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THE COGNITIVE SCREENING IN CHILDREN UNDER FIVE YEARS OLD IN DEVELOPING COUNTRIES: A SYSTEMATIC LITERATURE REVIEW Aisah, Siti; Siregar, Kemal Nazarudin
Proceedings of the International Conference on Applied Science and Health No 3 (2018)
Publisher : Proceedings of the International Conference on Applied Science and Health

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (493.09 KB)

Abstract

Background: Stunting or being too short affects one-third of children under five years old in developing countries. Stunting has long-term effects on cognitive development, school performance and economic productivity in adulthood. Early detection of cognitive impairment caused by stunting offers rapid strategies for reducing stunting by examine the consequence on cognitive development. Reliable assessment tools are necessary to properly track cognitive development caused by stunting. This study identifies that the use of appropriate cognitive assessment tools assists in early detection of the impact of stunting in children under five years old in developing countries. Methods: Systematic literature review using PRISMA-P guidelines were applied for this study. Studies were identified from 4 electronic sources (Scopus, Science Direct, EBSCO and Google Scholar) from 2015 to 2018 using relevant keywords. All studies were conducted on children under five years old in developing countries. The used studies for this review are limited to full-text in English and Bahasa Indonesia. Studies conducted from 19 April to 11 May 2018. Results: From 492 studies that have been extracted, there are 10 studies reported the cognitive impairment assessment tools for under five years old children used in developing countries. The satisfying assessment tools in eligibility criteria are Bayley Scales of Infant Development (BSID III), the Indonesian child development pre-screening questionnaire (Kuesioner Pra-Skrining Perkembangan/KPSP ) and Denver Developmental Screening Test (DDST II). They appear promising to be used in identifying and monitoring cognitive development of children in developing countries. Conclusions: In the context of stunting in children under five years old, rapid assessment of cognitive ability is feasible for routine clinical use. The BSID III, KPSP and DDST II are the most common used in developing countries and they have moderately good accuracy to detect the cognitive impairment. 
ANALISIS SENTIMEN PADA TWITTER TERHADAP PENGGUNAAN ANTIBIOTIK DI INDONESIA DENGAN NAIVE BAYES CLASSIFIER Dwiraswati, Oke; Siregar, Kemal Nazaruddin
Media Informasi Vol 15, No 1 (2019): Media Informasi
Publisher : Poltekkes Kemenkes Tasikmalaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (730.74 KB)

Abstract

 Saat ini, masih ditemukan perilaku yang salah dalam penggunaan antibiotik sehingga menjadi risiko terjadinya resistensi. WHO mencatat angka kematian akibat resistensi antibiotik sampai tahun 2014 sekitar 700.000 orang/tahun dan pada 2050 diperkirakan 10 juta jiwa/tahun. Hal ini terjadi karena kurangnya pengetahuan masyarakat tentang penggunaan antibiotik yang tepat.  Untuk mengetahui opini masyarakat tentang penggunaan antibiotik dengan cepat dapat dilakukan analisis sentimen dari media sosial. Melalui media sosial salah satunya Twitter, masyarakat memberikan beragam opini, sehingga dapat dibuat analisis sentimen terhadap penggunaan antibiotik di Indonesia yang diklasifikasikan menjadi 2 kelas yaitu positif dan negatif. Tujuan penelitian ini merancang sistem untuk analisis sentimen terhadap penggunaan antibiotik dari Twitter menggunakan metode pengklasifikasian berbasis machine learning, yaitu Naive Bayes Classifier. Dilakukan serangkaian tahapan yaitu pengumpulan data dari Twitter, preprocessing, proses klasifikasi dengan algoritma Naive Bayes Classifier, dan evaluasi performa. Dari hasil uji dengan 10-fold cross validation diperoleh nilai rata-rata akurasi 84% dengan rincian precission 88%, recall 81% dan f-measure 84%  dengan jumlah 200 tweet (100 negatif,100 positif) dibagi ke dalam data latih:data uji = 9:1. Disimpulkan bahwa metode Naive Bayes Classifier dapat diterapkan untuk melakukan analisis sentimen terhadap penggunaan antibiotik di Indonesia. Hasil analisis digunakan sebagai pertimbangan dalam menentukan strategi kampanye penggunaan antibiotik yang tepat.
Transisi Demografi di Indonesia; Seabad ? Siregar, Dr. Kemal N.; Suwandono, MPH, DR. PH, Dr. Agus
Media Penelitian dan Pengembangan Kesehatan Vol 2, No 1 (1992)
Publisher : Badan Penelitian dan Pengembangan Kesehatan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22435/mpk.v2i1.685.

