Article Per Year (5 Year)
p-Index From 2020 - 2025
0.888
P-Index
This Author published in this journals
All Journal International Journal of Power Electronics and Drive Systems (IJPEDS) JUTIK : Jurnal Teknologi Informasi dan Komputer Jurnal Teknologi Informasi dan Terapan (J-TIT) Jurnal Layanan Masyarakat (Journal of Public Service) International Journal Of Computer, Network Security and Information System (IJCONSIST)
Sisca Dina Nur Nahdliyah
Universitas Airlangga Surabaya
Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Social Sciences Other

Published : 5 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 5 Documents
Search

 1 
An improved control for MPPT based on FL-PSo to minimize oscillation in photovoltaic system Aji Akbar Firdaus; Riky Tri Yunardi; Eva Inaiyah Agustin; Sisca D. N. Nahdliyah; Teguh Aryo Nugroho
International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 11, No 2: June 2020
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (639.01 KB) | DOI: 10.11591/ijpeds.v11.i2.pp1082-1087

Abstract

Photovoltaic (PV) is a source of electrical energy derived from solar energy and has a poor level of efficiency. This efficiency is influenced by PV condition, weather, and equipments like Maximum Power Point Tracking (MPPT). MPPT control is widely used to improve PV efficiency because MPPT can produce optimal power in various weather conditions. In this paper, MPPT control is performed using the Fuzzy Logic-Particle Swarm Optimization (FL-PSO) method. This FL-PSO is used to get the Maximum Power Point (MPP) and minimize the output power oscillation from PV. From the simulation results using FL-PSO, the values of voltage, and output power from the boost converter are 183.6 V, and 637.7 W, respectively. The ripple of output power from PV with FL-PSO is 69.5 W. Then, the time required by FL-PSO reaches MPP is 0.354 s. Compared with MPPT control based on the PSO method, the MPPT technique using FL-PSO indicates better performance and faster than the PSO.
PENGENALAN KONSENTRASI WARNA PELUMAS MENGGUNAKAN WEBCAM Winarno Winarno; Deny Arifianto; Sisca D N Nahdliyah; M Z Pratama; R A Nuswantari
Jurnal Teknologi Informasi dan Terapan Vol 5 No 2 (2018)
Publisher : Jurusan Teknologi Informasi Politeknik Negeri Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25047/jtit.v5i2.82

Abstract

The number of fake lubricants in Indonesia has made many people nervous. In 2008, 50% to 60% of lubricants that already existed in Indonesia were fake, therefore carefulness was needed in choosing these lubricating products. The first step that can be done to identify fake lubricants is to recognize by its color. Therefore, this research aims to design a device that is able to recognize the color of lubricants using a webcam. The research sample is base oil with levels of red and blue, each of which is 0 ppm, 10 ppm, 50 ppm, 100 ppm, 150 ppm, and 200 ppm. This sample is characterized by the color composition used as a reference system, then tested to identify other samples. Characterization is done by placing a sample on a cuvette and inserting it into the sample room with adequate lighting. The web camera is used to take sample pictures, then the image is analyzed based on color composition. Based on the results of tests that have been conducted, it shows that this system is able to identify 100% lubricant samples correctly. These results indicate that it is very possible to develop an early detection method for lubricating oil based on the composition of the colors using a webcam.
INCREASING PUBLIC PARTICIPATION TO PREVENT THE SPREAD OF COVID-19 IN DUKUH KUPANG SURABAYA Winarno; Deny Arifianto; Myrna Adianti; Eva Inaiyah Agustin; Sisca Dina Nur Nahdliyah; Elsyea Adia Tunggadewi; Ali Suryaperdana Agoes
Jurnal Layanan Masyarakat (Journal of Public Services) Vol. 6 No. 1 (2022): JURNAL LAYANAN MASYARAKAT
Publisher : Universitas Airlangga

