IoT Based Industrial Waste Monitoring System Design with Data Visualization on A Web Application Using The Supervised Learning Method

Muhammad Nauval Asyqar Ridwan Ritonga; Halim Maulana

doi:10.56211/hanif.v3i1.50

Authors

Muhammad Nauval Asyqar Ridwan Ritonga Universitas Muhammadiyah Sumatera Utara
Halim Maulana Universitas Muhammadiyah Sumatera Utara

DOI:

https://doi.org/10.56211/hanif.v3i1.50

Keywords:

IoT; ESP32; Industrial Wastewater; Sensors; Decision Tree; Web Application

Abstract

Industrial waste management is a critical aspect of sustainable manufacturing, as improper handling can lead to severe environmental pollution and health hazards. Real-time monitoring of industrial waste parameters enables early detection of irregularities and supports informed decision-making for compliance with environmental regulations. This study presents the design of an IoT-based industrial waste monitoring system integrated with data visualization on a web application and enhanced by the supervised learning method for predictive analysis. The system utilizes IoT sensor nodes to measure key waste parameters such as pH level, temperature, turbidity, and chemical concentration. Sensor data is transmitted wirelessly to a cloud server, where it is stored, processed, and analyzed using supervised learning algorithms to classify waste quality and detect potential violations. The web application provides interactive dashboards, historical data tracking, and real-time alerts for stakeholders. Testing results demonstrate that the system achieves high accuracy in classifying waste conditions, offers user-friendly visual analytics, and enables proactive waste management. This research contributes to the development of intelligent environmental monitoring solutions, promoting efficiency, compliance, and sustainability in industrial operations.

Downloads

Download data is not yet available.

References

Book: Single Author

Indah Purnama Sari. Algoritma dan Pemrograman. Medan: UMSU Press, 2023, pp. 290.

Indah Purnama Sari. Buku Ajar Pemrograman Internet Dasar. Medan: UMSU Press, 2022, pp. 300.

Indah Purnama Sari. Buku Ajar Rekayasa Perangkat Lunak. Medan: UMSU Press, 2021, pp. 228.

Book: Two or More Authors

Janner Simarmata Arsan Kumala Jaya, Syarifah Fitrah Ramadhani, Niel Ananto, Abdul Karim, Betrisandi, Muhammad Ilham Alhari, Cucut Susanto, Suardinata, Indah Purnama Sari, Edson Yahuda Putra. Komputer dan Masyarakat. Medan: Yayasan Kita Menulis, 2024, pp.162.

Mahdianta Pandia, Indah Purnama Sari, Alexander Wirapraja Fergie Joanda Kaunang, Syarifah Fitrah Ramadhani Stenly Richard Pungus, Sudirman, Suardinata Jimmy Herawan Moedjahedy, Elly Warni, Debby Erce Sondakh. Pengantar Bahasa Pemrograman Python. Medan : Yayasan Kita Menulis, 2024, pp.180

Zelvi Gustiana Arif Dwinanto, Indah Purnama Sari, Janner Simarmata Mahdianta Pandia, Supriadi Syam, Semmy Wellem Taju Fitrah Eka Susilawati, Asmah Akhriana, Rolly Junius Lontaan Fergie Joanda Kaunang. Perkembangan Teknologi Informatika. Medan: Yayasan Kita Menulis, 2024, pp.158

Muharman Lubis Ilham Firman Ashari, Debby Erce Sondakh, Rahmawati Rolly Junius Lontaan, Mustarum Musaruddin Indah Purnama Sari, Muh. Nadzirin Anshari Nur, Hanalde Andre Muh. Rais, Janner Simarmata. Internet of Things (IoT) Dan Multimedia: Integrasi Dan Aplikasi. Medan: Yayasan Kita Menulis, 2024, pp.182

Journal Article from the Internet

Trevor, H., Robert, T., & Friedman, J. (2009). The Elements of Statistical Learning: Data Mining, Inference, and Prediction (2nd ed.). Springer.

Rudi, H., Putra, S., & Muhammad, F. (2021). Implementasi Machine Learning dalam Pemantauan Kualitas Air Limbah Industri. Jurnal Sains Dan Teknologi, 12(2), 87–99.

Ahmad, P., & Siti, R. (2021). Analisis Efisiensi Pemantauan Limbah Industri Menggunakan Metode Konvensional. Jurnal Rekayasa Lingkungan, 14(3), 112–120.

