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All Journal Brilliance: Research of Artificial Intelligence JATAED: Journal of Appropriate Technology for Agriculture, Environment, and Development DCS: Jurnal Pengabdian Masyarakat Global Advances in Science, Engineering & Technology (GASET)
Ginting, Depi
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Agriculture, Biological Sciences & Forestry Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering Mathematics Mechanical Engineering Public Health Other

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The Use of Photodiode Sensors to Detect Sugar Levels in the Human Body Rizky, Muharratul Mina; Ginting, Depi; Sukiman, T Sukma Achriadi
Brilliance: Research of Artificial Intelligence Vol. 5 No. 2 (2025): Brilliance: Research of Artificial Intelligence, Article Research November 2025
Publisher : Yayasan Cita Cendekiawan Al Khwarizmi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/brilliance.v5i2.6318

Abstract

Diabetes mellitus is a chronic metabolic disorder characterized by elevated blood glucose levels due to impaired insulin production or utilization. Regular monitoring of blood glucose is essential to prevent long-term complications such as neuropathy, nephropathy, retinopathy, and cardiovascular disease. However, conventional finger-prick glucometer methods, while accurate, are invasive, cause discomfort, and often discourage patients from performing frequent checks. To address this limitation, this study presents the design, implementation, and evaluation of a non-invasive glucose monitoring system utilizing a photodiode sensor in conjunction with a near-infrared (NIR) light source operating at wavelengths of 1600–1700 nm. The system architecture comprises an NIR LED as the light emitter, a photodiode as the optical receiver, an Arduino Nano microcontroller for data acquisition and signal processing, and an OLED display for real-time result presentation. During measurement, the user’s fingertip is placed between the LED and photodiode, allowing light to pass through the tissue. Variations in glucose concentration affect the absorption and scattering of NIR light, altering the intensity received by the photodiode. This analog voltage output is digitized using the Arduino’s ADC and converted into glucose levels through a calibration curve derived from reference readings taken using a commercial glucometer. Experimental evaluation was conducted on five human subjects under two physiological conditions—before meals (preprandial) and after meals (postprandial). Each condition was measured three times to minimize variability caused by movement or environmental light interference. The photodiode sensor readings were compared against glucometer results to assess accuracy. The system achieved an average accuracy of 87.1%, with individual measurements ranging from 79.2% to 96.9% before meals and 88.9% to 98.2% after meals. Statistical analysis revealed a mean absolute error (MAE) of 9.83 mg/dL and a correlation coefficient (R²) of 0.934, indicating a strong linear relationship between the two measurement methods. Notably, the system tended to slightly overestimate glucose levels before meals and underestimate them after meals, which may be attributed to physiological variations and optical path differences. The results demonstrate that the proposed photodiode-based NIR sensing system is a promising, low-cost, and user-friendly alternative to conventional invasive glucose monitoring. With further improvements in calibration algorithms, sensor placement stability, and ambient light shielding, this approach has the potential to be integrated into wearable devices, enabling continuous glucose tracking and improving patient adherence to self-monitoring routines.
Peningkatan Literasi Digital melalui Pelatihan Microsoft Office Dasar pada Mahasiswa Baru di Politeknik Aceh Selatan Ilham, Dirja Nur; Ihsan, M Arinal; Rater, Salya; Kurniadi, Sepri; Ginting, Depi; Candra, Rudi Arif; Saputra, Devi Satria; Fardiansyah, Fardiansyah; Irwansyah, Irwansyah; Amri, Asbahrul
DCS: Jurnal Pengabdian Masyarakat Vol. 2 No. 2 (2025): DCS: Jurnal Pengabdian Masyarakat, Volume 2 Nomor 2, Desember 2025
Publisher : LEMBAGA KAJIAN PEMBANGUNAN PERTANIAN DAN LINGKUNGAN (LKPPL)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62671/dcs.v2i2.121

Abstract

Keterampilan dalam mengoperasikan Microsoft Office merupakan kemampuan dasar yang wajib dimiliki mahasiswa untuk menunjang kegiatan akademik maupun administrasi. Oleh karena itu, Politeknik Aceh Selatan menyelenggarakan pelatihan pengenalan dasar Microsoft Office bagi mahasiswa baru penerima beasiswa Pemerintah Aceh Tahun 2025. Tujuan pelatihan ini adalah memberikan pemahaman dan keterampilan praktis dalam menggunakan aplikasi Microsoft Word, Excel, dan PowerPoint. Metode pelaksanaan dilakukan dengan pendekatan praktik langsung (hands-on training) yang dipandu oleh instruktur, serta disertai penugasan untuk memastikan pemahaman peserta. Pelatihan ini berlangsung secara intensif dan diikuti dengan antusias oleh mahasiswa baru. Evaluasi menunjukkan adanya peningkatan signifikan dalam penguasaan keterampilan dasar Microsoft Office. Peserta mampu menyusun dokumen akademik dengan format yang benar, mengolah data melalui tabel dan rumus sederhana di Excel, serta merancang presentasi yang sistematis menggunakan PowerPoint. Keberhasilan ini menegaskan bahwa pelatihan dasar Microsoft Office efektif dalam meningkatkan literasi digital mahasiswa. Dengan adanya kegiatan ini, mahasiswa baru penerima beasiswa tidak hanya dibekali kemampuan akademik, tetapi juga keterampilan teknologi informasi yang relevan dengan kebutuhan dunia pendidikan dan dunia kerja. Pelatihan ini diharapkan menjadi fondasi awal yang dapat mendukung keberhasilan studi serta menambah daya saing lulusan Politeknik Aceh Selatan di masa mendatang.
Security And Development Of Modern Computer Networks: A Literature Review On Monitoring, Cyber Threats, And Intelligent Detection Systems Susanti, Dela; Jannah, Dina Miftahul; Yunan, Amsar; Ginting, Depi; Anugreni, Fera
JATAED: Journal of Appropriate Technology for Agriculture, Environment, and Development Vol. 3 No. 1 (2025): JATAED: Journal of Appropriate Technology for Agriculture, Environment, and Dev
Publisher : LEMBAGA KAJIAN PEMBANGUNAN PERTANIAN DAN LINGKUNGAN (LKPPL)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62671/jataed.v3i1.92

