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    591 research outputs found

    Framework for Implementing Green Supply Chain Practices in Indonesian Small and Medium Enterprises

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    The urgent need to address climate change, environmental degradation, and resource depletion has driven the adoption of sustainable business practices globally. For Small and Medium Enterprises (SMEs), particularly in developing countries such as Indonesia, transitioning toward sustainability presents both challenges and opportunities. Green Supply Chain Management (GSCM) offers a comprehensive approach to integrating environmental considerations into every stage of the supply chain, from sourcing raw materials to end-of-life product management. This study develops a practical GSCM framework tailored for Indonesian SMEs, using a qualitative multiple-case study method across three sectors: food, handicrafts, and logistics. Data collection methods included semi-structured interviews, on-site observations, and document analysis, followed by thematic coding and cross-case synthesis. The resulting framework identifies five interrelated components: supplier collaboration, eco-friendly material selection, waste reduction strategies, energy efficiency optimization, and sustainability performance monitoring. The framework is validated through triangulation of data sources and feedback from SME stakeholders. By aligning with the United Nations Sustainable Development Goals (SDGs), particularly Goals 12 and 13, this study provides actionable insights for policymakers, SME owners, and practitioners seeking to enhance sustainability while maintaining operational efficiency

    Digital Transformation Strategies for Effective Business Management in SMEs: A SmartPLS Approach

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    Small and Medium Enterprises (SMEs) in Tangerang, Indonesia, significantly contribute to economic development but face barriers in adopting digital technologies, such as limited resources, lack of digital skills, and organizational resistance. Digital transformation, encompassing cloud computing, digital marketing, automation, and data analytics, is increasingly recognized as essential for business growth and efficiency.  The primary objective of this study is to examine the impact of digital transformation strategies on operational efficiency, customer engagement, and overall performance in SMEs. Using a quantitative research approach, Partial Least Squares Structural Equation Modeling (SmartPLS) was applied to analyze data from 150 SMEs in Tangerang. The research measured the relationship between digital transformation strategies and key performance indicators. The results indicate that cloud computing and data analytics significantly improve operational efficiency by streamlining processes and enabling data-driven decision-making. Meanwhile, digital marketing and automation enhance customer engagement and market competitiveness, with SMEs showing stronger customer relationships and improved market positions. This study highlights the importance of adopting digital transformation to enhance SME business management and achieve sustainable growth. It offers practical insights for managers and policymakers and encourages future research on the long-term effects of digital transformation on SME resilience and innovation

    Digital Branding on Instagram and TikTok Driving Engagement for Cardboard Box Products

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    This study examines how digital branding on Instagram and TikTok, digital pro- motion, and product quality shape customer engagement and purchase intention in the packaging sector, using nuansa box indonesia Indonesia as the focal case. Gap research predominantly explores fashion, cosmetics, and F&B industries, leaving limited evidence on B2B/B2C packaging where products are often per- ceived as merely functional. We provide an in-depth case of a packaging brand and model the mediating role of customer engagement between digital strat- egy (branding, promotion) and purchase intention, estimated via PLS-SEM. The measurement model is robust (all loadings > 0.70; AVE > 0.50; Cronbach’s Alpha and Composite Reliability > 0.70). The structural model shows substan- tial explanatory power for purchase intention (R2 = 0.748). Product Quality is the strongest driver of Purchase Intention (β = 0.401), while Customer Engage- ment positively influences Purchase Intention (β = 0.288) and is significantly driven by Digital Branding (β = 0.489) and Digital Promotion (β = 0.375). The direct path from Digital Promotion to Purchase Intention is not significant (p = 0.060). Results indicate that compelling digital branding cultivates en- gagement that converts to purchase intention, but promotion alone is insufficient without strong product fundamentals. Managerially, firms should prioritize con- sistent, aesthetic branding to build engagement, leverage targeted promotions to activate trials, and sustain investment in product excellence as the ultimate lever of conversion and loyalty

    Designing a Subsurface Oil and Gas GUI Dashboard Using Design Thinking: Perancangan GUI Dashboard Subsurface Migas dengan Pendekatan Design Thinking

