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Computers in one of the network companies at PT. Estrada uses the Fortinet operating system. The final result expected through this implementation is to comprehensively see the capabilities of the firewall on Fortinet in overcoming the problem of blocking social media applications and streaming platforms during working hours. Blocking the application in question is the ability to filter web processes such as Facebook, Instagram, YouTube, etc. In the tests carried out, web filtering was able to block applications on social media and streaming platforms, which proves that the performance of web filtering is quite good. In analyzing web filtering performance, use the office hour rule tool by carrying out the rule schedule in the Fortinet network and displaying all the information in detail. The final result obtained in the network application filtering simulation process using Fortinet is that every network sent cannot be entered (blocked) on both social media applications and streaming platforms.

This study discusses the design and development of an automatic safety system for a wood cutting machine using Arduino Uno, a PIR (Passive Infrared) sensor, and a servo motor as the main components. The system is designed to automatically stop the movement of the wood cutting machine when human motion is detected around the cutting area, thereby minimizing the risk of work-related accidents. The research method includes hardware design, microcontroller programming, and system response testing using two types of test objects: the human body and a wooden block. The results show that the system operates according to the programmed logic. When the PIR sensor detects human motion, the servo motor stops and the red LED lights up as a danger indicator. In contrast, when no human motion is detected, the servo motor continues to move normally and the green LED remains on as a safe indicator. The system’s average response time is 0.6 seconds, indicating a fast and accurate performance. Therefore, the designed system is considered effective and can serve as a prototype of a simple safety tool to enhance operator safety in wood cutting machines.

Power transformer theft, a pervasive issue disrupting critical infrastructure, necessitates the development of cost-effective and energy-autonomous security solutions. This paper presents the design and implementation of a detection-focused anti-theft framework that integrates a Raspberry Pi Zero W, camera module, and passive infrared (PIR) motion sensors powered by a solar system for continuous monitoring. The system is designed for remote, off-grid deployment, utilizing a headless Raspberry Pi powered by a 5V solar panel and power bank to ensure energy autonomy. Upon motion detection, captured images are processed on the edge device using OpenCV’s Haar Cascade classifier, optimized for upper-body detection to minimize false positives and verify human presence. Captured images are processed locally on the edge device using OpenCV’s Haar Cascade classifier to confirm human presence before an alert is sent to the mobile application, emphasizing real-time operation and low latency. Once an intrusion is confirmed, the images are saved locally and uploaded via the Secure File Transfer Protocol to a custom-developed Android application. The app provides a dedicated remote monitoring interface, enabling secure file transfer and system access, while providing users with immediate notifications and image management capabilities. The system emphasizes low power consumption, real-time operation, and low deployment cost. Tests over 200 triggered events under varied environmental conditions achieved 90% detection accuracy with an average latency of 4.5 s. Solar autonomy was maintained for approximately 24 h under normal operation. It is concluded that the integration of solar power, edge computing of images, and mobile monitoring provides a feasible, scalable, and financially viable framework for securing transformers, especially in resource-constrained environments.

This research focuses on the synthesis and characterization of the double salt copper(II) ammonium sulfate hexahydrate, Cu(NH4)2(SO4)2·6H2O. The study aims to obtain the compound in crystalline form and evaluate its properties through yield calculation, solubility testing, and Fourier Transform Infrared (FTIR) spectroscopy. The synthesis involved reacting copper(II) sulfate pentahydrate (CuSO4·5H2O) with ammonium sulfate ((NH4)2SO4) under controlled conditions, followed by crystallization. The process produced 10.84 grams of crystalline Cu(NH4)2(SO4)2·6H2O with an 86.23% yield, indicating efficient synthesis. Solubility tests showed that the crystals were polar, soluble in polar solvents like water and hydrochloric acid (HCl), partially soluble in ammonium hydroxide (NH4OH), and insoluble in less polar solvents like ethanol and chloroform (CHCl3). FTIR analysis confirmed the presence of functional groups such as O–H, N–H, and S–O stretching vibrations, supporting the proposed molecular structure. The findings demonstrate that Cu(NH4)2(SO4)2·6H2O can be efficiently synthesized, and its physicochemical properties align with theoretical expectations. This study contributes to the understanding of double salt synthesis and characterization, relevant for inorganic chemistry, material science, and potential applications in catalysis and coordination chemistry.

