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Digitalization of the Logistics Industry – A Catalyst for Sustainable Economic Development in Vietnam
Get PDFLogistics is an industry that supports, connects, and drives socio-economic development, enhancing competitiveness and generating high added value. However, in Vietnam, the imbalance between production and logistics in strategic planning and policy has led to challenges in sustainable development. In this discussion, we will examine the reasons, barriers, and methods for addressing these issues to achieve the sustainable development goals for the 2025-2030 period, with a visiontoward 2040
MEDIA KOMUNITAS SUPORTER SEPAKBOLA SEBAGAI OPINION LEADER DI MEDIA SOSIAL: (Studi Etnografi Virtual dan Analisis Isi pada Media Sosial Twitter Komunitas Suporter Persib, Viking Persib Club, Viking Frontline, dan Simamaung)
Get PDFThis study focuses on how supporter community media become opinion leaders on Twitter. The objective is to analyze the social media activities of Persib Bandung\u27s supporter community media on Twitter as opinion leaders; to describe the interaction and communication patterns that occur; to identify, analyze, and understand the role of Persib Bandung\u27s supporter community media as opinion leaders on Twitter; and to analyze how these media shape and influence public opinion among Persib supporters using Twitter. A qualitative approach, utilizing virtual ethnography and content analysis, was employed to collect data through observing the virtual community on Twitter. The findings reveal that Viking Persib Club, Viking Frontline, and Simamaung play significant roles in shaping opinions among Bobotoh, Persib supporters. Viking Persib Club engages in direct interaction, information dissemination, and organizes various activities and campaigns that strengthen community solidarity. Viking Frontline stands out with its deep criticism of club-related issues, while Simamaung provides news, information, and in-depth analysis of club performance and policies. The interaction and communication patterns between the community media and their followers demonstrate that social media functions not only as a communication tool but also as a platform for building relationships, solidarity, and supporter identity. Supporters actively participate in discussions about various aspects of the club, not only responding to shared content but also regularly expressing their views. Furthermore, the supporter community media act as opinion leaders on Twitter, successfully shaping and influencing public opinion among supporters. Simamaung, in particular, not only provides information but also builds opinions and influences the actions of Persib supporters through its Twitter activities. The process of shaping public opinion on Twitter occurs through active roles in information dissemination, social action mobilization, and meaningful discussions about issues related to Persib Bandung. This research is expected to provide insights for community media managers and relevant stakeholders on effective communication strategies to influence and manage public opinion on digital platforms. Additionally, this study contributes to a deeper understanding of the dynamics of interaction and communication among football supporter communities in the digital era.
Keywords: Bobotoh Persib, Digital Era, Social Media Twitter, Football Supporter Community Media, Opinion Leaders.Penelitian berfokus pada bagaimana media komunitas suporter menjadi Opinion leader di Twitter. Dengan tujuan untuk menganalisis aktivitas media sosial dari media komunitas suporter Persib Bandung di Twitter sebagai opinion leader; menggambarkan pola interaksi dan komunikasi yang terjadi,mengetahui dan menganalisis serta memahami peran media komunitas suporter Persib Bandung sebagai opinion leader di Twitter, serta menganalisis bagaimana media komunitas suporter membentuk dan mempengaruhi opini publik di kalangan suporter Persib pengguna Twitter. Menggunakan pendekatan kualitatif dengan metode etnografi virtual dan analisis isi untuk mengumpulkan data dari observasi komunitas virtual di Twitter. Hasil penelitian menunjukkan bahwa Viking Persib Club, Viking Frontline, dan Simamaung berperan penting dalam membentuk opini di kalangan Bobotoh, suporter Persib, Viking Persib Club aktif melakukan interaksi langsung, penyebaran informasi, dan pengorganisasian berbagai aktivitas dan kampanye yang memperkuat