cover
Article Per Year (5 Year)
All
Home Page
OAI Link
Editorial Team
Contact
Reviewer
Google Scholar
Contact Name
Hapnes Toba
Contact Email
hapnestoba@it.maranatha.edu
Phone
+6222-2012186
Journal Mail Official
hapnestoba@it.maranatha.edu
Editorial Address
Fakultas Teknologi dan Rekayasa Cerdas Universitas Kristen Maranatha Jl. Prof. Drg. Suria Sumantri No. 65 Bandung
Location
Kota bandung,
Jawa barat
INDONESIA
JuTISI (Jurnal Teknik Informatika dan Sistem Informasi)
Published by Universitas Kristen Maranatha
ISSN : 24432210     EISSN : 24432229     DOI : https://doi.org/10.28932/jutisi
Core Subject : Science,
Computer Science & IT
Paper topics that can be included in JuTISI are as follows, but are not limited to: • Artificial Intelligence • Business Intelligence • Cloud & Grid Computing • Computer Networking & Security • Data Analytics • Datawarehouse & Datamining • Decision Support System • E-Systems (E-Gov, E-Health, E-Commerce, etc.) • Enterprise System (SCM, ERP, CRM) • Human-Computer Interaction • Image Processing • Information Retrieval • Information System • Information System Audit • Enterprise Architecture • Knowledge Management • Machine Learning • Mobile Computing & Application • Multimedia System • Open Source System & Technology • Semantic Web & Web 2.0
Arjuna Subject : Ilmu Komputer (semua kategori) - Aplikasi Ilmu Komputer
Articles 479 Documents
 26   27   28   29   30 
Continuous Integration and Continuous Delivery Platform Development of Software Engineering and Software Project Management in Higher Education Sendy Ferdian; Tjatur Kandaga; Andreas Widjaja; Hapnes Toba; Ronaldo Joshua; Julio Narabel
Jurnal Teknik Informatika dan Sistem Informasi Vol 7 No 1 (2021): JuTISI
Publisher : Maranatha University Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28932/jutisi.v7i1.3254

Abstract

We present a report of development phase of a platform which aims to enhance the efficiency of software project management in higher education. The platform accommodates a strategy known as Continuous Integration and Continuous Delivery (CI/CD). The phase consists of several stages, followed by testing of the system and its deployment. For starters, the CI/CD platform will be deployed for software projects of students in the Faculty of Information Technology, Universitas Kristen Maranatha. The goal of this paper is to show a design of an effective platform for continuous integration and continuous delivery pipeline to accommodate source code compilation, code analysis, code execution, until its deployment, all in a fully automated fashion.
Evaluasi Tata Kelola Guna Meningkatkan Kinerja Manajemen Teknologi Informasi Menggunakan Framework COBIT 5 Fitria Febriani; Augie David Manuputty
Jurnal Teknik Informatika dan Sistem Informasi Vol 7 No 1 (2021): JuTISI
Publisher : Maranatha University Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28932/jutisi.v7i1.3260

Abstract

The Salatiga Class I District Court is a government agency that has implemented Information Technology (IT) governance which has problems in IT management, so the purpose of this study is to evaluate information technology governance using the COBIT 5 framework by determining the level of capability and gaps. The results of the recapitulation of the questionnaire with the Likert scale model obtained the average value of the selected domain getting a value of 3.28, which means that the current level of capability (as is) is at level 3 (established process), while the numbers from the range of 0 to 5 levels are expected or target (to be) namely 5 (optimization process). So that a gap or gap is obtained, namely the value of 1.27 which results in a reduction between to be and as is. The selected process domain is in the highest position, namely DSS01 with a value of 3.80 or level 4 (predictable process) while the lowest position is APO12 with a value of 2.82 or level 3 (established process). To achieve the expected conditions, the IT subdivision can improve in dealing with IT risks and IT problems that occur in the Salatiga District Court Class I B. In addition to evaluating IT governance, testing system functionality is also carried out by using the Blackbox Testing method with the Boundary Value Analysis technique. The object is used for testing the system, namely­ e-Court tested on the registration page and login page. From the results of system testing­ e-Court On the registration page, there is a discrepancy in the expected name field and on the login page that the test results ­field - field as expected. Keywords — Information Technology Governance; COBIT 5; e – Court; Blackbox Testing; Boundary Value Analysis.
Pengembangan Knowledge Management System dengan Teknik Information Retrieval Try Atmaja Linggan Jaya; Mewati Ayub
Jurnal Teknik Informatika dan Sistem Informasi Vol 7 No 1 (2021): JuTISI
Publisher : Maranatha University Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28932/jutisi.v7i1.3316

