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Journal : kawanad

Pemanfaatan Google Spreadsheet Untuk Akuisisi Data Online Bagi Guru SMK di Banda Aceh Muhammad Dirhamsyah; Yuwaldi Away; Muslimsyah; M. Jamil; T. Edisah Putra; Masri Ibrahim; Andri Novandri
Kawanad : Jurnal Pengabdian kepada Masyarakat Vol. 2 No. 1 (2023): March
Publisher : Yayasan Kawanad

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56347/kjpkm.v2i1.100

Abstract

Data acquisition is the process of collecting data or information from various sources, including sensors, software, hardware, or humans, for use in analysis or decision-making. The purpose of data acquisition is to collect data that is accurate, reliable, and useful for further analysis or decision-making. In introducing the concept of data acquisition, acquisition introduction training was conducted for the teaching staff. Data acquisition training covers the process of transferring data from sensors to Google Sheets. For teaching staff at SMK Negeri 2 Banda Aceh, the use of Google Spreadsheets is still too common. Therefore, the community service team successfully carried out training activities on Wednesday, April 13, 2022. The training included an introduction to the ESP8266 microcontroller, then continued with the introduction of Google Spreadsheets, taught how to assemble hardware in the form of DHT11 sensors and ESP8266 microcontrollers, and carried out the process sending data as well as storing data on Google Sheets. This activity has a positive impact on improving the ability of teaching staff and indirectly can be applied in teaching materials or applied in everyday life.
Pemanfaatan Google Spreadsheet Untuk Akuisisi Data Online Bagi Guru SMK di Banda Aceh Dirhamsyah, Muhammad; Away, Yuwaldi; Muslimsyah; Jamil, M.; Putra, T. Edisah; Ibrahim, Masri; Novandri, Andri
Kawanad : Jurnal Pengabdian kepada Masyarakat Vol. 2 No. 1 (2023): March
Publisher : Yayasan Kawanad

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56347/kjpkm.v2i1.100

Abstract

Data acquisition is the process of collecting data or information from various sources, including sensors, software, hardware, or humans, for use in analysis or decision-making. The purpose of data acquisition is to collect data that is accurate, reliable, and useful for further analysis or decision-making. In introducing the concept of data acquisition, acquisition introduction training was conducted for the teaching staff. Data acquisition training covers the process of transferring data from sensors to Google Sheets. For teaching staff at SMK Negeri 2 Banda Aceh, the use of Google Spreadsheets is still too common. Therefore, the community service team successfully carried out training activities on Wednesday, April 13, 2022. The training included an introduction to the ESP8266 microcontroller, then continued with the introduction of Google Spreadsheets, taught how to assemble hardware in the form of DHT11 sensors and ESP8266 microcontrollers, and carried out the process sending data as well as storing data on Google Sheets. This activity has a positive impact on improving the ability of teaching staff and indirectly can be applied in teaching materials or applied in everyday life.
Pelatihan Internet of Things Berbasis Embedded System untuk Meningkatkan Kompetensi Penelitian Mahasiswa Teknologi Informasi Away, Yuwaldi; Novandri, Andri; Raziah, Isyatur
Kawanad : Jurnal Pengabdian kepada Masyarakat Vol. 5 No. 1 (2026): March
Publisher : Yayasan Kawanad

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56347/kjpkm.v5i1.390

Abstract

The rapid advancement of Internet of Things (IoT) technology requires Information Technology students to go beyond theoretical understanding and develop hands-on technical skills in building functional real-world systems. This community service activity aims to strengthen students' research competence through integrated training on Embedded Systems and IoT. The implementation approach encompasses theoretical instruction on foundational concepts, hardware familiarization, and direct practice in programming and system integration. Training materials cover the use of the ESP8266 microcontroller, temperature and humidity sensors (DHT22), voltage and current sensors (INA219), the Node-RED platform, and Cloud Server-based databases. Data transmission was carried out using an internet-based communication protocol, while Node-RED served as the primary platform for data flow management and real-time dashboard visualization. The outcomes demonstrate measurable improvement in participants' ability to design remote monitoring systems, perform real-time data visualization, and apply datalogging techniques. These competencies are expected to support the quality of undergraduate final research projects and technology-based innovation initiatives relevant to current societal needs.