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Postpartum Mothers' Behavior Regarding Perennial Wound Care At The Murniati Clinic Fauziah Gusvita Syarah; Mahyunidar, Mahyunidar; Ilma Widiya Sari; Luluk Khusnul Dwihestie
Jurnal EduHealth Vol. 15 No. 03 (2024): Jurnal EduHealt (September), Year 2024
Publisher : Sean Institute

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

Abstract

Opening oferlukaan the jalan birth canal in the puerperium occurs in almost 90% of childbirth, either with or without episiotomy. The incidence luka pereniof Maple wound in ibu maternity capital in the world in 2015 there were 2.7 million cases, where this figure is expected to reach 6.3 million by 2050. Based on an initial survey conducted by researchers in May to June 2022, it was found that as many as 12 postpartum mothers experienced perenium injuries at the Murniati Kisaran Clinic. Perineal care is the fulfillment of the need to nourish the area between the thighs bounded by the vulva and anus in mothers who are in the period between the birth of the placenta until the return of the genital organs as in the time before pregnancy. The purpose of perenium wound care for women after childbirth is to reduce discomfort , manan, prevent infection, and promote healing. (Morison, 2003). The design of this study is bersifat descriptive , namely to describe how the behavior ibu of postpartum mothers towards perawatan luka perenium wound care at the Murniati Clinic in the range of 2018. By sampling the total sampling of the entire population was used as a sample of 37 puerperal mothers with perenium wounds. Based on the results of the study, it was found that the behavior of puerperal mothers in performing perenium wound treatment at the Murniati clinic in the 2018 Range was sufficient, namely as many as 23 respondents (62%), sufficient knowledge, namely as many as 23 respondents( 62%), sufficient attitude, namely as many as 17 respondents (46%), and sufficient action, namely as many as 20 respondents (35%). The suggestions that can be given on the issue include that the mother always do perenium wound care during the puerperium in order to accelerate the healing process of the wound.
Analisis Metode Pembelajaran Daring pada Mata Pelajaran Bahasa Indonesia di Sekolah Menengah Pertama Kota Palu Yunidar Yunidar; Gusti Alit Saputra; Syamsuddin Syamsuddin
Ranah: Jurnal Kajian Bahasa Vol 12, No 2 (2023): Ranah: Jurnal Kajian Bahasa
Publisher : Badan Pengembangan dan Pembinaan Bahasa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26499/rnh.v12i2.6413

Abstract

The purpose of this study was to analyze online learning methods in the Indonesian language subject at the Palu City Middle School (SMP). This research is a qualitative descriptive research to get an overview of the application of online learning methods in Indonesian language subjects. The subjects of this study were 180 junior high school students, 18 teachers, and 125 parents. Data collection was carried out using an instrument in the form of a Google form questionnaire to obtain data about online Indonesian language learning in junior high schools. The results showed that the readiness of media and online learning applications was very good, which was marked by support from schools and parents in the form of laptop/cellphone facilities and the use of the Google Classroom application, teacher's room, WhatsApp, and other applications developed by the school. Then, the school, teachers, and parents also play an optimal role by providing support for internet/wifi data packages. For students and parents, the weaknesses of learning Indonesian online are the limited meeting time and the internet network which is often interrupted so that students do not understand the material provided by the teacher. Therefore, students, teachers and parents agree that face-to-face learning will be carried out again. AbstrakTujuan penelitian ini adalah untuk menganalisis metode pembelajaran daring pada mata pelajaran bahasa Indonesia di Sekolah Menengah Pertama (SMP) kota Palu. Penelitian ini merupakan penelitian deskriptif kualitatif untuk mendapatkan gambaran penerapan metode pembelajaran daring pada mata pelajaran bahasa Indonesia. Subjek penelitian ini yaitu siswa SMP berjumlah 180, guru berjumlah 18, dan orang tua siswa berjumlah 125. Pengumpulan data dilakukan dengan menggunakan instrumen berupa angket google form untuk memperoleh data tentang pembelajaran bahasa Indonesia secara daring di SMP. Hasil penelitian menunjukkan bahwa kesiapan media dan aplikasi pembelajaran secara daring sangat baik yang ditandai dengan dukungan dari sekolah maupun orang tua berupa fasilitas laptop/handphone dan pemanfaatan aplikasi google classroom, ruang guru, whatsapp, dan aplikasi lain yang dikembangkan oleh sekolah. Kemudian, pihak sekolah, guru, dan orang tua juga memberikan peran yang maksimal dengan memberikan dukungan paket data internet/wifi. Bagi siswa dan orangtua, kelemahan pembelajaran bahasa Indonesia secara daring adalah waktu pertemuan yang terbatas serta jaringan internet yang sering terganggu sehingga siswa kurang mengerti materi yang diberikan oleh guru. Oleh karena itu, siswa, guru, dan orang tua setuju jika pembelajaran tatap muka kembali dilaksanakan.
PENGARUH TEKNIK RELAKSASI NAFAS DALAM TERHADAP PENANGANAN TINGKAT KECEMASAN PASIEN YANG AKAN MENJALANI TINDAKAN EGD DI RUMAH SAKIT DR.BRATANATA JAMBI Yunidar Yunidar; Dwi Yunita; Joko Pitoyo
Jurnal Akademika Baiturrahim Jambi Vol. 6 No. 2 (2017): September
Publisher : Universitas Baiturrahim

