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All Journal JIKSI (Jurnal Ilmu Komputer dan Sistem Informasi) Computatio : Journal of Computer Science and Information Systems Jurnal Komunikasi Jurnal Pensil : Pendidikan Teknik Sipil Building of Informatics, Technology and Science Jurnal Muara Ilmu Ekonomi dan Bisnis Jurnal Teknologi Dan Sistem Informasi Bisnis Infotech: Journal of Technology Information Humantech : Jurnal Ilmiah Multidisiplin Indonesia Innovative: Journal Of Social Science Research International Journal of Application on Economics and Business
Dyah Erny Herwindiati
Faculty of Information Technolgy Tarumanagara University
Religion Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Mathematics Public Health Social Sciences Other

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Instagram vs TikTok: Which Platform is More Effective for Enhancing SMEs Performance? Soelaiman, Lydiawati; Herwindiati, Dyah Erny; Payangan, Otto Randa
Jurnal Komunikasi Vol. 15 No. 2 (2023): Jurnal Komunikasi
Publisher : Fakultas Ilmu Komunikasi Universitas Tarumanagara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24912/jk.v15i2.23671

Abstract

Digital transformation makes social media one of the infrastructures that introduces effective performance changes for MSMEs. Referring to the concept of the research model built based on the Technology Organization Environment (TOE) theory, tThere are three basic factors that need to be considered by MSMEs in adopting social media, namely compatibility, cost-effectiveness and interactivity. This study aims to compare the effects of compatibility, cost-effectiveness, and interactivity on SME performance between the social media platforms Instagram and TikTok. A comparative study was utilized in this research to examine the impact of variables on the Instagram and TikTok social media platforms. The sample consisted of 200 SMEs was selected through purposive sampling. The data were analyzed using Partial Least Squares Multigroup Analysis (PLS-MGA). The study's results indicate that compatibility and interactivity significantly influence the adoption of both Instagram and TikTok social media platforms. On the other hand, the cost-effectiveness variable only affects the adoption of the TikTok social media platform but does not significantly affect the adoption of Instagram. This study also found that only interactivity significantly differs in adopting social media platforms between Instagram and TikTok. The results showed that Instagram social media provides greater interactivity than TikTok. The other two variables, compatibility, and cost-effectiveness do not significantly differ. Furthermore, the study also found a positive influence of using both Instagram and TikTok social media platforms on SMEs' performance.
SAVING BEHAVIOR OF THE MILLENNIAL GENERATION IN JAKARTA Pamungkas, Ary Satria; Herwindiati, Dyah Erny; Taba, Muhammad Idrus
International Journal of Application on Economics and Business Vol. 3 No. 1 (2025): February 2025
Publisher : Graduate Program of Universitas Tarumanagara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24912/ijaeb.v3i1.1-7

Abstract

Indonesian people's interest in saving has decreased to only 15.4% as of May 2024. Bank Indonesia invites the public, especially the millennial generation, to get into the habit of saving. This study aims to determine the effect of peer influence, socialization of parents and self-control on saving behavior. The number of samples in this study was 240 people from the millennial generation who already have income in Jakarta. This study used Structural Equation Modelling (SEM) for data analysis. The results of this study show that peer influence, socialization of parents and self-control have a positive effect on saving behavior.
ANALISIS HUBUNGAN MATA KULIAH KOMPUTASI DASAR DENGAN IPK MAHASISWA TEKNIK INFORMATIKA MENGGUNAKAN SUPPORT VECTOR REGRESSION Perdana, Novario Jaya; Ferdinand, Kelvin; Gozali, Carisha Puspa; Herwindiati, Dyah Erny
Infotech: Journal of Technology Information Vol 11, No 1 (2025): JUNI
Publisher : ISTEK WIDURI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37365/jti.v11i1.383

