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3 hasil
Penulis: Christina
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PERBANDINGAN IMPLEMENTASI METODE WEIGHTED MOVING AVERAGE DAN METODE SINGLE EXPONENTIAL SMOOTHING PADA PENENTUAN PERSEDIAAN OBAT

2022•Artikel Penelitian dan Pengabdian

Pharmacy is a business-oriented business which directly sells medicines to consumers. In ensuring that the drug supply is in accordance with market demand, the leadership of the Hasanah Palangka Raya Pharmacy usually estimates the drug supply for the future period based on sales reports and experience. For research purposes, it will provide a solution by developing Forecasting Applications by applying the Weighted Moving Average method with weights 2, 3, 4, 5, 6, 7, 8 and 9 periods and the Single Exponential Smoothing method with constant smoothing or (alpha), namely 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8 and 0.9. The results of the study resulted in the Weighted Moving Average method as the method that has the smallest Error value where from the 4 drugs that were used for forecasting, 3 drugs showed the Weighted Moving Average method as the best method which has the smallest Mean Absolute Deviation value and the smallest Mean Absolute Percentage Error value compared to Single Exponential Smoothing.

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APLIKASI RESEP MASAKAN BERBASIS ANDROID

2021•Artikel Penelitian dan Pengabdian

Cooking Recipe is a culinary element that often attracts culinary lovers. A cooking recipe is a guidance for preparing the ingredients, how to cook and serve the dish. The collection of recipes which documented in the printing media have not been able to meet the needs of culinary lovers with high mobility. This study aims to develop an Android-based recipe application to meet the culinary lovers need of a technology for storing recipes collection that can be accessed easily. We apply the  Luther multimedia development method, which consists of the concept, design, material collecting, assembly and testing phases. The Android platform will provide the recipe application features, and the website platform will provide the content management features for managing the contents in the recipe application. The result of black box testing on the application shows that the features in the recipe application perform according to the expected concept and design. For the future research, to improve the application performance, we will build social media features for the members and a data mining system for processing big data from the recipe collection to produce valuable information.

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Mendeteksi Plagiarism Pada Dokumen Proposal Skripsi Menggunakan Algoritma Jaro Winkler Distance

2018•Artikel Penelitian dan Pengabdian

The practice of plagiarism among students in working on their thesis might happen. Plagiarism is done considering to the limited workmanship and lack of motivation to try with their own ability. It is necessary to provide a tool to prevent the act of plagiarism among the students. In this research, we built an application to detect the plagiarism on the thesis proposal. The application applies the Jaro Winkler Distance algorithm to detect the similarity from several documents. The first phase to detect the similarity of the thesis proposals is The text preprocessing phase of the document such as case folding, tokenizing,  stopwords removal and stemming. Precision and Recall formula will be used to analyze the performance of the method in application. The test result of the data set shows the application could find the 80% relevant data that indicated the similarity. It means the application could contribute to detect the plagiarism on the thesis proposal document.

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