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All Journal JSW (Jurnal Sosiologi Walisongo) Jurnal Neo Societal Scholaria: Jurnal Pendidikan dan Kebudayaan Techne : Jurnal Ilmiah Elektroteknika Jurnal Elektronika dan Telekomunikasi Jurnal Mantik Journal of Data Science and Its Applications Jurnal Pengabdian kepada Masyarakat Nusantara
Atyanta Nika Rumaksari
Universitas Kristen Satya Wacana
Arts Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Social Sciences Other

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Journal : Techne : Jurnal Ilmiah Elektroteknika

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Vehicle Classification using IPCP and EsKNN Algorithm for Surveillance Camera Atyanta Nika Rumaksari
Techné : Jurnal Ilmiah Elektroteknika Vol. 18 No. 1 (2019)
Publisher : Fakultas Teknik Elektronika dan Komputer Universitas Kristen Satya Wacana

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1145.372 KB) | DOI: 10.31358/techne.v18i01.181

Abstract

This paper presents a new approach vehicles detection and classification. In these works, we are creating a system to detect the vehicles and automatically classifying them into three desired classes as Car, Suv, and Truck. Datasets from changedetect.net were used for testing the method. The proposed approach combine Incremental Principle Component Pursuit (IPCP) background subtraction for vehicle detection and it complies with Ensemble subspace -Nearest Neighbor (EsKNN) classifier. A combination of background subtraction and classification of filtering background is used in order to focus on vehicle’s features extraction using HOG corner detections. Then, this feature extraction is classified using an ensemble-based classifiers technique. The choice of classifier depends on features data characteristics, which they were formed in certain unique distance shape stationary relative between classes. The proposed method is evaluated using three datasets of common highway surveillance video. Comparing with other direct detection and classification technique our method has achieved outstanding result. The proposed approach delivers the accuracy 96.5%, the highest among the tested methods. Experimental results show the outstanding performance of the proposed method.
Perancangan Sistem Pemantau Ruang Server Secara Realtime dan Otomatis Kevin; Utomo, Darmawan; Rumaksari, Atyanta Nika
Techné : Jurnal Ilmiah Elektroteknika Vol. 22 No. 2 (2023)
Publisher : Fakultas Teknik Elektronika dan Komputer Universitas Kristen Satya Wacana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31358/techne.v22i2.344

Abstract

Ruang server adalah ruangan yang memiliki standar khusus untuk menjaga hardware di dalam ruangan tersebut agar tetap beroperasi dengan aman. Salah satu contoh faktor yang telah dikerjakan pada ruang server adalah membaca suhu ruangan secara online. Tujuan penelitian ini adalah untuk memperluas tipe informasi dengan pengukuran suhu, iluminasi cahaya, tekanan udara, daya terpakai, dan kelembapan ruangan, tanpa perlu mendatangi ruangan. Pengguna juga mendapat sistem peringatan dini yang realtime saat kondisi ruangan dinilai berbahaya/berisiko/mengkhawatirkan. Alat ini dirancang dengan ESP32 sebagai pusat kendali dari sensor-sensor yang terhubung, BME280 sebagai pembaca indikator untuk suhu, kelembapan, ketinggian, dan tekanan, PZEM004T sebagai pembaca indikator daya, arus, dan tegangan, sedangkan untuk pembacaan indikator cahaya menggunakan Light Dependent Resistor. Data yang terkumpul selanjutnya diunggah ke Cloud, yaitu Ubidots. Secara keseluruhan sistem pemantau ini memiliki ralat sistem sebesar 2,35 % dan waktu tanggap realtime maksimum berdasarkan pengukuran ping sebesar 300 ms.
Co-Authors Adhi Dharma Wibawa Adri Gabriel Sooai Budihardja Murtianta Darmawan Utomo Fanani, Nurul Zainal Gloria Song Abimanyu Gunawan Dewantoro Hartanto Kusuma Wardana Kevin Khamid Khamid Lukas Bambang Setyawan Mauridhi Hery Purnomo Meganathan, Hizkia Christian Murtianta, Budihardja Nasution, Ali Napiah Putri Hergianasari Risal, Semuel Rizki Amalia Yanuartha Surya Sumpeno