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All Journal International Journal of Artificial Intelligence Research Journal of Education Technology Aptisi Transactions on Management Aptisi Transactions on Technopreneurship (ATT) Indonesian Journal of Electrical Engineering and Computer Science IAIC Transactions on Sustainable Digital Innovation (ITSDI)
Qurotul Aini
University of Raharja
Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Library & Information Science Materials Science & Nanotechnology Social Sciences

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The Management Innovation of Kuliah Kerja Praktek (KKP) Aropria Saulina Panjaitan; Untung Rahardja; Qurotul Aini; Nuke Puji Lestari Santoso; Dwi Apriliasari
APTISI Transactions on Management (ATM) Vol 6 No 1 (2022): ATM (APTISI Transactions on Management: January)
Publisher : Pandawan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33050/atm.v6i1.1603

Abstract

This study aims to provide innovation management for inputting practical work titles online based on Laravel. The rapid development of the positive number of Covid-19 has made the world restless, including the country of Indonesia, which has gone through more than 1 year of the pandemic period starting from March 2020 to May 2021. The surge in positive cases of Covid-19 has had a significant impact on the sustainability of the institution's teaching process. education. Covid-19 is forcing digital transformation towards the 4.0 education era. Technology is the only answer that can help during the pandemic, with technology the teaching and learning process continues, meetings, discussions and other things continue online. With digital transformation, conventional methods have been replaced, one of which is inputting the title ofPractical Job Training (KKP) at Raharja University which utilizes the ability of Ms. Excel. This offline KKP title input service must be replaced, given the existence of Large-scale Social Restrictions which require students to make long-distance contact with the KKP title inputting administrator and reduce the service for filling out forms which are quite time-consuming and the occurrence of data input errors. The method used in this research is the Agilemethod Scrum Tire which is a reference in working on Laravel-based technology. With the presence of this technology, it becomes a finding in replacing conventional methods and breakthroughs in the all-digital pandemic. The application of online KKP input can provide convenience and efficiency in the proces.
Blockchain Innovation: Current and Future Viewpoints for the Travel Industry Untung Rahardja; Qurotul Aini; Sabda Maulana
IAIC Transactions on Sustainable Digital Innovation (ITSDI) Vol 3 No 1 (2021): October
Publisher : International Institute of Advanced Science & Technology (IIAST)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34306/itsdi.v3i1.499

Abstract

Disintermediation of the travel industry in the modern area has the most powerful and successful innovation, obviously with the assistance of Blockchain innovation. The market structure has changed since the appearance of online travel planners. Determined to improve the system for the travel industry that as of now depends on this blockchain innovation, for which the reason for this paper was made, a subjective strategy with semi-organized meetings appears to be appropriate to decide the ideal use to draw out the fundamental capability of this blockchain innovation for the business. the travel industry as per specialists. From the consequences of meetings led just as from the aftereffects of considering the impact of blockchain on business, it tends to be inferred that blockchain innovation is a fitting new advance as far as restricting and forbidding new go betweens in the entrance of the travel industry, subsequently it will prompt the vanishing of go-betweens from the travel industry market and an increment in the framework straightforward that everybody knows.
An Exhaustive Analysis of Stress on Faculty Members Engaged in Higher Education Ankur Singh Bist; Bhupesh Rawat; Untung Rahardja; Qurotul Aini; Anggy Giri Prawiyogi
IAIC Transactions on Sustainable Digital Innovation (ITSDI) Vol 3 No 2 (2022): April
Publisher : International Institute of Advanced Science & Technology (IIAST)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34306/itsdi.v3i2.533

Abstract

Higher education is the face of innovation for any country. The quality and dedication of professors help to maintain quality in this process. With time, parameters were raised to check the quality of professor attributes. In this paper, we discuss all possible parameters taken by universities to evaluate faculty performance. Gradually it grew overhead pressure on professors and impacted the teaching-learning process. Our paper focused on stress parameters with possible solutions for the same issue. The process consists of several parameters to evaluate an employee's performance, such as no publications in conferences and journals, no patents filed, additional responsibilities performed, other qualifications achieved, result in the analysis of courses taught, etc. Still, it also puts a lot of pressure on both of them because they have to balance all this extra work and teaching. This paper focuses on different faculty assessment parameters and their impact on the faculty teaching-learning process. We also propose possible solutions on how this stress can be alleviated, and the existing strategy can be simplified.
GOOD, BAD AND DARK BITCOIN: A Systematic Literature Review Untung Rahardja; Qurotul Aini; Eka Purnama Harahap; Raihan Raihan
Aptisi Transactions On Technopreneurship (ATT) Vol 3 No 2 (2021): September
Publisher : Pandawan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34306/att.v3i2.175

