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INDONESIA
CogITo Smart Journal
Published by Universitas Klabat
ISSN : 25412221     EISSN : 24778079     DOI : -
Core Subject : Science, Education, Engineering,
Computer Science & IT Decision Sciences, Operations Research & Management Education Electrical & Electronics Engineering
CogITo Smart Journal adalah jurnal ilmiah di bidang Ilmu Komputer yang diterbitkan oleh Fakultas Ilmu Komputer Universitas Klabat anggota CORIS (Cooperation Research Inter University) dan IndoCEISS (Indonesian Computer Electronics and Instrumentation Support Society). CogITo Smart Journal dua kali setahun, yaitu setiap bulan Juni dan Desember. CogITo Smart Journal menerima berbagai naskah yang sifatnya baru dan asli dari hasil penelitian, telaah pustaka, dan resensi buku dari bidang Ilmu Komputer dan Informatika yang boleh ditulis dalam Bahasa Indonesia atau Bahasa Inggris. Kata CogITo berasal dari Bahasa Latin yang berarti I Think. Sehihngga CogITo Smart berarti I Think Smart dalam Bahasa Inggris.
Arjuna Subject : -
Articles 318 Documents
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Effectiveness of SunPlus as an Accounting Information System in SDAC East Indonesia Union Conference Using DeLone & Mclean Information System Success Model Roy Mandagi; Raymond Manopo; Elvis Ronald Sumanti
CogITo Smart Journal Vol. 10 No. 1 (2024): Cogito Smart Journal
Publisher : Fakultas Ilmu Komputer, Universitas Klabat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31154/cogito.v10i1.651.518-527

Abstract

Faith-based organizations play a pivotal role in society, necessitating robust information management systems for efficient functioning. This study examines the effectiveness of SunPlus, an accounting information system, within the context of the Seventh-day Adventist Church (SDAC), utilizing the Delone & McLean information system success model. The SDAC is a global faith-based organization overseeing numerous institutions. Data for this study was gathered through a questionnaire distributed among all SunPlus users within the SDAC East Indonesian Union Conference, which yielded responses from 80 participants. The findings highlight the significant impact of information and system quality on user usage and satisfaction, which in turn affect the overall net benefit to the organization. However, the study also reveals that service quality variables do not significantly influence usage and user satisfaction. Consequently, while SunPlus serves as an essential accounting information system, it may require additional enhancements to achieve optimal effectiveness in meeting the organization's needs. The study underscores the importance of continuous evaluation and improvement of information systems in faith-based organizations to ensure they adequately support their complex administrative and operational functions. These findings are crucial for the SDAC and similar organizations striving to enhance their information management systems for better performance and user satisfaction.
Implementasi Metode Multi-Attribute Utility Theory Dalam Menentukan Karya Terbaik Proyek Yuwana Wikimedia Muhammad Ikhlas; Rio Bayu Sentosa
CogITo Smart Journal Vol. 10 No. 1 (2024): Cogito Smart Journal
Publisher : Fakultas Ilmu Komputer, Universitas Klabat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31154/cogito.v10i1.656.541-552

Abstract

Reading activities are a form of literacy that can foster societal development. We can encounter various short forms of literacy besides reading and writing books, such as novel reviews, communicating and cross-talking. “However, there is still limited access to platforms that support literacy activities, particularly those that encourage community storytelling”. The Yuwana Project is one of the competitions held by Wikimedia Indonesia to provide space for people to work on writing children's short stories and traditional game stories. This competition is held online via Wikibuku. Where participants who take part in this competition will be assessed to determine the best work. The assessment process needs to be thorough so that those assessed comply with the assessment criteria that have been determined. For this reason, there is a need for a method that can produce the best decisions. The Multi-Attribute Utility Theory (MAUT) method is a method for making decisions by identifying and analyzing several variables quantitatively, In this study, 10 alternative data were tested, where the results were A6 with a preference value of 0.65 with the best first rank, then A7 with a preference value of 0.62 ranked second, and A2 with a preference value of 0.60 ranked third. So that the MAUT method can provide recommendations for selecting the best work for the Yuwana Wikimedia project.
Pengaruh Kesadaran Merek Dalam Menentukan Niat Pelanggan Dan Perilaku Pembelian Francis Hutabarat
CogITo Smart Journal Vol. 10 No. 1 (2024): Cogito Smart Journal
Publisher : Fakultas Ilmu Komputer, Universitas Klabat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31154/cogito.v10i1.659.553-565