Abstract

Useful data sets can be used as information to solve problems or share knowledge with others. In the case of companies implementing the new system, many input errors, or not knowing the workflow of the program, are experienced repeatedly by the same person or people in the same department. Besides that, with the entry of new employees, it takes time to adapt and how to solve the problem. To solve it, a place is needed to record problems and their solutions, or share knowledge, both for old and new employees as 'First Aid'. Knowledge Management System application is expected to help solve the problems as a place to collect data which contains errors, cause and solving; business flow; user authorization; etc. The data used, using data from a collection of tickets, personal messages or e-mail, and knowledge owned by the user, will be entered into the database as a storage place for knowledge. In the input process, each word will be broken down based on the character 'space', tokenizing, filtering, and VSM and then entered into the database. Users can search for information or knowledge by entering keywords or sentences according to user needs, then the input will be processed by tokenizing, filtering, and calculating the length using VSM. After getting the input length, the results will use the TF-IDF algorithm and cosine similarity, and the system will display the results in list form and see the details if the results from the list are selected.
Prediksi Penyebaran Informasi di Twitter dengan Metode Pembelajaran Mesin dengan Fitur Linimasa Lucky Surya Haryadi; Bernard Renaldy Suteja
Jurnal Teknik Informatika dan Sistem Informasi Vol 7 No 1 (2021): JuTISI
Publisher : Maranatha University Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28932/jutisi.v7i1.3324

Abstract

Abstract — Social Media Network has been an important information source, and the information propagation within the network gave an impact on politics, marketing, and entertainment industry. Our aim is to predict a tweet whether the information will be propagated further. The previous research has focused on analyzing this task with a wide range of learning methods and features, such as content and account features. Timeline features are proposed as features that can further predict information propagation and as we compared the performance with content and account features. The dataset consists of 43.229 tweets, we predict the information propagation with logistic regression, support vector machines, and random forest learning method with these features. Our result indicates that the timeline feature can be a good candidate for predicting information propagation and the random forests learning method consistently performs better. From the training result, we further calculate feature importance. Recently tweets, engagement with another user and previous liked tweets on the timeline features contributed to more popular tweets.
Pengaruh Preprocessing Terhadap Klasifikasi Diabetic Retinopathy dengan Pendekatan Transfer Learning Convolutional Neural Network Juan Elisha Widyaya; Setia Budi
Jurnal Teknik Informatika dan Sistem Informasi Vol 7 No 1 (2021): JuTISI
Publisher : Maranatha University Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28932/jutisi.v7i1.3327

Abstract

Diabetic retinopathy (DR) is eye diseases caused by diabetic mellitus or sugar diseases. If DR is detected in early stage, the blindness that follow can be prevented. Ophthalmologist or eye clinician usually decide the stage of DR from retinal fundus images. Careful examination of retinal fundus images is time consuming task and require experienced clinicians or ophthalmologist but a computer which has been trained to recognize the DR stages can diagnose and give result in real-time manner. One approach of algorithm to train a computer to recognize an image is deep learning Convolutional Neural Network (CNN). CNN allows a computer to learn the features of an image, in our case is retinal fundus image, automatically. Preprocessing is usually done before a CNN model is trained. In this study, four preprocessing were carried out. Of the four preprocessing tested, preprocessing with CLAHE and unsharp masking on the green channel of the retinal fundus image give the best results with an accuracy of 79.79%, 82.97% precision, 74.64% recall, and 95.81% AUC. The CNN architecture used is Inception v3.
Pendeteksian Citra Pengunjung Menggunakan Single Shot Detector untuk Analisis dan Prediksi Seasonality Deon Diamanta; Hapnes Toba
Jurnal Teknik Informatika dan Sistem Informasi Vol 7 No 1 (2021): JuTISI
Publisher : Maranatha University Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28932/jutisi.v7i1.3329

