Article Per Year (5 Year)
p-Index From 2019 - 2024
1.037
P-Index
This Author published in this journals
All Journal Jurnal Ilmiah Teknik Elektro Komputer dan Informatika (JITEKI) Teknika: Jurnal Sains dan Teknologi Setrum : Sistem Kendali-Tenaga-elektronika-telekomunikasi-komputer Journal of Systems Engineering and Management
Alief Maulana
Universitas Sultan Ageng Tirtayasa
Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Education Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering

Published : 8 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 8 Documents
Search

 1 
Pemeliharaan Dan Pengujian Motor Induksi 3 Phasa Menggunakan Motor Circuit Analysis (MCA) Di PT.DIAN SWASTIKA SENTOSA Muhammad Sadikin; Alief Maulana; M. Miftah Baihaqi
Jurnal Teknika Vol 14, No 1 (2018): Edisi Juni 2018
Publisher : Faculty of Engineering, Universitas Sultan Ageng Tirtayasa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36055/tjst.v14i1.5859

Abstract

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.
Desain Low Pass Filter Metode Stepped Impedance dengan Frekuensi Cutoff 2 GHz Alief Maulana; Hamdan Kelana Aziz
Setrum : Sistem Kendali-Tenaga-elektronika-telekomunikasi-komputer Vol 6, No 1 (2017): Edisi Juni 2017
Publisher : Fakultas Teknik Elektro - Universitas Sultan Ageng Tirtayasa

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (651.584 KB) | DOI: 10.36055/setrum.v6i1.2261

Abstract

Seiring berkembangnya teknologi dan pertumbuhan populasi manusia membuat kebutuhan akan pertukaran informasi baik berupa data, suara, maupun gambar semakin besar. Teknologi wireless telecommunication merupakan yang paling berkembang saat ini, didasarkan mobilitas manusia yang semakin tinggi sehingga dapat menyesuaikan dengan tingkat mobilitas manusia yang tinggi dan pembangunan jaringan yang lebih cepat dibandingkan teknologi komunikasi via kabel. Pada teknologi satelit broadcasting sangat tergantung pada band yang L-Band memiliki rentang frekuensi dengan peralatan satelit untuk mentransfer sinyal satelit dari LNB di dish ke receiver. Rentang frekuensi resmi untuk L-band adalah 1 sampai 2 GHz. Standar LNB satelit menggunakan 950-1450 MHz sebagai frekuensi yang intermiten. Dari hal tersebut muncul pemikiran penulis untuk mebuat suatu Design untuk Simulasi Lowpass yang mampu meloloskan yang masuk kedalam spektrum frekuensi L Band dengan cutoff pada Frekuensi 2Ghz.
Implementasi Sistem Informasi Manajemen Inventaris Berbasis Web Di Pusat Teknologi Informasi Dan Komunikasi – BPPT Alief Maulana; Muhammad Sadikin; Arief Izzuddin
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 (1114 KB) | DOI: 10.36055/setrum.v7i1.3727

Abstract

Web-based invertasis information system can be a solution for management of investment information data that has done manually in the environment of Information and Communication Technology Center - BPPT. In addition, the DIPA (Annual Budget Implementation) program held annually at PTIK-BPPT requires the monitoring or reporting of existing asset data. Using a web-based inventory information system can help ease and speed up the procurement process of DIPA programs, as well as manage stock options, asset lending and asset recovery assets and demand for consumables that have been manually turned into web-based applications. Use of web-based information system applications can be a solution to manage inventory. The use of Snape-IT applications can be an option, since the content available in the Snape-IT application supports the existing needs of the company, but much of the content must be tailored to the business of inventory management processes that are still manual
Electrical Tomography Sensor Modelling for Detection of Fuel Proportion in Vessel Rian Fahrizal; Jaga Sobar Julianto; Alief Maulana; Rocky Alfanz; Ceri Ahendyarti; Rohmadi Rohmadi; Imamul Muttakin
Jurnal Ilmiah Teknik Elektro Komputer dan Informatika Vol 9, No 2 (2023): June
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26555/jiteki.v9i2.26304

Abstract

Electrical capacitance volume tomography (ECVT) is a method for determining the volumetric distribution of dielectric permittivity using the capacitance measurement principle. The determination of volumetric distribution of dielectric permittivity is important to regulate a process in which quantity of materials is a decisive parameter such as in industrial setting or vehicle sub-system. ECVT is a relatively fast and non-radiating method to observe spatio-temporal phenomena inside a process, making it a valuable technique. Sensor modelling and image reconstruction study are essentials in designing a suitable imaging system based on measurements from plurality of electrodes providing higher degree of information being observed. This research conducts sensor modelling with varying fuel objects in the interior of a cylindrical vessel. The capacitance value was simulated between a combination of eight electrodes mounted encapsulating the tube. Each measured electrode was given an excitation voltage as a source of an electrostatic field, which interacts with the object’s presence. The objects in this study are benzene, kerosene, and diesel fuel, along with reference dielectric values of water and air. Image reconstruction used the linear back projection (LBP) method. Matrix operations between sensor’s pre-defined sensitivity and capacitance values produce data that can be plotted into an image estimating the true distribution of objects. Capacitance values from modelling are proportional to the actual object’s permittivity. The reconstruction provides qualitative information on the proportion of fuel in the vessel based on the capacitance value. Images have distinct values according to the presence of different objects under investigation. The research contribution is a proof of concept in using capacitance tomography to detect different fuels inside an enclosed tank at modelling stage. In addition, this study serves as a guideline for implementing a non-invasive and non-intrusive system for determining proportions of materials of interests inside a certain setup.
Solar panel optimization using maximum power point tracking based on Artificial Bee Colony algorithm Hartono Hartono; Yusraini Muharni; Wahid Diana Tasdik; Alief Maulana; Irma Saraswati
Journal of Systems Engineering and Management Vol 1, No 1 (2022)
Publisher : Universitas Sultan Ageng Tirtayasa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36055/joseam.v1i1.17530

