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Tujuan dari penelitian ini: Mengetahui pengaruh komunitas online terhadap keputusan pembelian online. Mengetahui pengaruh promosi digital terhadap keputusan pembelian online. Penelitian ini menggunakan pendekatan kuantitatif. Pengambilan sampel yang digunakan yakni peneliti dengan sengaja menentukan sampel yang dipilih sesuai dengan jumlah komunitas di grup Facebook dan persyaratan sampel yang ditentukan. Populasi dalam penelitian ini adalah seluruh jenis kelamin berusia 18 – 30 tahun dan sampel pada penelitian ini ada 100 responden. Metode pengumpulan data yang digunakan adalah skala dengan variabel terikat Keputusan pembelian online dan variabel bebasnya yakni, komunitas online dan promosi digital. Teknik analisa data menggunakan uji analisis regresi linier berganda dengan bantuan program Statistical Package for Social Sciences (SPSS) 22.0 for Windows. Hasil penelitian menunjukan bahwa: Komunitas Online paling berpengaruh positif dan signifikan terhadap Keputusan Pembelian Online. Promosi Digital berpengaruh positif dan signifikan terhadap Keputusan Pembelian Online.

In the era of globalization and digital transformation, organizations strive to maintain competitiveness through optimizing internal factors such as work culture, business process engineering (BPR), and decision support systems (DSS). This qualitative research based on a Systematic Literature Review (SLR) analyzes the relationship between these three using the Denison Organizational Culture Model, Hammer & Champy BPR, and the Resource-Based View (RBV). It finds that work culture mediates the implementation of BPR and DSS to increase efficiency by 30-50%, employee productivity, and sustainable competitive advantage. Case studies such as the Toyota Production System (TPS) confirm this synergy, resulting in reduced costs, cycle times, and improved service quality. This research also emphasizes the importance of a strong work culture in supporting the implementation of new technologies and methodologies, which in turn strengthens the company's market position. Thus, organizations that are able to integrate these three elements will be better prepared to face the challenges of globalization and dynamic changes in their industry, creating a sustainable advantage and being able to survive in a highly competitive market.

Manual quality assessment of Platelet Concentrate (TC) is highly subjective and inconsistent, necessitating an objective, automated classification system. This study aims to develop a computationally efficient, low-cost model for TC quality classification using Histogram Features extracted from grayscale images combined with the K-Nearest Neighbor (KNN) algorithm. The methodology employed critical preprocessing steps, including StandardScaler for normalization and SMOTE for balancing the training data, followed by optimization across K=1 to K=30. The optimal model achieved a maximum accuracy of 69.23% at K=6, with an F1-Score of 71.43%, confirming robust performance on the imbalanced testing set. The results validate the effectiveness of the Histogram-KNN approach as a consistent and reliable decision support system for rapid TC quality screening in resource-limited settings.

This community service activity aims to improve digital literacy and managerial skills of Micro, Small, and Medium Enterprises (MSMEs) through two training programs: "Optimizing Marketing Content Using Artificial Intelligence (AI) Applications" and "Digital Financial Management." The program was implemented through several stages, including problem identification, training material development, hands-on training, mentoring, and evaluation using pre-test and post-test instruments to measure program effectiveness. Fifteen MSMEs from Prapatan Village, Balikpapan City, participated in the program. The evaluation results showed that the training significantly improved participants' understanding of the use of digital marketing and technology-based financial management. Prior to the training, most participants still had limited digital literacy and had not utilized technology for promotion or financial recording. After participating in the program, 73.3% of participants assessed the material as excellent and relevant to their business needs. This program provides a tangible contribution to the development of technology-based applied science while supporting community economic empowerment through the MSME digitalization process.  

