70 DAFTAR PUSTAKA
Ahmar, A. S., Napitupulu, D., Rahim, R., Hidayat, R., Sonatha, Y., dan Azmi, M.
(2018). Using K-Means Clustering to Cluster Provinces in Indonesia. Journal of Physics: Conference Series, 1028, 12006.
Alasadi, S. A., dan Bhaya, W. S. (2017). Review of data preprocessing techniques in data mining. Journal of Engineering and Applied Sciences, 12(16), 4102–
4107.
Alshamrani, A., dan Bahattab, A. (2015). A Comparison Between Three SDLC Models Waterfall Model, Spiral Model, and Incremental/Iterative Model.
IJCSI International Journal of Computer Science Issues, 12(1), 106–111.
Ardiada, D., Ariawan, P. A., dan Sudarman, M. (2018). Evaluation of Supporting Work Quality Using K-Means Algorithm. International Journal of Engineering and Emerging Technology, 3.
Badan Penelitian dan Pengembangan Kesehatan. (2018). Riset Kesehatan Dasar 2018.vol. 1. Republik Indonesia.
Branca, F., dan Ferrari, M. (2002). Impact of micronutrient deficiencies on growth:
The stunting syndrome. Annals of Nutrition and Metabolism, 46(SUPPL. 1), 8–17.
Dennis, A., Wixom, B. H., dan Roth, R. M. (2006). Systems analysis design (3rd ed.). J. Wiley. 1-17.
Direktorat Gizi Masyarakat. (2019). Laporan Akuntabilitas Kinerja 2018. Jakarta, 9-45.
Dubey, A. K., Gupta, U., dan Jain, S. (2018). Comparative study of K-means and fuzzy C-means algorithms on the breast cancer data. International Journal on Advanced Science, Engineering and Information Technology, 8(1), 18–29.
Fenn, B., Bulti, A. T., Nduna, T., Duffield, A., dan Watson, F. (2012). An
71 evaluation of an operations research project to reduce childhood stunting in a food-insecure area in Ethiopia. Public Health Nutrition, 15(9), 1746–1754.
Geraci, A., Katki, F., McMonegal, L., Meyer, B., dan Porteous, H. (1991). IEEE Standard Computer Dictionary. A Compilation of IEEE Standard Computer Glossaries. IEEE Std 610.
Hair, J. F., Black, W. C., Babin, B. J., dan Anderson, R. E. (2010). Multivariate Data Analysis. In Pearson Prentice Hall (7th ed., pp. 455–458). PEARSON.
Hill, B. D. (2011). The sequential kaiser-meyer-olkin procedure as an alternative for determining the number of factors in common-factor analysis: a monte carlo simulation.
Hossain, M., Choudhury, N., Adib, K., Abdullah, B., Mondal, P., Jackson, A. A.,
… Ahmed, T. (2017). Evidence-based approaches to childhood stunting in low and middle income countries: a systematic review. Arch Dis Child.
Ibrahim, R., dan Yen, S. Y. (2011). A Formal Model for Data Flow Diagram Rules.
ARPN Journal of System and Software , 1(2).
Jain, A. K. (2010). Data clustering: 50 years beyond K-means. Pattern Recognition Letters, 31(8), 651–666.
Joint Malnutrition Estimates. (2018). Levels and Trends in Child Malnutrion.1-5.
Kastro Dake, S., Solomon, B., Bobe, T. M., Tekle, H. A., dan Tufa, E. G. (2019).
Predictors of stunting among children 6-59 months of age in Sodo Zuria District, South Ethiopia: a community based cross-sectional study. BMC Nutrition.
Kemenkes RI. (2015). Rencana Strategis Kesehatan Republik Indonesia 2015- 2019.65-66.
Kemenkes RI. (2019). Profil Kesehatan Indonesia 2018. Kementerian Kesehatan Republik Indonesia.111-1 47.
72 Kementerian PPN / Bappenas. (2018). Pedoman pelaksanaan intervensi penurunan
stunting terintegrasi di kabupaten/ kota.
Larman, C., dan Basili, V. R. (2003). Iterative and Incremental Development : A Brief History. Computer, 36(6), 47–56.
Lashari, S. A., Ibrahim, R., Senan, N., dan Taujuddin, N. S. A. M. (2017).
Application of Data Mining Techniques for Medical Data Classification: A Review.
Moniaga, J. V., Ohyver, M., Siregar, J., dan Yauwito, P. H. (2019). Map-type modelling and analysis of children stunting case data in Indonesia with interactive multimedia method. In Procedia Computer Science (Vol. 157, pp.
530–536). Elsevier B.V.
Nalavade, K., dan Mehsram, B. B. (2014). Evaluation of K-Means Clustering for Effective Intrusion Detection and Prevention in Massive Network Traffic Data. International Journal of Computer Applications, 96(7), 975–8887.
Oyelade, O. J., Oladipupo, O. O., dan Obagbuwa, I. C. (2010). Application of k- Means Clustering algorithm for prediction of Students’ Academic Performance. IJCSIS) International Journal of Computer Science and Information Security, 7(1).
Patro, V. M., dan Patra, M. R. (2015). A Novel Approach to Compute Confusion Matrix for Classification of n-Class Attributes with Feature Selection.
Transactions on Machine Learning and Artificial Intelligence, 3(2).
Ragunath, P., Velmourougan, S., Davachelvan, P., Kayalvizhi, S., dan Ravimohan, R. (2010). Evolving A New Model (SDLC Model-2010) For Software Development Life Cycle (SDLC). International Journal of Computer Science and Network Security, 10(1), 112–119.
Ramli, Agho, K. E., Inder, K. J., Bowe, S. J., Jacobs, J., dan Dibley, M. J. (2009).
Prevalence and risk factors for stunting and severe stunting among under-fives in North Maluku province of Indonesia. BMC Pediatrics, 9, 64.
Sammour, M., dan Othman, Z. (2016). An agglomerative hierarchical clustering with various distance measurements for ground level ozone clustering in
73 Putrajaya, Malaysia. International Journal on Advanced Science, Engineering and Information Technology, 6(6), 1127–1133.
Samriya, J. kumar. (2019). Efficient K-Means Clustering for Healthcare Data.
2016, (January).
Shirkhorshidi, A. S., Aghabozorgi, S., dan Wah, T. Y. (2015). A Comparison Study on Similarity and Dissimilarity Measures in Clustering Continuous Data.
Sommerville, I., Columbus, B., New, I., San, Y., Upper, F., River, S., … Tokyo, T.
(2011). Software engineering Ninth Edition.
Stellman, A., dan Greene, J. (2005). Applied Software Project Management.
“O’Reilly Media, Inc.”
Sudarmadji, P. W., Elena, C., dan Bire, B. (2019). Implementation Of K-Means Clustering Algoritm To Determine Stunted Status In Children Under Two Years Old.
Tamilselvi, R., Sivasakthi, B., dan Kavitha, R. (2015). An efficient preprocessing and postprocessing techniques in data mining.
TNP2K. (2017). 100 Kabupaten/Kota Prioritas untuk Intervensi Anak Kerdil (Stunting) (Vol. 1). Tim Nasional Percepatan Penanggulangan Kemiskinan.
Uwiringiyimana, V., Ocké, M. C., Amer, S., dan Veldkamp, A. (2019). Predictors of stunting with particular focus on complementary feeding practices: A cross- sectional study in the northern province of Rwanda. Nutrition, 60, 11–18.
Westfall, L. (2010). The Certified Software Quality Engineer Handbook.
Milwaukee: Quality Press.
