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IMPLEMENTASI STRUCTURAL EQUATION MODEL (SEM) DALAM MENGANALISIS KINERJA KEMITRAAN ANTARA PENANGKAR BENIH DENGAN PETANI MITRA DI PROVINSI JAWA BARAT1
Takdir Mulyadi, M.2, Heny K Daryanto3, Bustanul Arifin3, dan Arif Imam Suroso3
Balai Besar Penelitian dan Pengembangan Bioteknologi dan Sumberdaya
1. Makalah merupakan bagian dari disertasi Program Doktor Manajemen dan Bisnis 2. Mahasiswa Program Doktor Manajemen dan Bisnis, Sekolah Pascasarjana IPB, Gedung MB, Jalan Raya Pajajaran, Bogor, 16151 3. Pengajar Program Doktor Manajemen dan Bisnis, Sekolah Pascasarjana IPB, Gedung MB, Jalan Raya Pajajaran, Bogor, 16151, Indonesia
With the rapid development of science, the relationship between variables are very complex and complicated which often experienced problems in their analysis. Structural Equation Model (SEM) is a statistical analysis method that is able to estimate the multiple relationship among variables, and patterns of relationship among the indicator of variables and measurement of error simultaneously. This paper aims to elaborate the implementation of the SEM to analyze the factors that affect the level of partnership in the agribusiness supply chain of potatoe seed. Sources of data were the results of a survey of 175 seed growers and farmers partners in Garut district of West Java Province, in 2013 . The model was designed to follow the stages of SEM and further data were processed by Lisrel 8.72 software. The results of SEM implementation showed its ability to: (i) identify the factors that affect the level of partnership by measuring the validity and reliability of the manifest variables (indicators) used as a measuring instrument, (ii) to test the hypotheses that was built in the model, (iii) be adapted to rearrange the appropriate partnership model in the future.
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PENGUKURAN KINERJA PENELITI BADAN LITBANG PERTANIAN DENGAN METODE DATA MINING DAN BALANCE SCORECARD
Abdul Aziz1 dan Taufik Djatna2
1.Sekretariat Badan Litbang Pertanian, Jl. Ragunan 29 Jakarta
2.Institut Pertanian Bogor, Jl. Raya Darmaga, Gedung Andi Hakim Nasoetion Kampus IPB Darmaga Bogor 16680 - Jawa Barat
Email : firstname.lastname@example.org
This paper discusses the performance appraisal method for research in The Indonesian Agency for Agricultural Research and Development which aims to get an overview of the performance of researchers. Researchers performance will be measured with balanced scorecard and data mining methods. Balanced Scorecard is used as a method to determine the attributes or parameters that may affect the performance of researchers. Data mining is used to process the data of the researchers. The selected attributes are gender, age,education, functional level researchers, score list, publications and research activities. Results from data processing showed that the publication attributes are the initial node with the value of the entropy of 0.000 which means that the attribute is very influential to researchers performance. It is then followed by attributes of activities with the 0.001 entropy value, awards with entropy value of 0.003 and the age with entropy value of 0.007. Those attributes are classified using a decision tree. Decesion tree is a predictive model using a hierarchical tree structure. Each branching (root) states the conditions that must be met and each end of the tree declare is the data class. In the root of publication it was found that class target is dominant which is enough, that is to say that researchers of the Indonesian Agency for Agricultural Research and Development mostly have good enough performance.
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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
Achmad Arivin Rivaie
Balai Pengkajian Teknologi Pertanian (BPTP) Maluku
Jl. Chr. Soplanit, Rumah Tiga, Ambon, Maluku
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.
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Budi Waryanto1), MA Chozin2), Dadang2), Eka Intan K2)
1) Pusat Data dan Sistem Informasi Pertanian, Jl. Harsono RM 3 Gd D lt 4 Jakarta 2) Institut Pertanian Bogor, Kampus IPB Darmaga Bogor 16880
Shallot is an important vegetable commodity for most Indonesian people. Shallots production is not yet able to supply the domestic consumption, and some is still met through imports. The challenge to produce shallots will be more complex, such as: the desire of consumers to high-quality products and environmentally friendly, as well as competition with similar products in the era of free trade. Based on these reasons, research has been done and the purpose of this study was to analyze the factors affecting shallots production, measuring the level of technical efficiency and economical efficiency. The study was conducted in Nganjuk District by taking 179 respondents from four sub districts. Interviews were conducted in October and November 2013, planting shallots April unti August 2013. Methods of analysis using the stochastic frontier production function to look at the effect of inputs on shallots production, followed by the analysis of technical efficiency (TE), allocative efficiency (AE) and economical efficiency (EE), and the final analysis of competitiveness using the Policy Analysis Matrix (PAM). The independent variable inputs consist of land (X1), seeds (X2), NPK fertilizer (X3), organic fertilizer (X4), labor (X5) and pesticides (X6). The analysis showed all independent variables significantly affected shallots production, where the value of the elasticity of the independent variable X2 is the highest, amounting to 0.2822. The analysis also obtained an average value of TE is equal to 0.808 means farmers are efficient, although there are farmers who are still not efficient. Although TE has been achieved, but is economically inefficient, because the average value of EE only 0.509. From PAM results it can be seen that farming shallots in this study has a competitive advantage but do not yet have a comparative advantage.