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36565/jab.v6i2.29

Abstract

Backgorund:Gastrointestinal endoscopy is an examination procedure gastrointestinal tract directly using fiberoptic scope that aims to perform therapeutic or diagnostic examination. Patients who undergo endoscopic procedures may experience anxiety as a result of lack of information about the procedure, side effects of the procedure and the results of the examination will be accepted. as many as 182 patients who underwent EGD action in the period January-September 2016. The purpose of this study to determine the effect of deep breathing relaxation techniques to handling the anxiety level of patients undergoing EGD action in Jambi dr.Bratanata Hospital.Method:Design The study was a Pre Experiment with One group Pre Test Post Test Design where measurement of anxiety level is done twice: before being given relaxation techniques breath in (pre-test) and after being given the relaxation techniques of breath in (post test) This study was conducted on 6-17 Feb, 2017 at the Hospital dr.Bratanata with new patient population that will take action EGD and total sample of 10 people. Then dialysis univariate and bivariate using T-Test test test dependent.Result:In this study can be concluded There is the influence of deep breathing relaxation technique to handling the anxiety levels of patients undergoing EGD action in Jambi dr.Bratanata Hospital. With the T-Test statistic test obtained (P-Value = 0.001 <0.05).It can be used as input and consideration for the hospital dr. Bratanata Jambi, that the importance of deep breathing relaxation techniques performed for each patient who will act examination and treatment, in order to minimize the anxiety that exist in every patient.
Nilai Sosial dalam Syair Karambangan Suku Pamona Ciptaan Nardi Banggai Yunidar Yunidar; Khairunnisa Bakari
Jurnal Onoma: Pendidikan, Bahasa, dan Sastra Vol. 10 No. 4 (2024)
Publisher : Universitas Cokroaminoto Palopo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30605/onoma.v10i4.4466

Abstract

Suku Pamona adalah suku yang memiliki berbagai macam budaya dan kesenian yang diwariskan secara turun-temurun oleh leluhur mereka. Salah satu kesenian yang masih bisa kita dapatkan hingga saat ini adalah syair karambangan yang di dalamnya memuat nilai-nilai kehidupan. Fokus permasalahan dalam penelitian ini yaitu: bagaimanakah nilai sosial yang terdapat dalam syair karambangan Suku Pamona ciptaan Nardi Banggai. Tujuan pada penelitian ini adalah mendeskripsikan nilai sosial yang terdapat dalam syair karambangan suku pamona ciptaan Nardi Banggai. Penelitian ini termasuk jenis penelitian kualitatif. Data penelitian ini berupa syair karambangan yang diperoleh melalui narasumber langsung. Penelitian ini dilaksanakan di Pamona Selatan, Kabupaten Poso. Teknik pengumpulan data yang digunakan dalam penelitian ini adalah observasi, wawancara, dan studi dokumentasi. Hasil penelitian ini metemukan bahwa syair karambangan Suku Pamona memiliki nilai-nilai sosial seperti: Nilai kasih sayang, Nilai tanggung jawab, dan Nilai keserasian hidup. Nilai kasih sayang terdiri atas Nilai pengabdian, Nilai menolong, Nilai kesetiaan, dan Nilai kepedulian. Nilai tanggung jawab terdiri atas nilai rasa memiliki, nilai disiplin, dan nilai empati. Nilai keserasian hidup terdiri atas nilai keadilan, nilai toleransi, nilai kerja sama, dan nilai demokrasi . Nilai-nilai sosial tersebut dapat kita lihat pada Suku Pamona dalam menjalankan kehidupan sehari-hari.
Design of IoT-Based Battery Monitoring for DC Backup Yunidar, Yunidar; Fathurrahman, Fathurrahman; Melinda, Melinda; Azra, Ery; Malahayati, M.; Elizar, Elizar
Green Intelligent Systems and Applications Volume 4 - Issue 2 - 2024
Publisher : Tecno Scientifica Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53623/gisa.v4i2.528

