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All Journal CALYPTRA : Jurnal Ilmiah Mahasiswa Universitas Surabaya Pendas : Jurnah Ilmiah Pendidikan Dasar Jurnal Abadimas Adi Buana Contemporary Mathematics and Applications (ConMathA) Majalah Cendekia Mengabdi JIAR : Journal Of International Accounting Research Jurnal Pendidikan Islam Al Ikhlas
Auli Damayanti
Departemen Matematika, Fakultas Sains Dan Teknologi, Universitas Airlangga
Religion Humanities Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Energy Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Materials Science & Nanotechnology Mathematics Public Health Social Sciences Other

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ANALISIS PENGENDALIAN INTERNAL ORGANISASI PENGELOLA ZAKAT (OPZ) PADA LAZNAS “X” DI SURABAYA DALAM RANGKA MENINGKATKAN EFEKTIVITAS DAN EFISIENSI ORGANISASI Damayanti, Aulia; Harindahyani, Senny
CALYPTRA Vol. 7 No. 1 (2018): Calyptra : Jurnal Ilmiah Mahasiswa Universitas Surabaya (September)
Publisher : Perpustakaan Universitas Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (456.782 KB)

Abstract

Penelitian ini bertujuan untuk mengetahui kelima komponen pengendalian internal yang diterapkan dalam Organisasi Pengelola Zakat (OPZ) dalam ketiga aktivitas pada LAZNAS “X” yang ada di Surabaya. Penelitian ini secara khusus ingin mengetahui bagaimana penerapan pengendalian internal yang baik untuk OPZ sehingga dapat meningkatkan efektivitas dan efisiensi dari organisasi. Jenis penelitian yang digunakan adalah applied research dengan metode pendekatan kualitatif. Dalam penelitian ini disebutkan rekomendasi bagi LAZNAS “X” agar dapat meningkatkan pengendalian internalnya dalam menjalankan aktivitas OPZ. Hasil penelitian menemukan bahwa perlu adanya peningkatan dari pengendalian internal yang diterapkan dalam masing-masing aktivitas. Peningkatan diperlukan sebab pengendalian internal yang masih lemah di salah satu komponen. Peningkatan pengendalian internal dalam aktivitas OPZ mampu meningkatkan efektivitas dan efisiensi organisasi.
Voice-Based Emotion Identification Based on Mel Frequency Cepstral Coefficient Feature Extraction Using Self-Organized Maps and Radial Basis Function Nikmah, Asrivatun; Damayanti, Auli; Winarko, Edi
Contemporary Mathematics and Applications (ConMathA) Vol. 7 No. 1 (2025)
Publisher : Universitas Airlangga

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20473/conmatha.v7i1.68246

Abstract

Speech recognition is one of the most popular research fields, one of which is about emotion identification. Voice-based emotion identification is carried out to determine the pattern of emotions using the depth analysis mechanism of voice signal development and feature extraction that carries the emotional characteristic parameters of the speaker's voice. Furthermore, the emotional characteristics of the speaker's voice are classified using an artificial neural network method to recognize patterns. In this study, emotion identification from voice signal data is classified into angry, sad, happy, and neutral emotions. The stages of voice-based emotion identification, including the feature extraction stage using the mel frequency cepstral coefficient, produce coefficient values, which will be used in the identification stage using the Self Organized Maps method on the Radial Basis Function.
ANALISIS RASIO LIKUIDITAS, PROFITABILITAS DAN SOLVABILITAS UNTUK MENGUKUR KINERJA KEUANGAN PADA PT AKR CORPORINDO TBK PERIODE 2014-2023 Damayanti, Aulia; Mardiana, Sri
JIAR : Journal Of International Accounting Research Vol 4 No 01 (2025): JIAR : Journal Of International Accounting Research
Publisher : Pusat Studi Ekonomi Publikasi Ilmiah dan Pengembangan SDM