Abstract

Transisi demografi adalah proses perubahan kematian dan kelahiran yang berlangsung dari tingkatan yang tinggi ke tingkatan yang rendah dalam suatu kurun waktu pada masyarakat tertentu. Transisi ini muncul dengan terjadinya banyak perubahan di masyarakat, diantaranya adalah perubahan sosio-ekonomi yang berhubungan timbal balik dengan kesehatan.
Rancangan Desain Sistem Monitoring Home Quarantine Kasus Konfirmasi Tanpa Gejala Covid-19 Berbasis Web-Mobile Di Surabaya Hamidah Indrihapsari; Sabarinah Prasetyo; Kemal Nazaruddin Siregar
Preventia : The Indonesian Journal of Public Health Vol 6, No 1 (2021)
Publisher : Universitas Negeri Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17977/um044v6i1p51-66

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As a new emerging and highly infectious disease, the cases of Coronavirus Disease (COVID-2019) have been growing rapidly. To curb the spread of COVID-19, one of the measures is quarantining the patients who are infected in the hospital or in a dedicated monitoring center. However, because of the fast spread of the coronavirus, the health resources such as health facilities, healthcare workers, and monitoring centers, are overwhelmed. To handle this problem, asymptomatic patients are suggested to self-quarantine in their own home. However, this can be challenging because it is hard to monitor these patients all the time. Global Positioning System (GPS) & Geofencing technology can become solution for this issue, to monitor the COVID-19 patients by tracking the location of these home-quarantined patients. Web-mobile application for monitoring COVID-19 home-quarantined patients is proposed to handle the problems arising because of COVID-19. The prototyping method is used in this system development until step 2; 1) system requirement analysis, and 2) system design. System requirement analysis was done with qualitative method via online in-depth interviews with 5 (five) potential users (a staff from District Health Office of Surabaya, one from Primary Healthcare Centers in Surabaya, one surveillance staff, one doctor, and one asymptomatic COVID-19 patient from Surabaya) and literature review. System design consists of logic designs and interface designs which is designed to fulfill the requirements needed in the first step. Most of the potential users interviewed, stated that the development of this system will be really helpful for them, but it must be followed with the local regulation about the consequences of breaking the home quarantine rule. In conclusion, this system design can be the basic concept for developing the system in the next step.
Model Sistem Informasi untuk Asesmen Risiko HIV Menggunakan Data Perilaku Rohana Uly Pradita Siregar; Kemal Nazaruddin Siregar
Preventia : The Indonesian Journal of Public Health Vol 6, No 1 (2021)
Publisher : Universitas Negeri Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17977/um044v6i1p36-42

