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Serial Communication Reliability Testing in Dynalite Lighting Control with Adjustable Voltage Levels Hadikusuma, Ridwan Satrio; Triyanto, Aripin; Nuryana, Muhammad Risqi
Jurnal Edukasi Elektro Vol. 9 No. 2 (2025): Jurnal Edukasi Elektro Volume 9, No. 2, November 2025
Publisher : DPTE FT UNY

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21831/jee.v9i2.89562

Abstract

This research presents the reliability testing of serial communication in Dynalite lighting control systems with adjustable voltage levels. The study began with the design and implementation of a DALI-based topology, followed by practical installation and measurement of output voltages at different control levels (10%, 20%, 40%, 80%, and 100%). The results confirmed that the output voltage correlated proportionally with the configured percentage level, demonstrating stable driver performance in regulating lamp brightness. Furthermore, comparative testing at different baud rates, namely 9600bps and 115200bps, was conducted to evaluate communication stability. The findings revealed that 9600bps provided higher reliability and minimal error, while 115200bps offered faster response but with a higher risk of instability. These results emphasize the importance of selecting appropriate voltage and baud rate configurations to ensure both efficiency and robustness in lighting control systems.
Experimental Comparison of DALI and 0–10V LED Dimming Systems for Smart Lighting NURYANA, MUHAMMAD RISQI; SIREGAR, MARSUL; BACHRI, KAREL OCTAVIANUS
ELKOMIKA: Jurnal Teknik Energi Elektrik, Teknik Telekomunikasi, & Teknik Elektronika Vol 14, No 1: Published January 2026
Publisher : Institut Teknologi Nasional, Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26760/elkomika.v14i1.42

Abstract

This study compares the dimming performance of DALI and 0–10 V using three commercial LED drivers at eight dimming levels. The testing included power consumption, illuminance, and flicker stability. The results showed that DALI was able to maintain a linear dimming curve down to low levels such as 10%, 5%, and 1%, with consistent flicker within the No Risk zone. Power consumption at 0% was also low, making it suitable for applications requiring deep dimming and stable visual comfort. Conversely, the 0–10 V system performed quite well at high levels and was slightly more efficient at low power, but its performance dropped drastically below 30%. At 10%, the illuminance was almost zero and the flicker level entered the High Risk zone. Overall, DALI is more ideal for smart lighting with smooth transitions, while 0–10 V is more suitable for basic installations.
Real-Time Telemetry Based Monitoring System for Energy Efficiency Evaluation of Scheduled Dimming in Office Corridor Lighting Nuryana, Muhammad Risqi; Mahyastuty, Veronica Windha; Hadikusuma, Ridwan Satrio
Jurnal Sistem Cerdas Vol. 9 No. 1 (2026): April (In Progress)
Publisher : APIC

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37396/jsc.v9i1.640

Abstract

In many office buildings, corridor lighting systems are commonly operated at full brightness continuously, regardless of occupancy conditions, resulting in unnecessary energy consumption. This study proposes and evaluates a real-time telemetry-based monitoring system to assess the energy efficiency of a scheduled dimming strategy for office corridor lighting. The developed system integrates dimmable LED luminaires with a telemetry unit capable of transmitting real-time illuminance and energy consumption data for monitoring and analysis. A time-based dimming schedule of 25%, 50%, and 75% output levels was implemented in an office corridor environment. Illuminance measurements were collected at five different points along the corridor, while electrical energy consumption was recorded continuously over a seven-day observation period through the telemetry monitoring platform. The results indicate that even at the lowest dimming level (25%), the corridor maintained an average illuminance of 100 lux, which remained within acceptable lighting standards for pedestrian circulation. Telemetry data further demonstrated that the scheduled dimming strategy reduced weekly energy consumption by approximately 64% compared to continuous full operation (0.711 kWh reduced to 0.253 kWh). These findings confirm that real-time telemetry monitoring enables accurate performance evaluation of lighting control strategies while ensuring compliance with visual comfort requirements. The study highlights the potential of telemetry-based lighting monitoring systems as an effective approach to optimize energy use, minimize over-lighting, and support data-driven energy management in office buildings.
PREDICTING SUCCESSFUL TIMELY ORDER COMPLETION IN E-COMMERCE USING XGBOOST AND CATBOOST MODELS Nuryana, Muhammad Risqi; Muhammad Nur Aulia Rahman; Hadikusuma, Ridwan Satrio
Jurnal INSTEK (Informatika Sains dan Teknologi) Vol 11 No 1 (2026): APRIL
Publisher : Department of Informatics Engineering, Faculty of Science and Technology, Universitas Islam Negeri Alauddin, Makassar, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24252/instek.v11i1.63315

Abstract

Keberhasilan penyelesaian pesanan tepat waktu merupakan aspek penting dalam operasional e-commerce karena kinerja pengiriman berpengaruh langsung terhadap kepuasan pelanggan dan kualitas layanan. Penelitian ini bertujuan untuk mengidentifikasi faktor-faktor utama yang memengaruhi ketepatan waktu pengiriman serta mengevaluasi kinerja model XGBoost dan CatBoost dalam melakukan prediksi. Analisis dilakukan menggunakan dataset transaksi e-commerce publik yang mencakup karakteristik produk, waktu pemesanan, dan informasi pengiriman. Tahapan pra-pemrosesan data meliputi penanganan missing values, normalisasi fitur, serta feature engineering berbasis waktu. Optimasi hyperparameter dilakukan menggunakan framework Optuna untuk meningkatkan performa model. Hasil penelitian menunjukkan bahwa product_length_cm, product_weight_g, dan order_purchase_timestamp merupakan fitur yang paling berpengaruh terhadap keberhasilan pengiriman. Model CatBoost lebih sensitif terhadap karakteristik fisik produk, sedangkan XGBoost lebih menekankan pola pemesanan berbasis waktu, khususnya pada skala bulanan. Selain itu, penerapan Optuna terbukti mampu meningkatkan akurasi prediksi kedua model. Temuan ini dapat membantu platform e-commerce dalam mengoptimalkan manajemen persediaan, strategi logistik, dan penjadwalan pengiriman. Penelitian selanjutnya disarankan untuk mempertimbangkan faktor eksternal seperti kondisi cuaca, kepadatan pengiriman, dan lalu lintas guna meningkatkan akurasi prediksi dan efisiensi operasional.