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<![CDATA[The Implementasi Metode On-Page Search Engine Optimization untuk Meningkatkan Peringkat Website sebagai Hasil Pencarian Google ]]>
<![CDATA[Antonius, Antonius]]>;
<![CDATA[Suteja, Bernard Renaldy]]>
<![CDATA[ Jurnal Teknik Informatika dan Sistem Informasi Vol 7 No 1 (2021): JuTISI ]]>
Publisher : <![CDATA[Maranatha University Press ]]>
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DOI: 10.28932/jutisi.v7i1.3428
<![CDATA[Current development of the internet world has been growing rapidly, especially in the field of website. People use search engines to find the news or information they needed on a website. One of the many indications of the success of a website is traffic. Traffic could be received from various factors, one of which is website rank in Search Engine Result Page (SERP). To improve the SERP, SEO methods are required. This research will implement SEO to website especially on the image, and then analyzed by using a tester tools, for example SEOptimer, Pingdom Tools, and SEO Site Checkup. After the website has been optimized, tested with the same tester tools. From the research results can be seen whether image optimization can affect SERP.]]>
<![CDATA[Pengembangan Sistem Informasi Asosiasi Jasa Konstruksi dengan Menerapkan Tanda Tangan Digital ]]>
<![CDATA[Abdurrachman, Taufan]]>;
<![CDATA[Suteja, Bernard Renaldy]]>
<![CDATA[ Jurnal Teknik Informatika dan Sistem Informasi Vol 7 No 1 (2021): JuTISI ]]>
Publisher : <![CDATA[Maranatha University Press ]]>
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DOI: 10.28932/jutisi.v7i1.3431
<![CDATA[Currently, Indonesian government is changing the government system into an Sistem Pemerintahan Berbasis Elektronik (SPBE) or often heard as e-government. With this change in the government system, it has an impact on various sector of life. One of many sectors is construction service sector. LPJK as a non-structural institution under Ministry of Public Works and Public Housing issued a letter to the construction services association regarding the development of integrated application with SIKI LPJK. LPJK and OSS institutions has implemented digital signatures on business entity licensing document. Construction service associations has responded to develop of these regulations by creating an association information system application that implements digital signatures. This research was conducted to apply an digital signatures to the validation of the Membership Card using the secure hash algorithm (SHA) and advanced encryption standard (AES) methods generated through the association information system. This application generates an digital signatures which is implemented with QR Code. The existence of this application is expected to be a form of support for the government which is making changes to the government system.]]>
<![CDATA[Identifikasi Risiko Program Maintenance dalam Pengelolaan Proyek Berbasis Agile Menggunakan Pohon Klasifikasi ]]>
<![CDATA[Hendrik, Billyanto]]>;
<![CDATA[Suteja, Bernard Renaldy]]>
<![CDATA[ Jurnal Teknik Informatika dan Sistem Informasi Vol 7 No 1 (2021): JuTISI ]]>
Publisher : <![CDATA[Maranatha University Press ]]>
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DOI: 10.28932/jutisi.v7i1.3545
<![CDATA[Agile is a system development life cycle methodology that focuses on development interactions that involve the user with the development team led by the project manager as an intermediary between the client and the development team, with the project manager as the project leader, it is expected that this role can carry out project planning by making estimates and designing. project. The worst thing that can happen if the application fails to meet client expectations is the additional development time called maintenance, this risk will create losses to the company even though maintenance is an additional service, but this risk tends to be negative because it can have a negative impact on the company and members of the development team. responsible for the project, the project manager must be able to identify risks earlier during the sprint, so in this study we will discuss the analysis and risk identification of maintenance programs in agile-based project management, as a research analyst method will use a classification tree to group them so that It can be found at the sprint stage how much risk has started to be made, so that the project manager can make corrections at the next sprint to reduce maintenance risk]]>
<![CDATA[Evaluasi Penggunaan Learning Management System Sebagai Alat Bantu Pembelajaran Matematika Sekolah Dasar ]]>
<![CDATA[Jingga, Kenny]]>;
<![CDATA[Suteja, Bernard Renaldy]]>;
<![CDATA[Ayub, Mewati]]>
<![CDATA[ Jurnal Teknik Informatika dan Sistem Informasi Vol 7 No 3 (2021): JuTISI ]]>
Publisher : <![CDATA[Maranatha University Press ]]>
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DOI: 10.28932/jutisi.v7i3.3977