This community service activity aims to improve digital literacy and managerial skills of Micro, Small, and Medium Enterprises (MSMEs) through two training programs: "Optimizing Marketing Content Using Artificial Intelligence (AI) Applications" and "Digital Financial Management." The program was implemented through several stages, including problem identification, training material development, hands-on training, mentoring, and evaluation using pre-test and post-test instruments to measure program effectiveness. Fifteen MSMEs from Prapatan Village, Balikpapan City, participated in the program. The evaluation results showed that the training significantly improved participants' understanding of the use of digital marketing and technology-based financial management. Prior to the training, most participants still had limited digital literacy and had not utilized technology for promotion or financial recording. After participating in the program, 73.3% of participants assessed the material as excellent and relevant to their business needs. This program provides a tangible contribution to the development of technology-based applied science while supporting community economic empowerment through the MSME digitalization process.  

This study aims to analyze the SWOT of the application of the Quick Response Indonesian Standard (QRIS) in deepening the understanding of financial management in micro business actors in the food sector in Tropodo, Sidoarjo. The method used is qualitative descriptive with case studies, through in-depth interviews with five business actors who have adopted QRIS. The data was analyzed using source triangulation to ensure the validity of the findings. The results of the study show that QRIS provides strength in the form of ease of transactions, automatic recording, cash flow transparency, and increased consumer competitiveness. Weaknesses that arise include delays in disbursement of funds, deduction fees, mixing business funds with personal funds, and lack of understanding of advanced features. From the external side, opportunities are reflected in the trend of cashless society, digital financial literacy, integration with supporting applications, and the expansion of the cashless payment ecosystem. Meanwhile, threats include network disruptions, security risks, reliance on service providers, and potential data leaks. Overall, QRIS not only acts as a means of payment, but also as a strategic instrument for MSME financial governance. Therefore, it is important to increase financial literacy and infrastructure support so that the benefits of QRIS can be optimized.

Pemerintah daerah memiliki kewenangan pengelolaan Anggaran Pendapatan dan Belanja Daerah (APBD) untuk menyediakan dan melakukan pemeliharaan infrastruktur fisik yang digunakan oleh Masyarakat, sehingga diperlukan perencanaan yang komprehensif untuk Pembangunan dan pemeliharaan infrastruktur fisik agar tepat sasaran dan memiliki kemaslahatan bagi Masyarakat. Pembangunan infrastruktur yang berhasil akan berdampak pada masyarakat untuk memiliki akses dalam melaksanakan berbagai kegiatan yang berhubungan dengan peningkatan taraf hidup. Penelitian ini bertujuan untuk mengevaluasi biaya pemeliharaan infrastruktur jalan di Kota bogor berbasis faktor yang dianggap signifikan mempengaruhi sekaligus memberikan rekomendasi biaya pemeliharaan yang optimal untuk jalan raya di Kota Bogor, Jawa Barat. Penelitian ini dilakukan melalui metode kuantitatif dan kualitatif (mix method), metode kuantitatif dilakukan dengan menganalisa 30 ruas jalan yang telah dilaksanakan untuk menentukan faktor yang dianggap mempengaruhi dan dominan dalam pemeliharaan jalan. Penelitian kualitatif akan dilakukan melalui interview mendalam (in-depth interview) kepada pakar untuk memvalidasi hasil penelitian kuantitatif yang dihasilkan sehingga dapat menjadi rekomendasi pemeliharaan jalan raya di Kota Bogor, Jawa Barat. Hasil dari penelitian ini adalah hasil evaluasi pemeliharaan jalan beserta faktor yang dianggap mempengaruhi dalam pemeliharaan jalan.  Penelitian ini akan memberikan manfaat  baru dalam mengembangkan knowledge bidang pemeliharaan infrastruktur jalan raya bagi pemerintah daerah, akademisi, kontraktor dan Masyarakat dalam pemeliharaan infrastruktur jalan raya di Kota Bogor, Jawa Barat dan daerah lain untuk dievaluasi dan dikembangkan faktornya agar pekerjaan pemeliharaan jalan di daerah menjadi optimal di masa yang akan datang.

