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Journal : J-SAKTI (Jurnal Sains Komputer dan Informatika)

Rancang Bangun Aplikasi E-Learning Berbasis Progressive Web Apps Untuk Menunjang Pembelajaran Online dengan Metode Prototyping Dini Agnia Hardianty; Indra Yustiana; S Somantri
J-SAKTI (Jurnal Sains Komputer dan Informatika) Vol 6, No 2 (2022): EDISI SEPTEMBER
Publisher : STIKOM Tunas Bangsa Pematangsiantar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/j-sakti.v6i2.487

Abstract

Covid-19 pandemic has an impact on the Indonesian education system which makes the learning process from offline to online. This is what prompted Hayyatan Thayyibah High School to create an E-Learning application to support the online learning process, apart from being used for online learning, the Hayyatan Thayyibah High School E-learning application was also used to share information and take attendance for reading the Qur'an (Tallaqi). The E-Learning application was built using the Prototyping method, from the results of usability testing, an average score of 80% showed that the application could be used well by students and the teacher.
Rancang Bangun Aplikasi Pendeteksi Tingkat Kepekatan Asap Hasil Pembakaran Berbasis Internet of Things S Somantri; Ivana Lucia Kharisma; Nadila Angelina
J-SAKTI (Jurnal Sains Komputer dan Informatika) Vol 7, No 2 (2023): EDISI SEPTEMBER
Publisher : STIKOM Tunas Bangsa Pematangsiantar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/j-sakti.v7i2.680

Abstract

The objective of this study is to develop and construct an Internet of Things (IoT) system(Internet of Things) application for detecting the concentration level of smoke resulting from combustion. The current advancement in technology has had a significant Significant influence across a range of domains, encompassing the realm of Internet of Things (IoT). The IoT network allows devices to interact and exchange information automatically, enhancing efficiency and security in various sectors. Early detection of smoke is crucial for preventing further damage and protecting human health. Therefore, this research utilizes MQ-135 and TGS 2600 sensors as smoke detection sensors. Through IoT, real-time measurement of smoke concentration can be achieved, enabling immediate actions in response to significant changes. The data collected through IoT can to enhance effectiveness, the information can be stored within a database and efficient research. By implementing this application, it is expected to provide a better solution for automatic detection and monitoring of smoke resulting from combustion, reducing air pollution risks, and enhancing human safety.