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All Journal Community Development Journal: Jurnal Pengabdian Masyarakat Jurnal Ilmiah Ekonomi, Manajemen dan Bisnis (EKMABIS) Journal Of Applied Multidisciplinary Studies (JAMS)
Jayaun
STIE Ganesha Jakarta
Religion Humanities Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Energy Health Professions Public Health

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PEMASARAN DAN BUDI DAYA BUNGA ANGGREK DI PAMULANG TANGERANG SELATAN Jayaun Jayaun; Suhermanto Suhermanto
Jurnal Ilmiah Ekonomi, Manajemen dan Bisnis Vol. 5 No. 2 (2024): July 2024
Publisher : Sekolah Tinggi Ilmu Ekonomi Ganesha

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.60023/12dk4m61

Abstract

The orchid cultivation and marketing industry in South Tangerang has shown significant development within the horticultural sector. This study explores the general conditions of orchid cultivation, including environmental factors conducive to plant growth and common cultivation techniques. Additionally, the study delves into aspects of orchid marketing, covering strategies employed in marketing local orchid products and addressing challenges in both local and export markets. In the context of technology, the research highlights the role of modern technology in orchid cultivation development, from growth monitoring to harvest processing systems. Key constraints in the industry are also discussed, alongside case studies of successful farmers or companies navigating challenges and leveraging opportunities in the orchid cultivation and marketing industry. The findings aim to provide valuable insights for further development in the orchid industry in South Tangerang, serving as a foundation for sustainable policies and best practices to advance the sector
Neuromorphic Computing Model Based on Spiking Neural Network for an Efficient and Resilient Tsunami Early Warning System in Indonesia’s Small Islands Jayaun Jayaun
Journal Of Applied Multidisiplinary Studies Vol 1 No 2 (2025): May 2025
Publisher : LPPM Sekolah Tinggi Ilmu Ekonomi Ganesha

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Abstract

This study aims to develop a fault-tolerant neuromorphic computing system for tsunami early detection in Indonesia’s small islands, which face significant limitations in energy and network infrastructure. The research was conducted over a three-month period (January–March 2025) using a simulated experimental approach with ocean wave data obtained from BMKG and NOAA. The system model was designed using a Spiking Neural Network (SNN) that mimics biological neuron activity to adaptively recognize ocean wave anomaly patterns. Simulation results show a detection accuracy rate of 94%, maintaining stable performance above 85% even under 25% signal interference. Furthermore, the system’s power consumption was recorded at only 0.42 watts—approximately 40–60% more efficient than conventional CNN-based models. The implications of this study include scientific contributions to the development of adaptive and energy-efficient artificial intelligence, as well as practical benefits for agencies such as BMKG and BNPB in designing autonomous and resilient tsunami early warning systems for remote and underdeveloped regions. In the future, this system has the potential to serve as a prototype for edge computing–based disaster mitigation solutions powered by artificial intelligence, particularly relevant for archipelagic nations.
FOCUS GROUP DISCUSSION (FGD) MENGUKUR KEPUASAN PENGGUNA PORTAL AKADEMIK PERGURUAN TINGGI DI TANGERANG SELATAN DENGAN METODE PIECES Sitti Aliyah Azzahra; Aep Saefullah; M. Tafsiruddin; Joned Ceilendra Saksana; Syafran Nurrahman; Tohiroh Tohiroh; Suharmanto Suharmanto; Sutaryono Sutaryono; Suhermanto Suhermanto; Jayaun Jayaun; Alifi Restu Putera; Nurhayati Nurhayati; M. Nurhidayat; Rianti Salima
Community Development Journal : Jurnal Pengabdian Masyarakat Vol. 6 No. 1 (2025): Volume 6 No. 1 Tahun 2025
Publisher : Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/cdj.v6i1.40303

Abstract

Kegiatan Pengabdian Kepada Masyarakat (PKM) ini bertujuan untuk mengevaluasi tingkat kepuasan pengguna portal akademik di perguruan tinggi di Kota Tangerang Selatan dengan menggunakan metode PIECES (Performance, Information, Economics, Control, Efficiency, dan Service). Kegiatan ini dilaksanakan pada 21 September 2024 mulai pukul 08.30 WIB hingga 15.00 WIB di Aula Meeting Restoran Taman APSG, Ciputat Timur, dengan diikuti oleh 30 peserta yang terdiri dari dosen, mahasiswa, pengelola portal akademik, dan praktisi dari empat perguruan tinggi. Metode yang digunakan adalah Diskusi Kelompok Terarah (Focus Group Discussion/FGD) dan survei kepuasan pengguna. Hasil kegiatan menunjukkan bahwa aspek performa sistem dan layanan merupakan keluhan utama yang dirasakan oleh pengguna portal akademik. Temuan ini memberikan rekomendasi strategis berupa peningkatan infrastruktur teknologi dan pelatihan bagi pengelola portal untuk memperbaiki kualitas layanan dan pengalaman pengguna. Kegiatan ini juga menggarisbawahi pentingnya evaluasi berkala menggunakan metode PIECES untuk mengidentifikasi kekurangan dan meningkatkan kepuasan pengguna dalam penggunaan portal akademik. Kesimpulan dari kegiatan ini adalah bahwa metode PIECES dapat digunakan sebagai alat evaluasi yang komprehensif untuk meningkatkan kualitas layanan portal akademik berbasis teknologi informasi. Implikasi dari kegiatan ini diharapkan mampu mendorong perguruan tinggi untuk terus berinovasi dalam pengelolaan sistem akademik yang efisien dan efektif.
Co-Authors Aep Saefullah Alifi Restu Putera Joned Ceilendra Saksana M. Nurhidayat M. Tafsiruddin Nurhayati Nurhayati Rianti Salima Sitti Aliyah Azzahra Suharmanto . Suhermanto Suhermanto Sutaryono Sutaryono Syafran Nurrahman Tohiroh Tohiroh