Abstract

The development of modern computer networks has become a fundamental foundation for the implementation of various digital services in the era of digital transformation. Improvements in network speed, scalability, and integration provide significant benefits for the education, government, industrial, and financial sectors. However, behind these advancements, serious challenges emerge in terms of network security. The increasing complexity of modern network architectures raises the potential for cyber threats that may compromise data confidentiality, integrity, and availability. This study aims to examine the development and security of modern computer networks using a descriptive qualitative approach through a literature review method. Data sources were obtained from scientific articles, academic books, and relevant publications discussing computer networks, network monitoring, cyber threats, and intelligent attack detection systems. The results indicate that cyber threats such as phishing, malware, port scanning, and Distributed Denial of Service (DDoS) remain dominant issues. Network monitoring plays an important role as an early detection mechanism, but it has limitations in handling complex and dynamic attacks. Therefore, the implementation of machine learning-based intrusion detection systems is considered capable of enhancing network security effectiveness. The integration of technology, monitoring systems, and improved user security awareness is a key strategy in building adaptive and sustainable network security systems.
Network Security Analysis in Internet of Things (IoT) Systems Oktapiana, Nova; Ilham, Dirja Nur; Fardiansyah, Fardiansyah; Ginting, Depi; Anugreni, Fera
JATAED: Journal of Appropriate Technology for Agriculture, Environment, and Development Vol. 3 No. 1 (2025): JATAED: Journal of Appropriate Technology for Agriculture, Environment, and Dev
Publisher : LEMBAGA KAJIAN PEMBANGUNAN PERTANIAN DAN LINGKUNGAN (LKPPL)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62671/jataed.v3i1.95

Abstract

The rapid development of the Internet of Things (IoT) has significantly transformed various sectors, including industry, healthcare, smart cities, and agriculture. However, this growth has also increased the complexity and scale of network security vulnerabilities. IoT devices are typically resource-constrained and operate in heterogeneous network environments, making them attractive targets for cyberattacks. This study aims to analyze key network security challenges in IoT systems, evaluate solution technologies proposed in recent literature, and formulate evidence-based recommendations for improving IoT security. The research adopts a Systematic Literature Review (SLR) method by examining ten peer-reviewed articles published between 2020 and 2023 and indexed in IEEE Xplore, SpringerLink, and ACM Digital Library. The results indicate that major IoT security challenges include vulnerabilities in communication protocols, limited computational and energy resources, and the increasing prevalence of attacks such as Distributed Denial of Service (DDoS), spoofing, and ransomware. The most frequently proposed solutions involve machine learning-based anomaly detection, lightweight cryptographic mechanisms, layered security architectures using edge–fog–cloud computing, and blockchain integration to enhance authentication and data integrity. This study concludes that IoT security requires a holistic and multidisciplinary approach that integrates multiple complementary technologies within a unified security framework.
Design and Implementation of an IEEE 802.11 Signal Quality Monitoring Device Using an OLED Display Ananda, Desnalita; Candra, Rudi Arif; Ginting, Depi; Budianyah, Arie; Achriadi , T. Sukma
Global Advances in Science, Engineering & Technology (GASET) Vol. 1 No. 2 (2025): Global Advances in Science, Engineering & Technology (GASET), Article Research
Publisher : Politeknik Aceh Selatan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62671/gaset.v1i2.250

Abstract

Wireless communication based on the IEEE 802.11 standard is widely implemented in Internet of Things (IoT) and wireless network systems. The performance of such systems is strongly affected by signal quality, which directly influences connection stability, data transmission reliability, and latency. This study presents the design and implementation of a portable device for monitoring IEEE 802.11 signal quality using an OLED display. The proposed system is built on an ESP8266/ESP32 microcontroller with an integrated Wi-Fi module, enabling real-time measurement of the Received Signal Strength Indicator (RSSI) from the connected access point. The measured RSSI values are processed and converted into signal quality percentages and classified into qualitative levels, namely excellent, good, fair, and poor. The monitoring results, including SSID, RSSI value, signal quality level, connection status, and IP address, are displayed on a 0.96-inch OLED screen. Experimental testing was conducted under various conditions, including different distances from the access point and the presence of physical obstacles. The results demonstrate that the device is capable of providing accurate and stable signal quality information in real time. The developed system offers a low-cost, portable, and practical solution for wireless network performance evaluation and is suitable for educational purposes, network diagnostics, and IoT deployment analysis.
Co-Authors Achriadi , T. Sukma Amri, Asbahrul Amsar, Amsar Ananda, Desnalita Anugreni, Fera Budianyah, Arie Candra, Rudi Arif Fardiansyah, Fardiansyah Ihsan, M Arinal Ilham, Dirja Nur Irwansyah Irwansyah Jannah, Dina Miftahul Oktapiana, Nova Rater, Salya Rizky, Muharratul Mina Saputra, Devi Satria Sepri Kurniadi Sukiman, T. Sukma Achriadi Susanti, Dela