Repository Universitas Pakuan

Detail Karya Ilmiah Dosen

Fredi Andria, Eneng Tita Tosida, Nandang Kusnadi, Siska Andriani

Judul : Prediction Model of Health Insurance Membership for Informal Workers

Abstrak :
Background: Health insurance for informal workers is very important to be managed properly by Indonesian government, especially by Health BPJS. Whereas informal workers mostly belong to the category of near-poor people. The current health insurance scheme will depend on personal insurance or assistance from families and surrounding communities. The ability of informal workers is still in dire need of health insurance assistance. This model of assistance can be formulated through certain schemes based on each group's ability limitations. The purpose of this study is to model predictions of the ability to provide safekeeping funds for health insurance, especially for informal workers in Bogor, through a Data Mining approach. The data used are primary data from a survey of 100 respondents of informal workers in Bogor. The algorithm used to this prediction model is the J48 algorithm. Conclussion:The accuracy of the prediction model for the provision of safekeeping funds is 100% with RMSE values 0.2493 and MEA 0.1243. The accuracy of the prediction model for health facilities selection shows a value of 87%.

Tahun : 2019 Media Publikasi : Jurnal Internasional

Kategori : Jurnal No/Vol/Tahun : pp-236-246 / 3 / 2019

ISSN/ISBN : 2378-703X

PTN/S : Universitas Pakuan Program Studi : ILMU KOMPUTER

Bibliography :
[1]. A. F, T. H and T. ET, "Pemetaan pemda dalam mendukung persiapan menuju Universal Health Coverage (UHC)," DJSN, Jakarta, 2013.

[2]. F. Andria and N. Kusnadi, "Dampak kepesertaan BPJS bagi pekerja informal di Bogor," Jurnal Ilmiah Manajemen Fakultas Ekonomi, vol. 3, no. 1, pp. 1-15, 2017.

[3]. A. PL, A. S, R. CE and I. P, "Strengthening institutional and organizing capacity for social health protection of the informal sector in lesser-developed countries : A study of policy barriers and opportunities in cambodia," Social Science & Medicine, vol. 96, pp. 223-231, 2013.

[4]. H. JM, "On becoming healthier communities : Poverty, territorial development and planning," Rev Port Sauude Publica, vol. 31, no. 1, pp. 58-73, 2013.

[5]. H. M. A. A Akmal Shafie, "Willingness to pay for voluntary community-based health insurance : Findings from an exploratory study in the state of Penang, Malaysia," Social Science & Medicine, vol. 96, pp. 272-276, 2013.

[6]. N. D. G. F. A. Jong Chul Rhee, "Considering long-term care insurance for middle-income countries : comparing South Korea with Japan and Germany," Journal of Health Policy, vol. 119, p. 1319–1329, 2015.

[7]. A. D. Rothenberg, A. Gaduh, N. Burger, C. Chazali, I. Tjandraningsih, R. Radikun, C. Sutera and S. Weilant, "Rethinking Indonesia’s informal sector," World Development, vol. 80, pp. 96-113, 2016.

[8]. F. Andria, H. Thaheer, E. T. Tosida, S. Setyaningsih and P. Harsani, "Kebijakan format Badan Penyelenggara Jaminan Sosial (BPJS) dalam Undang-undang (UU) BPJS," Kemenkokesra RI, Jakarta, 2014.

[9]. J. M. B, "Resource allocation strategies in Southeastern European health policy," Eur J Health Econ , vol. 14, pp. 153-159, 2013.

[10]. A. Nastiti, I. Prabaharyaka, D. Roosmini and T. D. Kunaefi, "Health-associated cost of urban informal industrial sector : an assessment tool," Procedia-Social & Behavioral Sciences, vol. 36, pp. 112-122, 2012.

[11]. J. Han, M. Kamber and J. Pei, Data mining : Concepts and techniques, Third Edition ed., 225Wyman Street, Waltham, MA 02451: Morgan Kaufmann is an imprint of Elsevier, 2012.

[12]. S. Natek and M. Zwilling, "Student data mining solution-knowledge management system related to higher education institutions," Expert Systems with Applications, vol. 41, pp. 6400-6407, 2014.

[13]. P. W. Handayani, I. R. Saladdin, A. A. Pinem, F. Azzahro, A. N. Hidayanto and D. Ayuningtyas, "Health referral system user acceptance model in Indonesia. Heliyon 4 (2018) : 1-33.," Heliyon, vol. 4, pp. 1-33, 2018.

[14]. D. Ichikawa, T. Saito and H. Oyama, "Impact of predicting health-guidance candidates using massive health check-up data: A data-driven analysis," International Journal of Medical Informatics, vol. 106, pp. 32-36, 2017.

