Jurusan Teknik Radiodiagnostik Politeknik Kesehatan Jakarta II merupakan institusi yang mencetak insan profesi di bidang radiografi yang lulusannya dituntut mempunyai kualitas dan profesionalisme yang tinggi menghadapi era globalisasi. Pada realitasnya menunjukkan bahwa nilai prestasi belajar mahasiswanya rata-rata hanya 2,58 belum mencapai pada tingkat prestasi yang baik, demikian pula hasil nilai ujian masuk mahasiswanya rata-rata hanya 33,18 masih sangat rendah. Penelitian ini membahas tentang hubungan nilai ujian masuk terhadap prestasi belajar mahasiswa dengan berbagai faktor konfoundingnya dan hubungan motivasi belajar terhadap prestasi belajar dengan berbagai faktor konfoundingnya. Metode penelitian menggunakan cross sectional, dengan analisis statistik menggunakan uji korelasi, uji T, uji Anova, dan Regresi linier ganda. Hasil analisis statistik multivariat regresi linier ganda menunjukkan adanya hubungan positif dan linier antara nilai ujian masuk dengan prestasi belajar mahasiswa setelah dikontrol oleh variabel konfounding jenis kelamin dan interaksi (nilai ujian masuk, jenis kelamin). Nilai R= 0,697, nilai R2 0,486, nilai R2 adjusted = 0,477. Model Regresi Linier yang diperoleh dengan persamaan matematis sebagai berikut : Prestasi Belajar = 2,047 + 0,01211 Nilai Ujian Masuk - 2,039 Jenis Kelamin - 0,835 Nilai Ujian Masuk Jenis Kelamin. Hasil analisis statistik multivariat regresi liner ganda motivasi dengan prestasi belajar mahasiswa (P value= 0,793) tidak mempunyai hubungan bermakna setelah dikontrol oleh variabel konfounding pembagian kelas, sikap, sekolah menengah jurusan(1), tingkat(l), status mahasiswa, jenis kelamin, sekolah menengah jurusan(2), dan nilai ujian masuk. Nilai R-- 0,639, nilai R2 = 0,408, nilai R2 adjusted = 0,377. Dengan persamaan matematis : Prestasi Belajar = 2,242 + 0,000877 Motivasi + 0,05591 Kelas - 0,00215 Sikap - 0,126 Jurusan SMU(2) - 0,0732 tingkat(l) - 0,14 status mahasiswa + 0,221 jenis kelamin - 0,42 Jurusan SMU(1) + 0,01398 nilai ujian masuk. Nilai Ujian Masuk mempunyai pengaruh yang signifikan terhadap prestasi belajar mahasiswa setelah dikontrol oleh variabel jenis kelamin dan interaksinya (nilai ujian masuk jenis kelamin). Untuk memperoleh calon mahasiswa Teknik Radiodiagnostik yang berkualitas maka harus menetapkan hasil ujian masuk yang terbaik dengan menentukan nilai batas lulus minimal 50 dengan kategori lulus 4 mata uji atau 3 mata uji. Walaupun hubungan motivasi dengan prestasi belajar berdasarkan analisis statistik tidak signifikan, ada faktor lain yang berpengaruh terhadap prestasi belajar mahasiswa yang harus menjadi perhatian penting bagi institusi pendidikan Teknik Radiodiagnostik dalam merancang kegiatan belajar mengajar guna menghasilkan mutu mahasiswa yang berprestasi baik. Daftar bacaan : 65 (1984 -- 2003)

The Relationship Between the Score of Admission Test and Motivation with Learning Achievement of the Students of Radiodiagnostic Technic of Health Polytechnic Jakarta II, Ministry Of Health in 2003Department of Radio diagnostic Technic of Health Polytechnic Jakarta II is an institution which produce the professional of radiographers and high qualified graduation facing the globalization. The evidence show the mean of student score during study only 2.58. That score mean the achievement grade is still not good enough, while the mean score of admission test only 33.18. This research study about relationship between the score of admission test with the learning achievement and the various confounding factor and also the relationship between motivation with the learning achievement and the various confounding factor. The study design is cross sectional, with statistical analysis using Correlation test, T-tes, ANOVA test, and Multiple Linear Regression. The result of bivariate analysis showed that the variable that correlate with the learning achievement of student were sex, the major of high school background, type of class, status of student, grade, and the score of admission test, while the variable that has not correlation with the learning achievement of