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ANALYSIS OF EFFECT OF PROBABILITY AND FIRM SIZE ON INTRINSIC VALUE WITH FINANCIAL DISTRESS AS AN INTERVENING VARIABLE IN OIL AND GAS COMPANIES ON THE INDONESIAN STOCK EXCHANGE Naibaho, Jahoras Victor; Khaira Amalia Fachrudin; Iskandar Muda
Journal of Innovation Research and Knowledge Vol. 3 No. 10: Maret 2024
Publisher : Bajang Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53625/jirk.v3i10.7557

Abstract

The aim of this research is to determine and analyze effect of probability and firm size on intrinsic value with financial distress as an intervening variable in Oil and Gas Companies on the Indonesian Stock Exchange. This research uses a quantitative type of research that is causal. Population in this study are 33 companies operating in Oil and Gas Sector which are listed on the Indonesia Stock Exchange which regularly report their financial reports to the Indonesia Stock Exchange from 2019 to 2021. Samples used in the research were 27 Oil and Gas Sector Companies on the Indonesian Stock Exchange. This research uses path analysis in structural equation modeling. The research results show that profitability has a positive and insignificant effect on intrinsic value in Oil and Gas Companies on the Indonesian Stock Exchange. Firm size has a positive and significant effect on intrinsic value in Oil and Gas Companies on the Indonesian Stock Exchange. Profitability has a negative and significant effect on financial distress in Oil and Gas Companies on the Indonesian Stock Exchange. Firm size has a positive and significant effect on financial distress in Oil and Gas Companies on the Indonesian Stock Exchange. Financial distress has a positive and insignificant effect on intrinsic value in Oil and Gas Companies on the Indonesian Stock Exchange. Profitability does not has an indirect effect on intrinsic value through financial distress in Oil and Gas Companies on the Indonesian Stock Exchange. Firm Size has an indirect effect on intrinsic value through financial distress in Oil and Gas Companies on the Indonesian Stock Exchange.
PROFIT PREDICTION USING MULTIPLE LINEAR REGRESSION METHODS PYTHON PROGRAMMING LANGUAGE AT PT TRI ERDNOV REZEKI Tri Pamungkas, Ferdy; Isfenti Sadalia; Iskandar Muda
International Journal of Economic, Business, Accounting, Agriculture Management and Sharia Administration (IJEBAS) Vol. 3 No. 5 (2023): October
Publisher : CV. Radja Publika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54443/ijebas.v3i5.1076

Abstract

PT. Tri Erdnov Rezeki is a national private company founded in 2016 and fully under the leadership and ownership of Indonesian entrepreneurs. PT. Tri Erdnov Rezeki is also engaged in Construction Development Planning and Repair and Maintenance of Steam Aircraft and Pressure Vessels, Supply of Technical Equipment, Industrial Work Equipment, Electrical Equipment, and Machinery, especially in the Palm Oil Plantation and Power Plant Sectors. In carrying out a project, the company does not only carry out technical design but also must carry out the economic design so that the company can determine the economic feasibility of a project. However, companies often experience cost calculation errors. Data science can be utilized to predict the value achieved in a period using previous data. Data science will analyze patterns related to data with other data to produce a reference or a formula that can be used as a value prediction in the future. So, the author will use the multiple linear regression method using the Python programming language, which functions to perform statistical analysis, namely predicting profits in a project. The analysis results in this study show that the profit variable is influenced by 99.7% by the variables material cost, labor cost, and utility cost. In comparison, other variables outside the study influence the other 0.3%. The material cost variable has the most significant influence, where the value is below 0 .05 compared to the variable labor cost and utility cost to the profit variable. The average percentage of Python prediction errors is 0.97%, where the average percentage of Python prediction errors is smaller than the average percentage of SPSS prediction errors which is 2.04%.
THE EFFECT OF DISCLOSURE OF CORPORATE SOCIAL RESPONSIBILITY, GOOD CORPORATE GOVERNANCE, CAPITAL STRUCTURE ON COMPANY VALUE WITH PROFITABILITY AS AN INTERVENING VARIABLE IN BANKING COMPANIES LISTED ON THE INDONESIAN STOCK EXCHANGE Raja Palti Tambunan; Iskandar Muda; Endang Sulistya Rini
International Journal of Economic, Business, Accounting, Agriculture Management and Sharia Administration (IJEBAS) Vol. 4 No. 3 (2024): June
Publisher : CV. Radja Publika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54443/ijebas.v4i3.1722

