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All Journal ComEngApp : Computer Engineering and Applications Journal Jurnal Nasional Komputasi dan Teknologi Informasi IJISTECH (International Journal Of Information System & Technology) FINANSIA : Jurnal Akuntansi dan Perbankan Syariah Jurnal Keperawatan Widya Gantari Indonesia Jurnal Ilmu Perbankan dan Keuangan Syariah REMITTANCE: JURNAL AKUNTANSI KEUANGAN DAN PERBANKAN SENADA : Semangat Nasional Dalam MengabdI IJISTECH IJORER : International Journal of Recent Educational Research Jurnal Keuangan dan Perbankan(KEBAN) Al Hisab: Jurnal Ekonomi Syariah Ziswaf Asfa Journal
Sari, Anggi Puspita
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Religion Aerospace Engineering Automotive Engineering Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Health Professions Languange, Linguistic, Communication & Media Mathematics Medicine & Pharmacology Neuroscience Public Health Social Sciences Transportation Other

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Perancangan dan Implementasi Data Warehouse – A Systematic Literature Review (SLR) Uddin, Badie; Suryani, Suryani; Andita, Ai Selpia; Sari, Anggi Puspita
Jurnal Nasional Komputasi dan Teknologi Informasi (JNKTI) Vol 7, No 5 (2024): Oktober 2024
Publisher : Program Studi Teknik Komputer, Fakultas Teknik. Universitas Serambi Mekkah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32672/jnkti.v7i5.7971

Abstract

Abstrak - Data warehouse berguna untuk analisis mendalam dan memperoleh informasi lebih akurat ketika pengambilan keputusan. Penelitian perancangan dan implementasi data warehouse meningkatkan proses pengambilan keputusan sebagai integrasi data dari berbagai sumber, memungkinkan analisis data lebih cepat dan akurat. Studi literatur ini mengulas berbagai pendekatan dalam perancangan dan implementasi data warehouse di berbagai bidang, termasuk penjualan produk tour, perpustakaan universitas, akademik perguruan tinggi, dan analisis kinerja perusahaan. Hasil tinjauan menunjukkan bahwa penerapan metodologi sistematis dan model star schema dapat meningkatkan efisiensi dan akurasi pengolahan data. Penelitian ini dapat memberikan praktisi dalam mengembangkan data warehouse efektif, memfasilitasi akses data cepat dan tepat untuk mendukung pengambilan keputusan yang lebih baik.Kata Kunci: Studi Literatur, Data Warehouse, Nine Step Kimball, Star Schema. Abstract - Data warehouses are useful for in-depth analysis and obtaining more accurate information when making decisions. Data warehouse design and implementation research improves the decision-making process as the integration of data from various sources, enabling faster and more accurate data analysis. This literature review examines various approaches to data warehouse design and implementation in various fields, including product sales tours, university libraries, academic colleges, and company performance analysis. The review shows that the application of systematic methodology and star schema model can improve the efficiency and accuracy of data processing. This research can provide practitioners in developing an effective data warehouse, facilitating fast and precise data access to support better decision making. Keywords: Literature Study, Data Warehouse, Kimball's Nine Steps, Star Schema.  
How Does Bank Syariah Indonesia's Financial Performance Measure Up Using The RGEC Method's Bank Health Assessment? Sari, Anggi Puspita
Jurnal Keuangan dan Perbankan (KEBAN) Vol. 3 No. 1 (2023): Juli-Desember
Publisher : Universitas Serang Raya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30656/jkk.v3i1.7764

Abstract

Banks are required to conduct periodic self-assessment of their health level and take effective corrective measures using an assessment of factors including risk profile, good corporate governance (GCG), earnings, and capital, abbreviated as RGEC. The RGEC method is what banks currently use to assess the health level of banks because it is a refinement of previous methods. The degree of bank health as determined by the RGEC technique is the subject of this quantitative descriptive study, which analyzes Bank Syariah Indonesia's health for the years 2019 to 2022. The study's secondary data sources are the yearly financial reports of Islamic Commercial Banks covering the years 2019 to 2022. The following findings are derived from the debate of Bank Syariah Indonesia's Islamic banking sharia for the 2019–2022 evaluation period, The non-performing financing ratio (NPF Nett in composite position 1 may be considered to be in very good health. Conversely, Bank Syariah Indonesia's FDR ratio values in composite positions 1 and 2 might be considered highly healthy. Bank Syariah Indonesia's GCG ratio in composite position 2 may be considered healthy. The Bank Syariah Indonesia's earnings evaluation, or its capacity to turn a profit, received a composite score of 3 to 1, indicating that it is both fairly healthy and extremely healthy from 2019 to 2022. Bank Syariah Indonesia's bank capital was evaluated from 2019 to 2022, and it received a composite evaluation of 1, meaning it is in excellent condition.
Imbalanced Data NearMiss for Comparison of SVM and Naive Bayes Algorithms Gunawan , Wawan; Devianto , Yudo; Sari, Anggi Puspita
Computer Engineering and Applications Journal (ComEngApp) Vol. 13 No. 3 (2024)
Publisher : Universitas Sriwijaya

