=LDR  00000nam  2200000   4500
=001  INLIS000000000002956
=005  20250218092804
=035  ##$$a 0010-0225000246
=007  ta
=008  250218###########################0#eng##
=020  ##$$a 2503-3379
=020  ##$$a 2527-3132
=082  ##$$a 363.96
=084  ##$$a 363.96 ASH t
=100   #$$a Ashari Ramadhan
=245  14$$a THE POTENTIAL OF FAMILY PLANNING SERVICES IN ENHANCING THE UTILIZATION OF MODERN CONTRACEPTIVES: A CLUSTER ANALYSIS OF VILLAGE GROUPING IN WEST SULAWESI PROVINCE /$c Ashari Ramadhan, Andi Nur Zamzam Arman
=250  ##$$a Jurnal Keluarga Berencana | Vol. 9 No. 2, 2024
=260  ##$$a Jakarta :$b Badan Kependudukan dan Keluarga Berencana Nasional,$c 2024
=300  ##$$a 11 hlm. : $b ilus. ; $c 29 cm
=650  #4$$a Family Planning
=650  #4$$a Keluarga Berencana
=700   #$$a Andi Nur Zamzam Arman
=520  ##$$a ABSTRACT
Maternal and child mortality issue is a significant challenge in West Sulawesi, necessitating urgent
intervention. The Maternal and Child Health (MCH) data for 2023 reveals maternal mortality at 48 and
infant mortality at 359. The declining of 1.2% in modern contraceptive use to 51.14% in 2023 compared to
the previous year, underscores the urgency for intervention. Meanwhile, each region exhibits distinct
characteristics, conditions, and potentials to decide the right intervention for each region. The k-means
algorithm in this research was used to perform regional clustering. The purpose of this study is to
determine intervention strategies based on the conditions and potential of regional clusters. Cluster
analysis highlights variations among clusters. Based on the analysis, clusters with unmet need below the
expected target are clusters 1, 2, and 4. In determining intervention, the following aspects need to be
considered specifically cluster 1 requires enhanced access to family planning services, cluster 2 needs
improved dissemination of family planning information, while cluster 4 is characterized by high unmet
needs and a lack of healthcare facilities, necessitates increased accessibility to family planning services and
healthcare staff training. Customized strategies for each cluster are vital to optimize the utilization of
resources effectively and efficiently.
Keywords: Cluster Analysis; Family Planning Service; Village Grouping.