solidaritas komunitas, viking Frontline menonjol dengan kritik mendalam terhadap isu-isu klub, sementara Simamaung menyediakan berita dan informasi serta analisis mendalam tentang performa dan kebijakan klub; Pola interaksi dan komunikasi antara media komunitas dan pengikutnya menunjukkan bahwa media sosial tidak hanya berfungsi sebagai alat komunikasi, tetapi juga sebagai platform untuk membangun hubungan, solidaritas, dan identitas suporter; Suporter aktif berpartisipasi dalam diskusi mengenai berbagai aspek klub, tidak hanya memberikan tanggapan terhadap konten yang dibagikan, tetapi juga secara rutin menyampaikan pandangannya, Selanjutnya media komunitas suporter berperan sebagai opinion leader di media sosial Twitter dan berhasil membentuk dan mempengaruhi opini publik di kalangan suporter; Terakhir media komunitas suporter Simamaung, tidak hanya menyediakan informasi, tetapi juga membangun opini dan mempengaruhi tindakan suporter Persib melalui aktivitas mereka di Twitter. Proses pembentukan opini publik di Twitter terjadi melalui peran aktif dalam menyebarkan informasi, menggerakkan aksi sosial, dan membangun diskusi yang bermakna mengenai isu-isu terkait Persib Bandung. Penelitian ini diharapkan memberikan wawasan bagi pengelola media komunitas dan pihak terkait tentang strategi komunikasi yang efektif dalam mempengaruhi dan mengelola opini publik di platform digital. Selain itu, penelitian ini juga berkontribusi pada pemahaman lebih lanjut tentang dinamika interaksi dan komunikasi di kalangan komunitas suporter sepak bola di era digital.
Kata Kunci: Bobotoh Persib, Era Digital, Media Sosial Twitter, Media Komunitas Suporter Sepakbola, Opinion Leader
Managing Cash Flow and Financial Efficiency in Logistics Companies: Analyzing Practices and Their Impacts
Get PDFThe phenomenon shows that the performance of the freight transport industry in Indonesia must be intensified to be more competitive, facing the current era of e-commerce technology-based business. This study examines the understanding and practices of cash flow management at PT. SMI Cargo and their impact on the company\u27s financial efficiency. Through interviews with management and financial data analysis, PT was found. SMI Cargo places significant emphasis on cash flow management as a key indicator of financial health. Interactive analysis was employed as the primary methodology, which involves four stages: data collection, reduction, presentation, and conclusion drawing. This approach allowed for a systematic examination of cash flow practices, uncovering key insights into the company’s financial strategies. Data triangulation was used to enhance the validity and credibility of the research findings. The company enforces strict controls over expenditures and receivables collection to maintain cash flow stability—routine assessments of financial reports and financing effectiveness aid strategic decision-making. The company may create successful business strategies, such as pricing and promotional efforts, as well as PT, using accurate financial records and careful data analysis. For asset and revenue management, SMI Cargo has a strong internal control system in place that guarantees asset values are always correct and current. Compared to the prior period, net cash flow grew by up to 40% as a result of cost control and improved client payments. Investor interest is piqued and sustained financial performance is supported by this simple yet efficient financial management. This study did not thoroughly examine external elements that could affect the company\u27s financial performance, such as macroeconomic conditions and regulatory changes in the logistics industry. To give a more complete picture of the company\u27s financial performance, more study must take into account the in-depth investigation of external issues, such as macroeconomic conditions, regulatory changes, or trends in the logistics market.The phenomenon shows that the performance of the freight transport industry in Indonesia must be intensified to be more competitive, facing the current era of e-commerce technology-based business. This study examines the understanding and practices of cash flow management at PT. SMI Cargo and their impact on the company\u27s financial efficiency. Through interviews with management and financial data analysis, PT was found. SMI Cargo places significant emphasis on cash flow management as a key indicator of financial health. Interactive