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All Journal Scientific Journal of Informatics Dinamika Informatika: Jurnal Ilmiah Teknologi Informasi Journal of Soft Computing Exploration MATRIX : JURNAL MANAJEMEN TEKNOLOGI DAN INFORMATIKA Journal of Information System Exploration and Research
Nurdin, Alya Aulia
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Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Engineering

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PENERAPAN METODE K-MEANS CLUSTERING UNTUK MENENTUKAN STATUS NEGARA Nurdin, Alya Aulia; Jamilah, Shabrina; Mustaib, Robby Igfirly
Dinamika Informatika : Jurnal Ilmiah Teknologi Informasi Vol 14 No 1 (2022)
Publisher : Fakultas Teknologi Informasi Universitas Stikubank (Unisbank) Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (975.251 KB) | DOI: 10.35315/informatika.v14i1.9132

Abstract

Status dari sebuah negara merupakan hal yang penting untuk diketahui. Hal tersebut dikarenakan status negara dapat menunjang kesuksesan suatu investasi, bisnis, dan juga pemerataan pembangunan oleh pemerintahnya. Status negara yang sering didengar oleh masyarakat, yakni negara maju dan negara berkembang. Dalam studi kasus penentuan status negara ini, penulis mengambil dataset International Monetary Fund (IMF) yang diperoleh dari situs github. Kemudian data mentah dilakukan preproccessing terlebih dahulu berupa impute values dan normalisasi, lalu selanjutnya dilakukan perhitungan klastering dengan metode K-Means. Data akan dibagi menjadi empat klaster dan perhitungan dilakukan dengan dua cara, yakni melalui Microsoft Excel dan Rapid Miner. Berdasarkan perhitungan yang telah dilakukan, 186 negara sudah terbagi menjadi empat klaster yakni, klaster negara agraris, negara industri, negara berkembang, dan negara maju. Penentuan klasterisasi status negara tersebut cukup dikatakan valid karena performance vectornya sebesar 70%.
Decision support system for choosing the best tourist attractions using simple additive weighting (SAW) method Nurdin, Alya Aulia
Journal of Soft Computing Exploration Vol. 2 No. 2 (2021): September 2021
Publisher : SHM Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52465/joscex.v2i2.43

Abstract

Every year, various regions in Indonesia always have many tourists both local and foreign so as to provide benefits for the government and the surrounding local community. However, due to the Covid-19 pandemic, the tourism sector has slumped. Therefore, to revive the tourism sector in the new normal due to Covid-19, there needs to be various considerations. One of them, namely decision support system for choosing tourist attractions with facilities that meet health protocol standards in the new normal/adaptation of new habits. In this study, a case was raised with the aim of choosing the best tourist attractions in Kendal Regency, Central Java with several criteria determined, especially regarding facilities that comply with health protocols. The calculation in this study was done by Simple Additive Weighting (SAW) method. The research was conducted by determining alternatives, criteria, and weight values on each criterion. Then the calculation of the value of preferences and stamps to get the best alternative. From the calculations that have been done, the result of the best tourist attractions in Kendal is Tirto Arum Baru with a preference value of 0.766. However, due to the dynamic nature of the criteria and weight data, it is possible that at any time the selected data may change.
Securing audio chat with cryptool-based twofish algorithm Nurdin, Alya Aulia; Djuniadi, Djuniadi
Journal of Soft Computing Exploration Vol. 3 No. 1 (2022): March 2022
Publisher : SHM Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52465/joscex.v3i1.65