Abstract

This study discusses the analysis of retail store with time series method to obtain information about sales trend and seasonality by looking at visitor data and total transaction data at a time period. Data in the form of the number of customers who visit are obtained through CCTV video camera recordings placed at retail store X and the total transaction occurred at retail store X. The visitor counting uses the deep learning method with SSD (Single Shot Detector) object detection framework and MobileNet architecture. The library used to count the number of customers visiting the store is OpenCV, Pandas, Numpy, Dlib, and Imutils. The number of customers visiting the store will then be compared to the number of transactions that occur at the same time so that a conversion rate can be obtained. From here, we can see sales trend that occur at any time. Time series analysis is also carried out to determine and analyze the pattern of data obtained based on certain time to predict the things that need to be done in the future. Through this research, information has been successfully obtained related to seasonality patterns, value and interpretation of retail conversion rates, models for predicting the number of visitors and transactions, and answering the hypothesis with the Wilcoxon test method obtained a p-value of 0,014 which states that the data pattern of the number of consumers is not the same as the transaction data pattern.
Pengujian dan Model Penerimaan Aplikasi Web Mapping System Lahan Pertanian Delfia Balisa; Rosa Delima; Antonius Rachmat Chrismanto; Halim Budi Santoso
Jurnal Teknik Informatika dan Sistem Informasi Vol 7 No 1 (2021): JuTISI
Publisher : Maranatha University Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28932/jutisi.v7i1.3336

Abstract

The entry of technology in agriculture also has a big influence in supporting farmers in making their work easier. Many agricultural systems are formed that can encourage the success of farming productivity, such as an example of a system for collecting farmer data and farming activities, a land management system, land preparation so that a system that provides information as learning for farmers and farmer groups. In this study, the usability test and acceptance test of the web application mapping system for agricultural land will be carried out to see the level of reusability and the level of acceptance of the system. Usability testing uses the usability testing method, while acceptance testing uses the technology acceptance model method and uses an eye tracker in testing and the Partial Least Square software to process data. The results of this study indicate the level of usability of the combining metrics task success is 93%, time on task is 43%, error is 60% and efficiency is 70%. For the results of the acceptance test, it was obtained that two of the five hypotheses had a significant and significant influence, namely the perceived ease of perception on the perceived usefulness and the perceived attitude of use towards behavioral interest.
Form Recognition dan Character Mapping Menggunakan Image Segmentation dan Optical Character Recognition Christian Wibisono; Setia Budi
Jurnal Teknik Informatika dan Sistem Informasi Vol 7 No 1 (2021): JuTISI
Publisher : Maranatha University Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28932/jutisi.v7i1.3340

Abstract

Industry 4.0 revolve the way of thinking in manufacturing factory business. Speed and accuracy become the main focus to survive and To growth. This study aims to build a blue print of an system that will increase both speed and accuracy in form input. This research will use several computer vision technologies like CNN that will used to do form classification and image segmentation, there is also OCR that will take specific information from a document that have been classified with CNN and then transform it into a JSON format which have more generic format and can be used in most common platform.
Pembangunan Dashboard untuk Mendukung Analisis Kartu Rencana Studi dan Kartu Hasil Studi Mahasiswa Debora Syebat Nazir; Gloria Virginia; Restyandito Restyandito; Agata Filiana; Andhika Galuh Prabawati
Jurnal Teknik Informatika dan Sistem Informasi Vol 7 No 1 (2021): JuTISI
Publisher : Maranatha University Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28932/jutisi.v7i1.3355

