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Efektivitas pemberian Beauveria Bassiana Dan Ekstrak lengkuas (Alpinia galanga L.) Terhadap Pengendalian OPT Tanaman Cabai (Capsicum annum L.) Alaida Yahya, Fifin; Oktarina; Suroso , Bejo
Callus: Journal of Agrotechnology Science Vol. 3 No. 3 (2025): September
Publisher : Indonesian Journal Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47134/callus.v3i3.3854

Abstract

Penelitian ini bertujuan untuk mengetahui identifikasi Beauveria bassiana dan ekstrak lengkuas (Alpinia galanga L.) terhadap pengendalian OPT cabai dan mengetahui dampak serangan OPT dari pemberian Beauveria bassiana dan ekstrak lengkuas terhadap hasil produksi tanaman cabai (Capsicum annum). Penelitian dilaksanakan di Desa Kepanjen, Gumukmas, Jember. Pada September sampai Januari 2023. Pada penelitian ini menggunakan Rancangan Acak Kelompok (RAK) satu faktor dan enam kali ulangan yaitu: Faktor pemberian Beauveria bassiana konsentrasi 60 g/L dan Ekstrak lengkuas konsentrasi 100 g/L, dengan empat perlakuan yang terdiri dari B0 (perlakuan kontrol), B1 (B. Bassiana konsentrasi 60 gr/L), B2 (Ekstrak lengkuas konsentrasi 100 gr/L), dan B3 (B. Bassiana konsentrasi 60 gr/L dan Ekstrak lengkuas konsentrasi 100 gr/L). Hasil penelitian menunjukkan perlakuan B3 berpengaruh nyata dalam mengendalikan hama Thrips parvispinus Karny, Oxya chinensis, Leptocorisa acuta Thumb. serta penyakit Colletotrichum capsici, Fusarium oxysporum. Dan berpengaruh nyata dalam meningkatkan hasil produksi pada tanaman cabai serta merupakan perlakuan yang terbaik pada variabel pengamatan Jumlah buah sehat pertanaman, jumlah buah total pertanaman, berat total buah pertanaman, dan berat total buah perplot.
Pengaruh Fasilitas Terhadap Minat Berkunjung Wisatawan di Bayt Al-Qur’an Al-Akbar Kota Palembang Oktarina; Rini; Munparidi
Jurnal Terapan Ilmu Ekonomi, Manajemen dan Bisnis Vol. 1 No. 6 (2021): Jurnal Terapan Ilmu Ekonomi, Manajemen dan Bisnis Desember 2021
Publisher : Politeknik Negeri Sriwijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5281/jtiemb.v1i6.4356

Abstract

Palembang is the Province of South Sumatera which many tourist attractions, which is a religious tourism namely Bayt Al-Qur’an Al-Akbar. This research focuses on the Bayt Al-Qur’an Al-Akbar tourist attraction. This research aims to determine the influence of Facilities on the Interests of Visiting tourists to Bayt Al-Qur'an Al-Akbar. This research methods uses quantitative-descriptive with data  form  survey techniques to visitors Bayt Al-Qur'an Al-Akbar through questionnaires the sample of 100 respondents. The research data uses Multiple Linear Regression Analysis processed with IBM SPSS version 25. Based on the results the test hypothesis t partially variable Facilities has a positive relationship and has a significant influence on the interests of visiting tourists to Bayt Al-Qur'an Al-Akbar. The results of F test simultan variable independent together has a positive and significantinfluence on the interests of visiting tourists to Bayt Al-Qur’an Al-Akbar. Facilities with a regression coefficient to the interests visiting, that the facilities needs to be improved to attract visitors coming back to Bayt Al-Qur'an Al-Akbar.
APLIKASI KECERDASAN BUATAN DAN PEMAHAMAN MESIN DALAM PERTANIAN URBAN: TINJAUAN SISTEMATIS DAN PERSPEKTIF MASA DEPAN Umarie, Iskandar; Hazmi, Muhammad; Oktarina; Podesta, Fiana
Jurnal Agroqua: Media Informasi Agronomi dan Budidaya Perairan Vol 23 No 2 (2025): Jurnal Agroqua
Publisher : University of Prof. Dr. Hazairin, SH

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32663/ja.v23i2.5311

Abstract

This study aims to conduct a systematic and comprehensive literature review on the applications of artificial intelligence and machine learning in vertical farming, focusing on technology optimization, economic aspects, and environmental sustainability. The method used is a systematic literature review (SLR) of open-access academic publications from reputable international databases such as Scopus, Web of Science, and Google Scholar, with a publication timeframe spanning the last five years (2018-2023). The review results indicate that the most widely applied soilless cultivation technologies are hydroponics, aeroponics, and aquaponics, with aeroponics demonstrating the highest water use efficiency. The integration of IoT, smart sensors, and AI can increase crop productivity; however, the carbon footprint of these systems is highly dependent on the energy source used. The main barriers to adoption are high initial investment and operational energy costs. This article contributes to updating and expanding the understanding of the applications of artificial intelligence and machine learning in vertical farming, as well as identifying research gaps and proposing directions for technology and policy development oriented towards sustainability and profitability