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"docid": 320915, "rev_number": 2, "security": "staffonly", "uri": "http:\/\/eprints.amikom.ac.id\/id\/document\/320915", "language": "id", "eprintid": 31976, "formatdesc": "PUBLIKASI", "files": [ { "hash": "38c44a06b289b5ba6a25819bfdccc061", "objectid": 320915, "mime_type": "application\/pdf", "fileid": 1135529, "mtime": "2026-07-07 06:50:34", "datasetid": "document", "uri": "http:\/\/eprints.amikom.ac.id\/id\/file\/1135529", "hash_type": "MD5", "filesize": 1722175, "filename": "Publikasi.pdf" } ], "placement": 9, "format": "text" } ], "contributors": [ { "name": { "honourific": null, "lineage": null, "family": "Setiaji", "given": "Bayu" } } ], "subjects": [ "000.000.000A" ], "rev_number": 15, "institution": "Universitas AMIKOM Yogyakarta", "keywords": "Audio, Analisis sinyal, Sinyal diskret, Processing, Java, Signal analysis, Discrete signal.", "lastmod": "2026-07-07 07:02:24", "abstract": "Penyetelan alat musik yang akurat merupakan tantangan utama bagi banyak\r\nmusisi, terutama bagi pemula yang mungkin kesulitan dalam menyesuaikan nada\r\nyang tepat. Ketidakakuratan penyetelan dapat memengaruhi kualitas musik yang\r\ndihasilkan, baik dalam konteks latihan pribadi maupun pertunjukan. Dalam\r\nlingkungan yang bising atau dengan keterbatasan waktu, penyetelan manual\r\nseringkali menjadi kurang efisien, sehingga berpotensi menghambat proses belajar\r\nmusik dan menghasilkan pengalaman bermusik yang kurang optimal.\r\nPenelitian ini bertujuan untuk mengembangkan aplikasi mobile yang\r\nmemanfaatkan algoritma Fast Fourier Transform (FFT) untuk membantu musisi\r\ndalam melakukan penyetelan alat musik secara lebih efisien dan akurat. Langkahlangkah\r\n penelitian meliputi pengembangan aplikasi berbasis smartphone yang\r\nmenggunakan mikrofon untuk merekam suara dari alat musik, lalu menerapkan\r\nFFT untuk menganalisis frekuensi suara. Hasil analisis ini dibandingkan dengan\r\nfrekuensi standar, dan aplikasi memberikan umpan balik berupa indikasi visual\r\ntentang kesesuaian nada yang dihasilkan oleh alat musik.\r\nHasil penelitian menunjukkan bahwa aplikasi ini belum mampu\r\nmemberikan penyetelan yang akurat, terutama ketika dihadapkan pada sinyal audio\r\ndunia nyata yang bersifat kompleks dan tidak ideal. Sinyal suara dari alat musik\r\nnyata tidak berbentuk gelombang sinus murni, sehingga metode yang digunakan\r\ndalam penelitian ini mengalami kesulitan dalam melakukan deteksi frekuensi\r\nsecara tepat, khususnya pada kondisi lingkungan yang bising. Akibatnya, aplikasi\r\nini belum dapat digunakan secara andal oleh musisi, baik pemula maupun\r\nprofesional. Dengan demikian, kontribusi penelitian ini lebih menekankan pada\r\nidentifikasi keterbatasan pendekatan yang digunakan, serta menunjukkan bahwa\r\ndiperlukan metode pengolahan sinyal yang lebih baik dan adaptif. Penelitian\r\nselanjutnya disarankan untuk mempertimbangkan karakteristik sinyal audio dunia\r\nnyata agar sistem penyetelan dapat bekerja lebih akurat dalam berbagai kondisi\r\nlingkungan." }