Abstract

Pelaporan kasus HIV di Indonesia mengalami kenaikan tiap tahun. Namun, jumlah kumulatif kasus HIV yang masuk ke Kementerian Kesehatan sampai tahun 2019 hanya sebesar 59 persen dari estimasi ODHA. WHO merekomendasikan targeted screening pada individu berisiko tinggi sebagai sarana untuk meningkatkan penemuan kasus HIV. Perlu dikembangkan alat untuk memperkirakan secara objektif risiko seseorang terkena infeksi HIV. Salah satu model prediksi HIV yang disusun dari data perilaku adalah Denver HIV Risk Score. Tujuan dari penelitian ini adalah untuk merancang sistem informasi yang dapat melakukan asesmen risiko HIV sehingga individu yang berisiko tinggi dapat diarahkan untuk melakukan VCT. Metode pengembangan sistem yang digunakan adalah prototyping yang dimulai dari analisis kebutuhan sistem, perencanaan sistem, sampai perancangan sistem. Hasil dari penelitian ini berupa rancangan sistem informasi untuk asesmen risiko HIV berbasis web.
Analisis Kelayakan e-Rapor Kesehatan Siswa untuk Meningkatkan Peran Orang Tua, Sekolah dan Puskesmas dalam Pemantauan Status Kesehatan Siswa Retnowati Retnowati; Kemal N Siregar
Surya Medika: Jurnal Ilmiah Ilmu Keperawatan dan Ilmu Kesehatan Masyarakat Vol 15, No 2 (2020)
Publisher : STIKes Surya Global Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (456.503 KB) | DOI: 10.32504/sm.v15i2.370

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ABSTRACT Background of Study: Student health records are routinely carried out in schools, but only a manual record in the form of a Health Report Book which has many weaknesses for monitoring student health status. Then an electronic student health record (e-Rapor Kesehatan) was developed at the Jagakarsa District Health Center. The aim of this study is to analyze the feasibility to develop an electronic student health record prototype to increase the role of parents, schools and health center in monitoring student health status to be implemented.  Methods: This study provides a complete TELOS  descriptive analysis (Technology Feasi-bility, Economic, Legal, Operational and Schedule Feasibility) of the electronic student health record prototype. Results: Based on the TELOS analysis conducted that Technology Feasibility, Economic, Operational and Schedule Feasibility was appropriate for the development of electronic student health records prototype. However, the legal aspect still needed to be strengthened, because it was not yet supported by the existence of regulations or standard guidelines for the use of electronic student health records. Conclusion: In conclusions, electronic student health records prototype is feasible to be developed. In the future, policy advocacy related to the legal aspects of using electronic student health records needs to be done so that electronic student health records can be implemented. Keywords: Feasibility analysis, student health record, student’s health
Geospatial-Based Information Systems Model for Disaster Management of Reproductive Health Muhammad Sapoan Hadi; Sutanto Priyo Hastono; Kemal Nazarudin Siregar; Dumilah Ayuningtyas
Media Kesehatan Masyarakat Indonesia Vol. 16 No. 1: MARET 2020
Publisher : Faculty of Public Health, Hasanuddin University, Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (664.571 KB) | DOI: 10.30597/mkmi.v16i1.8780

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Indonesia is a disaster-prone area, but it is often found that the response process is slow at the very beginning of a disaster. Furthermore, disasters are often unpredictable. Therefore, simulation of preparedness, mitigation, and disaster management should be conducted continuously and systematically, both in manual and electronic manner by utilizing advance technology in geospatial. The aim of this study to develop a model of geospatial-based information systems in disaster management of reproductive health sub-cluster (SIGAB KESPRO BISA) in Nusa Tenggara Barat. Data collection was conducted through in-depth interviews with several stakeholders. To complete the methodological approach and to obtain the system requirement, a content analysis was done toward in-depth interviews result. The research continued with the development of information system models. The analysis results by in-depth interview indicate the availability of infrastructure and the importance of the system offered. The SIGAB KESPRO BISA model needs to be composed of three main functions, namely preparedness and mitigation systems, logistics distribution, and reproductive health services. The design of the SIGAB KESPRO BISA model has been built to facilitate the process of developing the SIGAB KESPRO BISA application system so that disaster management can be carried out with high effectiveness and efficiency.
Akses Remaja dengan Komplikasi Kehamilan terhadap Pelayanan Persalinan dan Kelangsungan Hidup Anak di Indonesia Tin Afifah; Novianti Novianti; Suparmi Suparmi; Kemal Nazaruddin Siregar; Nurillah Amaliah; Lamria Pangaribuan; Ning Sulistiyowati
Media Penelitian dan Pengembangan Kesehatan Vol 29 No 4 (2019)
Publisher : Sekretariat Badan Penelitian dan Pengembangan Kesehatan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22435/mpk.v29i4.2552

