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EFEK HIPNOSIS TEHADAP PERUBAHAN TEKANAN DARAH IBU HAMIL PREEKLAMPSIA Siti Khuzaiyah; Anies Anies; Sri Wahyuni
Siklus : Journal Research Midwifery Politeknik Tegal Vol 6, No 2 (2017)
Publisher : Pusat Penelitian dan Pengabdian Masyarakat Politeknik Harapan Bersama

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30591/siklus.v6i2.582

Abstract

Latar Belakang : Angka Kematian Ibu (AKI) di Indonesia masih tinggi. Salah satu penyebab AKI adalah Preeklampsia. Pada ibu preeklampsia terjadi peningkatan tekanan darah dan peningkatan kadar leukosit. Upaya penanganan preeklampsia saat ini masih bersifat medikamentosa, belum mengarah pada kompelemntary terapi seperti hipnosis. Hipnosis adalah suatu kondisi relaksasi dan komunikasi bawah sadar. Hipnosis telah terbukti bermanfaat secara psikologis maupun medis. Tujuan penelitian ini adalah untuk menganalisis pengaruh hipnosis terhadap perubahan tekanan darah ibu hamil preeklampsia di Wilayah Kerja Dinas Kesehatan Kabupaten Pekalongan.Metode: jenis penelitian ini adalah Quasi Experiment dengan desain penelitian pretest-posttest control group. Subjek penelitian ini yaitu 32 ibu hamil preeklampsia yang terbagi dalam 2 kelompok yaitu kelompok kontrol dan kelompok perlakuan perawatan kehamilan standar. Hipnosis dilakukan sebanyak 3x terapi.Hasil: ada perbedaan tekanan darah sebelum dan setelah hipnosis dengan p vlaue sistolik 0,025 dan p value diastolik 0,002. Ada perbedaan tekanan darah kelompok kontrol dan kelompok perlakuan setelah dilakukan hipnosis dengan p value sistolik 0,002 dan p value diastolik 0,013. Penurunan tekanan darah setelah hipnosis mencapai 20mmHg (sistole) dan 7,5mmHg (diastole).Simpulan: hipnosis berpengaruh terhadap penurunan tekanan darah pada ibu preeklampsiaKata kunci: tekanan darah, hipnosis. 
POLISI LALU LINTAS DI KOTA SEMARANG BERISIKO OBESITAS Herliani, Emy; Saleh, Muhammad; Adi, Sakundarno; Anies, Anies; Widjanarko, Bagoes; Hadisaputro, Suharyo; Purwanti, Sumy Hastry
Pena Medika Jurnal Kesehatan Vol 5, No 1 (2015): PENA MEDIKA JURNAL KESEHATAN
Publisher : Universitas Pekalongan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31941/pmjk.v5i1.350

Abstract

Obesity is a condition due to the imbalance of calories in the body. Obesity which appears in adolescence tend to continue into adulthood, and until the elder years. The purpose of this study is to determine the influence of obesity risk factors in traffic police.Methods : The design used case-control. The number of respondents were 90,  which  consist  of  45  cases  and  45 controls, which were selected using simple random sampling. Bivariate data analysis used chi-square and multivariate used logistic regression.Results : Two variables that were significantly associated are excessive calorie intake rate (OR = 10.95 and 95% CI = 3.22 to 37.16) and lack of physical activity (OR = 3.78 and 95% CI = 1.04 to 13 ,66). If respondents possess both of the factors, chances for obesity will equal to ( 88 % ).Conclusion : Risk factors are excessive calorie intake rate and lack of physical activity. It is expected to increase the role of leaders and institutions involved in the promotion of healthy living and obesity prevention through socialization. Keywords : Obesity, risk factors, excessive calorie intake rate, lack of physical activity
Online educational intervention: Improving maternal knowledge and attitudes in providing developmental stimulation for stunting toddlers Faridah, Faridah; Anies, Anies; Kartasurya, Martha I.; Widjanarko, Bagoes
Narra J Vol. 4 No. 1 (2024): April 2024
Publisher : Narra Sains Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52225/narra.v4i1.591

Abstract

Stunting remains a significant public health concern, impacting physical growth and impeding children's development. Mothers, who play a crucial role in stimulating children's development, often encounter barriers in providing effective stimulation, primarily due to limited access to appropriate resources and information. Online education can bridge this gap by offering easily accessible learning. This aim of this study was to determine the effect of online education on maternal knowledge and attitudes in providing developmental stimulation for stunting toddlers. A quasi-experimental research design was employed, comprising a treatment group and a control group, each consisting of 46 mothers with stunting toddlers, sampled purposively. The treatment group received an online developmental stimulation educational intervention through WhatsApp groups for twelve meetings, each lasting 1.5 to 2 hours. Meanwhile, the control group participated in a stunting assistance program provided by the community health centers (Puskesmas). To compare the knowledge and attitudes between groups, Mann-Whitney and independent Student t-test were used. The assessment of intervention effects on knowledge and attitudes was conducted using Wilcoxon and paired Student t-test within each group. Following the educational intervention on developmental stimulation, there was a significant increase in knowledge; however, there was no significant difference in attitudes. The treatment group (mean score 3.9±1.76) had a higher increase in knowledge scores compared to the control group (2.0±2.25) with a p<0.001. Nonetheless, no significant difference in attitudes was observed between the two groups with the mean change scores was 5.8±15.31 in treatment group and 2.5±18.69 for control group, with a p=0.335. This study suggests that providing online education leads to increased knowledge scores but does not impact attitudes significantly. Additional educational approaches should be considered to enhance maternal attitudes.
Factors related to HbA1c in the first trimester of pregnancy Sumarah, Sumarah; Anies, Anies; Rahfiludin, Mohammad Zen; Sulistiyani, Sulistiyani
International Journal of Public Health Science (IJPHS) Vol 12, No 4: December 2023
Publisher : Intelektual Pustaka Media Utama

