Taufik Hidayat

@unwir.ac.id

Department of Computer Engineering
Universitas Wiralodra



                 

https://researchid.co/taufik6161
9

Scopus Publications

159

Scholar Citations

4

Scholar h-index

5

Scholar i10-index

Scopus Publications

  • Machine Learning to Estimate Workload and Balance Resources with Live Migration and VM Placement
    Taufik Hidayat, Kalamullah Ramli, Nadia Thereza, Amarudin Daulay, Rushendra Rushendra, and Rahutomo Mahardiko
    MDPI AG
    Currently, utilizing virtualization technology in data centers often imposes an increasing burden on the host machine (HM), leading to a decline in VM performance. To address this issue, live virtual migration (LVM) is employed to alleviate the load on the VM. This study introduces a hybrid machine learning model designed to estimate the direct migration of pre-copied migration virtual machines within the data center. The proposed model integrates Markov Decision Process (MDP), genetic algorithm (GA), and random forest (RF) algorithms to forecast the prioritized movement of virtual machines and identify the optimal host machine target. The hybrid models achieve a 99% accuracy rate with quicker training times compared to the previous studies that utilized K-nearest neighbor, decision tree classification, support vector machines, logistic regression, and neural networks. The authors recommend further exploration of a deep learning approach (DL) to address other data center performance issues. This paper outlines promising strategies for enhancing virtual machine migration in data centers. The hybrid models demonstrate high accuracy and faster training times than previous research, indicating the potential for optimizing virtual machine placement and minimizing downtime. The authors emphasize the significance of considering data center performance and propose further investigation. Moreover, it would be beneficial to delve into the practical implementation and dissemination of the proposed model in real-world data centers.


  • Indonesian Higher Education Institution’s Strategy toward Disruption with Implementation of Infinite Games Mindset
    Indra Surya Permana, Andinna Ananda Yusuff, Fardhoni Fardhoni, Tengku Muhammad Elzafir Habsjah, and Taufik Hidayat
    MECS Publisher
    ,

  • THE ANALYSIS OF DATA PREPARATION TO VALIDATE MODEL VALUES OF INFORMATION TECHNOLOGY
    Taufik Hidayat, Rahutomo Mahardiko, and Ali Miftakhu Rosyad
    The London Academy of Science and Business Limited
    Currently, there are some methods of preparing data for validating an IT value model correctly. One challenge in applying data mining to validate model values is to convert data into an appropriate form for this activity. Data mining algorithms can then be applied using the prepared data. The adequacy of data preparation often determines whether this data mining is successful or not. This study aims at creating a method for preparing the data during validation. The basic method used for data preparation is the Returns to Scale (RTS) method because it is easy to use and can be combined with further validation results. This method was applied by employing two models: two-factor and three-factor models. Both models are then compared to see the difference between them. The developed model is then tested on Branchless Banking (BB) and Downstream Petroleum (DP) industries. The results show that the method is applicable to prepare the data for validation. In addition, the results also demonstrate that both industries, DP and BB, have different result on data preparation, meaning that DP and BB have different ITs. This research contributes not only to a technique of preparing data for validating an IT value model by the RTS method but also can be a basis to work for data validation because it can give a result with the behaviour of the industry.

  • Forecasting of Indonesian Digital Economy based on Available New Start-up
    , Taufik Hidayat, Rahutomo Mahardiko, and Ali Miftakhu Rosyad
    MECS Publisher
    Since the last 5 years, digital economy is growing steadily in Indonesia. Right now, the digital economy faces some potential problems and Covid-19 pandemic. This paper presents current data of the national Gross Domestic Product (GDP) and other GDPs (billion IDR) and the number of start-up, and predicts near some categories of future GDP and numbers of available new start-up for the next few years. The forecast will use Markov chain analysis. The results indicate that, while there are problems faced by the digital economy industry, the GDP and numbers of start-up are significantly increasing.

