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All Journal Jurnal Sain Veteriner Economics and Digital Business Review
Aris Junaidi
Fakultas Kedokteran Hewan Universitas Gadjah Mada
Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Veterinary

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USE OF A GnRH AGONIST TO DELAY THE OVULATION AND INJECTION OF hCG TO INDUCE OVULATION IN GOATS SUPERSTEMULATED WITH FSH Aris Junaidi; Scott Thomas Norman
Jurnal Sain Veteriner Vol 21, No 1 (2003): JULI
Publisher : Fakultas Kedokteran Hewan Universitas Gadjah Mada bekerjasama dengan PB PDHI

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1066.077 KB) | DOI: 10.22146/jsv.406

Abstract

Tujuan dari penelitian ini adalah untuk mengevaluasi pengaruh penundaan ovulasi pada kambing yang disuperstimulasi, dengan FSH pada respon ovarium. Sepuluh ekor lambing dewasa dari ras campuran digunakan dalam penelitian ini. Seluruh kambing betina diberi implan secara subcutan dengan agonis GnRH deslorelin selama 19 hari. Setiap kambing disuperstimulasi dengan 18 mg FSH yang diberikan secara berseri selang 12 jam selama 4 hari, dimulai pada hari ke 7 setelah implantasi deslorelin. Pada hari ke 9 setiap kambing diberi 5 mg dinoprost trometamine ((PGF2a, Lutalyse®). Induksi ovulasi dengan injeksi 500 I.U. hCG ( Chorulon ®, Intervet Australia) pada har ke 11 dan kambing dilepas dengan pejantan untuk menilai dan memonitor tingkah laku estrus. Ovarium dari seluruh kambing diperiksa dengan laparoskopi 7 hari sesudah pemberian hCG. Pada setiap kasus korpus luteum (CL) dihitung dan di ldasiftkasikan sebagai normal atau regresi. Hasil dari pemeriksaan laparoskopi menunjulckan bahwa CL. folikel yang tidak ovulasi dan CL albikan secara berurutan adalah sebagai berikut 2.5 ± 1.62, 18 ± 1.29 and 0.8 ± 0.62. Permulaan estrus dan durasi estrus setelah pemberian prostaglandin adalah 37.6 ± 3.48 dan 35.8 ± 3.87. Disimpulkan bahwa penundaan ovulasi menggunakan agonis GnRH dan induksi ovulasi menggunakan hCG pada kambing yang disuperstimulasi tidak menambah jumlah ovulasi seperti ditunjukkan dari jumlah total CL. Kata kunci: GnRH agonis, superovulasi, FSH, hCG
HISTOLOGY AND ELECTRONE MICROSCOPIC STUDY OF THE EFFECTS OF AN GnRH AGONIST ON THE CANINE TESTIS AND PROSTATE AFTER 3 MONTHS OF TREATMENT Aris Junaidi
Jurnal Sain Veteriner Vol 18, No 1&2 (2000)
Publisher : Fakultas Kedokteran Hewan Universitas Gadjah Mada bekerjasama dengan PB PDHI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/jsv.8116

Abstract

Using light and electrone microscopic techniques the structure of the testicle, epididymis and prostate gland of mature male dogs were studied 3 months after implantation with a slow release implant containing 6 mg GnRH agonist deslorelin. After 3 months of treatment, all tubules seminiferous showed atropic and aspermatogenic. Atrophy of the Leydig cells was observed in the interstitial tissue. The glandular epithelium of the prostate showed atrophy and was non secretory. At the electrone microscopic levels, Sertoli and Leydig cells showed a marked atrophy and their spermatogenic tubules were mostly lined with Sertoli cells at the basal lamina. The prostate gland showed atrophy of the nucleous and the epithelium was non secretory. The present data showed that a slow release implant containing GnRH agonist deslorelin can be used effectively to suppress fertility in male dogs.
Peran Artificial Intelligence dalam Optimalisasi Customer Relationship Management (CRM) dan Pemasaran Digital Alam, Wira Yudha; Junaidi, Aris; Irnanda, Zulfa Risma
Economics and Digital Business Review Vol. 5 No. 2 (2024): February - July
Publisher : STIE Amkop Makassar

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Abstract

This article discusses the role of Artificial Intelligence (AI) in optimizing Customer Relationship Management (CRM) and digital marketing. The integration of AI in CRM offers companies the ability to analyze customer data more effectively, improve service personalization, and automate customer interactions through chatbots, predictive analytics, and consumer behavior pattern recognition. AI also facilitates faster decision-making in digital marketing strategies, strengthens customer experience, and improves marketing efficiency. This study shows that the implementation of AI can increase customer loyalty and give companies a competitive advantage in an increasingly complex and dynamic marketing world.
Analisis Usaha Penggemukan Domba di Kelompok Ternak Sehati di Desa Sukorini, Kecamatan Manisrenggo, Kabupaten Klaten, Jawa Tengah Kaloka, Aldita Barooch Safira; Junaidi, Aris
Jurnal Sain Veteriner Vol 43, No 3 (2025): Desember
Publisher : Faculty of Veterinary Medicine, Universitas Gadjah Mada bekerjasama dengan PB PDHI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/jsv.111233

Abstract

Sheep is one of the sources of meat supply in Indonesia that is now increasingly in demand by the public, almost on par with the demand for goat meat. Therefore, efficient and profitable farming methods are needed. This study aims to analyze the sheep fattening business conducted by the Sehati Livestock Group in Sukorini Village, Manisrenggo District, Klaten Regency. The study lasted for three months using quality ewe lambs aged 8 months to 1 year with an initial weight of 15-25 kg. The methods applied included preconditioning to the fattening program in accordance with the Standard Operating Procedure (SOP), starting from arrival until the sheep were ready for sale. The main variables observed were body weight growth and income earned by the livestock group. The study was conducted on 44 sheep, with monthly body weight measurements and recording of all operational costs, including feed and medicine, to calculate the profit earned. The results showed that the average weight gain of sheep reached 6.42 ± 0.24 kg in three months. Thus, the Sehati Livestock Group earned a profit of Rp1,725,942 with an R/C ratio value of 1.03>1, indicating that this business has reached the optimal profit level. However, the fattening program carried out by the Sehati Livestock Group still requires evaluation in order to increase profitability in the future. 
Co-Authors Alam, Wira Yudha Irnanda, Zulfa Risma Kaloka, Aldita Barooch Safira Scott Thomas Norman