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WEB-BASED STUDENT ADMINISTRATION INFORMATION SYSTEM IN TSANAWIYAH NEGERI 2 SEMARANG MADRASAH Zaenal Mustofa; Wahyu Efendy Yusuf; Maya Utami Dewi
Journal of Engineering, Electrical and Informatics Vol 1 No 2 (2021): Juni: Journal of Engineering, Electrical and Informatics:
Publisher : Pusat Riset dan Inovasi Nasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/jeei.v1i2.893

Abstract

The problem of repetitive work carried out by homeroom teachers when processing grades at school is the main problem experienced by every homeroom teacher at school. A good academic system is needed because it is able to minimize the work of the homeroom teacher. MTs Negeri 2 Semarang in processing value data reporting still uses the conventional method, namely by filling in the value leger. The teaching teacher fills the value data into the grade leger according to each subject. Then the homeroom teacher reported in the form of grades per subject. Then from the value data per subject the homeroom teacher must reprocess it into grades per student and print it. This will be a repetitive task if the homeroom teacher also serves as a teaching teacher. The report still uses copy and paste from flash to flash which has a very high risk of losing data. This is coupled with the school building which is divided into two buildings with a considerable distance between the old building and the new building which makes teaching teachers feel reluctant to report grades. To solve the existing problems, the authors propose a web-based value data administration system at MTs Negeri 2 Semarang which will make it easier for teachers to process and report value data. The program is expected to be able to deal with existing problems and ease the work of the homeroom teacher.
Penggunaan Model Deep Learning Untuk Meningkatkan Efisiensi Dalam Aplikasi Machine Learning Siswanto Siswanto; Maya Utami Dewi; Siti Kholifah; Greget Widhiati; Widya Aryani
JURNAL PENELITIAN SISTEM INFORMASI (JPSI) Vol. 1 No. 4 (2023): NOVEMBER : JURNAL PENELITIAN SISTEM INFORMASI
Publisher : Institut Teknologi dan Bisnis (ITB) Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54066/jpsi.v1i4.1619

Abstract

The use of deep learning models has become a major focus in optimizing the efficiency of machine learning applications. This research discusses various deep learning models that can be applied to improve efficiency in the context of machine learning applications. These models are designed to handle the complexity of machine learning tasks with a high level of accuracy while still considering aspects of computational efficiency. This article involves an in-depth look at several deep learning models that have proven effective in various application domains. Discussion includes the use of convolutional neural network (CNNs) models for image processing, recurrent neural networks (RNNs) for sequential data, and transformer-based models for natural language processing tasks. In addition, deep learning model tuning and optimization strategies, such as pruning and quantization, are also discussed to improve the efficient use of computing resources. This research identifies challenges and opportunities in integrating these deep learning models into machine learning applications with maximum efficiency. By considering the need for accuracy and limited computational resources, this research provides a holistic view of the approaches that can be applied to deal with complexity in diverse machine learning scenarios. The results are expected to provide a significant contribution to the development of efficient and effective machine learning applications.
REDUCING THE SHOOTING OF HYBRID PHOTOVOLTAIC PLANTS ON SCR AND LI-GRIDS Maya Utami Dewi; Sulartopo Sulartopo; Ahmad Solechan
Journal of Technology Informatics and Engineering Vol 1 No 3 (2022): December: Journal of Technology Informatics and Engineering
Publisher : University of Science and Computer Technology

