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Journal : PELS (Procedia of Engineering and Life Science)

Cattle Disease Diagnosis Expert System in Bandes Village, Ainaro District Marito De Oliveira Amaral Barreto; Rina Dewi Indahsari
Procedia of Engineering and Life Science Vol 1 No 2 (2021): Proceedings of the 2nd Seminar Nasional Sains 2021
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (319.116 KB) | DOI: 10.21070/pels.v1i2.1009

Abstract

Most of the people in the Bandes village of Ainaro district work as breeders. Cows that are raised are beef cattle. One of the obstacles that exist in Bandes Village is the existence of a few veterinarians in Bandes Village. This research discusses an expert system for diagnosing diseases in cattle, which functions to help determine the disease that is being suffered by cattle, this system will display the results of the diagnosis in the form of the name of the disease, a description of the disease solution and its prevention. In this study there were 4 diseases studied and 7 symptoms. From the 4 disease data, isolation of the problem area, target decision and dependency diagram is made. After that the formation of IF – THEN rules, after the rules are made, the backward chaining process is made. So as to produce a solution to overcome disease in cattle. In program testing is done by comparing the results of the system with experts. In the trials that have been carried out, the results obtained are appropriate or the accuracy of the data and facts obtained from experts on cattle. So based on the results of tests that have been carried out on the system as much as 4 data, the accuracy value obtained is 100% accurate which shows that the expert system is functioning properly in accordance with the expert's diagnosis
Knowledge Base Design for Diagnosis Pregnancy Problems Farah Rifdah Arzumni; Rina Dewi Indahsari
Procedia of Engineering and Life Science Vol 1 No 2 (2021): Proceedings of the 2nd Seminar Nasional Sains 2021
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (303.874 KB) | DOI: 10.21070/pels.v1i2.1125

Abstract

In Indonesia, the death rate of pregnant women was still very high. Lack of knowledge about the perceived symptoms during pregnancy make pregnant women regardless of the specific symptoms that can be harmful and disease records indicate the causes of indirect maternal death in pregnant. Moreover, the risk of pregnant mother mortality is also higher due to the delay in taking the decision factors for referenced. Based on the fact, the proposed solution in the form of expert system diagnosis of diseases of pregnant women using the method of Backward Chaining that can help recognize diseases during pregnancy to take place based on the perceived symptoms of pregnant women as well as references that should be targeted by the patient. The methods of the Backward Chaining have a performance system that is capable of running the functional needs and high accuracy percentage results. With the existence of a system of experts on pregnancy problems that use the Backward Chaining method can describe the level of confidence of an expert on the problem at hand. Based on the test results, obtained results 100% functionality of disease diagnosis expert system of pregnant women worked in accordance with a list of system requirements and the system.
The Design of the SBMPTN Tryout System on the Official Website of the Tutoring Institute “Road to PTN” Lalu Ryan Ravisafitra; Rina Dewi Indahsari
Procedia of Engineering and Life Science Vol 1 No 2 (2021): Proceedings of the 2nd Seminar Nasional Sains 2021
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (534.281 KB) | DOI: 10.21070/pels.v1i2.1126

Abstract

The design of the Road to PTN Tutoring Institution official website serves to assist students in preparing for the SBMPTN, as well as complete information from Road to PTN’s social media; LINE, Instagram, Youtube and Twitter. On the website that is built there are several main features, those are simulation, a user can buy a tryout class by filling up the balance (top up) using a bank ATM, the user can also download the test results, see the rank results, and get the results of the talent interest analysis. Several predictions of campus rank and department are displayed in the premium tryout class including the leaderboard rank profile (top 10). Beside that there is information on the article menu which contains tips and motivation. Issues published are made via the admin dashboard including confirmation of user activity. In the tests carried out on the Road To PTN official website, users can use all the available features including, login, create an account, set up accounts, fill in balances, withdraw balances, perform simulations, view rank results, download test results and create articles or read articles. And the admin has been able to process the data on the website. This is evidenced by the results of user testing functional testing and admin functional testing which results in all features being successfully used as expected.