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All Journal JURNAL SISTEM INFORMASI BISNIS Techno.Com: Jurnal Teknologi Informasi Jurnal Sistem dan Informatika Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) INTENSIF: Jurnal Ilmiah Penelitian dan Penerapan Teknologi Sistem Informasi JURNAL TEKNIK INFORMATIKA DAN SISTEM INFORMASI JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) Journal of Innovation in Business and Economics Building of Informatics, Technology and Science Sosiohumanitas: Jurnal Ilmu-Ilmu Sosial dan Humaniora Jurnal Manajemen Kewirausahaan Indonesian Journal of Electrical Engineering and Computer Science BERNAS: Jurnal Pengabdian Kepada Masyarakat eProceedings of Engineering Community Service Seminar and Community Engagement (COSECANT) Journal of Health Research and Technology Guidance: Jurnal Bimbingan dan Konseling
Yudi Priyadi
Univesitas Telkom
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Journal : JURNAL SISTEM INFORMASI BISNIS

 1 
Analisis dan Pengukuran Kualitas Informasi Pada Website Menggunakan Pendekatan Six Sigma Faisal, Bagus; Candiwan, Candiwan; Priyadi, Yudi
JSINBIS (Jurnal Sistem Informasi Bisnis) Vol 8, No 1 (2018): Volume 8 Nomor 1 Tahun 2018
Publisher : Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (214.837 KB) | DOI: 10.21456/vol8iss1pp84-91

Abstract

Information held by a company is one of the important factors for its success. Nowadays with rapid development of usage of internet and social media, bad information can also have a significantly negative impact on every element / level that exists in the company or in the community. Sometimes it can lead to public unrest. Bad or good information has correlation with the quality of information. The aim of this research  is to assest and analyze  the quality of information using Six Sigma approach and we choose Kaskus website as a case study. Kaskus is the largest community online in Indonesia. It provided various kinds of information to its user. By using its approach, this research consists of 5 stages, they are “define”, “measure”, “analysis”, “improve”, and “control”. Each phase/stage using different tools to assess the current Information Quality, such as questionnaires for define phase, “Expert Choice”(Analytic Hierarchy Process) for measure phase, and quality function deployment (QFD) for analysis stage. Questionnaires used for defining customer specifications and identify information quality problem, meanwhile software “Expert Choice” used to measure the importance each quality information dimensions and then to validate/analyzise the problem of the data. And lastly, QFD used to determine the mutual relationships of information quality dimensions and critical to Information Quality factors. Output of “Analyze” stage shows that Accuracy, Relevancy, and Objectivity dimension on Kaskus website need to be improved immediately because it reaches unacceptable point.
Analisis Sistem Manajemen Keamanan Informasi Menggunakan ISO/IEC 27001 : 2013 Serta Rekomendasi Model Sistem Menggunakan Data Flow Diagram pada Direktorat Sistem Informasi Perguruan Tinggi Yuze, Yuni Cintia; Priyadi, Yudi; Candiwan, Candiwan
JSINBIS (Jurnal Sistem Informasi Bisnis) Vol 6, No 1 (2016): Volume 6 Nomor 1 Tahun 2016
Publisher : Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (725.713 KB) | DOI: 10.21456/vol6iss1pp38-45

Abstract

The importance of information and the possible risk of disruption, therefore the universities need to designed and implemented of the information security.  One of the standards that can be used to analyze the level of information security in the organization is ISO/IEC 27001 : 2013 and this standard has been prepared to provide requirements for establishing, implementing, maintaining and continually improving an information security management system. The objective of this research is to measure the level of information security based on standard ISO/IEC 27001: 2013 and modeling systems for information security management. This research uses descriptive qualitative approach, data collection and validation techniques with tringulasi (interview, observation and documentation). Data was analyzed using gap analysis and to measure the level of maturity this research uses SSE-CMM (Systems Security Engineering Capability Maturity Model). Based on the research results, Maturity level clause Information Security Policy reaches level 1 (Performed-Informally), clause Asset Management reaches level 3 (Well-Defined), clause Access Control reaches level 3 (Well-Defined), clause Physical and Environmental Security reaches level 3 (Well-Defined), clause Operational Security reaches level 3 (Well-Defined), Communication Security clause reaches the level 2 (Planned and Tracked). Based on the results of maturity level discovery of some weakness in asset management in implementing the policy. Therefore, the modeling system using the flow map and CD / DFD focused on Asset Management System.
Pengukuran Kesadaran Keamanan Informasi Dan Privasi Pada Pengguna Smartphone Android Di Indonesia Akraman, Robbi; Candiwan, Candiwan; Priyadi, Yudi
JSINBIS (Jurnal Sistem Informasi Bisnis) Vol 8, No 2 (2018): Volume 8 Nomor 2 Tahun 2018
Publisher : Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (342.194 KB) | DOI: 10.21456/vol8iss2pp115-122

