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All Journal SinarFe7 Jurnal Riset Rumpun Ilmu Sosial, Politik dan Humaniora (JURRISH)
Zaenal Fatah
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Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Environmental Science Social Sciences

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RANCANG BANGUN GRAPHICAL USER INTERFACE PERGERAKAN MOTOR DC PADA UNIVERSAL SERIAL BUS MIKROSKOP DIGITAL Endi Permata; Rocky Alfanz; Zaenal Fatah
SinarFe7 Vol. 1 No. 1 (2018): Sinarfe7-1B 2018
Publisher : FORTEI Regional VII Jawa Timur

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Abstract

Penelitian ini menjelaskan suatu perangkat sistem untuk mendiagnostik malaria dengan mudah, sehingga diharapkan dengan pengaplikasian sistem diagnostik malaria dengan mikroskop tersebut dapat menurunkan tingkat penyakit malaria di dunia terutama Indonesia. Hasil penelitian yang diperoleh yaitu USB Mikroskop Digital dapat memposisikan sel darah tipis malaria dengan tambahan lensa okuler pembesaran 1:100x sehingga dapat menganalisa fase malaria. Kecepatan motor DC dipengaruhi oleh dua faktor yaitu tegangan masukan dari adaptor AC–DC dan pengaturan PWM (Pulse Width Modulation). Untuk kecepatan range tegangan yang aman 7,5 V sampai dengan angka maksimal 12,5 V dan hasil akhir pada tegangan maksimal yang digunakan adalah 12,5 V. Sedangkan untuk pengaturan PWM yang digunakan yaitu 255 PWM. USB Mikroskop Digital memiliki arah pergerakan yaitu pada motor bagian kiri dan kanan bergerak ke arah Kanan – Kiri – Maju – Mundur. Sedangkan pada motor bagian tengah bergerak ke arah Atas dan Bawah.
Evaluasi Kebijakan Face Recognition bagi Pengguna Kereta Api di Stasiun Surabaya Gubeng Raditya Adi Kartika; Sri Kamariyah; Zaenal Fatah
Jurnal Riset Rumpun Ilmu Sosial, Politik dan Humaniora Vol. 3 No. 2 (2024): Juli : JURRISH: Jurnal Riset Rumpun Ilmu Sosial, Politik dan Humaniora
Publisher : Pusat Riset dan Inovasi Nasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/jurrish.v3i2.5826

Abstract

This study evaluates the policy implementation of the face recognition system at Surabaya Gubeng Station as a digital innovation in public service by PT Kereta Api Indonesia (Persero). Using a qualitative approach and the policy evaluation model by William N. Dunn, the study assesses six key indicators: effectiveness, efficiency, adequacy, responsiveness, accuracy, and equity. The findings indicate that the system is effective in accelerating the boarding process, reducing queues, and improving passenger convenience. Efficiency is achieved through reduced staff workload and automated identity verification. However, several challenges remain, including technical disruptions, data input errors, and low digital literacy among users. Personal data protection is also a concern as most users are not fully aware of how their biometric data is managed. Therefore an adaptive governance strategy is needed, involving infrastructure improvement, staff training, public education, and greater transparency in data policy. With these measures, the face recognition system can serve not only as a tool for technical efficiency but also as a form of inclusive and sustainable public service transformation.
Co-Authors Endi Permata Raditya Adi Kartika Rocky Alfanz Sri Kamariyah