Abstract

The battery monitoring process for the DC backup power supply at the Banda Aceh Main Substation was previously performed manually using a multimeter, leading to inefficiencies. This study aimed to develop an automated battery monitoring system based on the Internet of Things (IoT) to enhance operational efficiency. The proposed system integrated a DC voltage sensor (voltage divider) connected to the battery and an INA219 sensor to measure current flow during battery usage. A NodeMCU ESP8266 microcontroller, programmed with the Arduino IDE, served as the main data processor and internet interface. Monitoring data was transmitted to officers via an IoT-based cloud server on the Blynk platform. The system was tested using eight NiCd 1.2 V battery cells arranged to simulate the substation setup. The resulting prototype automated daily battery monitoring, significantly improving the efficiency and effectiveness of the monitoring process.
PID Controller Implementation on Animal Experimental Treadmill for Heart Medicine Purpose Melinda, Melinda; Ridwan, Muhammad; Nurbadriani, Cut Nanda; Yunidar, Yunidar
Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control Vol. 8, No. 4, November 2023
Publisher : Universitas Muhammadiyah Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22219/kinetik.v8i4`.1762

Abstract

Experimental animals such as rats are often used for medical research and therapy, such as cardiologists who use a special treadmill to measure the heart health of rats by training walking or running in order to determine the appropriate dose for individuals before being applied to their patients. This research designed a system that is operated by the speed of a DC motor. To control the system, it is proposed to implement a Proportional Integral Derivative (PID) control that is able to stabilize the rotation of the DC motor based on the BPM value recorded by the encoder sensor. The value is used as feedback to the PID control, so that it can control the speed of the DC motor and work optimally and stably under load or no load. Adding a limit switch as a fatigue zone to determine the final duration. This system was tested on several objects, namely 4-month-old rats with a mass of 211 grams, 224 grams, 230 grams, and 240 grams and 2-month-old rats with a mass of 24 grams, 27 grams, 28 grams, and 30 grams. The results show that the speed reading using PID control is in accordance with the constants Kp = 17, Ki = 7, and Kd = 1. This test has a percentage overshoot (%) of 5% and an average rise time value of 0.14 seconds. System performance with a percentage accuracy of 90% starting from a setpoint of 35 m/min.
Classification of Arrhythmic and Normal Signals using Continuous Wavelet Transform (CWT) and Long Short-Term Memory (LSTM) Yunidar, Yunidar; Melinda, Melinda; Azmi, Ulul; Bashir, Nurlida; Nurbadriani, Cut Nanda; Taqiuddin, Zulfikar
Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control Vol. 9, No. 2, May 2024
Publisher : Universitas Muhammadiyah Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22219/kinetik.v9i2.1917

Abstract

An electrocardiogram (ECG) can detect heart abnormalities through signals from the rhythm of the human heartbeat. One of them is arrhythmia disease, which is caused by an improper heartbeat and causes failure of blood pumping. In reading ECG signals, a common problem encountered is the uncertainty of the prediction results. An accurate and efficient heart defect classification system is needed to help patients and healthcare providers carry out appropriate therapy or treatment. Several studies have developed algorithms that are more effective in Machine Learning (ML) in automatically providing initial screening of patients' heart conditions. This study proposed the Long Short-Term Memory (LSTM) method as a classifier of heart conditions experienced by humans and Continuous Wavelet Transform (CWT) as a feature extractor to eliminate noise during data collection. CWT and LSTM methods are believed to perform well in feature extraction and classification of ECG signals. The dataset used in this study was taken from the MIT-BIH Arrhythmia Database. The results of this study successfully extracted ECG signals using CWT, thus improving the understanding of ECG characteristics. This research also succeeded in classifying ECG signals using the LSTM method, which obtained an accuracy training value of 98.4% and an accuracy testing value of 94.42 %.
PENCEGAHAN PERUNDUNGAN MELALUI LITERASI EDUKASI PADA MUSYAWARAH GURU MATA PELAJARAN BAHASA INDONESIA SMP DI KOTA PALU Yunidar, Yunidar; Ketut Alit Suputra, Gusti; Tahir, Moh.; Halifah, Nur
MONSU'ANI TANO Jurnal Pengabdian Masyarakat Vol. 7 No. 2 (2024)
Publisher : Universitas Muhammadiyah Luwuk

