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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) Society: Jurnal Pengabdian Masyarakat International Journal of Cyber and IT Service Management (IJCITSM) Jurnal Pengabdian Mandiri 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) International Transactions on Artificial Intelligence (ITALIC) Journal of Computer Science and Technology Application
Bangun, Cicilia Sriliasta
Universitas Esa Unggul
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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Digital Business Student Development for Entrepreneurs with Software Nanda Septiani; Ankur Singh Bist; Cicilia Sriliasta Bangun; Ellen Dolan
Startupreneur Business Digital (SABDA Journal) Vol. 1 No. 1 (2022): April
Publisher : Pandawan Sejahtera Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (815.699 KB) | DOI: 10.33050/sabda.v1i1.74

Abstract

Era revolution 4.0, universities throughout Indonesia are computer technology and the economy. This article provides sufficient detail about the course's pedagogical design and practical implementation to serve as a model for how entrepreneurship and business issues can be integrated into a software engineering program. Courses are evaluated using learning diaries and questionnaires, as well as principal lecturer learning in each of the three sample courses The aim of this course is to provide students with an introduction to lean startup methods for ideas/innovations and further product and company development. This course will teach students about the software industry, entrepreneurship, teamwork, and lean startup methodologies and This article provides sufficient detail about the course's pedagogical design and practical implementation to serve as a model for the Course to be evaluated using learning and questionnaires.
The Role of Application Programming Interface in Transforming Restaurant Delivery Operations Cicilia Sriliasta Bangun; Solahudin Solahudin; Asep Sutarman; Sipho Dlamini
Startupreneur Business Digital (SABDA Journal) Vol. 5 No. 1 (2026): April
Publisher : Pandawan Sejahtera Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33050/sabda.v5i1.1066

Abstract

The rapid growth of online food delivery services has transformed the restaurant industry, requiring efficient and scalable solutions to meet increasing customer demands. However, traditional restaurant management systems often struggle with integration challenges, operational inefficiencies, and customer dissatisfaction due to delays and miscommunication. This study aims to analyze the role of Application Programming Interfaces (API) in optimizing restaurant delivery operations by enhancing order management, inventory tracking, and real-time customer interactions. Using a mixed-method approach, we conducted case studies on multiple restaurant platforms and surveyed industry professionals to assess the effectiveness of API integration. The findings reveal that API-driven systems significantly improve delivery accuracy, reduce processing time, and enhance customer experience by automating order workflows and enabling seamless third-party service connections. The results indicate that restaurants leveraging API can achieve a higher level of efficiency and scalability, minimizing operational bottlenecks while maintaining service quality. This research concludes that API play a crucial role in transforming restaurant delivery operations, providing a competitive advantage in the evolving digital marketplace. Future studies should explore the impact of emerging technologies such as AIpowered API and blockchain integration for further optimization.
Predictive Analysis of Startup Ecosystems: Integration of Technology Acceptance Models with Random Forest Techniques Daniel Bennet; Sheila Aulia Anjani; Ora Pertiwi Daeli; Dedi Martono; Cicilia Sriliasta Bangun
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. 
Hybrid Fuzzy Logic Models for Performance Evaluation in Complex Decision-Making Systems Cicilia Sriliasta Bangun; Padeli Padeli; Muhamad Yusup; Adele Valerry
International Transactions on Artificial Intelligence Vol. 4 No. 2 (2026): May
Publisher : Pandawan Sejahtera Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33050/italic.v4i2.1095

Abstract

Complex decision-making systems increasingly face uncertainty, nonlinearity, incomplete information, and dynamic data streams, making conventional rule-based and statistical approaches less reliable for adaptive and consistent decision support. Fuzzy logic offers interpretability for imprecise reasoning, whereas machine learning contributes predictive strength and optimization capability. This study develops and evaluates fuzzy logic-based hybrid models that integrate fuzzy inference systems with neural learning and evolutionary optimization. Benchmark datasets and simulation-based case studies were used to test model performance under uncertain and nonlinear conditions. The models were assessed using prediction accuracy, decision consistency, computational efficiency, error reduction, scalability, and adaptability, followed by comparison with conventional fuzzy, statistical, and standalone machine learning models. The main objective is to evaluate the effectiveness, reliability, scalability, and adaptability of hybrid fuzzy models for complex decision-making systems. The findings show that the proposed hybrid fuzzy models outperform conventional single model approaches across different scenarios. The models improve prediction precision, stabilize decision outputs under uncertainty, reduce error rates, and enhance adaptability to nonlinear data patterns. Neural learning strengthens predictive capability, while evolutionary optimization improves rule refinement, parameter tuning, and adaptive decision processing. This study concludes that fuzzy logic-based hybrid models provide a robust, interpretable, and scalable framework for intelligent decision support in uncertain and dynamic environments. The findings support the development of adaptive hybrid artificial intelligence systems for healthcare, energy management, smart cities, finance, and industrial automation. This structure also promotes transparent reasoning, reproducible evaluation, and practical deployment in high-stakes environments requiring explainability and resilience simultaneously.
A Robust Quality-Control Framework for Standardizing Potato-Chip Frying Parameters Using Goal Programming and Monte Carlo Simulation Cicilia Sriliasta Bangun; Andre Wicaksana; Edwar; MD. Amperajaya; Antoniette T. Mollejon
JTI: Jurnal Teknik Industri Vol 12 No 2 (2026): December 2026
Publisher : Universitas Islam Negeri Sultan Syarif Kasim Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24014/jti.v12i2.39798

