Article Per Year (5 Year)
p-Index From 2021 - 2026
2.998
P-Index
This Author published in this journals
All Journal International Journal of Electrical and Computer Engineering Erudio: Journal of Educational Innovation Natural B JURNAL INTEGRASI Techne : Jurnal Ilmiah Elektroteknika Jurnal Elkolind : Jurnal Elektronika dan Otomasi Industri Journal of Applied Electrical Engineering Journal of Community Service and Empowerment Jurnal Pengabdian kepada Masyarakat Politeknik Negeri Batam Jurnal Rekayasa elektrika Engagement: Jurnal Pengabdian Kepada Masyarakat
Ika Karlina Laila Nur Suciningtyas
Politeknik Negeri Batam
Religion Arts Humanities Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Mechanical Engineering Social Sciences Other

Published : 19 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 5 Documents
Search
Journal : Journal of Applied Electrical Engineering

 1 
Keran Air Plug-in Otomatis Muhammad Rizki Romadhan; Adlian Jefiza; Muhammad Arifin; Ika Karlina Laila Nur Suciningtyas
Journal of Applied Electrical Engineering Vol 4 No 2 (2020): JAEE, December 2020
Publisher : Politeknik Negeri Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30871/jaee.v4i2.2700

Abstract

alah satu upaya dalam penghematan air adalah dengan menggunakan air sehemat mungkin. Upaya tersebut dapat di lakukan dengan memanfaatkan sistem keran air otomatis. Keran akan menutup secara otomatis saat tidak diperlukan. Tujuan penelitian ini adalah membuat keran dengan sistem otomatis yang dapat menyala/mati sesuai dengan ada/tidaknya objek. Keran otomatis ini dibuat dengan menggunakan modul sensor infared (IR) untuk mendeteksi objek berupa tangan manusia. Pemrosesan data dilakukan menggunakan mikrokontroler Atmega328P. Motor servo MG996R digunakan untuk memutar katup pada ball valve yang terdapat di dalam pipa Polyvinyl Chloride (PVC) berdiameter ½ inci sehingga aliran air dapat dibuat on/off. Hasil percobaan menunjukkan bahwa keran otomatis ini dapat bekerja dengan baik dengan rentang penginderaan sensor 0 cm s.d 10 cm. Daya yang digunakan adalah 0.73072 W (pada saat stand-by) dan 0.712776 W (pada saat keran berputar). Tekanan minimum yang dibutuhkan adalah 0 Pa (Air tetap dapat mengalir walaupun tanpa adanya tekanan).
Rancang Bangun Pembangkit Listrik Tenaga Surya pada Penggunaan Listrik Rumah Tangga Hanifah Riafinola; Ika Karlina Laila Nur Suciningtyas; Imam Sholihuddin; Widya Rika Puspita
Journal of Applied Electrical Engineering Vol. 6 No. 2 (2022): JAEE, December 2022
Publisher : Politeknik Negeri Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30871/jaee.v6i2.4809

Abstract

Kebutuhan energi listrik semakin meningkat seiring dengan pertambahan penduduk dan laju pertumbuhan ekonomi. Kebutuhan akan penggunaan energi terbarukan yang ramah lingkungan, aman dari polusi dan persediaannya tidak terbatas seperti pembangkit listrik tenaga surya (PLTS) perlu ditingkatkan. Kementrian Energi dan Sumber Daya Mineral menyampaikan bahwa Indonesia memiliki potensi energi surya yang sangat besar yakni sekitar 4.8 KWh/m2 yang kemanfaatannya belum optimal. Sebagai upaya untuk turut serta mendukung penggunaan sumber energi terbarukan, maka rancang bangun pembangkit listrik tenaga surya perlu dilakukan khususnya untuk penggunaan listrik rumah tangga. Rancang bangun PLTS ini terdiri dari panel surya yang terhubung pada solar charge controller (SCC), inverter dan baterai. Pengujian sistem dilakukan dengan menggunakan beban berupa lampu dan kipas angin. Hasil pengukuran data dari nilai rata"“rata tegangan terbuka (Voc) adalah sebesar 20,40 V dengan arus hubung singkat (Isc) sebesar 6,54 A dan intensitas sinar matahari sebesar 323.09 W/m2. Hasil yang diperoleh dari rancang bangun PLTS ini mampu menahan beban 570 Wh selama 11 jam.
Alat Pemantau dan Penghitung Jumlah Pengunjung Berbasis Aplikasi Telegram Rindang Alamsyah; Ika Karlina Laila Nur Suciningtyas; Nanta Fakih Prebianto; Iman Fahruzi; Imam Sholihuddin; Abdurahman Dwijotomo; Lalu Kaisar Wisnu Kita; Indra Daulay
Journal of Applied Electrical Engineering Vol. 7 No. 1 (2023): JAEE, June 2023
Publisher : Politeknik Negeri Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30871/jaee.v7i1.5459

