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Journal : JTEIN: Jurnal Teknik Elektro Indonesia

Rancang Bangun Pintu Air Otomatis Berbasis Arduino dan Monitoring Menggunakan Android Fathana, M.Riski Arif; Mukhaiyar, Riki
Jurnal Teknik Elektro Indonesia Vol 5 No 1 (2024): JTEIN: Jurnal Teknik Elektro Indonesia
Publisher : Departemen Teknik Elektro Fakultas Teknik Universitas Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/jtein.v5i1.572

Abstract

Bendungan merupakan suatu tempat yang dibuat untuk tujuan menampung air dengan volume yang besar dan di kontrol oleh manusia, karena itu bendungan saat ini memiliki fungsi yang sangat baik di daerah yang aliran air sungai nya besar dan curah hujann yang cukup tinggi, disamping itu bendungan juga bermanfaat dalam mengontrol aliran air di persawahaan yang ada di perdesaan. Saat ini sering terjadi human error pada petugas yang mengontrol kapan pintu air bendungan di buka dan juga saat pengontrolan ketinggian air. Penelitian pada skripsi ini berisikan tentang rancangan pintu air otomatis berbasis arduino dan monitoring menggunakan android. Prototype ini akan di rancang dengan bentuk yang menyerupai seperti bendungan. Fitur yang tedapat dalam prototype tersebut antara lain arduino sebagai kontroler dan blyink sebagai pengntrol ketinggian air dan membuka pintu air pada prototype dari jarak jauh melalui android. Bersdasarkan hal tersebut, dibuatlah rancangan prototype pintu air otomatis berbasis arduino dengan sensor ultrasonik yang mengukur ketinggian air dan motor Dc sebagai penggerak pembuka pintu air secara otomatis melalui android. Sehingga ketika diterapkan dapat mengurangi kelalaian dan human eror dari petugas penjaga bendungan kedepannya.
Facial Expression Detector While Driving Wefa, Indah Dara; Mukhaiyar, Riki
Jurnal Teknik Elektro Indonesia Vol 5 No 1 (2024): JTEIN: Jurnal Teknik Elektro Indonesia
Publisher : Departemen Teknik Elektro Fakultas Teknik Universitas Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/jtein.v5i1.606

Abstract

Facial expression when a person is sleepy can be seen from eye behavior and facial behavior. To detect the driver's drowsiness, facial expression is a form of non-verbal communication that results from one or more facial muscle movements that can indicate a person's emotional state. This detector works automatically when the system runs without external control. The system is controlled only via the desktop using the Convolutional Neural Network (CNN) method. The working principle of this tool is to start by connecting the power when the system and the Desktop are turned on, then activate the Open CV software created on the desktop and continue testing to recognize the driver's face. If the detected face has a sleepy expression, the device will show the driver's drowsiness through the speaker and warn the driver to be careful when driving. The test results show that the system can detect drowsiness optimally. With the existence of this tool, it is hoped that it can reduce the death rate due to traffic accidents by preventing the driver from experiencing the sleep phase while driving.
The design of carbon monoxide gas control systems in rooms based on IoT Jauhari, Mohammad Raafi; Eliza, Fivia; Candra, Oriza; Mukhaiyar, Riki
Jurnal Teknik Elektro Indonesia Vol 5 No 1 (2024): JTEIN: Jurnal Teknik Elektro Indonesia
Publisher : Departemen Teknik Elektro Fakultas Teknik Universitas Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/jtein.v5i1.655

Abstract

The increasing use of air-conditioned rooms in public entertainment venues but allowing visitors to smoke indoors makes some visitors feel uncomfortable. This final project aims to be able to design a carbon monoxide gas control device and carbon monoxide gas monitoring using IoT technology. The methodology for making this tool involves literature study methods in national journals and internet searches regarding projects that have been made before. Then identify problems in the field so that improvements can be made in tool design. In this tool, air content readings use the MQ-135 sensor to detect gas levels. Control uses the Ardiono Uno microcontroller as the data processing center, the ESP 8266 nodeMCU as the data sender to the application. From several experiments it was concluded that the tool operated as expected. It can be seen from the experimental data that the MQ-135 sensor works accurately in detecting the air quality levels in the room. It starts when the sensor detects air levels and then the reading results become input to start activating the relay for on/off the exhaust fan and also perfume, which will be active to neutralize the air in the room. The buzzer will activate when the reading value reaches the programmed gas level. The sensor reading value that is read will then appear on the LCD and also on the Blynk application.
Implementation of Outseal PLC for Monitoring kWh Meters in the Commercial Sector Using Android-Based HMI Ardiansyah, Ardiansyah; Sukardi, Sukardi; Hambali, Hambali; Mukhaiyar, Riki
Jurnal Teknik Elektro Indonesia Vol 5 No 2 (2024): JTEIN: Jurnal Teknik Elektro Indonesia
Publisher : Departemen Teknik Elektro Fakultas Teknik Universitas Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/jtein.v5i2.716

