Claim Missing Document
Check
Articles

Found 8 Documents
Search

High frequency of low noise amplifier architecture for WiMAX application: A review Abu Bakar Ibrahim; Che Zalina Zulkifli; Shamsul Arrieya Ariffin; Nurul Husna Kahar
International Journal of Electrical and Computer Engineering (IJECE) Vol 11, No 3: June 2021
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijece.v11i3.pp2153-2164

Abstract

The low noise amplifier (LNA) circuit is exceptionally imperative as it promotes and initializes general execution performance and quality of the mobile communication system. LNA's design in radio frequency (R.F.) circuit requires the trade-off numerous imperative features' including gain, noise figure (N.F.), bandwidth, stability, sensitivity, power consumption, and complexity. Improvements to the LNA's overall performance should be made to fulfil the worldwide interoperability for microwave access (WiMAX) specifications' prerequisites. The development of front-end receiver, particularly the LNA, is genuinely pivotal for long-distance communications up to 50 km for a particular system with particular requirements. The LNA architecture has recently been designed to concentrate on a single transistor, cascode, or cascade constrained in gain, bandwidth, and noise figure.
Application of Autonomous Solar Energy-Powered Fishing Small Boat to Support Fisheries Food Security in Underserved Villages ff Demak Regency Adenanthera Lesmana Dewa; Erika Saraswati; Malikus Sumadyo; Purwanto Purwanto; Muhammad Ikhsan Setiawan; Che Zalina Zulkifli; Mohd Fauzi Sedon; Fazilat Kodirova
International Journal of Engineering, Science and Information Technology Vol 6, No 2 (2026)
Publisher : Malikussaleh University, Aceh, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52088/ijesty.v6i2.1822

Abstract

Fisheries-based food security in underserved coastal villages remains vulnerable due to limitations in fishing capacity, rising fuel costs, environmental degradation, and restricted access to modern fishing technologies. These challenges significantly affect the productivity and income of small-scale fishers, ultimately influencing the availability and affordability of fish as a primary source of protein for coastal communities. In many coastal areas of Indonesia, particularly in underserved villages, conventional fishing activities continue to rely heavily on fossil-fuel-powered boats, resulting in high operational expenses and increased greenhouse gas emissions. Consequently, there is a growing need for innovative and sustainable technological solutions that can improve fisheries productivity while supporting environmental conservation and community welfare. This study presents the design, development, and application of an autonomous, solar-powered small fishing boat aimed at enhancing sustainable fisheries production in underserved villages in Demak Regency, Indonesia. The proposed system integrates renewable energy harvesting through photovoltaic panels, autonomous navigation technology, fish location sensing, and intelligent route optimization to reduce dependence on fossil fuels while increasing operational efficiency and fishing effectiveness. A mixed-method approach was employed, combining engineering design, prototype development, laboratory validation, field deployment, and pilot testing involving local fishers. Stakeholder feedback was also collected to evaluate usability, acceptance, and potential socioeconomic impacts. The results indicate that the solar-powered autonomous fishing boat reduces operational fuel costs by approximately 95%, increases fishing efficiency by 42%, and decreases greenhouse gas emissions by an estimated 1.8 tonnes of CO? per vessel annually. Furthermore, the system demonstrates reliable navigation performance and contributes to safer fishing operations by reducing human workload and optimizing fishing routes. The adoption of this technology has the potential to increase fisher income, strengthen local food security, and support sustainable fisheries management. This innovation aligns with national strategies for renewable energy utilization, blue economy development, and rural economic empowerment, offering a scalable and environmentally friendly solution for coastal regions facing similar socioeconomic and ecological challenges.
Integration of Agricultural Automation, and Sustainable Tourism Businesses to Strengthen the Green Economy, and Achieve Food Self-Sufficiency in Wonosalam Village Agus Sukoco; Achmad Muchayan; Fetty Asmaniati; Nuryadi Nuryadi; Muhammad Ikhsan Setiawan; Che Zalina Zulkifli; Fazilat Kodirova
International Journal of Engineering, Science and Information Technology Vol 6, No 3 (2026)
Publisher : Malikussaleh University, Aceh, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52088/ijesty.v6i3.1826

