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All Journal Journal of ICT Research and Applications TESLA: Jurnal Teknik Elektro INSIST (International Series on Interdisciplinary Research) JURNAL Al-AZHAR INDONESIA SERI SAINS DAN TEKNOLOGI Jurnal Teknosains Kodepena (Kodepena Journal of Technoscience) Jurnal Pengabdian dan Kewirausahaan Jurnal Teknosains Kodepena (Kodepena Journal of Technoscience) Prosiding Seminar Nasional Pemberdayaan Masyarakat (SENDAMAS) Journal of Scientific Insights Exhibition and Seminar on Science and Creative Technology – Al Azhar Proceeding Jurnal Elektronika dan Telekomunikasi
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 Energy Engineering Environmental Science Health Professions Immunology & microbiology Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Public Health Social Sciences Other

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Subscriber Growth Forecasting of LTE Network 1800 MHz FDD at Denpasar City using Monte Carlo Simulation Suci Rahmatia; Azmi Azizah Azzahra; Muhammad Ismail; Dwi Astharini; Octarina Nur Samijayani
Jurnal Elektronika dan Telekomunikasi Vol. 19 No. 1 (2019)
Publisher : National Research and Innovation Agency

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14203/jet.v19.1-6

Abstract

LTE is the 8th technology officially developed by the 3rd Generation Partnership Project (3GPP). The LTE technology is a solution that is used by engineers to resolve the problems of improving the quality of communications services. The LTE technology able to deliver up to 300 Mbps and 75 Mbps for downlink and uplink, respectively. This study aims to determine the maximum subscriber connected for LTE network technology with capacity planning at 1800 MHz Frequency Division Multiplexing for subscriber growth forecasting in 2025 at Denpasar city. The simulation used Atoll radio network planning software with the Monte Carlo method. Monte Carlo was used to investigating the increase in user throughput according to customer distribution, path loss, and services provided. This simulation is based on traffic data from traffic maps, lists of subscribers and user penetration and cellular services. Monte Carlo simulation shows the results in 2017 which 99.8% of users were successfully connected and only 0.2% of users were rejected. For forecasting in 2025, 99.3% of users are successfully connected, and only 0.7% of users are rejected.
Zero-Waste Thinking in Digital Signal Processing: Reducing Computational, Data, and Energy Waste Amjat Al Baihaqi; Ibrohim Hasan; Damar Royyan Saputra; Sofian Hamid; Dwi Astharini
EXSACT-A Vol 3, No 1 (2025)
Publisher : Universitas Al Azhar Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36722/exc.v3i1.4587

Abstract

In the modern digital era, the concept of waste extends beyond the physical realm and into the digital domain, manifesting as redundant data, excessive computation, and continuous processing of unnecessary signals. This study introduces the application of zero-waste thinking to Digital Signal Processing (DSP), with a focus on minimizing computational, data, and energy waste in always-on audio systems. A lightweight, energy-aware Voice Activity Detection (VAD) method is proposed, utilizing signal energy and zero-crossing rate (ZCR) features to intelligently activate or suppress processing based on speech presence. MATLAB-based simulations were conducted to evaluate system performance under various noise conditions, measuring computational load, activation efficiency, and detection accuracy. The results show that the proposed approach significantly reduces unnecessary processing while maintaining reliable speech detection. This work offers a practical framework for sustainable and efficient DSP, contributing to the emerging paradigm of digital zero-waste systems.
Co-Authors Abdillah, Muhammad Hasya Afisha, Rifqy Ahmad Husin Lubis Ahmad Zulkarnaen Aina Sabrina Alamsyah, Rahmadina Alamtaha, Rahmat Amjat Al Baihaqi Andi Iswahyudi Anwar Mujadin Aprilia Tri Purwandari Arizka Arizka Ary Mayola Ary Syahriar Aryadi, Kian Assidqi, Nurul Imam Aulia, Tsaura Auni, Khairul Azmi Azizah Azzahra Azzahra, Azmi Azizah Bambang Kurniawan Budi Aribowo Damar Royyan Saputra Danny M Gandana Denny Hermawan Dharmawan, Fauzan Fadjar Iftikar Fiqri Ibrahim Amien Gandana, Danny M Hamid, Sofian Ibrahim Ibrahim Ibrohim Hasan Imam Wahyudi Indrawan, Imam Wahyudi Indrawan Arifianto Lubis, Ahmad Husin M. Hariomurti Mayola, Ary Moh. Ismail Mohamad Fauzi Radsanjani Muhammad Ismail Nasril Nasril Nasrullah Nasrullah Niken Parwati Nita Noriko 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 Shafira, Rizka Sofian Hamid 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