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51903/jtie.v1i3.147

Abstract

The main threat by comparable methods lately is the temporary downtime for accurate-current network dispatch errors. Throughout a temporary outage, Power Electronic based power sources stop operating, giving rise to possible security defiance towards the network, in this research, the potentially viable choice to serve continuous work temporarily for the scheme is provided with consideration of identifying upgrades to existing photovoltaic generators (photovoltaic generators discrete) and an upgrade in the separate establishment of existing “photovoltaic” and “Energy Storage Systems” discrete hybrid photovoltaics. This study aims to find a series of power sources with Power Electronic interfaces that are connected to a low “Short Circuit Ratio” network and “Low Inertia” grid to operate without a moment's stoppage. The proposed method was proved by adopting PSS/e on a method where power electronics-occupying assets produce the majority of energy. Inverter models along with temporary shutdown through an equal 3-period fault were advanced in PSS/e. together with increasing infiltration of “Power Electronics” established multitude and resources, progressive completion is needed to improve network stability in low a) areas and low inertia networks. The requirements for progressive solvent arose out of the steady variation in the paradigm of the power grid from the dominant systems of traditional electric machines to the high penetration of systems based on power electronics. A technical comparison was made between distinct categories of resolution (divergent photovoltaic and divergent hybrid photovoltaic) to operate a photovoltaic generator's weak “Short Circuit Ratios” also “Low Inertia” grating (grid). The results of this study indicate that the proposed solution is calculated nether disparate running term and error class adopting the Electromagnetic Transient model. Moreover, to analyze distinct solvents, a specialized proportion is served on discrete hybrid photovoltaic generators. The proposed solution is the development of conventional increase as well as contemporary condensers, deter capacitors, and reducers to advanced photovoltaic generators and hybrid photovoltaic generators to provide voltage support to ensure continuous working through lopsided dispatch streak disturbances, and another solution is photovoltaic-energy generation. Integrated storage system connected to High Voltage dc and high voltage ac transmission network.
SISTEM INFORMASI MANAJEMEN PENGOLAHAN DATA ASET MATERIAL PROMOSI MENGGUNAKAN QR CODE Siswanto Siswanto; Maya Utami Dewi
E-Bisnis : Jurnal Ilmiah Ekonomi dan Bisnis Vol 13 No 1 (2020): Jurnal Ilmiah Ekonomi dan Bisnis
Publisher : STEKOM PRESS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51903/e-bisnis.v13i1.233

Abstract

The development of smartphones today is very rapid and can not be separated in everyday life in finding information or making information and in all fields of work requires communication tools to access data and information, it is no wonder in terms of smartphone work being an inseparable part separate, this research I use smartphone especially Android which is currently one of the operational systems that are commonly used by the public especially Indonesia so that it can be used to help team performance in the field in this case Merchandiser in conducting Data Processing Asset Material Promotion Using Qr Code to monitor and control the allocation of promotional material assets in the field to facilitate reporting of promotional material assets. QR Code is a two-dimensional matrix code or barcode that comes from the word "Quick Response", where the contents of the code can be deciphered quickly and precisely, Optimizing the use of applications in this case QR code to facilitate monitoring and control of promotional materials in the field which will help merchandiser to help make it easier to do work in the field and directly connected to the admin computer at the head office, so it will be easy, fast, and accurate.
WEB-BASED STUDENT ADMINISTRATION INFORMATION SYSTEM IN TSANAWIYAH NEGERI 2 SEMARANG MADRASAH Zaenal Mustofa; Wahyu Efendy Yusuf; Maya Utami Dewi
Journal of Engineering, Electrical and Informatics Vol. 1 No. 2 (2021): Juni: Journal of Engineering, Electrical and Informatics:
Publisher : Pusat Riset dan Inovasi Nasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/jeei.v1i2.893

Abstract

The problem of repetitive work carried out by homeroom teachers when processing grades at school is the main problem experienced by every homeroom teacher at school. A good academic system is needed because it is able to minimize the work of the homeroom teacher. MTs Negeri 2 Semarang in processing value data reporting still uses the conventional method, namely by filling in the value leger. The teaching teacher fills the value data into the grade leger according to each subject. Then the homeroom teacher reported in the form of grades per subject. Then from the value data per subject the homeroom teacher must reprocess it into grades per student and print it. This will be a repetitive task if the homeroom teacher also serves as a teaching teacher. The report still uses copy and paste from flash to flash which has a very high risk of losing data. This is coupled with the school building which is divided into two buildings with a considerable distance between the old building and the new building which makes teaching teachers feel reluctant to report grades. To solve the existing problems, the authors propose a web-based value data administration system at MTs Negeri 2 Semarang which will make it easier for teachers to process and report value data. The program is expected to be able to deal with existing problems and ease the work of the homeroom teacher.
Systematic Literature Review on the Application of Blockchain in Enhancing Server Security: Research Methods for Mitigating Ransomware and Malware Attacks Danang Danang; Maya Utami Dewi; Widya Aryani
International Journal of Computer Technology and Science Vol. 1 No. 4 (2024): October: International Journal of Computer Technology and Science
Publisher : Asosiasi Riset Teknik Elektro dan Infomatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62951/ijcts.v1i4.186

