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In the increasingly advanced digital era, Cyber Public Relations (Cyber PR) plays a crucial role in shaping an image without distance limitations. By leveraging Cyber PR, Public Relations practitioners can unlock significant potential. As the body responsible for film approvals in Indonesia, LSFRI must manage its image effectively to foster public trust. This study investigates how Cyber PR is implemented in shaping the image of LSFRI through the Instagram account @lsf_ri. The research adopts a qualitative, descriptive approach, guided by Bob Julius Onggo’s (2017) Cyber PR theory. Data collection methods include interviews as primary data and documentation as secondary data. The results of this study indicate that LSFRI maintains constant communication by posting content daily, and every post on the Instagram account @lsf_ri is always consistent with LSFRI's values related to the film industry; LSFRI does not respond quickly to all questions or comments on its Instagram; Instagram @lsf_ri does not target its Cyber Public Relations audience to the global market; The interactive communication conducted by the @lsf_ri Instagram account is considered effective; LSFRI's Cyber Public Relations activities on Instagram do not always facilitate two-way communication. Based on the results of this study, it is hoped that Cyber Public Relations on the @lsf_ri Instagram account will respond to every question or comment made by its followers and develop partnerships with other international institutions on Instagram specifically.

Drainage is an infrastructure system designed to channel water from one place to another. This study is based on Article 2 of the Regulation of the Minister of Public Works of the Republic of Indonesia No. 12 of 2014 concerning the Implementation of Urban Drainage Systems. This research aims to analyze the drainage maintenance carried out by the Public Works and Housing Office (PUPR) of Pekanbaru City using Dhillon B.S’s asset maintenance theory, which consists of two main indicators: preventive maintenance and corrective maintenance. This study employs a qualitative approach with data collection methods including in-depth interviews and field observations. The results indicate that drainage maintenance in Pekanbaru City faces several challenges, such as budget constraints, low public awareness, a shortage of skilled labor, outdated infrastructure conditions, and the impact of extreme weather conditions. The findings suggest that the drainage maintenance efforts by the PUPR Office of Pekanbaru City still encounter numerous challenges, particularly in technical aspects and community participation. Therefore, it is necessary to increase the budget and develop more competent human resources in the field of drainage maintenance. Additionally, more intensive public awareness campaigns on the importance of maintaining drainage cleanliness and the enforcement of penalties for violators should be strengthened. The utilization of modern technology, such as sensors and drone-based monitoring systems, can also serve as a solution to enhance the effectiveness of drainage maintenance. With these measures, it is expected that the drainage system in Pekanbaru City can function more optimally and sustainably.

Mental disorder is a condition where a person considers himself/herself to be isolated from his/her surroundings, fails in his/her business, cannot control his/her emotions, and makes a person feel threatened, disturbed, or uncomfortable so that he/she changes his/her behavior, one of which is marked by sensory perception disorders of hallucinations. This case study aims to determine the effect of hallucination management with the implementation of reading the Qur'an on patients with unspecified schizophrenia in the Srikandi ward of Dr. Arif Zainuddin Mental Hospital, Surakarta City.: The design of this scientific paper uses a case study design. The subjects used were 5 (five) subjects. Data analysis was carried out by looking at changes before and after being given Qur'an reading therapy. The results of the application showed that after the implementation of Qur'an reading therapy, there was a decrease in signs of hallucination symptoms.  Qur'an reading therapy can help reduce signs of symptoms and manage hallucinations in patients with unspecified schizophrenia.  It is expected that nurses can provide psychiatric nursing care to hallucinatory patients by implementing the activity of reading the Qur'an consistently or repeatedly while undergoing treatment in the hospital and when returning home.

Biogas is a renewable energy source with significant potential to reduce dependence on fossil fuels. However, conventional biodigester systems still face several challenges in monitoring methane gas production. Therefore, this research aims to design and develop a biogas digester prototype equipped with a stirrer and an Internet of Things (IoT)-based sensor to detect methane (CH4) gas levels. The research methodology involves designing a biodigester with an automatic stirrer and an MQ-2 sensor that can detect methane gas levels in real time. The data obtained is transmitted via ESP32 and displayed on the Blynk application. The research results show that the designed system can increase methane gas production and allow remote monitoring. The conclusion of this study is that the integration of IoT technology in the biodigester system can improve production efficiency and safety in biogas utilization.

