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INDONESIA
Jurnal Informasi dan Teknologi
Published by Universitas Putra Indonesia YPTK Padang
ISSN : 27149730     EISSN : 27149730     DOI : https://doi.org/10.37034/jidt
Core Subject : Science,
Computer Science & IT
Jurnal Informasi & Teknologi media kajian ilmiah hasil penelitian, pemikiran dan kajian analisis-kritis mengenai penelitian Rekayasa Sistem, Teknik Informatika/Teknologi Informasi, Manajemen Informatika dan Sistem Informasi. Sebagai bagian dari semangat menyebarluaskan ilmu pengetahuan hasil dari penelitian dan pemikiran untuk pengabdian pada Masyarakat luas dan sebagai sumber referensi akademisi di bidang Teknologi dan Informasi.
Arjuna Subject : Ilmu Komputer (semua kategori) - Ilmu Komputer (Lain-Lain)
Articles 378 Documents
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Application of Rapid Application Development Method in Designing a Knowledge Management System to Improve Employee Performance in National Construction Company Yumhi, Yumhi; Dharmawan, Donny; Desty Febrian, Wenny; Sutisna, Ade Jaya; Syahribulan
Jurnal Informasi dan Teknologi 2024, Vol. 6, No. 1
Publisher : SEULANGA SYSTEM PUBLISHER

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.60083/jidt.v6i1.491

Abstract

This research aims to learn how to create and implement a web-based knowledge management system to enhance worker productivity. This study uses literature reviews, interviews, and observation to collect data. The system development methodology used in the research was called Rapid Application Development (RAD). The study's findings suggest that knowledge management and documentation have significantly benefited from this research. The employee knowledge documentation process can be centrally and methodically recorded thanks to implementing the knowledge management system (KMS) used in this study. This improves the efficiency of the time spent conducting knowledge searches. The findings of this study allow staff members to log into the system directly. This technology will enable employees to organize, store, and transfer knowledge effectively. In line with the established key performance indicators (KPIs), having a knowledge management system improves employee performance overall. Employees can access knowledge from anywhere with flexibility when a web-based knowledge management system is implemented, thanks to MySQL database storage and PHP programming. Workers have access to and can contribute to the organization's information, which encourages high flexibility and supports worker mobility. In general, it is intended that the creation of this knowledge management system will serve as a valuable means of advancing knowledge management. Implementing this system is expected to increase employee productivity and performance while optimizing the use of knowledge owned by the company.
Analisis Sentimen Ulasan Pengguna Aplikasi Webtoon Menggunakan Text Mining Dan Algoritma Anggun Fergina; Ivana Lucia Kharisma; Putri Anugrah S; Armelia Isabela Taek
Jurnal Informasi dan Teknologi 2023, Vol. 5, No. 2
Publisher : SEULANGA SYSTEM PUBLISHER

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.60083/jidt.v5i2.355

Abstract

Line Webtoon adalah aplikasi populer untuk membaca komik secara online yang tersedia di Google Play Store. Aplikasi ini telah hadir sejak tahun 2015 dan memiliki komunitas pengguna yang besar. Dari total 35 juta pengguna aktif Line Webtoon di seluruh dunia, sekitar 6 juta di antaranya berasal dari Indonesia. Meskipun aplikasi ini sangat populer dan mendapatkan banyak ulasan bintang 5, tidak semua pengguna merasa puas dengan kinerja aplikasi Line Webtoon. Hal ini terlihat dari ulasan yang diberikan oleh pengguna di kolom komentar di Play Store. Pengguna baru sering menggunakan ulasan pengguna sebagai acuan untuk menentukan aplikasi terbaik dan memuaskan untuk digunakan. Dalam penelitian ini, dilakukan analisis sentimen pengguna aplikasi Line Webtoon dengan tujuan mengklasifikasikan ulasan pengguna menjadi sentimen positif dan negatif. Algoritma yang digunakan untuk klasifikasi adalah Support Vector Machine. Penelitian ini menggunakan total 15.000 data set yang dikumpulkan melalui web scraping dari tahun 2018 sampai 2023. Data dibagi menjadi 80% data training dan 20% data testing, dan menghasilkan nilai akurasi sebesar 82%, presisi sebesar 89%, recall sebesar 82%, dan f1-measure sebesar 85%.
Measuring the Usability of the KPOP’s Application at the South Sumatra Provincial Library Service Using the System Usability Scale Method Julianti, Eliza; Megawaty, Megawaty
Jurnal Informasi dan Teknologi 2024, Vol. 6, No. 1
Publisher : SEULANGA SYSTEM PUBLISHER

