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Kapasitas Penyimpan Daya Yang Dibutuhkan Photovoltaic 100 Wp Monocrystalline Yang Dioperasikan Di Daerah Cilegon-Banten Ni Ketut Caturwati; Romi Wiryadinata; Firda Andini
FLYWHEEL : Jurnal Teknik Mesin Untirta Volume V Nomor 1, April 2019
Publisher : Universitas Sultan Ageng Tirtayasa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36055/fwl.v0i0.5199

Abstract

Pemanfaatan energy surya di daerah remote area adalah suatu hal yang makin hari makin dibutuhkan mengingat makin banyak peralatan yang dibutuhkan manusia yang menggunakan energy listrik dalam pengoperasiannya, sebaliknya tidak semua daerah yang memiliki suplai jaringan listrik, misalnya daerah laut , pesisir pantai maupun daerah-daerah terpencil lainnya. Indonesia merupakan daerah yang mendapatkan sinar matahari berlimpah sepanjang massa, namun konversi energy surya menjadi energy listrik sangat bergantung pada letak geografis, cuaca dan lingkungan tempat sel surya dioperasikan. Guna mengetahui potensi pembangkitan listrik dengan sel surya dilakukan pengujian dengan menggunakan sel surya monokristalin 100 Wp dengan waktu pengujian dari jam 07.30-16.30 WIB di halaman kampus Fakultas Teknik Cilegon pada  tanggal 20 Mei 2018 – hingga 1 Juli 2018. Hasil pengamatan menunjukkan produksi listrik yang dihasilkan perhari per meter persegi luas permukaan didaerah tersebut mencapai nilai rata-rata 0,69 kWh/hari/m2. Sedangkan nilai maksimum yang mungkin dicapai adalah sebesar 1,062 kWh/hari/m2. Sehingga kebutuhan baterai terpasang untuk menampung produksi DAYA listrik yang dihasilkan perhari adalah baterai 12 V dengan kapasitas 62 Ah.
SISTEM DETEKSI OTOMATIS CORONAVIRUS DISEASE (COVID-19) MENGGUNAKAN GAMBAR CHEST X-RAY DENGAN JETSON NANO Rian Fahrizal; Romi Wiryadinata; Alief Maulana
Setrum : Sistem Kendali-Tenaga-elektronika-telekomunikasi-komputer Vol 9, No 2 (2020): Edisi Desember 2020
Publisher : Fakultas Teknik Elektro - Universitas Sultan Ageng Tirtayasa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36055/setrum.v9i2.9656

Abstract

 Chest-X ray (CXR) radiography can be used as a first-line triage process for non-COVID-19 patients with pneumonia. However, the similarity between features of CXR images of COVID-19 and pneumonia caused by other infections make the differential diagnosis by radiologists challenging. We hypothesized that machine learning-based classifiers can reliably distinguish the CXR images of COVID-19 patients from other forms of pneumonia. We used a dimensionality reduction method to generate a set of optimal features of CXR images to build an efficient machine learning classifier with Nvidia Jetson Nano that can distinguish COVID-19 cases from non-COVID-19 cases with high accuracy and sensitivity. By using global features of the whole CXR images, we were able to successfully implement our classifier using a relatively small dataset of CXR images. We propose that our COVID-Classifier can be used in conjunction with other tests for optimal allocation of hospital resources by rapid triage of non-COVID-19 cases.
Implementasi Kombinasi Algoritma Enkripsi Aes 128 Dan Algoritma Kompresi Shannon-Fano Heri Haryanto; Romi Wiryadinata; Muhammad Afif
Setrum : Sistem Kendali-Tenaga-elektronika-telekomunikasi-komputer Vol 3, No 1 (2014): Edisi Juni 2014
Publisher : Fakultas Teknik Elektro - Universitas Sultan Ageng Tirtayasa

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1167.963 KB) | DOI: 10.36055/setrum.v3i1.494

