Article Per Year (5 Year)
p-Index From 2021 - 2026
0.92
P-Index
This Author published in this journals
All Journal International Journal of Electrical and Computer Engineering JURNAL ELEKTRO Jurnal Penelitian Pendidikan IPA (JPPIPA) SOROT: Jurnal Pengabdian Kepada Masyarakat Journal of Informatics and Communication Technology (JICT)
Putri Rahmawati
Universitas Telkom, Jakarta, Indonesia
Agriculture, Biological Sciences & Forestry Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Education Electrical & Electronics Engineering Engineering Materials Science & Nanotechnology Mathematics Mechanical Engineering Physics Other

Published : 5 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 5 Documents
Search

 1 
Analisis Perancangan Jaringan 5G New Radio Dengan Frekuensi 700 MHz di Kota Bandung Rahmawati, Putri; Lia Hafiza; Muhammad Adam Nugraha
Journal of Informatics and Communication Technology (JICT) Vol. 7 No. 1 (2025)
Publisher : PPM Telkom University

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Penelitian ini berfokus pada analisis perancangan jaringan 5G New Radio (NR) dengan frekuensi low band 700 MHz di Kota Bandung. Perencanaan jaringan dilakukan dengan pendekatan analisis coverage untuk menentukan jumlah gNodeB yang diperlukan. Perhitungan meliputi link budget, penerapan model propagasi 3GPP 38.901 UMa (Urban Macro) dengan skenario Line of Sight (LOS), cell radius, dan coverage area per gNodeB. Simulasi menggunakan perangkat lunak Atoll dilakukan untuk memverifikasi perancangan, dengan pengukuran parameter SS-RSRP dan SS-SINR sebagai indikator performa jaringan. Hasil perhitungan menunjukkan bahwa untuk mencakup seluruh wilayah Kota Bandung dengan luas 167,31 km², diperlukan 30 gNodeB untuk uplink dan 10 gNodeB untuk downlink. Hasil simulasi menunjukkan nilai SS-RSRP rata-rata -97,59 dBm dengan standar deviasi 12,35 dB dan nilai SS-SINR rata-rata 14,37 dB dengan standar deviasi 8,01 dB, keduanya memenuhi standar KPI untuk implementasi jaringan 5G. Kesimpulannya, perancangan jaringan 5G NR dengan frekuensi 700 MHz di Kota Bandung terbukti efisien dan layak diimplementasikan, dengan keunggulan jangkauan yang luas dan penetrasi bangunan yang baik, sesuai dengan karakteristik kota yang memiliki kepadatan bangunan tinggi dan topografi beragam.
Performance Analysis of a Unidirectional Double E-Shaped Microstrip Antenna in the ISM Band Natalia; Kamelia Quzwain; Levy Nur Olivia; Putri Rahmawati
Jurnal Penelitian Pendidikan IPA Vol 11 No 8 (2025): August
Publisher : Postgraduate, University of Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jppipa.v11i8.12118

Abstract

This research explores the design and simulation of a unidirectional double E-shaped microstrip antenna (MSA) operating at 5.8 GHz. The antenna was designed using CST Studio Suite, with Rogers RT 5880 as the substrate material due to its favorable dielectric properties. The design process involved adjusting the patch geometry by introducing slots to enhance bandwidth and gain. Simulation results show a return loss of −38.05 dB and a VSWR of 1.025, both indicating excellent impedance matching. Additionally, the antenna exhibits a directional radiation pattern with a peak gain of 7.63 dBi. These findings highlight the antenna's potential for compact and high-performance wireless communication systems in the ISM frequency band.
Enhancing Stock Price Prediction Using Temporal Convolutional Network with Moving Average Features Rizki Surya Permana; Aisyah Novfitri; Putri Rahmawati
Jurnal Elektro Vol 19 No 1 (2026): Jurnal Elektro : April 2026
Publisher : Prodi Teknik Elektro, Fakultas Teknik Unika Atma Jaya Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25170/jurnalelektro.v19i1.7882