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20473/jlm.v6i1.2022.235-243

Abstract

Novel Coronavirus 2019 (covid-19) is a generation of the coronavirus that humans have never identified. This virus was first reported to cause an outbreak in Wuhan, China, in December 2019. Until now, covid-19 infection cases have been reported in many countries, such as Thailand, Japan, South Korea, Iran, Italy, Germany, and more than 90 countries worldwide. Until November 1, 2020, a total of 412.784 positive cases of covid-19 were recorded, with 341.942 recovered patients and 13.943 deaths in Indonesia. The purpose of this event is to anticipate the spread of Covid-19 by reminding the public to maintain health protocols and other alternatives in preserving health, also increasing body immunity through massage and traditional Indonesian herbal medicine. This event received a good response from the public. It was evidenced by the number of participants exceeding the predetermined quota and enthusiastic in following the speaker's material. The event was a success and was well received by the participants as well as the local government. After following this event, participants can practise the knowledge obtained from the presenters to maintain and protect their health and immunity from Covid-19. Keywords: Covid-19, Community service, body immunity DAFTAR PUSTAKA Amri, Sofan. Iif Khoiru Ahmadi. 2010. Proses Pembelajaran Kreatif dan Inovatif Dalam Kelas: Metode, Landasan Teoritis-Praktis dan Penerapannya. Jakarta: PT. Prestasi Pustakaraya. Badan Pusat Statistik Kota Surabaya. “Jumlah RT RW Kecamatan Dukuh Pakis Menurut Kelurahan Tahun 2017”. surabayakota.bps.go.id. https://surabayakota.bps.go.id/statictable/2018/04/19/594/jumlah-rt-rw-kecamatan-dukuh-pakis-menurut-kelurahan-tahun-2017.html. (diakses 15 Desember 2020). Huang C, Wang Y, Li X, Ren L, Zhao J, Hu Y, Zhang L, Fan G, Xu J, Gu X, Cheng Z. 2020. “Clinical features of patients infected with 2019 novel coronavirus in Wuhan, China”. Lancet 2020: 395: 497-506. doi: https://doi.org/10.1016/S0140-6736(20)30183-5. Kementerian Kesehatan Republik Indonesia. 2020. Pedoman Kesiapsiagaan Menghadapi Coronavirus Disease (covid-19). Jakarta: Direktorat Jenderal Pencegahan dan Pengendalian Penyakit (P2P). Komite Penanganan Covid-19 dan Pemulihan Ekonomi Nasional. “Pasien Sembuh Harian Mencapai 4.141 Orang”. covid19.go.id. https://covid19.go.id/berita/pasien-sembuh-harian-mencapai-4141-orang. (diakses 15 Desember 2020). Kumar, M., & Dwivedi, S. 2020. “Impact of Coronavirus Imposed Lockdown on Indian Population and their Habits”. International Journal of Science and Healthcare Research Vol.5 Issue: 2: April-June 2020. ISSN: 2455-7587. Li, S., Wang, Y., Xue, J., Zhao, N., & Zhu, T. 2020. “The impact of covid-19 epidemic declaration on psychological consequences: A study on active weibo users”. International Journal of Environmental Research and Public Health, 17(6), 1–9. doi: https://doi.org/10.3390/ijerph17062032. Pemerintah Kota Surabaya, “Statistik”. lawancovid-19.surabaya.go.id. https://lawancovid-19.surabaya.go.id/visualisasi/graph. (diakses 15 Desember 2020). Rizma Riyandi. “Data Kecamatan Surabaya: Dukuh Pakis, Penduduk dan Wilayah”. ayosurabaya.com. https://www.ayosurabaya.com/read/2020/09/28/3230/data-kecamatan-surabaya-dukuh-pakis-penduduk-dan-wilayah. (diakses 15 Desember 2020). Zhu N, Zhang D, Wang W, Li X, Yang B, Song J, Zhao X, Huang B, Shi W, Lu R, Niu P. 2020. “A novel coronavirus from patients with pneumonia in China, 2019”. New England Journal of Medicine 2020: 382: 727-733. doi: 10.1056/NEJMoa2001017
PREDIKSI WATER REMOVAL PADA PROSES DEHYDRATION GAS ALAM MENGGUNAKAN JARINGAN SYARAF TIRUAN Sisca Dina Nur Nahdliyah; Deny Arifianto; Winarno .
Jurnal Teknologi Informasi dan Komputer Vol 7, No 4 (2021): Jurnal Teknologi Informasi dan Komputer
Publisher : LPPM Universitas Dhyana Pura

