Garuda - Garba Rujukan Digital

Rancang Bangun Media Pembelajaran Komunikasi Anak Autis Berbasis Augmented Reality Julianingsih, Dwi; Huda, Asrul
Jurnal Pendidikan Tambusai Vol. 6 No. 1 (2022): April 2022
Publisher : LPPM Universitas Pahlawan Tuanku Tambusai, Riau, Indonesia

Autisme merupakan gangguan perkembangan pada anak secara kompleks yang gejalanya sudah muncul sebelum anak berusia 3 tahun. Gangguan neurologi pervasif ini terjadi pada aspek neurobiologis otak dan mempengaruhi proses perkembangan pada anak. Akibatnya anak tidak dapat secara otomatis belajar untuk berinteraksi dan berkomunikasi dengan sekitarnya, sehingga seolah-olah hidup dalam dunianya sendiri. Permasalahan komunikasi pada anak autis diwujudkan dalam bentuk ketidakmampuan anak dalam menyampaikan pesan kepada orang lain baik dalam bentuk pernyataan maupun pertanyaan yang mengakibatkan lawan bicara kesulitan dalam memahami keinginan anak. Dalam pelajaran pengembangan komunikasi, guru menggunakan metode yang paling dasar dalam pembelajaran, yaitu kepatuhan, imitasi, kontak mata, instruksi sederhana, dan pengenalan nama diri. Namun, belum terlihat adanya kemajuan dalam berkomunikasi pada anak yaitu anak masih belum mampu menjawab pertanyaan sederhana yang diajukan oleh guru. Media pembelajaran berbasis Augmented Reality dapat dijadikan salah satu solusi untuk dijadikan metode dalam proses pembelajaran anak autis. Penetilian ini bertujuan untuk membangun sebuah media pembelajaran untuk anak autis berbasis Augmentd Reality yang merupakan sebuah aplikasi untuk membantu anak autis dalam pengenalan huruf dan hewan sekitar. Metode yang digunakan dalam pembuatan media pembelajaran ini yaitu Multimedia Development Life Cycle (MDCL) yang terdiri dari 6 tahapan yaitu konsep, perancangan, pengumpulan bahan, pembuatan, pengujian, dan distribusi.

Effort To Win The Competition In Digital Business Payment Modeling Williams, Alexander; Widayanti, Riya; Maryanti, Tatik; Julianingsih, Dwi
Startupreneur Business Digital (SABDA Journal) Vol. 1 No. 1 (2022): Startupreneur Business Digital (SABDA)
Publisher : Pandawan Sejahtera Indonesia

Competition in the digital payment business on an international and local scale will be increasingly intense. In the face of competitive conditions like this, digital payment companies are required to continuously develop their sources of competitive advantage through the establishment of digital business strategies and the development of digital business models that can ensure the creation of superior value for consumers and ultimately provide value to company owners. In the digital payment business, this effort requires companies not only to be able to do business but also how companies can develop knowledge and digital capabilities.

Rancang Bangun Media Pembelajaran Komunikasi Anak Autis Berbasis Augmented Reality Julianingsih, Dwi; Huda, Asrul
Jurnal Pendidikan Tambusai Vol. 6 No. 1 (2022): 2022
Publisher : LPPM Universitas Pahlawan Tuanku Tambusai, Riau, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/jptam.v6i1.3062