Abstract

The pervasive influence and evolution of social media continue to reshape societal dynamics. Accordingly, the current study endeavors to scrutinize whether brand awareness (BA), brand knowledge (BK), and brand preference (BP) serve as independent variables influencing customer intention (CI), with Purchase Decision (PD) serving as the dependent variable with CI as mediating factor in the relationship between BA, BK, BP, and PD. Against the backdrop of the Shopee marketplace, the study was conducted through a survey targeting Shopee customers specifically generation Z or millennials who had a history of purchasing or frequent platform usage in West Java, Indonesia. The quantitative dataset was compiled from responses provided by 91 participants, employing purposive sampling technique, the collected data were subjected to Structural Equation Modeling (SEM) using SmartPLS software for analysis. The outcomes indicated that BA and BK had insignificant effects on CI and PD. Conversely, BP demonstrated a significant and positive influence on customer intention and purchase decision. Moreover, the analysis revealed that CI acts as a significant mediator between BP and purchase decision. Thus, leveraging social media can augment brand preference, with an associated increase in customer intention leading to heightened purchase decisions. These findings furnish valuable insights to businesses, aiding them in making informed decisions regarding the selection of the most suitable social media strategy.
Analysis of Factors Affecting Intention in Using Google Classroom in Post-Pandemic Era with UTAUT2 Approach Enrico Samuel Djimesha; Erma Suryani
CogITo Smart Journal Vol. 10 No. 1 (2024): Cogito Smart Journal
Publisher : Fakultas Ilmu Komputer, Universitas Klabat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31154/cogito.v10i1.666.566-577

Abstract

A pandemic that happened a few years ago has forced universities around the world to adopt online learning. This was driven by government regulations that forced society to adopt health protocols and social distancing. The adoption of Google Classroom as a learning management system (LMS) has potential for universities because of its relatively lower cost than other LMSs, its ability to integrate with Google Meet, an online video conference application, and its ability to help manage learning files. XYZ University provides learning management services through Google Classroom. However, the usage of this LMS post-pandemic decreases after the social distancing regulation is lifted. This has become attention for the researcher to analyze and give recommendations to XYZ University on improving the usage of Google Classroom in the post-pandemic era to digitalize and centralize the learning process in a system. The researcher has designed the research stages, starting with problem formulation, using the UTAUT2 approach, analysis with PLS-SEM, and providing recommendations for the university. This model resulted in two factors affecting the acceptance of Google Classroom: performance expectancy and habit. Also, this model explains 56.5% of behavioral intention on using Google Classroom and 59.9% of use behavior of Google Classroom. This study recommends the institution to enforce the use of Google Classroom for every learning activity so that both faculty members and students are used to using it. This study also recommends the institution to socialize about the features and advantages of Google Classroom to help users aware of the positive impact of using Google Classroom on learning activities.
Implementing QR code and Geolocation Technologies for the Student Attendance System Semmy Wellem Taju; Yonatan Putra Mamahit; Jeremy Andrew Pongantung
CogITo Smart Journal Vol. 10 No. 1 (2024): Cogito Smart Journal
Publisher : Fakultas Ilmu Komputer, Universitas Klabat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31154/cogito.v10i1.636.642-653

Abstract

Attendance is one of the important factors in supporting lecture activities that can be used to see how well the performance of student attendance in class. Traditional attendance systems used in various educational institutions often cause problems. This research aims to develop an innovative and efficient student attendance system to help the process of taking attendance by utilizing QR-Code and geo-location technologies at Klabat University. The research method employed for this development is the Prototyping Model, which involves iterative development and refinement processes. The system is designed as a web-based application and a mobile application, developed using PHP as the programming language, MySQL as the database management system, Bootstrap 5 as the CSS and JavaScript framework for creating responsive websites, Apache as the web server and Ubuntu 22.04 as the operating system for the server. QR-Code technology is proposed as a medium for recording and verifying student attendance, while Geo-Location technology is used to verify the presence of students in the right lecture venue. The results of this research are expected to make a positive contribution to Klabat University in terms of recording student attendance.
Development of a Location-Based Augmented Reality Application for Navigation Edson Yahuda Putra, M.Kom; Andria Wahyudi; Privan Nabut; Aaron Pelle
CogITo Smart Journal Vol. 10 No. 1 (2024): Cogito Smart Journal
Publisher : Fakultas Ilmu Komputer, Universitas Klabat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31154/cogito.v10i1.639.592-602

Abstract

Universitas Klabat (UNKLAB) is one of the private higher education institutions directly affiliated with the Seventh-day Adventist Church (SDA), located in North Minahasa, North Sulawesi. UNKLAB has approximately 3,500 students and boasts many buildings and facilities, including lecture halls, dormitories, sports fields, and more. Given the vast campus and numerous buildings, navigation is essential to help individuals find their way to specific buildings or locations. With the advancement of technology, the author identified an opportunity to implement Augmented Reality (AR) technology as a navigation aid at Universitas Klabat, utilizing iOS as the chosen platform. In this application, users can search for various locations, such as buildings, facilities, or faculty residences. The Research and Design (R&D) method was employed for this study, wherein the researcher conducted investigations and subsequently developed this application. During the application's development, one of the models within the Software Development Life Cycle (SDLC), namely the Prototyping model, was utilized. The researcher successfully created a location-based Augmented Reality application for navigating UNKLAB's campus, and it functions effectively on iOS mobile devices.
Implementasi Convolutional Neural Network terhadap Citra X-Ray Dada COVID-19 Berbasis Mobile Indo Intan; Suryani Suryani; ST Aminah Dinayati Ghani; Moh. Rifkan; Syamsul Bahri
CogITo Smart Journal Vol. 10 No. 1 (2024): Cogito Smart Journal
Publisher : Fakultas Ilmu Komputer, Universitas Klabat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31154/cogito.v10i1.640.625-641

