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The Effect of Resilience and Digital Capabilities on Students’ Adaptability to Change Moderated by Organizational Learning Hartanti, Jahju; Winarno, Adi; Prayogo, Prayogo; Charamba, Erasmos
Jurnal Pendidikan Progresif Vol 14, No 3 (2024): Jurnal Pendidikan Progresif
Publisher : FKIP Universitas Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Exploring Moderating Role of Organizational Learning in Enhancing Adaptability to Change Through Resilience and Digital Capabilities. Objective: To determine the effect of final year student resilience and digital capabilities on adaptability to change for technology advancement which is moderated by organizational learning. Method: This research was done using a quantitative approach with a survey method. The study population were final-year students from various faculties at a public university, the sample tehnique was random sampling and the number of selected samples was 300 respondents. Questionnaires were used to collect data from research participants. The data were analyzed using moderate regression analysis (MRA) using SPSS. Findings: Resilience has a positive and significant effect on adaptability to change, digital capabilities have a positive and significant effect on adaptability to change. Organizational learning moderates the influence of resilience on adaptability to change. Furthermore, the organizational learning also moderates the effect of digital capabilities on adaptability to change. Conclusion: These findings imply that HEI prioritize programs that bolster students' resilience and digital skills to improve adaptability to change. Organizational learning should be recognized as a key factor that strengthens the impact of resilience and digital skills on adaptability Keywords: adaptability to change, digital capability, higher education institution, organizational learning, resilience.DOI: http://dx.doi.org/10.23960/jpp.v14.i3.2024108
Pemanfaatan Media Alternatif untuk Ketahanan Pangan : Budidaya Ikan Lele dan Tanaman Kangkung Melalui Metode Aquaponik: Pengabdian Adi Winarno; Salsabilah Almanda Putri; Silvia Nuril Azizah; Ainur Rahmatul Jannah; Aminatus Khusniyah; Nathania Putri; Halimahtus Sa’diyah; Ellyna Citra Mufidah
Jurnal Pengabdian Masyarakat dan Riset Pendidikan Vol. 4 No. 3 (2026): Jurnal Pengabdian Masyarakat dan Riset Pendidikan Volume 4 Nomor 3 (Januari 202
Publisher : Lembaga Penelitian dan Pengabdian Masyarakat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/jerkin.v4i3.2665

Abstract

Program Pengabdian Masyarakat melalui Kuliah Kerja Nyata (KKN) ini bertujuan untuk mengimplementasikan dan menganalisis keberhasilan teknologi Budikdamber (Budidaya Ikan dalam Ember) berbasis aquaponik sebagai solusi ketahanan pangan dan pemberdayaan ekonomi di Desa Pagerngumbuk, Sidoarjo. Menggunakan metode penelitian tindakan partisipatif (participatory action research), kegiatan ini melibatkan 25 partisipan yang terdiri dari perangkat desa dan kader PKK melalui tahapan sosialisasi, pelatihan perakitan sistem, hingga pendampingan implementasi. Hasil pengabdian menunjukkan antusiasme masyarakat yang tinggi dan keberhasilan teknis budidaya, di mana ikan lele (Clarias gariepinus) dapat dipanen dalam kurun waktu 2-3 bulan serta tanaman kangkung (Ipomoea aquatica) dalam 3-4 minggu. Program ini terbukti efektif dalam mengoptimalisasi pemanfaatan lahan pekarangan yang sebelumnya kurang produktif, menyediakan sumber nutrisi mandiri untuk menekan angka stunting, serta membuka peluang ekonomi baru bagi ibu rumah tangga. Meskipun menunjukkan hasil positif, diperlukan pendampingan yang lebih berkelanjutan untuk memastikan kemandirian masyarakat dalam jangka panjang.
The Importance of Introducing Local Culture to Develop the Character of Early Childhood Anggreni, Made Ayu; Hartanti, Jahju; Winarno, Adi
Journal of Pedagogi Vol. 2 No. 6 (2025): Journal of Pedagogi-December
Publisher : PT. Anagata Sembagi Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62872/3f49b167