Abstract

This research is based on the need for the importance of company value which can affect investor perceptions and the share price of banking companies listed on the IDX. This study aims to examine the effect of disclosure of Corporate Social Responsibility, Good Corporate Governance, Capital Structure on Firm Value with Profitability as an Intervening Variable in banking companies listed on the IDX. The population in this study was 47 companies, using purposive sampling method in sampling, the number of samples was 29 banking companies listed on the Indonesia Stock Exchange in 2022 with an observation period of 5 years (2018 to 2022) so that the total data was 145 observations, and collected data through literature and documentation. With the use of a Quantitative descriptive approach, namely providing an overview or description of the data and hypothesis testing is done with Panel Data Regression Analysis using the Eviews Application. It is hoped that the results of this study can show the effect of disclosure of Corporate Social Responsibility, Good Corporate Governance, Capital Structure on Firm Value with Profitability as an Intervening Variable in banking companies listed on the IDX. Testing the first hypothesis states that CSR disclosure has no effect on firm value. Testing the second hypothesis states that GCG has no effect on firm value. Testing the third hypothesis states that capital structure has no effect on firm value. Testing the fourth hypothesis states that profitability has a positive and significant effect on firm value. Testing the fifth hypothesis states that CSR disclosure has a positive and significant effect on profitability. The sixth hypothesis testing states that GCG has no effect on profitability. The seventh hypothesis testing states that capital structure has a positive and significant effect on profitability. The eighth hypothesis testing states that CSR disclosure has a positive and significant effect on firm value through profitability. Testing the ninth hypothesis states that GCG has no effect on firm value through profitability. Testing the tenth hypothesis states that capital structure has a positive and significant effect on firm value through profitability.
IMPACT ANALYSIS BEFORE AND AFTER THE COVID-19 PANDEMIC: THE INFLUENCE OF PROFITABILITY, LIQUIDITY AND SOLVENCY ON COMPANY VALUE IN ISLAMIC JAKARTA INDEX 70 PERIOD 2018-2023 Roy Satria O. Sunggu; Iskandar Muda; Sirojuzilam
International Journal of Economic, Business, Accounting, Agriculture Management and Sharia Administration (IJEBAS) Vol. 4 No. 3 (2024): June
Publisher : CV. Radja Publika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54443/ijebas.v4i3.1734

Abstract

This research aims to determine and analyze the influence of profitability, liquidity and solvency on company value in the Jakarta Islamic Index 70 for the 2018-2023 period. Apart from that, this research also aims to find out whether there are significant differences in profitability, liquidity, solvency and company value in the period before and after the Covid-19 Pandemic. This research is quantitative causality research, namely research that aims to determine causal relationships. The population in this research are companies that are members of the Jakarta Islamic Index 70 (JII70) for the 2018-2023 period. Based on the purposive sampling technique, it can be seen that the number of samples used in this research was 25 companies. The data analysis method in this research was carried out using Panel Data Regression Analysis and Paired t-Test (Difference Test) with the help of STATA software. The results obtained in this research indicate that profitability and solvency have a positive and significant influence on company value. Meanwhile, liquidity has a negative and significant influence on company value in companies that are members of the Jakarta Islamic Index 70 (JII70) for the 2018-2023 period. Other results in this research show that there are no significant differences in profitability, liquidity and solvency in the period before and after the Covid-19 pandemic in companies that are members of the Jakarta Islamic Index 70 (JII70).
ANALYSIS OF THE EFFECT OF UNDERSTANDING, SOCIALIZATION, SERVICE QUALITY, AND MODERNIZATION OF ADMINISTRATIVE SYSTEM ON TAXPAYER COMPLIANCE WITH AWARENESS AS AN INTERVENING AT KPP PRATAMA MEDAN POLONIA Prasetya Putra Bangsa; Iskandar Muda; Khaira Amalia Fachrudin
International Journal of Economic, Business, Accounting, Agriculture Management and Sharia Administration (IJEBAS) Vol. 4 No. 5 (2024): October
Publisher : CV. Radja Publika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54443/ijebas.v4i5.2042