[15]. Y. Wang, L. Kung and T. A. Byrd, "Big data analytics: Understanding its capabilities and potential benefits for healthcare organizations," Technological Forecasting & Social Change, vol. 126, p. 3–13, 2018.

[16]. Patil and Sherekar, "Performance analysis of naive bayes and J48 classification algorithm for data classification," International Journal of Computer Science and Applications, vol. 6, no. 2, 2013.

[17]. Y. Kumar and G. Sahoo, "Analysis of bayes, neural network and tree classifier of classification technique in data mining using WEKA," pp. 359-369, 2012.

[18]. S. Singh and K. V, "Performance analysis of tree classifiers using on engineering students recruitment datasets," Interntional Journal of Computin and Technology, vol. 1, no. 2, March 2014.

[19]. P. M and S. VK, "A decision tree algorithm pertaining to the student performance analysis and prediction," International Journal of Computer Applications , vol. 61, no. 13, 2013.

[20]. G.-2. 1.-1. S. Rolindrawan Djoni 2nd Global Conference on Business and Social Science-2015, "The impact of BPJS health implementation for poor on the use of health facility," 2015.

[21]. F. R, R. KP and S. RV, "Critical review of triple helix to quanto-tuple helix: lesson learned from social security system act implementation," Procedia - Social and Behavioral Sciences, vol. 52, p. 217–225, 2012.

[22]. T. Stepurko, M. Pavlova, I. Gryga, L. Murauskiene and W. Groot, "Informal payment for health care service : The case of Lithuania, Poland and Ukraine," J. Eurasian Studies, vol. 6, pp. 46-58, 2015.

[23]. T. Triyono and S. Soewartoyo, "Kendala kepesertaan program jaminan sosial terhadap pekerja di sektor informal : Studi Kasus di Kota Surabaya," Jurnal Hukum PRIORIS, vol. 3, no. 3, pp. 28-41, 2013.

[24]. ILO, "Decent work and the informal economy : Sixth item on the agenda," ILO, 2002.

[25]. B. KF, "The informal economy : Fact finding study," SIDA, 2004.

[26]. C. S and S. SV, "Social protection and the informal sector in developing countries challenges and opportunities," Social protection discussion paper series, 2001.

[27]. H. R, "Statistical definition of informal employment : Guidelines endorsed by the Seventheenth International Conference of Labor Statisticians (2003). 7th Meeting of the Expert Group on Informal Sector Statistics (Delhi Group), New Delhi, 2-4," 2004.

[28]. Nick Hajli, M. S and Featherman, "The impact of new ICT technologies and its applications on health service development and management," Technological Forecasting & Social Change, vol. 126, pp. 1-2, 2018.

[29]. O. I. OA, "Community-based health insurance programmes and the national health insurance scheme of Nigeria: challenges to uptake and integration," International Journal of Equility in Health, vol. 13, no. 20, 2014.

[30]. K. Osei-Frimpong, A. Wilson and F. Lemke, "Patient co-creation activities in healthcare service delivery at the micro leve l: The influence of online access to healthcare information," Technological Forecasting & Social Change, vol. 126, p. 14–27, 2018.

[31]. Y. Li, X. Wang, X. Lin and M. Hajli, "Seeking and sharing health information on social media: A net valence model and cross-cultural comparison.," Technological Forecasting & Social Change, vol. 126, p. 28–40, 2018.

[32]. J. M. Sims, "Communities of practice: Telemedicine and online medical communities," Technological Forecasting & Social Change, vol. 126, p. 53–63, 2018.

[33]. Y. Hou, P. Gao and B. Nicholson, "Understanding organisational responses to regulative pressures in information security management: The case of a Chinese hospital," Technological Forecasting & Social Change, vol. 126, pp. 64-75, 2018.

[34]. Z. MJ and M. J. W, Data mining and analysis: Fundamental concepts and algorithms., 2013.

[35]. R. Andonie, "Extreme data mining : Inference from small datasets," International Journal of Computers Communications & Control, vol. 3, no. 5, pp. 280-291, 2010.

[36]. F. Andria and N. Kusnadi, "MODEL ALTERNATIF PEMBIAYAAN JAMINAN KESEHATAN BAGI PEKERJA INFORMAL DI BOGOR," Pakuan Law Review, vol. 4, no. 2, 2018.

[37]. S. I. Purwandari and C. Maharani, "Analisis sikap pekerja informal Non PBI yang belum terdaftar program jaminan kesehatan nasional di Kabupaten Brebes," Unnes Journal of Public Health, vol. 4, no. 2, pp. 84-91, 2015.

[38]. H. Thaheer and F. Andria, "Kesiapan pemda menuju kepesertaan menyeluruh jaminan kesehatan," DJSN, Jakarta, 2012.

