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Pneumonia remains a leading cause of morbidity and mortality worldwide, particularly in resource-limited settings and among elderly populations, where timely diagnosis and continuous monitoring are often constrained by limited clinical infrastructure. This study presents an edge–cloud–integrated framework for early pneumonia risk monitoring, leveraging multimodal wearable sensors and deep learning to support continuous short-duration monitoring. The proposed system is designed to operate in near real time under simulated deployment conditions, continuously acquiring and analyzing physiological signals (respiratory rate, heart rate, SpO₂, and body temperature) alongside event-driven acoustic biomarkers (cough sounds) within a distributed architecture. A lightweight edge module performs local signal preprocessing and anomaly triage, selectively transmitting salient information to a cloud-based multimodal deep learning model for refined risk estimation and interpretability analysis. The framework was evaluated using a multi-source dataset comprising public repositories (MIMIC-III and Coswara) and a clinically supervised wearable study conducted in two Nigerian hospitals, resulting in 718  hours of quality-controlled multimodal monitoring data. In a pooled multi-source evaluation, the system achieved an AUC of 0.95, while in a clinically realistic local-only evaluation, the AUC was 0.86, reflecting a consistent but preliminary diagnostic signal. These results highlight the importance of local data adaptation for real-world applicability and suggest that multimodal AI can provide meaningful early risk indicators under resource constraints. Beyond predictive performance, this work demonstrates the feasibility of integrating multimodal learning, edge–cloud computation, and explainable analytics into a deployment-aware, privacy-preserving monitoring framework for low-resource healthcare environments.

Floods are the most frequent natural disasters and cause material and non-material losses. One of the problems faced is the lack of early warning when floods occur. This problem can be overcome with a flood early warning system. This paper discusses the solution to this problem, namely by designing and implementing a real-time flood early warning system using IoT-based Internet of Things (IoT) technology ESP32 MQTT and APK Kodular. The objective of this research, compared to previous studies, shows a gap in the methods used. While previous studies used an IoT-based flood warning system that sends data via SMS or an HTTP server, this study applies real-time monitoring with the MQTT protocol, which allows sending water level data with low latency to the Kodular application for faster and more responsive warnings. The method used is to connect hardware with IoT where ESP32 is a client that sends data to MQTT and will display it in the Kodular APK. This flood early warning system consists of: ultrasonic sensors, ESP32, MQTT cloud, OLED, buzzer, LED, and APK on the phone to receive notifications through a mobile application created using Kodular. This IoT-based system is installed in the Kudu Regency river and can monitor water levels in real-time. Based on a predetermined threshold, the system can activate the LED indicator or buzzer and send an early warning message to the user via the APK on the phone. Test results show that this system functions effectively in providing flood warnings with an accuracy of 1-2 cm and in a timely manner, making it suitable for community-based flood monitoring solutions

Pemantauan suhu dan kelembaban secara real-time merupakan kebutuhan penting dalam berbagai bidang, seperti kesehatan, pertanian, industri, dan pengelolaan lingkungan, guna menjaga stabilitas kondisi ruangan dan mencegah kerusakan pada peralatan elektronik. Penelitian ini bertujuan untuk merancang dan membangun sistem monitoring suhu dan kelembaban berbasis mikrokontroler ESP32 dengan sensor DHT22. Sistem dirancang untuk menampilkan data secara langsung melalui layar OLED dan aplikasi Blynk sehingga memungkinkan pemantauan jarak jauh secara real-time. Penelitian ini menggunakan metode eksperimen dengan pengujian pada dua skenario, yaitu ruang tertutup dan area terbuka, dengan titik kendali kelembaban relatif (RH) sebesar 65%. Hasil pengujian menunjukkan bahwa sistem mampu bekerja secara efektif dalam kondisi ruang tertutup, di mana kelembaban meningkat dari 54,5% menjadi 65% RH dalam waktu 10 menit dan kemudian dapat dipertahankan stabil melalui mekanisme kendali otomatis. Namun, pada area terbuka, sistem tidak menunjukkan peningkatan kelembaban yang signifikan karena adanya sirkulasi udara bebas yang mempercepat dispersi uap air. Dengan demikian, dapat disimpulkan bahwa sistem monitoring berbasis ESP32 ini efektif digunakan pada ruang dengan kondisi lingkungan yang terkontrol, serta memiliki potensi untuk dikembangkan lebih lanjut pada aplikasi rumah pintar (smart home) dan sistem industri berbasis Internet of Things (IoT).

