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All Journal Jurnal Ilmu Komputer dan Informasi Journal of Computer and Information Indonesian Journal of Information System Indonesian Journal for Social Responsibility
Irwan Prasetya Gunawan
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Agriculture, Biological Sciences & Forestry Computer Science & IT Economics, Econometrics & Finance Environmental Science Industrial & Manufacturing Engineering Mechanical Engineering Social Sciences

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Information Technology Strategic Planning for Portfolio Application in Hospitality Industry Gunawan, Irwan Prasetya; Yesmaya, Violitta; Saragih, Hoga
Journal of Computer and Information Vol 1, No 1 (2012)
Publisher : Universitas Bakrie Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (356.222 KB)

Abstract

Information technology is now used to allow users to manage information more quickly and effectively. Advances in technology in the hospitality  industry have evolved over the years. Strategic planning is implemented by companies/organizations to increase competitive advantage, minimize competitive disadvantage, and improve business process. This paper aims at producing IT strategic planning in the  hospitality industry to support the business process in a hotel. The method used in this research was adopted from a framework of IT Strategic Planning by Ward (2002). This study also used several measures such as SWOT and Porter's 5 Forces to analyze the  internal and external business environment of the hotel subject in this study. The results were a portfolio of new applications such as Mobile Web Application, CRM and Knowledge Management System which are proposed for the IT strategic planning in the hospitality industry.
PRAKARYA MEMBUAT MAINAN ANTI KORUPSI Ihsan, Mohammad; Prasetya Gunawan , Irwan; Hatta, Holila
Indonesian Journal of Social Responsibility Vol. 1 No. 02 (2019): December 2019
Publisher : LPkM Universitas Bakrie

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36782/ijsr.v1i02.12

Abstract

Studi ini berdasarkan kegiatan Pengabdian Kepada Masyarakat (PkM) yang dilakukan oleh Tim PKM Universitas Bakrie yang dilaksanakan pada Sabtu, 5 Januari 2019 di Desa Kaliurang, Yogyakarta. Peserta kegiatan adalah anak-anak usia sekolah dasar, dan materi yang diberikan untuk mereka berupa pengetahuan mengenai budaya anti korupsi melalui dua rangkaian kegiatan: 1) pembuatan prakarya berbagai macam model mainan/perangkat; dan 2) kegiatan game anti korupsi dengan menggunakan mainan/maket yang telah dibuat. Semua ini dilakukan agar peserta pelatihan yang kesemuannya terdiri atas anak usia sekolah dasar mendapatkan suasana yang menyenangkan agar bisa menerima materi pembelajaran dengan baik. Melalui pengalaman berinteraksi dengan orang lain, anak akan belajar memahami tentang kegiatan atau perilaku mana yang baik/boleh/diterima/disetujui atau buruk/tidak boleh/ditolak/tidak disetujui. Diharapkan bahwa dengan model pembelajaran yang baik dan tepat, akan terbentuk moral generasi penerus bangsa yang anti korupsi, berperilaku baik, dan jujur.
DETEKSI DISTORSI BLOK PADA GAMBAR DIGITAL TERKOMPRESI Irwan Prasetya Gunawan; Antony Halim
Jurnal Ilmu Komputer dan Informasi Vol 4, No 2 (2011): Jurnal Ilmu Komputer dan Informasi (Journal of Computer Science and Information)
Publisher : Faculty of Computer Science - Universitas Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (963.536 KB) | DOI: 10.21609/jiki.v4i2.166

