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Agung Dharmawan Buchdadi

Universitas Negeri Jakarta

Author-ID : 3329107

Religion Agriculture, Biological Sciences & Forestry Arts Humanities Automotive Engineering Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Decision Sciences, Operations Research & Management Dentistry Economics, Econometrics & Finance Education Energy Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Mathematics Medicine & Pharmacology Nursing Public Health Social Sciences Transportation Other

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Pengaruh Corporate Governance, Green Accounting, dan Environmental Management System terhadap Profitabilitas Pada Perusahaan Pertambangan Yang Terdaftar di Bursa Efek Indonesia Tahun 2018-2022 Ramdani, Adnan Fauzan; Buchdadi, Agung Dharmawan; Mahfirah, Titis Fatarina
Jurnal Masharif al-Syariah: Jurnal Ekonomi dan Perbankan Syariah Vol 9 No 3 (2024)
Publisher : Universitas Muhammadiyah Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30651/jms.v9i3.23129

Penelitian ini bertujuan untuk menemukan bukti empiris mengenai pengaruh dewan komisaris, dewan direksi, komite audit, green accounting dan environmental management system terhadap tingkat profitabilitas. Profitabilitas pada penelitian ini menggunakan proksi return on asset dan Tobin’s Q. Populasi yang digunakan adalah perusahaan sektor pertambangan yang terdaftar di Bursa Efek Indonesia. Metode penelitian yang digunakan pada penelitian ini adalah kuantitatif. Data bersumber berdasarkan data sekunder yaitu annual report dan laporan keberlanjutan yang diterbitkan dari masing-masing perusahaan. Sampel penelitian dipilih menggunakan teknik purposive sampling sehingga didapatkan total 33 perusahaan pertambangan dengan total pengamatan yaitu 165 data observasi selama 5 tahun. Sebanyak 80 data outlier dikeluarkan dari analisis sehingga diperoleh sebanyak 80 data observasi. Teknik analisis yang digunakan adalah analisis linier berganda dengan bantuan program StataMP 17. Hasil penelitian ini menunjukkan bahwa dewan komisaris tidak berpengaruh terhadap profitabilitas yang diukur dengan ROA. Sebaliknya dewan komisaris berpengaruh negatif terhadap profitabilitas yang diukur dengan Tobins’Q. Dewan direksi tidak berpengaruh terhadap profitabilitas yang diukur dengan ROA dan Tobin’s Q. Komite audit berpengaruh negatif terhadap profitabilitas yang diukur dengan ROA. Sebaliknya komite audit tidak berpengaruh terhadap profitabilitas yang diukur dengan Tobins’Q. Green accounting tidak berpengaruh terhadap profitabilitas yang diukur dengan ROA. Sebaliknya green accounting berpengaruh negatif terhadap profitabilitas yang diukur dengan Tobins’Q. EMS tidak berpengaruh terhadap profitabilitas yang diukur dengan ROA maupun dengan Tobins’Q.

Analisis Faktor-Faktor yang Memengaruhi Tingkat Underpricing (Studi pada Perusahaan Sektor Consumer Cyclical dan Non-Cyclical yang Melakukan IPO di BEI Tahun 2020-2023) Cahyani, Dwi; Buchdadi, Agung Dharmawan; Mahfirah, Titis Fatarina
Jurnal Masharif al-Syariah: Jurnal Ekonomi dan Perbankan Syariah Vol 9 No 3 (2024)
Publisher : Universitas Muhammadiyah Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30651/jms.v9i3.23130

