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All Journal Media Kesehatan Masyarakat Indonesia Jurnal Kesehatan Lingkungan indonesia Jurnal Kesehatan Masyarakat Jurnal Kesehatan Masyarakat MEDISAINS Jurnal Imejing Diagnostik Jurnal Kesehatan Gigi Jurnal Ilmu Keperawatan dan Kebidanan Jurnal Kesehatan Komunitas Window of Health : Jurnal Kesehatan EMBRIO : Jurnal Kebidanan Journal of Maternal and Child Health Proceedings of the International Conference on Applied Science and Health Global Health Management Journal International Journal of Nursing and Health Services (IJNHS) Gorontalo Journal of Public Health Care : Jurnal Ilmiah Ilmu Kesehatan Jurnal Ilmiah Kesehatan Ar-Rum Salatiga Journal of Applied Health Management and Technology Jurnal Ilmiah Permas: Jurnal Ilmiah STIKES Kendal Medica Arteriana (Med-Art) Dharma Raflesia : Jurnal Ilmiah Pengembangan dan Penerapan IPTEKS Indonesian Journal of Global Health research Devotion: Journal of Research and Community Service International Journal of Social Service and Research Journal Research of Social Science, Economics, and Management Eduvest - Journal of Universal Studies Media Penelitian dan Pengembangan Kesehatan
Ari Suwondo
Nursing Department, Polytechnic Health Ministry of Semarang
Aerospace Engineering Agriculture, Biological Sciences & Forestry Humanities Biochemistry, Genetics & Molecular Biology Computer Science & IT Decision Sciences, Operations Research & Management Dentistry Economics, Econometrics & Finance Education Environmental Science Health Professions Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Medicine & Pharmacology Neuroscience Nursing Public Health Social Sciences Veterinary Other

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PENGARUH EKSTRAK DAUN PEPAYA (CARICA PAPAYA L.) TERHADAP KADAR HEMOGLOBIN DAN HEMATOKRIT PADA REMAJA PUTRI ANEMIA Faridah, Salsabila Nur; Rahayu, Sri; Suwondo, Ari
Media Penelitian dan Pengembangan Kesehatan Vol. 35 No. 2 (2025): MEDIA PENELITIAN DAN PENGEMBANGAN KESEHATAN
Publisher : Poltekkes Kemenkes Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34011/jmp2k.v35i2.2971

Abstract

Adolescent girls often experience anemia, a condition in which red blood cell count or hemoglobin concentration falls below normal levels, especially during puberty. Globally, anemia affects 40% of children aged 6–59 months, 37% of pregnant women, and 30% of women aged 15–49 years. California papaya leaves (Carica papaya L.) are a nutritious vegetable that may help accelerate anemia reduction efforts. This study aimed to prove that administering papaya leaf extract at a dose of 800 mg/day affects hemoglobin and hematocrit levels in anemic adolescent girls. This true experimental study used a randomized pretest-posttest control group design. Conducted from December 1–20, 2024, at Junior High School 2 Balong, Ponorogo, Indonesia, it involved 46 anemic adolescent respondents who met the inclusion and exclusion criteria. They were divided into two groups: 23 participants in the intervention group, who received 800 mg of papaya leaf extract along with 60 mg of iron tablets, and 23 in the control group, who received only 60 mg of iron tablets for 14 days. Data processing was conducted using SPSS version 27, with statistical analysis performed using the parametric dependent T-Test and independent T-Test. The results showed that the intervention group experienced an average increase in hemoglobin levels of 0.444 g/dL and hematocrit levels of 0.39. In conclusion, administering 800 mg of papaya leaf extract significantly affects hemoglobin and hematocrit levels in anemic adolescent girls, supporting efforts to reduce anemia prevalence.
THE INFLUENCE OF SLB TEACHERS TRAINING TO IMPROVING TOOTH BRUSHING SKILL FOR BLIND CHILDREN Hanif, Fastabiqul; Sunarjo, Lanny; Santoso, Bedjo; Djamil, Masrifan; Suwondo, Ari
Journal of Applied Health Management and Technology Vol. 2 No. 3 (2020): Juli 2020
Publisher : Postgraduate Program , Poltekkes Kemenkes Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31983/jahmt.v2i3.5908

