The Covid-19 pandemic has affected the way of policing due to social restrictions, but then gathering and expressing opinions in public cannot be prevented, because this is a part of human right. Crowd control during the pandemic, one of which was escorting community convoys, then became a challenging task for the police. This paper aims to analyze the application of police discretion in escorting community convoys during the Covid-19 pandemic. Qualitative methods were used in the development of this research, by conducting literature studies and interviews in collecting data. The analysis in this study is based on discretionary theory and procedural justice theory. The results of the analysis show that currently policing is shifting to adjust to pandemic conditions, one of the important elements is the expansion of the police's discretionary authority in handling pandemics in the field related to law enforcement, especially regarding social restriction policies. This discretion then needs to be applied in public order management and crowd control. The way that the police can do in crowd control is to develop intense communication with the community to create dialogue-based solutions that the community will voluntarily comply with. The implementation of escorting community convoys in the jurisdiction of Polda Metro Jaya shows that the police who carry out escorts are still unable to apply discretion properly, causing discriminatory discretion and non-function discretionary deviations. This then causes public doubts about the ability of the police to exercise discretion in order to achieve justice
Along with the advance of development, the need for electrical energy is increasing. Hence, all of that can be seen from the many uses of electronic devicesoand other mechanical devices in each building. As a result, every building requires an adequate supply of electricityoto beeableoto meet the needspof lighting or its mechanicalpproduction, therefore we should assist the state in using electrical energy wisely, namely by usinggit when it isineeded and notousing itowhen it is not needed, such as using room lighting when it is needed. This is small thing that is often underestimated by the community but haspa huge impact on wasting Electrical Energy, based on these problems, we created an automatic lighting system withothe aimpof beingoable tophelp use when needed, this tool was made using Arduino Uno as an automation center, and sensors PIR (Passive Infra Red) as a detector of the presence of room users, so that when a room user iskdetected by a PIR (Passive Infra Red) sensor, the lights in the room will turn on automatically and after five minutes ifothe sensorldoes notjdetect the presence of theiuser, room lights willoturn off automatically, so we hope this tool can help the community in energy saving efforts.
Proses menambahkan warna pada citra grayscale diperlukan agar perbaikan pada citra dapat dilakukan secara cepat dan tanpa pengetahuan khusus. Pewarnaan citra menggunakan metode Deep Convolutional Generative Adversarial Network (DCGAN) dan metode Generative Adversarial Network (GAN). Pelatihan model menggunakan dataset Places365, yang berisikan 98.721 data pelatihan dan 6.600 data pengujian. Citra dikonversi ke dalam ruang warna CIELAB, dengan memanfaatkan channel L sebagai input grayscale dan channel AB sebagai input lainnya. Pengujian dilakukan dengan membandingkan nilai akurasi menggunakan metode Mean Absolute Error (MAE) dan Structural Similarity Index Matrix (SSIM). Hasil perhitungan metode MAE menunjukkan bahwa rata-rata nilai MAE metode DCGAN lebih kecil dibandingkan metode GAN, dengan skor 10,18 dan 10,81. Hasil perhitungan metode SSIM menunjukkan bahwa metode DCGAN memiliki rata - rata yang lebih tinggi dengan skor 91,54% dan 68,32% untuk metode GAN. Hasil kuesioner yang dilakukan terhadap 30 responden menunjukkan bahwa metode DCGAN dipilih oleh lebih banyak responden dibandingkan metode GAN, masing-masing sebesar 88,40% dan 11,60%.
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