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Ikhsan Nendi
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daijjournal@gmail.com
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Jl Pakembaran, Blok Kamarang, Desa Penambangan, Kec. Sedong, Kabupaten Cirebon, Jawa Barat
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Digital Agriculture and Innovation Journal
Published by Politeknik Siber Cerdika Internasional
ISSN : 31100678     EISSN : 31100678     DOI : doi.org/10.59261/journaldaij
Core Subject : Agriculture,
Agriculture, Biological Sciences & Forestry
The scope of the journal covers a wide range of topics within agriculture and agri–innovation, including but not limited to: Smart farming and precision agriculture Agricultural data science, big data, and artificial intelligence Internet of Things (IoT) and automation in agriculture Agricultural biotechnology and sustainable crop innovation Climate-smart agriculture and environmental sustainability Agricultural economics, rural development, and food security Digital platforms for supply chain and market access Innovations in livestock, aquaculture, and agrotechnology
Arjuna Subject : Ilmu Pertanian dan Biologi (Semua) - Agronomi dan Ilmu Tanaman
Articles 10 Documents
 1 
The Role of AI in Enhancing Agricultural Labor Efficiency: Perspectives from HR Managers in Agri-Tech Firms Savandha, Septien Dwi; Fatimah, Ade Fitria; Rani Santika; Komarudin
Digital Agriculture and Innovation Journal Vol. 1 No. 1 (2025): Digital Agriculture and Innovation Journal
Publisher : Politeknik Siber Cerdika Internasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59261/journaldaij.v1i1.1

Abstract

Artificial intelligence (AI) 's rapid adoption in agriculture transforms labor efficiency, especially in agri-tech firms. This study explores the role of AI in enhancing labor productivity from the perspectives of human resource (HR) managers in the sector. The primary objective is to understand how AI technologies influence labor allocation, management practices, and workforce adaptation. Utilizing a qualitative research methodology, data were collected through semi-structured interviews with HR managers in agri-tech firms. Thematic analysis was applied to interpret the data, highlighting key trends in AI implementation. Results show that AI significantly reduces manual labor in repetitive tasks like crop monitoring and irrigation, allowing firms to reallocate human resources to higher-value roles. However, challenges such as employee resistance, skill gaps, and high implementation costs were also reported. HR strategies, including phased AI implementation and extensive training programs, have effectively managed workforce transitions. The study concludes that AI is vital for improving labor efficiency in agriculture, but its full potential requires careful management of human resources to mitigate resistance and enhance technical proficiency. These findings offer practical implications for HR managers and policymakers aiming to integrate AI sustainably into agricultural labor practices
Augmented Reality (AR) for Soil Health Assessment: A Visual Guide for Farmers in Resource-Limited Agricultural Zones Laraswati, Dwi Mei; Harsela, Chiska Nova; Maula, Indi Millatul; Pegi Sugiartini; Komarudin
Digital Agriculture and Innovation Journal Vol. 1 No. 1 (2025): Digital Agriculture and Innovation Journal
Publisher : Politeknik Siber Cerdika Internasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59261/journaldaij.v1i1.2

Abstract

The rapid advancement of digital technologies presents a significant opportunity for improving agricultural practices, particularly in resource-limited zones. Augmented Reality (AR) offers farmers an innovative real-time soil health assessment solution, enabling them to make informed decisions about irrigation, fertilization, and crop management. This study aims to evaluate the effectiveness of an AR-based soil health assessment tool tailored for smallholder farmers. A qualitative research approach was employed, using in-depth interviews and field observations with 20 farmers from rural agricultural areas. The tool provided real-time data on critical soil parameters, including moisture, nutrient levels, and pH balance. Results indicate that the AR tool significantly improved farmers’ ability to manage soil health, leading to more efficient water usage and optimized fertilizer application. However, challenges such as internet connectivity and digital literacy barriers were observed. Overall, the tool was found to be a valuable asset in promoting sustainable farming practices in low-resource areas. Future research should explore offline functionalities and broader applications of AR technology in agriculture.
Narratives of Change: How Farmers Perceive the Impact of Digital Tools on Traditional Practices Falah, Zidnal; Fitriyanti, Elvira; Alifah, Nur; Fadillah, Ega Nur
Digital Agriculture and Innovation Journal Vol. 1 No. 1 (2025): Digital Agriculture and Innovation Journal
Publisher : Politeknik Siber Cerdika Internasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59261/journaldaij.v1i1.3

