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All Journal Indonesia Chimica Acta Al-Khwarizmi: Jurnal Pendidikan Matematika dan Ilmu Pengetahuan Alam Jurnal Informatika Global 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 Journal of Computer Science Application and Engineering Jurnal Sistem Informasi dan Teknik Informatika (JAFOTIK) Jurnal Pengabdian Masyarakat ISEI Jurnal Pengabdian Masyarakat Jurnal Pengabdian Masyarakat Bumi Anoa Masyarakat: Jurnal Pengabdian Jurnal MediLab Mandala Waluya Cleanliness: Journal of Health Sciences and Medical Research Jurnal Abdimas Cendekiawan Indonesia Journal of Golden Generation Economic
Amirah
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Religion Humanities Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Dentistry Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Health Professions Immunology & microbiology Languange, Linguistic, Communication & Media Library & Information Science Mathematics Nursing Public Health Social Sciences Other

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Analisis Pengaruh Fund Longevity, Fund Size, dan Family Size terhadap Kinerja Reksadana pada Reksadana Saham di Indonesia Periode 2016-2019 Tubety, Ari; Amirah
Konsentrasi: Jurnal Manajemen dan Bisnis Vol. 1 No. 2 (2021): June
Publisher : Major Management, Faculty of Economics and Business, Universitas Pancasakti Tegal

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (859.708 KB) | DOI: 10.24905/konsentrasi.v1i2.11

Abstract

This study aims 1). To analyze the effect of Fund Longevity on the performance of equity funds, 2). To analyze the effect of Fund Size on the performance of equity funds, 3). To analyze the effect of Family Size on stock mutual funds performance, 4). To analyze the effect of Fund Longevity, Fund Size, and Family Size simultaneously on the performance of equity funds.The method used in this research is quantitative research. Equity mutual fund performance measurement uses the Sharpe method. While the data analysis method used is multiple linear regression using statistical software SPSS 22. The results of this study indicate that 1). Fund Longevity has a significant negative effect on the performance of equity funds, 2). Fund Size has a positive and insignificant effect on the performance of equity funds, 3). Family Size has a significant negative effect on the performance of equity funds, 4). Fund Longevity, Fund Size, and Family Size simultaneously have a positive effect on the performance of equity funds.
Analisis Perbedaan Kinerja Exchange Traded Fund (ETF) MNC 36 Likuid Berdasarkan Indeks MNC 36 dan IHSG Janah, Nur Lutfiatul; Amirah
Konsentrasi: Jurnal Manajemen dan Bisnis Vol. 3 No. 2 (2023): June
Publisher : Major Management, Faculty of Economics and Business, Universitas Pancasakti Tegal

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24905/konsentrasi.v3i2.38

Abstract

Tujuan penelitian adalah untuk mengetahui perbedaan kinerja antara ETF Likuid MNC 36 dan Indeks MNC Likuid 36, perbedaan kinerja antara Indeks Harga Saham Gabungan (IHSG), dan kinerja terbaik antara MNC LIKUID 36 ETF, Indeks MNC LIKUID 36, dan Indeks HargaiSaham Gabungan (IHSG). Pendekatan penelitian kuantitatif diterapkan dalam penelitian ini. Pendekatan dokumentasi digunakanidalam penelitian ini untuk mendapatkanidata. Teknik Sharpe dan uji t sampel kombinasi digunakan untuk menghitung perkembangan nilai ETF MNC LIKUID 36, Indeks MNC LIKUID 36, dan Indeks Harga Saham Gabungan (IHSG). Hasiliuji rata-rata dua perbedaan antara ETF MNC LIKUID36 denganiIndeks MNC LIKUID 36 menunjukkan bahwa tidak terdapat perbedaan yang signifikan antara perkembangan nilai ETF MNC LIKUID36 dengan perkembangan nilai Indeks MNC LIKUID 36, hasil perhitungan dua interval uji beda antara perkembangan nilai ETF MNC LIKUID 36 dengan perkembangan nilai Indeks Harga SahamiGabungan (IHSG) menunjukkan bahwa tidak terdapat perbedaan yang substansial antara keduanya (IHSG), terlihat bahwa IndeksiHarga Saham Gabungan (IHSG) mengalahkan ETFiMNC LIKUD 36 dan Indeks MNC LIKUID 36.
Implementasi Kebijakan Pemerintah Dalam Upaya Meningkatkan Penerimaan PBB di BAKEUDA Kota Tegal Fitriyani, Anisa; Amirah
Konsentrasi: Jurnal Manajemen dan Bisnis Vol. 1 No. 1 (2020): December
Publisher : Major Management, Faculty of Economics and Business, Universitas Pancasakti Tegal

