Mewujudkan Eco Green di Kota Semarang dengan Integrasi Aplikasi “Ecotrack: Inovasi Cerdas Atasi Sampah” Berbasis Mobile Flutter(Dart) dan ExpressJS
Mewujudkan Eco Green Di Kota Semarang Dengan Integrasi Aplikasi “Ecotrack: Inovasi Cerdas Atasi Sampah ” Berbasis Mobile Flutter(Dart) Dan ExpressJS
DOI:
https://doi.org/10.52072/unitek.v19i01.1915Keywords:
pengelolaan sampah, plikasi mobile EcoTrack, flutter, ExpressJSAbstract
Waste management issues in Semarang City continue to increase along with population growth and community activities, with 28.66% of waste not being properly handled. This study aims to develop the EcoTrack application as a mobile-based digital solution to support waste management and realize the eco-green concept. The application is developed using Flutter (Dart) as the mobile platform and ExpressJS as the backend. The research method includes literature study, system design, and testing using black box testing and the System Usability Scale (SUS). The main features of the application include Temporary Disposal Site (TPS) location mapping, waste management education, complaint reporting, information on waste economic value, emergency services, and integration with waste banks. The results show that all application features function properly based on black box testing. Usability testing involving 30 respondents produced an SUS score of 80, categorized as good and acceptable. This indicates that the application is easy to use and feasible to implement. Therefore, EcoTrack has the potential to become an innovative solution for improving waste management and encouraging active community participation in environmental sustainability.
Downloads
References
Arie Gunawan,2024. Mobile Programming Menggunakan Flutter Dan Visual Studio Code Untuk Pemula. Penerbit Literasi Nusantara Abadi Grup. ISBN : 978-623-114-735-6
Aulyy Et.Al,2023. Metode Penelitian Kualitatif (Teori & Panduan Praktis Analisis Data Kualitatif). Https://www.Researchgate.Net/Publication/380401514
Cahyani, N. M. Y., & Pramartha, C. (2023). Pengembangan Aplikasi Pemilah Sampah Berbasis Android Sebagai Upaya Mempermudah Pengelolaan Sampah Di Lingkungan Rumah Tangga.
Hermawansyah, A., Tristiyanto, T., & Prabowo, R. (2022). Aplikasi Multi Bank Sampah Berbasis Web. Jurnal Pepadun, 3(1), 64–73. Https://Doi.Org/10.23960/Pepadun.V3i1.103
Listiyah, A., Mahfud, F. K. R., & Bahtiar, F. S. (2022). Uji Usability Pada Institutional Repository Perpustakaan UIN Maulana Malik Ibrahim Malang Dengan Metode System Usability Scale (SUS) Dan Discovery Prototyping. Libtech: Library And Information Science Journal; 42-51 ; 2723-7605. Http://Ejournal.Uin-Malang.Ac.Id/Index.Php/Libtech/Article/View/17001
Malina, A. C., & Muchtar, A. (2017). Kajian Lingkungan Tempat Pemilahan Sampah Di Kota Makassar.
Mardi Suryanto, T. L., Faroqi, A., & Simarmata, W. N. (2022). SYSTEM USABILITY SCALE (SUS) SEBAGAI METODE PENGUJIAN KEGUNAAN PADA SITUS PROGRAM STUDI. Prosiding Seminar Nasional Teknologi Dan Sistem Informasi, 2(1), 285–294. Https://Doi.Org/10.33005/Sitasi.V2i1.314
Rasendriya, M. A., Fauzi, K. R., Puspita Sari, J. A., Sinaga, R. A., & Mandasari, R. D. (2024). Integrasi Gamifikasi Dalam Aplikasi Sampah Tukar: Desain Ui/Ux Untuk Pertukaran Sampah Dengan Mata Uang Digital. Jurnal Informatika Dan Teknik Elektro Terapan, 12(1). Https://Doi.Org/10.23960/Jitet.V12i1.3877
R. Parlika, T. A. Nisaa, S. M. Ningrum, And B. A. Haque, “Studi Literatur Kekurangan Dan Kelebihan Pengujian Black Box,” Teknomatika, Vol. 10, No. 02, Pp. 131–140, 2020
Samin, S. (2024). Analisis Rute Pengangkutan Sampah Domestik Kota Malang Berbasis Aplikasi Google Map. Jurnal Penelitian Inovatif, 4(3), 949–958. Https://Doi.Org/10.54082/Jupin.439
Varinia Azkarin, Rangga Gelar Guntara, & Oding Herdiana. (2023). Development Of A REST API For Human Resource Information System For Employee Referral Management Domain Using The Express JS Framework And Node.Js. Journal Of Scientific Research, Education, And Technology (JSRET), 2(3), 1085–1094. Https://Doi.Org/10.58526/Jsret.V2i3.199
Wong, J. (2022). Aplikasi Klasifikasi Sampah Organik Dan Non Organik Dengan Metode GLCM Dan LS-SVM. Bulletin Of Computer Science Research, 3(1), 83–89. Https://Doi.Org/10.47065/Bulletincsr.V3i1.198