Background: Morbus Hansen or better known as leprosy is a chronic infectious disease caused by Mycobacterium leprae which can affect the skin, nerves, respiratory tract, and other body tissues. Objective: the effectiveness of physiotherapy intervention in patients with drop foot e.c. morbus hansen in the form of active ROM exercises, strengthening and sensory stimulation. Method: this study uses a case study approach in patients with drop foot e.c. morbus hansen taken from RSUD Sumberglagah Mojokerto. Results: the provision of strengthening interventions increased muscle strength after 8 therapy sessions on the left plantar flexion movement from a value of 3 to 4, active ROM workouts also increased Range of Motion (ROM) after 8 therapy sessions in the sagittal plane of the left dorsi flexion movement from 20° to 35°, decreased tenderness in the left foot area after 8 therapy sessions from a value of 4 to a value of 1 and increased sensory on both soles of the feet on the left lateral and deskra inferior medial sides. Conclusion: Based on the research of the case study of droop foot ec morbus hansen, it shows that the intervention of ROM exercises, strengthening and stimulation of sensibility produces good results even though there are several aspects that have not shown significant results.

This study aims to analyze the effect of body angle variations on propulsion force, drag coefficient, and freestyle swimming performance using a biomechanical approach. Movement efficiency in swimming plays a crucial role in improving athlete performance. This study employed a quantitative experimental design with university or club-level swimmers with at least three years of training experience as subjects. Subjects were selected through purposive sampling with the criteria of being healthy, familiar with freestyle techniques, and willing to follow the research procedures. The instruments used included 3D motion capture to record body angles and movement coordination, force sensors to measure propulsion force and drag coefficient, and a timekeeping system to calculate average speed. The body angle variations tested were 0°, 15°, and 30°, each with three replications. Data were analyzed using descriptive statistics to describe the mean, standard deviation, and data distribution, and comparative statistics (ANOVA or paired t-test) to compare performance between angle variations. The results showed that a 15° body angle provided optimal performance, with increased average speed and propulsion efficiency compared to 0° and 30° body angles. These findings confirm that body angle regulation plays a crucial role in reducing water resistance and increasing propulsion. The study concluded that a 15° body angle is the ideal position for improving freestyle swimming performance. Further research is recommended to expand the number of subjects, explore variations in other swimming strokes, and integrate physiological data for more comprehensive results.

The need for urban communities to consume vegetables is increasing. This has caused people to start cultivating vegetables using hydroponic techniques. However, due to their busy activities, they do not have enough time to monitor and control hydroponics, which must always be in ideal conditions. This paper designs and implements an Internet of Things-based monitoring system to help hydroponic owners monitor their hydroponics anywhere and anytime. The built system requires a monitoring device assembled using a NodeMCU ESP8266 microcontroller, a pH detection detector sensor, and a DHT22 temperature and humidity sensor. This system uses the Mamdani Fuzzy Logic algorithm to determine warnings to be displayed on the application interface when the water pH, temperature, and humidity are in certain conditions. The Mamdani Fuzzy Logic algorithm can interpret environmental data into a warning that humans can easily understand, even if they lack technical expertise. In addition to being able to help monitor, this system also allows owners to find out what elements need to be added or changed for their hydroponic place. Our evaluation results show that the defuzzification stage in the application has high accuracy, which is 99.92%, compared to Matlab’s results.

