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All Journal Jurnal Penelitian dan Pengabdian Kepada Masyarakat UNSIQ Respati
Syamsul A Syahdan, Syamsul A
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Computer Science & IT Engineering Other

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PENGUKURAN KINERJA PENGGUNAAN TEKNOLOGI INFORMASI DI KEMENTERIAN KEUANGAN TIMOR-LESTE de Fatima, Rosalino Pereira; Rosidi, Abidarin; Syahdan, Syamsul A
Jurnal Teknologi Informasi RESPATI Vol 8, No 23 (2013)
Publisher : Universitas Respati Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (330.204 KB) | DOI: 10.35842/jtir.v8i23.63

Abstract

IT is crucially need for sustaining performance of any organization, particularly in Computer information system inventories and IT management assessing using COBIT 4.1. One of COBIT advantage is it has been applied globally and published as open standard to be used by any organization for IT performance assessment and its goal is relevant. However, its scope is very wide thus it is not necessary to use its domain objective control comprehensively; we can select on DS domain according to company requirement.Present research objectives are to assess performance level of computer-based IT usage in T-L Finance Ministry within COBIT framework, identify COBIT-based IT managements, and providing recommendation for IT management that appropriate for Finance Ministry work and goals bases on KGI and KPI. This recommendation is expected adding consideration he IT management on how appropriately managing IT to sustain staff service performance, particularly IT service. The performance of computer-based IT in T-L Finance Ministry is  drawn from analysis established by DS in COBIT framework. It reveals that DS 7 and DS 9 only achieved level 2 (two) of maturity, which means the process maturity not yet in expected level. IT management in T-L Finance Ministry had been perform optimally and gain maturity level on DS 1, 2, 3, 4, 5, 6, 8, 10, 11, 12, and 13; while DS 7 and 9 remain lack behind expectation.  Keywords: IT Audit, IT Governance, COBIT, KGI & KPI, Maturity Model
SISTEM PENDUKUNG KEPUTUSAN PEMBERIAN KREDIT USAHA MIKRO PADA BANK MANDIRI GOMBONG Fajri, Ika Nur; W, Bambang Soedijono; Syahdan, Syamsul A
Jurnal Teknologi Informasi RESPATI Vol 10, No 30 (2015)
Publisher : Universitas Respati Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35842/jtir.v10i30.128

Abstract

ABSTRAKKetepatan dan kecepatan dalam mengambil keputusan menjadi suatu keharusan pada proses penentuan kredit sehingga akan banyak nasabah yang akan menerima hasil, apakah diterima atau ditolak pengajuan kreditnya, karena semakin banyak nasabah yang mengajukan kredit.Penelitian ini mengimplementasikan algoritma naïve bayes untuk membantu menentukan siapa yang berhak mendapatkan kredit khususnya Kredit Usaha Mikro. Algoritma Naive Bayes merupakan salah satu algoritma yang terdapat pada teknik klasifikasi. Bayesian classification adalah pengklasifikasian statistik yang dapat digunakan untuk memprediksi probabilitas keanggotaan suatu class. Bayesian classification didasarkan pada teorema bayes yang memiliki kemampuan klasifikasi serupa dengan decission tree dan neural network. Bayesian classification terbukti memiliki akurasi dan kecepatan yang tinggi saat diaplikasikan ke dalam database dengan data yang benar. (Kusrini dan Luthfi, 2009).Hasil penelitian ini menunjukkan tingkat akurasi naïve bayes dalam memecahkan masalah pengajuan kredit sebesar 85,33 %.Kata kunci :SPK, Naive Bayesian, Klasifikasi
Co-Authors Abidarin Rosidi Baihaqy, M. Alif Muwafiq de Fatima, Rosalino Pereira Fajri, Ika Nur W, Bambang Soedijono