Garuda - Garba Rujukan Digital

Pelaksanaan Pelayanan Komplementer pada Masa Nifas di Praktik Mandiri Bidan Kabupaten Pringsewu Putri, Nopi Anggista; Komalasari, Komalasari; Fauziah, Nur Alfi; Fitriana, Fitriana; Isnaini, Maulia; Sulistiawati, Yuni
Jurnal Aisyah : Jurnal Ilmu Kesehatan Vol 6 (2021): Special Issue GINC
Publisher : Universitas Aisyah Pringsewu

The postpartum period is a transitional period where many changes occur, both physically and mentally, which are different for each woman. Efforts to deal with complaints such as perineal injuries, breast problems and even postpatum depression at this time by utilizing complementary therapies using the use of herbs, massage and aromatherapy. Midwives provide complementary services to address these complaints because women tend to believe more in complementary therapies because they feel more natural and safer. This study used a descriptive type of research conducted at the Pringsewu District Midwife's Independent Practice in December 2020 - January 2021. The sample in this study was probably 21 midwives using accidental sampling technique. Data analysis using univariate analysis. The results of the research obtained from people 36 - 45 years of age were 47.6%, with a third diploma education of 52.4%, 42.9% from 11 - 20 years of age and participation in complementary service training partly said that they had attended training a number of trainings 52.4%. As many as 19 (90.5%) midwives have provided complementary services to patients, namely the types of complementary services provided are massage as much as 15 (71.4%), as well as the implementation of complementary services to assist patients in accelerating milk production during the puerperium as many as 18 (85.7%).Masa nifas merupakan masa transisi dimana banyak terjadi perubahan baik fisik maupun mental yang berbeda pada setiap wanita. Upaya untuk mengatasi keluhan seperti luka perineum, masalah payudara bahkan depresi postpatum pada saat ini dengan memanfaatkan terapi komplementer yaitu penggunaan herbal, pemijatan dan aromaterapi.Bidan melakukan pelayanan komplementer untuk mengatasi keluhan tersebut dikarenakan para wanita cenderung lebih percaya pada terapi komplementer karena dirasakan lebih alami dan aman. Jenis penelitian deskriptif, dilakukan di Praktik Mandiri Bidan wilayah Kabupaten Pringsewu pada bulan Desember 2020 - Januari 2021.Sampel dalam penelitian ini berjumlah 21 bidan dengan teknik accidental sampling. Analisis data yang digunakan adalah analisis univariat.Hasil penelitian ini didapatkan mayoritas Bidan berusia 36 - 45 tahun sejumlah 47,6%, berpendidikan Diploma tiga sejumlah 52,4%, lamanya praktik 11–20 tahun sejumlah 42,9% dan keikutsertaan dalam pelatihan pelayanan komplementer sebagian bersar mengatakan pernah mengikuti pelatihan sejumlah 52,4%. Sebanyak 19 (90,5%) bidan sudah memberikan pelayanan komplementer kepada pasien, yakni jenis pelayanan komplementer yang diberikan adalah pijat sebanyak 15 (71,4%), serta penerapan pelayanan komplementer untuk membantu pasien dalam memperlancar produksi ASI pada masa nifas sebanyak 18 (85.7%).

Pregnancy Class Model for High-Risk Pregnant Women (RESTIKOL) Sudarmi Sudarmi; Bertalina Bertalina; Fitriana Fitriana; Dewi Yunarti; Monica Dara Delia Suja
Jurnal Aisyah : Jurnal Ilmu Kesehatan Vol 7, No 4: December 2022
Publisher : Universitas Aisyah Pringsewu