Based on the financial performance analysis of PT. Gudang Garam Tbk (GGRM) during the 2020–2023 period, the company faced significant challenges that impacted its financial condition. One of the main factors affecting the company's performance is the increase in tobacco excise duties, which has affected the cost structure and selling prices of its cigarette products. Additionally, the increasing regulatory pressure and changes in consumer behavior have posed unavoidable challenges. The decline in profitability and liquidity ratios, such as Return on Assets (ROA) and Current Ratio (CR), indicates the negative impact of these external conditions on the company’s ability to generate profit and meet short-term obligations. This decline suggests that the company is struggling to balance income and operational costs. The fluctuating solvency ratio also raises concern. Although the company manages to maintain a balance between debt and equity, these fluctuations show challenges in managing long-term assets and liabilities. Dependence on debt and rising operational costs pose risks to the company's financial stability. These fluctuations affect the company's ability to maintain liquidity and solvency in an increasingly competitive market. Trend analysis from the financial statements indicates that the company needs to strengthen its adaptation strategies and risk management to face the growing market challenges. GGRM must focus on product innovation and marketing strategies that can attract new customers while retaining existing ones. Furthermore, the company must adapt to changing regulations and evolving consumer trends. The results of this study provide important insights for stakeholders regarding the financial condition of the tobacco industry. In this challenging situation, GGRM must continue to develop more adaptive strategies to survive and thrive amidst the dynamic market and increasingly stringent regulations.

This study aims to conduct a SWOT analysis in planning the development strategy of Child-Friendly Integrated Public Space (RPTRA) in East Cempaka Putih Village. RPTRA is a public facility designed to support children's growth and development, improve the quality of the social environment, and strengthen relationships between residents in urban areas. Despite having great potential in encouraging social development, the existence of RPTRA still faces various challenges in its implementation, such as limited facilities, lack of community participation, and weak management systems. This study uses SWOT analysis methods to identify the strengths, weaknesses, opportunities, and threats faced by RPTRAs in the region. The data collection technique was carried out through direct observation at the location, documentation, and interviews with various stakeholders, including the village government, RPTRA managers, and the community using the facility. The results of the analysis show that the main strength of RPTRA lies in the existence of basic infrastructure, strategic location, and policy support from local governments. Weaknesses include lack of operational funds, limited educational facilities, and lack of training for managers. Opportunities can be seen from increasing public awareness of the importance of child-friendly public spaces and the opening of potential partnerships with the private sector. The threat comes from the potential for vandalism, lack of social control, and the risk of non-functional use of space. This research provides a number of strategic recommendations that include multi-stakeholder collaboration, active community involvement, and capacity building of human resources in the management of RPTRA. In addition, the proposed long-term strategies include the integration of family empowerment programs, the improvement of educational technology-based facilities, and the strengthening of regulations that support the sustainability of the RPTRA program. The implications of this study are expected not only to have an impact on optimizing the function of RPTRA locally, but also to become a model for the development of child-friendly public spaces in other urban areas. This research contributes to the literature on inclusive urban development oriented towards child welfare and strengthening community social cohesion.

Abstrak  - Coal handling system berfungsi menangani pekerjaan mulai dari pembongkaran batu bara dari kapal/tongkang (unloading area) yang dipindahkan ke conveyor - conveyor, penimbunan/penyimpanan di stock area, ataupun pengisian ke bunker yang digunakan untuk pembakaran di boiler. Dalam proses pembongkaran tersebut tidak boleh terjadi penyumbatan / plugging terutama pada chute conveyor, maka dari itu diperlukan sensor proteksi untuk mencegah hal tersebut. Sensor lama yang digunakan yaitu berjenis Tilt Switch yang selama pemakaian tidak efektif karena banyak masalah sehingga dilakukan pemeliharaan, akibatnya dilakukan penggantian menggunakan sensor berjenis MBD (Microwave Beam Detector). Dari analisa setelah penggantian menggunakan sensor MBD, permasalahan penyumbatan chute berkurang dapat dilihat dari frekuensi pemeliharaan yang semakin berkurang.