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32529/tano.v7i2.3545

Abstract

Kegiatan “Pencegahan Perundungan melalui Literasi Edukasi pada Musyawarah Guru Mata Pelajaran Bahasa Indonesia SMP di kota Palu” dilaksanakan untuk memberikan literasi edukasi pencegahan perundungan kepada guru sebagai penghubung yang akan memberi penyadaran dan pemahaman kepada siswa untuk mencegah terjadinya perundungan di sekolah.Upaya pencegahan perundungan diharapkan memberi pemahaman tentang linguistik forensik dan kesantunan berbahasa. Guru bahasa Indonesia di SMP kota Palu yang bernaung dalam MGMP berperan sebagai perantara untu menyampaikan cara berkomunikasi dengan menggunakan bahasa yang santun ke siswa agar dapat terhindar dari perundungan. Edukasi akan dikemas dalam bentuk pelatihan yang menggunakan model partisipatif. Keberhasilan kegiatan pengabdian ini diukur menggunakan pertanyaan tes awal dan tes akhir kegiatan. Pertanyaan yang diberikan melalui link googleform pada tes awal memperoleh nilai rata-rata 61,2 pada kategori sedang, selanjutnya pada tes akhir memperoleh nilai rata-rata 92,1 pada kategori sangat baik. Hal ini menunjukkan pemahaman awal peserta kegiatan pelatihan mengalami peningkatan setelah mengikuti rangkaian kegiatan pelatihan.
Portable Stress Detection System for Autistic Children Using Fuzzy Logic Melinda, Melinda; Setiawan, Verdy; Yunidar, Yunidar; Gopal Sakarkar; Nurlida Basir
JURNAL NASIONAL TEKNIK ELEKTRO Vol 13, No 2: July 2024
Publisher : Jurusan Teknik Elektro Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/jnte.v13n2.1203.2024

Abstract

Stress is prone to occur in children with autism. According to the study, around 85% of children who have autism suffer from anxiety disorders that can exacerbate their condition, leading to self-harm and harm to those in their vicinity. Heart rate, skin conductance, and finger temperature changes occur during stress. In this paper, we design a system to monitor heart rate, body temperature, and skin conductance to detect signs of stress. Subsequently, the measurement data is processed using the fuzzy logic (FL) method as a decision-maker algorithm. In particular, we use 64 fuzzy rules with membership functions for each parameter. Parameter measurement results will be displayed using a widget called Gauge, while stress conditions will be displayed using a label widget. The results will be displayed on the Blynk application with an IoT system and viewed remotely via Android devices. The test was conducted on five children aged 5-9 years with varying body conditions. From the test results, the mean accuracy of the heart rate sensor was 95.01%, the mean temperature sensor accuracy was 97.7%, and the mean conductance sensor accuracy was 93.75%. The stress levels range from a minimum of 25% to a maximum of 75%. These findings indicate that the developed tool has performed effectively, and it is feasible to monitor its operation remotely.
Object Segmentation in Stunted Face Images using Deeplabv3+ with Resnet-50 Yunidar, Yunidar; Melinda, Melinda; Irhamsyah, Muhammad
JURNAL NASIONAL TEKNIK ELEKTRO Vol 13, No 3: November 2024
Publisher : Jurusan Teknik Elektro Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/jnte.v13n3.1253.2024

