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All Journal Jurnal Teknologi Jurnal Teknologi Informasi dan Ilmu Komputer Prosiding Semnastek Emerging Science Journal JTERA (Jurnal Teknologi Rekayasa) Digital Zone: Jurnal Teknologi Informasi dan Komunikasi TELEKONTRAN: Jurnal Ilmiah Telekomunikasi, Kendali dan Elektronika Terapan Jurnal Teknik TELKA - Telekomunikasi, Elektronika, Komputasi dan Kontrol REKA ELKOMIKA: Jurnal Pengabdian kepada Masyarakat JITEL (Jurnal Ilmiah Telekomunikasi, Elektronika, dan Listrik Tenaga) EPSILON: Journal of Electrical Engineering and Information Technology Buletin Pos dan Telekomunikasi Jurnal Elektronika dan Telekomunikasi
Yuliana, Hajiar
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Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Electrical & Electronics Engineering Energy Engineering Environmental Science Industrial & Manufacturing Engineering Mechanical Engineering Social Sciences

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Optimasi Jaringan 4G LTE pada Jalur Tol Cikopo Palimanan dengan Menggunakan Metode Physical Tuning Yuliana, Hajiar; Hidayat, Muhammad Reza; Permana, Ade Sena; Somantri, Nivika Tiffany; Dharmi, Ni Ketut Hariyawati
Jurnal Teknologi Informasi dan Ilmu Komputer Vol 11 No 3: Juni 2024
Publisher : Fakultas Ilmu Komputer, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25126/jtiik.937828

Abstract

Kebutuhan para pengguna akan layanan komunikasi maupun informasi yang dibutuhkan meningkat dengan cepat sehingga menyebabkan penyedia jasa pada layanan telekomunikasi seluler dituntu untuk berkembang guna memenuhi kebutuhan pengguna atau konsumennya dan terus mengembangkan kemampuan dan teknologi terkini. Dengan memanfaatkan teknologi komunikasi generasi keempat yaitu tekonologi 4G mengharapkan kecepatan jaringan yang cepat. Namun, teknologi 4G ini memiliki beberapa kendala yang menyebabkan kecepatan jaringan menjadi optimasi jaringan untuk memperbaiki kualitas jaringan agar dapat dipakai dengan optimal. Pada penelitian ini dilakukan proses optimasi untuk memperbaiki kondisi level sinyal Reference Signals Received Power (RSRP) di Jalur Tol Cikopo-Palimanan (Cipali). Proses optimasi dilakukan dengan menganalisis kondisi level sinyal RSRP berdasarkan data yang didapatkan dari operator dan di simulasikan di Atoll Planning Software dengan menggunakan metode physical tuning. Berdasarkan hasil data yang didapatkan dari simulasi menggunakan Atoll Planning Software, terdapat beberapa area yang memiliki coverage yang kurang baik dengan level RSRP dibawah -90 dBm, dan area tersebut merupakan area jalur tol yang rawan kemacetan kendaraan karena arus mudik lebaran atau perbaikan jalan. Optimasi dilakukan di 4 spot yang mempunyai kondisi level sinyal yang buruk dan setelah dilakukan optimasi terdapat perbaikan level sinyal dengan warna ungu (sekitar -100 dBm) berubah menjadi warna kuning (sekitar -90 dBm). Hal ini juga mempengaruhi presentase Coverage sinyal di area jalan tol cipali, yaitu terjadi perbaikan dan kenaikan persentase untuk level sinyal diatas -90 dBm yaitu dari 88,73% menjadi 90,67% dan juga mengalami penurunan persentase untuk level sinyal dibawah -90 dBm yaitu dari 11,27 menjadi 9,33%.
Comparative Analysis of ARIMA, Prophet, and Glmnet for Long Term Evolution (LTE) Base Station Traffic Forecasting Juhana, Tutun; Yuliana, Hajiar; Hendrawan, .; Iskandar, .; Musashi, Yasuo
Emerging Science Journal Vol 8, No 6 (2024): December
Publisher : Ital Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28991/ESJ-2024-08-06-04