Abstract

ABSTRACTChildren with visual impairments increase dental and oral health problems higher than normal children, a debate that concerns blind children, namely the difficulty to carry out independent activities in maintaining oral health. One of the behavioral change strategies for blind children through dental and oral health education by teachers uses learning media that is appropriate to the characteristics of blind children. This study provides SLB teacher training to improve the ability to brush the teeth of blind children: Research and development (R & D) includes five studies, namely: gathering information, design models, expert validation, and trial models. Samples are 15 blind children. Sampling using the proposive sampling. Data citing using intraclass correlation coefficient, paired and independent sample tests. The results showed that SLB teacher training was effective in increasing the ability to brush the teeth of a blind child.Keyword : Training, SLB Teachers, Tooth Brushing Skills, Children with Visual Impairments ABSTRAKAnak tunanetra mengalami tingkat masalah kesehatan gigi dan mulut lebih tinggi dibandingkan dengan anak normal, permasalahan yang dialami anak tunanetra, yaitu kesulitan untuk melakukan aktivitas mandiri dalam perilaku pemeliharaan kesehatan gigi dan mulut. Salah satu strategi perubahan perilaku untuk anak tunanetra melalui pendidikan kesehatan gigi dan mulut oleh guru menggunakan media pembelajaraan yang sesuai dengan karakteristik anak tunanetra.  Penelitian ini bertujuan melakukan pelatihan guru SLB untuk meningkatkan keterampilan menggosok gigi anak tunanetra.: Research and development (R&D) terdapat lima tahap penelitian yaitu: pengumpulan informasi, rancang bangun model, validasi ahli, dan uji coba model.sampel yaitu 15 anak tunanetra. Pengambilan sample menggunakan teknik proposive sampling. Data diuji menggunakan intraclass corellation coeffiecient, paired sample test. Hasil menunjukan pelatihan guru SLB efektif meningkatkan keterampilan menggosok gigi anak tunanetra.Kata kunci: Pelatihan, Guru SLB, Keterampilan Menggosok gigi, Anak Tunanetra 
MAGIC PAPER MODELS SEBAGAI UPAYA MENINGKATKAN NILAI PTI PADA ANAK SEKOLAH DASAR Putri, Rifa Fauziah Syaifia; Rasipin, Rasipin; Wiyatini, Tri; Suwondo, Ari; Hadisaputro, Haryo
Journal of Applied Health Management and Technology Vol. 3 No. 1 (2021): January 2021
Publisher : Postgraduate Program , Poltekkes Kemenkes Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31983/jahmt.v1i1.6204

Abstract

AbstrakLatar Belakang: Pencegahan penyakit gigi dan mulut telah banyak dilakukan dengan upaya promotif preventif dan kuratif, namun upaya tersebut belum berhasil meningkatkan nilai performance treatment index. Hal ini dilihat dari prosentase karies anak berusia 9-11 tahun sebesar 44%, dengan nilai performance treatment index anak sebesar 4-5%. Anak sekolah dasar membutuhkan media yang dapat membantu dalam memahami, menjaga dan mencegah penyakit gigi dan mulut. Media tersebut diciptakan dalam bentuk yang menarik sehingga anak mampu belajar sambil bermain.Tujuan Penelitian: Menghasilkan magic paper models yang diciptakan dengan rancang bangun relevan/layak sebagai media promosi kesehatan untuk anak dan penerapannya dapat meningkatkan perilaku kesehatan gigi anak sekolah dasar lebih baik.Metode Penelitian: Metode penelitian yang digunakan adalah Research and Development (R&D) dan uji model menggunakan desain quasy experiment (pre and post-test with control group design). Variabel pada penelitian ini yaitu : Nilai performance treatment index. Subjek penelitian terbagi menjadi 2 kelompok yaitu: kelompok intervensi 25 anak dengan media magic paper models dan kontrol 25 anak dengan media buku cerita bergambar. Data diuji dengan menggunakan uji beda berpasangan,tidak berpasangan, uji proporsi dan uji regresi.Hasil: Magic paper models relevan/layak sebagai media promosi kesehatan untuk anak sekolah dasar penerapannya selama 21 hari efektif meningkatkan nilai performance treatment index (p= -0,013).Kesimpulan: Media magic paper models yang diciptakan dengan rancang bangun relevan/layak sebagai media promosi kesehatan untuk anak dan penerapannya dapat meningkatkan nilai performance treatment index anak sekolah dasar lebih baik..KeywordMagic Paper Models, nilai performance treatment index.
Effectiveness of Acupressure KI3, SP 6, ST 36, ST 25 Against Weight Gain and Height in Stunting Toddlers 0-24 Months Centis, Maria Conchita Leyla; Kusmiyati, Yuni; Suwondo, Ari; Herawati, Lucky; Hendriyani, Heni
EMBRIO: Jurnal Kebidanan Vol 17 No 2 (2025): EMBRIO: Jurnal Kebidanan
Publisher : Program Studi S1 Kebidanan - Fakultas Ilmu Kesehatan Universitas PGRI Adi Buana Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36456/embrio.v17i2.10299

Abstract

Stunting is a nutritional problem faced by the Indonesian state year after year. The impact of stunting is physical and intellectual. Various studies have been conducted to help overcome the problem of stunting, especially in height, weight, and motor development. One of these studies examined the effect of acupressure on changes in body weight and height in stunting children. This is a type of research: an Experimental design, a True experimental pre-posttest control-group design. The sampling technique used is simple random sampling, a sample of 30 children aged 0-2 years. The study found that the average body weight before acupressure was 9.6 kg, and after acupressure, it was 10.9 kg (p-value less than 0.05). The average height before the intervention was 73.6 cm, and after the intervention was 74.2 cm (p-value less than0.05). Acupressure affects weight gain and height.
Model Deteksi Parkinson Disease Berbasis Deep Learning Menggunakan Arsitektur VGG Lestari, Deva; Wibowo, Gatot Murti; Setiawan, Agung Nugroho; Suwondo, Ari; Susanto, Edy
Jurnal Imejing Diagnostik (JImeD) Vol. 12 No. 1 (2026): JANUARY 2026
Publisher : Poltekkes Kemenkes Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31983/jimed.v12i1.14284

