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Pembuatan Mobile Apps Berbasis Android dengan Memanfaatkan Geolokasi untuk Pengawasan Proses Belajar Siswa Tjan, Elvredo Kinsey; Prasetyo, Daniel Hary; Handani, Felix
Keluwih: Jurnal Sains dan Teknologi Vol. 2 No. 1 (2021): Keluwih: Jurnal Sains dan Teknologi (February)
Publisher : Direktorat Penerbitan dan Publikasi Ilmiah, Universitas Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24123/saintek.v2i1.4047

Abstract

Abstract-- Non-formal education often requires children to travel to have face-to-face meetings with their teachers. Meetings that take place often still use the attendance method manually by using the attendance form, thus allowing the loss of attendance form, errors in making attendance, and allowing fraud in doing attendance. Parents also cannot control the location of their children when attending meetings and do not know who the tutoring service is who is the teacher for their child. Based on these problems, a mobile application was created that can be used by students, teachers, and parents. Where the attendance process is done digitally by students by taking selfies through a smartphone camera. Teachers do not need to bother in recapitulating attendance and save time when the attendance process is carried out by students. Parents can find out the child's location, receive notifications when the child makes attendance, and download meeting attendance reports. The trial was carried out privately by providing input and seeing the output results whether it had gone well. Validation is done by conducting interviews with each user with the roles of parents, teachers, and students who have tried the system. Based on the results of trials and validation conducted with interviews, it was found that the system that has been created to supervise the student learning process is running well and helps parents in controlling face-to-face meetings between students and teachers through notifications received by parents when students make a presence, attendance reports that help teachers recap attendance data and help teachers make appointments with students easier to do. Keywords: education, attendance , mobile application, camera, notification Abstrak— Pendidikan non-formal sering kali mengharuskan anak bepergian untuk melakukan pertemuan tatap muka dengan guru mereka. Pertemuan yang berlangsung sering kali masih menggunakan metode presensi secara manual dengan menggunakan form presensi, sehingga memungkinkan terjadinya hilangnya form presensi, kesalahan dalam melakukan presensi, dan memungkinkan terjadinya kecurangan dalam melakukan presensi kehadiran. Orang tua juga tidak dapat mengontrol lokasi anak saat mengikuti pertemuan dan tidak mengetahui siapa jasa pengajar yang menjadi pengajar bagi anak mereka. Berdasarkan permasalahan tersebut dibuatkan sebuah aplikasi mobile yang dapat digunakan siswa, guru, dan orang tua. Dimana proses presensi dilakukan secara digital oleh siswa dengan mengambil foto selfie melalui kamera smartphone. Guru tidak perlu repot dalam melakukan rekapitulasi presensi kehadiran dan menghemat waktu saat proses presensi dilakukan siswa. Orang tua dapat mengetahui lokasi anak, menerima notifikasi ketika anak melakukan presensi, dan mengunduh laporan presensi pertemuan. Uji coba dilakukan secara pribadi dengan memberikan inputan dan melihat hasil output apakah telah berjalan dengan baik. Validasi dilakukan dengan cara melakukan interview kepada setiap pengguna dengan peran orang tua, guru, dan siswa yang telah mencoba sistem. Berdasarkan hasil uji coba dan validasi yang dilakukan dengan interview diperoleh bahwa sistem yang telah dibuat untuk melakukan pengawasan terhadap proses belajar siswa berjalan dengan baik dan membantu orang tua dalam mengontrol pertemuan tatap muka yang dilakukan siswa dengan guru melalui notifikasi yang diterima orang tua saat siswa melakukan presensi, laporan presensi yang membantu guru dalam merekap data presensi kehadiran dan membantu guru untuk membuat janji pertemuan dengan siswa menjadi lebih mudah untuk dilakukan.Kata kunci: pendidikan, presensi, aplikasi mobile, kamera, notifikasi
Rekomendasi Peralatan Camping Menggunakan Metode Complex Proportional Assesment Naufal, Mohammad Farid; Prasetyo, Daniel Hary; Ramadhan, Firman Herda
J-SAKTI (Jurnal Sains Komputer dan Informatika) Vol 6, No 2 (2022): EDISI SEPTEMBER
Publisher : STIKOM Tunas Bangsa Pematangsiantar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/j-sakti.v6i2.503

Abstract

Boss camping is a company engaged in services, namely the rental of camping equipment. Because it is engaged in goods rental services, the company uses a social media operating system to carry out its operational activities. The system is expected to make it easier to rent and provide real-time equipment information so that customers do not need to go to the rental place to check the stock of equipment to be borrowed, so as to make it easier for customers who will rent climbing equipment. In addition, this system is able to assist admins in managing data, so as to provide valid and accurate information. The decision support system was obtained using the Copras (Complex Proportional Assessment) method. The Copras method is applied in a decision support system in order to solve the problem because it is used to calculate the utility of a predetermined alternative for comparison and calculate the evaluation of the maximum and minimum criteria separately
Rekomendasi Peralatan Camping Menggunakan Metode Complex Proportional Assesment Naufal, Mohammad Farid; Prasetyo, Daniel Hary; Ramadhan, Firman Herda
J-SAKTI (Jurnal Sains Komputer dan Informatika) Vol 6, No 2 (2022): EDISI SEPTEMBER
Publisher : STIKOM Tunas Bangsa Pematangsiantar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/j-sakti.v6i2.503

Abstract

Boss camping is a company engaged in services, namely the rental of camping equipment. Because it is engaged in goods rental services, the company uses a social media operating system to carry out its operational activities. The system is expected to make it easier to rent and provide real-time equipment information so that customers do not need to go to the rental place to check the stock of equipment to be borrowed, so as to make it easier for customers who will rent climbing equipment. In addition, this system is able to assist admins in managing data, so as to provide valid and accurate information. The decision support system was obtained using the Copras (Complex Proportional Assessment) method. The Copras method is applied in a decision support system in order to solve the problem because it is used to calculate the utility of a predetermined alternative for comparison and calculate the evaluation of the maximum and minimum criteria separately
Effectiveness of Artificial Intelligence-Based Adaptive Honeypots in Cyber Threat Detection: A Systematic Literature Review and Meta-Analysis Purnama, Lukas Hadi; Prasetyo, Daniel Hary
Jurnal Sisfokom (Sistem Informasi dan Komputer) Vol. 14 No. 4 (2025): NOVEMBER
Publisher : ISB Atma Luhur

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32736/sisfokom.v14i4.2403

Abstract

This study conducted a systematic literature review and meta-analysis on using honeypot systems enhanced by artificial intelligence to improve the effectiveness of cyber threat detection in organizational environments. The review followed the PRISMA protocol and assessed 454 articles from databases, including IEEE, ACM, Emerald, and Web of Science. After a multi-stage screening process, 62 articles met the inclusion criteria and were further analyzed. The synthesis indicated that integrating artificial intelligence into honeypot systems improved detection accuracy, expanded the system’s ability to recognize varied attack patterns, and optimized resource efficiency. A meta-analysis of 36 studies revealed consistent, significant improvements in detection performance. Quantitatively, the analysis yielded a mean effect size of 0.905, indicating a substantial improvement in detection effectiveness resulting from AI integration. These findings confirm that adopting AI-based honeypot technologies is essential for addressing increasingly complex cyberattacks and for providing a foundation for future research into the development of standardized evaluation frameworks.