Pemanfaatan Skrining dan Penyuluhan Kesehatan untuk Optimalisasi Penanganan Anemia pada Usia Remaja
DOI:
https://doi.org/10.47065/jpm.v5i3.2282Keywords:
Anemia; Education; Hemoglobin; Adolescent Girls; ScreeningAbstract
Anemia is when the body does not have enough healthy red blood cells. This condition occurs due to reduced hemoglobin (an iron-rich protein) which affects the production of red cells. Anemia is a health problem throughout the world and currently, the prevalence of anemia in adolescents is still high. The impact of anemia on teenagers is a decrease in: productivity, fitness, concentration, and decreased immunity as well as disrupting growth. Lack of information delivery, parental, community, and government concern for adolescent health as well as inadequate adolescent health services are also the reasons why this problem cannot be resolved. This community service aims to increase the knowledge of students at SMA Muhammadiyah 1 Purbalingga regarding anemia and to screen for anemia by checking hemoglobin levels for early detection of anemia. The method used is interactive lectures and questions and answers, to check hemoglobin levels using the Point of Care Testing (POCT) method. The results of data analysis showed that there was a significant difference between before and after providing anemia screening education to students at SMA Muhammadiyah 1 Purbalingga (p<0.05) with an average of 45 before the education was provided to 80 after the education. The conclusion is that health education regarding anemia screening has increased the knowledge of young women at SMA Muhammadiyah 1 Purbalingga.Downloads
References
Adiwijaya, A. M. (2017). A comparative study of MFCC-KNN and LPC-KNN for hijaiyyah letters pronounciation classification system. Information and Communication Technology (ICoIC7), (pp. 1-5).
Adriana, I. A. (2007). Penalaran Komputer Berbasis Kasus (Case Based Reasoning). Yogyakarta: Ardana Media.
Al-Kabi, M. N., Kanaan, G., Al-Shalabi, R., Al-Sinjilawi, S., & Al-Mustafa, R. (2005). Al-Hadith Text Classifier. Journal of Applied Sciences 5, 584-587.
all, R. D. (2012). Telinga Hidung Tenggorok Kepala dan Leher edisi ketujuh. Jakarta: FK UI.
Andina Kusumaningrum, Said Al-Faraby, & Adiwijaya. (2017). Klasifikasi Informasi, Anjuran dan Larangan pada Hadits Shahih Bukhari menggunakan Metode Support Vector Machine. e-Proceeding of Engineering, 5014.
Asriyanti Indah Pratiwi, & Adiwijaya. (2018). On the Feature Selection and Classification Based on Information Gain for Document Sentiment Analysis. Applied Computational Intelligence and Soft Computing, 2018, 5. doi:https://doi.org/10.1155/2018/1407817
Desiani, A., & Arhami, M. (2006). Konsep Kecerdasan Buatan (1 ed.). (D. Hardjono, Penyunt.) Yogyakarta, Indonesia: Penerbit ANDI.
Desiani, A., & Arhami, M. (2006). Konsep Kecerdasan Buatan (1 ed.). (D. Hardjono, Penyunt.) Yogyakarta, Indonesia: Penerbit ANDI.
Eliza Riviera Rachmawati Jasin, Said Al-Faraby, & Adiwijaya. (2017). Klasifikasi Anjuran, Larangan dan Informasi pada Hadis Sahih Al-Bukhari. e-Proceeding of Engineering, 4683.
Faza Akmal, S. W. (Februari 2014). SISTEM PPAKAR UNTUK MENDIAGNOSA PENYAKIT LAMBUNG DENGAN IMPLEMENTASI METODE CBR (CASE BASED REASONING) BERBASIS WEB. Jurnal Sarjana Teknik Informatika, 2 (1).
Harrag, F., & El-Qawasmah, E. (2009). Neural Network for Arabic Text Classification. 2009 Second International Conference on the Applications of Digital Information and Web Technologies, 778-783.
Haza Nuzly Abdull Hamed, Siti Mariyam Shamsuddin, & Naomie Salim. (2008). Particle Swarm Optimization For Neural Network Learning Enchancement. Jurnal Teknologi, 13-26.
Kusrini. (2006). Sistem Pakar Teori dan Aplikasi (1 ed.). (f. Suyantoro, Penyunt.) Yogyakarta, Indonesia: Penerbit ANDI.
M.L. Zhang, & Z. H. Zhou. (2006). Multilabel neural networks with applications to functional genomics and text. IEEE transactions on Knowledge and Data Engineering, 1338-1351.
Nurcahyo, S. a. (2014). Rainfall Prediction in Kemayoran Jakarta Using Hybrid Genetic Algorithm (GA) and Partially Connected Feedforward Neural Network (PCFNN). Information and Communication Technology (ICoICT), (pp. 166-171).
Raharjo, J. S. (2013). Model Artificial Neural Network berbasis Particle Swarm Optimization untuk Prediksi Laju Inflasi. Sistem Komputer.
Reynaldi Ananda Pane, M. S. (2018). A Multi-lable Classification on Topics of Quranic Verses in English Translation using Multinomial Naive Bayes. 6th International Conference on Information and Communication Technology (ICoICT).
T.Sutojo, E. M. (2011). Kecerdasan Buatan. Yogyakarta: Andi.
Bila bermanfaat silahkan share artikel ini
Berikan Komentar Anda terhadap artikel Pemanfaatan Skrining dan Penyuluhan Kesehatan untuk Optimalisasi Penanganan Anemia pada Usia Remaja
ARTICLE HISTORY
Issue
Section
Copyright (c) 2025 Defi Nurul Hayati, Kurnia Ritma Dhanti, Eqwar Saputra, Tuflayfah Khasanah, Anisa Putri Salsabila

This work is licensed under a Creative Commons Attribution 4.0 International License.
Authors who publish with this journal agree to the following terms:
- Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under Creative Commons Attribution 4.0 International License that allows others to share the work with an acknowledgment of the work's authorship and initial publication in this journal.
- Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgment of its initial publication in this journal.
- Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (Refer to The Effect of Open Access).