  • A Model Statistical during Covid-19 Future E-Commerce Revenue for Indonesia Aviation
    , Taufik Hidayat, Rahutomo Mahardiko, and Ali Miftakhu Rosyad
    MECS Publisher
    Until today, Information Technology (IT) has been felt by aviation industry showed by positive growth of operating revenue before Covid-19 pandemic. The pandemic of Covid-19 changes the world especially the aviation industry by slowing down the business transaction. This study presents statistical model on recent e-commerce revenue of aviation, the number of passengers and the IT investments then predicts future of e-commerce revenue, the number of passengers and the IT spending using Neural Networks. This method is useful to predict the future because it follows the time being. The chosen variables are intended whether IT has an impact during the pandemic for passenger generation year by year. The results show that for the next few years, the revenue, the number of passengers and the IT spending are significantly increasing, while there are problems faced in aviation industry because of Covid-19. This model also can be applied for other industry.

  • Optimizing Art Studio Connectivity: A Haversine and Greedy Algorithm Approach for Navigation in Cirebon Indonesia
    Indra Surya Permana, Teguh Arlovin, Taufik Hidayat, Ivany Sarief, Hanhan Hanafiah Solihin, and Cecep Deni Mulyadi
    IEEE
    The proposed geographic information system (GIS) provides a systematic approach to locating and connecting art studios, enabling cultural institutions, artists, and students to collaborate and share resources more efficiently. The implementation of a structured GIS and Haversine Formula and Greedy Algorithm can improve the management and connectivity of art studios in Cirebon, fostering connections and collaboration between art studios, artists, and cultural institutions. This research used a greedy algorithm to find the shortest route from user’s current location to the destination point, i.e., Art Gallery. The Greedy Algorithm is a problem-solving approach that aims to find an optimal solution by iteratively selecting the best local option. The Haversine formula is used to calculate the distance from each connected node using the haversine formula, which converts latitudes and longitudes from degrees to radians and calculates the differences in latitude and longitude. In implementing the nearest art studio search system, the Haversine Formula combined with Greedy Algorithm can be employed as an alternative for search logic since it can directly calculate the distance from the initial point or user’s selected point by utilizing easily identifiable reference points.

  • TOWARDS IMPROVING 5G QUALITY OF EXPERIENCE: FUZZY AS A MATHEMATICAL MODEL TO MIGRATE VIRTUAL MACHINE SERVER IN THE DEFINED TIME FRAME
    Taufik Hidayat, Kalamullah Ramli, R. Deiny Mardian, and Rahutomo Mahardiko
    Yayasan Riset dan Pengembangan Intelektual
    The industry and government have recently acknowledged and used virtual machines (VM) to promote their businesses. During the process of VM, some problems might occur. The issues, such as a heavy load of memory, a large load of CPU, a massive load of a disk, a high load of network and time-defined migration, might interrupt the business processes. This paper identifies the migration process among hosts for VM to overcome the problem within the defined time frame of migration. The introduction of VMs migration in a timely manner is to detect a problem earlier. There are workload parameters, such as network, CPU, disk and memory as our parameters. To overcome the issue, we have to follow the Model named Fuzzy rule. The rule follows the basic of tree model for decision-making. The application of the fuzzy Model for the study is to determine VMs allocation from busy VMs to vacant VMs for balancing purposes. The result of the study showed that the use of the fuzzy Model to forecast VMs migration based on the defined rule had 2 positive impacts. The positive impacts are (1) Time frame live migration of VMs can reduce workload by 80 %. This aims to reduce failures in performing a live migration of VMs to increase data center performance. (2) In testing, the fuzzy Model can provide results with an accuracy of 90 %, so this model can perform a live migration of VMs precisely in determining the execution time. Next, the workload could be balanced among VMs. This research could be used further to improve 5G Quality of Experience (QoE) shortly.

  • Juridical Analysis of Management Hospital Liquid Waste in Perspective Environmental Health Law


  • Analysis of future income forecast for Indonesian tourism industry – A neural network research on tourism digital economy
    T Hidayat, R Mahardiko, and M Alaydrus
    IOP Publishing
    Information Technology (IT) is an enabler for Indonesian tourism industry. Before Covid-19 pandemic, the industry already felt the effect of IT. The pandemic changes the global industry situation. This paper presents mathematical model on the number of tourism start-up, the number of local and international tourists, and national Gross Domestic Product (GDP). The results of this study show that while there are problems because of Covid-19 pandemic in the following year, the future income of tourism industry shows steady growth. The model can be used by other industry for better analysis.

