scholarly journals Rancang Bangun Sistem Pendeteksian Penyakit Tanaman Anthurium Dengan Metode Variable-Centered Intellegent Rule System (VCIRS)

2021 ◽  
Vol 1 (1) ◽  
pp. 39-46
Author(s):  
Ade Candra Saputra ◽  
Jadiaman Parhusip ◽  
Yusup Hidayat
Keyword(s):  
Plant Disease ◽  
System Analysis ◽  
Detection System ◽  
Plant Diseases ◽  
Easy Access ◽  
Design System ◽  
Accuracy Rate ◽  
Analysis And Design ◽  
Treatment Data ◽  
Rule System

The anthurium plant disease detection system that has been built is a system that can help diagnose diseases in anthurium plants based on symptoms input by the user and provide solutions to these problems. This system is intended to provide easy access to information about the types of anthurium diseases and their treatment solutions for planters, anthurium enthusiasts, or nonexpert who really need this information. This system uses disease and treatment data sourced from anthurium plant experts. There are 13 diseases and 44 symptoms of disease which becomes the system knowledge base. The research methodology carried out includes the process of knowledge acquisition, knowledge representation, VCIRS design, system analysis and design, system implementation and testing. In this study, the anthurium plant detection system was tested 13 times. The trial results showed that the system was able to diagnose anthurium plant diseases with an accuracy rate of 92.3%. Errors occur because of the diagnosis of symptoms used in several diseases and it turns out to have a higher usage rate value in a VCIRS rule.

Plant Disease Detection Using Machine Learning Approaches

2021 ◽  
pp. 122-130
Author(s):  
Sukanta Ghosh ◽  
Shubhanshu Arya ◽  
Amar Singh
Keyword(s):  
Plant Disease ◽  
Crop Yields ◽  
Detection System ◽  
Visual Observation ◽  
Plant Diseases ◽  
Disease Detection ◽  
Learning Approaches ◽  
Factors Affecting ◽  
Plant Leaf ◽  
Market Situation

Agricultural production is one of the main factors affecting a country's domestic market situation. Many problems are the reasons for estimating crop yields, which vary in different parts of the world. Overuse of chemical fertilizers, uneven distribution of rainfall, and uneven soil fertility lead to plant diseases. This forces us to focus on effective methods for detecting plant diseases. It is important to find an effective plant disease detection technique. Plants need to be monitored from the beginning of their life cycle to avoid such diseases. Observation is a kind of visual observation, which is time-consuming, costly, and requires a lot of experience. For speeding up this process, it is necessary to automate the disease detection system. A lot of researchers have developed plant leaf detection systems based on various technologies. In this chapter, the authors discuss the potential of methods for detecting plant leaf diseases. It includes various steps such as image acquisition, image segmentation, feature extraction, and classification.

ANALYSIS AND DESIGN ACCOUNTING INFORMATION SYSTEM OF FUNDING AND FINANCING AT KOPERASI SERBA USAHA SYARIAH BAITUL MAAL WAT TAMWIL BAKTI NURUL HUDA

2018 ◽  
Vol 23 (3) ◽  
pp. 274-292
Author(s):  
Malicha Aulia Zatalini ◽  
Imam Subaweh
Keyword(s):  
Information System ◽  
Data Storage ◽  
System Analysis ◽  
Accounting Information ◽  
Design System ◽  
Analysis Tool ◽  
Accounting Information System ◽  
Control Card ◽  
Analysis And Design ◽  
Computerized System

This research conducted at Kopsyah BMT Bakti Nurul Huda and applied a computerized system of funding and financing activities. The purpose of this research is to find out and analyze how the accounting information system of funding and financing activities have been running, whether the system has been running well and how alternatives system is effectively applied in Kopsyah. The research method used is descriptive analysis method with qualitative data. Data analysis techniques consist of a literature study, observation, interview, and documentation. The primary data were collected from interviews, notes, and documents related to accounting activities, while secondary data consist of organizational structure, job description, documents, forms, and accounting records. The analysis tool consists of system analysis and design system with DFD, ERD, normalization, database, and design input as well as output. The results show that Kopsyah has double positions on Baitulmaal between secretary with accounting and cashier or teller with the head of KUB, on Baitultamwil between the cashier or teller with accounting. Documents and the copies have been made, although there are some documents that do not have copies. Recording and data storage are analyzed with daily cash book, control card and Excel. The researcher proposes to separation positions by adding cashier or teller for Baitulmaal, one accounting, and one finance manager. The researcher also proposed to replace membership book from manual to printed form, eliminate the function of some documents in Baitulmaal, such as daily cash book, control card, and letter of application to become member, add documents and copies, such as receipt which consists of two sheets, deposit slip, withdrawal slip, slip of disbursement financing and slip of installment financing consists of three sheets and use computerized system and server as well as data storage with database. Keywords: Accounting Information System, Design, Financing, Funding

