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DARI TRADISIONAL KE DIGITAL: TRANSFORMASI DAYA SAING UMKM KERIPIK SALE PISANG MELALUI INOVASI KEMASAN DAN E-COMMERCE Verdini, Liana; Kalsum, Nurbani; Khoerunnisa, Tiara Kurnia; Ananta, Elsa; Azzahra, Shiva Tasya
JMM (Jurnal Masyarakat Mandiri) Vol 10, No 2 (2026): April
Publisher : Universitas Muhammadiyah Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31764/jmm.v10i2.38028

Abstract

Abstrak: UMKM Keripik Sale Pisang “Bahrul” di Desa Sripendowo menghadapi kendala rendahnya daya saing akibat penggunaan kemasan tradisional dan sistem pemasaran konvensional yang terbatas. Pengabdian ini bertujuan untuk meningkatkan nilai jual dan jangkauan pasar mitra melalui inovasi teknologi pengemasan dan digitalisasi pemasaran. Metode yang digunakan adalah pendampingan teknis berbasis proyek (problem-based project) yang melibatkan 10 personel mitra UMKM. Sistem evaluasi kegiatan dilakukan secara komprehensif melalui instrumen pre-test dan post-test untuk mengukur peningkatan literasi digital mitra, serta metode observasi langsung terhadap data penjualan pasca-intervensi. Hasil kegiatan menunjukkan peningkatan signifikan pada literasi digital mitra (pengetahuan meningkat dari 38% menjadi 85% dan keterampilan meningkat dari 35% menjadi 83%). Secara ekonomi, jangkauan pasar meluas hingga lintas provinsi dan memberikan tambahan keuntungan bersih rata-rata sebesar Rp306.241 per bulan.Abstract: The “Bahrul” Banana Sale Chips SME in Sripendowo Village faces low competitiveness due to traditional packaging and limited conventional marketing. This community service aims to increase the partner's selling value and market reach through packaging technology innovation and marketing digitalization. The method used was project-based technical assistance involving 10 SME partners. The activity evaluation system was conducted comprehensively through pre-test and post-test instruments to measure the increase in partners' digital literacy, as well as direct observation of post-intervention sales data. The results showed a significant increase in the partner's digital literacy (knowledge increased from 38% to 85% and skills increased from 35% to 83%). Economically, market reach expanded across provinces and provided an average additional net profit of IDR 306,241 per month.
Sistem Irigasi dan Pemupukan Cerdas Berbasis IoT dengan Integrasi Cloud Database Eko Win Kenali; Dani Rofianto; 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 Ananta, Elsa Armelsya, Kafka Aryani, Vina Dinata Kamila Azzahra, Shiva Tasya Chandra Utami Wirawati Dani Rofianto Dwi Eva Nirmagustina Eko Win Kenali Fitra, Jaka Fitri, Melisa Fitriani Halim Fathoni Handayani, Sri Hasibuan, Betti Hertini Rani Hevia Purnama sari Jannah, Upy Raudotul Liana Verdini Liana, Verdini Mahesya, Siti Roma Nurbani Kalsum Oktaf Rina Pratama, Desta Ayu Safitri, Bella Intan Ayu Samosir, Joni Frengki Sekarsari, Ni Wayan Sevilla Shabrina, Astri Soeherman, Giffary Primafisi Surfiana Surfiana Tanto Pratondo Utomo Verdini, Liana WINARTO Wirawati, Chandra Utamai zukryandry, zukryandry