Abstract

Technology and the internet are growing very rapidly in society making it easy for people to share information and communicate with each other. However, the security of such data or information is something that should be highlighted. The utilization of technology and the internet has many security gaps that can make data or information vulnerable to being stolen and even misused. Valuable data or information is very likely to be accessed by unauthorized people. On the other hand, data and information are prone to be illegally altered and even duplicated. In connection with various possible data or information security issues, it is necessary to do a data security. The purpose of this study is to secure audio chat using a Cryptool-based Twofish algorithm. Based on research conducted, the security process with encryption and decryption simulations was successfully carried out on audio chat. Audio chat sent via IP Address can be encrypted into ciphertext and can be decrypted back into audio at a speed of 15.78 kB/s and the resulting size is also still the same, which is 160 packets. This Twofish algorithm proved to be well usable because the size and quality of chat audio generated from decryption is still the same as audio chat before it is encrypted.
Business process modeling at steak restaurant using business process model and notation Nurdin, Alya Aulia; Pristanti, Aisyah Nungky; Samantha, Nikita
Journal of Soft Computing Exploration Vol. 3 No. 2 (2022): September 2022
Publisher : SHM Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52465/joscex.v3i2.84

Abstract

The complexity of business processes occurring today makes the company try to find ways to describe its business processes. Business processes are not only an operational standard but also become one of the determining factors for the smooth use of time and costs in a business unit to be more efficient. With good business processes, it makes the flow of information faster so that it can help in making the best decisions in the organization. The business process modeling that will be explained further in this study is the order and procurement business process at steak restaurant using the Business Process Model Notation (BPMN) approach. This research was conducted using a qualitative descriptive method with the aim of observing the business unit to help analyze and make improvements to its business processes. Several series of processes were carried out, namely business identification and modeling with bizagi modeler and process reengineering to produce recommended new business process models that could be beneficial for business units, namely the recommended automation in the form of the use of mobile applications, remote, and database systems to support the effectiveness of the order to cash and procure to pay processes.
Factors that influence the use of digital payments as ease of transactions in the digital era Nurdin, Alya Aulia; Pamungkas, Agus Bayu; Kholifah, Alfina Nur
Matrix : Jurnal Manajemen Teknologi dan Informatika Vol. 13 No. 1 (2023): Matrix: Jurnal Manajemen Teknologi dan Informatika
Publisher : Unit Publikasi Ilmiah, P3M, Politeknik Negeri Bali

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31940/matrix.v13i1.25-32

Abstract

Many things in the line of life are already shifting towards digital. The use of financial technology in the digital era is one of the new choices that are in great demand as a tool for transactions in society. The use of fintech payment services can further maximize banking product services so that the payment system in buying and selling transactions becomes more effective and efficient. This study aims to find out how massive the use of financial technology services is in digital payment transactions in the community and find out what factors influence people to use digital payment services so that they can facilitate their activities in transactions in their daily lives. The method used in this study is quantitative in the form of a survey. The questionnaire survey was distributed via Google Form to 102 respondents from the age range of 14-30 years. After that, the data was analyzed using the partial least square–structural equation model (PLS-SEM). The results showed that the proposed model is moderately accurate with an R-square value of 0.561. In this study, effort expectancy and performance expectancy significantly influence the intention to use digital payment. Meanwhile, culture, perceived security, and social factors did not have a significant influence. The conclusion is that the intention to use digital payment will get stronger if the service related to performance expectancy and effort expectancy are simultaneously improved.  
Utilization of Business Intelligence in Sales Information Systems Nurdin, Alya Aulia; Salmi, Gading Nur; Sentosa, Kevin; Wijayanti, Annisa Rachma; Prasetya, Ananda
Journal of Information System Exploration and Research Vol. 1 No. 1 (2023): January 2023
Publisher : shmpublisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52465/joiser.v1i1.101

