062 Determination of climatologically suitable places in the Midwest for feedlot cattle production by using the comprehensive climate index model

Arcobacter butzleri is a pathogenic bacterium that has been found in dairy cattle, pigs, poultry, and humans. As of this writing, there are no data on the incidence of A. butzleri in beef cattle. Given the differences in rearing practices used for feedlot cattle and those used for dairy cattle, differences in the incidences of this organism in various types of cattle may also exist. Numerous culture methods have been used to isolate A. butzleri, but there are few data on the comparative efficacies of these methods. The objectives of this study were to determine the incidence of A. butzleri in cattle from Texas and to compare the effectiveness levels of the Johnson-Murano (JM) method (consisting of enrichment in JM broth followed by plating on JM agar) and the Collins method (consisting of enrichment in EMJH-P80 broth followed by plating on Cephalothin, Vancomycin, and Amphotericin B [CVA] agar) in the isolation of this organism. Fifty cattle each from two feedlots, a dairy, and a stocker yard were sampled. Fecal swabs were obtained from cattle, and each sample was cultured by the JM method, the Collins method, and combinations of the two methods with the broth of one method being used with the agar of the other. Polymerase chain reaction was used to identify the isolates for confirmation of A. butzleri. Samples from 18 of 200 cattle tested positive for A. butzleri. This organism was detected by the JM method in 4.5% of the samples and by the Collins method in 2.5% of the samples. An incidence of 4.0% was found when JM broth was used with CVA agar, while no samples tested positive for A. butzleri when EMJH-P80 broth was used with JM agar.

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Development of School Reproductive Health Education Index Model (Indeks Pendidikan Kesehatan Reproduksi Sekolah / IPKPRS)

Jurnal Kesehatan Masyarakat ◽

10.15294/kemas.v16i1.25162 ◽

2020 ◽

Vol 16 (1) ◽

pp. 138-145

Author(s):

Dewi Sari Rochmayani ◽

Irwan Budiono

Keyword(s):

Health Education ◽

Reproductive Health ◽

Group Discussion ◽

Health Issues ◽

Four Dimensions ◽

Index Model ◽

Health Promotion In Schools ◽

Reproductive Health Education ◽

Important Health

One of the important health issues to be on the agenda of health promotion in schools is reproductive health. The results of the Basic Health Research (Riskesdas) in 2018 showed that nationally as many as 65.2% of the population had less knowledge about HIV/AIDS. This indicates that Indonesia is faced with the problem of low reproductive health literacy of school residents. The R&D design is used to develop the School Reproductive Health Education Index (IPKRS) instrument. R&D is carried out in 3 stages, namely: 1) determination of IPKRS dimensions and parameters by the focus group discussion (FGD) method; 2) Preparation, consultation and revision of the IPKRS model through experts judgment by the Delphy method; 3) Testing the validity of IPKRS by experts. The results shows that there are 4 dimensions of IPKRS, namely 1) the knowledge of school residents; 2) curriculum; 3) infrastructure; 4) institutional. The four dimensions are described in 13 IPKRS parameters. The validity test results shows all IPKRS parameters proved to be valid (Aiken’s coefficient V value for each item ≥ 0.92). The findings of the IPKRS model need to be followed up by implementing in schools within the framework of mapping the quality of school reproductive health education.

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Penentuan Indeks Seleksi untuk Galur Dihaploid Padi Sawah Tadah Hujan Berdaya Hasil Tinggi

Jurnal Agronomi Indonesia (Indonesian Journal of Agronomy) ◽

10.24831/jai.v47i2.25032 ◽

2019 ◽

Vol 47 (2) ◽

pp. 111-118

Author(s):

Miftahur Rizqi Akbar ◽

Bambang Sapta Purwoko ◽

Iswari Saraswati Dewi ◽

Willy Bayuardi Suwarno ◽

Dan Sugiyanta

Keyword(s):

Doubled Haploid ◽

Block Design ◽

Selection Index ◽

Culture Technique ◽

High Yield ◽

High Productivity ◽

Index Model ◽

Rainfed Rice ◽

Selection Of

Rainfed rice breeding for high yield is an alternative to increase national rice production. The breeding can beaccelerated using anther culture technique. The selection of high productivity lines may be more effective if it also involvesthe traits contributing to or affecting the yield traits. This study aimed at determining suitable characters as selection criteriaand obtain a selection index model for high yielding doubled haploid rainfed rice lines. The experiment was conductedin a greenhouse of ICABOGRAD, Bogor and Sawah Baru Experimental Station, Bogor Agricultural University using arandomized complete block design (RCBD) with three replications. Thirty doubled haploid lines derived from anther cultureand two check varieties namely Ciherang and Inpari 18 were used. The results showed that plant height (TT), number of filledgrain per panicle (GI), and productivity (PRD) could be used as suitable selection characters. The determination of selectionindex obtained a selection model which was Selection index = 0.48 PRD + 0.31 JGI - 0.31 TT. This model can be used toselect high yielding doubled haploid rainfed rice lines.

