1,722 research outputs found

    Analisis Pelaksanaan Strategi Positioning pada Produk Toyota Avanza (Kasus Penjualan Toyota Avanza pada PT. Agung Automall Pekanbaru)

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    PT. Agung Automall Sutomo Pekanbaru branch is one of Toyota dealers in Pekanbaru is located at Jl. Sutomo 13 Pekanbaru. PT Agung Automall Sutomo Pekanbaru branch charged with marketing activities for the products produced. Marketing includes the companys business that starts with identifying consumers needs should be satisfied, determine the products to be manufactured, determine appropriate product prices, determine ways of promotion and distribution / sale of such products, and eventually the resulting product is up to the consumer.The data used are primary data and secondary data. Sub variables studied consisted of positioning against Attributes, benefits, competitors, price, usability. The analysis used is descriptive analysis. Sampling was conducted in stages with accidental sampling method with a total sample of 76 respondents.The Results of research and testing of consumer products hepotesis author of the Toyota Avanza in PT. Agung Automall Pekanbaru showed that five variables positioning above the most dominant factor in influencing consumers to buy products at PT Toyota Avanza. Agung Automall is based on the usability of the product. Respondents tend to be more familiar with the product Toyota Avanza due to the usability of the product is a versatile car, so positioning is done can be said to be successful, while the lowest dimension is positioning according to price, it means the product Toyota Avanza has a fairly high price compared with the price of other products are now increasingly cheap.Keywords: Positioning, Strategy, Implementatio

    Pemetaan Biplot untuk Masalah Putus Sekolah Pendidikan Dasar pada Masyarakat Miskin Antar Kecamatan di Kabupaten Ogan Ilir

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    Masalah pencapaian tuntas pendidikan dasar terutama pada kelompok masyarakat miskin pada setiap wilayah masih perlu menjadi perhatian dan penyelesaian. Demikian juga di Kabupaten Ogan Ilir (OI) yang masih memiliki proporsi kemiskinan cukup tinggi. Tujuan penelitian ini adalah mendapatkan pemetaan masalah pendidikan dasar antar kecamatan di Kabupaten OI, menggunakan teknik Analisis Biplot. Hasil analisis deskripsi menunjukkan bahwa angka putus sekolah pendidikan dasar kelompok masyarakat miskin di Kabupaten OI sebesar 14,2%, Rata-rata angka partisipasi murni (APM) SD baru mencapai 83,33% dan rata-rata APM SMP hanya mencapai 67,73%. Hasil pemetaan biplot menunjukkan bahwa kelompok Kecamatan Pemulutan Selatan, Rambang Kuang, Lubuk Keliat, dan Pemulutan Barat, memerlukan perhatian lebih, karena angka putus sekolah SMP dan persentase penduduk miskin yang masih relatif lebih banyak dibandingkan dengan kecamatan lainnya. Demikian juga Kecamatan Inderalaya dan Payaraman, masih memiliki angka putus sekolah SD yang masih tinggi, yang dipengaruhi oleh kemiskinan pada kelompok kecamatan tersebut

    An integrated model for the assessment of global water resources ? Part 2: Anthropogenic activities modules and assessments

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    International audienceTo assess global water resources from the perspective of subannual variation in water resources and water use, an integrated water resources model was developed. In a companion report, we presented the global meteorological forcing input used to drive the model and two natural hydrological cycle modules, namely, the land surface hydrology module and the river routing module. Here, we present the remaining four modules, which represent anthropogenic activities: a crop growth module, a reservoir operation module, an environmental flow requirement module, and an anthropogenic withdrawal module. In addition, we discuss the results of a global water resources assessment using the integrated model. The crop growth module is a relatively simple model based on heat unit theory and potential biomass and harvest index concepts. The performance of the crop growth module was examined extensively because agricultural water comprises approximately 70% of total water withdrawal in the world. The estimated crop calendar showed good agreement with earlier reports for wheat, maize, and rice in major countries of production. The estimated irrigation water withdrawal also showed fair agreement with country statistics, but tended to underestimate countries in the Asian monsoon region. In the reservoir operation module, 452 major reservoirs with more than 1 km³ each of storage capacity store and release water according to their own rules of operation. Operating rules were determined for each reservoir using an algorithm that used currently available global data such as reservoir storage capacity, intended purposes, simulated inflow, and water demand in the lower reaches. The environmental flow requirement module was newly developed based on case studies from around the world. The integrated model closes both energy and water balances on land surfaces. Global water resources were assessed on a subannual basis using a newly devised index that locates water-stressed regions that were undetected in earlier studies. These regions, which are indicated by a gap in the subannual distribution of water resources and water use, include the Sahel, the Asian monsoon region, and southern Africa. The integrated model is applicable to assess various global environmental projections such as climate change

    Downscaled Rainfall Prediction Model (DRPM) using a Unit Disaggregation Curve (UDC)

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    International audienceThis study was undertaken to identify the process for generating finer time scaled rainfall from higher time scaled data. The Downscaled Rainfall Prediction Model (DRPM) using the technique of unit disaggregation curve (UDC) was developed under the concept of coupling the stochastic autoregressive (AR) model with a wavelet filter and disaggregation model. Sequences of the number of rainy days and monthly rainfall were simulated from 52-year rainfall records at 4 stations in the northeastern part of Thailand. Compared with actual rainfall sequences, the 30 year generated sequences provided R-square values of 0.47-0.60. The model was applied to forecast the number of rainy days and monthly rainfall for the year of 2002. When compared with actual records the prediction model provided R-square values of 0.50 to 0.79
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