Abstract

The adoption of digital tools in agriculture has brought significant changes, especially among traditional farmers who often rely on established practices. While digital innovations such as mobile applications, precision farming, and data analytics promise enhanced productivity and sustainability, their acceptance varies widely among farmers. This study aims to explore traditional farmers' perceptions of digital tools, focusing on factors influencing adoption, challenges in integration, and the potential benefits. A qualitative research approach was employed, using in-depth interviews and focus group discussions with a purposively selected sample of traditional farmers. Data were analyzed thematically to capture insights into attitudes, barriers, and the socio-cultural impact of digital tools on traditional practices. Findings reveal that farmers’ perceptions range from skepticism to conditional acceptance, often influenced by age, digital literacy, and cultural attachment. Key challenges include language barriers, technical complexity, and costs, with younger farmers demonstrating greater openness to adopting digital solutions. Additionally, results suggest that consistent training and support are critical for enhancing adoption rates, enabling farmers to balance traditional practices with modern tools. These insights provide practical implications for policymakers and technology developers, underscoring the need for localized training and adaptable digital solutions. This research emphasizes the importance of understanding and addressing traditional farmers' perspectives in promoting sustainable agricultural transformation.
AI-Enabled Market Access: Farmers’ Perspectives on Digital Platforms and Their Impact on Agricultural Trade in Remote Areas Fitriyani, Denta Rahma; Muhammad Nasir
Digital Agriculture and Innovation Journal Vol. 1 No. 1 (2025): Digital Agriculture and Innovation Journal
Publisher : Politeknik Siber Cerdika Internasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59261/journaldaij.v1i1.4

Abstract

The rapid expansion of digital platforms has created new opportunities for farmers in remote areas to access larger markets, yet significant challenges remain. This study investigates the accessibility, economic implications, and trust issues associated with digital platform adoption among farmers in rural regions. The research aims to explore how these platforms impact agricultural trade by addressing key factors influencing usability, financial viability, and security concerns. A qualitative approach was employed, focusing on in-depth interviews and focus groups with small-scale farmers who engage in digital transactions. Findings indicate that while digital platforms improve pricing transparency and provide market opportunities, challenges such as high transaction fees, logistics costs, and limited digital literacy inhibit their full potential. Trust issues, including data security and payment reliability, further affect adoption rates, underscoring the importance of user-centered design and affordable access models. Practical implications suggest the need for digital literacy programs, simplified interfaces, and enhanced security features tailored to the unique needs of rural farmers. This research highlights critical areas for intervention, aiming to make digital platforms more inclusive and economically viable for the agricultural sector in remote areas.
Recruitment and Retention of Tech-Savvy Talent for AI in Agriculture: Challenges Faced by HR in Rural Agribusiness Azzahra, Adelia; Sherina Prahitaningtyas; Fahad Khan Afridi; Makinde Grace Olubisi
Digital Agriculture and Innovation Journal Vol. 1 No. 1 (2025): Digital Agriculture and Innovation Journal
Publisher : Politeknik Siber Cerdika Internasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59261/journaldaij.v1i1.5

Abstract

The integration of AI in agriculture is transforming rural agribusinesses, offering solutions for increased productivity and sustainability. However, these agribusinesses face significant challenges in recruiting and retaining AI talent due to geographical limitations, limited career growth opportunities, and perceptions of technological constraints. This study investigates the factors impacting AI talent acquisition and retention within rural agribusinesses and explores practical strategies to address these challenges. Using a qualitative approach, data were collected from HR professionals across rural agribusinesses, focusing on their experiences and strategies for managing AI-driven recruitment and retention. Findings indicate that limited candidate pools, infrastructural constraints, and perceptions of limited professional growth pose significant barriers to attracting tech-savvy talent. Effective retention strategies identified include flexible work arrangements, skill development programs, and digital engagement platforms, all of which contribute to higher job satisfaction among AI professionals in rural settings. The study concludes that rural agribusinesses can enhance their talent acquisition by emphasizing the impact of AI in sustainable agriculture and by adapting digital recruitment strategies to target tech-driven professionals seeking purpose-oriented careers. These findings provide valuable insights for HR practitioners and policymakers aiming to bridge the digital divide in agriculture through improved AI talent management.
IoT and Learning Integration Machine For Optimization Irrigation on Land Small-scale farming Junaedi, Ajeng Syadiar
Digital Agriculture and Innovation Journal Vol. 1 No. 2 (2025): Digital Agriculture and Innovation Journal
Publisher : Politeknik Siber Cerdika Internasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59261/journaldaij.v1i2.7