<![CDATA[Teaching and learning activities need to be interactive to increase children’s interest in learning. With the utilization of technology, there are so many learning tools had been made. One of them is Moodle. Moodle is a learning management system (LMS) application to support learning activity on electronic based (e-learning). The purpose of this research is to implement Moodle as LMS for mathematics learning on primary school children. By using Moodle, the lessons are delivered interactively for children to learn. This research will find out the influence of using this application towards the test score before and after using the application. T-Test analysis will be applied to analyze the differences. Besides analyzing the test score, questionnaires for the children who test the application will be given to know the effect of using the application for them. Based on the evaluation result using T-Test analysis, there were not any significant differences, but there were enhancements in average, highest, and lowest scores, along with the decrease in standard deviation. The result of correlation coefficient calculation between exercise frequency and quiz result was 0.2162, which meant that the correlation was weak or almost no correlation. Based on the questionnaire result, this application is considered helping children in understanding the subject.]]>
<![CDATA[Prediksi Kinerja Pegawai sebagai Rekomendasi Kenaikan Golongan dengan Metode Decision Tree dan Regresi Logistik ]]>
<![CDATA[Anggara, Erik Dwi]]>;
<![CDATA[Widjaja, Andreas]]>;
<![CDATA[Suteja, Bernard Renaldy]]>
<![CDATA[ Jurnal Teknik Informatika dan Sistem Informasi Vol 8 No 1 (2022): JuTISI ]]>
Publisher : <![CDATA[Maranatha University Press ]]>
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DOI: 10.28932/jutisi.v8i1.4479
<![CDATA[Employee performance is one element that greatly determines the quality of an organization, both government and private. Employee performance appraisal has become a routine for most companies. Performance appraisal is required for the process of salary increases, promotions, and demotions. Until this research was carried out, the processing of employee performance appraisal and evaluation at Prasama Bhakti Foundation was still done manually, so that sometimes employee promotions were carried out late or even on an inconsistent basis for each employee. Therefore, it is necessary to group data with the help of machine learning that can help predict the eligibility of an employee to get a promotion based on his performance. Classification is one method for classifying or classifying data that are arranged systematically. Decision tree and logistic regression methods are classification or grouping methods that have been widely used for solving classification problems. In this study, it will be explained how the process of processing employee performance appraisal data starts from data preparation to determine the accuracy of the decision tree model and logistic regression that is formed. The two classification models are used to predict employee performance as a recommendation for employee promotion at the Prasama Bhakti Foundation. ]]>
<![CDATA[Pengembangan Admisi Universitas Berbasis Sistem Pengelola Pengetahuan ]]>
<![CDATA[Liman, Nathanael]]>;
<![CDATA[Wijanto, Maresha Caroline]]>;
<![CDATA[Ayub, Mewati]]>;
<![CDATA[Suteja, Bernard Renaldy]]>;
<![CDATA[Jaya, Try Atmaja Linggan]]>
<![CDATA[ Jurnal Teknik Informatika dan Sistem Informasi Vol 8 No 2 (2022): JuTISI ]]>
Publisher : <![CDATA[Maranatha University Press ]]>
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DOI: 10.28932/jutisi.v8i2.4651
<![CDATA[ The study will develop a prototype to implement a knowledge management system using the information retrieval method. As a study case, the knowledge about university admission will be used. The users of the system consist of guests, admin, and admission staff. The guest can search for information in the dashboard and give suggestions. The admission staff can add new knowledge or modify the existing knowledge. The new knowledge should be verified and approved by the admin. The testing was performed to verify that the system works as it should be, especially for information searching. The results show that searchingusing lowercase and without stopword, or punctuation gives better similarity index. Searching using unigram also has better similarity index.]]>
<![CDATA[Segmentasi dan Pembentukan Model Regresi Nasabah Berbasis Analisis Recency, Frequency dan Monetary ]]>
<![CDATA[Cristover, Ronaldo]]>;
<![CDATA[Toba, Hapnes]]>;
<![CDATA[Suteja, Bernard Renaldy]]>
<![CDATA[ Jurnal Teknik Informatika dan Sistem Informasi Vol 8 No 2 (2022): JuTISI ]]>
Publisher : <![CDATA[Maranatha University Press ]]>
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DOI: 10.28932/jutisi.v8i2.5075
<![CDATA[During this pandemic, the number of customers of a securities company has increased quite high. This requires securities companies to conduct analysis related to security customer data against transaction data so that the company can find out the segmentation of registered customers and also so that companies can predict the transaction patterns of customers in the company. In processing transaction data, the RFM (Recency, Frequency, Monetary) model can be used as a way to group customers according to their business values. After doing the modeling using RFM, the data is clustered using the K-Means algorithm to find out the segmentation in the RFM model in each group. The RFM model that has been clustered will produce segments based on the RFM group. In this data, a linear regression analysis process is carried out where each group and segment is analyzed and predicted related to variables such as recency, monetary and frequency. The results of data grouping, customer segmentation and also predictions with linear regression can be one of the company's references to make a business decision. From the linear regression process carried out on the RFM attributes, a prediction of the monetary value of the existing recency value is generated and the monetary value of the frequency can also be known with a fairly good error rate.]]>
