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All Journal Jurnal Teknik REKA ELKOMIKA: Jurnal Pengabdian kepada Masyarakat EPSILON: Journal of Electrical Engineering and Information Technology Buletin Pos dan Telekomunikasi
Hajiar Yuliana
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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 Engineering Industrial & Manufacturing Engineering Mechanical Engineering Social Sciences

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Rancang Bangun Sistem Energy Harvesting di Ruang Bising Menggunakan Piezoelektrik Array Hajiar Yuliana; Rady Yusaniar; Yuda Bakti Zainal
Jurnal Teknik: Media Pengembangan Ilmu dan Aplikasi Teknik Vol 19 No 1 (2020): Jurnal Teknik - Media Pengembangan Ilmu dan Aplikasi Teknik
Publisher : Fakultas Teknik - Universitas Jenderal Achmad Yani

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26874/jt.vol19no01.136

Abstract

Makalah ini membahas rancang bangun sistem energy harvesting, yaitu suatu teknik pemanenan energi yang memanfaatkan sumber energi dari kebisingan yang dihasilkan mesin winder di sebuah pabrik pemintalan benang. Pemanenan energi menggunakan transducer berupa piezoelektrik array. Piezoelektrik array terdiri dari susunan seri dari 24 piezoelektrik yang ditempatkan pada osilator berbentuk cantilever beam. Osilatorterbuat dari bahan nilon dengan panjang yang disesuaikan dengan frekuensi suara bising mesin winder. Sistem yang dibangun diuji pada ruangan produksi pabrik pemintalan benang dengan tingkat kebisingan suara sebesar 95,8 dBA. Keluaran dari hasil rancang bangun tersebut mampu menghasilkan sinyal dengan nilai amplitudo maksimum sebesar 3,32 Vpp untuk frekuensi 50,42 Hz, dan daya maksimum sebesar 0,45 mili Watt pada daya terukur rata-rata sebesar 0,16 mW. Pengukuran tersebut dilakukan selama 1 jam, dan energi yang diperoleh sebesar 0,16 mWh. Dengan asumsi mesin beroperasi selama 10 jam per hari, energi yang dihasilkan dapat mencapai 1,6 mWh per hari. Dalam skala yang lebih besar, keluaran sistem energy harvesting yang diusulkan dalam penelitian ini dapat digunakan peralatan listrik berdaya rendah seperti pengisi baterai telepon seluler atau lampu penerangan darurat.
Perencanaan Indoor Building Coverage (IBC) Jaringan 4G LTE di Gedung Fakultas Psikologi Unjani Hajiar Yuliana; Raka Satya Pratama; Griffani Megiyanto Rahmatullah
EPSILON: Journal of Electrical Engineering and Information Technology Vol 20 No 1 (2022): 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/epsilon.v20i1.88

Abstract

Gedung Fakultas Psikologi Universitas Jenderal Achmad Yani (Unjani) merupakan gedung perkuliahan yang berada di lingkungan kampus Unjani dan belum memiliki instalasi sistem jaringan indoor. Kondisi tersebut menyebabkan level sinyal yang terukur di dalam gedung memiliki nilai RSRP lebih kecil dari -110 dBm. Level sinyal tersebut termasuk dalam kategori kualitas sinyal 4G yang kurang baik. Selain itu faktor lain yang menyebabkan pelemahan sinyal ialah material dan konstruksi bangunan tersebut. Oleh karena itu, agar user pada gedung tersebut dapat terlayani dengan baik, solusi yang dilakukan adalah melakukan perencanaan jaringan Indoor Building Coverage (IBC) 4G. Berdasarkan perhitungan coverage planning jumlah antena yang diperlukan dalam perencanaan sebanyak 14 antena yaitu lantai 1 dan 4 masing-masing sebanyak 3 antena, lantai 2 dan 3 masing-masing sebanyak 4 antena. Berdasarkan hasil simulasi pada software RPS diperoleh persentase nilai rata-rata nilai RSRP >-90 dBm sebesar 89,93 % dan persentase rata-rata nilai SINR >3 dB sebesar 87,95 %. Berdasarkan hasil simulasi tersebut didapatkan bahwa hasil perencanaan yang telah dibuat telah memenuhi standar operator dan dapat diterapkan untuk memperbaiki coverage dan meningkatkan level sinyal di Gedung Fakultas Psikologi Unjani.
Implementasi Sistem Manajemen Bandwidth Menggunakan Metode Queue Tree pada Perangkat MikroTik RB941-2nD hAP Lite Series di PT Cilsy Fiolution Indonesia Hajiar Yuliana; Muhammad Fakhri Abdillah
EPSILON: Journal of Electrical Engineering and Information Technology Vol 20 No 2 (2022): 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/epsilon.v20i2.92

