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Journal : Journal Of Artificial Intelligence And Software Engineering

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.