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All Journal ELKHA : Jurnal Teknik Elektro Bulletin of Electrical Engineering and Informatics Jurnal Teknik Elektro Jurnal Informatika dan Teknik Elektro Terapan Jurnal Teknoinfo Jurnal Elektronika dan Telekomunikasi Journal of Engineering and Scientific Research (JESR) Indonesian Journal of Electrical Engineering and Computer Science Jurnal Pengabdian Kepada Masyarakat Ungu ( Abdi Ke Ungu) International Journal of Aviation Science and Engineering Prosiding Seminar Nasional Hasil Penelitian Sains, Teknik dan Aplikasi Industri Fakultas Teknik Universitas Lampung Electrician : Jurnal Rekayasa dan Teknologi Elektro Jurnal Rekayasa elektrika Nusantara Journal of Computers and its Applications Applied Engineering, Innovation, and Technology
Misfa Susanto
Department Of Electrical Engineering, Faculty Of Engineering, University Of Lampung, Jl.Prof. Sumantri Brojonegoro No. 1, Bandar Lampung 35145
Aerospace Engineering Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Electrical & Electronics Engineering Energy Engineering Health Professions Industrial & Manufacturing Engineering Mechanical Engineering Medicine & Pharmacology Public Health Transportation Other

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PENILAIAN RISIKO BERBASIS ISO 31000:2018 PADA UNIT TIK PERGURUAN TINGGI (STUDI KASUS: POLITEKNIK NEGERI LAMPUNG) Marlando, Pradana; Mardiana; Susanto, Misfa
Jurnal Informatika dan Teknik Elektro Terapan Vol. 13 No. 3 (2025)
Publisher : Universitas Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/jitet.v13i3.6672

Abstract

Teknologi informasi sangat umum digunakan untuk sebuah organisasi kecil hingga besar yang sudah menjadi kebutuhan sehari-hari sehingga muncul risiko risiko baru terkait penggunaan teknologi informasi. Risiko-risiko tersebut memiliki dampak dan membutuhkan penanggulangan risiko yang berbeda. Dalam rangka menjaga proses bisnis tetap berjalan dengan baik karenanya diperlukan sebuah manajemen risiko yang baik tidak terkecuali perguruan tinggi dalam pelaksanaan proses bisnisnya. Peneliti melakukan penilaian risiko dengan menggunakan ISO 31000:2018 pada Unit TIK selaku penanggung-jawab kegiatan teknologi informasi di Politeknik Negeri Lampung. Penelitian ini menghasilkan penilaian risiko pada Unit TIK selaku pengelola TI di Politeknik Negeri Lampung guna menanggulangi risiko-risiko yang ada. Berdasarkan Penelitian ini menghasilkan sebuah identifikasi 30 risiko, dengan rincian 3 risiko level tinggi, 19 risiko level menengah, dan 8 risiko level rendah yang diberikan respon guna mengurangi atau mencegah risiko tersebut.
Interference management based on clustering in RIS-aided ultra dense network under multicell scenario Susanto, Misfa; Gumilang, Alisha Gita; Fitriawan, Helmy; Aziz, Azrina Abd
Bulletin of Electrical Engineering and Informatics Vol 14, No 4: August 2025
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/eei.v14i4.9495

Abstract

Ultra dense network (UDN) and reconfigurable intelligent surface (RIS) are two latest technologies in encountering the increasing demands for network capacity and quality of service in wireless cellular networks. UDN is created by densely deploying femtocells in macrocells area. It causes complex interferences because distances among femtocells are likely very close. RIS provides solution in regulating the reflection of the signal emitted from the transmitter to the receiver to resolve the obstacles. However, RIS reflects the interference signals as well causing more complex interference problems. This paper proposes a solution using clustering method as interference management in RIS-aided UDN network. By clustering method, nearby femtocells are grouped and allocated different frequency channels among femtocells in a cluster. The performance of two systems–the baseline system and the one employing a clustering method–is evaluated based on signal to interference plus noise ratio (SINR), throughput, and bit error rate (BER). Simulation results indicate that SINR and throughput improved by 1.57% and 1.73%, respectively. Meanwhile, the BER for the baseline system is 5.78×10-8 and decreased when applying the proposed method system with a value of 2.26×10-8. The proposed clustering method is promising to confront the interference problems.
Clustering technique for dense D2D communication in RIS-aided multicell cellular network Susanto, Misfa; Sabella, Soraida; Hakim, Lukmanul; Kurnianto, Rudi; Abd Aziz, Azrina
Indonesian Journal of Electrical Engineering and Computer Science Vol 39, No 2: August 2025
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v39.i2.pp927-940

Abstract

Device-to-device (D2D) communication and reconfigurable intelligent surface (RIS) are well-known as two promising technologies for nextgeneration cellular communication networks. D2D users operate on the same spectrum as traditional cellular users, potentially leading to increased interference and reduced efficiency in frequency resource usage. RIS provides a remedy for clearing blocked signals from obstructions by reflecting the desired signals to the intended receiver. However, RIS elements reflect not only the desired signals but also the interference signals. This paper proposes a distance-based clustering method aimed at creating a grouping algorithm for neighboring D2D users using different channels, thereby reducing co-channel interference. The simulation indicates that the proposed clustering method for D2D users' equipment (DUEs) leads to a 0.72 dB increase in signal-to-interference-plus-noise ratio (SINR), enhances throughput to 11.25 Mbps, and reduces the bit error rate by up to 24×10⁻² compared to the baseline system. The study findings also indicate that cellular users' equipment (CUEs) experience satisfactory signal quality, even with the presence of DUEs on the cellular network. Our clustering algorithm is feasible to deploying D2D densely in RIS-aided cellular network without significantly affecting CUE performance.
Co-Authors A Naveed Abd Aziz, Azrina Al-Maktary, Omar Alizal, Muhammad Anwar, Hasrul Arjmand Naveed Aziz, Azrina Abd Fadil Hamdani G Mohi-Ud-Din Gumilang, Alisha Gita Hamdani, Fadil Hasim, Sitronella Nurfitriani Helmy Fitriawan Helmy Fitriawan Heriansyah Hu, Yim-Fun Lukmanul Hakim M Ali M Kamala M. Ridho Ulya MARDIANA Mardiana Mardiana Mardiana Mardiana Matsna Nurul Kholidah Matsna Nurul Kholidah MUHAMMAD ALI Muhammad Irsyad Muzaki, Teguh Naveed, Arjmand Pradana Marlando, Pradana Rudi Kurnianto Sabella, Soraida Setyawan, FX Arinto Sigwele, Tshiamo Sitronella Nurfitriani Hasim Sri Purwiyanti T Sigwele T Sigwele Tshiamo Sigwele Widodo, Ahmad Wahyu Y F Hu Yim Fun Hu Yudianto Yudianto