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Developing effective communication strategies and appropriate collaboration in business networks is essential for creating competitive advantages, attracting investors, and expanding business market share. This study will discuss the direct impact of these variables on new business growth and the extent to which their integration can be a determining factor in new business success. Therefore, the researcher chose the research title "Business Network Communication and Collaboration Strategy in Developing New Businesses". The object of this research is the design of the new Mango Elixirs business unit. This research was conducted with the following aims: 1) to find out what kind of communication strategy for building a business network is carried out by Mango Elixirs, 2) to find out how effective the collaboration efforts made by Mango Elixirs are to strengthen business networks, and 3) to find out the communication strategy and collaboration can develop a new mango elixirs business.

Tourism is an economic activity or a series of coordinated activities aiming at meeting individual needs related to leisure and movement of people. Tourism sector is well known as the sector that has the largest contribution for foreign exchange in Indonesia. Development planning itself can be said as an alternative to the government in carrying out the task of realizing a change in certain areas to be able to catch up with other regions. The application of innovation aims to develop a renewal involving several stakeholders. Ecotourism is an innovation that can be applied in promoting development planning in a real context. The purpose of this research is to find out the scientific trend about development planning ecotourism by using bibliometric analysis through the VOSviewer application. This research uses qualitative research with a literature review approach. The results consist of mapping and clustering the results of previous research in the form of image visualization media with network and density mapping. Projections of development planning by creating ecotourism-based innovations have been carried out in various parts of the world. The existence of development and its linkage with the tourism sector makes a positive impact on people's lives, especially rural communities. Limitations of this study is that only correlations on the existence of development in the tourism sector are presented.

This research aims to develop and plan an effective business network for the lumpia beef business, especially in building a business network so that the lumpia beef business can continue to grow. This research uses qualitative research methods with a descriptive approach. The source of data used in this study is primary data. Data collection is done through observation and documentation. Observation in this study was carried out by observing consumer tastes and documentation was carried out by collecting data on effective business networks. The subject of this research is business development through business networks and the object is the Harumaki Beef business. Based on the results of research on the development of effective business networks for Harumaki Beef, it can be concluded that the development of Harumaki Beef can be done effectively if Harumaki Beef can be marketed online so that it can be more widely known by the public by strengthening its business network.

This research is motivated by an analysis of business networks, marketing and production in the business world which creates very tight competition. To respond to this, the author conducted business network analysis research, marketing and production carried out by the UMKM Roll Cake "On a Roll". The objectives that must be achieved in this research include: (1) to find out what products are produced by Roll Cake "On a Roll" (2) To find out which business networks are suitable for Roll Cake "On a Roll" products, (3 ) to find out the production process of Roll Cake "On a Roll", (4) to find out how the marketing process of Roll Cake "On a Roll", (5) to find out the financial reports of the Roll Cake "On a Roll" business. This research was conducted directly with the founder of Roll Cake "On a Roll". This research looks for business networks, marketing processes and production processes carried out by Roll Cake "On a Roll" entrepreneurs to make decisions regarding the development carried out from the product being marketed to the hands of consumers. This research uses qualitative methods, namely interviewing Roll Cake "On a Roll" entrepreneurs regarding business networks, marketing, production, sales and financial reports carried out to gain profits.

To keep up with the times that have entered the digitalization era, the need for internet use is increasingly needed in various human activities, including the application of an Internet of Things (IoT)-based smart office system which is one of the breakthroughs in IT technology. There are some features that can be done as well as beneficial impacts to support worker activities through an internet-based smart office system. IoT is one of the technologies needed by many industries, from several large companies and startups, they have changed their workflows that tend to be conventional into smart offices. Currently, there are a lot of worker activities that have been integrated with various kinds of electronic media and internet networks to help them in their work.

In the current era of globalization, many companies provide services, especially in the field of information and communication technology, one of which is PT. Applications Lintasarta. This company is a subsidiary of Indosat Ooredo Hutchison (IOH) which operates in the field of providing data communications networks, internet and IT services. This research aims to analyze the factors that influence employee performance at PT. Aplikanusa Lintasarta Medan. This research is a qualitative descriptive research, the subjects of this research are employees of PT. Aplikanusa Lintasarta Medan. Data collection was carried out using observation and interview techniques. The results of this research are that compensation, career path and employee image are influenced by employee performance. In procurement, performance indicators are close to the theory, namely quality, quantity, time, cost reduction and supervision. As well as bias conditions, the halo effect and the influence of the last impression still occur when evaluating employee performance. Suggestions that can be used to improve the quality of employee performance at PT Aplikanusa Lintasarta Medan are to create assessment indicators using numbers so that bias conditions, halo effects and the influence of last impressions do not occur in the assessment.