<![CDATA[Pengembangan Aplikasi Maranatha E-signature ]]>
<![CDATA[Bernard Renaldy Suteja]]>;
<![CDATA[Mewati Ayub]]>;
<![CDATA[Kafka Febianto Agiharta]]>
<![CDATA[ Jurnal Teknik Informatika dan Sistem Informasi Vol 9 No 1 (2023): JuTISI (in progress) ]]>
Publisher : <![CDATA[Maranatha University Press ]]>
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DOI: 10.28932/jutisi.v9i1.5657
<![CDATA[Using digital signature in a document, especially in work from home situation, becomes crucial to misuse. The digital signature is a schema to identify somebody uniquely and to prove the originality of a document. The development of information technology allows digital signatures as a tool to ensure the originality of information. The aim of the study is to develop an application that uses Quick Response (QR) Code as a digital signature. So QR Code can work as a tool to authenticate the leader’s signature or document verification. After the application was built and applied, users’ evaluation was performed through questionnaires. The result shows that 44% of users state that the application has been well used and beneficial. There are some suggestions for application revision from 34% of users, whereas 22% have no comment. ]]>
<![CDATA[Basis Pengetahuan Web Semantik pada Pemodelan Sistem Pendukung Rekomendasi Jurusan Kuliah ]]>
<![CDATA[Iwan Santosa]]>;
<![CDATA[Panji Yudasetya Wiwaha]]>;
<![CDATA[Bernard Renaldy Suteja]]>
<![CDATA[ Jurnal Teknik Informatika dan Sistem Informasi Vol 9 No 2 (2023): JuTISI ]]>
Publisher : <![CDATA[Maranatha University Press ]]>
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DOI: 10.28932/jutisi.v9i2.6106
<![CDATA[Prospective students have wider choice of opportunities as opposed to many choices of study majors offered by higher education institution. On the other hand, it can also cause difficulties for students to make the right choice. How a student make decision regarding his or her choice of study major is influenced by several factors, including student interest, majors chosen at the previous school level, students’ aspirations, as well as entry requirements at a particular university. This research aims to design a model of an information system that can make it easier for a student to obtain information about the most appropriate study program, among the many study programs offered by the university. The information generated by this system can be used as a reference to support recommendations for prospective students in deciding which study program they will choose appropriately. The system is designed by utilizing semantic web technology, by building an ontology based on several knowledge-bases to represent new knowledge. The ontology model designed in OWL format succeeded in connecting several knowledge-bases into comprehensive and contextual knowledge as a source of information that can be used by a prospective student to choose a study program based on these recommendations. Protege is used for ontology modeling, while implementation on the web server is done using Apache Jena platform.]]>
<![CDATA[Deteksi Tindak Kecurangan Penjualan di Perusahaan Distribusi Menggunakan Machine Learning ]]>
<![CDATA[Budi Wibowo Suhanjoyo]]>;
<![CDATA[Hapnes Toba]]>;
<![CDATA[Bernard Renaldy Suteja]]>
<![CDATA[ Jurnal Teknik Informatika dan Sistem Informasi Vol 9 No 2 (2023): JuTISI ]]>
Publisher : <![CDATA[Maranatha University Press ]]>
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DOI: 10.28932/jutisi.v9i2.6932
<![CDATA[The sales department of a distribution company is one of the places where fraud often occurs. This fraud occurs in various ways and causes massive losses for the company. These frauds have certain patterns. The patterns that occur in these practices are studied by the company's internal auditor experts. The experience of these experts is processed into a system called the Expert System. The support of a technology-based tool is needed in order to detect sales fraud early. The purpose of this research is to be able to provide benefits for companies with early detection of fraud in the sales department. At the time this research was conducted, researchers had not found similar research with the same object. In this research, a comparison of various machine learning algorithm models will be carried out with the aim of knowing whether using machine learning technology can help detect fraud with a high accuracy value. The algorithm method used is supervised learning method. The algorithm models to be compared are Decision Tree, K-Nearest Neighbor, Random Forest, SVM and Logistic Regression. It is expected that by using machine learning technology, fraud can be detected early, so that the level of loss and risk of sales can be minimized.]]>
