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All Journal JURNAL KEPEMIMPINAN DAN PENGURUSAN SEKOLAH Journal of Socioeconomics and Development Jurnal Manajemen Jurnal Ners Riayah: Jurnal Sosial dan Keagamaan Journal of Industrial Engineering and Operation Management (JIEOM) SENTRI: Jurnal Riset Ilmiah Community Services and Social Work Bulletin Jurnal Ekonomi dan Bisnis Digital Jurnal Keperawatan JAR'S (Journal of Advanced Research in Informatics) JER Educational Studies and Research Journal SEULANGA: Jurnal Pengabdian Kepada Masyarakat Jurnal Cendekia Ilmiah Proceedings of The International Conference on Computer Science, Engineering, Social Sciences, and Multidisciplinary Studies
Fitriani, Novi
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Religion Aerospace Engineering Agriculture, Biological Sciences & Forestry Arts Humanities Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Medicine & Pharmacology Nursing Social Sciences Other

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PERBANDINGAN PERFORMA MODEL MACHINE LEARNING SUPPORT VECTOR MACHINE, NEURAL NETWORK, DAN K-NEAREST NEIGHBORS DALAM PREDIKSI HARGA SAHAM Sudriyanto, Sudriyanto; Syahro, Fatimatus; Fitriani, Novi
Journal of Advanced Research in Informatics Vol 2 No 1 (2023): JARS : Journal of Advanced Research in Informatics
Publisher : Fakultas Teknik, Universitas Wiraraja

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24929/jars.v2i1.2983

Abstract

This study aims to analyze the performance of three prediction models, namely K-Nearest Neighbors (K-NN), Neural Network (NN), and Support Vector Machine (SVM), in predicting the stock price of PT Astra International Tbk (ASII.JK). The research encompasses the initial stages through evaluation using optimal parameters for these three algorithms. The research findings reveal that the K-NN prediction model has the lowest Root Mean Square Error (RMSE) value, with a value of 0.037, indicating the most accurate prediction compared to the other models. Despite the NN model having an RMSE of 0.048, which is higher than K-NN, it still provides reasonably accurate predictions. Meanwhile, the SVM model has an RMSE of 0.075, indicating a higher level of error in its predictions. Based on these results, the recommendation is to utilize the K-NN model as the preferred choice for predicting the ASII.JK stock price.
The Effect of Organizational Commitment and Emotional Intelligence on Organizational Citizenship Behavior (OCB) Mediated by Work Motivation at PT. Legenda Bintang Bola in Karanganyar Fitriani, Novi; Waskito, Jati
Jurnal Economic Resource Vol. 9 No. 1 (2026): October - March
Publisher : Fakultas Ekonomi & Bisnis Universitas Muslim Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.57178/jer.v9i1.2038

Abstract

The findings of this study imply that organizations, specifically PT. Legenda Bintang Bola—can strengthen Organizational Citizenship Behavior (OCB) by enhancing organizational commitment and emotional intelligence among employees. Since both variables also increase work motivation, and motivation itself positively influences OCB, the company should focus on programs that nurture employees’ emotional awareness, loyalty, sense of belonging, and overall engagement at work. In practical terms, the organization may benefit from implementing training related to emotional regulation, team-building activities to deepen commitment, and supportive policies that boost internal motivation. Strengthening these areas can help create a more collaborative, proactive, and productive workforce, ultimately improving organizational performance and stability.
Rekonstruksi Makna Ummah dalam Perspektif Tafsir Tematik Al-Qur’an Amburika, Nudia; Fitriani, Novi
SENTRI: Jurnal Riset Ilmiah Vol. 4 No. 12 (2025): SENTRI : Jurnal Riset Ilmiah, Desember 2025
Publisher : LPPM Institut Pendidikan Nusantara Global