Abstract

This study aims to determine and analyze the influence of Understanding, Socialization, Quality of Tax Service, and Modernization of the Administrative System on Taxpayer Compliance with Awareness as Intervening at KPP Pratama Medan Polonia. The sample in this study was 100 individual taxpayers registered at KPP Pratama Medan Polonia. The data analysis technique used was Inferential statistical analysis - Partial Least Square (PLS). The results of this study indicate that understanding socialization has a significant effect on awareness. At the same time, the quality of tax service and modernization of the administrative system do not significantly affect awareness. Understanding does not significantly affect taxpayer compliance, while socialization, quality of tax service, administrative system modernization, and awareness significantly affect taxpayer compliance. Indirectly, taxpayer awareness can mediate socialization on taxpayer compliance, and indirect awareness cannot mediate understanding, quality of tax service, and modernization of the administrative system on taxpayer compliance.
EARNED VALUE ANALYSIS METHOD AS A COST AND TIME PERFORMANCE ANALYSIS (Case Study LAU SIMEME DAM Construction Project KSO Between PT. Wijaya Karya Persero.Tbk and PT. Bumi Karsa) Denny Irawan; Isfenti Sadalia; Iskandar Muda
International Journal of Educational Review, Law And Social Sciences (IJERLAS) Vol. 3 No. 2 (2023): March
Publisher : RADJA PUBLIKA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54443/ijerlas.v3i2.769

Abstract

Project construction is a series of activities that must be completed in accordance with a project contract and also at a pre-agreed cost. The important point for project completion is the accuracy in accordance with the estimate, the use of costs according to the budget while maintaining quality. However, project implementation often encountered obstacles so that the completion time stalled. The impact of late completion of this project is not only in terms of time, but has an impact on the use of costs which ultimately erodes the profit margin of a project. This is what is being faced in the Lau Simeme Dam Development Project which is an Operational Cooperation (KSO) between PT Wijaya Karya (Persero) and PT Bumi Karsa. This project costs Rp. 733 billion which began on December 22, 2017 and is estimated to be completed on April 7, 2022. The research data was taken as of December 2020, where according to the plan the project should have been completed 52.90%, but in fact it was only 13.92% completed. Based on this phenomenon, researchers conducted a research in order to solve the problem of delays and budget waste using the Earned Value Analysis approach. The results showed that there was a delay in project construction resulting in a setback in project completion with an estimated addition ( Estimated Completion Date) of 1,294 days. Due to the delay in project completion, there was an additional cost of 1.760 billion or in other words, the project cost was Rp. 665 billion while the RAB is only 663 billion. This cut the previously planned margin of 70.051 billion to 68.290 billion. In order to overcome delays in project completion, it can be done by holding work shifts,
TECHNOLOGY 4.0 ERA INVESTMENT DECISIONS FOR MILENIALS AND GENERATION Z Thezar Fiqih Hidayat Hasibuan; Vanisa Meifari; Iskandar Muda; Sambas Ade Kesuma
International Journal of Educational Review, Law And Social Sciences (IJERLAS) Vol. 3 No. 4 (2023): July
Publisher : RADJA PUBLIKA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54443/ijerlas.v3i4.976

Abstract

Almost nearly 60% of all investors in Indonesia's capital market are members of Generation Z, or millennials, who are under 30 years old. The development of Era 4.0 technology has made it easier to obtain information and current trends. As a consequence, the aim of this study is to examine in detail how to make investment decisions in the technology era of 4.0. According to the study, the research method used is qualitative research with the Grounded Theory Approach, which utilizes a number of methodical phases to develop theory, including Approach Stages, Theoretical Sampling, Constant Comparative Data Analysis Approach, A Core Category, Theory Generation, and Memo. According to the findings of a review of 21 literatures, there are three key steps that should be taken to increase financial behavior: (1) increasing financial literacy, which involves learning financial terms and ideally integrating them into institutions or promoting them through training; (2) understanding and knowing the company's portfolio; and (3) increasing financial behavior, which involves increasing experience in investing so that it is more instinctive.
THE INFLUENCE OF DIGITAL LITERACY AND SELF-EFFICACY ON DIGITAL ENTREPRENEURSHIP INTENTION WITH GROWTH MINDSET AS A MODERATOR. Henny Purnama Dewi; Ayu Teresia Hutauruk; Iskandar Muda
International Journal of Economic, Business, Accounting, Agriculture Management and Sharia Administration (IJEBAS) Vol. 5 No. 6 (2025): December
Publisher : CV. Radja Publika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54443/ijebas.v5i6.4453

