Garuda - Garba Rujukan Digital

Literasi Navigasi Digital: Memanfaatkan Google Maps Untuk Meningkatkan Visibilitas UMKM Desa Banyubiru: Pengabdian Dyah Maya Nihayah; Agus Hermanto; Prasetyo Ari Bowo; Annis Nurfitriana Nihayah; Jeane Talakua; Fredericho Mego Sundoro; Putri Patria Kusuma
Jurnal Pengabdian Masyarakat dan Riset Pendidikan Vol. 4 No. 1 (2025): Jurnal Pengabdian Masyarakat dan Riset Pendidikan Volume 4 Nomor 1 (Juli 2025 -
Publisher : Lembaga Penelitian dan Pengabdian Masyarakat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/jerkin.v4i1.2412

The knowledge of Micro, Small, and Medium Enterprises (MSMEs) in Banyubiru Village in utilizing digital technology has an impact on the visibility of their businesses in an increasingly competitive market. Google Maps is one platform that can be used to effectively increase the reach of business information and promotion, but its use is still not optimal among MSME players. This community service activity aims to improve digital navigation literacy through training on the use of Google Maps for MSMEs in Banyubiru Village. The implementation methods include socialization, technical training on creating and managing business profiles on Google Maps, direct mentoring, and evaluation of platform utilization. The activity was attended by 30 SME operators with diverse business backgrounds. The results showed an increase in participants' skills in creating business profiles, uploading product photos, updating information, and responding to customer reviews. Post-activity evaluations showed an increase in the online reach of business information, as indicated by an increase in the number of searches and visits to business locations. In conclusion, digital navigation literacy based on Google Maps can be an effective strategy to support promotion and expand the market for SMEs in rural areas.

Navigating Advancements in Economic Forecasting Under Crisis : A Bibliometrix Analysis of Global Research Trends Kamelia Indah Sari; Fredericho Mego Sundoro
International Journal of Economics, Management and Accounting Vol. 1 No. 1 (2024): March : International Journal of Economics, Management and Accounting
Publisher : Asosiasi Riset Ekonomi dan Akuntansi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/ijema.v1i1.1059

Economic forecasting is becoming increasingly important year after year, especially during crises such as the pandemic of COVID-19 and the Russia-Ukraine war. Its development can be seen from the use of basic statistical models to the increasingly widespread use of machine learning technology. Economic forecasting plays an important role in helping to formulate policies and is also a reliable tool for researchers in dealing with uncertainty. Global crises, such as inflationary pressures due to the pandemic and supply chain disruptions from the Russia-Ukraine conflict, have prompted increased research in this field in an effort to anticipate economic shocks and emphasize the urgency of forecasting to prepare strategies for dealing with future uncertainty. This literature review uses the Scopus database with 2561 publications from 2020 to 2025, analyzed using R Studio with a bibliometrix approach (specifically biblioshiny) and VOSviewer to map relevant thematic connections. This analysis shows that economic forecasting is greatly influenced by market uncertainty and geopolitical factors, and at the same time influences public policy formulation and financial stability. Research contributions from Indonesia are still limited, with only 40 documents, thus emphasizing the need to strengthen economic forecasting studies in Indonesia to support monetary policy and national financial stability.

Navigating Advancements in Economic Forecasting Under Crisis: A Bibliometrix Analysis of Global Research Trends Kamelia Indah Sari; Fredericho Mego Sundoro
Proceeding of the International Conference on Management, Entrepreneurship, and Business Vol. 2 No. 2 (2025): Proceeding of the International Conference on Management, Entrepreneurship, and
Publisher : Asosiasi Riset Ilmu Manajemen Kewirausahaan dan Bisnis Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/icmeb.v2i2.349

Economic forecasting is becoming increasingly important year after year, especially during crises such as the pandemic of COVID-19 and the Russia-Ukraine war. Its development can be seen from the use of basic statistical models to the increasingly widespread use of machine learning technology. Economic forecasting plays an important role in helping to formulate policies and is also a reliable tool for researchers in dealing with uncertainty. Global crises, such as inflationary pressures due to the pandemic and supply chain disruptions from the Russia-Ukraine conflict, have prompted increased research in this field in an effort to anticipate economic shocks and emphasize the urgency of forecasting to prepare strategies for dealing with future uncertainty. This literature review uses the Scopus database with 2561 publications from 2020 to 2025, analyzed using R Studio with a bibliometrix approach (specifically biblioshiny) and VOSviewer to map relevant thematic connections. This analysis shows that economic forecasting is greatly influenced by market uncertainty and geopolitical factors, and at the same time influences public policy formulation and financial stability. Research contributions from Indonesia are still limited, with only 40 documents, thus emphasizing the need to strengthen economic forecasting studies in Indonesia to support monetary policy and national financial stability.

The Analysis of The Effects of Earning Per Share, Price Earning Ratio and Dividend Per Share on The Share Prices of Manufacturing Companies Fredericho Mego Sundoro; Yuyun Anggraini; Adhi Pradiptya
Economics and Business Solutions Journal Vol. 7 No. 1 (2023): Economics and Business Solutions Journal
Publisher : Universitas Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26623/ebsj.v7i1.6836

The research analyzed the effect of earnings per share, price earnings ratio, and dividend per share on the share prices of manufacturing companies listed on the Indonesian Stock Exchange 2018-2021. The hypothesis of this study is earning per share, price earnings ratio, and dividend per share positive effect on the share prices of manufacturing companies listed on the Indonesia stock exchange in 2018-2021. The number of samples in this study was 60 manufacturing companies listed on the Indonesia Stock Exchange in 2018-2021 using the sampling technique of purposive sampling. The data collection method used documentation, and the data analysis used the SPSS which included classic assumption test, multiple linear regression analysis, and hypothesis testing using t-test, F and R test2.. The results of the study show as follows: the independent variable of earning per share has a positive effect on the share prices; the price earnings ratio has a positive effect on the share prices; and the dividend per share does not have an effect on the share prices. Based on the values of the coefficient of determination, the test results show an Adjusted R square value of 0.266. It means that a change in the share price variable of 26.6% can be explained using the three independent variables (Earning Per Share (EPS), Price Earnings Ratio (PER), and Dividend Per Share (DPS). Then, the remaining 73.4% is explained by the other variables out of the independent variables such as net interest margin, net profit margin, and debt to asset ratio.

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