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All Journal Antivirus : Jurnal Ilmiah Teknik Informatika Journal of Comprehensive Science
Dwi Romadhona, Rizki
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Computer Science & IT Economics, Econometrics & Finance Electrical & Electronics Engineering Languange, Linguistic, Communication & Media Library & Information Science

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ENVIRONMENTAL SENSING SEBAGAI INFORMASI SUHU, KELEMBAPAN, DAN GAS BERBASIS IOT MENGGUNAKAN ESP 32 Dwi Romadhona, Rizki; Faried Rahmat , Mohammad; Nugroho, Viery
Antivirus : Jurnal Ilmiah Teknik Informatika Vol 18 No 2 (2024): November 2024
Publisher : Universitas Islam Balitar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35457/antivirus.v18i2.3973

Abstract

Current weather conditions in technological developments and climate change are a challenge to create safe and suitable conditions for carrying out activities both outdoors and indoors. The impact of climate change is that the research aims to create a monitoring and awareness system in work environment conditions and teaching and learning activities at the tertiary level. Objective: By utilizing technology that is currently mushrooming, such as IoT, to increase awareness of the importance of temperature, humidity and air quality in a room for teaching and learning activities and other activities in order to create a healthier work environment. Method: The method used is a wireless sensor network where sensors will read physical changes that occur such as methane and LPG gas anomalies, as well as changes in extreme temperature and humidity. Then the data that has been read is sent via ESP32 with an internet network connection to Blynk Cloud as universal monitoring between users and a personal dashboard which is used as a server to track history. Results: the results obtained with a sampling data collection period of approximately one hour, the condition of the room used for testing the DHT 22 sensor, and MQ2 indicated that there was no methane gas, or LPG contained in the room, indicated by ppm <300, as well as changes in temperature which were relatively stagnant did not occur in extreme changes where the average temperature obtained was 26.5˚C. The results from the humidity sensor showed that the room humidity was an average of 77.8%. These results can be interpreted as meaning that the room is still in a safe and comfortable condition for carrying out activities.
Prototype Alat Pengaman Lemari Penyimpanan Barang Menggunakan ESP32 Cam Berbasis IOT di Yayasan Panti Asuhan Ar Rohmah Blitar Nadiyan Ishom Abu Sahal, Ahmad; Wulansari, Zunita; Dwi Romadhona, Rizki
Journal of Comprehensive Science Vol. 3 No. 11 (2024): Journal of Comprehensive Science (JCS)
Publisher : Green Publisher Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59188/jcs.v3i11.2889

Abstract

Security is the most important thing in our lives that can provide comfort and a sense of security for something we own, whether it is in the form of valuable items or documents that we store and protect from irresponsible individuals or other parties who have bad intentions in this research. aims to design, build and test security equipment for storage cupboards using IoT-based Esp32 cam at the Ar Rohmah Blitar orphanage foundation to improve security at the Orphanage Foundation in the goods storage cupboard sector. This research was conducted at the Ar Rohmah Blitar Orphanage Foundation in the Sananwetan area of Blitar City, starting from December 2023 to July 2024. In this research, researchers used the Research and Development (RnD) research method. This research produces an IoT-based foundation cupboard security device. The design of the tool begins with designing a series of tools, then continues with creating a Telegram Bot as a user interface and a program for the Esp32 Cam microcontroller as a tool for locking and securing cabinets. Then it continues with the tool testing stage carried out by researchers, experts and users. From testing carried out by researchers, an accuracy value of 81% was obtained in the "Very Feasible" category, while testing by experts obtained an accuracy value of 72% in the "Eligible" category, while testing by users obtained an accuracy value of 88% in the "Very Eligible" category.
Co-Authors Faried Rahmat , Mohammad Nadiyan Ishom Abu Sahal, Ahmad Nugroho, Viery Wulansari, Zunita