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.60083/jidt.v6i1.394

Abstract

Current technological developments are very influential in helping work in an agency with the presence of technology able to provide convenience for the community, especially for library service users. KPOP’s is an application in the South Sumatra provincial library to assist visitors in collecting member data and information. The information system in the application needs to be known in measuring the extent to which the KPOP’s application system can be used by users in terms of learnability, efficiency, memorability, errors, and satisfaction. The instrument used in this research is the SUS (system usability scale) method, where this method has 10 statements by distributing questionnaires to 100 respondents. The final results of this research obtained an average score of 69.45, categorized as Marginal High, the grade scale was at grade D, and the adjective ratings were OK, which was almost close to good in terms of use, so the KPOP’s application for the South Sumatra provincial library could be said to be effective in its use.
Pengembangan Media Edukasi Pengenalan Profesi bagi PAUD Melalui Augmented Reality Menggunakan Assemblr Ayu Indah Saraswati, I Dewa; Agus Widiana Putra, I Made; Agus Oka Gunawan, I Made
Jurnal Informasi dan Teknologi 2023, Vol. 5, No. 4
Publisher : SEULANGA SYSTEM PUBLISHER

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.60083/jidt.v5i4.463

Abstract

Perkembangan teknologi memainkan peranan yang penting dalam evolusi masyarakat dari satu era ke era lainnya dengan mempengaruhi berbagai sektor kehidupan, tidak terkecuali berimbas pada bidang pendidikan. Saat ini, kemunculan augemented reality (AR) menjadi sebuah inovasi signifikan dalam pengembangan media edukasi. AR memiliki kemampuan unik untuk menciptakan lingkungan pembelajaran hybrid yang mendalam dengan menggabungkan objek nyata dan virtual dalam dua dimensi atau tiga dimensi ke dalam sebuah lingkungan yang nyata kemudian memproyeksikannya secara real-time. Tujuan utama dari penelitian ini adalah mengembangkan media edukasi yang lebih kreatif dan inovatif dengan mengintegrasikan teknologi AR, sehingga dapat memfasilitasi interaksi antara peserta didik dengan lingkungan pembelajaran mereka agar menjadi interaktif dan menarik yang dibuat melalui aplikasi assemblr dan dilengkapi adanya marker-based tracking. Metode yang digunakan, yaitu R&D dengan model ADDIE, dimana melibatkan lima langkah pengembangan, yaitu Analysis, Design, Development, Implementation, dan Evaluation. Penelitian ini menghasilkan sebuah produk pengembangan media edukasi berbasis buku tema pengenalan profesi yang ditingkatkan dengan teknologi augmented reality (AR). Dengan melibatkan pengujian blackbox testing untuk mengevaluasi fungsionalitas pengembangan media menggunakan 7 skenario menunjukkan hasil yang sesuai dengan harapan, dimana proses pemindaian menggunakan assemblr edu mobile yang terdapat pada smartphone dengan marker yang tersedia di buku dapat menampilkan konten berupa object 3D dan elemen-elemen tambahan melalui tiga menu utama, yaitu materi, quiz, dan games guna memperdalam pemahaman anak-anak mengenali berbagai macam profesi yang ada. Saran untuk pengembangan media selanjutnya, seperti menyediakan variasi objek 3D, meningkatkan pemodelan objek 3D, mengoptimalkan transisi antar scene, serta memastikan koneksi internet yang stabil saat pemindaian marker.
Penerapan Teknologi WebRTC pada Aplikasi E-Learning Sakinah, Putri; Thoriq, Muhammad; Hendra, Yomei; Hariani Manurung, Kiki; Hayati, Nova
Jurnal Informasi dan Teknologi 2023, Vol. 5, No. 4
Publisher : SEULANGA SYSTEM PUBLISHER

