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Jurnal Telematika
Published by Institut Teknologi Harapan Bangsa
ISSN : 18582516     EISSN : 25793772     DOI : https://doi.org/10.61769/telematika
Core Subject : Science, Engineering,
Computer Science & IT Electrical & Electronics Engineering
Jurnal Telematika is a scientific periodical written in Indonesian language published by Institut Teknologi Harapan Bangsa twice per year. Jurnal Telematika publishes scientific papers from researchers, academics, activist, and practicioners, which are results from scientific study and research in the field of telematics and information technology.
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Articles 7 Documents
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Search results for , issue "Vol. 17 No. 1 (2022)" : 7 Documents clear
Analisis Penerapan Website e-Government Pemerintah Kabupaten Tangerang Menggunakan GTMetrix Darmawan, Umar; Destriana, Rachmat; Tisno, Wahyu
Jurnal Telematika Vol. 17 No. 1 (2022)
Publisher : Yayasan Petra Harapan Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61769/telematika.v17i1.486

Abstract

Teknologi internet saat ini telah berkembang sangat pesat, terutama dalam sektor pemerintahan atau biasa disebut dengan e-government. Pelayanan e-government dapat diakses dengan mudah melalui website pemerintahan yang dikelola oleh penanggung jawab masing-masing. Salah satu penerapannya adalah di Pemerintah Kabupaten Tangerang, Jawa Barat. Riset ini bertujuan untuk mengevaluasi kinerja terhadap 9 website Pemerintah Kabupaten Tangerang. Evaluasi terhadap kinerja situs akan dicapai dengan menggunakan alat bantu GTMetrix. Hasil penelitian dari pengembangan e-government di Kabupaten Tangerang dalam penerapan website yang dikelola oleh Pemerintah Kabupaten Tangerang secara keseluruhan dinilai sangat buruk. Beberapa website yang dianalisis adalah website profil Pemerintah Kabupaten Tangerang mendapat penilaian Grade D, performa 66%, dan struktur 59%; website KPU kabupaten Tangerang mendapat nilai Grade E, performa 56%, dan struktur 60%; website Sipinter mendapat nilai Grade D, performa 62%, dan struktur 79%; website iTangKab mendapat nilai Grade C, performa 70%, dan struktur 79%; website Kejari mendapat nilai Grade D, performa 55%, dan struktur 83%; website RSUD mendapat nilai Grade E, performa 53%, dan struktur 63%; website Covid-19 mendapat nilai Grade F, performa 12%, dan struktur 46%; website Statistik mendapat nilai Grade F, performa 34%, dan struktur 32%; website Siapkerja mendapat nilai Grade F, performa 23%, dan struktur 50%. Hasil tersebut masih jauh dari rata-rata. Oleh karena itu, untuk meningkatkan situs perlu dilakukan perbaikan terhadap website yang dinilai sangat buruk. Salah satu rekomendasi dalam perbaikan website adalah Eliminate Render Blocking Resources. Masalah terjadi pada sebagian besar website yang dioperasikan oleh Pemerintah Kabupaten Tangerang.
Analisis Usability Menggunakan Metode System Usability Scale (Studi Kasus: Aplikasi PeduliLindungi versi 4) Husaen, Zaka Fadhullah; Widodo, Suryarini
Jurnal Telematika Vol. 17 No. 1 (2022)
Publisher : Yayasan Petra Harapan Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61769/telematika.v17i1.445

Abstract

The usability level of the PeduliLindung application version 4 used by the Indonesian people during the Covid-19 pandemic until now needs to be measured. One of the Usability measurement tools is the System Usability Scale method. This study aims to measure the Usability level of the PeduliLindung application version 4 in the hands of users. The results of the Usability measurement are expected to be an evaluation material for improving applications in future updates. A total of 50 users of the PeduliLindung version 4 application participated as respondents. The results of the study can describe the Usability level of the PeduliLindung application version 4 from the user's point of view. The average score of the System Usability Scale obtained is 70.8. The average score illustrates that the PeduliLindung version 4 application has a Usability level that is acceptable to the community, but there is no more interest than just using it for yourself.
Perancangan User Interface Aplikasi Web E-Learning untuk Kader Kesehatan dengan Metode User-Centered Design (UCD) Ulinuha, Zulfa; Suakanto, Sinung; Alam, Ekky Novriza
Jurnal Telematika Vol. 17 No. 1 (2022)
Publisher : Yayasan Petra Harapan Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61769/telematika.v17i1.462

