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INDONESIA
Telematika : Jurnal Informatika dan Teknologi Informasi
Published by Universitas Pembangunan Nasional Veteran Yogyakarta
ISSN : 1829667X     EISSN : 24609021     DOI : 10.31315
Core Subject : Engineering,
Electrical & Electronics Engineering
Arjuna Subject : -
Articles 361 Documents
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Implementation Of Mobile-Based OOAD Interactive Learning Media I Nyoman Tri Anindia Putra; Ketut Sepdyana Kartini; Komang Redy Winatha
Telematika Vol 19, No 2 (2022): Edisi Juni 2022
Publisher : Jurusan Teknik Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31315/telematika.v19i2.7363

Abstract

The lack of interest in student learning is due to the learning media used are less attractive and effective to understand the material. This study aims to implement mobile-based interactive learning media regarding OOAD material. The media feasibility test uses a blackbox testing scenario and the analysis uses the Gutman scale technique. From the test results, it was found that the percentage of blackbox testing was 100% and the functional requirements test by the resource persons obtained a percentage of 100%. Based on the results of these studies, it can be explained that this learning media is very good and has been feasible to be implemented.
Customer Loyalty Analysis On Online Travel Agent (OTA) Using American Customer Satisfaction Index (ACSI) And Structural Equation Modelling (SEM) Yanu Ramdhani Saputra; Herlina Jayadianti; Dyah Ayu Irawati
Telematika Vol 19, No 3 (2022): Edisi Oktober 2022
Publisher : Jurusan Teknik Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31315/telematika.v19i3.7734

Abstract

Purpose: Knowing what affects customer loyalty in Online Travel Agent (OTA) Services. Which will help OTA Services to understand about customer satisfaction and customer loyalty so that they can develop their business in the future in order to get greater customer satisfaction and loyalty.Design/methodology/approach: Using the American Customer Satisfaction Index (ACSI) Model which explains the antecedents and consequences of customer satisfaction. In Antecedent there are variables of User Expectations, Perceived Quality, and Value benefits that have an impact on customer satisfaction variables then from causing customer complaints and customer loyalty. So that 9 research hypotheses are obtained based on the model used and tested using Structural Equation Modeling (SEM). Research requires data on respondents' answers distributed through digital media with a total need for 385 respondent data.Findings/result: After testing using SEM.The 9 hypotheses proposed show that 2 hypotheses are rejected and 7 hypotheses are accepted.Originality/value/state of the art: Previous research has been done but with different models and different methods.
Analysis of Sentiments and Emotions about Sinovac Vaccine Using Naive Bayes Bagus Muhammad Akbar; Ahmad Taufiq Akbar; Rochmat Husaini
Telematika Vol 19, No 2 (2022): Edisi Juni 2022
Publisher : Jurusan Teknik Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31315/telematika.v19i2.7601

Abstract

Tujuan:Banyak negara di dunia telah berusaha mengendalikan dampak pandemi COVID-19 melalui penggunaan vaksin. vaksin sinovac merupakan salah satu vaksin populer yang telah digunakan di beberapa negara termasuk Indonesia. Sejak hadirnya vaksin sinovac, persepsi masyarakat baik di lapangan maupun di media sosial semakin muncul antara setuju dan tidak setuju dengan vaksin tersebut. Persepsi masyarakat dunia di media sosial dapat dianalisis untuk mengetahui kategori sentimen dan tingkat emosional masyarakat terhadap penerimaan vaksin Sinovac.Perancangan/metode/pendekatan:Analisis dapat dilakukan melalui data mining yang menggunakan algoritma Naive Bayes untuk menghitung probabilitas dan statistik sehingga setiap opini dapat diklasifikasikan dalam kategori sentimen positif, negatif, atau netral. Dalam penelitian ini, sumber analisis data adalah persepsi publik yang mengandung kata kunci “sinovac” dari twitter. Pengujian menggunakan sentimen, sentimen, dan library syuzhet menunjukkan bahwa sentimen positif lebih tinggi daripada negatif dan netral. Sentimen negatif paling dipengaruhi oleh tingkat emosional kesedihan dan kemarahan. Sedangkan sentimen positif sangat dipengaruhi oleh kategori senang dan emosi campur aduk. Kategori emosi campuran lebih sesuai dengan sentimen positif.Hasil:Klasifikasi emosi terhadap data tweet dalam penelitian ini menunjukkan bahwa kategori emosi kegembiraan, dan campuran memiliki persentase tertinggi yang mengandung polaritas sentimen positif. Berdasarkan penelitian ini, kata kunci sinovac cenderung memunculkan sentimen positif. Polaritas mempengaruhi emosi, namun tidak sebaliknya. Karena terlihat bahwa nilai akurasi pada klasifikasi polaritas (dengan kedua library) telah meningkat ketika fitur emosi tidak diikutkan. Sedangkan nilai akurasi pada klasifikasi emosi justru meningkat ketika fitur polaritas diikutkan.Keaslian/ state of the art:Metode Naive Bayes (library setiment) dan metode Valence Shifter (library sentimentr) yang digunakan dalam analisis sentimen pada penelitian ini menunjukkan bahwa sentimen positif lebih tinggi daripada netral dan negatif. Hasil persentase sentimen positif oleh metode Valence Shifter lebih rendah daripada metode Naive Bayes. Pada metode Valence Shifter cenderung menghasilkan agregat yang lebih kecil antara hasil persentase sentimen positif dibanding netral dan negatif.
Augmented Reality Introduction to Animals of the Archipelago to Grow the Nation's Love for Children Anis Susila Abadi; Pipit Febriana Dewi; Bambang Robi'in
Telematika Vol 19, No 3 (2022): Edisi Oktober 2022
Publisher : Jurusan Teknik Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31315/telematika.v19i3.7929

