cover
Article Per Year (5 Year)
All
Home Page
OAI Link
Editorial Team
Contact
Reviewer
Google Scholar
Contact Name
Hengki Tamando Sihotang
Contact Email
hengkitamando26@gmail.com
Phone
+6281381251442
Journal Mail Official
hengkitamando26@gmail.com
Editorial Address
Romeby Lestari Housing Complex Blok C, No C14 Deliserdang, North Sumatra, Indonesia
Location
Unknown,
Unknown
INDONESIA
International Journal of Basic and Applied Science
Published by Institute of Computer Science
ISSN : 23018038     EISSN : 27763013     DOI : https://doi.org/10.35335/ijobas
Core Subject : Science, Engineering,
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Electrical & Electronics Engineering Physics
International Journal of Basic and Applied Science provides an advanced forum on all aspects of applied natural sciences. It publishes reviews, research papers, and communications. Our aim is to encourage scientists to publish their experimental and theoretical results in as much detail as possible. There is no restriction on the length of the papers. The full experimental details must be provided so that the results can be reproduced. Electronic files and software regarding the full details of the calculation or experimental procedure, if unable to be published in a normal way, can be deposited as supplementary electronic material.
Arjuna Subject : Umum - Umum
Articles 5 Documents
 1 
Search results for , issue "Vol. 9 No. 2 (2020): September: Basic and Applied Science" : 5 Documents clear
Expert System for Diagnosing Pests and Diseases on Onion Crops due to Climate Change and Weather using Bayes' Theorem Method Adam Jordan Lumbangaol
International Journal of Basic and Applied Science Vol. 9 No. 2 (2020): September: Basic and Applied Science
Publisher : Institute of Computer Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35335/ijobas.v9i2.12

Abstract

The main purpose of this study is to diagnose the types of pests and diseases on shallot plants due to climate change and weather carried out at the Department of Agriculture, Humbang Hasundutan district. Pests and diseases of shallot plants can be disturbed or infected by pests and diseases to other shallot plants so that farmers need to be wary of. Therefore, the dissemination of information about pests and diseases is very necessary to find out early on the types of pests and diseases in shallot plants due to climate and weather changes. Types of pests and diseases of shallots due to climate and weather changes are onion caterpillar (Spodoptera exiqua), leaf miner fly (Liriomyza chinensis), bodas pest (Thrips tabaci), purple spot (Alternaria porri), anthracnose (Cholletorichum gloesprorioiodes), dew , Mosaic disease or mole. So that it aims to produce an application-based expert system to diagnose pests and diseases on shallot plants due to climate and weather changes through the symptoms that occur in shallot plants. The methodology used for this research is the Bayes Theorem method. References from internet books and experts in their fields are Sumurung Toga Torop, who works at the Humbang Hasundutan Agriculture Service. As for the software using Visual Basic 2010 as its programming language, as well as Microsoft Access 2010.
Expert System for Diagnosing Pests and Diseases in Arabica Coffee Plants using the Certainty Factor Method Era Pelita Sinaga
International Journal of Basic and Applied Science Vol. 9 No. 2 (2020): September: Basic and Applied Science
Publisher : Institute of Computer Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35335/ijobas.v9i2.13

Abstract

Arabica coffee is coffee which is known to have the best quality among others, because it has a distinctive aroma and taste. However, arabica coffee is more susceptible to infection with pests and diseases, which causes farmers to experience difficulties in maintaining arabica coffee and lack of knowledge about how to control pests and diseases that attack arabica coffee. In handling pests and diseases, an agricultural consultant is needed to diagnose pests and diseases of arabica coffee plants. In this study, the expert system diagnosed pests and diseases in Arabica coffee plants was built to diagnose pests and diseases that attack arabica coffee plants, and provide solutions for pests and diseases. The method used in this expert system is the Certainty Factor method. Certainty Factor method is chosen because this method is suitable in the process of determining the identification of pests and diseases, and the results of applying this method are percentages. The percentage of expert system consultations was taken from the highest yield, as an alternative to pests and diseases that attacked arabica coffee plants. The expert system diagnoses pests and diseases of arabica coffee plants to make it easier for Arabica coffee farmers to find more detailed and accurate information about Arabica Coffee pests and diseases and their control.
Expert System Diagnosing Heart Disease using Bayes' Theorem Method Cahaya Ningsih
International Journal of Basic and Applied Science Vol. 9 No. 2 (2020): September: Basic and Applied Science
Publisher : Institute of Computer Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35335/ijobas.v9i2.14

