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PENGARUH AIR REBUSAN SELEDRI PADA LANSIA PENDERITA HIPERTENSI DI PUSKESMAS KAMPUNG DALAM PONTIANAK TIMUR TAHUN 2021 Mather, Mather; Maharani, Asri; Triyani, Irma
Scientific Journal of Nursing Research Vol 5, No 1 (2023): April 2023
Publisher : Poltekkes Kemenkes Pontianak

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30602/sjnr.v5i1.1338

Abstract

Angka kejadian hipertensi pada lansia semakin meningkat, komplikasi hipertensi pada lansia adalah risiko stroke, aneurisma, gagal jantung, infark miokard akut dan penyakit ginjal. Penatalaksanaan hipertensi meliputi farmakologi dan non farmakologi, salah satu penatalaksanaan non farmakologi adalah rebusan seledri. Metode penelitian yang digunakan adalah quasi experiment dengan rancangan pre-test and post-test nonequivalent control group design. Populasi dalam penelitian ini adalah lansia hipertensi dengan jumlah 16 responden pada masing-masing kelompok. Kelompok intervensi (rebusan seledri 200 cc dalam sehari selama lima hari) dan kelompok kontrol (intervensi standar). Analisis univariat menggunakan frekuensi usia, jenis kelamin, pendidikan, pekerjaan, dan hasil pengukuran tekanan darah. Dan analisis bivariat menggunakan Paired T-test dan Independent T-test. Hasil penelitian didapatkan p-value 0,000 < α, (α=0,05) pada kelompok intervensi dan kelompok kontrol sehingga pada penelitian ini H˳ ditolak dan Hα diterima, artinya ada pengaruh yang signifikan rebusan seledri pada kelompok intervensi dan kelompok kontrol tanpa intervensi air rebusan seledri tetapi minum obat hipertensi. Kesimpulan dari penelitian ini adalah Senyawa aktif pada seledri dapat menurunkan tekanan darah, sehingga rebusan seledri dapat digunakan sebagai intervensi non farmakologi untuk pasien hipertensi.
Decoding the Cognitive Footprint of Autism: Unveiling the Nexus between Autism Spectrum Disorder and Cognitive Abilities in Children with Special Needs Windarwati, Heni Dwi; Lestari, Retno; Hidayah, Ridhoyanti; Hasan, Haliza; Kusumawati, Mira Wahyu; Ati, Niken Asih Laras; Selena, Irhamna Nias; Dumar, Bergita; Rahayu, Gemi; Maharani, Asri
Sawwa: Jurnal Studi Gender Vol. 19 No. 2 (2024): October
Publisher : Pusat Studi gender dan Anak (PSGA) Universitas Islam Negeri Walisongo Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21580/sa.v19i2.19934

Abstract

Children with special needs experience disruptions in their physical, mental, and cognitive development and socialization, causing their daily activities to differ from other children. One classification of children with special needs was Autism Spectrum Disorder (ASD), in which the status and severity of ASD symptoms are related to cognitive abilities. This study aimed to determine the relationship between autism status in children with special needs and their cognitive abilities. This study employs a quantitative design with a cross-sectional method and involves 55 children with special needs in Malang City, East Java Province, Indonesia. The study was conducted on 55 children with special needs in Malang City in East Java Province, Indonesia. The Autism Spectrum Quotient (AQ-10) questionnaire was used to measure autism status, and cognitive abilities were measured using the Autism Treatment Evaluation Checklist (ATEC). This study showed that as many as 85.5% of children with special needs have characteristics that lead to autism. Most children lived with siblings (72.8%), and 21.8% had siblings with the same condition. The Spearman-Rho analysis indicated a significant relationship between autism status and cognitive abilities (coefficient: 0.425; p-value=0.001). Our study found that children with special needs tend to have ASD status, so children with ASD need to get cognitive therapy according to their abilities. Therefore, parents and special needs schools must collaborate to enhance the cognitive abilities, quality of life, and overall health of special needs students through therapy focused on child's abilities to help them achieve independence and productivity.
Socio-Epidemiological Perspectives of Sexual Trauma Experiences and Influential Factors on Sexual Orientation in Men Who Have Sex with Men Sitorus, Rico Januar; Misnaniarti, Misnaniarti; Legiran, Legiran; Syakurah, Rizma Adlia; Sartika, Diana Dewi; Maharani, Asri; Patresia, Retta
Kesmas Vol. 20, No. 1
Publisher : UI Scholars Hub

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Abstract

The complexity of sexuality and sexual trauma experiences, including harassment, unwanted touching, sexual urges, and forced sexual intercourse, should not be underestimated because of the tendency to initiate adverse psychosocial impacts. Sexual harassment can increase mental health risks, which may influence sexual orientation decisions. This quantitative study, using a cross-sectional design, aimed to determine a relationship between sexual trauma experiences and sexual orientation in men who have sex with men (MSM). This study population was MSM living in Palembang and Prabumulih City, with a sample size of 216 respondents. The proportion of respondents with homosexual orientation was 57.1%, and the proportion having sexual trauma experiences was 42.3%. The multiple logistic regression identified a significant relationship between sexual trauma experiences and sexual orientation in MSM with a pvalue of 0.02, an adjusted odds ratio of 2.71, and a 95% CI of 1.17-6.26. These results suggested a higher risk of a different sexual orientation among traumatized MSM compared to MSM without one after controlling access to pornographic content and correcting parenting patterns. Sexual trauma has been shown to affect individual sexual orientation; therefore, special attention is needed due to the impact on future life behavior.
PENGARUH PENERAPAN LKPD IPA BERBASIS SIKLUS BELAJAR LAWSON TERHADAP SIKAP INGIN TAHU DAN HASIL BELAJAR KOGNITIF PESERTA DIDIK Maharani, Asri; Prasetyo, Zuhdan Kun
Jurnal TPACK IPA Vol 7, No 5 (2018): Jurnal Pendidikan IPA (September, 2018)
Publisher : Universitas Negeri Yogyakarta