  • Improvement of power transfer efficiency of hexagonal coil arrays in misalignment conditions
    Sianturi Tigor Franky Devano, Taufik Hidayat, and Mudrik Alaydrus
    Institute of Advanced Engineering and Science
    <span>Wireless charging by transferring energy between two objects using electromagnetic fields commonly called Wireless power transfer is an alternative technology that is physically installed in an electric vehicle (EV) to charge. Parking alignment is a very important factor in driver behavior that affects Power transfer efficiency (PTE). The proposed hexagonal coil array design in this experiment is to optimize PTE and receiver coil size. The experimental results show that PTE in the tangential boundary plane Misalignment increases by 5-10% when compared to coil array circles and increases by 82% when compared to single coil circles. </span>

  • Users' Intentions and Behaviors Toward Portable Scanner Application - Do Education and Employment Background Moderates the Effect of UTAUT Main Theory?
    I S Permana, T Hidayat, and R Mahardiko
    IOP Publishing
    The use of the Android Operating System in almost all smartphones in the world broadens the possibility of how people use the smartphones itself, including the use of smartphone cameras as an alternative to scanners. This article discusses how people behave in using the scanner application on smartphones for the purpose of document scanning. The method used here is the Extended Unified Theory of Acceptance and Use of Technology (UTAUT) analysis or called UTAUT2 with the addition of moderating variables outside the UTAUT2 model, namely the level of education and employment of 296 respondents that explores some questions regarding their behavior in using portable scanner application on their smartphones. The results of this study show that not all factors in UTAUT affect people’s desire to use this application. Some factors which also have a partial result is the moderating effect of the factors of age, experience, level of education and employment.

  • A mathematical model to forecast future banking income
    Taufik Hidayat and Rahutomo Mahardiko
    Inderscience Publishers

  • Voice and SMS Mobile Technology Switch-Off in Each Indonesian Region Identifying Small Revenue
    Indra Surya Permana, Taufik Hidayat, and Rahutomo Mahardiko
    IEEE
    The deployment of Indonesian telecommunication industry especially in mobile broadband 2G,3G and 4G technologies had several problems because of large and archipelagic territory. The large territory of this country caused some outer areas to force network provider to support 3G network whereas some other smaller areas have 2G network only. This study presented the region capacity in Indonesia, the number of Base Transceiver Station (BTS sites) in each territory, divided among 2G, 3G and 4G technologies, and revenue growth (%) and then analyses the 2G operation switchoff with ANOVA analysis. This method is suitable to find the result because of the significant difference and influence of many factors (3 variables in this research). The study reviewed the economic factor such as revenue growth from each band 2G,3G and 4G operation in each region which ended up that the operator should consider to switch-off the 2G network in some regions. The research also contributed not only for to the telecommunication technology advancement in Indonesia but also for the consideration to network provider to gradually switch-of fthe 2G technology in each Indonesian area to move to better technology such as 5G technology.

  • Validation of Information Technology Value Model for Petroleum Industry
    Taufik Hidayat and Rahutomo Mahardiko
    IEEE
    Nowadays, method has been used to validate Information Technology (IT) value model for oil and gas industry. The purpose of this research is to validate IT value model that has been derived from existing studies. To do the validation, dynamic Partial Adjustment Valuation (PAV) can be carried out. The method is conducted by comparing Average Performance Ratio (APR) between two factors (without IT) model and three factors (with IT) model. The result indicates that APR of three factors model is higher than two factors model. It can be concluded that the model is valid. This research gives contribution to the growing body of knowledge in examining IT for oil and gas industry by using Resource-Based View (RBV).

  • Effect of Android and Social Media User Growth on the Financial Technology Lending Borrowers and its Financing
    Indra Surya Permana, Taufik Hidayat, and Rahutomo Mahardiko
    IEEE
    Peer to peer lending on financial technology (fintech) is a new breakthrough in the field of finance where it changes the paradigm of people in making transactions, especially in term of financing. This is due to the rapid growth of smartphones user throughout the world, including Indonesia. In addition, the huge amount of social media use also increases engagement rate in using this service. This study discusses effect of the smartphone and social media user growth to number of borrowers as well as total loans through fintech lending because of current condition in fintech situation. The method used in this research is structural equation modeling. The results turned out that smartphone and social media factors had different effects significantly, some of which have both negative and positive effects, both on the number of borrowers and on the total loan.