Autisme merupakan gangguan perkembangan pada anak secara kompleks yang gejalanya sudah muncul sebelum anak berusia 3 tahun. Gangguan neurologi pervasif ini terjadi pada aspek neurobiologis otak dan mempengaruhi proses perkembangan pada anak. Akibatnya anak tidak dapat secara otomatis belajar untuk berinteraksi dan berkomunikasi dengan sekitarnya, sehingga seolah-olah hidup dalam dunianya sendiri. Permasalahan komunikasi pada anak autis diwujudkan dalam bentuk ketidakmampuan anak dalam menyampaikan pesan kepada orang lain baik dalam bentuk pernyataan maupun pertanyaan yang mengakibatkan lawan bicara kesulitan dalam memahami keinginan anak. Dalam pelajaran pengembangan komunikasi, guru menggunakan metode yang paling dasar dalam pembelajaran, yaitu kepatuhan, imitasi, kontak mata, instruksi sederhana, dan pengenalan nama diri. Namun, belum terlihat adanya kemajuan dalam berkomunikasi pada anak yaitu anak masih belum mampu menjawab pertanyaan sederhana yang diajukan oleh guru. Media pembelajaran berbasis Augmented Reality dapat dijadikan salah satu solusi untuk dijadikan metode dalam proses pembelajaran anak autis. Penetilian ini bertujuan untuk membangun sebuah media pembelajaran untuk anak autis berbasis Augmentd Reality yang merupakan sebuah aplikasi untuk membantu anak autis dalam pengenalan huruf dan hewan sekitar. Metode yang digunakan dalam pembuatan media pembelajaran ini yaitu Multimedia Development Life Cycle (MDCL) yang terdiri dari 6 tahapan yaitu konsep, perancangan, pengumpulan bahan, pembuatan, pengujian, dan distribusi.

Antecedents of perceived usefulness on the use of electronic hospital management information systems Putri, Adinda Adia; Jayanagara, Oscar; Julianingsih, Dwi
Journal of Accounting and Investment Vol 25, No 1: January 2024
Publisher : Universitas Muhammadiyah Yogyakarta, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18196/jai.v25i1.19120

Research aims: This study aims to analyze the factors that influence SIMRS and examine the mediating effect of perceived ease of use on the factors that affect SIMRS. Design/Methodology/Approach: This explanatory research used a quantitative approach through survey methods. The population in this study was doctors practicing in the outpatient polyclinic of XYZ Hospital, totaling 80 doctors using the total sampling. Data collection techniques employed a scale and analyzed utilizing Smart Partial Least Square (PLS). Research findings: According to the research findings, all examined indicators were found to be positively and substantially correlated with perceived ease of use by the following variables: computer self-efficacy, trustworthiness, technological risk, facilitating conditions, and degree of openness. Although all but the degree of openness exhibited a significant correlation with perceived usefulness, the remaining indicators did not. In relation to perceived usefulness, all factors exhibited a positive and statistically significant association with perceived ease of use as a mediator.Practical and Theoretical Contribution/Originality: In terms of practical and theoretical contributions, these findings offer valuable insights for hospitals, emphasizing the importance of enhancing doctors' knowledge, openness, and confidence in adopting SIMRS technology. Recommendations offered include increasing computer literacy among doctors, mitigating risks associated with SIMRS, and improving access to healthcare services.Research limitation: In this case, the research limitation stems from the need to explore further additional characteristics, such as computer self-efficacy, trustworthiness, technological risk, facilitating conditions, and perceived ease of use, as they may impact perceived usefulness across various variables. Future research should expand its scope and population, employing comprehensive data collection techniques to maximize research outcomes.

Peran Pelatihan dan Keterikatan Kerja Untuk Meningkatkan Kinerja Karyawan Pada Industri Telekomunikasi Ruhiyat, Imam; Meria, Lista; Julianingsih, Dwi
Technomedia Journal Vol 7 No 1 Juni (2022): TMJ (Technomedia Journal)
Publisher : Pandawan Incorporation, Alphabet Incubator Universitas Raharja

This research was conducted with the aim of knowing the role of training, work engagement on employee performance for employees in the Telecommunication Service Provision Industry who reside in the Greater Jakarta area. The independent variable is training, work engagement, while the dependent variable is employee performance. The population in this study are employees who live in the Greater Jakarta area who work in telecommunications service companies. The number of samples contained in this study were 200 respondents. The sampling technique contained in this study uses a non-probability sampling method with purposive sampling technique, the data instrument testing uses validity and reliability tests. The method used in this research is Structural Equation Modeling (SEM). Based on this research, it was found that training had a positive and significant effect on employee performance. Furthermore, training has a positive and significant effect on work engagement. Then the work engagement has a positive and significant effect on employee performance. Keywords: Training, Work Engagement, Employee Performance.