Abstract

Background: Parkinsons Disease (PD) is a progressive neurodegenerative disorder characterized by the loss of dopaminergic neurons in the substantia nigra, resulting in motor and non-motor impairments. Early diagnosis remains challenging due to subtle initial symptoms and the relatively low accuracy of clinical assessment during early disease stages. Magnetic Resonance Imaging (MRI) provides high-resolution anatomical visualization and has the potential to detect early morphological changes. Advances in deep learning offer opportunities for automated PD detection through MRI analysis. This study aims to develop a PD detection model using the VGG architecture and evaluate its performance on MRI images. Methods: This study employed a Research and Development (R&D) approach to construct a deep learning–based PD detection model. The dataset consisted of 2,000 brain MRI images (1,000 PD and 1,000 healthy controls) obtained from the open-source Kaggle platform. Preprocessing included image normalization and resizing to 256×256 pixels. The dataset was divided into 80% training data and 20% testing data. The model was developed using the VGG architecture and trained for 15 epochs with a batch size of 16. Model performance was evaluated using accuracy, precision, sensitivity, and specificity metrics. Results: The VGG model demonstrated excellent classification performance on the test dataset. Evaluation results showed an accuracy of 0.99, precision of 0.99, sensitivity of 0.98, and specificity of 0.99. The confusion matrix indicated that the model correctly classified 198 healthy control images and 196 PD images, with minimal misclassification. Visualization of MRI comparisons showed that the model was able to detect morphological changes in the substantia nigra, including loss of the normal curvature of the crus cerebri, as an early indicator of PD. Conclusions: The VGG-based PD detection model achieved very high performance in distinguishing PD from healthy controls using MRI images. These findings highlight the potential of deep learning as a tool for early PD detection. However, the use of Kaggle data as the primary dataset represents a limitation due to unverified acquisition standards and clinical quality. Therefore, further validation using multicenter clinical datasets is required to ensure the model’s generalizability to broader patient populations.
Co-Authors Agung Nugroho Setiawan Ahmaniyah, Ahmaniyah Anak Agung Gede Sugianthara Annisa, Rifka Apriyana Irjayanti Arwani Arwani Arwani Asmawati, Lilik Astuti, Rara Sri Endang Puji Baju Widjasena Bedjo Santoso Kadri Beniqna Maharani Besmaya Bina Kurniawan Budhi R, Kamilah Daniati, Nia Daniati Darmini Darmini Dessy Triana Desyandri Desyandri Deviana, Meli Dhanio, Yeyen Wulandari Diyah Fatmasari Djamil, Masrifan Dwi Cahyanti, Dwi edy susanto Ekawati Ekawati Endah Kumala Dewi Erlina Krisanti Fachry Abda El Rahman Faridah, Salsabila Nur Ferry Ardhiansyah Fitriyaningsih, Erna Indah Fiyola Ladyvia Freya Nazera Iskandar Gatot Murti Wibowo, Gatot Murti Gunasari, Lala Foresta Valentine Gurnita, Fauziah Winda Hadisaputro, Haryo Hamdan, Yusuf Lensa Hanif, Fastabiqul Haryono, Nathasia Elga Heni Hendriyani Hidajati, Kamilah Hidayah, Khoirotul Hiyana TD, Christin Husna, Dewi Asmaul Krisdiana Wijayanti Kurnianingsih Kurnianingsih, Kurnianingsih Laksana, Ni'matun Faizah Lestari, Deva Lucky Herawati M. Choiroel Anwar Maria Conchita Leyla Centis Martini Martini Mateus Sakundarno Adi, Mateus Sakundarno Melyana Nurul Widyawati Moh. Rivandi Dengo Muchlis Achsan Udji Sofro Mulya, Dimas Yuzril Nainggolan, Wiwiek Neni Susilaningsih Noor Pramono Nurharisah, Siti Nurjazuli Nurjazuli Pradesi, Regina Pranandya, Brian Ilham Pujiastuti, Rr. Sri Endang Putri, Rifa Fauziah Syaifia Rasipin Rasipin Runjati Sarwendah Dewi Astuti, Sarwendah Dewi Siswi Jayanti Siti Rizki Amalia Sofro, Muchlis AU SRI RAHAYU Sri Rahayu Sudirman Sudirman Sudiyono Sudiyono Suharyo Hadisaputro Supriyana Supriyana, Supriyana Suroto Suroto Suryati Kumorowulan Theresia Ristadeli Tri Utami, Annisa Rachmah Tri Wiyatini, Tri Ulfa Nurullita Wahyuningtyas, Miranda Gita Wahyuningtyas Walin Walin Waode Fitrah Sari Yuliani Setyaningsih Yuliatri, Risa Yulistina Yulistina Yuni Kusmiyati Yuniarti - Yunus, Fanny Thresia