Home security system is a term to describe a system of protection for residents in the environment and its surroundings from the interference of crime. A house has been equipped with high technology and can be connected to the security equipment in the house. Home security is made in order to create security, comfort and safety for residents of the house and can maintain the security of the environment without monitoring. Home security can be operated via a microcontroller and a mobile device. Home security in Indonesia is currently classified as very important, this is because the crime rate is increasing every year. The development of home security has been carried out using various existing technologies, such as the nodemcu microcontroller, which is a hardware platform intended to create prototypes of interactive electronic equipment based on flexible and easy-to-use hardware and software.
This research was conducted to produce a simple home security system by utilizing nodemcu technology and a combination of sensors and an ESP32 cam as a medium to be able to run sensors and home security cameras. This research was conducted by conducting a literature study, exploring the technologies used, as well as the concept of mobile-based software development. The next step is to define requirements, analysis, design, and implementation (programming and testing the system that has been built).

Integrating Big Data and Edge Computing is revolutionizing the efficiency of artificial intelligence (AI) systems, particularly in applications requiring real-time responses. This study explores the synergistic role of these technologies in two critical sectors: autonomous vehicles and healthcare. Using a case study approach, real-world datasets and simulation platforms were employed to evaluate improvements in latency, prediction accuracy, and system efficiency. Key findings reveal that Edge Computing reduces latency by 30%, with response times dropping from 150 ms to 105 ms in autonomous vehicles and from 200 ms to 140 ms in healthcare applications. Additionally, leveraging Big Data for AI training enhanced prediction accuracy by 15% for traffic pattern recognition and 12% for patient condition monitoring. Despite these advancements, challenges such as scalability, data security, and interoperability persist, necessitating robust infrastructure and end-to-end encryption solutions. This research highlights the transformative potential of combining Big Data and Edge Computing to optimize AI systems for real-time applications, offering insights into improving operational efficiency and predictive accuracy. The findings are expected to guide future developments in AI technologies, particularly in the context of expanding 5G networks and growing demand for real-time data processing.
 

In carrying out television broadcast production, the activity organizer has a very important role. Good cooperation between personnel in this system is very necessary to achieve the desired broadcast production. The implementation of television broadcast production has a production working group. The production work group is a work unit that will handle production work together until the production is declared ready for broadcast. The work groups in television broadcasting include: Production/Broadcast Work Unit, Public Facilities Work Unit, Technical Operator Work Unit, Technician Work Unit.

Technological developments within a company are needed in the execution and evaluation of all existing jobs so that the work becomes fast, precise, and accurate. Puspita Farma Pharmacy is one of the community service businesses engaged in the sale of medicines. The high level of service to the community causes errors in processing and making reports which are still done manually.
The process of recording goods report data using two kinds of record books, namely a daily goods order book, a daily goods sales recap book, and a record book for each purchase of goods. The use of this manual system found many obstacles that caused the work process to be ineffective and efficient, including errors in recording incoming and outgoing drug data, resulting in empty or excessive drug supplies and the discovery of expired drugs.
As a solution to the problems currently experienced by the Puspita Farma Pharmacy, it is necessary to create a drug inventory information system at the Puspita Farma Pharmacy. This information system was created using the PHP programming language, Mysql for databases and the Codeigniter framework for data processing.

This study uses the Markov Decision Model (MDP) to implement battery degradation and optimize battery use in Photovoltaic and the battery system model created. The battery optimization scheme for home loads uses the application of solar energy to optimally measure photovoltaic and battery capacity against each other. The different qualities of the standard used in this study are described starting from system characteristics and charge settings to an analysis of MDP and battery degeneration. Various systems undergo a list of analyses to implement awareness reasoning although developing battery volume and photovoltaic for the current system. The parametric span of cosmic and battery central tariff, the tariff of power worn taken away the framework, tariff of battery degeneration, time of year, photovoltaic generator size, battery size, and Health Status (SoH) of batteries were carried out to determine the optimal volume estimate and analyze the trade-offs essential in a mix scheme. This is then used to treasure trove the minimum amount of fee of the scheme with photovoltaic and battery application.
This study support decision of the essential sizing deliberation for photovoltaic and battery-managed home loads linked to the services grid. Insightful that the battery can be used more destructively, also it can be formed lower and run at a greater C speed. This study analyzes actual fog computing research tools and storage composition algorithms for fog computing and develops a fog computing monitoring framework to provide data for fog computing storage composition algorithms. The framework proposed in this study provides granular container virtual hardware resource information and black box monitoring of service layer information associated with microservices. Framework usefulness on Raspberry Pis and CPU overhead of framework tested.
The results of this study present the framework proposed could be used on single-chip microcomputers with relatively inadequate computational performance. In addition, a minimal effect on the battery degeneration system on the MDP decision due to the low system C-rate limit for the battery and interesting behavior of total fee and demand is also found. For future research, testing different maximum C levels should be considered to determine the photovoltaic size and battery system affected. Various battery optimization systems can be proved to check the benefit and disbenefits in the microgrid system case study. Lastly, collecting a scheme for actual-time reproduction to know how nice the operation is performing is the next stage of implementing MDP for battery management and system development.

