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All Journal International conference on Information Technology and Business (ICITB) Prosiding Seminar Nasional Darmajaya
Artaye, Keut
Prosiding Seminar Nasional Darmajaya
Computer Science & IT Economics, Econometrics & Finance Education

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Media Pembelajaran Geguritan Bali Berbasis Android Artaye, Keut; Wijane, Komang
Prosiding Seminar Nasional Darmajaya Vol 1 (2018): SEMNAS IIB DARMAJAYA
Publisher : Prosiding Seminar Nasional Darmajaya

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Abstract

Geguritan merupakan salah satu bentuk dari karya sastra tradisional Bali klasik. Geguritan berbentuk puisi yang dapat dinyanyikan dalam berbagai tembang yang disebut dengan pupuh. Pupuh adalah bentuk lagu yang terikat oleh pada lingsa. merupakan sebuah tembang macepat yang berarti membaca syair tembang atas empat suku kata yang memiliki kisah atau makna. Geguritan terdapat dalam matakuliah jurusan pendidikan agama Hindu pada Sekolah Tinggi Agama Hindu Lampung. Namum, dewasa ini kesenian tembang khususnya pupuh kurang diminati oleh anak-anak dan remaja. Selain karena pelajaran metembang hanya berbobot 2 sks pada mata kuliah geguritan, materi yang memaparkan pupuh juga sedikit. Berdasarkan hal tersebut dibutuhkan media pembelajaran yang efektif dan sesuai perkembangan zaman baik bagi mahasiswa dalam menunjang proses perkuliahan maupun masyarakat umum.Kata kunci: Geguritan, Media Pemblajaran, Mobile
IMPLEMENTATION OF NAIVE BAYES CLASSIFIER ALGORITHM FOR DETERMINING CUSTOMERS’ BUYING INTEREST ON SOFA (A CASE STUDY IN BAYAU KELUMER FURNITURE) Artaye, Keut; Suharta, Kevin Moniaga
Prosiding International conference on Information Technology and Business (ICITB) 2018: INTERNATIONAL CONFERENCE ON INFORMATION TECHNOLOGY AND BUSINESS (ICITB) 4
Publisher : Prosiding International conference on Information Technology and Business (ICITB)

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Abstract

Interest is the personal intention and related to attitude.Individuals who are interested in objects have strength and desires to approach or posses the objects. Consumers’ buying interest can be seen from many aspects. One of the aspects is sales. Sales are the important element in marketing divisions of a company to obtain more profits in order to continue the businesses. Kelumer Bayau  is the company engaged in marketing and selling sofas with 8-year experience. Kelumer Bayau has a high quality with very competitive prices. The formulation of this research was how Kelumer Bayau predicted or determined the customers’ buying interest on the sales of furniture based on recorded data. The prediction was based on the owners’ decision to determine a number of goods provided by the company and to avoid the a large quantities of goods. Therefore, the objective of this research was predicting and determining the customers’ buying interest using Naive Bayes Clasification algorithm through data mining techniques. This research used training and testing data about sofa sales for the last 3 years with the several variables i.e., types, colors, sizes, motifs and prices.Keywords: Prediction, Naive Bayes Classification, Sofa
Co-Authors Suharta, Kevin Moniaga Wijane, Komang