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24905/konsentrasi.v1i1.48

Abstract

Menguraikan beberapa bentuk kesadaran membayar pajak yang mendorong Wajib Pajak untuk membayar pajak salah satunya adalah kesadaran bahwa pajak merupakan bentuk partisipasi dalam menunjang pembangunan negara. Masyarakat mengetahui bahwa peraturan perpajakan sangatlah penting, hal tersebut akan mendorong kesadaran masyarakat terutama Wajib Pajak untuk memenuhi kewajiban perpajakannya. Pengetahuan dan pemahaman peraturan perpajakan merupakan proses wajib pajak mengetahui dan mengaplikasikan pengetahuan tersebut untuk membayar pajak
Bimbingan Teknis Pendataan Massal Wajib Pajak Daerah Kabupaten Tegal Berbasis Nomor Induk Kependudukan Bagi Perangkat Desa Kecamatan Jatinegara Kabupaten Tegal Amin, Mohammad Arridho Nur; Wahyudi, Catur; Muttaqin, Ibnu; Amirah; Murdiati, Sri; Sulistyani, Tri; Herwinarni, Yuniarti; Amalia, Mei Rani
Jurnal Pengabdian Masyarakat Isei Vol. 1 No. 2 (2023): Jurnal Pengabdian Masyarakat Isei
Publisher : ISEI Cabang Pekanbaru, Koordinator Provinsi Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46750/abdimasisei.v1i2.212

Abstract

The Tegal Regency mass taxpayer data collection program based on population identification numbers for Jatinegara sub-district village officials is a program carried out by the Tegal Regency regional government to collect data on how many tax objects are owned by residents in each sub-district. This program was carried out with the aim of providing the government with data that would later be used to calculate how much tax would be paid by taxpayers in each village. Keep in mind that taxes are one of the largest revenues for local governments. In Jatinegara sub-district, the amount of data that has been input and verified is 80% greater than in the other 6 sub-districts. This is because the village operator in charge of input can be committed to making the program a success.
First Step for Vehicle License Plate Identification Using Machine Learning Approach Amirah; Sanmorino, Ahmad
Journal of Computer Science Application and Engineering (JOSAPEN) Vol. 1 No. 1 (2023): JOSAPEN - January
Publisher : PT. Lentera Ilmu Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70356/josapen.v1i1.6

Abstract

Automated vehicle license plate identification, critical in modern transportation systems, finds application in traffic monitoring, law enforcement, and transportation optimization. This study explores machine learning's potential to enhance accuracy and efficiency in this domain. Leveraging neural networks and pattern recognition, it aims to build an automated system robust across diverse conditions. Addressing limitations in traditional methods, it focuses on adapting to lighting, angles, and image quality variations. The societal impact includes streamlining law enforcement and optimizing traffic flow, revolutionizing transportation and surveillance. Methodologies cover data collection, ethical considerations, preprocessing, feature extraction, model selection, and iterative refinement. Ethical data handling ensures privacy compliance. Feature extraction methods like HOG, LBP, CNNs, and color histograms capture crucial aspects for identification. Model selection spans SVMs, CNNs, decision trees, and ensemble methods, considering task complexity and dataset characteristics. This study evaluates machine learning's potential for revolutionizing license plate identification systems.
From Algorithms to Cures: AI's Impact on Drug Discovery Karimah, Fitrah; Amirah
Journal of Computer Science Application and Engineering (JOSAPEN) Vol. 1 No. 2 (2023): JOSAPEN - July
Publisher : PT. Lentera Ilmu Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70356/josapen.v1i2.12

Abstract

This study explores the paradigm-shifting fusion of artificial intelligence (AI) and pharmaceuticals, heralding a new era of innovation in drug development. AI's transformative potential revolutionizes the traditionally arduous drug discovery process by seamlessly assimilating vast data volumes encompassing molecular structures, genetics, and disease pathways. This synergy expedites the identification of potential drug candidates with heightened precision and efficiency, propelling breakthrough treatments. The exploration navigates through AI-driven computational models, showcasing their role in expediting drug validation and optimization. AI's iterative learning enhances predictive capabilities, forecasting medication efficacy and safety profiles, thereby minimizing clinical trial risks and boosting success rates. Beyond acceleration, AI reshapes drug development strategies toward personalized medicine. Analyzing expansive patient datasets, AI tailors treatments based on genetic variations and disease characteristics, promising optimized therapeutic outcomes and minimized adverse effects, marking a departure from traditional healthcare approaches. The methodology employed various research techniques, including literature reviews, data collection, surveys, case studies, synthesis, and recommendations, offering comprehensive insights into AI's impact on drug discovery. In conclusion, the study emphasized AI's transformative potential in revolutionizing drug discovery, advocating for continued exploration and integration to optimize pharmaceutical research and development practices.
Editorial: Smart Parking Management System Using Artificial Intelligence Amirah
Journal of Computer Science Application and Engineering (JOSAPEN) Vol. 2 No. 1 (2024): JOSAPEN - January
Publisher : PT. Lentera Ilmu Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70356/josapen.v2i1.25