Abstract

Stunting is the impaired growth and development that children experience from poor nutrition, repeated infection, and inadequate psychosocial stimulation. This study explores the impact of data preprocessing, specifically using DeepLabV3+ segmentation, on the performance of ResNet-50 in classifying stunting and non-stunting facial images. Initially, ResNet-50 achieved 99% accuracy and a 3.22% loss with the unsegmented dataset. By applying DeepLabV3+ to remove irrelevant features and backgrounds, the model's performance improved to a perfect 100% accuracy and a reduced loss of 0.45%. These results underscore the importance of high-quality data preprocessing in enhancing model precision and reliability. The findings have significant implications for practical applications, particularly in medical imaging, where improved diagnostic accuracy can benefit patient outcomes. Further research is recommended to explore additional preprocessing methods and their effects on model performance across diverse domains. This study highlights the transformative potential of effective data preprocessing in optimizing deep learning models for more accurate and reliable machine learning solutions.
Co-Authors . Roslidar Abdul Kamaruddin Acula, Donata D Acula, Donata D. Ade Nurul Izatti G. Yotolembah Akbar Akbar Akbar, Muhazir Alfariz, Muhammad Fauzan Ali Karim Ali Karim Ali Karim Amalia Amalia Aman Aman Amrie Firmansyah Andi Safutra Suraya Anizar, Lis Arini Nurazizah Asniar Asniar Azra, Ery Bashir, Nurlida Basir, Nurlida Christi L., Rita Cut Dewi, Cut D Acula, Donata Darmawan Darmawan Dian Safitri Dwi Yunita Elizar Elizar, Elizar Fahmi Fahmi Farhan Fathur Rahman, Imam Fathurrahman Fathurrahman Fauziah Gusvita Syarah Femmy Jacoba Ferdi Nazirun Sijabat, Ferdi Nazirun Ferdinand, Frans Fitri Arnia Gazali Lembah Ghimri, Agung Hilm Golar Golar Gopal Sakarkar Gusti Alit Saputra Gusti Alit Suputra Gusti Ketut Alit Suputra Harisa, Sitti Hasriani Muis Hidayat Hidayat I Gusti Ketut Alit Saputra I Made Sukanata Ida Nuraeni Indarwati , Retno Indra Indra Irdawati Irdawati Jayanti Puspita Dewi Joko Pitoyo Jumeil, T Muhammad Juniati Juniati Khairah, Alfita Khairia, Syaidatul Khairunnisa Bakari Khairunnisa Bakari Laguliga, Syapril A. Lailatul Qadri Zakaria Lantuba, Yanis Men Leo, Hendrik Luluk Khusnul Dwihestie M Asri B M. Asri B Malahayati, M. Masyithah, Syarifah Mauli Maulida, Zenitha Melinda Melinda Miftahujjannah, Rizka Mina Rizky, Muharratul Misbahuddin Misbahuddin Moh. Tahir Moh. Tahir Mohd. Syaryadhi Mohd. Syaryadhi Muhammad Irhamsyah Muhammad Muhammad Muhammad Ridwan Muna, Lia Aulial Mursidin . Muthia Aryuni Muttaqin, Ikram Nasaruddin Nasaruddin NFN Nursyamsi NFN TAMRIN Nirmayanti, Nirmayanti Nizam Salihin Nur Ahyani Nur Fadilah Nur Halifah Nur Halifah, Nur Nur'aeni, Ida Nuraedah Nurbadriani, Cut Nanda Nurbaya Nurbaya, Nurbaya Nurbismi, Nurbismi Nurlida Basir Nurrahmad, Nurrahmad Nursyamsi Nursyamsi Oktiana, Maulisa Pandaleke, Alex Y. Pertiwi, Rizqina Wahyu Laras Putri Mauliza, Putri Qadri Zakaria, Lailatul Rafiqi, Ashaf Rahmatika, Laily Ramadani, Nurhaliza Ramadhan, Irsyan Ramdhana, Rizka Rhamdhani, Rhamdhani Ridara, Rina Roslawa, Roslawa Sabiran, Sabiran Sadia, Fachrudin Saharudin Barasandji Sahrul Saehana Sakarkar, Gopal Salsabila, Unik Hanifah Samad, Muhammad Ahsan Santi Santi Sarmin Sarmin Satria Satria, Satria Setiawan, Verdy Siti Fatinah Siti Rusdiana Sitti Harisah Sri Jelis Suci Rahayu Suharja, Anggi Auliyani Suyanda, Arya Syamsuddin Syamsuddin Tamrin Tamrin Tamrin Tamrin Ulfah Ulinsa, Ulinsa Ulinsa, Ulinsa Ulul Azmi Vilzati, Vilzati Wachidi, Achmad Wahyuni, Silvya Dwi Wardana, Surya Wong, W.K Wong, W.K. Yazid Yaskur Yudha Nurdin Yusni, Y Yuwaldi Away Zainab Zainal, Zulfan Zulfikar Taqiuddin Zulhelmi, Zulhelmi Zulianto, Sugit