Implementation of Security Features with JSON Web Tokens and Geo-tagging Features in Web Service Training From Home Applications

In the Covid-19 pandemic phase, some business processes were halted, adapted, and modified to deal with the policy of social restrictions. This impact is experienced by all levels of society, including athletes who are forced to do training from home (Training From Home). Performance evaluation of athletes who do exercises from home must be able to be evaluated remotely, including in terms of presence during the exercise training program. Presence is one of the benchmarks of a person's level of performance or activity in terms of accuracy and discipline in a program of activities. Attendance activities in the form of check-in must be ensured safe and accurate, especially if there is data connectivity with the webserver. This study aims to implement security features with JSON Web Token (JWT) based on the 256 Hash algorithm. The research also implements geo-tagging features to obtain accurate coordinates based on location points. Athlete attendance data obtained by the presence of these features are then synchronized via web service using the REST architecture. All stages of implementation are then tested by the Black Box method, and the results show that JSON Web Token (JWT) is able to secure the authentication and data security process, while the Geo-tagging feature is capable of sending accurate position data. Testing the functionality of the web service shows that all features work well within 44.8 ms, while the positioning accuracy of the geo-tagging feature reaches an accuracy of 90.9%.
Dalam fase pandemi Covid-19, beberapa proses bisnis menjadi terhenti, mengalami adaptasi dan modifikasi untuk menghadapi kebijakan pembatasan sosial. Dampak ini dialami oleh seluruh lapisan masyarakat termasuk bagi para atlet yang terpaksa harus melakukan latihan dari rumah (Training From Home). Penilaian kinerja atlet yang melakukan latihan dari rumah, harus dapat dievaluasi dari jarak jauh, termasuk dalam hal presensi selama melakukan program latihan olahraga. Presensi merupakan salah satu tolak ukur dari tingkat kinerja atau keaktifan seseorang dalam hal ketepatan dan kedisiplinan di suatu program kegiatan. Kegiatan presensi berupa check-in harus dipastikan aman dan akurat terutama bila terdapat konektifitas data dengan web server. Tujuan penelitian ini adalah mengimplementasi fitur keamanan dengan JSON Web Token (JWT) berbasis algoritma Hash 256 Penelitian juga melakukan implementasi fitur geo-tagging untuk mendapatkan titik lokasi berbasis koordinat yang akurat. Data presensi atlet yang didapatkan dengan adanya fitur-fitur tersebut kemudian disinkronisasi melalui web service menggunakan arsitektur REST. Seluruh tahap implementasi kemudian diuji dengan metode Black Box, dan hasil menunjukkan bahwa JSON Web Token (JWT) mampu mengamankan proses autentikasi dan pengamanan data, sementara fitur Geo-tagging mampu mengirimkan data posisi yang akurat. Pengujian fungsionalitas pada web service menunjukkan bahwa seluruh fitur bekerja dengan baik dalam waktu 44.8 ms, sementara ketepatan posisi dari fitur geo-tagging mencapai akurasi sebesar 90,9%.