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

Abstract

ABSTRACTRaw natural gas contains water vapor or hydrates that must be purified to meet sales gas specifications. The most commonly used water vapor purification process is the natural gas absorption dehydration process with TEG. The optimal natural gas dehydration process is indicated by the water removal value in accordance with gas sales standards, where the water removal value is influenced by the operating conditions and the raw natural gas feedstock. Therefore, this study predicts the water removal value of the natural gas dehydration process using MLP (Multi-Layer Percepton) neural network with NARX structure (Nonlinear AutoRegressive, eXternalinput) using Levenberg-Marquardt learning algorithm in order to obtain optimal operating conditions. The input parameters of the artificial neural network are operating conditions, raw natural gas components, and TEG content, while the output is the value of water removal and reboiler energy. The results showed that the Root Mean Square Error (RMSE) on the training data was 0.0005 kgmole/h for water removal and 0.0010 kW for reboiler energy, proving that the ANN model used had a fairly good performance in capturing complex and nonlinear characteristics in the natural gas dehydration process.Keywords: Natural Gas, Dehydration, Artificial Neural Networks, Prediction, Water RemovalABSTRAKGas alam mentah mempunyai kandungan uap air atau hidrat yang harus dimurnikan agar memenuhi spesifikasi gas penjualan. Proses pemurnian kandungan uap air yang paling sering digunakan adalah proses dehydration gas alam absorpsi dengan TEG. Proses dehydration gas alam yang optimal ditunjukkan oleh nilai water removal yang sesuai dengan standart penjualan gas, dimana nilai water removal dipengaruhi oleh kondisi operasi dan bahan baku gas alam mentah. Oleh karena itu, penelitian ini memprediksi nilai water removal proses dehydration gas alam menggunakan jaringan syaraf tiruan MLP (Multi Layer Percepton) struktur NARX (Nonlinear AutoRegressive, eXternalinput) dengan algoritma pembelajaran Levenberg-Marquardt agar mendapatkan kondisi operasi yang optimal. Parameter input jaringan syaraf tiruan adalah kondisi operasi, komponen gas alam mentah, dan kandungan TEG, sedangkan output adalah nilai water removal dan energi reboiler. Hasil penelitian diperoleh nilai Root Mean Square Error (RMSE) pada data latih sebesar 0,0005 kgmol/jam untuk water removal dan 0,0010 kW untuk energi reboiler, membuktikan bahwa model JST yang digunakan memiliki kinerja yang cukup baik dalam menangkap karakteristik komplek dan nonlinear pada proses dehydration gas alam.Kata Kunci : Gas Alam, Dehydration, Jaringan Syaraf Tiruan, Prediksi, Water Removal
Simulation of an IoT Based Smart System for Monitoring Hand Hygiene of Medical Personnel in Hospitals Tunggadewi, Elsyea Adia; Dina Nur nahdliyah, Sisca; Prayitno, Hadi
IJCONSIST JOURNALS Vol 6 No 1 (2024): September
Publisher : International Journal of Computer, Network Security and Information System

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33005/ijconsist.v6i1.125

Abstract

Improving hand hygiene of medical personnel in hospitals is one of the main steps in preventing nosocomial infections which can threaten patient safety. However, based on WHO data, only around 40% of medical personnel consistently comply with hand hygiene protocols. Obstacles such as lack of supervision and technological limitations also worsen this condition. Therefore, this research proposes the development of an Internet of Things (IoT) based system that can monitor the hand hygiene of medical personnel in real-time, as an effort to increase compliance and support more effective hand hygiene management in the hospital environment. This research aims to design an intelligent IoT system that is able to detect and record the hand hygiene activities of medical personnel automatically, based on predetermined hand hygiene protocols. This system will also be equipped with data analysis features to help hospital management evaluate the level of medical personnel's compliance with hygiene standards. By utilizing sensor technology, this system is expected to be able to provide innovative, efficient and integrated solutions, so that it can support more optimal hygiene management in health facilities. The research method consists of three main stages. The first stage is a needs analysis and literature study to understand relevant hand hygiene standards and IoT technologies. The second stage involves system design, including virtual microcontroller-based hardware modeling, sensor simulation, and software development in a simulation environment. The third stage is system simulation and performance testing in a virtual hospital environment to evaluate its effectiveness. An iterative approach is applied to ensure the simulation results comply with theoretical user needs and applicable standards.
Co-Authors Agustin, Eva Inaiyah Ali Suryaperdana Agoes Arifianto, Deny Elsyea Adia Tunggadewi Firdaus, Aji Akbar Hadi Prayitno, Hadi M Z Pratama Myrna Adianti R A Nuswantari Teguh Aryo Nugroho winarno . Winarno Winarno Winarno, Winarno Yunardi, Riky Tri