Correlation between chord guitar and song year era using apriori algorithm
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Published:
Sep 30, 2023
Keywords:
Apriori Algorithm, Data Mining, Guitar Chord, Music, Song Year Era
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Abstract
There are there are more and more varieties of music, especially if you made the music with guitar. There are also many and variety key combinations for the guitar chord. This is usually taken into consideration by beginners who are just learning to play the guitar to make their own music. Music also must made by feeling for the tone itself, and everyone has a different feel. Beginners usually see references from existing songs to made their own music. They usually make it in any key or chord that they want. But they also need inspiration or suggestions for the next key or chord to use from the key or chord they specified. In this study, we propose a way for beginners to find a combination of chords that can be used to make their own first music. From the results of this study, it was found that of the many songs in the database that were released in the 1990s to 2000s, most of them used three combinations of chords Am, Em and G. These three combinations were the combinations that most often appeared in songs. These three keys can become the user's favourites to be used as a basis for making songs or just to find inspiration from songs from the 1990s to 2000s.
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How to Cite
Zainal, R. F., & Arizal, A. (2023). Correlation between chord guitar and song year era using apriori algorithm. Journal of Intelligent Decision Support System (IDSS), 6(3), 160-167. https://doi.org/10.35335/idss.v6i3.126
References
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Yustiana, I., Sutarha, I., Maulawati, N., & Yusuf, I. M. (2021). BASKET MARKET ANALYSIS USING R-BASED APRIORI ALGORITHM TO FIND INFORMATION FROM SALES DATA. International Journal of Engineering and Applied Technology (IJEAT, 4(2), 79–92. https://doi.org/10.52005/ijeat.v3i1.xxx
Ariestya, W. W., Supriyatin, W., & Astuti, I. (2019). MARKETING STRATEGY FOR THE DETERMINATION OF STAPLE CONSUMER PRODUCTS USING FP-GROWTH AND APRIORI ALGORITHM. Jurnal Ilmiah Ekonomi Bisnis, 24(3), 225–235. https://doi.org/10.35760/eb.2019.v24i3.2229
Dewi Sri Mulyani, E., Purnama Putra, Y., Badar Sambani, E., Siti Sundari, S., Mufizar, T., & Satrio Nugraha, M. (2021). Student Competency Association Analysis For Learning Evaluation Using Apriori Algorithm. Elinvo (Electronics, Informatics, and Vocational Education), 6(2), 120–130. https://doi.org/10.21831/elinvo.v6i2.42264
Fenny Syafariani, R. (2022). Association Analysis with Apriori Algorithm for Electronic Sales Decision Support System. International Journal of Informatics Information System and Computer Engineering, 3(1), 61–72. https://doi.org/10.34010/injiiscom.v3i1.8089
Gredy Aprianno Penciptaan Seni Musik Bara, R., & dan Pengkajian, P. (2020). PENGARUH ETUDE TERHADAP TEKNIK PERMAINAN GITAR KLASIK DAN GITAR ELEKTRIK. 2, 103–108.
Henry, M., Chandra, W., & Zahra, A. (2022). Implementation of Apriori Algorithm for Music Genre Recommendation. Jurnal Online Informatika, 7(1), 110. https://doi.org/10.15575/join.v7i1.819
Idris, A. I., Sampetoding, E. A. M., Ardhana, V. Y. P., Maritsa, I., Sakri, A., Ruslan, H., & Manapa, E. S. (2022). Comparison of Apriori, Apriori-TID and FP-Growth Algorithms in Market Basket Analysis at Grocery Stores. The IJICS (International Journal of Informatics and Computer Science), 6(2), 107. https://doi.org/10.30865/ijics.v6i2.4535
Ilmiah, J., & Grafis, K. (n.d.). Implementasi Algoritma Apriori Pada Sistem Rekomendasi Produk Rameiki Mart. 15(2), 330–347. http://journal.stekom.ac.id/index.php/pixel■page330
Irfiani, E. (2019). Application of Apriori Algorithms to Determine Associations in Outdoor Sports Equipment Stores. SinkrOn, 3(2), 218. https://doi.org/10.33395/sinkron.v3i2.10089
Kharisma, B. (2021). Performing Arts Education ANALISIS KOMPOSISI SOUNDTRACK DALAM VIDEO GAME “GENSHIN IMPACT.” https://doi.org/10.24821/ijopaed
Le, Y. (2022). Research on data resource management of biomass energy engineering based on data mining. Energy Reports, 8, 1482–1492. https://doi.org/10.1016/J.EGYR.2022.02.048
Pan, T. (2021). An Improved Apriori Algorithm for Association Mining Between Physical Fitness Indices of College Students. International Journal of Emerging Technologies in Learning, 16(9), 235–246. https://doi.org/10.3991/ijet.v16i09.22747
Rumui, N., Andi Roy, rd, & Pujo Hari Saputro Informatics Manajemen Politeknik Negeri FakFak FakFak, th. (2022). Comparison of Apriori Algorithm and FP-Growth in Managing Store Transaction Data 1 st Syukron Anas, 2 nd. In International Journal of Computer and Information System (IJCIS) Peer Reviewed-International Journal (Vol. 03). https://ijcis.net/index.php/ijcis/index
Saefudin, M., Diana, D., Hendrato, H., Informasi, S., Komputer, S., & Jakarta STI, S. (2022). DEVELOPMENT OF DATA MINING SOFTWARE USING ASSOCIATION TECHNIQUES BASED ON APRIORI ALGORITHM METHOD (Pengembangan Perangkat Lunak Data Mining Menggunakan Teknik Asosiasi Berdasarkan Metode Algoritma Apriori ). Journal of Information System, Informatics and Computing Issue Period, 6(1), 125–136. https://doi.org/10.52362/jisicom.v6i1.800
Samuel, S., Sani, A., Budiyantara, A., Ivone, M., & Frieyadie, F. (2022). SALES LEVEL ANALYSIS USING THE ASSOCIATION METHOD WITH THE APRIORI ALGORITHM. Jurnal Riset Informatika, 4(4), 331–340. https://doi.org/10.34288/jri.v4i4.422
Sari, N. D., W A, B. S., & Nasiri, A. (2020). Implementation of Apriori Algorithm for Determining Product Purchase Patterns. SISFOTENIKA, 11(1), 1. https://doi.org/10.30700/jst.v11i1.1033
Wang, H. Bin, & Gao, Y. J. (2021). Research on parallelization of Apriori algorithm in association rule mining. Procedia Computer Science, 183, 641–647. https://doi.org/10.1016/J.PROCS.2021.02.109
Xie, H. (2021). Research and Case Analysis of Apriori Algorithm Based on Mining Frequent Item-Sets. Open Journal of Social Sciences, 09(04), 458–468. https://doi.org/10.4236/jss.2021.94034
Yustiana, I., Sutarha, I., Maulawati, N., & Yusuf, I. M. (2021). BASKET MARKET ANALYSIS USING R-BASED APRIORI ALGORITHM TO FIND INFORMATION FROM SALES DATA. International Journal of Engineering and Applied Technology (IJEAT, 4(2), 79–92. https://doi.org/10.52005/ijeat.v3i1.xxx
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