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All Journal Journal of ICT Research and Applications Jurnal Elektronika dan Telekomunikasi TESLA: Jurnal Teknik Elektro INSIST (International Series on Interdisciplinary Research) JURNAL Al-AZHAR INDONESIA SERI SAINS DAN TEKNOLOGI Jurnal Pengabdian dan Kewirausahaan Prosiding Seminar Nasional Pemberdayaan Masyarakat (SENDAMAS) Journal of Scientific Insights Exhibition and Seminar on Science and Creative Technology – Al Azhar Proceeding
Dwi Astharini
Electrical Engineering Department, Universitas Al Azhar Indonesia, Jalan Sisingamangaraja, Kebayoran Baru, Jakarta, Indonesia 12110
Agriculture, Biological Sciences & Forestry Arts Humanities Biochemistry, Genetics & Molecular Biology Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Public Health Social Sciences Other

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Performance of Interconnected Hybrid ZigBee-Optic for Extended Wireless Sensor Networks Octarina Nur Samijayani; Aina Sabrina; Raihan Zaky Thamrin; Dwi Astharini; Ary Syahriar
Journal of ICT Research and Applications Vol. 18 No. 1 (2024)
Publisher : DRPM - ITB

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5614/itbj.ict.res.appl.2023.18.1.5

Abstract

Wireless sensor networks (WSNs) are widely used to monitor remote areas far away from the monitoring center. For large-scale or high-capacity WSNs, when they contain many sensor nodes, a transmission system with low latency and large bandwidth is required. In order to extend the network range, the use of optical communication is one of the alternatives to provide more capacity and a longer range. This study discusses the performance of a range-extended WSN utilizing a hybrid of ZigBee and optic transmission. The performance of the proposed method was evaluated by analyzing the throughput, delay per meter, package loss, and error, which were then compared to a ZigBee-Wifi based system. The experimental results showed that the throughput of the hybrid ZigBee-Fiber Optic (ZigBee FO) system was about 12% greater than that of the ZigBee-Wifi system, and it transmitted the sensor data with a significantly lower delay, reduced by 83%, compared to the ZigBee-Wifi. The package loss and error of ZigBee-FO was 35.7% lower than that of ZigBee-Wifi. Based on these results, the ZigBee-FO WSN has the advantage of significantly improving network performance by reducing the transmission delay, therefore it is beneficial in extending the WSN range.
PROGRAM PEMBENTUKAN DAN PENGEMBANGAN WIRAUSAHA BERBASIS ICT DI FAKULTAS SAINS DAN TEKNOLOGI (FST), UNIVERSITAS AL AZHAR INDONESIA (UAI) Parwati, Niken; Tanjung, Widya Nurcahayanty; Safitri, Riri; Astharini, Dwi
Jurnal Pengabdian dan Kewirausahaan Vol 2, No 2 (2018): Jurnal Pengabdian dan Kewirausahaan
Publisher : Universitas Bunda Mulia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30813/jpk.v2i2.1360

Abstract

ABSTRACTEntrepreneurship initiating and development program as a supporter of university programs as an enterprising university is designed to produce new entrepreneurs from FST UAI students and alumni. The activity plan starts from initial mapping, training, strengthening and launching. Preliminary Mapping takes SWOT measurements to map current tenants' strengths and weaknesses, to maximize opportunities and minimize threats that also accompany them. Followed by the trainings in seven parts, namely, business planning, financial planning, marketing management, E-Commerce, product development, Branding, IPR, and Muslimpreneur. Strengthening Phase 1 is the FGD regarding improvements and innovations, expansion and diversification, efficiency and utilization. In strengthening phase 2 there was discussion of real problems faced by tenants. The activity ended with the launch of 6 new ICT-based entrepreneurs per year and the publication of results. Keywords: entrepreneur, syariah, ICT, UAI
Penerapan Teknologi Peningkatan Penggunaan Panel Surya untuk Energi Mandiri di Rumah Gemilang Indonesia Depok Astharini, Dwi; Auni, Khairul; Subakti, Subakti; Putra, Geordiano D.K.; Pranata, A.J.; Alamsyah, Rahmadina; Rahmatia, Suci; Lubis, Ahmad Husin
Prosiding Seminar Nasional Pemberdayaan Masyarakat (SENDAMAS) Vol 3, No 1 (2023): Desember 2023
Publisher : UniversitasAl Azhar Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36722/psn.v3i1.2548

