STMIK KHARISMA Makassar has graduated thousands of alumni since it was founded. However, the number of students registering is uncertain every year, although from 2016 to 2019 there has been an increase in the number of registrations. The problem is the percentage of the number of prospective students registering has actually decreased significantly. The purpose of this research is to implement the Naive Bayes theory in classification of STMIK KHARISMA Makassar prospective students. This research basically uses the Naive Bayes theory as a classifier, and is made using the Python programming language. At the classifier design stage, there were a total of 499 data collected from 2016 to 2019. The data was divided by a ratio of 80:20 for training data and test data. The result from the research indicate the level of accuracy of the classifier reaches 73%.

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LPGO merupakan aplikasi belanja online gas elpiji di Kota Makassar tetapi informasi yang disediakan aplikasi kepada pengguna masih minim. Dengan di bentuknya website MyLPGO dapat membantu pengguna dalam mengenal aplikasi LPGO lebih baik. Website MyLPGO menyediakan informasi berupa mitra LPGO, kegunaan aplikasi, pusat bantuan, dan sebagainya. Namun, dikarenakan website MyLPGO masih dalam kategori baru dalam masyarakat sehingga perlu dilakukan penelitian untuk menganalisa kepuasan pengguna di Kota Makassar mengenai website yang telah disajikan. Dengan metode Webqual 4.0 yang dikembangkan oleh Stuart Barnes dan Richard Vidgen dapat digunakan untuk mengukur kepuasan pengguna dengan tiga variabel utama yang diteliti yaitu kualitas kegunaan, kualitas informasi, dan kualitas interaksi. Berdasarkan hasil pengumpulan data menggunakan kuesioner dengan total responden 83 orang dan pengujian data dengan regresi linear berganda menggunakan SPSS 25, didapatkan bahwa kualitas informasi dan kualitas interaksi berpengaruh positif terhadap kepuasan pengguna tetapi kualitas kegunaan tidak berpengaruh positif terhadap kepuasan pengguna. Sehingga pihak pengembang perlu lebih memperhatikan tampilan website yang disajikan agar tampak lebih profesional dan aktivitas dalam website dapat lebih ditingkatkan. Penelitian ini berfokus kepada kualitas website MyLPGO yang dirasakan oleh pengguna dan hal apa saja yang perlu dipertimbangkan pengembang untuk meningkatkan kepuasan pengguna.

The problem at PT. TMCI is that the lab part is still confused in determining the quality of some cocoa beans, because there is no average calculation. So that the quality of cocoa depends only on the specified parameters, and the moisture content, the count of cocoa beans as the first determinant of quality. The purpose of this study is to make a decision model in a decision making with the Multidimensional Scaling method, and a decision support system as a decision maker in determining the quality of cocoa beans, and implementing a decision support system and calculation of MDS metrics with several parameters, namely based on moisture content, moudly, broken beans, weight of waste, number of cocoa beans and flat cocoa beans. Then apply the MDS method in an Android-based application system, so that from the calculation results can determine which quality is good and which will be mixed again. Data collection is done by observing conditions directly, and conducting interviews. From the results of testing implementation, interviews and testing applications, that the application works properly when used. In terms of appearance and function the application can help the lab and the owner at the time of supplying supplier data. So it was concluded that this application could be well received and answer the problems of the lab and the owner.