Article Per Year (5 Year)
p-Index From 2020 - 2025
0.61
P-Index
This Author published in this journals
All Journal Jurnal Pengabdian Masyarakat Media Elektrik
Shridivia Nuran, Andi
Unknown Affiliation
Humanities Computer Science & IT Control & Systems Engineering Education Electrical & Electronics Engineering Engineering Social Sciences

Published : 3 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 3 Documents
Search

 1 
PKM Menumbuhkan Semangat Kewirausahaan di Kalangan Generasi Z melalui Digitalisasi di Jurusan Pendidikan Teknik Elektro Fauziah Misbahuddin, Azizah; Hamidah Hamris; Shridivia Nuran, Andi
Jurnal Pengabdian Masyarakat Vol. 2 No. 2 (2024): Jurnal Pengabdian Masyarakat (AbdiMas)
Publisher : Jurusan Pendidikan Teknik Elektro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59562/abdimas.v2i2.5850

Abstract

Perkembangan teknologi digital yang pesat telah membuka peluang besar bagi generasi muda, khususnya Generasi Z, untuk berperan sebagai entrepreneur inovatif. Generasi Z, yang lahir dan dibesarkan di tengah kemajuan teknologi, memiliki potensi besar dalam menciptakan bisnis berbasis digital. Namun, untuk mengoptimalkan potensi tersebut, mereka perlu memahami peluang yang ada, tantangan yang dihadapi, dan strategi yang tepat dalam berwirausaha. PKM ini bertujuan untuk menggali lebih dalam tentang karakteristik generasi Z yang mendukung kewirausahaan, mengeksplorasi peluang bisnis di era digital, serta memberikan rekomendasi strategis yang dapat membantu generasi ini mengatasi tantangan dan memanfaatkan peluang untuk sukses sebagai entrepreneur. Melalui pemahaman yang baik tentang kewirausahaan digital, generasi Z dapat menciptakan bisnis yang tidak hanya inovatif, tetapi juga berkelanjutan dan berdampak positif bagi masyarakat.
GRADIENT BOOSTING APPROACH FOR MULTI-LABEL APPLIANCE STATE CLASSIFICATION IN NILM USING PUBLIC LOW-FREQUENCY ENERGY DATA Shridivia Nuran, Andi; Zelia Sari, Selvy
Jurnal Media Elektrik Vol. 22 No. 3 (2025): MEDIA ELEKTRIK
Publisher : Jurusan Pendidikan Teknik Elektro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59562/metrik.v22i3.9169

Abstract

Accurate monitoring of appliance-level energy consumption plays a pivotal role in advancing smart grid operations and residential energy usage optimization. Non-Intrusive Load Monitoring (NILM) offers a non-invasive means to infer individual device usage from aggregated household electricity measurements, eliminating the need for dedicated sensors on each appliance. This study implements Gradient Boosting, specifically LightGBM, for multi-label appliance classification within NILM systems utilizing the public ECO dataset from a selected residential unit. Five essential household appliances: TV, lamp, kettle, fridge, and freezer were chosen, with three months of data used for training and one month for testing to ensure temporal consistency and generalization. Feature extraction was performed on 60-second windows of aggregated smart meter data, capturing statistical characteristics to enhance model learning. The proposed method demonstrated robust accuracy in appliance classification, with results of 93.66% for the fridge, 92.63% for the freezer, 99.60% for the kettle, 99.37% for the lamp, and 96.21% for the TV, demonstrating the effectiveness of Gradient Boosting for multi-label appliance detection within NILM systems using real-world data. This implementation contributes to the development of scalable, accurate NILM frameworks suitable for integration within smart grid and energy management applications.
Pemanfaatan Teknologi dalam Pembelajaran melalui Pelatihan Penggunaan Aplikasi Pembelajaran melalui Canva untuk Siswa Makmur, Elfira; Sa’ban Miru, Alimuddin; Wahyudi, Wahyudi; Shridivia Nuran, Andi; swal Burhan, Muh
Jurnal Pengabdian Masyarakat Vol. 3 No. 2 (2025): Jurnal Pengabdian Masyarakat (AbdiMas)
Publisher : Jurusan Pendidikan Teknik Elektro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59562/abdimas.v3i2.10599

Abstract

This Community Service Program (PKM) aims to enhance students’ abilities in utilizing educational technology through training on the use of the Canva application. The program was conducted at SMP Negeri 51 Makassar, located in Tamangapa District, Makassar City. Preliminary observations indicated that most students were not yet familiar with using digital design applications as learning media, particularly in the Information and Communication Technology (ICT) subject. The implementation method consisted of five stages: planning, socialization, training, mentoring, and evaluation. The activity involved 30 students who were trained to create posters, infographics, and learning presentations using Canva. The results showed significant improvement in students’ digital skills, with 90% of participants successfully producing their own learning media designs. In addition, teachers gained new insights into the use of design-based educational technology. This PKM activity had a positive impact on improving students’ digital literacy, creativity, and learning motivation, while also strengthening collaboration between Universitas Negeri Makassar and SMP Negeri 51 Makassar in promoting technology-based learning in the digital era.
Co-Authors Fauziah Misbahuddin, Azizah Hamidah Hamris Makmur, Elfira Sa’ban Miru, Alimuddin swal Burhan, Muh Wahyudi Wahyudi Zelia Sari, Selvy