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The Effectiveness of The Form And Method of Giving Solid Organic Fertilizer to The Growth and Yield of Sweet Corn (Zea mays saccharata Sturt) in Inceptisols Simanihuruk, Bilman Wilman; Anugerah, Ade; Gusmara, Herry
Akta Agrosia Vol 24 No 2 (2021)
Publisher : Badan Penerbitan Fakultas Pertanian (BPFP), Fakultas Pertanian, Universitas Bengkkulu

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Abstract

This study aims to obtain a combination of organic fertilizers and the method of giving solid organic fertilizer to the growth and yield of sweet corn. The research was conducted from March to May 2019 in Karang Dapo Village, Bingin Kuning District, Lebong Regency, Bengkulu Province. This study used a Complete Randomized Block Design (RCBD) with one factor and three replications, consisting of 11 combinations namely control, solid organic fertilizer (SOF) dose of 2,5 tons ha-1 by localized placement,  5 tons ha-1 by localized placement, Petroganic 500 kg ha-1 by localized placement, Petroganic 1000 kg ha-1 by localized placement, Petroganic 2000 kg ha-1 by localized placement, SOF 2,5 tons ha-1 by side dressing SOF 5 tons ha-1 by side dressing, Petroganic 500 kg ha-1 by side dressing, Petroganic by 1000 kg ha-1 by side dressing, Petroganic 2000 kg ha-1 by side dressing. There were 11 treatment combinations, each treatment was replicated 3 times, so that 33 experimental units were obtained. The results showed that the distribution of SOF 5 tons ha-1 by localized placement had an effect on stem diameter which gave of 3.25 cm, the number of leaves 13.1 strands, and percentage of cob worth selling 100%. Giving SOF 5 tons ha-1 by localized placement giving yields reached 34.4 tons ha-1. Giving organic fertilizer gives better results than without applying organic fertilizer to all observed variables.Keyword: Solid Organic Fertilizer, Petroganic, Sweet corn, localized placement, side dressing
Integrasi Metode Forward Chaining dan Teorema Bayes Untuk Identifikasi Diagnosa Penyakit Kulit Pada Kucing Anugerah, Ade; Sucipto; Syarifah Putri Agustini Alkadri
JURNAL FASILKOM Vol. 15 No. 3 (2025): Jurnal FASILKOM (teknologi inFormASi dan ILmu KOMputer)
Publisher : Unversitas Muhammadiyah Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37859/jf.v15i3.10288

Abstract

Skin diseases in cats are among the most common health issues, yet many cat owners still lack awareness of their symptoms. Limited access to veterinary services, especially in regions such as West Kalimantan, poses a significant challenge in early identification and treatment. This study aims to develop a web-based expert system capable of automatically diagnosing skin diseases in cats based on symptoms inputted by users. The system utilizes the Forward Chaining method for rule-based inference and the Bayes Theorem for probabilistic calculation to determine the likelihood of diseases. The system was built using the Laravel framework and MySQL database, based on a total of 83 case data obtained through direct interviews with veterinary experts. Testing using black-box and user acceptance methods showed that the system functions effectively and delivers accurate and informative diagnostic results. The system achieved an accuracy rate of 100% when tested on validated expert data. Therefore, this system can serve as an effective tool for cat owners to quickly and independently gain initial insights into their cat’s skin health before consulting a veterinarian.