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Contact Name
Samsurizal
Contact Email
sustainable@aks.or.id
Phone
+6282390449323
Journal Mail Official
sustainable@aks.or.id
Editorial Address
Jl. HR Soebrantas KM 16.5, Kab. Kampar, Provinsi Riau, 28293
Location
Kab. kampar,
Riau
INDONESIA
Journal of Sustainable Innovation Engineering
ISSN : -     EISSN : 30898609     DOI : https://doi.org/10.69693/sustainable
Journal of Sustainable Innovation Engineering is published by the Institute Of Advanced Knowledge and Science in helping academics, researchers, and practitioners to disseminate their research results. Journal of Sustainable Innovation Engineering is a blind peer-reviewed journal dedicated to publishing quality research results in the field of sustainable engineering and innovative technologies. All publications in the Journal of Sustainable Innovation Engineering Journal are open access which allows articles to be available online for free without any subscription. Journal of Sustainable Innovation Engineering is a national journal with e-ISSN: 3089-8609, and is have fee of charge in the submission process and review process. Journal of Sustainable Innovation Engineering publishes articles periodically four a year, in March, July, and November. Journal of Sustainable Innovation Engineering uses Turnitin plagiarism checks, Mendeley for reference management and supported by Crossref (DOI) for identification of scientific paper.
Articles 5 Documents
Search results for , issue "Vol. 1 No. 2 (2025): July" : 5 Documents clear
The Influence of Adaptive Work Culture on the Performance of Smart Energy Solar Cell Utilization in the Tofu Industry Nur, Meilani; Rahmawati, Dayyinah Ayunda
Journal of Sustainable Innovation Engineering Vol. 1 No. 2 (2025): July
Publisher : Institute Of Advanced Knowledge and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.69693/sustainable.v1i2.6

Abstract

This research explores the influence of adaptive work culture on the performance of smart energy solar cell utilization in the tofu industry. As the tofu industry increasingly adopts renewable energy technologies like solar power, understanding the role of employees' adaptability to these changes becomes crucial. The study utilizes a quantitative approach with a sample size of 30 employees involved in the implementation and operation of solar energy systems in tofu production. Data were analyzed using SmartPLS 24 software, applying several analytical methods, including validity, reliability, multicollinearity, R-square, and hypothesis testing. The research finds a significant positive relationship between adaptive work culture and the effective performance of solar energy systems, with key factors such as work flexibility, openness to change, and learning ability contributing to higher operational efficiency and system optimization. The results indicate that fostering an adaptive work culture within the workforce leads to better management, maintenance, and utilization of solar energy technology, enhancing overall production outcomes. Based on these findings, the study concludes that businesses in the tofu industry, and similar small-scale industries, should prioritize cultivating an adaptive work culture to successfully integrate and optimize renewable energy technologies.
Arranging Solar Energy For Farming Life: Designing A Solar Power Generation System As A Solution For Rice Field Irrigation In Kemulan Village, Turen District, Malang Regency Prasetya, Luhur Adi; Rizaldy, Muhammad Ridha; Oktaviani, Herlina Ike; Ichwanto, Muhammad Aris; Wibowo, Satrio Adji; Rofiudin, Amir; Haq, Salsabila Thifal Nabil; Hendranawan, Rian Syahmulloh; Wibowo, Ary Agung; Widiyawati, Irva; Muttaqiyah, Khusnul; Permataningtyas, Anisa; Samodra, Joko
Journal of Sustainable Innovation Engineering Vol. 1 No. 2 (2025): July
Publisher : Institute Of Advanced Knowledge and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.69693/sustainable.v1i2.7

