In this paper, we present Latent Drichlet Allocation in automatic text summarization to improve accuracy in document clustering. The experiments involving 398 data set from public blog article obtained by using python scrapy crawler and scraper. Several steps of clustering in this research are preprocessing, automatic document compression using feature method, automatic document compression using LDA, word weighting and clustering algorithm The results show that automatic document summarization with LDA reaches 72% in LDA 40%, compared to traditional k-means method which only reaches 66%.
Aim of this study is designing a method for automatic gamelan music composition using rule-base expert system approach. The program is designed for non-expert user in order to help them composing gamelan music or analyzing their composition to achieve explanation and recommendation of ideal composition. There are 2 essential components in this method, which are knowledge and inference. Knowledge is represented into basic knowledge and melodic knowledge. Basic knowledge contains rules that control the structure of gamelan song, and melodic knowledge supports system in composing or analyzing notations sequence that fit the characteristics of melody in gamelan music. Basic knowledge represents basic rules of gamelan music that have quantitative value, so deterministic approach is used for basic knowledge acquisition. Melodic knowledge consists of dynamic data, so stochastic approach is used to create the melodic knowledge base. The rules of composing and analyzing a composition are defined based on basic knowledge and melodic knowledge. The inference engine is designed to compose and analyze a composition. Automatic composition for gamelan music is proposed using Generate and Test method (GAT) with random technique, and composition analysis is proposed using backward chaining method
Many application developed to help people get information about BRT (Bus Rapid Transit) Trans Semarang. However, the existing application felt less effective and unable to provide what user need. So we proposed a prototype of android based application which able to provide information about BRT Trans Semarang in an effective ways. The developed system contains two application, that is driver side application and user side application. The reason for using Firebase Realtime Databse is because of every data changes in database it will synchronize to the user automatically without waiting user to refresh or reload the application. Our proposed method is well designed and implemented and succeed to provides what user need which proved by a user acceptance test
Gamelan is a traditional music ensemble from Java, Indonesia, whose melody has characteristics that make the melodic sound of gamelan music easy to recognize. This research aims at building melodic feature knowledge of gamelan music in terms of note sequences rules. The algorithm called AFiS (Apriori based on Functions in Sequence) was also introduced to produce rules by mining the frequent value of note sequences. The basic idea of the AFiS algorithm is to define functions in a sequence, and then to chain the functions based on its position order to identify the support value for each function. The implementation of AFiS algorithm is aimed to define rules of gamelan music melodic feature in terms of ideal note sequences for composition. The evaluation of the accuracy of the note sequences rules is conducted by developing a recommendation system using rules defined in this research. The program is expected to answer correctly to some notes randomly deleted from the sequences. The result shows that the accuracy of the knowledge, and that the note sequences rules of gamelan music based on the correct answer is up to 86.5%. Another evaluation is to find whether the different answers given by the program are accepted as alternative notes to the original notes. This evaluation involved 4 human experts to describe their acceptance of the alternative notes based on the different answers. The result shows that the different notes in 4 of 5 gendings are accepted by the experts as alternative notes.
ABSTRAKPenentuan kualitas biji kopi pada dasarnya memerlukan keahlian dan pengecekan terhadap biji kopi yang membutuhkan waktu tidak sedikit dalam menentukannya. Kriteria penentuan kualitas biji kopi sebelumnya sudah diatur dalam skala internasional. Dalam menentukan kualitas biji kopi didalam skala nasional tiap-tiap instansi mempunyai kriteria tersendiri dalam menentukan kualitas biji kopi yang tentunya juga mengacu pada kriteria penentuan kualitas biji kopi skala internasional. Sebagai salah satu perkebunan yang ada di Indonesia, perkebunan kopi Gunung Kelir Jambu Semarang tentu menggunakan penentuan kualitas dalam memproduksi biji kopi. Dimana kriteria yang digunakan adalah nilai kadar air, nilai cacat biji, dan ketinggian lahan dimana kopi tersebut ditanam. Dengan penentuan kualitas biji kopi arabika dengan kriteria kadar air, cacat biji dan ketinggian lahan pada Perkebunan Kopi Lereng Gunung Kelir Jambu Seamrang, pada peneitian ini menggunakan metode AHP. Dimana metode AHP dapat menghasilkan output berupa perangkingan yang dihitung berdasarkan input dan nilai bobot yang mana nilai bobot tersebut dapat disesuaikan dengan penentuan kriteria yang akan diterapkan. Hasil dari penelitian berupa suatu aplikasi yang dapat menentukan kualitas biji kopi dengan input kadar air, cacat biji, dan ketinggian lahan dengan menggunakan metode AHP (Analytical Heirarchy Process).Kata kunci: kopi arabika, kualitas, analytical hierarchy process. ABSTRACT Determination the quality of arabika coffee beans basically requires expertise and checks on coffe beans that require time not a bit in determining it. The criteria for determining the qualiy of the previous beans have been arranged on an international scale. In determining the quality of cpffe beans on national scale each agency has its own criteria in determining the quality of coffe beans. As on of the existing plantations in
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