This study aims to analyze the effect of body angle variations on propulsion force and water resistance in swimmers through a biomechanical approach. This research is motivated by the importance of movement efficiency in swimming, where suboptimal body positions can increase drag coefficient, thus slowing down swimming speed. The method used is a quantitative experimental design, involving professional and semi-professional swimmers. Instruments used include a motion capture system to record body movements, force sensors to measure propulsion and water resistance, and biomechanical software to analyze force vectors and drag coefficient. The results show a significant difference in swimming performance based on body angle variations. At a 0° angle, the average propulsion force is 145.3 N with a drag coefficient of 0.92. At a 15° angle, the propulsion force increases to 162.7 N with the lowest drag coefficient of 0.78. Meanwhile, at a 30° angle, the propulsion force decreases to 150.1 N, and the drag coefficient increases to 0.88. These findings indicate that a 15° body angle is the most optimal position, as it minimizes water resistance and maximizes propulsion force, thus improving swimming movement efficiency. The implications of this study suggest that biomechanical approaches can be used to design more efficient swimming training programs. The findings are also beneficial for swimmers and coaches in developing more effective training strategies.

Alcohol (ethanol) is often used in food as a mixture to improve flavor or durability, but alcohol consumption can have adverse health effects and trigger psychoactive effects. This research aims to design a tool to detect alcohol content in food using Internet of Things (IoT) technology. This device is designed to be portable, uses MQ-3 gas sensor to detect alcohol content, and is equipped with a Web Server-based data storage system. In addition to alcohol content, this tool is also able to detect the humidity of food samples. The detection results are displayed in real-time through a digital interface, so users can easily access and analyze the data. With this system, it is expected that the public can more easily ensure the safety and halalness of the food consumed. The tool function test obtained the results of the tool working properly, then the tool suitability test using 95% and 70% pure alcohol, obtained results of 90% for 95% alcohol and 72% for 70% alcohol. and finally the suitability test using three food samples, with the results of 40% (food containing alcohol), 6% (food containing hidden alcohol), and 0% (food free of alcohol content).

Snack bar is a food product made from a combination of ingredients that are bound together by a binding agent. One type of snack bar is a protein bar. A potential primary ingredient for making high-protein snack bars is tofu dregs. "The protein content in tofu dregs is relatively high about 26.6% and has not been optimally utilized and often becomes waste and pollutes the environment. The production of snack bars can incorporate various ingredients, one of which is red beans. Red beans are a source of plant-based protein, containing about 11% protein. This research aims to develop a snack bar with the best formulation of red bean paste and tofu dregs flour in terms of sensory and chemical characteristics. The research was conducted using a Randomized Block Design with one factor, that is the formulation with five ratio comparisons of tofu dregs flour to red bean paste: r1 (90:10), r2 (80:20), r3 (70:30), r4 (60:40), and r5 (50:50), each with five repetitions. The results revealed that the snack bar with a tofu dregs flour to red bean paste ratio of 60:40 was the best treatment, with physicochemical characteristics of 19.34% moisture content, 1.98% ash content, and 6.81% protein content as well as sensory characteristics including aroma 3.8 (liked), taste 4.17 (more liked), texture 3.9 (liked), and color 3.73 (liked).

The light steel roll forming machine is a tool used in the manufacturing industry to continuously shape steel sheets into specific profiles. Efficiency and accuracy in production heavily depend on the control system employed. This article discusses the implementation of an automatic control system in a light steel roll forming machine, focusing on the use of sensors, actuators, and a microcontroller-based control system. Additionally, the system is equipped with a digital printing machine to directly print product branding and light steel specifications. The research results indicate that the application of an automatic control system enhances product precision, improves production efficiency, and reduces the defect rate.

Brain-computer interface (BCI) technology allows a person to learn to control external actuators by means of arbitrary modification of their own EEG directly from the brain without involving nerves and muscles in this process, allowing to control external technical systems directly by brain signals. In the last two decades, BCI technology has been rapidly developing: its areas of application are expanding, new types of sensors for recording brain signals are being proposed, the quality of their recognition is improving, and methods for training subjects to control BCI are being perfected. At the beginning, the main goal of BCI development was to replace or restore motor functions of a person suffering from neuromuscular disorders. Currently, the tasks of BCI development have significantly expanded, increasingly capturing various spheres of life of a healthy person.

