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All Journal TESLA: Jurnal Teknik Elektro Jurnal Nasional Teknik Elektro dan Teknologi Informasi International Journal of Electrical, Computer, and Biomedical Engineering (IJECBE)
Nugraha, Gde Dharma
Department Of Electrical Engineering, Faculty Of Engineering, Universitas Indonesia, Depok, Indonesia
Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Energy Engineering Materials Science & Nanotechnology Medicine & Pharmacology

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Rancang Bangun Sistem Lampu Jalan Pintar Nirkabel Berbasis Teknologi Zigbee Harry Sudibyo S; Amelinda Arum W; Gde Dharma Nugraha; Gunawan Wibisono
TESLA: Jurnal Teknik Elektro Vol 17, No 1 (2015): TESLA: Jurnal Teknik Elektro
Publisher : Universitas Tarumanagara

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (437.174 KB) | DOI: 10.24912/tesla.v17i1.271

Abstract

Pada penelitian ini dirancang sistem lampu jalan pintar nirkabel berbasis ZigBee (Smart Wireless Street Lighting, SWSL) yang menggunakan sumber tenaga surya dan jaringan listrik Perusahaan Listrik Negara sebagai sumber daya  cadangan.  SWSL menggunakan sistem embedded dengan kontroler yang dilengkapi sensor cahaya dan gerak untuk mengaktifkan lampu sesuai kondisi lingkungan. SWSL beroperasi secara otomatis sehingga memerlukan sistem monitoring agar diketahui kondisi dan kerusakan  lampu berdasarkan data sensor arus dan tegangan. Untuk memudahkan pengawas, terdapat fitur pengendalian jarak jauh dan penghitungan konsumsi energi SWSL. ZigBee merupakan protokol teknologi nirkabel IEEE 802.15.4 yang bersifat terbuka pada frekuensi 2.4 GHz. Aplikasinya memungkinkan untuk proses monitoring dan kontrol, sehingga dapat dikombinasikan dengan sensor dan kontroler. Dari hasil pengujian didapatkan bahwa ZigBee dapat terintegrasi dengan SWSL dan aplikasi monitoring sehingga data dapat dikirimkan sejauh 60 m dengan persentase paket terkirim utuh sebesar 21,4% pada kondisi lingkungan LOS pada RSSI sebesar -89 dBm. Ukuran maksimum paket data untuk sekali transmisi adalah 150 karakter atau 9,6 kilo byte. Pada kondisi NLOS jarak maksimum pengiriman hanya sampai pada 10 meter dengan maksimum RSSI -89 dBm. Kapasitas baterai memiliki daya tahan hingga 3 hari dan kesalahan pada sistem dapat terdeteksi dengan parameter terkirimnya email otomatis dan berubahnya indikator pada aplikasi.
Sistem Berbasis Komputasi Kabut Untuk Sistem Parkir Pintar Terdesentralisasi Menggunakan Firebase Haposan Yoga Pradika Napitupulu; I Gde Dharma Nugraha
Jurnal Nasional Teknik Elektro dan Teknologi Informasi Vol 13 No 1: Februari 2024
Publisher : Departemen Teknik Elektro dan Teknologi Informasi, Fakultas Teknik, Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/jnteti.v13i1.10095

Abstract

The growth of vehicle number is unavoidable whilst the availability of parking is not directly proportional with this condition. Nowadays, many shopping centers do not have sufficient parking spot, causing customers to have difficulty in finding available parking spots. Research has been conducted to tackle the issue of finding available parking spots. Much of this research proposed the narrowband-Internet of things (NB-IoT) as a fog node. For communication purposes, this NB-IoT-based fog node has some shortcomings, such as security and privacy, lower data rate, higher cost in development, dependency with wireless system, and only covers one area. In this research, the fog computing was proposed to decentralize smart parking system by using Firebase to cover several areas or malls in one system and interface. Instead of using NB-IoT, this research employed decentralized local server as a fog node to deliver a fast data exchange. Firestore database (Firebase) was also used to secure, manage, and analyze the data in the cloud. Conjunctively, the Android application was created as a user interface to book and find the availability of parking spots. The Android application was built using Android Studio and implemented authentication to keep the data access secure and private. The testing scenario was done following the design unified modeling language (UML). The research results confirmed that the fog computing system successfully supported the decentralized smart parking system and was able to be implemented for covering several areas or malls in one system.
A Hybrid Endpoint-Network Correlation Framework for Ransomware-Oriented Analysis Clavincy Francis Yohanes Ngantung; I Gde Dharma Nugraha
International Journal of Electrical, Computer, and Biomedical Engineering Vol. 4 No. 1 (2026)
Publisher : Universitas Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62146/ijecbe.v4i1.243

Abstract

Ransomware-oriented incidents often leave suspicious traces across both endpoint and network domains, yet these observations are still commonly examined in isolation. This makes incident interpretation difficult, since host-level and communication-level evidence may remain fragmented even when they originate from the same attack sequences. To address this problem, this paper presents a hybrid endpoint-network correlation framework built around three analytical stages: endpoint-side suspicious activity analysis, network-side suspicious activity analysis, and multi-log correlation. The framework combines rule-based indicators with machine-learning-based suspiciousness support to preserve relevant evidence and then links the resulting candidates through temporal proximity, entity consistency, and behavioral relevance. Experiments on public attack scenarios show that the framework retained 16 endpoint candidates and 3 network candidates in a successful Drupal exploitation case, 11 endpoint candidates and 3 network candidates in a Samba known-creds scenario, and preserved a network-only context in a reconnaissance-dominant case. These retained candidates then serve as the basis for identifying cross-log relations, allowing suspicious observations from different sources to be interpreted within the same incident context. These results suggest that the framework can construct incident-oriented context without forcing unsupported cross-source relations.
Co-Authors Amelinda Arum W Clavincy Francis Yohanes Ngantung Gunawan Wibisono Haposan Yoga Pradika Napitupulu Harry Sudibyo