URL : https://www.ajhssr.com/prediction-model-of-health-insurance-membership-for-informal-workers/

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Detail Karya Ilmiah Dosen

Fredi Andria, Eneng Tita Tosida, Nandang Kusnadi, Siska Andriani

Judul	:	Prediction Model of Health Insurance Membership for Informal Workers
Abstrak	:	Background: Health insurance for informal workers is very important to be managed properly by Indonesian government, especially by Health BPJS. Whereas informal workers mostly belong to the category of near-poor people. The current health insurance scheme will depend on personal insurance or assistance from families and surrounding communities. The ability of informal workers is still in dire need of health insurance assistance. This model of assistance can be formulated through certain schemes based on each group's ability limitations. The purpose of this study is to model predictions of the ability to provide safekeeping funds for health insurance, especially for informal workers in Bogor, through a Data Mining approach. The data used are primary data from a survey of 100 respondents of informal workers in Bogor. The algorithm used to this prediction model is the J48 algorithm. Conclussion:The accuracy of the prediction model for the provision of safekeeping funds is 100% with RMSE values 0.2493 and MEA 0.1243. The accuracy of the prediction model for health facilities selection shows a value of 87%.
Tahun	:	2019	Media Publikasi	:	Jurnal Internasional
Kategori	:	Jurnal	No/Vol/Tahun	:	pp-236-246 / 3 / 2019
ISSN/ISBN	:	2378-703X
PTN/S	:	Universitas Pakuan	Program Studi	:	ILMU KOMPUTER
Bibliography	:	[1]. A. F, T. H and T. ET, "Pemetaan pemda dalam mendukung persiapan menuju Universal Health Coverage (UHC)," DJSN, Jakarta, 2013. [2]. F. Andria and N. Kusnadi, "Dampak kepesertaan BPJS bagi pekerja informal di Bogor," Jurnal Ilmiah Manajemen Fakultas Ekonomi, vol. 3, no. 1, pp. 1-15, 2017. [3]. A. PL, A. S, R. CE and I. P, "Strengthening institutional and organizing capacity for social health protection of the informal sector in lesser-developed countries : A study of policy barriers and opportunities in cambodia," Social Science & Medicine, vol. 96, pp. 223-231, 2013. [4]. H. JM, "On becoming healthier communities : Poverty, territorial development and planning," Rev Port Sauude Publica, vol. 31, no. 1, pp. 58-73, 2013. [5]. H. M. A. A Akmal Shafie, "Willingness to pay for voluntary community-based health insurance : Findings from an exploratory study in the state of Penang, Malaysia," Social Science & Medicine, vol. 96, pp. 272-276, 2013. [6]. N. D. G. F. A. Jong Chul Rhee, "Considering long-term care insurance for middle-income countries : comparing South Korea with Japan and Germany," Journal of Health Policy, vol. 119, p. 1319–1329, 2015. [7]. A. D. Rothenberg, A. Gaduh, N. Burger, C. Chazali, I. Tjandraningsih, R. Radikun, C. Sutera and S. Weilant, "Rethinking Indonesia’s informal sector," World Development, vol. 80, pp. 96-113, 2016. [8]. F. Andria, H. Thaheer, E. T. Tosida, S. Setyaningsih and P. Harsani, "Kebijakan format Badan Penyelenggara Jaminan Sosial (BPJS) dalam Undang-undang (UU) BPJS," Kemenkokesra RI, Jakarta, 2014. [9]. J. M. B, "Resource allocation strategies in Southeastern European health policy," Eur J Health Econ , vol. 14, pp. 153-159, 2013. [10]. A. Nastiti, I. Prabaharyaka, D. Roosmini and T. D. Kunaefi, "Health-associated cost of urban informal industrial sector : an assessment tool," Procedia-Social & Behavioral Sciences, vol. 36, pp. 112-122, 2012. [11]. J. Han, M. Kamber and J. Pei, Data mining : Concepts and techniques, Third Edition ed., 225Wyman Street, Waltham, MA 02451: Morgan Kaufmann is an imprint of Elsevier, 2012. [12]. S. Natek and M. Zwilling, "Student data mining solution-knowledge management system related to higher education institutions," Expert Systems with Applications, vol. 41, pp. 6400-6407, 2014. [13]. P. W. Handayani, I. R. Saladdin, A. A. Pinem, F. Azzahro, A. N. Hidayanto and D. Ayuningtyas, "Health referral system user acceptance model in Indonesia. Heliyon 4 (2018) : 1-33.," Heliyon, vol. 4, pp. 1-33, 2018. [14]. D. Ichikawa, T. Saito and H. Oyama, "Impact of predicting health-guidance candidates using massive health check-up data: A data-driven analysis," International Journal of Medical Informatics, vol. 106, pp. 32-36, 2017. [15]. Y. Wang, L. Kung and T. A. Byrd, "Big data analytics: Understanding