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All Journal IDEAS: Journal on English Language Teaching and Learning, Linguistics and Literature Indonesia Chimica Acta Al-Khwarizmi: Jurnal Pendidikan Matematika dan Ilmu Pengetahuan Alam Jurnal Informatika Global JMD: Jurnal Riset Manajemen & Bisnis Dewantara Jurnal Ecoment Global: Kajian Bisnis dan Manajemen Jurnal Studia Akuntansi dan Bisnis (The Indonesian Journal of Management & Accounting) Jurnal Alwatzikhoebillah : Kajian Islam, Pendidikan, Ekonomi, Humaniora Jurnal Ekonomi Bisnis, Manajemen dan Akuntansi (JEBMA) JABKO: Jurnal Akuntansi dan Bisnis Kontemporer Konsentrasi: Jurnal Manajemen dan Bisnis Masip: Jurnal Manajemen Administrasi Bisnis dan Publik Terapan Journal of Computer Science Application and Engineering GEMBIRA (Pengabdian Kepada Masyarakat) Jurnal Sistem Informasi dan Teknik Informatika (JAFOTIK) Jurnal Pengabdian Masyarakat dan Riset Pendidikan Jurnal Pengabdian Masyarakat ISEI Jurnal Pengabdian Masyarakat Jurnal Pengabdian Masyarakat Bumi Anoa Jurnal Praba: Jurnal Rumpun Kesehatan Umum Masyarakat: Jurnal Pengabdian Jurnal MediLab Mandala Waluya Cleanliness: Journal of Health Sciences and Medical Research Ekopedia: Jurnal Ilmiah Ekonomi Indonesia Economic Journal Jurnal Abdimas Cendekiawan Indonesia Journal of Golden Generation Economic
Amirah
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Optimalisasi Peningkatkan Penerimaan Pajak Air Tanah Oleh Bapenda Kabupaten Tegal Yanasari, Dita; Amirah
JABKO: Jurnal Akuntansi dan Bisnis Kontemporer Vol. 1 No. 2 (2021): Mei
Publisher : Majors Accounting, Faculty of Economics and Business, Universitas Pancasakti Tegal

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

Abstract

Pajak merupakan kontibusi wajib untuk negara yang dibebankan kepada orang pribadi atau badan yang dipaksakan serta dipungut menurut undang-undang tanpa mendapat imbalan langsung, serta dipergunakan untuk kepentingan negara dan sebesar-besarnya kemakmuran rakyat. Pembayaran pajak merupakan perwujudan dari kewajiban pemerintah dan serta merupakan peran langsung wajib pajak dalam memenuhi kewajiban perpajakan secara langsung dan bersama-sama untuk pembiayaan pemerintah dan pembangunan nasional. Pajak salah satu penerimaan dari pemerintah terbesar dan seluruh kegiatan negara dibiayai oleh penerimaan pajak.
The Effect of Providing Animated Videos of Dengue Fever on Knowledge and Attitudes of Students of Singajaya 2 Elementary School Amirah; Eko Maulana Syaputra; Sukhriyatun Fitriyah
Cleanliness: Journal of Health Sciences and Medical Research Vol. 2 No. 1 (2025)
Publisher : Penerbit Hellow Pustaka