Speech acts are always closely related to communication with other people. Social interaction is not only carried out directly but can also be done through cyberspace such as social media which can be used as a place to communicate. As a forum for users to easily participate, share and exchange information and ideas in a virtual community and network. This can be used to interact and even to talk about the importance of guidance and counseling services at school. The aim of this research is to determine the locutionary speech acts in the Indonesian Ministry of Education and Culture's Smart Character YouTube videos regarding the topic of counseling guidance (BK). The method used in this research The type of approach used in this research is a qualitative descriptive method by listening, then transcribing the data, identifying, writing and concluding locutionary speech acts. The data source in this research is a talk show on the Indonesian Ministry of Education and Culture's Smart Character YouTube video with the theme BK Room. There are six episodes with the theme Bk room on the YouTube channel. After analyzing the Indonesian Ministry of Education and Culture's Smart Characteristic YouTube video, there are three types of speech acts, namely, statement locution speech acts (declarative), command locution speech acts (imperative), and question locution speech acts (interrogative). This research is expected to help the public to better understand verbal communication regarding each form of speech that is often uttered by someone in the form of locutionary speech act analysis.

Regency roads are local roads which do not include roads connecting the district capital to other districts, but their network is diverse as a link for local activities, namely connector roads between villages, between sub-districts, production center roads and environmental roads in residential areas. This research focuses on roads in Kaur Selatan District and Maje District, Kaur Regency, Bengkulu Province with a total length of 128.50 km with a total of 68 sections. There are several sub-district roads which are a road network that is integrated with national roads. In general, this road section is often used by various types of vehicles, from light to heavy vehicles. Utilization of roads that do not match their class and the influence of the weather climate in areas that are quite extreme result in landslides so that the road body becomes narrow and heavily damaged. As a result of damage to existing roads, community activities are hampered. The purpose of this research is to provide information to the Bengkulu Regency government in preparing priority planning, determining the type of pavement that is appropriate to the location of the road section and determining the calculation of the costs required. The results of research and calculations show that the cost required for road repairs is IDR. 70,788,844,000 for a period of 5 years. The priority scale consists of 17 sections with a cost of Rp. 57,541,204,000.

PLN is a monopoly trading company that sells electrical energy sources and manages all aspects of electricity in Indonesia, especially the Ponorogo area. In Ponorogo there is a company under the auspices of the Indonesian Electrical and Mechanical Contractors Association (AKLI) with the company name PT. Heroine of Eternal Blessing. In carrying out its work PT. Srikandi Berkah Abadi did not run smoothly, but there were many obstacles that disrupted the work process, one of which was the data input process. In this research we used a descriptive qualitative method where we carried out observations and direct interviews while conducting KKL within a period of 1 month. Based on the results of research that has been carried out previously, conclusions can be drawn, including: We carry out data processing activities on the implementation of connection work in people's homes, process data input on network maintenance and changes, and input employee hard disk data. While we were carrying out the KKL for 1 month, the problems we experienced were the ones we mentioned above, when inputting data in Microsoft Excel, it often had errors, crashes, and exited so that the data we were working on was lost and not saved.

During this pandemic, most of people’s activities are carried out through digital media. Both learning and working processes are using the video-conference platform, a platform deemed effective to facilitate the needs of distance communication. One of the limitations of using video-conference lies in difficulty in understanding emotional conditions based on solely camera video. Hence, speakers generally do not know their interlocutors’ feelings related to the materials being presented. Grounded on this issue, we examined a facial expressions-based emotion recognition tool. Micro expression is one of the micro-languages of communication. Machine learning model developed in this study was Deep Learning with Convolutional Neural Network (CNN). The library that was used was Keras, this was used to recognize micro expression pattern. Additionally, OpenCV was also used for the general face recognition process. Both libraries were operated using Python programming language. The result of the micro expression test involving thirty participants detected three types of facial expression, namely joy, sadness, and anger expression. However, face recognition applied in the present study still needed some improvements, especially for anger and sadness expression. With regard to joy expression, 89% of the expression were recognized. Based on the recorded data, it is necessary to improve the recordings criteria to obtain a clearer expression.

During this pandemic, most of people’s activities are carried out through digital media. Both learning and working processes are using the video-conference platform, a platform deemed effective to facilitate the needs of distance communication. One of the limitations of using video-conference lies in difficulty in understanding emotional conditions based on solely camera video. Hence, speakers generally do not know their interlocutors’ feelings related to the materials being presented. Grounded on this issue, we examined a facial expressions-based emotion recognition tool. Micro expression is one of the micro-languages of communication. Machine learning model developed in this study was Deep Learning with Convolutional Neural Network (CNN). The library that was used was Keras, this was used to recognize micro expression pattern. Additionally, OpenCV was also used for the general face recognition process. Both libraries were operated using Python programming language. The result of the micro expression test involving thirty participants detected three types of facial expression, namely joy, sadness, and anger expression. However, face recognition applied in the present study still needed some improvements, especially for anger and sadness expression. With regard to joy expression, 89% of the expression were recognized. Based on the recorded data, it is necessary to improve the recordings criteria to obtain a clearer expression.