Analysis Investor Index Indonesia with Capital Asset Pricing Model (CAPM) Pramono, Erry Sigit; Rudianto, Dudi; Siboro, Fernando; Abdul Baqi , Muhamad Puad; Julianingsih, Dwi
Aptisi Transactions On Technopreneurship (ATT) Vol 4 No 1 (2022): March
Publisher : Pandawan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34306/att.v4i1.218

This study aimed to compare composition of the optimal portfolio of stocks, the proportion of funds in each of these stocks and calculate risk and return portfolio from Investor33 (INV33) Index and Jakarta Islamic Index (JII) in research period January 2016-December 2018. The method used in this research is a quantitative descriptive method. Sample in this study using purposive sampling were 24 stock from INV33 Index and 17 stock from JII Index. The results of the study were as follows : (1) The optimal portfolio of stocks by using capital asset pricing model from INV33 Index are CPIN (Charoen Pokphand Indonesia Tbk), ITMG (Indo Tambangraya Megah Tbk), BBCA (Bank Central Asia Tbk), UNTR (United Tractor Tbk), (TLKM) Telekomunikasi Indonesia (Persero) Tbk, ICBP (Indofood CBP Sukses Makmur Tbk), BBTN (Bank Tabungan Negara Persero Tbk and from JII Index are ADRO (Adaro Energy Tbk), ICBP (Indofood CBP Sukses Makmur Tbk), INCO (Vale Indonesia Tbk), INDF (Indofood Sukses Makmur Tbk), TLKM (Telekomunikasi Indonesia Persero Tbk), UNTR (United Tractor Tbk). (2) The composition of the proportion of funds in optimal portfolio formed by INV33 Index are BBCA (46,49%), CPIN (20,11%), ICBP (12,78%), ITMG (8,59%), UNTR (6,95%), TLKM (4,11%) and BBTN (0,97%) and from JII Index are ICBP (34,96%), ADRO (19,47%), UNTR (16,26%), INCO (10,88%), TLKM (10,43%) and INDF (8,00%). (3) The optimal portfolio of stocks return from INV33 Index was greater than stock portfolio return from JII Index and the optimal portfolio of stocks risk from INV33 Index was lower than stock portfolio risk from JII Index.

Flood Disaster Mitigation Using the HEC-RAS Application to Determine River Water Levels in the Old City Area of Jakarta Sejati, Wahyu; Paramitha AH, Dina; Khansa, Fathya; Maulana, Aryo Setyo; Julianingsih, Dwi
Aptisi Transactions On Technopreneurship (ATT) Vol 4 No 2 (2022): July
Publisher : Pandawan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34306/att.v4i2.253

The old city area is a tourist area strategically located in the heart of the capital city of DKI Jakarta. The Krukut river is one of the rivers that often overflow, which is one of the causes of flooding in Jakarta. This study aims to determine the water level of the Krukut river so that it can be used as a reference in handling flood disaster mitigation. This study uses the Nakayasu method and the Snyder method to calculate flood discharge, with a return period of up to 100 years. Meanwhile, for modeling the river water level using the HEC-RAS 5.0.07 application. The results of this study, specifically on the upstream cross-section until 300 meters after that TMA, are pretty high with plan one, which is 3 m deep from the bottom of the channel. However, the track still has a sufficient guard height of about 1.5 m. In other words, no overtopping/ river water does not overflow in the upstream area with a return period of 10 years and 25 years. However, due to the narrower channel section, the upstream region is more prone to flooding than the middle downstream area. From the modeling results, the channel prone to erosion is the section 10 track which is widening at the same time that the channel is not filled with the CONCRETE channel, so it is effortless to erode. For this reason, it is recommended to repair the walls of the river/channel to avoid scouring, especially if there is a high/extreme discharge.