Abstract

This study evaluates the performance of three forecasting models—ARIMA, Prophet, and Glmnet—with the primary objective of equipping the telecommunication industry with effective tools for cellular traffic forecasting. These tools lay the foundation for efficient resource management, cost optimization, and enhanced service delivery. The study begins with dataset description and preparation, followed by the selection of traffic forecasting models, and concludes with performance evaluation based on metrics such as Mean Absolute Error (MAE), Mean Absolute Percentage Error (MAPE), Symmetric Mean Absolute Percentage Error (SMAPE), Root Mean Squared Error (RMSE), and Coefficient of Determination (R²). The main contribution of this research is a comprehensive comparison of the three forecasting methods, aiding practitioners and researchers in identifying the best prediction model for specific contexts. The findings reveal that Glmnet consistently outperforms ARIMA and Prophet across all categories of traffic forecasting on the selected performance metrics. Its ability to handle complex data structures, manage multicollinearity, and deliver robust and accurate predictions makes it the preferred choice for forecasting cellular network traffic in the telecommunications domain. Doi: 10.28991/ESJ-2024-08-06-04 Full Text: PDF
Analisis Metode Klasifikasi Pemetaan Tutupan Lahan (Land Cover) di Area Kota Bandung Menggunakan Algoritma Random Forest Pada Google Earth Engine Yuliana, Hajiar; Zahra Cahya Hanifa Rizqiana
EPSILON: Journal of Electrical Engineering and Information Technology Vol 22 No 2 (2024): Journal of Electrical Engineering and Information Technology
Publisher : Department of Electrical Engineering, UNJANI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55893/epsilon.v22i2.119

Abstract

This research aims to map land cover in Bandung City using the Random Forest (RF) algorithm implemented on the Google Earth Engine (GEE) cloud-based platform. Sentinel-2 satellite image data was used to analyze four main classes of land cover, namely residential land, green land, water, and open land. The classification process involved initial data processing, model training using sample data, and accuracy evaluation through confusion matrix and cross-validation. The results showed that the RF algorithm had an overall accuracy of 89%, with the highest accuracy in the residential land class (92%) and the lowest in the water class (80%). Cross-validation showed stable performance with an average accuracy of 88.5%, precision 0.91, recall 0.88, and F1-score 0.89. Confusion matrix analysis identified misclassification in certain classes due to spectral overlap, especially between green land and open area. This research proves that the RF algorithm in GEE is an efficient and accurate method for land cover classification, while supporting spatial planning and environmental management. Further developments could include the use of higher resolution data, advanced learning algorithms and time-based analysis to understand the dynamics of land cover change.
Rancang Bangun Prototipe Monitoring Volume Cairan Infus dan Kapasitas Oksigen Medis dengan Warning System berbasis Internet of Things Somantri, Nivika Tiffany; Adji, Tatag Purnomo; Yuliana, Hajiar; Charisma, Atik; Winanti, Naftalin; Haz, Fauzia; Nurjaman, Dede Furqon
TELKA - Telekomunikasi Elektronika Komputasi dan Kontrol Vol 11, No 2 (2025): TELKA
Publisher : Jurusan Teknik Elektro UIN Sunan Gunung Djati Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15575/telka.v11n2.248-261

