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All Journal Jurnal Elementer (Elektro dan Mesin Terapan) JUTIK : Jurnal Teknologi Informasi dan Komputer MATRIX : JURNAL MANAJEMEN TEKNOLOGI DAN INFORMATIKA
Putri Alit Widyastuti Santiary
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Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Mechanical Engineering Social Sciences

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SISTEM PENGHITUNG JUMLAH ORANG PADA PINTU MASUK OTOMATIS Putri Alit Widyastuti Santiary; I Ketut Swardika
Jurnal Teknologi Informasi dan Komputer Vol. 9 No. 4 (2023): Jurnal Teknologi Informasi dan Komputer
Publisher : LPPM Universitas Dhyana Pura

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Pembatasan jumlah orang pada suatu orang adalah salah satu upaya untuk mencegah penyebaranvirus yang terjadi pada saat covid-19 melanda seluruh dunia. Antisipasi penyebaran tersebut sampaimasih menjadi suatu kebiasaan baru pada kehidupan kita saat ini. Salah satu cara untuk membatasijumlah orang pada suatu ruangan adalah dengan menghitung jumlah orang yang masuk dan keluardari ruangan tersebut. Pada penelitian ini dirancang sebuah sistem penghitung jumlah orang padapintu masuk otomatis. Pada sistem ini RFID reader akan membaca tag RFID, jika tag sudah sesuaidengan ID yang tersimpan pada mikrokontroler maka LCD akan menampilkan nama tag tersebut.Saat objek melewati pintu masuk dan dideteksi oleh sensor infrared 1 maka mikrokontroler akanmemberikan sinyal kepada motor servo 1 untuk menutup pintu masuk sekaligus menambah jumlahorang yang ada pada ruangan dan LCD akan menampilkan jumlah orang di dalam ruangan. Saatsensor infrared 2 mendeteksi objek maka mikrokontroler akan memberikan sinyal kepada motorservo 2 untuk membuka pintu keluar dan terdapat delay 3 detik kemudian pintu keluar akan tertutupsecara otomatis.Berdasarkan hasil pengujian, RFID dapat membaca tag sampai jarak 4cm, sensorinfrared 1 mampu mendeteksi objek sampai jarak 4 cm, sensor infrared 2 mampu mendeteksi objeksampai jarak 5 cm, dan sistem dapat menampilkan jumlah orang yang berada pada ruangan secaraotomatis.
Design and implementation of IoT-based motorcycle keyless ignition and starter using RFID and Blynk Budiada, I Made; Ida Bagus Irawan Purnama; Putri Alit Widyastuti Santiary; I Ketut Swardika; I Nyoman Kusuma Wardana
Matrix : Jurnal Manajemen Teknologi dan Informatika Vol. 14 No. 3 (2024): Jurnal Manajemen Teknologi dan Informatika
Publisher : Unit Publikasi Ilmiah, P3M, Politeknik Negeri Bali

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31940/matrix.v14i3.119-127

Abstract

Motorcycles are one of the most widely used means of transportation in the community. However, this widespread usage has led to an increase in thefts, especially when motorcycles are not equipped with adequate security systems. Statistical data shows that motorcycles have the highest theft rate compared to other vehicles. To address this issue, an enhanced security system is necessary. This study proposes the use of Radio Frequency Identification (RFID) sensor and the Blynk application to provide additional security for motorcycles. The RFID system will only be accessible using the motorcycle owner's e-KTP (electronic Indonesian Identity Card) or other registered cards to start the vehicle. Additionally, the Blynk mobile application allows for vehicle control (ON and OFF) via Wi-Fi and provides real-time monitoring of the vehicle's status. This application enables motorcycle activation remotely via Wi-Fi, with a range of approximately 10 meters. Meanwhile, there is a 4-second delay to start the motor starter using e-KTP. Test results indicate that this IoT-based keyless ignition and starter system is effective in enhancing motorcycle security. With this system, motorcycles have a dual-layer security mechanism to minimize theft attempts.
IMPLEMENTASI CCTV UNTUK PEMANTAUAN KEAMANAN DI PURA DALEM DESA ADAT DEMULIH, KECAMATAN SUSUT, KABUPATEN BANGLI-BALI Putri Alit Widyastuti Santiary; Dewa Ayu Indah Cahya Dewi; I Nyoman Mudiana; I Ketut Swardika
Jurnal Teknologi Informasi dan Komputer Vol. 10 No. 3 (2024): Jurnal Teknologi Informasi dan Komputer
Publisher : LPPM Universitas Dhyana Pura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36002/jutik.v10i3.3459

