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All Journal Sinkron : Jurnal dan Penelitian Teknik Informatika Jurnal Inotera Brilliance: Research of Artificial Intelligence International Journal Software Engineering and Computer Science (IJSECS) Indonesian Journal of Electronics, Electromedical Engineering, and Medical Informatics PERFECT: Journal of Smart Algorithms Sriwijaya Electrical and Computer Engineering (Selco) Journal Jurnal Pengabdian Rekayasa dan Wirausaha Jurnal Pengabdian Rekayasa dan Wirausaha
Muharratul Mina Rizky
Universitas Syiah Kuala
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Electrical & Electronics Engineering Engineering Health Professions Industrial & Manufacturing Engineering Library & Information Science Materials Science & Nanotechnology Mathematics Mechanical Engineering Other

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Online Digital Invitation (An Implementation with Go-Web) Adi Ahmad; M. Arinal Ihsan; Hanis Novansyah; Muharratul Mina Rizky; Bakruddin
International Journal Software Engineering and Computer Science (IJSECS) Vol. 2 No. 2 (2022): OCTOBER 2022
Publisher : Lembaga Komunitas Informasi Teknologi Aceh (KITA)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/ijsecs.v2i2.802

Abstract

This study aims to develop an online digital invitation service that can be used for all activities such as invitations to religious, family, and personal activities and in the application development process the Go Web framework is used. This study uses research with the Research and Development method. The product developed based on initial research is the Online Digital Invitation System. The test subjects in this development are expert subjects and students of STMIK Indonesia Banda Aceh as potential users of the product. This research was taken by random sampling technique, which consisted of 20 small-scale and 30 large-scale test people. The data collection technique was done by using a questionnaire. This questionnaire was conducted to assess the application developed from the completeness of the application and the material as well as the physical appearance of the application. Data analysis is descriptive quantitative and qualitative. Based on the results of research and discussion of research results to develop an Online Digital Invitation System, several stages of feasibility testing are needed, namely media expert tests, material expert tests and tests on respondents. Based on the results of research on small group trials, the Digital Online Invitation System was obtained. Most 90% stated that it was very feasible to use, and the results of research on large trials, most of the students, 96.67% stated that it was very feasible to use. With these results, it can be concluded that the Online Digital Invitation System is very feasible to use. Based on the conclusions from the results of the study, it is implied that the Online Digital Invitation System is very feasible to use, so that it becomes good input for users in making digital invitations both used through browsers and android.
Website-Based Text Encryption Simulation with Hill Chiper T. Sukma Achriadi Sukiman; Anni Zulfia; Annisa Karima; Athiyatul Ulya; Muharratul Mina Rizky
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.v5i2.5757

Abstract

Data security has become increasingly crucial in the modern digital era, where almost all types of information ranging from text, images, to audio are stored and exchanged in digital form through open networks. The rapid growth of internet-based communication makes data highly vulnerable to interception, modification, or misuse by unauthorized parties. Cryptography is one of the most effective solutions to address these challenges. Among the classical cryptographic techniques, the Hill Cipher remains relevant today because it is based on linear algebra and matrix transformations, which provide a strong mathematical foundation and can be adapted for modern computational implementation. In this study, a web-based application was developed using the Python Flask framework to implement the Hill Cipher algorithm. The application enables users to perform both encryption and decryption of text and images through an interactive interface. Users can input plaintext and key matrices, and the system processes the data to produce encrypted or decrypted outputs in real time. This design not only demonstrates the practicality of applying classical cryptographic concepts with contemporary web technologies but also serves as a valuable educational tool. The results show that the application performs effectively, producing accurate outputs, while also supporting user learning in understanding encryption–decryption processes and guiding efforts to secure digital information.
The Use of Photodiode Sensors to Detect Sugar Levels in the Human Body Muharratul Mina Rizky; Depi Ginting; T Sukma Achriadi Sukiman
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.
Penerapan Sistem Pertanian Cerdas dan Sistem Deteksi Kematangan Buah Tomat pada Petani di Desa Kopelma Darussalam Muhammad Ilham; Muhammad Fadhil Althaf; Putri Rahmayani; Muharratul Mina Rizky; Rizka Ramadhana; Hendrik Leo
Jurnal Pengabdian Rekayasa dan Wirausaha Vol. 3 No. 1 (2026): Mei
Publisher : Fakultas Teknik Universitas Syiah Kuala

