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Pemberdayaan UMKM Sekitar Kampus Universitas Asahan Melalui Digitalisasi Bisnis dan Pelatihan Literasi Digital: Penelitian Nayla Zahra Fitri Lbs; Dhea Annisa Syafira Mrp; Fanisha Silva Zulham; Putri Juwita
Jurnal Pengabdian Masyarakat dan Riset Pendidikan Vol. 5 No. 1 (2026): Jurnal Pengabdian Masyarakat dan Riset Pendidikan Volume 5 Nomor 1 (Juli 2026 -
Publisher : Lembaga Penelitian dan Pengabdian Masyarakat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/jerkin.v5i1.6992

Abstract

Usaha Mikro, Kecil, dan Menengah (UMKM) memiliki peran penting dalam mendukung perekonomian Indonesia. Namun, masih banyak UMKM di sekitar Universitas Asahan yang belum memanfaatkan teknologi digital secara optimal dalam menjalankan usahanya. Sebagian besar pelaku usaha masih menggunakan metode pemasaran konvensional dan belum memanfaatkan media sosial, katalog digital, maupun marketplace sebagai sarana promosi dan penjualan produk. Kegiatan pengabdian masyarakat ini bertujuan untuk meningkatkan kemampuan digital pelaku UMKM melalui pelatihan literasi digital dan pendampingan digitalisasi bisnis. Metode yang digunakan meliputi observasi, pelatihan, pendampingan, dan evaluasi. Hasil kegiatan menunjukkan adanya peningkatan pemahaman peserta mengenai pemasaran digital, pengelolaan media sosial, serta penggunaan marketplace. Beberapa UMKM berhasil membuat akun bisnis digital dan katalog produk yang dapat digunakan untuk memperluas jangkauan pasar. Program ini diharapkan dapat meningkatkan daya saing UMKM sekaligus mendorong transformasi digital yang berkelanjutan.
Implementation Of LDR Sensor And Arduino Uno In Energy Consumption Based Lighting Automation System Putri Juwita; Dhea Annisa Syafira Mrp; Aji Febriansani
JURNAL TEKNISI Vol. 6 No. 1 (2026): February 2026
Publisher : Smart Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54314/mc8xj313

Abstract

Abstract: An automatic lighting system based on Arduino Uno is an automation system designed to improve energy efficiency and convenience in daily life. This system utilizes an Arduino Uno as the main controller and a Light Dependent Resistor (LDR) as a light intensity sensor. The LDR detects environmental light conditions and sends analog data to the Arduino for processing. Based on programmed logic, the system automatically turns the LED on when the environment is dark and turns it off when the environment is bright. The research method includes hardware design, programming using Arduino IDE, and system testing under different lighting conditions. The test results indicate that the system operates effectively and responds quickly to changes in light intensity. This system demonstrates the practical implementation of microcontroller-based automation technology in energy-saving applications. Keyword: arduino uno, light dependent resistor (ldr), automatic lamp, microcontroller   Abstrak: Sistem lampu otomatis berbasis Arduino Uno merupakan sistem otomasi yang dirancang untuk meningkatkan efisiensi energi dan kenyamanan dalam penggunaan penerangan sehari-hari. Sistem ini memanfaatkan Arduino Uno sebagai pengendali utama dan sensor cahaya Light Dependent Resistor (LDR) sebagai pendeteksi intensitas cahaya lingkungan. Sensor LDR mengirimkan data analog ke Arduino untuk diproses berdasarkan logika program yang telah dibuat. Lampu (LED) akan menyala secara otomatis saat kondisi gelap dan mati saat kondisi terang. Metode penelitian meliputi perancangan perangkat keras, pemrograman menggunakan Arduino IDE, serta pengujian sistem pada berbagai kondisi cahaya. Hasil pengujian menunjukkan bahwa sistem bekerja dengan baik dan mampu merespons perubahan cahaya secara cepat dan stabil. Sistem ini membuktikan bahwa teknologi mikrokontroler dapat diterapkan sebagai solusi hemat energi dalam kehidupan sehari-hari. Kata kunci: arduino uno, sensor ldr, lampu otomatis, mikrokontroler
SISTEM ABSENSI PEGAWAI BERBASIS WEB MENGGUNAKAN VERIFIKASI MULTI-FAKTOR GEOFENCING HAVERSINE, QR CODE, DAN SELFIE PADA KANTOR DESA TELUK DALAM Rizky Riansyah Panjaitan; Sayyid Tsaqif Al Ulwan Silalahi; Intan Nabila Sari; Dhea Annisa Syafira Mrp; Andadari Puspita Ningrum; Azrai Sirait
JOURNAL OF SCIENCE AND SOCIAL RESEARCH Vol. 9 No. 4 (2026): August 2026 (1)
Publisher : Smart Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54314/jssr.v9i4.7098

Abstract

Manual attendance recording at village government offices still leaves several problems, including susceptibility to buddy punching, failure to record the employee's position during check-in, and slow recapitulation. Location-based attendance systems examined in previous studies generally rely on only one or two forms of verification, so the validity of their data remains limited. This study aims to design and build a web-based employee attendance system at the Teluk Dalam Village Office that applies multi-factor verification, comprising the scanning of a secret-token QR code, area restriction (geofencing) through distance calculation using the Haversine formula, identity verification using a PIN, selfie photo capture, and automatic early detection of fraud attempts based on device fingerprint and check-in time proximity. The system was developed using the Waterfall model with framework-less PHP and a MySQL database so that it runs lightly on shared hosting. Testing of the Haversine formula shows that the system is able to consistently distinguish check-ins located inside and outside the office radius, while black-box testing shows that all functions run as designed. By combining five verification layers in a single integrated system within a village government environment, this study not only shifts attendance recording to a digital form but also strengthens data validity and reduces the possibility of attendance manipulation.