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All Journal Jurnal Bina Manajemen IAIC Transactions on Sustainable Digital Innovation (ITSDI) ADI Pengabdian kepada Masyarakat Jurnal (ADIMAS Jurnal) International Journal of Cyber and IT Service Management (IJCITSM)
Felix Sutisna
Universitas Multimedia Nusantara
Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Electrical & Electronics Engineering Library & Information Science Materials Science & Nanotechnology Social Sciences

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SIMULASI PENJADWALAN KEGIATAN PEMELIHARAAN MESIN PEMBANGKIT LISTRIK TENAGA DIESEL PADA PT PLN (PERSERO) SUB RAYON MANGARAN Felix Sutisna; Chrisna Wati Makadadus
Jurnal Bina Manajemen Vol 7 No 2 (2019): Jurnal Bina Manajemen Vol.7 No.2 Maret 2019
Publisher : STIE Wiyatamandala

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (275.112 KB)

Abstract

Maintenance is the activities to maintain on machines and plant facilities. Maintenance is good to maintain the useful life of the engine. Diesel engine that is used to supply electricity power to the customer needs to be done to maintain the quality KWH produced of maintenance activities and can be used in the long term. Monte Carlo simulation techniques are used to determine scheduling of engine maintenance can reduce the likelihood of unpredictable circumstances.
ANALISIS PERBANDINGAN TINGKAT KESALAHAN METODE PERAMALAN SEBAGAI UPAYA PERENCANAAN PENGELOLAAN PERSEDIAAN YANG OPTIMAL PADA PT DUTA INDAH SEJAHTERA Felix Sutisna; Hendy Hendy
Jurnal Bina Manajemen Vol 8 No 1 (2019): Jurnal Bina Manajemen Vol.8 No.1 September 2019
Publisher : STIE Wiyatamandala

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (548.678 KB)

Abstract

In the manufacturing industry, production planning is very important. Sales forecasting data can be used as a basis for production planning. Good planning allows a company to take the opportunity to sell its products and also has the advantage of competing. In the end to help achieve an optimal decision required the existence of an appropriate management or management, systematic, and can be accounted for. One of the tools that management requires from the decision-making process is the forecasting method. Forecasting method is used to measure or assess the situation in the future. In this study, the authors do the forecasting on the sale of Tessy products Napkin and Non Core types. Forecasting method which author use in this research was Naïve Method, Single Exponential Smoothing, Double Exponential Smoothing, Triple Exponential Smoothing, and Trend Projection. The correct forecasting method for Tessy Napkin and Non Core products is Trend Projection, since Trend Projection has the smallest MAD, MSE, and MAPE levels.
PENGARUH SOCIAL IDENTITY, EWOM, PERCEIVED RISK, DAN TRUST TERHADAP PURCHASE INTENTION DAN DAMPAKNYA TERHADAP PURCHASE DECISION PADA E-COMMERCE Tessa Handra; Felix Sutisna
Jurnal Bina Manajemen Vol 9 No 2 (2021): Jurnal Bina Manajemen Vol 9 No.2 Maret 2021
Publisher : STIE Wiyatamandala

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52859/jbm.v9i2.154

Abstract

This study was designed to test empirical truths between two or more research variables that have been formulated in the hypothesis. The research variables tused twere social identity, EWOM, perceived risk, trust, purchase intention, tand tpurchase decision. Exogenous variables in this study are social identity, EWOM, and perceived risk. Endogenous variables in this study are trust, purchase intention, and purchase decision. Methods of collecting data using questionnaires and data analysis methods using partial least square. The results of the study concluded that hypothesis 4 tand 5 was tnot significant. There was no effect of perceived risk on trust and there was no effect of perceived risk on purchase intention.
Unveiling the Role of SmartPLS and Technology in Analyzing HR Dynamics for Organizational Effectiveness Lista Meria; Andriyansah Andriyansah; Felix Sutisna; Alexander William; Lukita Pasha
International Journal of Cyber ​​and IT Service Management (IJCITSM) Vol. 5 No. 1 (2025): April
Publisher : International Institute for Advanced Science & Technology (IIAST)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34306/ijcitsm.v5i1.179

Abstract

The increasing complexity of organizational environments necessitates a deeper understanding of how management scope and Human Resource (HR) strategies interact to enhance organizational effectiveness. This study examines the integration of management functions and HR practices to address critical gaps in optimizing performance, particularly in dynamic and resource constrained settings. Using the SmartPLS methodology, empirical data was analyzed to evaluate the influence of management scope dimensions and HR strategies on organizational performance. The findings reveal that aligning HR strategies with well defined management functions significantly enhances adaptability, operational efficiency, and employee engagement. Specifically, strategic planning enables organizations to respond effectively to market disruptions, while efficient resource allocation fosters collaboration and productivity. However, challenges such as misaligned priorities, resistance to change, and resource limitations pose significant barriers to successful integration. Addressing these issues through adaptive leadership and innovative management approaches strengthens resilience and promotes sustainable growth. The study underscores the critical role of management HR alignment in leveraging human capital as a competitive advantage. By bridging theoretical frameworks with practical applications, this research provides valuable insights for managers seeking to navigate complex organizational dynamics. The findings highlight the importance of integrating management and HR strategies to foster long term organizational resilience and performance in rapidly evolving business landscapes.
Unveiling the Role of SmartPLS and Technology in Analyzing HR Dynamics for Organizational Effectiveness Lista Meria; Andriyansah Andriyansah; Felix Sutisna; Alexander William; Lukita Pasha
International Journal of Cyber ​​and IT Service Management (IJCITSM) Vol. 5 No. 1 (2025): April
Publisher : International Institute for Advanced Science & Technology (IIAST)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34306/ijcitsm.v5i1.179

