Email this article 
(Universitas Bina Insani, Indonesia)(2) Pelsri Ramadar Noor Saputra
(STIKOM PGRI Banyuwangi, Indonesia)(3) Efendi Zaenudin
(Department of Bioinformatics
and Medical Engineering, Asia University, Taichung, Taiwan, Province of China)*corresponding author
AbstractIn Indonesia, public health services at the city or district level are carried out by regional public hospitals or “puskesmas†(health care centers), especially in Banyuwangi regency, East Java, Indonesia that has 45 health care centers spread throughout the villages. This research focused on the deaths of babies caused by diarrhea diseases, which are the second leading cause of death among children younger than 5 years globally. All of the health care centers need to be divided into 3 groups to find out which health care centers have the least, most moderate, and many diarrhea sufferers. Fuzzy C-Means algorithm is used to overcome this problem. The result from this research shown that 2 health care centers have the smallest member of diarrhea sufferers, 14 health care centers have a medium member of diarrhea sufferers, and the rest have a large number of diarrhea sufferers. From the result of this study, it can be a reference for the health department center in dealing with diarrheal diseases, accordingly, the infant mortality rate due to diarrheal diseases can be lowered to health care centers that have high diarrhea sufferers.
KeywordsClustering Algorithm; Diarrhea Disease; Fuzzy C-Means; Health Care Center
|
DOIhttps://doi.org/10.29099/ijair.v5i1.191 |
Article metrics10.29099/ijair.v5i1.191 Abstract views : 1269 | PDF views : 242 |
Cite |
Full Text Download
|
References
A. B. Tambe, L. D. Nzefa, and N. A. Nicoline, “Childhood Diarrhea Determinants in Sub-Saharan Africa: A Cross Sectional Study of Tiko-Cameroonâ€, Challenges, 2015, Vol. 6(2), pp: 229-243.
B.Simhachalam, G.Ganesan, “Possibilistic Fuzzy C-Means Clustering On Medical Diagnostic Systemsâ€, International Conference on Contemporary Computing and Informatics (IC3I), 2014, pp: 1125 – 1129.
Chusyairi A., Saputra P.R.N., “Grouping Heatlh Care Center in Archieving Immunization at Banyuwangi Regency Using K-Means Clustering Methodâ€, Telematika, 2019, Vol. 12(2), pp:139-148 (Chusyairi A., Saputra P.R.N., “Pengelompokan Data Puskesmas Banyuwangi Dalam Pemberian Imunisasi Menggunakan Metode K-Means Clusteringâ€, Telematika, 2019, Vol. 12(2), pp:139-148).
Imianvan A. A., Anosike U.F, Obi J. C., “An Expert System for the Intelligent Diagnosis of HIV Using Fuzzy Cluster Means Algorithmâ€, Global Journal of Computer Science and Technology, 2011, Volume XI (XII).
J. Sangeetha, V. S. J. Prakash, “An Efficient Inclusive Similarity Based Clustering (ISC) Algorithm for Big Dataâ€, World Congress on Computing and Communication Technologies (WCCCT), 2017.
J. Tetteh, W. K. Takramah, M. A. Ayanore, A. A. Ayanore, E. Bisung, and J. Alamu, â€Trends for Diarrhea Morbidity in the Jasikan District of Ghana: Estimates from District Level Diarrhea Surveillance Data, 2012–2016â€, Hindawi Journal of Tropical Medicine, 2018.
L. Carvajal-Vélez, A. Amouzou, J. Perin, A. Maïga, H. Tarekegn, A. Akinyemi, S. Shiferaw, M. Young, J. Bryce and H. Newby, “Diarrhea management in children under five in sub-Saharan Africa: does the source of care matter? A Countdown analysisâ€, BMC Public Health, 2016.
Ministry of Health Republic of Indonesia, “Indonesian Health Profile and Information 2018â€, unpublished. (Kementrian Kesehatan Republik Indonesia, “Data Dan Informasi Profil Kesehatan Indonesia 2018â€).
M. Derakhshan, Z. Bateni, “Optimization of Tasks in Cloud Computing Based on MAX-MIN, MIN-MIN and Priorityâ€, 4th International Conference on Web Research (ICWR), 2018.
N. Chetty, K. S. Vaisla, N. Patil, “An Improved Method for Disease Prediction using Fuzzy Approachâ€, Second International Conference on Advances in Computing and Communication Engineering, 2015.
Public Health Office, “Health Profile 2017â€, Banyuwangi Regency Government, 2017 (Dinas Kesehatan, “Profil kesehatan 2017â€, Pemerintah Kabupaten banyuwangi, 2017).
Shabari S. B., S. Shetty, M Siddappa, “Implementation and Comparison of K-Means and Fuzzy C-Means Algorithms for Agricultural Dataâ€, International Conference on Inventive Communication and Computational Technologies (ICICCT), 2017.
Syifa'ul L., D. Prayoga, S. Haksama, A. M. Mandagi, “Analysis of SIMPUS (Si Jempol Sehat Si Jempol Wangi) Development in Banyuwangi Regencyâ€, IKESMA Vol. 12 No. 1, 2016, pp: 8–17 (Syifa'ul L., D. Prayoga, S. Haksama, A. M. Mandagi, “Analisis Pengembangan SIMPUS (Si Jempol Sehat Si Jempol Wangi) Di Kabupaten Banyuwangiâ€, IKESMA Vol. 12 No. 1, 2016, pp: 8–17).
S. Misbah and K. Rasheed, “Maternal Knowledge and Management Skills about Diarrhea among Children under 5 years of ageâ€, 13th International Bhurban Conference on Applied Sciences and Technology (IBCAST), 2016, pp: 92–95.
S. Patro, K. K. Sahu, “Normalization: A Preprocessing Stageâ€, Computer Science, 2015.
T. B. Ramya, “Disease Prediction System Using Fuzzy C-Means Algorithmâ€, International Journal of Engineering Research & Technology (IJERT), 2018, Volume 6 (3), pp: 1–4.
Y. Tao, D. Bhattacharjya, A. R. Heching, A. Vempaty, M. Singh, F. Lam, J. Houdek, M. Abubakar, A. Abdulwahab, T. Braimoh, N. Ihebuzor, A. Mojsilović, and K. R. Varshney, “Effectiveness of peer detailing in a diarrhea program in Nigeriaâ€, IBM Journal of Research and Development, vol. 61, Issue: 6, 2017, pp: 1:1-1:12.
Zuriani M., Yuhanis Y., “A Comparison of Normalization Techniques in Predicting Dengue Outbreakâ€, International Conference on Business and Economics Research (IACSIT), 2011, Volume 01, pp: 345–349.
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
________________________________________________________
The International Journal of Artificial Intelligence Research
Organized by: Departemen Teknik Informatika
Published by: STMIK Dharma Wacana
Jl. Kenanga No.03 Mulyojati 16C Metro Barat Kota Metro Lampung
Email: jurnal.ijair@gmail.com
This work is licensed under Creative Commons Attribution-ShareAlike 4.0 International License.