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All Journal Jurnal Teknik Industri : Jurnal Hasil Penelitian dan Karya Ilmiah dalam Bidang Teknik Industri Jurnal Pengabdian Masyarakat AbdiMas Technomedia Journal Aptisi Transactions on Management ADI Journal on Recent Innovation (AJRI) ADI Bisnis Digital Interdisiplin (ABDI Jurnal) ADI Pengabdian kepada Masyarakat Jurnal (ADIMAS Jurnal) Startupreneur Business Digital (SABDA Journal) Jurnal MENTARI: Manajemen, Pendidikan dan Teknologi Informasi Ranah Research : Journal of Multidisciplinary Research and Development International Transactions on Education Technology (ITEE) Blockchain Frontier Technology (BFRONT) Journal of Computer Science and Technology Application
Bangun, Cicilia Sriliasta
Esa Unggul University
Religion Humanities Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Public Health Social Sciences Transportation Other

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Reducing Sachet Noodle Defects by Applying the Seven Tools and the FMEA Method Andri Iriyanto; Cicilia Sriliasta Bangun; Arief Suwandi; Roesfiansjah Rasjidin
Ranah Research : Journal of Multidisciplinary Research and Development Vol. 7 No. 1 (2024): Ranah Research : Journal Of Multidisciplinary Research and Development (Novembe
Publisher : Dinasti Research

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38035/rrj.v7i1.1076

Abstract

The ICBP is a company that produces the noodle’s sachet on a large scale for domestic and international markets. The sachet’s defect of the Regular Special Fried Noodle for the Saudi Arabia market from January up to December 2023 is 2.39%, which is above the company's standard limit. The aim of this research is to determine the types of defects, and to find out the factors that caused them and find out the solutions to minimize the number of defects. Analysis using the seven tools identified that the most dominant defect is swallen laminate, with a percentage of 51% of total defects. By using the Failure Mode and Effect Analysis (FMEA) method, the highest RPN value was obtained at 280 for the machine factor. The recommended solution is to clean up the die lip thoroughly to ensure the condition of the die lip remains clean, to recalculate the need for a Preventive Maintenance schedule and calibration of the die lips based on machine age and machine usage working hours, and at the same time provide SOP and scheduled training for employees to make sure they know how to do the job.
Blockchain Governance Models for Enhancing E-Commerce User Satisfaction Bangun, Cicilia Sriliasta Bangun; Riskhandini, Dinda Putri ; Lyraa , Naomi
Blockchain Frontier Technology Vol. 4 No. 2 (2025): Blockchain Frontier Technology
Publisher : IAIC Bangun Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34306/bfront.v4i2.682

Abstract

Blockchain technology has emerged as a transformative innovation in various sectors, including e-commerce. Effective blockchain governance plays a pivotal role in enhancing user satisfaction by ensuring security, transparency, and efficiency in online transactions. However, despite its growing adoption, many e-commerce platforms face challenges in implementing governance models that fully address user expectations and technological complexities, revealing a significant gap in the literature. This study investigates the impact of blockchain governance models on e-commerce user satisfaction, with a specific focus on mediating variables such as data privacy and system trust, and moderating variables such as user technology readiness. The study employs the Structural Equation Modeling (SEM) method using SmartPLS software to analyze relationships between variables. Data was collected through a survey of 135 respondents, consisting of e-commerce users familiar with blockchain technology. The Result reveals that blockchain governance significantly impacts data privacy and system trust, which, in turn, influence perceived ease of use and user satisfaction. Additionally, user technology readiness moderates the relationship between blockchain governance and perceived ease of use, highlighting its importance in adoption. The Novelty of this study lies in its integration of governance frameworks with mediating and moderating variables to holisticallyaddress e-commerce user satisfaction, an area underexplored in prior research. The conclusion emphasizes the need for e-commerce platforms to adopt robust blockchain governance frameworks to improve user satisfaction and gain a competitive advantage. This study contributes to the literature on blockchain applications in e-commerce and provides practical recommendations for enhancing governance and user experience.
Pandopo Catering as a Medium for Student Community Service and Community Empowerment: Pandopo Catering sebagai Media Pengabdian Mahasiswa dan Pemberdayaan Masyarakat Djatmiko, Budi; Marantika, Abshor; Syauqy, Muhamaad Rifat; Pranata, Sudadi; Meria, Lista; Bangun, Cicilia Sriliasta
ADI Pengabdian Kepada Masyarakat Vol. 5 No. 2 (2025): ADI Pengabdian Kepada Masyarakat
Publisher : ADI Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34306/adimas.v5i2.1210

