Statistical models for chili productivity

Wijayanto, Hari; Sumertajaya, I Made; Fitrianto, Anwar; Wahyuni, Sri

doi:10.12988/ams.2014.311616

Cited by 9 publications

(9 citation statements)

References 3 publications

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“…It means that variations in weather, planting and other factors can overwhelm seasonal output effects (Webb et al, 2012). Year around pattern of the productivity of chilli in Java reveals a sigmoid shape, meaning that supply of chilli fluctuates (Wijayanto et al, 2014).…”

Section: Figure 1 Global Share Of Top-five Chilli-producing Countriesmentioning

confidence: 99%

Impacts Seed Technology Improvement on Economic Aspects of Chilli Production in Central Java - Indonesia

Mariyono

2016

JEP

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Vegetable production, including that of chillies, plays an important role in agricultural sector and rural economic development worldwide. This is because of greater farm productivity with regard to vegetables than cereal and staple crops. This paper analyses the impact of seed technology development on the economic aspects of chilli production in Central Java. Particular attention is paid to improved varieties of chilli. Potential consequences of seed technology development are discussed. Data of this study are compiled from surveys conducted in three selected chilli producing regions in 2010-2012. The results show that the major varieties of chilli grown by surveyed farmers are grouped into three broad types: hybrids, local and improved open pollinated varieties. The chilli varieties farmers selected varied according to location and cropping season. In the dry season, farmers grew similar proportions of hybrid, local, and open pollinated types. Nevertheless, there were differences among the survey sites. Farmers grew different varieties to exploit seasonal microclimates and market preferences. Mostly, farmers selected varieties for economic motives. The consequence of growing hybrids was less use of agrochemicals, particularly pesticides, than for other varieties. Overall, they show the best economic performance in the study site. Development of seed technology should consider agro-ecological and economic aspects to obtain better outcomes. Private sector and national research institutions need to collaborate more to utilise available genetic resources to produce better varieties of chilli.

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Section: Figure 1 Global Share Of Top-five Chilli-producing Countriesmentioning

confidence: 99%

Impacts Seed Technology Improvement on Economic Aspects of Chilli Production in Central Java - Indonesia

Mariyono

2016

JEP

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“…Data dasar yang digunakan simulasi merupakan data hasil ujicoba penentuan produktivitas cabai yang dilakukan oleh Pusat Data dan Informasi Pertanian, Kementerian Pertanian Republik Indonesia tahun 2012 di Kabupaten Cianjur. Pola produksi cabai untuk data tersebut sudah diteliti (Wijayanto et al, 2014) dan menghasilkan enam pola fungsi produksi, namun dalam penelitian ini hanya diambil lima pola fungsi produksi yang akan digunakan sebagai dasar pembangkitan data simulasi karena satu pola produksi sangat berbeda spesifik pola fungsi produksinya.…”

Section: Pendahuluanunclassified

“…produktivitas dilakukan dengan membangkitkan data produktivitas petani berdasarkan model pola produksi yang sudah diteliti oleh Wijayanto et al (2014). Disamping model tersebut, parameter lain (seperti ragam produksi, proporsi dan jumlah waktu panen setiap kelompok pola produksi) yang digunakan dalam pembangkitan data produktivitas berasal dari data hasil pengamatan ujicoba metode RC di kabupaten Cianjur, propinsi Jawa Barat tahun 2012.…”

Section: Pendugaanunclassified

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Pendekatan Simulasi Untuk Menentukan Frekuensi Amatan Dalam Pendugaan Produktivitas Cabai

Wijayanto

2016

Informatika Pertanian

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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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“…For regression models, there are two common forms of mathematical models that can be constructed which are linear models and non linear models. Examples of non linear models cases are as follows; [1,5,9,10]. However, this paper deals with linear models which is constructed as follows:…”

Section: Constructing Linear Modelmentioning

confidence: 99%

Performance of variable selection methods in predicting language proficiency using language learning proficiency

Kiram¹,

Sulaiman²,

Swanto³

et al. 2015

ams

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The goal of this study was to compare two multiple regression models generated using two different variable selection methods in order to determine which variable method was more reliable in constructing a better model. Two hundred thirty pre-university students of UMS participated by answering a self-report questionnaire called the Strategy Inventory for Language Learning (SILL), a background questionnaire, and then sat for the Malaysian English University Test (MUET). Selected statistical tests were used to compare models.

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Statistical models for chili productivity

Cited by 9 publications

References 3 publications

Impacts Seed Technology Improvement on Economic Aspects of Chilli Production in Central Java - Indonesia

Impacts Seed Technology Improvement on Economic Aspects of Chilli Production in Central Java - Indonesia

Pendekatan Simulasi Untuk Menentukan Frekuensi Amatan Dalam Pendugaan Produktivitas Cabai

Performance of variable selection methods in predicting language proficiency using language learning proficiency

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