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All Journal JURNAL ILMIAH OBSGIN : Jurnal Ilmiah Ilmu Kebidanan & Kandungan Emerging Statistics and Data Science Journal
handayani, fitri dwi
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Biochemistry, Genetics & Molecular Biology Computer Science & IT Health Professions Mathematics Medicine & Pharmacology Nursing Public Health

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FAKTOR-FAKTOR YANG BERHUBUNGAN DENGAN MINAT IBU DALAM PEMILIHAN ALAT KONTASEPSI IMPLAN DI KLINIK PRATAMA KEMALA KECAMATAN CIKARANG PUSAT KABUPATEN BEKASI TAHUN 2023 handayani, fitri dwi; Fatdo Wardani, Ika Kania
JURNAL ILMIAH OBSGIN : Jurnal Ilmiah Ilmu Kebidanan & Kandungan P-ISSN : 1979-3340 e-ISSN : 2685-7987 Vol 16 No 2 (2024): JUNI
Publisher : NHM PRESS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36089/job.v16i2.1960

Abstract

WHO data shows that users of contraceptive implants throughout the world are still below injectable contraceptives, pills, condoms and IUDs, especially in developing countries. The percentage of use of injectable contraceptives is 35.3%, pills 30.5%, IUDs 15.2%, while implants are under 10%, namely 7.3%, and other contraceptives are 11.7%. Currently, it is estimated that 30% use an IUD/IUD in China, 13% in Europe, 5% in the United States, 6.7% in other developing countries (Nurmalita Sari et al., 2020). The aim of this research is to identify factors related to maternal interest in choosing an implant contraceptive device at the Pratama Kemala Cikarang Clinic, Bekasi Regency in 2023. The research method used is a cross sectional survey method. The analysis used is the Chi Square Test. This research uses primary data from filling out questionnaires by each respondent. The total population in this study was 197 people and the sample taken was 132 respondents. The sampling technique uses accidental sampling or a sampling technique based on chance, that is, anyone who meets the researcher by chance can be used as a sample. The results of the research show that the variables that are related to interest in implants at the Pratama Kemala Clinic, Cikarang Pusat, Bekasi Regency in 2023 are knowledge (P value 0.004), age (P value 0.001), and husband's support (P value 0.003), while the factors that are not related are education. (P value 0.558), parity (P value 0.082), and employment (P value 0.859). It is hoped that with this research, mothers of couples of childbearing age will be able to increase information and knowledge about the side effects, disadvantages, advantages and contra-indications of contraceptives so that they can choose which method of contraception is good by consulting and asking lots of questions to health workers to gain insight into knowledge about the contraceptives. contraception is wider and can provide information from anywhere, for example from social media.
Clustering Review Pengguna Aplikasi Zenius pada Layanan Google Play Store Menggunakan Metode DBSCAN dan HDBSCAN: Clustering Review Pengguna Aplikasi Zenius Handayani, Fitri Dwi; Isnaini Rosyida
Emerging Statistics and Data Science Journal Vol. 1 No. 2 (2023): Emerging Statistics and Data Science Journal
Publisher : Statistics Department, Universitas Islam Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20885/esds.vol1.iss.2.art19

Abstract

Kemajuan teknologi telah melahirkan suatu inovasi yaitu terciptanya aplikasi E-learning atau Edutech yang saat ini banyak diminati untuk membantu siswa dalam belajar mandiri di rumah. Pada Google play store beberapa rating dan review aplikasi memudahkan pengguna untuk mencari aplikasi dengan review terbaik. Adanya analisis rating dan review memungkinkan developer untuk menilai bagian mana dari aplikasi yang perlu difokuskan untuk perbaikan. Analisis ulasan terhadap topik ulasan dapat dilakukan dengan berbagai cara, salah satunya dapat menggunakan metode clustering. Penelitian ini bertujuan untuk mengetahui review dari sebuah aplikasi yang paling sering ditulis oleh pengguna aplikasi. Untuk mendapatkan hasil tersebut, dilakukan review clustering terhadap pengguna aplikasi e-learning di Google Play Store dengan menggunakan metode DBSCAN dan HDBSCAN. Selanjutnya untuk menilai metode mana yang terbaik untuk clustering dilakukan dengan membandingkan nilai rata-rata SC (Silhouette Coefficient) dari kedua metode tersebut. Hasil dari penelitian ini adalah rata-rata nilai SC metode HDBSCAN lebih baik dibandingkan dengan metode DBSCAN. HDBSCAN memiliki nilai SC rata-rata 0,2941, sedangkan metode DBSCAN hanya memiliki nilai SC rata-rata 0,1310.
Co-Authors Fatdo Wardani, Ika Kania Isnaini Rosyida