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Contact Name
Prof. Dr. H. Jufriadif Na`am, S.Kom, M.Kom
Contact Email
jufriadifnaam@upiyptk.ac.id
Phone
+6287895670026
Journal Mail Official
jidt@upiyptk.ac.id
Editorial Address
Kampus Universitas Putra Indonesia YPTK Padang Jl. Raya Lubuk Begalung Padang, Sumatera Barat - 25221
Location
Kota padang,
Sumatera barat
INDONESIA
Jurnal Informasi dan Teknologi
ISSN : 27149730     EISSN : 27149730     DOI : https://doi.org/10.37034/jidt
Core Subject : Science,
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.
Articles 51 Documents
Search results for , issue "2023, Vol. 5, No. 4" : 51 Documents clear
Application of Analytic Hierarchy Process and Simple Additive Weighting in Designing The Best Employee Selection Decision Support System at PT Pos Indonesia Karsim, Karsim; Dharmawan, Donny; Mus Abdul, Elfis; Zulaika, Siti; Mertua Agung Durya, Ngurah Pandji
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.v5i4.453

Abstract

The purpose of this study is to compare the best employee evaluation outcomes using the analytical hierarchy process (AHP) technique and simple additive weighting (SAW) method as a support system for best employee suggestions. The author employed four different approaches for gathering data for this study: literature studies, interviews, observation, and similar literature studies. The RAD paradigm is being used in the development of this decision support system (DSS). The unified modeling language, or UML, tool is used in this system development methodology. It's time to put the system into action after it has been designed and analyzed. The black box testing methodology will be used for the experiments. Based on the research results, it was found that this system was able to assist decision makers in providing employee assessments quickly and precisely according to the predetermined time, whereas previously managers were always late and exceeded the time limit when assessing employees. The output of this system is that it can provide direct reports to the employees being assessed to find out the results of the scores obtained and make decisions about selecting the best employees. A decision support system for employee performance assessment uses the PHP and MySQL programming languages as the database. AHP and SAW methods, rapid application development (RAD) system development methods, and system testing with black box testing.
Analysis of The Influence of Technology Perceived Quality, Digital Advertising and Technology Digital Experiental Marketing on Customers Intention to Purchase at Marketplace Platform Tokopedia Sudirjo, Frans; Nurbakti, Rezky; Hadi Nugroho, Isfauzi; Ekaputra, Adriansyah; Yuniarti Utami, Eva
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.v5i4.454

Abstract

The study's goal is to examine how advertising, perceived quality, and experiential marketing affect consumers' decisions to buy. The judgment sampling approach is the sample technique employed in this study. Based on the assumption that respondents had shopped online, samples were chosen. One hundred samples will be collected for this study. In this study, the author employed two different types of data: primary and secondary. Using Cronbach's alpha, researchers assess a variable's dependability in this test. Multiple linear regression analyses are used in the examination of research data. Experience marketing, perceived quality, and advertising are found to have a major impact on the purchasing decisions of customers who actively use e-commerce applications, according to the research findings. The a-value of 13.4 shows the buyer's decision value when there is no influence from the experiential marketing, perceived quality, or advertising variables. The regression coefficients b1, b2, and b3 each show that a one-unit increase in the experiential marketing, perceived quality, and advertising variables will result in an increase in purchasing decisions by 0.24, 0.2, and 0.24 respectively.
Analysis of The Influence of Situational Digital Advertising Through Online Video Sharing and Social Media Platform on Customers Intention to Purchase at E-Commerce Application Shopee Ekaresty Haes, Putri; Dharmawan, Donny; Serius Nazara, Desman; Arwani, Mokhamad; Yuniarti Utami, Eva
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.v5i4.455

