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All Journal Jurnal Penelitian dan Evaluasi Pendidikan TAZKIYA JOURNAL OF PSYCHOLOGY JURNAL PENDIDIKAN KEPERAWATAN INDONESIA Jurnal Pengukuran Psikologi dan Pendidikan Indonesia (JP3I) GIZI INDONESIA An Idea Health Journal
Jahja Umar
Fakultas Psikologi Universitas Islam Negeri Jakarta
Decision Sciences, Operations Research & Management Dentistry Education Health Professions Medicine & Pharmacology Nursing Public Health Social Sciences

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Pengaruh ukuran sampel dan intraclass correlation coefficients (ICC) terhadap bias estimasi parameter multilevel latent variable modeling: studi dengan simulasi Monte Carlo Putra, Muhammad Dwirifqi Kharisma; Umar, Jahja; Hayat, Bahrul; Utomo, Agung Priyo
Jurnal Penelitian dan Evaluasi Pendidikan Vol. 21 No. 1 (2017)
Publisher : Graduate School, Universitas Negeri Yogyakarta in cooperation with Himpunan Evaluasi Pendidikan Indonesia (HEPI) Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (96.024 KB) | DOI: 10.21831/pep.v21i1.12895

Abstract

Studi ini menggunakan simulasi Monte Carlo dilakukan untuk melihat pengaruh ukuran sampel dan intraclass correlation coefficients (ICC) terhadap bias estimasi parameter multilevel latent variable modeling. Kondisi simulasi diciptakan dengan beberapa faktor yang ditetapkan yaitu lima kondisi ICC (0.05, 0.10, 0.15, 0.20, 0.25), jumlah kelompok (30, 50, 100 dan 150), jumlah observasi dalam kelompok (10, 20 dan 50) dan diestimasi menggunakan lima metode estimasi: ML, MLF, MLR, WLSMV dan BAYES. Jumlah kondisi keseluruhan sebanyak 300 kondisi dimana tiap kondisi direplikasi sebanyak 1000 kali dan dianalisis menggunakan software Mplus 7.4. Kriteria bias yang masih dapat diterima adalah < 10%. Hasil penelitian ini menunjukkan bahwa bias yang terjadi dipengaruhi oleh ukuran sampel dan ICC, penelitian ini juga menujukkan bahwa metode estimasi WLSMV dan BAYES berfungsi lebih baik pada berbagai kondisi dibandingkan dengan metode estimasi berbasis ML.Kata kunci: multilevel latent variable modeling, intraclass correlation coefficients, Metode Markov Chain Monte Carlo THE IMPACT OF SAMPLE SIZE AND INTRACLASS CORRELATION COEFFICIENTS (ICC) ON THE BIAS OF PARAMETER ESTIMATION IN MULTILEVEL LATENT VARIABLE MODELING: A MONTE CARLO STUDYAbstractA monte carlo study was conducted to investigate the effect of sample size and intraclass correlation coefficients (ICC) on the bias of parameter estimates in multilevel latent variable modeling. The design factors included (ICC: 0.05, 0.10, 0.15, 0.20, 0.25), number of groups in between level model (NG: 30, 50, 100 and 150), cluster size (CS: 10, 20 and 50) to be estimated with five different estimator: ML, MLF, MLR, WLSMV and BAYES. Factors were interegated into 300 conditions (4 NG  3 CS  5 ICC  5 Estimator). For each condition, replications with convergence problems were exclude until at least 1.000 replications were generated and analyzed using Mplus 7.4, we also consider absolute percent bias <10% to represent an acceptable level of bias. We find that the degree of bias depends on sample size and ICC. We also show that WLSMV and BAYES estimator performed better than ML-based estimator across varying sample sizes and ICC's conditions.Keywords: multilevel latent variable modeling, intraclass correlation coefficients, Markov Chain Monte Carlo method
The Effect of A White Noise on Sleep Quality Among Critically Ill Patients in Indonesia: A Randomized Controlled Trial Nurhayati, Nunung; Waluyo, Agung; Kariasa, I Made; Jahja, Umar
Jurnal Pendidikan Keperawatan Indonesia Vol 11, No 2 (2025): Volume 11, Nomor 2, Desember 2025
Publisher : Universitas Pendidikan Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17509/jpki.v11i2.93926