Abstract

Crypto currency investments have been in demand since the popularity of bitcoin. Crypto currency (cryptocurrency) is a currency based on cryptography or digital currency. The birth of bitcoin as one of the important foundations in the formation of the reputation of the crypto currency. Investing in crypto currencies is considered to provide more security and large profits for investors, with a cryptographic system the crypto currency is difficult to hack and fake. This cryptocurrency is also a digital key with encryption capabilities as security and validity, as well as real value that can be exchanged as an option. The most popular type of virtual currency is known as Bitcoin, and its popularity and strength continue to increase. At first glance, Bitcoin is very confusing. But here are ten facts that can be explained in simple terms, exactly what that little coin is and what happens.
Smart Contract Innovation and Blockchain-Based Tokenization in Higher Education I Ketut Gunawan; Ninda Lutfiani; Qurotul Aini; Fitria Marwati Suryaman; Abas Sunarya
Journal of Education Technology Vol. 5 No. 4 (2021): November
Publisher : Universitas Pendidikan Ganesha

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23887/jet.v5i4.40665

Abstract

Blockchain which includes smart contract and tokenization features is the latest technology in the world, especially Indonesia. Smart contracts and tokenization make it very easy for users and can maintain valid data security, but there are still many universities that have not implemented the system so they have to involve many parties and costs. The problem taken in this study is the payment process for transactions such as credit and data processing that is vulnerable to illegal data leakage. This study aims to develop a smart contract system and blockchain tokenization in universities in the payment transaction process. The method used in this research is literature review analysis and testing method. The implementation of smart contracts and tokenization can replace third parties as security guards of transaction data with all Blockchain users paying attention and ensuring the integrity of the entire process and activity. This of course can avoid problems that arise from the presence of third parties in the transaction process. So it can be concluded that the implementation of smart contracts and Blockchain tokenization in payment transactions is the right solution to be applied in the payment transaction process at universities.
iLearning education based on gamification blockchain Qurotul Aini; Nur Azizah; Rahmat Salam; Nuke Puji Lestari Santoso; Shofiyul Millah
Indonesian Journal of Electrical Engineering and Computer Science Vol 26, No 1: April 2022
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v26.i1.pp531-538

Abstract

learning process implemented in universities due to COVID-19 has brought significant disruption to education. Interest and motivation to learn are very important in the learning process. It takes a platform that supports students to be motivated in running the activity hours well. Learning techniques that can be chosen are collaborative and creative learning in achieving effective graduate outcomes with the support of the Merdeka Campus program. This research aims to make gamification techniques to make students more creative, innovative, and interactive by utilizing the concepts of learning and playing. Furthermore, a learning platform based on blockchain technology can support quality universities as a layer of control in implementing security and fun learning. With gamification techniques in collaboration with blockchain technology, all devices connected to the network will become nodes or servers. This study uses agile development methods based on iterative and incremental models to create a distributed storage blockchain algorithm, and IPFS used to build the GamiChain iLearning education model (gamification blockchain). It can be concluded that GamiChain (gamification blockchain) can support the Merdeka Campus program, which can provide facilities for students to develop their potential and prepare excellent and outstanding graduates.
Security Level Significance in DApps Blockchain-Based Document Authentication Qurotul Aini; Danny Manongga; Untung Rahardja; Irwan Sembiring; Vonda Elmanda; Adam Faturahman; Nuke Puji Lestari Santoso
Aptisi Transactions On Technopreneurship (ATT) Vol 4 No 3 (2022): November
Publisher : Pandawan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34306/att.v4i3.277

Abstract

In the development of the Industrial revolution 4.0 to improve and modify the world's industry by integrating production lines, and extraordinary results in the field of technology and information marked its emergence. It can be used to enhance document security systems using Blockchain technology. Blockchain Innovation Authentication has attracted great attention in the world of science and capital markets. The persistent problems of the many available digital currencies and the various tricks of early coin offerings also welcome the well-known discussion of emerging innovations in the field of education. The importance of this paper follows the improvement of the blockchain framework to reveal the importance of decentralized applications (dApps) and blockchain on the future value in education. This study uses a descriptive method, which is a research method used to describe problems that occur in the present or ongoing, aiming to describe what happened as it should when the research was conducted. the novelty of cutting-edge dApps and talk about the title of blockchain progress to meet the positive attributes of future dApps. Readers will come to the conclusion of dApp research and know the continuous improvement in blockchain .
The Use of TensorFlow in Analyzing Air Quality Artificial Intelligence Predictions PM2.5 Untung Rahardja; Qurotul Aini; Po Abas Sunarya; Danny Manongga; Dwi Julianingsih
Aptisi Transactions On Technopreneurship (ATT) Vol 4 No 3 (2022): November
Publisher : Pandawan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34306/att.v4i3.282

