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All Journal Jurnal Teknimedia: Teknologi Informasi dan Multimedia Jurnal Pengabdian Masyarakat
Hanifatus Sa’diyah Widihasaniputri
Universitas Muhammadiyah Purworejo
Humanities Computer Science & IT Control & Systems Engineering Education Engineering Languange, Linguistic, Communication & Media Public Health Other

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INOVASI PENGHITUNGAN KENDARAAN PADA MANAJEMEN PARKIR DENGAN SENSOR INFRARED BERBASIS IOT Hanifatus Sa’diyah Widihasaniputri; Wahju Tjahjo Saputro; Hamid Muhammad Jumasa
TEKNIMEDIA: Teknologi Informasi dan Multimedia Vol. 6 No. 2 (2025): Desember 2025
Publisher : Badan Penelitian dan Pengabdian Masyarakat (BP2M) STMIK Syaikh Zainuddin NW Anjani

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46764/teknimedia.v6i2.280

Abstract

Traffic and parking management are still major issues in urban areas. The average driver spends 7.8 minutes to find a parking space, and 30% of traffic congestion is caused by finding a parking space.This research focuses on designing a system that adopts infrared sensors and IoT to detect the number of vehicles in a smart parking system.The method used is the prototype method. The process starts with activating the device to monitor vehicles entering and leaving the parking area. Next, the detected vehicles will be checked, if the vehicle enters then the system automatically reduces the number of available parking slots. Conversely, if the vehicle exits, the system adds one slot to the number of available parking slots. the results of component testing carried out, found that all components, including infrared sensors, PIR sensors, LCDs, servo motors, and Arduino Uno R3 microcontrollers, have functioned properly. This is supported by the average system response delay test which only reaches 1.50 seconds and is included in the responsive category for smart parking systems
INOVASI PENGHITUNGAN KENDARAAN PADA MANAJEMEN PARKIR DENGAN SENSOR INFRARED BERBASIS IOT Hanifatus Sa’diyah Widihasaniputri; Wahju Tjahjo Saputro; Hamid Muhammad Jumasa
TEKNIMEDIA: Teknologi Informasi dan Multimedia Vol. 6 No. 2 (2025): Desember 2025
Publisher : Badan Penelitian dan Pengabdian Masyarakat (BP2M) STMIK Syaikh Zainuddin NW Anjani

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46764/teknimedia.v6i2.280

Abstract

Traffic and parking management are still major issues in urban areas. The average driver spends 7.8 minutes to find a parking space, and 30% of traffic congestion is caused by finding a parking space.This research focuses on designing a system that adopts infrared sensors and IoT to detect the number of vehicles in a smart parking system.The method used is the prototype method. The process starts with activating the device to monitor vehicles entering and leaving the parking area. Next, the detected vehicles will be checked, if the vehicle enters then the system automatically reduces the number of available parking slots. Conversely, if the vehicle exits, the system adds one slot to the number of available parking slots. the results of component testing carried out, found that all components, including infrared sensors, PIR sensors, LCDs, servo motors, and Arduino Uno R3 microcontrollers, have functioned properly. This is supported by the average system response delay test which only reaches 1.50 seconds and is included in the responsive category for smart parking systems
Peningkatan Kapasitas Karang Taruna melalui Edukasi Smart Farming Berbasis Artificial Intelligence Hanifatus Sa’diyah Widihasaniputri; Hamid Muhammad Jumasa; Varenshin Bebbil Kometo
Jurnal Pengabdian Masyarakat - PIMAS Vol. 5 No. 3 (2026): Agustus
Publisher : LPPM Universitas Harapan Bangsa Purwokerto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35960/pimas.v5i3.2524

Abstract

Karang Taruna Sedayu sebagai organisasi kepemudaan yang aktif dalam budidaya aloe vera masih mengelola pertanian secara konvensional tanpa pemanfaatan teknologi digital. Rendahnya literasi teknologi, khususnya terkait smart farming dan Artificial Intelligence (AI), menjadi kendala dalam meningkatkan efisiensi dan produktivitas pengelolaan tanaman. Kegiatan pengabdian ini bertujuan meningkatkan kapasitas dan literasi teknologi anggota Karang Taruna melalui edukasi smart farming berbasis AI. Metode pelaksanaan dilakukan secara partisipatif melalui observasi lapangan, edukasi konseptual di lahan, demonstrasi sistem di kelas, serta evaluasi menggunakan pre-test dan post-test terhadap 15 peserta. Hasil evaluasi menunjukkan peningkatan rata-rata skor dari 56 menjadi 81,6 dengan kenaikan sebesar 25,6 poin atau 45,7%. Peningkatan tertinggi terjadi pada pemahaman peran AI dalam pertanian dan keyakinan penerapan teknologi pada budidaya aloe vera. Kegiatan ini menunjukkan bahwa pendekatan edukatif dan kontekstual efektif dalam meningkatkan literasi teknologi dan membangun kesiapan adopsi smart farming pada tingkat komunitas, sehingga berpotensi mendorong transformasi pertanian yang lebih efisien dan berkelanjutan
Co-Authors Jumasa, Hamid Muhammad Varenshin Bebbil Kometo Wahju Tjahjo Saputro