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24815/jprw.v3i1.1743

Abstract

Sektor pertanian menghadapi berbagai tantangan seperti perubahan iklim, keterbatasan sumber daya air, serta rendahnya pemanfaatan teknologi digital dalam proses budidaya tanaman. Permasalahan tersebut juga dialami oleh kelompok petani tomat di Desa Kopelma Darussalam, Banda Aceh, dimana proses penyiraman, pemupukan, dan pemantauan tanaman masih dilakukan secara manual sehingga kurang efisien. Kegiatan pengabdian masyarakat ini bertujuan untuk mengimplementasikan sistem pertanian cerdas berbasis Internet of Things (IoT) dan sistem deteksi kematangan buah tomat berbasis Artificial Intelligence (AI). Sistem yang dikembangkan terdiri atas sensor suhu udara, kelembapan udara, kelembapan tanah, kamera berbasis YOLOv8, pompa otomatis, serta web-dashboard monitoring berbasis cloud. Sistem mampu melakukan monitoring kondisi tanaman secara real-time, mengotomatisasi proses penyiraman air, pupuk, dan pestisida, serta mendeteksi tingkat kematangan buah tomat secara otomatis menggunakan metode computer vision. Hasil implementasi menunjukkan bahwa sistem mampu meningkatkan efisiensi penggunaan air sebesar 30–40%, meningkatkan efisiensi waktu operasional pertanian sebesar 80–90%, serta memperoleh tingkat kepuasan pengguna sebesar 4,7 dari 5. Selain itu, petani juga mampu mengoperasikan sistem secara mandiri setelah dilakukan pelatihan dan pendampingan. Dengan demikian, penerapan sistem pertanian cerdas ini dapat membantu meningkatkan efisiensi pengelolaan pertanian sekaligus mendorong literasi digital petani dalam pemanfaatan teknologi pertanian modern.
Penerapan Sistem Identifikasi Ekspresi Wajah Anak Penyandang Autisme Berbasiskan Citra Termal pada Sekolah Berkebutuhan Khusus di Banda Aceh Melinda Melinda; Yunidar Yunidar; Muhammad Irhamsyah; Muharratul Mina Rizky; Hendrik Leo; Fahmi Fahmi
Jurnal Pengabdian Rekayasa dan Wirausaha Vol 2, No 1 (2025)
Publisher : Universitas Syiah Kuala

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

This community service activity aims to apply technology to detect facial expressions of children with autism through thermal images. The activity was carried out at My Hope Special Need Center, Banda Aceh, an educational center for orphans and children with special needs. By utilizing a combination of psychological and technological approaches, data collection is carried out in the form of thermal images of the faces of children with and without autism. The data obtained was analyzed using the Convolutional Neural Network (CNN) approach to develop an automatic facial expression detection method. The results of this activity show the potential use of facial recognition technology in supporting education and therapy for children with special needs.
Co-Authors . Melinda Adi Ahmad Afdal Afdal Ahmadiar, Ahmadiar Amanda, Silviani Anhar Pulungan Anni Zulfia Annisa Karima Asmaidi Asmaidi Aulia, Niza Bakruddin Darma Setiawan Putra Depi Ginting Duana, Maiza Fahmi Fahmi Fardiansyah Adami Hanis Novansyah Hendrik Leo Hendrik Leo Ilham, Dirja Nur Leo, Hendrik Lindawati Lindawati M. Arinal Ihsan Mislina Mislina Muhammad Fadhil Althaf Muhammad Ilham Muhammad Irhamsyah Muhammad Khoiruddin Harahap Muliyadi Muliyadi Permata, Riski Surya Putri Rahmayani R, Fitria Ulfa Rahmad Dawood Ramadhana, Rizka Ridha Sitorus Rini Safitri Rizka Ramadhana Sabrina Ulia Mouna Safridatul Audah Sepri Kurniadi T Sukma Achriadi Sukiman T. Sukma Achriadi Sukiman Ulya, Athiyatul Yufnanda, Muhammad Aditya Yunidar Yunidar Zahran Jemi , Faris Zainal, Zulfan Zharifah Muthiah