The Impact of Exposure to Information Technology in Determining Women


  • Erna Nurmawati Polytechnic of Statistics, STIS, Yogyakarta, Indonesia
  • Joseph Gabriel Napitupulu Central Bureau of Statistics, Jakarta, Indonesia
  • Teguh Sugiyarto Polytechnic of Statistics, STIS, Yogyakarta, Indonesia


Background: Indonesian Demographic Health Survey (IDHS) 2012 reveals that Maternal Mortality Ratio (MMR) in Indonesia is 359 per 100,000 live births or increase from 228 per 100.000 live births in 2007. Compared to the other ASEAN countries, the risk of maternal death in Indonesia is also relatively high, 1 in 65 mothers. Some researches depict that maternal death is caused by inadequate care during pregnancy and delivery (labor). This condition is caused by the availability of health facility or improper health seeking behaviors. Considering the crucial role of knowledge to determine people behaviors, this paper is aimed to discuss the impact of information technology to shape people knowledge on maternal health.

Subjects and Method: Some variables in Indonesian Health Demographic Survey 2017, identify the subject


Agresti A (2003). Categorical data analysis, John Wiley & Sons.

Ajzen I (1991). The theory of planned behavior. Organ Behav Hum Decis Process. 50(2): 179-211. DOI: 10.1016/0749- 5978(91)90020-T

APJII (2017). Infografis penetrasi internet dan perilaku pengguna internet Indonesia 2017 (Infographic of internet penetration and behavior of internet users in Indonesia 2017. Indonesia Internet Service Provider Association.

Bonfadelli H (2002). The Internet and knowledge gaps: A theoretical and empirical investigation. Eur J commun. 17(1): 65-84. DOI: 10.1177/02673-2310201700160

Buchner AG, Mulvenna M, Anand SS Hughes J (1999). An internet-enabled knowledge discovery process. 9th International Database Conference on Heterogeneous and Internet Databases. IDC.

Dutta MJ (2007). Health information processing from television: the role of health orientation. Health Commun. 16(3): 273-288. DOI: 10.1207/S15327027HC1603_1

Fatema K, Lariscy JT (2020). Mass media exposure and maternal healthcare utilization in South Asia. SSM-Population Health. 11: 100614. DOI: 10.1016/j.ssmph.2020.100614

Gavgani VZ, Qeisari E, Jafarabadi MA (2013). Health information seeking behavior (HISB): a study of a develo-ping country. Libr Philos Pract. 2:1-2013. Retrieved from:

Grimes HA, Forster DA, Newton MS (2014). Sources of information used by women during pregnancy to meet their information needs. Midwifery. 30(1): e26-e33. DOI: 10.1016/j.midw.2013.10.007

Hosmer DW, Lemeshow S, Sturdivant RX (2013). Applied logistic regression, John Wiley & Sons.

Mikrajab MA, Rahmawati T (2012). Peran kader kesehatan dalam program perencanaan persalinan dan pencegahan komplikasi pada Ibu hamil di Posyandu di kota Mojokerto, Provinsi Jawa Timur (The role of health cadres in delivery planning programs and prevention of complica-tions for pregnant women at the Posyandu in Mojokerto City, East Java Province). Buletin Penelitian Sistem Kesehatan (Health System Research Bulletin).

MOH, UNFPA (2012). Disparity of access and quality, review of maternal mortality in five region in Indonesia Jakarta, Indonesia, Ministry of Health of Indonesia and UNFPA.

Mustafa N (2020). Knowledge Attitude and Practice Regarding Maternal Health Care Services. Health Care Curr Rev. 8:248. DOI: 10.35248/2375-4273.-20.8.248.

National Population and Family Planning Board (BKKBN), Statistics Indonesia (BPS), Ministry of Health (Kementerian Kesehatan), ICF (2018). Indo-nesia Demographic and Health Survey 2017. Jakarta, Indonesia: BKKBN, BPS, Kemenkes, and ICF.

Ngabo F, Nguimfack J, Nwaigwe F, Mugeni, C, Muhoza D, Wilson D, Kalach J, Gakuba R, Karema C, Binagwaho A (2012). Designing and Implementing an Innovative SMS-based alert system (RapidSMS-MCH) to monitor pregnancy and reduce maternal and child deaths in Rwanda. Pan Afr Med J. Conf. Proc. 13: 31: Retrieved from:

Paneru D, Gyawali K, Jnawali B, Jnawali K (2013. Knowledge and practices on maternal health care among mothers: A Cross sectional study from rural reas of mid-western development region Nepal. Journal of the Scientific Society. 40(1): 9. DOI: 10.4103/0974-5009.109682

Sara REKMB (2006). Computers, phones, and the Internet: Domesticating information technology, Oxford University Press.

Setiawan R (2009). Penggunaan internet sebagai teknologi informasi di kalangan mahasiswa ekonomi akuntansi Universitas Muhammadiyah Surakarta (The use of the internet as information technology among accounting economics students at Muhammadiyah University of Surakarta). Universitas Muhammadiyah Surakarta (Muhammadiyah Surakarta university)

Soedarmono Y (2017). The Indonesian app-roach to reduce maternal mortality. ISBT Sci Ser. 12(1): 272-280. DOI: 10.1111/voxs.12317

Titilayo A, Palamuleni ME, Omisakin O (2015). Knowledge of causes of maternal deaths and maternal health seeking behaviour in Nigeria. Afr pop stud. 29(2). DOI: 10.11564/29-2-784

Utami N, Sari RDP, Kurniati I, Graharti R, Prabowo AY (2019). Tingkat pengetahuan ibu hamil mengenai kesehatan ibu dalam masa kehamilan dan nifas di RSUD Dr. H. Abdul Moeloek Bandar Lampung (Knowledge level of pregnant women regarding maternal health during pregnancy and post-partum at RSUD Dr. H. Abdul Moe-loek Bandar Lampung). Jurnal Kedokteran Universitas Lampung (Medical Journal of the University of Lampung. 3(1): 10-15.

World Health Organization (2004). Maternal mortality in 2000: estimates developed by WHO, UNICEF and UNFPA, World Health Organization.

Wulandari RD, Laksono A (2020). Determinants of knowledge of pregnancy danger signs in Indonesia. PLoS ONE, 15.




How to Cite

Nurmawati, E., Napitupulu, J. G., & Sugiyarto, T. (2022). The Impact of Exposure to Information Technology in Determining Women. Journal of Maternal and Child Health, 7(3), 282–293. Retrieved from