analysis was employed as the primary methodology, which involves four stages: data collection, reduction, presentation, and conclusion drawing. This approach allowed for a systematic examination of cash flow practices, uncovering key insights into the company’s financial strategies. Data triangulation was used to enhance the validity and credibility of the research findings. The company enforces strict controls over expenditures and receivables collection to maintain cash flow stability—routine assessments of financial reports and financing effectiveness aid strategic decision-making. The company may create successful business strategies, such as pricing and promotional efforts, as well as PT, using accurate financial records and careful data analysis. For asset and revenue management, SMI Cargo has a strong internal control system in place that guarantees asset values are always correct and current. Compared to the prior period, net cash flow grew by up to 40% as a result of cost control and improved client payments. Investor interest is piqued and sustained financial performance is supported by this simple yet efficient financial management. This study did not thoroughly examine external elements that could affect the company\u27s financial performance, such as macroeconomic conditions and regulatory changes in the logistics industry. To give a more complete picture of the company\u27s financial performance, more study must take into account the in-depth investigation of external issues, such as macroeconomic conditions, regulatory changes, or trends in the logistics market
Exploratory Factor Analysis Perilaku Belajar Generasi Z dalam Ruang Kuliah Berbasis Studio
Get PDFClassrooms significantly affect student performance and learning behavior. A substantial number of classrooms were constructed reflecting the preferences of the preceding baby boomer generation. Thus, these outdated facilities may not align with the current needs and wants of Generation Z students. Recognizing this incongruity, there is a pressing need to enhance classrooms facility. This study aims to comprehensively examine the learning behavior of Generation Z students, serving as the foundational step in the development of advanced classrooms. The investigation specifically focuses on studio-based classrooms, incorporating students with a background in design major. The primary research question pertains to the factors influencing the learning behavior of Generation Z design students in studio-based settings. Employing a quantitative approach, the research utilizes exploratory factor analysis (EFA) techniques to identify key factors influencing the learning behavior. Comprising 104 students as respondents selected through convenience sampling, were involved in the study out of a total population of 132. Data analysis conducted by using JASP statistical software, employing the EFA method, revealed three prominent factors: facility & social support, self skill, and self impetus.
Keywords: learning behavior, design students, Generation Z, studio-based classrooms, EFA.Ruang kuliah berpengaruh pada performa dan perilaku belajar mahasiswa. Mayoritas ruang kuliah sudah berusia tua karena dibangun dengan mengacu pada preferensi generasi terdahulu yaitu baby boomer. Kondisi ini dinilai kurang relevan dengan kebutuhan dan keinginan mahasiswa sekarang yang notabenenya adalah Generasi Z sehingga muncul urgensi pengembangan ruang kuliah yang lebih maju. Penelitian bertujuan untuk mengidentifikasi secara mendalam perilaku belajar mahasiswa Generasi Z sebagai tahapan awal pengembangan ruang kuliah. Penelitian berfokus pada ruang kuliah berbasis studio dengan melibatkan mahasiswa berlatar pendidikan desain. Maka dari itu, rumusan masalah penelitian ini adalah apa faktor-faktor yang memengaruhi perilaku belajar mahasiswa desain Generasi Z dalam ruang kuliah berbasis studio. Metode penelitian menggunakan pendekatan kuantitatif dengan teknik exploratory factor analysis (EFA) sehingga mampu mengidentifikasi faktor yang berpengaruh. Pemilihan responden ditentukan melalui metode convenience sampling. Sampel penelitian melibatkan 104 mahasiswa dari jumlah populasi 132 orang. Data terkumpul dianalisis melalui software statistik JASP dengan menggunakan metode EFA. Proses analisis menghasilkan kelompok faktor-faktor, yaitu fasilitas & sosial pendukung (facility & social support), keahlian diri (self skill), dan dorongan diri sendiri (self impetus).