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An Optimal Stock Market Portfolio Proportion Model Using Genetic Algorithm

IJCCS (Indonesian Journal of Computing and Cybernetics Systems) ◽

10.22146/ijccs.36154 ◽

2018 ◽

Vol 12 (2) ◽

pp. 171 ◽

Cited By ~ 1

Author(s):

Wahyono Wahyono ◽

Chasandra Puspitasari ◽

Muhammad Dzulfikar Fauzi ◽

Kasliono Kasliono ◽

Wahyu Sri Mulyani ◽

...

Keyword(s):

Genetic Algorithm ◽

Investment Risk ◽

Index Model ◽

Single Index Model ◽

Portfolio Composition ◽

Market Portfolio ◽

Stock Portfolio ◽

Risk Investment ◽

Crossover And Mutation

To reduce the amount of loss due to investment risk, an investor or stockbroker usually forms an optimal stock portfolio. This technique is done to get the maximum return of investment on shares to be purchased. However, in forming a stock portfolio required a fairly complex calculations and certain skills. This work aims to provide an alternative solution in the problem of forming the optimal and efficient stock portfolio composition by designing a system that can help decision making of investors or stockbrokers in preparing stock portfolio in accordance with the policy and risk investment. In this work, determination of optimal stock portfolio composition is constructed by using Genetic Algorithm. The data used in this work are the 4 selected stocks listed on the LQ45 index in 2017. Meanwhile, the calculation of profit and loss rate utilizes a single index model theory. The efficiency of the algorithm has been examined against the population size and crossover and mutation probabilities. The experimental results show that the proposed algorithm can be used as one of solutions to select the optimal stock portfolio.

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Analysis of Suitable Farm Size for Fattening Pon Yang Kham Cattle

Modern Applied Science ◽

10.5539/mas.v13n7p107 ◽

2019 ◽

Vol 13 (7) ◽

pp. 107

Author(s):

Sitthinan Wiwatthanapornchai

Keyword(s):

Beef Cattle ◽

Feedlot Cattle ◽

Farm Size ◽

Primary Data ◽

Fixed Costs ◽

Cattle Production ◽

Net Return ◽

Business Organisation ◽

Economic Role ◽

Future Production

Pon Yang Kham Livestock Cooperative Limited (PYK Coop) is a local business organisation located in Sakon Nakhon province, Thailand. It has an essential economic role in assisting farmers and the community by creating a fair income distribution. However, PYK Coop has been facing problems from an oversupply of fattening cattle and the numbers involved in cattle production. This research investigated the costs and returns of production and the suitable farm size for beef cattle production to supply PYK Coop. The primary data were collected from 409 farmers in the cooperative using a questionnaire. The costs and returns of production were analysed and classified by the size of the farm to determine the most appropriate farm size for investment. The results revealed that the average number of cattle for individual farmers was 10.10 consisting of 3.50 bulls and cows, 2.64 calves and growing cattle, and 3.50 feedlot cattle. The cost of cattle production was divided into variable and fixed costs, which ranged annually between THB 17,279.13 and THB 300,185.88. The total annual income was THB 274,836.43. The annual net return of production (total revenue minus cost) was THB 25,984.81, while the annual net return of production per head of cattle was THB 25,984.81. The optimal farm size for beef cattle for the cooperative was a medium-sized farm. Overall, the results suggested that PYK Coop should encourage farmers to raise fattening cattle as a part-time occupation and aim to have no more than 10 head of cattle per farm. In doing so, PYK Coop should adjust the slaughter quota in accord with the number of beef cattle supplied by the farmers and should increase distribution channels to accommodate future production potential.

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Analysis of Optimal Portfolio Comparison on Shares of Sri Kehati by using Single Index Model and Random Model

International Journal of Science, Technology & Management ◽

10.46729/ijstm.v2i4.270 ◽

2021 ◽

Vol 2 (4) ◽

pp. 1273-1279

Author(s):

Rollis Ayu Ditasari ◽

Ade Ichsan Pradana

Keyword(s):

Data Analysis ◽

Empirical Evidence ◽

Random Model ◽

Whitney Test ◽

Single Index ◽

Index Model ◽

Single Index Model ◽

Analysis Technique ◽

Stock Portfolio

The purpose of this study is to provide empirical evidence that the determination of a stock portfolio using a single index model can provide optimal returns compared with the determination of stock portfolio using a random model. The sample in this research is 25 shares joined in SRI-KEHATI selected using purposive sampling. The data analysis technique used the average test for two independent samples (Mann Whitney Test (U Test)). The results showed that the determination of the stock portfolio using a single index model can provide optimal return compared to the determination of the stock portfolio using random model.

