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All Journal International Journal of Electrical and Computer Engineering IAES International Journal of Artificial Intelligence (IJ-AI) JURNAL ITENAS REKAYASA REKA ELKOMIKA TELKOMNIKA (Telecommunication Computing Electronics and Control) Bulletin of Electrical Engineering and Informatics ELKOMIKA: Jurnal Teknik Energi Elektrik, Teknik Telekomunikasi, & Teknik Elektronika PROtek : Jurnal Ilmiah Teknik Elektro JETT (Jurnal Elektro dan Telekomunikasi Terapan) ComTech: Computer, Mathematics and Engineering Applications Indonesian Journal of Electrical Engineering and Computer Science REKA ELKOMIKA: Jurnal Pengabdian kepada Masyarakat
ARSYAD RAMADHAN DARLIS
Institut Teknologi Nasional Bandung
Computer Science & IT Control & Systems Engineering Education Electrical & Electronics Engineering Energy Engineering Industrial & Manufacturing Engineering Mathematics

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Implementasi Visible Light Communication (VLC) Pada Sistem Komunikasi DARLIS, ARSYAD RAMADHAN; LIDYAWATI, LITA; NATALIANA, DECY
ELKOMIKA: Jurnal Teknik Energi Elektrik, Teknik Telekomunikasi, & Teknik Elektronika Vol 1, No 1: Published January - June 2013
Publisher : Institut Teknologi Nasional, Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26760/elkomika.v1i1.13

Abstract

ABSTRAKPerkembangan teknologi telah menunjukkan peningkatan yang cukup signifikan, terutama untuk bidang komunikasi. Hal ini terbukti dengan banyaknya media komunikasi baik itu nirkabel dan kabel. Pada penelitian ini dimanfaatkan cahaya tampak sebagai media dalam sistem komunikasi, dimana selama ini cahaya hanya digunakan sebagai penerangan saja. Visible Light Communication (VLC) adalah sebuah teknologi komunikasi yang memanfaatkan pancaran cahaya tampak dari lampu pada sistem komunikasi. Sistem komunikasi visible light ini terdiri dari pemancar dan penerima. Pemancar terdiri dari Light Emitting Dioda, audio transformator dan baterai, dan pada penerima terdiri dari solar cell dan photodioda, amplifier dan catu daya. Hal-hal yang dapat mempengaruhi hasil output sistem komunikasi adalah jarak, terang cahaya lampu pemancar dan cahaya luar. Pada penelitian ini, komunikasi menggunakan VLC dapat dilakukan pada jarak pengiriman data sebesar 2,5 m dan dengan range frekuensi 600 Hz sampai dengan 45 kHz dimana data dapat disalurkan dengan baik.Kata kunci: Visible light, Sistem komunikasi, Light Emitting Dioda, solar cell, photodioda.ABSTRACTTechnological developments have shown a significant increase, especially in the field of communication. This is proved by the many communications media using both wireless and wired. This study utilized the visible light as a medium of communication system, which has been used as an illumination light only. Visible Light Communication (VLC) is a communication technology which utilize visible light emitted from the lamp in the communication system. The visible light communication system consists of a transmitter and receiver. The transmitter consists of a Light Emitting Diode, audio transformer and battery, and the receiver consists of a solar cell and a photodiode, amplifier and power supply. Things that can affect the output of the communication system is the distance, bright light and outdoor light. In the research, the results that obtained from this study is the data transmission distance of 2.5 m and a frequency range of 600 Hz to 45 kHz data can be routed properly.Keywords:  Visible light, Communication systems, Light Emitting Dioda, solar cell, photodioda.
Perancangan Jaringan FTTB di Telkom DDS Bandung Sebagai Sistem Layanan GPON Samudra, Muhammad Bagus; Darlis, Arsyad Ramadhan
PROtek : Jurnal Ilmiah Teknik Elektro Vol 5, No 1 (2018): 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.v5i1.470

Abstract

Teknologi fiber optik telah berkembang dengan pesat, salah satunya adalah teknologi GPON (Gigabit passive optical network) yang dapat memberikan layanan telekomunikasi dengan bandwidth yang besar dan berkecepatan tinggi. Fiber To The Building (FTTB) adalah salah satu penerapan teknologi GPON dimana fiber optik didistribusikan ke gedung-gedung. Untuk memberikan layanan GPON dari sumber layanan ke pelanggan diperlukan informasi mengenai topologi FTTB pada suatu jaringan agar diketahui penjaluran kabelnya pada setiap perangkat yang terpasang. Maka dari itu, topologi FTTB merupakan salah satu hal yang penting untuk memudahkan  teknisi ketika harus melakukan sambungan antar perangkat pada jaringan. Pemberian layanan GPON dari sumber akan melewati satu jalur optik yang akan melewati beberapa perangkat pada port yang sesuai hingga mencapai pelanggan. Sambungan yang berhasil dapat dilihat pada indikator lampu yang ada pada ONT. Warna lampu akan berubah menjadi hijau ketika ONT telah terhubung dengan layanan GPON.
Counseling on Transformer Learning Activities at SMK Kartika XIX Bandung Jambola, Lucia; Darlis, Arsyad Ramadhan; Lidyawati, Lita; Fauziah, Dini; Susana, Ratna
REKA ELKOMIKA: Jurnal Pengabdian kepada Masyarakat Vol 6, No 2 (2025): Reka Elkomika
Publisher : Institut Teknologi Nasional, Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26760/rekaelkomika.v6i2.154-161