Abstract

The introduction of local culture in Early Childhood Education (ECE) is regarded as a strategic approach to fostering character development from an early age. This article outlines both theoretical foundations and recent empirical evidence regarding the role of local cultural elements such as indigenous values, regional languages, folktales, rituals, and community practices in shaping children’s core character traits, including religiosity, honesty, responsibility, discipline, empathy, cooperation, and patriotism. Through a narrative literature review and thematic synthesis of more than 40 scholarly sources, this study develops the “4L-CARE” conceptual model (Language, Lore, Local Practices, Landscape → Character, Agency, Relatedness, Empathy) that explains the linkage between local cultural experiences and character competencies in children aged 4–6 years. Furthermore, the article proposes practical strategies for implementing the Merdeka Curriculum within culturally contextual PAUD settings, including storytelling-based (masatua/folklore) activities, character assessment rubrics, and models of collaboration among teachers, parents, and local communities. The findings emphasize that authentic, repetitive, and meaningful integration of local culture supported by a safe and inclusive local language environment enhances the internalization of character values through play, storytelling, and community-based projects.
Fashion Cerdas: AI dan Masa Depan Industri Mode Yunia Dwie Nurcahyanie; Adi Winarno; Agus Ridwan Misbahuddin
bit-Tech Vol. 7 No. 3 (2025): bit-Tech
Publisher : Komunitas Dosen Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32877/bt.v7i3.2242

Abstract

Industri fashion mengalami transformasi fundamental dengan integrasi kecerdasan buatan (AI) dalam berbagai aspek, mulai dari desain, produksi, hingga pemasaran. AI telah merevolusi cara industri ini beroperasi dengan memungkinkan personalisasi tren, prediksi permintaan pasar, serta optimalisasi rantai pasok secara lebih efisien dan akurat. Teknologi berbasis machine learning, computer vision, dan natural language processing berperan dalam menganalisis data konsumen, mengembangkan desain otomatis, serta meningkatkan pengalaman pelanggan melalui sistem rekomendasi berbasis AI. Selain itu, AI berkontribusi dalam pengurangan limbah produksi melalui optimalisasi penggunaan bahan baku dan prediksi tren mode yang lebih presisi, sehingga meningkatkan aspek keberlanjutan industri fashion. Penelitian ini meninjau penerapan AI dalam industri fashion dengan fokus pada berbagai teknologi inovatif yang digunakan dalam pengembangan desain fashion, e-commerce, serta manajemen rantai pasok. Studi ini juga mengidentifikasi tantangan utama dalam implementasi AI, termasuk biaya investasi tinggi, ketergantungan pada data berkualitas, serta isu etika terkait bias algoritma dan dampak terhadap tenaga kerja manusia. Meskipun menghadapi tantangan tersebut, penerapan AI menawarkan peluang besar untuk meningkatkan efisiensi operasional, mempercepat inovasi desain, dan memperkuat daya saing industri fashion di tingkat global. Dengan berkembangnya teknologi AI, industri fashion diharapkan dapat lebih adaptif, inovatif, dan berkelanjutan dalam menghadapi dinamika pasar global. Hasil penelitian ini dapat memberikan wawasan bagi akademisi dan praktisi industri fashion dalam memahami potensi serta implikasi jangka panjang dari adopsi AI, sekaligus mendorong penelitian lebih lanjut mengenai integrasi teknologi ini dalam berbagai aspek industri fashion.
Design of an Internet of Things (IoT) based Main Reservoir Water Level Measuring Device at Siti Hajar Hospital Sidoarjo Adi Winarno; Rochman, Sagita; Nanda, Bagus
BEST Vol 8 No 1 (2026): BEST
Publisher : Universitas PGRI Adi Buana Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36456/zckxkc65

Abstract

The volume of water levels in hospital water reservoirs really requires full monitoring. Where water reservoirs often run out when the water is to be used. This is very fatal and hinders activities that must be carried out immediately. If this happens, it will result in the failure of ongoing activities at the hospital. This research aims to design a prototype that is capable of monitoring water levels in IoT-based hospital reservoirs. By designing a water level monitoring system in the reservoir using the HC-SR04 ultrasonic sensor as an input that measures water level and ESP32 as a microcontroller. The application produced from MIT App Inventor is a notification output and can display monitoring results. Based on the research results, it shows that the water level monitoring system in the reservoir can work well as expected, namely when the water is at the 25% limit, the application will send a notification to the smartphone in the form of sound so that users or technicians can find out and find the cause of the decreasing water level.