Abstract

 Artificial intelligence techniques to forecasts based on the Community Multiscale Air Quality (PM2.5) operational model can be known using TensorFlow. TensorFlow was used in this study to assess the scores of the Recurrent Neural Networks (RNN) input variables on the 6-hour forecast for July-October 2022. The relevance scores for the one- and two-day forecasts are represented by the sum of the relevance scores across the target prediction timeframe 2–5 and 4–7 previous time steps. The initial selection of input variables was based on their correlation coefficient with the measured PM2.5 concentration. Still, the order of contribution of the input variables measured by TensorFlow was different from the order of their correlation coefficients, which indicated an inconsistency between the linear and nonlinear variables of the method. It was found that the retraining of the RNN model using a subset of variables with a high relevance score resulted in a predictive ability similar to the initial set of input variables. 
Transformation of Payment in Education Use Bitcoin with Reduced Confirmation Times Henderi; Qurotul Aini; Danny Manongga; Irwan Sembiring; Dwi Apriliasari
Aptisi Transactions On Technopreneurship (ATT) Vol 5 No 1 (2023): March
Publisher : Pandawan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34306/att.v5i1.285

Abstract

Significant changes in the financial system are prompted by the growth of the national economy, particularly as a form of payment. The means evolved from barter to things or commodities to metal and paper as the base materials for money before arriving at barter. With such significant changes, there is also a need for a transformation in the world of education in order to welcome technological advancements and one way to survive the changes in the increasingly rapid digital era. As the economic need increases, trade transaction methods shift from traditional to internet-based. One of the necessary international online payment options is bitcoin. For many applications where payments are modest and instantaneous approval is required, Bitcoin is inappropriate because of the high transaction fees and long confirmation periods. As a result, despite the introduction of numerous rival cryptocurrencies to address these problems, the Bitcoin network continues to be the most extensively used payment method. Unquestionably, new finding of this research that effectively address the problems of high transaction costs and transaction verification times are needed if the company is to benefit from its user network. The Lightning Network (LN), which makes use of off-chain bidirectional payment channels between participants, is one of the most recent payment network concepts to be proposed.
Implementation of Tensor Flow in Air Quality Monitoring Based on Artificial Intelligence Untung Rahardja; Qurotul Aini; Danny Manongga; Irwan Sembiring; Iqbal Desam Girinzio
International Journal of Artificial Intelligence Research Vol 6, No 1 (2022): June 2022
Publisher : STMIK Dharma Wacana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29099/ijair.v6i1.430

Abstract

Chemicals that cannot be controlled today can pollute resources and the environment. Common sources of pollutants are due to public transportation, cigarette smoke, volcanic activity that emits volcanic ash, factory smoke, forest fires, biogas, or carbon dioxide. The purpose of this paper is to monitor air quality, detect air and anticipate pollution levels. With the specified algorithms, three algorithms will be used to create a good and accurate model where four different gasses are predicted: carbon dioxide, sulfur dioxide, and nitrogen dioxide, in this paper, there are four algorithms used for the Air Qualification Index which are Support Vector Regression, Linear Regression, and Ensemble Gradient Boosted Decision Tree. This research also includes quantitative research which is hypothesized to be evaluated against Root Mean Squared Error, Mean Squared Error, and Mean Absolute error, depending on the performance of the measurements made by artificial intelligence, and the lower error value is selected. Based on the algorithm to be predicted in this air quality monitoring, there are 5 air pollutants like Carbon dioxide, Sulfur dioxide, and Nitrogen dioxide, and the sensors to be used are two sensors like PM2.5 and PM10 that can be predicted.
Co-Authors Abas Sunarya Adam Faturahman Ade Iriani Anggy Giri Prawiyogi, Anggy Giri Ankur Singh Bist Aropria Saulina Panjaitan Bhupesh Rawat Danny Manongga Dwi Apriliasari Dwi Apriliasari Dwi Julianingsih Fitria Marwati Suryaman Harahap, Eka Purnama Henderi . I Ketut Gunawan Iqbal Desam Girinzio Irwan Sembiring Ninda Lutfiani Nuke Puji Lestari Santoso Nur Azizah Po Abas Sunarya Rafly Ananda Dwi Septian Rahardja, Untung Rahmat Salam Raihan Raihan Sabda Maulana Shofiyul Millah Siti Nurindah Sari Sutarto Wijono Vonda Elmanda