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All Journal Jurnal Teliska PROtek : Jurnal Ilmiah Teknik Elektro Martabe : Jurnal Pengabdian Kepada Masyarakat
Mujur Rose, Martinus
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Agriculture, Biological Sciences & Forestry Arts Humanities Computer Science & IT Control & Systems Engineering Education Electrical & Electronics Engineering Energy Industrial & Manufacturing Engineering Mechanical Engineering Social Sciences

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Rancang Bangun Alat Pendeteksi Tingkat Stress Pada Manusia Berbasis Arduino Uno Hidayah, Nuril; Mujur Rose, Martinus; Nasron, Nasron
PROtek : Jurnal Ilmiah Teknik Elektro Vol 8, No 1 (2021): Protek : Jurnal Ilmiah Teknik Elektro
Publisher : Program Studi Teknik Elektro Universitas Khairun

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33387/protk.v8i1.2240

Abstract

Stress can be sourced from a variety of things, many negative impacts without us realizing that stress is caused by health.Therefore, a tool capable of being used to automatically measure stress levels in humans is required as a tool to monitor health. This human stress level detection tool uses a tool used to measure the level of human tension condition with three parameters, namely measuring heart rate using pulse sensor, body temperature using temperature sensor DS18B20 and skin moisture using galvanic skin response (gsr) sensor then the data will be sent, processed and processed using Arduino Uno R3 Microcontroller to process information to determine the level of stress condition of a person classified into 4 conditions namely relax , calm, anxious, and tense. Data retrieval is done for 1 minute with the measurement data results displayed on the LCD monitor scree
PENERAPAN TEKNOLOGI KOMUNIKASI MULTIHOP UNTUK MONITORING KONDISI LAMPU PENERANGAN JALAN UMUM BERBASIS LORA: Teknik Telekomunikasi Ade Rosta Paramitha, Nadila; Fadhli, Mohammad; Mujur Rose, Martinus
JURNAL TELISKA Vol 16 No II Juli (2023): TELISKA Juli 2023
Publisher : Teknik Elektro Polsri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5281/zenodo.8183298

Abstract

Street lighting is one of the public facilities that plays a vital role in providing safety and comfort for road users. Therefore, any problems that occur with street lighting must be handled quickly and precisely. To achieve this goal, this study proposes a system for monitoring the condition of street lighting using LoRa-based multihop communication technology. In this study, each street light unit is equipped with an ACS172 current sensor and a BH1750 light sensor to determine the damage that occurs to the street lights automatically. Data from these two sensors is sent using LoRa Ra-02 to the relay and then forwarded to the gateway. The gateway forwards the data to the Firebase server so that the results of monitoring public street lighting can be observed via the internet network. Based on the results of system testing, the street light units (sensor nodes) can communicate with relays up to a distance of 200 m and with gateways up to a distance of 400 m. The gateway can also properly send sensor data to the Firebase server, so monitoring results can be viewed online via a smartphone.
Pengembangan Server VOIP Menggunakan FREEPBX Dan Asterisk Berbasis Raspberry PI Nasron, Nasron; Mujur Rose, Martinus; Fadhilah, Darin
PROtek : Jurnal Ilmiah Teknik Elektro Vol 8, No 1 (2021): Protek : Jurnal Ilmiah Teknik Elektro
Publisher : Program Studi Teknik Elektro Universitas Khairun

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33387/protk.v8i1.2222

Abstract

Raspberry Pi is a single board computer that the author uses as a voip server based on asterisk. To use this voip network, each device must have a static IP as well as be connected to a stable network. The advantage of using raspberry pi is that it no longer costs money to make voice calls for both package and pulse costs. The purpose and benefits of this research to know how raspi works, know how to install voip server using freepbx and asterisk, know how to install voip client on smartphones and laptops dang know the topology of raspi-based voip network, and know how to test stages of searching for throughput, loss package, delay, and jitter using wireshark
IMPLEMENTASI DAN PENYULUHAN TEKNOLOGI TEPAT GUNA DETEKSI DIABETES DENGAN ARTIFICIAL INTELLIGENCE BERBASIS INTERNET OF THING PADA PUSKESMAS MAKRAYU PALEMBANG Nurdin, Ali; Mujur Rose, Martinus; Ginting, Bersiap; Sholihin, Sholihin; Siswandi, Siswandi
Martabe : Jurnal Pengabdian Kepada Masyarakat Vol 8, No 11 (2025): MARTABE : JURNAL PENGABDIAN KEPADA MASYARAKAT
Publisher : Universitas Muhammadiyah Tapanuli Selatan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31604/jpm.v8i11.4084-4094

Abstract

Salah satu tantangan sebagai anak bangsa adalah mengembangkan dan membuat alat untuk membantu layanan kesehatan agar dapat berkembang mengikuti dengan perkembangan teknologi, yaitu dengan membuat alat pendeteksi diabetes dengan artificial intelligence.Permasalahan pada pengguna memiliki keterbatasan dalam membedakan warna,baik karena factor pencahayaan, gangguan penglihatan, atau perbedaan persepsi warna.Teknologi image processing hadir sebagai solusi dengan memanfaatkan kamera untuk menangkap citra strip, kemudian diproses secara digital agar hasil yang ditampilkan menjadi lebih akurat dan konsisten.Berdasarkan hal tersebut, maka dibuat sebuah alat pendeteksi diabetes dengan menggunakan strip urine. Seiring dengan kemajuan teknologi, dibutuhkan inovasi yang relevan dan adaptif terhadap perkembangan zaman. Pemanfaatkan teknologi yang saat ini banyak diminati oleh berbagai kalangan, yaitu Artificial Intelligence, guna meningkatkan efektivitas dan akurasi dalam proses pendeteksian diabetes secara otomatis. Puskesmas Makrayu Palembang telah mengadopsi pendekatan diagnosis holistik untuk pasien diabetes tipe 2 dengan komplikasi neuropati, termasuk tinjauan patogenesis, gejala klinis, dan penatalaksanaan, Keterbatasan fasilitas deteksi dini, Minimnya alat diagnostik canggih menyebabkan ketergantungan pada pemeriksaan glukosa darah konvensional yang kurang responsif terhadap prediksi komplikasi.Implementasi machine learning untuk klasifikasi diabetes mencapai akurasi 79%, membuktikan kesiapan dasar adopsi AI. IoT dalam kesehatan: Inisiatif aplikasi Android untuk manajemen diabetes telah berhasil meningkatkan pemantauan mandiri pasien, namun belum terintegrasi dengan sistem klinis.
Co-Authors Ade Rosta Paramitha, Nadila Ali Nurdin Fadhilah, Darin Fadhli, Mohammad Ginting, Bersiap Hidayah, Nuril Nasron Nasron Sholihin Sholihin Siswandi Siswandi, Siswandi