IMPROVING COMMUNITY HEALTH WORKERS’ KNOWLEDGE IN EARLY STUNTING DETECTION THROUGH ANTHROPOMETRIC TRAINING AND THE BERAKSI APPLICATION
Stunting remains a critical public health issue that impairs child growth and development. In Cibeber sub-district, 6.83% of the total 1,339 preschool‐aged children were stunted, with the highest rates observed in RW 08 (38 children), RW 06 (32), and RW 03 (22). According to Indonesian Ministry of...
Saved in:
| Main Authors: | , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
STIKes Budi Luhur Cimahi
2025-07-01
|
| Series: | Jurnal Kesehatan Budi Luhur |
| Online Access: | https://jurnal.stikesbudiluhurcimahi.ac.id/index.php/jkbl/article/view/431 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1849411957076000768 |
|---|---|
| author | Dyeri Susanti Selvi Putri Octaviani Tazkihatun Nufush |
| author_facet | Dyeri Susanti Selvi Putri Octaviani Tazkihatun Nufush |
| author_sort | Dyeri Susanti |
| collection | DOAJ |
| description |
Stunting remains a critical public health issue that impairs child growth and development. In Cibeber sub-district, 6.83% of the total 1,339 preschool‐aged children were stunted, with the highest rates observed in RW 08 (38 children), RW 06 (32), and RW 03 (22). According to Indonesian Ministry of Health Regulation No. 2/2020, stunting is defined as a height-for-age z-score below –2 SD. This study aimed to evaluate whether anthropometry training using the mobile application BERAKSI can improve community health workers’ knowledge of early stunting detection. Employing a descriptive quantitative design with a pre-test–post-test, we involved all 18 community health workers from Posyandu Rose A and B in RW 08, Cibeber. Pre-training, 56% (10) of community health workers demonstrated good knowledge, 33% (6) fair, and 11% (2) poor. Post-training, all community health workers (100%) achieved good knowledge. The findings indicate that comprehensive anthropometry training, combined with application-based guidance, significantly enhances community health workers’ knowledge. For accurate growth surveillance and record keeping in maternal–child health books, community health workers must possess standardized anthropometric skills and proficiency.
Keywords: Anthropometry, Stunting, BERAKSI application, Community health worker, Posyandu
|
| format | Article |
| id | doaj-art-1cd4aeb3f79647d7b882b04a4f0b1634 |
| institution | Kabale University |
| issn | 1978-8479 2581-0111 |
| language | English |
| publishDate | 2025-07-01 |
| publisher | STIKes Budi Luhur Cimahi |
| record_format | Article |
| series | Jurnal Kesehatan Budi Luhur |
| spelling | doaj-art-1cd4aeb3f79647d7b882b04a4f0b16342025-08-20T03:34:36ZengSTIKes Budi Luhur CimahiJurnal Kesehatan Budi Luhur1978-84792581-01112025-07-0118210.62817/jkbl.v18i2.431IMPROVING COMMUNITY HEALTH WORKERS’ KNOWLEDGE IN EARLY STUNTING DETECTION THROUGH ANTHROPOMETRIC TRAINING AND THE BERAKSI APPLICATIONDyeri Susanti0Selvi Putri Octaviani1Tazkihatun Nufush2STIKes Budi Luhur CimahiSTIKes Budi Luhur CimahiSTIKes Budi Luhur Cimahi Stunting remains a critical public health issue that impairs child growth and development. In Cibeber sub-district, 6.83% of the total 1,339 preschool‐aged children were stunted, with the highest rates observed in RW 08 (38 children), RW 06 (32), and RW 03 (22). According to Indonesian Ministry of Health Regulation No. 2/2020, stunting is defined as a height-for-age z-score below –2 SD. This study aimed to evaluate whether anthropometry training using the mobile application BERAKSI can improve community health workers’ knowledge of early stunting detection. Employing a descriptive quantitative design with a pre-test–post-test, we involved all 18 community health workers from Posyandu Rose A and B in RW 08, Cibeber. Pre-training, 56% (10) of community health workers demonstrated good knowledge, 33% (6) fair, and 11% (2) poor. Post-training, all community health workers (100%) achieved good knowledge. The findings indicate that comprehensive anthropometry training, combined with application-based guidance, significantly enhances community health workers’ knowledge. For accurate growth surveillance and record keeping in maternal–child health books, community health workers must possess standardized anthropometric skills and proficiency. Keywords: Anthropometry, Stunting, BERAKSI application, Community health worker, Posyandu https://jurnal.stikesbudiluhurcimahi.ac.id/index.php/jkbl/article/view/431 |
| spellingShingle | Dyeri Susanti Selvi Putri Octaviani Tazkihatun Nufush IMPROVING COMMUNITY HEALTH WORKERS’ KNOWLEDGE IN EARLY STUNTING DETECTION THROUGH ANTHROPOMETRIC TRAINING AND THE BERAKSI APPLICATION Jurnal Kesehatan Budi Luhur |
| title | IMPROVING COMMUNITY HEALTH WORKERS’ KNOWLEDGE IN EARLY STUNTING DETECTION THROUGH ANTHROPOMETRIC TRAINING AND THE BERAKSI APPLICATION |
| title_full | IMPROVING COMMUNITY HEALTH WORKERS’ KNOWLEDGE IN EARLY STUNTING DETECTION THROUGH ANTHROPOMETRIC TRAINING AND THE BERAKSI APPLICATION |
| title_fullStr | IMPROVING COMMUNITY HEALTH WORKERS’ KNOWLEDGE IN EARLY STUNTING DETECTION THROUGH ANTHROPOMETRIC TRAINING AND THE BERAKSI APPLICATION |
| title_full_unstemmed | IMPROVING COMMUNITY HEALTH WORKERS’ KNOWLEDGE IN EARLY STUNTING DETECTION THROUGH ANTHROPOMETRIC TRAINING AND THE BERAKSI APPLICATION |
| title_short | IMPROVING COMMUNITY HEALTH WORKERS’ KNOWLEDGE IN EARLY STUNTING DETECTION THROUGH ANTHROPOMETRIC TRAINING AND THE BERAKSI APPLICATION |
| title_sort | improving community health workers knowledge in early stunting detection through anthropometric training and the beraksi application |
| url | https://jurnal.stikesbudiluhurcimahi.ac.id/index.php/jkbl/article/view/431 |
| work_keys_str_mv | AT dyerisusanti improvingcommunityhealthworkersknowledgeinearlystuntingdetectionthroughanthropometrictrainingandtheberaksiapplication AT selviputrioctaviani improvingcommunityhealthworkersknowledgeinearlystuntingdetectionthroughanthropometrictrainingandtheberaksiapplication AT tazkihatunnufush improvingcommunityhealthworkersknowledgeinearlystuntingdetectionthroughanthropometrictrainingandtheberaksiapplication |