Lestari, S., Fitri, W., & Hafiz, M. (2020). Dampak Limbah Industri terhadap Ekosistem dan Kesehatan Masyarakat di Indonesia. Jurnal Ekologi Lingkungan, 9(4), 134–148.

Yudi, S., Bambang, P., & Mulyadi, H. (2022). Implementasi Internet of Things (IoT) dalam Sistem Pemantauan Limbah Berbasis Sensor Nirkabel. Jurnal Teknologi Terapan, 16(2), 88–99.

Rendi, W., Dian, L., & Anwar, P. (2019). Optimasi Pengolahan Limbah Industri melalui Pemantauan Otomatis Berbasis Teknologi Sensor. Jurnal Sains Dan Teknologi, 10(1), 55–67.

Yohanes Matius, Z., Saut Napoleon, S., & Paulus Pardede, S. (2023). Penerapan Flowchart dalam Perancangan Sistem Informasi Manajemen. Jurnal Teknologi Informasi, 19(1), 45–58.

Sari, I.P., Al-Khowarizmi,A.K., Apdilah, D., Manurung, A.A., & Basri, M. (2023). Perancangan Sistem Pengaturan Suhu Ruangan Otomatis Berbasis Hardware Mikrokontroler Berbasis AVR. sudo Jurnal Teknik Informatika 2 (3), 131-142 DOI: https://doi.org/10.56211/sudo.v2i3.327

Wardani., S, & Dewantoro., RW. (2024). Internet of Things: Home Security System based on Raspberry Pi and Telegram Messenger. Indonesian Journal of Applied Technology, Computer and Science 1 (1), 7-13

Sari, I.P., Al-Khowarizmi, A.K., Hariani, P.P., Perdana, A., & Manurung, A.A. (2023). Implementation And Design of Security System On Motorcycle Vehicles Using Raspberry Pi3-Based GPS Tracker And Facedetection. Sinkron: jurnal dan penelitian teknik informatika 8 (3), 2003-2007 DOI: https://doi.org/10.33395/sinkron.v8i3.12935

Y.Efendi, "Internet of Things (IoT) Light Control System Using Mobile-Based Raspberry Pi", Scientific Journal of Computer Science, Vol. 4, no. 1, April 2018.

Sari, I.P., Basri, M., Ramadhani, F., & Manurung, A.A. (2023). Penerapan Palang Pintu Otomatis Jarak Jauh Berbasis RFID di Perumahan. Blend Sains Jurnal Teknik 2 (1), 16-25 DOI: https://doi.org/10.56211/blendsains.v2i1.246

SJ Sokop et.al, "Peripheral Interface Trainer Based on Arduino Uno Microcontroller", E-Journal of Electrical and Computer Engineering vol.5 no.3 (2016).

Sari, I.P., & Batubara, I.H. (2020). Aplikasi Berbasis Teknologi Raspberry Pi Dalam Manajemen Kehadiran Siswa Berbasis Pengenalan Wajah. JMP-DMT 1 (4), 6

M. Saleh and M. Haryanti, "Design of a Home Security System Using Relays", Journal of Electrical Technology, Mercu Buana University, Vol. 8 No. May 2, 2017

Sari, I.P., Batubara, I.H., & Basri, M. (2022). Implementasi Internet of Things Berbasis Website dalam Pemesanan Jasa Rumah Service Teknisi Komputer dan Jaringan Komputer. Blend Sains Jurnal Teknik 1 (2), 157-163 DOI: https://doi.org/10.56211/blendsains.v1i2.136

Matondang, M.H.A., Asadel, A., Fauzan, D., & Setiawan, A.R. (2024). Smart Helmet for Motorcycle Safety Internet of Things Based. Tsabit Journal of Computer Science 1 (1), 35-39 DOI: https://doi.org/10.56211/tsabit20

Sari, I.P., Novita, A., Al-Khowarizmi, A., Ramadhani, F., & Satria, A. (2024). Pemanfaatan Internet of Things (IoT) pada Bidang Pertanian Menggunakan Arduino UnoR3. Blend Sains Jurnal Teknik 2 (4), 337-343 DOI: https://doi.org/10.56211/blendsains.v2i4.505

Husaini, A., & Sari, I.P. (2023). Konfigurasi dan Implementasi RB750Gr3 sebagai RT-RW Net pada Dusun V Suka Damai Desa Sei Meran. sudo Jurnal Teknik Informatika 2 (4), 151-158 DOI: https://doi.org/10.56211/sudo.v2i4.378