Abstract

The rapid development of digital technology opens up significant opportunities for young people to innovate through digital entrepreneurship. However, unequal digital literacy skills and varying levels of self-efficacy among university students pose challenges in maximizing this potential. This study aims to explore the influence of digital literacy and self-efficacy on digital entrepreneurial intentions, with growth mindset as a moderating variable. Data were collected from 215 university students in Medan and analyzed using Structural Equation Modeling (SEM). The results show that growth mindset has a direct positive effect on digital entrepreneurial intentions and moderates the influence of digital literacy and self-efficacy on these intentions. Digital literacy does not show a significant direct effect, while self-efficacy has a negative effect on digital entrepreneurial intentions. These findings emphasize the importance of developing a growth mindset to strengthen students' ability to utilize digital technology and build confidence in facing the challenges of digital entrepreneurship. The practical implications of this study point to the need to integrate growth mindset development into digital literacy programs and entrepreneurship training in higher education.
Digital Audit: Technological Innovation and Its Impact on Audit Quality Stephanie Olivia br. Sihaloho; Cicilya Evangelista Yunani Purba; Iskandar Muda
PESHUM : Jurnal Pendidikan, Sosial dan Humaniora Vol. 5 No. 1: Desember 2025
Publisher : CV. Ulil Albab Corp

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56799/peshum.v5i1.12354

Abstract

In essence, human beings are social creatures who continuously develop over time, producing various innovations that emerge from creative ideas. Within this scope, we analyze the adoption of digital audit technologies using the Innovation Diffusion Theory, identifying key factors that influence their acceptance and integration into audit quality. This effort aims to optimize the problem-solving process as a sustainable solution for increasing organizational performance and accountability. This study employs a Systematic Literature Review (SLR) to investigate the theme and confirm validity and reliability of the findings. The importance of auditors in justify professional competencies, adopting technological capabilities, and engaging in continuous development to remain relevant in a digital environment. This manuscript explains the progression of advanced technologies and their critical role in reshaping modern auditing practices. The study’s results reveal how the perceived attributes of innovation namely relative advantage, compatibility, trialability, complexity, and observability contribute to variations in audit quality and organizational trust. Further investigations are recommended to explore the ethical dimensions associated with automation in auditing, particularly in areas such as transparency, accountability, and independence. This study explores a highly relevant issue by analyzing how auditing practices are evolving in the context of digital transformation. Digital audit represents a new way of conducting assurance engagements using advanced technologies like AI, data analytics, and blockchain. Unlike traditional audits, it allows faster, automated, and data-driven processes. This focus recognizes the quickly changing business environment and the increasing significance of technological innovation in contemporary audit procedures.
A Systematic Literature Review on the Integration of Blockchain and Artificial Intelligence for Fraud Detection in Auditing Ebigel Damesui Tampubolon; Joy Renta Oktavia Hutauruk; Iskandar Muda
PESHUM : Jurnal Pendidikan, Sosial dan Humaniora Vol. 5 No. 1: Desember 2025
Publisher : CV. Ulil Albab Corp