Pneumonia ialah penyakit Infeksi Saluran Pernapasan Bawah yang bersifat akut pada parenkim paru meliputi alveolus dan jaringan interential yang dikarenakan mikroorganisme seperti jamur, virus dan bakteri. Mikroorganisme yang masuk ke saluran pernafasan bagian bawah dapat mengganggu proses pernapasan serta membuat saluran pernapasan tidak berfungsi secara optimal, sehingga proses keluar masuk oksigen juga terhambat dan mengakibatkan gangguan pada pola napas. Beberapa permasalahan lain yang ditimbulkan dari pneumonia seperti adanya penumpukan sputum, otot bantu pernapasan, penurunan ekspansi thoraks dan juga nyeri dada. Dalam perawatanya, tenaga medis berperan dalam pemberian antibiotik selama 8 jam setelah pasien mengalami perawatan serta fisioterapi berperan dalam pemberian intervensi penyinaran Infrared, Chest physiotherapy, dan Myofascial release. Penelitian ini bersifat studi kasus yang mengangkat satu kasus pasien serta mengumpulkan data melalui proses fisioterapi. Intervensi fisioterapi dilakukan sebanyak 4 kali pertemuan di Rumah Sakit dr. Ario Wirawan, Salatiga dengan menggunakan Infrared, Chest physiotherapy yang meliputi Postural Drainage, Clapping, Vibrasi, Latihan Batuk Efektif, Pursed Lip Breathing dan Myofascial release. Setelah menjalani 4 kali terapi, diperoleh hasil kondisi pasien yang mengalami penurunan nyeri dada, penurunan tingkat sesak napas, peningkatan ekspansi thoraks, berkurangnya spasme otot bantu pernapasan dan retensi sputum.

Methane gas detection is crucial in the oil and gas sector to enhance safety and operational efficiency. This study examines the impact of three types of gas detectors—catalytic, infrared, and ultrasonic sensors—on accuracy and response time. The research was conducted at PT PHM's onshore and offshore sites to evaluate sensor performance in operational environments. A quantitative approach with direct field observation was used. Data were collected by measuring methane gas concentrations indicated by detectors, which were then compared to standard gas concentrations. Response times were recorded when the detectors were exposed to methane concentrations of 2.5% LEL until the alarm triggered at 40% of full scale. Data analysis was performed using descriptive statistics, homogeneity test, normality test, ANOVA, and post hoc tests. The results show that the infrared detector had a response time of 2.87 seconds with an accuracy of 0.218%. The catalytic detector had a response time of 8.91 seconds and accuracy of 0.489% and the ultrasonic detector had a response time of 6.15 seconds and accuracy of 0.842%. Overall, the infrared detector demonstrated the best performance in response time and is recommended for use at PT PHM.

Predictive Maintenance is a maintenance activity that focuses on monitoring equipment conditions in real-time and analyzing data to predict potential failures before they occur, allowing repairs to be made in a timely manner before major damage occurs. One of the methods used in predictive maintenance is "Infrared Thermography” or use of technology thermal imaging technology. In the context of predictive maintenance, thermography can be used to identify problems that are not visible to the naked eye, such as poor electrical connections, excessive heat buildup, or damage to components that cause heat leakage The purpose of this study was to determine the implementation of Predictive Maintenance with Infrared Thermography method on electrical equipment at PT PHM. The method used in this research is the observation method with primary and secondary data collection. The results showed that the implementation of predictive maintenance with the Infrared Thermography method on electrical equipment and systems at PT PHM was effective in helping the company avoid unnecessary costs and improve operational efficiency. Predictive maintenance allows companies to perform maintenance to identify potential damage before it occurs and can take preventive action so as to reduce repair costs, and operational productivity.

Traditional doors usually consist of a housing or padlock and a flip key to open it. Usually found on office or mall doors, doors can be made more practical. The door will open automatically if there is physical energy (stimulus) that moves it. For example, when someone wants to enter the room, the door will automatically open. Doors like this are designed using automatic control using embedded system equipment. This automatic door system can be designed using automatic control combined with PIR sensors and servo motors. In terms of input equipment, a PIR (Passive Infrared Receiver) sensor is used which will detect humans approaching the door. This PIR sensor will send a signal to the Arduino process unit which contains a microcontroller chip. This microcontroller will send the processed data to the servo motor, so that it can open or close the door automatically.

