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Bank Syariah Indonesia (BSI) KCP Bengkong, Batam belum memiliki aplikasi yang mudah diakses untuk mengukur tingkat kepuasan nasabah, sehingga menyulitkan proses evaluasi kualitas layanan dan identifikasi aspek-aspek yang perlu ditingkatkan. Penelitian ini bertujuan untuk merancang dan mengimplementasikan sistem analisis kepuasan nasabah menggunakan metode Customer Satisfaction Index (CSI). Sistem dikembangkan dengan menggunakan model Waterfall dan dirancang menggunakan Unified Modeling Language (UML). Data dikumpulkan melalui penyebaran kuesioner kepada 30 responden dengan 15 item penilaian. Aplikasi yang dikembangkan diuji menggunakan metode black-box testing dan berhasil diimplementasikan dengan baik. Hasil penelitian menunjukkan nilai CSI sebesar 99,38 yang termasuk dalam kategori “Sangat Puas”. Sistem yang dibangun memberikan sarana yang efektif untuk mengukur tingkat kepuasan nasabah serta mendukung peningkatan kualitas layanan di BSI KCP Bengkong, Batam.

This study aims to examine the effect of Social Media Brand Engagement, Brand Trust, and Customer Satisfaction on Nescafé Brand Loyalty. A quantitative approach was employed using a explanatory research. Data were collected through questionnaires distributed to Nescafé consumers and analyzed using multiple linear regression with SPSS. The results indicate that Social Media Brand Engagement has a positive and significant effect on Nescafé Brand Loyalty, with a significance value of 0.001 (< 0.05). Customer Satisfaction also has a positive and significant effect on Nescafé Brand Loyalty, with a significance value of 0.001 (< 0.05). In contrast, Brand Trust does not have a significant effect on Nescafé Brand Loyalty, as indicated by a significance value of 0.506 (> 0.05). The coefficient of determination (R²) shows that Social Media Brand Engagement, Brand Trust, and Customer Satisfaction explain 61.2% of the variation in Nescafé Brand Loyalty, while the remaining 38.8% is influenced by other factors not included in this study. The findings suggest that consumer engagement on social media and customer satisfaction play important roles in strengthening brand loyalty toward Nescafé. Therefore, companies should focus on improving social media engagement strategies and maintaining customer satisfaction to enhance consumer loyalty.

The coffee shop industry has experienced substantial growth in recent years, creating intense competition that compels businesses to continuously enhance service performance in order to maintain customer satisfaction and market competitiveness. PT Jokopi Indonesia Group has encountered several service-related issues reflected in declining sales performance and recurring customer complaints, indicating the need for a comprehensive evaluation of service quality. This study aims to identify service attributes that fail to meet customer expectations and determine improvement priorities through the integration of the SERVQUAL and Kano methods. A quantitative approach was employed using questionnaire data collected from 50 customers who had prior experience with the company’s services. SERVQUAL was utilized to assess discrepancies between customer expectations and perceived service performance, while the Kano model was applied to classify attributes according to their contribution to customer satisfaction. The findings reveal that all evaluated attributes generated negative gap values, indicating that existing service performance has not yet reached the level expected by customers. The most critical gaps were identified in menu availability, air-conditioning and fan comfort, payment convenience, and straw availability. Kano classification further demonstrates that menu availability and thermal comfort facilities belong to the Must-Be category, meaning that failure to provide these attributes may trigger significant customer dissatisfaction. The integration of SERVQUAL and Kano highlights these attributes as the most urgent areas for improvement. The results provide managerial guidance for developing targeted service enhancement initiatives aimed at strengthening customer satisfaction, retention, and competitive advantage.

