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Rostilawati, Detila
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Computer Science & IT Nursing Public Health Social Sciences

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Melatih Cara Berfikir Komputasi Pada Siswa Sekolah Dasar dan Menengah di Kabupaten Garut Tresnawati, Dewi; Rostilawati, Detila; Latifah, Ayu; Satria, Eri; Mulyani, Asri; Rahayu, Sri; Fitriani, Leni; Cahyana, Rinda; Nurhidayanti, Shopi; Asyah, Cha Cha Nisya
Journal of Community Development Vol. 5 No. 2 (2024): December
Publisher : Indonesian Journal Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47134/comdev.v5i2.1373

Abstract

Technological advances in the 21st century demand Computational Thinking skills that are increasingly important in the digital era. However, the application of Computational Thinking (CT) at the primary and secondary education levels in Garut Regency is still limited. This study aims to improve the understanding of CT among students in elementary schools, junior high schools, and vocational high schools through a training program that includes pre-test, interactive training, and post-test. The training method was designed according to the educational level of the participants, using Bebras questions to train CT skills. The pre-test results showed an average initial score of 47.19, while the post-test results increased by an average of 25.75 points to 72.94. The findings show that the training successfully improved participants' understanding of CT through a structured approach, including introduction of concepts through sample Bebras problems, practice problems, as well as a comprehensive question and answer session.
QBIDAN: Aplikasi Kebidanan Berbasis Mobile Susilawati, Intan Rina; Satria, Eri; Rostilawati, Detila; Suryani, Naning; Ernawati, Ernawati; Handayani, Titi Purwitasari
Jurnal Algoritma Vol 21 No 2 (2024): Jurnal Algoritma
Publisher : Institut Teknologi Garut

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33364/algoritma/v.21-2.1691

Abstract

Most midwife services still use manual recording, which is less effective, causing increased workload, difficulty finding information, and the risk of losing important data. This research aims to develop the QBidan application which provides various features to assist in monitoring pregnancy, provide health information, and offer useful resources and tips during the pregnancy journey. This application can also facilitate communication between pregnant women and health workers and provide guidance on nutrition, physical exercise, and preparation for childbirth. Research methods using waterfalls include communication, planning, modeling, construction, and implementation. The results of black-box testing and beta testing produced an average score of 4.8 (96%). The results of this evaluation show that the QBidan application that was built has met user needs. This research can be further developed by adding features such as a suburban calendar, consulting midwife services, and measuring technology acceptance by users.
Co-Authors Asri Mulyani Asyah, Cha Cha Nisya Dewi Tresnawati Eri Satria Ernawati Ernawati Handayani, Titi Purwitasari Intan Rina Susilawati Latifah, Ayu Leni Fitriani, Leni Nurhidayanti, Shopi Rinda Cahyana SRI RAHAYU Suryani, naning