Abstract

A visitor monitoring and counting device is a tool designed to send information in the form of images and the number of visitors detected through a camera and sensors installed on the device. This device is based on the Telegram application using the ESP32-CAM module as the camera to capture images of each incoming visitor. The device is equipped with an infrared sensor used to detect incoming visitors. The device works by counting the number of visitors when they enter, and then sending a signal to the ESP32-CAM to capture a physical image as evidence. The data from the device's operation is sent through the Telegram application. The research results show that the device functions well at a distance of 60 cm, but it does not function properly at a distance of 90 cm. The average time required for the device to send an image to the application is 2.5 seconds. The fastest time required by the system to read data between one visitor and the next is 15,4 seconds.
Rancangan Sistem Kontrol dan Monitoring pada Wire Selection Boxes Suciningtyas, Ika Karlina Laila Nur; Risandriya, Sumantri Kurniawan; Ismail, Aziz; Maulana, Rifky Daniel
Journal of Applied Electrical Engineering Vol. 8 No. 2 (2024): JAEE, December 2024
Publisher : Politeknik Negeri Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30871/jaee.v8i2.8797

Abstract

The issue of incorrect material usage in the industry's production process is a primary focus for quality control, as it directly impacts customers. This research was conducted due to challenges in maintaining the continuity of the manual cable selection process. Currently, cable selection involves choosing cables stored in various boxes with different specifications. Therefore, a system is needed to enhance the effectiveness and efficiency of the cable selection process. The approach used to address this issue involves developing a user interface for input, which is processed using a Raspberry Pi 4 connected to a servo motor that functions as the opener and closer of the cable storage boxes. The interface includes a login menu, a control menu, and a menu that allows users to add their own data. Additionally, the PCA9685 driver module is connected to the Raspberry Pi 4 to control 66 servo motors. The results of this research enhance the cable selection process by increasing its effectiveness and efficiency, as shown by a tool utilization effectiveness rate of 80.4%.
Identification Food Nutrition and Weight Prediction using Image Processing Sani, Abdullah; Silitonga, Ricky; Mishthafiyatillah, Mishthafiyatillah; Lalu Kaisar Wisnu Kita; Ika Karlina Laila Nur Suciningtyas; Ririn Humaera; Budiana , Budiana
Journal of Applied Electrical Engineering Vol. 9 No. 1 (2025): JAEE, June 2025
Publisher : Politeknik Negeri Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30871/jaee.v9i1.9492

Abstract

Obesity is a global issue with rising prevalence each year, driven partly by excess nutrient and calorie intake. Identifying nutrient content in food is vital to prevent obesity. This research employs image processing, specifically the YOLO (You Only Look Once) algorithm, to classify and identify fruits and vegetables quickly and accurately. YOLO is advantageous for its speed and ability to classify multiple objects simultaneously. The goal is to develop a system that recognizes, classifies, and predicts the weight of fruits and vegetables, providing nutritional and calorie information. Tests showed that the system accurately detects produce under various lighting conditions—achieving 100% accuracy with additional ring light (600–650 lux) and 99.2% without extra lighting. Beyond object detection, the system predicts weight with an average error of 5.6% when illuminated. This technology has the potential to aid users in monitoring nutritional intake by providing reliable identification and calorie data, contributing to obesity prevention efforts.
Co-Authors Abdullah Sani Abdurahman Dwijotomo Adlian Jefiza Agus Naba Ahmad Riyad Firdaus Ahmad Riyad Firdaus Akhmad Afandi Akhmad Jufriadi Andi Hartanto ANUGERAH WIBISANA Ari Wira Saputra Arif Febriansyah Juwito Arif Rachmansyah Assegaf, Iqchan B. Budiana Budi Sugandi Budiana, Budiana Diono, Diono Eka Mutia Lubis Eko Rudiawan Jamzuri Fandy Bestario Harlan Fitriyanti Nakul Futra, Asrizal Deri Hanifah Riafinola Hasnira Hasnira Hena Dian Ayu Hendawan Soebhakti Heru Wijanarko Hutasoit, Fania Putri Ilham Kurnia Imam Sholihuddin Imam Sholihuddin Iman Fahruzi Indra Daulay Ira Zamzami Irwanto Zarma Putra Ismail, Aziz Jeremiah Pardomuan Hutabarat Juliansyah Yangu Kamarudin Kamarudin Lalu Kaisar Wisnu Kita Lalu Kaisar Wisnu Kita Lindawani Siregar M Rahman Manurung, Cyntya Tri Hartati Marpaung, Roy Hitmen Maulana, Rifky Daniel Maulidah, Hana Mutialif Mishthafiyatillah, Mishthafiyatillah MUHAMMAD ARIFIN Muhammad Arifin Muhammad Nazri Muhammad Rizki Romadhan Mulyadi, Indra Hardian Nadhrah Wivanius, Nadhrah Nanta Fakih Prebianto Putri, Sarah Athaullah Wenna Qoriatul Fitriyah Rabiah Al Adawiyah Anwar Raehanayati Raehanayati Ramadhan, Rahmat Ersya Ridwan Ridwan Rifqi Amalya Fatekha Rindang Alamsyah Ririn Humaera Risandriya, Sumantri Kurniawan Riska Analia Rogen Samuel Hasibuan Ryan Satria Wijaya S. Susanto Salman Alfarizi Sandy Vikki Ariyanto Senanjung Prayoga Silitonga, Ricky Siregar, Lindawani Sukir Sukir Susanto Susanto Susanto Susanto Vivin Oktowinandi Wendy Kriswanto Simangunsong Widya Rika Puspita Widya Rika Puspita Yusiran