Abstract

Data dan informasi menjadi suatu hal yang tidak dapat dipisahkan dari setiap aspek kehidupan manusia. Perkembangan IT (Information Technology) yang semakin cepat juga memberikan tantangan terhadap masalah keamanan data, informasi, dan media penyimpanannya. Kriptografi dapat menjaga agar data atau informasi tetap aman, tanpa mengalami gangguan dari pihak ketiga dan kompresi dapat membuat ukuran sebuah data menjadi lebih kecil. Tujuan penelitian ini adalah untuk membandingkan antara kombinasi algoritma enkripsi-kompresi dengan algoritma kompresi-enkripsi. Penggabungan algoritma enkripsi AES 128 dan algoritma kompresi Shannon-Fano pada file txt, docx, dan pdf dengan kombinasi enkripsi-kompresi tidak cocok untuk digunakan karena membuat ukuran file bertambah dan memiliki waktu proses yang lebih lama apabila dibandingkan proses kompresi-enkripsi. Rata-rata nilai rasio kompresi untuk proses enkripsi-kompresi pada file txt, docx, dan pdf masing-masing sebesar 1.01 sedangkan rata-rata nilai rasio kompresi untuk proses kompresi-enkripsi pada file txt adalah sebesar 0.64 dan untuk file docx dan pdf masing-masing sebesar 1.00. Rata-rata nilai penghematan ruang untuk proses enkripsi-kompresi pada file txt, docx, dan pdf masing-masing adalah sebesar -1.074%, -1.040%, dan -1.025% sedangkan rata-rata penghematan ruang untuk proses kompresi-enkripsi adalah sebesar 35.896%, -0.759%, dan -0.0291%. Rata-rata waktu proses yang didapat untuk kombinasi enkripsi-kompresi pada file txt, docx, dan pdf masing-masing adalah 2.22 s, 2.179 s, dan 2.204 s sedangkan rata-rata waktu proses untuk kombinasi kompresi-enkripsi 2.05 s, 2.114 s, dan 2.122 s.
Sistem Presensi Berbasis Agoritma Eigenface Dengan Metode Principal Component Analysis Siswo Wardoyo; Romi Wiryadinata; Raya Sagita
Setrum : Sistem Kendali-Tenaga-elektronika-telekomunikasi-komputer Vol 3, No 1 (2014): Edisi Juni 2014
Publisher : Fakultas Teknik Elektro - Universitas Sultan Ageng Tirtayasa

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1460.827 KB) | DOI: 10.36055/setrum.v3i1.498

Abstract

Presensi adalah suatu pendataan kehadiran, bagian dari pelaporan aktivitas suatu institusi, atau komponen institusi itu sendiri yang berisi data-data kehadiran yang disusun dan diatur sedemikian rupa sehingga mudah untuk dicari dan dipergunakan apabila sewaktu-waktu diperlukan oleh pihak yang berkepentingan. Aplikasi komputer yang dikembangkan pada sistem presensi adalah aplikasi komputer yang dapat mengenali wajah seseorang hanya dengan menggunakan webcam. Sistem pengenalan wajah ini menggunakan algoritma eigenface, dengan menggunakan citra yang dihasilkan melalui webcam dan menggunakan informasi mentah dari pixel citra yang kemudian direpresentasikan dalam metoda Principal Component Analysis (PCA). Hasil dari pengujian sistem presensi menggunakan ekspresi wajah, aksesoris wajah dan variasi jarak, didapat sensivisitas 100%, spesifisitas 55.55 %, dan akurasi 69.33 %.
Segmentasi Citra USG (Ultrasonography) Kanker Payudara Menggunakan Fuzzy C-Means Clustering Ri Munarto; Romi Wiryadinata; Didin Yogiyansyah
Setrum : Sistem Kendali-Tenaga-elektronika-telekomunikasi-komputer Vol 6, No 2 (2017): Edisi Desember 2017
Publisher : Fakultas Teknik Elektro - Universitas Sultan Ageng Tirtayasa

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (818.928 KB) | DOI: 10.36055/setrum.v6i2.2770

