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Asty Raisha Agma
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INDONESIA
JISTIND
Published by CV. Samudra Ilmu Indonesia
ISSN : 31107990     EISSN : -     DOI : -
Core Subject : Science, Social, Engineering,
Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Decision Sciences, Operations Research & Management Earth & Planetary Sciences Energy Immunology & microbiology Library & Information Science Materials Science & Nanotechnology Mechanical Engineering Neuroscience Social Sciences
JSTIND mencakup berbagai topik penelitian, termasuk namun tidak terbatas pada: Teknologi Informasi dan Komunikasi (TIK): Pengembangan perangkat lunak, kecerdasan buatan, data besar, dan sistem informasi. Teknologi Material dan Nanoteknologi: Penelitian tentang material baru, material cerdas, dan aplikasi nanoteknologi dalam berbagai industri. Energi Terbarukan dan Teknologi Lingkungan: Inovasi dalam sumber energi terbarukan, efisiensi energi, dan solusi teknologi untuk keberlanjutan lingkungan. Bioteknologi dan Teknologi Kesehatan: Kemajuan dalam bioteknologi, pengembangan obat, dan teknologi medis untuk peningkatan kualitas hidup. Robotika dan Automasi Industri: Penelitian terkait robot cerdas, automasi dalam manufaktur, dan aplikasi di berbagai sektor industri. Sains Terapan dan Inovasi Multidisipliner: Penelitian yang mengintegrasikan berbagai disiplin ilmu untuk menyelesaikan masalah praktis dan tantangan industri. Jurnal ini juga menyambut artikel-artikel tentang tren baru, teknologi disruptif, dan kolaborasi antara sains dan teknologi yang berpotensi mengubah dunia.
Arjuna Subject : Teknik (semua kategori) - Teknik (Lain-Lain)
Articles 5 Documents
 1 
Search results for , issue "Vol. 1 No. 1 (2025): September-November" : 5 Documents clear
Implementasi Internet of Things (IoT) dalam Monitoring Kualitas Air untuk Pertanian Berkelanjutan Anastasya, Jeana
Jurnal Sains dan Teknologi Indonesia Vol. 1 No. 1 (2025): September-November
Publisher : Jurnal Sains dan Teknologi Indonesia

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Abstract

This study explores the implementation of Internet of Things (IoT) technology in monitoring water quality to support sustainable agriculture. The increasing demand for food requires efficient resource management, particularly in water use. IoT-based monitoring systems provide real-time data on water quality parameters such as pH, dissolved oxygen, temperature, and turbidity, enabling farmers to make data-driven decisions. Through literature review and analysis of previous studies, this research identifies the potential of IoT in optimizing water usage, reducing environmental impact, and supporting precision agriculture practices. The findings highlight that IoT integration contributes significantly to sustainable farming by improving water management efficiency, enhancing crop productivity, and minimizing resource wastage.
Efisiensi Energi pada Bangunan Cerdas (Smart Building) Berbasis Teknologi Sensor dan Otomasi Nugraha, Halim
Jurnal Sains dan Teknologi Indonesia Vol. 1 No. 1 (2025): September-November
Publisher : Jurnal Sains dan Teknologi Indonesia

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Abstract

This study discusses the implementation of smart building technology with a focus on energy efficiency through the integration of sensors and automation systems. The research highlights how Internet of Things (IoT)-based devices, sensor networks, and automated control systems can optimize energy use in buildings without compromising occupant comfort. Data were collected from various literature sources and case studies that examined the role of lighting control, HVAC systems, renewable energy integration, and real-time monitoring in reducing energy consumption. Findings show that sensor-based smart building systems are capable of reducing electricity use by up to 30%, while improving indoor environmental quality and operational efficiency. Furthermore, automation allows predictive energy management by adjusting energy loads according to real-time occupancy and environmental conditions. The study concludes that smart buildings represent a strategic solution to support sustainability goals and energy conservation policies. Recommendations are made for future applications of artificial intelligence and advanced IoT integration to further optimize building energy efficiency.
Pengembangan Material Bioplastik Ramah Lingkungan Berbahan Dasar Limbah Pertanian Raisha, Asti
Jurnal Sains dan Teknologi Indonesia Vol. 1 No. 1 (2025): September-November
Publisher : Jurnal Sains dan Teknologi Indonesia

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Abstract

This study aims to explore the potential of agricultural waste as a primary raw material for developing eco-friendly bioplastic materials. The extensive use of petroleum-based plastics has caused serious environmental problems due to their non-biodegradable nature, thus requiring more sustainable alternatives. Agricultural residues such as rice straw, sugarcane bagasse, cassava peels, pineapple leaf fibers, and rice husks were selected for their abundance and high lignocellulose content. The research methodology includes starch or cellulose extraction from the residues, bioplastic formulation with natural plasticizers, and testing of physical, mechanical, and biodegradability properties. The results show that bioplastics derived from agricultural waste exhibit competitive mechanical strength, adequate water resistance, and faster biodegradation rates compared to conventional plastics. The addition of nanosilica filler from rice husk ash significantly improved flexibility and tensile strength of the bioplastic. These findings highlight that agricultural waste-based bioplastics can serve as an innovative solution to reduce plastic pollution while supporting circular economy principles. Therefore, the development of bioplastics from agricultural residues not only provides environmental benefits but also creates economic opportunities for rural communities and local resource-based industries.
Pemodelan Sistem Transportasi Cerdas (Intelligent Transportation System) untuk Mengurangi Kemacetan Perkotaan Resma, Tira
Jurnal Sains dan Teknologi Indonesia Vol. 1 No. 1 (2025): September-November
Publisher : Jurnal Sains dan Teknologi Indonesia

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Abstract

This study explores the modeling of Intelligent Transportation Systems (ITS) as an innovative approach to reducing urban traffic congestion. ITS integrates advanced technologies such as Internet of Things (IoT), big data analytics, and sensor-based control systems to optimize traffic flow, enhance mobility, and improve urban sustainability. Data were obtained from case studies and literature focusing on adaptive traffic signal control, real-time traffic monitoring, and integrated public transport management. The findings indicate that ITS-based traffic modeling can reduce average travel time by up to 25% and improve vehicle flow efficiency by 30%. Furthermore, predictive modeling using machine learning allows proactive traffic management and accident prevention. The research concludes that ITS represents a strategic solution to address congestion while supporting the transition towards smart and sustainable cities. Recommendations include integrating artificial intelligence, cloud computing, and vehicle-to-infrastructure communication to further improve system performance.
Penerapan Artificial Intelligence (AI) dalam Dunia Pendidikan Saputra, David
Jurnal Sains dan Teknologi Indonesia Vol. 1 No. 1 (2025): September-November
Publisher : Jurnal Sains dan Teknologi Indonesia

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Abstract

The role of Artificial Intelligence (AI) in education is rapidly expanding, serving as a transformative instrument to enhance both instructional and administrative practices. Through AI, students can experience customized learning pathways, receive adaptive feedback, and access automated support systems. Technologies like virtual tutors and AI-based chatbots not only foster interactive learning but also improve efficiency in managing educational tasks. Nevertheless, its application faces obstacles, including concerns over information security, unequal access to technology, and educators’ preparedness. Thus, implementing AI in education should be accompanied by strategic policies, robust infrastructure, and ongoing teacher training to achieve inclusive and effective educational progress.

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