Abstract

Introduction:Sleep disturbance is a frequent problem among critically ill patients and may adversely affect recovery. White noise has been proposed as a non-pharmacological approach to reduce environmental disruption and improve sleep; however, evidence from Indonesian intensive care units (ICUs) is currently lacking. Objectives:This study aimed to evaluate the effect of white noise exposure on sleep quality among critically ill patients treated in ICUs in Indonesia. Methods: A randomized controlled trial was performed in the ICUs of three public hospitals in West Java, Indonesia, involving adult ICU patients. The intervention group received white noise twice daily for three days, while controls received standard care. Sleep quality was measured using the RCSQ and analyzed with repeated-measures ANOVA, Cohen’s d, and GEE models. Results: Final analyses included 25 participants in the intervention group and 25 in the control group. Sleep quality in the intervention group showed a significant improvement at the third measurement point, with a moderate effect size (d = 0.42). No significant changes were observed in the control group. GEE analysis demonstrated a significantly greater improvement in sleep quality in the intervention group compared with the control group after three days (β = 6.43, p 0.001). Conclusions:White noise intervention was associated with improved sleep quality among critically ill ICU patients. These findings support the incorporation of acoustic management strategies into ICU care to enhance patient comfort and recovery.
Caring Personality Traits Among Indonesian Nursing Students and Clinical Nurses: A Cross-Sectional Study Kuntarti Kuntarti; Yeni Rustina; Jahja Umar; Dewi Irawaty
An Idea Health Journal Vol 6 No 02 (2026)
Publisher : PT.Mantaya Idea Batara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53690/ihj.v6i02.716

Abstract

Background: Caring is fundamental to professional nursing practice and identity. However, limited research has examined the caring personality trait among Indonesian nursing students and nurses. Methods: This cross-sectional study examined these traits and analyzed subgroup differences among nursing professional students and clinical nurses using the Inventori Kepribadian untuk Ners–Praktis (IKUN-P). The IKUN-P demonstrated strong internal consistency (Cronbach’s alpha 0.824–0.902). Data were collected from 488 participants across three Indonesian regions through convenience sampling. Results: The majority of participants were female (72.75%) and 25 years old or younger (46.31%). Among the five traits assessed, optimism had the highest mean score (33.29 ± 4.75), reflecting a generally positive outlook. Emotional intelligence the lowest mean score (30.48 ± 4.83), indicating a potential area for educational and professional development. Analysis identified significant regional differences in emotional intelligence (p=0.046), optimism (p=0.043), emotional stability (p=0.007), and personal integrity (p=0.004). Most traits did not differ by age, gender, education, work experience, or respondent type (p>0.05). Limitations of the study include its cross-sectional design, self-report measures, and convenience sampling. Conclusion: The results indicate that programs promoting emotional intelligence and optimism could support caring behavior and professional performance among nursing students and nurses.
Co-Authors Agung Priyo Utomo Agung Waluyo Agus Firmansyah Agus Firmansyah Agustin Yolandari Bahrul Hayat, Bahrul Bina Ciptadi Dewi Irawaty I Made Kariasa Isnidiniyah Pratiwi Kuntarti Muhammad Dwirifqi Kharisma Putra Nisa, Yunita Faela Nunung Nurhayati Putra, Muhammad Dwirifqi Kharisma Risatianti Kolopaking Risatianti Kolopaking Risatianti Kolopaking, Risatianti Umi Fahmida Umi Fahmida Wardani Rahayu Yeni Rustina Zulfa Indira