Abstract

This research aims to design and test a solar power generation system (PLTS) as an alternative energy solution for agricultural irrigation in Kemulan Village, Turen District, Malang Regency. The method used is Research and Development (R&D) with the 4D model: Define, Design, Develop, and Disseminate. The define stage shows that farmers experience limited access to energy and high irrigation costs, with an average daily energy requirement of 1,500 Wh and operational costs of Rp 300,000-500,000 per season. Based on this data, a solar PV system was designed using two 100 Wp solar panels, a 12V DC pump, and an MPPT controller. Simulation through PVsyst showed an energy output of 1,620 Wh/day, while field testing produced 1,560 Wh/day with a water discharge of 70 liters/minute. Expert validation results show the system has high efficiency (86-88%), is easy to operate, and has the potential to be replicated. End-user evaluations showed positive scores on the aspects of convenience, usefulness, and re-adoption intention. The findings prove that a local needs-based approach and active involvement of farmers in the design to evaluation process can produce renewable technology systems that are applicable, efficient, and socially acceptable in the rural agricultural sector.
Temperature Monitoring and Fan Control System for Breast Milk Storage Coolbox Based on Arduino Uno Haryanti, Tri; Pamungkas, Anugrah; Kurnianingtyas, Rahajeng; Fatwasauri, Icha
Journal of Sustainable Innovation Engineering Vol. 1 No. 2 (2025): July
Publisher : Institute Of Advanced Knowledge and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.69693/sustainable.v1i2.10

Abstract

Breast milk is the main source of nutrition for infants and is highly susceptible to spoilage if not stored at the right temperature. This system uses temperature sensors to monitor the thermal conditions in the storage cabin and automatically control the cooling fan to maintain the ideal temperature for breast milk storage. Test results show that the thermoelectric-based cooling system works optimally in conditions without products, with an initial temperature of 31.3°C that decreases to 2.3°C within 70 minutes. However, in conditions with breast milk products, the initial temperature of 35.3°C could only be reduced to 5.4°C within 120 minutes. This difference indicates that the presence of the product provides an additional thermal load that slows down the cooling process. Therefore, a responsive automatic temperature control system and better thermal insulation are needed to maintain the breast milk storage temperature stably around 4°C. This system is expected to maintain the quality of breast milk during storage and support users' needs in maintaining stable storage temperature efficiently.
Integrating Semantic Web and AI in Informatics Education to Enhance Digital Information Evaluation Skills Kurniawan, Sena; Sarah, Yuni Siti
Journal of Sustainable Innovation Engineering Vol. 1 No. 2 (2025): July
Publisher : Institute Of Advanced Knowledge and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.69693/sustainable.v1i2.11

Abstract

The ability to critically evaluate digital information is a vital skill for students in an era of information overload and misinformation. This study aims to examine the effectiveness of integrating Semantic Web and Artificial Intelligence (AI) technologies in Informatics learning to enhance high school students' information evaluation skills. A quasi-experimental method was employed using a pretest-posttest control group design with two 11th-grade classes (30 students each). The intervention utilized Google Knowledge Graph and ChatGPT, with evaluations conducted via practical tests, digital literacy rubrics, and student perception questionnaires. Results revealed a statistically significant improvement in the experimental group’s evaluation scores (p < 0.01), particularly in accuracy and analytical depth. Students responded positively to semantic tools, although some reported difficulties understanding complex AI-generated content. The study concludes that Semantic Web and AI integration can serve as an effective pedagogical strategy in Informatics learning, provided there is adequate infrastructure and active teacher support as facilitators.
Artificial Intelligence and Sustainable Innovation: A Theoretical Review Artha, Bhenu; Sari, Utami Tunjung; Bahri, Bahri; Hadi, Antonius Satria; Sari, Niken Permata; Asri, Cahya Purnama; Satriadhi, Bintoro
Journal of Sustainable Innovation Engineering Vol. 1 No. 2 (2025): July
Publisher : Institute Of Advanced Knowledge and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.69693/sustainable.v1i2.12

Abstract

Artificial intelligence (AI) has become universal across various sectors, permeating every aspect of our lives regardless of age or profession. In this era of AI, it's necessary to prioritize sustainable development and innovation in its application, while AI enables rapid completion of tasks alike human efficiency, it also raises concerns about increasing unemployment rates. A theoretical literature review is conducted in order to achieve the research's goals and objectives, and a conceptual framework for future study is offered. Authors conclude that artificial intelligence affects green product, artificial intelligence affects green energy, and artificial intelligence affects green farming.

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