Sistem Notifikasi Suspect Data AWS Center dengan Penyaringan Tanggung Jawab Stasiun Berbasis Push Notification
-
Rio Bintang Samudra Silalahi
*
Sekolah Tinggi Meteorologi Klimatologi dan Geofisika, Tangerang,
Indonesia
- Kanton Lumban Toruan Sekolah Tinggi Meteorologi Klimatologi dan Geofisika, Tangerang, Indonesia
- Iqbal Iqbal Sekolah Tinggi Meteorologi Klimatologi dan Geofisika, Tangerang, Indonesia (*) Corresponding Author
Abstract
Monitoring the data quality of automatic weather station (AWS) instruments in the AWS Center system still relies on manual inspection of a web dashboard, leaving the time at which technicians receive suspect data information unmeasured and potentially delayed. This study designs and builds the AWSCenter Notif mobile application, which filters suspect data according to each user’s assigned station and delivers it through push notifications, and then measures the conformity and timeliness of that delivery. The system was developed using the Rapid Application Development method with React Native, Cloud Functions, Cloud Firestore, and Expo Push Service, with data synchronisation every five minutes and notification checks every ten minutes. Testing was conducted in three stages, namely black box functional testing of 11 scenarios, user experience testing using the User Experience Questionnaire with 12 technician respondents, and a conformity and latency test on 62 units of analysis recorded independently from two sides at Tanjung Harapan Meteorological Station. All functional scenarios passed and all six User Experience Questionnaire scales reached the Excellent category. All flag information was delivered completely and accurately relative to the source, with system latency consistently remaining below the designed theoretical upper bound. Most of the delay originated from the source server side beyond the system's control, so shortening the scheduling interval would not accelerate information delivery. The contributions of this study are a notification filtering mechanism based on the mapping of instruments to the station each technician is responsible for, its implementation as an active notification layer placed on top of an operational quality control system without altering that system, and a four-timestamp measurement framework that makes the time of information receipt measurable.
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