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All Journal JIPI (Jurnal Ilmu Perpustakaan dan Informasi) Sistemasi: Jurnal Sistem Informasi MATRIK : Jurnal Manajemen, Teknik Informatika, dan Rekayasa Komputer STRING (Satuan Tulisan Riset dan Inovasi Teknologi) Jurnal Varian Jurnal Bumigora Information Technology (BITe) INAJEEE (Indonesian Journal of Electrical and Electronics Engineering) International Journal of Educational Management and Innovation (IJEMI) Lumbung Inovasi: Jurnal Pengabdian Kepada Masyarakat Best : Journal of Applied Electrical, Science and Technology Jurnal Teknik Elektro (JTE) ADMA: Jurnal Pengabdian dan Pemberdayaan Masyarakat Jurnal Pendidikan Teknik Elektro JASTEN (Jurnal Aplikasi Sains Teknologi Nasional Kanigara
Parama Diptya Widayaka
Universitas Negeri Surabaya
Arts Humanities Biochemistry, Genetics & Molecular Biology Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Library & Information Science Mathematics Nursing Physics Social Sciences Other

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Low Cost System for Face Mask Detection Based Haar Cascade Classifier Method Radimas Putra Muhammad Davi Labib; Sirojul Hadi; Parama Diptya Widayaka
MATRIK : Jurnal Manajemen, Teknik Informatika dan Rekayasa Komputer Vol. 21 No. 1 (2021)
Publisher : Universitas Bumigora

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30812/matrik.v21i1.1187

Abstract

In December 2019, there was a pandemic caused by a new type of coronavirus, namely SARS-CoV-2 (Severe Acute Respiratory Syndrome Corona Virus 2) spread almost throughout the world. The World Health Organization (WHO) named it COVID-19 (Coronavirus Disease). To minimize the spread of the COVID-19, the Indonesian government announced a policy for the social distancing of 1-2 meters and wearing a medical mask. In this study, a mask detection system was built using the Haar Cascade Classifier method by detecting the facial areas such as the nose and lips. The study aims to distinguish between using masks and on the contrary. It is expected that the mask detection system can be implemented to provide direct warnings to people who do not wear masks in public areas. The results using the Haar Cascade Classifier method show that the system designed is able to detect faces, noses, and lips at a light intensity of 80-140 lux. The face is detected at a distance of 30-120cm, while the nose is at a distance of 30-60cm, while the lips are at a distance of 30-70cm. The system designed can perform the detection process at a speed of 5 fps. The overall test results obtained a success rate of 88,89%.
Sistem Rumah Pintar Menggunakan Google Assistant dan Blynk Berbasis Internet of Things Sirojul Hadi; Puspita Dewi; Radimas Putra Muhammad Davi Labib; Parama Diptya Widayaka
MATRIK : Jurnal Manajemen, Teknik Informatika dan Rekayasa Komputer Vol. 21 No. 3 (2022)
Publisher : Universitas Bumigora

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30812/matrik.v21i3.1646

Abstract

Internet of things (IoT) merupakan topik yang banyak dikembangkan pada dekade terakhir. Pada saat ini, banyak pengembang teknologi membuat perangkat-perangkat pintar yang dapat mempermudah pekerjaan manusia. Sistem rumah pintar adalah salah satunya. Pada sistem rumah pintar, perangkatperangkat fisik dapat melakukan komunikasi melalui jaringan internet atau jaringan near cable lainnya untuk bertukar informasi atau melakukan perintah dari penghuni rumah. Agar bisa bertukar informasi maka perangkat fisik tersebut di integrasikan dengan sensor dan aktuator. Salah satu implementasi dari rumah pintar yaitu pengontrolan lampu yang dapat diaktifkan atau dinonaktifkan menggunakan perintah suara atau menggunakan gawai pengguna. Tujuan dari penelitian ini yaitu agar pengguna dapat mengontrol lampu rumah dengan menggunakan perintah suara dengan bantuan google assistant untuk mengenali kalimat yang di ucapkan oleh penghuni rumah. Metode yang digunakan dalam penelitian ini yaitu IoT. Metode komunikasi berbasis IoT memungkinkan terjadinya pertukaran data antar device. Hasil dari penelitian ini yaitu dapat dibangun sistem kontrol lampu menggunakan Blynk-Google assistant. Pada sistem tersebut telah di tambahkan fitur untuk memantau konsumsi daya listrik pengguna. Dari hasil pengujian yang dilakukan maka didapatkan hasil bahwa presentase keberhasilan dari sistem tersebut yaitu 96,667%. Keberhasilan dari sistem tersebut dipengaruhi oleh kekuatan sinyal internet dan ketepatan dalam pengucapan kata yang telah terprogram.
Analisis Respon Dinamis Buck-Boost Converter Terhadap Duty Cycle dan Beban Ma'sum, Muhamad; Firmansyah, Rifqi; Diptya Widayaka, Parama; Aulia Alamsyah, Sayyidul
JURNAL TEKNIK ELEKTRO Vol. 15 No. 1 (2026): JANUARI 2026
Publisher : Universitas Negeri Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26740/jte.v15n1.p30-37

