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Towards a Resilient Server with an external VMI in the Virtualization Environment Utomo, Agus Priyo; Winarno, Idris; Syarif, Iwan
EMITTER International Journal of Engineering Technology Vol 8 No 1 (2020)
Publisher : Politeknik Elektronika Negeri Surabaya (PENS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24003/emitter.v8i1.468

Abstract

Currently, cloud computing technology is implemented by many industries in the world. This technology is very promising due to many companies only need to provide relatively smaller capital for their IT infrastructure. Virtualization is the core of cloud computing technology. Virtualization allows one physical machine to runs multiple operating systems. As a result, they do not need a lot of physical infrastructures (servers). However, the existence of virtualization could not guarantee that system failures in the guest operating system can be avoided. In this paper, we discuss the monitoring of hangs in the guest operating system in a virtualized environment without installing a monitoring agent in the guest operating system. There are a number of forensic applications that are useful for analyzing memory, CPU, and I/O, and one of it is called as LibVMI. Drakvuf, black-box binary analysis system, utilizes LibVMI to secure the guest OS. We use the LibVMI library through Drakvuf plugins to monitor processes running on the guest operating system. Therefore, we create a new plugin to Drakvuf to detect Hangs on the guest operating system running on the Xen Hypervisor. The experiment reveals that our application is able to monitor the guest operating system in real-time. However, Extended Page Table (EPT) violations occur during the monitoring process. Consequently, we need to activate the altp2m feature on Xen Hypervisor to by minimizing EPT violations.
Hospital Length of Stay Prediction based on Patient Examination Using General features Rabiatul Adawiyah; Badriyah, Tessy; Syarif, Iwan
EMITTER International Journal of Engineering Technology Vol 9 No 1 (2021)
Publisher : Politeknik Elektronika Negeri Surabaya (PENS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24003/emitter.v9i1.609

Abstract

As of the year 2020, Indonesia has the fourth most populous country in the world. With Indonesia’s population expected to continuously grow, the increase in provision of healthcare needs to match its steady population growth. Hospitals are central in providing healthcare to the general masses, especially for patients requiring medical attention for an extended period of time. Length of Stay (LOS), or inpatient treatment, covers various treatments that are offered by hospitals, such as medical examination, diagnosis, treatment, and rehabilitation. Generally, hospitals determine the LOS by calculating the difference between the number of admissions and the number of discharges. However, this procedure is shown to be unproductive for some hospitals. A cost-effective way to improve the productivity of hospital is to utilize Information Technology (IT). In this paper, we create a system for predicting LOS using Neural Network (NN) using a sample of 3055 subjects, consisting of 30 input attributes and 1 output attribute. The NN default parameter experiment and parameter optimization with grid search as well as random search were carried out. Our results show that parameter optimization using the grid search technique give the highest performance results with an accuracy of 94.7403% on parameters with a value of Epoch 50, hidden unit 52, batch size 4000, Adam optimizer, and linear activation. Our designated system can be utilised by hospitals in improving their effectiveness and efficiency, owing to better prediction of LOS and better visualization of LOS done by web visualization.
THD Minimization in Seven-Level Packed U-Cell (PUC) Inverter using Particle Swarm Optimization Osamah Abdullah Yahya Amran; Novie Ayub Windarko; Iwan Syarif
Aviation Electronics, Information Technology, Telecommunications, Electricals, and Controls (AVITEC) Vol 8, No 1 (2026): February
Publisher : Institut Teknologi Dirgantara Adisutjipto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28989/avitec.v8i1.3352