Abstract

The transition toward a green economy requires rural communities to adopt innovative strategies that integrate sustainable agriculture, technological advancement, and tourism-based economic development. Wonosalam Village in Jombang Regency, Indonesia, possesses considerable potential to support this transformation due to its fertile agroforestry landscapes, abundant biodiversity, agricultural productivity, and rapidly growing eco-tourism sector. This study examines the synergistic integration of agricultural automation and sustainable tourism as a strategic approach to improving food self-sufficiency, increasing rural income, and strengthening the local green economy. The research employs a mixed-methods approach, combining field surveys, participatory rural appraisal, direct observation, and stakeholder interviews involving farmers, tourism operators, local government officials, and community leaders. In addition, pilot implementations of small-scale automation technologies were conducted in horticultural and livestock production systems to assess their operational effectiveness and socio-economic impact. The findings indicate that the adoption of smart farming technologies, including automated irrigation systems, precision nutrient delivery, environmental monitoring sensors, and solar-powered post-harvest processing facilities, significantly improves resource efficiency, productivity, and product quality while reducing production costs and environmental pressures. Furthermore, the integration of agricultural activities with tourism experiences creates diversified income opportunities through farm-based recreation, agrotourism attractions, local product marketing, and educational programs focused on sustainable farming practices. The model also supports the principles of a circular economy by utilizing agricultural by-products as resources for tourism activities, organic fertilizer production, and environmental conservation initiatives. Community participation and stakeholder collaboration were identified as key factors for successful implementation. Overall, the study demonstrates that the integration of agricultural automation and sustainable tourism can enhance rural economic resilience, promote environmental sustainability, and contribute to the development of secure and sustainable food systems. The proposed model offers a practical and replicable framework for other rural regions seeking to achieve green economic growth and long-term community prosperity
Autonomous Fish Feeding Integrated System for Food Self-Sufficiency and Aquatourism Development in Malang City Taufiqur Rokhman; Aeri Sujatmiko; Hj. Lis Setyowati; M Husen Hutagalung; Muhammad Ikhsan Setiawan; Che Zalina Zulkifli; Zulfiya Khabirova; Fazilat Kodirova
International Journal of Engineering, Science and Information Technology Vol 6, No 1 (2026)
Publisher : Malikussaleh University, Aceh, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52088/ijesty.v6i1.1832

Abstract

This article examines the integration of autonomous fish-feeding systems with salt production and fish processing technologies as an innovative strategy to enhance food self-sufficiency, strengthen rural economies, and promote aquatourism development in Malang Regency, Indonesia. The region possesses significant potential in aquaculture, fisheries, and coastal resource utilization; however, productivity remains constrained by inefficient feeding practices, limited technological adoption, outdated processing methods, and infrastructure disparities. These challenges reduce production efficiency, increase operational costs, and limit the competitiveness of local fishery products in broader markets. The study employs a qualitative and participatory approach based on stakeholder engagement, field observations, focus group discussions, and technological gap analyses involving fish farmers, salt producers, tourism operators, local governments, and community organizations. The research develops an integrated innovation model that combines autonomous fish-feeding systems, smart aquaculture management, sustainable salt production, and value-added fish processing technologies within a unified economic ecosystem. The proposed model is designed to improve production efficiency while creating new tourism attractions centered on fisheries, coastal culture, and environmental education. The findings indicate that the adoption of automated feeding technologies can significantly reduce feed waste, lower operational costs, improve fish growth performance, and enhance overall aquaculture productivity. In addition, integrating fish processing and salt production activities with aquatourism creates diversified income sources, increases employment opportunities, and supports local entrepreneurship. The model also contributes to environmental sustainability by promoting efficient resource utilization and reducing production-related waste. The study concludes that the integration of autonomous aquaculture technologies with fisheries-based tourism represents not only a technological advancement but also a strategic pathway for economic transformation in coastal and rural regions. Furthermore, the proposed framework offers a scalable and replicable model for achieving sustainable food systems, community resilience, and inclusive regional development in Indonesia and other developing countries.
Enhancing the Income of Mie Lidi Microenterprises in the Underdeveloped Village of Banjarsari, Demak Regency Through the Implementation of Solar-Powered Portable Automatic IoT Blower Technology Sunu Arsy Pratomo; Purwanto Purwanto; Fatchur Roehman; Muhammad Ikhsan Setiawan; Che Zalina Zulkifli; Zulfiya Khabirova
International Journal of Engineering, Science and Information Technology Vol 6, No 2 (2026)
Publisher : Malikussaleh University, Aceh, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52088/ijesty.v6i2.1840

