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All Journal KARMAPATI (Kumpulan Artikel Mahasiswa Pendidikan Teknik Informatika) ISSN: 2252-9063 Jurnal Ekonomi & Bisnis PNJ (JEKBIS PNJ) Jurnal Algoritma Seminar Nasional Informatika (SEMNASIF) Asia-Pacific Management and Business Application JUTIK : Jurnal Teknologi Informasi dan Komputer Jurnal Teknologi Informasi MURA MATRIK : Jurnal Manajemen, Teknik Informatika, dan Rekayasa Komputer Jutisi: Jurnal Ilmiah Teknik Informatika dan Sistem Informasi Progresif: Jurnal Ilmiah Komputer Jurnal Informatika dan Rekayasa Elektronik Syntax Idea EKONOMI BISNIS Jurnal Aplikasi dan Inovasi Iptek (JASINTEK) Jurnal Algoritma Jurnal Krisnadana Smart Techno (Smart Technology, Informatic and Technopreneurship) Jurnal Krisnadana Jurnal Teknologi Informasi Mura Jurnal Nasional Teknologi Informasi dan Aplikasinya
I Putu Satwika
STMIK Primakara
Aerospace Engineering Agriculture, Biological Sciences & Forestry Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Engineering Environmental Science Languange, Linguistic, Communication & Media Social Sciences Other

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Algoritma Stemming Dalam Bahasa Bali Menggunakan Pendekatan N-Gram I Putu Satwika; Helmy Syahk Alam
Smart Techno (Smart Technology, Informatics and Technopreneurship) Vol. 2 No. 2 (2020)
Publisher : Primakara University

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (372.477 KB) | DOI: 10.59356/smart-techno.v2i2.22

Abstract

Regional languages are one of the nation's heritage that must be preserved. According to the results of a survey conducted by UNESCO, 11% of the world's languages are found in Indonesia. The data obtained shows that 9 regional languages in Papua have become extinct and there are more than 50 regional languages that are threatened with extinction. Balinese is one of the regional languages in Indonesia and certainly has a threat of extinction. This study aims to create a stemming algorithm to be able to obtain basic words from affixed words in Balinese. Stemming is one of the most important algorithms needed in information-gathering and text-mining methods. The developed algorithm is an algorithm that initiates research in the fields of text-mining and information retrieval in Balinese. From the results of the research conducted, it is known that the approach using the n-gram analysis technique produces unsatisfactory accuracy. In this study an additional method was used by adding a dictionary to the algorithm designed by matching the basic words with the data in the dictionary. The results of the study show that this method can increase accuracy from 54% to 80% depending on the number of basic words in the dictionary
Analisis Kepuasan Wisatawan Terhadap Layanan Transportasi Online Untuk Mobilitas Pariwisata Dengan Metode Fuzzy Survqual (Studi Kasus Provinsi Bali) I Kadek Suyadnya; I Putu Satwika; Bagus Wahyu Putu Nirmala
Smart Techno (Smart Technology, Informatics and Technopreneurship) Vol. 4 No. 1 (2022)
Publisher : Primakara University

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (573.783 KB) | DOI: 10.59356/smart-techno.v4i1.55

Abstract

Development of technology and information in the modern era that is now sophisticated, the dissemination and receipt of information is now very easy for everyone to do. Technological advances have also led to trends in the use of information technology in various aspects and the media globally. One aspect of the use of this technology can be used in the field of tourism which is commonly referred to as smart tourism where in general smart tourism aims to develop infrastructure and information and communication capabilities in order to improve management/governance, facilitate service/product innovation, and improve the tourist experience.Bali Province is one of the most prominent provinces in Indonesia in the field of tourism where many tourists vacation in Bali. However, in the field of transportation, Bali does not yet have mass transportation that is connected throughout Bali. Because the problems that are not only in Bali, there is the use of technology with the existence of startups in the field of online transportation. This online transportation provider provides various services such as delivery, purchasing food, paying for tickets and others. The existence of online transportation is an alternative for tourists for their mobility, to evaluate the satisfaction of using this transportation, the Fuzzy Servqual method is used. Fuzzy Servqual measures per dimension attribute of service quality so that the accuracy of the data per dimension can be known.
Klasifikasi Chord Musik Menggunakan Gabungan Fitur Domain Waktu, Frekuensi, dan MFCC Ni Made Anita Widyastini; I Gede Arta Wibawa; I Putu Satwika
Jurnal Nasional Teknologi Informasi dan Aplikasinya Vol. 4 No. 2 (2026): JNATIA Vol. 4, No. 2, Februari 2026
Publisher : Informatics Department, Faculty of Mathematics and Natural Sciences, Udayana University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24843/JNATIA.2026.v04.i02.p10