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61166/clean.v2i1.7

Abstract

Background : The number of dengue fever (DBD) cases in Indramayu Regency in 2023 was 171 cases with 9 deaths. In the area of Plumbon Community Health Center,including Singajaya, there were 20 cases of dengue fever from January to May 2024. These cases mostly affected children aged 7-12 years. Objective : This research aims to investigate the influence of dengue fever animated video media on students of SD Negeri 2 Singajaya. Research Method : This study used a quantitative research method, namely quasi-experimental with a one-group pre-test post-test design. The sampling technique used Total Sample with 43 samples of students in grades 5 and 6. Data collection method used Pre-test and Post-test sheets. Data analysis used univariate and bivariate analysis with the Wilcoxon test. Research Results Based on the research results, before the animated video was given, the knowledge level was in the Fair category 34.9%, and Poor 65.1%. The respondents' attitudes before the animated video were categorized as Fair 58.1% and Poor 41.9%. After the animated video was given, there was a change in the knowledge level with Good category 20.9%, Fair 39.5%, and Poor 39.5%. The respondents' attitudes after the treatment were categorized as Good 25.6%, Adequate 48.8%, and Inadequate 25.6%. Conclusion  : Based on the Wilcoxon test results, a p-value of <0.003 was obtained, which means there was an increase in knowledge and attitudes of the students after the animated video was given. There is an influence before and after the provision of dengue fever animated video on the knowledge and attitudes of the students. Based on the research results, it is hoped that animation media can be used as an outreach medium, and future researchers are expected to be able to research the practice of implementing dengue fever prevention
Preliminary Study for Cyber Intrusion Detection Using Machine Learning Approach Amirah; Karimah, Fitrah
Jurnal Sistem Informasi dan Teknik Informatika (JAFOTIK) Vol. 1 No. 1 (2023): JAFOTIK - February
Publisher : PT. Lentera Ilmu Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70356/jafotik.v1i1.4

Abstract

This article discusses the importance of information system security in the current technological era and how the increasingly complex threat of cyber attacks demands a more sophisticated approach to detection and prevention. This initial study explores the potential of applying Machine Learning in cyber intrusion detection as a first step to developing detection systems that are adaptive and responsive to evolving threats. Through a methodology involving the collection of representative data on cyber attacks, data preparation, and Machine Learning model selection, this article describes the initial stages for understanding and testing the potential of this technology in the context of cyber security. Although it includes an example dataset, data preparation steps, and the selection of several Machine Learning algorithms, this study only gets to the model selection stage, while the model training process and performance evaluation are the focus of future work. The conclusions of this initial study emphasize the importance of selecting appropriate algorithms with specific features for effective intrusion detection against growing cyber threats.
Leveraging Open Data with Machine Learning Algorithms Amirah; Karimah, Fitrah
Jurnal Sistem Informasi dan Teknik Informatika (JAFOTIK) Vol. 1 No. 2 (2023): JAFOTIK - August
Publisher : PT. Lentera Ilmu Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70356/jafotik.v1i2.19

Abstract

In the evolving landscape of technology, the amalgamation of open data and machine learning stands as a powerful catalyst for innovation. This study explores the dynamic synergy between these domains, where open data's accessibility and transparency converge with machine learning's pattern recognition and predictive capabilities. The fusion holds immense promise across diverse sectors, from healthcare to finance, urban planning, and environmental science. By leveraging advanced algorithms on openly available information, organizations can gain unprecedented insights into trends, correlations, and anomalies, fostering a culture of innovation. The methodology involves a comprehensive literature review, knowledge enrichment, case studies, and conclusion, providing a systematic approach to understanding the intersection of open data and machine learning. The results showcase practical applications in predictive policing, healthcare resource allocation, smart traffic management, and more. Each application is supported by relevant machine learning algorithms, emphasizing their role in addressing complex challenges. The study culminates with a simplified example of predictive policing using a Support Vector Machine (SVM) algorithm, showcasing its pseudocode and decision function equation. This example illustrates how machine learning can predict crime occurrences based on patrol data and historical crime rates. Overall, this fusion marks a pivotal chapter in technological progress and societal advancement.
Ethical and Legal Implications of AI in Decision-Making Zahra, Y; Amirah
Jurnal Sistem Informasi dan Teknik Informatika (JAFOTIK) Vol. 2 No. 2 (2024): JAFOTIK - August
Publisher : PT. Lentera Ilmu Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70356/jafotik.v2i2.42