3D printing technology is rapidly developing and being used in various fields. One of the main factors affecting print quality is the filament, with ABS being a popular material due to its eco-friendliness, ease of printing, and good mechanical strength. To achieve precision, the filament diameter must be consistent, around 1.75 mm or 2.85 mm according to the design nozzle diameter. The production of ABS filament uses a single screw plastic extruder machine, where the material is melted, extruded, and then cooled. Two main factors that affect the final dimensions are the extrusion temperature and the cooling medium. Improper temperature can alter the viscosity of ABS melt, affecting the extrusion rate and diameter accuracy. Meanwhile, differences in cooling media, such as blower air and water, affect material shrinkage and dimensional stability. This research aims to analyze the influence of extrusion temperature variations and cooling media on the diameter of ABS filaments. Through experiments with varying parameters, the pattern of diameter changes will be analyzed to determine the optimal conditions that minimize dimensional deviations. The research results are expected to contribute to the optimization of ABS filament extrusion parameters to support the 3D printing industry with higher quality materials.

The cooling system on the Jupiter MX 135 CC motorcycle functions to maintain a stable engine temperature to prevent overheating. There are two main types of cooling systems on motorcycles: Air Cooling System and Liquid Cooling System. In the Air Cooling System, the working principle involves heat generated by the motorcycle engine being dissipated through cooling fins located around the engine block. Air that flows through the fan or moves as the motorcycle runs will carry away the heat. Meanwhile, in the Liquid Cooling System, the working principle involves coolant (usually a mixture of water and antifreeze) flowing through channels inside the engine to absorb heat. The coolant is then carried to the radiator, where the heat is transferred to the air with the help of a fan. Common problems that occur in the cooling system of the Jupiter MX 135 CC motorcycle can interfere with engine performance and risk causing serious damage if not addressed promptly. Some of the common issues include, Low coolant level, Radiator damage, Water pump failure, Malfunctioning thermostat (thermostat stuck), Leaking or broken radiator hose, Radiator fan malfunction, Dirty or contaminated coolant, Ineffective fan (for air-cooled engines), Overheating due to excessive load. The objectives of this study are to understand how the cooling system on the Jupiter MX 135 CC motorcycle works, to identify damages occurring in the cooling system, and to solve the issue of water pump leakage in the cooling system. The methods used in this research include observation, literature study, interviews, and action methods. The results of problem identification in the cooling system of the Jupiter MX 135 CC motorcycle show, The water jacket gasket is corroded ,The bearing on the water pump is damaged, The water pump impeller is worn out, The radiator pump seal has hardened, causing a squeaking sound around the water pump, Solutions to the problems in the cooling system components include replacing the damaged and worn parts (head gasket, bearing, seal, and impeller) and refilling with new coolant.

Sinusitis is a health disorder commonly caused by factors such as air pollution, dust exposure, cold air, and smoking. With the rapid development of technology, there are now healing methods that do not rely on conventional medications, such as laser therapy. This research aims to develop a laser therapy clock equipped with sinusitis therapy using Low-Level Laser Therapy (LLLT). The system utilizes Arduino Nano as the main controller, an IR laser for the nose and hand, a DS18B20 temperature sensor to monitor the patient's temperature, and an OLED 0.96V display to show laser intensity and temperature values. This system aims to improve patient interaction with the device, providing a convenient and effective way to perform sinusitis therapy at home. The goal is to create a non-invasive, user-friendly solution for individuals suffering from sinusitis, with the potential to enhance treatment effectiveness, accessibility, and convenience, offering a promising alternative to traditional treatments.