Abstract

Student academic performance serves as a key indicator in higher education assessment. For students in Informatics Engineering, foundational computing skills are critical to their academic progression, and these are primarily acquired through first-semester courses. This study proposes a predictive model for Cumulative Grade Point Average (GPA) using the Support Vector Regression (SVR) method with a Radial Basis Function (RBF) kernel. The courses "Introduction to Algorithms," "Computation I," "Computation II," and "Data Structures" were selected as independent variables, as they provide essential computing foundations for subsequent coursework. The dataset comprised 270 records, each containing grades from the aforementioned courses and the corresponding GPA achieved by students in their fourth semester. To ensure data quality, outlier detection was performed using the Z-score method, resulting in a refined dataset of 200 entries. This dataset was then split into 75% for training and 25% for testing. A grid search optimization identified the best hyperparameter combination: C = 100, γ = 0.05, and ε = 0.05. Model evaluation yielded promising results, with a Mean Absolute Error (MAE) of 0.0742, a Mean Absolute Percentage Error (MAPE) of 2.19%, a Mean Squared Error (MSE) of 0.012, and an R² score of 0.8695—indicating strong predictive accuracy. Furthermore, the F-test produced a value of 74.9440, which exceeds the critical F-value of 2.5787, confirming the statistical significance of the independent variables in predicting GPA. This model has the potential to support academic monitoring and enhancement efforts by delivering actionable predictions and insights for the Informatics Engineering program.
Perbandingan Metode Ekstraksi Fitur pada Sistem Pencarian Produk E-Commerce Berbasis Citra Hendryli, Janson; Herwindiati, Dyah Erny; Halim, Henry; Nagaputra, Hongi
Computatio : Journal of Computer Science and Information Systems Vol. 9 No. 1 (2025): Computatio: Journal of Computer Science and Information Systems
Publisher : Faculty of Information Technology, Universitas Tarumanagara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24912/computatio.v9i1.33877

Abstract

Sistem temu kembali atau pencarian produk berbasis citra merupakan teknik pencarian yang bergantung pada konten suatu citra tanpa bergantung pada metadata yang umumnya digunakan pada pencarian berbasis teks. Untuk mendapatkan informasi obyek yang ada dalam suatu citra, berbagai metode ekstraksi fitur dapat digunakan. Tiga metode ekstraksi fitur, yaitu fitur warna, bentuk, dan tekstur, beserta kombinasi dari ketiganya dibahas pada penelitian ini. Fitur warna didapatkan dengan metode color moments dan metode histogram of gradients digunakan untuk ekstraksi fitur bentuk. Sedangkan, metode gray level co-occurrence matrix digunakan untuk ekstraksi fitur tekstur. Sementara itu, metode k-means clustering digunakan untuk membandingkan kesamaan antara citra pada basis data dengan citra kueri. Sistem kemudian menghasilkan 40 produk dengan kemiripan paling besar. Perbandingan dari metode-metode ekstraksi fitur tersebut beserta kombinasinya kemudian diuji dalam dua tahapan. Tahapan pertama adalah untuk mengetahui jumlah klaster terbaik dari metode k-means clustering. Dalam pengujian ini, metrik evaluasi yang digunakan adalah skor silhouette. Dari pengujian, jumlah klaster terbaik untuk fitur bentuk adalah 10. Jumlah klaster terbaik untuk kombinasi fitur warna dan bentuk adalah 4 klaster. Klaster terbaik untuk kombinasi fitur tekstur dan bentuk, serta kombinasi seluruh fitur warna, tekstur, dan bentuk adalah masing-masing sejumlah 2 klaster. Skor silhouette terbaik didapatkan dari kombinasi fitur tekstur dan bentuk, yaitu sebesar 0.658663941. Pengujian kedua adalah melihat mean average precision dari 40 hasil teratas menggunakan kombinasi fitur tersebut. Berdasarkan pengujian, fitur bentuk memberikan hasil terbaik, terutama untuk jenis produk dress.
SAVING BEHAVIOR OF THE MILLENNIAL GENERATION IN JAKARTA Pamungkas, Ary Satria; Herwindiati, Dyah Erny; Taba, Muhammad Idrus
International Journal of Application on Economics and Business Vol. 3 No. 2 (2025): May 2025
Publisher : Graduate Program of Universitas Tarumanagara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24912/ijaeb.v3i2.732-738

