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Analisis Quality of Service pada Implementasi Video Call Berbasis SIP dengan Monitoring Zabbix pada Jaringan WLAN Avrian, Daniel Okta; Lase, Kristian Juri Damai; Maedjaja, Febe
Progresif: Jurnal Ilmiah Komputer Vol 22, No 1 (2026): Januari
Publisher : STMIK Banjarbaru

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35889/progresif.v22i1.3528

Abstract

The development of IP-based communication technology has made video call services an efficient solution for real-time communication. This study analyzes the Quality of Service (QoS) performance of SIP-based video call implementation using the Zabbix monitoring system on a Wireless Local Area Network (WLAN). An experimental method was applied by implementing an Issabel PBX SIP server and conducting performance tests under five bandwidth variations, namely 2.5, 5, 10, 15, and 20 Mbps. Each test scenario was conducted for 15 minutes with a monitoring interval of 30 seconds. The evaluated QoS parameters include throughput, delay, jitter, and packet loss, which were assessed based on the TIPHON standard. The results show that higher bandwidth provides better QoS performance, while bandwidth limitation leads to performance degradation, particularly in packet loss and service stability. The evaluation also indicates that a minimum bandwidth of 5 Mbps is required to maintain acceptable video call quality on WLAN networks. Furthermore, this study demonstrates that Zabbix is effective as a continuous monitoring system capable of providing real-time and historical QoS data to support performance analysis and network evaluation.Kata kunci: Quality of Service; Session Initiation Protocol; Video call; Zabbix; WLAN. 
Rancang Bangun Robot Penghindar Rintangan Berbasis Raspberry Pi Pico Dan Sensor Time of Flight Lubersius Zamasi; Gogor Chrismass Setyawan; Kristian Juri Damai Lase
Progresif: Jurnal Ilmiah Komputer Vol 22, No 2 (2026): April
Publisher : STMIK Banjarbaru

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35889/progresif.v22i2.3674

Abstract

This research addresses the collision risks in remote-controlled robots caused by communication latency and human operator response limitations. The primary focus of this study is the development of a lightweight autonomous safety override mechanism using a resource-constrained microcontroller, the Raspberry Pi Pico W. The system integrates the VL53L0X Time of Flight sensor for high-precision obstacle detection and the KY-032 infrared sensor for cliff protection. The methodology involves designing a hybrid control architecture that combines web-based instructions with real-time safety logic. Experimental results demonstrate that the ToF sensor achieves an accuracy rate of 98.01%, surpassing the reliability of conventional ultrasonic sensors. The cliff protection system shows a 100% success rate in performing automatic avoidance maneuvers without relying on operator input. This research proves that integrating ToF sensors and override mechanisms on low-power platforms significantly enhances navigation safety for Internet of Things (IoT)-based robots.Keywords: Internet of Things; Raspberry Pi Pico W; KY-032 sensor; Time of Flight sensor; autonomous safety. AbstrakPenelitian ini mengatasi permasalahan risiko tabrakan pada robot kendali jarak jauh yang disebabkan oleh latensi komunikasi dan keterbatasan respons operator manusia. Fokus utama penelitian adalah pengembangan mekanisme keselamatan otonom (autonomous safety override) yang ringan (lightweight) menggunakan mikrokontroler berbasis sumber daya terbatas, Raspberry Pi Pico W. Sistem ini mengintegrasikan sensor Time of Flight VL53L0X untuk deteksi rintangan presisi tinggi dan sensor inframerah KY-032 sebagai proteksi terhadap area curam (jurang). Metodologi yang digunakan mencakup perancangan arsitektur hybrid control yang menggabungkan instruksi web-based dengan logika proteksi real-time. Hasil pengujian menunjukkan sensor ToF mencapai tingkat akurasi 98,01%, melampaui keandalan sensor ultrasonik konvensional. Sistem proteksi jurang menunjukkan tingkat keberhasilan 100% dalam melakukan manuver penghindaran otomatis tanpa bergantung pada instruksi operator. Penelitian ini membuktikan bahwa integrasi sensor ToF dan mekanisme override pada platform hemat daya mampu memberikan jaminan keamanan navigasi yang signifikan bagi robot berbasis Internet of Things (IoT).Kata kunci: Internet of Things; Raspberry Pi Pico W; sensor KY-032; sensor Time of Flight