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Journal : Jurnal Kesehatan Manarang

Diarrhea Prediction Model of Children Under Five Based on Sanitation Means Erlani, Erlani; Sulasmi, Sulasmi; Akbar, Fajar; Mulyadi, Mulyadi; Haderiah, Haderiah; Mappau, Zrimurti
Jurnal Kesehatan Manarang Vol 10 No 3 (2024): December 2024
Publisher : Politeknik Kesehatan Kemenkes Mamuju

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33490/jkm.v10i3.1520

Abstract

The Lamuru Health Center area has the highest number of diarrhea sufferers and is included in the top 10 most common diseases. The sanitation conditions of the house still need to be improved, as well as health requirements, such as clean water facilities, wastewater, family toilets, and waste management. The study aims to determine the prediction model of diarrhea in children under 5 years of age based on sanitation facilities in the village of Massenreng Pulu, Lamuru district, Bone Regency. This type of research is analytical and observational. The population in the study were all housewives who had toddlers in Massenreng Pulu Village, Lamuru District, Bone Regency, totaling 120 people. The study sample was mothers with toddlers as respondents, totaling 120 people, using the selection method selected by total sampling—data analysis with logistic regression test. The results show that there are three insignificant variables: clean water facilities (p-value= 0.500 (OR=0,652), toilet facilities p-value=0.808 (OR=0,895), and waste disposal facilities p-value= 0.922 (OR=0,928), meaning that the three variables do not affect the incidence of diarrhea toddlers. While the variable wastewater disposal facilities are significant, with a p-value=0.004 (OR=3,320), there is an influence on the incidence of diarrhea. This study concludes that clean water, toilets, and waste disposal facilities do not affect the incidence of diarrhea, so they cannot be included in the prediction model. Meanwhile, the variable sewerage facilities can enter predictive models with the incidence of diarrhea. There is a possibility of diarrhea occurring if the recommended wastewater conditions do not meet the requirements. It should make wastewater drainage channels that meet the requirements through government programs and with the help of local communities so that the sewerage is made permanently, waterproof, closed, and not humid.
Diarrhea Prediction Model of Children Under Five Based on Sanitation Means Erlani, Erlani; Sulasmi, Sulasmi; Akbar, Fajar; Mulyadi, Mulyadi; Haderiah, Haderiah; Mappau, Zrimurti
Jurnal Kesehatan Manarang Vol 10 No 3 (2024): Bahasa Inggris
Publisher : Politeknik Kesehatan Kemenkes Mamuju