The tool that detects human movement has been designed with a passive infrared sensor based on Arduino ESP32 which can send messages via SMS to the ship's security system. This is the background to the need to improve the security system on ships. The aim of this research is to find out the movement in the ship's engine room. This system can find movements. This tool can detect a maximum distance of 6 m. This system consists of software and hardware that allows sensors to detect human actions. The software uses the C+ language program and is used on the Arduino ESP32. Press the switch to activate this device. A message will be sent to the owner's smartphone if there is movement. Methods and tool system design for applied scientific work that will be carried out using prototype research methods. Prototype research methods are used to produce certain products, and test their effectiveness. The results of the research in this applied scientific work are the level of accuracy of the PIR sensor which detects human movement at a maximum distance of 6 meters and sim800L as a message sender to Android. Beyond that the data is unreadable and invalid.

This research aims to design and build a tool for detecting and repelling pests on kale plants using Passive Infrared (PIR) sensors and Internet of Things (IoT) based pesticide liquid which can be controlled via the Telegram application. This system works by detecting the movement of pests using a PIR sensor, which then activates the mechanism for automatically spraying pesticide liquid to repel pests. Users can monitor and control this tool in real-time via Telegram, providing flexibility in plant monitoring. Data from sensors is sent to the IoT platform and integrated with Telegram to provide remote notifications and control. Test results show that this tool can detect the presence of pests with high accuracy and is effective in repelling pests from the kale plant area. It is hoped that the implementation of this tool can help farmers maintain the quality and quantity of their kale harvest in a more efficient and environmentally friendly manner.

The development of the automotive world to date has grown rapidly, especially two-wheeled vehicles. Large temperature changes in lubricating oil viscosity, even if the value is too low, will reduce the lubrication of engine parts, increase friction between metals, and cause engine parts to heat up quickly. Efforts to control and overcome excessive engine heat can replace mineral-based lubricating oils with environmentally friendly and biodegradable lubricating oils. The purpose of this study is to determine the effect of using a mixture of cooking oil and surfactants C64H124O26 and C42H80NO8P as engine lubricants on the power and temperature produced by motorized vehicles. The independent variables of this research are RPM variation and mixture of pure cooking oil with lecithin and polysorbate surfactant (2.5%, 5%, 7.5%). The dependent variables are engine temperature and power. The control variables of this research are testing at room temperature, 4 stroke 125CC matic vehicle, and Raw Material using Palm cooking oil. The test method uses an infrared thermo gun for temperature and Dyno test for the highest power test on the type of Cooking Oil + Polyosrbate 7.5% with an average overall power of 5.872, then for the lowest temperature on the type of Cooking Oil + Polysorbate 2.5% with an average value of 86.2ºC.

Truckloader (TL) is a tool that functions to move Fertilizer from the weigher (where the weighing and bagging process is) to the place of the pallet or to the place of the truck bed. Broadly speaking, this tool is in the Bagging 1B unit area. This truckloader has a digital counter, namely a counter which has the function of calculating fertilizer from the weigher to the truckloader. From this counter, this will later be used as a reference or comparison. In order to find out the amount of fertilizer on the pallet or entering the truck body, on the other hand it is also use it for the technician team as a reference for preventive maintenance and replacement of spare parts. So far, counter checking is done manually by visiting the field and seeing it in person. For this, the Internet of Things is needed so that work is more effective and easier for the monitoring process. By using Senesore infrared proximity as input to the Arduino Uno as an electronic circuit controller and running programs, 16x2 LCD as a display of instructions from Arduino, NodeMCU as a liaison between the microcontroller and Ubidots and to display digital data from Arduino. This counter tool will later be used to monitor the amount of fertilizer passing through truckloader via the Ubidots web. This system can display data on Arduino that can be viewed via the Ubidots web that has been made.

