An increasing number of crimes in society make people want to take advantage of technological developments to improve their safety and comfort. This paper research the possibilities to made house secure and comfort by using internet of things (IoT) to control and monitor also well known as smart house. This paper using NodeMCU ESP-12E for the IoT controller and smartphone for user to control and monitor house environment. The results shows that the system designs for smart home are promising. The sensors response time for average response time is 2.52 seconds for solenoid door lock, the average responses time for motion detection testing is 2.30 seconds, the average response time for first lamp is 3.71 seconds and 4.37 seconds for second lamp, the average response time is 1.74 seconds for LPG gas leakage, the average response time is 2.59 seconds for front terrace and 2.17 seconds for back terrace.
Maximizing zakat is one of the endeavors of the Indonesian government in alleviating poverty. However, the manual procedures used in the zakat management system are a hindrance because it takes too long to process data collection and distribute received zakat funds. The purpose of this research is to develop a zakat-recording application that is automatically and continuously synchronized across all user interfaces. Therefore, it can aid in ensuring that the worthiest or Mustahik are properly receiving zakat from the Muzakki (zakat payers) and that all transactions are legitimate. The research procedure used was the development of the Extreme Programming (XP) approach. The number of research subjects involved was 255 people, consisting of zakat ambassadors, group managers, area managers, local committees (called Panzisda), regional committees (called Panziswil), and institutional committees. With the assistance of the User Experience Questionnaire (UEQ), an evaluation of the newly developed system was performed. The findings of the evaluation of the system development demonstrate that users have provided satisfactory evaluations on several characteristics, including attractiveness (1.72), accuracy (1.75), efficiency (1.55), dependence (1.50), stimulation (1.72), and novelty (1.03). All of the data indicates positive evaluation results, which means that the developed application can be utilized to facilitate the process of zakat data recording and verification.
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