By looking at current technological developments that already use automatic sensors, the application of the concept to this system can be a solution for dealing with ornamental fish farming owners. In this research, a tool is made that can perform feeding, checking temperature, water turbidity, feed level, water level and water pump control, from this information will be sent to android by firebase automatically monitored and controlled anywhere via android. This tool is designed with ease of maintenance and is an extension of the existing tools. IoT technology is used to monitor online, based on Firebase and Nodemcu Esp8266. In this study, researchers used the research method of the Borg and Gall (1987) model from 10 steps to 6 steps. The results of this study were carried out by an expert validation test to get a value of 30 which means "Very Good (Valid)". While the effectiveness test by 10 users plus by experts and employee users get a total score of 35.16 which means the effectiveness test is classified as "Very Good (Valid)" it can be said that the new system is more effective than the old system.

Abstract E-Government is a tool to improve relations with the community, now the development of E-Government in various world governments are monitored directly by the UN through the United Nations E-Government Survey. This monitoring uses the framework where in this EGDI there are 3 factors considered: Online Service Index, Telecommunication Infrastructure Index and Human Capital Index. But the determination of EDGI status is less accurate because it must be based on knowledge and processing of the number of existing data so that required a calculation that applies clustering method with data mining techniques. Kmedoids using clustering techniques, capable of producing optimal Bouldin Index values and this study also determines the medoid distance calculation to obtain optimal algorithm, the value obtained from Bouldin Index on the Chebyshev K-medoids method 0.593. Thus, the optimal clustering scheme with distance ratio is the minimum index value of K-medoids Chebyshev.

Jl Karanglo RW 03 Pedurungan Semarang is a densely populated environment, its people are very hungry for fast and accurate information. The internet is available which is relatively expensive as the main choice in finding the information needed. However, the cost is very expensive for a connection that must be paid every month. Although currently many CDMA and GSM modems available on the market are not enough to meet the need for speed of an internet connection. Although there are internet cafes established, they have not streamlined the cost and time of internet users in the area. The purpose of this study is to save the cost of bandwidth rental per month for unlimited connections, provide a stable internet connection that can be used for 24 hours straight, provide data transfer with bandwidth management, so as to better guarantee the quality of the internet connection. The system development method used is Prototyping which stages include identifying user needs, making a prototype, agreeing to the user, using a prototype. As a server, using Mikrotik Os where in Mikrotik Os there are several important and interesting features provided by Mikrotik itself, among those features are bandwidth management, firewall, DNS client chacing, and many other features provided by Mikrotik. With this Mikrotik provides stability of internet data transfer in accordance with the management of Mikrotik Os as a server. The client uses a Windows-based operating system, this is because the driver tool used is more compatible using a Windows operating system than using a Linux-based operating system, because it has to compile the driver.

Keamanan Parkir UIN Walisongo Semarang saat ini bisa dikatakan kondisinya memprihatinkan. Tingginya kasus kehilangan kendaraan bermotor menimbulkan kecemasan bagi civitas akademika. Sistem parkir yang tradisional yaitu melakukan pengecekan KTP di pintu keluar kampus kurang efektif. Oleh karena itu perlu adanya sistem keamanan parkir yang modern dan terkomputerisasi, sehingga aktivitas keluar kendaraan dapat terekam dan disimpan secara otomatis. Berdasarkan permasalahan tersebut, maka penulis merancang Sistem Keamanan Parkir berbasis WEB sebagai bentuk peningkatan keamanan parkir kampus UIN Walisongo Semarang. Dengan menggunakan teknologi RFID (Radio Frequency Identification) yang ditanamkan pada kartu identitas, yang nantinya dapat digunakan sebagai alat otentikasi pengetikan akan masuk dan keluar area kampus. Untuk memberikan keamanan ganda, terdapat Fitur Live Camera dengan basis website yang berfungsi sebagai alat untuk memonitor kendaraan yang sedang parkir secara real time. Keluaran dari tugas akhir ini adalah menghasilkan sebuah prototipe sistem keamanan parkir. Tidak hanya perangkat keras khusus, tetapi juga desain perangkat lunak Sistem pemantauan kendaraan secara langsung berbasis Web. Sehingga pengguna fasilitas parkir bisa memantau kendaraannya dimana.
 

This research was carried out by comparing the DS18B20 sensor and the MLX 90614 sensor to detect the accuracy of detecting human body temperature which is used to detect Covid 19 symptoms. In this experiment, 10 trials were carried out with different human segments detected using the sensor. In the experiment, it was found that the MLX90614 sensor is more suitable to be used for development with an IoT-based system because it does not need to come into contact with the skin of the human body. The MLX90614 sensor will detect the temperature and change it to one Celsius unit then send it to the firebase database which will then be picked up by the android application which is held by the security officer so that the temperature can be known remotely. When the temperature is more than 38.5 Celsius it will turn on the buzzer sound which can be heard from a distance which indicates the temperature is above 38.5 Celsius and on android will also display a danger sign