Abstract

This community service project examines the role University of Raharja students in community service, focusing on efforts to foster social awareness and economic independence through the introduction of "Pandopo Catering" to local communities. The importance of community service as a means of social development, particularly in empowering local communities to achieve economic self-reliance. The objective of this research is to explore how the involvement of Raharja University students in community service, through innovative business initiatives such as Pandopo Catering, can promote social awareness and contribute to economic independence in underserved areas. The method used is a qualitative approach involving case studies and interviews with students and community members participating in the community service program. The results show that student participation in this program not only enhances social awareness among students but also helps local communities develop practical skills and entrepreneurial initiatives that can strengthen their economic resilience. Additionally, students gain hands-on experience in applying the knowledge acquired in the classroom. The conclusion of this research emphasizes that the involvement of Raharja University students in community service not only benefits the community but also contributes to the personal development of students, enhancing their sense of social responsibility and entrepreneurial mindset. This research provides insights into the potential of student-led initiatives in promoting sustainable development in local communities.
Predictive Analysis of Startup Ecosystems: Integration of Technology Acceptance Models with Random Forest Techniques Bennet, Daniel; Anjani, Sheila Aulia; Daeli, Ora Pertiwi; Martono, Dedi; Bangun, Cicilia Sriliasta
CORISINTA Vol 1 No 1 (2024): February
Publisher : Pandawan Sejahtera Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33050/corisinta.v1i1.8

Abstract

In the dynamic realm of startup ecosystems, forecasting trends and measuring success pose significant challenges. To tackle this multifaceted issue, a novel research method proposes integrating the Technology Acceptance Model (TAM) with the robust Random Forest algorithm, thereby enhancing predictive accuracy. This innovative approach encompasses various aspects including technical intricacies, financial dynamics, stakeholder interactions, and entrepreneurial challenges. Employing empirical data, such as revenue growth, capital raised, innovation rate, and active users, forms the foundation of this methodology. The model’s efficacy is demonstrated through a process involving training on 80% of the dataset and testing on the remaining 20%, showcasing superior predictive capabilities compared to conventional methods. Comparative analysis with established models like logistic regression further highlights the superiority of the integrated TAM and Random Forest approach, particularly in predicting startup success. These findings offer invaluable insights for entrepreneurs navigating the complexities of the startup landscape, as well as for investors, policymakers, and educators. Understanding and supporting growth dynamics within the startup ecosystem can foster innovation and prosperity. Moreover, in the academic sphere, this research contributes a novel framework for startup prediction, enriching existing knowledge and facilitating informed decision-making. Overall, this research not only provides practical applications for immediate stakeholders but also contributes to advancing the theoretical foundations of startup prognostication, thus serving as a significant milestone in the field. 
The Effect of Transaction Experience Using Digital Wallets on User Satisfaction in Millennial Generation Purnama, Suryari; Bangun, Cicilia Sriliasta; A. Faaroek, Safiani
APTISI Transactions on Management (ATM) Vol 5 No 2 (2021): ATM (APTISI Transactions on Management: July)
Publisher : Pandawan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33050/atm.v5i2.1593

Abstract

The purpose of this study to determine the effect after transaction failure and after failure recovery on the transaction experience, the effect after transaction failure and recovery from transaction failure using digital wallets on user satisfaction, especially in the millennial generation. The population of this study is all digital wallet users in the DKI Jakarta province with a total sample of 94 digital wallet users. The sampling method uses purposive sampling with the criteria of digital wallet users who have made transactions for at least 1 year, this is intended so that these respondents already have transaction experience and are at least 17 years old. Meanwhile, the data processing used Structural Equation Modeling analysis software Lisrel. The results showed: (1) Transaction failure affects the transaction experience of digital wallet users; (2) Transaction failure recovery will affect the transaction experience of digital wallet users; (3) Transaction experience affects the satisfaction of digital wallet users; (4) Transaction failure has no effect on digital wallet user satisfaction; (5) Transaction failure recovery affects the satisfaction of digital wallet users. The novelty of this research is transaction failure has no effect on digital wallet user satisfaction. In addition, the benefits that are felt are far greater than the failures that are experienced, especially when recovery from failure is carried out quickly and precisely.
How Theory of Planned Behavior And Perceived Risk Affect Online Shopping Behavior Bangun, Cicilia Sriliasta; Handra, Tessa
APTISI Transactions on Management (ATM) Vol 5 No 2 (2021): ATM (APTISI Transactions on Management: July)
Publisher : Pandawan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33050/atm.v5i2.1594

Abstract

This study aims to analyze the affect of attitude, subjective norm, perceived behavioral control, and perceived risk on intention to shop online and its impact on online shopping behavior. The exogen variables on this study are attitude, subjective norm, perceived behavioral control, and perceived risk. While the endogen variables are intention to shop online and behavior to shop online. Data collection was carried out by distributing 100 questionnaires to users of e-commerce as respondents. By using SEM PLS, this result of this study showed that from 5 initial hypotheses were developed; only 2 hypotheses did not affect to shop online’s behavior; there were subjective norm to intention to shop online; and perceived risk to purchase intention
Human Resource Competence And Innovation Of Small And Medium Micro Enterprises (UMKM) Tangerang Regency Husin; Bangun, Cicilia Sriliasta; Suhara, Toni
APTISI Transactions on Management (ATM) Vol 6 No 2 (2022): ATM (APTISI Transactions on Management: July)
Publisher : Pandawan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33050/atm.v6i2.1741