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Candradijaya A1), Kusmana C2), Syaukat Y2), Syaufina L2), Faqih A2).
1) Pusat Kerjasama Luar Negeri, Kementerian Pertanian, Jl. Harsono RM 3 Gd A lt 6 Jakarta 2) Institut Pertanian Bogor, Kampus IPB Darmaga Bogor 16880
e-mail: email@example.com atau firstname.lastname@example.org
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.
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Sasongko W Rusdianto dan Farida Sukmawati Mayang
Balai Pengkajian Teknologi Pertanian Nusa Tenggara Barat, Jl. Raya Peninjauan Narmada, Lombok Barat, NTB
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.
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ANALISIS RAGAM GABUNGAN LINTAS LOKASI PEMUPUKAN PADI SAWAH DI KABUPATEN GOWA SULAWESI SELATAN
Herniwati, Sahardi dan Fadjry Djufry
Balai Pengkajian Teknologi Pertanian Sulawesi Selatan
Jl. Perintis Kemerdekan Km 17,5 Makassar Sulawesi Selatan
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 + δik + Tj + ( LT ) ij + εijk 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).
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Evy Fachraini Winniasri1, Rita Nurmalina2, Setiadi Djohar3
1) Program Studi Manajemen dan Bisnis IPB
2) Program Pascasarjana Manajemen dan Bisnis IPB
3) Program Pascasarjana PPM Manajemen
E-mail : email@example.com
Level of Auditee Satisfaction is important for the Inspectorate General of the Ministry of Agriculture, in order to identify the weakness of each dimension in delivering internal controlling activity and to determine the performance of internal controlling system in the Ministry of Agriculture. The objectives of this study are to analyze auditee satisfaction of internal control held by Inspectorate, to determine factors influencing auditee satisfaction, and to formulate strategies in increasing auditee satisfaction. Service Quality model was used to measure the perception of vertical institution under the authority of the Ministry of Agriculture on services received from Inspectorate. There were five dimensions that were measured, i.e tangibility, reliability, assurance, responsiveness, and empathy. Data were collected from 193 respondents. The study used Structural Equation Modelling (SEM) and software LISREL for data processing. The result reflected that all variables were significantly correlated to each dimension of Service Quality instrument and significantly influenced auditee satisfaction. Satisfactions were measured through overall satisfaction, the function of internal control related with non audit activity and the quality of audit report. Tangibility was the most significant factor influencing auditee satisfaction.
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Rahmah Dewi Yustika1), Suria Darma Tarigan2), Yayat Hidayat2) dan Untung Sudadi2)
1)Balai Penelitian Tanah, Jl. Tentara Pelajar no.12 Cimanggu Bogor
2)Institut Pertanian Bogor, Kampus IPB Darmaga Bogor 16680
A watershed has complex hydrological components and may be difficult to understand comprehensively. Modelling can be used to simplify and predict the processes which will happen. SWAT (Soil and Water Assessment Tool) is a model which can predict hydrology and simulate various processes in watershed.The objective of this research was: to analyse performance of SWAT model which predict discharge flow in upper Ciliwung watershed through calibration. Methods applied included analysis of the input data and calibration. The research was conducted in the period of June 2011 until June 2012. Based on the data of daily discharge flow in February and March 2008 and 2009, the calibration results showed values of R 0,80 and NSE 0,55. These results described that SWAT model can be used to predict hydrological processes in upper Ciliwung watershed.Prediction of hydrology could be used as the base to manage land agriculture towards sustainable agriculture.
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Hari Wijayanto1), I Made Sumertajaya1), Sri Wahyuni2)
1)Dosen pada Departemen Statistika, Institut Pertanian Bogor
Jl. Meranti, Kampus IPB Darmaga Bogor
2)Dosen pada Perguruan Tinggi Swasta di Bandar Lampung
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.
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Balai Pengkajian Teknologi Pertanian Sulawesi Tengah Jl. Laosos, No. 62 Biromaru Sigi
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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