Abstract

Penelitian ini bertujuan untuk menganalisis respon dinamis buck-boost converter terhadap variasiduty cycle dan perubahan beban. Buck-boost converter merupakan salah satu jenis konverter DC–DC yangmampu menghasilkan tegangan keluaran lebih tinggi maupun lebih rendah dari tegangan masukan melaluipengaturan nilai duty cycle. Pada penelitian ini, fokus analisis diarahkan pada dua aspek utama, yaituperubahan duty cycle sebagai parameter kontrol dan variasi beban sebagai kondisi operasional yangmemengaruhi karakteristik keluaran sistem.Pengujian dilakukan dengan menerapkan beberapa nilai duty cycle untuk mengamati perubahantegangan keluaran serta respon transien yang muncul, meliputi ripple tegangan, overshoot, undershoot, risetime, dan settling time. Selain itu, variasi beban diterapkan untuk mengevaluasi stabilitas dan kemampuankonverter mempertahankan performa dinamis pada kondisi beban ringan, sedang, dan berat. Data keluarandiperoleh melalui pengukuran langsung menggunakan perangkat akuisisi sinyal dan dianalisis untukmengetahui hubungan antara parameter kontrol dan karakteristik dinamis konverter.Hasil penelitian menunjukkan bahwa peningkatan duty cycle secara umum menghasilkan kenaikantegangan keluaran, namun juga berdampak pada perubahan respon transien, terutama pada kondisi bebanberat. Sementara itu, variasi beban berpengaruh signifikan terhadap kestabilan tegangan keluaran dan nilairipple. Kesimpulan utama menyatakan bahwa baik duty cycle maupun beban memiliki peran penting dalammenentukan performa dinamis buck-boost converter, sehingga keduanya harus dipertimbangkan dalamperancangan sistem konversi daya yang stabil dan responsif.
Comparative Analysis of Naive Bayes and Fuzzy Logic Algorithm in Fire Classification System Rismayati, Ria; Suriyati, Suriyati; Widayaka, Parama Diptya
Sistemasi: Jurnal Sistem Informasi Vol 15, No 3 (2026): Sistemasi: Jurnal Sistem Informasi
Publisher : Program Studi Sistem Informasi Fakultas Teknik dan Ilmu Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32520/stmsi.v15i3.5985

Abstract

Building fires can cause losses in several areas, including property damage, environmental pollution, loss of life, injury, and psychological trauma. Building fires can occur due to several factors such as gas leaks, short circuits, overheating electronic devices, the presence of flammable materials, and human error. In fire mitigation efforts, devices are generally used as early warnings, but their implementation is often less than optimal due to system malfunctions. Therefore, this study aims to develop an early warning system that can detect potential fires before they spread. The methods used in this study are the naïve Bayes and fuzzy logic methods, which then compare each method to determine the most effective method. The results of this study indicate that the naïve Bayes and fuzzy logic methods have successfully classified potential fires well. From 30 experimental data, the naïve Bayes algorithm produced an accuracy of 96%, while the fuzzy logic algorithm produced an accuracy of 100%. The naïve Bayes algorithm shows reliable performance in classifying extreme data while the fuzzy algorithm can detect the ‘Danger’ status even though not all parameters are in a dangerous condition.
PID-Based Position and Trajectory Control of a Four-Wheeled Omnidirectional Robot Using Robot Operating System (ROS) Mohammad Febri Duwi Prasetiyo; Parama Diptya Widayaka
INAJEEE (Indonesian Journal of Electrical and Electronics Engineering) Vol. 9 No. 1 (2026): Februari
Publisher : Department of Electrical Engineering, Faculty of Engineering, Universitas Negeri Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26740/inajeee.v9n1.p28-35

