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Telematika : Jurnal Informatika dan Teknologi Informasi
ISSN : 1829667X     EISSN : 24609021     DOI : 10.31315
Core Subject : Engineering,
Arjuna Subject : -
Articles 11 Documents
Search results for , issue "Vol 19, No 3 (2022): Edisi Oktober 2022" : 11 Documents clear
Text Message Classification using Multiclass Support Vector Machine on Information Service Chatbot in the Informatics Department UPN “Veteran” Yogyakarta Rafly Pradana Putra; Awang Hendrianto Pratomo; Rifki Indra Perwira
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.v19i3.7418

Abstract

Tujuan: Menguji performa dari algoritma Multiclass Support Vector Machine dalam dalam tingkat akurasi, presisi, dan recall untuk melakukan klasifikasi pada pesan teks chatbot.Perancangan/metode/pendekatan: Menggunakan algoritma Multiclass Support Vector Machine untuk melakukan klasifikasi terhadap dataset yang bersifat nonbiner atau dataset yang memiliki lebih dari dua kelas.Hasil: Berdasarkan hasil penelitian dan pembahasan yang dilakukan, Algoritma Multiclass SVM dapat melakukan klasifikasi teks pesan yang dikirimkan dengan baik berdasarkan kategori pesan yang berkaitan dengan informasi yang ada di jurusan informasi, seperti administratif, dokumen, jadwal, kegiatan dan sapaan, dengan menunjukkan nilai akurasi sebesar 87%, nilai presisi sebesar 89% dan nilai recall sebesar 87%. Penelitian ini menggunakan dataset yang berjumlah sebanyak 950 data dengan pembagian data latih sebanyak 75% dari total keseluruhan data dan data uji sebanyak 25% dari total keseluruhan data.Keaslian/ state of the art: Penelitian ini memiliki perbedaan dalam hal jenis data yang digunakan adalah data teks pesan yang terbagi ke dalam 5 kategori, nilai parameter C dan gamma yang digunakan, dan hasil yang diperoleh jika dibandingkan dengan penelitian sebelumnya.
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.
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
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
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.
Serious Game Design Of Sound Identification For Deaf Children Using The User Centered Design Fadmi Rina; Anis Susila Abadi; Sholeh Huda
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.v19i3.7979

Abstract

The loss of hearing function in deaf children causes deaf children to experience obstacles in listening to the sound of objects or sounds of language as children generally hear. Therefore, it is necessary to optimize the hearing function of deaf children. The Development of Sound and Rhythm Perception Communication (PKPBI) is a special program to practice understanding sound so that the remaining hearing of deaf children can be maximized. So far, the PKPBI learning media at the sound identification stage used by the Karnna Manohara Yogyakarta Special School teacher is the keyboard. However, the keyboard has weaknesses such as the collection of sounds on the keyboard is very limited. Another problem is the Covid 19 pandemic, PKPBI learning is less than optimal due to limited face-to-face meetings. The purpose of this research is to design a serious game as a learning medium for sound identification for deaf children that can be used in the classroom and at home. The method used to design serious sound identification games is User Centered Design (UCD). Based on the research results, the design of this serious game can be developed into a serious game application to practice sound identification in deaf children.
IMPROVEMENT OF HANDWRITING JAVASCRAFT IMAGE QUALITY AND SEGMENTATION WITH CLOSING MORPHOLOGY AND ADAPTIVE THRESHOLDING METHODS Arif Riyandi; Shofwatul 'Uyun
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.v19i3.7564

Abstract

Tujuan: Perbaikan kualitas citra yang putus-putus atau terlalu tipis pada aksara jawa tulisan tangan menggunakan operasi morfologi dan mengumpulkan dataset secara otomatis dari proses cropping dengan metode Connected Component Labeling.Perancangan/metode/pendekatan: Menerapkan metode operasi morfologi dalam perbaikan citra putus-putus dan metode connected component labeling untuk membantu cropping dalam mengumpulkan dataset secara otomatis.Hasil: Hasil uji coba dengan beberapa kernel yang berbeda antara operasi morfologi opening dan operasi morfologi closing terpilih operasi morfologi closing dengan kernel (45,45) pada bagian dilasi dan kernel (37,37) pada bagian erosi. Hasil dari segmentasi yang terpilih lanjut ke cropping dengan bantuan metode connected component labeling dan klasifikasi convolutional neural network yang diterapkan untuk mengklasifikasi citra aksara jawa dengan baik. Akurasi yang diperoleh adalah sebesar 94,27 % pada proses klasifikasi menggunakan data training dan akurasi 84,53% pada proses klasifikasi menggunakan data validasi.Keaslian/ state of the art: Pengujian dari operasi morfologi opening dan operasi morfologi closing dengan masing-masing 6 kernel berbeda pada proses segmentasi citra aksara jawa untuk perbaikan kualitas citra. Pengumpulan dataset secara otomatis dari hasil cropping citra dengan bantuan metode connected component labeling dan hasil dataset yang terkumpul diklasifikasi untuk masing-masing citra aksara jawa.
Implementation of ERP in AKIP Evaluation System: A Case Study at The Ministry of Maritime Affairs And Fisheries Doni Wiryadinata; Eko Sediyono; Aris Puji Widodo
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.v19i3.7949

