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All Journal Jurnal Ilmiah Teknologi Informasi dan Robotika Information Technology Education Journal
Rahmatullah, Ghani Ridho
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Automotive Engineering Computer Science & IT Control & Systems Engineering Education

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Perancangan Sistem Informasi Penyewaan Aset Berbasis Framework Laravel Pada Badan Layanan Umum PKTJ Tegal Prakosa, Dzaki Putra; Musyaffa, Naufal Hanif; Rahmatullah, Ghani Ridho; Bhayangkara, Aditya Ferrarin Dharma; Suci, Devi Wulan; Tsani, M. Rifqi
Jurnal Ilmiah Teknologi Informasi dan Robotika Vol. 6 No. 2 (2024): Jurnal Ilmiah Teknologi Informasi dan Robotika
Publisher : Universitas Pembangunan Nasional Veteran Jawa Timur

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33005/jifti.v6i2.147

Abstract

Dengan berkembangnya teknologi informasi dan komunikasi, kehidupan masyarakat telah mengalami banyak perubahan, termasuk cara memenuhi kebutuhan masyarakat akan informasi dan komunikasi. PKTJ Tegal merupakan instansi Badan Layanan Umum (BLU) di bawah naungan kementerian perhubungan yang menyediakan berbagai layanan seperti penyewaan fasilitas kampus. Model pengelolaan Badan Layanan Umum (BLU) harus memberikan kemudahan dan fleksibilitas guna meningkatkan pelayanan kepada masyakarat dalam upaya meningkatkan kesejahteraan umum dan pendidikan kehidupan berbangsa. Observasi menunjukkan bahwa sistem informasi penyewaan yang ada kurang efektif, dengan proses yang tidak terorganisir dan publikasi yang kurang luas. Penelitian ini bertujuan untuk merancang dan membangun sistem informasi berbasis web menggunakan metode waterfall untuk meningkatkan efisiensi dan efektivitas layanan. Hasil penelitian menunjukkan bahwa sistem baru memberikan kemudahan dalam proses penyewaan, meningkatkan kecepatan umpan balik, serta memudahkan pemantauan dan pengelolaan data penyewaan. Sistem ini diimplementasikan menggunakan PHP dan framework Laravel, serta diuji dengan metode black box testing untuk memastikan fungsionalitas dari sistem informasi yang telah dibuat.
IoT-Based Road Blackspot Detection via GPS and Web Integration: Design, EAN-Based Risk Classification, and Field Evaluation Rahmatullah, Ghani Ridho; Tsani, Mokhammad Rifqi; Pratindy, Raka; Shofiah, Siti
Information Technology Education Journal Vol. 5, No. 2, May (2026)
Publisher : Jurusan Teknik Informatika dan Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59562/intec.v5i2.267

Abstract

Purpose – Road safety on high-traffic inter-city corridors in Indonesia remains a pressing concern, as drivers receive no real-time hazard notification when approaching zones with statistically elevated crash history. This study develops and evaluates an ESP32-based early warning system that couples GPS-derived positioning with the Equivalent Accident Number (EAN) method to issue graduated audio-visual alerts at road blackspots along the Palur–Semarang bus corridor. Design –  EAN quantifies accident severity by weighting fatalities (12), serious injuries (3), minor injuries (1), and property-damage incidents (0.5); segments exceeding the Upper Control Limit (UCL = 170,52) are designated blackspots, with coordinates stored in onboard flash memory. A SIM800L GPRS module transmits positioning data to a web-based fleet monitoring dashboard. Findings – Field evaluation across 10 GPS sampling points yielded mean errors of 0.00033% for latitude (3.7 m) and 0.00005% for longitude (5.0 m), with maximum deviations of 8.9 m and 17.8 m—both within the 800 m geofencing radius. All 10 from 64 validated corridor zones returned EAN values of 199,5–668,5, each exceeding the UCL, with web-platform outputs matching manual calculations exactly. Eight integrated test scenarios confirmed three-tier audio-visual alert delivery at 800 m, 400 m, and 100 m thresholds with zero missed triggers and zero spurious activations. Research implications – These findings provide preliminary evidence for the technical feasibility of EAN-based blackspot intelligence as a driver vigilance aid; however, full-route longitudinal testing across diverse vehicles and network conditions is required before generalised deployment can be recommended. Originality – This study integrates EAN-based crash severity analysis with real-time GPS tracking in an ESP32 system to deliver tiered early warnings for road blackspots.  
Co-Authors Bhayangkara, Aditya Ferrarin Dharma Devi Wulan Suci Musyaffa, Naufal Hanif Prakosa, Dzaki Putra Pratindy, Raka Siti Shofiah Tsani, M. Rifqi Tsani, Mokhammad Rifqi