Abstract

Health is a valuable treasure in survival and can be used as a parameter of quality assurance of human life. Some people even tend to ignore of health, so don’t care about the disease that will them attack and finally to death. Noted the main disease that causes death in the world is cancer. Cancer has many types, but the greatest death in each year is caused by breast cancer. Indonesia found more than 80% of cases in advanced stage, it is estimated that the incidence get 12 people from 10000 women. These numbers will to grow when there is no such treatment as prevention or early diagnosis. Growing of breast cancer patients inversely proportional to the percentage of complaints patients to doctors diagnosis in USG (Ultrasonography) breast cancer 20%. The problem is ultrasound imaging which is distorted by speckle noise. The solution is to help easier for doctors to diagnose the presence and form of breast cancer using USG. Speckle noise on USG is able to good reduce using SRAD (Speckle Reducing Anisotropic Diffusion). The filtering results are then well segmented using Fuzzy C-Means Clustering with an accuracy 91.43% of 35 samples USG image breast cancer.
Rancang Bangun Pemanfaatan Alternator Sepeda Motor Automatic Untuk Sistem Genset dan Sistem Backup Power Roman Lesmana; Romi Wiryadinata; Wahyuni Martiningsih
Setrum : Sistem Kendali-Tenaga-elektronika-telekomunikasi-komputer Vol 7, No 1 (2018): Edisi Juni 2018
Publisher : Fakultas Teknik Elektro - Universitas Sultan Ageng Tirtayasa

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (669.67 KB) | DOI: 10.36055/setrum.v7i1.3464

Abstract

Communities who live far from the reach of the source of electrical energy require a system of electricity that is easy to use and applied. One easy-to-use power plant is the electrical system on a motorcycle. The purpose of this research is to utilize the generator output voltage generated into generator set and backup power system when there is no electricity supply from PLN. The AC voltage in the alternator requires the AC regulator to DC to be connected to the inverter for the obtained voltage of 220 volts 50 Hz. Modification of the design of the utilization of alternator is done by adding windings of each coil 50 winding with 0.7 mm wire diameter. Voltage generated 31 Volts at speed 1362 rpm. For voltage and charging current at alternator source is 13 Volt 1.6 Ampere and 12 Volt 0.5 Ampere for source of regulator. Genset system on this design has a capacity of 120 Watt. 81 watt load test with 12 Volt 10 Ah battery source can last 1 hour. Installed charging system takes 6 hour with fuel consumption 1,000 ml with battery condition 20% from 10
Signal Conditioning Test for Low-Cost Navigation Sensor Iwan Tirta; Romi Wiryadinata
Setrum : Sistem Kendali-Tenaga-elektronika-telekomunikasi-komputer Vol 1, No 1 (2012): Edisi Juni 2012
Publisher : Fakultas Teknik Elektro - Universitas Sultan Ageng Tirtayasa

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (739.906 KB) | DOI: 10.36055/setrum.v1i1.471

Abstract

Accelerometer dan tingkat - giroskop telah banyak diterapkan di berbagai bidang , salah satunya adalah bidang navigasi . Output accelerometer dan sensor tingkat - giroskop memiliki suara yang dapat membuat kesalahan pada output sensor . Makalah ini membahas tentang pengukuran murah sensor navigasi ( accelerometer dan tingkat - giroskop ) dengan low-pass filter untuk meminimalkan kesalahan . Data output sensor ditampilkan pada komputer dan diplot dalam bentuk grafik . Hasil penelitian menunjukkan bahwa nilai kecepatan sudut dan linier akselerasi menggunakan LPF lebih akurasi dengan perbedaan kecepatan sudut 0,4451 deg / s tanpa filter dan 0,3312 deg / s menggunakan filter, perbedaan percepatan sumbu x 0,3311 m / s2 tanpa filter dan 0,3209 m / s2 menggunakan filter dari akselerasi yang diinginkan , sumbu y 1,3593 m / s2 tanpa filter dan 1,2650 m / s2 menggunakan filter dan z axis 1,2831 m / s2 tanpa filter dan 1,2388 m / s2 menggunakan filter.
Rancang Bangun Keamanan Port Secure Shell (SSH) Menggunakan Metode Port Knockking Desmira Desmira; Romi Wiryadinata
INSANtek Vol 3 No 1 (2022): Mei 2022
Publisher : LPPM Universitas Bina Sarana Informatika

