Articles
<![CDATA[Pola Penyebaran COVID-19 di DKI Jakarta Pada Bulan Maret-Juli 2020 Secara Spasial ]]>
<![CDATA[Ina Rahayu Ginting]]>;
<![CDATA[Martya Rahmaniati Makful]]>;
<![CDATA[Manendra Muhtar]]>
<![CDATA[ Jurnal Kedokteran dan Kesehatan Vol 17, No 2 (2021): JURNAL KEDOKTERAN DAN KESEHATAN ]]>
Publisher : <![CDATA[Faculty of Public Health, Faculty of Medicine and Health, Universitas Muhammadiyah Jakarta ]]>
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DOI: 10.24853/jkk.17.2.161-169
<![CDATA[Berbagai negara di dunia termasuk Indonesia tengah menghadapi pandemi Coronavirus Disease (COVID-19) yang disebabkan oleh Severe Acute Respiratory Syndrome Coronavirus-2 (SARS-CoV-2).Penyebaran COVID-19 di Indonesia salah satunya di Provinsi DKI Jakarta terjadi dengan pesat. DKI Jakarta merupakan wilayah padat penduduk, sehingga risiko penyebaran COVID-19 juga tinggi. Penelitian ini bertujuan untuk melihat penyebaran kasus COVID-19 di DKI Jakarta pada bulan Maret-Juli 2020 terjadi secara acak atau kejadian di suatu wilayah dipengaruhi oleh kasus wilayah-wilayah tetangganya dengan menggunakan analisis spasial Global Moran’s Index dan LISA (Local Indicators of Spatial Autocorrelation). Hasil analisis spasial pola distribusi COVID-19 di DKI Jakarta pada bulan Maret-Juli 2020 menunjukkan daerah dengan konsentrasi kasus yang tinggi, terutama di bagian Jakarta Utara serta titik lainnya tersebar di Jakarat Barat dan Jakarta Pusat. Daerah/ kelurahan yang memiliki kuadran high-high terdapat pada kelurahan-kelurahan di Jakarta Utara, Jakarta Pusat, dan Jakarta Barat, daerah/ kelurahan dengan kuadran low-low, banyak berada di Jakarta Selatan dan Jakarta Timur. Pola spasial COVID-19 di DKI Jakarta dapat menjadi pertimbangan untuk penyusunan kebijakan pencegahan dan pengendalian COVID-19. Various countries in the world including Indonesia are currently still facing the Coronavirus Disease (COVID-19) pandemic caused by Severe Acute Respiratory Syndrome Coronavirus-2 (SARS-CoV-2). The spread of COVID-19 in Indonesia is very fast, including in DKI Jakarta. DKI Jakarta is a densely populated area, therefore the risk of COVID-19 spread is very high. This study aims to see that the spread of COVID-19 cases in DKI Jakarta in March-July 2020 occurred randomly or events in an area were influenced by cases in neighboring areas using the Global Moran's Index and LISA (Local Indicators of Spatial Autocorrelation) spatial analysis.The results of the spatial analysis showed that the areas with the high-high concentration of cases are mostly located in North Jakarta, with West Jakarta and Central Jakarta also having several areas with high cases. Areas with high-high quadrants are found in North Jakarta, Central Jakarta, and West Jakarta, areas with low-low quadrants are mostly in South Jakarta and East Jakarta.The spatial pattern of COVID-19 in DKI Jakarta can be a consideration for the formulation of policies for the prevention and control of COVID-19.]]>
<![CDATA[Mapping and Determining of Priority Areas Interventions for Toddler Diarrhea in Surabaya ]]>
<![CDATA[Yuli Puspita Devi]]>;
<![CDATA[Sofwatun Nida]]>;
<![CDATA[Muthmainnah Muthmainnah]]>;
<![CDATA[Martya Rahmaniati Makful]]>
<![CDATA[ Qanun Medika - Jurnal Kedokteran FK UMSurabaya Vol 6, No 2 (2022): Journal Qanun Medika Vol 6 No 02 ]]>
Publisher : <![CDATA[Universitas Muhammadiyah Surabaya ]]>
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DOI: 10.30651/jqm.v6i2.12337
