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All Journal IAES International Journal of Artificial Intelligence (IJ-AI) International Journal of Reconfigurable and Embedded Systems (IJRES) International Journal of Applied Power Engineering (IJAPE) JTT (Jurnal Teknologi Terpadu) Journal of Industrial Engineering Management Jurnal Teknik Elektro dan Komputasi (ELKOM) Jurnal Sistim Informasi dan Teknologi Jurnal ELTEK Jurnal ELTEK
Suprapto, Sena Sukmananda
Institut Teknologi Kalimantan
Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Electrical & Electronics Engineering Energy Engineering Industrial & Manufacturing Engineering Materials Science & Nanotechnology Mechanical Engineering

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Design and build an airbag system for elderly fall protection using the MPU6050 sensor module Suprapto, Sena Sukmananda; Kusuma, Vicky Andria; Firdaus, Aji Akbar; Putra, Wahyu Haryanto; Yuniar, Risty Jayanti
International Journal of Reconfigurable and Embedded Systems (IJRES) Vol 13, No 1: March 2024
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijres.v13.i1.pp111-116

Abstract

The use of technology has a significant impact to reduce the consequences of accidents. Sensors, small components that detect interactions experienced by various components, play a crucial role in this regard. This study focuses on how the MPU6050 sensor module can be used to detect the movement of people who are falling, defined as the inability of the lower body, including the hips and feet, to support the body effectively. An airbag system is proposed to reduce the impact of a fall. The data processing method in this study involves the use of a threshold value to identify falling motion. The results of the study have identified a threshold value for falling motion, including an acceleration relative (AR) value of less than or equal to 0.38 g, an angle slope of more than or equal to 40 degrees, and an angular velocity of more than or equal to 30 °/s. The airbag system is designed to inflate faster than the time of impact, with a gas flow rate of 0.04876 m3 /s and an inflating time of 0.05 s. The overall system has a specificity value of 100%, a sensitivity of 85%, and an accuracy of 94%.
Comparative analysis of single-axis solar tracker performance with and without reflector under various weather conditions Kusuma, Vicky Andria; Firdaus, Aji Akbar; Suprapto, Sena Sukmananda; Yuniar, Risty Jayanti; Trimulya, Hanif; Priyanto, Yun Tonce Kusuma
International Journal of Applied Power Engineering (IJAPE) Vol 13, No 2: June 2024
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijape.v13.i2.pp328-334

Abstract

This research explores a sun tracking system for solar panels that affects the power output of the panels. To address this, a unidirectional sun tracking system is implemented to ensure the solar panels are perpendicular to the sun, thus optimizing solar radiation. Additionally, reflectors are integrated to capture more sunlight. This research aims to design the system of unidirectional sun tracking to enhance the power output generated by solar panels and compare its performance with stationary (static) solar panels. The results demonstrate that the system of sun tracking improves the power output of solar panels. However, when reflectors are used in conjunction with the sun tracking system, no significant increase in power output is observed. Moreover, solar panels equipped with the unidirectional sun tracking system exhibit a power increase of 52.06 Watts compared to stationary solar panels. This research indicates that employing a unidirectional sun tracking system with the addition of reflectors does not enhance power output but instead reduces it due to the increased temperature effect caused by the sunlight reflection from the added reflectors.
Rancang Bangun Aplikasi Modul Praktikum Rangkaian Listrik Berbasis Augmented Reality Wicaksono, Himawan; Suprapto, Sena Sukmananda; Tuwaidan, Yosua; Kusuma, Vicky Andria; Utami, Amalia Rizqi
Jurnal Teknik Elektro dan Komputasi (ELKOM) Vol 5, No 2 (2023): ELKOM
Publisher : Universitas Muhammadiyah Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32528/elkom.v5i2.8142

Abstract

Perkembangan teknologi komputasi mempermudah proses pembelajaran. Augmented reality (AR) digunakan untuk membangun aplikasi praktikum rangkaian listrik menggunakan aplikasi Unity3D untuk meningkatkan pemahaman pada praktikum rangkaian listrik. Aplikasi memiliki fitur-fitur yaitu tugas pendahuluan, AR breadboard, AR multimeter dan AR power supply, modul praktikum dan presensi. Blackbox Testing, kuesioner, pengaruh cahaya lingkungan, derajat kemiringan, resolusi kamera, dan smartphone prosesor digunakan dalam uji coba untuk rentang jarak dan kestabilan aplikasi mendeteksi marker. Semakin gelap cahaya lingkungan, maka jarak deteksi akan semakin menurun dan semakin kecil sudut kemiringan maka jarak deteksi akan semakin menurun dan sebaliknya. Semakin tinggi resolusi sebuah smartphone maka semakin stabil jarak deteksi marker dan semakin canggih prosesor dari smartphone maka semakin cepat smartphone dapat mendeteksi marker. Dari hasil kuesioner yang disebarkan kepada lima orang responden, didapatkan hasil bahwa responden menilai aplikasi memiliki tampilan yang menarik dan mudah untuk digunakan, fitur dan tombol pada aplikasi dapat bekerja dengan baik pada smartphone responden dan fitur favorit yang dipilih oleh responden adalah fitur belajar alat dan fitur langkah praktikum. Mayoritas responden praktikum rangkaian listrik (64%) sangat setuju bahwa aplikasi yang digunakan memiliki tampilan menarik dan dapat membantu kegiatan praktikum, serta fitur tugas pendahuluan dengan tampilan augmented reality dan interaksi aplikasi menarik bagi 90% responden. Selain itu, aplikasi tersebut memiliki fitur-fitur yang memenuhi kebutuhan praktikan dan dapat membantu proses pembelajaran.
Analisis potensi instalasi Pembangkit Listrik Tenaga Surya (PLTS) pada rooftop bank BNI kota Balikpapan Permai Kusuma, Vicky Andria; Suprapto, Sena Sukmananda; Karrang, Jenrychk Marcelino Tandi
JURNAL ELTEK Vol. 20 No. 1 (2022): April 2022
Publisher : Politeknik Negeri Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33795/eltek.v20i1.327

