WORKSHOP PENDAMPINGAN BISNIS TEKNOLOGI CERDAS “SMART TRASH BIN” DESA KESAMBEN, KECAMATAN NGAJUM, MALANG, INDONESIA

Kesamben Village, Ngajum District, Malang Regency faces serious problems in waste management that have an impact on the environment and public health. This community service program aims to introduce "Smart Trash Bin" technology as an innovative solution in improving the efficiency and effectiveness of waste management in the village. This technology uses automatic sensors that allow people to dispose of garbage without touching the trash can, making it more hygienic and comfortable. Early results show high enthusiasm from the public for this technology, which can be seen from active participation in socialization, training, and question and answer sessions. The application of this technology has also succeeded in improving environmental cleanliness and reducing health risks. However, some challenges such as high implementation costs and difficulties in technology adaptation still need to be overcome through adequate financial support and ongoing training. With collaboration between the government, local communities, and related parties, this program has great potential to become a model in the application of smart technology for sustainable waste management in other regions.

Authors

Publication Details

Journal
Indonesian Journal of Engagement Community Services Empowerment and Development
Published
2024-12-10
DOI
https://doi.org/10.53067/ijecsed.v4i3.169
Primary Topic
SMEs Development and Digital Marketing
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

WORKSHOP PENDAMPINGAN BISNIS TEKNOLOGI CERDAS “SMART TRASH BIN” DESA KESAMBEN, KECAMATAN NGAJUM, MALANG, INDONESIA

Fadilla Cahyaningtyas, Samsul Arifin, Nur Lailatul Aqromi, Sunu Jatmika et al.
Indonesian Journal of Engagement Community Services Empowerment and Development
SMEs Development and Digital Marketing
article

WORKSHOP PENDAMPINGAN BISNIS TEKNOLOGI CERDAS “SMART TRASH BIN” DESA KESAMBEN, KECAMATAN NGAJUM, MALANG, INDONESIA

Fadilla Cahyaningtyas, Samsul Arifin, Nur Lailatul Aqromi, Sunu Jatmika, Rifki Hanif, Siti Nurul Afiyah, Justita Dura, Ahmad Nizar Yogatama, Mufidatul Islamiyah, Jaenal Arifin, Mohammad Bukhori, Suastika Yulia Riska, Lia Farokah
article en

Abstract

Kesamben Village, Ngajum District, Malang Regency faces serious problems in waste management that have an impact on the environment and public health. This community service program aims to introduce "Smart Trash Bin" technology as an innovative solution in improving the efficiency and effectiveness of waste management in the village. This technology uses automatic sensors that allow people to dispose of garbage without touching the trash can, making it more hygienic and comfortable. Early results show high enthusiasm from the public for this technology, which can be seen from active participation in socialization, training, and question and answer sessions. The application of this technology has also succeeded in improving environmental cleanliness and reducing health risks. However, some challenges such as high implementation costs and difficulties in technology adaptation still need to be overcome through adequate financial support and ongoing training. With collaboration between the government, local communities, and related parties, this program has great potential to become a model in the application of smart technology for sustainable waste management in other regions.

Indonesian Journal of Engagement Community Services Empowerment and DevelopmentVol. 4(3)
Openalex Percentile: Top 41%
SMEs Development and Digital Marketing
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.