Penelitian ini bertujuan untuk menguji pengaruh return on equity, current ratio, ukuran perusahaan, persentase penawaran saham, umur perusahaan, dan reputasi underwriter terhadap tingkat underpricing. Variabel underpricing pada penelitian ini menggunakan dua proksi, yaitu initial return hari pertama (IR1) dan initial return hari ketujuh (IR7). Populasi yang digunakan adalah perusahaan sektor consumer cyclical dan non-cyclical yang melakukan Initial Public Offering (IPO) di Bursa Efek Indonesia periode tahun 2020-2023. Sampel penelitian dipilih menggunakan teknik purposive sampling dan didapatkan total 71 perusahaan untuk model I (IR1) dan 62 perusahaan untuk model II (IR7). Data yang digunakan pada penelitian ini merupakan data sekunder yang berasal dari Bursa Efek Indonesia dan website masing-masing perusahaan. Metode penelitian yang digunakan pada penelitian ini adalah kuantitatif. Teknik analisis yang digunakan adalah analisis regresi linier berganda dengan bantuan program Eviews 12. Berdasarkan analisis data ditemukan bahwa return on equity berpengaruh negatif terhadap tingkat underpricing jika diukur menggunakan IR7, tetapi tidak berpengaruh saat menggunakan IR1. Ukuran perusahaan berpengaruh positif terhadap tingkat underpricing jika diukur menggunakan IR1, tetapi tidak berpengaruh saat menggunakan IR7. Persentase penawaran saham berpengaruh positif terhadap tingkat underpricing jika diukur menggunakan IR1 maupun IR7. Reputasi underwriter berpengaruh negatif terhadap tingkat underpricing jika diukur menggunakan IR7, tetapi tidak berpengaruh saat menggunakan IR1. Sedangkan current ratio dan umur perusahaan tidak memberikan pengaruh terhadap tingkat underpricing jika diukur menggunakan IR1 maupun IR7

PENGARUH PERENCANAAN KEUANGAN DAN KEBIASAAN MENABUNG TERHADAP PERILAKU OVERSPENDING PADA INTERVENING SPENDING SELF-CONTROL PENGGUNA E-WALLET GENERASI Z Perdana, Sararya Haikal; Buchdadi, Agung Dharmawan; Aditya , Shandy
Neraca: Jurnal Ekonomi, Manajemen dan Akuntansi Vol. 3 No. 6 (2025): Neraca: Jurnal Ekonomi, Manajemen dan Akuntansi
Publisher : Neraca: Jurnal Ekonomi, Manajemen dan Akuntansi

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Penelitian ini dilakukan terhadap 316 responden Generasi Z pengguna e-wallet dengan tujuan untuk mengidentifikasi dan menganalisis pengaruh Perencanaan Keuangan dan Kebiasaan Menabung terhadap Perilaku Overspending, baik secara langsung maupun tidak langsung melalui variabel mediasi Spending Self-Control. Penyebaran kuesioner dilakukan secara daring, dan pengolahan data menggunakan perangkat lunak SmartPLS dengan metode analisis Structural Equation Modeling–Partial Least Squares (SEM–PLS).

ANALISIS PENGARUH DIVIDEND PAYOUT RATIO, LEVERAGE, DAN PERTUMBUHAN PERUSAHAAN TERHADAP NILAI PERUSAHAAN DALAM KONTEKS PASCA PANDEMI DI SEKTOR MANUFAKTUR Bima Erlangga; Agung Dharmawan Buchdadi; Puji Yuniarti
Neraca: Jurnal Ekonomi, Manajemen dan Akuntansi Vol. 3 No. 6 (2025): Neraca: Jurnal Ekonomi, Manajemen dan Akuntansi
Publisher : Neraca: Jurnal Ekonomi, Manajemen dan Akuntansi

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Penelitian ini bertujuan untuk menganalisis pengaruh Dividend Payout Ratio (DPR), leverage, dan pertumbuhan perusahaan terhadap nilai perusahaan pada sektor manufaktur di Indonesia dalam konteks pasca pandemi. Nilai perusahaan diukur menggunakan dua proksi, yaitu Tobin’s Q dan Price to Book Value (PBV), dengan pendekatan regresi data panel dan regresi linier berganda terhadap data sekunder dari perusahaan manufaktur yang terdaftar di Bursa Efek Indonesia (BEI) selama periode 2020–2023. Hasil analisis menunjukkan bahwa pengaruh DPR terhadap nilai perusahaan cenderung tidak signifikan, bahkan negatif dalam jangka menengah, mencerminkan pergeseran preferensi investor terhadap retensi laba sebagai strategi pertumbuhan pasca pandemi. Leverage menunjukkan pengaruh positif signifikan pada masa pandemi, namun menjadi tidak signifikan di masa pemulihan, mengindikasikan peran kontekstual utang dalam persepsi pasar. Sebaliknya, pertumbuhan perusahaan yang diukur melalui pertumbuhan aset konsisten menunjukkan pengaruh positif signifikan terhadap nilai perusahaan. Temuan ini menekankan pentingnya memahami dinamika kebijakan keuangan dalam kerangka makroekonomi yang berubah dan memberikan implikasi bagi teori sinyal, teori pecking order, dan teori pertumbuhan perusahaan dalam konteks krisis dan pemulihan ekonomi.