Fresh or rotten meat is a different matter. Damage to the meat will produce a distorted odor, mucus, discoloration in certain areas and an undesirable taste due to the formation of metabolism. The odor is described as fishy, ​​rotten, containing sulfur and like ammonia. In this research, the author discusses a system for identifying the condition of meat based on the odor that arises from meat in three states, namely odorless odor, fresh odor and rotten odor. Fresh odor is taken from meat odor that is within 1 (one) day after being cut and rotten odor is taken from meat odor that is on the 2nd day. In this study, the test sample meat was placed in a closed container at room temperature for 2 days. Data was taken for 2 days from meat odors of known type. The sensor array consists of eight sensors made of conducting polymer material. The polymer materials used are silicon DC-200, PEG-20M, 0V-101, 0V-17, DEGA, PEG-200, PEG-1540, and PEG-6000 mixed with Carbon black. A two-layer artificial neural net consisting of eight input nodes and three output neurons, was trained using the Kohonen algorithm with a training process that was completed in 4 iterations. From 20 tests, 10 times exposure to steam from fresh odor and 10 times exposure to steam from rotten odor, carried out alternately, it was found that the system failed twice. Thus, the system success percentage reached 95 percent.

Online lectures have become the wrong option in our digital age. Therefore, in this online lecture procedure, the lecturer was required to be able to produce media and lecture approaches. A favorable learning environment, student participation, lecturer performance during instruction, lecture media, and method are a few of the variables that affect the attainment of lecture skills. This study aims to investigate and characterize the efforts made by lecturers to increase student engagement in online courses. This study used a case study approach to qualitative research as its methodology. The study's findings indicate that there are numerous challenges facing online lectures in the current digital era, including a dearth of engaged students, a lack of infrastructure and resources for lecturers and students, as well as network and Internet issues and data availability quotas. All of the lectures given in online classrooms by professors have an impact. The study's findings suggest that lecturers should try to be innovative and creative during the stages of preparing, implementing, and evaluating lectures online.

This research is motivated by business networks to expand professional networks, create opportunities and businesses or jobs. Achieving professional success relies heavily on having a network of quality contacts. Therefore, networking is key in work life. Breakfast in the morning has become a culture for Indonesian people. The breakfast culture has become an activity as evidenced by the diversity of sellers offering various types of food suitable for breakfast. Breakfast is an activity of eating and drinking between morning and 9 o'clock to meet nutritional needs. Based on the above, easy and practical rice innovation is needed. To respond to this, the author conducted marketing development strategy research on business networks carried out by the UMKM Nasi Gigit Candu. The aim of this research is to find out the marketing development strategy for the Nasi Gigit Candu business network. This research was conducted directly with the owner of Nasi Gigit Opium. This research looks for how the development of business network marketing is carried out by entrepreneurs of the Nasi Gigit Opium Business to decide on product marketing development starting from making breakfast products to products that are marketed into the hands of consumers. This research uses qualitative and quantitative methods, namely by direct interviews with Nasi Gigit Opdu MSME owners and financial management.

Website is a form of mass media that is published through internet network that can be accessed anywhere and anytime. To know the quality of a website it is necessary to measure, by doing measurement of the quality of a website can be known user satisfaction against the website. In this study using the WebQual 4.0 method refers to the three core dimensions representing the quality of a Website, namely usability, Information Quality, Service Interaction Quality. This research was conducted using a questionnaire the population of this study were Lintasarta employees, sample from this study 28 questionnaires. After the data is obtained, it is tested for validity and reliability. In this study, the regression analysis used the assumption test classical, and multiple linear analysis. Then for hypothesis testing F test and t test are used. The results obtained in this study are Usability Quality, Information Quality and Interaction quality have a positive effect on consumer satisfaction.

