Jurnal Teknologi Dan Sistem Informasi Bisnis
Jurnal Teknologi dan Sistem Informasi Bisnis merupakan Jurnal yang diterbitkan oleh Prodi Sistem Informasi Universitas Dharma Andalas untuk berbagai kalangan yang mempunyai perhatian terhadap perkembangan teknologi komputer, baik dalam pengertian luas maupun khusus dalam bidang-bidang tertentu yang terkait dengan teknologi informatika komputer. Naskah yang diterima untuk diterbitkan berupa hasil penelitian lapangan, penelitian kepustakaan, pengamatan serta karya ilmiah yang berhubungan dengan topik yang relevan dengan situasi Teknologi Komputer.Jurnal Teknologi Komputer terbit 2 kali dalam satu tahun yaitu bulan Januari dan Juli.
Articles
27 Documents
Search results for
, issue
"Vol 5 No 3 (2023): July 2023"
:
27 Documents
clear
<![CDATA[Sistem Informasi Online Pengelolaan Dana Sosial Pada Rumah Yatim Sumatera Utara ]]>
<![CDATA[Muhammad Zulpan Batubara]]>;
<![CDATA[Muhammad Irwan Padli Nasution]]>
<![CDATA[ Jurnal Teknologi Dan Sistem Informasi Bisnis Vol 5 No 3 (2023): July 2023 ]]>
Publisher : <![CDATA[Prodi Sistem Informasi Universitas Dharma Andalas ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
DOI: 10.47233/jteksis.v5i3.819
<![CDATA[Rumah Yatim, a National Zakat Management Institution under BAZNAS, manages various forms of donations across Indonesia through 20 branch offices. However, data management using Microsoft Excel has drawbacks, which led to the creation of an Online Social Fund Management Information System in North Sumatra using MySQL, PHP, HTML, and the Waterfall method. The system ensures transparent and systematic data management, making it easier for donors to donate online and providing real-time information on donation management. The new system has allowed Rumah Yatim to receive donations more efficiently and track them more systematically and transparently, resulting in better decision-making processes and more effective distribution of funds to those in need. The system has also helped streamline administrative tasks and reduce the time and resources required for manual data entry and report creation, leading to overall improved effectiveness and efficiency in operations.]]>
<![CDATA[Penerapan Togaf Adm Pada Arsitektur Sistem Informasi Absensi Dan Penggajian Di Desa Sri Purnomo ]]>
<![CDATA[Tri Susilowati]]>;
<![CDATA[Sucipto Sucipto]]>;
<![CDATA[Widianto Widianto]]>;
<![CDATA[Meliana Dewi]]>
<![CDATA[ Jurnal Teknologi Dan Sistem Informasi Bisnis Vol 5 No 3 (2023): July 2023 ]]>
Publisher : <![CDATA[Prodi Sistem Informasi Universitas Dharma Andalas ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
DOI: 10.47233/jteksis.v5i3.824
<![CDATA[Building an information system in Sri Purnomo village requires IT governance from planning to implementation, so as to produce an organization that is able to achieve its goals optimally. Especially for village governments who want to run good-governance. Payroll operations and attendance attendance are currently done manually so that it slows down payroll calculations. Therefore it is necessary to collect data on the status of attendance, easy to find, and accessible to interested parties at any time, so that payment of salaries given to village officials is in accordance with applicable regulations. The Open This research focuses on the goal of designing an enterprise architecture in the form of a blueprint which includes business architecture, data architecture and application architecture to support Sri Purnomo Village information systems, especially attendance and payroll information systems. The Group Architecture Framework (TOGAF) offers a comprehensive method for managing, creating, and practicing existing business information architecture in the village. The use of Enterprise Architecture in the village of Sri Purnomo provides a clear picture of the system to be developed in the future and system integration.]]>
<![CDATA[Klasifikasi MIT-BIH Arrhythmia Database Metode Random Forest dan CNN dengan Model ResNet-50: A Systematic Literature Review ]]>
<![CDATA[M. Rizky]]>;
<![CDATA[Roni Andarsyah]]>
<![CDATA[ Jurnal Teknologi Dan Sistem Informasi Bisnis Vol 5 No 3 (2023): July 2023 ]]>
Publisher : <![CDATA[Prodi Sistem Informasi Universitas Dharma Andalas ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
DOI: 10.47233/jteksis.v5i3.825