Abstract

This study aims to explore the application of blockchain in enhancing server security to mitigate ransomware and malware attacks in critical infrastructures such as healthcare, finance, and government sectors. Using a systematic literature review (SLR) approach, the research collects articles from four major databases (IEEE Xplore, Scopus, ScienceDirect, and SpringerLink) published between 2020 and 2024. The search focuses on keywords related to blockchain, server security, ransomware, malware, and attack mitigation. The results indicate that blockchain enhances data integrity, transaction security, and strengthens access control to protect sensitive data. Moreover, integrating blockchain with intrusion detection systems (IDS) and using smart contracts accelerates threat detection and response, allowing for automatic blocking and data recovery from attacks. This technology reduces reliance on manual intervention and increases operational efficiency. However, the main challenges in its implementation include high implementation costs, scalability, and technical complexity. Nevertheless, blockchain offers significant solutions for mitigating ransomware and malware attacks while enhancing the reliability and efficiency of systems. In conclusion, blockchain provides an effective solution for server security and cyber threat mitigation, although challenges related to cost and scalability need to be addressed. Further research is required to develop more efficient blockchain protocols and integrate them with other technologies to enhance threat detection and response speed.
RANCANG BANGUN SISTEM MANAJEMEN PERSEDIAAN PRODUK HADIAH UNTUK DUKUNGAN DIVISI PEMASARAN PADA KANTOR CABANG PT. FAJAR LESTARI SEJATI DENGAN PENERAPAN TEKNOLOGI QR CODE BERBASIS WEB Kinanti Sekar Arum; Maya Utami Dewi; Migunani Migunani; Khoirur Rozikin; Febryantahanuji Febryantahanuji
Dinamika: Jurnal Manajemen Sosial Ekonomi Vol. 4 No. 2 (2024): DINAMIKA : Jurnal Manajemen Sosial Ekonomi
Publisher : LPPM Sekolah Tinggi Ilmu Ekonomi - Studi Ekonomi Modern

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51903/9mcxwa08

Abstract

PT. Fajar Lestari Sejati was a company engaged in the field of door and window accessories, offering its products from store to store, small projects, and even entering large-scale projects. PT. Fajar Lestari Sejati was still managing promotional goods manually in the marketing division, encountering difficulties in tracking or checking goods entering and leaving the warehouse. Additionally, there were discrepancies between the physical stock and the recorded data. The purpose of this research was to design an inventory management system for promotional products to support the marketing division at PT. Fajar Lestari Sejati's branch office by implementing QR Code technology. This research resulted in a web-based application integrated with a database, providing users with easy and fast access to perform data entry, transactions, and reporting processes related to inventory control.
Perancangan Sistem Informasi Pembayaran SPP Berbasis Web : Studi Kasus Pada : Pondok Pesantren Darul Musthofa Wirosari-Grobogan Anita Rusmiati; Maya Utami Dewi; Siti Kholifah; Siswanto Siswanto
Saturnus : Jurnal Teknologi dan Sistem Informasi Vol. 2 No. 3 (2024): Juli : Saturnus : Jurnal Teknologi dan Sistem Informasi
Publisher : Asosiasi Riset Teknik Elektro dan Informatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/saturnus.v2i3.329

