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Asiah Asiah
Universitas Syiah Kuala
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Blended Learning to Improve the Physical Examination Ability of Nursing Students Supriatin, Supriatin; Rithpho, Pratuma; Asiah, Asiah; Hikhmat, Rokhmatul
International Journal of Educational Qualitative Quantitative Research Vol. 1 No. 2 (2022)
Publisher : Qualitative and Quantitative Research Center

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58418/ijeqqr.v1i2.20

Abstract

Coronavirus disease has an impact on the education sector. Educators use a combined learning method between face-to-face and online learning to break the chain of virus spread. One of the proper methods is blended learning with the help of information and communication technology to achieve learning objectives. This study aimed to determine the effectiveness of the blended learning method on the physical examination abilities of nursing students. This study uses a pre-experiment. The research location is in STIKes (College of Health Sciences), Cirebon, Indonesia, with a sample of 100 Nursing students. The technique uses purposive sampling and the N-Gain value analysis. The result shows a significant difference in the competence of the physical examination before and after getting the blended learning method. The blended learning method is proven effective in increasing the competence of the physical examination of nursing students. In addition, an exciting learning process through online and conventional media provides a high satisfaction value. Blended learning is one of the learning solutions in the new era of the COVID-19 pandemic to suppress the spread of COVID-19 and improve students' abilities.
Water Quality Monitoring using ONLIMO Automatic Water Monitoring Device in Water Pollution Monitoring Efforts Nurlaila, Nurlaila; Asiah, Asiah; Elfidasari, Dewi
Journal of Tropical Biodiversity Vol 4 No 3 (2024): August 2024
Publisher : Universitas Nasional Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59689/bio.v4i3.233

Abstract

Water quality is one of the key indicators of environmental health that impacts aquatic life and human health. Water quality monitoring is important to measure the impact of human activities and ensure water meets quality standards. Conventional methods of manual water sampling face challenges such as distance, safety risks, and long analysis times, making it less effective for rapid monitoring to address environmental pollution. Following Law No. 32 of 2009, the government requires environmental information for environmental management policies. The Ministry of Environment and Forestry encourages using ONLIMO (online monitoring) technology for automated monitoring, with data published through the MoEF's ONLIMO website. This study was conducted to introduce and analyze the efficiency of ONLIMO technology in water pollution control so that policies and actions can be taken quickly and appropriately. Field verification shows physical factors such as indicators of garbage around the Cipinang River water flow, visible murky watercolor, pungent smelling water, dense residential settlements around the Cipinang River water flow, and the number of industries built in the Cipinang River flow indicate that the Cipinang watershed water quality recorded through ONLIMO water quality monitoring sensors and field verification shows a state of mildly polluted conditions. This factor suggests that the ONLIMO KLHK automatic monitoring tool has the effectiveness and efficiency of water quality monitoring because the data entered into the ONLIMO KLHK database through data loggers and field conditions directly show data similarities. Therefore, the ONLIMO KLHK automatic monitoring tool can be an effective early warning system and allows increased efficiency in water pollution control because the data obtained is real-time and by the original water quality conditions at the location.
Co-Authors Abdul Munir Ade S. Anhar Ahmadin Ahmadin Andi Putra Azizah, Wafiq Damanik, Jhon Erikson Dewi Elfidasari Ellis, Rusnawaty Fitria, Amanda Ginting, Rafael Lisinus Gultom, Theresia Haryanti, Syarifah Hasanah, Ghina Hayati, Firdha Hedy Hardiana Herlinawati Herlinawati Herlinawati Herty, Azuri Judia Hidayat, Abas Hikhmat, Rokhmatul Irawan, Mirza Irawan, Mirza Iriani, Dewi Alpina Irnawati Irnawati Jumiati Jumiati Junaidin, Junaidin Karsina, Karsina Lubis, Melinda Rosa Maulida, Maulida Meliani, Lisah Muhammad Khairul Rijal Nabila, Rinjani Cyra Nadlifah, Nadlifah Nadlifah, Nadlifah Nainggolan, Elizon Nor Jannah, Nor Nurlaila Nurlaila Purba, Yani Aprilia Risma, Nor Rithpho, Pratuma Rizkiyah, Laeli Rohmalina, Rohmalina Safitri, Debby Said . Iskandar Salhah, Salhah Sari, Armita Setiowati, Oktasha Tri Siti Raudah Supriatin Supriatin, Supriatin Suryani, Nita Syahru Ramadhan Utami, Risqi Violina, Erwita Ika Zaharudin, Zaharudin Zamroni Zamroni