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Technological Acceptance Model (TAM) Terhadap Adopsi Aplikasi Trading Cryptocurrency Studi Kasus: Indodax Trading Platform Audi Ramadhan; Chandra Indira Septiarani; Faisal Dias; Deden Yoga Pratama
IJCIT (Indonesian Journal on Computer and Information Technology) Vol 4, No 2 (2019): IJCIT November 2019
Publisher : LPPM Universitas Bina Sarana Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (517.344 KB) | DOI: 10.31294/ijcit.v4i2.6730

Abstract

Aplikasi trading cryptocurrency merupakan sebuah aplikasi yang relatif baru yang ditandai dengan munculnya banyak cryptocurrency seperti Bitcoin, Ethereum dan lain sebagainya. Oleh sebab itu, analisis penerimaan teknologi pada aplikasi tersebut sangat penting untuk dikaji lebih dalam. Penelitian ini bertujuan untuk menganalisis dan mengukur penerimaan aplikasi trading cryptocurrency yaitu Indodax Trading Platform dengan menggunakan Technology Acceptance Model (TAM) yang diintegrasikan dengan faktor resiko dan kepercayaan. Penelitian ini merupakan penelitian kuantitatif asosiatif dengan menggunakan kuesioner untuk mendapatkan data primer. Sampel yang digunakan pada penelitian ini sebesar 134 dengan menggunakan teknil analisis Semi Equation Model – Partial Least Square (SEM-PLS). Hasil dari penelitian ini yaitu adanya pengaruh dari perceived usefulness dan trust terhadap penggunaan aplikasi trading cryptocurrency. Sedangkan resiko dan perceived ease of use tidak berpengaruh terhadap penggunaan aplikasi trading cryptocurrency.
Perencanaan Strategis Sistem Informasi Dan Teknologi Informasi Pada PT. Matahari Department Store TBK. Chandra Indira S; Audi Ramadhan; Achmad Fauzi Saputra; Nita Yalina
IJCIT (Indonesian Journal on Computer and Information Technology) Vol 6, No 1 (2021): IJCIT - Mei 2021
Publisher : LPPM Universitas Bina Sarana Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (392.71 KB) | DOI: 10.31294/ijcit.v6i1.8911

Abstract

PT. Matahari Department Store Tbk. adalah sebuah perusahaan ritel di Indonesia yang menawarkan berbagai produk fashion dan kosmetik untuk berbagai kalangan. Sampai saat ini, PT. Matahari Department Store Tbk membutuhkan maintenance perencanaan strategis sistem informasi untuk mengikuti tren pasar. Sehingga hal tersebut menjadi kesenjangan penulisan penelitian ini. penelitian ini bertujuan untuk merancang dan merencanakan teknologi strategis yang dapat digunakan PT. Matahari Department Store untuk meningkatkan efensiensi dan efektifitas operasional dan proses bisnisnya dalam meningkatkan laba. Metode yang digunakan dalam penelitian perencanaan strategis sistem informasi pada PT. Matahari Department Store Tbk. adalah menggunakan metode Ward & Peppard. Hasil dari penelitian ini adalah rekomendasi sistem informasi yang memungkinkan meningkatkan efisiensi dan efektifitas proses bisnis PT. Matahari Department Store Tbk. seperti Digital Marketing, Aplikasi Digital Signature dan Kuitansi Pegawai, Sistem Pendukung Keputusan Ukuran Baju, Sistem Informasi Integrasi Market Place, Sistem Informasi Integrasi Rantai Pasok, Sistem Pendukung Keputusan Tren Fashion, Aplikasi Quality Control dan Sistem Informasi Kepatuhan dengan rencana implementasi selama 5 tahun. Dengan adanya penelitian ini diharapkan dapat meningkatkan efisiensi dan efektifitas proses bisnis PT. Matahari Department Store Tbk. PT. Matahari Department Store Tbk. is a retail company in Indonesia that offers a variety of fashion and cosmetic products for various groups. Until now, PT. Matahari Department Store Tbk requires maintenance of information system strategic planning to keep up with market trends. So that this is a gap in the writing of this study. This study aims to design and plan strategic technology that can be used by PT. Matahari Department Store to improve the efficiency and effectiveness of its operations and business processes in increasing profits. The method used in the strategic planning research of information systems at PT. Matahari Department Store Tbk. is to use the Ward & Peppard method. The results of this study are recommendations for information systems that allow increasing the efficiency and effectiveness of PT. Matahari Department Store Tbk. such as Digital Marketing, Digital Signature and Employee Receipt Applications, Dress Size Decision Support Systems, Market Place Integration Information Systems, Supply Chain Integration Information Systems, Fashion Trend Decision Support Systems, Quality Control Applications and Compliance Information Systems with a 5-year implementation plan. With this research, it is hoped that the efficiency and effectiveness of the business processes of PT. Matahari Department Store Tbk.
Pemodelan dan Simulasi Rantai Pasok Mobil Honda Audi Ramadhan; Safitra Aditya; Mohammad Afinil
Jurnal Manajemen Transportasi & Logistik (JMTRANSLOG) Vol 7, No 1 (2020): MARET
Publisher : Institut Transportasi dan Logistik Trisakti

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54324/j.mtl.v7i1.361

Abstract

Cars are one of the needs of modern humans today. However, car price fluctuations are influenced by several factors, one of which is the supply chain factor. The supply chain in the delivery of a car has a share in these fluctuations. So the efficiency and effectiveness of the supply chain in shipping Honda cars need to be considered. This study aims to model the supply chain routes of Honda cars. This study uses the object delivery of Honda cars using the Agent Based method. The results of this study are the visualization and evaluation of Honda car supply chain route. The expectation of this research is become a consideration for companies to improve the efficiency and effectiveness of shipments.
Analisis strategi dan klasterisasi ketahanan pangan nasional dalam menghadapi pandemi covid-19 Audi Ramadhan; Kinanti Prawita; M. Andik Izzudin; Gitta Amandha

Publisher : Program Studi Ilmu dan Teknologi Pangan, Universitas Yudharta, Pasuruan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35891/tp.v12i1.2179

Abstract

Covid-19 outbreak that scours the world nowadays is affecting all sectors, including food security. Therefore it needs to restructuring the food security policies to ensure that every people obtains adequate and nutritious food. However, the society in each province have different conditions. Thus the clusterization of food security level per province is indispensable to support strategic and policy decision in order to face the Covid-19 pandemic. This research aimed to clustering food security level of each province in Indonesia. Furthernore, this research also compare several clustering methods. The clustering method that used as a comparison in this study is K-means, DBSCAN, Louvain and Self organizing maps methods. Method with the highest silhouette coefficient value in this research will represent the results of food security clustering. The resul of the research show that K-means achieve highest silhouette coefficient value (0.568). Therefore the clusterization result of K-means chosen to represent the level of food security in this research. Further, it followed by self organizing maps with silhouette coefficient 0.559, louvain 0.312 and DBSCAN 0.15. The clusterization result show there are 7 provinces with high food security index, 24 provinces with medium food security index and 3 provinces with low food security index. This research also propose policies strategy and recommendation related to regional food security condition in order to face the Covid-19 pandemic. This research is expected to be a consideration of Indonesian government in making policies on national food security.