This project proposes a simulation model of intelligent parking system that has the ability to search for vacancies in the building or parking through mobile phones using voice command. The purpose of this project is to be convenient and quick in searching for parking spaces and to count the number of car entering park area each day. The developed system uses the NodeMCU ESP8266 microcontroller to detect the vacancy status and count the number of users of the parking lot using infrared and ultrasonic sensors. The collected data will be sent to Firebase database. For voice command system it is developed by using Dialogflow to create ChatBot and connect with the Google Assistant. Users can interact using voice to search the vacancy in parking area directly. From the experiment it is found that the developed parking lot system can display the vacancies correctly. When increasing the number of cars into the parking lot the system can display the status that has changed correctly. Moreover when inquiring for parking the system can find the nearest vacancy for user. In the future there are plans to develop additional equipment and implement the proposed system in real locations.

This project aims to create the model of fire protection system for the kitchen. The model installed of protection and notification systems was created by using the Google SketchUp program with a ratio of 1:10 from the real kitchen scale. According to the literature it was found that more than 50 % of the fire within the shelter occurred in a kitchen. The main causes are flame heat sparks and electrical equipment. The system was developed to detect flame gas and smoke by using infrared sensor (IR FLAME) and gas detection device (MQ-2). Arduino MEGA2560 is a central processor to control the device of the protection system. Node MCU is a data receiver with Arduino to display the average amount of gas flame through the Blynk application in real time and send notification via the Line application when the amount of either flame gas or smoke is greater than or equal to the specified quantity. Fire protection system is divided into 3 conditions: fire gas and smoke. In case of fire the sprinkler will be activated with class K extinguishers to extinguish fire. In gas leakage conditions ventilator will be activated to ventilate the gas leaks and the gas supply is cut off. For smoke condition the ventilator will be activated to ventilate the smoke out of the kitchen. The results of the experiment by using the method of dividing into 13 simulations in total. The system can detect the flame with 12 points 92% from 13 points. In case of gas a can of gas was used in all tests. Nine points of gas can detect with 69% of the total 13 points. The smoke detector can capture smoke with a large amount of smoke. There are a total of 13 tests that can capture 11 smoke points representing 84% of all 13 points.

The purpose of this research was to develop bagasse packaging antagonizing fungi with turmeric extract for Green Cos Lettuce cultivation. The bagasse package would incorporated with fungistatic turmeric extract instead of using chemicals at concentrations 0 5000 10000 15000 and 20000 ppm. The packaging characteristics efficiency of turmeric extract and the growth of Green Cos Lettuce determined into the percentage of germination height measurement fungi contamination characteristic were tested under the presence and absent antifungal bagasse The plant seedling spreading onto the surface of the packaging with turmeric extracts could be excelled for -their growth with the induction of germination rate of 92-97 percentages. Turmeric extracts at concentrations of 15000 and 20000 ppm had also expel the emergence of Penicillum sp. inhibit Rhizopus sp. and slow down Colletotrichum sp. Moreover the turmeric extract caused packaging decaying by itself slowly possibly helping in common airborne mold prevention. This green safe material showed the respectably effective for Green Cos Lettuce seedling especially for the fungal pathogen contamination during implantations. This research based on using natural extracts and natural fibers from agricultural waste is thus being ecofriendly nonchemical application of packaging product with easily digested for decent consumers who love their health and care environment.

This research studied the efficiencies of ceramic membrane filtration from industrial asphalt for dyeing wastewater treatment by forming a ceramic membrane in a diameter of 6 cm height of 2 cm. An appropriate proportion of industrial ashes: kaolin: sodium hydroxide solution mixed with sodium silicate solution was 46:18:36 at 800 ° C. For the properties analysis of ceramic membrane made from industrial ashes found that a shrinkage value compression resistance and density water absorption value and permeate flux were found 3 percents 0.6 Kilonewtons per cubic centimeter and 1.93 grams per cubic centimeter 45 percents 8.61 milliliters per square centimeter per minute respectively. Structural surface by a scanning electron microscopy was found that the porous inside of material was closely aligned together. Moreover precipitation of synthetic wastewater by using industrial ashes could help to increase the efficiencies of dyeing wastewater treatment. From the experiment it was found that the precipitation of synthetic wastewater with industrial ash was 94 percent filtration efficiency. On the other hand the efficiencies of synthetic wastewater treatment without precipitating of industrial ashes found only 69 percent. Moreover this research offers a new option for industrial wastes utilization.

This research has studied the treatment of municipal wastewater with shoe soles as a supporting media for Sequencing Batch Reactor. The objectives of this research were the conditions to for optimize growing Photosynthetic Bacteria (PSB) and understand the treatment efficiencies of municipal wastewater treatment with PSB in Sequencing Batch Reactor (SBR). Three types of shoe soles were applied in this research composed of rubber shoe soles neoprene and EVA and the control without shoe soles. The experimental factors included the essential parameters such as BOD COD SS MLSS MLVSS Phosphorus and Ammonia-Nitrogen. F/M Ratio was adjusted at 0.13 and hydraulic retention time (HRT) was at 5 days. The results indicated that the removal efficiencies of SBR with rubber shoe soles in terms of BOD COD SS phosphorus and ammonia-nitrogen were 87% 80% 94% 53% and 68% respectively. The removal efficiencies of SBR with Neoprene shoe soles in terms of BOD COD SS Phosphorus and Ammonia-Nitrogen were 89% 81% 95% 20% and 73%. The removal efficiencies of SBR with EVA shoe soles in terms of BOD COD SS phosphorus and ammonia-nitrogen were 91% 86% 95% 56% and 74%. The removal efficiencies of SBR without shoe soles in terms of BOD COD SS phosphorus and ammonia-nitrogen were 84% 79% 93% 86% and 67% respectively. The treated wastewater was rather clear low content of suspended solids and no malodor. From overall results the treatment of municipal wastewater by anaerobic sequencing batch reactor with different types of shoe soles was not significant for wastewater treatment efficiencies by anaerobic with any 3 types among of shoes soles can be efficiently applied for municipal wastewater treatment.