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All Journal MATRIK: JURNAL MANAJEMEN, STRATEGI BISNIS, DAN KEWIRAUSAHAAN Journal of Natural Sciences and Mathematics Research Journal Of Nursing Practice IJIES (International Journal of Innovation in Enterprise System) JOBS (Jurnal Of Business Studies) Applied Technology and Computing Science Journal International Journal of Economics, Business and Accounting Research (IJEBAR) JANAKA : JURNAL PENGABDIAN MASYARAKAT KEWIRAUSAHAAN INDONESIA Komatika: Jurnal Pengabdian Kepada Masyarakat Prosiding Seminar Nasional Pengabdian Kepada Masyarakat National Conference for Ummah Jurnal Akademik Pengabdian Masyarakat
Endang Sulistiyani
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Agriculture, Biological Sciences & Forestry Humanities Biochemistry, Genetics & Molecular Biology Chemistry Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Library & Information Science Materials Science & Nanotechnology Mathematics Medicine & Pharmacology Nursing Physics Public Health Social Sciences

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PENGUATAN LITERASI DIGITAL MELALUI PEMBUATAN MEDIA PEMBELAJARAN BERBASIS VIDEO ANIMASI MENGGUNAKAN ARTIFICIAL INTELLIGENCE BAGI GURU SDN 01 TUGUREJO, KOTA SEMARANG Ana Putri Nastiti; Isnaini Nurkhayati; Winarto Winarto; Jumi Jumi; Sri Marhaeni; Endang Sulistiyani; Jati Nugroho; Mona Inayah Pratiwi
JURNAL AKADEMIK PENGABDIAN MASYARAKAT Vol. 3 No. 3 (2025): MEI
Publisher : CV. KAMPUS AKADEMIK PUBLISING

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61722/japm.v3i3.3931

Abstract

Primary Community Service at SDN 01 Tugurejo, Tugurejo District, Semarang City aims to provide solutions to social and humanities problems that impact performance, efficiency and work productivity faced by teachers at SDN 01 Tugurejo in order to improve the quality of learning. The problem faced by teachers at SDN 01 Tugurejo, Semarang City is that they have not yet maximized good digital literacy skills. In particular, teachers have not been able to apply technology optimally in creating learning media that is relevant to students' characters and the latest technological developments. The application of Artificial Intelligence through the creation of animated video-based learning media for teachers at SDN 01 Tugurejo will have an impact on strengthening digital literacy for teachers. In an independent curriculum, teachers have the freedom to adapt learning methods, materials and media to suit the needs and characteristics of students. Thus, teachers who have good digital literacy will support the creation of an interactive and quality learning process. The method used is to provide socialization, training and assistance in creating animated video-based learning media using Artificial Intelligence. Thus, teachers who have good digital literacy will support the creation of an interactive and quality learning process.
Social Proof as A Leveraging Variable For Purchasing Decisions Endang Sulistiyani
Matrik : Jurnal Manajemen, Strategi Bisnis, dan Kewirausahaan Volume 19 Nomor 1 Tahun 2025
Publisher : Faculty of Economics and Business Udayana University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24843/MATRIK:JMBK.2025.v19.i01.p04

Abstract

This study aims to analyze the influence of affiliate marketing and online customer reviews on social proof and purchasing decisions on TikTok. Data collection method by distributing questionnaires to TikTok users in Central Java. The data collection technique uses quota sampling and purposive sampling method. The data analysis method uses structural Equation Modelling, with the AMOS 25 program. The results of the analysis show that the direct and indirect influence between affiliate marketing, online customer reviews on social proof and purchase decisions shows positive and significant results. Social proof is able to strengthen the relationship of the indirect influence of affiliate marketing and online customer reviews on purchasing decisions. This research combines Social Influence Theory and Theory of Planned Behaviour as a bridge to digital strategies in making purchasing decisions. TikTok needs to increase partnerships with affiliate marketers who have a good reputation and great influence in the target market. Keywords: affiliate marketing, online customer reviews, purchase decisions, social influence theory, theory of planned behaviour
Maternal and Child Health Using the Digitalization of the MCH Handbook Paciran Primary Health Care Rizki Amalia; Endang Sulistiyani; Retno Aulia Vinarti; Adistha Eka Noveyani; Lutfi Agus Salim; Diah Indriani
Journal Of Nursing Practice Vol. 8 No. 2 (2025): January
Publisher : Universitas STRADA Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30994/jnp.v8i2.488