Kata Kunci: perilaku belajar, mahasiswa desain, Generasi Z, ruang kuliah studio, EFA
Improving Sentiment Classification using Ensemble Learning
Get PDFThis paper presents an ensemble learning-based approach to improve sentiment classification accuracy in the IMDB movie reviews dataset. To this end, we tap three diversified models: Logistic Regression, Random Forest, and a Bidirectional Long Short-Term Memory neural network. Each one contributes its unique strengths to the ensemble, enhancing the overall performance. The text data has been processed using a statistical formula that converts the text document into a vector from the relevancy of the word with bigrams; data have been transformed to make it useful for Logistic Regression and Random Forest classifiers. The LSTM neural network is designed to capture sequential dependencies through an embedding layer followed by a bidirectional LSTM and dense layers with dropout regularization. The ensemble method then combines predictions of these models by majority voting, thus the interpretability and robustness of conventional classifiers are preserved, while advanced capabilities from neural networks are maintained. Our experiments prove that this ensemble approach does obtain an accuracy of 89.2% on the test dataset, which outperforms individual models. This study realizes some possible ways to combine traditional machine learning techniques with deep learning models in sentiment analysis tasks
Security Service Monitoring Using Face Recognition, Near Field Communication and Geolocation Technology
Get PDFIn a company that provides security services, monitoring, and field control activities are carried out daily to ensure that all designated checkpoints are properly supervised. This research aimed at facilitating the management in summarizing the field control activity reports and enhancing the supervision of the field security personnel conducting field control. The application is developed using Golang, JavaScript, and Kotlin programming languages and utilizes PostgreSQL as its database. The application is web-based for administrative personnel and mobile-based for field security personnel. The technology used in building this application includes face recognition, GPS, and location-based service and NFC reader. Based on the implementation and testing results, it is found that the developed application functions according to the established workflow. The fastest face recognition detection time was 1.22 seconds, and the RFID tag was successfully detected at a distance of less than 4 cm and an average time of 0.378 seconds, and the use of geolocation provides accurate position results
Chatbot Adoption Framework for Real-Time Customer Care Support
Get PDFIn our society today, most sectors are digitizing and automating their processes for efficiency. Human labour has become obsolete as a result of the disruption of labour markets brought about by the rising complexity and availability of software programs. When seen in this light, the adoption of artificial intelligence chatbots by businesses as a supplement to human customer service representatives serves as a crucial development. Computer programs or software that communicate with humans using natural language are referred to as chatbot applications. Through the use of speech, text, or both, the purpose of a chatbot is to simulate human interaction in response to input in natural language. For the purpose of providing customer care support services, there are no well-formulated rules for the implementation of artificial intelligence chatbots in Kenyan telecom companies. An adoption framework for the deployment of artificially intelligent chatbots in the telecommunications sector was proposed as the objective of the research. This was accomplished by determining the current level of the installation of chatbot apps in Kenya and identifying the primary metrics that might be used as indications for the dissemination of chatbots. A study of the earlier frameworks and models on technology adoption was conducted in order to determine the relevant metrics. A combination of research approaches was used in this study, with questionnaires and interview schedules being used to obtain quantitative and qualitative data, respectively. In order to examine qualitative data, content analysis was what was used. Using tables and charts, descriptive analysis was performed on the quantitative data, and the findings were presented. AI specialists working for Safaricom PLC and the Communications Authority of Kenya were the ideal candidates for this position. From the two different telecommunications companies, a sample was selected for the research study utilizing the Delphi approach. A descriptive analysis as well as a major component analysis were used because they serve as a guide on aspects to consider before using AI chatbots for customer support services provision. The results of this research are particularly important to all companies that are involved in providing telecommunication service