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Vulnerability of Miangas Island

JURNAL ILMIAH PLATAX ◽

10.35800/jip.7.1.2019.21546 ◽

2018 ◽

Vol 7 (1) ◽

pp. 56

Author(s):

Maartianus S. Baroleh ◽

Achmad Fahrudin ◽

Rokhmin Dahuri ◽

Setyo Budi Susilo ◽

Daniel Monintja

Keyword(s):

Dynamic Model ◽

Vulnerability Index ◽

Static Model ◽

Small Island ◽

Environmental Vulnerability ◽

Index Model ◽

Scaling Parameters ◽

Very High ◽

Environmental Vulnerability Index

There are several methods of analysis in knowing the vulnerability of a community. In the analysis to determine the vulnerability of Miangas island, the determinant vulnerability was used. Determinant vulnerability evaluation is very easy to use and simple. Therefore, the determinants of ordinary vulnerabilities use an assessment of resources that are carried out in full, so that results can be used as reference for management. One approach that is widely used in determining the index is the method of scaling parameters into certain values. These values are expressed as a score of a parameter. As done by (Tahir 2010) referred to in Doukakis (2005) and Rao et al. (2008), the Miangas Island analysis refers to the determination of the paramater scale and the weight of the vulnerability. The vulnerability index model constructed in this study consists of a static model of environmental vulnerability index and dynamic model of small island environmental vulnerability index. The static model of the environmental vulnerability index is intended to calculate the current vulnerability index (momentary), while the dynamic model of the environmental vulnerability index is used to predict the vulnerability dynamics in the future. In general, the values of IK-PPK = IE x IS / IAC = 4.29 x 2.35 / 1.6 = 6.30 By using these maximum and minimum values, the scale of assessment of the vulnerability of small islands is divided into 4 categories of vulnerability (Doukakis 2005), Miangas Island is obtained as follows; 0.20-6.04 = Low vulnerability, 6.05 -18.18 = Moderate vulnerability, 18.19-40.48 = High vulnerability (high), 40.49-76.00 = Very high vulnerability (very high). That there is a vulnerability with a moderate position.Keywords: vulnerability, index, determinant, MiangasABSTRAKAda beberapa metode analisis dalam mengetahui kerentanan suatu komunitas. Dalam analisis untuk mengetahui kerentanan pulau Miangas maka digunakan kerentanan determinan. Evaluasi kerentanan determinan sangat mudah digunakan dan sederhana. Oleh karna itu, determinan kerentanan biasa menggunakan assessment terhadap sumberdaya yang dilakukan secara utuh, sehingga hasil dapat dijadikan bahan acuan terhadap pengelolaan. Salah satu pendekatan yang banyak digunakan dalam penentuan indeks adalah metode penskalaan parameter ke dalam nilai-nilai tertentu. Nilai-nilai tersebut dinyatakan sebagai nilai skor dari suatu parameter. Sebagaimana yang dilakukan oleh (Tahir 2010) yang diacu dalam Doukakis (2005) dan Rao et al. (2008) maka pada analisis Pulau Miangas mengacu penentuan skala paramater dan bobot kerentanan tersebut.Model indeks kerentanan yang dikonstruksi dalam penelitian ini terdiri dari model statis indeks kerentanan lingkungan dan model dinamik indeks kerentanan lingkungan pulau-pulau kecil. Model statis indeks kerentanan lingkungan dimaksudkan untuk menghitung indeks kerentanan saat ini (sesaat), sedangkan model dinamik indeks kerentanan lingkungan digunakan untuk melakukan prediksi dinamika kerentanan pada masa yang akan datang. Secara umum didapatkan nilai IK-PPK = IE x IS/IAC = 4,29 x 2,35 /1,6 = 6,30. Dengan menggunakan nilai maksimum dan minimum tersebut, skala penilaian tingkat kerentanan pulau-pulau kecil dibagi menjadi 4 kategori kerentanan (Doukakis 2005) maka Pulau Miangas didapatkan sebagai berikut; 0.20-6.04 = Kerentanan rendah (low), 6.05-18.18 = Kerentanan sedang (moderate), 18.19-40.48 = Kerentanan tinggi (high), 40.49-76.00 = Kerentanan sangat tinggi (very high). bahwa ada kerentanan dengan posisi moderate.Kata kunci : kerentanan, determinan, indeks, Miangas

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