Abstract

Evaluasi kinerja pada instansi pemerintah merupakan aktivitas analisis yang sistematis, pemberian nilai, atribut, dan pengenalan permasalahan, serta mempersembahkan solusi atas masalah yang ditemukan guna meningkatkan akuntabilitas dan peningkatan kinerja instansi pemerintah. Untuk pemerintahan di Indonesia, penilaian atas akuntabilitas kinerja merupakan sebuah cerminan organisasi dalam merepresentasikan kinerjanya, sehingga tidak mengherankan jika setiap instansi pemerintah berupaya semaksimal mungkin untuk meningkatkan kinerjanya sesuai dengan kriteria yang ditetapkan oleh tim evaluator. Baru-baru ini, MENPAN RB merevisi evaluasi AKIP ke dalam Peraturan MENPAN RB Nomor 88 Tahun 2021 dengan banyak perubahan yang cukup fundamental. Hal ini berdampak pada perubahan strategi organisasi untuk mengembangkan evaluasi evaluasi guna dapat memprediksi nilai akuntabilitas kinerja dengan bantuan teknologi informasi berbasis ERP, seperti contoh kasus yang terjadi pada Kementerian Kelautan dan Perikanan. Penelitian ini merupakan studi kasus bertujuan untuk mengetahui bagaimana penerapan ERP pada pelaksanaan evaluasi AKIP yang dijalankan oleh Inspektorat Jenderal Kementerian Kelautan dan Perikanan mulai dari dukungan infrastruktur dan jaringan teknologi informasi yang digunakan, tahap perancangan dan pengembangan perangkat lunak, serta implementasinya dapat digunakan pada pelaksanaannya AKIP pada Tahun 2022. seperti contoh kasus yang terjadi pada Kementerian Kelautan dan Perikanan. Penelitian ini merupakan studi kasus bertujuan untuk mengetahui bagaimana penerapan ERP pada pelaksanaan evaluasi AKIP yang dijalankan oleh Inspektorat Jenderal Kementerian Kelautan dan Perikanan mulai dari dukungan infrastruktur dan jaringan teknologi informasi yang digunakan, tahap perancangan dan pengembangan perangkat lunak, serta implementasinya dapat digunakan pada pelaksanaannya AKIP pada Tahun 2022. seperti contoh kasus yang terjadi pada Kementerian Kelautan dan Perikanan. Penelitian ini merupakan studi kasus bertujuan untuk mengetahui bagaimana penerapan ERP pada pelaksanaan evaluasi AKIP yang dijalankan oleh Inspektorat Jenderal Kementerian Kelautan dan Perikanan mulai dari dukungan infrastruktur dan jaringan teknologi informasi yang digunakan, tahap perancangan dan pengembangan perangkat lunak, serta implementasinya dapat digunakan pada pelaksanaannya AKIP pada Tahun 2022.
Conv-Tire: Tire Condition Assessment using Convolutional Neural Networks Latifah Listyalina; Irawadi Buyung; Agus Qomaruddin Munir; Ikhwan Mustiadi; Dhimas Arief Dharmawan
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.v19i3.7697

Abstract

Purpose: In this study, the authors designed an algorithm based on convolutional neural networks that can automatically assess tire quality.Design/methodology/approach: The proposed algorithm is built through several stages as follows. In the first stage, the tire images, which are the input of the designed algorithm, are acquired. Further, the acquired images are divided into two sets, namely training and testing sets. The training set contains tire images used in the training phase of several convolutional neural networks (CNN) architectures such as ResNet-50, MobileNetV2, Inception V3, and DenseNet-121. The training phase is carried out in a number of epochs, and at each epoch, the cross entropy loss function will be calculated which expresses the performance of the CNN architecture in classifying tire images. For this reason, the training stage requires a label or reference that shows the feasibility of the tires displayed in each image.Findings/result: In the testing phase, trained CNN architectures are used to classify tire images from the test set. Classification performance in the test set is also expressed in terms of cross-entropy loss function value. In addition, the accuracy value has also been calculated which shows the percentage of the number of tire images that are successfully classified correctly to the total number of tire images in the test set, namely the DenseNet-121 model has the best accuracy of 92.62%.Originality/value/state of the art: Given the high accuracy achieved by our algorithm, this work can be used as a reference by other researchers, specifically to benchmark their tire quality classification methods developed in the future.

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