Abstract

Darul Musthofa Wirosari Grobogan Islamic Boarding School is a boarding school where the tuition payment system still uses a manual system which later the administration section will make a report to the head of the boarding school. The formulation of this problem is an information system so that there is no double recording and books are easily torn so that transaction records are easily lost. The purpose of this study is to create a tuition payment information system to facilitate the creation of reports/data recording is still manual in books. As well as a summary of data one by one manually which results in recording taking a long time. The system developed in this study is web-based visual code software, storage is one in a MySQL database and makes it easy for users to record tuition fees with accurate results so as to reduce the risk of errors, loss and data manipulation
Federated Hybrid CNN GRU and COBCO Optimized Elman Neural Network for Real Time DDoS Detection in Cloud Edge Environments Danang Danang; Maya Utami Dewi; Greget Widhiati
International Journal of Electrical Engineering, Mathematics and Computer Science Vol. 2 No. 2 (2025): International Journal of Electrical Engineering, Mathematics and Computer Scien
Publisher : Asosiasi Riset Teknik Elektro dan Infomatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62951/ijeemcs.v2i2.293

Abstract

Improvement amount Distributed Denial of Service (DDoS) attacks in cloud infrastructure and edge computing demands solution adaptive, distributed, and efficient detection in a way computing. Research This propose an optimized Federated Learning (FL) based DDoS detection model using Centroid Opposition-Based Bacterial Colony Optimization (COBCO) to training the Elman Neural Network (ENN). The proposed architecture consists of of two components Main: on the edge node side, a hybrid Convolutional Neural Network–Gated Recurrent Unit (CNN–GRU) model is used to extraction feature local from traffic data network, while on the server side, model parameters from each node are collected and used for training an optimized ENN with COBCO. Approach This aim increase accuracy detection at a time maintain efficiency local data communication and privacy. In progress experimental, model tested use three benchmark datasets: NSL-KDD, CICIDS2017, and CICDDoS2019. The preprocessing process includes feature encoding categorical, normalization numeric, class balancing using SMOTE, as well as validation cross (k-fold). Initial results show that combination of FL, CNN–GRU, and COBCO–ENN produces improvement significant in accuracy and time convergence compared to approach conventional such as PSO, GA, and non- federative models. In addition, the proposed model capable maintain performance detection tall although executed in edge environment with limitations source Power.  Study This give contribution important in development system scalable, privacy-preserving, and adaptive intelligent DDoS detection to dynamics Then cross modern network. Integration of FL and COBCO in ENN training shows potential big for used in implementation real in cloud-edge infrastructure. In addition, the proposed model demonstrates strong scalability and adaptability, making it highly suitable for dynamic and evolving network environments.
Implementasi Sistem Informasi Monitoring Survei SUSENAS dengan Metode RAD pada BPS Kabupaten Luwu Timur Deni Candra Saputra; Migunani Migunani; Maya Utami Dewi; Khoirur Rozikin; Arsito Ari Kuncoro
Jurnal Manajemen Informatika & Teknologi Vol. 5 No. 2 (2025): Oktober : Jurnal Manajemen Informatika & Teknologi
Publisher : LPPM Sekolah Tinggi Ilmu Ekonomi - Studi Ekonomi Modern

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51903/k3haed13

Abstract

This study aims to develop a web-based information system to facilitate the monitoring process of the National Socio-Economic Survey (SUSENAS) activities conducted by partners of the Central Bureau of Statistics (BPS) in Luwu Timur Regency. The main issues identified include the use of manual methods, such as Google Sheets for partner monitoring, and the Pencil and Paper Interviewing (PAPI) method for marking survey area coordinates, both considered inefficient and prone to errors. The system development employed the Rapid Application Development (RAD) method, which allows for an iterative process and active user involvement in every development phase. The result of this study is an information system equipped with project management features, real-time partner monitoring, survey reporting through document uploads, and survey location tracking integrated with OpenStreetMap using the Leaflet.js library. The developed system has proven effective in enhancing the accuracy, efficiency, and overall effectiveness of  SUSENAS field operations.