Abstract

E-learning merupakan sebuah teknologi informasi yang digunakan untuk membantu pembelajaran secara digital dan online. Teknologi informasi telah mendorong perkembangan e-learning ke dalam tingkat yang lebih baik. E-learning telah memainkan peran penting dalam berbagai bidang tak terkecuali bagi kader kesehatan. Pada saat pandemi dan pasca pandemi COVID-19, peran kader Kesehatan semakin dibutuhkan. Akan tetapi pelatihan atau pembekalan kepada para kader tentunya tidak lagi semudah seperti pada saat sebelum pandemi COVID-19. Oleh karena itu, e-learning juga diperlukan untuk pelatihan dan pembekalan bagi para kader Kesehatan. Dalam rangka mengembangkan aplikasi web e-learning yang dapat digunakan dengan mudah, sesuai kebutuhan, dan efektif untuk pengguna, maka perlu dikembangkan rancangan sistem dan user interface yang tepat. Penelitian ini menggunakan metode User-Centered Design karena menempatkan pengguna dalam setiap tahap dan ada pengulangan untuk memperbaiki sistem.  Penelitian telah berhasil mengembangkan user interface yang sesuai. Hal ini dapat dilihat dari nilai System Usability Scale (SUS) yang berada di level diterima (acceptability acceptable) dengan skor 81. Dapat ditarik kesimpulan bahwa rancangan user interface aplikasi web e-learning telah memenuhi kebutuhan pengguna, dan memberikan umpan balik bahwa dapat digunakan oleh pengguna. Ketika rancangan user interface sudah sesuai, maka dapat dilanjutkan untuk mengembangkan system atau aplikasi e-learning sesuai design yang sudah dibuat.
Hyperparameter Tuning Feature Selection with Genetic Algorithm and Gaussian Naïve Bayes for Diabetes Disease Prediction Ashari, Ilham Firman; Untoro, Meida Cahyo
Jurnal Telematika Vol. 17 No. 1 (2022)
Publisher : Yayasan Petra Harapan Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61769/telematika.v17i1.488

Abstract

Diabetes Mellitus is a disease that occurs due to disorders of carbohydrate, fat and protein metabolism associated with a lack of performance of insulin secretion. Diabetes is a degenerative disease that requires appropriate and serious treatment efforts. The effects lead to various complications of other serious diseases such as heart disease and stroke. Erectile dysfunction, kidney failure, nervous system damage, etc. Because there are so many impacts caused by diabetes, it is important to study this disease. The benefit of this study is to prevent the occurrence of severe complications and can help medical personnel in predicting this disease early and reduce the cost burden that arises due to this problem.  The purpose of this study is to determine the level of accuracy resulting from the use of feature selection with genetic algorithms and nave Bayes. In this study, predictions will be made using hyperparameter tuning with genetic algorithms and Naive Bayes optimization by performing feature selection. After conducting related research, it was found that the accuracy of 17 features using a genetic algorithm was better than modeling with 10 features. By using 17 features and hyperparameter tuning with genetic algorithm and naive Bayes modeling, the accuracy is 93.2%. By using 17 features without feature selection, the accuracy is 91.2%, there is an increase in accuracy of 1.5%.
Analisis Tingkat Kematangan Teknologi Informasi Menggunakan Framework Cobit 4.1 (Studi Kasus: Kampus XYZ) Sirait, Tamsir Hasudungan; Fiarni, Cut; Meisinta, Dora
Jurnal Telematika Vol. 17 No. 1 (2022)
Publisher : Yayasan Petra Harapan Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61769/telematika.v17i1.428

