Internet Users In Indonesia Research Articles

UPAYA PENINGKATAN NILAI EKONOMIS PRODUK UMKM MELALUI SOSIALISASI BISNIS DIGITAL DI DESA CILANGKARA

Technological developments, especially in digital business, have had a positive impact on Micro, Small and Medium Enterprises (MSMEs) in rural areas, such as Cilangkara Village. Even though the growth trend of internet users in Indonesia shows a significant increase, observations and interviews show that the majority of village residents have not shown sufficient interest in entrepreneurship, especially in facing current developments. In this context, the community service program by Islamic University 45 Bekasi students aims to provide education and increase village residents' interest and skills in entrepreneurship, especially by implementing digital business. Implementation methods, such as observation, outreach and training, are expected to stimulate interest and provide support to village residents, including providing business tools to MSMEs that are not yet running. Digital business education is the key to increasing the competitiveness of MSMEs and driving economic potential at the local level, as is being pursued through community service activities in Cilangkara Village. The latest evaluation shows an improvement in the quality of life of the community, especially among MSMEs in Cilangkara Village, through increasing operational capabilities of digital applications for analysis, marketing and product production. It is hoped that the success of this program will be a sustainable first step to improve and produce MSMEs that are able to compete and develop along with the times.

Marketing Communication Strategy for yeoboseyo.id: a Case Study in K-Pop Fashion Brand

The continuous growth of internet users in Indonesia since 2012 has had an impact, particularly on the use of social media. In 2023, 60.4% of the population in Indonesia was using social media. Instagram and TikTok are widely used for social networking and business marketing, including by the clothing brand Yeoboseyo.id. This study aims to examine the marketing communication strategies of Yeoboseyo.id from September 2023 to February 2024, using a quasi-qualitative method with semi-structured interviews and triangulation techniques for data validity. The results show that Yeoboseyo.id utilizes a marketing communication mix, including advertising on social media, conducting sales promotions by providing vouchers, freebies, and giveaways, and implementing public relations to maintain brand reputation. They also engage in personal selling to build consumer trust and direct marketing through one-step and two-step approaches to increase sales and maintain relationships with consumers. The conclusion of this study is that Yeoboseyo.id has effectively implemented its marketing communication strategy; however, there are still some areas that are not fully optimized, including the use of below-the-line promotion channels and the implementation of personal selling.

Implementasi Backup Koneksi Jaringan Menggunakan Metode Failover MikroTik pada PT Tiga Kawan Sertifikasi

The internet plays a vital role in supporting business operations in companies or organizations by accelerating the flow of information and enabling real-time connections. According to a report by We Are Social, the number of internet users in Indonesia reached 213 million in January 2023, accounting for about 77% of the total population. However, despite the numerous ISPs in Indonesia, not all internet services are affordable or of high quality, and some areas remain inaccessible to providers using fiber optic connections. PT. Tiga Kawan Sertifikasi, a company engaged in legal services in Tangerang, faces challenges with its internet connection as it relies solely on a single provider, Orbit from Telkomsel. Issues arise when the modem signal frequently drops due to the use of SIM card media instead of fiber optic cables. The proposed solution is to add another provider as an alternative and implement a failover method on a Mikrotik router to ensure a stable connection.

Identify Issues That Influence Customer Satisfaction Using Sentiment Analysis and Topic Modeling

The development of internet users in Indonesia continues to increase over time, this makes customers comfortable with digital transactions. Trinusa Travelindo Company or better known as Traveloka, which is engaged in the online travel agent sector, has proven its extraordinary achievement, namely becoming the E-tourism application that is ranked 1st most visited by the Indonesian people in 2022. However, these results are also directly proportional to the number of negative reviews created in the application review itself. This study aims to identify what issues affect customer satisfaction with topic modelling. This study uses the text mining method derived from the results of Traveloka application user reviews. The data source obtained in this study is secondary data by using the Traveloka application review data crawling technique with samples from January to May. Based on sentiment analysis, positive sentiment is more dominant (50.38%) compared to negative sentiment (49.62%). User reviews are grouped based on the results of sentiment analysis, then Topic Modelling is carried out to find out what issues affect customer satisfaction. The topic modelling of the data used is Latent Dirichlet Allocation (LDA) and Latent Semantic Analysis (LSA) with the help of phyton 6.3. to find out what words and topics often appear or as factors that influence customer satisfaction. The most influential negative issues include the refund and payment process, pay later services, and the ordering experience which is considered complicated. On the other hand, issues that contribute positively to customer satisfaction include product quality, service quality, and promos and discounts. This is reinforced by the results of topic modelling which show that these aspects are often the main concerns in user reviews on the Google Play store. Thus, this study suggests that in order to increase customer satisfaction, Traveloka needs to focus on improving the quality of service, products, and offering more attractive promos, while simplifying the refund process and ordering experience in the application, some still say it is complicated.

