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All Journal Indonesian Journal of Electronics and Instrumentation Systems IJCCS (Indonesian Journal of Computing and Cybernetics Systems) Seminar Nasional Aplikasi Teknologi Informasi (SNATI) JUITA : Jurnal Informatika JURNAL INTEGRASI JURNAL MEDIA INFORMATIKA BUDIDARMA Jurnal Tekno
Yohanes Suyanto
Universitas Gadjah Mada
Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Industrial & Manufacturing Engineering Other

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Journal : Indonesian Journal of Electronics and Instrumentation Systems

 1 
Perbandingan PSNR, Bitrate, dan MOS pada Pengkodean H.264 Menggunakan Metode Prediksi Temporal Ari Haryadi; Yohanes Suyanto
IJEIS (Indonesian Journal of Electronics and Instrumentation Systems) Vol 2, No 2 (2012): October
Publisher : IndoCEISS in colaboration with Universitas Gadjah Mada, Indonesia.

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (562.636 KB) | DOI: 10.22146/ijeis.2435

Abstract

AbstrakStandar pengkodean H.264/AVC merupakan hasil perumusan Joint Video Team (JVT), H.264/AVC didesain untuk menjawab kebutuhan akan tingkat kompresi yang tinggi maupun untuk dapat diimplementasikan pada berbagai aplikasi. Pada tugas akhir dilakukan perbandingan nilai PSNR, bitrate, dan MOS untuk masing-masing video dengan karakteristik yang berbeda.. Penelitian ini dilakukan menggunakan software referensi pengkodean video JM18.3. Hasil pengujian video foreman, hall, news, waterski, carphone, dan lobby, bitrate yang dihasilkan untuk setiap sequence pada setiap Quantization Parameter (QP) dipengaruhi oleh karakteristik sequence. Untuk hasil pengujian PSNR, diperoleh kesimpulan bahwa semakin besar nilai Quantization Parameter akan menghasilkan PSNR yang semakin kecil. Berdasarkan penilaian ITU-T, untuk dapat mencapai kualitas excellent ( >37 dB), rata-rata nilai parameter kuantisasi yang memenuhi untuk keenam video tersebut berada pada QP 28..Kata kunci— H.264/AVC, bitrate, PSNR, prediksi temporal, interframe  AbstractH264 / AVC coding standard is developed by Joint Video Team (JVT), H.264/AVC was designed, either to meet the needs of high  compression level, or to be implemented on various application. This final paper compares Peak-to-peak Signal to Noise Ratio (PSNR), bitrate and Mean Opinion Score (MOS) for each videos with different characteristics using library JM 18.3. Tests result on foreman, hall, news, waterski, carphone and lobby videos show that the bitrate produced in each sequence for every Quantization Parameter (QP) is influenced by the sequence characteristics. As for PSNR, it is concluded that higher QP produces smaller PSNR. Based on ITU-T scoring for excellent quality (PSNR >37 dB), the quantization parameters of the evaluated videos that meet the standard are 28. Keywords—H.264/AVC, bitrate, PSNR, temporal prediction, interframe
Sintesis Suara Bernyanyi Dengan Teknologi Text-To-Speech untuk Notasi Musik Angka dan Lirik Lagu Berbahasa Indonesia Jonathan Jonathan; Yohanes Suyanto
IJEIS (Indonesian Journal of Electronics and Instrumentation Systems) Vol 10, No 1 (2020): April
Publisher : IndoCEISS in colaboration with Universitas Gadjah Mada, Indonesia.

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (473.052 KB) | DOI: 10.22146/ijeis.32131

Abstract

Singing is a work of art that can not be separated from human life. It then makes a research about develop the art of singing by technology will brings a useful impact for such a wide aspect of human life. This research is trying to synthesize singing voice with TTS (text-to-speech) technology, as it capability to produce sound with certain pronunciation at certain frequency of sound. Inputs that used in the system are texts of song in TXT format that contain the information of numbered musical notation and lyrics in Indonesian. These inputs will converted to a phonetic transcription, for then synthesize of song voice can done based on the transcription. In general, the system made successfully synthesize song voices with some feature that based on the convention of numbered musical notation. Based on 30 people of respondents, the song voice synthesized has 81.71% of accuracy with 6.24% of deviation standard. The syntax of song text also reputed as a user-friendly convention with only up to 3 times re-compilation done to synthesize 8 bar of song text by each of respondents without any error.
Sintesis Taganing Adaptif Menggunakan Metode Pitch Shifting by Delay-Line Based untuk Standardisasi Gondang Batak Toba Pasto Juni Ansen Malau; Yohanes Suyanto
IJEIS (Indonesian Journal of Electronics and Instrumentation Systems) Vol 10, No 2 (2020): October
Publisher : IndoCEISS in colaboration with Universitas Gadjah Mada, Indonesia.

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/ijeis.37659

Abstract

This research using pitch shifting by delay line based method which consist of two main stage. The first stage is called analysis stage (framing, windowing, pre-emphasis and de-emphasis and FFT) that can detect the value of fundamental frequency of each taganing’s gendang. Then, this fundamental frequncy from each gendang will be classified into keyboard tones. The second one is called synthesis stage that will process the fundamental frequency become a new desire signal by creat an upward pitch change or a downward pitch change by delay line based method. Result of this research is created new signals as standard tones of each taganing’s gendang. The evaluation of synthesis output is using comparation method between fudamnetal frequency value of signal output as result of synthetis stage and the fundamental frequency value of keyboard standard’s tone. From the results of the system, it can be concluded  that taganing synthesis tone have  98.87% accuration rate.
Music Genre Identification Using SVM and MFCC Feature Extraction Septian Yogi Yehezkiel; Yohanes Suyanto
IJEIS (Indonesian Journal of Electronics and Instrumentation Systems) Vol 12, No 2 (2022): Oktober
Publisher : IndoCEISS in colaboration with Universitas Gadjah Mada, Indonesia.

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/ijeis.70898

Abstract

 Indonesia  is a very diverse country because it has a vast territory and is occupied by millions of people from various tribe. Therefore, traditional music in Indonesia is also diverse because each region has its own culture and art.  In this study, the author used the Support Vector Machine(SVM) pattern recognition  to identify the Indonesian traditional music genre. This genre identification system is able to produce an accuracy of 83% using MFCC.Keywords : traditional music identification, Mel Frequency Cepstral Coefficient, Support Vector Machine.
Co-Authors Agus Sihabuddin Ahmad Ashari Amalia, Fadila Shely Ari Haryadi Ari Setiyani, Theresia Prima Fauzun Atabiq Isnain, Auliya Rahman Jonathan Jonathan Lasmedi Afuan MHD Theo Ari Bangsa Pasto Juni Ansen Malau Pawestri, Sheraton Riszki Wijayatun Pratiwi Sensa Gudya Sauma Syahra Septian Yogi Yehezkiel Sigit Priyanta Th. Prima Ari Setiyani Utami, Annisaa Yunita Sari