scholarly journals Segmentation and Classification of Plant Disease using SVM–PSO in Cloud

2019 ◽  
Vol 9 (1) ◽  
pp. 2242-2247
Keyword(s):  
Plant Disease ◽  
Detection System ◽  
Plant Diseases ◽  
Disease Detection ◽  
Detection Accuracy ◽  
Main Role ◽  
Overall Design ◽  
Segmented Image ◽  
Storage Place

Area of agriculture plant disease detection attracts is very important one, main role is diseases detection. To develop the plant diseases detection, it required to identify arrival of the diseases in the leaf and instruction to the agriculturalists. In this proposed work, a leaf disease detection system (LDDS) based on Otsu segment (OS) is developed to identify and classify the diseases in the set of leaves. Clustering scheme is offered from segmented image of the diseased leaf. Otsu segmentation is measured the size of segmented leaf are uploaded to less storage place. In observing location, the amounts are retrieved as well as the features are extracted from the original segmented image. The enhancement as well as classification is used to SVM based on PSO classifier. The overall design of this paper is LDDS take scan be calculated in terms of system efficiency and it is compared with the existing methods. The result indicates the research technique offers a whole detection accuracy of 90.5% and classification accuracy of 90.4%.

scholarly journals THE GUIDANCE OF TECHNOPRENEURSHIP USING EXPERT SYSTEM COMPUTING APPROACH BASED ON ENTREPRENEURIAL VALUES AND MULTIPLE INTELLIGENCES

2018 ◽  
Vol 2 (03) ◽  
Author(s):  
Indra Hastuti ◽  
Singgih Purnomo ◽  
Wiji Lestari
Keyword(s):  
Information Technology ◽  
Expert System ◽  
Multiple Intelligences ◽  
Domain Knowledge ◽  
System Analysis ◽  
Computer Network ◽  
System Development ◽  
Multimedia System ◽  
Design System ◽  
Analysis And Design

This study aims to build the Guidance of technopreneurship, especially Information Technology (IT) technopreneurship using expert system approach based on entrepreneurial values and multiple intelligences.The research consists of several steps : system analysis and design, system development and test and implementation system.The result is the guidance of technopreneurship using an expert system. Expert system consists of expertise domain, knowledge representation, rules, and input and output data. Data input consists of indicators of entrepreneurial values and multiple intelligences. The data output consists of conformity with 8 IT tecnopreneurships ie Software Application Developer, Data Analyst, System Analyst, Software Engineering, Computer Network Engineer, Graphics Designer & Animator, Multimedia System Developer and Embedded & Computer System Engineer.he test results with internal testing and external testing show the system works well. Keyword : Guidance;Technopreneurships; Information Technology Expert System; Entrepreneurial Values; Multiple Intelligences

scholarly journals ANALISIS DAN PERANCANGAN SISTEM PAKAR DIAGNOSA PENYAKIT TANAMAN SAWIT PADA PT. ANDALAN ALAM SUMATRA MENGGUNAKAN METODE FORWARD CHAINING

2019 ◽  
Vol 4 (2) ◽  
pp. 147
Author(s):  
Kevin Kurniawansyah ◽  
Setiawan Assegaff
Keyword(s):  
Palm Oil ◽  
Oil Palm ◽  
Plant Disease ◽  
System Analysis ◽  
Disease Diagnosis ◽  
Prototype System ◽  
Analysis And Design ◽  
Forward Chaining ◽  
Object Based ◽  
Plant Disease Diagnosis