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijphs.v12i4.23189

Abstract

The prevalence of gestational diabetes mellitus (GDM) in the world is 16.2% of live births associated with hyperglycemia in pregnancy, and 7.4% are caused by type 1 or 2 diabetes which is detected for the first-time during pregnancy. The prevalence of GDM in Indonesia reaches 3.6% and the highest rate is found in the Special Province of Yogyakarta (2.6%). One of the risk factors for GDM is excess nutrition which is influenced by daily intake. This study aims to determine the relationship between nutritional intake and body mass index (BMI) with HbA1c levels in first-trimester pregnant women. This study used a cross-sectional design. A simple random sampling with inclusion and exclusion criteria was employed, involving 47 pregnant women as subjects. Nutritional intake was measured with the semi-quantitative food frequency questionnaire (SQ-FFQ). The nutritional status of pregnant women is measured by BMI. HbA1c was measured by the turbidimetric inhibition immunoassay (TINIA) method. Analysis of research data using the Pearson product-moment correlation test and rank Spearman. The results of this study stated that there was a relationship between nutritional intake and BMI with HbA1c levels. Diagnosis of GDM and appropriate intervention can reduce the risk of complications of diabetes mellitus (DM).
Perancangan Aplikasi Penginputan Data Laporan Gangguan Massal Telkom Via Sosial Media (Telegram) Pada PT Telkom Akses Medan Berbasis Bot Telegram Fadillah, Annisa; Anies, Anies
Innovative: Journal Of Social Science Research Vol. 3 No. 6 (2023): Innovative: Journal Of Social Science Research
Publisher : Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Perkembangan aplikasi teknologi baru berdampak pada sistem informasi dan kegiatan sehari-hari orang, termasuk interaksi manusia-mesin dan manusia-manusia. Salah satu aspek terpenting dari kehidupan sehari-hari kita adalah interaksi sosial. Dalam pekerjaan contohnya. Salah satu teknologi terbaik adalah layanan pesan instan, yang dapat secara signifikan meningkatkan pengalaman pengguna. Hal ini membantu pengguna karena memungkinkan mereka menyelesaikan tugas dengan mudah dan cepat. Telegram adalah aplikasi pesan instan. Dalam aplikasi Telegram, ada bot yang disebut Bot Telegram (Botfather), yang membantu pengguna membuat bot. Pengguna dapat berinteraksi dengan bot ini dengan mengirimkan pesan atau perintah, dan bot akan otomatis meresponnya. Kita akan mengontrol bot ini dengan mengirimkan permintaan HTTPS ke API Bot Telegram. Dengan cara ini, kita dapat berbicara dengan bot dan permintaan akan segera diproses secara otomatis. Setiap hari, Telkom Akses, perusahaan yang bergerak dalam bidang pembangunan dan pengelolaan layanan infrastruktur jaringan, memasukkan banyak data penting perusahaan. Namun, perusahaan ini belum memanfaatkan kemajuan teknologi informasi sepenuhnya. Sebagai contoh, sebuah bot di Telegram akan digunakan untuk digitalisasi dan memudahkan proses input data perusahaan karena karyawan masih melakukannya secara manual menggunakan Microsoft Excel.
Sentiment Analysis of 'Free Lunch for Children' Policy on Social Media X Using Random Forest Algorithm Anies, Anies; Ikhsan, Muhammad
Journal of Information System and Informatics Vol 7 No 1 (2025): March
Publisher : Universitas Bina Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51519/journalisi.v7i1.1039

Abstract

The concept of a welfare state emphasizes the main role of the government in providing protection and improving welfare such as health and education to its people. The free lunch program proposed by Prabowo Subianto and Gibran Rakabuming Raka aims to improve the nutritional quality of school children while driving the national economy. The public's reaction to Prabowo Subianto's work program plan, on free school lunch program and nutritional support for Indonesian students, is very diverse in perspective on X. The Random Forest algorithm proved to be quite effective in classifying public sentiment regarding the policy of “Free Lunch for Children.” With an overall accuracy of 73%, the model was able to categorize public opinion into positive, negative, and neutral categories. To improve the performance of the model, upsampling was performed to balance the classes in the dataset as well as hyperparameter tuning. After applying these techniques, the accuracy of the model increased significantly to 80%.