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    Oil and gas companies are currently facing increasingly significant production declines, requiring detailed, accurate and fast subsurface analysis. However, the complexity of large and scattered data, as well as the use of various non-integrated software, are obstacles that cause difficulties and long and inefficient analysis times. Therefore, this study aims to design an intuitive graphical user interface (GUI) dashboard to speed up and facilitate the process as part of the technology management of one of the oil and gas companies in Indonesia. The design thinking and new product development approaches are used to design the system. Qualitative methods are carried out through in-depth interviews, field observations, and surveys to identify user needs and build a subsurface dashboard GUI system, while quantitative methods are used to analyze multi-matrices from the House of Quality (HoQ) and evaluate the intuitiveness and usability of the prototype with the System Usability Scale (SUS) instrument. The analysis was carried out using user personas, customer journey maps, and HoQ to determine the main features. The results of the study indicate that visual graphics, seismic maps and cross-sections, customization, and data management are priority features in the subsurface dashboard GUI system prototype. The SUS evaluation shows that the system is intuitive, user-friendly, and can support work efficiency, as well as suit user needs.Perusahaan migas saat ini menghadapi penurunan produksi yang semakin signifikan, sehingga memerlukan analisis subsurface yang detail, akurat dan cepat. Namun kompleksitas data yang besar dan tersebar, serta penggunaan berbagai software yang tidak terintegrasi, merupakan hambatan yang menyebabkan kesulitan dan waktu analisis yang lama dan tidak efisien. Oleh karena itu, penelitian ini bertujuan merancang dashboard graphical user interface(GUI) yang intuitif untuk mempercepat dan memudahkan proses tersebut sebagai bagian dari managemen teknologi dari salah satu perusahaan migas di Indonesia. Pendekatan design thinking dan new product development digunakan untuk merancang sistem tersebut. Metode kualitatif dilakukan melalui wawancara mendalam, observasi lapangan, dan survei untuk mengidentifikasi kebutuhan pengguna dan membangun sistem GUI dashboard subsurface, sedangkan metode kuantitatif untuk menganalisis multi matrik dari House of Quality (HoQ) dan mengevaluasi intuitivitas dan keramah-penggunaan prototipe dengan instrumen System Usability Scale (SUS). Analisis dilakukan menggunakan user persona, customer journey map, dan HoQ untuk menentukan fitur utama. Hasil penelitian menunjukkan bahwa grafis visual, peta dan penampang seismik, kustomisasi, dan manajemen data merupakan fitur prioritas pada prototipe sistem GUI dashboard subsurface. Evaluasi SUS menunjukkan bahwa sistem ini intuitif, ramah pengguna, dan dapat mendukung efisiensi kerja, serta sesuai dengankebutuhan pengguna

    Advanced Predictive Models for the Startup Ecosystem Using Machine Learning Algorithms

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    The startup ecosystem, characterized by its dynamism, presents significant challenges in predicting its future trajectory. Traditional analytical methods often fall short in comprehensively addressing the myriad factors that shape this ecosystem. This research aims to enhance the predictability of trends within the startup landscape by integrating the Technology Acceptance Model (TAM) with the advanced Random Forest algorithm. While existing literature has extensively explored the challenges startups face and the nuances of stakeholder interactions, the integration of TAM\u27s constructs with key empirical attributes, specifically Investment Dynamics, Startup Metrics, Stakeholder Interactions, Entrepreneurial Challenges, and Technological Infrastructure, is a pioneering approach. Drawing from a comprehensive dataset that spans a diverse array of startups, this study operationalizes TAM\u27s constructs in conjunction with the specified attributes. The subsequent application of the Random Forest algorithm offers a novel predictive methodology. Initial results highlight the superior predictive capabilities of this integrated model compared to traditional approaches. The findings provide insights into the intricate relationship between technological perceptions, as framed by TAM, and the tangible realities of the startup domain. The fusion of TAM with state-of-the-art machine learning signifies a groundbreaking direction in startup ecosystem research. This innovative approach offers stakeholders an enhanced analytical tool, ensuring more informed decision-making and a deeper grasp of the multifaceted nature of startup ecosystems

    Sistem Pendukung Keputusan Dalam Menentukan Karyawan Terbaik Dengan Menggunakan Metode Simple Additive Weighting (SAW): Decision Support System for Determining the Best Employees Using the Simple Additive Weighting (SAW) Method

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    Increasing standards in the employee selection process by the Company\u27s Human Resources Division has encouraged employees to continue improving their abilities. To evaluate employee performance effectively, a system is needed that can provide an objective assessment of their performance. This aims to ensure that the assessment carried out by the company on the competence and quality of employees is in accordance with existing needs. Therefore, developing a Decision Support System is very important to provide solutions and assistance to Human Resources Managers in selecting the best employees at PT. Sam Kyung Jaya Garments. The Simple Additive Weighting (SAW) method was chosen as the approach used in this system. The SAW method is a method that calculates the total weight of the performance assessment for each alternative for all relevant attributes. It is hoped that the results of this system can provide useful options for the Human Resources Division in determining the best employees in the company