Abstract

Rumah Gemilang Indonesia (RGI) adalah unit program pemberdayaan dan pusat pelatihan dalam binaan Lembaga Amil Zakat Nasional (LAZ) Al Azhar dengan format pesantren singkat. Pada kampus Depok yang merupakan kampus utama RGI, telah  dilakukan pemasangan solar panel pada 2022 untuk menghasilkan energi mandiri, namun masih terdapat permasalahan terkait perangkat penyimpanan energi dan pengaturan aliran energi ke beban dan ke penyimpanan. Pada kegiatan ini dilakukan penerapan teknologi yaitu peningkatan penggunaan solar panel di RGI Depok. Solusi yang ditawarkan adalah menyelesaikan permasalahan sistem penyimpanan daya oleh tim abdimas dengan melibatkan pihak RGI secara teknis. Langkah kegiatan meliputi pengambilan data teknis awal, penyiapan perangkat, instalasi, pemantauan, dan evaluasi. Keseluruhan pelaksanaan melibatkan mitra yaitu tutor, peserta, dan pengelola RGI. Kegiatan tahun 2023 telah meningkatkan pasokan panel surya harian dari 5.24 Kwh menjadi 16.25 Kwh, serta menambah fitur pemantauan system berbasis IoT yang meningkatkan keterlibatan mitra khususnya tim computer dan jaringan RGI.Kata kunci: Panel Surya, Energi Mandiri, Rumah Gemilang Indonesia, IoT
Honey Price Classification using K-Nearest Neighbor Machine Learning Budi Aribowo; Aprilia Tri Purwandari; Tsabitah, Nimah; Reudinta Zesha; Dwi Astharini
Journal of Scientific Insights Vol. 2 No. 1 (2025): February
Publisher : Science Tech Group

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.69930/jsi.v2i1.222

Abstract

The global honey market faces significant challenges due to price inconsistencies, which often do not correlate with the actual quality of the honey. This research aims to develop a honey price classification model based on quality using the K-Nearest Neighbor (K-NN) machine learning method. The contribution in this research is a machine learning model that can classify honey prices validated by measured variables of honey concentration. Data was collected on 14 types of honey, focusing on price per 100 ml, pcategorized into 'cheap' and 'expensive' classifications. Data processing includes statistical testing using T-Test to determine the significance of price differences, followed by applying the K-NN algorithm for classification. Model performance is evaluated using metrics such as accuracy, the Receiver Operating Characteristic (ROC) curve, a graph used to evaluate the performance of binary classification models, and the Area Under the Curve (AUC). The results show that the K-NN model achieves an optimal accuracy of 100% and an AUC of 1.00 when the K parameter is set to 3, indicating excellent classification ability. It is hoped that these findings will increase market transparency, set fairer price standards, and help consumers and producers in making decisions in purchasing honey.
GUI Design for Comparative Output Signal DFT and DTFT with LabVIEW Astharini, Dwi; Aulia, Tsaura; Wulandari, Putri; Alamtaha, Rahmat; Afisha, Rifqy
International Series on Interdisciplinary Science and Technology Vol. 4 No. 1 (2019)
Publisher : Universitas Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/ins.v4i1.210

Abstract

An application GUI (Graphical User Interface) is designed as a software simulation to compare the output signal of DFT and DTFT. DFT (Discrete Fourier Transform) and DTFT (Discrete Time Fourier Transform) are part of the digital signal processing. Digital signal processing is an analog signal processing method uses a mathematical technique to perform a transformation or retrieving information in digital form. One of the benefits of digital signal processing is to facilitate the representation of the signal, because the signal in digital form will be more visible, easily processed and has high accuracy. This GUI application designed using LabVIEW from National Instruments.  LabVIEW is a software graphical programming or a block diagram. LabVIEW program known as VI or Virtual Instrument. The input signal in this application is a square signal
Strategi Efisiensi Konsumsi Listrik di RS Pertamina Panorama Balikpapan dengan Metode Fuzzy Logic Romilado, Fither; Effendi, Yunus; Astharini, Dwi
JURNAL Al-AZHAR INDONESIA SERI SAINS DAN TEKNOLOGI Vol 10, No 3 (2025): September 2025
Publisher : Universitas Al Azhar Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36722/sst.v10i3.4781

