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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) JEEE-U (Journal of Electrical and Electronic Engineering-UMSIDA) International Journal Of Computer, Network Security and Information System (IJCONSIST) RENATA Jurnal Pengabdian Masyarakat Kita Semua
Sisca Dina Nur Nahdliyah
Universitas Airlangga Surabaya
Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Social Sciences Other

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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
ROBOTICS AND ARTIFICIAL INTELLIGENCE TRAINING FOR STUDENTS IN INTENSIF TARUNA PEMBANGUNAN SENIOR HIGH SCHOOL SURABAYA Agustin, Eva Inaiyah; Nahdliyah, Sisca Dina Nur; Putri, Tesa Eranti; Prihasty, Wilda; Tunggadewi, Elsyea Adia; Arifianto, Deny; Wardhana, Ananthyo Whisnu
Jurnal Layanan Masyarakat (Journal of Public Services) Vol. 9 No. 3 (2025): JURNAL LAYANAN MASYARAKAT
Publisher : Universitas Airlangga

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20473/.v9i3.2025.341-351

Abstract

Artificial Intelligence is a new science that is currently being widely developed and used in all aspects to solve various tasks and problems. In advanced robotics systems, AI is used in robots to understand, reason, and act autonomously in complex environments. So far, partners still borrow robots from other agencies during robotics extracurricular activities. This community service activity aims to introduce Artificial Intelligence (AI) and robotics technology to high school students and hone students' skills and can develop extracurricular robotics. This activity is in the form of training that begins with providing material on the topic of AI and robotics. This training began with providing AI and robotics materials attended by 30 students and took place in the computer laboratory of SMA Intensive Taruna Pembangunan Surabaya (SMA ITP Surabaya). The robot used is an arm robot, a robot that is often used in industry for various tasks. To determine the increase in knowledge and skills, pre-test and post-test methods are carried out before and after the training and case studies/projects are provided at the end of the training. There was an increase in student knowledge of 18.77% and student skills as evidenced by all (10) groups being able to move the target. With this activity, SMA ITP Surabaya has a robotics module in the form of an arm robot and is able to develop and increase student interest in robotics extracurricular activities.
An Accuracy Assessment of an IoT-Based Monitoring System for Household Water Consumption in Estimating Volume and Usage Cost: Analisis Tingkat Akurasi Sistem Monitoring Konsumsi Air Rumah Tangga Berbasis IoT terhadap Estimasi Volume dan Biaya Pemakaian Tunggadewi, Elsyea Adia; Nahdliyah, Sisca Dina Nur
JEEE-U (Journal of Electrical and Electronic Engineering-UMSIDA) Vol. 9 No. 2 (2025): Oktober
Publisher : Muhammadiyah University, Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/jeeeu.v9i2.1705

Abstract

Water-use efficiency in the household sector is a crucial aspect in supporting the sustainability of water resources. Enhancing this efficiency requires a monitoring system capable of accurately measuring consumption volume and precisely estimating usage costs. A relevant approach in this context is the implementation of Internet of Things (IoT)-based technology, which enables real-time data acquisition and transmission through smart water meter devices. This study aims to evaluate the accuracy of an IoT-based household water consumption monitoring system in estimating usage volume and calculating cost. The method involves a comparison between actual water flow data and system measurements, as well as an analysis of the discrepancy between actual costs and cost estimates produced by the application. Experimental results indicate an average deviation of 9.12% between the actual and measured volume. In contrast, the cost estimation demonstrates a very high level of accuracy, with a maximum discrepancy of only IDR 1 compared to the actual cost. These findings indicate that the system performs reliably in estimating cost, although some inaccuracies remain in volume measurement. Overall, the system demonstrates considerable potential as an effective and sustainable technological solution to support household water consumption management.
Penerapan Teknologi Mesin Pengering Gabah Untuk Mendukung Optimalisasi Produksi Kelompok Petani Padi Di Dusun Blawen, Kabupaten Jombang Elsyea Adia Tunggadewi; Sisca Dina Nur Nahdliyah; Riky Tri Yunardi; Deny Arifianto; Wilda Prihasty; Aji Akbar Firdaus; Eva Inaiyah Agustin
RENATA: Jurnal Pengabdian Masyarakat Kita Semua Vol. 4 No. 1 (2026): Renata - April 2026
Publisher : PT Berkah Tematik Mandiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61124/1.renata.326

Abstract

Pengeringan gabah merupakan tahapan penting dalam proses pascapanen padi, namun metode tradisional yang mengandalkan sinar matahari masih menghadapi berbagai kendala, terutama ketergantungan pada kondisi cuaca dan durasi pengeringan yang panjang. Kegiatan pengabdian kepada masyarakat yang dilaksanakan pada 7 November 2025 di Dusun Blawen, Desa Rejoslamet, Kabupaten Jombang ini bertujuan memberikan solusi melalui penerapan teknologi mesin pengering gabah untuk meningkatkan efisiensi dan kualitas pengeringan. Metode Community Based Research (CBR) digunakan untuk mengidentifikasi permasalahan, merancang teknologi yang sesuai kebutuhan, melaksanakan pelatihan, dan melakukan evaluasi kinerja mesin. Mesin pengering yang dirancang memiliki kapasitas 5–25 kg, dilengkapi sistem pemantauan suhu dan berat gabah, serta mekanisme pemilah sekam. Hasil evaluasi menunjukkan mesin mampu mempertahankan suhu pengeringan pada kisaran 65–75 °C serta menghasilkan penurunan berat gabah yang konsisten. Berdasarkan perhitungan kadar air berbasis penurunan berat diperoleh sekitar 21–22% wb dalam 10 menit pengeringan, menunjukkan proses penguapan air telah berlangsung meskipun belum mencapai standar penyimpanan. Demonstrasi praktik juga mengidentifikasi beberapa aspek teknis yang perlu diperbaiki, seperti celah pada tutup drum dan efisiensi pemilahan sekam. Secara keseluruhan, program ini meningkatkan pemahaman teknis dan keterampilan operasional petani, serta memberikan dampak positif bagi peningkatan produktivitas dan keberlanjutan pengolahan pascapanen, sejalan dengan target Sustainable Development Goals (SDGs) khususnya Zero Hunger
Simulation of an IoT Based Smart System for Monitoring Hand Hygiene of Medical Personnel in Hospitals Elsyea Adia Tunggadewi; Sisca Dina Nur nahdliyah; Hadi Prayitno
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 Aji Akbar Firdaus Ali Suryaperdana Agoes Arifianto, Deny Deny Arifianto Elsyea Adia Tunggadewi Elsyea Adia Tunggadewi Eva Inaiyah Agustin Firdaus, Aji Akbar Hadi Prayitno M Z Pratama Myrna Adianti Prihasty, Wilda R A Nuswantari Teguh Aryo Nugroho Tesa Eranti Putri Wardhana, Ananthyo Whisnu Wilda Prihasty winarno . Winarno Winarno Winarno, Winarno Yunardi, Riky Tri