Rancang Bangun Sistem Smart Door Lock Menggunakan Mikrokontroler Esp32 Berbasis Internet Of Things (Iot) dan Smartphone Android

This study aims to design and build smart door lock system using Microcontroller ESP32 based on Internet of Things (IoT) and Smartphone Android which will be installed in one of the study rooms at Pahlawan Tuanku Tambusai University using the Quality Function Deployment (QFD) method which aims to identify and meet the needs and desires of consumers for the resulting product or service. This smart door lock is specially made to improve the security system more optimally, and transforming the use from manual door locks to smart door locks that more ergonomic in following technological developments and advances and expanding the use of internet networks in the field of security systems. The process of manufacture smart door locks based on consumer desires using the QFD method which has been processed using the house of quality (HoQ). it can be seen that the percentage of the highest value or priority for product attributes is “Control the smart door lock system using a smartphone” with a value presentation of 5,643%, followed by “Access the smart door lock using the internet network"with a value of 5,479%, Then on the third priority, “Smart door lock system accurately accepts input commands” with a value of 5,226%. Smart door lock product specifications based on the voice of customer statement are that in the main function of the smart door lock system can be controlled using a smartphone with blynk application control software via the internet network, then to meet the wishes of consumers provided wifi module on system components, or the durability of the door lock lever (solenoid) made of steel coated with stenliss so that it is not easily break in, as well the aesthetics (design) of smart door locks using PVC Box as a hardware display, and equipped with alarm as indication of sound when the smart door lock system is successfully accessed

Pendeteksi Kehadiran menggunakan ESP32 untuk Sistem Pengunci Pintu Otomatis

The design of the detection system in this study using ESP32 module that includes Wi-Fi: 802.11 b / g / n and Bluetooth: v4.2 BR / EDR and Bluetooth Low Energy (BLE). In general, the automatic door lock system using a fingerprint or RFID card in its implementation, but this study using BLE which is a component of iBeacon which has a function as a result of the fingerprint and RFID card. ESP32 have a duty to control the door lock in order to open and lock the door using relays and solenoid system, in addition to the BLE on ESP32 serves to detect the presence of individuals where Bluetooth Device Address (BD_ADDR) smartwatch or individual gadget is already registered on ESP32. Based on the experimental results, the system can detect a user's presence smartwatch on the Received Signal Strength Indicator (RSSI), which is determined on the program was uploaded to ESP32. This system can also be developed in the future and applied to a variety of special purposes such as absenteeism, indoor mapping, and smart home

APLIKASI RFID PADA SMART ROOM SYSTEM BERBASIS MIKROKONTROLER ATMega 8535

ABSTRACT Application of RFID smart room system based on microcontroller ATMega 8535 Novri Lena The report titled " Application of RFID smart room system based on microcontroller ATMega 8535” as Controller doors, lamp and fan. The main purpose of this final project is to study how the principle of the RFID and microcontroller functions in the circuit so as to control the output of the doors that will open and close, lights and fan will be ON and Off. How it works is the series of smart room when the room users who have registered to use the card then the card closer to the RFID reader. Then the card will open the next door room after room door open so the user can enter the spatial and then the user to lock the door of the room should use the same card to lock the door of the room, then the user can use the same RFID to activate a light load and light will remain lit and to turn off the lights then the user must hold the same card on the RFID reader. To turn on the fan then the user space using RFID for a second and then turn off the fan should be detected again. If the user room out of the room and wants to open the door then use the third card as the door opened after a few seconds later the door will be locked. Key Word: RFID, microcontroller ATMega 853

IoTSan: Fortifying the Safety of IoT Systems

Today's IoT systems include event-driven smart applications (apps) that interact with sensors and actuators. A problem specific to IoT systems is that buggy apps, unforeseen bad app interactions, or device/communication failures, can cause unsafe and dangerous physical states. Detecting flaws that lead to such states, requires a holistic view of installed apps, component devices, their configurations, and more importantly, how they interact. In this paper, we design IoTSan, a novel practical system that uses model checking as a building block to reveal "interaction-level" flaws by identifying events that can lead the system to unsafe states. In building IoTSan, we design novel techniques tailored to IoT systems, to alleviate the state explosion associated with model checking. IoTSan also automatically translates IoT apps into a format amenable to model checking. Finally, to understand the root cause of a detected vulnerability, we design an attribution mechanism to identify problematic and potentially malicious apps. We evaluate IoTSan on the Samsung SmartThings platform. From 76 manually configured systems, IoTSan detects 147 vulnerabilities. We also evaluate IoTSan with malicious SmartThings apps from a previous effort. IoTSan detects the potential safety violations and also effectively attributes these apps as malicious.Comment: Proc. of the 14th ACM CoNEXT, 201

The Application of Fuzzy Logic Controller to Compute a Trust Level for Mobile Agents in a Smart Home

Agents that travel through many hosts may cause a threat on the security of the visited hosts. Assets, system resources, and the reputation of the host are few possible targets for such an attack. The possibility for multi-hop agents to be malicious is higher compared to the one-hop or two-hop boomerang agents. The travel history is one of the factors that may allow a server to evaluate the trustworthiness of an agent. This paper proposes a technique to define levels of trust for multi-hop agents that are roaming in a smart home environment. These levels of trust are used later to determine actions taken by a host at the arrival of an agent. This technique uses fuzzy logic as a method to calculate levels of trust and to define protective actions in regard to those levels

RANCANG BANGUN PROTOTYPE SMART HOME DENGAN KONSEP INTERNET OF THINGS (IOT) MENGGUNAKAN RASPBERRY PI BERBASIS WEB

High economic growth makes the demand for comfortable and safe houses increase and the application of technology that is most clearly seen is technology with automatic systems. With this technology, the use of electricity in the house can be minimized and offer convenience in controlling the house. Sometimes homeowners forget to turn off the lights when they are outside the house so they have to go back and do checks that are very inefficient both in terms of time and financially such as the cost of gasoline to return to the house. Based on this, the Smart Home Prototype was created with the concept of the Internet of Things (IoT) using Raspberry Pi Web-Based, which is a system that can remotely control electronic home appliances using Raspberry Pi as a base system, which is connected to Web Applications through the internet network. The electronic equipment used in this study is in the form of 5 lamps, 1 stepper motor to control the garage, 1 servo motor to control the door lock, and 1 brushless motor that functions as a fan. Blocking and overall test results on Bedroom Lights, Living Room Lights, Kitchen Lights, Bathroom Lights, Porch Lights, Garages, Door Locks, and Fans, all work well. The testing of the distance between cities against the Prototype Smart Home was successfully carried out, where the Prototype Smart Home in the City of Demak was successfully controlled by the User who at the time of testing was in the City of Semarang, Kudus, Japan, Surabaya, and Jakarta