Abstract

This study presents a chord classification system that combines audio features from three different domains: time, frequency, and Mel-Frequency Cepstral Coefficients (MFCC). The purpose is to improve the accuracy of identifying musical chords from audio signals, which often contain overlapping sounds and instrument variations. The dataset used consists of major and minor chord audio clips sourced from Kaggle. Each audio file undergoes preprocessing, including resampling and signal normalization, followed by feature extraction from the three domains. The extracted features are then merged into a single vector and classified using the Random Forest algorithm. The model is evaluated using accuracy, precision, recall, F1-score, and confusion matrix. Results show that the model performs well in detecting major chords (F1-score 0.83), but has lower recall for minor chords (F1-score 0.68). The overall accuracy is 77%, indicating that combining features from multiple domains enhances classification performance. This method shows potential for future development in audio signal analysis and music recognition systems.
Co-Authors A. A. Istri Ita Paramitha A. A. Putri Ardyanti A.A. Githa Bhasudewa Putra A.A.A. Putri Ardyanti Adi Istriawati, Ni Kadek Agung Raditia Putra Anak Agung Ayu Putri Ardyanti Anak Agung Ngurah Redioka Ariesta Agung Permana Putra Ary Setijadi Prihatmanto Astawa, Ni Luh Putu Ning Septyarini Putri Astuti, Intan Bagus Putu Wahyu Nirmala Bagus Wahyu Putu Nirmala Dewi Tresnawati Dharma, Eddy Muntina Dimitri Mahayana Dodi Wirawan Irawanto Dody Prasetyo Eka Grana Aristyana Dewi Gitajayanti, Ni Luh Dithiana Gst. Ngr. Rama Dewantara Putra Helmy Syahk Alam I Gede Adrian Edy Pratama I Gede Arta Wibawa I Gede Juliana Eka Putra I Gede Nyoman T.A. Panji Wijaksana I Gede Putu Krisna Juliharta I Gusti Agung Istri Siva Larasathi I Gusti Ayu Juniar I Gusti Bagus Arinata I Gusti Bagus Made Wiradharma I Gusti Lanang Agung Raditya Putra I Gusti Made Adi Putra I Gusti Ngurah Swala Putra I Kadek Mahada Putra I Kadek Suyadnya I Komang Dion Adi Saputra I Komang Suardiasa I Made Agus Apriliawan I Made Ananda Widiprabawa I Made Artana I Made Sume Mertha I Nyoman Yudi Anggara I Nyoman Yudi Anggara Wijaya I Putu Agus Priska Suryana I Putu Eko Wira Dharma I Putu Wahyu Angga Diputra I Wayan Darma Yasa I Wayan Darma Yasa I Wayan Sutrisna Yasa Ida Ayu Ratih Ardyantari Intan Astuti Istriawati, Ni Kadek Adi Karuna Sindu Dasa Ketut Queena Fredlina Komang Tri Werthi MADE PHARMAWATI Made Winardana Maria Atalya Angelus Leza Mudinillah, Adam Nengah Widya Utami Nengah Widya Utami Ni Gusti Agung Ketut Emayanti Ni Kadek Putri Indrayani Ni Komang Ary Yuliana Ni Komang Suastini Ni Luh Dithiana Gitajayanti Ni Luh Gede Devi Darnita Putri Ni Made Anita Widyastini Ni Made Estiyanti Ni Nyoman Sri Sulistiawati Ni Putu Anik Mentayani Ni Putu Widiani Ni Wayan Sudarningsih Novianti, Khusnul Rofida Pusvita Yuana Putri, Ni Luh Gede Devi Darnita Putu Agus Eka Putra Putu Agus Pradana Adi Putra Rifky Firmansyah Anwar Si Gede Ngurah Kerta Sanjaya Arya Jelantik Wayan Rimba Bazudewa Wayan Sutrisna William Alexander Vincent Wisnu Adhi Saputra Yasa, I Wayan Sutrisna Yomi Guno Yurina Anggela Oktaviana