Abstract

This study presents the modeling and simulation of an asymmetric seven-level Packed U-Cell (PUC) multilevel inverter employing a reduced number of power switches. A Modified Pulse Width Modulation (MPWM) scheme, optimized through the Particle Swarm Optimization (PSO) algorithm, is implemented to determine the optimal switching angles for enhanced harmonic elimination. The primary objective is to improve the output voltage waveform quality while reducing Total Harmonic Distortion (THD) and enhancing switching efficiency. The novelty of this work lies in integrating PSO with MPWM control in an asymmetric seven-level PUC inverter configuration with fewer switches, a combination that has not been previously addressed. Simulation results in Simulink demonstrate that the proposed PSO-optimized MPWM strategy achieves a THD of 17.72%, outperforming conventional modulation techniques. These findings highlight the effectiveness of intelligent optimization methods for multilevel inverter control and their potential contribution to improving power quality in renewable energy applications.
Optimasi Sistem Antrian Digital Terintegrasi Fitur Chat pada Layanan Kelurahan Gebang Putih Berbasis User-Centered Design Adam Shidqul Aziz; Nur Rosyid Mubtadai; Desy Intan Permatasari; Ferry Astika Saputra; Iwan Syarif; Arna Fariza; M. Udin Harun Al Rasyid; Nana Ramadijanti; Irwan Sumarsono; Ahmad Syauqi Ahsan; Umi Sa'adah; Andhik Ampuh Yunanto; Selvia Ferdiana Kusuma; Grezio Arifiyan Primajaya; Renovita Edelani; Asy Syaffa Khoirunnisa; Adam Ghazy Al Falah
El-Mujtama: Jurnal Pengabdian Masyarakat  Vol. 6 No. 1 (2026): El-Mujtama: Jurnal Pengabdian Masyarakat
Publisher : Intitut Agama Islam Nasional Laa Roiba Bogor

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47467/elmujtama.v6i1.10826

Abstract

Digital transformation in the public sector has encouraged the development of queuing systems that not only organize service flows but also provide faster and more accurate access to information for citizens. Gebang Putih Urban Village, a community partner of the Electronic Engineering Polytechnic Institute of Surabaya (PENS), implemented a digital queuing system based on Android and web platforms in 2024; however, the system still had limitations in terms of responsiveness and communication channels with citizens. This community service activity focuses on the technical optimization of the queuing system by integrating a chat-based interaction feature into the mobile application and simplifying the queue number retrieval flow through conversational interaction. The system was developed using a User-centered design (UCD) approach, with key stages including needs analysis based on the evaluation of the previous system, design of a new system architecture, implementation of chat integration, and internal testing with urban village officers as key users. The optimization results cover three main technical aspects: (1) integration of the chat service module into the mobile application without modifying the core queuing logic, (2) a queue number retrieval feature via chat that is directly connected to the digital queuing module, and (3) a two-way chat channel between citizens and officers facilitated through a web-based dashboard. Internal trials indicate improvements in service workflows, reduced face-to-face interactions for simple inquiries, and increased staff understanding of how to use the digital system. From a community engagement perspective, this work represents a development and capacity-building phase that strengthens officers’ ability to manage technology-based services and provides a technical foundation that is ready to be disseminated and replicated in other urban villages with minimal adaptation.
Water Quality Control System Based on Web Application for Monitoring Shrimp Cultivation in Sidoarjo, East Java Arna Fariza; Setiawardhana Setiawardhana; Bima Sena Bayu Dewantara; Aliridho Barakbah; Dadet Pramadihanto; Idris Winarno; Tessy Badriyah; Tri Harsono; Iwan Syarif; Wahjoe Tjatur Sesulihatien; Puspasari Susanti; Achmad Thorikul Huda; Oktavia Citra Resmi Rachmawati; Izza Nur Afifah; Rudi Kurniawan; Silfiana Nur Hamida
GUYUB: Journal of Community Engagement Vol 4, No 3 (2023)
Publisher : Universitas Nurul Jadid