Abstract

Comprehending transformers is essential due to their critical function in contemporary electrical systems, including power distribution, battery charging, and diverse technological applications. This counseling aimed to enhance the educational program and deepen the understanding of SMK Kartika XIX-1 Bandung students concerning the operational principles of transformers. The employed approaches encompass the provision of resources, demonstrations, simulations, and evaluations. The results indicated that prior to the counseling, 100% of students had not participated in a transformer simulation. Following the simulation, 50% of students comprehended the concept of a transformer. This coaching is for students to comprehend the fundamental theory of transformers and to apply this information practically, so enhancing their readiness to confront workplace challenges.
Actuators, IoT and IP Address as Training in Actuators, IoT and IP Address for Senior High School Teachers and StudentsBasic Industrial Instrumentation Waluyo, Waluyo; Widura, Andre; Aryanta, Dwi; Darlis, Arsyad Ramadhan; Subarna, Nana; Rustamaji, Rustamaji; Sawitri, Kania; Fauziah, Dini; Syahrial, Syahrial; Syafitri, Niken; Hadiatna, Febrian
REKA ELKOMIKA: Jurnal Pengabdian kepada Masyarakat Vol 1, No 1 (2020): REKA ELKOMIKA
Publisher : Institut Teknologi Nasional, Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26760/rekaelkomika.v1i1.10-24

Abstract

The third mission of a university is a community service. Based on this mission, this paper presents the activity of community service. The activity was training for senior high school students and teachers. The subjects of the training are actuators, IoT, and IP address. These components or subsystems are very important basic industrial instrumentation for further automation. These subsystems are very correlated with each other. Some actuators are electric, hydraulic, and pneumatic types. There are many applications of IoT and IP addresses, such as smart grids and communications.
Shallot disease classification system based on deep learning Lidyawati, Lita; Darlis, Arsyad Ramadhan; Munawaroh, Sofa Jauharotul
Bulletin of Electrical Engineering and Informatics 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/eei.v14i2.8498

Abstract

Shallot is one of the important horticultural commodities for society and has high economic value. The problem with shallot cultivation is disease attacks on plants, one of which is Fusarium wilt. With the condition that the shallot commodity at the farmer level has a high failure rate, it is hoped that this research can assist farmers in providing information about shallot plants that have diseased plant characteristics using deep learning system convolutional neural network (CNN) method by utilizing leaf images on shallot plants. This research was conducted using the ResNet-18 architecture, with a total of 400 data in the dataset divided into 2 categories, namely healthy and diseased Fusarium wilt. The device used to carry out the classification process in this research is a Jetson Nano 2 GB. The ratio used to form a model from the dataset is 80-20 (80% training data and 20% validation data). The accuracy results for the classification of shallot plant diseases using real-time leaf images during the day have an average accuracy value of 68% on healthy plants and 62% on Fusarium wilt plants, while at night it has an average accuracy value of 53% on healthy plants and 47% on Fusarium wilt plants.
Classification system of banana types and ripeness levels based on convolutional neural network Jambola, Lucia; Darlis, Arsyad Ramadhan; Malaha, Windi; Aryanta, Dwi
IAES International Journal of Artificial Intelligence (IJ-AI) Vol 14, No 6: December 2025
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijai.v14.i6.pp4891-4901

Abstract

Recently, the availability of bananas in supermarkets has been relatively abundant. However, most buyers experience problems categorizing the type and level of ripeness of bananas, so the level of purchases of this fruit decreases. This study implements a system that can automatically classify bananas based on type and level of ripeness so that buyers can choose them based on their needs. In this study, the proposed system could classify the types and degrees of banana ripeness using a Convolutional Neural Network (CNN) where the system was implemented in real-time using the hardware of the Jetson Nano as a processing unit and a camera system as a sensor. The methodology adopted in this research involves implementing CNN architectures, i.e., ResNet-18 and ResNet-50, under various conditions. The training phase comprises 60 epochs, while testing considers illumination parameters from LED lights with power of 6 watts, 12 watts, and 22 watts under distances ranging from 10 to 100 cm. The results show that the system could classify the type and level of ripeness of bananas in real-time with an accuracy of 93% that is achieved using the 22-watt power for all type and ripeness levels. 
Co-Authors ABIBI, MUHAMMAD HIDAYAT ABIMANYU, AHMAD Adisty Hanny Asri AHMAD ARSYAD Andre Widura ANITA PURNAMA SARI ARCHANDHIKA, HEGAR REFALDY ARDHIANSYAH PRATAMA, ARDHIANSYAH ASMARINA MUSHLIHA JAYA BIMA BIMA, BIMA BUDI PRATAMA, BUDI DECY NATALIANA Denny Darlis DEWI, IRMA AMELIA DIMAS PRIYAMBODHO, DIMAS DWI ARYANTA DWIPUTRA, REZA FADILAH Enceng Sulaeman FADDIA NURA PUTRI Fauziah, Dini FEBRIAN HADIATNA HARIANTI ASRI DEWI, HARIANTI ASRI HUSAENI, DZIKRI FACHRI JAPE ATHAN BANGUN Kania Sawitri KRISTIANA, LISA LEONARD TAMPUBOLON LITA LIDYAWATI LUCIA JAMBOLA Malaha, Windi Muhamad Rifan Andrian Munawaroh, Sofa Jauharotul Nana Subarna, Nana Niken Syafitri NUGRAHA YURANDI NURUL WULANDARI POERNOMO TRISAPTO pribadi, aditya arif RATNA SUSANA Rea Ramada Jayandanu RUSTAMAJI RUSTAMAJI Samudra, Muhammad Bagus SHOLIHAH, TRIANI RAKHMANIAH SOLIHIN SUPARMAN, SOLIHIN SYAHRIAL SYAHRIAL Tedi Hadyansyah Waluyo Waluyo Widura, Andre WIRDA SRI FARHANI, WIRDA SRI YUNUS, EKA MUHAMMAD Zulqifli Maulana