Abstract

Purpose: Produce Augmented Reality applications as a medium for introducing Indonesian animals to foster the nation's love for children.Design/methodology/approach: AR applications are built using markers. AR application development uses the MDLC method, which consists of six stages, namely concept, design, material collection, manufacture, testing, and distribution.Findings/result: This research resulted in the application of Augmented Reality Animal Recognition. The results of the tests that have been carried out using the similarity test of 92% for testing the similarity of 3D objects on animals. SEQ testing with an average result of 91.18 on a scale of 10, so it can be concluded that the application has met the needs of users.Originality/value/state of the art: The development of this application focuses on AR applications with models of Indonesian animals and explanations of the characteristics of these animals.
Analisys Mortality Rate of Tuberculosis Patients Seen From Age and Length of Treatment at RSUD Dr. M. Haulussy Ambon Using the K-Means Clustering Algorithm for the Rapidminer Application Doms Upuy; Citra Fathia Palembang
Telematika Vol 19, No 3 (2022): Edisi Oktober 2022
Publisher : Jurusan Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31315/telematika.v19i3.7709

Abstract

Tuberculosis (TB) is an infectious disease that causes major health problems in the world by the bacterium Mycobacterium tuberculosis. It spreads through the air when people with TB cough or sneeze. Maluku was in the 10th position with the most TB cases in Indonesia in 2016. Various programs and activities to control TB in Ambon City are carried out, from the process of finding cases, treating patients, health promotions to sputum examination. After that, an evaluation is carried out as an effort to prevent and control to measure the level of success and effectiveness of institutional programs in order to achieve organizational goals. To find out the development of TB cases in Maluku, especially the city of Ambon, the research conducted this time also used the k-means clustering algorithm for the rapidminer application to analyze the death rate of TB patients in terms of age and length of treatment at RSU Dr. M. Haulussy Ambon. The research conducted obtained that the highest number of patients who died were in cluster 1 with an age range of 36-55 years, then followed by the second position in cluster 0 with an age range of 6-33 years, and the last in cluster 2 with a total number of patients. died in the age range of 59-84 years. The length of stay of patients in the hospital varies from half a day to day 21 and is experienced by patients who recover as well as die. The highest patient mortality rate is in the productive age group, rarely does exercise and often engages in active activities and meets many people every day, smoking habits and lack of knowledge about health are the causes of more productive age groups suffering from TB
Deep-RIC: Plastic Waste Classification using Deep Learning and Resin Identification Codes (RIC) Latifah Listyalina; Yudianingsih Yudianingsih; Adjie Wibowo Soedjono; Evrita Lusiana Utari; Dhimas Arief Dharmawan
Telematika Vol 19, No 2 (2022): Edisi Juni 2022
Publisher : Jurusan Teknik Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31315/telematika.v19i2.7419

Abstract

In this study, the authors designed an algorithm based on deep learning that can automatically classify plastic waste according to Resin Identification Codes (RIC). The proposed algorithm is built through several stages as follows. In the first stage, image acquisition of plastic waste is carried out, which is the input of the designed algorithm. The acquired plastic waste image must display the resin code of the plastic waste to be classified. Furthermore, the acquired image is divided into two sets, namely training and testing sets. The training set contains images of plastic waste used in the training phase of the deep learning architecture DenseNet-121 to identify the resin code of each plastic waste image and classify it into the appropriate class. The training phase is run for 100 epochs, and at each epoch, the cross-entropy loss function is calculated, which expresses the performance of the deep learning architectures in classifying plastic waste images. In the next stage, a trained deep learning architecture is used to classify the plastic waste images from the test set. Classification performance in the test set is also expressed as the cross-entropy loss function value. In addition, the accuracy value has also been calculated, which shows the percentage of the number of plastic waste images successfully classified correctly to the total number of plastic waste images in the test set, which the best accuracy is equal to 85%.
Implementation of Design Thinking for Web Based E-Voting Student Organization in Nahdlatul Ulama University of Yogyakarta Pipit Febriana Dewi; Abdulloh Badruzzaman; Muhammad Hanif Misbahuddin; Moh Rifqi Febriawan
Telematika Vol 19, No 3 (2022): Edisi Oktober 2022
Publisher : Jurusan Teknik Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31315/telematika.v19i3.7962

