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The Implementation of Data Mining to Get The Pattern for Selecting Students' Thesis Title Sander, Vobey Alex; Yulianti, Liza; Yupianti , Yupianti
Jurnal Komputer, Informasi dan Teknologi Vol. 1 No. 2 (2021): Desember
Publisher : Penerbit Jurnal Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53697/jkomitek.v1i2.200

Management Study Program is one of the study programs at the Faculty of Economics, The University of Dehasen Bengkulu. Every academic year, students who have fulfilled the credits or are in semester 6 or 7, submit a file for submission of titles to the staff of the study program, then the Head of Study Program will check related to the title submitted, if possible and in accordance with the disside of science, the title is issued will approved and the study program will appoint supervisor 1 and supervisor 2 from the student concerned. The application of the pattern for selecting students’ thesis titles at the Management Study Program, Faculty of Economics, The University of Dehasen Bengkulu was made using the Visual Basic .Net programming language and SQL Server 2008r2 database. In the application, the Levenstein Distance Algorithm has been applied to the new title submission form, where a comparison will be made against previously accepted titles that have been stored in the database. The title is accepted if the similarity level is below 50%, while the title is Rejected if the similarity level is above 50%. Based on the trial for submitting a new title, the application is able to provide information on whether the title is accepted or Rejected based on the Levenstein Distance Algorithm approach. Based on the results of the tests that have been carried out, the functionalities of the application run as expected and the application is able to display the results of the analysis through the stages of the Levenstein Distance Algorithm for the submission of new titles.

Application of the K-Means Method in Determining the Clustering of the Economic Status of the Villagers of Gunung Megang Edison, Edison; Yupianti , Yupianti; Elfianty , Lena
Jurnal Komputer, Informasi dan Teknologi Vol. 1 No. 2 (2021): Desember
Publisher : Penerbit Jurnal Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53697/jkomitek.v1i2.230

Gunung Megang Village is one of the villages located in Semidang Alas District, Seluma Regency. Every year the Village Head will record the population for data archiving and reporting, where the process has utilized a computerized system, namely by using office applications. However, the current population data collection only records the number of residents in Gunung Megang Village (data attached), so it cannot find out population information based on economic status. Economic status is the position of a person or family in society based on monthly income. However, the economic capacity of each community is different, some have a high economic status and some have a low one, this is seen in terms of income and expenditure. The application for determining the clustering of the economic status of the residents of Gunung Megang Village was made using the Visual Basic .Net programming language and SQL Server 2008 Database by applying one of the data mining methods used, K-Means. The grouping is based on data on the economic status of the residents of Gunung Megang Village (data attached) which is divided into 3 clusters, namely Cluster 1 (High), Cluster 2 (Medium) and Cluster 3 (Low). With this application, it is hoped that it can help the Gunung Megang Village Office in finding out information on the economic status of the population. Based on the tests that have been carried out, the functionality of the application for determining the clustering of the economic status of the residents of Gunung Megang Village is running as expected, and the application is able to provide information on the grouping of data on the economic status of the residents of Gunung Megang Village.

Implementation of the Turbo Boyer Moore Algorithm in Searching Medical Record Data Gultom, Victor Yonathan; Yupianti , Yupianti; Prahasti, Prahasti
Jurnal Komputer, Informasi dan Teknologi Vol. 1 No. 2 (2021): Desember
Publisher : Penerbit Jurnal Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53697/jkomitek.v1i2.284

The Patient Medical Record Data Search application is used to assist the Bintunan Air Treatment Health Center in finding medical record data with faster time efficiency, where so far the search is still done manually by looking at the books. The Patient Medical Record Data Search application is used to assist the Puskesmas in managing patient data, doctor data and patient medical record data every time for treatment, so that the processed data is stored in the application database. Applications for Searching Patient Medical Record Data at the Bintunan Air Treatment Health Center have implemented one of the search algorithms, namely the Turbo Boyer Moore algorithm, where the search process is carried out per string / word through a shift in data matching between keywords and data in the database. Based on the results of black box testing, the functionality of the Patient Medical Record Data Search Application at the Bintunan Water Treatment Health Center has been running properly and is able to display medical record search results using the Turbo Boyer Moore Algorithm.

