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Model Collaborative Governance dalam Penyediaan Perumahan (Studi pada Program Rehabilitasi Sosial Rumah Tak Layak Huni di Kota Prabumulih Provinsi Sumatera Selatan) Priadi, Aris; Sobri, M.; Setyoko, Paulus Israwan; Putra, Raniasa
Ganaya : Jurnal Ilmu Sosial dan Humaniora Vol 7 No 1 (2024)
Publisher : Jayapangus Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37329/ganaya.v7i1.3064

Abstract

This research aims to explore the concepts and theories of collaborative governance models in addressing the social rehabilitation program for uninhabitable houses in the region. The benefits involve offering recommendations to the government regarding responsive local government models in addressing uninhabitable houses, providing policy suggestions for involving the community in handling such situations, contributing to the development of Public Administration knowledge, and creating effective public policies in dealing with uninhabitable houses. The research utilizes a qualitative method with a descriptive approach. Results indicate significant participation involving various stakeholders such as government, private sector, and the community. The acceleration of uninhabitable house rehabilitation in Prabumulih City has positive impacts on the economy and health. The research concludes that a collaborative governance-based social rehabilitation program management, with facilitative leadership and institutional design supporting private sector and community participation, can achieve optimal results in addressing uninhabitable houses.  
Pendeteksi Masker dan Monitoring Suhu menggunakan Webcam dan Sensor Suhu GY-906 untuk Pencegahan Penularan Covid-19 Evelina, Evelina; Putra, Yogie Dwi; Husni, Nyayu Latifah; Handayani, Ade Silvia; Rasyad, Sabilal; Sobri, M.
Jurnal Ampere Vol. 7 No. 2 (2022): JURNAL AMPERE
Publisher : Universitas PGRI Palembang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31851/ampere.v7i2.9514

Abstract

Covid-19 is a pandemic that occurs in various parts of the world and is a form of public concern. Coronavirus Disease (Covid-19) is a mutation of the Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) which is highly infectious. The use of masks, keeping a distance and monitoring body temperature are ways that can be done to prevent the transmission of the Covid-19 virus. Many people have to give up their lives because of their ignorance of the dangers of this virus. Based on this, the authors try to develop a system that is able to detect and monitor automatically. That is by applying the use of mask detection and monitoring human body temperature before entering the room. The design of this detection system uses a webcam connected to a raspberry pi and a GY-906 Temperature Sensor and a HC-SR04 Proximity Sensor that is connected to an arduino nano. The way this detection system works is that the system can find out whether the user is wearing a mask or not and the user can find out his body temperature before entering the room. Besides, the output of this detection system is in the form of a display on the monitor and LCD as well as supporting outputs such as LEDs and Buzzers.ABSTRAKCovid-19 merupakan pandemi yang terjadi di berbagai belahan dunia dan merupakan bentuk kepedulian masyarakat. Coronavirus Disease (Covid-19) adalah mutasi dari Sindrom Pernafasan Akut Parah Coronavirus 2 (SARS-CoV-2) yang sangat menular. Penggunaan masker, menjaga jarak dan memantau suhu tubuh menjadi cara yang bisa dilakukan untuk mencegah penularan virus Covid-19. Banyak orang yang harus merelakan nyawanya karena ketidaktahuan mereka akan bahaya virus ini. Berdasarkan hal tersebut, penulis mencoba mengembangkan suatu sistem yang mampu mendeteksi dan memonitoring secara otomatis. Yaitu dengan menerapkan penggunaan masker pendeteksi dan pemantauan suhu tubuh manusia sebelum memasuki ruangan. Perancangan sistem pendeteksi ini menggunakan webcam yang terhubung dengan raspberry pi dan Sensor Suhu GY-906 serta Sensor Proximity HC-SR04 yang terhubung dengan arduino nano. Cara kerja sistem pendeteksi ini adalah sistem dapat mengetahui apakah pengguna memakai masker atau tidak dan pengguna dapat mengetahui suhu tubuhnya sebelum memasuki ruangan. Selain itu, keluaran dari sistem pendeteksi ini berupa tampilan pada monitor dan LCD serta keluaran pendukung seperti LED dan Buzzer.