The increase in online buying and selling due to government appeals during the Covid-19 pandemic has created a new habit in society, which also serves to reduce physical contact and prevent the spread of the virus. However, with the increase in delivery of goods, challenges arise in maintaining the cleanliness and safety of received packages. To address this, a smart package receiving system was developed that features automatic sterilization using ultraviolet (UV) lights and disinfectant spraying on incoming packages. This system aims to prevent the transmission of viruses that may be attached to the package. In addition, the system helps monitor and secure packages, especially when the owner is not at home. The system uses a microcontroller as the control center, equipped with an ESP32-CAM camera to document photos of the sender, as well as an ultrasonic sensor to detect whether the package is in the box or not. The process starts when the courier presses the “there is a package” button, which sends an OTP code to the receiver's Telegram. The courier enters the OTP code, places the package in the box, and closes it. After that, the UV lamp turns on for sterilization, the ESP32-CAM photographs the package, and the ultrasonic sensor detects the package status. If the package is detected, a photo notification of the sender is sent to Telegram, informing the recipient that the package is ready for pickup.  

Floods are natural disasters that often occur in Indonesia and cause damage to property, infrastructure, and casualties. One of the main factors causing flooding is the failure of water management systems such as reservoirs to manage the sudden increase in water volume. This research aims to design an automatic reservoir sluice controller by utilizing Internet of Things (IoT) technology to reduce flood risk. The system uses a NodeMCU ESP8266 microcontroller and an HC-SR04 ultrasonic sensor to monitor the water level in real-time, as well as a servo motor that controls the sluices. The system is connected to the Blynk app, allowing remote monitoring and control of the sluice gates via mobile devices. This tool automatically adjusts the position of the sluice gate based on sensor data to keep the water level safe and reduce the potential for flooding. The test results show that this IoT-based automated system is able to work effectively in controlling sluice gates and can be used for flood disaster prevention in the surrounding environment.

Improving the quality of sustainable agriculture in underdeveloped villages is a significant challenge in achieving food security and prosperity for rural communities. Technology plays an important role in supporting the transformation of the agricultural sector by increasing productivity, efficiency and sustainability of natural resources. This article analyzes the contribution of various agricultural technologies, such as smart irrigation technology, the use of organic fertilizer, and sensor-based monitoring systems to support environmentally friendly agricultural practices in underdeveloped villages. Apart from that, this article also discusses the challenges faced by village farmers in adopting technology and how the right policies can accelerate technology adoption to improve people's quality of life. This research concludes that well-implemented technology can encourage sustainable agriculture and increase the competitiveness of agricultural products in the global market.

Kerusakan lampu lalu lintas dapat menjadi penyebab utama kemacetan di persimpangan jalan Ketidakpedulian masyarakat dan lambatnya penanganan kerusakan lampu oleh petugas dapat memperburuk situasi di tengah kepadatan jalan dan bahkan dapat menyebabkan kecelakaan. Sistem monitoring kondisi lampu lalu lintas berbasis Internet-of-Things (IoT) diusulkan untuk memberikan solusi terhadap permasalahan tersebut. Pemantauan kondisi lampu dan notifikasi secara langsung kepada petugas terkait, dalam hal ini Dinas Perhubungan, baik melalui Short-Message-Service (SMS) maupun aplikasi Blynk dapat mempercepat penanganan kerusakan lampu. Selain itu, parameter seperti arus, tegangan, dan daya dapat dipantau secara real-time sehingga tanda-tanda kerusakan dapat dideteksi lebih awal. Sistem ini menggunakan sensor arus PZEM004T yang terintegrasi dengan Arduino Mega. Selain itu, terdapat modul GPS yang berfungsi untuk memberikan informasi lokasi titik lampu lalu lintas yang dipantau. Hasil pengujian menunjukkan bahwa sistem montoring yang terdiri dari modul pengirim dan aplikasi penerima berfungsi dengan baik. Meskipun akurasi pengukuran arus belum mencapai 70%, akurasi pengukuran tegangan dan daya di atas 97%. Petugas mendapatkan notifikasi kerusakan secara langsung ketika lampu padam atau rusak. Implementasi sistem ini diharapkan dapat meningkatkan kecepatan penanganan kerusakan lampu lalu lintas dan sekaligus memudahkan dalam pengelolaan lampu lalu lintas sebagai fasilitas utama di jalan raya.

