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Pengembangan Sistem Pembelajaran Berbasis Blended Learning Untuk Menunjang Merdeka Belajar di Lingkungan Internal SMKN 1 Balikpapan Ihsan Ihsan; Nur Yanti; Dwi Lesmideyarti
Jurnal Sibermas (Sinergi Pemberdayaan Masyarakat) Vol 12, No 2 (2023): Jurnal Sibermas (Sinergi Bersama Masyarakat)
Publisher : Universitas Negeri Gorontalo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37905/sibermas.v12i2.21442

Abstract

This activity was carried out with a background of wanting to implement relevant knowledge to help problems that exist in society, especially in the field of information technology. Such as Blended Learning combines offline class instructions with online (computer) instruction with the hope that students will be able to solve problems related to learning content independently or in groups, according to the abilities of each student. This activity was carried out using the waterfall method approach with the creation of a learning, training, discussion and evaluation system. The method for creating a learning system is using Moodle and the MySQL database which will be installed on the internal server of SMK Negeri 1 Balikpapan. This activity produces a Blended Learning system that can be easily used by teachers and students to support Independent Learning and can increase the interest and quality of student learning at SMKN 1 Balikpapan.
Implementasi Sistem Smart Parking Berbasis Internet of Things Di Gedung Parkir Klandasan Kota Balikpapan Riklan Kango; ihsan ihsan; Andi Yasir Amsal
Jurnal Ilmu Komputer (JUIK) Vol 3, No 2 (2023): October 2023
Publisher : Universitas Muhammadiyah Gorontalo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31314/juik.v3i2.2497

Abstract

Parking space management in metropolitan settings has become more difficult as a result of increased urbanization. To increase parking effectiveness, technological solutions like the Internet of Things (IoT) have been suggested. However, further research is still needed to fully understand the application of IoT in parking systems. This study focuses on the deployment of an Internet of Things-based smart parking system in Balikpapan City's Klandasan Parking Building. Our objective is to increase the effectiveness of parking use and eliminate the frequent parking spot shortage. In the Klandasan Parking Lot, we design and deploy an Internet of Things-based smart parking system. We evaluate the accuracy of infrared sensors, system response time, and parking efficiency before and after system implementation. The findings of our one-week test indicate that the smart parking system can accurately (with 100% sensor accuracy) and quickly (with an average reaction time of 7 miliseconds) detect parking availability. Additionally, the online application gives consumers another level of ease when it comes to getting data about parking availability and making payments. The findings of this study significantly advance our understanding of how IoT is being implemented in parking systems. As a result of this study, it may be possible to apply comparable ideas to urban parking issues on a larger scale