Abstract

Precise position control in omnidirectional mobile robots is essential for applications in industrial automation and competitive robotics, including the Indonesian Robot Contest (Soccer Wheeled Middle Size League Division). This study aims to develop and evaluate a position control system for a four-wheeled omnidirectional robot using a PID controller through both simulation and physical implementation within the Robot Operating System (ROS) framework. The research was conducted by designing a robot model with four omniwheels arranged at 90° angles, integrating sensor fusion using an MPU6050 gyroscope, rotary encoders, and magnetic encoders to provide real-time position feedback (x, y, θ). PID parameters were tuned using Ziegler-Nichols and trial-and-error methods and tested across five trajectory scenarios: straight line, L-pattern, square, triangle, and maneuver paths. Simulation results using ROS-Gazebo demonstrated optimal performance with 1.60% overshoot, 0.732 s rise time, 2.380 s settling time, and 0.0018 m/s steady-state error. Physical implementation revealed that trial-and-error tuning provided the most balanced performance with 0.684 s rise time, 3.29% overshoot, and 2.872 s settling time, showing better adaptability to real-world disturbances compared to the more aggressive Ziegler-Nichols response. The PID controller effectively reduced overshoot from 8.85% to 3.29% and RMSE from 0.7025 to 0.4279 m/s compared to uncontrolled operation. These findings demonstrate the effectiveness of the proposed control system in achieving accurate positioning and trajectory tracking, with strong consistency between simulation results and real-world testing results. This research contributes to quality education in robotics (SDG 4), supports innovation in industrial automation (SDG 9), and establishes a foundation for collaborative research and development in robotic systems (SDG 17).
Co-Authors Achmad, Fendi Akbar Sujiwa Alamsyah, Sayyidul Aulia Alfarid Alfarid Hendro Yuwono Amrullah, Aliefian Yonastira Andani, Tri Rejeki Anggi Rahmad Zulfikar Arwin Dermawan, Dodik Arya Pradana, Rifando Aulia Alamsyah, Sayyidul Ayusta Lukita Wardani Bastari, Winarno Fadjar Bonda Sisephaputra Dewi, Puspita Endryansyah . . Farid Baskoro fikri firmansyah Handini Novita Sari Hirkham Prayoga I Gusti Putu Asto Buditjahjanto I Made Wartana Ikhsan, Taj Hakam Ilham Dwi Christanto Imam Nawawi, Imam Imron Zainuddin Lapi Indah Trisanti, Rosalia Irmalia Suryani Faradisa Jauhari, Lutfi Khairan marzuki Laili, Ifa Nirmala Lilik Anifah Lutfi Jauhari M. Ibrahim Ashari M. Ibrahim Ashari Ma'sum, Muhamad Maimunir, Fajar Makmun Mardiono Mardiono MARIA BINTANG Meini Sondang Sumbawati Moch. Fahmy Rizki Rizaldy Mohammad Febri Duwi Prasetiyo Muhammad Adam Akbar Ni Putu Agustini Ni Putu Agustini Novia Restu Windayani Nur Kholis Permata Dewata, Aqsal Renaldi Pradini Puspitaningayu Puput Wanarti Rusimamto Putra, Rahardian Ananda Radimas Putra M.D.L Radimas Putra Muhammad Davi Labib Reza Diharja Reza Diharja Reza Diharja Rifqi Firmansyah, Rifqi Rina Harimurti Rismayati, Ria Rizaldy, Farhan Ari Rizky Herdiansyah Palma, Ryan Rochmawati, Naim Ronggo Alit RR. Ella Evrita Hestiandari Setiabudi, Arif Sirojul Hadi SULISTIYO, EDY Suriyati ., Suriyati Tjahjaningtijas, Raden Roro Hapsari Peni Agustin Wahyudi, Muhammad Fikri Thohri Wildan Habibi, Mohammad Zuhayr Achmad, Ibrohim Zulfikar Zauzi Zulfikar Zauzi