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Abstract Age-Specific Death Rate (ASDR) cases of maternal death are highest in the adolescent group (<20 years). Adolescent pregnancy is a risky pregnancy, so it is necessary to deliver at health facilities. A complication of pregnancy in adolescents is also at risk of childhood mortality. The study aims to assess the access of pregnant adolescents with complications to delivery facilities and the relation with the survival of the child. This study is a secondary data analysis of the 2017 Indonesia Demographic and Health Survey (IDHS). The unit of analysis of live births five years preceding survey, and mother's age birth before 35 years (14,634 live births). There are 2 dependent variables: access to delivery services (skill birth attendant and health facilities); and survival of the child (neonatal, infant and under-five mortality). Interest variables is multiple high-risk category, a combination of morbidity status (complications during pregnancy) and age adolescents (<20 years) compared adults (20-34 years). Covariate variables are parity and characteristics (mother’s education, residence and wealth index). Statistical test with logistic regression, 95%CI. All pregnancies with complications were significant association with neonatal and infant mortality. Specifically adolescent pregnancy with complications is also significantly associated with under-five mortality. In adolescents with pregnancy complications had OR neonatal mortality=7.4, OR infant mortality=4.56 and OR infant mortality=3.73, compared with adults pregnant without complication. Pregnancies ages 20-34 with complications having neonatal OR=1.95 and OR infant mortality=1.64. Pregnant adolescents are significantly associated with facilities of delivery (OR<1). The conclusions are: the access of adolescents with pregnancy complications to childbirth at the health facility is still low; adolescent pregnancy with complications is significantly related to childhood mortality and the highest risk of neonatal mortality. ABSTRAK Age Spesific Death Rate (ASDR) kasus kematian maternal tertinggi pada kelompok remaja (<20 tahun). Kehamilan pada usia remaja merupakan kehamilan berrisiko, sehingga mereka perlu akses ke fasilitas persalinan yang aman. Kehamilan dengan komplikasi pada remaja juga berisiko terhadap kematian anaknya. Tujuan studi untuk menilai akses remaja yang hamil dengan komplikasi terhadap pelayanan persalinan dan mengetahui status kelangsungan hidup anaknya. Studi ini merupakan analisis data sekunder Survei Demografi dan Kesehatan Indonesia (SDKI) 2017. Unit analisis adalah kelahiran hidup periode lima tahun sebelum survey dan saat dilahirkan usia ibu belum mencapai 35 tahun (14.634 kelahiran hidup). Variabel dependen yang diteliti ada 2: akses ke pelayanan persalinan (tenaga kesehatan dan fasilitas pelayanan kesehatan); dan kelangsungan hidup anak (kematian: neonatal, bayi, dan balita). Variabel interes adalah status ganda yaitu kombinasi status komplikasi kehamilan dan umur risiko remaja dibandingkan umur tidak berisiko (20-34 tahun). Variabel kovariat: paritas dan karakteristik (pendidikan, tempat tinggal dan indeks kekayaan). Uji statistik dengan regresi logistik, 95%CI. Semua kehamilan dengan komplikasi berhubungan signifikan dengan kematian neonatal dan bayi bila dibandingkan dengan kehamilan usia 20-34 tanpa komplikasi. Khusus kehamilan remaja dengan komplikasi juga berhubungan signifikan dengan kematian balita. Pada remaja dengan komplikasi kehamilan mempunyai OR kematian neonatal=7,4, OR kematian bayi=4,56 dan OR kematian balita=3,73. Kehamilan usia 20-34 dengan komplikasi mempunyai OR neonatal=1,95 dan OR kematian bayi=1,64. Remaja hamil berhubungan signifikan dengan persalinan di fasyankes (OR<1). Kesimpulan studi ini adalah akses remaja dengan kehamilan komplikasi terhadap persalinan di fasyankes masih rendah. Kehamilan remaja dengan komplikasi berhubungan signifikan dengan kematian anak, dan risiko paling tinggi terhadap kematian neonatus.
Analisis Sebaran Tenaga Kesehatan Puskesmas di Indonesia berdasarkan Peraturan Menteri Kesehatan Nomor 75 Tahun 2014 tentang Puskesmas Yuni Sari Romadhona; Kemal N. Siregar
Jurnal Kesehatan Manarang Vol 4 No 2 (2018): Desember 2018
Publisher : Politeknik Kesehatan Kemenkes Mamuju