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

Abstract

Banten Tour Mandiri is a tour and travel service provider, the need for internet use in companies is very much needed so that services in the service sector can be carried out comfortably and effectively. This study aims 1. To design a remote system using port knocking to monitor and supervise internet network access at PT. Banten Tour Mandiri. 2. Overseeing the internet network at PT. Banten Tour Mandiri. 3. Make it easier for companies to manage, supervise when using the existing internet network in the corporate environment. To develop the stability of the existing internet network, but there are several things that have not been considered and implemented, namely security and supervision of the internet network, it is necessary to have a network security system that simplifies security and supervision, by performing the Secure Shell (SSH) Port Security Design Port Knocking Method At PT. Banten Tour Mandiri. The results of this study show that the administrator has successfully performed remote access to the internet network server using the SSH port. Monitoring and management of internet network security can be done using a different PC located in the PT. Banten Tour Mandiri
Comparison of principal component analysis and ANFIS to improve EEVE Laboratory energy use prediction performance Desmira Desmira; Norazhar Abu Bakar; Romi Wiryadinata; Mustofa Abi Hamid; Nur Kholifah; Muhammad Nurtanto
Indonesian Journal of Electrical Engineering and Computer Science Vol 27, No 2: August 2022
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v27.i2.pp970-979

Abstract

The energy use that is in excess of practicum students’ needs and the disturbed comfort that the practicum students experience when conducting practicums in the Electrical eengineering vocational education (EEVE) laboratory. The main objective in this study was to figure out how to predict and streamline the use of electrical energy in the EEVE laboratory. The model used to achieve this research’s goal was called the adaptive neuro-fuzzy inference system (ANFIS) model, which was coupled with principal component analysis (PCA) feature selection. The use of PCA in data grouping performance aims to improve the performance of the ANFIS model when predicting energy needs in accordance with the standards set by the campus while still taking students’ confidence in conducting practicum activities during campus operating hours into consideration. After some experiments and tests, very good results were obtained in the training: R=1 in training; minimum RMSE=0.011900; epoch of 100 per iteration; and R=0.37522. In conclusion, the ANFIS model coupled with PCA feature selection was excellent at predicting energy needs in the laboratory while the comfort of the students during practicums in the room remained within consideration.
Designing a Smart Mirror as a Laboratory Information Media Using Raspberry Pi Denny Hardiyanto; Galang Wicaksono; Anggoro S Pramudyo; Rian Fahrizal; Romi Wiryadinata
IJITEE (International Journal of Information Technology and Electrical Engineering) Vol 3, No 3 (2019): September 2019
Publisher : Department of Electrical Engineering and Information Technology,Faculty of Engineering UGM

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1379.643 KB) | DOI: 10.22146/ijitee.48436

Abstract

Development of microprocessor technology provides new ideas for creating smart devices, one of which is in the field of smart home. Smart home is a concept of a home integrated with a smart system and supported by technology that enables all work to be more effective and efficient. Mirror is a household device that is beneficial to humans. In this paper, a research on smart mirrors is explained. A smart mirror is a mirror integrated with an intelligent system so that it can display multimedia data originating from the internet using Raspberry as a computing tool, PIR sensor as a tool to control monitors, and DC fans as a tool to control temperature system. In this paper, the mirror was able to display information about time, weather, academic calendar, lab work schedules, prayer schedules, and academic news. A PIR sensor has a good accuracy when the device is placed at 180 cm above the ground and the distance between mirror and humans when mirroring is 70 cm. A DC fan was utilized to stabilize the system temperature in a range of 40 to 50 oC.