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

Abstract

The study aims to improve the diagnosis, management, and prevention of HIV/AIDS by using classification algorithms. The dataset used consists of 707,379 records and 89 columns. Data preprocessing includes removing irrelevant attributes, handling inconsistencies, and balancing the data using the NearMiss method, resulting in a balanced proportion of reactive and non-reactive HIV cases. Once the data is balanced, it is split into several ratios: 60:40, 70:30, 80:20, and 90:10. The classification models used in this study are Naive Bayes and SVM. The models are evaluated using the metrics Accuracy, Precision, Recall, and F1-Score. The results show that the SVM model achieves the highest accuracy of 82.6% with a 90:10 data split at a 6-fold value, and 82.2% with a 60:40 data split at a 5-fold value. On the other hand, Naive Bayes achieves the highest accuracy of 61.1% with a 60:40 data split.
THE STRATEGY TO OPTIMIZE THE USE OF BLOCKCHAIN TECHNOLOGY IN DIGITAL SYSTEMS: A CASE STUDY Sari, Anggi Puspita
Al-Hisab: Jurnal Ekonomi Syariah Vol 5 No 2 (2025): AL HISAB: Jurnal Ekonomi Syariah
Publisher : Sekolah Tinggi Ilmu Ekonomi Syariah Baktiya Aceh Utara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59755/alhisab.v5i2.106

Abstract

Early in the twenty-first century, a new phenomena known as "digitalization" emerged, linking technology and civilization while providing clever and practical advantages to humankind. One way to manage zakat money collecting and distribution is for zakat organizations to implement the blockchain idea. The purpose of this study is to present an overview of the potentials, capabilities, and prospects associated with the application of blockchain technology in zakat organizations, particularly in Indonesia. The approach is a literature review, which involves reading a variety of pertinent works and balancing them with similar research on occurrences in other nations. An extensive literature survey on the digitalization of zakat using the blockchain technology was done for this research, which is a descriptive qualitative study. The zakat ecosystem may be further enhanced by the dynamic growth of technology, particularly with the rise of blockchain technology. Blockchain provides the idea of permanent, real-time, safe, and transparent decentralized data.
AN EXAMINATION OF BANK MUAMALAT INDONESIA'S FINANCIAL PERFORMANCE USING THE ANGELS METHOD Sari, Anggi Puspita
REMITTANCE: JURNAL AKUNTANSI KEUANGAN DAN PERBANKAN Vol 4, No 2 (2023): REMITTANCE DESEMBER 2023
Publisher : Institut Teknologi dan Bisnis Swadharma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56486/remittance.vol4no2.411

