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Journal : JOURNAL OF INFORMATION SYSTEM RESEARCH (JOSH)

Sistem Lingkungan Pintar Solusi Cerdas Pengelolaan Sampah Menggunakan Adaptasi Machine Learning dan Internet of Things Widiyono, Widiyono; Amalia, Nurul; Ismanto, Bambang
Journal of Information System Research (JOSH) Vol 7 No 2 (2026): January 2026
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/josh.v7i2.8941

Abstract

Indonesia's waste generation increased from 28.59 million tons per year in 2021 to 34.21 million tons per year in 2024, a 19.67% increase. However, in 2024, only 46.1% of the total waste generation was successfully managed.. This condition highlights the need for a more efficient waste management solution, particularly at Temporary Disposal Sites (TPS), which still rely on manual monitoring and often experience waste overflow. This study aims to develop a Smart Environmental System based on the Internet of Things (IoT) and Machine Learning to monitor waste levels in real time and predict disposal patterns using historical data. The research uses a qualitative approach through field observations, interviews with the Environmental Agency, and literature studies to identify system requirements. System design was carried out using UML diagrams, followed by the development of an IoT device using ESP32 and an Android application built with Flutter, integrated with Firebase. The Machine Learning model employs the Random Forest algorithm to classify waste-level conditions. System testing included unit testing, integration testing, performance testing, and user evaluation using the PIECES method. The results show that the Performance, Information, Control, and Efficiency aspects scored above 80%, indicating that the system effectively provides sensor information, ensures data security, and improves operational efficiency. However, the Economic and Service aspects still require optimization, particularly in reducing operational costs and improving system maintenance routines. Overall, the system demonstrates strong potential in supporting smarter, faster, and more efficient waste management, and is suitable for further development.
Co-Authors Agung Setyawan Akmalia, Arta Anik Suwarni Anik Suwarni,, Anik Suwarni Anwar, Nurlina ARI PUTRA WIBOWO Ariastuti, Reni arief soma darmawan Atik Aryani Ayuvadhana, Nandiya Azmi, Lut Dika Daru Bambang Ismanto Chasanah, Tria Titiani Chusni, H.M Ali DARMAWAN, ARIEF SOMA Defama, Azriela Atikah Dewi, Sukhitta Dyah Herawati, Vitry Eko Budihartono, Eko Eriyanti, Etty Faizal Kurniawan Fajar Alam Putra, Fajar Alam Fitri Budi Astuti Fitria, Febri Herawati, Vitri Dyah Indriastiningsih, Erna Indriyati Indriyati Istanto, Heni Ita Purnama, Ita Junarsih, Junarsih Kiryono, Kiryono Kumara, Ryan Aditya Kustiani, Kustiani Lepir, Margareta Niwa Maulana, Kaka Rizki Mufidah, Ni’mah Nur Ashari, Ersa Lutfiah Nur Fadhilah nur nfitriana, latifah Nurani, Wiwik Nurhayadi nursetyoputri_111002 Nurul Amalia Parsiyono, Parsiyono prahasta, nyimas evandia Praspaskalis Anes, G. Yosse Prastikasari, Dita Ayu Pratama, Louris Sam Primasanti, Yunita Putri, Revania Aprilia Risqiati, Risqiati Riyanto Riyanto Rusila, Jihan Saifudin, Anas Sayekti, Rina Setiawan, Panna Setyaningsih Setyaningsih, Setyaningsih Sri Mularsih Sugeng Sugeng Sugianti, Devi Sukodoyo Sumarni, Ranti Ningsih Sumarni, Rantiningsih Suranto Suranto SUTRISNO Sutrisno, Sutrisno Syaifudin, Anas Tampubolon, Masrina Munawarah Taryadi Taryadi Taufikqurrohmnan, Taufikqurrohmnan Tri Saputra Medhācitto Utari, Meisi Wahyuni, Meta Setiya Wardani, Mudita Wardaningtyas, Aprilia Fifi WIBOWO, ARI PUTRA Wibowo, Tabah Wisnu Widiyastuti, Dewi Sri Widiyastuti Wim Hapsoro, Hermanus Wulansari, Agix