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Comparative Analysis of Certainty Factor Methods and Dempster Shafer Methods in Pest Management in Hydroponic Vegetables (Case Study: Celebes Hydroponics Bengkulu) Handayani, Elya; Asnawati, Asnawati; Suryana , Eko
Jurnal Komputer, Informasi dan Teknologi Vol. 2 No. 1 (2022): Juni
Publisher : Penerbit Jurnal Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53697/jkomitek.v2i1.785

Celebes Hydroponics is one of the hydroponic vegetable cultivators in Bengkulu City. At Celebes Hydroponics, there are various kinds of hydroponic vegetables grown, namely Pakcoy, Sawi, Kailan, Kale, Pagoda, Lettuce, Spinach, Kangkung, and others. So far, the handling of hydroponic vegetable pests has been carried out by employees at Celebes Hydroponics with the direction of expert cultivators (the owner of Celebes Hydroponics). However, problems occur when expert cultivators are not available when pests attack hydroponic vegetables. This makes it difficult for employees to handle these pests because so far they have always received guidance from expert cultivators. The expert system for controlling pests on hydroponic vegetables at Celebes Hydroponic Bengkulu is used to make it easier for employees to overcome problems faced by hydroponic vegetables, especially vegetable pests. This expert system was created using the Visual Basic .Net programming language which can be accessed by Celebes Hydroponic Bengkulu employees. This expert system application was created to help make it easier for employees at Celebes Hydroponics to identify pests that attack hydroponic vegetables by entering the symptoms experienced. Of course this will speed up handling when you know the pests that attack the hydroponic vegetables. Based on the tests that have been carried out, the functionality of the pest management expert system on hydroponic vegetables at Celebes Hydroponics Bengkulu runs as expected, and the application is able to display the results of pest diagnosis on hydroponic vegetables from the selected symptoms

Implementation of the Naïve Bayes Algorithm for Divorce Prediction at the Tais Religious Court Windarman, Windarman; Sapri, Sapri; Suryana , Eko
Jurnal Komputer, Informasi dan Teknologi Vol. 2 No. 2 (2022): Desember
Publisher : Penerbit Jurnal Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53697/jkomitek.v2i2.924

Divorce is the breaking up of a husband and wife relationship, because there is no match between the two. Divorce is basically the release of the bond between husband and wife. In Tais district, based on the Tais Religious Court Annual Report from 2017, 2018 and 2019 it was found that there was an increase in the divorce rate. Based on the divorce rate which continues to increase every year, it is necessary to have data in the form of data to determine the factors that influence divorce. The use of Naive Bayes is that this method only requires a small amount of training data (Training Data) to determine the parameter estimates needed in the prediction process. In this case, it is assumed that the presence or absence of a certain event from a group is not related to the presence or absence of other events. With a system to predict divorce, it can help users who want to know the prediction of divorce. Based on the tests that have been carried out using the Black Box Method, the results show that the functionality of the divorce data prediction application has run as expected and the application is able to display the prediction results of Divorce Lawsuit and Divorce Divorce

Application Of Fuzzy Logic In Umkm Recommendations Upgrade Using The Sugeno Method At The Cooperative Office Of The City Of Bengkulu Ristika, Ristika; Suranti , Dewi; Suryana , Eko
Jurnal Komputer, Informasi dan Teknologi Vol. 3 No. 2 (2023): Desember
Publisher : Penerbit Jurnal Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53697/jkomitek.v3i2.1489

The application of fuzzy logic in the recommendation of MSMEs to upgrade at the Bengkulu City Cooperative Office can help provide assessment results for MSMEs based on assessment criteria so that MSMEs are obtained that are upgraded feasible or not feasible. The Sugeno method will analyze MSME assessment data by looking at the number of workers, capital, and turnover of each MSME which will then calculate the z value in each rule where there are 54 rule compositions used so that the final value for each MSME can be known. Based on the blackbox testing that has been carried out, it is found that the functionality of the MSME recommendation application for upgrading at the Bengkul City Cooperative Service runs well as expected and is able to analyze MSME assessment data through the Sugeno Fuzzy Method to determine recommendations for MSME eligibility for upgrading..

