Authors :
Aji Saipul Rakhman; Sukini; Supriyana
Volume/Issue :
Volume 11 - 2026, Issue 4 - April
Google Scholar :
https://tinyurl.com/37h74ub4
Scribd :
https://tinyurl.com/4nhmyzdm
DOI :
https://doi.org/10.38124/ijisrt/26apr1867
Note : A published paper may take 4-5 working days from the publication date to appear in PlumX Metrics, Semantic Scholar, and ResearchGate.
Abstract :
Gingivitis is one of the most common gingival health problems among pregnant women, influenced by hormonal
changes, lack of knowledge, and improper toothbrushing technique. Early detection of gingival conditions and proper
toothbrushing skills are important factors in preventing periodontal disease. However, gingival examination is still mostly
performed manually and has not yet been integrated into an easily accessible digital system for independent use. An
innovation that may enhance early detection and monitoring of gingival health is the web-based SIGI (Dental Health
Information System) equipped with SIGI-Scan and SIGI-Brush features, expected to improve tooth brushing skills and
independent gingivitis detection. To develop an innovative web-based SIGI (Dental Health Information System) model
that is effective, efficient, and feasible to implement in improving toothbrushing skills and early detection of gingivitis
among pregnant women. This study employed a Research and Development (R&D) method with quantitative and
qualitative approaches. The research stages included needs identification, system design and development, expert
validation, feasibility test 1, and feasibility test 2. The study design used a pre-experimental one group pre-posttest design.
Data collection techniques included interviews, observations, and questionnaires. Data were analyzed using a nonparametric test. The research sample consisted of 30 pregnant women at Puskesmas Citeras who were given SIGI
application intervention for 14 days. Expert validation showed p = 0.000, indicating that SIGI is feasible to use.
Effectiveness testing showed that SIGI significantly improved toothbrushing skills and supported early gingivitis detection
with p = 0.000. Feasibility test 2 also obtained p = 0.000, meaning SIGI is feasible to be implemented independently by
pregnant women. The web-based SIGI (Dental Health Information System) is proven to be effective, efficient, and feasible
in improving toothbrushing skills and early gingivitis detection among pregnant women.
Keywords :
SIGI; Anterior Gingivitis; Toothbrushing Skills; Pregnant Women.
References :
- World Health Organization. Oral health [Internet]. Geneva: World Health Organization; 2024. Available from: https://www.who.int/health-topics/oral-health
- American College of Obstetricians and Gynecologists (ACOG). Oral health care during pregnancy and through the lifespan. Obstet Gynecol [Internet]. 2013 Nov 2;122(2 Pt 1):417–22. Available from: https://www.acog.org/clinical/clinicalguidance/committee opinion/articles/2013/08/oral-health-care-during-pregnancy-and-through-the-lifespa
- Satrio R, Mulyawati E. Penatalaksanaan gingivitis gravidarum pada ibu hamil di RSGM Universitas Jenderal Soedirman. STOMA (Jurnal Kedokt Gigi) [Internet]. 2022 Nov 2;19(1):45–8. Available from: https://doi.org/10.19184/stoma.v19i1.30701
- Kementerian Kesehatan RI. Potret Sehat Indonesia: Riskesdas 2018 [Internet]. Jakarta: Kementerian Kesehatan Republik Indonesia; 2018. Available from: https://kemkes.go.id/id/potret-sehat-indonesia-riskesdas-2018
- Wahyulisty WI, Maulida A. Pemeliharaan kesehatan gigi dan mulut ibu hamil melalui posyandu. J Gizi Mandiri [Internet]. 2023 Nov 2;2(2). Available from: https://doi.org/10.29238/ohc.v11i2.1847
- Universitas Gadjah Mada. Only 2.8 per cent of Indonesians brush their teeth correctly [Internet]. Yogyakarta: Universitas Gadjah Mada; 2023 Nov. Available from: https://ugm.ac.id/en/news/only-2-8-percent-of-indonesians-brush-their-teeth-correctly/
- World Health Organization. Global strategy on digital health 2020–2025 [Internet]. Geneva: World Health Organization; 2020 Nov. Available from: https://www.who.int/docs/default-source/documents/gs4dhdaa2a9f352b0445bafbc79ca799dce4d.pdf
- Özvarış SS, Çoğulu D. Effects of a mobile application to improve oral hygiene in children. J Pediatr Res [Internet]. 2024 Nov 2;11(1):11–6. Available from: https://jpr.galenos.com/articles/effects-of-a-mobile-application-to-improve-oral-hygiene-in children/jpr.galenos.2024.82956
- Sukini S, Nugraheni H, Sadimin S. Determinan perilaku pencegahan karies gigi siswa Sekolah Dasar di Kota Semarang. J Kesehat Gigi [Internet]. 2019 Nov 2;6(1):26–34. Available from: https://garuda.kemdikbud.go.id/documents/detail/1874363
- Supriyana S. Peran pola perilaku keluarga terhadap kejadian karies pada anak sekolah dasar di Kota Semarang: case control study [Internet]. Proposal Riset Hibah Bersaing. [Semarang]: Poltekkes Kemenkes Semarang; 2017. Available from: https://repository.poltekkes-smg.ac.id/id/eprint/23794.
Gingivitis is one of the most common gingival health problems among pregnant women, influenced by hormonal
changes, lack of knowledge, and improper toothbrushing technique. Early detection of gingival conditions and proper
toothbrushing skills are important factors in preventing periodontal disease. However, gingival examination is still mostly
performed manually and has not yet been integrated into an easily accessible digital system for independent use. An
innovation that may enhance early detection and monitoring of gingival health is the web-based SIGI (Dental Health
Information System) equipped with SIGI-Scan and SIGI-Brush features, expected to improve tooth brushing skills and
independent gingivitis detection. To develop an innovative web-based SIGI (Dental Health Information System) model
that is effective, efficient, and feasible to implement in improving toothbrushing skills and early detection of gingivitis
among pregnant women. This study employed a Research and Development (R&D) method with quantitative and
qualitative approaches. The research stages included needs identification, system design and development, expert
validation, feasibility test 1, and feasibility test 2. The study design used a pre-experimental one group pre-posttest design.
Data collection techniques included interviews, observations, and questionnaires. Data were analyzed using a nonparametric test. The research sample consisted of 30 pregnant women at Puskesmas Citeras who were given SIGI
application intervention for 14 days. Expert validation showed p = 0.000, indicating that SIGI is feasible to use.
Effectiveness testing showed that SIGI significantly improved toothbrushing skills and supported early gingivitis detection
with p = 0.000. Feasibility test 2 also obtained p = 0.000, meaning SIGI is feasible to be implemented independently by
pregnant women. The web-based SIGI (Dental Health Information System) is proven to be effective, efficient, and feasible
in improving toothbrushing skills and early gingivitis detection among pregnant women.
Keywords :
SIGI; Anterior Gingivitis; Toothbrushing Skills; Pregnant Women.