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All Journal JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) Journal of Advanced in Information and Industrial Technology (JAIIT)
Marjudi, Suziyanti Binti
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Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Education Electrical & Electronics Engineering Industrial & Manufacturing Engineering

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Diagnosis of Tobacco Plant Pests and Diseases Using the Forward Chaining Method Mauladi, Kemal Farouq; Laksono, Arief Budi; Marjudi, Suziyanti Binti
Journal of Advances in Information and Industrial Technology Vol. 7 No. 1 (2025): May
Publisher : LPPM Telkom University Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52435/jaiit.v7i1.629

Abstract

Tobacco is a plantation commodity that is susceptible to pests and diseases, such as Phytophthora nicotianae (lanas disease), Myzus persicae (aphids), or Cercospora nicotianae (leaf spots). Lack of farmer knowledge in identifying early symptoms often leads to inappropriate handling and economic losses. This study aims to develop an expert system based on the Forward Chaining method to diagnose tobacco plant pests and diseases quickly and accurately. Symptom data are collected through field observations and literature and then represented as rule-based knowledge (for example, "IF leaves with yellow spots AND brown spots in the middle THEN Cercospora nicotianae"). The Forward Chaining method makes inferences by matching user input facts (symptoms) to existing rules to reach conclusions. The system was tested using 50 field cases with an accuracy of 85% compared to manual diagnosis by experts.
IMPLEMENTASI ALGORITMA AUTOREGRESSIVE INTERGATED MOVING AVERAGE UNTUK PREDIKSI PENJUALAN OBAT PADA APOTEK ALAM TIGA Mauladi, Kemal Farouq; Pratiwi, Nidia Elisa; Marjudi, Suziyanti Binti
JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) Vol 11, No 1 (2026)
Publisher : STKIP PGRI Tulungagung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29100/jipi.v11i1.7611

Abstract

Implementasi algoritma Autoregressive Integrated Moving Average (ARIMA) telah dilakukan untuk memprediksi produksi penjualan obat pada Apotek Alam Tiga berbasis web. Tujuan dari penelitian ini adalah untuk meningkatkan akurasi perencanaan produksi dan manajemen stok obat dengan memanfaatkan metode Time Series Forecasting. Data historis penjualan obat dari Apotek Alam Tiga digunakan sebagai dasar untuk membangun model ARIMA. Proses pembangunan model meliputi identifikasi stasioneritas data, penentuan parameter model (p, d, q), estimasi parameter, dan validasi model menggunakan metode seperti Akaike Information Criterion (AIC) dan uji residual.@font-face {font-family:"Cambria Math"; panose-1:2 4 5 3 5 4 6 3 2 4; mso-font-charset:0; mso-generic-font-family:roman; mso-font-pitch:variable; mso-font-signature:-536870145 1107305727 0 0 415 0;}p.MsoNormal, li.MsoNormal, div.MsoNormal {mso-style-unhide:no; mso-style-qformat:yes; mso-style-parent:""; margin:0cm; mso-pagination:widow-orphan; font-size:10.0pt; font-family:"Times New Roman",serif; mso-fareast-font-family:"Times New Roman"; mso-ansi-language:EN-US; mso-fareast-language:EN-US;}.MsoChpDefault {mso-style-type:export-only; mso-default-props:yes; font-size:10.0pt; mso-ansi-font-size:10.0pt; mso-bidi-font-size:10.0pt; mso-font-kerning:0pt; mso-ligatures:none; mso-ansi-language:EN-US; mso-fareast-language:EN-US;}div.WordSection1 {page:WordSection1;}
Co-Authors Laksono, Arief Budi Mauladi, Kemal Farouq Pratiwi, Nidia Elisa