Abstract

This study explores the ethical and legal implications of integrating artificial intelligence (AI) into decision-making processes across various industries. As AI systems become increasingly prevalent, concerns arise regarding their transparency, fairness, and accountability. The study reviews examples from healthcare, finance, criminal justice, human resources, and retail to highlight issues such as bias, lack of transparency, and privacy concerns. Current regulations often inadequately address the unique challenges posed by AI, particularly regarding accountability and the ethical use of personal data. By developing a comprehensive framework that integrates ethical principles—such as fairness, justice, and autonomy—with legal concepts like liability and data protection, the study proposes practical solutions to mitigate these risks. The findings underscore the need for enhanced oversight, rigorous validation, and transparent practices to ensure AI systems are used responsibly, thereby aligning technological advancements with ethical and legal standards.
Pengaruh Ukuran Perusahaan, Kebijakan Dividen, Struktur Modal, Leverage, dan Profitabilitas Terhadap Nilai Perusahaan pada Sektor Perindustrian yang Terdaftar di BEI Tahun 2017-2021 Amin, Mohammad Arridho Nur; Amirah; Faizal, Achmad Fajar
Jurnal Ekonomi Bisnis, Manajemen dan Akuntansi (Jebma) Vol. 2 No. 3 (2022): Article Research Volume 2 Issue 3, November 2022
Publisher : Yayasan Cita Cendikiawan Al Kharizmi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/jebma.v2i3.1828

Abstract

Sektor perindustri menjadi peran penting dalam kehidupan masyarakat, karena sektor ini memproduksi barang dan jasa. Pandemi Covid-19 menyebabkan penurunan pada faktor yang mempengaruhi nilai perusahaan seperti ukuran perusahaan, kebijakan dividen, struktur modal, leverage, profitabilitas tahun 2020. Dalam hal ini apakah ketika masyarakat berin­ves­tasi di sektor perindustrian akan mendapatkan keuntungan yang diharapkan. Penelitian ini bertujuan untuk menganalisis pengaruh ukuran perusahaan, kebijakan dividen, struktur modal, leverage, profitabilitas terhadap nilai perusahaan pada sektor yang terdaftar di BEI tahun 2017-2021. Penelitian ini adalah penelitian kuantitatif dengan menggunakan sam­pel penelitian berjumlah 14 perusahaan yang dipilih berdasarkan teknik purposive sampling. Teknik analisis data yang digu­na­kan adalah analisis regresi linier berganda. Uji hipotesis menggunakan t-statistik dan f-sta­tis­tik dengan tingkat signifikan 5%. Pengolahan data menggunakan aplikasi SPSS versi 22. Hasil penelitian ini menunjukkan variabel kebijakan dividen, struktur modal, dan pro­fi­ta­bi­litas berpengaruh positif dan signifikan terhadap nilai perusahaan, sedangkan ukuran peru­sa­haan, dan leverage berpengaruh positif dan tidak signifikan terhadap nilai perusahaan. Secara simultan variabel ukuran perusahaan, kebijakan dividen, struktur modal, leverage,dan profitabilitas berpengaruh signifikan terhadap nilai perusahaan.
Deteksi Intrusi Siber pada Sistem Pembelajaran Elektronik berbasis Machine Learning Amirah; Sanmorino, Ahmad
Jurnal Ilmiah Informatika Global Vol. 14 No. 2
Publisher : UNIVERSITAS INDO GLOBAL MANDIRI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36982/jiig.v14i2.3227

Abstract

This study aims to develop a mechanism for detecting machine learning-based cyber intrusions in electronic learning systems. In today's digital era, e-learning systems have become an integral part of education and training, providing global accessibility and more interactive learning efficiency. However, security and privacy challenges are becoming critical issues due to the increasingly real threat of cyber intrusion. Attackers try to take advantage of vulnerabilities and weaknesses in e-learning systems to steal sensitive data or disrupt operations. To overcome this problem, this study focuses on the use of artificial intelligence technologies, especially machine learning, to proactively detect and respond to intrusive threats. Through e-learning security analysis, identification of weaknesses, and potential loopholes for cyber-attacks, the most suitable machine learning algorithms are selected to detect patterns and signs of intrusion attacks on network data. The evaluation results show that several machine learning algorithms, such as SVM and Decision Tree, have good performance in recognizing cyber intrusions with high accuracy, precision, recall, F1-score, and ROC-AUC. By implementing machine learning-based intrusion detection technology, it is expected that electronic learning systems can be more proactive in identifying and responding to intrusion threats before significant damage occurs. This research has significant benefits in increasing security and privacy in the use of electronic learning systems. In addition, this study is expected to be a reference for further research in the world of cyber security and the application of artificial intelligence technology in supporting digital security.
Socialization of PBB-P2 Receivables Collection in Tegal Regency Amirah; Amin, Mohammad Arridho Nur; Murdiati, Sri; Wijaya, Juli Riyanto Tri
Jurnal Abdimas Cendekiawan Indonesia Vol. 1 No. 3 (2024): September
Publisher : Yayasan Cendekiawan Digital Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56134/jaci.v1i3.94