Abstract

This study investigates the integration of solar energy technologies to improve operational efficiency, reduce production costs, and enhance income generation among micro and small enterprises in rural Indonesia. The research focuses on the mie lidi processing sector in Banjarsari Village, Demak Regency, where traditional drying practices remain highly dependent on weather conditions, resulting in inconsistent production quality and limited productivity. To address these challenges, the study introduces a solar-powered Portable Automatic Internet of Things (IoT) Blower designed to automate and optimize the drying process while utilizing renewable energy as the primary power source. The proposed system incorporates two 550-watt monocrystalline solar panels integrated with IoT-based monitoring and automated airflow control mechanisms. Performance evaluation demonstrates that the solar energy system generates an average of 6.69 kilowatt-hours (kWh) of electricity per day, equivalent to approximately 187.2 kWh per month. Meanwhile, the blower requires only 0.864 kWh of energy per day, representing 12.9% of total energy production, thereby creating a substantial energy surplus that supports long-term operational sustainability. The implementation of the system produces estimated monthly electricity cost savings of IDR 270,447.24, significantly reducing operational expenditures for local enterprises. Beyond economic benefits, the automated drying technology enhances production consistency by eliminating dependence on fluctuating weather conditions and reducing processing delays. The integration of renewable energy and smart automation also contributes to environmental sustainability through lower carbon emissions and reduced reliance on fossil-fuel-based electricity. The findings indicate that solar-integrated IoT drying systems offer a practical, scalable, and environmentally friendly solution for strengthening rural entrepreneurship, increasing productivity, and supporting sustainable economic development. Furthermore, the proposed model provides a replicable framework that can be adopted by other rural communities with similar climatic and socio-economic conditions to promote energy independence and resilient local industries
Integrated Smart Agriculture, and Sustainable Tourism Model for Advancing Green Economy And Food Self-Sufficiency In Wonosalam Village Nuryadi Nuryadi; Ony Thoyib Hadiwijaya; Koesriwulandari Koesriwulandari; Muhammad Ikhsan Setiawan; Che Zalina Zulkifli; Zulfiya Khabirova
International Journal of Engineering, Science and Information Technology Vol 6, No 3 (2026)
Publisher : Malikussaleh University, Aceh, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52088/ijesty.v6i3.1855

Abstract

This study explores the integration of ecotourism and smart agriculture as a strategic approach to strengthening the green economy and achieving local food sovereignty in Wonosalam Village, Jombang Regency, Indonesia. The research develops and validates a solar-powered smart durian farming system that integrates renewable energy, precision irrigation, organic fertilization, environmental sensing, Internet of Things (IoT) technology, and artificial intelligence (AI)-based decision support. The proposed system continuously monitors key environmental parameters, including soil moisture, temperature, humidity, solar radiation, and nutrient conditions, enabling real-time recommendations for irrigation, fertilization, and crop management. A mixed-methods approach combining field observations, stakeholder engagement, system validation, and performance evaluation was employed to assess the technological, environmental, and socio-economic impacts of the integrated model. The findings demonstrate that the implementation of intelligent farming technologies significantly improves durian productivity, optimizes water and energy utilization, reduces dependence on chemical fertilizers through organic nutrient management, and enhances farm operational efficiency. Simultaneously, the integration of interactive ecotourism activities, environmental education, and digital monitoring platforms creates additional income opportunities for local communities while increasing public awareness of sustainable agriculture and biodiversity conservation. The proposed model establishes a circular rural economy by connecting agricultural production, renewable energy utilization, environmental stewardship, tourism services, and local entrepreneurship within a single integrated ecosystem. Furthermore, the system strengthens community participation, promotes technology adoption among farmers, and enhances resilience against climate variability. The study concludes that combining smart agriculture with ecotourism provides a scalable and replicable rural development framework capable of supporting national green economy strategies, decentralized food sovereignty initiatives, sustainable tourism development, and long-term environmental sustainability in agricultural regions
A Development and evaluation of a 3D electromagnetic field simulation tool for aviation communication engineering education Fatmawati Sabur; Heru Prasetyo; Mulyadi Nur; Kurniaty Atmia; Supriyadi Supriyadi; Devi Dwi Purwanto; Slamet Winardi; Arsyen Pratama Parrangan; Che Zalina Zulkifli
Jurnal Pendidikan Vokasi Vol. 16 No. 2 (2026)
Publisher : ADGVI & Graduate School of Universitas Negeri Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21831/jpv.v16i2.91450