The Influence of Behavior Biases on Investment Decisions Is Moderate by Financial Literacy Among Government Employees at The Republic of Indonesia's BPK Virnalici, Virnalici; Ulupui, Igka; Dharmawan Buchdadi, Agung
International Journal of Social Science, Education, Communication and Economics Vol. 2 No. 6 (2024): February
Publisher : Lafadz Jaya Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54443/sj.v2i6.250

The purpose of the study is to examine the impact of behavioural biases (herding, mental accounting, and regret averson) on investment decisions. The authors further examine the moderation effect of financial literacy in the relationship between behaviour biases and investment decisions. The study considered a cross-sectional research design. For this survey, the data have been collected through a structured questionnaire from 215 government officials of BPK RI. To analyse the validity and reliability, the Pearson correlation and Cronbach’s alpha test have been taken into account respectively. For testing the hypothesis, hierarchical regression analysis has been used in the study. The results of the study reveal that research results also show that bias herding, mental accounting, and regrets on investment decisions have a positive and significant influence. Meanwhile, financial literacy on investment decisions has a negative and significant influence. Furthermore, herding bias is moderated by financial literacy on investment decisions and has a positive and significant influence. Meanwhile, mental accounting bias and regret aversion are moderated by financial literacy on investment decisions and have a negative and significant influence. Based on this present research finding, the study is more productive for the government officials and policymakers at the time of making an investment portfolio for the government officials based on their behavioural biases. The study recommends that investors need training programmes, workshops and seminars that enhance financial literacy and financial knowledge of government officials which helps them to overcome behavioural biases while making an investment decision. The current study aims to explore whether several behavioural biases can affect investment decisions. Moreover, the authors would like to examine whether these associations are moderated by financial literacy. In this sense, financial literacy might also play a substantial part in the prediction of investments. The current study might be of the first study that examines the moderation effect financial literacy amongst male and female investors.

Concept Model Research of Financial Psychology to SME Business Sustainability Oktariswan, Dony; Manurung, Adler Haymans; Ulupui, I Gusti Ketut Agung; Buchdadi, Agung Dharmawan
Interdisciplinary Social Studies Vol. 1 No. 8 (2022): Special Issue
Publisher : International Journal Labs

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55324/iss.v1i8.191

The study of Financial Psychology to SME Business Sustainability is one of the most efficient methods to improve Financial Psychology in doing business. The purpose of this study is to review and analyze the development of article publications with the evolution of research on Financial Psychology to SME Business Sustainability published from 2019-2021. Article analysis and search involves only themes with titles, abstracts, and keywords related to Financial Psychology and SME Business Sustainability from 2019-2021. Searches through the Scpous database are performed using TITLEABS-KEY. Article selection is adjusted by eliminating duplicates in the list of article type documents sourced from journals taken from the database using Harzing's Publish or Perish (PoP) and VOSviewer software. Based on the results of the analysis obtained research concept models in Financial Psychology formed from Financial Planning (Social factors and Economic factors), Behavior Finance (Psychological & Emotional and Factors Situational stimuli), Financial Literacy (Financial Knowledge and Household finance), Financial Inclusion (Government policy & regulation and Bank Stability). While Implementation Accounting from application, and SME Business Sustainability formed from SME Sustainability Performance. The subject area on the concept of the model was obtained from the disciplines of Economic, Econometrics and finance as many as 34 (42.5%) and Business, Management & Accounting amounted to 33 (41.25%).

