Analyzing Gender Equality Indicators Using Principal Component Analysis in Central Papua and Papua Highland

Fayza Shafira Renianti; Suliyanto; Dita Amelia; M. Fariz Fadillah Mardianto; Elly Ana

doi:10.58526/jsret.v4i4.972

Authors

Fayza Shafira Renianti Airlangga University
Suliyanto Faculty of Science and Technology, Airlangga University, Surabaya, Indonesia
Dita Amelia Faculty of Science and Technology, Airlangga University, Surabaya, Indonesia
M. Fariz Fadillah Mardianto Faculty of Science and Technology, Airlangga University, Surabaya, Indonesia
Elly Ana Faculty of Science and Technology, Airlangga University, Surabaya, Indonesia

DOI:

https://doi.org/10.58526/jsret.v4i4.972

Keywords:

Gender Equality, Principal Component Analysis, Papua

Abstract

The Gender equality is one of the key targets in Sustainable Development Goal (SDG) 5 and remains a major challenge in Central Papua and Papua Highland, where gender development indicators are among the lowest in Indonesia. This study aims to identify the dominant factors influencing gender equality in these two provinces using Principal Component Analysis (PCA) on seven indicators representing education, health, economic conditions, and political representation of women. The analysis results show that two main factors are formed with a total variance explained of 77.248%. The first factor reflects women’s economic participation and basic living conditions, while the second factor represents resource capacity and socio-political representation. These findings suggest that limited access to education, health services, and participation in the labor market and political institutions are the primary contributors to gender inequality in this region. Therefore, empowerment-oriented policies and improved service accessibility are required to achieve more equitable gender development in Papua.

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References

Ginting, K. R., Pancawati, G., & Priyono, B. (2022). Empowering Women in Papua Province , Indonesia as Part of the Green Economy. 2022, 1148–1157. https://doi.org/10.18502/kss.v7i9.11009

Khusna, T., Akbarita, R., & Narendra, R. (2021). Perbandingan Principal Axis Factoring dan Maximum Likelihood dalam Menentukan Faktor Dominan yang Mempengaruhi Pembelajaran Nahwu Shorof (Studi Kasus Pondok Pesantren Roudlotul Muta’allimin Putri). Barekeng: Jurnal Ilmu Matematika Dan Terapan, 15(4), 785–796. https://doi.org/10.30598/Barekengvol15iss4pp785-796

Lesnussa, T. P., Kaseside, M., Elseos, E., Utubira, M., & Matematika, P. S. (2025). Penerapan Metode Principal Component Analysis ( Studi Kasus : Tingkat Kemiskinan di Kepulauan Maluku ). Bilangan: Jurnal Ilmiah Matematika, Kebumian Dan Angkasa, 3(April). https://doi.org/: https://doi.org/10.62383/bilangan.v3i2.479

Merina, B. (2023). The Empowerment of Indigenous Papuan Women Through Home-Based Industries : A Case Study in Papua , Indonesia. Academic Journal of Interdisciplinary Studies, 12, 38–48. https://doi.org/https://doi.org/10.36941/ajis-2023-0124

Permadi, C. A. B., Nasruddin, Basir, J., Ramadhani, N. R. S., Ni’mah, A. H., & Maryati, S. (2025). Peran Gender Dalam Masyarakat Papua : Pendidikan Kesetaraan Gender yang Responsif Terhadap Budaya Lokal. Sindoro Cendikia Pendidikan, 14(1). https://doi.org/10.9644/sindoro.v3i9.252

Ravika, A., & Rhani, M. (2024). Pengaruh Kesetaraan Gender terhadap Pertumbuhan Ekonomi : Studi Kasus Implementasi SDGs Kelima di Indonesia. 3(2), 164–183.

Rencher, A. C. (2002). Methods of Multivariate Analysis Second Edition.

Saputri, I. E., Novriza, H., Dhewantoro, S., Azizah, P. I., & Utami, P. S. (2024). Tantangan dan Perwujudan Gender Equality Sebagai Realitas Sosial serta Implikasinya dalam Pembangunan di Indonesia. Maharsi : Jurnal Pendidikan Sejarah Dan Sosiologi, 6(1), 14–25. https://doi.org/https://doi.org/10.33503/ maharsi.v6i1.3997 Copyright

Sianturi, R. (2022). Uji Homogenitas sebagai Syarat Pengujian Analisis. Jurnal Pendidikan, Sains Sosial, Dan Agama, 8(1), 386–397. https://doi.org/10.53565/Pssa.V8i1.507

Statistik, B. P. (2024). Indeks Ketimpangan Gender (IKG).

Statistik, B. P. (2024). Indeks Pembangunan Gender (IPG).

Statistik, B. P. (2024). Indeks Pemberdayaan Gender (IDG).

Tahir, N. I., Alwi, W., & Nurfadilah, K. (2021). Aplikasi Metode Analisis Komponen Utama dalam Mengidentifikasi Faktor Yang Memengaruhi Kemiskinan di Kabupaten / Kota Provinsi Sulawesi Selatan. JOMTA Journal of Mathematics: THeory and Applications, 3(2), 38–44.

Verdian, E. (2019). Analisis Faktor yang Merupakan Intensi Perpindahan Merek Transportasi Online di Surabaya. Agora, 7(1).

Wardani, K. E. (2024). Analisis Faktor Indeks Pembangunan Gender Provinsi Papua dengan Menggunakan Metode Regresi Linear Berganda.

Yustie, R., Wany, E., Prayitno, B., Purwitasari, F., Wijaya, U., Surabaya, K., Ekonomi, F., & Studi, P. (2023). Peran Pendidikan terhadap Pembangunan Gender di Provinsi Papua. Jurnal Income, 4, 95–105.