The main causes of maternal death in Indonesia are bleeding and hypertension during pregnancy. Maternal mortality can be prevented by strengthening health services and increasing the knowledge of pregnant women about their pregnancy. To make the class of pregnant women effective, a strategy is needed to develop a class model for pregnant women that is intended for pregnant women who are at high risk, which is called RESTIKOL. The purpose of this study is to obtain a class model that focuses on high-risk pregnant women. This type of research is Research and development (RnD) developed by Borg and Gall. Data collection techniques are interviews, study documentation, and FGDs. The model trial was conducted on 100 pregnant women 20-32 weeks in five classes of pregnant women in the South Lampung district. Qualitative data analysis with data validation, classification and triangulation, and quantitative data using analytical descriptive. The results of this study are RESTIKOL class development model for pregnant women, planning for implementing teams consisting of several health professions, in the implementation: screening of pregnant women, the material provided in the form of audio-visual media, cross-sectoral collaboration and programs, and monitoring and mentoring for pregnant women at risk. The step-by-step procedure model for pregnant women for high-risk pregnant women RESTIKOL is ready to be used and feasible to be implemented in our health system. Recommendations for further research on pregnant women are implemented by application/online. Abstrak: Penyebab utama kematian ibu di Indonesia oleh karena perdarahan dan hypertensi dalam kehamilan. Kematian ibu dapat di cegah dengan penguatan pelayanan kesehatan dan meningkatkan pengetahuan ibu hamil tentang kehamilannya. Untuk mengefektifkan kelas ibu hamil agar hasil yang didapat bisa mencapai optimal diperlukan strategi dengan mengembangkan model kelas ibu hamil yang diperutukan bagi ibu hamil yang beresiko Tinggi yang di beri nama kelas ibu hamil RESTIKOL. Tujuan penelitian mendapatkan model kelas ibu hamil yang di fokuskan bagi ibu hamil yang beresiko tinggi. Jenis penelitian Reseach and depelovment (RnD) yang di kembangkan oleh Borg dan Gall. Teknik pengumpulan data dengan: wawancara, study dokumentasi, dan FGD. Uji coba model dilakukan pada 100 ibu hamil usia kehamilan 20-32 minggu di lima kelas ibu hamil wilayah kabupaten lampung selatan. Analisis data kualitatif dengan validasi data, klasifikasi dan triangulasi dan data kuantitatif menggunakan deskriptif analitik. Hasil model pengembangan Kelas ibu hamil RESTIKOL, perencanaan tim pelaksana terdiri dari beberapa profesi Kesehatan, pada pelaksanaan: dilakukan skrining ibu hamil, materi diberikan dalam bentuk media Audio-visual adanya kerjasama lintas sectoral dan program, serta dilakukan pemantaua da pendampingan pada ibu hamil yang beresiko. Kesimpulan Model prosedur langkah pelaksanaan kelas ibu hamil untuk ibu hamil beresiko tinggi RESTIKOL siap dimanfaatkan/layak untuk di laksanakan di lapangan. Rekomendasi untuk dilakukan penelitian lanjutan kelas ibu hamil di laksanakan secara aplikasi/online.

Application of Lung Diseases Detection based on CSLNet Panji Bintoro; Zulkifli Zulkifli; Fitriana Fitriana; Sukarni Sukarni; Abdullah Abdullah
Jurnal Nasional Pendidikan Teknik Informatika : JANAPATI Vol. 12 No. 3 (2023)
Publisher : Prodi Pendidikan Teknik Informatika Universitas Pendidikan Ganesha

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23887/janapati.v12i3.68815

Lung diseases caused by fungal or bacterial infections can lead to inflammation in lung and even death when not detected early. A standard method for diagnosing lung diseases is the use of chest X-ray, which require careful examination of X-ray images by a radiology expert. Therefore, this study proposes several new architecture models, namely CSLNet, to classify chest X-ray images for diagnosing whether patients suffer from COVID-19, viral pneumonia, bacterial pneumonia, tuberculosis, and normal. The experimental results show that the model has an 0.99 average Accuracy, 0.98 Precision, 0.98 Recall, and 0.98 f1-score. Meanwhile, the Receiver Operating Characteristic (ROC) for bacterial pneumonia, COVID-19, normal, tuberculosis, and viral pneumonia are 0.97, 0.99, 0.99, 0.94, and 0.97 respectively. This study is based on a deep learning with a new model, CSLNet, which can work well on the dataset of chest X-ray images used for diagnosing lung diseases.