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.60083/jidt.v5i4.492

Abstract

Perkembangan Teknologi Informasi pada era globalisasi telah meningkatkan produktifitas berbagai aktivitas manusia bagi setiap bidang dan pekerjaan salah satunya terhadap dunia pendidikan. Inovasi multimedia pembelajaran dihasilkan dari perkembangan teknologi yang dapat membantu proses belajar mengajar menjadi lebih fleksibel dengan adanya produk teknologi berbasis aplikasi E-Learning. Metode pembelajaran menggunakan sistem e-learning dapat membantu pendidik dan pelajar dalam distribusi materi pembelajaran dengan internet yang saling terhubung dimana saja dan kapan saja sehingga dapat memaksimalkan waktu pembelajaran di ruang kelas yang terbatas. Dengan adanya perkembangan teknologi, aplikasi e-learning dapat dikembangkan menjadi lebih komunikatif . WebRTC merupakan salah satu teknologi yang dapat membuat aplikasi e-learning memiliki fitur/menu yang dapat memiliki akses komunikasi secara real time dari penggunanya. Tujuan dari penelitian ini adalah untuk menerapkan penggunaan sebuah aplikasi E-Learning yang memiliki teknologi WebRTC untuk penunjang fasilitas belajar mengajar dari jarak jauh agar bisa tetap terlaksana.
Analysis of The Influence of Price, Digital Advertising and E-Service Quality on Digital Repurchase Intention of Online Travel Platform Users Sudirjo, Frans; Setyo Oetomo, Dedy; Grace Putrianti, Flora; Abubakar, Faisal; Lamboy Sinaga, Victor
Jurnal Informasi dan Teknologi 2024, Vol. 6, No. 1
Publisher : SEULANGA SYSTEM PUBLISHER

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.60083/jidt.v6i1.493

Abstract

This study aims to assess the effects of price, e-service quality, and advertising on online travel agent users' propensity to repurchase. Convenience sampling was used to select 100 respondents to serve as study participants, giving us the research sample. Through observations, questionnaires, and interviews, we gathered data. The primary technique for data analysis employed by the researchers was multiple linear regression, and they employed a descriptive study design. Important results show that repurchase intention is significantly influenced by advertising. The price variable, which exhibits a strong influence on repurchase intention, experiences the same phenomenon. Repurchase intention is also significantly influenced by the quality of the e-service. These findings corroborate the hypothesis that consumers of online travel agencies have a propensity to repurchase based on factors such as price, advertising, and e-service quality. Additionally, the study's findings show that the combination of these three factors pricing, e-service quality, and advertising significantly affects repurchase intention. This suggests that consumers repurchase intentions on the online travel agent platform can be raised by a clever combination of advertising-based promotion, competitive pricing, and high-quality online services. The development of marketing and customer service initiatives in the online travel agency sector can benefit greatly from these findings.
Application of Naive Bayes Classifier Method to Analyze Social Media User Sentiment Towards the Presidential Election Phase Dharta, Firdaus Yuni; Januar Mahardhani, Ardhana; Rachmawati Yahya, Sitti; Dirsa, Andika; M. Usulu, Elvira
Jurnal Informasi dan Teknologi 2024, Vol. 6, No. 1
Publisher : SEULANGA SYSTEM PUBLISHER

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.60083/jidt.v6i1.494

Abstract

This research aims to analyze the sentiment of social media users towards the election. The author collected data in this research through a literature study and observation. The author uses a classification method with the Naïve Bayes Classifier Algorithm and Support Vector Machine to analyze sentiment results. Next, this research extracts word assessment features using TextBlob, which changes text into positive or negative classes. Based on the research results, after going through the text preprocessing stage of more than 15,000 tweets, 11,000 clean tweets were obtained, which were then labelled using the text blob library in Python. The labelling results show that 4,000 tweets are positive, and the rest are harmful, indicating that most social media users' sentiment towards the election is positive. Words that often appear in the positive class express support and confidence in implementing elections that are considered honest and fair. On the other hand, words in the negative class reflect negative sentiment towards implementing elections, which are considered unsuccessful and time-consuming. The Naïve Bayes method provides accuracy, precision, and recall values of 85%, 80%, and 75%. In the Support Vector Machine method, testing is carried out with three kernels (linear, RBF, and poly), where the poly kernel with the best parameter values C is ten and degree is 1 produces the highest accuracy, precision, and recall of 90%, 90%, and 85%, respectively.
Application of the Unified Theory of Acceptance and Use of Technology Approach to Analyze User Acceptance of Digital Banking Services Anindya Pangestika, Mirza; Soleh; Majid, Jamaluddin; Wildan Nuryanto, Uli; Hadi, Syamsul
Jurnal Informasi dan Teknologi 2024, Vol. 6, No. 1
Publisher : SEULANGA SYSTEM PUBLISHER

