ThesisOpen AccessMetadata saja
•Skripsi, Thesis, Disertasi, dan Tugas Akhir
Pharmacies not only provide generic drugs, but many pharmacies are competing to provide a variety of drug variants, to make it easier for people to meet their needs. Pharmacies sehat insani Palangka Raya Not free from the problem of the risk of running out of stock of important drugs, because it prioritizes the stock of the same variant type of medicine in large quantities. This research aims to classify the behavior and non-performance of human health pharmacies. This study uses the Data Mining method with the Naive Bayes algorithm which will then be evaluated using a confusion matrix tool. The research also uses data collection methods (interviews and literature studies), carried out in Microsoft Office Excel software, and RapidMiner.
ThesisOpen AccessMetadata saja
•Skripsi, Thesis, Disertasi, dan Tugas Akhir
Cindy Adilla, C1955201070, 2022. Application of Inventory Classification Using the Fuzzy Inference System Method for the Central Kalimantan Province's Diskominfosantik, Supervisor I Lili Rusdiana M.Kom., Advisor II Rudini M.Pd. Inventory classification is needed in order to maximize the use of existing inventory and to support the fulfillment of needs according to conditions in the office. Fuzzy logic is an efficient solution for determining classification, because it has a function to provide problem-solving modeling like what humans do with the help of computer technology. The problem of this research is the process of implementing the Fuzzy Inference System Method into a website-based application system for inventory classification at the Communication, Informatics, Encryption, and Statistics Office of Central Kalimantan Province with the html and php programming languages. This research produces the output of inventory classification results, namely the need to add inventory, inventory in appropriate quantities, inventory available quite a lot. There are four variables used in this study, namely the amount of inventory, average use, waiting time, and users. This application also has a feature to generate inventory QR-Code and scan Inventory QR-Code on an android application made with kodular.io. Data collection techniques were carried out by means of observation, interviews, and library research. The application calculation accuracy is 100% the same as manual calculations and the accuracy of the results or the accuracy of the classification results is 61%. Keywords : Classification, FIS, Inventory, QR-Code
ThesisOpen AccessMetadata saja
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Masalah dari UMKM adalah belum terklasifikasinya dengan baik, misalnya berkembang atau tidak berkembang UMKM tersebut. Pada penelitian kali ini akan melakukan klasifikasi UMKM di Kota Palangka Raya. Dan Pengujian metode dengan menggunakan Tools Rapid Miner Studio. Atribut yang digunakan adalah Status Tempat Usaha, Sektor Usaha, Nilai Aset, Pendapatan Tahun 2020 dan Pendapatan Tahun 2021. Metode yang akan digunakan menggunakan metode Naive Bayes Classifier, yang merupakan teknik pengklasifikasian data mining. Berdasarkan penelitian yang dilakukan dihasilkan kesimpulan bahwa hasil pengujian conffusion matrix penggunaan metode naive bayes terhadap data latih yang telah diambil pada penelitian diperoleh tingkat hasil Accuracy 96%, Precision 100% untuk berkembang dan 63,64% untuk tidak berkembang, Recall 95,70% untuk berkembang dan 100% untuk yang tidak berkembang. Sedangkan hasil pengujian conffusion matrix terhadap data uji diperoleh tingkat Accuracy 70%, Precision 88,89% untuk berkembang dan 54,55% untuk tidak berkembang dan Recall 61,54% untuk berkembang dan 85,71% untuk tidak berkembang
