Keywords: children, DDST II, early detection, development ABSTRAKAnak balita merupakan usia yang rentan untuk terjadinya masalah gangguan perkembangan. DDST adalah salah satu metode skrining terhadap kelainan perkembangan anak. Penilaian DDST ini menilai perkembangan anak dalam empat sektor, yaitu penilaian terhadap personal sosial, motorik halus, bahasa, dan motorik kasar. Tujuan penelitian ini untuk melihat tingkat perkembangan anak dengan penilaian DDST. Penelitian ini dilaksanakan di 7 Posyandu yang ada di wilayah kerja Puskesmas Samarinda. Teknik pengambilan sampel dengan menggunakan purposive sampling. Sampel penelitian adalah anak balita usia 1-5 tahun sebanyak 113 balita. Pengumpulan data diperoleh melalui pengujian langsung terhadap anak yang bersangkutan melalui tes DDST II dan melakukan wawancara dengan orang tua responden. Analisis data menggunakan Univariat dengan mencari distribusi frekuensi. Hasil kesimpulan keseluruhan aspek perkembangan pada balita menggunakan metode DDST II didapatkan perkembangan anak normal berjumlah 93 balita (82.3%), abnormal ada 2 balita (1.8%), dan suspect ada 18 balita (15.9%).
A lecturer with a good performance has a positive impact on the quality of teaching and learning. The said quality includes the delivery of teaching materials, learning methods, and ultimately the academic results of students. Performance of lecturers contributes significantly to the quality of research and community service which in turn improves the quality of teaching materials. It is desirable, therefore, to have a method to measure the performance of lecturers in carrying out the Tri Dharma (or the three responsibility) activities, which consist of teaching and learning process, research, and community service activities, including publications at both national and international level. This study seeks to measure the performance of lecturers and cluster them into three categories, namely "satisfactory", "good", and "poor". Data were taken from academic works of nursing study program lecturers in conducting academic activities. Clustering process is carried out using two machine learning approaches, which is K-Means and K-Medoids algorithms. Evaluation of the clustering results suggests that K-Medoids algorithm performs better compared to using K-Means. DBI score for clustering techniques using K-Means is -0.417 while the score for K-Medoids is -0.652. The significant difference in the score shows that K-Medoids algorithm works better in determining the performance of lecturers in carrying out Tri Dharma activities.
Exclusive breastfeeding has a great contribution to the growth and development and endurance of children. According to the World Health Organization (WHO) in the Indonesian Ministry of Health (2017), exclusive breastfeeding is breast milk that is given to babies from birth for 6 months, without adding and/or replacing with other foods or drinks. There are several factors that can affect the exclusive breastfeeding. This study aims to determine what factors associated exclusive breastfeeding in the working area of Harapan Baru Public Health Center, Samarinda. The research design used in this research is descriptive correlational. The sample in this study amounted to 107 infants aged 6-12 months. The sampling technique used cluster sampling. Data collection was carried out using a questionnaire. The data analysis technique used Chi Square. The results showed that the factors that associated exclusive breastfeeding in the work area of the Harapan Baru Public Health Center, Samarinda were the parity (0.038 < 0.05), employment status (0.040 < 0.05), socioeconomic status (0.017 < 0.05), family support (0.006 < 0.05), early initiation of breastfeeding (0.009 < 0.05). The factors most related to exclusive breastfeeding are family support and early initiation of breastfeeding.
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