Since welding workshops are an unofficial industry, there is still a lack of effective implementation of occupational safety and health regulations in this field. Welders often experience eye hazards such as sparks, foreign objects, infrared and UV radiation. The purpose of this study is to describe how well welding workshop workers in Medan Tembung District comply with the use of personal protective equipment (PPE). This study uses a quantitative descriptive method. The results of data analysis for the Alpha Cronbach questionnaire trial in this study showed that the data met the requirements with a score of 0.928. Up to 55 welding workshop employees from all welding workshops in Medan Tembung District, Medan City participated in the total sampling of this study. After the descriptive analysis, the data is displayed as a frequency distribution.  According to the results of the study, of the 55 welding workshop employees who participated in the survey, 50.9% had a low level of knowledge. The majority of respondents (80%) have a negative attitude towards the use of personal protective equipment (PPE), and more than half (58.2%) do not use PPE in the workplace. The results of the data analysis show that the majority of employees ignore the need to wear personal protective equipment (PPE) in the workplace because they do not know it or have a negative attitude towards it. Thus, this study suggests that welding businesses need to provide complete personal protective equipment, and also educate on the importance of using PPE and the Government also needs to increase supervision for small and medium enterprises, especially in welding workshops related to occupational health and safety.

This Space Security System is a system that utilizes the existing Internet Network to monitor a room remotely or from a different location. With the aim of making it easier to limit employee access rights and monitor the presence of people in the room.So the author made a room security system tool using the Internet of Things (IOT) which was implemented at the Demak Regency Communication and Information Service. The way this system works is only employees who have access rights who can enter the room by attaching an RFID card to the RFID Reader sensor, and the way the PIR sensor works is to monitor human presence, when there is infrared or human emission it will send data to the web if it is in the room has people and the red LED lights up and the buzzer sounds, while the push button button is when the push button button is pressed the solenoid will open. By making this design, it will help improve room security at the Demak Regency Communication and Information Service, especially the Encryption Room

Burglary involves forced or unauthorized entry, which leads to damage or loss of property having monetary or emotional value and, more severely, puts lives at risk. The dire need for the safety of lives and properties has attracted so much research on burglary alert system using Internet of Things (IoT) technology. Most of the research focused on alerting the users of burglary attempts using any or a combination of two notification methods: SMS, call, and email. This study emphasizes three-mode notification that combines SMS, call, and email using the application of IoT technology in a burglary alert system, which uses a Passive Infrared (PIR) sensor for burglar detection to ensure that Homeowners or authorized personnel get alerts in events of imminent attempt to break-ins. The study also details the sensor integration with its supporting components, such as the central hub or microcontroller, buzzer, LED, and network interface in the development of the system. The software was developed to facilitate seamless integration with the hardware, ensuring timely and accurate event detection and subsequent alert generation using Arduino IDE programming language, a framework based on the C++ language. The system effected the 3-mode notification to ensure that users get notification in case of an imminent break-in since the failure of the three modes simultaneously is extremely rare. The system’s performance based on its responsiveness on the 3-mode notifications was evaluated, and an average of 83.56% responsiveness was obtained, indicating an acceptable response time.

Skin flap is a skin graft procedure that will repair damaged skin by removing the soft tissue underneath. Objective: to determine Physiotherapy management in the form of giving electro therapy (ultrasound and Infrared) and exercise. Methods: The research method includes a "case report" case study conducted on 1 male patient with a diagnosis of Stiffness wrist digiti 1-5 manus dextra hand function disorders, ec. Amputation of fingers manus dextra post flap). The measuring instruments used are using the Numeric Rating Scale (NRS) for pain scale, Wrist Hand Disability Index (WHDI) to measure functional activity ability, Gonimeter to measure joint motion scope, Manual Muscle Testing (MMT) to measure muscle strength, mitline to measure odema segment circumference. Results: After 3 times of therapy, the patient's assessment results were obtained, namely a significant change in the level of joint scope of motion, muscle strength, skin integrity, motion pain in the wrist and fingers of the right hand, and functional ability. Conclusion: This case study shows that the administration of electrotepsy and exercises in the case of Skin Flap of the thumb of the hand, proved to be effective.

Control and monitoring systems that use the Internet-of-Things (IoT) can be found in everyday life, for example, in smart home applications, smart transportation, and smart cities. IoT-based monitoring of environmental conditions both indoors and outdoors is generally carried out to reduce the risk of unwanted events. One example of an unwanted event is a fire. Fires can occur in houses, office buildings, rice fields, or forests. In order to help provide early warning of a flame that can cause a fire, this study aims to design and implement an IoT-based fire detection and warning system using the NodeMCU ESP8266 and a flame sensor. The sensor used is an infrared sensor that will detect infrared light radiation coming from a fire. The test results show that the system successfully detects the presence of fire up to 50 cm from the fire sensor and can be monitored via thinger.io. Additionally, notifications from thinger.io via e-mail and Telegram to users were successfully executed.