Abstract

Indonesian people's interest in saving has decreased to only 15.4% as of May 2024. Bank Indonesia invites the public, especially the millennial generation, to get into the habit of saving. This study aims to determine the effect of peer influence, socialization of parents and self-control on saving behavior. The number of samples in this study was 240 people from the millennial generation who already have income in Jakarta. For data analysis, this study used Structural Equation Modelling (SEM). The results of this research show that peer influence, socialization of parents and self-control have a positive effect on saving behavior.
FAKTOR YANG MEMPENGARUHI HARGA SATUAN BIAYA PEMBANGUNAN INFRASTRUKTUR DI WILAYAH DENGAN AKSESABILITAS TERBATAS Yasmin, Yamani; Herwindiati, Dyah Erny; Sari, Endah Murtiana
Jurnal Pensil : Pendidikan Teknik Sipil Vol. 14 No. 3 (2025): Jurnal Pensil : Pendidikan Teknik Sipil
Publisher : LPPM Universitas Negeri Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21009/jpensil.v14i3.59029

Abstract

Infrastructure development in Indonesia is a national strategic program that must be achieved because it concerns the people’s livelihoods. The government is currently undertaking various efforts to attain massive-scale infrastructure development throughout the national territory. Central Papua Province is a province in eastern Indonesia that requires infrastructure development to meet the needs and rights of the community to access development and improve community welfare in various fields. The unit price of building materials for infrastructure development that is effective and efficient is crucial in Central Papua, given the limited accessibility, which results in the unit price of infrastructure development being expensive. This study aims to compile factors that influence the high unit price of infrastructure development in Central Papua based on logistics costs. Through quantitative and qualitative methods (mixed methods), this study will produce factors that are considered significant in influencing the high unit cost of infrastructure development. The quantitative method will be carried out through secondary data processing from projects completed from 2020 to 2024 to map the costs considered dominant in influencing the unit price of infrastructure development. Meanwhile, the qualitative method is carried out through in-depth interviews with experts, including government, contractors, and logistics service providers, to confirm factors considered influential in the unit cost of infrastructure development in Central Papua. The results of this study will have a direct impact on the government's efforts to determine the unit cost of infrastructure development based on factors that are considered to have a significant influence.
Classification of Vegetable Types Using Singular Value Decomposition (SVD) and K-Nearest Neighbor (KNN) Algorithms Jong, Fenny; Herwindiati, Dyah Erny
Innovative: Journal Of Social Science Research Vol. 4 No. 5 (2024): Innovative: Journal Of Social Science Research
Publisher : Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/innovative.v4i5.14523

Abstract

Vegetables are widely grown in Indonesia, but sometimes they can be prepared poorly and pose risks to consumers. To solve this problem, we need a high-quality system that can identify good and safe vegetables. This study aims to create a vegetable classification system using pictures and computer algorithms. The system analyzes different types of vegetable images, including color and shape. It uses special techniques called Singular Value Decomposition (SVD) and K- Nearest Neighbor (KNN) to classify the vegetables based on their features. The researchers used a dataset of 121 vegetable images, which were divided into 73 training images and 48 test images. The results showed that the system was able to classify the vegetables with a high accuracy rate of 85.42%. This study has the potential to help improve the quality of vegetables and contribute to the development of automated systems in the agricultural industry.
FACTORS THAT INCREASE PURCHASE INTENTION OF ELECTRIC CARS IN JAKARTA Ruslim, Tommy Setiawan; Setiawan, Kevin; Hapsari, Claudia Gita; Herwindiati, Dyah Erny
International Journal of Application on Economics and Business Vol. 1 No. 3 (2023): Agustus 2023
Publisher : Graduate Program of Universitas Tarumanagara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24912/ijaeb.v1i3.968-977

