Nine Steps Kimball dan Agile SDLC Analisis dalam Perancangan Data Warehouse Penyusunan Borang Akreditasi Program Studi
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https://doi.org/10.24843/MITE.2022.v21i01.P15
Abstrak
Kelayakan Program Studi dan Perguruan Tinggi ditentukan berdasarkan pada proses akreditasi. Kriteria akreditasi mengacu pada Standar Nasional Pendidikan Tinggi. Terdapat sembilan standar yang harus dilengkapi dokumennya dalam proses akreditasi. Proses penyusunan instrumen borang masih dilakukan secara manual menimbulkan masalah dalam proses melengkapi instrument borang, karena harus melakukan rekap data yang banyak dan membutuhkan lebih banyak waktu untuk mengambil dan mengolah data. Untuk mempermudah penyusunan instrumen borang prodi, maka akan dibangun sebuah skema data warehouse dan service-middleware untuk penarikan data beserta aplikasi yang berjalan pada platform web untuk menghasilkan laporan yang dibutuhkan dalam penyusunan instrumen borang akreditasi prodi. Perancangan skema data warehouse akan menggunakan pendekatan Nine-Steps Kimball. Sedangkan untuk pengembangan aplikasi akan menggunakan pendekatan Agile. Hasil dari penelitian ini berupa pemodelan skema data warehouse dalam proses pengembangan Agile untuk kebutuhan instrumen borang akreditasi prodi.
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Referensi
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[16] D. Linda, “PENGISIAN BORANG AKREDITASI STANDAR 3 MENGGUNAKAN,” J. Inform., vol. 15, no. 2, p. 13, 2015.
[17] J. Tunggono, M. R. Faisal, and D. T. Nugrahadi, “PEMANFAATAN DATA WAREHOUSE SEBAGAI SARANA PENUNJANG PENYUSUNAN BORANG AKREDITASI STANDAR 3 DAN STANDAR 4,” vol. 02, p. 14, 2015.
[18] I. M. D. J. Sulastra, M. Sudarma, and I. N. S. Kumara, “PEMODELAN INTEGRASI NEARLY REAL TIME DATA WAREHOUSE DENGAN SERVICE ORIENTED ARCHITECTURE UNTUK MENUNJANG SISTEM INFORMASI RETAIL,” Maj. Ilm. Teknol. Elektro, vol. 14, no. 2, Art. no. 2, Dec. 2015, doi: 10.24843/MITE.2015.v14i02p03.
[19] I. MadeSukarsa, N. Wayan Wisswani, I. K. Gd. Darma Putra, and L. Linawati, “Change Data Capture on OLTP Staging Area for Nearly Real Time Data Warehouse Base on Database Trigger,” Int. J. Comput. Appl., vol. 52, no. 11, Art. no. 11, Aug. 2012, doi: 10.5120/8248-1762.
[20] R. A. Putri, “Evaluasi Model Data Warehouse Untuk Mendukung Manajemen Pendidikan dengan TAM,” vol. 02, p. 5, 2018.
[21] B. David A. and D. Joseph G., “A Comparative Study of Web Development Technologies Using Open Source and Proprietary Software,” Int. J. Comput. Sci. Mob. Comput..
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[3] L. Yessad and A. Labiod, “Comparative study of data warehouses modeling approaches: Inmon, Kimball and Data Vault,” in 2016 International Conference on System Reliability and Science (ICSRS), Paris, France, Nov. 2016, pp. 95–99. doi: 10.1109/ICSRS.2016.7815845.
[4] G. M. F. Ahmed, M. S. Islam, and M. M. R. Karim, “Comparison Between Inmon and Kilball Methodology for the Purpose of Designing, Constructing and Testing of a Commercial BIDW Project,” Int. J. Comput. Graph., vol. 8, no. 1, pp. 11–20, May 2017, doi: 10.14257/ijcg.2017.8.1.02.
[5] R. P. Pawar, “A Comparative study of Agile Software Development Methodology and traditional waterfall model,” IOSR J. Comput. Eng., p. 8.
[6] P. Abrahamsson, O. Salo, and J. Ronkainen, “Agile Software Development Methods: Review and Analysis,” p. 112, 2002.
[7] M. Golfarelli, S. Rizzi, and E. Turricchia, “Sprint Planning Optimization in Agile Data Warehouse Design,” in Data Warehousing and Knowledge Discovery, vol. 7448, A. Cuzzocrea and U. Dayal, Eds. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012, pp. 30–41. doi: 10.1007/978-3-642-32584-7_3.