student were age, allowance, attitude, perception about lecturer, body mass index (the nutritional status), education level of father, education level of mother, residence, motivation, and the background of high school region. The result analysis of multivariate using multiple linear regression indicate positive correlation between the score of admission test with the learning achievement of the student after controlled by confounding variable of sex and interaction (the score of admission test and sex), the significance value is 0,000. R value = 0,697. R2 value = 0,486, R2 adjusted value = 0,477. The mathematic model of multiple linear regression: the learning achievement = 2.047 + 0,01211 the score of admission test - 2.039 sex - 0,835 sex*the score of admission test. The result analysis of multivariate using multiple linear regression indicate correlation between motivation with the learning achievement of the student not significant (P value = 0,793) after controlled by confounding variable type of class, attitude, major of high school(2), grade(1), status of student, sex, major of high school(1), and the score of admission test. R. value = 0,639 R2 value = 0,408, and R2 adjusted = 0,377. The mathematic model of multiple linear regression is the learning achievement = 2,242 + 0,0008775 Motivation + 0,05591 type of class - 0,00215 Attitude - 0,126 Major of Highschool(2) - 0,0732 grade(l) - 0,140 status + 0,221 sex - 0,420 Major ofHlghschool(1) + 0,01398 the score of admission test. The score of admission test had influence to the learning achievement of the student after controlled by variable sex and interaction (sex *the score of admission test). To recruite the best candidates of students, so the departement must recomended the best of qualification with the passing grade of 50 or the condition pass in 4 or 3 examination subject. Although, with statistic analysis showed there is no relationship between motivation with the learning achievement, some another factor have influence the learning achievement of student, so it is important to Departement of Radiodiagnostic Technic to design educational process to produce the qualified graduation. Refferences: 65 (1984 -2003)

Pemerintah Indonesia telah menyusun kebijakan nasional eliminasi penularan HIV, sifilis, dan hepatitis B dari ibu ke anak sejak tahun 2017 melalui pemeriksaan triple eliminasi yang diintegrasikan dalam pelayanan antenatal care (ANC). Meskipun kebijakan telah tersedia, implementasinya masih menunjukkan variasi antarprovinsi, termasuk di Pulau Jawa dan Bali. Proporsi pemeriksaan triple eliminasi lengkap di Pulau Jawa dan Bali sebesar 76,10%, dengan proporsi tertinggi di Bali (92,23%) dan terendah di Jawa Barat (59,70%). Sebelum memperhitungkan faktor individu dan kontekstual kabupaten/kota, 16,38% variasi pemeriksaan triple eliminasi lengkap dapat dijelaskan oleh perbedaan antarkabupaten/kota. Hasil analisis multilevel menunjukkan bahwa pendidikan ibu (AOR=1,402; 95% CI: 1,167–1,685; p=0,000), kepemilikan Jaminan Kesehatan Nasional (AOR=1,357; 95%CI: 1,113–1,656; p=0,002), partisipasi dalam kelas ibu hamil (AOR=1,397; 95%CI: 1,169–1,670; p=0,000), dan kunjungan ANC sesuai standar (AOR=1,650; 95%CI: 1,395–1,951; p=0,000) berhubungan dengan odds yang lebih tinggi untuk memperoleh pemeriksaan triple eliminasi lengkap. Sebaliknya, peningkatan usia ibu (AOR=0,980;95%CI: 0,965–0,996; p=0,016) dan ANC rutin di praktik bidan mandiri/klinik bersalin (AOR=0,727; 95% CI: 0,576–0,917; p=0,007) berhubungan dengan odds yang lebih rendah. Rasio bidan, rasio ATLM, rasio puskesmas per 1.000 ibu hamil, dan rasio kapasitas fiskal kabupaten/kota tidak berhubungan dengan odds pemeriksaan triple eliminasi lengkap. Temuan penelitian ini menunjukkan bahwa faktor individu lebih berperan terhadap peluang ibu hamil memperoleh pemeriksaan triple eliminasi lengkap. Namun, setelah memperhitungkan seluruh variabel dalam model, masih terdapat 13,61% variasi antarkabupaten/kota yang belum dapat dijelaskan oleh faktor-faktor kontekstual kabupaten/kota yang dianalisis dalam penelitian ini.