Penelitian ini bertujuan untuk merancang dan membangun perangkat yang mampu membaca, mengukur, serta mengirimkan data mengenai tegangan, arus, daya, frekuensi, dan energi secara real-time melalui aplikasi Blynk Internet of Things. Perangkat ini memungkinkan data ditampilkan pada smartphone dan layar komputer dari lokasi mana pun, dan direncanakan untuk digunakan di gardu distribusi milik PT PLN (Persero) ULP Darmo Permai. Alat ini berguna sebagai langkah tindakan korektif ketika terjadi ketidakseimbangan beban, mempermudah pengawasan dalam proses penyeimbangan, serta sebagai acuan untuk pemindahan fasa saat diperlukan. Selain itu, alat ini juga berfungsi sebagai langkah preventif untuk menjaga keseimbangan beban gardu dan sebagai referensi jika ada penambahan pelanggan baru. Metode penelitian ini melibatkan penggunaan mikrokontroler ESP32 sebagai Modbus master untuk mengatur sistem. Mikrokontroler ini menerima data digital melalui RS485 dari Power Meter Toky DS9L/7L yang mengukur tegangan dan arus dari PHB-TR. Data tersebut kemudian dikirimkan ke Cloud Blynk Internet of Things melalui nodemcu ESP32 dengan bantuan modem Wi-Fi router. Data yang diproses meliputi tegangan fasa netral RN, SN, TN (220-230 Volt), tegangan fasa-fasa RS, ST, RT (380-400 Volt), arus maksimal 400 Ampere sesuai spesifikasi sensor arus CT 400/5 A, energi (kWh), daya (Watt) untuk fasa R, S, T, daya total, serta frekuensi 50 Hz. Semua informasi ini ditampilkan pada antarmuka pengguna (UI) di smartphone dan PC.

Permasalahan Rute Kendaraan (Vehicle Routing Problem) bertujuan untuk meminimalkan biaya transportasi. Rute adalah serangkaian urutan dari depo menuju beberapa pelanggan kemudian kembali lagi ke depo. Adapun permasalahan normalnya dimodelkan dalam bentuk graf dengan bobot. Karena setiap ruas jalan memiliki jarak/biaya yang harus dikeluarkan ketika menempuh ruas tersebut maka diperlukan penyelesaian agar meminimalkan biaya transportasi ketika menempuh ruas-ruas jalan tersebut dengan tetap melayani semua pelanggan yang ada. Penelitian ini mengembangkan algoritma metaheuristik, khususnya algoritma genetika yang diimprovisasi dengan Route-Based Crossover dan 2-opt untuk meminimalkan total jarak pengiriman. Hasilnya menunjukkan solusi yang 3% lebih buruk dibandingkan algoritma koloni semut, namun 7% lebih baik daripada pencarian tabu.

Program Pengabdian kepada Masyarakat ini bertujuan meningkatkan kualitas pelayanan pelanggan pada usaha jasa pengetikan Metronet di Kecamatan Ambulu, Kabupaten Jember, melalui optimalisasi tiga fitur produktivitas Microsoft Office: autocorrect, autoformat, dan template dokumen. Tim pelaksana memakai metode riset tindakan partisipatif dengan menggabungkan metode ini dengan pelatihan dan bimbingan. Pelaksanaan program menunjukkan hasil yang jelas pada semua parameter evaluasi. Kemampuan karyawan meningkat sekitar 93,2%. Waktu penyelesaian dokumen berkurang rata-rata 58%. Tingkat kesalahan juga turun menjadi 1,2%. Kapasitas layanan bertambah 40%, dan adanya pelanggan baru dari kecamatan lain yang dapat dilayani. Ditemukan bahwa perbaikan kecil ini dengan tetap terfokus pada perangkat lunak perkantoran sehari-hari mampu mempertajam kualitas pelayanan usaha mikro dan memperluas jangkauan pasarnya dalam waktu relatif singkat.

The rapid growth of digital commerce has encouraged companies to integrate digital and physical marketing channels to create seamless and consistent customer experiences. This study aims to analyze the role of integrated marketing channels through omnichannel strategies, the utilization of Artificial intelligence (AI), and their impact on customer experience in the context of digital commerce. The study employs a Systematic literature review (SLR) approach by examining relevant scholarly articles related to omnichannel marketing, AI technologies, and customer experience. The findings indicate that integrated marketing channels supported by AI enhance service personalization, customer engagement, operational efficiency, and the quality of interactions between companies and customers. Furthermore, the implementation of omnichannel strategies contributes to higher customer satisfaction and loyalty by providing a more connected experience across multiple customer touchpoints. However, the implementation of integrated marketing channels still faces several challenges, including fragmented channel integration, technological complexity, high investment requirements, and concerns regarding customer data privacy and security. Therefore, effective management of integrated marketing channels is essential for improving customer experience while creating sustainable competitive advantages for companies in an increasingly dynamic digital era.

