Klaim Artikel Anda
Verifikasi kepemilikan artikel akademik
Apakah artikel-artikel ini milik Anda?
Daftarkan diri Anda sebagai author untuk mengklaim artikel dan dapatkan profil akademik terverifikasi dengan fitur lengkap.
Badge Verifikasi
Profil terverifikasi resmi
Statistik Lengkap
H-index, sitasi, dan metrik
Visibilitas Tinggi
Tampil di direktori author
Kelola Publikasi
Dashboard artikel terpadu
Langkah-langkah Klaim Artikel:
- 1. Daftar akun author dengan email akademik Anda
- 2. Verifikasi email dan lengkapi profil
- 3. Login dan buka menu "Klaim Artikel"
- 4. Cari dan klaim artikel Anda
- 5. Tunggu verifikasi dari admin (1-3 hari kerja)
Menampilkan 1–5 dari 5 artikel
Memafaatkan Limbah Jeruk Bali jadi Permen Jelly yang Bernilai Jual di Desa Battu Winangun
Cindy Tri Nabilla
; Dimas Aditya
; Ridho Pinanta
; Septi Astuti
; Gitta Destalya Adrian Nova
Jurnal Pengabdian dan Kesejahteraan Masyarakat
Vol 3
, No 1
(2026)
This community service program aims to utilize Balinese orange peel waste into marketable jelly candy in Battu Winangun Village, Lubuk Raja District, Ogan Komering Ulu Regency. The implementation method included socialization, 2-day practical training, and production mentoring involving 30 participants from women's farmer groups, PKK mothers, and youth youth organizations. The results of the activity showed an increase in participants' knowledge from 15% to 92% about the economic potential of Ba...
Sumber Asli
Google Scholar
DOI
Rancang Bangun Tong Sampah Pintar dengan Penerapan Sampah Metal dan Non Metal Menggunakan IoT pada STMIK Kaputama
Dimas Aditya
; husnul khair
; Milli Alfhi Syari
Repeater : Publikasi Teknik Informatika dan Jaringan
Vol 3
, No 4
(2025)
Waste management remains a major challenge, particularly due to the lack of public awareness and habits in sorting waste from its source. Innovative technology-based solutions are needed to support more effective waste management systems. This study aims to design and develop an Internet of Things (IoT)-based smart trash bin capable of automatically sorting metal and non-metal waste. The system utilizes an ESP32 microcontroller as the main controller, an LJ12A3-4-Z/BY sensor to detect metal mate...
Sumber Asli
Google Scholar
DOI
The Use of Blockchain Technology to Promote Energy Sustainability in Cities
Nurul Muarifah
; Thoyibah Putri
; Dimas Aditya
; Nyona Liftia
Proceeding of the International Conference on Economics, Accounting, and Taxation
Vol 2
, No 1
(2025)
Inclusive and sustainable economic growth is a major challenge in today's digital age. Financial technology (FinTech) plays an important role in bridging the financial access gap while supporting environmental responsibility through the application of green finance. This study aims to analyse the role of FinTech in promoting inclusive economic growth and environmental sustainability, particularly through the application of blockchain technology in urban renewable energy systems. The research met...
Sumber Asli
Google Scholar
DOI
Pengaruh Hak Merek Terhadap Strategi Pemasaran Dan Diferensiasi Produk Di Indonesia
Andini Permatasari
; Rizka Ari Agustin
; Dimas Aditya
Doktrin: Jurnal Dunia Ilmu Hukum dan Politik
Vol 2
, No 3
(2024)
In a business, there must be characteristics of each business actor so that legal protection can be given to the works they sell. Physically, the work or product must have a differentiator from the products of other business actors in order to avoid disputes. This literature article will examine the effect of trademark rights on marketing strategies and product differentiation in Indonesia. It will certainly provide results on the level of effectiveness of the marketing strategy by maximizing th...
Sumber Asli
Google Scholar
DOI
A Comparative Analysis of Deep Learning Models for Predicting Power System Failures
Dimas Aditya
; Devina Putri
; Nanda Asyifa
International Journal of Electrical Engineering, Mathematics and Computer Science
Vol 1
, No 1
(2024)
Power systems are critical infrastructure that face significant challenges due to increasing demand and inherent complexity. Predicting failures in power systems is crucial for enhancing grid reliability, minimizing downtime, and optimizing maintenance processes. This study evaluates various deep learning models, specifically convolutional neural networks (CNN), recurrent neural networks (RNN), and transformer models, for predicting power system failures. By analyzing these models’ performance m...
Sumber Asli
Google Scholar
DOI