Abstract

Hospitals play a vital role in providing promotive, preventive, curative, and rehabilitative healthcare services. The highest electricity consumption in hospitals comes from lighting and air conditioning systems, thus requiring the implementation of an energy efficiency culture and appropriate technology selection to achieve environmentally friendly (green hospital) operations. This study aims to analyze the potential of applying energy efficiency culture and technology selection as well as to recommend strategies for reducing operational costs and developing energy-saving SOPs as part of green hospital practices. The fuzzy logic approach was applied to measure the level of energy efficiency at Pertamina Panorama Hospital Balikpapan, considering technological, electrical, mechanical and operational cost indicators. Data were collected from questionnaires distributed to 70 hospital staff to evaluate how energy-saving culture and technology choices support green hospital implementation. The results show that the adoption of technologies such as BMS, Smart Energy, Smart Material, Smart Water, Smart Waste, IEQ and Resilience & Safety reduced maintenance costs by 10–20%, despite an initial investment increase of 5–15%. The centroid fuzzy logic analysis yielded a crisp value of 84.7%, indicating efficient electricity consumption. The synergy between efficiency culture, modern technology, and cost strategies makes hospitals more energy-efficient, environmentally friendly and sustainable.Keywords - Efisiensi Energi, Fuzzy Logic, Green Building, Green Hospital.
Light-Based Positioning System Using Arduino Assidqi, Nurul Imam; Astharini, Dwi; Hamid, Sofian; Hermawan, Denny; Aribowo, Budi
EXSACT-A Vol 1, No 1 (2023)
Publisher : Universitas Al Azhar Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36722/exc.v1i1.2286

Abstract

The Light Positioning System (LPS) represents an innovative technology employed for precise object localization by utilizing light as a positional reference. This method encompasses the utilization of light sources, such as LED lights or other visible light emitters, which can be strategically positioned at various orientations and angles. This research centers on the practical implementation of the LPS paradigm through the application of Arduino. Additionally, the study involves the integration of the Kalman filter algorithm within the Arduino framework to enhance the accuracy of sensor data estimations. The LPS implementation employs distinct sensors, namely the Photoresistor LM393, Photodiode LM393, and TF-Luna Lidar. The programming is accomplished using the Arduino Integrated Development Environment (IDE), while the hardware framework is based on the Arduino Mega 2560 microcontroller. In this research, the ESP32 module plays a pivotal role as it establishes a seamless connection between the sensor data and the Blynk platform. This integration empowers effective and comprehensive data monitoring and analysis, facilitating real-time tracking and evaluation of the LPS system's performance. The photoresistor exhibits better reading accuracy compared to the photodiode, as evident from the obtained RMSE values. The KF PR with 16 LEDs has the smallest RMSE value, which is 0,03. The TF-Luna LiDAR sensor readings are more accurate and effective under well-lit conditions as opposed to low-light conditions. The RMSE value at lux 160 is 1,28 , while the RMSE value at lux 2 is 3,32
Product Defect Detection using Image Template Matching with MATLAB Abdillah, Muhammad Hasya; Sabilah, Muhammad Arip Putra; Suherman, Andika; Astharini, Dwi
EXSACT-A Vol 1, No 1 (2023)
Publisher : Universitas Al Azhar Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36722/exc.v1i1.2344

Abstract

Abstract— In industrial manufacturing processes, ensuring the quality of products is crucial. This paper proposes a system for detecting defects in products using image template matching techniques implemented in MATLAB. The system's primary function is to compare captured images of products with predefined templates to identify potential defects accurately. The method employed in this system is template matching, a well-established approach in image analysis that allows for efficient defect detection. MATLAB, a widely used software tool for image processing, provides the necessary functionality and a robust set of algorithms to implement the proposed system. The experimental results demonstrate the effectiveness of the approach in detecting various types of defects, such as scratches, cracks, and misalignments. This defect detection system offers a reliable and automated solution for improving the efficiency and productivity of manufacturing industries. By enabling early detection and intervention, it contributes to enhancing product quality control and minimizing defective outputs, ultimately leading to cost savings and customer satisfaction. Keywords— Defect Detection; MATLAB; Template Matching; Image Processing
FPGA Implementation of Kalman Filter for Visible Light Wahyudi, Imam; Astharini, Dwi; Gandana, Danny M; Hamid, Sofian; Hermawan, Denny; Aribowo, Budi
EXSACT-A Vol 1, No 1 (2023)
Publisher : Universitas Al Azhar Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36722/exc.v1i1.2280