This research aims to design an Aircraft Jacking control system for the Boeing 737-800 to automatically balance the aircraft's inclination using an MPU6050 sensor and servo actuators. The system can detect pitch and roll angles with an accuracy of ±0.5° and an average response time of 150 ms. Based on tests using five datasets, the balancing time ranges from 400 to 600 ms, depending on the initial imbalance. In Dataset 5, with a pitch of 3.5° and a roll of -2.3°, the system required 600 ms to achieve balance, demonstrating its ability to handle critical conditions. The servo actuators successfully adjusted the jacking height within a range of 2 cm with a precision of ±0.02 cm, while the OLED-based monitoring system allowed operators to observe the inclination angles in real-time. Furthermore, ESP-NOW-based communication achieved a data transmission success rate of 98%, supporting efficient centralized control. This research demonstrates the system's effectiveness in balancing the aircraft quickly and accurately, providing a foundation for further development under extreme conditions and energy efficiency improvements.

Nowadays, plastic has become a material that is inseparable from human life. Plastic is considered an easily available, practical, light and modern material. ‎In order to be able to make a plastic product that suits what we want, of course we need adequate technology, both in terms of injection machines, injection molding, materials, methods and people. The way this injection molding machine works is by putting plastic pellets into a barrel which is then heated until it melts. The melted plastic is injected into the mold which is then cooled. After that, it is released from the mold and a plastic product is formed. Current analysis produces values of 23.2 A and 20 A, which are then used to calculate power in the injection molding process. The calculation results show a power of 8.7 KW and 7.5 KW based on the data obtained.

Worms are one of the Neglected Tropical Disease (NTD) or neglected tropical diseases in Indonesia, this disease can attack all ages but mostly attacks children of unschooled age and elementary school age. This helminthic disease generally attacks people in developing countries, especially in people with low socioeconomic in rural areas. Poor environmental sanitation accompanied by an unhealthy lifestyle of the community is one of the factors in the ease of breeding worms. The purpose of this study was to determine the picture of worm egg infection in the feces of elementary school children in Karang Anyar Village, RT/01, RW/01, Kemiri District, Tangerang Regency. This research method was carried out by conducting fecal sampling in Karang Anyar Village RT/01 RW/01, Kemiri District, Tangerang Regency and examination of fecal samples by sedimentation method. The results of the examination of worm eggs in feces obtained negative results from 21 fecal samples.

Angkot is one of the conventional forms of transportation that is often used by the public for mobility because the prices are affordable with a variety of routes and a lot of cargo. We can find Angkots easily in various city centers with units that are often many so they can be easily found. But at present, conventional transportation and online transportation, giving rise to many policies and also considerations from various parties involed in contributing betwen online and conventional parties. In all aspects, online transportation is far superios in all aspect, online transportation is far superior in all respects and in line with the deveplopment of the current era of globalization. So that the party that suffetrs the most is conventional transportation because with the times that continue to roll, angkot drivers need to survive and find solutions by taking rationalist actions to maintain the existence of angkot. Actions ned to be taken not only by the angkot driver as a party involed in this dynamic, but the intervention of the local goverment and also the trasportation agency is very important for the contribution of the angkot to balnce the social system in society. So that rationalist actions and also the role of local goverment are very important in supporting conventional transportations operations.

