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Implementation of Design Thinking Method on User Interface Design of Digital Police Information System Application (SIPOLDI) Yuliani, Sari; Fadilah, Evi
International Journal of Education, Information Technology, and Others Vol 7 No 4 (2024): International Journal of Education, information technology   and others (IJEIT)
Publisher : Peneliti.net

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

This research aims to design the User Interface of the POLDA Digital Information System by implementing the Design Thinking method. In the research, the Design Thinking method was used. Design Thinking is an innovative approach that focuses on human needs, adopted from design practices, and integrates aspects such as user needs, technical possibilities, and success requirements. The results showed several key issues, including difficult system navigation, suboptimal document search features, and the absence of automatic notifications. These issues were the main concerns in the user interface design, and solutions to these issues included simplifying navigation, developing a more efficient search feature, and adding automated notification elements. By implementing these solutions, SIPOLDI is expected to improve the user experience of this application.
The Influence of Taxpayer Understanding, Information Technology, And Tax Audit Intensity on Perceptions of Tax Evasion Widyana, Mellania Fitria; Widiyati, Dian
International Journal of Education, Information Technology, and Others Vol 7 No 4 (2024): International Journal of Education, information technology   and others (IJEIT)
Publisher : Peneliti.net

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Abstract

The purpose of this research is to examine the impact of taxpayer understanding, information technology, and the frequency of tax audits on individuals’ perceptions regarding the morality of tax evasion. The study is based on a population of 142,629 individuals, with a sample size of 150 respondents chosen through convenience sampling as outlined by the Slovin formula, specifically focusing on taxpayers registered at KPP Pratama Pondok Aren. Data collection was conducted via questionnaires, and the analysis was performed using multiple linear regression with SPSS version 26. The findings indicate that the frequency of tax audits has a significant effect on the perception of tax evasion ethics, whereas taxpayer understanding and information technology do not exhibit any notable impact. This study enhances the understanding of taxpayer ethics and behavior, and recommends the use of more diverse research methods and the inclusion of additional variables for more in-depth results.
Electroencephalogram denoising using discrete wavelet transform and adaptive noise cancellation based on information theory Abdolahniya, Hashem; Khazaei, Ali Akbar; Azarnoosh, Mahdi; Razavi, Seyed Ehsan
IAES International Journal of Artificial Intelligence (IJ-AI) Vol 14, No 1: February 2025
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijai.v14.i1.pp769-779

Abstract

One of the most frequently used techniques for removing background noise from electroencephalogram (EEG) data is adaptive noise cancellation (ANC). Nonetheless, there exist two primary disadvantages associated with the adaptive noise reduction of EEG signals: the adaptive filter, which is supposed to be an approximation of contaminated noise, lacks the reference signal. The mean squared error (MSE) criterion is frequently employed to achieve this goal in adaptive filters. The MSE criterion, which only considers second-order errors, cannot be used since neither the EEG signal nor the EOG artifact are Gaussian. In this work, we employ an ANC system, deriving an estimate of EOG noise with a discrete wavelet transform (DWT) and input this signal into the reference of the ANC system. The entropy-based error metric is used to reduce the error signal instead of the MSE. Results from computer simulations demonstrate that the suggested system outperforms competing methods with respect to root-mean-square-error, signal-to-noise ratio, and coherence measurements.
Machine learning methods for classification and prediction information security risk assessment Muhammad, Alva Hendi; Nasiri, Asro; Harimurti, Agung
IAES International Journal of Artificial Intelligence (IJ-AI) Vol 14, No 1: February 2025
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijai.v14.i1.pp457-465

Abstract

Information is an essential company asset that must be protected. The value of information assets depends on the type and scale of the business and its role in delivering services. One of the primary programs that can help identify areas of improvement and guide the development of security awareness programs is risk assessment. Managing cybersecurity risks is critical to protecting enterprises from developing cyber threats and promoting resilience. This includes detecting, assessing, and mitigating risks to protect sensitive data, systems, and networks. While cybersecurity risk management is challenging, organizations may improve their security posture. This paper seeks to contribute to the field of information security risk assessment by leveraging the power of machine learning to provide quick, cost-effective, and individualized risk assessments for small and medium enterprises. Specifically, we extend the evaluation for security level classification by utilizing a support vector machine, random forest, and gradient boosting algorithms. The results demonstrate how well the model detects significant cases while reducing false positives. The model’s exceptional precision ensures that its identifications are dependable, while the high recall demonstrates that it accurately detects relevant data. Precision is critical in security risk assessment because a false positive result might have profound effects.
Enhancing legal research through knowledge-infused information retrieval for Vietnamese labor law Pham, Vuong; Huy Le, Hoang; Phu Ngo, Thinh; Nguyen, Binh; Nguyen, Diem; D. Nguyen, Hien
IAES International Journal of Artificial Intelligence (IJ-AI) Vol 13, No 4: December 2024
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijai.v13.i4.pp3962-3973