Abstract

This research aims to determine the effect of advertising exposure on shopping interest. The paradigm used in this research is the positivism paradigm. This study uses a quantitative approach. This research uses non-experimental research methods with a type of method, namely the survey method. The population in this study were students. The number of samples in this research was 100. The primary data for this research uses data obtained from a questionnaire that has been distributed in the form of a Google Form. The linear regression test in this research uses product moments with SPSS version 24 for Windows. Based on the findings and discussion of the research that has been carried out, it can be concluded that the level of advertising exposure is in the medium category with a percentage of 60%. The level of interest in shopping through applications is also in the medium category, with a percentage of 40%. From the research results, it can be concluded that advertising exposure influences shopping interest. Based on the results of the t-value, namely 3.5 > 1.98, The coefficient of determination in this equation has a positive value of 12.5%. This figure means that the advertising exposure variable does not have a big influence on shopping interest at 12.5%. Other factors that were not considered in this study contributed the remaining 87.5%. So the conclusion is that if the advertising exposure variable increases, then interest in shopping through the application will also increase. Vice versa, if advertising exposure decreases, shopping interest also decreases.
Aplikasi Metode Poka Yoke Untuk Mencegah Kontaminasi Produk Pada Industri Cat di Indonesia Suhendra, Suhendra; Fitra, Adi; Wiyatno, Tri Ngudi; B. Juliantoro, Krisna; Maryadi, Dery
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.v5i4.456

Abstract

PT XYZ merupakan perusahaan yang bergerak dalam bidang pembuatan cat berbahan dasar air. Produk yang dihasilkan oleh perusahaan ini merupakan cat dasar dengan sistem pewarnaan campuran, sehingga memerlukan sistem pengendalian agar tidak terjadi kontaminasi pada saat pergantian produk. Berdasarkan data produksi Januari 2023, tercatat bahwa 94% defect kontaminasi produk disebabkan oleh kesalahan manusia (human error) yang terjadi pada saat pergantian produk berbahan dasar putih (base A) ke produk berbahan dasar transparan (base C). Tujuan dari penelitian ini adalah untuk membuktikan bahwa metode Poka Yoke mampu mengendalikan resiko kesalahan manusia selama proses pergantian produk berlangsung dari tangki pelarut ketangki pencampur. Penerapan metode Poka Yoke di PT XYZ, melalui pembuatan matriks untuk mengatur buka-tutup valve serta pemberian identifikasi, telah berhasil mengelola risiko kesalahan manusia. Dampaknya adalah penurunan cacat kontaminasi produk hingga mencapai nol cacat (zero defect).
Analysis of Internal Inventory Control Systems and Accounting Information Systems For Product Stock Inventory in A National Corporate Wear Manufacturing Company Pramudito, Dendy K; Kamar, Karnawi; Bakri, Asri Ady; Husaini; Pratiwi, Noor Komari
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.v5i4.457

Abstract

The purpose of this study is to evaluate the impact of the accounting information system and internal control system on goods inventory. This kind of study employs a descriptive-qualitative methodology. Field research is the method used in this study. The qualitative descriptive analysis method of data analysis was applied in this study. According to the study's findings, the control environment that was put in place proved to be successful because, with a 50% score, three out of the six control environment indicators satisfied the standards for the control environment. The risk assessment implemented has been very effective, with a score of 100% for three of the three indicators that fulfill the risk assessment requirements. The control activities implemented have been effective, with a score of 60% for three of five indicators that fulfill the control activity requirements. The information and communication implemented are very effective, with a score of 100%. The monitoring carried out has been very effective. The accounting information system implemented is very effective, with a score of 100%. Using the COSO Framework to set up an internal control system and an accounting information system has not yet fully met the requirements; the results from the checklist form show that more than 80% of the items are suitable.
Application of the K-Nearest Neighbor Algorithm Method to Analyze Netizen Responses and Reactions Toward the Relocation of Capital City at social media Ziaul Haq, Muhammad; Sri Wahyuningsih, Suluh; Nursalim; Nuryanto, Uli Wildan; Rachman, Andy
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.v5i4.458