<![CDATA[Although Machine Learning and Deep Learning technologies have been widely used and have shown high accuracy in many applications, including in the health field, their application in early detection of heart disease still has room for improvement. Further research is needed to enhance the accuracy and efficiency of this process. This study aims to understand and improve the process of ECG signal extraction and classification based on Machine Learning and Deep Learning. Essentially, this research aims to evaluate and compare various models, focusing on the Random Forest and Convolutional Neural Networks (CNN) models. The study reviews several related researches, especially those focusing on the process of extraction and classification of ECG signals using Machine Learning and Deep Learning. After extraction and classification of data, an evaluation and comparison process is conducted to determine the best performing model. From the research conducted, it was found that Machine Learning methods generally show an accuracy rate between 97.02% - 99.66%, with the Random Forest method having an accuracy of 97.02%. Meanwhile, the CNN method shows a higher accuracy rate, which is between 98.75% - 100%. Thus, this research confirms the superiority of CNN in this classification process, and shows potential for further use in early detection of heart disease.]]>
<![CDATA[Analisis Klaster Data Pasien Diabetes untuk Identifikasi Pola dan Karakteristik Pasien ]]>
<![CDATA[Ananda Elang Satriatama]]>;
<![CDATA[Ari Prasetyo Wibowo]]>;
<![CDATA[I Gusti Ngurah Arnold]]>;
<![CDATA[Reyhan Bayu Pratama]]>;
<![CDATA[Tegar Alwinata Masyhuda]]>;
<![CDATA[Yohannes Alexander Agusti]]>;
<![CDATA[Endah Purwanti]]>;
<![CDATA[Indah Werdiningsih]]>
<![CDATA[ Jurnal Teknologi Dan Sistem Informasi Bisnis Vol 5 No 3 (2023): July 2023 ]]>
Publisher : <![CDATA[Prodi Sistem Informasi Universitas Dharma Andalas ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
DOI: 10.47233/jteksis.v5i3.828
<![CDATA[Diabetes is a significant health problem in Indonesia and the world. To understand the patterns and characteristics of diabetic patients, research was conducted by clustering the data of diabetic patients using the K-Means algorithm. The results of the analysis showed that there were two clusters, with cluster 1 consisting of 755 female patients aged 20-80 years and cluster 2 consisting of 404 male patients aged 40-90 years. The diagnosis of Non-insulin-dependent diabetes mellitus was the most common diagnosis in both clusters, followed by Rheumatoid arthritis in cluster 1 and Respiratory tuberculosis in cluster 2. BMI results in the "ideal" category had the highest frequency in both clusters, but the "less" category was more found in cluster 2. The unique variables in cluster 1 are M13.9 and I15, while the unique variables in cluster 2 are A15 and E11.6. In addition, the analysis of the two clusters shows that the Modopuro and Kebondalem sub-districts appear as the most sub-districts in the two clusters.]]>
<![CDATA[Perancangan User Experience Aplikasi Android Konsultasi Skripsi dengan Metode User Centered Design ]]>
<![CDATA[Rahmat Alif A.]]>;
<![CDATA[Dedy Kurniawan]]>
<![CDATA[ Jurnal Teknologi Dan Sistem Informasi Bisnis Vol 5 No 3 (2023): July 2023 ]]>
Publisher : <![CDATA[Prodi Sistem Informasi Universitas Dharma Andalas ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
DOI: 10.47233/jteksis.v5i3.834
<![CDATA[This research aims to design an Android application prototype using the User-Centered Design method, with a focus on evaluation through usability testing. The urgency of this research is driven by the importance of providing optimal user experiences in the development of Android applications, particularly in the context of thesis consultation applications, with the goal of enhancing user satisfaction and supporting business growth. The User-Centered Design method is employed as the primary approach in this research, involving steps such as user data collection, analysis, and iterative design based on user feedback. Usability testing is conducted through testing with users, aiming to identify issues and difficulties encountered by users while using the application. The usability testing process involved 5 participants, and the average test score obtained was 87.3. This test score indicates a very good level of usability. The results of this research are expected to provide valuable guidance for application developers in enhancing user experiences and better meeting user needs, ultimately achieving higher success.]]>