    Implementasi Promotion Mix Pada Keluarga Baba Wedding Organizer Dalam Meningkatkan Jumlah Pengguna Jasa Di Era New Normal : Implementation of Promotion Mix in the Baba Wedding Organizer Family to Increase the Number of Service Users in the New Normal Era

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    After experiencing a pandemic for approximately 2 years, many businesses, not only in Indonesia, but in the world began to strengthen their determination to bounce back. Not only did it cost lives due to exposure to Covid-19, but businesses also became victims. Nevertheless, there are also businesses that survive in the midst of this deadly virus attack which is full of uncertainty when it will end. The promotional mix is the best strategic combination of advertising variables, personal selling, and other promotional tools, all of which are planned to achieve the objectives of the sales programme. This research aims to find out how the implementation of the promotional mix at Keluarga Baba Wedding Organizer has managed to survive through a pandemic where the majority of business people have to go out of business due to hampered sales activities. The research method used in this research is the explanatory case study method. The informant determination technique used is purposive sampling technique. The result of this study shows that Keluarga Baba has implemented the promotion mix well, starting from the planning to the evaluation process. This is evident from the consistency of Keluarga Baba\u27s educational-based advertising promotions on Instagram and the attractiveness of consumers who want to use Keluarga Baba\u27s services

    EVALUASI PROGRAM KELUARGA HARAPAN (PKH) DI KELURAHAN PERIUK JAYA KECAMATAN PERIUK KOTA TANGERANG

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    ABSTRACT This research aims to evaluate the implementation of the Program Keluarga Harapan (PKH) in Periuk Jaya Sub district, Periuk District, Tangerang City, using descriptive qualitative research method involving observation, interviews, and data interpretation. Research informants include various stakeholders in the PKH implementation, including high-ranking officials such as the Head of the Tangerang City Social Office, the Coordinator of PKH in Tangerang City, and PKH beneficiaries. The research results indicate that the implementation of PKH in Periuk Jaya has achieved various levels of success, especially in improving the health and education quality of the beneficiaries, supported by their active participation. Despite changes in fund disbursement, efficiency can still be improved through better guidance. Issues regarding the adequacy of assistance and equitable distribution persist, emphasizing the importance of refining beneficiary selection. The positive response from the community towards PKH demonstrates its positive impact, although there is room for improvement. Overall, this research provides a comprehensive overview of the implementation of PKH in Periuk Jaya.

    Rancang Bangun Game Adventure 3D Edukasi Sampah Organik dan Non-Organik: Design and Build an Educational 3D Adventure Game on Organic and Non-Organic Waste

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    This research aims to design and develop an Educational 3D Adventure Game as an informative tool for organic and non-organic waste. The development method employed is MDLC (Multimedia Development Life Cycle), encompassing Concept, Design, Material Collecting, Assembly, Testing, and Distribution stages. The game was successfully created for the Android platform using Unity3D.The testing results, involving 22 respondents from Gedang Rowo Village, demonstrate a positive response with an approval rate of 90%. Media experts\u27 evaluation reached 68%, while content experts provided a 100% approval rate. These findings indicate that "TrashHero" has effectively become an engaging and interactive information medium regarding organic and non-organic waste.Utilizing the Likert scale, the conclusion drawn from the testing affirms that "TrashHero" has achieved a remarkably high level of success. Therefore, this game is considered an effective educational tool for conveying information about waste while providing an interactive experience for users

    Reaktualisasi Reformasi Birokrasi Melalui Pemangkasan Birokrasi (Studi Kasus: BKPSDM Provinsi Bali): Reactualization of Bureaucratic Reform Through Bureaucratic Reduction (Case Study: BKPSDM of Bali Province)

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    This study aims to determine the process of re-realization of bureaucratic reform through the implementation of bureaucratic simplification in the BKPSDM of Bali Province and the obstacles faced in realizing bureaucratic reform in the implementation of bureaucratic simplification. This study uses a qualitative descriptive research method. The results of the study indicate that the process of reactualization of bureaucratic reform has gone well by referring to regulations that are oriented towards results and are applicable, the implementation process is measurable, synergistic, so that innovation of the apparatus and its implementation are monitored. In fact, several aspects such as the efficiency of resource use, the effectiveness of adaptation of new work systems, the realism of hierarchy reduction and the consistency of preparing individual employee skills and expertise have not been implemented optimally. The obstacles faced are the lack of competency development for functional position holders due to equalization, bureaucratic simplification regulations that still need to be reviewed and evaluated, there are still functional position holders with old work pattern mindsets, and limited implementation time targets. Implications for further research can use more complete aspects of bureaucratic simplification and can conduct research in several other Regional Devices (PD) in order to get more comprehensive results

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