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Analisis Tingkat Kepuasan Mahasiswa Terhadap Kinerja Sistem Informasi Akademik Menggunakan Metode Framework CSI Fransiskus Aprilius; Bernadete Deta; Alfian Nara Weking
Jurnal Teknik Mesin, Elektro dan Ilmu Komputer Vol. 5 No. 2 (2025): Juli : Jurnal Teknik Mesin, Elektro dan Ilmu Komputer
Publisher : Lembaga Pengembangan Kinerja Dosen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/teknik.v5i2.7605

Abstract

  This study aims to identify factors that influence student satisfaction with SIA performance. The research method uses a quantitative method with data collection using a questionnaire instrument with a Likert scale. The results of the study explain that the validity test on 16 statements is declared valid because the tCount value> tTable. The results of the reliability test on the statements in the questionnaire test with a Likert scale obtained a Cronbach's Alpha value of 0.813. These results indicate that it is reliable because 0.813> 0.6. The results of the calculation of the mean of each attribute or variable are at most 13.8, 14.5, 16, 14.8, and 13.4. This result shows that it is reliable because 0.813 > 0.6. The calculation results of the mean of each attribute or variable are at most 13.8, 14.5, 16, 14.8, and 13.4. The calculation of the mean of the attribute or variable of information quality is at most 4.75, the calculation of the mean of the attribute or variable of system quality is at most 5 and 4.75, the calculation of the mean of the attribute or variable of service quality is at most 5, 4.25 and 4.75, the calculation of the mean of the attribute or variable of academic information system performance is at most 5, 4.33 and 4.67, the calculation of the mean of the attribute or variable of student satisfaction level is at most 4 and 5. The calculation of the Weighted Satisfaction Score (WSS) of student satisfaction is the most, namely 80, 75, 52, and 70. The results of the calculation of the Customer Satisfaction Index (CSI) vlue obtained the most values, namely 87, 107, 100, and 75.  
Penerapan Api Whatsapp Fonnte Untuk Sistem Pengingat Jadwal Bimbingan Tugas Akhir Mahasiswa Berbasis Web Ignasius Mario Bele Waton; Alfian Nara Weking; Bernadete Deta
Jurnal Teknik Mesin, Elektro dan Ilmu Komputer Vol. 5 No. 2 (2025): Juli : Jurnal Teknik Mesin, Elektro dan Ilmu Komputer
Publisher : Lembaga Pengembangan Kinerja Dosen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/teknik.v5i2.7614

Abstract

Abstract. This study aims to develop an automatic reminder system for undergraduate thesis guidance schedules based on web using the Fonnte WhatsApp API. Students often forget their scheduled guidance, so a system is needed to automatically send notifications. The system is built using PHP programming language and MySQL database. Notifications are sent to students' WhatsApp on D-1 and D-day through the Fonnte API. Testing was carried out with latency and response time parameters. The results show the system has an average latency of 265 ms and response time of 62 ms, with effectiveness of 163.5 ms categorized as quite effective. This system is proven to help students be more disciplined in the guidance process.