Muhamad Gazali
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Using Artificial Insemination Technology in Goats Tambing, Surya Natal; Gazali, Muhamad; Purwantara, Bambang
Indonesian Bulletin of Animal and Veterinary Sciences Vol 11, No 1 (2001)
Publisher : Indonesian Animal Sciences Society

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (327.929 KB) | DOI: 10.14334/wartazoa.v11i1.756

Abstract

In general, local goat productivity in Indonesia is relatively still lower than that from the temperate area. Yearling body weight in local goat about 14-17 kg. However, the local goat have superiority, such as adaptability and a good reproductive performance, which have litter size 1,49-1,61. Increasing local goat productivity may be done by breeding program (cross breeding and selection) and the environmental improvement. Both cross breeding program and selection that involve mating regulation will be efficient by reproductive technology application, such as artificial insemination (AI). Application of AI in goats is limited by four main factors that influence simultaneously, viz. poor quality of frozen semen, the variety of female reproductive performance, improper technical and insemination time, and poor management. To overcome these constraints his obligatory to pay more attention, so that AI will be able to be used as one of tools to increase the population and genetic quality in goats.   Key words: Goat, reproductive efficiency, artificial insemination
Using Artificial Insemination Technology in Goats Surya Natal Tambing; Muhamad Gazali; Bambang Purwantara
WARTAZOA, Indonesian Bulletin of Animal and Veterinary Sciences Vol 11, No 1 (2001)
Publisher : Indonesian Center for Animal Research and Development

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (327.929 KB) | DOI: 10.14334/wartazoa.v11i1.756

Abstract

In general, local goat productivity in Indonesia is relatively still lower than that from the temperate area. Yearling body weight in local goat about 14-17 kg. However, the local goat have superiority, such as adaptability and a good reproductive performance, which have litter size 1,49-1,61. Increasing local goat productivity may be done by breeding program (cross breeding and selection) and the environmental improvement. Both cross breeding program and selection that involve mating regulation will be efficient by reproductive technology application, such as artificial insemination (AI). Application of AI in goats is limited by four main factors that influence simultaneously, viz. poor quality of frozen semen, the variety of female reproductive performance, improper technical and insemination time, and poor management. To overcome these constraints his obligatory to pay more attention, so that AI will be able to be used as one of tools to increase the population and genetic quality in goats.   Key words: Goat, reproductive efficiency, artificial insemination
Penerapan Model PBL dengan Pendekatan Culturally Responsive Teaching Untuk Meningkatkan Hasil Belajar Matematika Akmal, Regi Akmal Fauzan; Muhammad Ade Irawan; Muhamad Gazali; Zulfiana Hauli
Griya Journal of Mathematics Education and Application Vol. 4 No. 4 (2024): Desember 2024
Publisher : Pendidikan Matematika FKIP Universitas Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/griya.v4i4.483

Abstract

This study aims to improve students' mathematics learning outcomes by implementing the Problem Based Learning model with a Culturally Responsive Teaching approach. The subjects of the study were 32 eighth-grade students from SMP Negeri 1 Labuhan Haji, Lombok Timur. The research used a classroom action research (CAR) method conducted in two cycles. Each cycle consisted of planning, action, observation, and reflection stages. The results showed a significant improvement in learning outcomes from the pre-cycle to cycle I and cycle II. In the pre-cycle, only 15.63% of students achieved mastery, with an average score of 52.96. After the implementation of the Problem Based Learning model with a Culturally Responsive Teaching approach in cycle I, the mastery percentage increased to 59.38% with an average score 67,97, and in cycle II, it reached 87.50% with an average score of 85.10. Based on these results, it can be concluded that the implementation of the Problem Based Learning model with a Culturally Responsive Teaching approach is effective in improving students' mathematics learning outcomes.