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All Journal Jurnal Pengabdian Masyarakat Bidang Sains dan Teknologi Journal of Novel Engineering Science and Technology
Arrofiqi, Fauzan
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Sosialisasi Penerapan Apartemen Ikan sebagai Upaya Peningkatan Ketahanan Pangan Masyarakat Pesisir di Bancaran Mertiara Ratih Terry Laksani; Pramithasari, Febi Ayu; Arrofiqi, Fauzan
ABDIKAN: Jurnal Pengabdian Masyarakat Bidang Sains dan Teknologi Vol. 4 No. 4 (2025): November 2025
Publisher : Yayasan Literasi Sains Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55123/abdikan.v4i4.7129

Abstract

The socialization program for implementing fish apartments in Bancaran was developed to enhance food security and strengthen the capacity of local fishing communities. Degradation of coastal ecosystems, declining fish catches, and increasing exploitation have reduced fish availability, affecting income stability and lowering fish stocks. Fish apartments are introduced as a solution to increase habitat complexity, provide nursery and spawning areas, attract fish aggregations, and ultimately improve aquatic productivity. The program applied a community empowerment approach, beginning with the introduction of the fish apartment concept, followed by discussions on structural designs and agreement on suitable installation sites. Activities were conducted at the Bancaran Village Hall and involved 22 participants, 80% of whom were fishers, along with representatives from other coastal fisheries sectors. Additional participants included DP2KP, TNI, POLRI, and local traders. Visual presentations and interactive discussions were used as the primary methods. Program effectiveness was evaluated through pre- and post-tests to measure understanding and perceptions. Results showed a substantial increase in knowledge of fish apartment structures and benefits, rising from 18% to 100%. Perception also improved, with “strongly agree” responses increasing from 86.4% to 100%. These outcomes reflect strong community support and provide a solid foundation for implementing the technology to enhance fisheries productivity and strengthen sustainable food security in Bancaran’s coastal community.
A Low-Cost Wearable System to Detect Fall and Non-Fall Activities for Elderly Individuals Syamlan, Muhammad Adib; Arifin, Ahmad; Pramudijanto , Josaphat; Arrofiqi, Fauzan; Syamlan, Muhammad Ariq; Noor, Raihan Aria Muhamad; Suhartono, Alif Syihabudin Fawwaz
Journal of Novel Engineering Science and Technology Vol. 5 No. 01 (2026): Journal of Novel Engineering Science and Technology
Publisher : The Indonesian Institute of Science and Technology Research

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56741/jnest.v5i01.1534

Abstract

As the elderly population grows, the prevalence of age-related health conditions such as cardiovascular diseases, cognitive decline, and mobility impairment is also increased. Among these health conditions, falls are considered one of the greatest threats to elderly individuals. A low-cost wearable fall detection system is designed, with the purpose of monitoring and detecting their activities. Three master modules were constructed, with each consisting of an inertial sensor, a microcontroller, and a power supply circuit block. The data were collected using IMU MPU6050 and preprocessed using the MCU ESP32. Each master module is also supplied using a 3.7V 1S LiPo battery. 18 healthy subjects, consisting of 13 males and 5 females, agreed to volunteer for the experiments. They were instructed to do 8 different activities, including non-fall (stand still, sit-to-stand, walk, and sleep position) and fall events (forward fall, sideways fall, and backward fall). Overall, the system showed a good performance using the Multilayer Perceptron (MLP) algorithm with an accuracy of 95.3% across all activities. While misclassification happens between classes, our system is still able to distinguish between non-fall vs. fall events with 100% accuracy. Cost analysis was also conducted; the overall cost for the three master modules in our proposed system is $65.4. This is cheaper than commercial fall detection systems and other related research, and our proposed system can also be used continuously. The system will alert caregivers to the immediate attention of elderly individuals.
Co-Authors ahmad arifin Mertiara Ratih Terry Laksani Noor, Raihan Aria Muhamad Pramithasari, Febi Ayu Pramudijanto , Josaphat Suhartono, Alif Syihabudin Fawwaz Syamlan, Muhammad Adib Syamlan, Muhammad Ariq