An Ontology-Based Decision Support System for Insect Pest Control in Crops

2018 ◽  
pp. 3-14 ◽  
Author(s):  
Katty Lagos-Ortiz ◽  
José Medina-Moreira ◽  
César Morán-Castro ◽  
Carlos Campuzano ◽  
Rafael Valencia-García
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Pest Control ◽  
Support System ◽  
Insect Pest ◽  
Insect Pest Control

scholarly journals Decision Support System for Fitting and Mapping Nonlinear Functions with Application to Insect Pest Management in the Biological Control Context

Algorithms ◽  
2020 ◽  
Vol 13 (4) ◽  
pp. 104
Author(s):  
Ritter A. Guimapi ◽  
Samira A. Mohamed ◽  
Lisa Biber-Freudenberger ◽  
Waweru Mwangi ◽  
Sunday Ekesi ◽  
...  
Keyword(s):  
Experimental Data ◽  
Decision Support ◽  
Decision Support System ◽  
Programming Languages ◽  
Support System ◽  
Insect Pest ◽  
Model Fitting ◽  
Potential Zone ◽  
Grid Data ◽  
Landscape Level

The process of moving from experimental data to modeling and characterizing the dynamics and interactions in natural processes is a challenging task. This paper proposes an interactive platform for fitting data derived from experiments to mathematical expressions and carrying out spatial visualization. The platform is designed using a component-based software architectural approach, implemented in R and the Java programming languages. It uses experimental data as input for model fitting, then applies the obtained model at the landscape level via a spatial temperature grid data to yield regional and continental maps. Different modules and functionalities of the tool are presented with a case study, in which the tool is used to establish a temperature-dependent virulence model and map the potential zone of efficacy of a fungal-based biopesticide. The decision support system (DSS) was developed in generic form, and it can be used by anyone interested in fitting mathematical equations to experimental data collected following the described protocol and, depending on the type of investigation, it offers the possibility of projecting the model at the landscape level.

Decision Support System Development Based On Android Using Analytical Hierarchy Process (AHP) Method For Determining The Middle Small Business Development Priority In Sorong City

2019 ◽  
Vol 5 (2) ◽  
pp. 25-39
Author(s):  
Luluk Suryani ◽  
Raditya Faisal Waliulu ◽  
Ery Murniyasih
Keyword(s):  
Decision Support ◽  
Small Business ◽  
Decision Support System ◽  
Support System ◽  
Analytical Hierarchy Process ◽  
System Development ◽  
Business Development ◽  
Ahp Method ◽  
Small Business Development ◽  
Hierarchy Process

Usaha Kecil Menengah (UKM) adalah salah satu penggerak perekonomian suatu daerah, termasuk Kota Sorong. UKM di Kota Sorong belum berkembang secara optimal. Ada beberapa penyebab diantaranya adalah mengenai finansial, lokasi, bahan baku dan lain-lain. Untuk menyelesaikan permasalah tersebut peneliti terdorong untuk melakukan pengembangan Aplikasi yang dapat membantu menentukan prioritas UKM yang sesuai dengan kondisi pelaku usaha. Pada penelitian ini akan digunakan metode Analitycal Hierarchy Process (AHP), untuk pengambilan keputusannya. Metode AHP dipilih karena mampu menyeleksi dan menentukan alternatif terbaik dari sejumlah alternatif yang tersedia. Dalam hal ini alternatif yang dimaksudkan yaitu UKM terbaik yang dapat dipilih oleh pelaku usaha sesuai dengan kriteria yang telah ditentukan. Penelitian dilakukan dengan mencari nilai bobot untuk setiap atribut, kemudian dilakukan proses perankingan yang akan menentukan alternatif yang optimal, yaitu UKM. Aplikasi Sistem Pendukung Keputusan yang dikembangkan berbasis Android, dimana pengguna akan mudah menggunakannya sewaktu-waktu jika terjadi perubahan bobot pada kriteria atau intensitas.  Hasil akhir menunjukkan bahwa metode AHP berhasil diterapkan pada Aplikasi Penentuan Prioritas Pengembangan UKM.

THE ACCURACY OF THE SPORTS TALENT IDENTIFICATION DECISION SUPPORT SYSTEM FOR YOUNG ATHLETES

2014 ◽  
Author(s):  
Kamaruzaman S. ◽  
◽  
A. H. Omar ◽  
Muhammad Iqbal Tariq Idris ◽  
Izwyn Z. ◽  
...  
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Young Athletes ◽  
Talent Identification ◽  
Identification Decision
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