 Business has an important role in society. One of significant factor influencing the sustainability of a business is through business networks. With the establishment of business networks, information can be spread quickly (Wiharjo, 2012). Business networking is very important for business, including printing business. Printing is an attempt to mass produce writing and images using a printing press. (Nggaibo, 2021). Printing business is one of the fastest growing businesses. CV. Aslan Grafika is a printing business located in Banjaran, Bandung, West Java. The reason the author conducted Business Network research on CV. Aslan Grafika because author is interested in marketing strategies undertaken by CV. Aslan Grafika thus became the pioneer of printing in Banjaran area which provides many printing services. This research aims to determine the business network used in CV. Aslan Grafika and how the influence of this business network on the performance of printing, especially manufacture and sale of books du'a Hajj and umrah which is the main highlight of the author in this study. The type of research used is descriptive qualitative. The data source used consists of primary and secondary data. Data collection techniques are interview techniques. Data analysis techniques used are qualitative data analysis techniques.

The Digital Era has transformed the way humans interact and communicate through the development of information technology and social networks. Social media platforms such as Facebook, Instagram, and Twitter have reshaped the landscape of social interactions, enabling individuals to connect with people worldwide quickly and efficiently. This article conducts an in-depth analysis of the significant influence of social networks on social interactions in the digital era. Social networks facilitate the exchange of information, collaboration, and getting to know each other in various forms, ranging from text to visual and audiovisual content. In this context, there are two key elements in social interactions: social contact and communication. The Uses and Gratifications theory highlight the active role of social media users in choosing and utilizing these platforms to fulfill their needs for entertainment, information, personal identity, and social integration. Despite the convenience they offer, the use of social networks also presents significant challenges, such as privacy issues and social media addiction. It is crucial for individuals to develop a healthy self-awareness regarding their social media usage. Additionally, technology companies and policymakers must prioritize protecting users' privacy and creating an online environment that is healthy, safe, and inclusive for everyone. This analysis not only discusses negative impacts such as privacy and data security but also demonstrates the potential of social networks as powerful tools for building bridges between cultures, ideas, and people worldwide. Therefore, collaboration between society, governments, and corporations is essential in creating a positive and healthy online environment for all users.

By using literature studies/literature research, this article discusses how programming algorithms can be applied to the Internet of Things (IoT). The purpose of this article is to explain the function of algorithms in Internet of Things (IoT) programming and several examples. IoT is a concept where various devices and objects can connect and communicate with each other via the internet network. After data is collected through text study, content analysis techniques are used to analyze it. Literature studies show that programming algorithms must be applied to the Internet of Things to ensure efficient collection, analysis and use of data from connected objects. Programming algorithms are widely used for data prediction and analysis, network management, data collection and processing, security, and optimization of communication between IoT objects. Internet of Things developers and researchers should pay attention to the importance of implementing appropriate programming algorithms in their systems because these algorithms enable IoT to optimize the use of resources such as bandwidth, memory, and energy. Efficient algorithms enable smarter data analysis and better data security.

By using literature studies/literature research, this article discusses how programming algorithms can be applied to the Internet of Things (IoT). The purpose of this article is to explain the function of algorithms in Internet of Things (IoT) programming and several examples. IoT is a concept where various devices and objects can connect and communicate with each other via the internet network. After data is collected through text study, content analysis techniques are used to analyze it. Literature studies show that programming algorithms must be applied to the Internet of Things to ensure efficient collection, analysis and use of data from connected objects. Programming algorithms are widely used for data prediction and analysis, network management, data collection and processing, security, and optimization of communication between IoT objects. Internet of Things developers and researchers should pay attention to the importance of implementing appropriate programming algorithms in their systems because these algorithms enable IoT to optimize the use of resources such as bandwidth, memory, and energy. Efficient algorithms enable smarter data analysis and better data security.

Various factors make Muslim fashion continue to develop. The continued increase in demand for Muslim fashion, the growth of hijab communities such as Hijabers Community, Hijabers Mom, and others, as well as the holding of various bazaars, Muslim fashion shows, hijab class activities on campuses, companies, recitations, or social gatherings really support the growth of this business in Indonesia. Water. Purchasing decisions are an important thing to pay attention to because this will certainly be a consideration of what marketing strategy the company will carry out next. The company's success in influencing consumers in purchasing decisions is strongly supported by efforts to build communication with consumers by building brands for consumers with marketing strategies, as well as innovating new variants of a product. E-Commerce is a new concept which is usually described as the process of buying and selling goods or services on the Internet or the process of buying and selling or exchanging products, services and information via information networks including the internet. e-commerce sells products to consumers online. Simply put, E-commerce is creating, managing and expanding commercial relationships online Judging from the phenomenon above, researchers are interested in researching the influence of E-commerce on Muslim clothing purchasing decisions among female students in the city of Palembang. The number of samples in this research was 100 respondents, this research used a quantitative approach. The data collection technique in this research uses a questionnaire, and the sampling technique uses a non-probability-purposive sampling method. The results of this study show that e-commerce has no influence on the purchasing decisions of Muslim clothing for Palembang city students.