M. Rudyanto Arief
Universitas Amikom Yogyakarta

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Analisis Kualitas Sistem Berdasarkan Persepsi Pengguna Pada Website www.amikompurwokerto.ac.id Menggunakan HOT FIT Model Dinar Mustofa; Arief Setyanto; M. Rudyanto Arief
Jurnal Ilmiah IT CIDA Vol 4, No 2: Desember 2018
Publisher : STMIK Amikom Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (707.624 KB) | DOI: 10.55635/jic.v4i2.83

Abstract

Penelitian ini dilakukan untuk menganlisis kualitas sistem berdasarkan persepsi pengguna pada website di STMIK AMIKOM Purwokerto dengan menggunakan HOT FIT Model. Variabel yang akan digunakan adalah dari sisi Teknologi, yaitu kualitas sistem / system quality yang meliputi  data accuracy, data currency, database contents, ease of use, ease of learning, availability, usefulness of system features and functions, flexibility Realibility, technical support, security, efficenency, resource utilization, response time, turnearound time. Hasil penelitian dari variabel kualitas sistem diambil dari hasil kuesioner yang didapat dari data kuesioner kepuasan pengguna.  Kata Kunci: website, kualitas sistem, HOT FIT Model
EVALUASI TINGKAT PENERIMAAN SISTEM INFORMASI YUDISIUM MENGGUNAKAN METODE TAM Sri Handayani; Kusrini Kusrini; M. Rudyanto Arief
Informasi Interaktif Vol 2, No 2 (2017): Jurnal Informasi Interaktif
Publisher : Universitas Janabadra

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Abstract

This study aims to determine the level of acceptance of judicial Information system at the Bureau of Academic Administration and Student Affairs Muhammadiyah University of Bengkulu. Population in this research are employees of BAAK, Staff of Department, Head Of Departement and students who interact directly with the judicial information system Samples taken as many as 68 respondents using slovin techniques with employee details of 28 people and 40 students. This research was conducted by using Technology Acceptance Model method by distributing questionnaire, with the number of samples were 68 respondents. Data analysis technique is done by using SEM technique and Partial Least Square (PLS) approach. The results showed that the variable Perceived Complexity Using the System positively influenced Attitude Toward Using the System and Behavioral Intention to Use the System. This variable can affect the user acceptance rate of 49.9%. Based on the results of the research, the Administrative Bureau of Academic and Student Affairs (BAAK) and Integrated Service Unit of Computer Information Technology (UPT TIK) of Muhammadiyah University of Bengkulu should improve aspects of Perceived Complexity Using the System, to increase the acceptance level of the judicium information system. Keywords: TAM Method, Evaluation of acceptance level of Yudicium Information System, SIAKAD UMB
ANALISIS PENERIMAAN SISTEM E-LEARNING MENGGUNAKAN TECHNOLOGY ACCEPTANCE MODEL (TAM) Surya Ade Saputera; Ema Utami; M. Rudyanto Arief
Informasi Interaktif Vol 2, No 2 (2017): Jurnal Informasi Interaktif
Publisher : Universitas Janabadra

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Abstract

E-learning is a new way in teaching and learning process that uses electronic media especially internet as a learning system .. E-learning University of Muhammadiyah Bengkulu is an online learning for students of Muhammadiyah University of Bengkulu. This study aims to analyze the level of user acceptance of the use of E-learning system using TAM method through SEM analysis and what recommendations can be given as input to the campus of the elearning system used. The research method used is descriptive analysis. Data analysis is done by SEM (Structural Equation Modeling) with AMOS (Analysis of Moment Structure) software. The results showed the level of user acceptance in using the UMB Elearning is on a high scale but at a low level that is an average of below 3 (1-4 scale). Factors influencing user acceptance in using E-learning System of University of Muhammadiyah Bengkulu by using Technology Acceptance Model (TAM) is Perceived Ease Of Use (PEOU) or ease of use and Attitude Toward Using (ATU) or user attitude in using E-learning system. From these results resulted in improved recommendations on the application of Elearning through User Interface approach which is expected to increase the usefulness of the application.Keywords: E-learning,  Technology Acceptance Model (TAM), SEM
PERENCANAAN RENCANA STRATEGIS SISTEM INFORMASI UNTUK TERCAPAINYA VISI MISI DARI RUMAH SAKIT Siska Febriani; Bambang Soedijono; M. Rudyanto Arief
Informasi Interaktif Vol 4, No 3 (2019): Jurnal Informasi Interaktif
Publisher : Universitas Janabadra

