study is aluminum foil, pp plastic and plastic sacks which have measured its permeability. The result showed that the seed deterioration of four bambara groundnut landraces in three packaging permeability has common sigmoidpattern with equation model: y = a / {1 + exp ((x + b) / c)}. The seed deterioration pattern based on SG and EC variables with the faster rate of decline occurred in Sumedang landrace packed in plastic sack (permeability = 1.4681 g/day m2 mm/Hg), thus having a shorter storability. The slower rate of decline occurred in Gresik landrace packed in aluminum foil (permeability = 0.098 g/day m2 mm/Hg), this means that it has a longer storability.

PENGUJIAN GA3 DAN RASIO TANAM TETUA TERHADAP PRODUKSI BENIH HIBRIDA HIPA 14 MELALUI RANCANGAN PETAK TERBAGI Widyastuti, Yuni; Satoto, nFN; Mulsanti, Indria Wahyu
Informatika Pertanian Vol 26, No 1 (2017): Jurnal Informatika Pertanian
Publisher : Sekretariat Badan Penelitian dan Pengembangan Pertanian

The three lines methods in hybrid rice have disadvantages in seed production procedures that result in low seed yield. Low levels of natural crosses (outcrossing) is one of the causes of low seed yield in hybrid seed production. GA3 application and proper spacing , expected to improve of F1 hybrid seed production. The experimental design used was Split Plot design with three replications. The main plot was doses of GA3 application consist of 0, 200 ppm and 300 ppm. The subplot was row ratios of restores:CMS i,e 2R:8A, 2R:12A; 2R:16A. The material used is parental lines of HIPA 14. The results showed that GA3 application was able to increased plant height of parental lines (CMS and restorer), number of productive tillers, exterted panicle and stigma also outcrossing rate at seed production of HIPA 14. The row ratio was influenced for plant heigh of CMS lines. Interaction between GA3 and row ratio was increased plant height of parental lines, exerted panicle, and outcrossing rate

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