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56799/peshum.v5i1.12376

Abstract

The deliberate integration of advanced technologies has significantly transformed modern organizations, particularly in fraud detection and audit enhancement. This systematic review examines 30 scholarly articles published between 2020 and 2025, focusing on the integration of blockchain distributed ledger technology and artificial intelligence (AI) in audit frameworks. The findings reveal that blockchain ensures immutable audit records and data authenticity, while AI enables rapid anomaly detection and complex pattern recognition. When combined, these technologies greatly improve corporate governance, reduce fraud detection time from weeks to real-time, and increase detection accuracy by up to 95%. Using the UTAUT framework, the study identifies key factors influencing the adoption of blockchain-AI systems, including performance expectations, implementation effort, social influence, and organizational infrastructure. Organizations adopting these integrated solutions experience enhanced audit productivity, improved fraud detection precision, and increased stakeholder trust. However, significant challenges remain, such as complex implementation processes, high financial costs, regulatory uncertainties, and the necessity for organizational change management. Overall, this research provides a comprehensive framework for understanding how emerging technologies are revolutionizing fraud detection in auditing. It offers valuable insights and practical guidance for auditors, corporate leaders, and policymakers on effectively implementing blockchain-AI integrated systems. By addressing deployment challenges and leveraging their combined strengths, organizations can significantly strengthen fraud prevention strategies and elevate audit quality, marking a transformative step toward more transparent, accurate, and efficient auditing practices.
Co-Authors , Rahima Br Purba , Yunita Sari Rioni Abd Latip Abdillah Arif Nasution Abdillah Iskandar Abdiyanto Abdiyanto Abdul Aziz Ade Elsa Betavia Ade Khadijatul Z. Hrp Adelya Soffy Sembiring Adina S Sembiring Ady Putra Sinambela Afifah Adillah Agung Wahyudhi Atmanegara Agus Agus Agus Christian Hutagalung Ahmad Kodri Fauzi Hasibuan Ahmad Qorib Ahmad Sanusi Alexander L. Elyakov Alexander N. Semin Alexandro Munthe Alika Zahra Putri Chandra Alvira Rizky Azzakia Alvira Rizky Azzakia Alya Rizah Malihah Amlys Syahputra Silalahi Andre Pranata S. Depari Andri Soemitra Andri Soemitra Andri Soemitra Andri Zainal Andrini Akbar Andy Mulia Angelina O. Zekiy Anggi Pratama Aninditya Amanda Anita Tarihoran Annisa Rizki Pratiwi Anriza Witi Nasution Ari Irawan Arifin Wahyudi Hasibuan Arifuddin Maulana Arini Arini Arlyta Gracia Budiman Asia Dwi Putri Damanik Asmaul Husna Atika Amalia Sholikhah Aynil Ajijar Hamdani ayu kurnia sari Ayu Teresia Hutauruk Azhar Maksum Azizul Kholis Azizul Kholis Azwar Manaf Azzahra Lidya Almira azzahra, an suci Bahtiar Bahtiar Bajongga Juan Nadi Togatorop Barus, Okky Putra Bonifasius H. Tambunan, Bonifasius H. Budi Anshari Nasution Calista Chandra Cherin Mahulae Chilwin Chilwin Chilwin Christian Halomoan Hasibuan Christie Karla Cicilya Evangelista Yunani Purba daffa ulhaq Denny Irawan Deri Sembiring Dessy Lora Dearni Damanik Dhian Rosalina Diah Utami Kusuma Wardani Dilinar Adlin Dito Aditia Darma Nasution Dwi Faradiba Siregar Dwi Saraswati Ebigel Damesui Tampubolon Eka Purnama Sari Eliyah Acantha Manapa Sampetoding Endang Sulistya Rini Endi Zunaedy Enrich Van Bosar Sitorus Ericson Chandra Erlina ERLINA Erlina Erlina Erlina Erlina Erlina Erlina Erna Fitriyawati Esa Setiana Evgeniy V. Kostyrin Fachrul A Siregar Fadlan Alkindi Fadlan Alkindi Fahmi Natigor Nasution Faisal Fanny Metungku Fathiyah Salsabila Azzahrah Fenny Julistine Tarigan Fiona Ika Dewanty Firman Syarif Firman