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Abstract

Penelitian ini bertujuan untuk mengetahui pengaruh penerapan LKPD IPA berbasis siklus belajar Lawson terhadap sikap ingin tahu dan hasil belajar kognitif peserta didik.Penelitian ini merupakan penelitian quasy eksperiment dengan non-equivalent pretest-posttest control group design. Populasi dalam penelitian ini adalah seluruh kelas VIII SMP N 1 Sewon tahun ajaran 2017/2018. Sampel penelitian diperoleh metode cluster random sampling. Kelas VIII F merupakan kelas eksperimen, melaksanakan pembelajaran menggunakan LKPD berbasis siklus belajar Lawson sedangkan kelas VIII G sebagai kelas kontrol menggunakan LKS Sekolah. Instrumen yang digunakan untuk mengukur sikap ingin tahu peserta didik yaitu angket dan lembar observasi untuk mengamati sikap ingin tahu. Tes digunakan untuk mengukur hasil belajar kognitif peserta didik. Keterlaksanaan pembelajaran diukur dengan lembar observasi keterlaksanaan pembelajaran. Teknik analisis data yang digunakan adalah independent t-test untuk mengetahui ada tidaknya perbedaan kemampuan kognitif awal peserta didik, paired t-test untuk mengetahui pengaruh LKPD terhadap kemampuan kognitif sebelum dan sesudah diberikan perlakuan dan uji manova untuk mengetahui pengaruh LKPD terhadap sikap ingin tahu dan hasil belajar kognitif peserta didik serta uji effect size untuk mengetahui besarnya pengaruh.Hasil penelitian terdapat pengaruh yang signifikan penerapan LKPD IPA berbasis siklus belajar Lawson terhadap sikap ingin tahu dan hasil belajar kognitif peserta didik.Kata kunci: Kognitif, LKPD, Siklus Belajar Lawson, Sikap Ingin Tahu
Enhanced diabetes and hypertension prediction using bat-optimized k-means and comparative machine learning models Sofro, A'yunin; Ariyanto, Danang; Prihanto, Junaidi Budi; Maulana, Dimas Avian; Romadhonia, Riska Wahyu; Maharani, Asri; Oktaviarina, Affi; Kurniawan, Ibnu Febry; Khikmah, Khusnia Nurul; Al Akbar, Muhammad Mahdy
International Journal of Advances in Intelligent Informatics Vol 11, No 4 (2025): November 2025
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26555/ijain.v11i4.1816

Abstract

This research aims to develop an analytical approach to classification statistics. The proposed approach combines machine learning with optimization. Considering the urgency of research related to exploring the best methods to apply to sports data. This study proposes a novel framework that combines the k-means clustering results with the bat algorithm to optimize performance prediction for athletes in Indonesia. The proposed method aims to explore the data by comparing the classification performance of random forests, extremely randomized trees, and support vector machines. We conducted a case study using primary data from 200 respondents at Surabaya State University and the East Java National Sports Committee. The accuracy results in this study indicate that, based on the performance evaluation metric, the best approach is random forest clustering using k-means with bat algorithm optimization, achieving 81.25% accuracy, compared with other machine learning approaches. This research contributes to the field of classification statistics by introducing a novel hybrid framework that integrates machine learning, clustering, and optimization techniques to improve predictive accuracy, particularly in sports analytics. Beyond sports science, the proposed approach can be adapted to other domains that require robust performance prediction and decision support, such as health analytics, educational assessment, and human resource selection.
TRADITIONAL LOGISTIC REGRESSION AND MACHINE LEARNING APPROACHES OF SOCIODEMOGRAPHIC AND ANTHROPOMETRIC FACTORS INFLUENCING HYPERTENSION IN ATHLETES Sofro, A'yunin; Maharani, Asri; Mustafidah, Mutia Eva; Khikmah, Khusnia Nurul; Oktaviarina, Affiati; Ariyanto, Danang
BAREKENG: Jurnal Ilmu Matematika dan Terapan Vol 20 No 2 (2026): BAREKENG: Journal of Mathematics and Its Application
Publisher : PATTIMURA UNIVERSITY

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30598/barekengvol20iss2pp1125-1138

Abstract

The type and intensity of exercise performed by athletes play an important role in affecting blood pressure stability, putting them at risk of developing hypertension. Hypertension, or high blood pressure, is a medical condition in which the blood pressure in the arteries rises above normal limits. Hypertension in athletes becomes an essential factor in real cases if not detected early. Therefore, this study aims to model and analyse the sociodemographic and anthropometric factors that influence the incidence of hypertension. The data used in this study are primary data from 200 athlete selection participants at the University of Surabaya and the Indonesian National Sports Committee (INSC) of East Java. This research method proposes to compare the traditional approach with machine learning to prove the accuracy comparison of the model's goodness, where both approaches are proposed by considering the novelty proposed through the machine learning approach but still maximizing the traditional approach. The proposed methods are binary logistic regression, binary logistic regression with the addition of random effects, highly randomized tree, and support vector classification. The binary logistic regression model is better than the binary logistic regression model with random effects, random trees, and support vector classification because the accuracy, sensitivity, specificity, and F1-score value (68.5%, 69%, 68%, and 68.8%) is highest than the others. Other results showed that the waist circumference variable, the father's occupation variable, and the salary variable significantly affected hypertension at the 5% significance level.