Penelitian ini bertujuan untuk mengetahui bagaimana besarnya pengaruh penggunaan media pembelajaran powerpoint terhadap hasil belajar siswa pada mata pelajaran Sejarah Kebudayaan Islam bersama guru mata pelajaran SKI yang bernama Bu Zuheni, S.Ag di MTsN 2 Pasaman Barat yang ditinjau dari nilai pre test dengan nilai post test pada materi pokok Peristiwa Hijrah Nabi Muhammad SAW di Madinah tahun pelajaran 2022/ 2023. Populasi penelitian yaitu siswa kelas VII.2, VII.3, VII.4. Sementara sampel yang digunakan dalam penelitian ini simple random sampling, adapun kelas yang terpilih yaitu kelas VII.2 sebagai kelas eksperimen dan VII.3 sebagai kelas kontrol. Desain yang digunakan dalam penelitian ini adalah pretest-posttest control group design. Instrumen penelitian berupa tes tertulis berbentuk soal pilihan ganda sebanyak 20 soal yang sudah diuji validitas menggunakan rumus korelasi point biserial dan reliabilitasnya menggunakan rumus KR-20 (kuder Richardson- 20). Untuk uji Prasyarat analisis data yaitu uji normalitas dan uji homogenitas, menggunakan rumus Chi Kuadrat dan Uji-F. Teknik analisis data pengujian hipotesis menggunakan rumus uji-t Poled Varians. Adapun hasil penelitian diperoleh adanya pengaruh penggunaan media powerpoint terhadap hasil belajar SKI Siswa di MTsN 2 Pasaman barat.

Article history: Received 30 Mei 2020 Received in revised form 2 Juni 2020 Accepted 10 Juni 2020 Available online 12 Juni 2020 ABSTRACT Alcohol is the common name for organic compounds that have a hydroxyl group attached to carbon and hydrogen atoms. The alcohol that is commonly found in liquor is ethyl alcohol or it is also called ethanol, but it is usually referred to as alcohol alone. Drinks with an alcohol content of 40% can lose consciousness, leading to accidents for alcohol-affected drivers. To detect alcohol in the body using an alcohol tester. Researchers tried to make a measuring instrument for alcohol levels in the body using several components such as Arduino nano, MQ 3 sensor, OLED, charger module, battery, resistor, push button, and buzzer. The design of a portable alcohol level detector through breath can work well, namely the results of the reading of alcohol levels in the body by the MQ-3 sensor through the breath and displayed on the Oled Display in units of% BAC (Blood Alcohol Concentration), in the sample comparison of the alcohol level reading between Final project tool with a comparison tool alcohol tester obtained the percentage difference in an average of 0.01% BAC. Keywords: Alcohol, Arduino Pro Micro, MQ-3 Sensor, OLED, Charger Module, Battery, Resistor, Push Button, and Buzzer

This study aims to determine the size of the company, and capital structure, on the quality of earnings. The sample in this study is the food and beverage sub-sector manufacturing companies listed on the Indonesia Stock Exchange (IDX) for the 2015-2019 period. Data was collected by the documentation method. The sample selection used a purposive sampling method and obtained 17 companies. Hypothesis testing was carried out using pooled least s-quare data regression analysis method. The results of this study indicate: (1) Firm Size has a positive and significant effect on Earnings Quality and (2) Capital Structure has a negative and insignificant effect on Earnings Quality. by 45% influenced by other factors not described in this study.

Security issues of a system are factors that need to be considered in the operation of information systems, which are intended to prevent threats to the system and detect and correct any damage to the system. Distributed Denial of Services (DDOS) is a form of attack carried out by someone, individuals or groups to damage data that can be attacked through a server or malware in the form of packages that damage the network system used. Security is a mandatory thing in a network to avoid damage to the data system or loss of data from bad people or heckers. Packages sent in the form of malware that attacks, causing bandwidth hit continuously. Network security is a factor that must be maintained and considered in an information system. Ddos forms are Ping of Death, flooding, Remote controled attack, UDP flood, and Smurf Attack. The goal is to use DDOS to protect or prevent system threats and improve damaged systems. Computer network security is very important in maintaining the security of data in the form of small data or large data used by the user.