Warta Informatika Pertanian : Volume 16 No. 2, 2007

  • Penggunaan Analytical Hierarchi Process untuk Penyusunan Prioritas Proposal Penelitian

Wayan R. Susila, Lembaga Riset Perkebunan Indonesia - Bogor, & Ernawati Munadi, Dosen Universitas Wijaya Kusuma - Surabaya.

Decision makers are forced to make choice or prioritization amongst options, even in every second of their life.  Whenever the scope and consequences of choices/options are relatively complicated, they need a kind of decision making model that make their selection of the options to be comprehensive, logic, and structured.  Analytical Hierarchy Process (AHP) is considered as one of decision making models that can be applied to make prioritization amongst options. In this respects, this paper shows the application of AHP in making prioritization of research proposals. Basically, AHP consists of three main steps, namely, (i) problem decomposition, (ii) evaluation/appraisal to compare elements in the composition, and (iii) synthesis for priorization. Selection of research proposals in Trade Research and Development Agency, Ministry of Trade, was used as a case study. In this case study, five research proposals were selected using four criteria, namely effectiveness/impact, cost, time to complete the research, and urgency.

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  • Alternatif Model Pendugaan Stok Gabah/Beras di Rumah Tangga Petani
Mohammad Chafid, Statistisi pada Pusat Data dan Informasi Pertanian - Jakarta.

 Rice stocks data are very important for evaluating food security in certain area. However, this information usually is not available. Therefore, it needs to know this stocks information by conducting survey, not only at farmer’s household level but also at consumers, rice milling units, rice grocers, rice traders, hotels/restaurants, industries and BULOG, as the owners of rice stocks. These data will be used for developing rice stock prediction model in order to know the amount of rice stock in certain area.

Research result shows that farmer’s household stock model using multiple linear regression indicated that stock amount highly influenced by monthly production and the highest stock in the peak season. Farmer’s household stock will be decreased gradually after harvesting season. Usually, after one month of harvesting season, the stock amount is about 49-66% of total production. Then, after five months of harvesting season, it’s only about 11-34% of total production. Furthermore, coefficient of multiple regression must be positive because in harvesting season rice production will be increased and increasing the stocks. Case study using model prediction above show that total stocks estimations of farmer’s household at the end of August, 2006 in Solok district, West Sumatera is 25.339 tons rice. While in Tapin district, South Borneo and Demak district Central Java are 29.964 and 39.272 tons rice respectively.

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  • Penurunan Pajak Ekspor dan Dampaknya Terhadap Ekspor Minyak Kelapa Sawit Indonesia ke India (Pendekatan Error Correction Model)
Ernawati Munadi, Dosen Universitas Wijaya Kusuma - Surabaya.

 Indonesia is the second biggest palm oil producer on the world after Malaysia. In 2006, Indonesia contributed about 34% of total palm oil world production. On the other hand, Indonesia also the biggest palm oil consumer among developing countries. In the year 2006, Indonesia was consumed more than 5.5 million tons of palm oil which 76.75% out of the total was cooking oil. About 55% of production was exported as crude palm oil (CPO), especially to India and China. Debate on palm oil policy was stimulated by increasing in palm oil price significantly in1994-1995. This situation was causing act toward an export tax regulation on palm oil in order to ensure the availability of palm oil to fulfill national necessity.

By using annual data 1969-2006 period, an econometric approach of econometrics specially an error correction model was applied in this study. This paper examines the impact of export tax reduction on Indonesian export of palm oil to India. Results indicate that export quantity of Indonesian palm oil to India is influenced by the changes in ratio of soybean oil price and world palm oil price (PSO/WSO), goods production index (IPI), and export demand of Indonesian palm oil to India in previous year significantly, which elasticity 2,74, 2.69 and 0.69 respectively. However, the coefficient of ECM is almost zero which is explain that these variables were not affect to long term export demand.

Furthermore, simulation result shows that direct impact of export tax reduction is the increase in palm oil export quantity to India as well as from about 202.96 thousand tons to 237.57 thousand tons.

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  • Perancangan Jaringan Komputer : Memilih Topologi Jaringan dan Hard Ware (Studi Kasus)
Andi Supriyadi, Pranata Komputer pada Balai Penelitian Tanaman Sayuran - Lembang & Dhani Gartina, Sekretariat Badan - Jakarta. 

A Computer network is an interconnection of a group of computer. Computer network may be classified according to the network topology, such as Bus network, Star Network, Ring network, Mesh network, Hybrid network, etc. Needs identification is a crucial step before designing and developing a computer network. Based on the identification, then the suitable network topology can be determined as well as the hardware needed for that network. A case study in designing computer network conducted based on the result of identification in 2006 at Indonesian Center for Vegetables Research, Lembang (ICVR), West Java and Secretariat Jakarta. It is recommended that computer network at ICVR  and Secretariat should use Bus, Star, Hybrid and wireless topology. The difference between these two networks in ICVR and Secretariat is Demiliterized zone is applied at Secretariat.

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  • Analisis Isi Perbedaan Retensi Dalam Penentuan Nilai Guna Arsip Vital Substansi
Hardiyanto, Arsiparis pada Sekretariat Badan Litbang Pertanian - Jakarta. 

 Assessment of Archives is an activity to analyze information of archives through determination the usefulness and the duration of retention. The objective of this activity is to determine retention period by using content analysis technique on the difference period of archives retention schedule. This activity is the first step in archives decreasing processes in order to ensure the safety of a very important information for institution development.

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