Abstract

One of the problems that is often faced by Land and Building Taxpayers (PBB-P2) in paying taxes is the amount of PBB-P2 payments owed. To be able to find out the amount of the outstanding PBB-P2 payment, it is necessary to understand the tax subject, tax object, tax object exemption, and the PBB-P2 rate owed. Through Community Service, it is hoped that the Village Head as a Taxpayer can understand the amount of payments that must be paid to the outstanding PBB-P2 and provide socialization to the villagers so that taxpayers from various villages in Tegal Regency can obey in paying PBB-P2. Thus, through this service, it will provide understanding to the participants to be able to pay tax arrears and be obedient in paying taxes afterwards. The target of this service is the Village Head of Tegal Regency. This activity will be held on Tuesday, August 13, 2024 at 09.00 WIB until it is finished. The results of the service activities showed that there was an increase in understanding of PBB-P2 tax subjects, tax objects, exemptions for PBBP2 tax objects, filling out tax object notification letters (SPOP) to the calculation of urban rural land and building taxes (PBB-P2) and the taxes collected could be implemented properly.
Peningkatan Kemampuan Berpikir Kreatif melalui Pendekatan Pendidikan Matematika Realistik Indonesia pada Materi Lingkaran Amirah; Wijaya, Ariyadi
Al-Khwarizmi : Jurnal Pendidikan Matematika dan Ilmu Pengetahuan Alam Vol. 13 No. 2 (2025): Al-Khwarizmi : Jurnal Pendidikan Matematika dan Ilmu Pengetahuan Alam
Publisher : Prodi Pendidikan Matematika FTIK IAIN Palopo

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Abstract

Abstract: This research aims to improve students' creative thinking skills through the Indonesian Realistic Mathematics Education approach when learning the topic of circles. This study was conducted as a Classroom Action Research, utilizing the Kemmis and McTaggart model and implemented in two cycles. The subjects of the research were 22 eleventh-grade students at a private high school in Yogyakarta. Data were collected using a creative thinking ability test, observation sheets, and teacher interviews. The findings indicate an increase in the students' mean scores from 74.03 in cycle I to 88.08 in cycle II. A significant improvement was observed in the flexibility and elaboration indicators, demonstrating students' capability to employ diverse strategies and articulate ideas in detail. Nevertheless, the originality indicator did not exhibit a comparable increase. This suggests that the IRME approach is effective in developing the majority of students' creative thinking aspects, yet it has not been fully optimized in fostering originality. Abstrak: Penelitian ini bertujuan meningkatkan keterampilan berpikir kreatif siswa dengan pendekatan Pendidikan Matematika Realistik Indonesia (PMRI) pada materi lingkaran. Penelitian ini berupa Penelitian Tindakan Kelas dengan model Kemmis dan McTaggart yang dilaksanakan dua tahap. Subjek penelitian sebanyak 22 siswa kelas XI di salah satu SMA swasta di Yogyakarta. Data dikumpulkan melalui tes kemampuan berpikir kreatif, lembar observasi, dan wawancara guru. Hasil penelitian menunjukkan peningkatan skor rata-rata siswa dari 74,03 di siklus I menjadi 88,08 di siklus II. Peningkatan signifikan berlangsung pada indikator flexibility dan elaboration, yang menunjukkan siswa mampu menggunakan berbagai strategi dan menyampaikan ide secara rinci. Namun, indikator originality tidak menunjukkan peningkatan. Hal ini menyatakan bahwa pendekatan PMRI efektif dalam menumbuhkan sebagian besar aspek berpikir kreatif siswa, tetapi belum sepenuhnya optimal dalam mendorong orisinalitas.
Manajemen Risiko sebagai Strategi Penguatan UMKM Ritel Pakaian di Dukuh Kebranten Salsabila, Amelia Azhar; Amirah
Journal of Golden Generation Economic Vol. 1 No. 1 (2025): AGUSTUS 2025 : Journal of Golden Generation Economic
Publisher : PT. Lembaga Penerbit Penelitian Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.65244/jggeconomic.v1i2.119