Abstract

Pemasangan sistem pembangkit listrik tenaga surya dilakukan untuk meningkatkan penerapan energi terbarukan dengan memanfaatkan energi surya. Tersedianya banyak kapasitas energi matahari di balikpapan yang dilewati oleh garis khatulistiwa, serta perkantoran perbankan yang memerlukan keandalan suplai energi menjadi alasan penelitian ini dilakukan. Hasil desain PLTS di gedung Bank BNI Balikpapan Permai telah terbukti memiliki potensi yang baik sehingga dapat terwujud bahkan dalam perubahan kondisi cuaca. Sistem PLTS memiliki total daya yang lebih besar dari total konsumsi daya di Gedung Bank BNI dengan konsumsi daya 33 kW, sedangkan untuk sistem PLTS pada November dayanya 50.784 kW dan daya yang dihasilkan pada Desember adalah 45.696 kW. Sehingga kantor BNI akan mendapatkan surplus daya sebesar 12.696 kW – 17.784 kW, dengan kapasitas total Solar Panel yang digunakan Sebesar 9840 kW. ABSTRACT The installation of a solar energy generation system is being carried out in order to increase the use of renewable energy through the use of solar energy. The availability of many solar power capacities behind the equator, as well as banks that require a reliable power supply, are the reasons for this research. The results of the PLTS design in the BNI Balikpapan Permai bank building have shown good potential to be implemented even in changing climatic conditions. The PLTS system has a total power higher than the total power consumption in the BNI bank building with a power consumption of 33 kW, while for the PLTS system in November the power is 50,78 kW and the power generated in December is 5,696 kW. This means that the BNI office receives an electricity surplus of 12,696 kW - 17,78 kW, with a total power of 9,8 0 kW from solar modules used.
Predicting tourist arrivals to a tropical island using artificial intelligence Suharto, Bambang; Edi Suharno, Novianto; Sinatriya Marjianto, Rachman; Firdaus, Aji Akbar; Suprapto, Sena Sukmananda; Andria Kusuma, Vicky; Amalia Sinulingga, Rizky
IAES International Journal of Artificial Intelligence (IJ-AI) Vol 14, No 2: April 2025
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijai.v14.i2.pp1022-1030

Abstract

This research leverages artificial intelligence (AI) techniques to develop a predictive model for forecasting tourist arrivals in East Java Province, Indonesia, using a comprehensive dataset encompassing historical tourism statistics from 2018 to 2020, seasonal trends, promotional campaigns, and various economic and social variables. The study evaluates three AI methodologies: artificial neural network (ANN), extreme learning machine (ELM), and Jordan recurrent neural network (JRNN), each known for their distinct strengths in processing complex data and adapting to changing trends. The comparative analysis reveals that the JRNN model outperforms others with the highest precision, achieving an average prediction deviation of just 2.98% from actual data, effectively capturing temporal and seasonal trends. The ANN follows closely with a deviation of 3.31%, showing strong capabilities in handling complex, nonlinear relationships. In contrast, the ELM, though fastest in training, exhibits a larger deviation of 10.51%, indicating a trade-off between speed and accuracy. These results highlight the potential of AI to significantly enhance the accuracy and operational efficiency of tourism forecasts, offering robust tools for stakeholders to engage in informed strategic planning and resource allocation in dynamic market conditions.
Co-Authors Alif Pradana Hakim Andria Kusuma, Vicky Arof, Hamzah Bambang Suharto Bambang Suharto Dimas Fajar Uman Putra Fadli Ama Firdaus, Aji Akbar Firillia Filliana Hamzah Arof Happy Aprillia Jenrychk Marcelino Tandi Karrang Karrang, Jenrychk Marcelino Tandi Kharis Sugiarto M. Ihsan Alfani Putra Mifta Nur Farid Muhaimin Muhaimin Muhamad Imron Zamzani Muhammad Agung Nursyeha Muhammad Nizhom Ramadhani Noni Oktiana Setiowati Priyanto, Yun Tonce Kusuma Putra, Dimas Fajar Uman Putra, Wahyu Haryanto Rachman Sinatriya Marjianto Risty Jayanti Yuniar Sigit Rahmat Rizalmi Sinulingga, Rizky Amalia Sugiarto, Kharis Suharno, Novianto Edi Susanto, Fajar Annas Teguh Herlambang Trimulya, Hanif Tuwaidan, Yosua Utami, Amalia Rizqi Vicky Andria Kusuma Wicaksono, Himawan Yuli Prasetyo