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SISTEM LAMPU JALAN OTOMATIS BERBASIS SENSOR LIGHT DEPENDENT RESISTOR Viki Priadi; Muhammad Arifin; Afdeli Hasni; Geulis Alya Byrin; Ineke Putri; Risma Dani; Yuris Ramadhona; Achmad Aflah Jamazy
JURNAL TELISKA Vol 19 No I (2026): TELISKA Maret 2026
Publisher : Teknik Elektro Polsri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36257/teliska.v19iI.11888

Abstract

Street lights play a crucial role in supporting environmental safety and security. However, conventional street lighting systems remain inefficient due to their lack of automation. This research aims to design an automated street light security system based on a Light Dependent Resistor (LDR) sensor. The LDR sensor is used to detect ambient light intensity and serves as the basis for automatically controlling the lights, turning them on when it's dark and off when it's bright. Test results show that the system works well and is responsive to changes in light, improving energy efficiency and reducing reliance on manual operation
AVX2 SIMD Optimization for DSP Load and QoS in a srsRAN-Based Private LTE Network Muhammad Arcy Alfaathir; Sopian Soim; Mohammad Fadhli; Achmad Aflah Jamazy
Aviation Electronics, Information Technology, Telecommunications, Electricals, and Controls (AVITEC) Vol 8, No 2 (2026): August
Publisher : Institut Teknologi Dirgantara Adisutjipto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28989/avitec.v8i2.4147

Abstract

Private 4G LTE networks built on open-source platforms provide cost-effective localized connectivity. However, executing baseband Digital Signal Processing (DSP) imposes a massive computational burden on general-purpose CPUs. This study evaluates the correlation between DSP load and end-to-end Quality of Service (QoS) in a USRP B210-based Private 4G LTE prototype using srsRAN and Open5GS. To prevent CPU saturation, Advanced Vector Extensions 2 (AVX2) SIMD instructions and CPU core affinity were applied. The experimental design evaluated the system using two concurrent User Equipment (UEs) under Line-of-Sight (LOS) outdoor conditions. Compared to a non-optimized baseline, the AVX2 optimization successfully stabilized the host processor at a 60.8% peak load and achieved a downlink throughput of 35.3 Mbps without radio underflows. However, multiplexing complex baseband signals under heavy concurrent traffic severely congested the OS-level queues. This caused severe bufferbloat, escalating the average end-to-end latency to 2021 ms compared to its idle state. These findings demonstrate that while AVX2 optimization resolves the CPU bottleneck, software-induced bufferbloat remains the primary limitation in SDR deployments.