Abstract

Capacity expansion in continuous food processing can destabilize quality when operating settings developed for a lower-throughput line are carried forward without statistical revalidation. This issue is pronounced in potato-chip frying, where moisture removal, oil uptake, immersion condition, and residence time interact during processing. Previous studies have explained frying mechanisms or proposed optimized parameter values, but fewer have shown how those results can be converted into Statistical Process Control (SPC) routines that operators can monitor and act on. This study proposes an integrated quality-control framework to standardize frying parameters after a 22% demand surge increased waste from 1-5% to approximately 20%. Historical shift-level records from March-May 2025 were treated as Phase-I data; after structural cleaning and IQR-based screening, 113 of 132 records were retained. The framework connects CTQ identification, empirical response modelling, lexicographic goal programming, Monte Carlo validation, scenario-tested operating windows, sensitivity ranking, Ppk review, and SPC deployment. Moisture content and oil content were selected as CTQs. Simulation results showed stable moisture performance, whereas oil content remained the limiting CTQ with predictive Ppk of 0.92. The framework offers a practical bridge between optimization results and shop-floor SPC implementation for post-expansion frying stabilization.
Digital Marketing for Young Entrepreneurs: Counselling at Global Cahaya Nubuwwah Insani School, Purwakarta Ayu Ekasari; Yosephina Endang Purba; Cicilia Sriliasta Bangun; Havidz Kus Hidayatullah; Acep Riana Jayaprawira
Society : Jurnal Pengabdian Masyarakat Vol. 5 No. 4 (2026): Juli
Publisher : Edumedia Solution

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55824/025g9756

Abstract

The rapid development of the digital economy creates new opportunities for young people to participate as entrepreneurs. High school students, despite being active with digital technology and social media, are unaware of their benefits. Yet, it is important for entrepreneurs to optimize digital technology when marketing their products. The Community Service Team from the Faculty of Economics and Business Universitas Trisakti held a digital marketing counselling program for high school students studying at Global Cahaya Nubuwwah Insani (GCNI) in Purwakarta. The problem faced by the GCNI school was the low understanding of students about digital marketing which is very important for them studying to become young entrepreneurs.    The program was aimed to enhance students’ understanding of digital marketing, its implementation and strategies for measuring its performance. The counselling method consisted of discussion and sharing experiences in using digital technology.  To evaluate the effectiveness of the program, students were given two similar questionnaires before and after the program was conducted. The result of the descriptive analysis of the pre and after questionnaires indicate that students’ understanding of digital marketing concept improved after they joined the counselling program. The findings suggest that counselling is an effective educational approach to increasing students’ knowledge about digital marketing and strengthening their entrepreneurial spirit.
Co-Authors Abshor Marantika Acep Riana Jayaprawira Adele Valerry Agus Sugiyato Alexander Williams Andre Wicaksana Andri Iriyanto Ani Nuraini Ankur Singh Bist Antoniette T. Mollejon Arief Suwandi Aropria Saulina Panjaitan Asep Hermawan Asep Sutarman Ayu Ekasari Ayu Ekasari Bennet, Daniel Budi Djatmiko Daniel Bennet Dedi Martono Edwar Edwards, John Ellen Dolan Felisia Christiani Fikri Fauzi Handra, Tessa Havidz Kus Hidayatullah Husin Husin Husin Husin, Husin Lyraa , Naomi Mahadewi, Erlina Puspitaloka MD. Amperajaya Meria, Lista Muhamaad Rifat Syauqy Muhamad Yusup Mulyati Mulyati Nanda Septiani Nurhayati Omar Arif Al-Kamari Ora Pertiwi Daeli Padeli Padeli Pranata, Sudadi Purba, Yosephina Endang Ramiro Santiago Ikhsan Riskhandini, Dinda Putri  Riya Widayanti Roesfiansjah Rasjidin Rusilowati, Umi Safiani A. Faaroek Santoso, Nesti Anggraini Sheila Aulia Anjani Shino, Yamato Sipho Dlamini Solahudin Solahudin Suhara, Toni Suryari Purnama Toni Suhara Williams, Alexander