<![CDATA[Diarrhea is still the second leading cause of death in toddlers besides pneumonia. The highest number of cases of diarrhea in toddlers in East Java is Surabaya. This study aimed to describe the distribution of toddler diarrhea based on risk factors using a regional mapping approach in Surabaya. This study was an ecological study with a regional mapping approach. The independent variables used as risk factors for toddler diarrhea were healthy latrines, drinking water facilities, open defecation free (ODF), and complete basic immunizations. The unit of analysis used was the districts that were processed from the Surabaya Health Profile data in 2019. Results showed most cases of diarrhea under five occurred in Wonokromo, Sawahan, Tambak Sari, and Kenjeran District. There was a significant relationship between toddler diarrhea with complete basic immunization (p = 0.008), while the relationship with healthy latrines, ODF, and drinking water sanitation was not significant. This study concluded that 8 of 31 districts were prioritized for handling toddler diarrhea in Surabaya. In addition, there is a need for dissemination to the community through optimizing the role of health workers at the Puskesmas regarding complete basic relationships and the incidence of diarrhea in toddlers.]]>
<![CDATA[COVID-19 and Cancer Care in Indonesia: What we have done in Dharmais Cancer Center Hospital ]]>
<![CDATA[Hendi Setiadi]]>;
<![CDATA[Fifi Dwijayanti]]>;
<![CDATA[Martya Rahmaniati Makful]]>
<![CDATA[ Indonesian Journal of Cancer Vol 14, No 2 (2020): June ]]>
Publisher : <![CDATA[National Cancer Center - Dharmais Cancer Hospital ]]>
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DOI: 10.33371/ijoc.v14i2.747
<![CDATA[At the end of 2019, the novel coronavirus (CoV) of severe acute respiratory syndrome (SARS), named SARS- CoV-2 was approved as a microbial agent that causes viral pneumonia in patients who are linked epidemiologically to the seafood market in Wuhan (Wuhan) Hubei province, China [1]. The World Health Organization (WHO) stated the coronavirus or COVID-19 as a pandemic because it has spread globally in the world since March 11, 2020 [2]. There have been more than 8 million cases reported with more than 450 thousand deaths around the world until June 19, 2020 [3]. Indonesia reported the first cases of COVID-19 in early March 2020 and currently 43,803 cases with 2,373 deaths [4]. Indonesia has the highest cases of COVID-19 in Southeast Asia [5]. WHO stated that according to the current evidence, coronavirus is transmitted among people through respiratory droplets and contact routes [6-8]. Droplet transmission is different from airborne disease. Droplet transmission occurs when a person closely contacted (within 1 m) with someone who has respiratory symptoms (e.g. coughing or sneezing,) and was therefore at risk of having his/her mucosae (mouth and nose) or conjunctiva (eyes) exposed to potentially infective respiratory droplets. Droplet transmission may also occur through fomites in the immediate environment around the infected person [9]. Increasing cases occur continuously become alert for our institution as health care providers.]]>
<![CDATA[Effect of nutrition improvement program implementation on stunting in children under two years old ]]>
<![CDATA[Yolanda Handayani]]>;
<![CDATA[Martya Rahmaniati Makful]]>
<![CDATA[ Berita Kedokteran Masyarakat (BKM) Vol 35, No 1 (2019) ]]>
Publisher : <![CDATA[Fakultas Kedokteran Universitas Gadjah Mada ]]>
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DOI: 10.22146/bkm.42023