Application of the Naive Bayes Method in Expert Systems for Diagnosing Gingivitis Fernando, Rendy; Suranti , Dewi; Suryana , Eko
Jurnal Komputer Indonesia Vol. 1 No. 2 (2022): Desember
Publisher : Universitas Dehasen Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37676/jki.v1i2.24

The number of program activities at the Beringin Raya Health Center in Bengkulu City is sometimes not proportional to the number of doctors in the puskesmas, so not all patients can have health consultations, especially about gingivitis. Gingivitis is a disease caused by a bacterial infection which causes the gums to swell due to inflammation. Therefore we need an application that can help the process of diagnosing gingivitis based on the symptoms experienced by the patient, so that the initial diagnosis experienced by the patient can be known. The expert system for diagnosing gingivitis at the Beringin Raya Nursing Health Center in Bengkulu City was made using the PHP programming language and MySQL database, which can be accessed online via the https://sistempakargingivitis.my.id/ link. The expert system for diagnosing gingivitis in the treatment of Beringin Raya, Bengkulu City, has implemented the Naive Bayes Method to represent, combine, and propagate uncertainty, which has several intuitive characteristics according to the way of thinking of an expert. The training data used is 11 data which is used as the basis for the probability value of each symptom in the disease to carry out a consultation diagnosis. Based on the consultation with the selected symptoms, namely G1, G2, G3 and G4, the diagnosis of Nonvital Teeth disease (Dead Teeth) was obtained with a bayes value of 0.2045454541875. Based on the system testing that has been done, it can be concluded that the functionality of the application has been running well and this expert system can provide consulting results based on the symptoms selected by the user through the stages of the Naive Bayes method

Application of the Forward Chaining Method in Building a Student Counseling Expert System at SMAN 03 Bengkulu City Adriansyah, David; Asnawati, Asnawati; Suryana , Eko
Jurnal Komputer Indonesia Vol. 1 No. 1 (2022): Juni
Publisher : Universitas Dehasen Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37676/jki.v1i1.26

Implementation of guidance and counseling in schools has a very important role in realizing students as individuals who are independent, responsible, creative and productive workers. Guidance and counseling for students is needed in making appropriate choices or to solve problems faced by students. The student counseling expert system at SMA Negeri 3 Bengkulu City was created to facilitate the counseling process for students in schools based on the problems and symptoms experienced by students. This expert system adopts the knowledge of the BK teacher, where there are 25 problems that often occur in schools. In the process of diagnosing the results of student consultations, the application will select the problems experienced by students, then choose the symptoms experienced by students, thus displaying the possible percentage level of the problem. The student counseling expert system at SMA Negeri 3 Bengkulu City was created using the Visual Basic .Net programming language. Based on the tests that have been carried out, the functionality of the student counseling expert system at SMA Negeri 3 Bengkulu City runs as expected, and the application is able to display the results of student counseling consultations through the possible percentage levels of problems and symptoms experienced by students.

Expert System Application to Diagnose Degenerative Diseases Using Methods Certainty Factor Imansyah, Dwi; Suranti , Dewi; Suryana , Eko
Jurnal Komputer, Informasi dan Teknologi Vol. 4 No. 2 (2024): Desember
Publisher : Penerbit Jurnal Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53697/jkomitek.v4i2.2097

Degenerative diseases are diseases that cause damage or destruction to body tissue or organs that arise due to a decrease in the function of one or more of the body's organs which are very susceptible to elderly people. Considering the large negative impact of degenerative diseases, it is necessary to prevent or seriously treat the dangers of degenerative complications. Efforts to minimize this danger can be made by increasing public awareness about things that can cause degenerative diseases. Therefore, we need a system that can help as an alternative to consulting a doctor for the general public. Therefore, this expert system was built using the Certainty Factor method which can be used as a solution in using an expert system to diagnose this Degenerative disease. In its application, the certainty factor method can provide a percentage level of confidence in a disease, if the user has or selects symptoms so that they can determine the type of disease they are suffering from. Based on the tests carried out, it can be concluded that this expert system application can be used by users to make an early diagnosis of degenerative diseases. This expert system can be accessed at the link www.sp_ Degenerative.com. Making it easier for users to consult.

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