Abstract

The escalating challenges of urban parking due to increasing urbanization and rising vehicle numbers have spurred the integration of Artificial Intelligence (AI) into parking management. This article explores the potential of a Smart Parking Management System (SPMS) driven by AI to revolutionize urban parking infrastructure. The SPMS leverages AI technologies, including advanced algorithms, machine learning models, and real-time data analytics, to intelligently monitor, allocate, and optimize parking spaces. Beyond addressing immediate concerns such as congestion and parking availability, the system aligns with broader urban development goals of sustainability and improved quality of life. The SPMS offers benefits beyond convenience, contributing to a more sustainable and eco-friendly urban environment. By optimizing traffic flow and reducing time spent searching for parking, the system aims to decrease fuel consumption, emissions, and overall environmental impact. The emergence of Internet of Things (IoT) technologies plays a crucial role, with sensors in parking spaces providing real-time occupancy information, and enabling dynamic system responses. Mobile applications and smart devices further empower users with real-time information, fostering smart and sustainable transportation habits. While the promise of AI-driven SPMS is considerable, challenges such as data privacy, security, and seamless integration into existing urban infrastructure must be addressed.
Edukasi tentang Demam Berdarah Dengue (DBD) pada Siswa SMKN 1 Indramayu Syaputra, Eko Maulana; Luxiarti, Riantina; Basri K, Sarinah; Fadilah, Dina Jihan; Sri, Diyana; Romadhon, Istiqomah; Najmalia, Risa Nurun; Amirah
Jurnal Pengabdian Masyarakat Bumi Anoa Vol. 3 No. 1 (2024): Jurnal Pengabdian Masyarakat Bumi Anoa
Publisher : Lembaga Penelitian dan Pengabdian Masyarakat Universitas Mandala Waluya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54883/jpmba.v3i1.712

Abstract

Data kasus DBD di Kabupaten Indramayu pada tahun 2021 yakni sebesar 189 kasus DBD dan terjadi 4 kasus kematian. Anak usia sekolah rentan terhadap penularan DBD karena nyamuk jenis ini berdasarkan sifat spesiesnya mulai aktif menggigit pada jam anak sekolah sedang beraktivitas yaitu pada pukul 09.00-10.00 pagi dan pukul 16.00- 17.00 sore hari. Peningkatan pengetahuan, sikap dan tindakan masyarakat khususnya pada anak sekolah tentang DBD akan sangat mendukung percepatan upaya memutus rantai penularan penyakit DBD. Tujuan dengan diberikannya penyuluhan ini adalah untuk menanamkan pentingnya pencegahan DBD. Analisis data menggunakan deskriptif kuantitatif. Lokasi dan waktu pengabdian ini yaitu pada siswa kelas XI akuntansi SMKN 1 Indramayu pada bulan Oktober 2022. Metode yang dilakukan dalam pengabdian ini adalah berupa penyuluhan mengenai DBD dan pencegahannya. Dalam pelaksanaan pengabdian ini juga memberikan kuesioner sebagai feedback dari materi yang telah disampaikan. Dari hasil pengabdian yang dilakukan diperoleh hasil bahwa terdapat 5 siswa yang mendapatkan nilai 100 poin. 9 siswa dengan nilai 90 poin, 8 siswa dengan 80 poin, 6 siswa dengan nilai 70 poin, adapun yang mendapat kan nilai terendah ada 4 siswa dengan 60 poin. Dari hasil pengisian kuesioner tersebut diketahui bahwa sebagian besar para siswa memiliki pengetahuan baik.
Exploring the Role of HEPES Buffer in the Synthesis and Characterization of Lanthanide-Nucleotide Complexes Santi, Santi; Amirah; Putri Salsabila, Nabila
Jurnal Akta Kimia Indonesia (Indonesia Chimica Acta) Volume 17, No 2: December 2024
Publisher : Hasanuddin University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70561/ica.v17i2.41123