Abstract

Background: Puskesmas is a Community Health Center which is a health service facility that aims to carry out public health efforts and first level individual care. Puskesmas prioritize promotive and preventive efforts to achieve optimal public health status. In the current industrial era 4.0, almost all activities have been digitized, the puskesmas should also have started to be digitized. Purpose: The data collection system at the Paciran Health Center still uses a manual system and patients often do not carry Maternal and Child Health (MCH) books. This research aims to accelerate the performance of the midwives at the Puskesmas so that it does not take up a lot of time and effort. And make it easier for the public so they don't have to carry the MCH handbook and see the examination results without opening the MCH handbook. Methods: The method of data collection used by the author in this research is observation, interviews and literature study. With the Java programming language with Netbeans IDE 8.0.2 as an editor and MySQL as a database. Results: The result of this research is that the data collection process becomes faster and more regular. Then the process of making reports can also be faster and neater. And also the patients are helped because they can know their progress, even though they do not carry or do not have the MCH book. Conclusion: This research aims to speed up the performance of midwives at the Paciran Community Health Center by digitizing the data recording system which was previously still manual. By using the Java programming language and MySQL database, this system allows the recording and reporting process to be faster and more structured. Apart from that, patients also find it easy to access examination results without having to carry a KIA book. The research results show that this digitalization increases the efficiency of services at the Community Health Center and makes it easier to access information for patients.
Influence of Functional Convenience, Celebrity Endorsment, and Self-Esteem on Impulsion Purchasing : Study on Somethinc Product Consumers in Semarang City Maydista Lestari; Endang Sulistiyani; Rif'ah Dwi Astuti
JOBS (Jurnal Of Business Studies) Vol. 10 No. 2 (2024): Desember 2024
Publisher : Politeknik Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

This study was conducted to determine the effect of Functional Convenience, Celebrity Endorsment, and Self-Esteem on Impulsive Buying studies on consumers of Somethinc products in Semarang City. The independent variables used are Functional Convenience (X1), Celebrity Endorsment (X2), and Self-Esteem (X3), while Impulsive Buying (Y) is the dependent variable. This study involved 162 respondents as a sample of Somethinc product consumers in Semarang City. Nonprobability sampling method focusing on purposive sampling was applied to select samples with the criteria of having used Somethinc products for themselves. Questionnaires, literature review, and interviews were used for data collection. The majority of respondents were women aged 21 to 25 years old who were students with an income of <Rp 2,000,000. Data were analyzed using the statistical testing program SPSS 27.0. Multiple linear regression analysis resulted in the equation Y = 20.396α + 0.555X1 + 0.084X2 + 0.132X3 + e. Data were analyzed using the SPSS 27.0 statistical testing program. The findings of this study suggest that Functional Convenience has a significant effect on Impulsive Buying, then Self-Esteem also has a significant effect on Impulsive Buying, then Celebrity Endorsment has no effect on Impulsive Buying. The coefficient of determination results in the effect of Functional Convenience, Celebrity Endorsment, and Self-Esteem of 47.1% on Impulsive Buying, while the other 52.9% is a variable not examined in this research model. Penelitian ini dilaksanakan guna mengetahui pengaruh Kenyamanan Fungsional, Dukungan Selebriti, dan Self-Esteem terhadap Pembelian Impulsif studi pada konsumen produk Somethinc di Kota Semarang. Variabel independen yang digunakan adalah Kenyamanan Fungsional (KF), Dukungan Selebriti (DS), dan Self-Esteem (SE), sedangakan Pembelian Impulsif (PI) sebagai variabel dependen. Penelitian ini melibatkan 162 responden sebagai sampel konsumen produk Somethinc di Kota Semarang. Metode nonprobability sampling yang berfokus pada purposive sampling diterapkan guna memilih sampel yang berkriteria telah memakai produk Somethinc untuk diri sendiri. Kuesioner, studi Pustaka, dan wawancara dipergunakan guna pengumpulan data. Mayoritas responden ialah perempuan berusia 21 hingga 25 tahun yang merupakan pelajar/mahasiswa dengan penghasilan < Rp 2.000.000. Data analisis menggunakan program pengujian statistik SPSS 27.0. Analisis regresi linear berganda menghsilkan persamaan Y = 20,396α + 0,555X1 + 0,084X2 + 0,132X3 + e. Temuan penelitian ini mengemukakan Kenyamanan Fungsional berpengaruh signifikan pada Pembelian Impulsif, selanjutnya Self-Esteem juga berpengaruh signifikan pada Pembelian Impulsif, kemudian Dukungan Selebriti tidak berpengaruh pada Pembelian Impulsif. Hasil koefisien determinasi menghasilkan pengaruh Kenyamanan Fungsional, Dukungan Selebriti, dan Self-Esteem sebesar 47,1% pada Pembelian Impulsif, sementara 52,9% lainnya merupakan variabel yang tidak diteliti pada model penelitian ini.
Analysis of Online Learning Readiness Level at Universitas Nahdlatul Ulama Surabaya (UNUSA) Endang Sulistiyani; Rizqi Putri Nourma Budiarti; Muhammad Aidir Rafly
International Journal of Innovation in Enterprise System Vol. 5 No. 1 (2021): International Journal of Innovation in Enterprise System
Publisher : School of Industrial and System Engineering, Telkom University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25124/ijies.v5i01.102

