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All Journal Journal of Applied Information, Communication and Technology (JAICT) CYCLOTRON Jurnal Pengabdian kepada Masyarakat Nusantara Jurnal Informatika: Jurnal Pengembangan IT Scientific Journal of Informatics
Irfan Mujahidin
Politeknik Negeri Semarang
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Electrical & Electronics Engineering Energy Engineering Social Sciences

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Workshop Pemanfaatan Sel Surya sebagai Sumber Energi Listrik pada Siswa SDN Bugangan 03 Semarang Eriko Arvin Karuniawan; Friska Ayu Fitrianti Sugiono; Pangestuningtyas Diah Larasati; Adeguna Ridlo Pramurti; Eri Eli Lavindi; ‪Rio Devilito; Suko Tyas Pernanda; Irfan Mujahidin
Jurnal Pengabdian kepada Masyarakat Nusantara Vol. 3 No. 2.2 (2023): Jurnal Pengabdian kepada Masyarakat Nusantara
Publisher : Sistem Informasi dan Teknologi (Sisfokomtek)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (878.072 KB)

Abstract

Salah satu kegiatan wajib bagi pendidik di Perguruan Tinggi dalam melaksanakan Tri Dharma Perguruan Tinggi adalah melakukan pengabdian kepada masyarakat. Pada kesempatan ini telah dilakukan Workshop Pemanfaatan Sel Surya sebagai Sumber Energi Listrik pada Siswa SDN Bugangan 03 Semarang sebagai salah satu bentuk pengabdian kepada masyarakat. Ditengah isu tentang semakin menipisnya ketersediaan energi fosil, kemunculan sumber energi terbarukan (EBT) menjadi penting. Pengenalan EBT perlu dilakukan bahkan ditingkat Sekolah Dasar. Sel surya merupakan sumber EBT yang banyak dimanfaatkan terutama dalam penerangan jalan, dan beberapa kebutuhan listrik di wilayah yang kaya akan sumber energi Matahari. Oleh sebab itu pada kegiatan pengabdian kepada masyarakat kali ini dilakukan workshop pemanfaatan sel surya dengan tujuan agar siswa SDN Bugangan 03 dapat mengenal secara langsung apa itu sel surya dan pemanfaatannya dalam menghasilkan energi listrik.
Radio over Fiber Systems in Cellular Communications: A Systematic Literature Review and Research Agenda Irfan Mujahidin; Fahmi Baihaqi; Eni Dwi Wardihani
CYCLOTRON Vol 6 No 2 (2023): CYCLOTRON
Publisher : Universitas Muhammadiyah Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30651/cl.v6i2.19516

Abstract

A technology combining wireless communications and fiber optics to transmit radio frequency signals via fiber optic networks is called the Radio Over Fiber system. Capacity, range, reliability, and flexibility of the communication system are advantages offered by this method. Converting RF signals to optical signals using an optical modulation technique is a basic principle of the RoF system, in which they are then transmitted over fiber optic cables. Then, with the use of an optic detector and demodulation technique, that signal is restored to an RF signal at the receiving end. In RoF systems, the reduction of power loss and signal amplification is achieved through optical fiber, which allows transmission over long distances without loss of signal quality. Applications of the RoF system are cellular networks, satellite communications, and remote sensors. In cellular networks, the application of RoF such as expanding cellular network coverage, wireless backhaul, and increasing network capacity. In range expansion, RoF enables the transmission of RF signals from a base station to a remote receiving station via optical fiber, overcoming distance barriers and signal attenuation that occurs in traditional RF transmission. In wireless backhaul, RoF is used to connect base stations with the core network via optical fiber, providing higher capacity and reliability compared to traditional wireless backhaul. To increase network capacity, RoF can move its signal processing and amplifier toward the final users to enhance the data speeds and capacities of cellular networks. It is intended that readers will be able to learn more about Radio Over Fiber systems and their potential for improving the performance of a wireless radio network, as well as how this technology can increase its signal quality when it comes to mobile communications. With the continuous development of RoF technology, it is expected that there will be significant improvements to cellular communication services in the future.
Wireless Network Channel Interference for Mobile Communication: a Systematic Literature Review and Research Agenda Irfan Mujahidin; Ivandi Julatha Putra
JAICT Vol 8, No 2 (2023)
Publisher : Politeknik Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32497/jaict.v8i2.4671

Abstract

The development and renewal of wireless technology is currently a necessity. Wifi technology has now reached wifi 6. Network infrastructure is currently the main thing in the process of distributing data using wireless media to mobile phone or laptop users. By looking at the need for wireless in offices, schools, public places, hospitals, and indoor or outdoor buildings that use a large number of access point devices. Based on a review of existing research obtained problems and opportunities for development, this literature study taken from 25 journal articles aims to be able to plan the construction of wireless network infrastructure so that channel interference does not occur. Research on wireless network channel interference has been carried out in several scenarios, for example, by increasing the number of wireless networks in adjacent areas, providing obstacles, and managing different channels. The eight most common methods used in wireless network channel interference research are descriptive analysis, comparative study, method analysis, model development, case studies, regression models, literature studies, and optimization. Research related to wireless network channel interference can still be further developed by using the latest wireless technology which can simultaneously test existing channel interference
Performance Evaluation a High gain 16dB Square 4x4 Array design Microstrip Antenna for Communication System Irfan Mujahidin
JAICT Vol 8, No 2 (2023)
Publisher : Politeknik Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32497/jaict.v8i2.5080

