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All Journal Analisis: Jurnal Studi Keislaman Jurnal Ilmiah Widya Intelektualita Dusturiah : Jurnal Hukum Islam, Perundang-undangan dan Pranata Sosial Jurnal Manajemen Pendidikan Phinisi Integration Review SAMARAH: Jurnal Hukum Keluarga dan Hukum Islam Dinamisia: Jurnal Pengabdian Kepada Masyarakat EDUKATIF : JURNAL ILMU PENDIDIKAN Jurnal Socius: Journal of Sociology Research and Education Walasuji : Jurnal Sejarah dan Budaya Jurnal Abdi Insani JOURNAL OF INFORMATION SYSTEM MANAGEMENT (JOISM) BUSTANUL FUQAHA: Jurnal Bidang Hukum Islam AGRISAINS: Jurnal Ilmiah Magister Agribisnis Al-Qadha: Jurnal Hukum Islam dan Perundang-Undangan Fitrah: International Islamic Education Journal International Journal of Educational Research and Social Sciences (IJERSC) Hunafa: Jurnal Studia Islamika Tameh : Journal of Civil Engineering Tahqiqa: Jurnal Pemikiran Hukum Islam Al Mabhats : Jurnal Penelitian Sosial Agama Priviet Social Sciences Journal AgriMu Journal Of Artificial Intelligence And Software Engineering Indonesian Journal of Science, Technology, and Humanities eProceeding of TIK
Safriadi Safriadi, Safriadi
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Religion Agriculture, Biological Sciences & Forestry Arts Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Education Engineering Environmental Science Health Professions Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Mathematics Social Sciences Transportation Other

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Journal : journal of artificial intelligence and software engineering

 1 
Implementation of Cloud Computing in E-Gizi for Recording and Reporting Toddler Nutrition Status in Batuphat Timur Village via Mobile Applications Munanda, Allissa; Hidayat, Hari Toha; Safriadi, Safriadi
Journal of Artificial Intelligence and Software Engineering Vol 4, No 2 (2024)
Publisher : Politeknik Negeri Lhokseumawe

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30811/jaise.v4i2.6127

Abstract

Based on existing data in 2022, Aceh still at the fifth highest level in indonesia for the stunting category. At this time, many posyandu still use books to record children’s growth development and this is very ineffective. Based on this fact, a mobile application is needed that can be used for recording and reporting child growth and development. The reseach aims to produce an application that is effective and can be implemented in the East Batuphat posyandu, so that it make easier for posyandu officiers to record and report child growth and development. This reseach used the blackbox testing method to detemine the level of user satisfaction with the feasibility of the application. The result of testing the feasibility of applications using blackbox testing are 95.8% user satisfaction and 4.2% user dissatisfactions and result based on child data obtained from the East Batuphat health center more than 80% of children are in good nutritional status.
Penerapan E-Raport Kekurangan Energi Kronis (KEK) dengan Cloud Computing pada Smart Village di Desa Uteunkot Muliawati, Muliawati; Hidayat, Hari Toha; Safriadi, Safriadi; Anwar, Anwar
Journal of Artificial Intelligence and Software Engineering Vol 4, No 1 (2024)
Publisher : Politeknik Negeri Lhokseumawe

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30811/jaise.v4i1.5402

Abstract

Berdasarkan data tahun 2023, Aceh masih menduduki peringkat kelima tertinggi di Indonesia dalam kategori kekurangan energi kronis (KEK). Saat ini, puskesmas Muara Dua Kota Lhokseumawe terutama di Desa Uteunkot, masih mengandalkan pencatatan KEK menggunakan buku, yang terbukti kurang efektif. Oleh karena itu, untuk mengatasi permasalahan ini, dibutuhkan pengembangan sebuah aplikasi mobile yang dapat digunakan untuk pencatatan dan pelaporan KEK guna meningkatkan efisiensi dan efektivitas proses tersebut. Penelitian ini bertujuan membuat aplikasi e-raport KEK dalam bentuk mobile agar dapat digunakan untuk melihat persentase yang didapatkan oleh masyarakat yang kekurangan gizi. Dalam penelitian ini digunakan metode blackbox testing untuk mengetahui kepuasaan pengguna terhadap aplikasi, untuk pengujian web service digunakan QoS. Tingkat kepuasan pengguna mencapai 97.4% akan tetapi dari ketidakpuasan pengguna mencapai 2.6%. Berdasarkan pengujian QoS diperoleh hasil 11,77/sec dalam waktu respon pada permintaan 1,10,50,100,250,500 dan 1000. Pada pengguna 10,50,250,500 dan 1000 mencapai rata-rata 21,28/sec dalam waktu respon dengan permintaan 1 pengguna. AbstractBased on data from 2023, Aceh is still ranked fifth highest in Indonesia in the category of chronic energy deficiency (CHD). Currently, the Muara Dua Health Center in Lhokseumawe City, especially in Uteunkot Village, still relies on recording SEZ using books, which has proven to be less effective. Therefore, to overcome this problem, it is necessary to develop a mobile application that can be used for recording and reporting SEZ to improve the efficiency and effectiveness of the process. This research aims to create a mobile application of SEZ e-raport so that it can be used to see the percentage obtained by malnourished people. In this study, the blackbox testing method was used to determine user satisfaction with the application, for web service testing used QoS. The level of user satisfaction reached 97.4% but from user dissatisfaction reached 2.6%. Based on QoS testing, the results obtained are 11.77/sec in response time on requests 1,10,50,100,250,500 and 1000. At users 10,50,250,500 and 1000 reached an average of 21.28/sec in response time with a request of 1 user.
Implementation of Server Up-Scaling to Improve the Performance and Reliability of the ZIS Information System Azzahari, Muhammad; Safriadi, Safriadi; Putra, Arwin; Ridha, Risky; Rozaliana, Rozaliana
Journal of Artificial Intelligence and Software Engineering Vol 5, No 4 (2025): Desember
Publisher : Politeknik Negeri Lhokseumawe

