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All Journal Proceeding of the Electrical Engineering Computer Science and Informatics Publication Library and Information Science Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control
Wina Permana Sari
Bina Nusantara Institute of Creative Technology Malang
Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Energy Engineering Library & Information Science

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Determine supporting features for mobile application of NUSANTARA Dana I. Sensuse; Ika Arthalia Wulandari; Erzi Hidayat; Elin Cahyaningsih; Pristi Sukmasetya; Wina Permana Sari
Proceeding of the Electrical Engineering Computer Science and Informatics Vol 5: EECSI 2018
Publisher : IAES Indonesia Section

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (929.204 KB) | DOI: 10.11591/eecsi.v5.1687

Abstract

This paper is a continuation of previous research focusing on the development of a model of knowledge management system for civil servant from three ministries in Indonesia (KEMENPAN&RB, BKN, and LAN). From previous study obtain a knowledge management model which is Government Human Capital Knowledge Management of Republic of Indonesia (NUSANTARA). Implementation of this model is conducted with web system, further development of this system still provides constraints from several sides in providing more optimal service against users requirements as well as limited accessibility and responsiveness. This paper aims to explore the supporting features that will be used to integrate pre- existing systems that build mobile knowledge management applications. Data were collected by interview from each related institution. The CommonKADS method is chosen as a technique to explore the problems and knowledge of each organization. SMAPA method is used to validate the result from the experts and end users. Results of this work are produced seven recommended supporting features there are vision and mission view, activity notification, group discussion, search repository, upload document and document activities log.
Pengembangan Aplikasi Repositori Publikasi Penelitian dan Pengabdian Menggunakan Framework PHP Berbasis MVC Hisyam Fahmi; Wina Permana Sari; Ari Kusumastuti
Publication Library and Information Science Vol 4, No 1 (2020)
Publisher : UPT. Perpustakaan Universitas Muhammadiyah Ponorogo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24269/pls.v4i1.2396

Abstract

Project ini bertujuan untuk membangun sebuah sistem informasi yang terbebas dari resiko yang mungkin terjadi ketika mengolah data secara manual seperti hilangnya berkas, pudarnya tulisan, kesulitan dalam mencari data publikasi penelitian dan pengabdian masyarakat. Sistem Informasi Publikasi Penelitian dan Pengabdian ini dibangun dalam bentuk katalog yang berisi informasi mengenai publikasi penelitian dan pengabdian yang dibuat dengan dua (2) jenis pengguna yaitu tamu (umum) dan admin. Sistem dikembangkan menggunakan framework PHP yang menggunakan pendekatan Model-View-Controller (MVC), yaitu Laravel. Sistem ini diharapkan mampu mengelola data penelitian dan pengabdian masyarakat baik dosen maupun mahasiswa yang menjadi penerapan karakteristik Ulul Albab di Universitas Islam Negeri Maulana Malik Ibrahim Malang yang salah satunya adalah konteks keluasan ilmu dalam melakukan penelitian dan pengabdian kepada masyarakat.
2D Mapping and boundary detection using 2D LIDAR sensor for prototyping Autonomous PETIS (Programable Vehicle with Integrated Sensor) Hanugra Aulia Sidharta; Sidharta Sidharta; Wina Permana Sari
Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control Vol 4, No 2, May 2019
Publisher : Universitas Muhammadiyah Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (326.052 KB) | DOI: 10.22219/kinetik.v4i2.731

Abstract

PETIS (Programable Vehicle with Integrated Sensor) is a research project with goal make a robot that move independently with specific purpose. Due complexity of PETIS, research divide into several important sequence. In this research author focus on sense of sight for PETIS, LIDAR chosen due flexible and comprehensive. There is many LIDAR sensor in marketplace, LDS-01 as one of commercial LIDAR sensor available on market, produced by ROBOTIS as one of low-cost LIDAR sensor. Compare with another sensor that cost more than $1000, LDS-01 just cost lower than $500. On this research study focus with LDS-01 sensor reading, include hardware, software connection, and data handling. Based on this research LDS-01 as LIDAR sensor can read obstacle with minimum 29,9 cm and maximal 290,7 cm. Comparing with datasheet LDS-01 should work from 12 cm through 350 cm. 
The Effect of Error Level Analysis on The Image Forgery Detection Using Deep Learning Wina Permana Sari; Hisyam Fahmi
Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control Vo. 6, No. 3, August 2021
Publisher : Universitas Muhammadiyah Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22219/kinetik.v6i3.1272

Abstract

Digital image modification or image forgery is easy to do today. The authenticity verification of an image become important to protect the image integrity so that the image is not being misused. Error Level Analysis (ELA) can be used to detect the modification in image by lowering the quality of image and comparing the error level. The use of deep learning approach is a state-of-the-art in solving cases of image data classification. This study wants to know the effect of adding ELA extraction process in the image forgery detection using deep learning approach. The Convolutional Neural Network (CNN), which is a deep learning method, is used as a method to do the image forgery detection. The impacts of applying different ELA compression levels, such as 10, 50, and 90 percent, were also compared in this study. According to the results, adopting the ELA feature increases validation accuracy by about 2.7% and give the better test accuracy. However, the use of ELA will slow down the processing time by about 5.6%.
Co-Authors Ari Kusumastuti Dana I. Sensuse Elin Cahyaningsih Erzi Hidayat Hanugra Aulia Sidharta Hisyam Fahmi Ika Arthalia Wulandari Sidharta Sidharta Sukmasetya, Pristi