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All Journal International Journal of Electrical and Computer Engineering Bulletin of Electrical Engineering and Informatics Jurnal Informasi dan Teknologi Riwayat: Educational Journal of History and Humanities
Muhammad Zarlis
Bina Nusantara University
Humanities Computer Science & IT Education Electrical & Electronics Engineering Social Sciences

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Acceptance of augmented reality in video conference based learning during COVID-19 pandemic in higher education Sunardi Sunardi; Arief Ramadhan; Edi Abdurachman; Agung Trisetyarso; Muhammad Zarlis
Bulletin of Electrical Engineering and Informatics Vol 11, No 6: December 2022
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/eei.v11i6.4035

Abstract

Three years after the COVID-19 pandemic emerged, we have adapted to the new normal, especially in the education field. Learning with video conferences has become our daily activity, and learning tools have gotten more prominent attention to gain student engagement, especially in emergency remote teaching (ERT). Since the trends of metaverse campaigns by meta, augmented reality (AR) has increased recognition in education contexts. However, very little research about the acceptance of augmented reality in video conferences, especially among university students. This paper aims to measure acceptance of AR in video conferences to motivate and inspire students to gain benefits and get impactful technology in the learning process. The research gathered data from a survey of 170 university students (from 5 majors in the study program and 17 different demographic areas) using unified theory of acceptance of technology 2 (UTAUT2). The result reveals that variables significantly impact acceptance: performance expectancy, hedonic motivation, and habit. The least significant but still positive effects are effort expectancy, social influence, and facilitating conditions. The study will provide helpful information on AR technology in video conferences and help top-level management in the university that provides online/distance learning in the early diffusion stage for metaverse in education.
Pengembangan Sistem Informasi Manajemen untuk Mutu Manufaktur Kosmetik Bersertifikasi Kevin Andrian; Muhammad Zarlis
Jurnal Informasi dan Teknologi 2023, Vol. 5, No. 1
Publisher : SEULANGA SYSTEM PUBLISHER

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37034/jidt.v5i1.263

Abstract

Pertumbuhan pasar industri kosmetik yang terus meningkat secara konsisten mendorong produsen untuk terus meningkatkan kualitas sistem usahanya sesuai standar GMP (Good Manufacturing Practice) untuk menghasilkan lebih banyak produk. Inticosmetic, produsen kosmetik (sejak 1979), telah merancang dan menggunakan QMS (sistem manajemen mutu) yang disebut INCOL (Inticosmetic Online Leverage) sejak 2018. Bahkan setelah bertahun-tahun digunakan, perangkat lunak tersebut menyebabkan kegagalan produksi karena ketidakcocokan bahan baku. stok data. Pencatatan manual masih digunakan oleh beberapa manajemen. Penelitian ini dilakukan untuk meningkatkan kualitas sistem informasi dengan menggunakan pendekatan ISO/IEC 25010 Quality in Use Framework. Wawancara dengan manajemen puncak, pengujian kotak hitam, dan survei karyawan perusahaan dilakukan untuk mengumpulkan data. Temuannya adalah bahwa manajemen puncak terlalu membatasi dan mengontrol proses bisnis, yang mengakibatkan lambatnya proses bisnis, pemulihan kesalahan input, dan tumpukan tindakan yang tertunda. Desain input otomatis menggunakan IoT perlu dikembangkan untuk mendelegasikan lebih banyak pekerjaan dari manajemen tingkat bawah ke operator. Perangkat lunak perlu menyesuaikan kembali skema validasi halaman untuk keefektifan karena jumlah data yang berkembang pesat. Dokumen output software telah memenuhi aspek GMP namun masih membutuhkan pengembangan manajemen aset.
Machine learning in drug supply chain management during disease outbreaks: a systematic review Gunadi Emmanuel; Arief Ramadhan; Muhammad Zarlis; Edi Abdurachman; Agung Trisetyarso
International Journal of Electrical and Computer Engineering (IJECE) Vol 13, No 5: October 2023
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijece.v13i5.pp5517-5533

Abstract

The drug supply chain is inherently complex. The challenge is not only the number of stakeholders and the supply chain from producers to users but also production and demand gaps. Downstream, drug demand is related to the type of disease outbreak. This study identifies the correlation between drug supply chain management and the use of predictive parameters in research on the spread of disease, especially with machine learning methods in the last five years. Using the Publish or Perish 8 application, there are 71 articles that meet the inclusion criteria and keyword search requirements according to Kitchenham's systematic review methodology. The findings can be grouped into three broad groupings of disease outbreaks, each of which uses machine learning algorithms to predict the spread of disease outbreaks. The use of parameters for prediction with machine learning has a correlation with drug supply management in the coronavirus disease case. The area of drug supply risk management has not been heavily involved in the prediction of disease outbreaks.
Analysis Of Factors Affecting The Use Of The Mobile Home Ownership Credit (KPR) Application Hero Indriyanto*; Muhammad Zarlis
Riwayat: Educational Journal of History and Humanities Vol 6, No 3 (2023): Social, Political, and Economic History
Publisher : Universitas Syiah Kuala

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24815/jr.v6i3.34246

Abstract

In its business activities, the Bank has implemented information technology to support various existing business processes. This technology support will change the financial business model to be more efficient and lead to digital services. One form of banking service is the provision of home ownership loans to individual customers who are going to buy or repair a house. PT ABC is a banking company under the auspices of a BUMN that focuses on housing loans. PT ABC has also implemented information technology for the convenience of services that will be provided to consumers. PT ABC has created a mobile mortgage application to facilitate mortgage services to customers. In implementing this mobile mortgage application there are still several obstacles and based on ratings in the Playstore it is still relatively low and there are still negative responses from customers. For this reason, an analysis is needed regarding what factors can support the successful use of this mobile mortgage application where the results of this analysis are expected to later be used as guidelines for improving and optimizing the functions of this application. This study uses a combination of two models, namely UTAUT2 and Delone and Mclean Information Systems which are used to identify the factors that influence the use of the KPR Mobile Application. Data were obtained from 286 respondents who are customers of PT ABC. Then it will be analyzed using SMART PLS software version 3.3.9. The results of this study will later be used for PT ABC as material for evaluating and improving the performance of the KPR mobile application. Based on the results of the research conducted, it is known that Performance expectancy, Social influence, Facilitating conditions, Price value, System quality, Service quality, Information quality have a significant effect on the behavior of using the KPR Mobile application and increasing the use of the KPR Mobile application can positively increase customer satisfaction and increase customer loyalty at PT ABC .
Co-Authors Agung Trisetyarso Arief Ramadhan Edi Abdurachman Gunadi Emmanuel Hero Indriyanto* Kevin Andrian Sunardi Sunardi