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55681/sentri.v4i12.5146

Abstract

The term ummah is one of the key concepts in the Qur’an, encompassing a wide range of meanings and a broad semantic scope that shapes the identity, social structure, and religious orientation of the Muslim community. This study aims to analyze the meaning of ummah through semantic and thematic approaches by examining all Qur’anic verses containing this term and its derivatives. The research employs a qualitative method based on library research, with the Qur’an as the primary source and Arabic lexicons alongside other supporting literature as secondary sources. The findings reveal that the Qur’anic concept of ummah can be classified into four main semantic categories: community, leadership, religion, and time. Additionally, seven lexemes derived from the same root as ummah were identified umam (communities), imām (leader), aimmah (leaders), umm (mother), ummahāt (mothers), ummī (unlettered), and amāma (in front of) with a total frequency of 116 occurrences throughout the Qur’an. Furthermore, the study highlights six ideal characteristics of the ummah according to the Qur’an: muslimah (submissive), wasata (moderate), wahidah (united), qāimah (upright), muqtaṣidah (balanced), and qānitah (devout). This research contributes to the development of Qur’anic semantic studies and expands contemporary Islamic scholarship’s understanding of the dynamic conceptualization of ummah within the Qur’anic worldview.
Analysis of Factors Affecting Public Tax Liability and Difficulties in Fulfilling Tax Obligations in Indonesia Simangunsong, Samaria; Agustia, Mira; Fitriani, Novi; Zahara, Siti; Aliah, Nur
Educational Studies and Research Journal Vol. 3 No. 1 (2026): Educational Studies and Research Journal
Publisher : MID Publisher International

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.60036/fw3gfe40

Abstract

This study aims to analyze the factors that influence public tax liability and the difficulties in fulfilling tax obligations in Indonesia through a literature review approach. This study is based on various previous studies on taxpayer compliance and noncompliance, which show that psychological, social, economic, and regulatory factors play an important role in determining the amount of tax liability and the public's ability to fulfill it. Factors such as tax awareness, tax knowledge, perceptions of the fairness of the system, the effectiveness of tax services, and the complexity of tax administration have been shown to influence the level of public compliance. In addition, individual economic conditions and the level of trust in the government are also major obstacles to the payment of tax obligations. The results of the literature review show that the difficulties faced by the public generally arise due to complex regulatory changes, low tax literacy, and weak socialization from the tax authorities. This study recommends the need for broader tax education, simplification of the reporting system, and increased transparency of fiscal policies in order to reduce the burden of liabilities and increase tax compliance among the public in Indonesia.
TINDAK TUTUR DIREKTIF DALAM PIDATO PRESIDEN PRABOWO: SENTILAN TERHADAP PEJABAT YANG HANYA FOTO-FOTO SAAT MENGUNJUNGI LOKASI BENCANA BANJIR DI SUMATERA Fitriani, Novi; Khairani, Zuraida; Marisya, Susanti
Jurnal Kepemimpinan dan Pengurusan Sekolah Vol. 10 No. 4 (2025): December (In Progress)
Publisher : STKIP Pesisir Selatan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34125/jkps.v10i4.1475

Abstract

Speeches are a more formal and focused means of communication, allowing the audience to listen more intently to what the speaker is saying. Speech acts are an important aspect of language study. This study aims to describe and analyze the forms of directive speech acts used by President Prabowo in his speeches. The method used is a descriptive qualitative method with a listening and note-taking technique on the research data in the form of utterances obtained from videos of President Prabowo's speeches uploaded to the YouTube platform. The results of the study indicate that the dominant directive speech acts that appear are questions, orders, and prohibitions on the use of these speeches aimed at state officials to take concrete action in disaster management. These directive speech acts function as a tool of social control, strengthening leadership ethics, and a means of affirming the president's stance on symbolic practices that do not directly impact disaster victims.
The Influence of Financial Literacy and Financial Technology on the Quality of Financial Statements Purwanti, Rizki; Agustin, Khairunnisa; Sari, Kartika; Fitriani, Novi; Irawan
Proceedings of The International Conference on Computer Science, Engineering, Social Science, and Multi-Disciplinary Studies Vol. 1 (2025)
Publisher : CV Raskha Media Group

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.64803/cessmuds.v1.112

Abstract

    This study examines the impact of financial literacy (the ability to understand and manage financial concepts) and financial technology (the use of digital tools to record, manage, and report finances) on the quality of financial reports (relevance, consistency, accuracy, and timeliness). Using a quantitative approach through a questionnaire survey of accounting students, the analysis includes validity, reliability, classical assumptions, and multiple linear regression tests. Results: Financial literacy has a significant positive effect on report quality; financial technology is not partially significant; together, the two contribute 34.8%, with the remainder influenced by other factors. This study is expected to enrich accounting theory and provide practical guidance for improving reporting standards.  
The Effect of Audit Information Systems on Audit Quality Control Fitriani, Novi; Sania, Flora; Sagala, Mohamad Hafidz; Wardhani , Neng Sri
Proceedings of The International Conference on Computer Science, Engineering, Social Science, and Multi-Disciplinary Studies Vol. 1 (2025)
Publisher : CV Raskha Media Group

