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All Journal International Journal of Electrical and Computer Engineering Seminar Nasional Aplikasi Teknologi Informasi (SNATI) Jurnal Ilmiah Informatika Komputer Jurnal Ilmiah Teknologi dan Rekayasa Prosiding KOMMIT Prosiding PESAT Jurnal Ilmiah KOMPUTASI Electro Luceat Batoboh : Jurnal Pengabdian Pada Masyarakat JurTI (JURNAL TEKNOLOGI INFORMASI) The IJICS (International Journal of Informatics and Computer Science) Teknika International Journal of Engineering, Science and Information Technology MARAS : Jurnal Penelitian Multidisplin
Wahyu Kusuma Raharja
Gunadarma University
Arts Humanities Astronomy Automotive Engineering Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Industrial & Manufacturing Engineering Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Mathematics Mechanical Engineering Physics Public Health Social Sciences Transportation Other

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Journal : Jurnal Ilmiah Informatika Komputer

 1 
SIMILARITY MELODY ANALYZING USING THE EARTH MOVER'S DISTANCE Kusuma, Wahyu
Jurnal Ilmiah Informatika Komputer Vol 14, No 2 (2009)
Publisher : Universitas Gunadarma

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

In music information retrival system, queries are generally in the text form information, such as song title,singer name, song or composer. Beside that queries can also be a music signal or signal vocal (vocal melody)like singing, humming of a part song. This objective of the research is to analyze the vocal melody as similaritiesvocal melody for query data with melody as the target data. Similarities method used is the Earth MovingDistance (EMD). To analyze the similarities accuration, so in this research needs to be done melody processrepresentation through segmentation method with detection onset. Melody representation generated in theformat of onset time, pitch intervals, and time ratio of interval onset. In onset detection, signal goes throughfiltering process, rectification, the formation of the signal contours, gradient detection, and the selection signalabove the threshold value. Onset positions are used for signal segmentation, so that each segment contains onlyone note. Furthermore, each segment goes through the pitch exploration by frequency analysis with Fouriertransformation and pitch estimation with a fundamental frequency distribution approach.Based on results of distance value test used the EMD distance values, can be determined rank value and themean reciprocal rank (MRR). Tests conducted on 30 query data (sing and hum) with 30 data document (piano)so obtained MRR values equal to 0479. In the performance calculation in rank-6 performance on theperformance obtained equal to 93.3%. Test results show the accuracy similarities and retrival systemperformance using EMD was good.Keywords: extraction, representationf melody, similarities, music information retrivalCategories: H.5.Information Interface and Presentation | H.5.5.Sound and Music Computing | Signal Analysis,Synthesis, and Processing
RANCANG BANGUN APLIKASI CSV CONVERTER UNTUK PEREKAMAN FAKTUR PAJAK Ninda Kusumayani; Wahyu Kusuma Raharja
Jurnal Ilmiah Informatika Komputer Vol 28, No 1 (2023)
Publisher : Universitas Gunadarma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35760/ik.2023.v28i1.8321

Abstract

Efaktur adalah faktur pajak yang dibuat melalui aplikasi atau sistem elektronik yang disediakan oleh Direktorat Jenderal Pajak (DJP). Proses perekaman data faktur pajak di dalam aplikasi ini masih dapat dikembangkan dengan mempercepat proses pemasukan data faktur dengan cara pemindaian QR code. Penelitian ini bertujuan untuk menghasilkan aplikasi  CSV Converter yang dapat mengkonversi QR code menjadi file CSV yang selanjutnya digunakan untuk perekaman faktur pajak. Langkah penelitian diawali tahap analisis kebutuhan data, perangkat keras, dan perangkat lunak. Selanjutnya dilakukan perancangan UML, database, struktur navigasi dan form-form tampilan. Tahap Pengimplemtasian code program menggunakan  bahasa pemrograman PHP, HTML dan java script. Tahap akhir penelitian adalah pengujian fungsionalitas dan pengujian penerimaan pengguna. Hasil penelitian ini berupa aplikasi yang telah diunggah ke jaringan internet dengan alamat Efaktur/holes/home.php. Aplikasi ini tersusun atas lima menu yaitu Halaman Utama, Scan QR Code, Scan QR Code Reader, Scan Webcam, dan Convert to CSV. Berdasarkan hasil pengujian penerimaan pengguna terhadap 10 responden diperoleh kehandalan dari kategori tampilan sebesar 92,5 %, kategori kemudahan sebesar 95%, kategori Ketepatan sebesar 97,5%, dan katagori kegunaan sebesar 90,8%.
Co-Authors Abdul Hanif Al Baaits Affandy, Idris Agustian Rizal Ambary, Ilham Muarif Andy Susanto Angga Maulana Any K. Yapie Ardi Reda Madani, Heru Galang Bagas Santoso Chasannatun, Fida Dede Herman Suryana Dewi Miranti Wijaya, Dewi Miranti Eriza Siti Mulyani Freddy Artadima Silaban Glenn Natanael Sofian Intan Ayuni Jalinas Karjadi, Mochamad Kennedy Muhammad Oka Suhilman Muhammad Oka Suhilman Ninda Kusumayani Prajudi William Chrisdeardo Prajudi William Chrisdeardo Putra, Ilham Tejana Ramadhani, Zahra reisditama ramadhon Risdiandri Iskandar Sendy Frandika Setiyo Budiyanto Setyansah, Rezaa Kusuma Sumeni, Murti Tika Erista Varesa Bunga Odielia