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.60083/jidt.v6i1.495

Abstract

The Purpose Of This Study Is To Ascertain The Degree Of User Acceptance Of Digital Banks And To Test Theories On The Variables That Affect Users' Approval Of These Financial Institutions. This Research Employs A Quantitative Methodology. Questionnaires, observations, and a literature review are used to gather data for this study. The Jabodetabek Area's digital bank customers make up the research population. Purposive Sampling Was The Method Utilized For This Study, And There Were 100 Respondents In All. Statistical Analysis And Demographic Analysis Make Up Data Analysis. The Researcher Conducted Demographic Analysis Using Microsoft Excel And Performed Statistical Analysis By Analyzing The Outer And Inner Models With The PLS-SEM Approach Using Smartpls. The Research Results Showed That The Behavioral Intention Variable Showed An Influence Of 80%, While The Use Behavior Variable Had An Influence Of 70%. Furthermore, The Factors Or Variables That Influence The Behavioral Intention Of Digital Bank Users Include Social Influence, Price Value, Perceived Credibility, Self-Efficacy, Facilitating Conditions, And Habit. Meanwhile, Factors Or Variables That Influence The Use Behavior Of Digital Bank Users Involve Facilitating Conditions, Habit, And Behavioral Intention. With Most Hypotheses Accepted, This Research Makes A Positive Contribution To Understanding The Factors That Influence User Acceptance Of Digital Banks.
Analysis of Customer Satisfaction Using the End User Computing Satisfaction Approach Toward Users of Digital Post-Payment Application Gopay Later Sudirjo, Frans; Geertruida Bororing, Grace Martha; Harsono, Iwan; Widia Nurdiani, Tanti; Naim, Ifin
Jurnal Informasi dan Teknologi 2024, Vol. 6, No. 1
Publisher : SEULANGA SYSTEM PUBLISHER

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.60083/jidt.v6i1.496

Abstract

The purpose of this study is to identify and quantify the factors that affect consumers' satisfaction when they use pay later. This study uses a quantitative methodology. Researchers used questionnaires to get information. To pick 100 respondents from the research population, which was made up of pay later users who were actively using the service, the researchers used purposive selection approaches. Partial least squares structural equation modeling is the data analysis technique used in this study (PLS-SEM). The research findings indicated that there was a high degree of goodness and excellence in the data quality and the data outcomes acquired through the outer and inner models. All hypotheses tested in this study were accepted, indicating that the variables measured, such as content, accuracy, format, and ease of use, have a significant effect on the level of end-user satisfaction. Testing of the model structure also confirmed the acceptance of all hypotheses, with accuracy proven to have the greatest influence on ease of use. This research shows that the accuracy aspect of the use of a system or product has the most significant impact on user satisfaction. However, it is important to note that all variables, including content, format, and ease of use, also positively contribute and cannot be ignored. Therefore, even though accuracy has the greatest influence, the presence of all these factors remains an important aspect of analyzing customer satisfaction in this research.
Analysis of the Influence of Product Cost and Perceived Advertising Costs Through Digital Devices on Digital Brand Equity of American Fast-Food Products McDonalds Sudirjo, Frans; Fajri, Muhammad Iqbal; Ilyas, Arifai; Kespandiar, Tengku; Permadi, Indra
Jurnal Informasi dan Teknologi 2024, Vol. 6, No. 1
Publisher : SEULANGA SYSTEM PUBLISHER

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.60083/jidt.v6i1.497

Abstract

The purpose of this research is to demonstrate and examine how perceived advertising budget and pricing deals affect perceived quality and brand image, as well as how brand loyalty, brand awareness, and brand image are affected. Descriptive research is what this study is doing. The research approach employed by the investigators was a cross-sectional design. In this study, a questionnaire is used to collect data. This study's target demographic consists of all individuals who have visited, seen, and bought merchandise. Scientists employed judgmental sampling, a non-probability sampling method. One hundred persons made up the research sample. This study makes use of the confirmatory factor analysis approach in conjunction with the SEM data processing technology. The analysis's findings indicated that perceived advertising spending positively impacted perceived quality. Brand loyalty is positively impacted by perceived ad spend. Brand recognition is positively impacted by perceived ad spending. Brand image benefits from perceived advertising expenditure. Discounts on prices positively impact the perception of quality. Discounts have a detrimental effect on a brand's reputation. Thus, these results provide important insights for companies in designing their marketing strategies. They need to carefully consider the allocation of their promotional funds, ensuring that investment in perceived advertising spending is balanced with the benefits derived while also being mindful of the risks associated with excessive use of price deals. By understanding the relationship between these factors, companies can optimize their marketing efforts to strengthen their brand image and improve their product performance in the marketplace.

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