The Influence of Financial Performance on Company Value with Good Corporate Governance and Corporate Social Responsibility as A Moderation Variable on Manufacturing Listed on The Indonesia Stock Exchange for The Period 2019-2023 Naramarito Pardede, Wasti; Dharmawan Buchdadi, Agung; Gurendrawati, Etty
International Journal of Economics, Management and Accounting (IJEMA) Vol. 1 No. 12 (2024): May
Publisher : Lafadz Jaya Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47353/ijema.v1i12.133

The purpose of this research is to examine the effect of financial performance on firm value, to test the effect of Good Corporate Governance on firm value, to determine whether Good Corporate Governance can moderate the relationship between financial performance and firm value, to investigate the effect of Corporate Social Responsibility on firm value, and to determine whether Corporate Social Responsibility can moderate the relationship between financial performance and firm value. Financial performance is proxied by ROA and ROE. Firm value is proxied using Tobin's Q. Good Corporate Governance is measured by the proportion of independent commissioners, managerial ownership, and institutional ownership. Meanwhile, Corporate Social Responsibility is measured using the Corporate Social Responsibility Disclosure Index based on the indicators in the GRI G4 Sustainability Reporting Guidelines. The subjects of this study are all manufacturing companies listed on the Indonesia Stock Exchange for the period 2019-2023. The total sample of the study is 39 companies. The results of this study indicate that financial performance significantly affects firm value with a negative regression coefficient (-0.348) and a high t-statistic (-7.547, p < 0.05). Good Corporate Governance (GCG) also significantly influences the relationship between financial performance and firm value, as indicated by a positive regression coefficient (4.297) and a significant t-statistic (3.561, p < 0.05). Corporate Social Responsibility (CSR) also significantly affects the relationship between financial performance and firm value, with a positive regression coefficient (1.470) and a high t-statistic (6.280, p < 0.05).

The Influence of Environmental, Social and Governance and the Risk of Financial Information Disclosure on Investment Efficiency in Environmentally Sensitive Industrial Companies in ASEAN 5 Period 2018-2022 Irianingsih, Eka; Nazir Ahmad, Gatot; Dharmawan Buchdadi, Agung
International Journal of Economics, Management and Accounting (IJEMA) Vol. 1 No. 12 (2024): May
Publisher : Lafadz Jaya Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47353/ijema.v1i12.134

The aim of this research is to examine the effect of Environmental, Social, and Governance (ESG) disclosure and Financial Information Disclosure on Investment Efficiency where the variables used in this research are the dependent variable (Investment Efficiency), the independent variable (ESG and Risk of Financial Information Disclosure) and control variables (Tangible, Leverage, Company Performance). The population in this study are environmentally sensitive industrial companies in ASEAN 5 which have active status and are listed on the Indonesia Stock Exchange (IDX), Singapore Stock Exchange (SGX), Malaysia Stock Exchange (MYX), Philippine Stock Exchange (PSE), and Stock Exchange Thailand (SET) for the period 2018 – 2022. Sampling was carried out by purposive sampling. Based on purposive sampling in sample selection, 250 research samples were obtained for five consecutive years. The findings of this research indicate that Environmental, Social, and Governance (ESG) has no effect on investment efficiency. Meanwhile, the Risk of Financial Information Disclosure has a positive and significant effect on investment efficiency.

Segmenting Walmart Customers for Personalized Marketing Strategies Using MiniBatchKMeans Clustering and Decision Trees: An Analysis of Purchasing Behavior Buchdadi, Agung Dharmawan
Journal of Digital Market and Digital Currency Vol. 1 No. 3 (2024): Regular Issue December
Publisher : Bright Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47738/jdmdc.v1i3.18