Abstract

Kampus XYZ merupakan salah satu lembaga pendidikan yang dirancang untuk memberikan pelayanan pendidikan yang berkualitas kepada masyarakat. Untuk memastikan layanan tersebut dilakukan dengan benar, kampus XYZ menggunakan teknologi informasi, dalam hal ini Sistem Informasi Akademik (SIA). SIA diharapkan dapat memberikan kemudahan, kecepatan, dan kenyamanan dalam melaksanakan pelayanan akademik. Untuk memastikan berfungsinya layanan pendidikan, kampus XYZ harus melakukan kontrol yang efektif dan memadai untuk mengatasi risiko yang akan muncul dalam teknologi informasi. Pada penelitian ini akan dilakukan penilaian, atau asesmen, serta pembuatan instrumen penilaian terhadap efektivitas pengendalian Sistem Informasi Akademik. Penilaian dilakukan menggunakan framework yang telah terbukti best practice, yaitu Control Objective for Information and Related Technology versi 4.1. Hasil pemetaan yang dilakukan menemukan tujuh area proses pada Cobit 4.1, yaitu PO1 (menentukan rencana strategis teknologi informasi), PO9 (menilai dan mengelola risiko TI), AI6 (mengelola perubahan), DS4 (menjamin layanan berkelanjutan), DS11 (mengelola data), DS12 (mengelola fasilitas), dan ME1 (memantau dan mengevaluasi kinerja TI). Selain itu, terdapat proses teknologi informasi yang memiliki tingkat kematangan paling tinggi, seperti DS4 (menjamin layanan berkelanjutan) dan proses teknolgi informasi yang memiliki tingkat kematangan paling rendah, seperti DS12 (fasilitas pengelola). Hasil dari rekomendasi yang diberikan adalah melengkapi prosedur, menguji prosedur dan staf, serta melakukan sosialisasi dan peningkatan kesadaran dalam menjalankan prosedur yang telah ditetapkan.
Perancangan Sistem Terintegrasi Multichannel Ecommerce Berbasis Website Pada PT XYZ Yesa, Benedectus; Maharani, Herastia; Yonata, Yosi
Jurnal Telematika Vol. 17 No. 1 (2022)
Publisher : Yayasan Petra Harapan Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61769/telematika.v17i1.485

Abstract

PT XYZ is a shoe distributor company in the city of Bandung that gets 700 shoe orders per day from 7 online stores that are active in several marketplaces. In the sales process, PT XYZ has problems when providing stock information to customers. Every time a sales transaction occurs, the stock information displayed in each marketplace channel must be updated one by one. This will take a lot of time and will pose a risk of inconsistency of stock information. To overcome this, a web-based multichannel e-commerce integrated system is designed that can process product data on each channel in the marketplace and integrate stock information. Based on the User Acceptance Test (UAT) with the UTAUT method, the proposed system gets an average score for the Performance Expectancy aspect of 94.3%, the Effort Expectancy aspect of 98.6%, and the Behavioral Intention aspect of 88.6%. The results of this test indicate that the integrated system can provide convenience for users in carrying out their duties, provide comfort in using the system, and make users want to use the system that has been designed.
Analisis Sentimen Opini Publik Terhadap Pariwisara di Masa Pandemi COVID-19 Menggunakan Metode Naïve Bayes Arsa, Daniel; Weni, Indra; Fahreza, Agil
Jurnal Telematika Vol. 17 No. 1 (2022)
Publisher : Yayasan Petra Harapan Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61769/telematika.v17i1.450

Abstract

The tourism industry is a sector that has the potential to be developed as a source of state income. The tourism sector is the second largest source of state revenue after taxes. The arrival of tourists in an area has an impact on local resident who have provided prosperity and prosperity in the vicinity. The Covid-19 pandemic that has occurred in the world has had a very broad impact, including on the tourism sector and the creative economy. The decline in foreign tourist arrivals resulted in huge losses. This creates a public response to government policies. The community's response to tourism can be seen in social media. One of the most popular social media is Twitter. Obtained as many as 3000 tweet data that will be classified using the Naïve Bayes algorithm. Naive Bayes is a text mining technique to build a simple classifier model but has high accuracy in classifying. With the use of the Naive Bayes algorithm in this study, the results obtained are 62% accuracy values with an average value of 62% precision, 62% recall value, and 62% F1-score value.

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