<![CDATA[Implementasi Metode SAW Untuk Menentukan Program Bantuan Bedah Rumah Di Kabupaten Pandeglang ]]>
<![CDATA[Ayu Mira Yunita]]>;
<![CDATA[Andrianto Heri Wibowo]]>;
<![CDATA[Robby Rizky]]>;
<![CDATA[Neli Nailul Wardah]]>
<![CDATA[ Jurnal Teknologi Dan Sistem Informasi Bisnis Vol 5 No 3 (2023): July 2023 ]]>
Publisher : <![CDATA[Prodi Sistem Informasi Universitas Dharma Andalas ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
DOI: 10.47233/jteksis.v5i3.835
<![CDATA[The home surgery assistance program is one of the programs of the Department of housing and settlements, where this program is intended to help ease the burden on the poor. Pandeglang regency consists of 35 sub-districts, 13 sub-districts and 326 village with a population of approximately 1,180,000 people with an area of 2,746,89 km2 with a density of 428 people / km, some of whose population work as farmers. Of the many peoply , there are still many resident whosw economic level is very low(poor). The problem in this study is that the housing and settlement office of Pandeglang regency in term of determining the house surgery assistance program is still subjective so that sometime it is not target , as well as the frequent exchange of application document and the lack of transparency of the result of grant recipients. Therefore, a decision support system is needed that ains to make I easier for the housing and settlement office to determine potential recipient of the this method works by finding the weight value for each alternative, then a calculation processs is carried out to obtain an optimal alternative, to determine to potential recipients of the home surgery program. The implementation of the simple additive weighteinig (SAW) methode can provide solutions based on predetermined criteria to determine the priority of potential recipients of home surgical assistance programs, with the highest ranked alternative with a score of 1]]>
<![CDATA[Analisis Social Media Pada UMKM Ditinjau Dari Perspektif Open Innovation Dan Human Capital ]]>
<![CDATA[Prima Yulianti]]>;
<![CDATA[Ratni Prima Lita]]>;
<![CDATA[Verinita Verinita]]>;
<![CDATA[Rida Rahim]]>
<![CDATA[ Jurnal Teknologi Dan Sistem Informasi Bisnis Vol 5 No 3 (2023): July 2023 ]]>
Publisher : <![CDATA[Prodi Sistem Informasi Universitas Dharma Andalas ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
DOI: 10.47233/jteksis.v5i3.842
<![CDATA[The use of social media and understanding in the field of Information Systems (IS) in the early stages of business activities is a new phenomenon. Social media can provide additional customer and industry data to digitally transform information into knowledge for innovation. Such an amalgamation provides a potentially complementary role in the relationship between human capital and innovation outcomes. Through social media technology, small and medium enterprises (MSMEs) can communicate information and respond to competitors with minimal costs. The ability to share and access information can affect the performance of MSMEs. One important aspect that has emerged recently is open innovation. A previous study has highlighted the importance of human capital for innovation performance. The purpose of this study is to conceptualize the use of social media in an effort to improve the performance of MSMEs from an open innovation-based human capital perspective. The method used is a literature review that is relevant from 2018 to 2022. The results show that the importance of using social media and human capital has a synergistic relationship that has a direct effect on open innovation in improving MSME performance.]]>
<![CDATA[Implementasi Analisis Markov pada R Studio untuk Model Prediksi Perpindahan Pengguna Transportasi Online ]]>
<![CDATA[Yerymia Alfa Susetyo]]>
<![CDATA[ Jurnal Teknologi Dan Sistem Informasi Bisnis Vol 5 No 3 (2023): July 2023 ]]>
Publisher : <![CDATA[Prodi Sistem Informasi Universitas Dharma Andalas ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
DOI: 10.47233/jteksis.v5i3.844