Abstract

The increasing demand for electricity in the commercial sector necessitated the development of an efficient monitoring system to manage energy consumption. This study aimed to design and implement a monitoring sistem for kWh meters using an Outseal PLC integrated with an Android-based HMI. The system utilized the Outseal PLC as the primary controller, interfacing wirelessly with a Modbus HMI through a DT-06 Wi-Fi Module. A PZEM-004T sensor was used to measure voltage, current, power, and energy consumption. The PLC communicated with the sensor via Modbus protocol using a Max485 module. The data collected was displayed on the HMI, allowing real-time monitoring of power usage. Experimental methods involving the design and testing of both hardware and software components were employed. Results demonstrated that the system accurately measured electrical parameters with minimal error. The voltage and current readings showed average errors of 0,08% and 0,23% respectively for an 85 Ω load, 0,92% and 2,81% for a 14 Ω load. Power measurements had an average error of 0,15% for an 85 Ω load and 1,68% for a 14 Ω load. The Wi-Fi connection range was tested and found to be effective up to 14 meters without obstacles. This study concluded that the Outseal PLC-based monitoring system is a reliable and cost effective solution for managing energy consumption in the commercial sector.
Co-Authors Abdul Arif Abdullah, Rajal Adhitya Redza Marjan Adrian Adrian Agry Berlianda Putri Ahmad, Stevanni Amelia Al Chairi Al Hikmah Fajar Aldila, Suci Alfin Surya Ali Basrah Pulungan Ambiyar, Ambiyar ARDIANSYAH ARDIANSYAH Arieyansyah Arieyansyah Arinda Frismelly Asrul Huda Aswardi Aswardi Atikah Zulfianti Putri Atsila Shalsabila Auliyaa Azhari Bayu Febriansyah Candra, Oriza Cindy Yulia Rezki Dedy Irfan Deni Adi Putra Devira Frenza Dewi Nurhidayati Dina Salsa Fauzia Dolly, Vice Pramutia Dwi Annisa Dwiprima Elvanny Myori Elfizon Elfizon Era Santika Erna Fitri Fadila Denta Sukma Fadillah Jamil Fadli Aldoni Faradian, Nevi Farizky Adhitia Azhari Fathana, M.Riski Arif Fikra Ihsanul Fahmi Firdaus Firdaus Firdaus Firdaus Fivia Eliza Ganefri . Giatman, M Goani Marind Gusdila, Adrita Habli Fauziman Hambali Hambali Hansi Effendi Hardison, Hardison Hasan Maksum Husni, Ilvi Nirma Irfan, Dedi Irfandi Gusman Irma Husnaini Jalal, Fitri Jauhari, Mohammad Raafi Jean Dwi Ritia Sari Jihan Alya Permata Mexda Kurniadi Ilham Linda Gea Vetrycia, Damai Luthfi Zakiral Ghalib Luthfi, Afdal Mardizal, Jonni Meri Arnelis Mhd. Raffi Gusman Milfiga Septa Yoski Minda Azhar Muhamad Syukri Muhammad Adri Muskhir, Mukhlidi Mutiara Lovita Nabila Yulianda Putri Nadia Utari Nadiatul Hasanah Nellitawati Nellitawati Neneng Elsovia Nizar, Umar Kalmar Nurfarhanah Nurfarhanah Perdian Pramana Pesa, Aria Kharisma Ponimin Puja Ramadani Rafindo Zulfikar Rahmat Fadil Raja Chairul Jannah Wydmann Rani Kurnia Rashid, Farid Al Redo Dwi Putra Refdinal Rima Sartika Rizki Lailathul Isra Rizki Meliasari Rizky Fajar Ramadhan Robby Franiko Rose Sunky Salsabila Alnitri Arrahma Sari, Jean Dwi Ritia Setiawa, Herlin Sherly Kasuma Warda Ningsih Shinta Mardhatillah Liusmar Sri Wahyuni Suci Aldila Sukardi Sukardi Sukardi Sukardi, Sukardi Suryelita, Suryelita Syaiful Islami Syaputra, Yori Afrian Taali, Taali Tania Octavia Harahap Tipal Surya Muhammad Utari, Nadia Utriweni Mukhaiyar Vice Pramutia Dolly Viona Permata Sari Eriska Waskito Waskito, Waskito Wefa, Indah Dara Wulansari, Rizky Ema Yeka Hendriyani Yulia Efronia Zakaria Zakaria Zulhendra, Zulhendra Zulina, Putri