Abstract

Study This study integration Internet of Things (IoT) technology and learning machine For optimize irrigation of land agriculture scale small . Method qualitative involving humidity sensor installation soil and temperature air , data processing​ local on edge devices using learning models machines , as well as interview deep with farmers . The results show that the edge- based model ‑achieves accuracy prediction daily water requirements with RMSE 3.9 mm and lower average water ‑usage 28%. Real ‑time response without internet dependency , mobile friendly ‑interface , as well as cost low operational​ speed up adoption technology . The implication is that the system This capable increase water efficiency , pressing cost production , and support agriculture sustainable at the level micro .
The Role of Blockchain Technology in Ensure Transparency Chain Supply Product Agriculture Organic Muhamad, Faozi
Digital Agriculture and Innovation Journal Vol. 1 No. 2 (2025): Digital Agriculture and Innovation Journal
Publisher : Politeknik Siber Cerdika Internasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59261/journaldaij.v1i2.8

Abstract

Transparency and traceability information in chain supply product agriculture organic become challenge main in guard trust Consumers and the integrity of organic labels . Research This aim For explore role blockchain technology in ensure data transparency and validation of distribution processes product organic . The method used is approach qualitative through studies field against 15 perpetrators chain supplies , including farmers , cooperatives , distributors, and agritech startups . Research results show that blockchain is capable of increase traceability products , speed up the audit process, and build system more reporting​ trusted . Although adoption technology This Still face obstacle like limitations digital literacy and infrastructure , potential its integration very big especially at the level cooperatives and retail. Research This give implications practical for development system chain supply agriculture based technology as well as push collaboration cross actor For build system more food​ transparent and accountable .
Utilization System Big Data -Based Pest Prediction in Plants Horticulture : Study Cases in Tropical Regions Lubis, Sri Wahyuni
Digital Agriculture and Innovation Journal Vol. 1 No. 2 (2025): Digital Agriculture and Innovation Journal
Publisher : Politeknik Siber Cerdika Internasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59261/journaldaij.v1i2.9

Abstract

Attack difficult pests​ predicted is challenge main in cultivation plant horticulture in tropical regions . Research This aim For evaluate utilization system prediction pest big data based designed For give warning early and recommendations more control​ accurate . Approach research used​ is qualitative with method studies case to three group farmer horticulture in tropical Indonesia. Data collected through interview in-depth , observation field , and documentation use A predictive digital system that integrates microclimate data , field sensors , and machine learning algorithms . Research results show that use system This lower intensity attack pest by 30–50% and increase efficiency use pesticides . Farmers with greater digital literacy tall show level adoption more systems​ good . Findings This give contribution important for development system agriculture adaptive precision​ to change climate tropical and can push taking decision data- based at the level field .
Analysis Effectiveness Feed Warehouse Automation Cattle Using Smart Sensors and Robotics Komarudin, Komarudin
Digital Agriculture and Innovation Journal Vol. 1 No. 2 (2025): Digital Agriculture and Innovation Journal
Publisher : Politeknik Siber Cerdika Internasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59261/journaldaij.v1i2.10

Abstract

Improvement efficiency operations in the sector farm be one of focus main in face challenge productivity and sustainability . Research This aim For analyze effectiveness system automation warehouse feed livestock that integrates smart sensors and robotics , with studies cases in two warehouse scale middle school in Indonesia. Approach qualitative used with method studies case through interview in-depth , observation field , and analysis document system automation . Research results show that automation capable lower time distribution up to 44%, reducing need power Work by 50%, and increase accuracy recording stock until more from 95%. Users system show adaptation positive after training and systems proven support transparency as well as safety work . Implications from study This leading to potential replication system For farm scale more wide and become base for development technology logistics farm smart in Indonesia.
Evaluation Sustainability Agriculture Precision Based Robotics and Sensors against Efficiency Use Source Water Power Rizki, Aulia
Digital Agriculture and Innovation Journal Vol. 1 No. 2 (2025): Digital Agriculture and Innovation Journal
Publisher : Politeknik Siber Cerdika Internasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59261/journaldaij.v1i2.11

Abstract

Agriculture precision become solution strategic in face challenge efficiency use source water resources in the sector agriculture , especially in tropical areas that are prone to water crisis . Research This aim evaluate sustainability system agriculture precision based deep robotics and sensors increase water efficiency . Research done with approach qualitative studies cases in two location agriculture tropical which has apply system precision based on humidity , weather and irrigation sensors automatic . Data collection techniques are carried out through interviews , observations field , and sensor documentation , then analyzed in a way thematic . The results show decline irrigation water consumption up to 42%, an increase accuracy water distribution , as well as subtraction burden manual work . System this is also accepted good by farmers after through stages training and adaptation . Implications study This push development technology agriculture efficient , adaptive , and sustainable precision in water management in an era of change climate .

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