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33650/guyub.v4i3.7245

Abstract

Shrimp farming plays a crucial role to the Indonesian economy, but it is facing challenges from shifting weather patterns and global warming. This research focuses on the development and implementation of a web-based water quality monitoring system for shrimp farming to address these concerns. The research, conducted in collaboration with shrimp farmers in Sidoarjo, East Java, introduces PENS Aquaculture program, which is designed to efficiently monitor pH, salinity, and temperature. The system employs Internet ofThings (IoT) technology, which allows farmers to register several ponds, analyze water parameters, and receive real-time data through tables and graphs. The research takes a mixed-methods approach, integrating quantitative data from IoT devices with qualitative insights gathered through surveys and interviews with shrimp farmers. The study aims to evaluate the influence of IoT technology on shrimp pond quality and its contribution to the production. The findings show that PENS Aquaculture application is helpful in increasing shrimp farming efficiency, providing significant insights for the fisheries and cultural sectors.
Co-Authors Achmad Thorikul Huda Adam Ghazy Al Falah Adam Prugel-Bennett Agung Muliawan Ahmad Syauqi Ahsan Ahsan, Ahmad Syauqi Aidil Saputra Kirsan Aidil Saputra Kirsan Aji , Rendra Suprobo Al Falah, Adam Ghazy Alfaqih, Wildan Maulana Akbar Ali Ridho Barakbah Alwan Fauzi Amalia Wirdatul Hidayah Andhik Ampuh Yunanto APRIANDY, KEVIN ILHAM Ardhani, Misbahul Arna Fariza Assodiky, Hilmy Assodiky, Hilmy Asy Syaffa Khoirunnisa Ayu Ahadi Ningrum Aziz, Adam Shidqul Bagas Dewangkara Bima Sena Bayu Dewantara Binti Kholifah Dadet Pramadihanto Daisy Rahmania Syarif Darmawan, Zakha Maisat Eka Desy Intan Permatasari Desy Intan Permatasari, Desy Intan Deyana Kusuma Wardani Dian Neipa Purnamasari Dimas Bagus Santoso Dona Wahyudi Dzulfiqar, Achmad Fakhri Edelani, Renovita Edi Satriyanto Entin Martiana Kusumaningtyas Fahrudin, Tresna Maulana Fahrudin, Tresna Maulana Fakhri, Haidar Fathoni, Kholid Fauzy, Aryazaky Iman Ferry Astika Saputra Ferry Astika Saputra Ferry Astika Saputra Fitri Setyorini Gary Wills Grezio Arifiyan Primajaya Gunawan, Agus Indra Hardiyanti, Fitriani Rohmah Hasan Basri Hidayah, Amalia Wirdatul Hidayah, Nadila Wirdatul Hisyam, Masfu Hisyam, Masfu Idris Winarno Izza Nur Afifah Khoirunnisa, Asy Syaffa Kholifah, Binti Kindarya, Fabyan Kusuma, Harun Indra Kusuma, Selvia Ferdiana M Udin Harun Al Rasyid, M Udin Harun Mahardhika, Yesta Medya Maulana, Yufri Isnaini Rochmat Maulana, Yufri Isnaini Rochmat Mayangsari, Mustika Kurnia Mufid, Mohammad Robihul Mufid, Mohammad Robihul Muhammad Fajrul Falah Muhlis Tahir Nadila Wirdatul Hidayah Nana Ramadijanti Nana Ramadijanti, Nana Novie Ayub Windarko Nur Rosyid Mubtadai Nur Rosyid Mubtadai, Nur Rosyid Nur Sakinah Nur Ulima Rusmayani Oktavia Citra Resmi Rachmawati Osamah Abdullah Yahya Amran Prasetyo Primajaya, Grezio Arifiyan Puspasari Susanti Rabiatul Adawiyah Reesa Akbar Rengga Asmara Rengga Asmara Renovita Edelani Riyanto Sigit, Riyanto Rizky Yuniar Hakkun Rosmaliati, Rosmaliati Rozie, Fachrul Rudi Kurniawan Rudi Kurniawan Rulisiana Widodo S, Ferry Astika S, Ferry Astika Sa'adah, Umi Selvia Ferdiana Kusuma Setiawardhana Setiawardhana Setiawardhana, Setiawardhana Shabirin, Irsal Silfiana Nur Hamida Sritrusta Sukaridhoto Sudaryanto, Aris Sumarsono, Irwan Tahir, Muhlis Tessy Badriyah, Tessy Tri Harsono Ubed, Imanullah Ali Umi Sa'adah Utomo, Agus Priyo Wahjoe Tjatur Sesulihatien Walujo, Ivana Yudith Wibowo, Prasetyo Willy Sandhika