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62668/jiar.v4i01.1701

Abstract

Penelitian ini bertujuan untuk mengetahui bagaimana kinerja keuangan PT AKR Corporindo Tbk periode 2014-2023 dengan menggunakan Rasio Likuiditas, Rasio Profitabilitas, dan Rasio Solvabilitas. Penelitian ini menggunakan metode deskriptif asosiatif yang berdasarkan laporan keuangan PT AKR Corporindo Tbk periode 2014-2023. Berdasarkan dari hasil perhitungan Rasio Likuiditas yang menggunakan Current Ratio, Cash Ratio, dan Quick Ratio dalam menilai kinerja keuangan PT AKR Corporindo Tbk periode 2014-2023, diperoleh nilai Current Ratio dinyatakan “Kurang Baik”, nilai Cash Ratio dinyatakan “Kurang Baik” dan Quick Ratio dinyatakan “Kurang Baik”. Hasil perhitungan Return On Assets yaitu “Kurang Baik”, Return On Equity dinyatakan “Kurang Baik”, dan Net Profit Margin dinyatakan “Kurang Baik”. Sedangkan perhitungan Debt to Assets Ratio dinyatakan “Kurang Baik”, perhitungan Debt to Equity Ratio dinyatakan “Kurang Baik” dan Long Term Debt to Equity Ratio dinyatakan “Sangat Baik”.
Pengaruh media sosial terhadap sosialisasi remaja di era digital Damayanti, Aulia; Khasanah, Nur
Jurnal Pendidikan Agama Islam Vol 2 No 2 (2025): Jurnal Pendidikan Agama Islam
Publisher : Sekolah Tinggi Agama Islam (STAI) AL-IKHLAS DAIRI SIDIKALANG

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.64677/ppai.v2i2.200

Abstract

This research seeks to examine how social affects the socialization process of adolescent in the contemporary digital age. The rapid advancement of information technology has transformed patterns of social communication, especially among teenagers who are active social media users. This research employs a library research method by reviewing relevant academic literature. The findings indicate that social media exerts a dual influence on adolescent socialization. Positively, it expands social networks, enhances creativity, and serves as a medium for learning and character development. Conversely, excessive use may lead to psychological disorders, reduced face-to-face interactions, and deviant behaviors such as cyberbullying and hedonism. Efforts to optimize adolescent socialization in the digital era can be achieved through parental supervision, digital literacy education in schools, and the cultivation of responsible online ethics.
Cryptocurrency Price Prediction Using Long Short Term Memory Algorithm and Moving Average Convergence Divergence Abiyyu Dicky Pratama; Auli Damayanti; Edi Winarko
Contemporary Mathematics and Applications (ConMathA) Vol. 8 No. 1 (2026)
Publisher : Universitas Airlangga

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20473/conmatha.v8i1.76496

Abstract

Cryptocurrency is one of the digital assets that is increasingly popular for investment in Indonesia. However, the price movements of cryptocurrencies tend to be volatile, as prices can change at any time and are not easy to predict. This study aims to predict cryptocurrency price movements using the Long Short-Term Memory Algorithm (LSTM) and Moving Average Convergence Divergence (MACD). LSTM is an algorithm used to generate optimal weights and biases in modeling cryptocurrency data, while MACD is used to analyze trends and momentum in cryptocurrency prices. The data used consists of daily closing prices of Bitcoin (BTC), totaling 809 data points. The data is divided into 70% (566 data) for the training process and 30% (243 data) for the testing process. From this data, patterns are formed with five inputs and one output, resulting in 561 patterns for the training process and 238 patterns for the testing process. The LSTM and MACD processes for predicting cryptocurrency include procedures for data input, data division, parameter initialization, LSTM calculation, average error evaluation, and MACD calculation. Based on the program implementation, with several parameter values, the average error difference obtained during the training stage is 0.0695 and 0.0303 during the testing stage. Because the average error difference obtained is relatively small, this indicates that LSTM-MACD is capable of recognizing data patterns and predicting data effectively.
TRANSFORMASI STRATEGI PEMBELAJARAN DI ERA DIGITAL: UPAYA MENINGKATKAN KETERLIBATAN DAN KEMANDIRIAN PESERTA DIDIK Aulia Irmiati, Rahma; Damayanti, Aulia; Fitriani, Hikma; Ana, Nurlaila
Pendas : Jurnal Ilmiah Pendidikan Dasar Vol. 11 No. 02 (2026): Volume 11 No. 2, Juni 2026 Publish
Publisher : Program Studi Pendidikan Guru Sekolah Dasar FKIP Universitas Pasundan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23969/jp.v11i02.49487