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (418.222 KB) | DOI: 10.33490/jkm.v4i2.99

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The persistent problem faced by Indonesia is in adequate in number and maldistribution of health workers in Primary Health Centre (PHC) has resulted in disrupted health services to the community. The aims of this study is describe health workers in ratio PHC per 100,000 population and health workers distributionbyregions. This research is descriptive analytic. The data used are secondary data from the health workers in government health care facilities in the district/city and province in Indonesia collected by Sub Centre data and information of health ministry in June 2018 and analyzed using the chi-square. The fact that inadequate numbers and maldistributionare remaining problems of health workers in PHC. The ratio of physiciansis 10,17, midwifes 84,73, nurses 83, Public health services 11,09 and nutritionists 8,30 per 100,000 populations while Government standards are higher. Maldistributions of health workers in PHC occurred in central and east regions of Indonesia. The highest number of health workers at PHC in Indonesian is midwives and nurses, while the smallest workforce is dentists. As in adequate numbers and maldistribution are the remaining problems of health workers in PHC, the recruitment of health workers should fulfil the community needs, geographic and avalaibility of health services. Providing the government scholarship to the locals in health schools with commitment to work for local government after graduation is one of the solution for this problem. E-health service is another solution, health service consultation can be carried out effectively and efficiently with remote health experts by taking the advantage of the internet.
ANALISIS SENTIMEN PADA TWITTER TERHADAP PENGGUNAAN ANTIBIOTIK DI INDONESIA DENGAN NAIVE BAYES CLASSIFIER Oke Dwiraswati; Kemal Nazaruddin Siregar
Media Informasi Vol 15, No 1 (2019): Media Informasi
Publisher : Poltekkes Kemenkes Tasikmalaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (730.74 KB) | DOI: 10.37160/bmi.v15i1.232

