Demand Analysis of Indonesian Pulpwood Using Transcendental Logarithmic Model: a Study of the World and Selected Asian Markets

Indonesia\u27s pulpwood export has shown an increasing trend since 1990s. Along with Brazil, Canada, USA and Chile, Indonesia became one of the top five pulpwood exporter countries in the world. Indonesia\u27s pulpwood was traded mainly to some Asian countries. This paper examines Indonesian pulpwood export demand during the period 1994-2014 using a Transcendental Logarithmic (TL) model with Seemingly Unrelated Regression (SUR) estimation. Export data from the five top exporter countries in four different markets (China, Korea, Japan and the world) were analysed. The important findings are as follow: firstly, logarithmic income and second order logarithmic income significantly influence the Chinese and Korean markets. Secondly, in general, Indonesia\u27s own-prices are elastic and have negative signs (-2.308, -1.06 and -2.04 in the Korean, Japanese and the world markets, respectively). Thirdly, due to its positive sign of crossprice elasticity and also positive signs of income elasticity (1.002, 1.722 and 0.625 in the Chinese, Korean and the world markets, respectively), Indonesian pulpwood could be categorized as a substitute and normal goods. Lastly, regarding to negative and elastic Indonesia\u27s pulpwood own-prices, one possible policy that could be applied by the Government of Indonesia (GoI) is giving a subsidy to reduce pulpwood price by 10%. Subsidy could be implemented by reducing tax and retribution such as property tax (Pajak Bumi dan Bangunan) and local retribution (Retribusi Daerah). By doing so, it would give more benefit in the Korean market compared with other markets. Indonesia\u27s share of demand would increase from 0.28 to 0.31 with high rate of return (>2). On the world markets, Indonesia\u27s share of demand would increase from 0.08 to 0.1 with a return rate of 1.89. This study, therefore, suggests that a subsidy policy should be implemented for pulpwood industry in Indonesia

Pemberian Dolomit Dengan Pupuk Fosfat Terhadap Pertumbuhan Dan Produksi Tanaman Kacang Tanah (Arachis Hypogaea (L.))

This research was aimed to increase growth and yield of peanut through the provision of dolomite and phosphate fertilizer. This research was conducted at the experiment land of Agriculture Faculty University of Riau, Pekan baru from June 2014 to September 2014. This research used factorial completely randomized design (CRD) consisted of two factors and three replications. As for the treatment are: factor 1 is dolomite dose consist of three level 0,00 kg/m2,0,62 kg/m2 and 1,24 kg/m2. Factor 2 is phosphate fertilizer consist of three level 0,00 g/m2, 14,40 g/m2 and 28,80 g/m2. The results of this research showed that the combination of dolomite dose of 0,62 kg/m2 with phosphate fertilizer 28,80 g/m2 provide the best growth and yield of the plant height parameters, number of seeds/plant and dry weight of seeds/1,44 m2. The best results obtained 543,33 g/m2 (3,77 ton/ha) through combination of dolomite dose of 6,20ton/ha with phosphate dose of 0,20 ton/ha

Perancangan Purwarupa Pendeteksian Masker Menggunakan Mobilenetv2 dan Sensor Suhu GY-906 MLX-90614 Berbasis OpenCV

The background of this research problem is the handling of the Covid-19 virus by using masks and regular body temperature measurements for each user entering/exiting a building. So this research aims to monitor people in carrying out the principle of using a mask and detecting a person's temperature with a limit not exceeding the normal temperature of 37.5 selsius. Outside of this research is the design of a face mask detection system and can measure a person's body temperature using Python programming that contains OpenCV, MobileNetV2 and gy-906 MLX 90614 non contact temperature sensors. the results of this research can be concluded that face mask detection can be done in the range of 50cm to 1.5m while face detection can be detected up to 3m when conducting real time testing and has a success rate of detecting face masks 86.6% to 93.3% from 15 times the experiments that have been conducted