Palm oil is one of the plantations that are often attacked by disease. The disease of this planting plants isspread rapidly, so it must be in the culprit. To know the oil palm plant disease or not to be diagnosed tothe symptoms found in the field. At PT Andalan Alam Sumatra there are still many obstacles in perosesdiagnosis of oil palm disease, while the constraint that occurs is the lack of knowledge of employees ofpalm oil disease, still need help from plantation managers in diagnosing disease. Peroses diagnostics willbe hampered when plantation managers are not in place or being out of service, this also greatly burdenthe work of a planter manager. Because of peroses peroses diagnosis of palm oil disease disease perosesdisease prevention also become obstructed. As a result, palm oil disease spreads and disrupts theproductivity of oil palms, causing death in palm oil. Therefore it is necessary media that can helpovercome this as for medianya system of plant disease diagnosis by applying Forward Chaining method.This expert system of plant disease diagnosis using object-based modeling techniques to describe theanalysis and system design, namely in the form of use case diagrams, class diagrams, and activitydiagrams. The output of this research is the design of prototype system Analysis And Design ExpertSystem Diagnosis Disease Palm Plant At PT. Andalan Alam Sumatra With Forward Chaining Method

scholarly journals An Efficient Detection System of Plant Leaf Disease to Provide Better Remedy

2020 ◽  
Vol 9 (4) ◽  
pp. 2022-2027
Keyword(s):  
Machine Learning ◽  
Plant Disease ◽  
Detection System ◽  
Brown Rot ◽  
Plant Diseases ◽  
Research Model ◽  
Protective Measures ◽  
Efficient Detection ◽  
The One

Machine learning is the one of the leading studies in Artificial Intelligence to extend research irresistibly or give the edification to a particular task to implement a scenario. The role of machine learning is to deduce the format of the data, make it feasible to design models that can be easily understood and apply them. This application could also be done in the field of agriculture in detecting the crop diseases. Plant diseases caused by microorganisms lead to serious reaping loss all-around. The most frequently effected diseases to plants are bacterial Canker, Blank knot, Brown Rot, Anthracnose, Apple Scarb etc. The prototype framework in this research model is for predicting and identifying the plant disease and provides remedies that can be used as protective measures against the disease. The implementation of the model described in this paper incorporates dense neural networks (DNN) Algorithm which is the sub part of Convolutional Neural Network (ConvNet/CNN). To build the model we have used TensorFlow DNN models

scholarly journals Analisis dan Perancangan Sistem Informasi Akuntansi Penjualan dan Persediaan

The Winners ◽  
2008 ◽  
Vol 9 (1) ◽  
pp. 88
Author(s):  
Henny Hendarti ◽  
Anton Anton ◽  
Didi Didi ◽  
Mochtar Cakra
Keyword(s):  
System Analysis ◽  
Foreign Currency ◽  
Design Method ◽  
Recording System ◽  
Design System ◽  
Study Analysis ◽  
Literature Study ◽  
Analysis And Design ◽  
Analysis System ◽  
Computerized System

Article purpose was to make computerized system useable for running the company operational and the activity always needs information. The data collecting method were done by literature study, field study, and documentation study. Analysis and design method consisted of four phase, which were investigation system, analysis system, design system, and implementation system. The result from observation was the company needs transaction recording system that computerized so every selling or buying transaction of foreign currency can directly update the inventory. The conclusion is that the up-to-date selling and inventory information can help manager in making decision.

Digital Image Processing for Detecting and Classifying Plant Diseases

2017 ◽  
Vol 2 (11) ◽  
pp. 1-7
Author(s):  
Izay A. ◽  
Onyejegbu L. N.
Keyword(s):  
Image Processing ◽  
Fuzzy Logic ◽  
Programming Language ◽  
Design Methodology ◽  
Fuzzy Logic Controller ◽  
Object Oriented ◽  
Plant Diseases ◽  
Analysis And Design ◽  
Crop Diseases ◽  
Growing Population

Agriculture is the backbone of human sustenance in this world. With growing population, there is need for increased productivity in agriculture to be able to meet the demands. Diseases can occur on any part of a plant, but in this paper only the symptoms in the fruits of a plant is considered using segmentation algorithm and edge/ sizing detectors. We also looked at image processing using fuzzy logic controller. The system was designed using object oriented analysis and design methodology. It was implemented using MySQL for the database, and PHP programming language. This system will be of great benefit to farmers and will encourage them in investing their resources since crop diseases can be detected and eliminated early.

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