PENGARUH PEMBERIAN BUAH NAGA TERHADAP KENAIKAN HB IBU HAMIL TM III DI PMB TUTI WULANDARI, S.Tr. Keb. NATAR LAMPUNG SELATAN Anggista Putri, Nopi; Yuliani, Yuliani; Yani Veronica, Septika; Tri Utami, Iis; Isnaini, Maulia; fitriana, fitriana
Jurnal Maternitas Aisyah (JAMAN AISYAH) Vol. 5 No. 1 (2024): Jurnal Maternitas Aisyah (JAMAN AISYAH)
Publisher : Universitas Aisyah Pringsewu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30604/jaman.v5i1.1538

Anemia merupakan masalah kesehatan masyarakat secara global dan kondisi ini menyumbang angka morbiditas serta mortalitas pada wanita. Ibu hamil yang mengalami anemia dapat menyebabkan perdarahan, premature, BBLR dan KEK. Pencegahan dan penanggulangan anemia dapat dilakukan secara nonfarmakologi dengan mengkonsumsi buah naga. Tujuan penelitian ini adalah Mengetahui pengaruh pemberian Buah Naga Terhadap Kenaikan Hb Ibu Hamil TM III. Metode penelitian ini menggunakan rancangan preeksperimental dengan pendekatan one group pre-post test design. Teknik pengambilan sampel menggunakan purposive sampling dengan jumlah sampel 22 ibu hamil yang mengalami anemia. Analisa penelitian ini dilakukan di PMB Tuti Wulandari, S.Tr. Keb. Natar, Lampung Selatan pada bulan Oktober tahun 2023. Instrument penelitian menggunakan lembar observasi. Data menggunakan uji Wilcoxon. Hasil penelitian ini rata-rata kadar Hb sebelum diberikan intervensi adalah 10,10 gr/dL ,setelah diberikan intervensi adalah 10,87 dengan nilai p-value adalah 0.000 (<0.05) sehingga dapat disimpulkan bahwa terdapat pengaruh pemberian buah naga terhadap kadar Hb pada ibu hamil TM III yang mengalami anemia ringan. Kesimpulan dalam penelitian ini pencegahan dan pengobatan anemia pada ibu hamil dapat dilakukan dengan cara mengkonsumsi buah naga. Saran pada penelitian ini petugas kesehatan lebih efektif lagi dalam meberikan penyuluhan kepada ibu hamil, khususnya pencegahan dan pengobatan anemia dengan mengkonsumsi buah naga.

Deep convolutional neural network for Lampung character recognition Bintoro, Panji; Zulkifli, Zulkifli; Fitriana, Fitriana; Sukarni, Sukarni
Bulletin of Electrical Engineering and Informatics Vol 13, No 4: August 2024
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/eei.v13i4.6734

Recognition of document based, and handwritten characters has recently emerged as highly relevant field of study in the field of digital image processing. The ability to read and write Lampung script is a crucial competency as it helps preserve the language, which is a part of Indonesian culture. This research utilizes data obtained from classified documents and handwritten samples, categorized into eight types. To recognize Lampung characters, deep convolutional neural network (DCNN) architecture is proposed. The novelty of this architecture lies in optimizing document-based and handwritten character recognition to achieve the best performance in terms of accuracy and execution time. The proposed architecture will be compared to principal component analysis (PCA) combined with support vector machine (SVM) to evaluate its results. Experimental results using the DCNN architecture show an average accuracy of 99.3% and an execution time of 283 seconds for all data, while PCA and SVM exhibit an average accuracy of 92.9%. Furthermore, the recognition results for all data from documents and handwritten samples yield satisfactory accuracy of 98.6%. These results make the DCNN architecture suitable for use in recognizing Lampung characters and are expected to make it easier for Lampung people to recognize Lampung character.

Deep convolutional neural network for Lampung character recognition Bintoro, Panji; Zulkifli, Zulkifli; Fitriana, Fitriana; Sukarni, Sukarni
Bulletin of Electrical Engineering and Informatics Vol 13, No 4: August 2024
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/eei.v13i4.6734

Recognition of document based, and handwritten characters has recently emerged as highly relevant field of study in the field of digital image processing. The ability to read and write Lampung script is a crucial competency as it helps preserve the language, which is a part of Indonesian culture. This research utilizes data obtained from classified documents and handwritten samples, categorized into eight types. To recognize Lampung characters, deep convolutional neural network (DCNN) architecture is proposed. The novelty of this architecture lies in optimizing document-based and handwritten character recognition to achieve the best performance in terms of accuracy and execution time. The proposed architecture will be compared to principal component analysis (PCA) combined with support vector machine (SVM) to evaluate its results. Experimental results using the DCNN architecture show an average accuracy of 99.3% and an execution time of 283 seconds for all data, while PCA and SVM exhibit an average accuracy of 92.9%. Furthermore, the recognition results for all data from documents and handwritten samples yield satisfactory accuracy of 98.6%. These results make the DCNN architecture suitable for use in recognizing Lampung characters and are expected to make it easier for Lampung people to recognize Lampung character.

