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All Journal Jurdimas (Jurnal Pengabdian Kepada Masyarakat) Royal Jurnal Nasional Teknik Elektro dan Teknologi Informasi Jurnal Indonesia Mengabdi
Tiara Kurnia Khoerunnisa
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Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Energy Engineering Environmental Science Law, Crime, Criminology & Criminal Justice Materials Science & Nanotechnology Social Sciences Other

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Peningkatan Daya Saing UMKM Binaan Polinela melalui Pemanfaatan Teknologi Artificial Intelligence (AI) Amaliah, Khusnatul; Eko Win Kenali; Dani Rofianto; Tiara Kurnia Khoerunnisa; Jaka Fitra; Halim Fathoni; Fitri, Melisa
Jurnal Indonesia Mengabdi Vol. 6 No. 2 (2024): December Edition
Publisher : Lembaga Penelitian dan Pengabdian kepada Masyarakat (LPPM) STKIP Nurul Huda

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30599/jimi.v6i2.3857

Abstract

Pendampingan penggunaan teknologi Artificial Intelligence (AI) dan digitalisasi bagi Usaha Mikro, Kecil, dan Menengah (UMKM) di Indonesia menjadi sangat penting dalam meningkatkan daya saing dan keberlanjutan bisnis. Pengabdian ini bertujuan untuk menganalisis dampak pendampingan yang diberikan kepada UMKM, khususnya dalam konteks peningkatan kualitas produk, pemasaran, dan pemahaman teknologi. Pemanfaatan Teknologi Artificial Intelligence ini fokus pada pemanfaatan teknologi AI dalam pembuatan konten promosi yang efektif. Pengabdian ini dilakukan dengan pendekatan metode Participatory Action Research dimana pengabdian berorientasi pada pada pemberdayaan dalam menyelesaikan permasalahan mitra. Hasil kegiatan menunjukkan bahwa pendampingan ini berhasil meningkatkan kualitas kemasan produk, visibilitas di pasar, dan pemahaman teknologi di kalangan mitra UMKM. Temuan ini menegaskan bahwa digitalisasi dan penggunaan AI tidak hanya membantu UMKM dalam menghadapi tantangan pasar, tetapi juga mendorong inovasi dan pertumbuhan yang berkelanjutan.
Penguatan Ekonomi KWT Srikandi Melalui Optimalisasi Digital Marketing Dan Diversifikasi Produk Olahan Cabai di Pringsewu Amaliah, Khusnatul; Dani Rofianto; Tiara Kurnia Khoerunnisa; Fitri, Melisa; Armelsya, Kafka; Sekarsari, Ni Wayan Sevilla
Jurdimas (Jurnal Pengabdian Kepada Masyarakat) Royal Vol. 9 No. 1 (2026): Januari 2026
Publisher : STMIK Royal

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33330/jurdimas.v9i1.4228

Abstract

Abstract: This community service activity aims to strengthen the economy of the Srikandi Women Farmers Group (KWT) in Pekon Srikaton, Adiluwih District, Pringsewu Regency, through the implementation of digital marketing and diversification of processed chili products. The main problems of KWT include limited skills in chili processing and low utilization of digital technology for marketing. The method used is Participatory Action Research (PAR), with stages of socialization, chili processing training, digital marketing training, mentoring, and evaluation. The training activities increased the skills of KWT members in processing chili peppers into various products such as chili flakes, chili powder, and chili oil, as well as improving their ability to utilize social media for promotion. The results of the evaluation showed a significant increase in technical skills, entrepreneurial interest, and motivation of members to develop a business based on chili derivative products. This activity has proven to be effective in encouraging the economic independence of women through the use of technology and product innovation. Keywords: chili; digital marketing; product diversification Abstrak: Kegiatan pengabdian kepada masyarakat ini bertujuan untuk memperkuat ekonomi Kelompok Wanita Tani (KWT) Srikandi di Pekon Srikaton, Kecamatan Adiluwih, Kabupaten Pringsewu, melalui penerapan digital marketing dan diversifikasi produk olahan cabai. Permasalahan utama mitra meliputi keterbatasan keterampilan dalam pengolahan cabai serta rendahnya pemanfaatan teknologi digital untuk pemasaran. Metode yang digunakan adalah Participatory Action Research (PAR), dengan tahapan sosialisasi, pelatihan pengolahan turunan cabai, pelatihan digital marketing, pendampingan, serta evaluasi. Kegiatan pelatihan menghasilkan peningkatan keterampilan anggota KWT dalam mengolah cabai menjadi berbagai produk seperti bon cabai, cabai bubuk, dan chili oil, serta meningkatkan kemampuan dalam memanfaatkan media sosial untuk promosi. Hasil evaluasi menunjukkan adanya peningkatan signifikan dalam kemampuan teknis sebesar 60%, minat berwirausaha, dan motivasi anggota untuk mengembangkan usaha berbasis produk turunan cabai sebesar 20%. Kegiatan ini terbukti efektif dalam mendorong kemandirian ekonomi perempuan melalui pemanfaatan teknologi dan inovasi produk. Kata kunci: cabai; digital marketing; diversifikasi produk
Sistem Irigasi dan Pemupukan Cerdas Berbasis IoT dengan Integrasi Cloud Database Dani Rofianto; Eko Win Kenali; Khusnatul Amaliah; Jaka Fitra; Halim Fathoni; Tiara Kurnia Khoerunnisa; Hevia Purnama Sari
Jurnal Nasional Teknik Elektro dan Teknologi Informasi Vol 15 No 1: Februari 2026
Publisher : This journal is published by the Department of Electrical and Information Engineering, Faculty of Engineering, Universitas Gadjah Mada.

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/jnteti.v15i1.23124

Abstract

Internet of Things (IoT)-based smart agriculture provides an innovative solution to enhance the efficiency and sustainability of agricultural production amid challenges such as water scarcity, inefficient fertilization, and climate variability. This study developed an IoT-based smart irrigation and fertilization management system integrated with the Firebase Realtime Database for real-time monitoring and control. The system combined soil moisture, air humidity, and temperature sensors with an ESP32 microcontroller, enabling automatic and manual decision-making based on environmental conditions. Users could interact with the system via a responsive web dashboard that provided both data visualization and manual control. System testing conducted in a greenhouse environment demonstrated stable and accurate data acquisition, with average readings of 27.91°C for temperature, 74.75% RH for air humidity, and 71.31% for soil moisture, within ±2.3% of analogue measurements. The relay actuation response time was less than 1 s, while Firebase synchronization achieved over 98% reliability during continuous operation. Additionally, the system achieved 20% water savings compared to manual irrigation methods and successfully controlled fertilizer distribution and exhaust ventilation to stabilize humidity. These results confirm that the proposed system supports real-time, precise, and energy-efficient control, suitable for small to medium-scale agricultural applications, especially in areas with unstable internet connectivity. This research establishes a strong foundation for future integration with AI-based systems, such as fuzzy logic and machine learning, to enable fully autonomous, adaptive precision agriculture.
Co-Authors Amaliah, Khusnatul Armelsya, Kafka Dani Rofianto Eko Win Kenali Fitra, Jaka Fitri, Melisa Halim Fathoni Hevia Purnama Sari Sekarsari, Ni Wayan Sevilla