<![CDATA[PurposeThe first thousand days of life is a critical momentum where children from the age of 2 years need the best nutrition for brain development. This study examined the effect of appropriate timing of supplementary feeding and vitamin A consumption on nutritional status of children below age of twoMethodThe design of this study is cross sectional. The sample in this study is based on data of the Nutritional Status Monitoring 2017 which is amounted to 27.208, consisting of pregnant women who took iron folate supplementation (TTD); mother gave early breastfeeding initiation, exclusive breastfeeding, and supplementary food; children who received vitamin A; and children who get height measurement by age.ResultsThe odds of mothers not providing supplementary feeding to children aged 7-23 months have a short nutritional status 1,137 times greater than mothers who provide supplementary feeding. While the Vitamin A variable has odds ratio 0,659 significantly, the odds of children not getting Vitamin A have short nutritional status 0, 659 times greater than children who received Vitamin A. Conclusion: The risk of stunting occurs in a period of 6 to 24 months due to the period for growth in height. Health workers at the primary health care should inform mothers to provide supplementary food and vitamin A at the 6-24 month of age.]]>
<![CDATA[Analisis prevalensi penggunaan alat kontrasepsi pada wanita yang telah menikah di indonesia melalui pendekatan spasial ]]>
<![CDATA[Risma Risma]]>;
<![CDATA[Martya Rahmaniati Makful]]>
<![CDATA[ Syntax Literate Jurnal Ilmiah Indonesia ]]>
Publisher : <![CDATA[Syntax Corporation ]]>
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DOI: 10.36418/syntax-literate.v7i3.6535
<![CDATA[Penggunaan kontrasepsi saat ini didominasi oleh metode jangka pendek melalui metode suntikan dan pil. Metode kontrasepsi tersebut berpotensi menyebabkan ketidakberlanjutan (drop out) jika dibandingkan dengan Metode Kontrasepsi Jangka Panjang (MKJP) menggunakan implan atau IUD. Studi ini bertujuan untuk menganalisis prevalensi penggunaan kontrasepsi pada wanita yang telah menikah di Indonesia melalui metode spasial. Hasil yang diperoleh menunjukkan bahwa kontrasepsi jangka pendek masih menjadi pilihan utama, yaitu suntik 48,51% dan pil 20,71%. Sedangkan presentase MKJP menggunakan implan 12,96%; IUD 10,39%; MOW/tubektomi 3,68%; kondom 3,27%; dan MOP/vasektomi 0,47%. Oleh karena itu diperlukan peran pemerintah dalam membina masyarakat untuk memilih alat kontrasepsi yang efektif dan efisien. Hal ini sangat penting untuk memberikan hak-hak kesehatan reproduksi dan meningkatkan kesehatan keluarga Indonesia]]>
<![CDATA[ANALISIS SPASIAL PRIORITAS PENANGANAN STUNTING DI PROVINSI ACEH TAHUN 2021 ]]>
<![CDATA[Sakti, Eka Satriani]]>;
<![CDATA[Makful, Martya Rahmaniati]]>;
<![CDATA[Dewi, Romariana]]>
<![CDATA[ Jurnal Mutiara Kesehatan Masyarakat Vol 8 No 1 (2023): Jurnal Mutiara Kesehatan Masyarakat ]]>
Publisher : <![CDATA[Program Studi Kesehatan Masyarakat Universitas Sari Mutiara Indonesia ]]>
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DOI: 10.51544/jmkm.v8i1.3856
<![CDATA[Stunting adalah kondisi tubuh pendek yang tidak sesuai dengan kurva pertumbuhan tinggi/panjang badan berdasarkan usia yang disebabkan oleh gangguan gizi kronis. Prevalensi stunting tahun 2021 di Indonesia adalah 24,4%, belum mencapai target penurunan yang ditetapkan WHO yaitu 20%. Prevalensi stunting di Provinsi Aceh masih tergolong tinggi yaitu 33,2%. Tujuan dari penelitian ini adalah untuk mendeskripsikan dan memetakan faktor-faktor yang berkorelasi dengan stunting sehingga dapat ditentukan daerah prioritas penanganan stunting di Provinsi Aceh. Penelitian merupakan studi deskriptif ekologi dengan menggunakan Sistem Informasi Geografis. Sumber data dari Studi Status Gizi Indonesia (SSGI) tahun 2021 dan Profil Kesehatan Aceh tahun 2021. Klasifikasi berdasarkan standar WHO untuk prevalensi stunting dan metode natural breaks (jenks) untuk variabel faktor-faktor yang berkorelasi dengan stunting. Penentuan daerah prioritas dilakukan dengan akumulasi hasil skoring seluruh variabel untuk masing-masing kabupaten/kota. Hasil analisis diketahui kabupaten/kota prioritas 1 adalah Kabupaten Pidie, Bireun, Aceh Tamiang, Aceh Timur, Aceh Besar, dan Aceh Utara. Saran dilakukan intervensi penanganan stunting pada wilayah prioritas 1 dan diperlukan analisis lanjutan penentuan daerah prioritas penanganan stunting tidak hanya berdasarkan variabel di penelitian ini, tetapi juga variabel yang berkaitan dengan intervensi gizi sensitif sehingga penentuan daerah prioritas dapat lebih tepat.]]>