Abstract

Pada penelitian ini, dikemukakan sebuah metode baru berbasis analisis multiresolusi untuk mendeteksi distorsi blok pada gambar digital terkompresi. Gambar digital terkompresi cenderung memiliki artefak codingyang mungkin muncul ketika gambar dikodekan dengan tingkat kompresi yang tinggi. Penelitian ini berfokus pada distorsi blok yang dirasakan signifikan dalam gambar digital terkompresi berbasis blok seperti JPEG. Pada penelitian ini, transformasi Wavelet Haar digunakan untuk mendekomposisi sebuah gambar dan menganalisis karakteristik tepian dari gambar tersebut. Berdasarkan dekomposisi ini, peneliti menyusun sebuah algoritma untuk mendeteksi distorsi blok dengan menganalisis koefisien hasil transformasi wavelet. Hasil eksperimen algoritma terhadap database gambar LIVE menunjukkanhasil yang sangat memuaskan dengan tingkat kesalahan yang rendah. In this study, presented a new method based on multiresolution analysis to detect the distortion of the block in a compressed digital image. Compressed digital image tend to have coding artifacts that may arise when an image is encoded with a high compression rate. This study focuses on a block distortion that significantly perceived in the block-based compressed digital images such as JPEG. In this study, Wavelet Haar transformation is used to decompose an image and analyze the characteristics of the edge of the picture. Based on this decomposition, the researchers compiled an algorithm for detecting a block distortion by analyzing the coefficients of the wavelet transformation. The results of experimental algorithms for image database LIVE shows very satisfactory results with low error rates.
IDENTIFIKASI DISTORSI BLUR PADA GAMBAR DIGITAL Irwan Prasetya Gunawan; Erik Kalalembang; Korendianto Usman
Jurnal Ilmu Komputer dan Informasi Vol 3, No 1 (2010): Jurnal Ilmu Komputer dan Informasi (Journal of Computer Science and Information)
Publisher : Faculty of Computer Science - Universitas Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1551.831 KB) | DOI: 10.21609/jiki.v3i1.136

Abstract

Salah satu masalah yang sering muncul dalam dunia fotografi adalah efek blur yang dapat diakibatkan baik oleh objek yang bergerak maupun gerakan kamera yang berhubungan dengan kecepatan rana (shutter speed) ketika gambar akan diambil. Paper ini menyajikan sebuah metode baru yang sederhana untuk mendeteksi kemunculan distorsi blur yang tidak diinginkan pada gambar digital. Metode yang diusulkan menggunakan transformasi discrete cosine transform (DCT) pada gambar yang telah mengalami distorsi dengan ukuran blok DCT yang bervariasi. Hasil dari pendeteksian ini kemudian digunakan untuk meningkatkan kualitas gambar melalui metode debluring berdasarkan korelasi pixel yang diterapkan pada area tertentu pada gambar yang mengandung distorsi blur ini. Hasil eksperimen menunjukkan bahwa kualitas gambar yang disempurnakan dihasilkan oleh metode debluring secara selektif menggunakan deteksi distorsi blur lokal akan lebih baik daripada yang tidak melalui proses seleksi. Dari berbagai ukuran blok yang digunakan dalam percobaan, blok berukuran 32×32 piksel menghasilkan kualitas gambar yang secara umum lebih baik. One of the problems that often arise in photography is a blurring effect that can be caused either by a moving object or camera movements that associated with the shutter speed when the picture is taken. This paper presents a simple new method for detecting the appearance of unwanted blur distortion in digital images. The proposed method uses the transformation of Discrete Cosine Transform (DCT) on the image that has been distorted with varying DCT block size. The results of the detection used to improve image quality through debluring method based on pixel correlation that applied to certain areas of the image that contains this blur distortion. The experimental results show that the enhanced picture quality produced by the method of selectively debluring using a local blur distortion detection is better than not through the selection process. From various block sizes used in the experiments, the block size of 32×32 pixel generates better picture quality.
Handwritten Digital Signatures Accuracy Enhancement Comparison on Android-Based Mobile Application Systems Rohajawati, Siti; Ismail , Aditya; Gunawan, Irwan Prasetya; Sitorus, Brian Arnesto
Indonesian Journal of Information Systems Vol. 7 No. 1 (2024): August 2024
Publisher : Program Studi Sistem Informasi Universitas Atma Jaya Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24002/ijis.v7i1.8641

Abstract

The research reported in this paper aimed to improve the quality, size ratio, and storage size of Digital Signatures (DS) used in the e-form Fumida app, a mobile application employed by PT Fumida Pestindo Jaya (Fumida) pest control, termite control, and fumigation services for data collection and verification. The application was developed using MADLC method for research and development of mobile application and utilized as a replacement for paper media used to fill in data related to work with the DS feature (e-signature), from which verification/authentication of the work results carried out by Fumida to its clients is given. The original DS, while replacing paper forms, suffered quality and accuracy loss when resized for printing, prompting the investigation of three methods to enhance their integrity. This process was subsequently examined using a questionnaire with the help of 22 respondents and calculation of questionnaire data. The results of our study showed that our model 3 emerged as the most effective solution, maintaining high image quality and accuracy even when resized.
Co-Authors Antony Halim Erik Kalalembang Hoga Saragih Holila Hatta Ismail , Aditya Korendianto Usman Mohammad Ihsan Siti Rohajawati, Siti Sitorus, Brian Arnesto Violitta Yesmaya