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INDONESIA
Jurnal Sains Dan Teknologi (SAINTEKBU)
Published by Universitas KH. A. Wahab Hasbullah
ISSN : 19797141     EISSN : 25411942     DOI : https://doi.org/10.32764/saintekbu.v10i1.157
Core Subject : Science, Engineering,
Computer Science & IT Control & Systems Engineering Library & Information Science
JURNAL SAINTEKBU adalah Jurnal ilmiah yang mewadahi hasil penelitian bidang informatika, ilmu komputer, teknologi komputer yang diterbitkan oleh Universitas KH. A. Wahab Hasbullah (UNWAHA)
Arjuna Subject : Ilmu Komputer (semua kategori) - Aplikasi Ilmu Komputer
Articles 293 Documents
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Application of the Use Questionnaire Method in Edlink Learning Management System (LMS) Usability Measurement : Application of the Use Questionnaire Method in Measuring the Usability of the Edlink Learning Management System (LMS). LM Fajar Israwan, LM Fajar Israwan; Rachmawati, Ike Kusdyah; Rahman Alamsyah, Agus
SAINTEKBU Vol. 16 No. 01 (2024): Vol. 16 No. 01 January 2024
Publisher : KH. A. Wahab Hasbullah University

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Abstract

Distance education has evolved from a correspondence education model to e-learning-based education using a Learning Management System (LMS). One LMS that is widely used is Edlink. The successful implementation of an information system, including e-learning, is very important to determine the user's ability to utilise the system so that it can empirically describe e-learning user satisfaction. The purpose of this research is to measure the usability of the Edlink LMS. The questionnaire used in this research consists of the variables Usefulness, Ease of Use, Ease of Learning, and User Satisfaction. From the results of the Usability calculation, the Usefulness variable's feasibility level was 83.54%, the ease of use variable was 83.03%, the ease of learning variable was 84.79%, the usability variable was 82.62%  and the total usability value was 83.31. %. This shows that LMS Edlink is a very effective learning media to use in bold learning.
Automation of Time Attendance Machine Data Acquisition through ADMS Features Hariono, Tholib; Tina Rahmawati Dewi
SAINTEKBU Vol. 16 No. 01 (2024): Vol. 16 No. 01 January 2024
Publisher : KH. A. Wahab Hasbullah University

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Abstract

The purpose of this research is to provide convenience for institutions in monitoring employee attendance through the ADMS (Automatic Data Master Server) feature so that information related to measuring employee attendance levels in real time and reliable (cannot be manipulated) can be achieved. This research method uses the Waterfall method where the stages are through Data Analysis, Design, Object research, Implementation and system trials. The results of this study are the results of the implementation there are several conclusions obtained from the design activities of the electronic attendance application, namely the employee data synchronization feature can ensure that employee data in the electronic attendance system is the most up-to-date employee data without the need to re-enter employee data. The use of the ADMS feature in the finger print machine allows sending finger print data in real time, where finger print data that enters the finger print machine at that time can also be sent to the electronic attendance application server. Thus the attendance of each employee can be monitored in real time.
YouTube Comment Sentiment Analysis on Deddy Corbuzier and BEM UI’s Podcast Using TF-IDF and Naïve Bayes Al Basyary, Muhammad Rafi
SAINTEKBU Vol. 16 No. 02 (2024): Vol. 16 No. 02 August 2024
Publisher : KH. A. Wahab Hasbullah University

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Abstract

The development of technology and the popularity of digital platforms such as Youtube have had a significant impact on the dissemination of information, especially related to the idea of a presidential candidate in the 2024 election. For example, Deddy Corbuzier actively uploads a podcast video on his Youtube channel, together with the chairman of BEM UI, to discuss the ideas of each presidential candidate. In this study, sentiment analysis was carried out on more than 2.6 million Youtube user comments on the video using the Naïve Bayes Classifier algorithm. This algorithm has proven effective in previous studies, showing high accuracy in classifying people's sentiments. The research methodology includes data labeling, text preprocessing, word weighting with TF-IDF, data validation using k-fold cross validation, and data testing. The results of the sentiment analysis revealed that more than fifty percent of the comments were positive, while some remained neutral. The data visualization process using word cloud provides a clear picture of the topics most talked about by the public, with the word "Leader" dominating. Although the accuracy of the Naïve Bayes Classifier in this study reached 57.6%, this study provides valuable insights into the public's view of the idea of a presidential candidate. Further development may involve the use of other algorithms as comparators to improve the accuracy of sentiment analysis.
Analyzing Public Sentiment on COVID-19 Using TF-IDF and K-Nearest Neighbors (K-NN) on Twitter Data ., Arip; Kalifia, Dina
SAINTEKBU Vol. 16 No. 02 (2024): Vol. 16 No. 02 August 2024
Publisher : KH. A. Wahab Hasbullah University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32764/saintekbu.v16i02.4353

