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PEMANFAATAN SAAS UNTUK STRATEGI PEMASARAN DIGITAL PADA UMKM: STUDI KASUS CV GEMILANG KENCANA Adiana, Beta Estri; Mareta, Affix
Journal of Information System, Applied, Management, Accounting and Research Vol 9 No 3 (2025): JISAMAR (Journal of Information System, Applied, Management, Accounting and Resea
Publisher : Sekolah Tinggi Manajemen Informatika dan Komputer Jayakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52362/jisamar.v9i3.1942

Abstract

This research aims to analyze the utilization of Canva as a Software as a Service (SaaS) platform in supporting digital marketing strategies for Micro, Small, and Medium Enterprises (MSMEs). A case study was conducted on CV Gemilang Kencana, a traditional food-processing MSME based in Wonosobo Regency. The research employed a qualitative descriptive method using data collection techniques such as direct observation of Instagram content, semi-structured interviews with the business owner, and documentation of visual promotional materials. The findings reveal that Canva accelerates the content design process, maintains brand visual consistency, and enhances audience engagement. One post designed using Canva reached up to 1,562 accounts and gained 1,900 impressions, with more than 60% coming from non-followers. Moreover, visual strategies such as customer testimonials and local tourism narratives effectively foster emotional connections with consumers. However, limitations such as restricted features in the free version and low design literacy remain challenges. Overall, Canva proves to be a strategic tool for efficient and effective digital branding among MSMEs.
Digital literacy training for female employees at CV Gemilang Kencana Adiana, Beta Estri; Mareta, Affix; Fathony, Ikhwan Alfath Nurul; Wardhani, Olivia
Community Empowerment Vol 10 No 6 (2025)
Publisher : Universitas Muhammadiyah Magelang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31603/ce.13520

Abstract

CV Gemilang Kencana, a Micro, Small, and Medium-sized Enterprise (MSME) in the food and beverage processing sector in Wonosobo Regency, faces challenges in leveraging digital technology due to low digital literacy among its employees, particularly women. This community service initiative aimed to enhance the digital literacy skills of female employees through training that covered basic technology introduction, productivity application usage, and the utilization of social media for product marketing. The implementation method involved preparation, training delivery, and evaluation stages. The training results demonstrated a significant improvement in participants' digital understanding and skills, with the average pre-test score of 46.5% increasing to 81% post-training. Active participants were able to independently utilize social media for product marketing and contributed to improved operational efficiency and MSME competitiveness. This training proved effective in empowering women and supporting digital transformation within the MSME sector, while also enhancing participants' capabilities in navigating the increasingly digitalized era.
Fuzzy Logic-Based Aquaculture Climate Control System Design On A Fishpond Wicaksono, Damar; Mareta, Affix; Adiana, Beta Estri; Salim, D Jayus Nor
JURNAL INFOTEL Vol 17 No 2 (2025): May
Publisher : LPPM INSTITUT TEKNOLOGI TELKOM PURWOKERTO

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20895/infotel.v17i2.1152

Abstract

One important key to determining water quality as a habitat for live fish is the climate of the water. A good water climate in aquaculture is needed by aquatic animals to survive, such as fish and other aquatic organisms. To maintain it, it can be controlled by the aeration rate and monitoring the amount of water by microcontroller. Monitoring water quality and maintaining the amount of water activity at a certain volume is necessary by farmers to get good harvests. Fish Farmers typically rely on irrigation and rain, which cause the aquatic climate to change. Therefore, this research proposed to design a system to maintain the water climate and amount of water so that they remain in accordance with the levels required by fish. In general, a water climate control system using Mamdani fuzzy logic control has been implemented, which is used to manipulate output equipment in the form of aeration speed based on water climate parameters as the input. This system will also automatically control to drain or refill water if needed by water pump. This system consists of materials, components, and sensors to get the data. A pond-type aquarium is used as a simple test. As a method to make this happen, fuzzy logic is used based on the available input and categorizes it into several criteria, then provides knowledge-based principles, inference mechanisms, and the defuzzification phase. The test results showed success in controlling the water climate quality and the maintain amount of water, with success rate at 88,89% and 91,67%. This shows that the proposed system has worked effectively to control climate water quality and maintain the amount of available water.
Optimisasi Whisper Speech-to-Text Bahasa Indonesia dengan Hybrid Cloud dan Multi-Engine Ikhwan Alfath Nurul Fathony; Affix Mareta; Beta Estri Adiana; Olivia Wardhani; Dimas Ardiansyah Halim
Elkom: Jurnal Elektronika dan Komputer Vol. 18 No. 1 (2025): Juli : Jurnal Elektronika dan Komputer
Publisher : STEKOM PRESS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51903/5n2d3s08