Digital Platforms and the Financial Feasibility of Halal Frozen Food Marketing: A Feasibility Assessment

The Indonesian government issued a national policy of large-scale social restrictions in 2020 to 2021. At the same time, there was an increase in internet users in Indonesia which led to an increase in the use of the Tiktok mobile application. Both incidents made halal frozen food producers in Bogor market their products using mobile applications. Until now, there has been no research that calculates the financial feasibility of marketing halal frozen food using mobile applications. This study aims to determine the financial feasibility of marketing halal frozen food produced by PT XYZ using the TikTok mobile application. The financial feasibility analysis in this study uses a quantitative method by calculating income and assessing investment feasibility based on cash flow in the form of an R/C ratio. Researchers conducted observations and interviews as data collection techniques. The research location and respondents were selected purposively. The types of research data used are primary data and secondary data. Based on the results of the study, the net profit received by the company increased by IDR 118,714,448 with an R/C ratio of 2.52, meaning that every cost incurred of IDR 1 will get an income of IDR 2.52. From the explanation above, the results of this study prove that marketing of halal frozen food at PT XYZ Bogor using mobile applications is feasible and profitable. The implication of this study is to recommend halal frozen food producers in countries with increasing internet usage trends to market using mobile applications in order to obtain maximum profit.

The Role of Brand Image in Mediating the Influence of Brand Ambassador and Electronic Word of Mouth on Purchase Intention on Product Scarlett Whitening

In the era of globalization and modernization, the growth of internet users in Indonesia reflects significant changes in people's lifestyles, including their beauty and skin care needs. Skincare has become an essential part of the beauty routine, heavily influenced by societal perceptions of beauty. This research focuses on Scarlett Whitening, a local beauty brand, which experienced a decline in sales starting in July 2023. The method used in this research is a causal method with structural equation modeling (SEM). This study aims to investigate the impact of electronic word-of-mouth (e-WOM) and brand ambassadors on purchase intentions. The results show that while brand ambassadors do not significantly influence purchase intention, e-WOM does. Furthermore, brand image acts as a mediator between e-WOM and purchase intention, but does not mediate the influence of brand ambassadors.

Analisis Pengukuran Kepuasan Konsumen dengan Pendekatan Customer Satisfaction Indeks Pada E-Commerce di Jakarta

The development of e-commerce is currently increasingly rapid, marked by the increasing number of internet users in Indonesia. Customer satisfaction and trust are the most dominant problems in every business unit operating in the service sector, but the process of achieving customer satisfaction is not easy. Because many other factors can influence the achievement of this level of customer satisfaction. Through this research, the author aims to determine the level of customer satisfaction, namely by using the Customer Satisfaction Index method. Based on the research results, it is known that female consumers, consumers aged 23-28 years, and private employees are the dominant respondents. The level of consumer satisfaction with e-commerce based on CSI is 97.12%.

Analysis of the Influence of Information Quality, Information Quantity, Information Credibility and Satisfaction mediated by Information Usefulness and Information Adoption and its effect on Purchase Intention on TikTok social media on fashion products in Jakarta

The development of technology affects people's life patterns in the digital and modern direction which has an impact on the development of the internet. The number of internet users in Indonesia continues to increase from year to year, which affects the development of the number of social media users in Indonesia. Traditional WOM promotions have been replaced by promotions through eWOM through social media. TikTok has become one of the trending social media platforms with fashion product content in its application as a promotional medium. This study aims to find out how the influence of eWOM consisting of information quality, information quantity, information credibility, information usefulness, information adoption, and satisfaction variables on TikTok social media on the purchase intention of consumers of fashion products in Jakarta. This research was conducted using a quantitative method. The number of samples in this study was 178 respondents. The sampling technique in this study is nonprobability with the judgemental sampling method. The data collection technique used a questionnaire with a likert scale of 1-5. Data analysis using the Structural Equation Model (SEM) method using the SmartPLS 4.0 data processing application.

