cover
Contact Name
Sari Yuniarti
Contact Email
sari.abdimas@unmer.ac.id
Phone
+623415080008
Journal Mail Official
abdimas@unmer.ac.id
Editorial Address
Jl. Terusan Raya Dieng No. 62-64, Malang, Indonesia, 65146
Location
Kota malang,
Jawa timur
INDONESIA
Abdimas: Jurnal Pengabdian Masyarakat Universitas Merdeka Malang
ISSN : 2721138X     EISSN : 25487159     DOI : https://doi.org/10.26905/abdimas
Core Subject : Humanities,
ABDIMAS: Published by Institute for Research and Community Services (Lembaga Penelitian dan Pengabdian kepada Masyarakat (LPPM)) University of Merdeka Malang as the implementation of science, technology, economics, environment, and social in empowering the community. ABDIMAS: Jurnal Pengabdian Masyarakat Universitas Merdeka Malang as part of the spirit of disseminating the results of community service. The ABDIMAS UNMER Malang Journal site provides journal articles for free download. ABDIMAS UNMER Malang Journal is a national scientific journal which is a reference source of academics in the field of Community Service.
Arjuna Subject : Umum - Umum
Articles 552 Documents
Community-based flood early warning through an SMS detection system in Jember Lor Muhammad Riza Darmawan; Martiana Kholila Fadhil; Dananjaya Endi Pratama; Ilvan Rezky Pradana; Riyanto; Antariksa Putra Darmaji; Andri Kusuma Ramadhani; ACH. Milladitya Lazuwardi; Nayaka Bhawika Albab
Abdimas: Jurnal Pengabdian Masyarakat Universitas Merdeka Malang Vol. 11 No. 3 (2026): August 2026
Publisher : University of Merdeka Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26905/abdimas.v11i3.17462

Abstract

Jember Lor Village, particularly RW 10 RT 02 in Patrang District, Jember Regency, is frequently affected by flooding caused by the overflow of the Bedadung River during high-intensity rainfall, while the absence of a real-time early warning system leaves residents with very limited evacuation time. This community service program aims to improve residents' understanding of and preparedness for flood disasters and to introduce an SMS notification-based flood early detection system. The system consists of a float sensor for measuring water levels, an Arduino Nano microcontroller as the data processing unit, and a SIM800L GSM module as the SMS gateway. The program was implemented using a participatory approach through counseling sessions, interactive discussions, and hands-on implementation of the system's components and working principles. The effectiveness was measured using pre-test and post-test instruments and a participant satisfaction questionnaire. The results showed that participants' average scores increased from 54.5 to 87.9, a rise of 61.3 percent, with an overall satisfaction index of 85 percent (very satisfied category). The program is expected to encourage the establishment of a community-based flood preparedness team and the sustainable installation of an early warning system in the area.
Implementation of IoT-based smart farming and a price platform for farmer capacity building and productivity support Triana Fatmawati; Yan Watequlis Syaifudin; Indrazno Siradjuddin; Yuri Ariyanto; Rokhimatul Wakhidah; Chandrasena Setiadi
Abdimas: Jurnal Pengabdian Masyarakat Universitas Merdeka Malang Vol. 11 No. 3 (2026): August 2026
Publisher : University of Merdeka Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26905/abdimas.v11i3.17576

Abstract

Bumiaji Sejahtera Agricultural and Rural Self-Help Training Center (P4S) plays a strategic role as an agricultural training center in Batu City but still faces limited smart farming facilities and access to agricultural commodity price information. This community service program aimed to improve young farmers’ knowledge, operational skills, and readiness to adopt technology through Internet of Things devices, a greenhouse monitoring application, and an agricultural commodity price information and forecasting platform. The program involved needs assessment, module development, device installation and demonstration, training, field practice, mentoring, and evaluation. Fifteen young farmers participated in the program. Evaluation was conducted through pre- and post-activity questionnaires, practical assessments, and pre-test and post-test instruments. The participants’ average score increased from 58 to 74, representing a 16-point improvement. Furthermore, 93.3 percent of participants considered the system easy to understand, 80 percent intended to use it within one month, and 73.3 percent were able to operate it independently. The program produced reusable IoT-based monitoring devices, training modules, and digital platforms that strengthened participants’ initial capacity and technology adoption readiness.