Abstract

Purpose: implement design thinking for web based E-Voting Student Organization in Nahdlatul Ulama University of YogyakartaDesign/methodology/approach:the method which used in this research is design thinking. The steps in this method are emphatize, define, ideate, prototype, and testFindings/result:the development of E-Voting is succesfully made according to user needsOriginality/value/state of the art:E-Voting web-based for student organization in Nahdlatul Ulama University of Yogyakarta
Framework Management to Minimize Risk in Protecting Enterprise Systems: Systematic Literature Review Soni Adiyono; Romy Aziz Risaldi; Aris Puji Widodo; Eko Sediyono
Telematika Vol 19, No 2 (2022): Edisi Juni 2022
Publisher : Jurusan Teknik Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31315/telematika.v19i2.6534

Abstract

Purpose: This study aims to determine the efforts to minimize the occurrence of risks in enterprise systems and how far the framework is applied to an organization, as well as what steps must be applied in anticipation of it.Design/methodology/approach: This study uses a systematic review research method of literature published by international journals in the period 2016 to 2021 which is subscribed to by Diponegoro University.Findings/result: Most of the selected journals stated that in an effort to secure enterprise systems in an organization, they really consider several aspects in it, especially in terms of cost which is one of the biggest considerations in it, besides that support from policy makers must be needed to make guidelines in implementing framework (framework) regarding the limitations of Authentication access and interaction on a system.Originality/value/state of the art: the method applied will focus on discussing the realm of enterprise systems, specifically discussing framework management in an effort to minimize risks to enterprise systems. 
Capability Level Analysis of IT Governance Using COBIT 5 on Continuity and Availability Of Services (Case Study: LMS Spada Wimaya) Dyah Anggraini Kartika Putri; Juwairiah Juwairiah; Frans Richard Kodong
Telematika Vol 19, No 3 (2022): Edisi Oktober 2022
Publisher : Jurusan Teknik Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31315/telematika.v19i3.7059

Abstract

Purpose: This study aims to assess the capability level to determine the condition of the capability level as-is, to-be, gap analysis and provide recommendations for improving IT governance in the continuity and availability process of LMS Spada Wimaya service. Design/methodology/approach: The capability level assessment refers to the COBIT 5 Process Assessment Model (PAM) assessment criteria with the research stages adopting the COBIT 5 Assessment Process Activities. Findings/result: Based on the urgency and problems that occur in LMS Spada Wimaya related to the continuity of service availability, the appropriate COBIT 5 enterprise goals are chosen, namely Business Service Continuity and Availability which describes in achieving the vision and mission goals of UPN "Veteran" Yogyakarta related to the procurement of LMS Spada Wimaya. The process of mapping results is prioritized based on impact and importance. The results of the assessment of the current capability level (as-is) in the BAI06, DSS03, DSS05, and MEA01 processes are at level 2 with the expected target capability level (to-be) at level 3 with a gap level of 1. DSS01, DSS02, and DSS04 are at level 1 with a target capability level (to-be) expected at level 3 with a gap level of 2. output criteria, setting performance goals and targets, making Standard Operating Procedures (SOP), conducting performance assessments to ensure compliance. Originality/value/state of the art: This study has the same focus as previous research, which is measuring the ability of the IT governance level with the criteria for the COBIT 5 Model Assessment Criteria (PAM), but is implemented in a different case study and the focus of the process is in accordance with the results of mapping the alignment of organizational goals with COBIT 5 IT goals according to urgency and problems that describe in achieving the vision and mission of the object of research.
Detection of Student Drowsiness Using Ensemble Regression Trees in Online Learning During a COVID-19 Pandemic I Putu Agus Eka Darma Udayana; Ni Putu Eka Kherismawati; I Gede Iwan Sudipa
Telematika Vol 19, No 2 (2022): Edisi Juni 2022
Publisher : Jurusan Teknik Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31315/telematika.v19i2.7044

Abstract

Online lectures are mandatory to deal with the implementation of education during the COVID-19 pandemic. This significant change certainly creates a different experience for students. Regarding online learning, several public health experts and ophthalmologists say that residual radiation from electronic screens is causing an epidemic of eye fatigue. Research on smart classrooms actually appeared several years ago, but in reality it has not been implemented according to the planned concept. The current smart classroom research environment only uses outdated methods, which make the computer system incongruent (such as decision trees in video feeds) or only to the level of empirical studies or blueprints, which are not much help for other academic footing or reference materials. to students. This study aims to build an intelligent system that can evaluate students' attention during online classes, use teaching videos as learning feeds and input for predictions and also use advanced algorithms in several computational domains, namely face segmentation, landmarking, PERCLOS observations, Yawning and decision analysis using Ensemble Regression Trees to detect students' sleepiness, which is expected to patch up the shortcomings of the PERCLOS algorithm and the problems found in the single regression tree-based implementation. Based on the results of the tests that have been carried out, the system developed has been able to observe sleepy objects in learning videos with an accuracy of 80% so that later it can be a lesson for teachers why there are students who are sleepy during online classes either because of uninteresting material or other reasons.

Page 22 of 37 | Total Record : 361

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