Abstract

Based on statistical data, it is known that Android is the most popular smartphone with the largest number of users in the world, which is about 1.8 billion users. The high number of users also invite the many cases of information security and privacy caused by the lack of awareness of the user such as : spam, spoofing/phising, network incident, malware, uploading something personal data such as photos, phone numbers, addresses or having no antivirus. This study aims to find out about the awareness of the security of information and privacy of Android smartphone users by doing measurement of problem. The awareness has  some dimensions such as attitude, knowledge and behavior with the seven focus areas of information security namely trust in app repository, misconception about app testing, security and agreement message, pirated application, adoption Security control, spam sms and report of security incidents and three focus areas of privacy are perceived surveillance, perceived intrusion, secondary use of information. This research uses analytical hierarchy process (AHP) to measure the level of awareness of information security and privacy of smartphone users. Overall, the results of the research show that information security has an average level of awareness (71%) but the focus area of report for security incidents has a poor level of awareness (37%) this occur because users prefer to solve their own information security issues experienced and privacy has an average level of awareness (76%). However, for secondary use of information in attitude dimension has low awareness level (66%). Based on the results of this study, it can be concluded that smartphone users in Indonesia have a poor awareness level in maintaining security and privacy of their information. 
Perancangan Model Data Flow Diagram Untuk Mengukur Kualitas Website Menggunakan Webqual 4.0 Hapsari, Karina; Priyadi, Yudi
JSINBIS (Jurnal Sistem Informasi Bisnis) Vol 7, No 1 (2017): Volume 7 Nomor 1 Tahun 2017
Publisher : Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (398.62 KB) | DOI: 10.21456/vol7iss1pp66-72

Abstract

The more competition the e-commerce company and the development of technology company in Indonesia, website of Zalora Indonesia traffic rank declining. Measuring the quality of website by using WebQual 4.0 will help manage the web to be able to adjust the quality of the web with user perception.  The research aims to make design of Data Flow Diagram model to measure website quality using WebQual 4.0 based on user satisfaction variable. A case study was conducted on the Zalora Indonesia website. Data Flow model is used to make design of system model recommendation, while WebQual 4.0 method is used to measure website quality to user satisfaction. The research data using primary data in the form of questionnaires involving 384 respondents in the city of Bandung who had transacted on the website Zalora Indonesia. Data analysis technique applies descriptive analysis. Based on the research result on the quality of the website Zalora Indonesia, simultaneous positive and significant impact on user satisfaction Zalora Indonesia website. t test result showed that three variables partially have a posotive impact on user satisfaction Zalora Indonesia website is usability quality, information quality and service interaction quality, with Information quality variable has largest impact. Therefore, the modeling system using the Context Diagram-Data Flow Diagram focused on information quality variable. 
Analisis Prediksi Kebangkrutan Perusahaan Menggunakan Artificial Neural Network Pada Sektor Pertambangan Batubara Nurdini, Rizki Amalia; Priyadi, Yudi; ., Norita
JSINBIS (Jurnal Sistem Informasi Bisnis) Vol 8, No 1 (2018): Volume 8 Nomor 1 Tahun 2018
Publisher : Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (374.321 KB) | DOI: 10.21456/vol8iss1pp107-114

Abstract

Indonesia’s coal mining industry has been decreased since the last five years and causing the financial performance of companies in the industry to deteriorate. The aim of this paper is to analyze the bankruptcy prediction on coal mining sector companies listed in Indonesia Stock Exchange (IDX) in 2012 – 2016 using data mining prediction method that is artificial neural network model with three financial ratios as an input parameter. The financial ratios used are shareholder’s equity ratio, current ratio and return on assets. The results indicate that these ratios are very suitable to be used as an input parameter because it shows a quite significant difference in calculation results between bankrupted and non-bankrupted companies.The ANN training model used in the prediction process in this study resulted in the best training performance with the model architecture of 15 neurons on input layer and one hidden layer with 30 neurons in it. The training model produces training performance with the lowest MSE of 0,000000313 and the highest R of 99,9%. Bankruptcy prediction result using ANN showed that 7 (seven) coal mining sector companies are predicted to be bankrupt
Co-Authors ., Norita Abdurrahman Al Afifi Akraman, Robbi al-Jaberi, Musheer Angelia Brigitta Maharani M.P Candiwan Dewi, Karina Hasya Utami Diva, Fadel Dwi Endrasto Wibowo Dwi, Dawam Eko Darwiyanto Elengoe, Asita Faisal, Bagus Gede Agung Ary Wisudiawan Gustiana Ayuni Putri Hafiz Izzamufid Ash Siddiqi Hapsari, Karina Indira Firli Widodo Jayadi Jayadi Kamila, Dhiya Kanji Prasetiyo Khairin, Amal Kusumo, Dana Sulistyo M. Mujahid Biagi Usama Mahendra Dwifebri Purbolaksono Marisa, Dewi Erna Memi Dwi Kartika Muhamad f Martasubrata Muhammad Johan Alibasa Nurdini, Rizki Amalia Nurtantyana, Rio NURUL AZIZAH Pramoedya Syachrizalhaq Lyanda Pramoedya Syachrizalhaq Lyanda Radiansyah, Ikhsan Rio Nurtantyana Rizka Widyarini Purwanto Rosa Reska Riskiana Shinta Yulia Puspitasari Sukmawati, Riska Tetuko Muhammad Hanurogo Wahyuni, Santi Yuli Triastuti Yuni Cintia Yuze, Yuni Cintia