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.64803/cessmuds.v1.116

Abstract

The increasing complexity of organizational processes has intensified the need for effective audit quality control to ensure reliable and accountable audit outcomes. Audit Information Systems (AIS) have emerged as a critical tool in supporting internal audit activities, particularly in managing audit findings and enhancing audit quality control. However, empirical evidence regarding the effectiveness of audit information systems in improving audit quality control remains limited, especially in the context of internal audits. This study aims to examine the effect of audit information systems on audit quality control, with particular attention to the management of audit findings. The research adopts a quantitative approach using data collected from internal auditors through structured questionnaires. Statistical analysis is employed to assess the relationship between audit information systems, audit findings management, and audit quality control. The results indicate that audit information systems have a significant positive effect on audit quality control by improving data accuracy, consistency, transparency, and timeliness of audit processes. Furthermore, effective management of audit findings through information systems contributes to enhanced audit accountability and compliance with audit standards. These findings highlight the strategic role of audit information systems in strengthening internal audit functions and supporting organizational governance. The study contributes to the literature on audit information systems and provides practical implications for audit institutions seeking to improve audit quality control through digital transformation.
From Digital Discovery to Offline Conversion: The Role of Google Business Profile in Driving Consumer Emotions, Visit Intention, and Purchase Intention among Cafés in Bandung Fitriani, Novi
Jurnal Manajemen Vol. 15 No. 2 (2025): Jurnal Manajemen
Publisher : Universitas Serang Raya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30656/4tpwvz23

Abstract

This research looks at how Google Business Profile (GBP) makes people want to go to and buy from coffee shops, using the Pleasure–Arousal–Dominance (PAD) Theory, the Theory of Planned Behavior (TPB), and the Quality–Intention Framework. Information gathered from surveys of 226 users was examined using a method called partial least squares structural equation modeling (PLS-SEM) to understand how feelings and thoughts affect what people plan to do. The findings show that what GBP looks like affects people's feelings and what they think, which then makes them want to do things in the real world. By combining PAD, TPB, and ideas about quality and intentions, this study gives a new way to understand how finding things online through GBP turns into what people do in person. Key words: Google Business Profile, PAD Theory, Theory of Planned Behavior, Quality–Intention Framework, Purchase intention, Café industry Paper type Research paper
Co-Authors Agustia, Mira Agustin, Khairunnisa Ahmadi, Muhammad Alcaritzy AKHMAD FAOZI Al Mustaqim, Dede Amburika, Nudia Anggraini, Sanitianing Anita Rahmiwati Apriliani, Ferenadia Astari, Dea Widya Ayu Pitaloka, Ariani Ayu Wulandari, Putri Ayu, Dewi Sekar Cynthia Cynthia Doddy Setiawan Fany Apriliani Farhan, Edrian Arizal Fathimah, Muthia Zahira Fathira, Nur Hikmah Fauzan, Muhammad Yunus Haerawati Idris, Haerawati Hayati, Thursina Vera Hidayatullah, Muhammad Dwi Husyairi, Khoirul Aziz Irawan Iskandar, Berni Rahman Jati Waskito Juliyanda, Nugraha Kartika Sari Khaeriyah, Muthia Khasanah, Zuhrotul Khusnia Amanina, Nurul Lestari, Peggy Ayu Lindayani, Emi Munadilhaq, Ahmad Nur Alam Fajar Nur Aliah, Nur Nur Khasanah Nurul Ilmi Azizah, Annafi Pradisa, Dea Purwanti, Rizki Putri Heryanto, Suci Nurlathifah Rostika Flora Safithri, Vani Sagala, Mohamad Hafidz Sania, Flora Sari, Merry Afriliana Sari, Novrika Shalihah, Nadhira Nur Simangunsong, Samaria Siti Zahara Susanti Marisya Syahro, Fatimatus Wardhani , Neng Sri Yuanita Windusari Yuliantari, Devy Zulfikar, Farrel Ziyad Zuraida Khairani