Andi Dewi Angreyani
Fakultas Ekonomi dan Bisnis, Universitas Negeri Makassar

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PENINGKATAN PENDAPATAN PETERNAK KAMBING MELALUI OPTIMALISASI MANAJEMEN PEMELIHARAAN DI KECAMATAN PATTALLASSANG KABUPATEN GOWA Ilma Wulansari Hasdiansa; Sitti Hasbiah; Annisa Paramaswary Aslam; Nurul Fadilah Aswar; Andi Dewi Angreyani
Publikasi Ilmiah Bidang Pengabdian Kepada Masyarakat (SIKEMAS) Vol. 4 No. 4 (2026): Artikel Pengabdian bulan Januari-Maret 2026
Publisher : Lafadz Jaya Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47353/sikemas.v4i4.4624

Abstract

This community service activity aims to improve the capacity of goat farmers by optimizing livestock management in Sanging-Sanging Village, Pattallassang District, Gowa Regency. The main challenges faced by the partners included limited knowledge of feed management, suboptimal housing systems, and a lack of understanding of livestock health. The activity was conducted in February 2026 and involved five small-to-medium-scale goat farmers, each with between 40 and 100 goats. The methods used included observation, counseling, training, and participatory mentoring. The results showed an increase in farmers' knowledge and skills in feed management, improved housing systems, and the implementation of better husbandry practices. Farmers began implementing more regular feeding, maintaining clean pens, and utilizing livestock waste as organic fertilizer. Furthermore, there was an increase in farmers' awareness of the importance of more efficient business management. Although income increases were not yet significant in the short term, there were indications of improved business efficiency, which has the potential to increase profits in the long term. This activity demonstrated that the counseling and mentoring approach is effective in increasing farmer capacity and supporting the development of goat farming businesses at the community level.
Analisis Volatilitas Return Saham Emiten Sektor Keuangan di Bursa Efek Indonesia (BEI) pada Periode Terjadinya Unusual Market Activity (UMA) Tahun 2023 - 2025 Menggunakan Model GARCH Anisya Devinta Taufik; Muhammad Ilham Wardhana Haeruddin; Hety Budiyanti; Andi Dewi Angreyani; Muhammad Rijal Alim Rahmat
Jurnal Ilmu Manajemen, Bisnis dan Ekonomi Vol 4 No 3 (2026): Oktober
Publisher : PT Maju Malaqbi Makkarana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59971/jimbe.v4i3.581

Abstract

This study aims to analyze the stock return volatility of financial sector issuers listed on the Indonesia Stock Exchange (IDX) during periods of Unusual Market Activity (UMA) between 2023 and 2025, utilizing the GARCH model. The research employs a descriptive-comparative design with a quantitative approach. The sample comprises 30 financial sector issuers selected via purposive sampling, using an event window of t−5 to t+5. Analytical techniques include the ADF test, ARCH effect test, GARCH(1,1) model estimation, the Friedman Test, and the Wilcoxon Signed-Ranks Test. The results indicate that: (1) Stock return volatility exhibits characteristics of volatility clustering and leptokurtosis that can be modeled using GARCH(1,1), as evidenced by the significant ARCH coefficient (α = 0.3280; prob = 0.0012); (2) There are significant differences in volatility patterns across the periods before, during, and after the UMA announcement (Chi-Square = 40.267; Sig. < 0.001); (3) Volatility is non-persistent, characterized by a low persistence coefficient (λ = 0.1628), indicating that the impact of the UMA announcement is merely temporary and the market is capable of efficiently returning to normal conditions.