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All Journal International Journal of Electrical and Computer Engineering Jurnal Informatika Jurnal Teknik Elektro Seminar Nasional Aplikasi Teknologi Informasi (SNATI) Jurnal Ilmiah Informatika Komputer Jurnal Manajemen Teknologi Jurnal Momentum TELKOMNIKA (Telecommunication Computing Electronics and Control) Jurnal Teknologi Informasi dan Ilmu Komputer Journal of ICT Research and Applications International Journal of Advances in Intelligent Informatics Jurnal Teknobisnis Seminar Nasional Informatika (SEMNASIF) Journal of Information Systems Engineering and Business Intelligence The Asian Journal of Technology Management (AJTM) Indonesian Journal on Computing (Indo-JC) Proceeding of the Electrical Engineering Computer Science and Informatics JITTER (Jurnal Ilmiah Teknologi Informasi Terapan) Indonesian Journal of Electrical Engineering and Computer Science Jurnal Filsafat Indonesia Jurnal Teknik Informatika (JUTIF) International Journal of Social Service and Research Media Riset Akuntansi Auditing & Informasi Jurnal Komputer Bisnis

Kridanto Surendro

Institut Teknologi Bandung

Author-ID : 394454

Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Mechanical Engineering Social Sciences

Published : 45 Documents Claim Missing Document

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Title

Academic Cloud ERP Quality Assessment Model Kridanto Surendro; Olivia Olivia
International Journal of Electrical and Computer Engineering (IJECE) Vol 6, No 3: June 2016
Publisher : Institute of Advanced Engineering and Science

In the past few decades, educational institutions have been using conventional academic ERP system to integrate and optimize their business process. In this delivery model, each educational institutions are responsible of their own data, installation, and also maintenance. For some institutions, it might cause not only waste of resources, but also problems in management and financial aspects. Cloud-based Academic ERP, a SaaS-based ERP system, begin to come as a solution with is virtualization technology. It allows institutions to use only the needed ERP resources, without any specific installation, integration, or maintenance needs. As the implementation of Cloud ERP increases, problems arise on how to evaluate this system. Current evaluation approaches are either only evaluating the cloud computing aspects or only evaluating the software quality aspects. This paper proposes an assessment model for Cloud ERP system, considering both software quality characteristics and cloud computing attributes to help strategic decision makers evaluate academic Cloud ERP system.

Data prediction for cases of incorrect data in multi-node electrocardiogram monitoring Sugondo Hadiyoso; Heru Nugroho; Tati Latifah Erawati Rajab; Kridanto Surendro
International Journal of Electrical and Computer Engineering (IJECE) Vol 12, No 2: April 2022
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijece.v12i2.pp1540-1547

The development of a mesh topology in multi-node electrocardiogram (ECG) monitoring based on the ZigBee protocol still has limitations. When more than one active ECG node sends a data stream, there will be incorrect data or damage due to a failure of synchronization. The incorrect data will affect signal interpretation. Therefore, a mechanism is needed to correct or predict the damaged data. In this study, the method of expectation-maximization (EM) and regression imputation (RI) was proposed to overcome these problems. Real data from previous studies are the main modalities used in this study. The ECG signal data that has been predicted is then compared with the actual ECG data stored in the main controller memory. Root mean square error (RMSE) is calculated to measure system performance. The simulation was performed on 13 ECG waves, each of them has 1000 samples. The simulation results show that the EM method has a lower predictive error value than the RI method. The average RMSE for the EM and RI methods is 4.77 and 6.63, respectively. The proposed method is expected to be used in the case of multi-node ECG monitoring, especially in the ZigBee application to minimize errors.

Measuring information credibility in social media using combination of user profile and message content dimensions Erwin B. Setiawan; Dwi H. Widyantoro; Kridanto Surendro
International Journal of Electrical and Computer Engineering (IJECE) Vol 10, No 4: August 2020
Publisher : Institute of Advanced Engineering and Science

Information credibility in social media is becoming the most important part of information sharing in the society. The literatures have shown that there is no labeling information credibility based on user competencies and their posted topics. This study increases the information credibility by adding new 17 features for Twitter and 49 features for Facebook. In the first step, we perform a labeling process based on user competencies and their posted topic to classify the users into two groups, credible and not credible users, regarding their posted topics. These approaches are evaluated over ten thousand samples of real-field data obtained from Twitter and Facebook networks using classification of Naive Bayes (NB), Support Vector Machine (SVM), Logistic Regression (Logit) and J48 algorithm (J48). With the proposed new features, the credibility of information provided in social media is increasing significantly indicated by better accuracy compared to the existing technique for all classifiers.

Co-Authors , Ronaldi Adelia Adelia, Adelia Adiska Fardani Aradea Ari Fajar Santoso Ayu Purwarianti Basuki Sugiharto Basuki Sugiharto Cicely Martini Asihwardji Dicky Prima Satya Dimitri Mahayana Dwi H Widyantoro Dwi H. Widyantoro Effendi, Mohammad Ridwan Erwin B. Setiawan Erwin B. Setiawan Erwin S. Panjaitan Farrell Yodihartomo Febriantoro, Wicaksono Heru Nugroho Heru Nugroho Indra Lukmana Sardi Iping S Suwardi Iping Supriana Iping Supriana Iping Supriana Iping Supriana Suwandi Irawan, Aditya Putra Kristian Telaumbanua Ma'mun, Nurhayati Maniah Maniah Maria Irmina Prasetiyowati Megawati . Muhammad Shalahuddin Nur Ulfa Maulidevi Nurhajati Ma'mun Olivia Olivia Ririn Dwi Agustin Rita Rismala Ronaldi Ronaldi Roni Yunis Roni Yunis Roni Yunis Sakam, R. Djunaedy Sarifah Putri Raflesia Setiawan, Erwin B. Soni Fajar Surya G Sri Agustina Rumapea Sri Handayaningsih Stevanus Wisnu Wijaya Sugondo Hadiyoso Sukma Nirad, Dwi Welly Sunindyo, Wikan Danar Tati Latifah Erawati Rajab Wahyu Hidayat Walhidayah, Irfan Wawan Dhewanto Widyantoro, Dwi H Yudi Setiawan Yusep Rosmansyah

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