Expert System for Diagnosis of Lung Disease from X-Ray Using CNN and SVM Zulkifli, Zulkifli; Soeprihatini, Retno Ariza; Sfenrianto, Sfenrianto; Wiyanti, Zulvi; Bintoro, Panji; Fitriana, Fitriana; Sukarni, Sukarni; Putri, Nopi Anggista; Andini, Dwi Yana Ayu
International Journal of Artificial Intelligence Research Vol 7, No 2 (2023): December 2023
Publisher : Universitas Dharma Wacana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29099/ijair.v7i1.870

The lung disease diagnosis expert system utilizes human knowledge to diagnose various conditions affecting the lung. Diseases caused by fungal or bacterial infection in the organ can cause inflammation as well as death when it is not detected on time. A standard method to diagnose these conditions is the use of a chest X-ray (CXR), which requires careful examination of the image by an expert. In this study, several CNN and SVM architectural models were proposed to classify CXR images to diagnose whether a person has COVID-19, Viral Pneumonia, Bacterial Pneumonia, Tuberculosis (TB), and Normal. The experiment showed that InceptionV3 had the best results compared to other CNN architectures and SVM. Classification accuracy, precision, recall, and f1-score of CXR images for COVID-19, Viral Pneumonia, Bacterial Pneumonia, TB, and Normal were 0.86, 0.91, 0.91, and 0.91, respectively. This study was based on a deep learning system with different CNN and SVM architectures that can work well on the CXR images dataset for diagnosing lung disease.

PENYULUHAN HIPERTENSI PADA LANSIA DI PUSKESMAS GADINGREJO: PENYULUHAN HIPERTENSI PADA LANSIA DI PUSKESMAS GADINGREJO Agustina, Rika; Anggriani, Yunita; Komalasari, Komalasari; Isnaini, Maulia; Umar, Mareza; Kusuma Wardani, Psiari; Anggista Putri, Nopi; Fitriana, Fitriana; Desri Ayu, Juwita
Jurnal Pengabdian Kepada Masyarakat Ungu( ABDI KE UNGU) Vol. 6 No. 3 (2024): Jurnal Pengabdian Kepada Masyarakat Ungu ( ABDI KE UNGU)
Publisher : Lembaga Penelitian dan Pengabdian Masyarakat Universitas Aisyah Pringsewu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30604/abdi.v6i3.1796

Usia lanjut (lansia) adalah orang yang telah mencapai usia 60 tahun keatas yang mempunyai hak yang sama dalam kehidupan bermasyarakat, berbangsa, dan bernegara. Indonesia akan mengalami peningkatan jumlah warga lanjut usia sebesar 41,4% yang merupakan suatu peningkatan tertinggi di dunia. Salah satu upaya pemerintah dan penyelanggaraan upaya kesehatan antara lain adalah dengan mengadakan posyandu lansia. Tim pengabdian menawarkan beberapa solusi terkait kesehatan lansia di Kecematan gading rejo mengenai kualitas hidup pada lansia dan cara-cara yang dapat dilakukan agar masyarakat dapat hidup di usia senja dan berkualitas. Lansia melalui aktivitas mulai dari penyuluhan sampai dengan dilaksanakanya aktivitas bagi lansia di kecamatan gading rejo, peningkatan pengetahuan dilakukan melalui Metode pemberian pengetahuan (ceramah dan diskusi) penyegaran tentang pemberdayaan lansia, evaluasi kegiatan dilakukan dengan melalui penyuluhan. Pada tahap awal didapati lansia mendengarkan dan memahami materi hipertensi dan komplementer yang dapat membantu menurukan tekanan darah. Dari hasil kegiatan pengabdian masyarakat dapat diambil kesimpulan bahwa kegiatan pengabdian kepada masyarakat ini dapat meningkatkan pengetahuan lansia pada kesehatan pro lansia

