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Yupianti , Yupianti
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Computer Science & IT

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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

Abstract

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

Abstract

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

Abstract

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).
Co-Authors Astuti, Novi Edison Edison Elfianty , Lena Fobi, Ahmad Julcer Gultom, Victor Yonathan Hasan, David Wahyu Jumadi , Juju Liza Yulianti Prahasti, Prahasti Sander, Vobey Alex Siswanto , Siswanto