[8] D. Batra, “Adapting Agile Practices for Data Warehousing, Business Intelligence, and Analytics,” J. Database Manag., vol. 28, no. 4, pp. 1–23, Oct. 2017, doi: 10.4018/JDM.2017100101.
[9] M. Puonti, T. Lehtonen, A. Luoto, T. Aaltonen, and T. Aho, “Towards Agile Enterprise Data Warehousing,” p. 6, Aug. 2016.
[10] R. Gupta, “Using Agile Methodology in Data Warehouse,” vol. 6, no. 12, p. 282, 2016.
[11] P. Surendran, “Technology Acceptance Model: A Survey of Literature,” Int. J. Bus. Soc. Res., p. 4, 2012.
[12] R. H. Shroff, C. C. Deneen, and E. M. W. Ng, “Analysis of the technology acceptance model in examining students’ behavioural intention to use an e-portfolio system,” Australas. J. Educ. Technol., vol. 27, no. 4, Aug. 2011, doi: 10.14742/ajet.940.
[13] M. M. Rahman, M. F. Lesch, W. J. Horrey, and L. Strawderman, “Assessing the utility of TAM, TPB, and UTAUT for advanced driver assistance systems,” Accid. Anal. Prev., vol. 108, pp. 361–373, Nov. 2017, doi: 10.1016/j.aap.2017.09.011.
[14] K. Khotimah, “PERANCANGAN DAN IMPLEMENTASI DATA WAREHOUSE UNTUK MENDUKUNG SISTEM AKADEMIK (STUDI KASUS PADA STKIP MUHAMMADIYAH KOTABUMI),” vol. 02, no. 01, p. 14, 2016.
[15] Y. S. Triana and A. Susilo, “APLIKASI DATA WAREHOUSE UNTUK MENUNJANG STANDAR 3 BORANG AKREDITASI PRODI INFORMATIKA UNIVERSITAS MERCU BUANA,” J. Ilm. FIFO, vol. 9, no. 2, p. 110, Nov. 2017, doi: 10.22441/fifo.2017.v9i2.003.
[16] D. Linda, “PENGISIAN BORANG AKREDITASI STANDAR 3 MENGGUNAKAN,” J. Inform., vol. 15, no. 2, p. 13, 2015.
[17] J. Tunggono, M. R. Faisal, and D. T. Nugrahadi, “PEMANFAATAN DATA WAREHOUSE SEBAGAI SARANA PENUNJANG PENYUSUNAN BORANG AKREDITASI STANDAR 3 DAN STANDAR 4,” vol. 02, p. 14, 2015.
[18] I. M. D. J. Sulastra, M. Sudarma, and I. N. S. Kumara, “PEMODELAN INTEGRASI NEARLY REAL TIME DATA WAREHOUSE DENGAN SERVICE ORIENTED ARCHITECTURE UNTUK MENUNJANG SISTEM INFORMASI RETAIL,” Maj. Ilm. Teknol. Elektro, vol. 14, no. 2, Art. no. 2, Dec. 2015, doi: 10.24843/MITE.2015.v14i02p03.
[19] I. MadeSukarsa, N. Wayan Wisswani, I. K. Gd. Darma Putra, and L. Linawati, “Change Data Capture on OLTP Staging Area for Nearly Real Time Data Warehouse Base on Database Trigger,” Int. J. Comput. Appl., vol. 52, no. 11, Art. no. 11, Aug. 2012, doi: 10.5120/8248-1762.
[20] R. A. Putri, “Evaluasi Model Data Warehouse Untuk Mendukung Manajemen Pendidikan dengan TAM,” vol. 02, p. 5, 2018.
[21] B. David A. and D. Joseph G., “A Comparative Study of Web Development Technologies Using Open Source and Proprietary Software,” Int. J. Comput. Sci. Mob. Comput..
Diterbitkan
2022-07-09
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DARMA, I Gede Wira; WIHARTA, Dewa Made; SASTRA, Nyoman Putra.
Nine Steps Kimball dan Agile SDLC Analisis dalam Perancangan Data Warehouse Penyusunan Borang Akreditasi Program Studi.
Jurnal Teknologi Elektro, [S.l.], v. 21, n. 1, p. 107-116, july 2022.
ISSN 2503-2372.
Tersedia pada: <http://ojs.unud.ac.id/index.php/mite/article/view/83378>. Tanggal Akses: 29 sep. 2025
doi: https://doi.org/10.24843/MITE.2022.v21i01.P15.
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