Abstract

The role of intelligent information retrieval systems in legal research optimization has become increasingly recognized. There are many methods for exhibiting advance mentsin the proficient retrieval of legal documents. However, those methods fail to tackle the specific challenges encountered in real-world labor law searches. This research breaks new ground in Vietnamese labor law retrieval by leveraging a comprehensive dataset of 300,000 documents a cross diverse cat egories (20 document types and 27 legal fields) to train and evaluate retrieval models specifically designed for Vietnamese labor law. Unlike previous approaches, this work goes beyond simple information retrieval. It also constructs question & answer (Q&A) dataset specifically tailored to this legal domain. Be sides, this study introduces a novel approach of in corporating a legal ontology built from the data set itself. This knowledge in fusion significantly improves retrieval performance across legal search tasks, as demon strated through rigorous experimentation. These advancements empower intelligent systems to grasp the intricate semantic nuances of Vietnamese labor law.
THE COMBINED IMPACT OF HIGH DEBT LEVELS AND NEGATIVE EARNINGS ON THE VALUE RELEVANCE OF ACCOUNTING INFORMATION Saputra, Dany Adi
Juremi: Jurnal Riset Ekonomi Vol. 4 No. 4: Januari 2025 (In Press)
Publisher : Bajang Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53625/juremi.v4i4.9509

Abstract

This study examines how high debt levels and negative earnings affect accounting information's value relevance. Positive correlations between stock prices, book value of equity per share (BVPS), and earnings per share (EPS) demonstrate the value relevance of accounting information. The sample includes 1,209 the Indonesia Stock Exchange (IDX)-listed enterprises in 2018-2019, in the period before the Covid-19 Pandemic. The hypotheses were tested using multiple linear regression analyses. The results prove the worth of BVPS and EPS. Next, high debt levels do not cause BVPS or EPS to lose relevance. Negative earnings reduce the relevance of BVPS and EPS. Low debt levels paired with negative earnings lower the value relevance of EPS but not BVPS. High debt levels and negative earnings lead BVPS and EPS to lose relevance. The observation period before the COVID-19 pandemic may affect the value relevance of EPS and BVPS in this investigation. This sample was chosen to avoid pandemic-related outcomes. Future research might evaluate pandemic effects. This finding demands management to control debt and prevent losses. These findings can inform authorities about excessive debt and negative earnings, such as in "special notices" on the Indonesia Stock Exchange's website. This analysis contributes to the literature by showing how high debt levels and company losses affect EPS and BVPS value relevance
The Role of Organizational Culture, Market Competition, Mitigation Strategies and Information Systems on Risk Management Indra Wahyu Putra, Christophorus; Marinda Machdar, Nera; Haymans Manurung, Adler
Siber Journal of Advanced Multidisciplinary Vol. 2 No. 3 (2024): (SJAM) Siber Journal of Advanced Multidisciplinary (October - December 2024)
Publisher : Siber Nusantara Research & Yayasan Sinergi Inovasi Bersama (SIBER)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38035/sjam.v2i3.301

Abstract

The purpose of this literature research is to help hypotheses for future authors in determining research related to risk management. Research articles on the role of organizational culture, market competition, mitigation strategies and information systems on risk management are scientific literature articles within the scope of risk management. The approach used in this literature review research is descriptive qualitative. The data collection technique is to use literature studies or review relevant previous articles. The data used in this descriptive qualitative approach comes from previous research relevant to this research and sourced from academic online media such as Thomson Reuters Journals, Springer, Taylor & Francis, Scopus Emerald, Elsevier, Sage, Springer, Web of Science, Sinta Journals, DOAJ, EBSCO, Google Scholar and digital reference books. In previous studies, 1 relevant previous article was used to review each independent variable. The results of this literature review article are: 1) Organizational Culture plays a role in Risk Management; 2) Market Competition plays a role in Risk Management; 3) Mitigation Strategies play a role in Risk Management; and 4) Information Systems play a role in Risk Management.
EDIKASI: Empowering Data Integrity and Knowledge on Health Information Release in the Digital Era Susanto, Edy; Windari, Adhani; Amalia, Rizkiyatul
Jurnal LINK Vol 20, No 2 (2024): NOVEMBER 2024
Publisher : Pusat Penelitian dan Pengabdian kepada Masyarakat, Poltekkes Kemenkes Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31983/link.v20i2.12317