Abstract

Infus dan oksigen medis merupakan komponen vital dalam perawatan pasien di rumah sakit. Ketidakakuratan dalam pemantauan volume cairan infus dan kapasitas oksigen dapat mengakibatkan keterlambatan penanganan yang membahayakan keselamatan pasien. Penelitian ini bertujuan merancang prototipe sistem pemantauan volume cairan infus dan kapasitas oksigen medis berbasis Internet of Things (IoT) dengan warning system untuk meningkatkan efisiensi perawatan. Sistem ini menggunakan sensor load cell dengan modul HX711 sebagai sensor pendeteksi ketersediaan cairan infus pasien, NodeMCU ESP32 sebagai komponen kontrol yang terhubung dengan jaringan internet, sensor load cell dan Sensor HK1100C untuk membaca kapasitas tekanan oksigen medis pada tabung. Data hasil pengkuran sensor tersebut di sajikan pada web server hinger,io dan google spreadsheet serta dalam tampilan LCD. Hasil pengujian sistem setelah dilakukan perbandingan dengan alat ukur yang terkalibrasi serta pengujian fungsi internet of things didapatkan bahwa alat ini memiliki tingkat keakurasian pembacaaan sensor dengan error 0,37% untuk sensor loadcell dan error 3,72% untuk sensor tekanan oksigen. Prototipe ini diharapkan dapat menjadi solusi otomatis dalam meminimalkan risiko human error dan meningkatkan respons tenaga medis. Infusion and medical oxygen are vital components in patient care in hospitals. Inaccuracy in monitoring the volume of infusion fluids and oxygen capacity can result in delays in treatment that endanger patient safety. This study aims to design a prototype of an Internet of Things (IoT)-based monitoring system for infusion fluid volume and medical oxygen capacity with a warning system to improve care efficiency. This system uses a load cell sensor with the HX711 module as a sensor to detect the availability of patient infusion fluids, NodeMCU ESP32 as a control component connected to the internet network, a load cell sensor and an HK1100C sensor to read the capacity of medical oxygen pressure in the cylinder. The measurement data from the sensor is presented on the thinger.io and google spreadsheet web servers and on the LCD display. The results of system testing after comparison with calibrated measuring instruments and testing the internet of things function showed that this tool has a level of sensor reading accuracy with an error of 0.37% for the load cell sensor and an error of 3.72% for the oxygen pressure sensor. This prototype is expected to be an automatic solution in minimizing the risk of human error and increasing the response of medical personnel.
The ANALISIS PARAMETER QOS (QUALITY OF SERVICE) PADA JARINGAN WIFI DI GEDUNG FAKULTAS TEKNIK UNIVERSITAS JENDERAL ACHMAD YANI DENGAN MENGGUNAKAN WIRESHARK Tiffany, Nivika; Nicko Wahyudi; Atik Charisma; Hajiar Yuliana; Sofyan Basuki; Ade Sena Permana
EPSILON: Journal of Electrical Engineering and Information Technology Vol 23 No 2 (2025): EPSILON - Journal of Electrical Engineering and Information Technology
Publisher : Department of Electrical Engineering, UNJANI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55893/e6py7a65

Abstract

WiFi performance is a pressing need in academic, especially to support learning, research, and communication. In the digital era, the demand for high network quality is increasing along with the heavy dependence on internet access for various academic activities. Therefore, the evaluation of the WiFi network quality in Jenderal Achmad Yani University is focus of this study, the network meets the required quality standards. This study uses a quantitative method with an observational approach to analyze the Quality of Service (QoS) parameters such as throughput, packet loss, delay, and jitter. The quantitative method was chosen because it is able to provide objective and accurately measured data, while the observational approach allows researchers to directly observe internet traffic and measure QoS parameters. Testing was conducted for three days to obtain representative data on the condition of the WiFi network in the building. From the test results conducted, it is known that the quality of the network in the Faculty of Engineering Achmad Yani University is: Average throughput of 1406.76 Kbps, packet loss of 0%, delay of 70.21 ms, jitter of 85.96 ms. With an average overall index of QoS parameters of 3.25 and included in the Good category according to TIPHON.
Sistem keamanan pengiriman data pada perangkat pemantauan kualitas udara (CO2) Somantri, Nivika Tiffany; Rahman, Fadhil Aulia; Basuki, Sofyan; Yuliana, Hajiar; Charisma, Atik; Permana, Adesena
JITEL (Jurnal Ilmiah Telekomunikasi, Elektronika, dan Listrik Tenaga) Vol. 6 No. 1: March 2026
Publisher : Jurusan Teknik Elektro, Politeknik Negeri Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35313/jitel.v6.i1.2026.35-48