Analisis Sentimen Komentar Youtube Terhadap Food Vlogger Dengan Menggunakan Metode Naïve Bayes

YouTube is currently the media most frequently accessed by internet users in Indonesia with a percentage of 88%, then WhatsApp at 83%, Facebook at 81%, and Instagram at 80%. One of the themes that is often uploaded is about food reviews and people who upload them are called food vloggers. Food vloggers influence millennial audiences, namely before and after food consumption. The purpose of food review videos is to provide reviews of food in terms of taste, price, quality, atmosphere, etc. Other people also have the freedom to comment on food review videos. This research aims to analyze public sentiment towards food vloggers using data from YouTube social media. This research aims to analyze sentiment using the Naïve Bayes algorithm method for food vloggers used to analyze sentiment with an accuracy value of 44.8276%, precision of 16% or 0.16%, recall of 100% or 1.00%, and f1-score of 27% or 0.27%. This sentiment analysis can be a reference in understanding food vlogger preferences.

The Effect of Dimension of Triangular Theory of Love on Brand Loyalty in the Mobile Telecommunication Industry

In the ever-growing digital era, internet access has become a basic need in everyday life. With the increasing number of internet users in Indonesia, so more data packages from cellular operator brands are appearing. Overall, customers who engage in expressive brand relationships can easily demonstrate brand loyalty attitudes and behaviour. Customer loyalty to a brand does not only occur because of continuous satisfaction, because customer satisfaction alone is not enough to guarantee a long-term relationship. Therefore, this research examines the customer's emotional perspective, especially love which is used as a mechanism to strengthen unwavering loyalty. One theory that discusses love is the Triangular Theory of Love put forward by Sternberg in 1986 which states that there are three elements in love, namely intimacy, commitment and passion. Data processed by 204 data package users from 4 brands of cellular operators in 6 major cities on the island of Java in Indonesia, using non-probability sampling techniques with a purposive sampling method, and analysed using Structural Equation Modelling (SEM) based on Partial Least Square (PLS) via the SmartPLS 4.1 application.

Penegakan Hukum pada Kejahatan Cyber Crime Produsen yang Mempekerjakan Endorsement untuk Mempromosikan Kosmetika Ilegal Melalui Instagram

Internet users in Indonesia are increasing, in 2021 the development of Internet use is increasing rapidly as many as 7,000 samples come from Indonesia and all provinces in Indonesia and is growing from 8.9% to 73.7%, equivalent to 196.7 million internet users. Internet use is mostly used for social media such as Instagram. However, not all Instagram users can use Instagram wisely, so many cases of cyber crime still occur in Indonesia. So this research will discuss how law enforcement deals with cybercrime by manufacturers who employ endorsements to promote illegal cosmetics via Instagram. Using normative research methods activities that will examine internal aspects (to solve problems that exist within) positive law. For cases that occur, law enforcement can be applied such as imposing criminal sanctions as explained in the Law of the Republic of Indonesia Number 19 of 2016 concerning Amendments to Law Number 11 of 2008 concerning Information and Electronic Transactions Article 9 in conjunction with Article 62 paragraph 1 of the Law Law of the Republic of Indonesia Number 8 of 1999 concerning Consumer Protection which reads Business actors who violate the provisions referred to in Article 8, Article 9, Article 9, Article 10, Article 13 paragraph (2), Article 15, Article 17 paragraph (1) letter a , letter b, letter c, letter e, paragraph (2), and article 18 shall be punished with imprisonment for a maximum of 5 (five) years or a fine of up to Rp. 2,000,000,000.00 (two billion rupiah). Suggestions that consumers are obliged to report if a case like this occurs so that the implementation in law enforcement will run smoother and be eradicated quickly, similar cases will no longer exist.

Implementation of Ensemble Machine Learning Classifier and Synthetic Minority Oversampling Technique for Sentiment Analysis of Sustainable Development Goals in Indonesia

As part of the Sustainable Development Goals (SDGs), governments worldwide have committed to improving people's lives to improve the quality of life for all, including the 17 such goals that were agreed upon in 2015 to benefit the human race as a whole. It would be interesting to see how society responds to the SDGs after approximately half of them have been achieved. This public response was analyzed in terms of sentiment. Within the total number of internet users in Indonesia, there are 18.45 million Twitter users. The platform enables anyone to write about anything they are experiencing in their lives, such as what is happening in their environment, what is happening in their education system, what is happening in the food industry, how people feel, and many more. The platform enables anyone to write about anything they are experiencing in their lives, such as what is happening in their environment, what is happening in their education system, what is happening in the food industry, how people feel, and many more. To model the data collected, the researchers used Ensemble Machine Learning Classifiers (EMLC) to model the data by using a machine learning classifier that uses machine learning techniques. The best model in this study is EMLC-Stacking with a data splitting of 80:20 and using SMOTE, which obtains an accuracy of 91%. This accuracy results from a 5% increase compared to when not using SMOTE. From 15,698 tweets, this research found that 47% were positive sentiments, 28% were negative sentiments, and 25% were neutral sentiments. The results that we measured offer hope that there will be a positive trend in the journey of the SDGs until 2030 if these findings are true.