Abstract

This research looks at the influence of human resource competence and innovation on small and medium-sized micro-enterprises. The study uses a quantitative approach by testing hypotheses using statistics. Calculations are done based on statistical formulas with the help of the Smart PLS 2.0M3 application. The study uses a survey method, i.e., collects data from specific natural locations, but the researchers implement treatments in data collection by distributing tables, questions, structured tests, and interviews. The sample for the study was 65 respondents. The results of this study are: (1) The influence of market orientation on human resource competence has a positive and significant value. It is seen from the relationship between variables of 63,534 > 1.96. (2) There is a positive and significant influence between market orientation towards MSME innovation, it is seen from the relationship between variables 4,145 > 1.96. (3) There is a positive and significant influence between human resource competencies on MSME innovation. This is evident from the relationship results between variables 15,149 > 1.96. (4) There is a positive and significant influence between market orientation and human resource competence on MSME innovation. This is seen from the relationship results between variables of 78,683 > 1.96. 
The Impact of Leadership Styles on Employee Engagement and Organizational Growth Sriliasta Bangun, Cicilia; Bennet, Daniel; Rusilowati, Umi
APTISI Transactions on Management (ATM) Vol 9 No 2 (2025): ATM (APTISI Transactions on Management: May)
Publisher : Pandawan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33050/atm.v9i2.2441

Abstract

Leadership plays a crucial role in shaping organizational success by influ- encing employee engagement, motivation, and overall business performance. Effective leadership fosters an environment where employees feel valued, en- gaged, and aligned with corporate goals, ultimately driving sustainable growth. This study aims to analyze the impact of different leadership styles transformational, transactional, and servant leadership on employee engagement and their subsequent effect on organizational growth. By employing a quantitative research approach using Structural Equation Modeling (SEM) with SmartPLS, this study provides empirical evidence on how leadership behaviors affect work- place dynamics. Data were collected from employees across various indus- tries using a structured survey. The relationships between leadership styles, employee engagement, and organizational growth were examined using Partial Least Squares-SEM (PLS-SEM). Reliability and validity were tested through Cronbach’s Alpha, Composite Reliability (CR), and Average Variance Extracted (AVE). The findings indicate that servant leadership has the strongest impact on employee engagement, followed by transformational and transactional lead- ership. Employee engagement significantly mediates the relationship between leadership styles and organizational growth. Organizations should priori- tize transformational and servant leadership approaches to enhance employee engagement and long-term growth. Future research should explore industry- specific leadership adaptations and the role of digital transformation in leader- ship effectiveness.
Evaluating the Effectiveness of AI in Developing Digital Marketing Content for Certification Service Firms Sugiyato, Agus; Bangun, Cicilia Sriliasta; Fauzi, Fikri; Mulyati, Mulyati; Al-Kamari, Omar Arif
ADI Bisnis Digital Interdisiplin Jurnal Vol 6 No 2 (2025): ADI Bisnis Digital Interdisiplin (ABDI Jurnal)
Publisher : ADI Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34306/abdi.v6i2.1305

Abstract

The implementation of Artificial Intelligence (AI) in digital marketing has become a major driver of business efficiency, yet its strategic implications and the role of human involvement still require in-depth study. This qualitative case study research aims to analyze the effectiveness of adopting generative AI (Gemini AI and Claude AI) in the content creation process at PT. Gaivo Solusi Manajemen, focusing on perceived usefulness, the role of human-in-the-loop, and the perspective of competitive advantage. Data were collected through semi-structured interviews with key informants and analyzed using Thematic Analysis. The findings indicate that AI substantially increases process efficiency, particularly in drafting content and SEO Meta packages, which boosts production volume and speed. However, key findings emphasize that AI is merely a supporting tool and necessitates mandatory supervision by expert staff (human-in-the-loop) to ensure information integrity and quality that complies with professional service industry regulations. Strategically, AI is not considered a source of hardly imitable competitive advantage (it is a commodity), but rather an enabler. The true competitive advantage lies in the staff’s ability in prompt engineering, supported by the company’s relevant internal data. This study provides managerial contributions by recommending a focus on investment in human resource skill development rather than solely on the acquisition of AI tools.
Co-Authors Abshor Marantika Al-Kamari, Omar Arif Alexander Williams Andri Iriyanto Anjani, Sheila Aulia Arief Suwandi Aropria Saulina Panjaitan Bennet, Daniel Daeli, Ora Pertiwi Djatmiko, Budi Dolan, Ellen Edwards, John Fauzi, Fikri Felisia Christiani Handra, Tessa Husin Husin Husin Husin, Husin Lyraa , Naomi Martono, Dedi Meria, Lista Mulyati Mulyati Nanda Septiani Pranata, Sudadi Riskhandini, Dinda Putri  Riya Widayanti Roesfiansjah Rasjidin Rusilowati, Umi Safiani A. Faaroek Santoso, Nesti Anggraini Septiani, Nanda Shino, Yamato Singh Bist , Ankur Sugiyato, Agus Suhara, Toni Suryari Purnama Syauqy, Muhamaad Rifat Toni Suhara Williams, Alexander