Di dalam maupun di luar ruangan tong sampah sangatlah di butuhkan untuk orang banyak untuk kebersihan lingkungannya. Dengan adanya tong sampah bisa terjaganya lingkungan yang asri dan udara semakin sejuk tanpa adanya sampah- sampah yang berserakan di mana- mana. Pada penelitian ini tong sampah dalam pengaktifannya akan di buat secara otomatis agar lebih mudah penggunaannya yaitu dilengkapi dengan sensor adjustable infrared dan gerbang logika dan dikontrol menggunakan IC L293D dan diteruskan ke motor stepper . tong sampah akan bekerja secara otomatis sehingga mempermudah manusia untuk membuang sampah pada tempatnya, dan lebih efisien dalam penerapannya.dari hasil pengujian didapat sistem bekerja dengan baik sesuai dengan harapan yang diinginkan. Disini peran sensor adjustable infrared sangatlah penting yang dapat mempengaruhi tingkat keberhasilan sedcara menyeluruh.

Penggunaan kendaraan otonom dengan sistem kendali jarak jauh sangat banyak sekali penggunaanya di era revolusi industri, salah satunya adalah teknologi pembacaan jarak perpindahan kendaraan dan kecepatan gerak kendaraan. Pembacaan jarak perpindahan pada kendaraan otonom dapat dilakukan dengan metode integral euler dan metode putaran roda, metode reinman dan lain sebagainya. Penelitian ini bertujuan menentukan pembacaan jarak dan perbandingannya pada kendaraan otonom menggunakan metode integral euler dan metode putaran roda. Penelitian ini berfokus pada perbandingan jarak perpindahan kendaraan otonom antara metode integral euler dengan metode putaran roda. Metode integral euler digunakan pada perhitungan jarak perpindahan menggunakan sensor inersia dengan menurunkan data percepatan. Metode putaran roda digunakan pada perhitungan jarak perpindahan menggunakan infrared sensor dengan menghitung jumlah pulse data yang terdeteksi dikalikan dengan variabel penambahan jarak setiap celah roda. Hasil dari penelitian menunjukkan bahwa penggunaan metode integral euler pada pembacaan jarak perpindahan lebih baik dibandingkan metode putaran roda pada percoroda kendaraan bergerak maju, mundur, ke kiri dan ke kanan dengan perbandingan eror 4.13625％ berbanding 6.845％.

Bell's palsy is a neurological disorder and disorder of the cranial nerve VII (facial nerve) in the temporal bone area that causes weakness or paralysis of the facial muscles around the stylomastoid foramen. The cause is not known to be vascular ischemia, viral disease (Herpes simplex, Herpes zoster), autoimmune disease, or a combination of these factors. The purpose of this study was to determine the effect of Physiotherapy Management in Bell's Palsy with Infra Red, Electrical Stimulation of Faradic Current and Exercise Therapy as modalities. The study was conducted at Bendan Hospital, Pekalongan City with descriptive analytic method in patients with Bell's Palsy condition. Methods of collecting research data using autoanamnesis and physical examination. The research instrument consisted of examining pain using the Visual Analogue Scale, muscle spasm with palpation, muscle strength using manual muscle testing, and functional activity using the Ugo Fisch scale. After therapy 1 to therapy 4 there was a decrease in pain from T1 = tenderness 4 to T4= tenderness 0. Increased facial muscle strength T1 = m. orbicularis oculi 3 to T4 = m.orbicularis oculi 5. Decreased muscle spasm T1 = m. frontalis 1, m. corrugator supercilli 1, m. zygomaticum 1, m. orbicularis oris 1, m. mentality 1 to T4 = m. frontalis 0, m. corrugator supercilli 0, m. zygomaticum 0, m. orbicularis oris 0, m. mentalis 0. The conclusion is Infra Red, Electrical Stimulation of faradic currents and Exercise Therapy can reduce pain, decrease muscle spasm and increase muscle strength on Bell’s Palsy Sinistra.