Abstract

Solar panels are a renewable energy generator widely used by the wider community. However, solar panels have a disadvantage in operation, namely very low efficiency. One way to improve the performance of solar panels is to find the MPP (Maximum Power Point) on the V-P curve of the solar panel. This study aims to find the maximum point of the solar panel so that the output power is maximized. This research has succeeded in making a model of a solar panel-based MPPT system using the Artificial Bee Colony method using a DC-DC converter of the choke type. The model is made using Solarland 200 WP solar panels. The difference in output power based on the test results obtained the results of the power efficiency generated by solar panels using MPPT on changes in irradiation with an average fixed temperature of 99.06%. At temperature changes with constant irradiation, the average is 99.12%.
Load Forecasting Energi Listrik Provinsi Banten Tahun 2022-2030 Menggunakan Metode Backpropagation Neural Network Hartono Hartono; Yusraini Muharni; Irvan Setiawan; Irma Saraswati; Alief Maulana
Journal of Systems Engineering and Management Vol 2, No 1 (2023)
Publisher : Universitas Sultan Ageng Tirtayasa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36055/joseam.v2i1.19265

Abstract

Kebutuhan energi listrik dimasa yang akan datang membutuhkan suatu perencanaan dan juga prediksi yang baik. Oleh sebab itu dibutuhkan perencanaan secara sistematis dengan berdasarkan data historis. Penelitian ini menggunakan neural network dengan algoritma backpropagation untuk melakukan prakiraan kebutuhan energi listrik Provinsi Banten di masa yang akan datang. Penelitian ini bertujuan membandingkan hasil prakiraan metode jaringan syaraf tiruan (JST) dengan RUPTL PLN 2021-2030. Setelah dilakukan proses perhitungan dan simulasi diperoleh hasil prakiraan kebutuhan energi listrik Provinsi Banten pada tahun 2021–2030 dengan metode JST diperkirakan akan mengalami kenaikan sebesar 30613.41 GWH pada tahun 2030 dengan rata–rata pertumbuhan setiap tahun sebesar 3.24%. JST backpropagation memiliki nilai kesalahan yang lebih rendah 0.39% dibandingkan dengan RUPTL PT PLN sebesar 2.74%. Berdasarkan kriteria mean average percentage error (MAPE) hasil perakiraan keseluruhan JST backpropagation dan RUPTL PT PLN berada pada kategori dapat diterima dan sangat baik.
Simulasi Sistem High Flow Nasal Cannula berbasis Internet of Things Aldi Muhamad Fikri; Alfirdaus Zaharda; Alief Maulana; Rian Fahrizal; Imamul Muttakin
Setrum : Sistem Kendali-Tenaga-elektronika-telekomunikasi-komputer Vol 13, No 1 (2024): Edisi Juni 2024
Publisher : Fakultas Teknik Elektro - Universitas Sultan Ageng Tirtayasa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36055/setrum.v13i1.25604

Abstract

Paper ini membahas perancangan alat terapi oksigen dengan laju aliran udara tinggi atau biasa disebut dengan high flow nasal cannula (HFNC). Alat tersebut penting untuk memperoleh konsentrasi oksigen dan laju aliran yang ditentukan dengan menggunakan pencampuran gas tabung venturi. Mikrokontroler digunakan untuk mengolah data dan terhubung dengan WiFi sehingga dapat terintegrasi dengan sistem internet of things (IoT). Pengukuran dilakukan menggunakan sensor oksigen KE-25, sensor aliran udara FS-300A dan sensor tekanan MPX5700 untuk membaca parameter. Layar kristal cair (LCD) menampilkan data konsentrasi oksigen, laju aliran oksigen, tekanan dalam ruang, dan status katup solenoid. HFNC berhasil dirancang pada papan sirkuit cetak (PCB) dua lapis.
Co-Authors Aldi Muhamad Fikri Alfirdaus Zaharda Arief Izzuddin Ceri Ahendyarti Fahrizal, Rian Hamdan Kelana Aziz Imamul Muttakin Irma Saraswati Irvan Setiawan Jaga Sobar Julianto M. Miftah Baihaqi Muhammad Sadikin Muhammad Sadikin Muharni, Yusraini Rocky Alfanz Rohmadi Rohmadi romi wiryadinata Wahid Diana Tasdik Yusraini Muharni