Article Per Year (5 Year)
p-Index From 2021 - 2026
0.444
P-Index
This Author published in this journals
All Journal Jurnal Pseudocode Journal of Technology and Informatics (JoTI)
Panjaitan, Apriansa Arwandi
Unknown Affiliation
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Electrical & Electronics Engineering Engineering Mechanical Engineering

Published : 2 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 2 Documents
Search

 1 
Pengembangan Sistem Prediksi Harga dan Rekomendasi Mobil Bekas Berbasis Machine Learning Anggara, Jerry; Ramadhan, Fauzi Rahmat; Syofian, Achmad Fikri; Panjaitan, Apriansa Arwandi; Fithra, Raka Fazah
Journal of Technology and Informatics (JoTI) Vol. 7 No. 1 (2025): Vol. 7 No.1 (2025)
Publisher : Universitas Dinamika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37802/joti.v7i1.987

Abstract

The used car sales business in Indonesia has been experiencing rapid growth, driven by increasing market demand. However, determining the price of used cars remains a challenge due to various influencing factors such as the year of production, mileage, and vehicle specifications. This research develops a web-based used car price prediction system using the XGBoost Regressor algorithm. The data used undergoes preprocessing and hyperparameter tuning to produce a high-performance model (R²: 97.79% on training data and 89.90% on testing data, MSE: 2.3129, RMSE: 1.5208). Additionally, the system provides a car recommendation feature using a Rule-Based Method, allowing users to filter vehicles based on specific criteria. The results demonstrate that this system effectively assists both buyers and sellers in making more informed, efficient, and transparent decisions in used car transactions.
Prototype sistem monitoring status pintu berbasis iot dengan notifikasi web dan telegram Panjaitan, Apriansa Arwandi; Dzulha, Annastia Reza; Sobur, Susilawati
Jurnal Pseudocode Vol 13 No 1 (2026): Volume 13 Nomor 1 Februari 2026
Publisher : UNIB Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33369/pseudocode.13.1.1-8

Abstract

In the era of the Industrial Revolution 4.0, the Internet of Things (IoT) has become an innovative solution for enhancing home security. This study designs and implements an IoT-based monitoring door status system using the ESP8266 microcontroller combined with a magnetic sensor. The system enables real-time monitoring and notifications to users via Telegram and provides door status display through a website. With an integrated alarm feature to prevent unauthorized access, this system is expected to enhance home security at a more affordable cost compared to conventional security systems. Testing results indicate that the system accurately detects door status changes with a notification response time of less than 2 seconds. These findings demonstrate the system’s effectiveness in improving security and user conveniencel.
Co-Authors Anggara, Jerry Dzulha, Annastia Reza Fithra, Raka Fazah Ramadhan, Fauzi Rahmat Sobur, Susilawati Syofian, Achmad Fikri