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All Journal Animal Production : Indonesian Journal of Animal Production JISIP: Jurnal Ilmu Sosial dan Pendidikan
Karnaen Karnaen, Karnaen
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Agriculture, Biological Sciences & Forestry Arts Humanities Biochemistry, Genetics & Molecular Biology Education Environmental Science Law, Crime, Criminology & Criminal Justice Social Sciences Veterinary

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Correlation of Breeding Values Among Test Day Record at First, Second, and Third Lactations on Milk Production of Dairy Cattle Karnaen, Karnaen; Arifin, J
ANIMAL PRODUCTION Vol 11, No 2 (2009): May
Publisher : Universitas Jenderal Soedirman, Faculty of Animal Science, Purwokerto-Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (270.254 KB)

Abstract

The research was conducted at Balai Besar Pembibitan Ternak Unggul Sapi Perah (BBPTU-SP) Baturraden, Purwokerto, Central Java. The aims of this research were to study: (1) Breeding Value among test day record at first, second and third lactations on milk productions of dairy cattle, (2) Correlation of breeding values among test day record at first, second, and third lactations on milk production of dairy cattle. There were 4964 records of milk productions for 9 years since 1997 to 2006 dividing on  2299, 1668, and 997 records at first, second and third lactations, respectively. The observed individuals recorded from 45 bulls and 640 known cows. Fixed Effects were analyzed using General Linier Model. Variance components were predicted using Restricted Maximum Likelihood (REML). Breeding value was predicted with Best Linier Unbiased Prediction (BLUP). Heritability was 0.198 at first lactation, 0,270 at second lactation, 0.006 at third lactation, and 0,115 at 1st, 2nd, and 3rd lactations. Breeding Value (BV) between 2.57 and -1,68 at whole lactation. Bull has a highest breeding value on 58-18-N number of whole lactation. Three cows have highest breeding values on number of 914 - 98 (BV = 2,57), 817 - 97 (BV = 1,93), and 882 - 97 (BV = 1,67). Based on Spearman correlation, second lactation was appropriate for selection, because had the highest correlation with whole lactation at 0,67 for whole animal and 0,71 for bull. (Animal Production 11(2): 135-142 (2009) Key Words: dairy cattle, breeding value, milk production, test day, lactation
Utilization of the Artificial Intelligence-Based Teachy Application to Improve the Efficiency of Junior High School Teachers' Administrative Tasks Karnaen, Karnaen; Iqbal, Muh.; Asra, Muhammad
JISIP: Jurnal Ilmu Sosial dan Pendidikan Vol 10, No 2 (2026): JISIP (Jurnal Ilmu Sosial dan Pendidikan) (Maret)
Publisher : Lembaga Penelitian dan Pendidikan (LPP) Mandala

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58258/jisip.v10i2.10168

Abstract

This study aims to analyze the increase in the efficiency of teachers' administrative tasks before and after using the artificial intelligence (AI)-based Teachy application at SMP Negeri 1 Poli-Polia. The main problem underlying this study is the high burden of teachers' administrative learning, which results in limited time for developing innovative and student-centered learning. This study uses a quantitative approach with a quasi-experimental design through a one-group pretest–posttest model. The research subjects involved all 18 teachers at SMP Negeri 1 Poli-Polia, with a sampling technique using total sampling. Data were collected through a questionnaire on the efficiency of teachers' administrative tasks and learning device documentation, then analyzed using the N-gain test, paired t-test, and Wilcoxon test. The results showed that there was an increase in the efficiency of teachers' administrative tasks in the moderate category after using the Teachy application. In addition, there was a significant difference between the efficiency of teachers' administrative tasks before and after using the Teachy application, and the use of the Teachy application was proven to have a significant effect on the efficiency of teachers' administrative tasks. These findings indicate that the use of the AI-based Teachy application can be an effective solution in reducing the administrative burden on teachers and supporting improvements in the quality of learning management in junior high schools.
Co-Authors Asra, Muhammad J Arifin Muh. Iqbal