The Indonesian government has implemented a national policy to eliminate mother-to-child transmission of HIV, syphilis, and hepatitis B since 2017 through triple elimination screening integrated into antenatal care (ANC) services. Despite the existence of this policy, its implementation continues to vary across provinces, including those in Java and Bali. The proportion of pregnant women who received complete triple elimination screening in Java and Bali was 76.10%, with the highest proportion in Bali (92.23%) and the lowest in West Java (59.70%). Before accounting for individual- and district/city-level contextual factors, 16.38% of the variation in complete triple elimination screening was attributable to differences between districts/cities. Multilevel analysis showed that maternal education (AOR=1.402; 95% CI: 1.167–1.685; p<0.001), National Health Insurance (JKN) membership (AOR=1.357; 95% CI: 1.113–1.656; p=0.002), participation in pregnancy classes (AOR=1.397; 95% CI: 1.169–1.670; p<0.001), and receiving ANC according to the recommended standard (AOR=1.650; 95% CI: 1.395–1.951; p<0.001) were associated with higher odds of receiving complete triple elimination screening. In contrast, increasing maternal age (AOR=0.980; 95% CI: 0.965–0.996; p=0.016) and routinely receiving ANC at independent midwifery practices or maternity clinics (AOR=0.727; 95% CI: 0.576–0.917; p=0.007) were associated with lower odds of receiving complete triple elimination screening. The ratios of midwives, medical laboratory technologists, primary health centers per 1,000 pregnant women, and district/city fiscal capacity were not associated with the odds of receiving complete triple elimination screening. These findings indicate that individual-level factors play a greater role in determining pregnant women's likelihood of receiving complete triple elimination screening. However, after accounting for all variables in the model, 13.61% of the variation between districts/cities remained unexplained, suggesting the presence of other district/city-level contextual factors that were not included in this study.

Pada tahun 2023, lebih dari 50% kasus baru HIV di Indonesia berada di pulau jawa. Berdasarkan faktor risiko yang teridentifikasi, penyebaran terbesar berasal dari homoseksual 31% yang terdiri atas 30% kelompok LSL dan 1% Waria. Studi ini bertujuan untuk dapat mengetahui apa determinan sosial perilaku yang berhubungan dengan kejadian HIV pada kelompok LSL dan Waria di Pulau Jawa berdasarkan data STBP 2018. Desain Studi yang digunakan adalah kuantitatif dengan pendekatan studi cross-sectional pada 2555 responden LSL dan 1967 responden Waria. Hasil studi ini menunjukkan prevalensi HIV pada kelompok LSL di Pulau Jawa sebesar 19%, dan pada kelompok Waria sebesar 13,6%. Pada kelompok LSL, Usia ≥ 26 Tahun, status perkawinan yang belum kawin, status sifilis positif, dan status TBC positif merupakan faktor risiko pada kejadian HIV pada kelompok LSL di Pulau Jawa. Positif TBC menjadi faktor risiko paling dominan dengan peluang sebesar 3x meningkatkan terinfeksi HIV. Sementara itu, pada kelompok Waria, pengetahuan HIV yang rendah, penggunaan NAPZA suntik, status sifilis positif dan status TBC positif merupakan faktor risiko pada kejadian HIV pada kelompok Waria di Pulau Jawa. Positif sifilis menjadi faktor risiko paling dominan dengan peluang sebesar 3,8x meningkatkan terinfeksi HIV. Kementerian kesehatan dapat meningkatkan layanan berupa petunjuk teknis (Juknis) layanan terpadu HIV-Sifilis-TBC khusus populasi kunci atau pedoman peran layanan berbasis komunitas. Selain itu peningkatakan integrasi layanan pengobatan baik IMS maupun TB dengan HIV dapat dilakukan untuk memudahkan LSL dan Waria. LSM dapat meningkatkan layanan skrining "Jemput Bola" di ruang aman, serta meningkatkan pengetahuan HIV yang komprehensif pada Waria seperti pertemuan berkala dan juga penentuan community leader. Memperkuat upaya pendampingan untuk meningkatkan akses dan retensi layanan HIV, IMS, dan TB bagi LSL dan Waria