Abstract

The increasing complexity of organizational environments necessitates a deeper understanding of how management scope and Human Resource (HR) strategies interact to enhance organizational effectiveness. This study examines the integration of management functions and HR practices to address critical gaps in optimizing performance, particularly in dynamic and resource constrained settings. Using the SmartPLS methodology, empirical data was analyzed to evaluate the influence of management scope dimensions and HR strategies on organizational performance. The findings reveal that aligning HR strategies with well defined management functions significantly enhances adaptability, operational efficiency, and employee engagement. Specifically, strategic planning enables organizations to respond effectively to market disruptions, while efficient resource allocation fosters collaboration and productivity. However, challenges such as misaligned priorities, resistance to change, and resource limitations pose significant barriers to successful integration. Addressing these issues through adaptive leadership and innovative management approaches strengthens resilience and promotes sustainable growth. The study underscores the critical role of management HR alignment in leveraging human capital as a competitive advantage. By bridging theoretical frameworks with practical applications, this research provides valuable insights for managers seeking to navigate complex organizational dynamics. The findings highlight the importance of integrating management and HR strategies to foster long term organizational resilience and performance in rapidly evolving business landscapes.
Improving MSME Competitiveness through Visual Design and Digital Branding Training Suryari Purnama; Felix Sutisna; Ninda Lutfiani; Dimas Aditya Prabowo; Syahyono Syahyono
ADI Pengabdian Kepada Masyarakat Vol 6 No 2 (2026): ADI Pengabdian Kepada Masyarakat
Publisher : ADI Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34306/adimas.v6i2.1457

Abstract

The strategic role of visual design and digital branding training in enhancing the competitiveness of micro, small, and medium enterprises (MSMEs) has become increasingly important in the digital economy era. Many MSMEs still face limitations in market reach and weak brand identity due to inadequate visual communication skills and minimal implementation of digital branding strategies. These challenges reduce their competitiveness in an increasingly competitive online marketplace. This community service program aims to analyze the impact of structured training in visual design and digital branding on improving brand perception, market visibility, and sales performance of MSMEs. This program employs a mixed-method approach by combining pre-test and post-test surveys, in-depth interviews, and direct observation. The participants consisted of 50 MSME actors who took part in a a three-month training program covering logo design, product packaging, social media branding, and digital marketing content creation. Quantitative data were analyzed using paired statistical tests, while qualitative data were examined through thematic analysis. The results indicate a significant improvement in brand consistency, visual attractiveness, digital engagement, and online sales growth after the participants completed the training program. Participants also reported increased confidence in managing brand assets and implementing digital communication strategies. It can be concluded that visual design and digital branding training represent an effective intervention to strengthen the competitiveness of MSMEs, support sustainable business growth, and promote the development of a resilient creative economy in the era of digital transformation.
Business Artificial Intelligence for Enhancing Sustainable Decision Intelligence Muttaqin Choiri; Eko Sigit Pramudito; Felix Sutisna; Rio Squire Sean
IAIC Transactions on Sustainable Digital Innovation (ITSDI) Vol 7 No 1 (2025): October
Publisher : Pandawan Sejahtera Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34306/itsdi.v7i1.712

Abstract

Business Artificial Intelligence (BAI) has become a key driver of organizational transformation, enabling advanced analytics, intelligent automation, and data-driven strategic decision-making. However, despite rapid technological progress, empirical research explaining how AI capability, algorithmic transparency, and task–technology alignment collectively shape Sustainable Decision Intelligence (SDI) within real business environments remains limited. To address this gap, this study introduces a novel BAI–SDI framework integrating AI Capability, Algorithmic Transparency, Task-Technology Fit (TTF), Decision Quality, and Sustainable Decision Intelligence as core constructs influencing long-term strategic and sustainable decision outcomes. Using a quantitative approach with Structural Equation Modeling–Partial Least Squares (SEM–PLS), survey data were collected from 402 professionals working in AI- integrated business sectors across Indonesia. The empirical results indicate that AI Capability significantly enhances Task-Technology Fit, while Algorithmic Transparency strongly predicts Decision Quality, emphasizing the importance of interpretability and accountability in trust-driven decision processes. Furthermore, Task-Technology Fit mediates the impact of AI Capability on Decision Quality, demonstrating that effective system-task alignment is essential for maximizing organizational value. The findings provide theoretical advancements by positioning SDI as an empirical extension of decision management theory and offer practical guidance for implementing ethical, transparent, and future-ready AI strategies within business environments. Overall, this study contributes actionable insights for strengthening governance and accelerating sustainable digital transformation in increasingly competitive and AI-driven decision ecosystems.
Co-Authors Alexander William Andriyansah . Chrisna Wati Makadadus Dimas Aditya Prabowo Eko Sigit Pramudito Hendy Hendy Lukita Pasha Meria, Lista Muttaqin Choiri Ninda Lutfiani Rio Squire Sean Suryari Purnama Syahyono Syahyono Tessa Handra