This study explores the application of MiniBatchKMeans clustering and decision tree analysis to segment Walmart customers for personalized marketing strategies. Using a dataset of 550,068 customer transactions, including variables such as User_ID, Product_ID, Gender, Age, Occupation, City_Category, Stay_In_Current_City_Years, Marital_Status, Product_Category, and Purchase, we identified five distinct customer segments. These segments were characterized by unique demographic and purchasing behaviors. Segment 1 included older customers (mean age: 55+) with high and consistent spending, primarily on premium products. Segment 2 comprised middle-aged customers (mean age: 36-45) with moderate to high spending levels, favoring household and family-related products. Segment 3 consisted of young adults (mean age: 18-25) with variable purchasing patterns, focusing on low to mid-range priced items. Segment 4 included young families (mean age: 26-35) with significant spending on a variety of products, and Segment 5 featured middle-aged to older customers (mean age: 46-55) with steady but moderate spending habits. The MiniBatchKMeans clustering algorithm effectively handled the large dataset, identifying clear customer segments. Decision tree analysis provided insights into the key features driving each segment, with Purchase amount, Age, and Occupation being the most significant. The decision tree model achieved an accuracy of 100%, with precision, recall, and f1-scores of 1.00 for all segments, indicating robust classification. These findings have significant implications for personalized marketing strategies. For instance, premium product promotions can be directed at high-spending older customers, while family-oriented discounts and bundles can be tailored for young families. Digital marketing efforts can be optimized to engage younger segments through social media and personalized recommendations. This study highlights the importance of data-driven decision-making in retail, emphasizing the need for continuous data collection and analysis to stay competitive. Future research should incorporate datasets from different retail contexts and explore alternative clustering techniques and additional features to provide a more holistic view of customer segmentation.

Anomaly Detection in Open Metaverse Blockchain Transactions Using Isolation Forest and Autoencoder Neural Networks Buchdadi, Agung Dharmawan; Al-Rawahna, Ammar Salamh Mujali
International Journal Research on Metaverse Vol. 2 No. 1 (2025): Regular Issue March
Publisher : Bright Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47738/ijrm.v2i1.20

The study explores anomaly detection in blockchain transactions within the Open Metaverse, utilizing Isolation Forest and Autoencoder Neural Networks. With the rise of the Metaverse, blockchain technology has become essential for secure digital transactions. However, the decentralized nature of blockchain makes it vulnerable to various anomalies, potentially undermining trust and security in digital spaces. Isolation Forest, an unsupervised machine learning algorithm, isolates anomalies based on the assumption that anomalies are few and distinct from regular data points. Its effectiveness in handling high-dimensional data makes it suitable for real-time applications. On the other hand, Autoencoders, a type of neural network, excel in detecting anomalies through reconstruction error, identifying data points that deviate from normal patterns. The research applied these models to a simulated dataset from the Open Metaverse, including features like transaction amount, login frequency, and session duration, to capture nuanced user behaviors. Preprocessing steps, such as one-hot encoding for categorical features and standardization for numerical features, ensured data consistency for accurate modeling. The Isolation Forest achieved a precision of 0.85, while the Autoencoder slightly outperformed it with a precision of 0.87. Both models demonstrated strong AUC-ROC values, with the Autoencoder scoring 0.85 compared to Isolation Forest’s 0.82, indicating robust performance in distinguishing normal from anomalous transactions. The findings underscore the potential of both models to enhance security in blockchain-based virtual environments, with the Autoencoder showing an edge in handling complex data patterns. However, the use of simulated data presents limitations, suggesting the need for further testing with real-world Metaverse transaction data. Future research could explore integrating other advanced algorithms, such as Graph Neural Networks, to improve anomaly detection in blockchain systems.