Animasi Nyi Roro Kidul Melalui Augmented Reality Upaya Melestarikan Budaya Cerita Rakyat
Get PDFWith the rapid development of technology nowdays, the culture we have also needs to adapt to the rapid change of the technology so the culture stays relevant. One of the interesting modern technologies is the Augmented Reality technology where the virtual world able to enters the real world. With AR technology delivering local culture will be more interesting, one of them is Upacara Labuhan which is related to Nyi Roro Kidul. With Augmented Reality technology can emerge a figure of Nyi Roro Kidul into reality through animation. The virtual show of Nyi Roro Kidul is made for preserving the culture of Southern Seas Ruler myth. The method used for the research is MDLC (Media Development Life Cycle) for designing animation from start to finish. Then an interview conducted to determine whether the quality of the animations was sufficient to be distributed. Many opinions say that the style of animation is suitable for audience especially children.Dengan pesatnya perkembangan teknologi di jaman modern sekarang ini, budaya juga perlu beradaptasi mengikuti perkembangan dari teknologi tersebut sehingga budaya tetap relevan. Salah satu perkembangan teknologi modern yang menarik ialah teknologi Augmented Reality di mana dunia maya dapat masuk ke dalam dunia nyata. Dengan teknologi AR tersebut kemungkinan untuk penyampaian budaya yang lebih menarik menjadi lebih banyak, salah satunya budaya Upacara Labuhan yang berhubungan erat dengan sosok mitos Nyi Roro Kidul. Dengan teknologi Augmented Reality dapat memunculkan sosok Nyi Roro Kidul ke dalam dunia nyata dengan melalui animasi. Video animasi pertunjukan virtual Nyi Roro Kidul dibuat untuk melestarikan budaya yang muncul dari mitos penguasa laut selatan. Metode penelitian yang digunakan dalam artikel ini adalah MDLC (Media Development Life Cycle) untuk merancang animasi dari awal sampai selesainya artikel. Kemudian dilakukan wawancara untuk menentukan apakah kualitas animasi mencukupi untuk di distribusikan. Banyak pendapat mengatakan bahwa gaya dari animasi cocok untuk audiens terutama anak-anak
Strategi Komunikasi Pemasaran Digital: Mengoptimalkan Uniqueness untuk Mempertahankan Loyalitas Pelanggan
Get PDFThis research focuses on the digital marketing communication strategy implemented by SPBU Shell in Jakarta, with a specific emphasis on the analysis of Customer Experience in the Gas Station Industry. Using a qualitative approach and observation, this study aims to understand aspects related to customer experience at SPBU Shell. The literature review includes a review of scientific and technical literature related to Customer Experience at SPBU Shell. Data sources consist of internal documents from Shell, company policies, and official information from Shell. By applying thematic analysis and information synthesis, this research develops a holistic understanding of Customer Experience at SPBU Shell, with a focus on digital marketing communication strategies. The research results are expected to provide valuable insights to strengthen Shell\u27s position in the competitive market by highlighting the uniqueness of services and effective digital strategy implementation. Shell\u27s success in designing this approach creates emotional bonds with customers, strengthens brand image, and enhances customer engagement through integrated digital platforms, engaging multimedia content, direct interactions via social media, educational content, special promotions through the app, influencer marketing, targeted online campaigns, reputation management, and data analysis. This digital marketing approach not only maintains but also enhances Shell\u27s position in an increasingly competitive market.Penelitian ini memfokuskan pada strategi komunikasi pemasaran digital yang diterapkan oleh SPBU Shell di Jakarta, dengan penekanan khusus pada analisis Pengalaman Pelanggan dalam industri Stasiun Pengisian Bahan Bakar Umum (SPBU). Melalui pendekatan kualitatif dan observasi, penelitian ini bertujuan untuk memahami aspek-aspek yang terkait dengan pengalaman pelanggan di SPBU Shell. Studi literatur mencakup peninjauan literatur ilmiah dan teknis terkait Pengalaman Pelanggan di SPBU Shell. Sumber data terdiri dari dokumen internal Shell, kebijakan perusahaan, dan informasi resmi dari Shell. Dengan menerapkan analisis tematik dan sintesis informasi, penelitian ini mengembangkan pemahaman holistik tentang Pengalaman Pelanggan di SPBU Shell, dengan penekanan pada strategi komunikasi pemasaran digital. Hasil penelitian diharapkan dapat memberikan wawasan berharga untuk memperkuat posisi Shell di pasar yang kompetitif dengan menonjolkan keunikan layanan dan penerapan strategi digital yang efektif. Keberhasilan Shell dalam merancang pendekatan ini menciptakan ikatan emosional dengan pelanggan, memperkuat citra merek, dan meningkatkan keterlibatan pelanggan melalui platform digital terintegrasi, konten multimedia yang menarik, interaksi langsung melalui media sosial, edukasi konten, promosi khusus melalui aplikasi, pemasaran influencer, kampanye online tertarget, manajemen reputasi, dan analisis data. Pendekatan pemasaran digital ini bukan hanya mempertahankan, tetapi juga meningkatkan posisi Shell di pasar yang semakin sengit