Abstract

Business intelligence is one of the concepts that can facilitate the process of processing data of a company which will later become the basis for the decision-making process of the sales process. Distributor company needs an information system that can help the company in managing and analyzing data and can make sales and profit predictions in the future. This study aims to create an information system that can visualize data analysis and the results of forecasting sales data by avocado fruit distributor companies. In this study, we will apply the concept of Business Intelligence using Power BI Desktop which is equipped with sales prediction analysis on the sales information system. The data processing process in this study uses the process of integrating Excel tools with Power BI Desktop. The dataset of sales in this study was obtained from the Kaggle site and the software development in this study using the SDLC (system development life cycle) waterfall development method. In this study, we found that the development of business intelligence in the sales information system provides convenience that can be felt by distributors, namely in terms of revenue and time. In this case, forecasting is done with the forecast feature in Power BI Desktop with a confidence interval of 95%.
UTAUT and WebQual Models for Measuring User Acceptance of Text Minutes from Video Conferencing Services Ningsih, Dewi Handayani Untari; Nurdin, Alya aulia; Muslim, Much Aziz
Scientific Journal of Informatics Vol 10, No 3 (2023): August 2023
Publisher : Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/sji.v10i3.46651

Abstract

One of the issues encountered during the post-COVID-19 and new normal period is in the field of higher education and employment that require education and online or virtual meetings. Automatic speech recognition (ASR) is one of the technologies used to simplify recording through speech recognition into text minutes for the effectiveness of online meetings. This study aims to determine user acceptance in adopting text minutes on the Zoom Meeting video conference service for online meetings so that it can provide insights for video conferencing service provider companies in developing text minutes on their platforms. In this study, a total of 156 respondents participated in the study. The obtained data were analyzed using PLS-SEM. As a result, the construct of information, interaction, and performance expectancy has been shown to affect user satisfaction with text minutes in video conferencing services with an R square value of satisfaction of 0.516 (moderate). The quality of information is an important factor, information from the text minutes on video conferencing services must be accurate, reliable, timely, relevant, easy to understand, and presented in the appropriate format.Purpose: This observes ambitions to determine consumer popularity in adopting text minutes at the Zoom assembly video conference provider for online meetings in order that it could offer insights for video conferencing carrier company organizations in developing text minutes on their structures.Methods/Study design/approach: This study uses a mixture of UTAUT and WebQual. A studies instrument becomes prepared inside the shape of a web questionnaire containing query objects. All the items had been adapted from previous research. Then, data became amassed by way of administering an online questionnaire through diverse social media structures, along with WhatsApp and Telegram to respondents with several demographic questions and a five-factor Likert scale from strongly disagree to strongly agree (scored from 1 to 5) from eleven constructs. The obtained facts had been analyzed the usage of PLS-SEM.Result/Findings: The existence of text minutes on the Zoom Meeting video conference service has not been fully adopted by users in carrying out learning activities or online meetings. Primarily based on the studies that have been executed, there are four hypotheses accepted, namely H2, H3, H5, and H10. Meanwhile, six different hypotheses, namely H1, H4, H6, H7, H8, and H9, have been rejected. Elements influencing person adoption of the text of the Zoom assembly video conferencing carrier depend on the nice of the information generated from the text minutes from video conferencing in which the statistics ought to be accurate, reliable, well timed, relevant, easy to apprehend, and provided in the right format. Novelty/Originality/Value: As a result, the construct of information, interaction, and performance expectancy has been shown to affect user satisfaction with text minutes in video conferencing services with an R square value of satisfaction of 0.516 (moderate). From the outcomes of the research conducted, video conferencing service providers can improve and expand text mins capabilities extra sophisticatedly but nonetheless easy in order that overall customers sense greater satisfied with video conference textual content mins and could reuse and endorse others to apply the same era. In the next look at, its miles predicted that the scope of the survey will be wider globally with the growth within the wide variety of respondents, in addition to including a few constructs that have now not been used
Co-Authors Amirullah, Afif Budiman, Kholiq Dewi Handayani Untari Ningsih Djuniadi Djuniadi Haryanti, Unik Slamet Jamilah, Shabrina Kholifah, Alfina Nur Much Aziz Muslim Mustaib, Robby Igfirly Pamungkas, Agus Bayu Pramesti, Pricilia Intan Prasetya, Ananda Pristanti, Aisyah Nungky Salmi, Gading Nur Samantha, Nikita Sentosa, Kevin Wijayanti, Annisa Rachma