The development of the digital economy has driven increased customer interaction through online chat services, making customer satisfaction a key factor in business success. Response speed and chat service quality are two important aspects in shaping the customer experience, but previous research has tended to examine them separately. This study aims to analyze the influence of online chat services and response speed on customer satisfaction partially and simultaneously. The method used is a qualitative approach with a literature review of 12 scientific articles from 2020–2025 obtained from academic databases such as Google Scholar and SINTA. The analysis technique used is descriptive-critical through the identification, comparison, and synthesis of previous research findings. The results show that online chat services have a positive effect on customer satisfaction, primarily through interaction quality such as information accuracy, ease of use, and problem-solving ability. Response speed has also proven to be an important determinant, where a fast response significantly increases customer satisfaction. However, speed without quality has the potential to decrease satisfaction. The discussion shows that the two variables have a complementary and inseparable relationship. Online chat services function as a medium for interaction, while response speed is a quality attribute that determines the effectiveness of the service. Therefore, the integration of both in one model is the main contribution of this research in filling the literature gap, especially in the context of e-commerce in Indonesia.

The background of this research is the fluctuation in the number of customers at Karunia Printing Digital Services in Maumere throughout 2025, as well as the existence of customer complaints regarding service quality and product quality. These issues indicate that customer loyalty has not yet been fully optimized. This research aimed to determine the influence of service quality and product quality on customer loyalty at Karunia Printing Digital Services in Maumere. This research used a quantitative approach using a survey method. The population of this research consisted of all customers of Karunia Printing Digital Services in Maumere. Data were collected through questionnaires, observations, interviews, and documentation. The data analysis techniques included descriptive analysis, validity testing, reliability testing, multiple linear regression analysis, t-test, F-test, and coefficient of determination (R²) using SPSS software. The results of the research indicated that service quality had a positive and significant effect on customer loyalty. Product quality also had a positive and significant effect on customer loyalty. Furthermore, service quality and product quality simultaneously had a positive and significant effect on customer loyalty at Karunia Printing Digital Services in Maumere. These findings suggested that the better the service quality and product quality provided, the higher the level of customer loyalty. Keywords: Service Quality, Product Quality, Customer Loyalty

Abstrack This study aimed to: (1) identify the description of social media marketing, price, and customer satisfaction; (2) analyze the influence of social media marketing and price on customer satisfaction both partially and simultaneously. The research method used was quantitative with an associative approach. Data were obtained through the distribution of questionnaires to customers and were analyzed using multiple linear regression with the assistance of SPSS 26. The population of this study was customers of Junior Audio Sound System, with a total of 72 respondents obtained through purposive sampling technique. The results of the study indicated that partially the social media marketing variable (X1) had a significant effect on customer satisfaction (Y). The price variable (X2) also had a significant effect on customer satisfaction (Y). Simultaneously, the social media marketing and price variables had a significant effect on customer satisfaction with Fcount > Ftable and a significance value of 0.000 < 0.05. The magnitude of the contribution of the social media marketing and price variables to customer satisfaction was 26.4%, while the remaining 73.6% was influenced by other factors outside the research variables.   Keywords: Social Media Marketing, Price, Customer Satisfaction

Fierce competition in the tourist bus industry, especially in the price segment, requires companies to understand the key factors that influence customer satisfaction. This study aims to analyze the influence of service quality, price, and brand image on customer satisfaction of PO Jurus Elang in Semarang City through a quantitative approach with an explanatory survey involving 136 respondents selected by purposive sampling. Data were obtained from a Likert scale questionnaire and analyzed using SEM-PLS via SmartPLS. The results of the analysis indicate that service quality and price have a positive but insignificant influence, while brand image has a positive and significant influence on customer satisfaction, with an R-square value of 0.721, reflecting good model strength. These findings emphasize that brand image is a major factor in increasing customer satisfaction, while service quality and price are more likely to be viewed as minimum standards by customers.

This study aims to improve subcontractor safety performance through strengthening governance systems, leading safety indicators, capability building, and performance monitoring at PT Putra Perkasa Abadi (PPA) Jobsite Borneo Indobara (BIB). The research was motivated by the increasing trend of subcontractor incidents during Quarter 1 to Quarter 3 of 2025, where seven incidents occurred and exceeded the company threshold. In addition, subcontractor performance evaluation scores remained below the target threshold of 70, while customer satisfaction scores in subcontractor management decreased from 8.45 to 7.58. The study applied a continuous improvement approach using Quality Control Circle (QCC), Pareto analysis, Nominal Group Technique (NGT), and root cause analysis with the Ishikawa method. Improvement initiatives were implemented through four strategic pillars: strengthening governance, reinforcing leading indicators, capability building, and integrated dashboard monitoring. The implementation results showed significant improvements in subcontractor safety management. The subcontractor incident frequency rate was reduced to zero incidents in Quarter 4 of 2025, subcontractor performance evaluation increased above the threshold to 70.81, and customer satisfaction scores improved to 8.55. The findings indicate that structured governance strengthening combined with real-time monitoring and subcontractor engagement can significantly improve mining safety performance and stakeholder trust.