Optimalisasi Marketing Channel U-Fat dan Pemberdayaan Perempuan Pada Fatayat NU Kecamatan Sirampog Brebes

The growth of internet users in Indonesia has increased significantly from year to year, reaching more than 175.4 million users in January 2020, which is dominated by internet users via mobile devices rather than desktop PCs, namely 124% of the Indonesian population. Therefore, it is urgent for every company to integrate digital marketing into all levels of society. Fatayat NU is an organization for women which was formed and is under the auspices of Nahdlatul Ulama. Friends of Fatayat NU Sirampog sub-district has members, around 70% of whom own businesses. However, it cannot be managed optimally, especially in the use of technology by utilizing digital marketing. Therefore, assistance is needed in marketing products digitally by utilizing information technology so that people can further optimize the marketing methods that will be used. The aim of this PKM activity is to improve the economy and empower women by optimizing smartphones through optimizing omni channel marketing. The results of this activity increase participants' knowledge about digital marketing methods, so that they can improve the economy.

Determining the Factors that Influence e-Marketplace Selection from Seller’s Perspective Using a Binary Logistic Regression Model

The rapid development of information and communication technology influences changes in aspects of life in the economic sector. The application of information and communication technology supports business development. The development of the internet has become a technology that makes business activities such as marketing and sales easier. The growth of internet users in Indonesia reached 78% of the total population. E-commerce users in Indonesia reach 34.10% of all business people in Indonesia. One place to sell online is through e-marketplace. Many e-marketplaces require sellers to select e-marketplaces as a place to sell their products online. Each e-marketplace has different characteristics, so you must consider many factors when choosing an e-marketplace. In this research, it is known that two factors are formed based on factor analysis, namely the Product Quality Factor, the Service and Quality Factor, and the System Factor. In addition, the market selection model was determined using binary logistic regression analysis. The model formed in this research is the e-marketplace selection model Tokopedia, Shopee, and Lazada. Based on the results of the feasibility model using binary logistic regression, it produces an overall e-marketplace selection model with an accuracy level of 76.13%. This evaluation model can be used by sellers who want to choose a market that suits the products offered to increase profits.

Analisis Pengalaman Pengguna Pada Aplikasi Dompet Digital X Menggunakan User Experience Questionnaire

Digital wallet is an application that resides on a smartphone that can be used for transactions without using money cash. Referring to a survey conducted by Global Consumer insight (PwC, 2019), “Along with the growing number of active mobile internet users in Indonesia, the number of mobile payment users has also experienced growth.” One of the factors that influence user interest in continuing to use an application is the user's perception or experience. The purpose of this research is to determine the level of user experience aspects in the current X digital wallet, as well as determine aspects of the user experience that need to be improved using the User Experience Questionnaire (UEQ). “The population of this research is X digital wallet users using simple random sampling technique. Data analysis was performed using the UEQ Data Analysis Tool. The results of this study were found that the perspicuity aspect got a value of 1.25 or above average. The attractiveness, efficiency, dependability, and stimulation and novelty aspects respectively scored 0.90, 1.01 and 0.80, 0.89 and 0.52 or below average.” The recommendations in this study are expected to become one of the considerations for X digital wallet stakeholders to improve the X user experience. Keywords : Digital Wallet, User Experience, UEQ, UEQ Data Analysis Tool

Unraveling the Effect of Marketing Mix 7P on Consumer Purchasing Decisions: A Study of Gerai Daging Online Store at PT. XYZ

Nowadays the internet presence allows the exchange of information and communication flows that are not limited by time and space. The increasing number of internet users in Indonesia has led to a new trend globally, which is the online shopping trend. PT XYZ (Persero) is one of Indonesia's state-owned enterprises engaged in the livestock sector. PT XYZ has a retail store that sells livestock products, both fresh dan processed. A marketing mix is a tool that can be used by companies to achieve marketing goals in target markets. The objective of this study is to determine the influence of marketing mix 7p (product, price, promotion, people, process, physical evidence, and place) on consumer purchase decisions at the Gerai Daging online store XYZ. This research used 55 respondents with a purposive sampling technique. The research was conducted by distributing questionnaires to respondents. Data were analyzed using SPSS Version 25 software with multiple regression analysis. The results show that marketing mix 7P which consists of 7 attributes, namely product, price, promotion, people, process, physical evidence, and place, didn't show any influence on purchasing decisions at Gerai Daging online store PT. XYZ either simultaneously or partially.