Abstract

The coronavirus outbreak that occurred in almost all countries in the world has had an impact not only on the health sector, but also on other sectors such as tourism, finance, transportation, etc. This has given rise to various kinds of sentiments from the public with the emergence of the coronavirus as a trending topic on social media Twitter. Twitter was chosen by the public because it can disseminate information in real time and can see the market's reaction quickly. In this study, "tweet" data or public tweets related to the "Coronavirus" were used to see how the polarity of sentiment emerged. Text mining techniques and K-Nearest Neighbour (K-NN) machine learning classification algorithms were used to build a tweet classification model on sentiment whether it has a positive, negative, or neutral polarity. The test results were produced by the algorithm with an average result for a precision value of 57.93% and for an average recall niali of 55.21% with an accuracy value of 64.52%
Web-Based Document Archiving Information System In Commission C DPRD Of North Sumatra Province Syamia, Nanda; Lubis, Amalina Shadrina; Nur Hera Zabni; Rifqi, Mhd Ikhsan
SAINTEKBU Vol. 16 No. 01 (2024): Vol. 16 No. 01 January 2024
Publisher : KH. A. Wahab Hasbullah University

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Abstract

Commission C DPRD of North Sumatra Province is a commission that operates in the financial sector. In Commission C DPRD, the relationship between the budget and documents is closely related because documents are often used as a tool to record, track and present financial information. These documents assist Commission C in monitoring, evaluating and making decisions related to regional financial management. The document is an important reference to ensure transparency, accountability and efficiency of budget management in accordance with policies and community needs. The existence of documents is usually important because they record or record information that can be accessed and used as a reference in the future. Document management within Commission C DPRD of North Sumatra province still faces several obstacles, including manual processes that are vulnerable to human error, the time required to search for documents, and the risk of document loss or damage. Seeing this problem, a new system is needed that utilizes technology in the current era to deal with several obstacles related to document management. The aim is to design and implement a web-based document archiving information system at Commission C DPRD of North Sumatra province to increase efficiency, security and readability of information in document management. The research methods used in this study are Research and Development. Research and Development Research and development (R&D). This system was built by modeling several UML diagrams such as use case diagrams, activity diagrams, and class diagrams. It is hoped that Commission C DPRD of North Sumatra province can optimize document management performance and make a positive contribution to improving service quality and transparency within this institution.
Forecasting the Palm Oil Market: A Comparative Study of LSTM and Bi-LSTM Models for Price Prediction Pieter, Franky Bryan; Suharjito
SAINTEKBU Vol. 16 No. 02 (2024): Vol. 16 No. 02 August 2024
Publisher : KH. A. Wahab Hasbullah University

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Abstract

This study underscores the critical need for accurate palm oil price predictions amid market volatility, driven by factors like demand shifts and supply disruptions. Employing advanced neural network models, specifically Long Short-Term Memory (LSTM) and Bidirectional LSTM (Bi-LSTM), the research spans May 2007 to December 2022 using Market Insider data. Evaluation metrics, including RMSE 0.000083 and MAPE 0.76%, highlight Bi-LSTM's superior predictive prowess. Beyond immediate benefits for decision-making, the study emphasizes broader impacts on market stability, reducing volatility and fostering sustainability in the palm oil industry. Overall, this paper showcases the efficacy of Bi-LSTM in enhancing palm oil price prediction accuracy, offering practical insights, and contributing to industry sustainability.
Augmented Reality-Based Learning Media to Improve Student Motivation and Learning Outcomes FIRMANSYAH, MUHAMMAD HAFIDH; Azhar, Alivia
SAINTEKBU Vol. 16 No. 01 (2024): Vol. 16 No. 01 January 2024
Publisher : KH. A. Wahab Hasbullah University