Abstract

Since a few years ago, blended learning has been implemented by UNUSA. However, until now, theimplementation is still not optimal. Various obstacles, such as network access, availability ofdevices, and unclear rules in implementing online learning, still occur. Readiness analysis is one ofthe critical success in online learning implementation. The main objective of this research is toconduct online learning readiness studies at UNUSA. This research was carried out in three mainstages: the preparation of measurement instruments, data collection, and analysis of readiness level.The method used is descriptive research method with quantitative and qualitative approaches. TheSeakow & Samson e-learning readiness model with five dimensions of readiness, namely policy,technology, financial, human resource, and infrastructure, is used in this study. The result of thisstudy shows that that UNUSA's level of readiness in implementing online learning is in the Readycategory, requiring improvement to implement it with a readiness score of 3.68. The dimension withthe highest score is technology, which is 3.84. Meanwhile, infrastructure and policy scored 3.77 and3.72, respectively. The human resources dimension has a readiness score of 3.6. In contrast, thedimension with the lowest score is the financial dimension.
Evaluation of Information Quality Using ISO/IEC 25010:2011 (Case Research: Menu Harianku Application) Devaldi Akbar Suryadi; Endang Sulistiyani
International Journal of Innovation in Enterprise System Vol. 6 No. 2 (2022): International Journal of Innovation in Enterprise System
Publisher : School of Industrial and System Engineering, Telkom University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25124/ijies.v6i02.167

Abstract

This research aims to determine the product quality of the Menu Harianku application and recommendimproving the quality of the application based on the ISO/IEC 25010:2011 model with 6characteristics in product quality dimensions namely Functional Suitability, Performance Efficiency,Usability, Reliability, Security, and Portability. ISO/IEC 25010:2011 standard was chosen because ofits very suitable characteristics for measuring software quality. Starts with identifying the problem,Design quality, Testing performance quality, and making application improvement recommendations.According to technical characteristics of Functional Suitability, of 97 test cases, there were 11 failed.Performance efficiency of Mobile and Desktop devices scores 86% of the improvement criteria.Reliability Hosting is only accessible in Asian (Japan) and European locations (all) for no more than20 VUs. Security with Medium-level vulnerabilities. The portability of the application runs well on 6Desktop & Mobile browsers. According to users the characteristics of Functional Suitability with apercentage of 84.1%, Performance efficiency at 84%, and Usability at 83.5%. As for the applicationrecommendations related to the results of application quality testing that can be used in improving thequality of the Menu Harianku application.
Comparative study of artificial Neural Network and Kalman Filter models for blood demand forecasting at PMI Surabaya Sofia, Ainin; Teguh Herlambang; Rizqi Putri Nourma Budiarti; Endang Sulistiyani
Journal of Natural Sciences and Mathematics Research Vol. 11 No. 2 (2025): December
Publisher : Faculty of Science and Technology, Universitas Islam Negeri Walisongo Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21580/jnsmr.v11i2.28540

Abstract

Blood plays a vital role in human health, making the need for donors and transfusions crucial. Currently, the Indonesian Red Cross (PMI) in Surabaya faces a balance issue between blood supply and demand. To address this, a blood demand forecasting model has been created at the PMI using ANN with a 4% error rate. The Kalman Filter algorithm is known to significantly reduce prediction errors from the prediction and correction process, while an ANN is considered capable of handling data complexity and nonlinearity. Therefore, this study aims to analyze the performance of the ANN and Kalman Filter models and compare the model performance results to determine the model with the best performance level. The modelling uses the CRISP-DM method, which starts from data understanding, data preparation, data modelling, model evaluation, and forecasting. The results of this study indicate that the Kalman Filter model successfully minimizes errors compared to the ANN prediction results, achieving a model accuracy level reaching 93.1%. These results demonstrate that the Kalman Filter model can significantly reduce prediction errors in the prediction and correction process, making it more optimal than the ANN model in forecasting blood demand at the PMI in Surabaya.
Co-Authors Adistha Eka Noveyani Agus Suratno Akas Yekti Pulih Asih Ana Putri Nastiti Andrea Devani Sekareza Budiarti, Rizqi Putri Nourma Devaldi Akbar Suryadi Diah Indriani Dike Bayu Magfira, Dike Bayu Fajar Annas Susanto Ima Kurniastuti Inayah Inayah Isnaini Nurkhayati Jati Nugroho Jumi Jumi Kuuni Ulfah Naila El Muna Lutfi Agus Salim M Aidir Rafly M Izzudin Farhans Mahdum Maki Zamzam Maydista Lestari Mohammad Baidhowi Alwi Mona Inayah Pratiwi Muhammad Aidir Rafly Putut Haribowo Retno Aulia Vinarti Rif'ah Dwi Astuti Rita Sari Rizki Amalia Rizki Andikawati Fitriasari Sofia, Ainin Sri Marhaeni Teguh Herlambang Tri Deviasari Wulan Winarto Winarto