IMPLEMENTASI WEB SCRAPING UNTUK PENGUMPULAN DATA MEDIA SOSIAL LINGKUP PEMERINTAH PROVINSI NTB

The number of internet users in Indonesia has recently increased, currently reaching around 62.1% of the total population. The prevalence of social media use has provided benefits for many stakeholders to be involved in the socialization and promotion of their products and activities. Information regarding the latest government programs and activities is published through the official website of the West Nusa Tenggara Provincial Government and the official pages of each office within the West Nusa Tenggara Provincial Government. The potential of social media needs to be maximized in order to disseminate government programs and activities to the community. Social media offers governments the potential to increase democratic participation by encouraging the public to have a voice in policymaking, working with the public to improve services, gathering ideas, and increasing transparency. This research seeks to apply web scraping techniques to collect data with the aim of monitoring social media performance and identifying factors that are closely related to the level of response elicited by a social media post. The research results show that on average a post on the official page of the West Nusa Tenggara Provincial Government gets around 114.9 likes, 5.1 comments and 11.6 shares. Importantly, one of the important factors that influences the number of likes a post receives is the time it is published. Optimal publication times for the official pages of the West Nusa Tenggara Provincial Government are observed between 06.00-16.00 and 18.00-21.00. By looking closely at social media performance and identifying these influencing factors, social media managers are ready to gain invaluable insights to improve performance by precision and efficacy.

Analysis of Factors That Influence Brand Awareness and Purchasing Decisions on Online Marketplace

The expansion of digital technology and internet users in Indonesia parallels the expansion of marketplaces where consumers may purchase online. In recent years, Shopee, a marketplace app that offers a variety of products and services, has grown tremendously. However, in an increasingly competitive industry, Understanding the elements that drive brand awareness and consumer purchase decisions is critical. The study collected and analyzed data using quantitative research techniques. Data from the survey were analyzed using statistical software SEM PLS using the help of smart pls 4.0. Brand ambassador, brand personality, and price is substantial and has a positive impact on brand awareness and purchasing decisions. As Shopee at the top-of-mind level of consumers, it makes them continue to keep consumers in their minds and will continue to use Shopee to make product purchases.

EFEKTIVITAS GAYA PEMASARAN BAKAR-BAKAR DUIT OLEH E-COMMERCE DI INDONESIA

This study aims to determine the effectiveness of marketing strategies using the style of burning money by e-commerce to achieve the goals of increasing data, people’s purchasing power using e-commerce, and changing the behaviour of Indonesian people towards digitalization. The literature study method was used to conduct this research due to limited time and resources to conduct case studies or collect data through interviews with e-commerce visitors. The results of the study show the effectiveness of the money-burning marketing style in increasing the number of e-commerce users, increasing the amount of annual e-commerce revenue, and increasing the percentage of activity in the use of e-commerce by internet users in Indonesia.

Comparison of distance-based spatial weight matrix in modeling Internet signal strengths in Tasikmalaya regency using logistic spatial autoregressive model

To ensure that national development objectives in rural areas are achieved evenly and sustainably, the Government of Indonesia applies the principles of Village Sustainable Development Goals (SDGs), which are derivative programs of SDGs. One of the indicators in measuring the progress and independence of villages in Indonesia is the availability of cellular phone signal access. Cellular phone signals have a vital role because most internet users in Indonesia rely on mobile data connections from cellular operators. However, the signal emitted by a provider tower has a limited range. According to the data of the Developing Villages Index in 2022, Tasikmalaya Regency is one of the regencies with the highest number of villages that have weak signal strength in West Java Province, Indonesia. To examine the effect of distance and height difference between the placement of the nearest provider tower and the location of the Village Office on the internet signal strength category in Tasikmalaya Regency, Logistic Spatial Autoregressive modeling is needed. In this study, the Bayesian Markov-Chain Monte Carlo estimation method was used, because it has advantages in flexibility and computational efficiency. In spatial modeling, there is a spatial weight matrix determined by the researcher’s understanding of the observed phenomenon. The variable observed in this study is signal strength, which has an orientation at a distance. However, there are several types of distance-based spatial weight matrices, such as K-nearest neighbor, radial distance, power distance, and exponential distance. To determine the most suitable distance-based spatial weight matrix in internet signal strength modeling, the four (4) weight matrices were compared based on the goodness of fit measure models, calculated from the confusion matrix. The results of the analysis showed that the radial distance weight matrix with a threshold distance of d = 1.7km is the most suitable use of distance-based spatial weight matrix in internet signal modeling in Tasikmalaya Regency. The weight matrix exerted a positive spatial autocorrelation effect of 57.141%. In addition, the height difference factor between the location of the provider tower with the location of the village office has a greater effect than the horizontal distance.