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Abstract

With the rapid advancement of information technology, it does not necessarily correlate with an equally swift increase in students' interest in the learning experience. Students need proper guidance in the use of information technology to enhance their learning interest, and one type of technology that can be utilized is Augmented Reality (AR). By employing Augmented Reality, it is possible to boost students' interest in the learning experience. In this study, the Action Research (PTK) method is employed to assess students' learning interest using AR technology.The research reveals an improvement in students' scores in the first cycle, with the initial cumulative score of 35% increasing to 40%. Chemistry is chosen as the subject for this study because students tend to achieve lower scores when working on assignments or exams without the integration of information technology in the instructional media.The study emphasizes the significance of incorporating technology, particularly Augmented Reality, to elevate students' learning experiences. In an era marked by the swift evolution of information technology, this research aims to bridge the gap between technological progress and the enhancement of students' learning interests.
Evaluating UI/UX Online Courses : A Case Study Of Software Engineering Students’ Learning Experience Rasendriya, Achmad Syahmi; Najla Amelia Putri; Anatasya Wenita Putri; Aulia Anggraeni; Jonathan Cristiano Rabika; Muhammad Al Amin; Barus, Irma Rasita Gloria; Amata Fami
SAINTEKBU Vol. 16 No. 02 (2024): Vol. 16 No. 02 August 2024
Publisher : KH. A. Wahab Hasbullah University

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Abstract

With technology advancing quickly in today's world, education has become one of the significantly affected aspects. Technological progress facilitated access to educational materials, leading to the emergence of various new learning methods, including online courses. Online courses were widely favoured due to the customization and diverse variations of their learning materials. Visual design, user interface (UI), and user experience (UX) played a crucial role in attracting interest in learning, as evidenced by increased engagement among users of online courses with appealing designs. These critical UI/UX aspects provided a specific boost in understanding and exploring this field, as reflected in the provision of UI/UX materials on online course platforms. This study utilized the User Experience Questionnaire (UEQ) method to evaluate the satisfaction and experiences of students participating in UI/UX online courses across six aspects: Attractiveness, Efficiency, Perspicuity, Dependability, Stimulation, and Novelty. The study involved 41 students who took UI/UX online courses for one month. The results indicated a high level of satisfaction across these aspects, suggesting that UI/UX online courses could be considered effective and reliable methods for understanding and exploring this field.
Fault Analysis of Power Distribution Network Using FTA and FMEA: A Study at PT PLN WASKITA, FARID
SAINTEKBU Vol. 16 No. 02 (2024): Vol. 16 No. 02 August 2024
Publisher : KH. A. Wahab Hasbullah University

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Abstract

PT. PLN is a supplier of electrical energy in Indonesia which plays an important role in providing sufficient electricity for daily activities, industry and other sectors. UPDK Kapuas is a power plant in Pontianak City. Based on SAIDI and SAIFI data, the duration and frequency of blackouts in 2021 is 14.85 hours per customer per year and 14.5 times per customer per year, while in 2022 it will be 16.85 hours per customer per year and 17.16 times per customer. This has increased every year. Then the average loss value in 2022 will be 11% and the average Energy Not Supplied (ENS) value will be 26,265 kWh/month. Based on the Fault Tree Analysis method, there are 25 causes of network disruption from internal and external. Of the 25 causes of network disruption, it was reduced based on the minimum Cut Set results to 5, namely, damage caused by natural disturbances, animals, humans, installation errors, and electrical component disturbances. The highest RPN value result was caused by electrical cables amounting to 11638 which needed to be a priority repair by UPDK Kapuas. Recommendations for improvement include carrying out routine maintenance and maintenance of the network to prevent damage and adding Thermovision tools to identify and detect network damage more quickly and precisely.
Web-Based Inventory Information System at PT. Tunas Tasik Kurnia, Okto; Muchammad Wahabi; Daldiri, Daldiri
SAINTEKBU Vol. 16 No. 02 (2024): Vol. 16 No. 02 August 2024
Publisher : KH. A. Wahab Hasbullah University

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Abstract

The complexity of the company, driven by changes in the very dynamic environment, needs to be supported by a new design for the processing of stock data at PT. Tunas Tasik is still done manually, so efforts are being made to implement a special application system for the management of goods data; therefore, a responsive web-based information system is needed that can speed up the process of managing goods data. The methods used in this study are observation and interview methods. From the results of the analysis of the web-based goods data management application, which will be described using UML (Unified Modelling Language) notation, Activity Diagram and ERD, to be further implemented using the PHP programming language and database using MySQL. so that it can further improve work effectiveness and provide information quickly and accurately.

Page 28 of 30 | Total Record : 293

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