Push Up is a physical activity carried out by individuals that aims to strengthen the muscles of the body, namely the muscles of the arms, shoulders and chest. Designing an IOT-based detection and monitoring system with the aim of making it easier for tool users to know the number of repetitions and the number of calories used automatically. Detectoring with the help of four proximity sensors to detect motion when doing push-ups and monitoring using an android application made specifically for the device. The component used is NodeMCU ESP8266 as a microcontroller. The parameters displayed in the application include a column of push-up repetitions, a column for the number of calories used, and a graph of increasing push-up repetitions. The tool testing method was carried out 15 times for data collection with 20 push-up repetitions for each data collection. The results of the test, obtained an error percentage of 1.33%. So that this tool can help users to monitor the repetitions that have been done and find out the amount of calories used.

Penelitian ini bertujuan untuk merancang sistem monitoring deteksi dini kebakaran pada ruang server. Kebakaran merupakan ancaman serius yang dapat mengakibatkan kerusakan fatal pada peralatan di ruang server dan potensi kehilangan data pada storage. Untuk menunjang penelitian yang memanfaatkan otomatisasi dan hal yang bersifat real time, maka diperlukan komunikasi antara sensor-sensor dan software yang juga disebut teknologi Internet of Things (IoT). Dalam penelitian ini, sensor-sensor yang dimaksud yaitu Flame Sensor yang berguna sebagai pendeteksi radiasi dari nyala api, Sensor MQ 2 sebagai  pendeteksi asap dan Sensor DHT 11 untuk mendeteksi perubahan suhu yang  signifikan. Untuk mempermudah dalam pemantauan, juga di lengkapi dengan laman web server yang dapat diakses dengan mudah serta menggunakan beberapa output, antara lain buzzer sebagai sirine bahaya, pilot lamp untuk memberikan sinyal visual adanya suhu yang tidak normal serta outpur exhaust fan untuk membantu sirkulasi udara di dalam ruang server. Implementasi dalam rancang bangun sistem monitoring ini diharapkan dapat membantu memastikan performa server dalamkondisi yang selalu optimal dan mengurangi resiko kebakaran yang lebih fatal serta dapat mengurangi beban kerja staf pengelola di Dinas Kependudukan dan Pencatatan Sipil Kabupaten Semarang.

Bell’s Palsy is an acute peripheral facial nerve paralysis that causes unilateral facial weakness. The exact cause remains unclear but is suspected to involve anatomical factors, infections, viral reactivation (especially Herpes Simplex Virus), ischemia, inflammation, and cold exposure. The incidence is 20-30 per 100,000 people annually, with no gender or age preference, though it is more common in middle-aged and elderly individuals. Risk factors include diabetes, pregnancy, preeclampsia, obesity, and hypertension. Symptoms develop suddenly, peaking within 48 hours, and include facial asymmetry, difficulty closing the eyes, eating, speaking, and sensory-motor disturbances. Most cases recover spontaneously within weeks to months, but corticosteroids and antiviral therapy can accelerate recovery. Proper diagnosis is crucial as Bell’s Palsy is often mistaken for stroke or other neurological disorders.

Heart rate is an important indicator of overall heart health. Changes in heart rate can indicate underlying health problems, even before other symptoms appear, especially for the elderly population who are vulnerable to cardiovascular issues such as heart disease, stroke, and arrhythmia. Therefore, a heart rate monitoring device is needed that can monitor heart rate and allow early detection of such cardiovascular disorders. Along with modern technological advancements, heart rate monitoring devices are now available for everyone, but heart signal diagnosis still needs to be conducted by doctors or medical professionals. A heart monitor can be made using a heart rate sensor attached to a NodeMCU device. The Pulse Sensor, which functions to detect human heartbeats, can be placed in three measurement locations: on the finger, hand, or forehead. The data is then processed by NodeMCU, and the measurement results, which are Beats Per Minute (BPM), will be displayed on a website and stored in a database. The test results show that the average heart rate measurement using the device is 74 BPM, while the manual measurement is 74 BPM, with an accuracy of 97.74%, and it takes 60 seconds to display the average Beats Per Minute (BPM).