This research was conducted to determine the quality of e-identity card (e-KTP) making services provided by UPTD Administrative Services Subdistrict Government Baki Regency, which is measured through several indicators of service quality, namely: direct evidence, reliability, responsiveness, assurance, empathy, and communication. In addition, this research was also conducted to determine the constraining factors of the quality of e-KTP services which can be seen from the facilities and infrastructure, service procedures, and the ability of employees. This study uses a qualitative descriptive approach with data collection obtained from observations and interviews. The results of this study indicate that the quality of service for making e-KTP in UPTD Baki Subdistrict has been maximized which can be seen from the guarantee of definite completion, adequate facilities and infrastructure, good attention and response from employees, high employee responsiveness and being able to provide reliable information. Researchers suggest that the UPTD Baki Subdistrict further improve the performance of its employees by conducting training for employees, adding facilities and infrastructure and also clarifying information about service procedures.

This study aims to analyze market sentiment towards Gold Financing Products (PKE) in Islamic banking before and after the Trump Effect phenomenon using the text mining method. This technique involves extracting information from unstructured text data to then be visualized and analyzed using the Natural Language Processing (NLP) approach and a RoBERTa-based classification model. Data was collected through web scraping from the X application with the help of API and processed using Google Colab. From a total of 4,074 tweets analyzed, it was found that the majority of public sentiment was neutral (59%), followed by negative (24%) and positive (17%). This reflects the public's tendency to discuss informatively rather than emotionally, although there was a spike in negative sentiment in certain periods indicating sensitivity to global dynamics, especially the impact of the Trump Effect on gold prices. The resulting wordcloud reveals key topics such as gold prices, buying and selling activities, and institutions such as Pegadaian Syariah and BSI. Terms such as "sharia", "riba", and "principles" emphasize the importance of Islamic financial values ​​in public perception. The results of this study indicate that text mining-based sentiment analysis is effective in capturing the dynamics of public opinion in real-time and can be a strategic tool for Islamic financial institutions in responding to market changes.

This study aims to analyze the revenue budget of PT Securindo Packatama Indonesia in 2020. The purpose of this study is to evaluate the suitability between the planned budget and the realization of the company's revenue and to identify factors that influence revenue fluctuations. The type of research used is descriptive research with a quantitative approach. The results of the study indicate significant revenue fluctuations throughout the year which are influenced by operational activities, the number of projects, and the efficiency of vehicle use. There is a difference between the budget and the realization of revenue which indicates the need for improvement in budget preparation. Thus, the company is advised to conduct regular budget evaluations, use more accurate historical data, and improve the accuracy of operational projections.    

This study aims to analyze the violation of professional accounting ethics in the case of PT Hanson International Tbk (MYRX), a public company involved in financial statement manipulation and bond default. The research adopts a qualitative approach using a case study method, based on secondary data from financial reports, media coverage, and official documents from financial authorities. The findings indicate serious breaches of ethical principles in the accounting profession, including integrity, objectivity, and professional competence. These violations had significant impacts on investor trust, capital market stability, and the reputation of the accounting profession. Moreover, the case highlights the urgent need for stronger supervision, reforms in financial reporting practices, and the integration of ethical values in accounting activities. This study contributes to a deeper understanding of the importance of ethics in maintaining transparency and accountability in financial reporting.

This study aims to determine the attitude of the company in the fields of cargo, shipping, and port operations at PT. Link Pacific Logistic. The company's attitude can be analyzed through the presentation of the company's profile in describing its objectives and vision to be achieved. The main attraction lies in the company's introduction, which plays an important role in establishing a network of professional collaboration. In this analysis, the researcher has identified three types of attitudes: Permanence – the extent to which the company perceives achievements and challenges as temporary or long-lasting. Pervasiveness – the extent to which the company considers an event to impact the entire operational aspects or only certain areas.Personalization – the extent to which the company attributes successes and challenges to internal or external factors. Based on the research findings, the company's profile presentation shows very significant results, with permanence being the most dominant aspect in describing the company's objectives. ocial media interaction (source credibility, source homophily, and content quality) positively impacts future intention.

SION (Sistem Informasi Online) ITB STIKOM Bali is a platform used by students and lecturers to support administrative and academic processes on campus. This research examines how the user experience (UX) level of SION can enhance the quality of services provided by the system. The purpose of this study is to measure user satisfaction with the user experience quality. The study uses the User Experience Questionnaire (UEQ) method, which includes six rating scales: attractiveness, clarity, efficiency, accuracy, stimulation, and novelty. The UEQ method also offers analytic tools that can be downloaded from its official website. Respondents in this study consisted of 75 people from a population of 248. The results of the UEQ analysis show positive evaluations across all aspects, with the following detailed scores: attractiveness received a score of 1.37, perspicuity 1.34, efficiency 1.16, dependability 1.21, stimulation 1.16, and novelty 0.87.

