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Penerapan Teknologi Chopper Master untuk Meningkatkan Produktivitas Peternak Kambing Mardji, Mardji; Widiyanti, Widiyanti; Mindarta, Erwin Komara; Effendi, Muhammad Idris; Riza, Fahru; Desinta, Kintan; Setiadi, Arvieka Sabilla Putri
Indonesian Research Journal on Education Vol. 5 No. 4 (2025): Irje 2025
Publisher : Fakultas Keguruan dan Ilmu Pendidikan, Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/irje.v5i4.2771

Abstract

Penelitian ini dilatarbelakangi oleh rendahnya efisiensi pencacahan pakan yang masih dilakukan secara manual oleh peternak kambing di Desa Wonosari, Kabupaten Kediri, yang berdampak pada penurunan produktivitas kerja dan kualitas konsumsi pakan ternak. Untuk mengatasi permasalahan tersebut, kegiatan pengabdian masyarakat ini menerapkan teknologi tepat guna berupa mesin pencacah pakan Chopper Master sebagai solusi mekanisasi pakan yang kontekstual. Data dikumpulkan melalui survei kebutuhan mitra, observasi lapangan, dan wawancara dengan peternak. Instrumen yang digunakan meliputi kuesioner evaluatif dan panduan observasi. Teknik analisis data dilakukan secara deskriptif kuantitatif terhadap hasil kuesioner dan deskriptif kualitatif terhadap hasil observasi dan wawancara. Prosedur pelaksanaan mencakup rancang bangun mesin, pelatihan teknis, demonstrasi, serta pendampingan intensif selama enam kali kunjungan. Hasil kegiatan menunjukkan peningkatan efisiensi waktu pencacahan pakan lebih dari 60% dibandingkan metode manual. Peternak juga menunjukkan kemandirian dalam pengoperasian alat, dan terbentuk sistem rotasi penggunaan alat antaranggota kelompok. Respons mitra menunjukkan tingkat kepuasan tinggi terhadap efektivitas alat dan keberhasilan proses pendampingan. Selain itu, kegiatan ini memunculkan konsep baru berupa mekanisasi kontekstual dan modifikasi teori adopsi teknologi yang mempertimbangkan variabel sosial lokal, yang dapat direplikasi di wilayah lain untuk mendukung keberlanjutan peternakan rakyat.
BUILDING VOCATIONAL HIGH SCHOOL STUDENTS EMPLOYABILITY SKILLS IN VOCATIONAL EDUCATION WITH AN ARTIFICIAL INTELLIGENCE (AI) APPROACH Setiadi, Arvieka Sabilla Putri; Yoto, Yoto
SOSIOEDUKASI Vol 14 No 4 (2025): SOSIOEDUKASI : JURNAL ILMIAH ILMU PENDIDIKAN DAN SOSIAL
Publisher : Fakultas Keguruan Dan Ilmu Pendidikan Universaitas PGRI Banyuwangi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36526/sosioedukasi.v14i4.6415

Abstract

The application of artificial intelligence (AI) in vocational education, particularly in Vocational High Schools (SMK), has a significant impact on improving students' employability skills. This study aims to examine the impact of AI integration in vocational education, focusing on the development of technical skills (hard skills) and interpersonal skills (soft skills). Using a Systematic Literature Review (SLR) approach, this article analyzes various studies discussing the implementation of AI in vocational education, as well as the challenges and opportunities that exist. The findings indicate that AI can improve learning effectiveness through personalized materials, the use of industry-based simulations, and the development of communication and collaboration skills among students. However, challenges faced include limited infrastructure, a lack of technical skills among educators, and resistance to change from schools and students. This study also emphasizes the need for educational policies that support technological development, improve educator skills, and strengthen collaboration between education and industry to create curricula relevant to job market needs, so that vocational high school graduates can compete globally in an increasingly digital world.
THE EFFECT OF FINANCIAL RATIOS ON FINANCIAL DISTRESS IN THE PROPERTY, REAL ESTATE AND BUILDING CONSTRUCTION SECTOR AT THE IDX IN 2019-2023 Setianingsih, Novie Astuti; Asmoro, Wiwiek Kusumaning; Andari, Atik Tri; Hamidah, Fitria Nur; Setiadi, Arvieka Sabilla Putri
Jurnal Apresiasi Ekonomi Vol 14, No 1 (2026)
Publisher : Institut Teknologi dan Ilmu Sosial Khatulistiwa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31846/jae.v14i1.1010

Abstract

The study explores the determinants of financial distress, defined as a company’s incapacity to meet its obligations and considered an early warning of bankruptcy. It specifically analyzes the impact of profitability (ROA), liquidity, leverage, activity, and sales growth ratios on financial distress. The goal is to provide companies, investors, and creditors with a basis for considering these ratios as critical information when assessing a company's susceptibility to financial distress. As a quantitative study, the research sample includes 10 companies from the Property, Real Estate, and Construction Sectors that were part of the LQ45 index on the BEI between 2019 and 2023, selected through the purposive sampling method. The results of the hypothesis testing are as follows: H1, postulating a negative effect of profitability on financial distress, is rejected. H2, postulating a negative effect of liquidity on financial distress, is rejected. H3, which stated that leverage has a positive effect on financial distress, is rejected. Conversely, H4, positing a negative effect of sales growth on financial distress, is accepted. Furthermore, H5, which stated that company size has a negative effect on financial distress, is accepted.