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Prof. Dr. Hj. Sri Harini, M.Si

Prof. Dr. Hj. Sri Harini, M.Si

NIP. : 19731014 200112 2 002
Email : sriharini@mat.uin-malang.ac.id
Bidang Minat : Statistika
Topik Riset/Keahlian : Statistika, Time Series
Scopus ID : 58188024900
Sinta ID : 6019905

Pendidikan

  • S1 Statistika, Universitas Brawijaya, Malang
  • S2 Statistika, Institut Teknologi Sepuluh Nopember (ITS), Surabaya
  • S3 Statistika, Institut Teknologi Sepuluh Nopember (ITS), Surabaya

Publikasi Pilihan

Dewi, N., Widhiyastuti, E., Harningsih, T., & Harini, S. (2022). Correlation Stress, Body Mass Index and Physical Activities in Elderly with Hypertension. Indonesian Journal of Global Health Research, 4(4), 743–754.
Saputra, M. A. W., & Harini, S. (2022). Java Island Health Profile Clustering using K-Means Data Mining. International Journal on Information and Communication Technology (IJoICT), 8(1), 1–9.
Arif, Y. M., Harini, S., Nugroho, S. M. S., & Hariadi, M. (2021). An automatic scenario control in serious game to visualize tourism destinations recommendation. IEEE Access, 9, 89941–89957.
Shofura, S., Suryani, S., Salma, L., & Harini, S. (2021). The Effect of Number of Factors and Data on Monthly Weather Classification Performance Using Artificial Neural Networks. International Journal on Information and Communication Technology (IJoICT), 7(1), 23–35.
Wulandari, S., Susanti, E., & Harini, S. (2021). Mathematical Problem Solving for Students in the Superior Intelligence Quotient (IQ) Category. MEJ (Mathematics Education Journal), 5(2), 159–168.
Harini, S., Mulyanto, A. D., & Khudzaifah, M. (2020). The earthquake events and impacts mapping in Bali and Nusa Tenggara using a clustering method. IOP Conference Series: Earth and Environmental Science, 456(1), 012087.
Arif, Y. M., Nurhayati, H., Harini, S., Nugroho, S. M. S., & Hariadi, M. (2020). Decentralized tourism destinations rating system using 6AsTD framework and blockchain. 2020 International Conference on Smart Technology and Applications (ICoSTA), 1–6.
Harini, S. (2020). Estimation of error variance-covariance parameters using multivariate geographically weighted regression model. Abstract and Applied Analysis, 2020, 1–5.