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RANCANG BANGUN WEB ECOMMERCE DENGAN DASHBOARD SYSTEM AKSESORIS DAN MAINAN ANAK PADA UD SINAR GEMILANG SURABAYA de Araujo, Domingos Sinorio; Farida, Eni; Mumpuni , Indah Dwi
Dinamika Dotcom : Jurnal Pengembangan Manajemen Informatika dan Komputer DINAMIKA DOTCOM Vol.15 No.2 Tahun 2024
Publisher : Sekolah Tinggi Manajemen Informatika & Komputer PPKIA Pradya Paramita Malang

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Abstract

The scope marketing of UD Sinar Gemilang is still based in the Surabaya and is still face to face marketing (face-to-face with the customers). Moreover, if existing the remaining stock of products distributed then UD Sinar Gemilang can’t sell them in retail.This Ecommerce can help UD Sinar Gemilang sell the remaining stock and also expand the marketing network. This ecommerce was designed using object-oriented methods, namely the making Use Case, Activity Diagram, Sequence Diagram and Class Diagram for designing and documenting software systems based Data flow.This ecommerce has two pages, admin pages and user pages. Admin login divided into two levels: admin and super admin. Admin can only access content that is transactional, while for the control fully assigned to the owner as Super admin. Admin page load master data, such as product data, user data, customer data, transaction data and reports. User pages can be accessible by anyone without limitation of the right access, but users are required to make a reservation for the first login, the user page contains product data and transaction.
SISTEM PAKAR DIAGNOSA HAMA TANAMAN KEDELAI DENGAN METODE FUZZY TSUKAMOTO Fahri , Agis Arizal; Yunus, Mahmud; Farida, Eni
Dinamika Dotcom : Jurnal Pengembangan Manajemen Informatika dan Komputer DINAMIKA DOTCOM Vol.16 No.1 Tahun 2025
Publisher : Sekolah Tinggi Manajemen Informatika & Komputer PPKIA Pradya Paramita Malang

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Abstract

Soybeans are a key ingredient in Indonesian foods such as tempeh, tofu, and soy sauce. However, pest attacks often reduce the quality and quantity of production. Delays in pest diagnosis can result in significant losses for farmers. This research aims to develop an expert system for diagnosing soybean plant pests using the Tsukamoto Fuzzy Method. This system uses various physical symptoms as input variables, such as brown spots on seeds, premature plant death, leaf epidermis damage, and the presence of larvae on stems. These symptoms are processed to identify the output variable, namely the type of pest, including: bean fly, armyworm, pod borer, shoot fly, ladybug, and stem fly.Based on testing results, this expert system has proven capable of accurately identifying the types of pests attacking soybean plants based on the input symptoms. In addition to diagnosis, the application also provides solutions in the form of in-depth information regarding pest characteristics and effective control methods.