<![CDATA[Analisis Spasial Cakupan Imunisasi di Kabupaten Serang, Indonesia di Tahun 2021 ]]>
<![CDATA[Fitri, Laelatul]]>;
<![CDATA[Makful, Martya Rahmaniati]]>
<![CDATA[ Faletehan Health Journal Vol 11 No 03 (2024): Faletehan Health Journal, November 2024 ]]>
Publisher : <![CDATA[Universitas Faletehan ]]>
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DOI: 10.33746/fhj.v11i03.744
<![CDATA[The incidence of deaths of children under five years of age in low- and middle-income countries due to imperfect immune system was estimated to increase, which actually can be prevented and reduced by immunization. In 2021, Banten Province received the highest immunization rating in Indonesia with coverage of 94.8%. However, in its Serang Regency, complete basic immunization coverage was only 89.2%. The aim of this study was to find out the spatial distribution of complete immunization coverage in Serang Regency, Banten Province, Indonesia in 2021. This research used an ecological study design with spatial analysis to estimate and analyze the distribution of immunization coverage in 29 districts in Serang Regency by looking at the number of integrated health post (Ina. posyandu) and the number of midwives spread across them. The analysis results showed a negative spatial autocorrelation of immunization coverage in Serang Regency in 2021. There was 1 district included in quadrant II (low-high), namely Bandung District and 1 district included in quadrant IV (high-low), namely Padarincang District.]]>
<![CDATA[Hubungan Kebutuhan Pelayanan Keluarga Berencana pada Remaja Belum Kawin dengan Niat Menggunakan Kontrasepsi di Masa Dewasa (Analisis SDKI 2017) ]]>
<![CDATA[Adella, Tiara]]>;
<![CDATA[Damayanti, Rita]]>;
<![CDATA[Makful, Martya Rahmaniati]]>
<![CDATA[ Perilaku dan Promosi Kesehatan : Indonesian Journal of Health Promotion and Behavior Vol. 3, No. 1 ]]>
Publisher : <![CDATA[UI Scholars Hub ]]>
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<![CDATA[Background. Indonesia is the country with the most population in Southeast Asia. In anticipating a Population Growth Rate problem, the government is preparing a family planning program with youth as one of the targets. Objective. This study aimed to determine the relationship between the need for family planning services in unmarried adolescents and the intention to use contraception in adulthood. Method. The study is quantitative analytic with a cross-sectional approach. The questionnaire used by Adolescent Men (RP) and Women of Fertile Age (WUS). The population in this study were all unmarried adolescents in Indonesia, with sample amount 18,464 respondents. Results. 82.6% of adolescents intend to use contraception in the future. Chi-square test results show a relationship between the need for family planning services for unmarried adolescents with the intention to use contraception in adulthood. The result of the multivariate analysis shows a relationship between the need for family planning services for unmarried adolescents with the intention to use contraception in adulthood after being controlled for confounding variables. Conclusion: Unmarried male adolescents who do not need family planning services, are exposed to mass media, have knowledge of]]>