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30811/jaise.v5i4.8725

Abstract

The management of zakat, infaq, and shadaqah (ZIS) using information systems requires reliable server infrastructure to ensure system performance and service availability. The ZIS Information System experienced performance degradation and service instability due to increasing user access and system activities. This study aims to implement server up-scaling to improve the performance and reliability of the ZIS Information System. The research method employed is Research and Development (RD) using a prototyping approach. Server up-scaling was implemented by increasing server resource capacity, including memory and processor, without modifying the existing system architecture. System testing was conducted using black box testing to verify functional correctness, along with performance testing based on response time and system downtime before and after up-scaling. The results show that server up-scaling significantly reduces response time and eliminates system downtime during the testing period. Therefore, server up-scaling is proven to be an effective approach for improving the performance and reliability of web-based ZIS information systems.
Implementation of WebSocket in an IoT-Based Smart Home Door Security System Using ESP32-CAM with Face Recognition Safriadi, Safriadi; Nasir, Muhammad; Erdiansyah, Umri
Journal of Artificial Intelligence and Software Engineering Vol 6, No 1 (2026): Maret
Publisher : Politeknik Negeri Lhokseumawe

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30811/jaise.v6i1.9052

Abstract

The advancement of Internet of Things technology, especially in the field of information technology, opens up opportunities in the development of smarter, more efficient, and flexible home security systems. Frequently used systems such as fingerprints and RFID still have limitations in flexibility, scalability, and effectiveness against threats. To overcome these problems, an IoT-based home door security system was developed using ESP 32 - CAM and face recognition technology. This system utilizes the Haar Cascade Classifier algorithm for face detection and the Local Binary Pattern Histogram for face recognition. Test results show a fast response, communication stability, and an increase in accuracy of 66.07% with 10 datasets, 86.07% with 50 datasets, and 93.03% with 100 datasets. This shows that the more datasets used, the higher the system's accuracy in recognizing user faces.
Co-Authors Andika Andika Anwar Anwar Ardi Ardi Ashar Prawitno, Ashar Azzahari, Muhammad Chawash, Muhhabbir Elfizar, Elfizar Firmansyah Rachman Hardyaningwati, Hardyaningwati Haryeni, Haryeni Hazal Fitri Hidayat, Hari Toha Hijjang, Pawannari Ibnu Hajar Iis Marsithah Indarwati Indarwati Jusmawandi, Jusmawandi Khardinata, E. Harso Khatifah LUKMAN, LUKMAN Maemunah R, Nur Atikah Hijrah mahanani, Agni Ayudha Marlina, Cut Nyak Marzuki Marzuki Mawar Mawar, Mawar Mayangsari, Riska Meirling, Andi Miranda, Miranda Muhammad Nasir Muhammad yusuf, Andi Muji Mulia Muliawati Muliawati Munanda, Allissa Naping, Hamka Nurfatimah Nurfatimah Putra, Arwin Rahmadani Rahmadani Rahmadani Rahmatullah Rahmatullah Realita Realita, Realita Ridha, Risky Ridwan Nurdin Rozaliana Rozaliana Said, Muh Basir Saifullah Saifullah Sari, Rinda Puspita Silaban, Indra Marto Sinaga, M Fadly Syahputra Syammaun, Tamalkhani Syasya, Auji Teuku Zulkhairi Triadi, Muhammad Yunus Tumpal H. S. Siregar, Tumpal H. S. Umri Erdiansyah Widyastuti, Arini