Java Island, as the most populous region in Indonesia, has become the epicenter of HIV/AIDS transmission. In 2023, it was reported that more than 50% of newly identified HIV cases in Indonesia occurred in Java. Based on identified risk factors, the largest proportion of cases (31%) was attributed to homosexual transmission, comprising 30% among men who have sex with men (MSM) and 1% among transgender women. This study aims to identify the social and behavioral determinants associated with HIV infection among MSM and transgender women in Java, using data from the 2018 Integrated Biological and Behavioral Survey (IBBS). The study employed a quantitative design with a cross-sectional approach involving 2,555 MSM and 1,967 transgender women respondents. The findings showed that HIV prevalence among MSM in Java was 19%, while among transgender women it was 13.6%. Among MSM, the significant risk factors for HIV infection were age ≥ 26 years, being unmarried, positive syphilis status, and positive tuberculosis (TB) status. TB was the most dominant risk factor, increasing the likelihood of HIV infection by threefold. Among transgender women, risk factors included low HIV knowledge, injecting drug use, positive syphilis status, and positive TB status. Syphilis was identified as the most dominant risk factor, increasing the risk of HIV infection by 3.8 times. The Ministry of Health needs encouraged to enhance services through the development of integrated technical guidelines for HIV–Syphilis–TB services tailored to key populations, as well as community-based service frameworks. Detection and treatment services for sexually transmitted infections (STIs) and TB should be integrated and made specifically accessible to MSM and transgender women. Civil society organizations can strengthen community-based screening services through mobile outreach strategies in safe spaces and increase comprehensive HIV knowledge among transgender women through regular meetings and the empowerment of community leaders. Strengthening peer support and outreach programs is also crucial to improve access to and retention in HIV, STI, and TB services for MSM and transgender populations.

Obesity is a global health problem with a steadily increasing prevalence, including in Indonesia. Among children and adolescents, obesity is influenced by various factors such as genetics, environment, dietary patterns, and socioeconomic status. However, research specifically focusing on obesity within this age group remains limited. This study aims to examine the prevalence and determinants of obesity among children and adolescents in Indonesia using data from the 2023 Indonesia Health Survey (SKI). A cross-sectional study design was employed, with a total sample of 115,053 household members aged 5–19 years who met the inclusion and exclusion criteria. The results showed an obesity prevalence of 7.9% (95% CI: 7.6–8.1). Factors significantly associated with increased obesity risk included: male gender [AOR 1.56; 95% CI: 1.451–1.678], higher maternal education [AOR 1.197; 95% CI: 1.106–1.296], working mothers [AOR 1.14; 95% CI: 1.063–1.223], urban residence [AOR 1.27; 95% CI: 1.176–1.370], highest socioeconomic status [AOR 1.791; 95% CI: 1.548–2.032], low physical activity [AOR 1.534; 95% CI: 1.230–1.913], consumption of processed food more than once a day [AOR 1.27; 95% CI: 1.009–1.242], and fruit and vegetable intake of at least one portion per day [AOR 1.142; 95% CI: 1.060–1.227]. These findings underscore the importance of targeted health promotion interventions addressing these factors to prevent and control obesity among children and adolescents in Indonesia.  