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33490/jkm.v10i3.1520

Abstract

The Lamuru Health Center area has the highest number of diarrhea sufferers and is included in the top 10 most common diseases. The sanitation conditions of the house still need to be improved, as well as health requirements, such as clean water facilities, wastewater, family toilets, and waste management. The study aims to determine the prediction model of diarrhea in children under 5 years of age based on sanitation facilities in the village of Massenreng Pulu, Lamuru district, Bone Regency. This type of research is analytical and observational. The population in the study were all housewives who had toddlers in Massenreng Pulu Village, Lamuru District, Bone Regency, totaling 120 people. The study sample was mothers with toddlers as respondents, totaling 120 people, using the selection method selected by total sampling—data analysis with logistic regression test. The results show that there are three insignificant variables: clean water facilities (p-value= 0.500 (OR=0,652), toilet facilities p-value=0.808 (OR=0,895), and waste disposal facilities p-value= 0.922 (OR=0,928), meaning that the three variables do not affect the incidence of diarrhea toddlers. While the variable wastewater disposal facilities are significant, with a p-value=0.004 (OR=3,320), there is an influence on the incidence of diarrhea. This study concludes that clean water, toilets, and waste disposal facilities do not affect the incidence of diarrhea, so they cannot be included in the prediction model. Meanwhile, the variable sewerage facilities can enter predictive models with the incidence of diarrhea. There is a possibility of diarrhea occurring if the recommended wastewater conditions do not meet the requirements. It should make wastewater drainage channels that meet the requirements through government programs and with the help of local communities so that the sewerage is made permanently, waterproof, closed, and not humid.
Co-Authors Abdullah Abdullah Ahmad Chafid Alwi Ahmad, Hamsir Ahmad, Hasna Ahmad, Tasrif Aisyah Aisyah Ali Muhson Alwiansyah, Ilham Anggarini, Deri Fitri Anidar Anidar, Anidar Anisa Maulidya Antari Ayuning Arsi Astuti, Eka Ayu Atika Wijaya Ayu Citra Dewi Azizi, Ridho Khairul Bangun, Sofia Elia Sari Budirman, Budirman Bunga Mari Sembiring C.Z., Muh Imam Cahaya, Cucu Arum Dwi Chair, Sultan Ayughi Chusnu Syarifa Diah Kusuma Daru Wahyuni Daulay, Isma Hayati Dewangga, Vector Stephen Dhini, Fitri Wahyu Dora Darussalam, Dora Dune, Pelagia Dwi Lestari, Mega Cahya Dwi Lestari Dzakwan, Khairunia Elly Kismini Emy Saelan Erlani Erlani, Erlani Erlina Y Kongkoli Fachruddin Azmi, Fachruddin Fajar Akbar Fajar Akbar Fajar Fajar Fatmawati, Ni Luh Putu Indah Sari FATMONA, SARIFFUDIN Fepriani, Isnaneni Fikar, Samsul Firliana, Firliana Fitriani, Yessi Fulia Aji Gustaman, Fulia Aji Gunawan Gunawan Gunawan Hartono Gurusinga, Mona Fitri H. Mahmud, Magfirah Haderiah Haro, Ginda Hasta, Meisya Herlina Dimiati, Herlina Hidayat Hidayat Hulu, Nischayanty Iin Maulina Inayah Inayah Islami, Putri Islamy, Cindy Fa'era Iswantir M Janna, Miftahul Jayatmi, Irma juherah, juherah Kafidah, Mawadatun Khairani Khairani Khiki Purnawati Kasim, Khiki Purnawati Kiromim Baroroh Kopong Tokan, Pius Kusumawati, Annisa La Taha , La Taha La taha, la taha Lestari, Mega Cahya Dwi M Nasir M.N Tiara, Angela Maharani, Himmas Suci Prasasti Mappau, Zrimurti Mardiyanti, Naila Mariam, Metta Masdiana Masdiana Mastuti Widi Lestari, Mastuti Widi Mesiono, Mesiono Muchlisyam, Muchlisyam Mufdlilah, Mufdlilah Muhammad Fadhli Mulyadi , Mulyadi Mulyadi Mulyadi Munawarah, Laily Nafitasari, Laela Kurnia Nani, Rina Ayu Putri Neliwati Nenden Susilowati Ninuk Sholikhah Akhiroh Nita Kusumawardani Nuning Zaidah, Nuning Nur Azizah Nur Sjafani Nurhaidah, Nurhaidah Owa, Krispina Paihaly, Viorala Ponty S.P. Hutama Pravitasari, Arum Purba, Jhan Saberlan Purwaningrum, Ika Puspita, Juita Dea Puspita, Yenny Putra, Azhar Shaka Sandiva Sugianto Putri, Magdalena Tri Rachman, Erwinda Rafika. RA, Andi Ramli, Alif Razali Razali Ronaldy, Henri Rostina Rostina Rosyida, Luluk Royyani, Miftah rubino, rubino Rusdi Andid, Rusdi Sabtu, Nahriza Sabtu, Rasmita Saelan, Emy sahani, Wahyuni Sakti, Hari Saktiningsih Salmi wati, Salmi wati Sanjaya, Angga Nugraha Sarif Robo Sartika, Diana Sartika, Diana Sartika Sasmita, Anggit Sembiring, Pintata Sianipar, Masria Phetheresia Simanjuntak, Afrilius Simanjuntak, Siti Khalijah SITI RACHMAWATI Siti Rukiyah, Siti Sofia Eliasari Br Bangun Sri Lestari SRI LESTARI Sri Utami Sri Wahyuni Suciani, Umrah Nur Sugeng Haryanto Suhartanto Suhartanto Suparman Suparman Suryadi, Iwan Sutrisno AB, Joko Syam, Nadya Syarifudin, Aminah Tejo Nurseto Thaib, Teuku Muhammad Tien Rafida, Tien Tika, Diana Sartika Titin Hera Widi Handayani Vania, Tsarwa Vector Stephen Dewangga Wahyuni, Sri Intan Wardarita, Queen Wardarita, Ratu Wedra, Wedra Aprison Wisataone, Voettie Yudhiati, Ratna Yuli Kurniati Werdiningsih, Yuli Kurniati Yuniarti Yuniarti