  • Model Development of Information Technology Value for Downstream Petroleum Industry
    Taufik Hidayat and Rahutomo Mahardiko
    IEEE
    Until today, industries know about their Information Technology (IT) spending year by year. Those industries calculate and understand that the spending always grows. The problem is they only know that their IT spending is just costs and no effect to performance in term of revenue. This study aim is to create model that can explain relation between IT spending and industry's performance. The research process employs IT value analysis as a basis. This approach can generate IT value through capabilities and core competencies. Hence it will impact on performance. The study will employ Downstream Petroleum (DP) industry. We take DP because the case study is non IT industry. As non IT industry, DP industry only spends low cost on IT. The industry has a need to know the IT value. The research result shows that certain IT resources may have positive impacts to IT value by deploying IT value model.

  • Forecast Analysis of Research Chance on AES Algorithm to Encrypt during Data Transmission on Cloud Computing
    Taufik Hidayat, D Sianturi Tigor Franky, and Rahutomo Mahardiko
    IEEE
    Cloud computing can be described as a network technology among users to share data, resources and even services. Because million users have the same rights to use network for data transmission, data is vulnerable to be hacked by irresponsible person. The concentration of security on current system can only be found on data storage on cloud, meanwhile less concentration is found on data transmission. As we determine security can be potential issue, the proposed system (encryption) will secure data transfer. The proposed system, Advanced Encryption Standard (AES) algorithm, will anticipate every irresponsible person to hack cloud system. The proposed algorithm will encrypt and decrypt information on data transmission and storage. To improve published research on security of data transmission by using AES algorithm is the paper purpose. In order to do that, the research will use several mathematical methods. There are Markov Chain and Forecasting methods. Research results show that there are possibilities to research on AES algorithm for security of data transmission in the near future by 29% in 2023.

  • Method of Systematic Literature Review for Internet of Things in ZigBee Smart Agriculture
    Taufik Hidayat, Rahutomo Mahardiko, and Franky D. Sianturi Tigor
    IEEE
    Lately, utilization of Wireless Sensor Network (WSN) technology is increasing and widely applied in various fields. WSN is currently applied for Internet of Things (IoT)-based agriculture. An example of WSN technology is ZigBee. ZigBee provides irrigation control, climate monitoring and food chain control systems. To support all mentioned systems, ZigBee’s IoT supports communication among available sensors. By having communication, ZigBee is expected to improve productivity and predict agriculture problem. The paper will use Systematic Literature Review (SLR) to give an overview that IoT has potential for agriculture. This is because IoT can help every farmer during operational on food and livestock production.

  • The effect of social media regulatory content law in Indonesia
    Taufik Hidayat and Rahutomo Mahardiko
    Telecommunications Association Inc.
    Nowadays, information technology (IT) has been used widely in the world. People use IT in their jobs and get the latest information about everything that happens in the world. Therefore, IT has a big impact on peoples’ lives. Information can be found easily in a news portal, social media, and a search engine. This study used social media WhatsApp, Telegram, Facebook, and Instagram as the primary sources. In using social media, people can share positive (news, current research) or negative (hoax) information. Unfortunately, messages can be shared without verifying their truthfulness. Many people have used social media to share fake news and bullying. Hong Kong, France, Indonesia and Venezuela are examples of countries where a hoax has become the part of peoples’ lives. In Indonesia, the government created a Constitutional Law (CL), Undang-Undang Informasi dan Transaksi Elektronik (CL of Information and Electronic Transactions), to regulate responses to negative information and filter this kind of information. This paper analyses the effect of social media regulatory law and hoax news on social life. The results of this study show that the Indonesian CL could be useful to regulate the use of social media in other countries.


  • Mobile cellular technology forecast for the Indonesian telecommunications industry
    Taufik Hidayat, Rahutomo Mahardiko, and Mudrik Alaydrus
    Telecommunications Association Inc.
    Current mobile telecommunications deployment in Indonesia, based on 2G, 3G and 4G technologies, lags behind many other developing countries because of Indonesia’s larger territory. This paper presents recent data on revenue growth (%) and the number of Base Transceiver Stations (BTSs) in Indonesia, divided among 2G, 3G and 4G technologies, and forecasts future revenue growth and numbers of BTSs for the next few years. The results show that, while revenue growth from 2G operation is decreasing and 4G deployment is significantly increasing, there are still significant revenues from 2G services and many 2G BTSs in operation at the end of the forecast period, making it difficult to shut down the 2G networks in the near future.