Abstract

Visible Light (VL) has received significant attention due to its benefits in energy efficiency, wide bandwidth availability, and resistance to electromagnetic interference. This final project discusses VL utilizing the Kalman Filter (KF) to predict and estimate the position of related data. The development of the VL method is carried out using Xilinx FPGA Arty A7 hardware, and the KF implementation is carried out in a two-dimensional framework with the Linear KF approach. The main objective of this Final Project is to implement VL using Photodetectors (Photodiode and Photoresistor LM393) on FPGA. The use of Xilinx FPGA Arty A7 hardware and Xilinx SDK software provides the flexibility and reliability required for system implementation. The results indicate that the implementation of Xilinx FPGA Arty A7-35T with KF and the use of 16 LED and 8 LED configurations yield relatively accurate estimations. While the Photodiode LM393 (PD LM393) sensor does not exhibit superior results compared to the Photoresistor LM393 (PR LM393) sensor, this research effectively optimizes light measurements by utilizing the sensor and KF algorithm. The Root Mean Squared Error (RMSE) results show that for the system with 16 LEDs, KF with PR LM393 has an RMSE of approximately ). This RMSE value indicates that KF with PR LM393 can provide relatively more accurate estimations. Similarly, for the system with 8 LEDs, KF with PR LM393 has an RMSE of around ). In this case, KF with PR LM393 again provides relatively more accurate estimations. Meanwhile, the RMSE result for 2D KF in this system is approximately ), indicating that the KF estimation has a relatively small error value compared to the actual measurement value. This demonstrates that KF effectively reduces noise and measurement data fluctuations in the LM393 Photodetector system with 16 LEDs.
Design Simulation of Automatic Lifted Bridge System using Arduino Uno Kurniawan, Bambang; Aryadi, Kian; Putra, Dwi; Astharini, Dwi
EXSACT-A Vol 1, No 1 (2023)
Publisher : Universitas Al Azhar Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36722/exc.v1i1.2301

Abstract

The existence of bridges is needed as a means to connect interrupted paths separated by rivers, ravines, or the sea. On the one hand, the existence of bridges is sometimes an obstacle for large ships whose shipping lanes are blocked by bridges, so a bridge is needed that is able to move up to facilitate shipping to the lane. Usually, this raised bridge system is operated manually by the operator, so it is still inefficient. In this paper, we try to create a prototype design using an Arduino Uno microcontroller that displays an automatic raised bridge system. When a large ship is detected to be passing through the bridge, the system will give a warning that traffic on the bridge will be temporarily stopped with a red traffic light marked and the portal for motorists will be closed and then continued with the bridge open to ships. But if it is detected that there are still vehicles on the bridge, then the system will warn the ship to stop for a moment waiting for conditions or conditions on the bridge to become conducive, and then the bridge opens. After the ship has been detected far away from the bridge, the system and traffic on the bridge will return to normal.
Co-Authors Abdillah, Muhammad Hasya Afisha, Rifqy Ahmad Husin Lubis Ahmad Zulkarnaen Aina Sabrina Alamsyah, Rahmadina Alamtaha, Rahmat Andi Iswahyudi Anwar Mujadin Aprilia Tri Purwandari Arizka Arizka Ary Mayola Ary Syahriar Ary Syahriar Aryadi, Kian Assidqi, Nurul Imam Aulia, Tsaura Auni, Khairul Azmi Azizah Azzahra Azzahra, Azmi Azizah Bambang Kurniawan Budi Aribowo Danny M Gandana Denny Hermawan Dharmawan, Fauzan Fadjar Iftikar Fiqri Ibrahim Amien Gandana, Danny M Hamid, Sofian Ibrahim Ibrahim Imam Wahyudi Indrawan, Imam Wahyudi Indrawan Arifianto Lubis, Ahmad Husin M. Hariomurti Mayola, Ary Mohamad Fauzi Radsanjani Muhammad Ismail Muhammad Ismail Nasril Nasril Nasrullah Nasrullah Niken Parwati Pranata, A.J. Pratondo Busono Putra, Dwi Putra, Geordiano D.K. PUTRI WULANDARI Putri Wulandari Putri Wulandari Rahmat Alamtaha Rahmatia, Suci Raihan Zaky Thamrin Raja P Batubara Ramadhan, Fahri Reudinta Zesha Rifqy Afisha Riny Alfina Riri Safitri Romilado, Fither Rona Regen Sabilah, Muhammad Arip Putra Samijayani, Octarina Nur Stirman, Aini Nur Rachimah Subakti, Subakti Suci Rahmatia Suherman, Andika Surya Agam Tanjung, Widya Nurcahayanty Tio Apridinata Tsabitah, Nimah Tsaura Aulia Yaya Suryana Yaya Suryana Yunus Effendi