Abstract

Teknologi Internet of Things (IoT) telah berperan penting dalam pemantauan kualitas udara, terutama untuk mengukur konsentrasi gas karbon dioksida (CO2). LoRa, dengan jangkauan luas dan konsumsi daya rendah, menjadi solusi efektif untuk pengiriman data di daerah sulit dijangkau. Namun, tantangan utama adalah keamanan pengiriman data. Penelitian ini bertujuan mengoptimalkan keamanan pengiriman data LoRa pada sistem pemantauan kualitas udara melalui penerapan enkripsi AES (Advanced Encryption Standard). Dalam penelitian ini dirancang suatu sistem enkripsi dan dekripsi keamanan data yang di implementasikan ke perangkat node sensor sebagai pangambil data sensor kualitas CO2 dan pengrim data dalam bentuk ciphertext, serta perangkat gateway yang akan menerima enkripsi data lalu mengubahnya kembali menjadi plaintext, dilengkapi juga nilai RSSI dan SNR sebagai indikator kulitas pengiriman setiap data yang diterima dalam komunikasi LoRa. Pengujian sistem keamanan komunikasi data pada LoRa dengan algoritma AES 128-bit mode ECB berhasil mengamankan data yang dihasilkan oleh sensor MQ-135 untuk mengukur kadar CO2. LoRa mampu mengirimkan data dalam jarak 50 hingga100 meter secara NLOS, namun kualitas pengiriman data menurun pada jarak lebih jauh, dengan paket loss mencapai 70% pada 150 meter dan 90% pada 250 meter. Nilai RSSI dan SNR juga memburuk seiring dengan peningkatan jarak, dengan nilai -110dBm hingga -112dBm untuk RSSI dan -10dB hingga -11dB untuk SNR pada jarak 150 hingga 250 meter. Pengujian kualitas udara di lingkungan urban menunjukkan rata-rata CO2 sebesar 361,5 PPM, yang masih jauh dari ambang batas 1000 PPM yang ditetapkan oleh Kementerian Kesehatan, menunjukkan kondisi udara yang aman.
Optimization of Low Site Density Area for 4G Network in Urban City Hajiar Yuliana; Sofyan Basuki; Salita Ulitia Prini
Jurnal Elektronika dan Telekomunikasi Vol. 21 No. 2 (2021)
Publisher : National Research and Innovation Agency

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14203/jet.v21.98-103

Abstract

The development of telecommunications is currently growing rapidly, especially in urban areas. To obtain optimal data services for users, the performances of 4G network services must continue to be optimized. It is known that many users are scattered in urban areas, but sometimes it is not balanced with an even distribution of the site in this area. This condition occurs because the distribution of the site is not evenly optimal distributed, either due to licensing constraints, limited land access for site development, or in terms of plans that have not been made. Balanced with the requirement of a 4G network, which is required, this "empty space" condition or low site density condition must find a solution or optimize it. Many optimization methods can optimize the area with low site density possibility. This study will optimize the area by adding a new site proposal based on coverage planning. We need to analyze Reference Signal Received Power (RSRP) coverage signal distribution using Atoll Planning Software. After optimization, the RSRP level below or equal -80 dBm increased from 75.195% to 94.08%. Furthermore, the percentage calculation for inadequate coverage (below -80 dBm) decreased from 24.816% to 5.931%. This RSRP signal level also shows that the condition after optimization with a new site can improve the signal level condition from areas with low site density possibility.
Co-Authors . Hendrawan . Iskandar Ade Sena Permana Adji, Tatag Purnomo Alimudin, Erna Atik Charisma Atik Charisma Atik Charisma Basuki, Sofyan Charisma, Atik Clarez Bebby Elysees Dede Furqon Nurjaman Dede Irawan Saputra Dharmi, Ni Ketut Hariyawati Een Taryana Fauzia Haz Fauzian, Tubagus Indra Maulana Giri Angga Setia Griffani Megiyanto Rahmatullah Gusvira Lestari Handoko Rusiana Iskandar Handoko Rusiana Iskandar Haz, Fauzia Hendrawan Hermadani Hermadani Hidayat, M. Reza Hidayat, Muhammad Reza Hurianti Vidyaningtyas Irvan Budiawan ISKANDAR M. Reza Hidayat Muhammad Akbar Wibowo Muhammad Fakhri Abdillah Muhammad Iqbal Maulana Musashi, Yasuo Ni Ketut Hariyawati Ni Made Diasti Putri Nicko Wahyudi Nivika Tiffany Somantri Nur Adny Muhammad Nur Akbar Setiawan, Rizky Permana, Ade Sena Permana, Adesena Putri, Ni Made Diasti Rady Yusaniar Rahman, Fadhil Aulia Raka Satya Pratama Rijal Ridwanulloh Rike Indriani, Alifa Salita Ulitia Prini Santoso, Fajar Malik Sofyan Basuki Sofyan Basuki Sofyan Basuki Sofyan Basuki Sunubroto Sunubroto TUTUN JUHANA Winanti, Naftalin Yuda Bakti Zainal Yusaniar, Rady Zahra Cahya Hanifa Rizqiana Zainal, Yuda Bakti