  • Energy Efficiency Analysis through Misalignment on New Design of Hexagonal Coil Array in Wireless Power Transfer
    Taufik Hidayat, , Sianturi Tigor Franky D, Rahutomo Mahardiko, , and
    Penerbit UTHM
    From our understanding about WPT, it is a very advanced technology to transmit energy with indirect connection between source and destination [1]. Lots of applications are implementing this technology, such as: (1) electric vehicles (EV), (2) capsule endoscopy, (3) power supplies (underwater or beneath the earth) and so on without any affection [1], [2], [3]. Power transfer applications demand has significantly increased especially in high power. Basically, the required power level must be handled well by converters to transmit power between primary and secondary sides [4], [5]. The problem is that the semiconductor device limitations limit the latest WPT system [6]. In addition, the low reliability of the WPT system is based on magnetic pairing with a single transmitter and receiver because it only has one energy transmission channel [7]. This is not suitable for applications that require power up to hundreds of KVA to MW. Therefore, WPT applications with various conditions including large incompatibilities must be able to meet the requirements with high efficiency transmission [8]. Lately, EV is one of the most common applications of WPT technology [9]. Abstract: Nowadays, the transportation changes are happening in the Electric Vehicle (EV). Changes are made from cable to Wireless Power Transfer (WPT) as a solution. Current state of the implementation, there is still a misalignment on Power Transfer Efficiency (PTE) because of parking behavior. To overcome the problem, we propose new coil design for better optimization of the PTE. In addition, the new design has better size reduction of receiver (Rx) coil. Our experimental research is about to simulate Rx and transmitter (Tx) designs in simple and small scale of parking situations. The results show that an incremental PTE in the center of the coil, an incremental PTE during misalignment on a radius array, and an incremental PTE during misalignment tangential boundary. We conclude that overall better PTE is achieved compared to single coil design and circular coil arrays.

  • Performance Analysis and Mitigation of Virtual Machine Server by using Naive Bayes Classification
    Taufik Hidayat and Mudrik Alaydrus
    IEEE
    Evolution of virtualization in data center is fast and is being widely used in the world. Usage of virtual machine (VM) in data center (DC) cannot be aside from problems such as: Operating System (OS) problem, virtual network, memory and CPU utilizations. Besides of those problems, utilization of VM can be found in cloud computing technology to make more efficient and its performance should be good entirely. Problem in VM is very complex. It can be found in OS, application and physical server. To keep it in good performance, operational engineer should operate VM monitoring system in order to keep VM run well. This research will use several methods, such as: fuzzy Mamdani, holdout validation and naive Bayes. These methods will then create decision making for VM performance condition.

RECENT SCHOLAR PUBLICATIONS

  • Unveiling the Cybercrime Ecosystem: Impact of Ransomware-as-a-Service (RaaS) in Indonesia
    B Wibowo, L Hafiz, T Hidayat
    International Journal of Science Education and Cultural Studies 4 (1), 11-21 2025

  • Strategi Efektif dalam Meningkatkan Kesadaran Keamanan Siber terhadap Ancaman Phishing di Lingkungan Perusahaan PT. XYZ
    B Wibowo, T Hidayat
    Jurnal Pengabdian Masyarakat Sultan Indonesia 2 (1), 1-9 2025

  • Machine Learning to Estimate Workload and Balance Resources with Live Migration and VM Placement
    T Hidayat, K Ramli, N Thereza, A Daulay, R Rushendra, R Mahardiko
    Informatics 11 (3), 50 2024

  • Implementation of E-learning Through Teacher’s Self-Efficacy and Their Technology Readines
    T Hidayat
    International Journal of Science Education and Cultural Studies 3 (1), 46-60 2024

  • Implementation of Attribute-Base Control in Personal Data Protection
    S Wibawa, A Gani, T Hidayat
    International Journal of Engineering Continuity 3 (1), 86-98 2024

  • Key Points on Robot Navigation and Its Practical Uses in the Field of Manufacturing
    H Suwoyo, J Andika, T Hidayat
    International Journal of Engineering Continuity 3 (1), 59-85 2024