Abstract

Global warming has become an issue for the whole world until now. The cause of global warming is air pollution produced by engine fuels from various automotives that can produce carbon dioxide. This encourages people to be more concerned about the environment, including the automotive industry. The rise of the movement to care for the environment encourages automotive companies to make electric car products which can be a solution to reduce pollution. In recent years, electric cars have started to enter the market in Indonesia. However, this is not well received by the Indonesian people. This is related to the low purchase intention of the electric car itself. The purpose of this study was to determine empirically the effect of attitude, subjective norm, perceived behavioral control, and price sensitivity on consumer purchased intention of electric cars in Jakarta. This study uses data collected from 153 respondents who are people who at least are undergoing undergraduate studies and have knowledge of electric cars in Jakarta. The data was obtained by distributing an online questionnaire in the form of a google form through social media. The data is then processed using SmartPLS 3.2.9 software. The results of this study are attitude, subjective norm, and price sensitivity have a positive and significant influence on the purchase intention of electric cars in Jakarta. Meanwhile, perceived behavioral control has no effect on the purchase intention of electric cars in Jakarta.
THE IDENTIFICATION OF PURCHASE INTENTION AMONG IPHONE CUSTOMERS IN DEPOK VIEWED FROM EWOM, BRAND IMAGE, BRAND TRUST, PERCEIVED VALUE, AND BRAND PREFERENCE Ruslim, Tommy Setiawan; Nova, Nova; Herwindiati, Dyah Erny; Cokki , Cokki
International Journal of Application on Economics and Business Vol. 1 No. 4 (2023): November 2023
Publisher : Graduate Program of Universitas Tarumanagara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24912/ijaeb.v1i4.2354-2367

Abstract

Communication has become a kind of activities performed by human beings everyday, either directly or indirectly. Handphone as one among the communication means, was then developed into smartphone. Due to many smartphones released every year, customers are then faced with so many choices. One among the global reputable smartphone brands is Apple. Therefore, Apple sellers must be able to attract the customers’ attention and increase their purchase intention toward iPhone products, so that these products can compete with others and survive in the market. This research aimed to test the effects of EWOM, brand image, brand trust, perceived value, and brand preference on purchase intention among iPhone customers in Depok, West Java, Indonesia. This descriptive research was conducted to depict the characteristics or functions of a population. By using questionnaire distributed online and among 355 respondents filling-out, there were only 349 respondents from which the data can be processed further by using the SmartPLS-SEM software. The result of this research supported that brand image, brand trust, perceived value, and brand preference have positive and significant effects on purchase intention among iPhone customers in Depok, while EWOM does not have significant effect on purchase intention.
FINANCIAL LITERACY, RISK PERCEPTION, MATERIALISM AND PROPENSITY TO INDEBTEDNESS Pamungkas, Ary Satria; Herwindiati, Dyah Erny; Taba, Muhammad Idrus
International Journal of Application on Economics and Business Vol. 2 No. 1 (2024): February 2024
Publisher : Graduate Program of Universitas Tarumanagara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24912/ijaeb.v2i1.3044-3050

Abstract

The purpose of this paper is to study the influence of financial literacy, risk perception and materialism on propensity to indebtedness. The number of samples in this study was 200 respondents who were credit card users who already had income in the Jakarta area. For data analysis, this study used Structural Equation Modelling (SEM). The result of this study indicated that Financial Literacy and Risk Perception has a negative effect on Propensity to Indebtedness, while Materialism has a positive effect on Propensity to Indebtedness.
Co-Authors Albert, Bryan Andri Muliawan Angel Angel Ariesta, Cindy Maharani Arifin Arifin Budianto, Willson Carlos, Daniel Chairisni Lubis Chandriyani, Ika christian christian Cokki , Cokki Cynthia Cynthia David David Denny, Mandy Sandra Djoenaedi, Owen Ferdinand, Kelvin Gozali, Carisha Puspa gunawan, Hendy Halim, Henry halim, philip bryan Handoyo, Rico Hapsari, Claudia Gita Hendryli, Janson Hendryli, Jaqnson Hendyli, Janson Jong, Fenny Karendef Karendef Kevin kevin Kevin Setiawan Lely Hiryanto Mahlia Muis Manatap Dolok Lauro, Manatap Dolok Martha, Regina Milson, Audie Muhammad Idrus Taba Nagaputra, Hongi Nova Nova Novario Jaya Perdana Onggo, Gilbert Alexandro Otto Randa Payangan Pamungkas, Ary Satria Sani M. Isa Sari, Endah Murtiana Siantar, Nickolas Cornelius Sitorus, Manatap Dolok Lauro Soelaiman, Lydiawati Sopany, Mitchell Ryu Stephen Christian, Stephen Sukamdani, Ryan Rici Suluh, David Susilo, Venezia Valen Teny Handhayani Tommy Setiawan Ruslim, Tommy Setiawan Tony Tony TRI SUTRISNO Turangan, Joyce Wenda Kartika, Wenda Yasmin, Yamani