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Prediksi Waktu Tunggu Pada Sistem Antrean Pasien Berbasis Mobile Menggunakan Algoritma Random Forest Rani Tasya Samosir; Suroso Suroso; Irma Salamah
Jurnal Minfo Polgan Vol. 15 No. 2 (2026): Artikel Penelitian
Publisher : Politeknik Ganesha Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33395/jmp.v15i2.16409

Abstract

Pengelolaan antrean pasien merupakan salah satu aspek penting dalam meningkatkan kualitas pelayanan kesehatan karena ketidaktersediaan informasi estimasi waktu tunggu dapat menimbulkan ketidakpastian bagi pasien. Penelitian ini bertujuan merancang dan membangun sistem antrean pasien berbasis mobile yang terintegrasi dengan algoritma Random Forest untuk memprediksi waktu tunggu pelayanan. Model prediksi dibangun menggunakan 208 data historis pelayanan pasien yang dibagi menjadi 80% data latih dan 20% data uji. Variabel jenis layanan dan antrean sebelumnya digunakan sebagai masukan (input), sedangkan waktu tunggu digunakan sebagai target prediksi. Kinerja model dievaluasi menggunakan R-Squared (R²) dan Mean Absolute Error (MAE), sedangkan fungsionalitas sistem diuji menggunakan metode Black Box Testing. Hasil evaluasi menunjukkan bahwa model Random Forest memperoleh nilai R² sebesar 0,9773 dan MAE sebesar 9,77 menit, yang menunjukkan bahwa model memiliki kemampuan prediksi yang sangat baik. Selain itu, hasil pengujian menunjukkan bahwa seluruh fitur sistem berfungsi sesuai dengan kebutuhan. Sistem yang dibangun mampu menyediakan informasi estimasi waktu tunggu kepada pasien, sehingga membantu mengurangi ketidakpastian, meningkatkan efisiensi pengelolaan antrean, serta mendukung peningkatan kualitas pelayanan kesehatan.
Implementation of an IoT-Based Automation and Monitoring System for Pempek Production Using ESP32 at Pempek Ashifa MSME in Sematang Borang Muhammad Zaid Akbar; Suroso Suroso; Irma Salamah
Sisfo: Jurnal Ilmiah Sistem Informasi Vol. 10 No. 2 (2026): Sisfo: Jurnal Ilmiah Sistem Informasi, Oktober 2026 (In Press)
Publisher : Universitas Malikussaleh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29103/sisfo.v10i2.27928

Abstract

The production process of pempek at small and medium enterprises (SMEs) generally involves repetitive activities, particularly during the dough mixing and molding processes, which require considerable time and operator effort. This study aims to develop a semi-automatic pempek production system based on the Internet of Things (IoT) to assist the mixing, molding, and cutting processes at Pempek Ashifa MSME in Sematang Borang. The system uses an ESP32 as the main controller and integrates DC motors, an MG996R servo motor, manual push buttons, limit switches, and a Telegram Bot for remote control. System evaluation was conducted through functional testing, servo cutting testing, Telegram command response testing, and performance comparisons between conventional hand operation, manual machine control, and IoT-based control using 1 kg, 2 kg, and 3 kg of dough. The results showed that all manual control functions operated successfully, while the servo cutting mechanism successfully produced 50, 100, and 150 pieces from 1 kg, 2 kg, and 3 kg of dough, respectively, at a 90° servo angle and 3-second cutting time. The Telegram commands /aduk_on and /aduk_off achieved a response time of 3 seconds, while /cetak_on achieved 4 seconds. In the mixing process, the total processing time decreased from 47 minutes using the conventional hand method to 39 minutes using both manual-button and IoT control. In the molding process, the total time decreased from 180 minutes to 130 minutes. The production quantity remained consistent across all tested methods. These results indicate that the developed system can improve pempek production efficiency through reduced processing time and provide operational flexibility through local and remote IoT control.