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All Journal Technomedia Journal Journal Sensi: Strategic of Education in Information System Journal Cerita: Creative Education of Research in Information Technology and Artificial Informatics

Kusumah, Hendra

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Author-ID : 1231631

Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Languange, Linguistic, Communication & Media

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Articles

Prototipe Monitoring Kualitas Udara Ruangan Berbasis Awan Adafruit SGP30 Air Quality Sensor Kusumah, Hendra; Handayani, Indri; Susilo, Prabowo
Technomedia Journal Vol 3 No 1 Agustus (2018): Technomedia Journal
Publisher : Pandawan Incorporation, Alphabet Incubator Universitas Raharja

We usually spend about 70-90% of our time indoors. This project raises awareness about how important it is to open the existing window in the room periodically and allow fresh air to enter. In the room it is very influential in the comfort of doing various activities. Almost all the rooms we visit are offices and restaurants using Air Conditioner (AC). Most AC users leave the AC room still alive. Air conditioning is one of the electronic goods that uses a large wattage and is a very waste of electrical energy, resulting in a very large effect on the increase in electricity costs and electricity payments. This must be considered by the building owner to monitor the condition of the parts of the room, so that the use of electrical energy in each room is more efficient without reducing the comfort of the room user. In this study a monitoring design was carried out which aimed to monitor the condition of several rooms using particles and Ubidots. From a web-based monitoring system, it has managed to find out how much temperature and humidity of a room, as well as the security that is seen from the amount of smoke content detected by the SHT31-D Temperature & Humidity Sensor. This monitoring system can be very useful for housing, restaurant, or office building that has a large number of rooms with high activity. Keywords: Temperature, Humidity, Gas Sensors, Air Quality

Perancangan Modul Trainer Antarmuka Mikrokontroler Berbasis ESP32 Sebagai Media Belajar Pada Mata Kuliah Interfacing Kusumah, Hendra; Febriyanto, Erick; Pradana, Restu Adi
Technomedia Journal Vol 4 No 1 Agustus (2019): Technomedia Journal
Publisher : Pandawan Incorporation, Alphabet Incubator Universitas Raharja

In the computer system study program at Raharja University there are interfacing courses where the material taught is a microcontroller interfacing technique that uses three types of interface protocols on the microcontroller, namely SPI, I2C, and UART interfaces. The learning process at the practical session students must bring their own materials and components that must be arranged before use, in arranging practical materials which is quite a lot especially for some students who do not understand the concept of microcontrollers, this causes the learning process in interfacing subjects to be ineffective and efficient in terms of time and cost to achieve the objectives of interfacing subject learning. From these problems it is necessary to have a learning media in the form of a practical tool or trainer who can support learning and practical activities in interfacing subjects. This study uses prototyping methods, design and observation methods to observe the learning process in interfacing subjects. Thus in this study will produce a microcontroller interface trainer equipped with several supporting components that are interconnected in one circuit board that will be used as a practical tool for students to apply interfacing material to the microcontroller along with the components directly expected by students using this trainer will get a theoretical understanding and application. Keywords: Trainer, Interface, Microcontroller

Klasifikasi Kendaraan Berbasis Suara Di Lalu Lintas: Implementasi TinyML Kusumah, Hendra; Nabbillah, Nissa; Audina, Syifa
Journal Cerita: Creative Education of Research in Information Technology and Artificial Informatics Vol 9 No 1 (2023): Journal CERITA : Creative Education of Research in Information Technology and Art
Publisher : UNIVERSITAS RAHARJA

Driving is deeply embedded in Indonesian culture. All Indonesian citizens (WNI) who meet the qualifications can obtain a driver's license (SIM). As a result, the number of drivers in Indonesia is relatively significant, resulting in a high rate of traffic accidents. One of the reasons leading to the rising number of road accidents is hearing loss. This study focuses on building a tool that can classify vehicles based on the audio of the vehicle while it is running in order to assist drivers with hearing impairments. This study employs the Arduino Nano 33 BLE Sense, which includes an embedded microphone, and the Edge Impulse open platform. A simple artificial neural network model with four 1-D convolution layers and one hidden layer was utilized. The dataset was obtained manually using the YouTube open platform and was captured directly on the Edge Impulse platform using the Arduino Nano's microphone. The model training procedure was repeated 80 epochs. During training and testing, the model is regarded to be accurate, with accuracy scores of 96.3% and 90.9%, respectively. With these adequate results, the model is judged eligible for implementation, despite the fact that it still requires further refinement.

An ESP32-Based IoT System for Blind Spot Detection in Logistics Vehicles Ilamsyah, Ilamsyah; Kusumah, Hendra; Astriyani, Erna; Taufik, Muhamad Ikhsan
Journal Sensi: Strategic of Education in Information System Vol 11 No 2 (2025): Journal SENSI
Publisher : UNIVERSITAS RAHARJA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33050/sensi.v11i2.4072

The increasing number of vehicles in the logistics industry has led to a higher risk of accidents due to vehicle blind spots. PT. Aerofood ACS requires a real-time, cost-effective, and easily deployable monitoring system to enhance the safety and operational efficiency of their EBRO trucks. To address this need, this research develops an Internet of Things (IoT)-based blind spot monitoring system using ESP32. The device design methodology includes a prototyping approach and data collection through observation, interviews with stakeholders, and literature studies in system development. This system utilizes HC-SR04 ultrasonic sensors to detect objects in blind spot areas, where the obtained data is processed by ESP32 and displayed on an LCD. Additionally, information is transmitted to the cloud for real-time monitoring. The primary objective of this study is to design and implement a monitoring system capable of providing early warnings to drivers to reduce accident risks. Alerts are provided through LED indicators, buzzers, and IoT notifications, ensuring that drivers can promptly respond to potential hazards. The research findings indicate that the developed system can accurately detect blind spots and effectively issue warnings. Thus, this system serves as an innovative solution that can be implemented for various logistics needs in compliance with PT. Aerofood ACS's safety standards.

Co-Authors Astriyani, Erna Audina, Syifa Erick Febriyanto Ferry Sudarto, Ferry Ilamsyah Ilamsyah, Ilamsyah Indri Handayani, Indri Jonas, Dendy Nabbillah, Nissa Pradana, Restu Adi Susilo, Prabowo Taufik, Muhamad Ikhsan

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