Abstract

Heart disease is one of the leading causes of death in Indonesia. The high number of deaths from heart disease is caused by the lack of cardiologists, the lack of public awareness of conducting regular heart health checks and the poor lifestyle of patients. So we need an application that can make it easier for users to detect heart disease early and independently. In this study, the aim is to build an application using the website-based Bayes Theorem method as a tool for diagnosing coronary heart disease. In this application, patients do not have to wait long for treatment by a doctor, but it can be an alternative to anticipate treatment quickly and precisely. How to use this application, the admin inputs questions in the form of symptoms that will be answered by the user, then the system will process all user answers using the Bayes theorem method and the system will issue output in the form of diagnostic results in the form of heart disease and various solutions. This application uses a Web programming language and Php & Mysql as a database. The system that has been built can assist patients in knowing the type of heart disease that is being suffered by the patient and according to the analysis of heart disease experts.
Expert System Diagnosing Diseases of Freshwater Ornamental Fish using Bayes' Theorem Method Roindah Simalango
International Journal of Basic and Applied Science Vol. 9 No. 2 (2020): September: Basic and Applied Science
Publisher : Institute of Computer Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35335/ijobas.v9i2.15

Abstract

When a fish is attacked by a disease, it will show physical changes, it can be seen from the symptoms that appear. From the visible symptoms, the type of fish disease can be identified and the treatment stage is immediately carried out so that there is no big loss. Diagnosis is the initial stage to find out the symptoms of a type of ornamental fish disease in order to be able to overcome the disease at an early stage. The purpose of diagnosis using Bayes' theorem is to help the public / ordinary people do the work of experts to diagnose computer-based ornamental fish diseases easily, quickly and the process can be repeated automatically. An expert information system is a software application that has a knowledge base for a particular domain and uses inference reasoning like an expert in solving a problem. In the design of the expert system that was built, the disease code was determined consisting of codes P001 to P0016, used as a reference for diagnosing the disease. Symptom code: G1 to G31, is the type of symptom that appears. In the testing phase, a trial was carried out on the Expert System application with the Bayes Theorem that had been built. The results of the diagnosis and the probability of the disease in ornamental fish will be searched using calculations based on the symptoms experienced by the fish. From the case example, after calculating the Bayes value, the highest cause with a percentage of 86% was caused by Aeromonas sp. and Pseudomonas sp.
Determination of the Amount of Instant Noodle Production By Applying the Fuzzy Mamdani Method at PT. Indofood CBP Sukses Makmur Tbk Medan Jon Parlagutan Panjaitan
International Journal of Basic and Applied Science Vol. 9 No. 2 (2020): September: Basic and Applied Science
Publisher : Institute of Computer Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35335/ijobas.v9i2.16

Abstract

The problem that often occurs in a company is difficult to determine the amount of production that must be produced, this is because the number of requests is not always fixed or there is no certainty. So also at PT Indofood CBP Sukses Makmur Tbk Medan which is engaged in the production of instant noodles. Fuzzy logic is one method for analyzing systems that contain uncertainty. The author uses the method mamdani or often also known method Min - Max, in this study the author uses data on the number of requests and the amount of inventory in PT. Indofood CBP prosperous success in the field from January to March 2018. System design to get output is done in stages (a) formation of fuzzy sets. (b) application of implication functions, (c) forming rules, (d) confirmation (defuzzification). In this study defuzzification is done using the centroid method

Page 1 of 1 | Total Record : 5

 1 

Filter by Year

2020 2020


Reset
Filter By Issues
All Issue Vol. 14 No. 2 (2025): Sep (In Progress) Vol. 14 No. 1 (2025): Computer Science, Engineering, Basic and Applied mathematics Science Vol. 13 No. 4 (2025): Computer Science, Engineering, Basic and Applied mathematics Science Vol. 13 No. 3 (2024): Dec: Optimization and Artificial Intelligence Vol. 13 No. 2 (2024): Sep: Basic and Applied Science Vol. 13 No. 1 (2024): June: Basic and Aplied Science Vol. 12 No. 4 (2024): March: Basic and Applied Science Vol. 12 No. 3 (2023): December: Basic and Applied Science Vol. 12 No. 2 (2023): Sep: Basic and Applied Science Vol. 12 No. 1 (2023): June: Basic and Applied Science Vol. 11 No. 4 (2023): March: Basic and Applied Science Vol. 11 No. 3 (2022): December: Basic and Applied Science Vol. 11 No. 2 (2022): Sep: Basic and Applied Science Vol. 11 No. 1 (2022): June: Basic and Applied Science Vol. 10 No. 4 (2022): March: Basic and Applied Science Vol. 10 No. 3 (2021): December: Basic and Applied Science Vol. 10 No. 2 (2021): September: Basic and Applied Science Vol. 10 No. 1 (2021): June: Basic and Applied Science Vol. 9 No. 4 (2021): March: Basic and Applied Science Vol. 9 No. 3 (2020): December: Basic and Applied Science Vol. 9 No. 2 (2020): September: Basic and Applied Science Vol. 9 No. 1 (2020): June: Basic and Applied Science Vol. 8 No. 4 (2020): March: Basic and Applied Science Vol. 8 No. 3 (2019): December: Basic and Applied Science Vol. 8 No. 2 (2019): September: Basic and Applied Science More Issue