Abstract

The development of digital technology has brought about significant changes in the world of education, particularly in the transformation of learning strategies from conventional methods to digital-based learning. This study aims to analyze the transformation of learning strategies in the digital era and its impact on student engagement and learning independence. The study employed qualitative methods with library research, collecting data from books, journals, scientific articles, and relevant previous research. The data analysis technique employed descriptive qualitative analysis, systematically categorizing and interpreting the data. The results indicate that the transformation in learning is characterized by the development of student-centered learning, blended learning, digital learning, project-based learning, collaborative learning, personalized learning, and the use of Artificial Intelligence (AI). These strategies have a positive impact on student engagement and learning independence, as they become more active, creative, and independent, and are able to improve critical and collaborative thinking skills. However, the implementation of digital learning still faces challenges, such as limited access to technology, low digital literacy, and decreased concentration. Therefore, technological support and innovative learning strategies are needed for effective digital learning.
RESEARCH TRENDS ON THE DEVELOPMENT OG AUGMENTED REALITY (AR)-BASED INTERACTIVE LEARNING MATERIALS TO IMPROVE LEARNING OUTCOMES FOR ELEMENTARY SCHOOL: A BIBLIOMETRIK ANALYSIS (2022-2026) Damayanti, Aulia; Nuni Widiarti; Bambang Subali; Ellianawati; Tri Joko Raharjo
Pendas : Jurnal Ilmiah Pendidikan Dasar Vol. 11 No. 02 (2026): Volume 11 No. 2, Juni 2026 Release
Publisher : Program Studi Pendidikan Guru Sekolah Dasar FKIP Universitas Pasundan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23969/jp.v11i02.54188

Abstract

The rapid development of digital technology has had an impact on the learning system in primary schools and increased pupils’ screen time. Currently, teachers in Indonesia still lack adequate digital competence, which is one of the factors affecting pupils’ learning outcomes. This study aims to analyse research trends regarding the development of Augmented Reality (AR)-based interactive learning media to improve the learning outcomes of primary school students using a bibliometric approach. Data were obtained from 37 documents indexed in the Scopus database from 2022-2026. Data analysis was conducted using the Scopus Analyze feature and VOSviewer software. The results indicate a significant increase in the number of publications, particularly between 2023 and 2025. Indonesia is the country contributing the most publications. Social Sciences is the dominant field of study. Keyword co-occurrence analysis identified three main clusters related to the implementation of AR in learning, the effectiveness of AR technology use, and the impact of AR on learning outcomes. Furthermore, overlay visualisations indicate a shift in research trends towards the use of technology in learning and the application of Augmented Reality in primary schools. Overall, these findings suggest that research on Augmented Reality in primary education continues to evolve and still offers ample opportunities for future studies within different educational contexts.
Co-Authors Abiyyu Dicky Pratama Alfiniyah, Cicik Ali Rakhman Hakim Asri Bekti Pratiwi, Asri Bekti Aulia Irmiati, Rahma Bambang Subali Defitamira, Olvi Dicky Zulfikar Zurkarnain Edi Winarko Edi Winarko Edi Winarko Ellianawati Fiqih Fathor Rachim Fitriani, Hikma Herry Suprajitno Ilham Ramadhani Jaelani, Abdulloh Mardiana, Sri Mustaqimah Mustaqimah Nikmah, Asrivatun Nuni Widiarti Nur Khasanah Nurlaila Ana Piping Prabawati Radifan Darari Rina Saputri Rizkita Apriliana Sari, Rani Normaya Savitri, Amanda Shelvia Senny Harindahyani Sofiah Ishlakhul Abda Tri Joko Raharjo Ujuldah, Anisa Vania, Risma Ananda