Dynamic Models: Analysis of Macroeconomic Variables And Islamic Banks Performance in Indonesia Covid19 Period
No full textThe Covid19 pandemic has had an impact on macroeconomic conditions, and shocks to these factors will have an impact on how well banks, particularly Islamic banks, perform financially. Using the Vector Error Correction Model (VECM), the data is processed in the form of time series with the goal of analyzing the relationship between the performance of Islamic banks and macroeconomic indicators over the short and long terms. The Granger Causality Test, Impulse Response Function and Variance Decomposition, were some of the additional VAR analyses examined. The analysis\u27s findings indicate that Non Performing Finance (NPF), Capital Adequacy Ratio, interest, and inflation are the variables with the strongest long term and short term relationships according to the VECM model. The best variable used as the dependent variable is Non Performing Finance (NPF). In the long run NPF is influenced by Return on Assets (ROA), Nett Opertaing Margin (NOM), Capital Adequency Ratio (CAR), Finance Deposit Ratio (FDR), Industrial Production Index (IPI), Inflation (INF), Interest (INT). In the short run NPF is affected by NPF lag 1, CAR lag 1, inflation lag 1 and interest lag 1. The Granger Causality test results conclude that the variables that have a two-way relationship are INF and INT. The Variance Decomposition results conclude that the first stage of the NPF variant is explained by the contribution of the variable itself and then its contribution decreases because there are other contributions, especially from ROA. The results of the Impulse Response Function show that the shock is in a positive direction from ROA, CAR, FDR, IPI, INF, INT to NPF. Shock in the negative direction from NOM, Operating Expense to Operating Income (OEOI), and Exchange Rate (ER) to NPF.
Pandemic covid19 telah mempengaruhi kondisi makroekonomi, guncangan yang terjadi pada variable makroekonomi akan berpengaruh pada kinerja keuangan bank khususnya bank syariah. Penelitian ini bertujuan untuk menganalisis hubungan antara kinerja bank syariah dengan variable makro ekonomi baik jangka pendek maupun jangka panjang dengan menggunakan Vector Error Correction Model (VECM), data yang diolah berupa times series. Beberapa analisis VAR lainnya yang dianalisis adalah Granger Causality Test , Variance Decomposition dan Impulse Response Fuction. Hasil analisis menyimpulkan bahwa berdasarkan model VECM variable yang mempunyai hubungan jangka panjang dan
Pandemic covid19 telah mempengaruhi kondisi makroekonomi, guncangan yang terjadi pada variable makroekonomi akan berpengaruh pada kinerja keuangan bank khususnya bank syariah. Penelitian ini bertujuan untuk menganalisis hubungan antara kinerja bank syariah dengan variable makro ekonomi baik jangka pendek maupun jangka panjang dengan menggunakan Vector Error Correction Model (VECM), data yang diolah berupa times series. Beberapa analisis VAR lainnya yang dianalisis adalah Granger Causality Test , Variance Decomposition dan Impulse Response Fuction. Hasil analisis menyimpulkan bahwa berdasarkan model VECM variable yang mempunyai hubungan jangka panjang dan jangka pendek adalah Non Performing Finance, Capital Adequancy Ratio, interest, inflasi. Variable yang terbaik dijadikan variable dependen adalah Non Performing Finance (NPF). Dalam jangka panjang NPF dipengaruhi oleh ROA, NOM, CAR, FDR, IPI, INF, INT. Dalam jangka pendek NPF dipengaruhi oleh NPF lag 1, CAR lag 1, inflasi lag 1 dan interes lag 1. Hasil Granger Causality test menyimpulkan bahwa variable yang mempunyai hubungan dua arah adalah INF dan INT, Hasil Variance Decomposition menyimpulkan bahwa tahap pertama varian NPF dijelaskan oleh kontribusi variable itu sendiri dan selanjutnya kontribusinya semakin menurun karena ada kontribusi lain terutama dari ROA. Hasil Impuls Response Function menunjukkan bahwa shock arah positif dari ROA, CAR, FDR, IPI, INF, INT terhadap NPF. Shock arah negative dari NOM, OEOI, dan ER terhadap NPF.
Islamic Bank Performance; Macroeconomiccs Variables; VECM; GCT; IRF; VD
Islamic Bank Performance; Macroeconomiccs Variables; VECM; GCT; IRF; VD