Abstract

Transformasi digital memudahkan akses terhadap data kesehatan, namun juga meningkatkan risiko kebocoran informasi medis. Maraknya telemedicine telah meningkatkan potensi penyalahgunaan data, karena konsultasi online dapat menyebabkan akses yang tidak sah dan pelanggaran data jika tidak dikelola dengan baik. Masyarakat seringkali kurang memahami hak mereka terkait data kesehatan dan proses pelepasan informasi yang aman, dapat menimbulkan risiko privasi dan keamanan. Kurangnya pemahaman tersebut menyebabkan pelanggaran kerahasiaan dan kebocoran data. Angka kebocoran data kesehatan di Indonesia mencakup 1,4 juta catatan yang bocor. Salah satu penyebabnya kesalahan manusia/pengguna system itu sendiri. Untuk mengatasi permasalahan ini, program edukasi yang dirancang khusus untuk masyarakat di wilayah kerja Puskesmas Padangsari akan dilaksanakan. Program mencakup penyuluhan mengenai pentingnya kerahasiaan data medis, serta prosedur yang tepat untuk pelepasan informasi. Dengan pendekatan yang berbasis pada teknologi informasi, diharapkan masyarakat dapat lebih memahami hak dan kewajiban mereka terkait pengelolaan data kesehatan. Evaluasi pretest dan posttest, peningkatan pengetahuan masyarakat akan diukur, sehingga efektivitas program dapat diketahui. Kegiatan ini dihadiri oleh 41 kader Kesehatan. Hasil analisis menunjukkan bahwa kader mengetahui terkait pentingnya informasi medis dan resiko kebocoran data Kesehatan. Edukasi yang komprehensif menjadikan masyarakat untuk dapat lebih berdaya dalam melindungi data kesehatan mereka dan berpartisipasi aktif dalam era digital yang terus berkembang. Kegiatan berikutnya dapat melibatkan vendor teknologi kesehatan untuk mengadakan lokakarya tentang solusi inovatif dalam pengelolaan data medis dan perlindungan privasi.
Analysis of the Impact of Artificial Intelligence on Information-Seeking Behavior Nahla, Febri; Masruri, Anis
JPUA: Jurnal Perpustakaan Universitas Airlangga: Media Informasi dan Komunikasi Kepustakawanan Vol. 14 No. 2 (2024): JULI - DESEMBER 2024
Publisher : Universitas Airlangga

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20473/jpua.v14i2.2024.69-75

Abstract

Background of the study: The need for information in the era of globalization is rapidly growing, causing users to strategize to obtain information effectively. One of the strategies used in information retrieval is generative AI applications. Purpose: This study aims to discuss generative AI applications used in information retrieval and the impact of generative AI usage on information-seeking behavior. Methods: Library research is used to collect data from various relevant literature sources. Finding: The use of generative AI in information retrieval provides positive impacts, such as speeding up the search process and presenting concise and easily understood information. However, the use of generative AI also has negative effects, such as inaccurate data and potential dependence on technology. Conclusion: Although generative AI provides convenience in information retrieval, there are negative risks, such as data inaccuracy and overdependence on technology. Therefore, regulations and oversight are needed to prevent these negative impacts   ABSTRAK --------------------------------------------------------------------------------------------------------------- Analisis Dampak Artificial Intelligence terhadap Perilaku Pencarian Informasi Latar Belakang: Kebutuhan informasi di era globalisasi semakin berkembang pesat, yang menyebabkan para pengguna informasi harus mengatur strategi untuk mendapatkan informasi secara efektif. Salah satu strategi yang digunakan adalah dengan memanfaatkan AI generatif. Tujuan: Penelitian ini bertujuan untuk membahas aplikasi-aplikasi AI Generatif yang digunakan dalam pencarian informasi serta dampak dari penggunaan AI generatif terhadap perilaku informasi. Metode: Metode penelitian yang digunakan adalah library research dengan pengumpulan data dari berbagai sumber literatur yang relevan. Temuan: Penggunaan AI generatif dalam pencarian informasi memberi dampak positif, seperti mempercepat proses pencarian dan menyajikan informasi yang ringkas dan mudah dipahami. Meskipun demikian, penggunaan AI generatif juga menimbulkan dampak negatif, yaitu data yang kurang akurat dan potensi ketergantungan pada teknologi. Kesimpulan: Meskipun AI generatif memberikan kemudahan dalam pencarian informasi, terdapat resiko negatif seperti ketidakakuratan data dan ketergantungan berlebihan pada teknologi. Oleh karena itu, diperlukan aturan dan pengawasan untuk mencegah dampak negatif tersebut.  
Student Interest in Standardized Information Services in Higher Education Library Masriyatun, Masriyatun
JPUA: Jurnal Perpustakaan Universitas Airlangga: Media Informasi dan Komunikasi Kepustakawanan Vol. 14 No. 2 (2024): JULI - DESEMBER 2024
Publisher : Universitas Airlangga