A Literature Review on the Interactions Between Climate Change and Tuberculosis: Impacts on Epidemiology, Transmission, and Control Tan, Suriyani; Suyanto, Jipri; Panjaitan, Novaria Sari Dewi; Hidayat, Syarif; Fitriana, Fitriana; Sunarno, Sunarno; Lienggonegoro, Lisa Andriani
Jurnal Aisyah : Jurnal Ilmu Kesehatan Vol 9, No 2 (2024): September
Publisher : Universitas Aisyah Pringsewu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30604/jika.v9i2.2848

Climate change is increasingly recognized as a contributor to public health challenges, including the spread of infectious diseases such as tuberculosis (TB). Environmental changes, such as rising temperatures, altered precipitation patterns, and extreme weather events, can directly and indirectly influence TB transmission dynamics. Additionally, climate change exacerbates socio-economic issues like poverty, food insecurity, and displacement, further increasing vulnerability to TB. Understanding the complex relationship between climate change and TB is crucial for developing effective prevention and control strategies. This literature review explores the relationship between climate change and TB, focusing on the impact of climatic factors on TB epidemiology, transmission, and control measures. A systematic evaluation of peer-reviewed studies was conducted using databases such as Science Direct, PubMed, DOAJ, and Google Scholar. Research on climatic factors (e.g., temperature, humidity, extreme weather events) and their effects on TB transmission, as well as the socio-economic consequences of climate change, was analyzed. The PICOS framework and PRISMA guidelines were applied to ensure a comprehensive review. The findings reveal that elevated temperatures and humidity can enhance the survival and spread of Mycobacterium tuberculosis, potentially increasing TB transmission rates. Extreme weather events, such as floods and droughts, disrupt healthcare services and create overcrowded living conditions, fostering TB outbreaks. Socio-economic factors, including poverty, starvation, and migration, further heighten TB risks. Climate change-induced disruptions to health infrastructure, particularly in low- and middle-income countries, hinder TB diagnosis, treatment, and control efforts. However, there is a lack of long-term studies assessing the cumulative effects of climate change on TB. This review highlights the urgent need for interdisciplinary approaches to address the dual challenges of climate change and TB. Effective TB control programs must integrate climate adaptation and resilience strategies. Policymakers should prioritize climate-informed TB initiatives, enhance monitoring systems, and support further research to address gaps in understanding the long-term impacts of climate change on TB.

Edukasi Gizi Untuk Meningkatkan Kualitas Hidup Balita Stunting di Desa Pandan Sura Kecamatan Sukoharjo Putri, Nopi Anggista; Fitriana; Sheilla, Putri; Wulandari, Septi; Putriani, Olif Delfia; Rahmawati, Nira; Anggraeni, Egi; Nisrina, Zalfaa; Salwa, Akhla; Hardiana, Erni; Marshanda, Novi
Kolaborasi: Jurnal Pengabdian Masyarakat Vol 5 No 4 (2025): Kolaborasi: Jurnal Pengabdian Masyarakat
Publisher : Yayasan Inspirasi El Burhani

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56359/kolaborasi.v5i4.597

Introduction: Based on data from the Indonesian Nutritional Status Survey (SSGI) conducted by the Indonesian Ministry of Health (2022), the prevalence of stunting in Indonesia in 2022 was 21.6%. Stunting is caused by long-term and short-term factors that influence a person's nutritional status, indicating that certain healthy behaviors can influence food consumption and nutrient intake. Objective: The educational activities in this study aim to increase public understanding of nutritional eating patterns to prevent stunting. Method: This study used a descriptive method, a research technique that aims to present the characteristics of a population or phenomenon methodically and factually. The knowledge of mothers of stunted toddlers was investigated. The target of community service for this population focused on mothers experiencing stunting. Results: Based on the results of the pre-test and nutritional evaluation, the average knowledge score increased from 61% to 96.5%. After nutrition education through reading and leaflet distribution, the knowledge of all participants increased. Post-test results showed that all students were in the appropriate category, meaning they understood the material very well and were in the appropriate category with a minimum score of 76%. In short, this study shows the effectiveness of leaflet-based and interactive learning methods in improving nutritional knowledge of mothers of toddlers.

Title

Found 21 Documents
Search

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Title Search

Found 21 Documents Search

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Title

Found 21 Documents
Search