Abstract

Stock price prediction is a complex problem in the financial domain due to the non-linear, dynamic nature of the data and its dependence on various external factors. This study proposes a deep learning–based approach using a Temporal Convolutional Network (TCN) to predict the stock price of Bank Central Asia Tbk. The model is evaluated under two scenarios: using a single feature (close price) and using three features MA5, and MA10. The dataset consists of historical BBCA stock data from 2010 to 2018, split into 80% training data and 20% testing data. The model is trained with 100 epochs, a window size of 60, batch size of 32, the Adam optimizer, and a learning rate of 0.0005. Experimental results show that the TCN model using a single feature achieves an RMSE of 227.1920, MAE of 192.8089, and MAPE of 4.3411%. Meanwhile, the TCN model with additional features (MA5 and MA10) demonstrates improved performance, achieving an RMSE of 176.4599, MAE of 145.7689, and MAPE of 3.2750%, indicating an accuracy improvement of more than 20%.These findings indicate that TCN is effective in capturing temporal patterns in financial time series data, and that incorporating simple technical indicators such as Moving Averages can significantly enhance model performance. This study contributes to the development of efficient and practical stock price prediction methods, particularly in the Indonesian stock market context.
Pelatihan Social Commerce dan Digital Marketing untuk Mengoptimalkan Potensi Ekonomi Desa Galuga Dea Wemona Rahma; Putri Rahmawati; Qilbaaini Effendi Muftikhali; Seshariana Rahma Melati; Lia Hafiza; Veronica Benita Sanjaya; Muhamad Affan Febryan Tanjung; Kayween Joneth; Pontianus Pianus Lombu
SOROT : Jurnal Pengabdian Kepada Masyarakat Vol. 5 No. 1 (2026): Januari
Publisher : Fakultas Teknik dan Ilmu Komputer (FASTIKOM) UNSIQ

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32699/x0s3kt10

Abstract

Perkembangan teknologi digital membuka peluang besar bagi peningkatan ekonomi masyarakat desa melalui pemanfaatan media sosial dan platform e-commerce. Namun, masyarakat Desa Galuga yang mayoritas bekerja di sektor pertanian, perkebunan, dan aktivitas di Tempat Pembuangan Akhir (TPA) masih menghadapi keterbatasan literasi digital serta kurangnya akses strategi pemasaran modern. Kondisi ini membuat potensi ekonomi lokal belum optimal. Kegiatan abdimas ini bertujuan untuk memberikan pelatihan social commerce dan digital marketing yang dapat meningkatkan keterampilan masyarakat dalam memanfaatkan teknologi. Metode yang digunakan dalam program ini meliputi pelatihan partisipatif dan praktik langsung mengenai pemanfaatan media sosial serta social commerce untuk promosi dan penjualan produk. Kegiatan ini dihadiri oleh 34 orang dari warga Desa Galuga. Hasil umpan balik dari kegiatan pelatihan menunjukkan bahwa kegiatan ini sukses dilaksanakan. Keberhasilan ini didorong oleh kualitas materi yang mudah dipahami, kinerja pembicara yang suportif dan motivatif, serta pelayanan panitia yang baik. Hal ini membuktikan bahwa program ini mampu memberikan kontribusi nyata dan berkelanjutan bagi peningkatan kapasitas warga Desa Galuga.
Performance analysis of 5G NR network planning at 2300 MHz in Indonesia: A comparative study of LoS and NLoS scenarios Putri Rahmawati; Lia Hafiza; Muhammad Adam Nugraha; Syifa Maliah Rachmawati
International Journal of Electrical and Computer Engineering (IJECE) Vol 16, No 4: August 2026
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijece.v16i4.pp1944-1954

Abstract

This study presents a systematic comparative analysis of 5G new radio (NR) network planning at 2300 MHz for Bandung City, Indonesia, evaluating line-of-sight (LoS) and non-line-of-sight (NLoS) propagation scenarios to determine infrastructure requirements and performance characteristics for urban deployment. Employing the 3GPP TR 38.901 Urban Macro propagation model, link-budget analysis, and Atoll-based simulation for a 167.31 km² urban area, the study evaluates coverage performance under projected 2025 deployment conditions. The results reveal significant differences between propagation scenarios. LoS conditions require 45 gNodeBs for uplink coverage, achieving a synchronization signal reference signal received power (SS-RSRP) of -94.63 dBm and a synchronization signal signal-to-interference-plus-noise ratio (SS-SINR) of 10.87 dB, both categorized as “Good.” In contrast, the NLoS scenario requires substantially denser deployment with 635 gNodeBs, resulting in improved SS-RSRP performance of -71.98 dBm (“Excellent”) and SS-SINR of 12.32 dB (“Good”), along with more uniform coverage distribution. The findings indicate that improved KPI performance and coverage uniformity in NLoS environments can be achieved through substantially increased infrastructure density, highlighting the trade-off between network quality, deployment complexity, and infrastructure cost in urban 5G NR planning.
Co-Authors Aisyah Novfitri Dea Wemona Rahma Kamelia Quzwain Kayween Joneth Levy Olivia Nur Lia Hafiza Lia Hafiza Muhamad Affan Febryan Tanjung Muhammad Adam Nugraha Muhammad Adam Nugraha Natalia Pontianus Pianus Lombu Qilbaaini Effendi Muftikhali Rizki Surya Permana Seshariana Rahma Melati Syifa Maliah Rachmawati Veronica Benita Sanjaya