its capabilities and potential benefits for healthcare organizations," Technological Forecasting & Social Change, vol. 126, p. 3–13, 2018. [16]. Patil and Sherekar, "Performance analysis of naive bayes and J48 classification algorithm for data classification," International Journal of Computer Science and Applications, vol. 6, no. 2, 2013. [17]. Y. Kumar and G. Sahoo, "Analysis of bayes, neural network and tree classifier of classification technique in data mining using WEKA," pp. 359-369, 2012. [18]. S. Singh and K. V, "Performance analysis of tree classifiers using on engineering students recruitment datasets," Interntional Journal of Computin and Technology, vol. 1, no. 2, March 2014. [19]. P. M and S. VK, "A decision tree algorithm pertaining to the student performance analysis and prediction," International Journal of Computer Applications , vol. 61, no. 13, 2013. [20]. G.-2. 1.-1. S. Rolindrawan Djoni 2nd Global Conference on Business and Social Science-2015, "The impact of BPJS health implementation for poor on the use of health facility," 2015. [21]. F. R, R. KP and S. RV, "Critical review of triple helix to quanto-tuple helix: lesson learned from social security system act implementation," Procedia - Social and Behavioral Sciences, vol. 52, p. 217–225, 2012. [22]. T. Stepurko, M. Pavlova, I. Gryga, L. Murauskiene and W. Groot, "Informal payment for health care service : The case of Lithuania, Poland and Ukraine," J. Eurasian Studies, vol. 6, pp. 46-58, 2015. [23]. T. Triyono and S. Soewartoyo, "Kendala kepesertaan program jaminan sosial terhadap pekerja di sektor informal : Studi Kasus di Kota Surabaya," Jurnal Hukum PRIORIS, vol. 3, no. 3, pp. 28-41, 2013. [24]. ILO, "Decent work and the informal economy : Sixth item on the agenda," ILO, 2002. [25]. B. KF, "The informal economy : Fact finding study," SIDA, 2004. [26]. C. S and S. SV, "Social protection and the informal sector in developing countries challenges and opportunities," Social protection discussion paper series, 2001. [27]. H. R, "Statistical definition of informal employment : Guidelines endorsed by the Seventheenth International Conference of Labor Statisticians (2003). 7th Meeting of the Expert Group on Informal Sector Statistics (Delhi Group), New Delhi, 2-4," 2004. [28]. Nick Hajli, M. S and Featherman, "The impact of new ICT technologies and its applications on health service development and management," Technological Forecasting & Social Change, vol. 126, pp. 1-2, 2018. [29]. O. I. OA, "Community-based health insurance programmes and the national health insurance scheme of Nigeria: challenges to uptake and integration," International Journal of Equility in Health, vol. 13, no. 20, 2014. [30]. K. Osei-Frimpong, A. Wilson and F. Lemke, "Patient co-creation activities in healthcare service delivery at the micro leve l: The influence of online access to healthcare information," Technological Forecasting & Social Change, vol. 126, p. 14–27, 2018. [31]. Y. Li, X. Wang, X. Lin and M. Hajli, "Seeking and sharing health information on social media: A net valence model and cross-cultural comparison.," Technological Forecasting & Social Change, vol. 126, p. 28–40, 2018. [32]. J. M. Sims, "Communities of practice: Telemedicine and online medical communities," Technological Forecasting & Social Change, vol. 126, p. 53–63, 2018. [33]. Y. Hou, P. Gao and B. Nicholson, "Understanding organisational responses to regulative pressures in information security management: The case of a Chinese hospital," Technological Forecasting & Social Change, vol. 126, pp. 64-75, 2018. [34]. Z. MJ and M. J. W, Data mining and analysis: Fundamental concepts and algorithms., 2013. [35]. R. Andonie, "Extreme data mining : Inference from small datasets," International Journal of Computers Communications & Control, vol. 3, no. 5, pp. 280-291, 2010. [36]. F. Andria and N. Kusnadi, "MODEL ALTERNATIF PEMBIAYAAN JAMINAN KESEHATAN BAGI PEKERJA INFORMAL DI BOGOR," Pakuan Law Review, vol. 4, no. 2, 2018. [37]. S. I. Purwandari and C. Maharani, "Analisis sikap pekerja informal Non PBI yang belum terdaftar program jaminan kesehatan nasional di Kabupaten Brebes," Unnes Journal of Public Health, vol. 4, no. 2, pp. 84-91, 2015. [38]. H. Thaheer and F. Andria, "Kesiapan pemda menuju kepesertaan menyeluruh jaminan kesehatan," DJSN, Jakarta, 2012.
URL	:	https://www.ajhssr.com/prediction-model-of-health-insurance-membership-for-informal-workers/