The form of an archipelago and densely populated country of Indonesia has its own constraints in efforts to deal with health, especially health for patients with cardiovascular disease. This disease is one of the highest causes of death in Indonesia. Based on data from the Ministry of Health, cardiovascular disease since 2007 is the highest cause of death in Indonesia with more than 220,000 deaths each year. While the number of cases exceeds tuberculosis, which has a death toll of 127,000. The number is increasing every year due to changes in lifestyle of Indonesian people who like to eat high-fat foods and lifestyle factors that affect the risk of cardiovascular disease, including lack of physical activity, smoking, high-fat diets, and alcohol consumption habits. This study aims to monitor the heart rate of cardiovascular sufferers with the internet of things (IoT) approach. Every patient with cardiovascular disease can be monitored using a sensor connected to a PC to record any changes that occur. The research method consists of several stages, namely: Prepare, Plan, Design, Implement, Operate and Optimize (PPDIOO). The results obtained in the form of a prototype heart rate monitoring system for patients with cardiovascular. The patient's health can be monitored at any time by the hospital doctor without the patient having to come regularly to the hospital.
Stock opname dalam sebuah perusahaan merupakan hal yang penting. Namun sering terjadi kendala saat proses stock opname berjalan, seperti sering loss connection antara scanner dengan tab sehingga mengurangi produktivitas pekerjaan. Pengimplementasian sistem stock opname yang belum menggunakan sistem berbasis mobile apps berpengaruh terhadap produktivitas, kecepatan dan keefektifan dalam prosesnya. Tujuan pembuatan aplikasi ini adalah untuk mempermudah petugas dalam proses stock opname karena sistem mobile apps cukup menggunakan satu perangkat cerdas yang mempermudah user dalam menginput data stock dengan cepat sehingga meningkatkan produktivitas, kecepatan dan keefektifan. Aplikasi yang akan dibuat ini menggunakan metode SDLC (System Development Life Cycle) Waterfall, metode ini digunakan untuk mengembangkan sistem teknologi informasi yang lebih kompleks, dan dilanjutkan dengan membuat pemodelan rancangan sistem mobile apps dengan UML (Unified Modelling Language). Sedangkan uji coba sistem mobile apps menggunakan metode black box yang bertujuan untuk memastikan aplikasi berjalan dengan baik. Sistem stock opname berbasis mobile apps ini digunakan untuk lebih mengoptimalkan produktivitas pekerjaan juga memangkas biaya operasional alat. Berdasarkan pengujian metode black box, aplikasi ini berjalan dengan baik dan sesuai dengan fungsinya.
The main problem in this research is the increase in cases of theft and robbery. This incident was caused by the busyness of everyone in their daily lives, so they forgot about the safety of their house. An Internet of Things (IoT) based home security system that utilizes a PIR sensor as a human motion detector and then sends a notification in the form of a notification via SMS or e-mail is one solution to overcome the problems that have been previously proposed in previous research. However, to further clarify the warning sent from the system, a home security system is needed that can attach an image to the notification. In this study, an IoT-based home security system was developed. The IoT security system being developed can automatically send a warning message by attaching an image when the PIR sensor detects human presence. The IoT system requires a Raspberry Pi as a microcontroller that is connected to the internet, a PIR sensor to detect human movement and a Pi Camera to win an image when there is an encounter with a human within the range of the PIR sensor. Experiments in this study show that the IoT system can automatically send warning messages via the Telegram application by attaching an image when the PIR sensor detects human presence in various light conditions with a distance of 0-5 meters and the speed of sending email alerts is influenced by the condition of the internet network connection and file size. images sent.
<p>Internet of Things adalah salah satu teknologi yang paling cepat berkembang. Dalam hal penggunaan dan inovasi, itu meningkat pesat. Banyak pengembangan sensor, Layanan, dan infrastruktur dilakukan. Karakteristik sistem IoT yang berbiaya rendah, energi rendah, dan pemrosesan rendah menimbulkan masalah ketika ada peningkatan jumlah node dan volume data. Dengan banyak produksi (pabrikan) perangkat yang dibangun tanpa memperhatikan standardisasi. Kondisi ini akan menyebabkan sistem turun, mengurangi tingkat keamanan, dan pada akhirnya mengurangi tingkat Kualitas Layanan.</p><p> </p><p>Kata kunci:</p><p>Internet of Things, Optimasi energi, Biaya Rendah</p>
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