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Perancangan Safety Lock pada Brangkas Uang Berbasis Arduino Uno dengan QR Scanner GM 65 dan Sensor Fingerprint AS608 Alvin Zuhair; Antika Prasetyaningtyas; Muhammad Syukron; Kukuh Trisna Pambudia; Faisal Hafizh Purnomo
JASIEK (Jurnal Aplikasi Sains, Informasi, Elektronika dan Komputer) Vol. 7 No. 2 (2025): Desember 2025
Publisher : Universitas Merdeka Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26905/jasiek.v7i2.16276

Abstract

As crime rates rise and technology advances, security systems are becoming an essential necessity to protect assets and valuables. Conventional locks, which are easy to break into, lose, and duplicate, are no longer effective in maintaining security. As a solution, digital access systems such as the GM65 QR Code Sensor and AS608 fingerprint sensor are used to secure safes. Both technologies offer more practical, secure, and efficient access compared to conventional locks. The Sensor high performance in reading QR Codes, while the fingerprint sensor provides a permanent level of security, although it has limitations in wet or dusty conditions. The experimental results show that the success of opening the safe is influenced by the clean condition of the fingerprint and the proper distance of the barcode sensor. This research aims to improve the effectiveness of security systems by incorporating digital technology to prevent unauthorized access and protect valuable data.
Optimalisasi Chat GPT dan Canva AI sebagai Asisten Cerdas Guru Dalam Penyusunan Media Ajar Muhamad Maksum Hidayat; Muhammad Syukron; Alvin Zuhair; Kukuh Trisna Pambudi; Antika Prasetyaningtyas; Muhammad Ichwandar Akrianto; Ahmad Nugroho
Comunitario: Jurnal Pengabdian Masyarakat Vol. 1 No. 2 (2025): Desember
Publisher : CV. Biha Cendekia

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Abstract

In the digital era, teachers are required to produce creative and relevant teaching materials quickly. However, many teachers in rural areas, such as in Candimulyo District, still rely on manual methods that are time-consuming due to a lack of familiarity with modern technology. This community service aums to optimize the use of Artificial Intelligence (AI), specifically ChatGPT and Canva AI, as “smart assistans” to help teachers streamline their workload. The methods employed was a workshop with a hands-on training approach, guiding teachers to use AI for drafting lesson plans and designing visual media. The activity was attended by 30 teachers from LP Ma’arif. The evolution results showed a significant increase in competence. The average cognitive score rose from 83.33 (pre-test) to 100.00 (post-test) with an N-Gain of 0.48 (Medium Category). Furthermore, participants responded positively (score 4.19/5.00) regarding their ability to use these tools technically. It can be concluded that ChatGPT and Canva AI are effective in serving as smart assistants that increase teachers productivity and creativity in developing teaching materials.
Analisis Kinerja Relai Diferensial Pada Transformator Daya 60 MVA Gardu Induk Sanggrahan Muhammad Hafizh Haqiqi; Agung Trihasto; Andriyatna Agung Kurniawan; Muhammad Syukron
Jurnal Teknik Elektro dan Komputasi (ELKOM) Vol. 8 No. 2 (2026): Jurnal Teknik Elektro dan Komputasi (ELKOM)
Publisher : Universitas Muhammadiyah Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32528/elkom.v8i2.6353

Abstract

Transformator daya merupakan peralatan utama dalam sistem tenaga listrik yang memerlukan sistem proteksi yang andal untuk menjaga kontinuitas dan keamanan penyaluran energi listrik. Pada transformator daya 60 MVA Unit 4 Gardu Induk 150 kV Sanggrahan, hasil asesmen Through Fault Current (TFC) menunjukkan kondisi waspada sehingga diperlukan evaluasi terhadap kinerja rele diferensial sebagai proteksi utama transformator. Penelitian ini bertujuan menganalisis kinerja rele diferensial melalui perbandingan antara setting eksisting dan setting hasil perhitungan teoritis menggunakan perangkat lunak ETAP 21.0.1. Metode penelitian meliputi perhitungan parameter setting rele diferensial berdasarkan data teknis transformator dan CT serta simulasi kondisi normal, gangguan di dalam zona proteksi, dan gangguan di luar zona proteksi menggunakan ETAP 21.0.1. Hasil perhitungan teoritis diperoleh nilai arus setting sebesar 0,0962 A, arus restrain 0,8179 A, Slope 1 sebesar 11,76%, dan Slope 2 sebesar 23,52%, sedangkan setting eksisting yang digunakan pada rele diferensial yaitu arus setting sebesar 0,3 A, arus restrain sebesar 4 A, Slope 1 sebesar 30%, dan Slope 2 sebesar 80%. Hasil simulasi menunjukkan kedua setting rele diferensial bekerja pada seluruh gangguan di dalam zona proteksi berupa hubung singkat tiga fasa, dua fasa, dan satu fasa ke tanah, serta tetap stabil pada kondisi normal maupun gangguan di luar zona proteksi. Perbedaan nilai setting tersebut disebabkan oleh pertimbangan kondisi aktual sistem, seperti arus inrush, arus eksitasi transformator, kesalahan CT, kesalahan sadapan, mismatch, dan faktor keamanan sesuai standar PLN. Hasil simulasi menunjukkan bahwa setting rele diferensial eksisting yang digunakan telah mampu memberikan proteksi yang baik terhadap transformator daya.