<![CDATA[The development of transportation in Indonesia has entered an era of collaboration with information technology. Online-based transportation has proven to facilitate the mobility of people's lives. The emergence of various online transportation providers in Indonesia requires these providers to have data-based programmed business planning. Predicting customer loyalty is one of the factors considered in business planning. This study aims to predict the switching behavior of online transportation users using Markov Analysis. The study uses data taken from 100 respondents in Jakarta. User switching patterns are analyzed based on the first, second, and third months of online transportation providers used by the respondents. Gojek and Grab are used as the online transportation providers examined in this study. The study results in a Steady State or equilibrium condition, showing that Gojek has a 66% user loyalty rate, while Grab has a 34% user loyalty rate.]]>
<![CDATA[Implementasi Data Mining Menggunakan Algoritma Fp-Growth Untuk Menganalisa Transaksi Penjualan Ekspor Online ]]>
<![CDATA[Muhammad Hafizh]]>;
<![CDATA[Triana Novita]]>;
<![CDATA[Dodi Guswandi]]>;
<![CDATA[Hadi Syahputra]]>;
<![CDATA[Liga Mayola]]>
<![CDATA[ Jurnal Teknologi Dan Sistem Informasi Bisnis Vol 5 No 3 (2023): July 2023 ]]>
Publisher : <![CDATA[Prodi Sistem Informasi Universitas Dharma Andalas ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
DOI: 10.47233/jteksis.v5i3.847
<![CDATA[In today's online technology, we have to learn various things so that we can adjust to social behavior, for example, buying and selling activities that cover all walks of life, now everyone doesn't hesitate to shop online. The online market is growing fast, especially in Indonesia. Anyone can sell and buy goods easily through online stores, so that people's purchasing power and sales increase due to the proliferation of online stores, XYZ stores are still beginners in terms of sales strategies so they try all efforts without careful preparation, one of the ways to do this is to expand its market coverage even to export goods abroad. the process of exporting goods in the current era is not a difficult thing to do, but it requires knowledge and preparation of a good strategy. from existing sales data can be analyzed to determine the right strategy in marketing goods. Data Mining is a science that helps analyze large amounts of data with the aim of gaining new knowledge that can be utilized. In Data Mining Analysis there is the FP-Growth algorithm which is a data mining technique for finding association rules from lots of data. This is known as the Association rule, where the rule will be determined from the minimum support and confidence results. the rules that are formed produce 10 rules out of 51 existing data, these rules help determine the export sales strategy at the XYZ store.]]>
<![CDATA[Optimasi Algoritma Random Forest menggunakan Principal Component Analysis untuk Deteksi Malware ]]>
<![CDATA[Fauzi Adi Rafrastaraa]]>;
<![CDATA[Ricardus Anggi Pramunendar]]>;
<![CDATA[Dwi Puji Prabowo]]>;
<![CDATA[Etika Kartikadarma]]>;
<![CDATA[Usman Sudibyo]]>
<![CDATA[ Jurnal Teknologi Dan Sistem Informasi Bisnis Vol 5 No 3 (2023): July 2023 ]]>
Publisher : <![CDATA[Prodi Sistem Informasi Universitas Dharma Andalas ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
DOI: 10.47233/jteksis.v5i3.854
<![CDATA[Malware is a type of software designed to harm various devices. As malware evolves and diversifies, traditional signature-based detection methods have become less effective against advanced types such as polymorphic, metamorphic, and oligomorphic malware. To address this challenge, machine learning-based malware detection has emerged as a promising solution. In this study, we evaluated the performance of several machine learning algorithms in detecting malware and applied Principal Component Analysis (PCA) to the best-performing algorithm to reduce the number of features and improve performance. Our results showed that the Random Forest algorithm outperformed Adaboost, Neural Network, Support Vector Machine, and k-Nearest Neighbor algorithms with an accuracy and recall rate of 98.3%. By applying PCA, we were able to further improve the performance of Random Forest to 98.7% for both accuracy and recall while reducing the number of features from 1084 to 32.]]>
