Data Prosiding - Tahun 2019
Menampilkan 210 dari 315 dataKlik pada judul artikel untuk melihat detail data
Maximizing Appropriate Technology To Advance Development In Indonesian Economic Through Industrial Revolution 4.0
Author
Abstrak
-
Nama Prosiding
-
Volume 0 Nomor -
URL
-
DOI
-
Computer-Assisted Performance Measurement Using Analityc Hierarchy Process
Author
Rani Susanto, S.Kom., M.Kom Anna Dara Andriana, S.Kom.,M.Kom
Abstrak
-
Nama Prosiding
IOP Conference Series: Materials Science and Engineering
Volume 662 Nomor 2
URL
https://iopscience.iop.org/article/10.1088/1757-899X/662/2/022044/meta
DOI
-
Employee Recruitment Analysis Using Computer Based Weighted Product Model
Author
Anna Dara Andriana, S.Kom.,M.Kom Rani Susanto, S.Kom., M.Kom
Abstrak
-
Nama Prosiding
IOP Conference Series: Materials Science and Engineering
Volume 662 Nomor 2
URL
https://iopscience.iop.org/article/10.1088/1757-899X/662/2/022049/meta
DOI
-
Perancangan Dashboard Business Intelligence Untuk Monitoring Pendistribusian Produk Di Pt. X
Author
Anna Dara Andriana, S.Kom.,M.Kom Rani Susanto, S.Kom., M.Kom Tati Harihayati Mardzuki, S.T, M.T
Abstrak
PT.X memiliki kesulitan dalam memonitoring jumlah produk yang harus didistribusikan ke setiap kantor cabang yang letaknya berjauhan sehingga perusahaan tidak dapat mengambil keputusan jenis produk yang harus ditambah maupun dikurangi untuk setiap kantor cabangnya. Maka perlu dirancang sebuah aplikasi yang dapat membantu perusahaan untuk melakukan monitoring produk yang akan didistribusikan. Dashboard Business Intelligence digunakan untuk menganalisis serta memonitoring kebutuhan jumlah produk yang harus disediakan dan didistribusikan untuk setiap kantor cabangnya dengan menggunakan berbagai format yang memungkinkan untuk memberikan rekomendasi keputusan secara tepat berdasarkan Key Performance Indicator perusahaan.
Nama Prosiding
Prosiding Seminar Nasional Riset dan Teknologi (SEMNASRISTEK)
Volume - Nomor 0
URL
https://semnasristek.sakaintek.com/files/Prosiding%20Semnas%20Ristek%202019.pdf
DOI
-
Design Of Project Data Management Information System
Author
Annisa Paramitha Fadillah, S.Kom., M.Kom
Abstrak
-
Nama Prosiding
-
Volume - Nomor -
URL
-
DOI
-
Role Of Online Business Technology In Mindset Of Students
Author
Apriani Puti Purfini, S.Kom.,M.T.
Abstrak
-
Nama Prosiding
-
Volume 66 Nomor -
URL
-
DOI
-
The Prototype Of Traffic Violation Detection System Based On Internet Of Things
Author
Abstrak
-
Nama Prosiding
-
Volume 66 Nomor -
URL
-
DOI
-
Orientation Recognition Performance Evaluation Of Gt-511C3 Fingerprint Sensor
Author
Didit Andri Jatmiko, S.Kom.,MT.
Abstrak
-
Nama Prosiding
-
Volume 66 Nomor -
URL
-
DOI
-
The Influence Of Digital Payments On Public Spending Patterns
Author
Abstrak
The purpose of this study is to analyze the effect of developing digital payments on current patterns of public spending. The method used in the writing of this paper was a descriptive method, where this method was intended to describe events related to digital payments and public spending patterns, and supported by theoretical foundations both from abroad and domestically. Digital payment was a payment system that uses internet facilities as an intermediary. The results of this study indicate that digital payments affect public spending patterns. Many people feel helped by the existence of this digital payment because with the existence of digital payments the public feels easier in making transactions. This can be seen from the number of people who make transactions using e-money every day. Therefore, many patterns of public spending change, from those who initially shop at direct retail stores (offline), now shop through applications (online stores) or what we often know as e-commerce.
Nama Prosiding
Annual Applied Science and Engineering Conference
Volume 1402 Nomor 6
URL
https://iopscience.iop.org/article/10.1088/1742-6596/1402/6/066085
DOI
-
Relevance Vector Machine Optimization In Automatic Text Summarization
Author
Kania Evita Dewi, S.Pd., M.Si Dr. Ednawati Rainarli, S.Si., M.Si.
Abstrak
This study aims at optimizing the Relevance Vector Machine (RVM) algorithm in automatic text summarization. This research begins by studying various studies on automatic text summarization to find out what features are commonly used in the automatic text summarization process. Each feature value will be calculated as a correlation with the target. The composition of features is determined by obtained correlation value, when the correlation value between features and targets is greater, the feature will take precedence. The results in this study are obtained by using 4 or 6 features that obtain the highest accuracy, which is 55.84%. The conclusion of this study is that the correlation coefficient can be used to determine the order of extraction features.
Nama Prosiding
IOP Conference Series: Materials Science and Engineering, Volume 662, Issue 5
Volume 662 Nomor 5
URL
https://iopscience.iop.org/article/10.1088/1757-899X/662/5/052003/meta
DOI
-