Abstract

The COVID-19 pandemic outbreak is the most significant event from 2019 until 2021. A medical examination of radiological images is carried out to check the condition of the patient's lungs. The limitations of this examination need alternative computer-assisted applications for patient CXR. This research aims to implement a back-end and front-end-based Convolutional Neural Network (CNN) model. Its advantage is that it can detect CXR images in real-time and non-real-time using multi-classification, namely normal, pneumonia, and COVID-19. The CNN model carries out the process of convolutional feature extraction and multi-layer perceptron classification at the back-end stage. In contrast, it uses an Android mobile-based application at the front-end stage. The research results show that the non-real-time condition has an accuracy of 98%, while the real-time is 95% lower. This research produces model and application performance that is flexible for user needs. The results can be recommended for developing applications for more comprehensive users.
Meningkatkan Kinerja Akun TikTok dengan Identifikasi Pola Data Wilem Musu; Nadia Lempan; Indra Samsie
CogITo Smart Journal Vol. 10 No. 1 (2024): Cogito Smart Journal
Publisher : Fakultas Ilmu Komputer, Universitas Klabat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31154/cogito.v10i1.647.667-679

Abstract

 TikTok is a social media platform widely used to share information through short videos to achieve goals and interests in business, education, politics, government, and personal existence. Every activity on this platform is recorded and presented privately to each account owner. However, this data has not been utilized optimally to improve account performance. This research aims to offer a data analysis concept that integrates statistical and machine learning approaches to identify data patterns in each user's data collection, enabling the improvement of account performance. The approach utilizes Linear Regression, k-means, and Decision Tree methods. The results obtained show that the concept of identifying data patterns in TikTok account data has successfully developed a predictive model for video posts that can potentially increase total viewership, video plays, and audience engagement. This is achieved through optimizing video components such as captions, text, hashtags, sound genre, and video type. The outcome yielded a classification model that can predict capable component content to enhance account performance.
Development of Web-Based Uteach Tutoring Application Rolly Lontaan; Stenly Ibrahim Adam; Oktoverano Lengkong; Virgil Steven Weol; Gerald Varon Alexius Poluan
CogITo Smart Journal Vol. 10 No. 1 (2024): Cogito Smart Journal
Publisher : Fakultas Ilmu Komputer, Universitas Klabat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31154/cogito.v10i1.669.706-718

Abstract

In the rapidly evolving digital era, challenges in the field of education have become increasingly complex. This research aims to develop the UTeach learning guidance application, designed to assist students of Universitas Klabat in addressing academic issues. The application enables students to book mentors and meet face-to-face for guidance sessions. By implementing and utilizing the prototype model development method using the Software Development Life Cycle (SDLC), this study designs a prototype application aimed at facilitating student access to learning guidance by reducing time and distance barriers. Prototype testing is conducted through trials to evaluate the performance and usability of the application. This application is anticipated to serve as a potential tool in supporting Universitas Klabat students in improving academic performance and addressing financial issues. Development recommendations for this application may include adding conversation features, incorporating notification features, and developing a mobile application to enhance user efficiency. This research contributes to the advancement of educational technology by offering innovative solutions to enhance student learning experiences.
Research Project Topic Recommender System Using Generative Language Model Debby Erce Sondakh, S.Kom, M.T, Ph.D; Semmy Wellem Taju; Jian Kezia Tesalonica Yuune; Anjelita Ferensca Kaminang; Syalom Gabriela Wagey
CogITo Smart Journal Vol. 10 No. 1 (2024): Cogito Smart Journal
Publisher : Fakultas Ilmu Komputer, Universitas Klabat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31154/cogito.v10i1.678.654-666

Abstract

Education has become a driver of a person's continuous innovation to improve their quality. Currently, the use of artificial intelligence determines progress in education. In this research, artificial intelligence technology was applied to develop a web-based recommendation system to help students at the Faculty of Computer Science, Klabat University, choose appropriate research topics for their final assignments. To provide personalized and contextually relevant suggestions, the recommendation system leverages deep learning and generative language models, specifically GPT-3. The Rapid Application Development process model is employed to develop the system. Its key components include semantic search, rapid engineering, and an advanced vector database for effective data management and retrieval. The functions provided by the system include user account registration, login, input of major subject grades and research preferences, and personalized recommendation results. Some additional features such as profile management, previous recommendation history, and password reset options are also provided. All these functions have been tested using the black box method.

Page 29 of 32 | Total Record : 318

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