Abstract

Desa Adat Demulih, merupakan sebuah desa yang ada di Kecamatan Susut, Kabupaten Bangli, Bali.Kekhususan dari desa adat adalah memiliki pura kahyangan tiga, yaitu Pura Desa, Pura Puseh, danPura Dalem. Pura Dalem Desa Adat Demulih seperti halnya pura pada umumnya memiliki bendasakral yang perlu dijaga. Sebagai upaya dalam peningkatan keamanan wilayah pura, maka perluadanya sistem keamanan terpadu dimana terdapat peralatan CCTV (Closed-Circuit Television),internet dan aplikasinya serta patroli pecalang adat. Sistem pemantauan keamanan lingkunganmenggunakan CCTV merupakan solusi efektif untuk meningkatkan keamanan di suatu area, sepertilingkungan perumahan, perkantoran, tempat beribadah, dan tempat umum lainnya. Sistem inibekerja dengan memanfaatkan kamera CCTV yang dipasang di berbagai titik strategis untukmemantau aktivitas di sekitarnya secara real-time. Pura merupakan tempat ibadah yang sangatpenting bagi umat Hindu, dimana nilai-nilai spiritual dan budaya dijunjung tinggi. Keamanan puramenjadi aspek yang sangat vital untuk memastikan ketenangan dan kenyamanan umat yangberibadah, serta melindungi pura dari ancaman pencurian. Salah satu teknologi yang dapatdiandalkan untuk meningkatkan keamanan pura adalah penggunaan CCTV.
Design and implementation of IoT-based motorcycle keyless ignition and starter using RFID and Blynk Budiada, I Made; Ida Bagus Irawan Purnama; Putri Alit Widyastuti Santiary; I Ketut Swardika; I Nyoman Kusuma Wardana
Matrix : Jurnal Manajemen Teknologi dan Informatika Vol. 14 No. 3 (2024): Matrix: Jurnal Manajemen Teknologi dan Informatika
Publisher : Unit Publikasi Ilmiah, P3M, Politeknik Negeri Bali

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31940/matrix.v14i3.119-127

Abstract

Motorcycles are one of the most widely used means of transportation in the community. However, this widespread usage has led to an increase in thefts, especially when motorcycles are not equipped with adequate security systems. Statistical data shows that motorcycles have the highest theft rate compared to other vehicles. To address this issue, an enhanced security system is necessary. This study proposes the use of Radio Frequency Identification (RFID) sensor and the Blynk application to provide additional security for motorcycles. The RFID system will only be accessible using the motorcycle owner's e-KTP (electronic Indonesian Identity Card) or other registered cards to start the vehicle. Additionally, the Blynk mobile application allows for vehicle control (ON and OFF) via Wi-Fi and provides real-time monitoring of the vehicle's status. This application enables motorcycle activation remotely via Wi-Fi, with a range of approximately 10 meters. Meanwhile, there is a 4-second delay to start the motor starter using e-KTP. Test results indicate that this IoT-based keyless ignition and starter system is effective in enhancing motorcycle security. With this system, motorcycles have a dual-layer security mechanism to minimize theft attempts.
Rancang Bangun Penerjemah BISINDO Real-time Berbasis Kamera dan Deep Learning dengan Kendali Suara ESP32 WiFi I Gusti Agung Made Yoga Mahaputra; Putri Alit Widyastuti Santiary; I Ketut Swardika
Jurnal ELEMENTER (Elektro dan Mesin Terapan) Vol 11 No 1 (2025): Jurnal Elektro dan Mesin Terapan (ELEMENTER)
Publisher : Politeknik Caltex Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35143/elementer.v11i1.6578

Abstract

Indonesian Sign Language (BISINDO) serves as the primary means of communication for the deaf community. However, limited public understanding and the lack of practical real-time translation technology remain significant barriers to effective two-way communication. Most prior research has focused on foreign sign languages or relied on sensor-based gloves, which are less flexible for everyday use. This study proposes a real-time BISINDO translation system that converts hand gestures into speech using a camera and an ESP32 microcontroller. The system employs a CNN-LSTM deep learning model implemented in Python to classify gestures representing letters A to J, then wirelessly transmits the classification results to the ESP32, which triggers the corresponding audio output. A custom gesture dataset was collected and enhanced through preprocessing and data augmentation to support model training. Evaluation results demonstrate a classification accuracy of 91.4%, with a precision of 89.7%, recall of 90.5%, and F1-score of 89.9%. The average communication latency was recorded at 3.1 seconds, and the speech output success rate reached 86.7%. The system has proven reliable for real-time automatic gesture-to-speech translation and holds potential for further development as an inclusive communication aid for individuals with hearing impairments in Indonesia. This study serves as an initial foundation for future advancements in assistive communication technologies.
Co-Authors Budiada, I Made Dewa Ayu Indah Cahya Dewi I Gusti Agung Made Yoga Mahaputra I Ketut Swardika I Nyoman Kusuma Wardana I Nyoman Mudiana Ida Bagus Irawan Purnama