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Journal : CogITo Smart Journal

U-MATE : Student And Lecturer Location-Based Social Network Aplication Tombeng, Marchel Thimoty; Mandias, Green F.; Putra, Edson Yahuda
CogITo Smart Journal Vol. 10 No. 2 (2024): Cogito Smart Journal
Publisher : Fakultas Ilmu Komputer, Universitas Klabat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31154/cogito.v10i2.714.352-365

Abstract

Students are individuals who pursue higher educcation, have an important role as agents of change and future leaders in various sectors. They are required to actively learn, participate in academic and social activities, and develop critical and innovative thinking. Interactions between students, both with peers and lecturers, play a crucial role in shaping the learning experience on campus. Student interactions with lecturers also have an impact on learning motivation and the lecture experience. The importance of these interactions prompted the researcher to design an application specifically for the campus environment. The app features chat, add friend, and find mate to expand students' social interactions. The find mate feature allows students to find friends randomly, while the maps feature makes it easier for them to find the location of their lecturers and friends in real-time. By integrating the concept of Location-Based Social Network (LBSN), this application is expected to reduce the level of academic stress and improve the quality of interaction among students and with lecturers. Through this application, students can more easily find friends and lecturers, and share locations in real-time. The questionnaire results from Klabat University students showed the need for this kind of application
Prototype of IoT-Based Temperature and Humidity Monitoring and Controlling System for Broiler Chicken Coops Lengkong, Oktoverano; Tombeng, Marchel Thimoty; Tasidjawa, Jeniffer Linda; Birahy, Brian Gustaf
CogITo Smart Journal Vol. 11 No. 1 (2025): Cogito Smart Journal
Publisher : Fakultas Ilmu Komputer, Universitas Klabat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31154/cogito.v11i1.866.15-26

Abstract

Temperature and humidity are critical factors that influence the health and productivity of broiler chickens. Manual monitoring and control of coop conditions are often ineffective and inefficient, leading to a decline in production quality. This research aims to develop a prototype IoT-based monitoring and controlling system for temperature and humidity in broiler chicken coops. The system employs a DHT22 sensor to measure temperature and humidity, a Wemos D1 R1 microcontroller for data processing, and the Blynk application as a user interface for real-time monitoring and notifications. The Evolutionary Prototyping method is applied in the development of this system to allow gradual adjustments based on user needs. Testing results show that the prototype can monitor temperature and humidity in real-time and automatically activate fans or lights when the temperature is outside the optimal range. With this system, farmers can monitor coop conditions remotely, simplifying farm management.