Comparative Analysis of Linear Regression Method with Weighted Moving Average in Goods Sales Forecasting Astuti, Novi; Yupianti , Yupianti; Prahasti, Prahasti
Jurnal Komputer Vol 1 No 1 (2022): Juli-Desember
Publisher : CV. Generasi Insan Rafflesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70963/jk.v1i1.11

Chandra Talo Building Store is one of the building shops located in Seluma Regency, Bengkulu Province. The store sells various kinds of building materials, from cement, paint, nails, wood, and others. So far, the management of data on materials, starting from recording inventory and selling goods, is still done manually through bookkeeping and notes, because there is no specific application that can help manage this data. The Goods Sales Forecasting Application at the Chandra Talo Building Store is built on an Android basis which can be accessed via an Android smartphone. The Goods Sales Forecasting application at the Chandra Talo Building Store was made in order to assist the Store in determining the amount of building materials to be restocked, by analyzing the time series on building material sales data that occurs every month which will produce a forecast or estimate of the amount of building materials to be restocked. Based on a comparative analysis of the Linear Regression Method and the WeightMovingAverage Method through the MAPE Method and the MSE Method, the results of the Linear Regression Method have a smaller error value than the WeightMovingAverage Method. Based on the system testing that has been done, it can be concluded that the functionality of the goods sales forecasting application at the Android-based Chandra Talo Building Store has been running well and can provide output reports on the results of forecasting sales of goods.

Rubeola Diagnostic Expert System Using Certainty Factor Method Hasan, David Wahyu; Siswanto , Siswanto; Yupianti , Yupianti
Jurnal Komputer Vol 1 No 1 (2022): Juli-Desember
Publisher : CV. Generasi Insan Rafflesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70963/jk.v1i1.12

So far, the puskesmas has not fully implemented information technology in it, due to the limited facilities and infrastructure used, so that all patients who wish to seek treatment must come more to get a registration number for treatment. This happens because the number of doctors at the puskesmas is not proportional to the number of patients who wish to seek treatment at the puskesmas, so that a limit is imposed on the number of patients seeking treatment every day. The application of an expert system for diagnosing rubeola disease at the Beringin Raya Nursing Health Center in Bengkulu City was created to assist the puskesmas in diagnosing rubeola disease in patients based on the symptoms experienced by the patient. In the process of diagnosis, the expert system application has applied the Certainty Factor Method which is used to obtain the percentage level of certainty for the rubeola disease. The application of an expert system for diagnosing rubeola disease at the Beringin Raya Health Center in Bengkulu City was made using the Visual Basic.Net programming language. Based on the results of the tests that have been carried out, the functional application of the expert system for diagnosing rubeola disease at the Beringin Raya Treatment Health Center in Bengkulu City is running well as expected and can provide information on the results of consultations to determine rubeola disease

Implementation Of The Monte Carlo Method For Predicting New Student Enrollment At SMK Negeri 7 Bengkulu City Fobi, Ahmad Julcer; Yupianti , Yupianti; Jumadi , Juju
Jurnal Komputer Indonesia Vol. 4 No. 2 (2025): Desember
Publisher : LPPJPHKI Universitas Dehasen Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37676/jki.v4i2.989

The purpose of this study is to apply the Monte Carlo method in predicting the number of new student enrollments at SMK Negeri 7 Bengkulu City. The very rapid development of technology and information in the current era provides many benefits that can help and facilitate human work, one of which is in the field of prediction. Techniques in making predictions or estimates are a very important medium in carrying out appropriate planning in the fields of business, education, economics and other fields with the aim of making decisions as a basis for strategies to improve the quality and quantity of an institution or organization, both private and government. SMK Negeri 7 Bengkulu City is one of the State Vocational High Schools in Bengkulu City, every year SMK N 7 Bengkulu City carries out the process of accepting new students. New Student Admissions (PPDB) is the initial process in teaching and learning activities. Currently, the problem that occurs in PPDB is the failure to achieve the quota of students who register, resulting in many empty seats. The research method used by the author is the system development method. The results of this study are that the application for predicting the number of new student enrollments using the Monte Carlo method has been successfully implemented and predicts the number of new student enrollments based on the chosen major. Second, to predict the number of new student registrations, a Monte Carlo prediction model was first created or formed. Third, by using this Monte Carlo method, SMK Negeri 7 Kota Bengkulu can evaluate and predict the number of new student registrations which can be used to make preparations such as classroom equipment, laboratory equipment, procurement of stationery and human resources (teachers and teaching staff).

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