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Sudarmawan Sudarmawan
Magister Teknik Informatika Universitas Amikom Yogyakarta
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Electrical & Electronics Engineering

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Mendeteksi Kerentanan Keamanan Aplikasi Website Menggunakan Metode Owasp (Open Web Application Security Project) Untuk Penilaian Risk Rating Bahrun Ghozali; Kusrini Kusrini; Sudarmawan Sudarmawan
Creative Information Technology Journal Vol 4, No 4 (2017): Agustus-Oktober
Publisher : UNIVERSITAS AMIKOM YOGYAKARTA

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (403.261 KB) | DOI: 10.24076/citec.2017v4i4.119

Abstract

Mendeteksi kerentanan keamanan aplikasi berbasis website adalah hal yang penting, dan dapat memperkirakan resiko yang ada terhadap keberlangsungan suatu bisnis.  Terjadinya transisi bisnis tradisional ke dalam lingkup aplikasi berbasis website dimanfaatkan oleh beberapa pelaku kejahatan dunia maya dengan tujuan mencuri informasi rahasia pengguna demi keuntungan pribadi. Walaupun para developer sudah mencari permasalahan keamanan dengan menggunakan code review atau uji penetrasi. Terkadang masalah tidak akan ditemukan hingga aplikasi sudah masuk tahap produksi bahkan hingga aplikasi sudah diretas. Penelitian ini akan menerapkan  mekanisme metode asesmen resiko pada sistem informasi harga komoditas utama yang dibangun oleh PT.Gitsolution. Dimana sistem tersebut merupakan informasi harga pokok untuk kehidupan sehari-hari yang dikelola oleh salah satu instansi pemerintah yang ada di Indonesia. Untuk mengetahui tingkat resiko pada sistem informasi harga komoditas utama menggunakan metode Open Web Application Security Project (OWASP) Risk Rating untuk mendeteksi kerentanan keamanan pada aplikasi berbasis website. Penelitian ini menghasilkan tingkat resiko pada aplikasi berbasis website.Kata kunci— Vulnerability – OWASP, Risk Rating, Security Assessment.
Determination of receipt of UPZ assistance using the SAW method Ahmad Wildan Listyanto; Kusrini Kusrini; Sudarmawan Sudarmawan
International Journal Artificial Intelligent and Informatics Vol. 1 No. 1 (2018)
Publisher : Research and Social Study Institute (ReSSI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (693.21 KB) | DOI: 10.33292/ijarlit.v1i1.9

Abstract

Zakat has a very strategic position in giving the impact of welfare and improving the community's economy if the collection and distribution are managed in trustworthy, transparent and professional. An institution on zakat management is National Zakat Agency (BAZNAS), which an institution manages the zakat management nationally, and non-structural government institution that is independent and responsible to President through the Minister of Religion. BAZNAS is located in capital city and assisted by zakat collection unit (UPZ). Along this time, they conduct manually in determining the person who will receive the assistance, but it often occur errors in its implementation. Therefore, a decision support system is needed to assist UPZ in determining the person who will receive the assistance. The decision support system was designed using SAW (Simple Additive Weighting) method, then the administrators obtain an alternative data in the form of lists of students who receive the UPZ assistance. The SAW algorithm is an algorithms for decision making. The SAW algorithm is also known as an algorithm with additive weighting method. The method requires normalization process of decision matrix (x) into a scale and can be compared to the entire available alternative ratings. The study showed that SAW can be applied to determine the acceptance of UPZ assistance by the calculation results of 16. The result of calculation and recommendation of decision support system for person who receive the UPZ acceptance, have the same data on output, namely Astin Dwi Wulan.
Co-Authors Ahmad Wildan Listyanto Bahrun Ghozali Kusrini Kusrini