  • Strategic Evaluation and Economic Impact of Fibre Optic Infrastructure
    NR Fachrurrozi, SN Yutia, Y Natali, JJ dos Reis Costa, T Hidayat
    Virtual Economics 7 (1), 47–65-47–65 2024

  • Peranan Penggunaan Internet dan Sosial Media dalam Meningkatkan Kegiatan Produktif Bagi Masyarakat
    JFN Wulan, T Hidayat
    Jurnal Pengabdian Masyarakat Sultan Indonesia 1 (2), 25-30 2024

  • Pengamatan Dampak Pengaruh Kelembahan Suhu Bagi Pelaku Usaha Tanaman Jamur
    D Rusjayanti, T Sutiyono, T Hidayat
    Jurnal Pengabdian Masyarakat Sultan Indonesia 1 (1), 33-38 2024

  • Dialog Komunitas: Menggabungkan Teknologi dan Metodologi Mengajar Inovatif di Sekolah
    A Gani, T Hidayat
    Jurnal Pengabdian Masyarakat Sultan Indonesia 1 (1), 15-23 2024

  • Evaluasi Penerapan Belajar E-larning dalam pendalaman materi pada Universitas Wiralodra
    CL Haura, TF Putri, T Hidayat
    Jurnal Pengabdian Masyarakat Sultan Indonesia 1 (1), 1-6 2024

  • Workshop Pembuatan Konten Edukasi Digital untuk Pendidikan Anak Usia Dini
    A Gani, T Hidayat
    Jurnal Pengabdian Masyarakat Sultan Indonesia 1 (1), 7-14 2024

  • Desain Sistem Pelayanan Lingkungan RT/RW untuk Meningkatkan Pelayanan Masyarakat
    T Hidayat, A Gani
    Jurnal Komputer dan Elektro Sains 2 (1), 10-13 2024

  • Optimizing Art Studio Connectivity: A Haversine and Greedy Algorithm Approach for Navigation in Cirebon Indonesia
    IS Permana, T Arlovin, T Hidayat, I Sarief, HH Solihin, CD Mulyadi
    2023 17th International Conference on Telecommunication Systems, Services 2023

  • The Analysis of Data Preparation to Validate Model Values of Information Technology
    T Hidayat, R Mahardiko, AM Rosyad
    Virtual Economics 6 (2), 23-34 2023

  • Towards Improving 5G Quality of Experience: Fuzzy as a Mathematical Model to Migrate Virtual Machine Server in The Defined Time Frame
    T Hidayat, K Ramli, RD Mardian, R Mahardiko
    Journal of Applied Engineering and Technological Science (JAETS) 4 (2), 711-721 2023

  • Forecasting of Indonesian Digital Economy based on Available New Start-up
    T Hidayat, R Mahardiko, AM Rosyad
    International Journal of Information Engineering and Electronic Business 15 2023

  • A Model Statistical during Covid-19 Future E-Commerce Revenue for Indonesia Aviation
    T Hidayat, R Mahardiko, AM Rosyad
    International Journal of Information Engineering and Electronic Business 15 2023

  • Model Pelayanan Sistem Kependudukan dalam Meningkatkan Kualitas Pelayanan Kependudukan
    T Hidayat, A Gani
    JATISI (Jurnal Teknik Informatika dan Sistem Informasi) 9 (4), 3730-3741 2022

  • A SWOT (Strength Weakness Opportunity and Threat) Analysis as a Strategy to Enhance Competitiveness
    M Mardiyana, M Ihsan, A Adrial, H Parida, S Sidiq, T Hidayat
    International Journal of Management Science and Application 1 (1), 18-27 2022

MOST CITED SCHOLAR PUBLICATIONS

  • A Systematic Literature Review Method On AES Algorithm for Data Sharing Encryption On Cloud Computing
    T Hidayat, R Mahardiko
    International Journal of Artificial Intelligence Research 4 (1), 49-57 2020
    Citations: 57

  • Internet of Things Smart Agriculture on ZigBee: A Systematic Review
    T Hidayat
    IncomTech, Jurnal Telekomunikasi dan Komputer, vol. 8, no.1, Juni 2017 2017
    Citations: 39