Social media has evolved into a significant platform where consumers freely express their opinions, experiences, and levels of satisfaction regarding various products, including those offered by Micro, Small, and Medium Enterprises (MSMEs). The comments and reviews shared by customers on these platforms contain diverse sentiments that can serve as valuable indicators of how consumers perceive product quality. Understanding these sentiments is crucial for MSME owners, as it allows them to evaluate their products and adapt to market expectations more effectively. This study aims to analyze customer sentiment toward MSME products on social media by utilizing the Naïve Bayes algorithm, a widely used classification method in text mining. The data used in this research consist of customer comments collected from various social media platforms. The research process involves several stages, including data collection, manual labeling of sentiments, text preprocessing (such as tokenization, case folding, and stopword removal), and splitting the dataset into training and testing subsets. Subsequently, the classification process is carried out using the Naïve Bayes algorithm to categorize sentiments into positive, negative, and neutral classes. The results of this study demonstrate that the Naïve Bayes method is effective in classifying customer sentiments with a satisfactory level of accuracy. These findings provide a comprehensive overview of consumer perceptions regarding the quality of MSME products. Furthermore, this research is expected to assist MSME business owners in understanding customer feedback more systematically and using it as a basis for improving product quality and enhancing customer satisfaction in a competitive digital marketplace.

This study aims to determine the effect of price and service quality on customer satisfaction at Nusa Bunga Salon Maumere. The research employed a quantitative approach using descriptive and verificative methods. The independent variables in this study were price (X1) and service quality (X2), while the dependent variable was customer satisfaction (Y). The population consisted of all customers of Nusa Bunga Salon Maumere who visited and utilized salon services during 2025, totaling 1,392 customers. A sample of 100 respondents was determined using the Slovin formula and purposive sampling technique. Data were collected through questionnaires, interviews, documentation, and literature studies. Data analysis was conducted using validity tests, reliability tests, descriptive analysis, classical assumption tests, multiple linear regression analysis, coefficient of determination (R²), F-test, and t-test with the assistance of SPSS version 23. The results showed that, partially, price had a positive and significant effect on customer satisfaction, with a t-value of 2.803 and a significance value of 0.004. Service quality also had a positive and significant effect on customer satisfaction, with a t-value of 3.336 and a significance value of 0.001. Simultaneously, price and service quality had a positive and significant effect on customer satisfaction, with an F-value of 6.733 and a significance value of 0.002. The coefficient of determination indicated that price and service quality contributed 12.2% to customer satisfaction, while the remaining 87.8% was influenced by other factors outside the scope of this study. Based on these findings, it is recommended that Nusa Bunga Salon Maumere continuously improve its service quality and maintain affordable pricing to enhance customer satisfaction.

This study aims to analyze the influence of Perceived Value and product quality on customer satisfaction at Es Kristal Frostiq in Maumere. This study employs an explanatory quantitative approach with 110 customers of Es Kristal Frostiq as respondents, selected using purposive sampling. Data were collected through questionnaires, interviews, observation, and documentation. Data analysis used multiple linear regression complemented by validity, reliability, classical assumption tests, and hypothesis testing (t-test and F-test) using SPSS software. The results indicate that Perceived Value and product quality have a positive and significant effect on customer satisfaction, both partially and simultaneously (F-test sig. = 0.000 < 0.05). The coefficient of determination (R²) of 0.659 shows that both variables explain 65.9% of the variation in customer satisfaction. These findings imply that improving perceived value and product quality are key factors in strengthening customer satisfaction and the competitiveness of Es Kristal Frostiq in Maumere.

The Karanggawang, Demak location, service quality, and facilities offered by Jaya Abadi Motor Workshop are all examined in this study in connection to customer satisfaction. The study used quantitative methods to choose hundreds of volunteers. SPSS version 26 was utilized for the analysis, which employed multiple linear regression. Service quality, location, and resources all affect customer satisfaction, the results showed. An Adjusted R2 score of 0.440 indicates that these three factors explain 44% of the variation in customer satisfaction.

