* Corresponding Author
Hide
Show all
Penerapan Algoritma Feature Selection Chi-Square (X2) Dalam Sistem Monitoring Tumbuh Kembang Balita
https://doi.org/10.22146/ijeis.59569 Khozainuz Zuhri(1*), Fatimah Fahurian(2), Yodhi Yuniarthe(3)
(1) Program Studi Informatika, Fakultas Komputer, Universitas Mitra Indonesia
(2) Program Studi S-1 Sistem Informasi, Fakultas Komputer, Universitas Mitra Indonesia
(3) Program Studi S-1 Sistem Informasi, Fakultas Komputer, Universitas Mitra Indonesia
(*) Corresponding Author
Abstract
The healthy family program is a priority program of the ministry of health which in principle refers to the 5th nawacita program. In line with this program, the Lampung provincial government has launched development in the health sector in all cities or districts by allocating 11.52% of the special budget for the health sector. This is inseparable from the condition of health development, especially the city of Bandar Lampung, where the infant mortality rate, under-five mortality rate and maternal mortality rate are decreasing. One of the conditions of health development is the health service posts. Health service posts have limited medical personnel and health post data searches still use conventional models so that the results obtained are not optimal. Based on these descriptions, the authors propose to design a software engineering system in the field of medical health in the form of a toddler growth monitoring system with the concept of the Chi-Square or X2 feature selection algorithm. The results of this study are able to provide a web-based monitoring system model that can be accessed anywhere and anytime, able to provide a system model that can directly monitor the condition of toddler health growth and is able to provide a system model that can be used by health workers, both medical and midwives to monitor village health post points.
Keywords
Full Text:
PDFReferences
[1] Kementerian Kesehatan Republik Indonesia, 2016, Pedoman umum program Indonesia sehat dengan pendekatan keluarga, [pdf], (http://www. depkes.go.id/resources/download/ lain/Buku%20Program%20Indonesia%20Sehat%20dengan%20Pendekatan%20Keluarga.pdf, diakses tanggal 10 Agustus 2018)
[2] Pemerintah Provinsi Lampung, 2017, Pemprov Lampung Alokasikan Anggaran Bidang Kesehatan Di Atas Rata-Rata Nasional, [online], (http://lampungprov.go.id/berita/ pemprov-lampung-alokasikan-anggara-bidang-kesehatan-di-atas-rata-rata-nasional.html, diakses tanggal 13 Agustus 2018)
[3] Dinas Kesehatan Provinsi Lampung, 2016, Rencana Strategis Dinas Kesehatan Provinsi Lampung Tahun 2015 – 2019, [pdf], (https://dinkes.lampungprov. go.id/wp-content/ uploads/2016/07/1.renstra-dinas-kesehatan-provinsi-lampung-2015-2016.pdf, diakses tanggal 15 Agustus 2018)
[4] Dinas Kesehatan Kota Bandar Lampung, 2014, Profil Kesehatan Kota Bandar Lampung Tahun 2014, [pdf], (http://www.depkes.go.id/resources/ download/profil/profil_ kab_kota_ 2014/1871_Lampung_Kota_Bandar_Lampung_2014.pdf, diakses tanggal 15 Agustus 2018)
[5] Dennis, A. , Wixom, b. H. , & Roth, R. M. (2012). System Analysis And Design. New Jersey: John Wiley & Sons, Inc.
[6] Daniel Piter Kristian dan Nina Setiyawati. (2017). Perancangan Sistem Informasi Posyandu Berbasis Web menggunakan Framework CodeIgniter Studi Kasus: Posyandu “Kasih Ibu” Margosari). Universitas Kristen Satya Wacana Salatiga.
[7] Hilary Takudzwa Mushonga , Faustin Banda & Augustine Mulolwa. (2017). Development of a web based GIS for health facilities mapping, monitoring and reporting: A case study of the Zambian Ministry of health, South African Journal of Geomatics, Vol. 6. No. 3, University of Zambia.
[8] Erin Song & Puja Maheshwari. (2016). Using the Mobile Application ClickHealth to Provide Accessible Healthcare to the Homeless. Santa Clara, California.
[9] Nadia Savitri&Heru Nurwasito. (2018). Pengembangan Aplikasi Mobile untuk Pelayanan Administrasi Posyandu dengan menggunakan Google Maps Api Geolocation Tagging. Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol. 2, No. 1.
[10] I. Listiowarni and E. Rahayu Setyaningsih, “Analisis Kinerja Smoothing pada Naive Bayes untuk Pengkategorian Soal Ujian,” J. Teknol. dan Manaj. Inform., vol. 4, no. 2, pp. 1–6, 2018.
[11] M. Alazab, “Automated malware detection in mobile app stores based on robust feature generation,” Electron., vol. 9, no. 3, 2020.
[12] A. H. Mohammad, “Applytwo Feature Selections ( Chi-Square and Symmetric Uncertainty ) Using C4 . 5 Classification Algorithm Based on Arabic Data Set,” vol. 2, no. September, pp. 5–8, 2018.
[13] L. Ma et al., “Evaluation of feature selection methods for object-based land cover mapping of unmanned aerial vehicle imagery using random forest and support vector machine classifiers,” ISPRS Int. J. Geo-Information, vol. 6, no. 2, 2017.
[14] M. Masih and A. Grant, “Chi square feature extraction based SVMS arabic language text categorization system,” Talent Dev. Excell., vol. 9, no. 2, pp. 18–26, 2017.
[15] H. Zhang et al., “Informative gene selection and direct classification of tumor based on chi-square test of pairwise gene interactions,” Biomed Res. Int., vol. 2014, no. ii, 2014.
[16] V. Barot, S. Singh Chauhan, and B. Patel, “Feature Selection for Modeling Intrusion Detection,” Int. J. Comput. Netw. Inf. Secur., vol. 6, no. 7, pp. 56–62, 2014.
[17] Dharmendra Kumar singh, Pragya Patel, Anjali Karsh, Dr.A.S.Zadgaonkar, Analysis of Generated Harmonics Due To CFL Load On Power System Using Artificial Neural Network, International Journal of Electrical Engineering and Technology (IJEET) Volume 5, Issue 3, pp. 56-68, 2014
[18] O. S. Bachri, Kusnadi, M. Hatta, and O. D. Nurhayati, “Feature selection based on CHI square in artificial neural network to predict the accuracy of student study period,” Int. J. Civ. Eng. Technol., vol. 8, no. 8, pp. 731–739, 2017.
DOI: https://doi.org/10.22146/ijeis.59569
Article Metrics
Abstract views : 2744
| 
views : 2801
Refbacks
- There are currently no refbacks.
Copyright (c) 2020 IJEIS (Indonesian Journal of Electronics and Instrumentation Systems)
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
View My Stats1