Abstract

 Saat ini, masih ditemukan perilaku yang salah dalam penggunaan antibiotik sehingga menjadi risiko terjadinya resistensi. WHO mencatat angka kematian akibat resistensi antibiotik sampai tahun 2014 sekitar 700.000 orang/tahun dan pada 2050 diperkirakan 10 juta jiwa/tahun. Hal ini terjadi karena kurangnya pengetahuan masyarakat tentang penggunaan antibiotik yang tepat.  Untuk mengetahui opini masyarakat tentang penggunaan antibiotik dengan cepat dapat dilakukan analisis sentimen dari media sosial. Melalui media sosial salah satunya Twitter, masyarakat memberikan beragam opini, sehingga dapat dibuat analisis sentimen terhadap penggunaan antibiotik di Indonesia yang diklasifikasikan menjadi 2 kelas yaitu positif dan negatif. Tujuan penelitian ini merancang sistem untuk analisis sentimen terhadap penggunaan antibiotik dari Twitter menggunakan metode pengklasifikasian berbasis machine learning, yaitu Naive Bayes Classifier. Dilakukan serangkaian tahapan yaitu pengumpulan data dari Twitter, preprocessing, proses klasifikasi dengan algoritma Naive Bayes Classifier, dan evaluasi performa. Dari hasil uji dengan 10-fold cross validation diperoleh nilai rata-rata akurasi 84% dengan rincian precission 88%, recall 81% dan f-measure 84%  dengan jumlah 200 tweet (100 negatif,100 positif) dibagi ke dalam data latih:data uji = 9:1. Disimpulkan bahwa metode Naive Bayes Classifier dapat diterapkan untuk melakukan analisis sentimen terhadap penggunaan antibiotik di Indonesia. Hasil analisis digunakan sebagai pertimbangan dalam menentukan strategi kampanye penggunaan antibiotik yang tepat.
Co-Authors Abdul Chairy, Abdul Abdurrahman, Eka Santy Adrian, Verry Aenaya Delavera Agustin Kusumayati Amanda Widlanisia Amelia, Dwirani Anggi Anitia Antarsih, Novita Rina Aria Kekalih Artha Prabawa Asri C. Adisasmita Atmiroseva, Atmiroseva Ayoub, Harun Yussuf Bagus, Nurzahara Bahar, Ryza Jazid Besral . Budi Utomo Cahyati, Ai Caroline Endah Wuryaningsih, Caroline Endah Delavera, Aenaya Delmaifanis Detty Siti Nurdiati Dewi Nirmala Sari Dian Kistiani Irawaty Diana Diana Diny Nahrudiani Dodi Angga Kusuma Dumilah Ayuningtyas Dwiraswati, Oke Elfiyani, Nur Khotimah Elly Nurachmah Enny Yuliana Falupi, Lilik Aryani Fatmawati, Lady Farah Firjatullah, Clarissa T Hadi Pratomo Hamidah Indrihapsari Hanafi, Nurrachda Hanifah, Laily Hanny Nilasari Hardya Gustada Hikmahrachim Hartono Gunardi Hasnia Jondu Haswinzky, Rose Amalia Helmi Safitri Hikmahrachim, Hardya Gustada Ilyas, Arief Azhari Indra Supradewi Indriany, Finna Intan Rachmita Sari Intan Rachmita Sari Irawaty, Dian Kristiani Jondu, Hasnia Kalamullah Ramli Kayika, I Putu Gede Kurniawan, Kristian Kusuma, Dodi Angga Laily Hanifah Lamria Pangaribuan Lesmana, Elvira Martya Rahmaniati Masfuri - Milla Herdayati, Milla Misana, Fatima Nur Muhammad Sapoan Hadi Nasir, Narila Mutia Ni Komang Novi Suryani Ning Sulistiyowati Nopianto Ricaesar Novianti Novianti Nurillah Amaliah Nurizin, Dion Zein Nurrahma Fitria Ramadhani Nurul Fadhilah Nurul Fadhilah Nurul Fadhilah Oke Dwiraswati Okky Assetya Pratiwi Oon Fatonah Akbarini Pamadi, Nayaka Nayottama Pohan, Tiur Febrina Popy Yuniar Popy Yuniar Purwowiyoto, Budhi Setianto Rahmadewi Rahmadewi Ramadhani, Nurrahma Fitria Retnowati Retnowati Retnowati Retnowati Ricaesar, Nopianto Rikawarastuti Rikawarastuti Rikawarastuti Ruddy J Suhatril Ryza Jazid Sabarinah Prasetyo Sabarinah Sabarinah, Sabarinah Safitri, Helmi Saini, Izzatul Mardiah Sam Tito, Julius Shifa, Naili Silvia Sagita Siregar, Rohana Uly Pradita Siti Aisah SITI AISAH Siti Aisah Siti Jumhati Solly Aryza Srimayarti, Berly Nisa Suparmi Suparmi Supriyanti Supriyanti Sutanto Priyo Hastono Sutedja, Indrajani Suwandono, MPH, DR. PH, Dr. Agus Tambunan, Regina Tiasari, Anisa Tin Afifah Tiopan Sipahutar Titis Risti Yulianti Titis Risti Yulianti Tris Eryando Verry Adrian Violila, Vallery Wardhani, Dara A Widlanisia, Amanda Wresti Indriatmi B. Makes Yuliana, Enny Yulianti, Titis Risti Yuni Sari Romadhona