This study aims to identify the level of customer loyalty and analyze the influence of service quality and customer satisfaction on customer loyalty at Euphoria Store. This research is motivated by the increasing competition in the cosmetics and skincare retail industry, which requires business owners to provide excellent service quality and create customer satisfaction in order to enhance customer loyalty. This study employed a quantitative approach using a survey method. The population consisted of Euphoria Store customers, with a sample of 100 respondents selected through purposive sampling. Data were collected through questionnaires and analyzed using multiple linear regression with the assistance of SPSS version 23. Hypothesis testing was conducted using the t-test, F-test, and coefficient of determination (R²). The results of the study indicate that service quality has a positive and significant effect on customer loyalty at Euphoria Store. Customer satisfaction also has a positive and significant effect on customer loyalty. Simultaneously, service quality and customer satisfaction have a positive and significant effect on customer loyalty at Euphoria Store. The coefficient of determination (R²) of 0.647 indicates that 64.7% of the variation in customer loyalty can be explained by service quality and customer satisfaction, while the remaining 35.3% is influenced by other factors outside the scope of this study. Based on the findings, it can be concluded that service quality and customer satisfaction are important factors in enhancing customer loyalty. Therefore, Euphoria Store should continuously improve its service quality, maintain product availability, and pay close attention to customer satisfaction in order to strengthen customer loyalty and achieve long-term business success.

The coffee shop industry in Indonesia is experiencing rapid growth that requires business owners to optimize data-driven strategies. This study aims to analyze customer preferences at Semanis Coffee and Resto using data mining methods  to support more effective business decision-making. The method used is Market Basket Analysis with the FP-Growth algorithm for association rule mining and the K-Means algorithm for customer segmentation. The research data consists of 672 sales transactions during the March-May 2025 period. The results of the association analysis with a minimum support of 0.004 and a minimum confidence of 0.2 resulted in five valid rules with a lift ratio above 1. The strongest rule is the combination of Americano→Milk Choco with a confidence of 42.9% and an elevator ratio of 5.229, indicating a strong linkage between products. The most popular products are Milk Choco (10.8%) and Americano (8.5%). Customer segmentation analysis identified three clusters: Cluster 0 (Loyal Customers) 80% with high frequency but low transaction value; Cluster 1 (Occasional Customers) 10% with low activity; and Cluster 2 (Large Buyers) 10% with high transaction value but low frequency. This study concludes that product bundling strategies, loyalty programs, reactivation campaigns, and premium services can be applied to increase the effectiveness of coffee shop businesses.

This study aims to determine and analyze the effect of digital marketing and customer trust on customer satisfaction at the Jastipyane.mof courier/jastip service business in Maumere. The background of this research is based on the rapid growth of the personal shopper (jastip) business, which increasingly relies on digital technology for marketing activities, and the critical importance of building customer trust in online transactions. The problems identified at Jastipyane.mof include sub-optimal digital marketing management, slow response to customer inquiries, and a satisfaction performance gap discovered during pre-survey. This study utilizes a quantitative approach with a survey method. The population consists of all 1,990 customers of Jastipyane.mof in Maumere. The sampling technique employed was purposive sampling, resulting in 95 respondents calculated via the Slovin formula. Data analysis techniques include descriptive statistics, validity and reliability testing, classical assumption tests, multiple linear regression analysis, t-test, F-test, and the coefficient of determination administered via SPSS. The results demonstrate that digital marketing has a positive and significant partial effect on customer satisfaction. Customer trust also exerts a positive and significant partial impact on customer satisfaction. Simultaneously, digital marketing and customer trust have a positive and significant combined effect on customer satisfaction at Jastipyane.mof in Maumere.

The rapid advancement of digital technology has compelled business owners to leverage social media as a core marketing and communication tool. Facebook remains a powerful platform to sustain customer relationships through targeted product information delivery and intensive online interactions. Concurrently, customer testimonials serve as critical social proof that directly alters consumer perceptions and enhances organizational trust. This study aims to empirically examine the influence of Facebook social media marketing and customer testimonials on customer trust at Dealer Raja Jaya Motor Maumere. Operating within a quantitative survey framework, data were gathered through structured questionnaires distributed to 100 verified customers and processed via multiple linear regression using SPSS. The findings demonstrate that both Facebook social media and customer testimonials exert a positive and statistically significant impact on customer trust, both partially and simultaneously.