Syarif Firman Syarif Firman Syarif Firman Syarif Firmansyah Gabriela CM Sormin Gamal Ali Akbar Hasibuan Geby Citra Ananda Gilberta Naibaho Gilberta Naibaho Grace Fiftyrina Sibarani Habib Rizieq Hade Chandra Batubara Haervi Yunira Halomoan Sihombing Hardea Putriani Fadhila Haryono Umar Hastati, Sri Hazri Wahyuni Ht. Suhut Hendra Saputra Hendry Glenn Yose Sinambela Henny Purnama Dewi Heri Enjang Syahputra Ibnu Affan Ignacia Cecilia Rumapea Indah Rodhiyah Inggrid Lidya Panjaitan Irananda Sihombing Irawan Irawan Irwan Santosa Irwansyah Irwansyah Isfenti Sadalia Isfenti Sadalia Jailani Syahputra Siregar Januar Samuelson Gea Jhon Boris Clinton Saragih Joana Lindawati Saragih Joy Renta Oktavia Hutauruk Jumadil Saputra Junawan Junawan Kayyisa Fahani Keulana Erwin Keulana Erwin Khaira Amalia Fachrudin Khumaidi Klara Srikandi Laia Klara Srikandi Laia Ku Halim Bin Ku Ariffin Laura Wahdatul Lihar Marandra Lisbetria Simamora Lydia Yuntika Lydia Yuntika M. Elfi Azhar M. Irsan Nasution Mamfalutin Mamfalutin Mamonto, Iip Purwantini Jeane Maqdisa Putri Rafie Marina I. Ivleva Marina V. Vasiljeva Marnangkok Butarbutar Martatini Sumiati Lawolo Martozet Martozet Meiko Andreas Melly Sabila Meutia Dewi Miroharjo, Didik Muflihul Fadhil Muhammad Arfan Harahap Muhammad Haykal Muhammad Idam Alfaroji Muhammad Rifky Santoso Muhammad Salman Muhammad Salman Muhyarsyah, Muhyarsyah Munjayanah Dwi Harviah Nabilla Dwi Agintha Nadezhda N. Semenova Nadila Sawaliya Nadjib Nadjib Naibaho, Jahoras Victor Nanda Chairunnisa Naomi Tarigan Nara Pelita Sari Kaban Narumondang Bulan Siregar Natalia V. Ruban-Lazareva Natasya Octaverina Nelly Reinalda Sidabutar Nico Gilbert Nathaniel Siagian Nikolay V. Kuznetsov Noor Marini Haji Abdullah Noviani Nurhaflah Soraya Nurhayati Nurhayati Nurmala Nurwani - Oddy Sinaga Ovami, Debbi Chyntia Pangaribuan, Jefri Junifer Prasetya Putra Bangsa Pratiwi Sidauruk Purnaya Sari Tarigan Putra, Yunanda Eka Putri Tunggal Dewi Putri Tunggal Dewi Putri Utami Rahma Sari Harahap Rahmadansyah Saragih Rahmat Rahmat Azahar Siregar Rahmat Daim Harahap Raihan Syahaqi Panjaitan Raja Palti Tambunan Rajwa Khairi Randa Adha Permana Rani Febri Yani Raya Puspita Sari Hasibuan Reni Ria Armayani Renika Hasibuan Restauli Simarmata Richard Richard Ricky Ricky Ricky Rina Br. Bukit Rina Bukit Rina Bukit Rindi Andika Risanty Rissa Nadiah Afifah Sembiring Riva Ubar Harahap Rizma Nazriah Hasibuan Rizma Nazriah Hasibuan Rona Lamretta Sinurat Roy Satria O. Sunggu Rujiman Sabrina Jovanka Sabrina Jovanka Safira Putri Adity Saidan Sany Lubis Salma Nailatu Sifa Siregar Salman Farisi Sambas Ade Kesuma Sambas Ade Kesuma Sambas Ade Kesuma Sambas Ade Kesuma Sambas Ade Kesuma Sambas Ade Kesuma Sambas Ade Kesuma Sambas Ade Kesuma Sambas Ade Kusuma Sambas Ade Kusuma Sambas Ade Kesuma Santi Arafah Saparuddin Siregar Saragih, Fitriani Sari Mega Florensia Simanungkalit Sayidina Aditya Prayogi Septi Lumbantobing Septi Lumbantobing Shara Ketty Moretta Shendy Dennison Shendy Dennison Shira Almira Rahman Siddiqiyah, Arofatus Sirojuzilam Sirojuzilam Hasyim Siti Kadariah Situmeang, Chandra Soulthan Saladin Batubara Sovia Irawaty Sihombing Stephanie Olivia br. Sihaloho Sugianto Sugianto Sugianto Sugianto Sugianto Sugianto Sugianto Susan Cornelya Hermina Syafrizal Helmi Syahrun, Syahrun Syakira Faira Hutasuhut Syifa Soleha Syuhada Fela Yudha Tasya Afriani Tedi Hermansyah Tengku Eka Susilawaty Tengku Ezy Andika Tesalonika Putri Bagus Novitaloka Thezar Fiqih Hidayat Hasibuan Timbul M. Panjaitan Tito Ali Hanif Tri Pamungkas, Ferdy Tulim, Anto Tuti Rahayu Umi Rahayu Uyuni Widiastuti Vadim V. Ponkratov Vanisa Meifari Wahyuni Maisarah Pane Wilda Anabia Prasasti Yesika Situmorang Yola Yolanda Yolanda Noviasari Maramis Yoserizal Yudhistira A. Pratama Yuli Anra Damanik Yuniati Yusrizal Yusrizal Yusrizal Zanetha Zuhandi Zul Azmi Zulia Hanum Zulkarnain Zulkarnain Zulkarnain