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Parking Cross Prototype Using RFID as a Microcontroller Based Payment Tool Julham Julham; Putri Ayu Sitorus
International Journal of Data Science, Computer Science and Informatics Technology (InJODACSIT) Vol. 1 No. 1 (2021): InJODACSIT
Publisher : Politeknik Negeri Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (606.154 KB) | DOI: 10.51510/injodacsit.v1i1.415

Abstract

The process control of the parking cross which is manually still has weaknesses. This weakness can be exemplified by the obligation to place someone to guard the bar so that it can be opened and closed when guests come in and out. And on the other hand the guards cannot memorize the faces of the guests who are allowed to enter through the bar. A well-structured parking system that is able to offer a variety of solutions to existing parking problems is the most needed parking system today. RFID (Radio Frequency Identification) can be the answer to build this system. In this research, a parking barrier lock system design automatically uses RFID. RFID is a technology to identify an object automatically (Automatic Identification System). The process of transferring data on RFID can occur without having to touch (contactless) between devices. RFID consists of 2 main components, namely a tag and a reader. The RFID Reader is used to read the ID numbers on the RFID card, and the Arduino Uno is the controller. With the development of a parking system using RFID, changing the manual parking system to a computerized system that provides a lot of facilities and controls that are more effective and efficient.
Sistem Monitoring Polusi Udara Mengggunakan Sensor Nitrogen Carbon Berbasis Internet of Thing Ferry Fachrizal; Julham Julham; Antoni Antoni
Jurnal Sistem Komputer dan Informatika (JSON) Vol 4, No 1 (2022): September 2022
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/json.v4i1.4903

Abstract

Technological developments in the field of Embedded Systems and Internet Of Thing, can be implemented in a system capable of monitoring air pollution, where the system is capable of transmitting data in real time using sensors located at near or far distances. To transmit data from various sensor devices that are located remotely, the use of LoRA technology is a solution for sending data between the client and the gateway, LoRA communication technology can be implemented into an air pollution monitoring system where the sensors are placed far from the gateway and cloud server. The prototype of this air pollution detector uses an Arduino Uno microcontroller and a Nitrogen Carbon sensor that can detect CO, NO2 and NH3 connected to LoRA Shield with the IoT platform as a monitoring and notification system. The measurement results of the three sensors in this study are displayed on the Smart Phone as a notification. From the research, it was found that the content of NH3 was 1.88ppm, CO was 17.76 ppm and NO2 was 0.12ppm. Based on the Air Pollutant Index, the results of the air quality in this area are not good.
Sistem Monitoring Polusi Udara Mengggunakan Sensor Nitrogen Carbon Berbasis Internet of Thing Ferry Fachrizal; Julham Julham; Antoni Antoni
Jurnal Sistem Komputer dan Informatika (JSON) Vol. 4 No. 1 (2022): September 2022
Publisher : Universitas Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/json.v4i1.4903

Abstract

Technological developments in the field of Embedded Systems and Internet Of Thing, can be implemented in a system capable of monitoring air pollution, where the system is capable of transmitting data in real time using sensors located at near or far distances. To transmit data from various sensor devices that are located remotely, the use of LoRA technology is a solution for sending data between the client and the gateway, LoRA communication technology can be implemented into an air pollution monitoring system where the sensors are placed far from the gateway and cloud server. The prototype of this air pollution detector uses an Arduino Uno microcontroller and a Nitrogen Carbon sensor that can detect CO, NO2 and NH3 connected to LoRA Shield with the IoT platform as a monitoring and notification system. The measurement results of the three sensors in this study are displayed on the Smart Phone as a notification. From the research, it was found that the content of NH3 was 1.88ppm, CO was 17.76 ppm and NO2 was 0.12ppm. Based on the Air Pollutant Index, the results of the air quality in this area are not good.
Perbandingan TextRank Berbasis TF-IDF dan Word2Vec dalam Peringkasan Teks Berita Bahasa Indonesia Yohannes Christian Gurning; Samuel Cristian Saragih; Yuyun Yusnida Lase; Julham Julham
Jurnal Komputer Teknologi Informasi Sistem Komputer (JUKTISI) Vol. 4 No. 2 (2025): September 2025
Publisher : LKP KARYA PRIMA KURSUS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62712/juktisi.v4i2.552

Abstract

Automatic text summarization has become an essential solution for processing massive textual information, particularly in lengthy news articles. This study compares two variants of the TextRank algorithm using different weighting schemes: TF-IDF and Word2Vec, for summarizing Indonesian news texts. The dataset comprises 160 news articles from Kompas.com, which underwent preprocessing. Evaluation was conducted using ROUGE metrics (ROUGE-1, ROUGE-2, ROUGE-L), manual readability assessment, and execution runtime. The results indicate that TextRank with Word2Vec outperforms TF-IDF in both ROUGE scores (ROUGE-1 F1: 0.7033 vs 0.6454) and processing speed. These findings suggest that incorporating semantic representations into graph-based algorithms like TextRank significantly improves summary quality and runtime efficiency.