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20473/jpua.v14i2.2024.87-97

Abstract

Background:  Information is a need that must be met for everyone, but information related to standardization is still limited to those who know it. Standardization information is basically information relating to various fields of standardization, such as trade, industry, education and science and technology development. While standardization information services are still rarely performed by the library environment. Methods:  This type of research with quantitative descriptive. Sampling technique using random sampling technique, by taking 10% of the total population. Where data collection with a questionnaire. The research subject is student interest in the field of standardization. Purpose: Because standardization information services are not widely known by students, the writer tries to find out the extent of students' interest in standardization information services at the Sebelas Maret University Library, Surakarta. Place of research at UPT Library of Sebelas Maret University Surakarta. Findings: The results obtained show that students' interest in standardization information services can be categorized as moderate as evidenced by the number 44 or 37.9% of students stating that on average they are less interested in standardization information services at the UPT Library of Sebelas Maret University. This is because there has been no socialization regarding the existence of information services in the field of standardization directly at the Sebelas Maret University Library UPT. Conclusion: It is necessary to hold socialization so that information reaches students. Keywords: Student interest, Information Services, and Standardization   ------------------------------------------------------------------------------------------------------------- ABSTRAK Minat Mahasiswa terhadap Layanan Informasi Standardisasi di Perpustakaan Perguruan Tinggi Latar Belakang: Informasi merupakan kebutuhan yang harus dipenuhi bagi semua orang, namun informasi yang berkaitan dengan standardisasi masih terbatas orang yang mengenalnya. Informasi standardisasi pada dasarnya informasi yang berkaitan dengan berbagai bidang standardisasi, bisa seperti perdagangan, perindustrian, pendidikan dan pengembangan IPTEK. Sementara layanan informasi standardisasi masih jarang dilakukan oleh lingkungan perpustakaan. Metode: Jenis penelitian adalah deskriptif kuantitatif. Teknik pengambilan sampel menggunakan teknik random sampling, dengan pengambilan sampel 10% dari jumlah populasi. Dimana pengambilan data menggunakan kuesioner. Subyek penelitian adalah minat mahasiswa terhadap bidang standardisasi. Tujuan: Karena layanan informasi standardisasi belum banyak dikenal oleh mahasiswa sehingga penulis mencoba ingin mengetahui sejauh mana “Minat Mahasiswa terhadap Layanan Informasi Standardisasi melalui Portal SNI Corner di UPT Perpustakaan Universitas Sebelas Maret Surakarta.” Tempat penelitian di UPT Perpustakaan Universitas Sebelas Maret Surakarta. Temuan: Hasil yang didapatkan bahwa minat mahasiswa terhadap layanan informasi standardisasi dapat dikategorikan sedang yang dibuktikan dengan angka 44 atau 37,9 % mahasiswa menyatakan rata-rata kurang berminat akan layanan informasi bidang standardisasi di UPT Perpustakaan Universitas Sebelas Maret. Hal ini dikarenakan belum adanya sosialisasi mengenai layanan informasi bidang standardisasi secara langsung di UPT Perpustakaan Universitas Sebelas Maret. Kesimpulan: Perlunya diadakan sosialisasi agar informasi mengenai bidang standardisasi di UPT Perpustakaan Universitas Sebelas Maret dapat tersampaikan ke mahasiswa. Kata Kunci: Minat mahasiswa, Layanan Informasi, dan Standardisasi

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