<![CDATA[Spatial Analysis of Stunting Prevalence According to Family Data Collection Indicators in Indonesia ]]>
<![CDATA[Devi, Yuli Puspita]]>;
<![CDATA[Herdayati, Milla]]>;
<![CDATA[Makful, Martya Rahmaniati]]>;
<![CDATA[Muthmainnah, Muthmainnah]]>;
<![CDATA[Ekoriano, Mario]]>;
<![CDATA[Ruwandasari, Nurvita]]>;
<![CDATA[Mardiah, Kholifatul]]>
<![CDATA[ Media Publikasi Promosi Kesehatan Indonesia (MPPKI) Vol. 8 No. 3 (2025): March 2025 ]]>
Publisher : <![CDATA[Fakultas Kesehatan Masyarakat, Universitas Muhammadiyah Palu ]]>
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DOI: 10.56338/mppki.v8i3.6931
<![CDATA[Introduction: Stunting is malnutrition in children that reduces productivity and susceptibility to degenerative diseases. In 2021, West Java Province recorded the highest stunting prevalence on Java Island. We analyzed the distribution and risk factors for the prevalence of stunting in the West Java Province by considering spatial effects. Methods: This study was ecologically designed using a spatial approach. Data were obtained from Studi Status Gizi Indonesia/Indonesian Nutritional Status Study and Pendataan Keluarga/Family Data Collection, which will be released in 2021 especially in West Java. Data analysis was conducted using a spatial error model (SEM) in GeoDa, and stunting prevalence mapping was performed using QGIS (Quantum geographic information system) 2.1.8 version. Results: No spatial correlation was identified for stunting prevalence in West Java Province in 2021. However, a spatial correlation was observed in the residual value of the determinants of stunting prevalence. SEM analysis showed that the proportion of low-income families, inadequate drinking water sources, unmet needs, inactive Bina Keluarga Balita/Toddler Family Development, unwanted pregnancies, family planning, and limited access to internet-based information had a significant effect on stunting prevalence. Conclusion: This study provides suggestions for increased focus on addressing environmental problems in rural areas and overcoming poverty in all districts/cities in West Java Province which was the province with the highest number of population.]]>
<![CDATA[Spatial Durbin Model on the Utilization of Delivery at Health Facilities: A 2017 Indonesian Demographic and Health Survey Analysis ]]>
<![CDATA[Wahyuni, Indah Sri]]>;
<![CDATA[Gustina, Ira]]>;
<![CDATA[Makful, Martya Rahmaniati]]>;
<![CDATA[Eryando, Tris]]>
<![CDATA[ Kesmas Vol. 19, No. 2 ]]>
Publisher : <![CDATA[UI Scholars Hub ]]>
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<![CDATA[The utilization of delivery at health facilities is a major intervention in reducing 16 to 33% of deaths. This study aimed to determine the model of utilization of delivery at health facilities in Indonesia in 2017 and its influential factors. This study used secondary data from the 2017 Indonesian Demographic and Health Survey using a Spatial Durbin Model (SDM) approach. The population was mothers aged 15 – 49 years, spread across 34 provinces of Indonesia, and had 15,321 samples. The results showed that the Moran’s I value was positive (0.146) and significant at p-value = 0.007, indicating clustered regions with similar characteristics. The SDM modeling estimation results (R2 = 91.61%) presented those dependent and independent variables that influenced the utilization of delivery at health facilities and its influential factors. The significant and most dominant direct factor that influenced the utilization of delivery at health facilities was pregnancy visits, while the most dominant indirect factor was socioeconomic status. Therefore, further policy planning is expected to be based on regional specificities, and effective intervention programs should be designed based on these factors.]]>
