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Perancangan Keamanan Pengguna Cardless dari Ancaman Cyber Crime Menggunakan Kriptografi Curva Elliptic Nevy Bella Samantha; Senie Destya; Wahid Miftahul Ashari
JURNAL MEDIA INFORMATIKA BUDIDARMA Vol 7, No 4 (2023): Oktober 2023
Publisher : Universitas Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/mib.v7i4.6827

Abstract

In this era, technology has discovered new innovations by creating practical ways of making transactions. Cash withdrawal transactions are now much easier because a new way has been discovered, where people can make transactions without using a card. This is certainly very useful for people whose wallets are often left behind. This ease of carrying out transactions is called Cardless. Cardless itself is a cardless cash withdrawal service that offers a fast and time-saving transaction process. Apart from that, cardless cards also have several advantages, including ATM cards being safer from the risk of being swallowed or left behind by the ATM, and avoiding the risk of fraud. Like technology in general created by humans, cardless certainly also has disadvantages. This transaction has the potential for identity theft, uncontrolled spending, system compromise, and not everyone uses cardless cash withdrawal transactions due to lack of socialization of the use of cardless transactions. In this research, the researcher wants to recommend designing additional security in the m-banking application. Different from previous research, this time the researcher used the Elliptic Curve method. The subjects of this research are cardless users. The goal to be achieved in this research is that the security of the m-banking application when using cardless transactions becomes safer because the calculation of the algorithm has been added to randomize or encrypt the PIN. The function of encrypting the PIN itself is aimed at making it more difficult for criminals to successfully carry out crimes. . If the level of security is not added as recommended by the author, the bank will have to think of other ways to increase security when carrying out cardless transactions because then more customers or users will become victims. From the encryption results in this research, the PIN was previously 312143, after the encryption process was carried out, the PIN changed to DUDSDTDSDVDU. Of course, in the future technology will continue to develop and perhaps even bigger flaws will be created, but up to now Elliptic Curve cryptography is still cryptography that is difficult to solve. With so little chance that cybercrime perpetrators can break in.
Peningkatan Kompetensi Guru dan Siswa melalui Pengembangan Virtual Lab Terintegrasi untuk Pengenalan Internet of Things Muhammad Koprawi; Senie Destya; Rina Pramitasari
Jurnal Inovasi Penelitian dan Pengabdian Masyarakat Vol. 5 No. 2 (2025): Desember
Publisher : Indonesia Emerging Literacy Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53621/jippmas.v5i2.686

Abstract

Program pengabdian ini bertujuan memperkuat kemampuan guru dan siswa dalam bidang Internet of Things (IoT) melalui virtual lab yang dipadukan dengan perangkat fisik. Program dirancang untuk mengatasi keterbatasan fasilitas laboratorium di sekolah mitra, sehingga praktik IoT dapat dilakukan secara optimal. Pendekatan Participatory Action Research (PAR) diterapkan agar guru dan siswa terlibat langsung dalam pengkajian kebutuhan, perencanaan kegiatan, hingga refleksi hasil pelatihan. Pelaksanaan program melalui lima tahap: sosialisasi, pelatihan, penerapan teknologi, pendampingan dan evaluasi, serta keberlanjutan. Virtual lab digunakan sebagai langkah awal untuk memudahkan pemahaman konsep dasar sensor, aktuator, dan mikrokontroler sebelum praktik dengan ESP32 dan sensor fisik. Pendampingan teknis diberikan secara berkala agar peserta dapat menyelesaikan tantangan praktik dan meningkatkan keterampilan secara bertahap. Hasil menunjukkan peningkatan kemampuan signifikan. Sebelum pelatihan, mayoritas peserta berada pada kategori sangat rendah (40%) dan rendah (33%). Setelah pelatihan, kategori sangat rendah hilang, kategori rendah turun menjadi 20%, kategori sedang naik menjadi 47%, dan kategori tinggi serta sangat tinggi mencapai 33%. Hal ini membuktikan bahwa kombinasi virtual lab, praktik langsung, dan pendekatan PAR efektif dalam meningkatkan literasi dan keterampilan IoT di sekolah mitra.