Abstract

At the beginning of every semester, students register for their classes resulting in KRS (student study plan) and at the end of the semester, they will receive KHS (academic transcript). KRS and KHS are recorded into the university’s system to be used for different kinds of analysis including strategic planning and accreditation. The purpose of this research is to create a dashboard to visualize data from KRS and KHS based on several Key Indicator Performance (KPI) using goal-directed design method. Performance metrics method is used to evaluate the user interface of the dashboard with 71% binary success. User Experience Questionnaire (UEQ) is also used to evaluate user experience showing scores of 1.96, 1.93, 1.77, 1.88 and 1.86 for attraction, stimulation, novelty, clarity and efficiency, respectively. These scores can be translated using the Comparison to Benchmark Scale table which shows good for both clarity and efficiency, and excellent for attraction, stimulation and novelty.
Penerapan Metode Profile Matching untuk Pendukung Keputusan Pemilihan Manajer Information Technology Anita Diana; Dwi Achadiani; Hendri Irawan
Jurnal Teknik Informatika dan Sistem Informasi Vol 7 No 1 (2021): JuTISI
Publisher : Maranatha University Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28932/jutisi.v7i1.3393

Abstract

The selection of an IT manager in a company has an important role in a decision, because a manager occupies a managerial level position who will make decisions later. The current process of selecting IT managers is still being carried out conventionally, resulting in several problems. Among them, the assessment is carried out manually so that the calculation process can occur errors and take longer, then which alternative is the best according to the recommendation of the decision support system (DSS) application. To overcome some of these problems, a DSS was designed which resulted in more precise and effective decisions. The method used is the Profile Matching method which is used to determine alternative rankings, where the criteria and weight values ??have been determined and are contained in the assessment document. This research produces a web-based DSS application that helps decision making in selecting IT managers. This DSS application will simplify the calculation of the assessment thereby reducing calculation errors. The end result of implementing DSS for the selection of IT managers is that the selection process becomes more precise, effective and objective

Page 28 of 48 | Total Record : 479

 26   27   28   29   30 

Filter by Year

2015 2025


Reset
Filter By Issues
All Issue Vol 11 No 3 (2025): JuTISI Vol 11 No 2 (2025): JuTISI Vol 11 No 1 (2025): JuTISI Vol 10 No 3 (2024): JuTISI Vol 10 No 2 (2024): JuTISI Vol 10 No 1 (2024): JuTISI Vol 9 No 3 (2023): JuTISI Vol 9 No 2 (2023): JuTISI Vol 9 No 1 (2023): JuTISI (in progress) Vol 8 No 3 (2022): JuTISI Vol 8 No 2 (2022): JuTISI Vol 8 No 1 (2022): JuTISI Vol 7 No 3 (2021): JuTISI Vol 7 No 2 (2021): JuTISI Vol 7 No 1 (2021): JuTISI Vol 6 No 3 (2020): JuTISI Vol 6 No 2 (2020): JuTISI Vol 6 No 1 (2020): JuTISI Vol 5 No 3 (2019): JuTISI Vol 5 No 2 (2019): JuTISI Vol 5 No 1 (2019): JuTISI Vol 4 No 3 (2018): JuTISI Vol 4 No 2 (2018): JuTISI Vol 4 No 1 (2018): JuTISI Vol 3 No 3 (2017): JuTISI Vol 3 No 2 (2017): JuTISI Vol 3 No 1 (2017): JuTISI Vol 2 No 3 (2016): JuTISI Vol 2 No 2 (2016): JuTISI Vol 2 No 1 (2016): JuTISI Vol 1 No 3 (2015): JuTISI Vol 1 No 2 (2015): JuTISI Vol 1 No 1 (2015): JuTISI More Issue