Abstract

This study addresses a learning gap in Aviation Communication Engineering education, where electromagnetic field concepts are highly abstract and difficult to understand through conventional teaching methods. Existing instructional media provide limited interactive and contextualized visualizations of electric and magnetic field phenomena, resulting in low levels of students’ conceptual understanding. The study employed a Research and Development (R&D) methodology based on the ADDIE (Analysis, Design, Development, Implementation, and Evaluation) instructional design model. Subject matter experts and media experts evaluated the application in terms of content validity, interface design, and interactivity. The primary outcome was the development of a web-based three-dimensional (3D) electromagnetic field simulation to support learning in aviation communication engineering. Its effectiveness was subsequently evaluated using a quasi-experimental pre-test–post-test control-group design involving 30 students assigned to experimental and control groups. The experimental group used the web-based 3D simulation developed with Python and Three.js, whereas the control group received conventional instruction. Data were analyzed using paired-samples t-tests, Cohen’s d effect size, and 95% confidence intervals. The results revealed significant improvements in both groups (p < 0.05), with the experimental group demonstrating greater learning gains (M = 23.3; from 63.2 to 86.5; t = −73.06) than the control group (M = 11.3; from 62.8 to 74.1; t = −48.79). Effect size analysis indicated a very large educational impact (Cohen’s d ≈ 5.85), while the confidence intervals showed no overlap between groups, supporting the robustness of the observed differences. The findings suggest that 3D simulation-based learning is more effective than conventional instruction in enhancing students’ conceptual understanding of electromagnetic field concepts. The study also provides empirical support for the Cognitive Theory of Multimedia Learning and Cognitive Load Theory in the context of vocational aviation education.
Digitalization of Transportation 5.0 Through Robotic Fishery Frozen Supply for Enhancing Aquatic Food Distribution in Demak City Muhammad Ikhsan Setiawan; Agus Sukoco; Malikus Sumadyo; Elisa Sulistyorini; Adenanthera Lesmana Dewa; Che Zalina Zulkifli; Nafasov Mirzomurod Mukhamadovich; Fazilat Kodirova
International Journal of Engineering, Science and Information Technology Vol 6, No 1 (2026)
Publisher : Malikussaleh University, Aceh, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52088/ijesty.v6i1.1827

Abstract

The transformation of fishery product distribution systems has become increasingly important in ensuring food security, supply chain efficiency, and economic resilience in coastal regions. As demand for high-quality aquatic food products continues to grow, conventional logistics systems often face challenges related to post-harvest losses, inefficient transportation, limited traceability, and inadequate cold chain management. This research investigates the application of Digitalization 5.0 in transportation logistics through an integrated Robotic Fishery Frozen Supply system to enhance the distribution of aquatic food products in Demak City, Indonesia. The proposed framework combines autonomous robotic loading and unloading technologies, Internet of Things (IoT)-based cold chain monitoring, real-time logistics management, and blockchain-enabled traceability to create a smart and sustainable fishery distribution ecosystem. The study employs a mixed-methods approach, integrating qualitative assessments through stakeholder interviews and focus group discussions with quantitative evaluations of logistics performance, distribution efficiency, cold chain stability, and operational cost-effectiveness. The findings demonstrate that the implementation of the Robotic Fishery Frozen Supply model significantly improves distribution performance by reducing post-harvest losses by 27%, shortening delivery times by 35%, and enhancing transparency and accountability throughout the supply chain. In addition, the system contributes to maintaining product quality, minimizing food waste, and improving market access for local fishery producers. The research further reveals that the Digitalization 5.0 framework supports sustainable development by integrating human-centered innovation, automation, and environmental responsibility. The proposed model aligns with the Sustainable Development Goals (SDGs), particularly Goal 2 (Zero Hunger), Goal 9 (Industry, Innovation and Infrastructure), and Goal 12 (Responsible Consumption and Production). The novelty of this study lies in the convergence of autonomous robotic technologies, Digitalization 5.0 principles, and sustainable fishery logistics, offering a scalable and replicable model for coastal regions in developing countries seeking to modernize aquatic food distribution systems while strengthening economic sustainability and food security