Abstract

The use of internet networks in human life has become one of the needs in various fields, both offices, government agencies, schools, public services, and others. PT. Cilsy Fiolution Indonesia as one of the startups engaged in the field of information and technology education (Edu-Tech) is very active in the use of the internet, including content creation, uploading videos, office operations, programming, and others. With the limited bandwidth resources available at the office of PT Cilsy Fiolution Indonesia, and with a significant number of active users, it is not uncommon for uneven bandwidth distribution among employees who use internet access, causing problems in working. MikroTik Routerboard is a brand of router devices that has many features. By utilizing the queue tree feature on the MikroTik Router device, bandwidth settings at PT Cilsy Fiolution Indonesia can be based on the port and application protocols commonly used, including HTTP, HTTPS, ICMP, DNS, video streaming, and downloading several types of file extensions. This bandwidth management arrangement aims to equalize the distribution of bandwidth and provide good quality of service for all internet users in the office network of PT Cilsy Fiolution Indonesia.
Training For Selection of Internet of Things Devices as A Media For Remote Information Sender For Vocational School Teachers and Students Dede Irawan Saputra; Hajiar Yuliana; Fauzia Haz; Giri Angga Setia; Dede Furqon Nurjaman; Naftalin Winanti; Irvan Budiawan
REKA ELKOMIKA: Jurnal Pengabdian kepada Masyarakat Vol 4, No 1 (2023): REKA ELKOMIKA
Publisher : Institut Teknologi Nasional, Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26760/rekaelkomika.v4i1.45-53

Abstract

Selection of devices for IoT needs can be determined based on the range from the shortest to the furthest, and on the internet access or Wi-Fi availability, which can be considered in advance and adjusted to the needs. In line with this, a training was carried out at SMKN 1 Cimahi, involving several groups of experts in the Electrical Engineering familyto open insight and understanding regarding the needs of devices that can be used to build internet-based or IoT systems. This training also introduced several observation schemes with various platforms, that are available in both free and paid choices. The training activities were carried out for 16 hours face-to-face, and 16 hours of independent projects that consisted of 10 modules. Out of these activities, it is expected that the participants can improve their thinking skills and carry out system programming processes according to needs and readiness.
Hyperparameter Optimization of Random Forest Algorithm to Enhance Performance Metric Evaluation of 5G Coverage Prediction Hajiar Yuliana; Iskandar; Hendrawan; Basuki, Sofyan; Hidayat, M. Reza; Charisma, Atik; Vidyaningtyas, Hurianti
Buletin Pos dan Telekomunikasi Vol. 22 No. 1 (2024): June 2024
Publisher : Centre for Research and Development on Resources, Equipment, and Operations of Posts and I

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17933/bpostel.v22i1.390

Abstract

Utilizing of 5G technology has become a major focus in the development of more advanced and efficient telecommunications networks. In this context, 5G coverage prediction becomes an important aspect in network planning to ensure optimal user experience. In this study, we explore the use of Random Forest algorithm to predict 5G coverage, with special emphasis on the hyperparameter optimization process to improve model performance. We conduct experiments with various hyperparameter combinations, including 'max_depth', 'max_features', 'min_samples_leaf', 'min_samples_split', and 'n_estimators', using hyperparameter optimization techniques. The results show that by paying attention to the optimal combination of hyperparameters, we managed to significantly improve the performance of the model. The optimized model produces a Minimum Root Mean Squared Error (RMSE) of 0.6, which is much better than the Random Forest model without hyperparameter optimization which has an RMSE of 1.14. The result of this study confirms the importance of the hyperparameter optimization process in improving the accuracy and consistency of the Random Forest model for 5G coverage prediction. The results have important implications in supporting the development of a successful 5G network infrastructure in the future.
Co-Authors Basuki, Sofyan Charisma, Atik Dede Furqon Nurjaman Dede Irawan Saputra Fauzia Haz Giri Angga Setia Griffani Megiyanto Rahmatullah Hendrawan Hidayat, M. Reza Hurianti Vidyaningtyas Irvan Budiawan ISKANDAR Muhammad Fakhri Abdillah Naftalin Winanti Rady Yusaniar Raka Satya Pratama Yuda Bakti Zainal