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All Journal IAES International Journal of Artificial Intelligence (IJ-AI) LOSARI: Jurnal Pengabdian Kepada Masyarakat
Arsadiando, Watra
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Agriculture, Biological Sciences & Forestry Humanities Computer Science & IT Earth & Planetary Sciences Economics, Econometrics & Finance Education Engineering Environmental Science Health Professions Languange, Linguistic, Communication & Media Library & Information Science Public Health Social Sciences Transportation Other

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Review of recent advances in non-invasive hemoglobin estimation Sutikno, Tole; Handayani, Lina; Ruliyandari, Rochana; Wijaya, Oktomi; Satrian Purnama, Hendril; Arsadiando, Watra; Pamungkas, Anggit
IAES International Journal of Artificial Intelligence (IJ-AI) Vol 14, No 2: April 2025
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijai.v14.i2.pp1031-1048

Abstract

Hemoglobin is essential for diagnosing conditions like anemia and respiratory issues. Traditionally, the assessment of hemoglobin necessitates invasive techniques that involve blood draws, which can induce discomfort and present possible complications for patients. Recent advancements in non-invasive technologies have light-emitting diode (LED) to the development of smartphone applications and machine learning algorithms that allow real-time hemoglobin level estimation, eliminating the need for blood sampling. This not only improves patient comfort but also enhances access to ongoing health monitoring. This review aims to delve into the newest developments in smartphone-oriented strategies for hemoglobin estimation, highlighting their importance within contemporary healthcare practices and the potential implications they might have for more expansive clinical applications. Technological advancements have combined smartphones and artificial intelligence (AI) for non-invasive hemoglobin estimation, offering a promising alternative to traditional methods. These solutions optimize data collection and analysis processes, enhance diagnoses' accuracy, and facilitate timely medical interventions. Advancements in technology have revolutionized medical diagnostics, particularly in estimating hemoglobin levels non-invasively. AI methodologies have demonstrated significant results in accurately forecasting hemoglobin concentrations through a variety of analytical strategies. Future research should focus on the best configurations for these networks and the physiological concepts underpinning spectral data interpretations.
Edukasi Penggunaan Energi Listrik dan Fasilitas Kantor yang Efisien dan Aman Arsadiando, Watra; Sutikno, Tole; Handayani, Lina; Wahono, Tri
LOSARI: Jurnal Pengabdian Kepada Masyarakat Vol. 7 No. 2 (2025): Deember 2025 (Article on Progress)
Publisher : LOSARI DIGITAL

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53860/losari.v7i2.489

Abstract

The inefficient use of electrical energy and office facilities often leads to waste, equipment damage, and potential workplace hazards. This community service program focused on educating employees to use electricity and office facilities in a safe and efficient manner. The objectives were to raise awareness of safety and efficiency, reduce energy consumption and the risk of facility damage, and enhance professionalism in the use of office equipment. The program was implemented through an interactive online workshop via Zoom, consisting of a pre-test, delivery of materials and practical sessions on five key indicators (electrical devices, computers, air conditioners, lighting, and electrical panels), a post-test, and reflective discussions. The results demonstrated a significant improvement in participants’ understanding, as indicated by higher average post-test scores compared to pre-test results. Moreover, participants were able to identify risks of improper electricity use and apply energy-saving strategies. This activity successfully fostered a safer, more efficient, and professional work environment. In the future, further programs are needed to monitor work behavior, strengthen internal policies, and integrate energy-saving technologies to ensure the sustainability of these positive impacts.
Co-Authors Lina Handayani Oktomi Wijaya Pamungkas, Anggit Ruliyandari, Rochana Satrian Purnama, Hendril Tole Sutikno Tri Wahono