PT Astra International BMW Semarang is a company operating in the automotive sector with 3 supporting pillars, namely Sales, Aftersales and Spare Parts for BMW car units. The availability of spare parts is one of the determining factors for consumer satisfaction with the company because if the spare parts stock is empty it will cause consumer disappointment with the company. By using spare parts sales transaction data for the period January 2019 – June 2023, totaling 52,162, it will be utilized using data mining association techniques with the a priori algorithm and the eclat algorithm. The problem in this research is how to find out consumer purchasing patterns so that there is no shortage or empty stock of spare parts in the warehouse. This research aims to determine the association of spare parts purchasing patterns in sales transactions so that partman get recommendations in making decisions about providing priority types of spare parts. This research methodology uses CRISP-DM (Cross-Industry Standard Process for Data Mining) and is implemented with the R programming language with R studio software. In 3 trials using the Apriori algorithm and 3 trials with the Eclat algorithm, The result with the highest confidence appears in a combination of 3 itemsets with minimum support 0.01 and confidence 0.9, namely if a customer buys B11.42.8.593.186 (Set oil-filter Mx) and B83.12.5.A1A.683 (Washer Cleaner) then they will also buy Z99000000333 ( BMW Engine Oil) with confidence 1.00 or 100%. From the results of this association's analysis, it can be used as advice for the management of PT Astra International BMW Semarang in managing spare parts stock.

This research aims to analyze the impact of a new coil winding design in 3-phase induction motor on effiiciency, with the objective of creating a new 3-phase induction motor with improved performance. The research was conducted in the Electric Power System Laboratority, Department of Electrical Engineering, Padang Institute of Technology, and focuses solely on efficiency and its relationship to motor output power. The study involved redesigning the coils of a conventional 3-phase induction motor into a 6-phase coil design without altering the motor’s position, followed by testing both motors and comparing the efficiency of the conventional 3-phase induction motor with that of the redesigned 6-phase motor using the asymmetrical double methode. The result show that the efficiency of the 6-phase coil-designed motor increased compared to the conventional 3-phase induction motor.   importance of maintaining data security and implementing AI strategically to provide optimal benefits for consumers and business development.

Induction motors are components that convert electrical energy into mechanical energy and are very much in demand among industries, with low prices, sturdy construction and easy maintenance making these induction motors used for heavy industrial applications. However, the 3-phase induction motor at this time chooses a low torque and speed so that it affects the efficiency of the induction motor performance, which will decrease.  This study examines the effect of unsymmetrical 2-layer 6-phase induction motor design on the torque and speed of 3-phase induction motors using the finite element method. This research was conducted using Ansys software, which aims to see the magnetic flux density and the effect of 6-phase induction motor design on the torque and speed of a 3-phase induction motor using the finite element method. The induction motor that is the reference for this research has specifications of a 3-phase induction motor: 0.75 KW, 1 HP, 220/380 V, 3.5/2 A, 50 Hz, 1390 rpm. From the results of this study, the simulation results of the shape of the flux density ... which is designed with the parameters of a 3-phase induction motor with an unsymmetrical 6-phase 2-layer induction motor coil design.

This study aims to analyze the effect of company characteristics, audit opinion, capital structure, and ownership structure on company performance with Good Corporate Governance (GCG) as a moderating variable in the textile and garment industry listed on the Indonesia Stock Exchange (IDX) for the period 2018-2022. The results showed that company characteristics have a significant effect on audit opinion, ownership structure, and capital structure, but have no effect on company performance. Audit opinion, capital structure, and ownership structure also have no significant effect on company performance. In addition, GCG cannot moderate the relationship between these variables and company performance. This study emphasizes the importance of internal corporate management and evaluation of GCG implementation to improve the competitiveness of companies in facing global challenges.