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All Journal Jurnal Teknik dan Science (JTS) Jurnal Penelitian Rumpun Ilmu Teknik
Violla Gunova
Politeknik Negeri Bandung
Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering

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Analisis Akurasi dan Presisi Sensor Ultrasonik Estimasi Level Tong Sampah Pintar Berbasis Arduino Violla Gunova
Jurnal Teknik dan Science Vol. 5 No. 1 (2026): Februari : Jurnal Teknik dan Science
Publisher : Asosiasi Dosen Muda Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56127/jts.v5i1.2634

Abstract

This study analyzes the accuracy and precision of ultrasonic sensors for estimating waste levels in two sizes of Arduino-based smart trash cans in a community service program at a private high school in Jambi City. Two cardboard trash can prototypes were used as learning media, namely a small trash can measuring 10 cm × 10 cm × 20 cm and a large trash can measuring 30 cm × 30 cm × 50 cm. The testing was conducted by measuring the distance between the sensor and the surface of the waste/object at several predetermined reference distances using a ruler. For each distance condition, 10 readings were taken at 2-second intervals. The evaluation parameters included the mean, standard deviation (SD), bias, MAE, and RMSE. The results show that the average readings on both prototypes were close to the reference distance with a small bias. The variation in readings tended to increase at close distances, with the highest SD at a distance of 5 cm for both bins. When the bins were empty (20 cm for the small bin and 50 cm for the large bin), the measurements tended to be more accurate and precise than when the bins were full. In aggregate, the MAE and RMSE of the large bin (≈0.166 cm and ≈0.235 cm) were smaller than those of the small bin (≈0.225 cm and ≈0.335 cm). These findings confirm that ultrasonic sensors are suitable for monitoring waste levels, with the recommendation to avoid readings at very close distances and to apply data processing to improve the stability of level estimates.
Pembelajaran Bertahap Logika dan Pemrograman Visual Menuju Implementasi Smart Watering System Berbasis ESP32 dalam Program PkM di Salah Satu SMA Swasta di Kota Jambi Violla Gunova; Bima gerry Pratama; Ahmad Abuzar Al-Hamdani; Shelly Angella
Jurnal Penelitian Rumpun Ilmu Teknik Vol. 5 No. 2 (2026): Jurnal Penelitian Rumpun Ilmu Teknik
Publisher : Lembaga Pengembangan Kinerja Dosen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/juprit.v5i2.6824

Abstract

Microcontroller-based system training requires participants to understand fundamental logic and programming concepts before directly implementing hardware-based applications. This study analyzes the improvement of participants' basic competencies through the initial stage of an ESP32-based Smart Watering System training program designed as a progressive learning sequence from logical concepts to visual programming. The initial training stage was conducted for six days and covered mathematical logic and logic gates, visual programming using Scratch, and mobile application development using MIT App Inventor. Prior to the training, participants completed a 20-item pre-test to measure their initial competence, while a post-test was administered after completing the entire initial training stage. A total of 34 participants were registered at the beginning of the program, of whom 21 completed all training activities and participated in the post-test. The results showed that the participants' mean score increased from 68.33 in the pre-test to 86.67 in the post-test, representing an improvement of 18.33 points. A paired-samples t-test indicated a significant difference between pre-test and post-test scores with t(20)=4.36 and p<0.001. Cohen's dz effect size of 0.95 indicated a large magnitude of change. These results suggest that progressive learning through mathematical logic, logic gates, Scratch, and MIT App Inventor can support the development of participants' fundamental competencies before proceeding to C programming, Arduino, and the implementation of an ESP32-based Smart Watering System.
Co-Authors Ahmad Abuzar Al-Hamdani Pratama, Bima Gerry Shelly Angella