In this short paper, we prove that smartphones connected to Wi-Fi can be detected (scanned) easily with a Raspberry Pi help. According to the observation, the smartphone eventually broadcasts some packets of data containing MAC layers data. The period of broadcasting data depends on the smartphone’s state (active scanning/sleep). Besides MAC layers data, we also detect/capture other parameters, i.e., wireless signature data transmitted by smartphone (RSSI) and Time-stamp. The RSSI value measured in this test has a range from –30 dBm to –80 dBm. The result proves that different smartphones give different RSSI values (each smartphone emits different power strength). The RSSI value has more significant changes in a short-range (in this test result, 1 to 10 meters) and less significant change in a long-distance (above 20 meters). MAC address, time-stamp, and RSSI scanned/captured successfully through Raspberry Pi from the smartphones can be used as a reference for various purposes/applications in future work, such as Wi-Fi scanning/tracking system.

The Community Service Program (PkM) is designed to provide practical training on digital book production for teachers at Lab School of UPI, Purwakarta. This project was conducted offline with 9 participants, under the COVID-19 health protocol. The material was presented in 3 forms, termed face-to-face, Zoom video conferencing and the training video. Also, 4 open-source web-based softwares were explored, including Canva for book covers, Vocaroo as an audio explainer and Animaker for motion graphics-based videos. The results of these three applications were combined by Sigil into an EPUB-formatted digital book. Subsequently, the training employed an interactive format, with a combination of classical and practical activities. Based on the overall results, the participants were known to obtain extensive knowledge and hands-on experience in digital book compilation. These teachers were able to operate the digital tools to create book covers, online audio recording and animated videos, as well as integrate the independent copies into digital books. Furthermore, the material content, delivery method and practical implementation showed a satisfactory outcome by 86.2, 85 and 88%, respectively. Therefore, the newly acquired skills are expected to reflect on the teaching materials for online learning at SD Lab School of UPI Purwakarta, during the COVID-19 pandemic.