Abstract

Penelitian ini bertujuan menilai sejauh mana manajemen risiko diterapkan pada sebuah UMKM ritel pakaian dengan menelaah tiga aspek utama: identifikasi, pengukuran, dan pengelolaan risiko. Metode penelitian yang digunakan berbasis deskriptif kuantitatif melalui kuesioner berskala lima poin yang diisi oleh lima pengelola toko. Hasil penelitian memberi gambaran bahwa tingkat penerapan manajemen risiko berada pada kategori tinggi. Identifikasi risiko menunjukkan nilai rata-rata 4,03, terutama pada risiko persediaan, persaingan, dan ketepatan pasokan, meskipun beberapa risiko seperti gangguan sistem pembayaran dan ketidaksesuaian harga belum teridentifikasi secara optimal. Pengukuran risiko memperoleh rata-rata 4,01, didominasi pemanfaatan data penjualan dan laporan keuangan, namun belum mengakomodasi pengukuran frekuensi kejadian serta analisis risiko operasional dan pemasok secara terpadu. Pengelolaan risiko memiliki nilai tertinggi (4,45) melalui praktik seperti monitoring stok, pelatihan karyawan, dana cadangan, rencana darurat, dan digitalisasi pencatatan. Meskipun demikian, evaluasi rutin terhadap strategi dan keterlibatan pihak eksternal masih perlu ditingkatkan. Hasil ini menegaskan bahwa UMKM telah memiliki fondasi manajemen risiko yang kuat, tetapi membutuhkan penguatan dalam dokumentasi dan sistematisasi proses agar pengelolaan risiko lebih komprehensif dan berkelanjutan.
Co-Authors Ahmad Sanmorino Aisyah Akbar Salafudin Andi Maya Kesrianti Anisa, Zahrotul Anson, Adriel Moses Ariyadi Wijaya Arlitha Deka Yana Catur Wahyudi, Catur Desyani Ariza Dewi Kurniawati Dewi, Risma Arlia Sinta Dhea Nadzwa Ashari Diaz Prasetyo Renandito Dila Lailatul Munawaroh Efrianto Eko Maulana Syaputra Elnan Maheasa Arya Sahdewa Esy Pariska Putri Fadilah, Dina Jihan Faizal, Achmad Fajar Faturrahman Taslim Fitriyani, Anisa Gilbreth Pamean Hartini A Hilda Febrianti Indah, Ni Luh Dian Sundari Janah, Nur Lutfiatul Juli Riyanto Tri Wijaya Karimah, Fitrah Kasmuddin Darmo Ka’ba Paharu Kusuma, I Made Ari Mapparessa, Nurlaela Mei Rani Amalia Mohammad Arridho Nur Amin Muh Sainal Abidin Mutmainna Najmalia, Risa Nurun Parwati, Ni Made Suwitri Putri Salsabila, Nabila rahmadani islamiyah Rasti Aningsi Retno Wulandari Romadhon, Istiqomah Salsabila, Amelia Azhar salwangi Santi Santi Sarinah Basri K Sri Murdiati Sri Murdiati Sri Suci Suryawati Sri, Diyana Sukamto, Ika Sumiyarsi sukhriyatun fitriyah Susilawati, Agnes Dwita Syaputra, Eko Maulana Tabrani Tanra, Andi Ainil Mufidah Titi Purnama Totanan, Chalarce Tri Sulistyani Tubety, Ari Wahida Yanasari, Dita Yudistira Yuni Utami Yuniarti Herwinarni Zahra, Y