Abstract

The increased gain in the antenna of the directional radiation pattern microstrip design using the 4x4 element array method was proposed in this study. The proposed antenna is designed to work in the frequency range of 11300 – 11650 MHz for wearable communication systems using microwave radio transmission channels. To increase gain, the proposed antenna in optimization uses an array with 4x4 elements. From the results of the design structure, a return loss value of -35.61 dB and a VSWR of 1.1227 was obtained. The resulting bandwidth of a 4x4 element array antenna is 250. the impedance of 50.77 + h 2.88 Ω at a working frequency of 11.5GHz. The gain of the 4x4 element array antenna is 16.25 dB at a working frequency of 11500 MHz, and its maximum gain is 16.5 dB at a working frequency of 11700 MHz. Optimization with the 4x4 element array method managed to increase Gain up to 65.76% compared to the 2x2 element array design. The proposed antenna is suitable as a candidate for use in microwave radio communication systems, IoT, and Wearable antennas.
Optimizing Fall Detection System as an Early Warning System for the Elderly to Enhance Quality of Life Sidiq Syamsul Hidayat; Fadhil; Irfan Mujahidin; Mohammad Faizin Zaini; Rahmalisa Suhartina
Scientific Journal of Informatics Vol. 11 No. 2: May 2024
Publisher : Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/sji.v11i2.3716

Abstract

Purpose: The main objective of this research is to develop a fall detection system and improve rapid emergency response or early warning systems for falls in the elderly. Methods: In this research, the waterfall method was used for image analysis to detect falls with high accuracy. We also used Raspberry Pi 3, and OpenCV3 to set up a server to receive fall detection alerts and forward them to email. Results: This system integrated a camera mounted on a Raspberry Pi 3 to continuously monitor the area captured by the camera. In the fall detection system, the results of testing with data showed that the system accuracy was 72.22%, sensitivity 72.72%, and error 27.77%. Novelty: The approach this research adopted can be used in a variety of settings, including home healthcare, elderly care facilities, or places that require safety monitoring. With this system, we hope to improve rapid response in emergency situations, thereby protecting and improving the quality of life for people in need.
Application of Optimization Algorithm to Machine Learning Model for Solar Panel Output Power Prediction: A Review Irfan Mujahidin; Fikri Arif Rakhman
Jurnal Informatika: Jurnal Pengembangan IT Vol 9, No 2 (2024)
Publisher : Politeknik Harapan Bersama

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30591/jpit.v9i2.7051

Abstract

Solar panels have become a popular source of renewable energy due to their sustainability and environmental friendliness. Accurate predictions of solar panel output are crucial for various applications, such as energy system optimization, power grid management, and economic planning. Many important factors pose challenges in predicting the output of solar panels, such as weather conditions that can change at any time, geographical factors, data quality, and the duration of data collection. Machine learning (ML) models show promising performance in this prediction; there are many types of machine learning models, some are single models and others are hybrid models. Optimization algorithms are used to optimize parameters and improve the prediction accuracy of machine learning models. This research reviews fifteen journals that have been filtered to obtain those discussing optimization algorithms in the predictive models of solar panel output power. This journal will examine the optimization algorithms used in machine learning models for predicting solar panel output power, discussing various types of optimization algorithms, their application in machine learning models, the prediction results from these models, the input data used, and the data collection locations that significantly influence the prediction outcomes. From the results of this research, it does not conclude which machine learning model is the best, due to the many factors that influence it. However, this research is expected to provide references on the application of machine learning models in predicting the output power of solar panels, thereby encouraging the use of renewable energy sources.
Monitoring System for Website-Based Micro Hydro Power Plant using Firebase Sidiq Syamsul Hidayat; Heri Bertus Mulyaman; Budi Basuki; Irfan Mujahidin; M. Cahyo Adi Prabowo; Melisa Yufit Lestari; Fikri Arif Rakhman
Jurnal Informatika: Jurnal Pengembangan IT Vol 9, No 2 (2024)
Publisher : Politeknik Harapan Bersama

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30591/jpit.v9i2.6542

Abstract

The use of electrical energy is a basic need for everyone. Micro Hydro Power Plant is one of the technologies that has developed recently. This technology has little adverse impact on the environment. This plant utilizes flowing water, discharge from water, and water pressure. The highlands or mountainous areas where there is flowing water. This water flow can be used as a driving force to drive a turbine, which is the driving force for this power plant because the generator uses a generator that requires motion power to generate electricity. Because this plant utilizes flowing water as a power source to drive a turbine and turn a generator. So basically, where there is running water, there is electricity. Moreover, micro Hydro does not need to build large reservoirs like hydropower. The purpose of making this system is to make it easier to check the condition of the MHP equipment and record the data obtained from the sensors that have been installed. This Website was successfully implemented using HTML, PHP, Firebase Database, CSS, JavaScript, JSON, etc. This Website will use the waterfall method, which consists of observation and needs analysis, system design, modeling, implementation and coding, testing, and maintenance
Co-Authors Adeguna Ridlo Pramurti Budi Basuki Eni Dwi Wardihani Eri Eli Lavindi Eriko Arvin Karuniawan Fadhil Fahmi Baihaqi Fikri Arif Rakhman Fikri Arif Rakhman Friska Ayu Fitrianti Sugiono Heri Bertus Mulyaman Ivandi Julatha Putra M. Cahyo Adi Prabowo Melisa Yufit Lestari Mohammad Faizin Zaini Pangestuningtyas Diah Larasati Rahmalisa Suhartina Sidiq Syamsul Hidayat, Sidiq Syamsul Suko Tyas Pernanda ‪Rio Devilito