Abstract

Sentiment analysis is a form of natural language processing that uses word analysis to ascertain people's thoughts, feelings, and views on a certain topic. In this study, word processing refers to the procedure used to categorize written texts into positive and negative emotion categories. Using data crawling techniques, information on public comments on the relocation of Indonesia's capital was gathered from Twitter social media. Keywords related to the move included "new capital," "moving capital," and "moving capital with 10,000 comments." The author of this work classified test data and training data using a lexical approach using the K-Nearest Neighbor (K-NN) method. The purpose of this study is to evaluate the K-NN algorithm's accuracy, error rate, precision, f-measure, and recall. In order to identify the ideal parameters, tests were also conducted on calculating the k value in the K-Nearest Neighbor (K-NN) method. Testing the K-Nearest Neighbor (K-NN) method yielded the greatest accuracy level of 60% with a k value of 9, concluding with the initial data collection. The K-Nearest Neighbor (K-NN) technique was evaluated in the second data collection, and with a k value of 5, it had the best accuracy level of 70%. Future scholars might create texts in languages other than Indonesian and categorize those that include visuals in them. Next, add more dictionaries to the collection and extract features from bigrams, trigrams, quadgrams, and other combinations. You may then employ several algorithmic techniques in the accuracy calculation feature.
Analysis of the Influence of Customer Perceptions of the Ease-of-Use Digital Electronic Money on Intention to Use Digital Wallet Application Ovo Sudirjo, Frans; Dharmawan, Donny; Hardayu, Audisty Prana; Nurcholifah, Ita; Kurniawan, Yohanes Jhony
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.v5i4.461

Abstract

The purpose of this study is to ascertain how students' attitudes about electronic money affect their desire to use e-wallets. This study employs a descriptive-quantitative methodology. In this study, a survey method was employed. All of the participants in this study were students. A proportionate stratified random sample strategy was employed in this study. The following methods of gathering data were employed in this study: questionnaires, interviews, and documentation. The coefficients table shows that this study used the Windows version of SPSS to calculate the regression. The analysis and debate revealed that students' attitudes toward electronic money have a big impact on whether or not they are interested in utilizing e-wallets. The results of a basic linear regression analysis test demonstrate this, indicating that H0 is rejected if sig ≤ 0.05 with a sig value of 0.001. This is also consistent with the coefficient of determination test results, which indicate that the R square value is 0.16. It may be concluded that students' opinions about electronic money and enthusiasm in utilizing e-wallets are influenced by 16%. Technological innovation, perceived benefits, and perceived convenience all have a big impact on interest in utilizing e-wallets.
Application of Support Vector Machine and Naive Bayes Method to Analyze Mobile Banking User Behavior Through social media Twitter. Pramudito, Dendy K; Tubagus, Munir; Ismail, Andy; Anggraini, Fransisca Dyah; Pradnya Paramita, Catarina Cori
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.v5i4.462

Abstract

The purpose of this research is to use Naive Bayes and Support Vector Machines (SVM) to determine sentiment analysis on social media related mobile banking. The author used a quantitative technique in this study. Data crawling and a review of the literature were two of the methods used in the collection process. Author using SEMMA technique. The process of defining and articulating the problem leads to this research phase. RapidMiner software is used in this study at every step of the data processing process while using the SEMMA approach. 580 positive and 650 negative feelings were produced by the Naïve Bayes classification approach, whereas 720 positive and 410 negative sentiments were produced by the Support Vector Machine (SVM) classification method. The Naïve Bayes approach yields 90% accuracy with a 1% margin of error, 91% precision for positive predictions, 89% precision for negative predictions, 90% recall for positive data, and 90% recall for negative data. An accuracy value of 89% with a margin of error of 3%, positive predictive precision of 67%, negative predictive precision of 99%, positive data recall of 95%, and negative data recall of 88% are obtained by the Support Vector Machine (SVM) approach. The data used is from the Naïve Bayes approach since it has a higher accuracy value of 90% than the Support Vector Machine (SVM) method, based on the accuracy, precision, and recall values of the two classification methods. Social media users tend to have more positive perceptions regarding mobile banking since positive sentiment outweighs negative sentiment.
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.