Abstract

This research aims to evaluate Bank Muamalat Indonesia's performance from 2016 to 2020 using the ANGELS approach. The data sources for the quantitative descriptive technique are from Bank Muamalat Indonesia's annual report. The study's findings revealed that The amanah management area of the bank is accessible through the bank's annual report and, as previously said, displays a healthy category. The implementation of corporate governance is ensured by the bank's yearly report. It would be reasonable to conclude that Bank Muamalat Indonesia is in good condition despite the calculation results of Bank Muamalat Indonesia were predicated on less trustworthy. This shows that the company can maintain its performance in the long term or in the event of liquidation. The availability of a bank's capital facilitates operations to a certain degree. The analysis results show that, even if the quantity of productive assets has increased, Bank Muamalat Indonesia's KAP development is still smaller than the yearly increase in APYD. Examining the data reveals that Bank Muamalat Indonesia has an excellent basis. The distribution of funds is handled by the organization responsible for allocating charity and zakat funds by the direction of the Supervisory Board.Penelitian ini bertujuan untuk mengevaluasi kinerja Bank Muamalat Indonesia tahun 2016-2020 menggunakan pendekatan ANGELS. Penelitian menggunakan teknik deskriptif kuantitatif dengan sumber data berasal dari laporan tahunan Bank Muamalat Indonesia. Temuan penelitian mengungkapkan bahwa Area manajemen amanah bank dapat diakses melalui laporan tahunan bank dan menunjukkan kategori yang sehat. Penerapan tata kelola perusahaan yang bertanggung jawab dipastikan oleh laporan tahunan bank. Maka dapat disimpulkan bahwa Bank Muamalat Indonesia berada dalam kondisi sehat walaupun ada perbedaan dengan hasil perhitungan Bank Muamalat Indonesia yang berpredikat kurang dapat dipercaya. Hal ini menunjukkan bahwa perusahaan dapat mempertahankan kelangsungan hidupnya dalam jangka panjang atau saat terjadi likuidasi. Ketersediaan modal bank memfasilitasi operasi sampai tingkat tertentu. Hasil analisis menunjukkan meskipun secara kuantitas aktiva produktif mengalami peningkatan, perkembangan KAP Bank Muamalat Indonesia menunjukkan masih lebih kecil dibandingkan dengan peningkatan APYD setiap tahunnya. Menelaah data tersebut menunjukkan bahwa Bank Muamalat Indonesia memiliki dasar yang sangat baik. Penyaluran dana ditangani oleh organisasi yang bertanggung jawab untuk mengalokasikan dana sosial dan zakat sesuai dengan arahan Dewan Pengawas
ADOPTION OF USER SATISFACTION WITH THE UTAUT2 MODEL IN USING INDONESIA SHARIA MOBILE BANKING Sari, Anggi Puspita; Sukardi, Budi; Abadi, Muhammad Kurnia Rahman
FINANSIA : Jurnal Akuntansi dan Perbankan Syariah Vol 7 No 1 (2024): FINANSIA : Jurnal Akuntansi dan Perbankan Syariah
Publisher : Fakultas Ekonomi Dan Bisnis Islam IAIN Metro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32332/finansia.v7i1.8165

Abstract

Indonesia has a large number of internet users, which at the very least indicates its enormous digital potential. Banks and other financial institutions are benefiting from improved digital offerings. This study strengthens literacy and inclusion as an effective strategy for strengthening the effects of the integrated UTAUT2 construct model with user satisfaction using Islamic mobile banking applications. Quantitative research type, with a research sample of 206 respondents as the primary data source using a questionnaire survey. Data analysis using partial regression analysis (PLS-SEM). The results prove that several factors have a positive and significant effect, namely the variables of behavioral intention, facilitating conditions, habit on user behavior and habit, hedonic motivation, and user satisfaction on behavioral intention. On the other hand, some variables do not affect, namely the variables of performance expectancy, effort expectancy, facilitating conditions, price value, and social influence on behavioral intention.
Development of Artificial Intelligence-Based Microcontroller Practice Learning Media Sari, Anggi Puspita; Gunawan Zain , Satria; Abdul Djawad, Yasser
IJORER : International Journal of Recent Educational Research Vol. 7 No. 5 (2026): September
Publisher : Faculty of Teacher Training and Education Muhammadiyah University of Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46245/ijorer.v7i5.1290

Abstract

This study aims to design learning media for Artificial Intelligence-based Microcontroller practicum and analyze the validity, practicality and effectiveness of learning media for Artificial Intelligence-based microcontroller practicum. The study uses a modified Research and Development (R&D) method from the Borg & Gall, 4-D, and ADDIE models. The product developed is an APSteach AI web that has digital jobsheet features with AI chatbot, automatic assistance, report upload, and AI-based quizzes. The validation results show that material experts give an average value of 90.27% and 91.66%, while media experts give a value of 93.75% to 100%, all of which are categorized as very feasible. The practicality test shows results of 93.75% (individual), 90% (small group), and 86.58% (large group). The effectiveness test shows a very feasible category with achievements of 95.41%, 87.5%, and 86.58%. The results of the Liliefors normality test show that all pretest and posttest data are normally distributed (L count ≤ L table = 0.161). The homogeneity test shows that the data variance is homogeneous (sig. 0.246 > 0.05). The Independent Sample T-Test test shows a significance of 0.01 < 0.05, so there is a significant difference in learning outcomes between the experimental class and the control class. Overall, AI-based learning media is proven to be valid, practical, and effective, and is suitable for use to improve student understanding and independence in learning Microcontroller practicum.
Co-Authors Abadi, Muhammad Kurnia Rahman Abdul Djawad, Yasser Andita, Ai Selpia Badie Uddin Budi Sukardi Embun Fajar Wati Gunawan Zain , Satria Gunawan, Wawan Herlina, Santi Muhammad Alan Nur Perangin-Angin, Elvi Sunita Suryani Suryani Wawan Gunawan Yudo Devianto