Abstract

Lanthanide-nucleotide complexes are of interest due to their unique luminescent properties and have potential applications in a wide range of fields from medical imaging to environmental sensing. Given the sensitive nature of biochemical reactions, the choice of reaction conditions including pH plays a crucial role in determining the synthesis yield. One of the buffering agents that has gained prominence in this synthetic methodology is HEPES (4-(2-hydroxyethyl)-1-piperazineethanesulfonic acid). This study investigates the role of HEPES buffer in maintaining stable pH conditions, which are critical for the successful formation of lanthanide-nucleotide complexes. Terbium complexes with adenosine triphosphate ligands have been successfully synthesized with a maximum reaction time of 60 minutes. The complex was characterized using a UV-Vis spectrophotometer where the absorption peak at a wavelength of 257.5 nm indicates the occurrence of π-π* electron transitions. There is an absorption band at a wavelength of 349 cm-1 in the TbATP complex using an FT-IR spectrophotometer, this can be associated with the vibration of the Tb-N bond, which confirms the formation of a terbium complex with adenosine triphosphate. A sharp infrared absorption band at a wavelength of 630 cm-1 indicates the presence of vibrations of the O-H bond bound to the terbium ion, namely the formation of a Tb-OH complex bond, indicating that the phosphate group in ATP is involved in the formation of the complex.
SOSIALISASI PENAGIHAN PIUTANG PAJAK BUMI DAN BANGUNAN (PBB-P2) DI KABUPATEN TEGAL Amirah; Amin, Mohammad Arridho Nur; Murdiati, Sri; Wijaya, Juli Riyanto Tri
Masyarakat: Jurnal Pengabdian Vol. 1 No. 2 (2024)
Publisher : Yayasan Pendidikan Dan Pengembangan Harapan Ananda

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58740/m-jp.v1i2.267

Abstract

Salah satu permasalahan yang sering dihadapi oleh Wajib Pajak Bumi dan Bangunan (PBB-P2) dalam pembayaran pajak yaitu besarnya pembayaran PBB-P2 terutang. Melalui Pengab­dian Kepada Masyarakat diharapkan agar masing-masing Kepala Desa dapat memahami besaran pembayaran yang harus dibayar warganya pada PBB-P2 terutang serta memberikan sosialisasi kepada warga desanya sehingga WP yang berasal dari berbagai desa di Kebupaten Tegal dapat taat dalam pem­ba­yaran PBB-P2. Dengan demikian melalui pengabdian ini akan memberikan pemahaman kepada para peserta untuk dapat membayar tunggakan pajak dan dapat taat dalam pembayaran pajak selajutnya. Sasaran dalam pengabdian ini adalah Kepala Desa seKabupaten Tegal. Metode yang digunakan yaitu sosialisasi sekaligus pelatihan dengan metode pembelajaran partisipatif. Kegiatan ini dilaksanakan pada hari Selasa tanggal 13 Agustus 2024 jam 09.00 Wib sampai dengan selesai. Hasil kegiatan pengabdian menunjukkan bahwa terjadi peningkatan pemahaman tentang subjek pajak PBB-P2, Objek pajak, pengecualian objek pajak PBBP2, pengisian Surat pemberitahuan objek pajak (SPOP) sampai dengan dilakukannya pembayaran utang PBB-P2 yang dilakukan warga di desa seKabupaten Tegal. Untuk selanjutnya warga di desa seKabupaten Tegal diharapkan akan lebih sadar akan pentingnya pembayaran PBB agar tidak terjadi utang yang menimbulkan denda di masa mendatang.
Co-Authors Ahmad Sanmorino Anson, Adriel Moses Ariyadi Wijaya Arlitha Deka Yana Catur Wahyudi, Catur Desyani Ariza Dewi, Risma Arlia Sinta Efrianto Eko Maulana Syaputra Fadilah, Dina Jihan Faizal, Achmad Fajar Fitriyani, Anisa Gilbreth Pamean 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 Muttaqin, Ibnu Najmalia, Risa Nurun Parwati, Ni Made Suwitri Putri Salsabila, Nabila Romadhon, Istiqomah Salsabila, Amelia Azhar Santi Santi Sarinah Basri K Sri Murdiati Sri Murdiati Sri, Diyana sukhriyatun fitriyah Susilawati, Agnes Dwita Syaputra, Eko Maulana Tabrani Tanra, Andi Ainil Mufidah Titi Purnama Totanan, Chalarce Tri Sulistyani Tubety, Ari Yanasari, Dita Yudistira Yuni Utami Yuniarti Herwinarni Zahra, Y