ISPA (Infeksi Saluran Pernapasan Akut) merupakan salah satu penyebab utama morbiditas balita di Indonesia, dengan prevalensi sebesar 36,9% pada tahun 2024 dan menunjukkan peningkatan dibandingkan tahun sebelumnya. Berdasarkan data Kementerian Kesehatan, prevalensi ISPA pada balita tertinggi terdapat di Pulau Jawa (38,4%-49,1%). Penelitian ini bertujuan mengidentifikasi wilayah hotspot dan coldspot ISPA di Pulau Jawa serta menganalisis determinannya menggunakan data SSGI 2024. Hotspot didefinisikan sebagai wilayah dengan kejadian tinggi yang dikelilingi wilayah berkejadian tinggi, sedangkan coldspot merupakan kondisi sebaliknya. Analisis pola spasial dilakukan menggunakan Moran's I dan Getis-Ord Gi*, sementara hubungan antarvariabel dianalisis dengan regresi logistik multilevel tiga level (individu, rumah tangga, dan kabupaten/kota). Hasil analisis, diketahui adanya autokorelasi spasial (Moran's I=0,220; p=0,001) dengan 15 kabupaten/kota sebagai hotspot yang sebagian besar berada di Jawa Barat dan Banten, serta 7 kabupaten/kota sebagai coldspot yang berada di Jawa Timur bagian timur dan sebagian Jawa Tengah. Wilayah hotspot meningkatkan risiko ISPA (OR=1,725; 95%CI:1,05-2,52) dan coldspot bersifat protektif (OR=0,58; 95%CI: 0,33-1,04). Faktor risiko signifikan lainnya meliputi jenis kelamin laki-laki (OR=1,05; 95%CI: 1,00-1,10), usia (OR=1,03; 95%CI: 1,00-1,04), wasting (OR=1,15; 95%CI: 1,03-1,29), underweight (OR=1,31; 95%CI: 1,19-1,43), overweight (OR=0,75; 95%CI: 0,63-0,89), pendidikan ibu rendah (OR=1,11; 95%CI: 1,05-1,18), ibu bekerja (OR=0,94; 95%CI: 0,89-0,99), sosial ekonomi kuintil terbawah (OR=1,16; 95%CI: 1,04-1,28), kepadatan hunian tidak memenuhi syarat (OR = 1,17; 95%CI: 1,07-1,29), dan kepadatan penduduk (OR = 1,04; 95%CI: 1,00-1,08). Nilai ICC rumah tangga 0,589 dan kabupaten/kota 0,064 pada full model mengindikasikan adanya variasi antar klaster dan membenarkan penggunaan model multilevel. Distribusi ISPA di Pulau Jawa menunjukkan pola spasial yang bermakna dengan perbedaan risiko yang signifikan antara wilayah hotspot dan coldspot berdasarkan faktor individu, keluarga, dan wilayah. Temuan ini menegaskan perlunya intervensi kesehatan berbasis wilayah dengan prioritas pada kabupaten/kota hotspot.

Acute Respiratory Infections (ARI) represent one of the leading causes of morbidity among children under five in Indonesia, with a prevalence of 36.9% in 2024, representing an increase from the preceding year. Based on data from the Ministry of Health, the highest prevalence of ARI among children under five is found in Java Island (38.4%–49.1%). This study aimed to identify hotspot and coldspot areas of ARI in Java Island and to analyze their determinants using data from the 2024 SSGI. Hotspots are defined as high-incidence areas surrounded by neighboring areas of similarly elevated incidence, whereas coldspots represent the opposite condition. Spatial pattern analysis was conducted using Moran's I and Getis-Ord Gi*, while associations between variables were examined using three-level multilevel logistic regression at the individual, household, and district/city levels. The results revealed the presence of spatial autocorrelation (Moran's I = 0.220; p = 0.001), with 15 districts and cities identified as hotspots, predominantly located in West Java and Banten, and 7 districts and cities identified as coldspots, situated in eastern East Java and parts of Central Java. Hotspot classification was associated with a significantly increased risk of ARI (OR = 1.725; 95% CI: 1.05–2.52), while coldspot classification was found to be protective (OR = 0.58; 95% CI: 0.33–1.04). Other significant risk factors included male sex (OR = 1.05; 95% CI: 1.00–1.10), age (OR = 1.03; 95% CI: 1.00–1.04), wasting (OR = 1.15; 95% CI: 1.03–1.29), underweight (OR = 1.31; 95% CI: 1.19–1.43), overweight (OR = 0.75; 95% CI: 0.63–0.89), low maternal education (OR = 1.11; 95% CI: 1.05–1.18), maternal employment (OR = 0.94; 95% CI: 0.89–0.99), lowest socioeconomic quintile (OR = 1.16; 95% CI: 1.04–1.28), household overcrowding not meeting standard requirements (OR = 1.17; 95% CI: 1.07–1.29), and population density (OR = 1.04; 95% CI: 1.00–1.08). The intraclass correlation coefficients (ICC) at the household level (0.589) and district/city level (0.064) in the full model indicated the presence of between-cluster variation, thereby justifying the use of a multilevel modeling approach. The distribution of ARI in Java Island demonstrated a significant spatial pattern, with meaningful risk differences between hotspot and coldspot areas attributable to individual, household, and regional factors. These findings underscore the need for area-based health interventions, with priority given to districts and cities identified as hotspots.