The Use of TensorFlow in Analyzing Air Quality Artificial Intelligence Predictions PM2.5 Rahardja, Untung; Aini, Qurotul; Sunarya, Po Abas; Manongga, Danny; Julianingsih, Dwi
Aptisi Transactions On Technopreneurship (ATT) Vol 4 No 3 (2022): November
Publisher : Pandawan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34306/att.v4i3.282

Artificial intelligence techniques to forecasts based on the Community Multiscale Air Quality (PM2.5) operational model can be known using TensorFlow. TensorFlow was used in this study to assess the scores of the Recurrent Neural Networks (RNN) input variables on the 6-hour forecast for July-October 2022. The relevance scores for the one- and two-day forecasts are represented by the sum of the relevance scores across the target prediction timeframe 2–5 and 4–7 previous time steps. The initial selection of input variables was based on their correlation coefficient with the measured PM2.5 concentration. Still, the order of contribution of the input variables measured by TensorFlow was different from the order of their correlation coefficients, which indicated an inconsistency between the linear and nonlinear variables of the method. It was found that the retraining of the RNN model using a subset of variables with a high relevance score resulted in a predictive ability similar to the initial set of input variables.

Understanding Air Pollution Through Machine Learning: Predictive Analytics for Urban Management Saputra, Didi Rahmat; Nugroho, Hadi; Julianingsih, Dwi; Queen, Zabenaso
IAIC Transactions on Sustainable Digital Innovation (ITSDI) Vol 6 No 1 (2024): October
Publisher : Pandawan Sejahtera Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34306/itsdi.v6i1.679

Air pollution poses a critical challenge in urban areas, including Indonesia, significantly affecting public health and the environment. While machine learning (ML) has been used to predict air pollution levels, integrating ML with urban management strategies for actionable policy recommendations remains underexplored. This study employs structural equation modeling (SEM) using SmartPLS to analyze air pollution metrics, ML predictive analytics, urban management strategies, environmental data sources, and policy recommendations. Based on responses from 400 experts in environmental science and urban management, the findings reveal that ML-driven insights significantly enhance urban management strategies and policy effectiveness. The study concludes by providing evidence-based recommendations for policymakers to improve air quality in urban areas, emphasizing the importance of integrating ML and data-driven approaches into sustainable urban management. These findings contribute to addressing Indonesia urgent air pollution crisis and advancing urban sustainability.

Social Media as a Tool for Transforming Childhood Learning Mechanisms in Edupreneurship Watini, Sri; Magdalena, Lena; Wirjawan, Tri Wahyu; Gunawan, ⁠Ahmad; Julianingsih, Dwi; Ivanov, Nikita
Aptisi Transactions On Technopreneurship (ATT) Vol 7 No 1 (2025): March
Publisher : Pandawan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34306/att.v7i1.475

This paper delves into the intricate relationship between social media and childhood learning mechanisms for children. Despite the growing body of research on learners acceptance of e-learning systems via childhood program platforms, a considerable gap remains in understanding the determinants that shape the acceptance of e-learning facilitated through social media applications. Addressing this gap, our study undertakes an exploration of the impact of social media practices, specifically knowledge sharing, social media features, motivation, and uses, on children embrace of e-learning systems. To accomplish this, we extend the well-established Technology Acceptance Model (TAM) to incorporate these determinants. A comprehensive survey was conducted involving 355 children. These students participated through questionnaire surveys, providing essential empirical data. Employing the robust SmartPLS technique, meticulously analyzed the extended model. The results of empirical data analysis demonstrate that social media practices exert a significant and positive influence on Perceived Usefulness (PU) and Perceived Ease of Use (PEOU) related to Childhood Learning Mechanisms. Crucially, our findings underscore the pivotal role of both PU and PEOU in influencing the acceptance of e-learning systems. In essence, this paper not only sheds light on the transformative potential of social media practices in shaping the acceptance of e-learning systems but also contributes to the existing discourse by deepening our understanding of the interplay between social media, TAM determinants, and e-learning acceptance in childhood programs.

Title

Found 15 Documents
Search

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Title Search

Found 15 Documents Search

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Title

Found 15 Documents
Search