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Abstract

XXX Regional General Hospital (RSUD XXX) is a Type B Hospital in Yogyakarta. XXX Hospital is the only place of reference for further treatment of patients who feel they need more sophisticated handlers. In 2016 the XXX Hospital was requested by the DIY Health Office to improve facilities and services. In following up on the request of the Yogyakarta Health Office, the RSUD XXX is currently in the process of building a building structure. However, from the increase in infrastructure built it has not been accompanied by the development of adequate technological infrastructure. From the description of the above problems, the purpose of this study is to make a strategic plan to align business objectives with the business process of the RSUD. The limitation of the problem is that in this study the researcher used the Zachman framework with matrix tables 1 to 4 (Scope, Enterprise Model, System Model, Technological Model). The final results of this study are the main activities of the XXX hospital including registration, outpatient care, hospitalization, emergency services, laboratory services, drug services, hospital services, outpatient registration and inpatient registration. Whereas for supporting activities are the procurement of logistics, tools and materials, medical workers requitment, information services. There are 7 applications that are suggested to be developed, namely the Registration application, BPJS, Poly Unit, Laboratory, E-Billing, Medical Support. Keywords: Architecture Enterprise, Informatic System, Hospital
ANALISIS LAYANAN STRATEGIC YANG MEMPENGARUHI SIKAP PENGGUNA SISTEM INFORMASI UNIVERITAS DEHASEN BENGKULU Dwinda Etika Profesi; Kusrini Kusrini; M. Rudyanto Arief
Informasi Interaktif Vol 3, No 3 (2018): Jurnal Informasi Interaktif
Publisher : Universitas Janabadra

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Abstract

Information system is a system within an organization that brings together the needs of daily transaction processing, supports managerial operations, and strategic activities of an organization and provides certain outside parties with the necessary reports. One of them is Dehasen Bengkulu University that uses and utilizes information systems as a medium of information and to support academic activities. This study aims to conduct a behavior analysis of users of the Dehasen University information system in Bengkulu using the UTAUT method.This research was conducted using a quantitative method, with the population being students at Dehasen University in Bengkulu. The data analysis technique in this study used data normality test, multicollinearity test and Heteroscedacity test.From the results of the discussion after passing the data analysis test using the UTAUT method, it was found that the variable Performance Expectancy, Effort Expectancy had an effect on Behavior Intention and Facilitating Condition that affected the Use Behavior. Keywords:  Dehasen University Bengkulu, Information System,Students, UTAUT 
Cross-site Scripting Attack Detection Using Machine Learning with Hybrid Features Dimaz Arno Prasetio; Kusrini Kusrini; M. Rudyanto Arief
JURNAL INFOTEL Vol 13 No 1 (2021): February 2021
Publisher : LPPM INSTITUT TEKNOLOGI TELKOM PURWOKERTO

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20895/infotel.v13i1.606

Abstract

This study aims to measure the classification accuracy of XSS attacks by using a combination of two methods of determining feature characteristics, namely using linguistic computation and feature selection. XSS attacks have a certain pattern in their character arrangement, this can be studied by learners using n-gram modeling, but in certain cases XSS characteristics can contain a certain meta and synthetic this can be learned using feature selection modeling. From the results of this research, hybrid feature modeling gives good accuracy with an accuracy value of 99.87%, it is better than previous studies which the average is still below 99%, this study also tries to analyze the false positive rate considering that the false positive rate in attack detection is very influential for the convenience of the information security team, with the modeling proposed, the false positive rate is very small, namely 0.039%
PREDIKSI PERFORMA MAHASISWA MENGGUNAKAN ALGORITMA NAIVE BAYES CLASSIFIER Hasnan Afif; Kusrini; M. Rudyanto Arief
Jurnal Teknomatika Vol 11 No 2 (2019): TEKNOMATIKA
Publisher : Fakultas Teknik dan Teknologi Informasi, Universitas Jenderal Achmad Yani Yogyakarta

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Abstract

Salah satu dalam menentukan performa mahasiswa dapat dilihat dari ketepatannya dalam menyelesaikan masa studinya di universitas. Penelitian ini bertujuan untuk melakukan klasifikasi terhadap data mahasiswa Universitas Amikom Yogyakarta Fakultas Ilmu Komputer angkatan 2012 dan 2013 jenjang S1 dengan memanfaatkan proses data mining dengan menggunakan teknik klasifikasi. Algoritma yang digunakan untuk klasifikasi kelulusan adalah algoritma Naïve Bayes, dimulai dari proses Diagnosing, Action Planning, Action Taking, Evaluating dan Specifying Learning. Penelitian ini juga bertujuan untuk menemukan faktor-faktor yang mempengaruhi prediksi kelulusan mahasiswa melalui data kinerja akademik mahasiswa dan beberapa variabel lainnya. Variabel yang digunakan adalah Jenis Kelamin, umur, asal sekolah, IPS1(Indeks Prestasi Semester satu) sampai dengan IPS4, SKS, IPK, dan kehadiran. Pengujian data dalam penelitian ini adalah sebanyak 1170 data, 936 data digunakan untuk data training dan 234 data untuk data testing dengan menggunakan 5 k fold cross validation Hasil pengujian menunjukkan bahwa faktor yang paling berpengaruh dalam penentuan klasifikasi kinerja akademik mahasiswa yaitu SKS dengan nlaai akurasi 96,15%, umur 79,02%, IPK 77,72%, dan kehadiran 77,67%. Dalam penelitian ini hasil yang dicapai dalam penerapan metode algoritma Naïve Bayes menggunakan seluruh variabel dengan tingkat akurasi sebesar 93,93% kemudian setelah menggunakan variabel terbaik akurasi meningkat menjadi 96,15%.