  • Method of Systematic Literature Review for Internet of Things in ZigBee Smart Agriculture
    T Hidayat, R Mahardiko, ST Franky D
    2020 8th International Conference on Information and Communication 2020
    Citations: 33

  • An Analysis of Online Transportation Applications Between Gojek and Grab for Students
    M Marwiyah, PP Arti, T Hidayat
    International Journal of Science Education and Cultural Studies 1 (1), 52-64 2022
    Citations: 26

  • Forecast Analysis of Research Chance on AES Algorithm to Encrypt During Data Transmission on Cloud Computing
    T Hidayat, ST Franky D, R Mahardiko
    2020 2nd International Conference on Broadband Communications, Wireless 2020
    Citations: 22

  • A Review of Detection of Pest Problem in Rice Farming by using Blockchain and IoT Technologies
    T Hidayat, R Mahardiko
    Journal Of Computer Networks, Architecture and High-Performance Computing 3 2021
    Citations: 21

  • Load Balancing Network by using Round Robin Algorithm: A Systematic Literature Review
    T Hidayat, Y Azzery, R Mahardiko
    Jurnal Online Informatika 4 (2), 85-89 2019
    Citations: 21

  • Mobile Cellular Technology Forecast for the Indonesian Telecommunications Industry
    T Hidayat, R Mahardiko, M Alaydrus
    Journal of Telecommunications and the Digital Economy 8 (1), 37-48 2020
    Citations: 20

  • Encryption Security Sharing Data Cloud Computing by Using AES Algorithm: A Systematic Review
    T Hidayat
    Teknokom 2 (2), 11-16 2019
    Citations: 17

  • Performance Analysis and Mitigation of Virtual Machine Server by using Naive Bayes Classification
    T Hidayat, M Alaydrus
    2019 Fourth International Conference on Informatics and Computing (ICIC), 1-5 2019
    Citations: 13

  • Analisa Keamanan E-commerce Menggunakan Metode AES Algoritma
    L Sodikin, T Hidayat
    Teknokom 3 (2), 8-13 2020
    Citations: 12

  • Users' Intentions and Behaviors Toward Portable Scanner Application - Do Education and Employment Background Moderates the Effect of UTAUT Main Theory
    IS Permana, T Hidayat, R Mahardiko
    2nd International Conference on Enhanced research and Industrial Application 2021
    Citations: 11

  • The Effect of Social Media Regulatory Content Law in Indonesia
    T Hidayat, R Mahardiko
    Journal of Telecommunications and the Digital Economy 8 (2), 110-122 2020
    Citations: 11

  • Analisa Prediksi Pertumbuhan Start-up Di Era Industri 4.0 Menggunakan Metode Markov Chain
    T Hidayat, DY Sari, Y Azzery
    Teknokom 3 (2), 1-7 2020
    Citations: 10

  • Data Encryption Algorithm AES by Using Blockchain Technology: A Review
    T Hidayat, R Mahardiko
    BACA: Jurnal Dokumentasi dan Informasi 2021
    Citations: 9

  • The Analysis of Data Preparation to Validate Model Values of Information Technology
    T Hidayat, R Mahardiko, AM Rosyad
    Virtual Economics 6 (2), 23-34 2023
    Citations: 8

  • Analisis Prediksi Tingkat Kelulusan Mahasiswa Universitas Wiralodra Indramayu Menggunakan Metode Fuzzy Tsukamoto
    M Dandi, K Fernando, T Hidayat
    Teknokom 3 (2), 14-22 2020
    Citations: 7

  • Dialog Komunitas: Menggabungkan Teknologi dan Metodologi Mengajar Inovatif di Sekolah
    A Gani, T Hidayat
    Jurnal Pengabdian Masyarakat Sultan Indonesia 1 (1), 15-23 2024
    Citations: 6

  • A Model Statistical during Covid-19 Future E-Commerce Revenue for Indonesia Aviation
    T Hidayat, R Mahardiko, AM Rosyad
    International Journal of Information Engineering and Electronic Business 15 2023
    Citations: 6

  • A SWOT (Strength Weakness Opportunity and Threat) Analysis as a Strategy to Enhance Competitiveness
    M Mardiyana, M Ihsan, A Adrial, H Parida, S Sidiq, T Hidayat
    International Journal of Management Science and Application 1 (1), 18-27 2022
    Citations: 6