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Menampilkan 1–6 dari 6 artikel
Design and Implementation of a Deep Reinforcement Learning Framework for Autonomous Navigation in Dynamic Unstructured Robotic Environments with Real Time Obstacle Avoidance
Milli Alfhi Syari
; Zira Fatmaira
; Syofyan Anwar syahputra
Intelligent Systems and Robotics
Vol 1
, No 1
(2026)
Autonomous robot navigation in dynamic and unstructured environments remains a critical challenge due to unpredictable obstacles, sensor uncertainty, and limited adaptability of traditional planning algorithms. Although conventional navigation methods such as graph-based, potential field–based, and sampling-based approaches have been widely adopted, their performance under real-time dynamic conditions is still constrained. This study aims to design and implement a comprehensive experimenta...
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Rancang Bangun Tong Sampah Pintar dengan Penerapan Sampah Metal dan Non Metal Menggunakan IoT pada STMIK Kaputama
Dimas Aditya
; husnul khair
; Milli Alfhi Syari
Repeater : Publikasi Teknik Informatika dan Jaringan
Vol 3
, No 4
(2025)
Waste management remains a major challenge, particularly due to the lack of public awareness and habits in sorting waste from its source. Innovative technology-based solutions are needed to support more effective waste management systems. This study aims to design and develop an Internet of Things (IoT)-based smart trash bin capable of automatically sorting metal and non-metal waste. The system utilizes an ESP32 microcontroller as the main controller, an LJ12A3-4-Z/BY sensor to detect metal mate...
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Integration of Critical Thinking in Intelligent Algorithms for Hoax Detection on Social Media Platforms
Milli Alfhi Syari
; Hermansyah Sembiring
; Muhammad Fadlan Siregar
Systematic Literature Review Journal
Vol 1
, No 4
(2025)
The rapid growth of social media as a primary channel for information dissemination has triggered a significant surge in the distribution of hoaxes, potentially damaging social order, instigating mass disinformation, and threatening national security. This research aims to design an intelligent algorithm for hoax detection by integrating a critical thinking approach into Natural Language Processing (NLP)-based text processing. The algorithmic model is built using a combination of linguistic feat...
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Pendeteksian Kebocoran pada Jaringan Pipa Berbasis Internet of Things (IoT) dengan Notifikasi dan Lokalisasi Sumber Kebocoran
Adityo Razzaqqi
; Husnul Khair
; Milli Alfhi Syari
Router : Jurnal Teknik Informatika dan Terapan
Vol 3
, No 2
(2025)
This study aims to design and develop a pipeline leakage detection system based on the Internet of Things (IoT) that provides real-time notifications and determines the location of leaks with high accuracy. Pipeline leakage is a serious issue, as it can lead to water wastage, environmental damage, and high maintenance costs. Therefore, a system that can detect leaks quickly and accurately is crucial for improving the efficiency of pipeline infrastructure management. The system developed in this...
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Sistem Pemantauan Kesuburan Tanaman Pohon Durian menggunakan Internet Of Things (IOT)
Anjellita Sundari Sumarsono
; Novriyenni Novriyenni
; Milli Alfhi Syari
Repeater : Publikasi Teknik Informatika dan Jaringan
Vol 2
, No 4
(2024)
Durian is one of the leading fruit commodities with high economic value in various tropical regions, including Indonesia. However, the durian cultivation process often faces challenges related to unstable environmental conditions, such as temperature fluctuations, soil moisture, and nutritional deficiencies which can affect the level of plant fertility and the quality of the fruit produced. Therefore, an effective and efficient monitoring system is needed to optimize durian plant care. This rese...
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Rancang Bangun Alat Pendeteksi dan Pengusir Hama Tanaman Kangkung menggunakan Sensor Pir dan Cairan Peptisida Berbasis Internet Of Things (IOT)
Putri Mayang Sari
; Novriyenni Novriyenni
; Milli Alfhi Syari
Repeater : Publikasi Teknik Informatika dan Jaringan
Vol 2
, No 4
(2024)
This research aims to design and build a tool for detecting and repelling pests on kale plants using Passive Infrared (PIR) sensors and Internet of Things (IoT) based pesticide liquid which can be controlled via the Telegram application. This system works by detecting the movement of pests using a PIR sensor, which then activates the mechanism for automatically spraying pesticide liquid to repel pests. Users can monitor and control this tool in real-time via Telegram, providing flexibility in pl...
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