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.

Rumah layak huni (RLH) merupakan salah satu determinan sosial kesehatan yang berperan penting dalam menurunkan risiko penyakit berbasis lingkungan, meningkatkan kesehatan fisik dan mental, serta mendukung tercapainya derajat kesehatan masyarakat. Meskipun demikian, pada tahun 2025 proporsi rumah tangga yang menempati rumah layak huni di Provinsi Jawa Barat baru mencapai 58,46%, sehingga masih menunjukkan disparitas antarwilayah. Penelitian ini bertujuan untuk menganalisis hubungan determinan struktural serta determinan lingkungan dan geografis dengan proporsi rumah layak huni pada tingkat kecamatan di wilayah klaster terpilih Provinsi Jawa Barat tahun 2025 dengan mempertimbangkan heterogenitas spasial. Penelitian menggunakan desain studi ekologi menggunakan data sekunder tahun 2025 dengan unit analisis sebanyak 136 kecamatan yang mencakup Kota Bandung, Kota Cimahi, Kabupaten Bandung, Kabupaten Bandung Barat, Kabupaten Sumedang, dan Kabupaten Subang. Analisis dilakukan menggunakan pendekatan spasial melalui pemodelan Geographically Weighted Regression (GWR). Hasil penelitian menunjukkan bahwa model GWR menghasilkan nilai R-Square sebesar 0,709 yang menunjukkan bahwa model mampu menjelaskan 70,9% variasi capaian RLH. Variabel yang signifikan pada seluruh kecamatan meliputi proporsi kepala keluarga laki-laki, proporsi kepala keluarga berpendidikan SMA/PT, dan ketinggian wilayah. Sementara itu, rata-rata jumlah anggota keluarga, proporsi keluarga yang mampu memenuhi kebutuhan pokok, dan proporsi keluarga yang memiliki rumah sendiri signifikan pada sebagian besar wilayah, sedangkan rasio ketergantungan, proporsi keluarga yang memiliki aset, dan kepadatan penduduk menunjukkan hubungan yang bersifat lokal dan heterogen antarwilayah. Hasil sintesis spasial menunjukkan adanya variasi kompleksitas determinan antarwilayah, dengan Bandung Raya memiliki pola determinan yang relatif seragam, Kabupaten Sumedang menunjukkan fenomena transisi spasial, dan Kabupaten Subang memiliki kompleksitas determinan yang lebih beragam. Penelitian ini menyimpulkan bahwa hubungan antara determinan struktural serta determinan lingkungan dan geografis dengan capaian rumah layak huni bersifat heterogenitas spasial.

Adequate housing (Rumah Layak Huni/RLH) is one of the social determinants of health that plays an important role in reducing the risk of environmentally related diseases, improving physical and mental health, and supporting the achievement of better population health outcomes. However, in 2025, only 58.46% of households in West Java Province occupied adequate housing, indicating persistent disparities across regions. This study aimed to analyze the association between structural determinants and environmental and geographical determinants with the proportion of adequate housing at the sub-district level in selected cluster areas of West Java Province in 2025 while accounting for spatial heterogeneity. This study employed an ecological study design using secondary data from 2025, with 136 sub-districts as the units of analysis, covering the City of Bandung, Cimahi City, Bandung Regency, West Bandung Regency, Sumedang Regency, and Subang Regency. Spatial analysis was conducted using the Geographically Weighted Regression (GWR) model. The results showed that the GWR model achieved an R-squared value of 0.709, indicating that the model explained 70.9% of the variation in adequate housing across the study area. Variables that were significantly associated with adequate housing in all sub-districts included the proportion of male household heads, the proportion of household heads with senior high school or higher education, and elevation. Meanwhile, the average household size, the proportion of households able to meet their basic needs, and the proportion of owner-occupied households were significant in most areas. In contrast, the dependency ratio, the proportion of households owning assets, and population density exhibited spatially varying and heterogeneous relationships across sub-districts. Spatial synthesis further revealed variations in the complexity of determinants across regions, with the Bandung Metropolitan Area showing relatively homogeneous determinant patterns, Sumedang Regency exhibiting a spatial transition pattern, and Subang Regency demonstrating the greatest complexity of determinants. This study concludes that the relationships between structural determinants, environmental and geographical determinants, and adequate housing exhibit spatial heterogeneity.

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)