Abstract

Automatic Speech Recognition (ASR) for the Indonesian language faces significant challenges due to high Word Error Rate (WER), especially when using pre-trained models without fine-tuning. This study develops an optimized ASR system using a hybrid cloud architecture that integrates the Faster-Whisper large-v3 engine with advanced audio preprocessing techniques. The system adopts a distributed architecture, with Google Colab (Tesla T4, 15GB VRAM) as the GPU server and Ubuntu 22.04 LTS (8 core, 32GB RAM) as the client. Evaluation was conducted on five Indonesian audio samples covering formal news, informal conversations, and long-duration recordings. The system achieved an 80% success rate in processing, with WER ranging from 27.69% (formal news) to 645.16% (informal conversations). Resource utilization was also efficient, with 21.3% GPU usage and 35.4% RAM usage. Processing time remained stable for normal-sized files but experienced timeouts on large files (>50MB). The results indicate that hybrid cloud architecture is feasible for distributed ASR processing in Indonesian, with several areas still open for optimization toward production deployment.
Pemanfaatan Teknologi pada Industri Kecantikan dengan Rancang Bangun Website Analisis Jerawat Berdasarkan Kanal Warna HSV Mareta, Affix
RIGGS: Journal of Artificial Intelligence and Digital Business Vol. 4 No. 2 (2025): Mei - Juli
Publisher : Prodi Bisnis Digital Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/riggs.v4i2.1778

Abstract

Jerawat merupakan masalah kulit wajah yang umum dan berdampak signifikan terhadap kepercayaan diri seseorang. Penelitian ini bertujuan mengembangkan prototype sistem berbasis website untuk mendeteksi jerawat secara otomatis menggunakan segmentasi warna HSV dan algoritma Haar Cascade. Sistem dirancang dengan pendekatan Design and Development Research (DDR) dan dikembangkan dengan model Waterfall. Proses dimulai dari akuisisi citra wajah, dilanjutkan dengan deteksi wajah menggunakan Haar Cascade, dan segmentasi jerawat melalui pemetaan warna HSV. Website dibangun menggunakan framework Flask dan diujikan menggunakan metode black box untuk mengukur fungsionalitas. Hasil pengujian menunjukkan bahwa seluruh fungsi utama sistem berjalan sesuai dengan rancangan, seperti pengambilan gambar, deteksi wajah, serta tampilan hasil segmentasi. Sistem ini menunjukkan potensi untuk diimplementasikan lebih lanjut dalam industri kecantikan sebagai alat bantu skrining kondisi kulit wajah berbasis citra digital.
Strategi Penguatan Kelembagaan dalam Implementasi Zero Waste TPS 3R di Kawasan Desa Bandongan Ramdani, Deni; Simamora, Alex Johanes; Mareta, Affix; Yudhanto, Wildan
INCOME: Indonesian Journal of Community Service and Engagement Vol 4 No 3 (2025)
Publisher : EDUPEDIA Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56855/income.v4i3.1439

Abstract

Pengelolaan sampah yang tidak optimal di kawasan pedesaan masih menjadi tantangan serius. Desa Bandongan sebagai salah satu wilayah yang mulai mengadopsi konsep Zero Waste menghadapi berbagai kendala, khususnya dalam penguatan kelembagaan Tempat Pengolahan Sampah Reduce, Reuse, Recycle (TPS 3R). Lemahnya kapasitas kelembagaan, serta belum optimalnya sistem pengelolaan sampah menjadi isu utama yang perlu diatasi. Program pengabdian kepada masyarakat ini bertujuan untuk memperkuat kelembagaan TPS 3R melalui pendekatan peningkatan kapasitas manajemen, pelibatan komunitas lokal, serta penerapan strategi keberlanjutan berbasis ekonomi sirkular. Pelaksanaannya meliputi pelatihan manajemen kelembagaan TPS 3R, pendampingan dalam penyusunan regulasi lokal terkait pengelolaan sampah, serta optimalisasi sistem pengolahan sampah dengan teknologi sederhana. Selain itu, program ini juga mendorong keterlibatan masyarakat dalam skema ekonomi sirkular, khususnya dalam pengelolaan sampah organik dan anorganik yang memiliki nilai ekonomi. Hasil kegiatan menunjukkan adanya peningkatan kapasitas kelembagaan, terbentuknya regulasi lokal pendukung, serta tumbuhnya kesadaran masyarakat terhadap pengelolaan sampah berkelanjutan di tingkat desa.