Co-Authors A. W. S Waspodo, Agung Aditya , Shandy Adler Haymans Manurung Afwan Efendi Al-Rawahna, Ammar Salamh Mujali Albasita Syafna Al'azhary Alessandro Simanihuruk Althafiansyah Rosyidin, Gamma Amalia Amelia Sholeha Anak Agung Alvian Prasetya Putera Andre, Muthia Nabila Andry Priharta Anismadiyah, Vega Atik Widayati Atmadja, Kris Fachuriyanti Ayu Annisa Rahmawati Az-Zahra, Ridya Bima Erlangga Budi Santoso Christian Wiradendi Wolor Danapati, Muhammad Ridho Dara Roswanti Pratami Della Nur Rahmawati, Widya Destria Kurnianti Dewi Gathmyr Dewi Gathmyr Dewi Susita Dicky Iranto Dwi Cahyani Efendi, Afwan Eric Hermawan Erlangga, Bima Erlangga Etty Gurendrawati, Etty Eva Herianti Fadlun A Hamid Fajri Akbar Fath Arif Mukti Sukaeri Fatimah Az-Zahro Febriana, Hadijah Fitriana Puji Astuti Frisca, Dhea Gabriela Melina Widiasih Gatot Nazir Ahmad Hadistira, Valdi Hamid, Fadlun A HAMIDAH Hamidah . Hamidah Hamidah Hamidah, Hamidah Hapzi Ali Harisman Hendri Sucipto I Gusti Ketut Agung Ulupui Ifatuhoriah Yusuf Ika Nur Setiowati Imam Syafii Imelda Sari Indriyanti, Isti Irianingsih, Eka Jerry Jerry Khairun Nisa Krissanya , Nofriska Kus Aprila Manto, Widia M. Edo Suryawan Siregar Mahfirah, Titis Fatarina Margie, Lyandra Aisyah Mitha Icha Yanti Tambun Mitsalina Tantri MONICA DEWI Monica Dewi Muhammad Edo Suryawan Siregar Muhammad Fawaiq Muhammad Fawaiq Muhammad Fawaiq, Muhammad Muhammad Yusuf Muhammad Yusuf Musyaffi, Ayatulloh Michael Nabilla Ramadhani Nabillah Hasna Naily , Mayang Fauny Naramarito Pardede, Wasti Nasrowi Danu Nazir Ahmad, Gatot Nithaqaini Yurasti, Inggih Asma Nofriska Krissanya Novana, Sonya Nurul Febriani, Annisa Obing Zaid Sobir Obing Zaid Sobir Oktafianto, Erlangga Oktariswan, Dony Olaf Ingmar Panji Patra Anggaredho, Panji Patra Pebianti, Vina Perdana, Sararya Haikal Prameswari, Rita Prasetya, Budi Agung Prayoga, Andhika Puji Wahono Puji Wahono Puji Yuniarti Purnomo, Santoso Purwana E.S., Dedi Qurrotul Uyun Rahmadhani, Safitri Dwi Rahmawati, Ayu Annisa Ramadhan, Sahlan Afri Ramdani, Adnan Fauzan Ramli Ramli Ratna Tri Hari Safariningsih Ratnawaty Marginingsih Rd. Tuty Sariwulan Ria Kurniawati Rismono Rosa Salsa Bila Ruswiati Suryasaputra Safariningsih, Ratna Tri Hari Saffanah Aini Rahmani Salsabila Putri Ramadhanti Sararya Haikal Perdana Setyawan, Rahmat Dika Shandy Aditya Sibarani, Silvia Paula Artha Silvana Syah Silvana Syah Silvana Syah Siregar, M. Edo Suryawan Siti Hamidah Rustiana Solikha , Solikha Sonny Haryanto Sophie Hestia Putri SS, Muh Fathul Mubaraq Suhayat, Jajang Suherman Suherman Suherman Suherman, Suherman Sukma Andika Rahmayanti Sumardi Sumardi suparno Eko Widodo suparno Eko Widodo, suparno Eko Suparno Suparno Suparno Suparno Suprayogi, Wahyu Suryawan Siregar, M. Edo Suwatno Suwatno Syamsul Hidayat SYAMSUL HIDAYAT Tessa Azzahra Tessa Kusuma Dewi Tirta Raharja, Mulya Ulupui, IGKA Umar Aminudin Umi Mardiyati Umi Widyastuti Umi Widyastuti Usep Suhud Usman Mustofa Vidia Ratu Balqis Malzara Vina Pebianti Virnalici, Virnalici Wahono, Puji Wastuti, Wahyu Wicaksono, Tasya Dwi Widya Parimita, Widya Willy Cahya Sundara Yusuf, Ifatuhoriah Zakaria, Adam

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