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INDONESIA
Jurnal Komputer, Informasi dan Teknologi
Published by Indonesian Journal Publisher
ISSN : -     EISSN : 28072588     DOI : https://doi.org/10.53697/jkomitek.v6i1
Core Subject : Science, Education,
Computer Science & IT Education Languange, Linguistic, Communication & Media
Jurnal Komputer, Informasi dan Teknologi aims to provide a highly readable and valuable addition to the literature that will serve as an indispensable reference tool for years to come. The scope of the journal includes all new theoretical and experimental findings in the field of Computers, Information and Technology or any closely related field. The journal also encourages the submission of critical review articles covering advances in the latest research in the field of Computers, Information, and Technology.
Arjuna Subject : Ilmu Komputer (semua kategori) - Ilmu Komputer (Lain-Lain)
Articles 390 Documents
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Perancangan Sistem Manajemen Jaringan Menggunakan Mikrotik Pada Laboratorium Komputer Fakultas Teknik Universitas Muhammadiyah Bengkulu Hendri Jaya; Nuri David Maria Veronika; A.R Walad Mahfuzi; Rozali Toyib
Jurnal Komputer, Informasi dan Teknologi Vol. 4 No. 1 (2024): June
Publisher : Penerbit Jurnal Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53697/jkomitek.v4i1.1815

Abstract

Fakultas Teknik Universitas Muhammadiyah Bengkulu saat ini telah memiliki laboratorim komputer yang digunakan untuk menunjang kegiatan perkuliahan di Fakultas Teknik Universitas Muhammadiyah Bengkulu seperti pada mata kuliah Bahasa pemrograman dan mata kuliah lainnya yang menggunakan laboratoium komputer. Jaringan Local Area Network Fakultas Universitas Muhammadiyah Bengkulu sudah terhubung pada internet, dimana semua komputer yang ada pada Local Area Network  terhubung langsung ke modem melalui swith hub, sehingga ketika ada mahasiswa/i yang mendownload akan menganggu mahasiswa/i yang lainnya. Dari permasalah ini maka di bangun Local Area Network berbasis mikrotik pada Fakultas Teknik Universitas Muhammadiyah Bengkulu agar dapat melakukan manajamen jaringan seperti satu username hanya dapat digunakan pada satu perangkat, pembagian bandwith berdasarkan akun, transper data dalam jaringan dan pengaturan lainnya yang diperlukan untuk kelancaran jaringan komputer Fakultas Teknik Universitas Muhammadiyah Bengkulu. Dengan menerapakan sistem manajemen jaringan menggunakan metode simple queue pada jaringan komputer Fakultas Teknik Universitas Muhammadiyah Bengkulu menjadi lebih baik.
Penerapan Metode Profile Matching Dalam Penempatan Praktik Kerja Industri Bagi Siswa (Studi Kasus Di Smkn 1 Kota Bengkulu) Habib Gilang Pamungkas; Ujang juhardi; Marhalim Marhalim; Dedy Abdullah
Jurnal Komputer, Informasi dan Teknologi Vol. 4 No. 1 (2024): June
Publisher : Penerbit Jurnal Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53697/jkomitek.v4i1.1820

Abstract

Abstract: Industrial Work Practice (PRAKERIN) is a crucial component of vocational education in Indonesia, but students often struggle to find suitable placements that match their interests and skills. This study applies the Profile Matching method to help students at SMKN 1 Kota Bengkulu find appropriate PRAKERIN placements. The Profile Matching method links student profiles with company profiles. By using surveys and structured interviews with students and partnering companies, the research aims to design a system that facilitates PRAKERIN placement recommendations.The application of this method proves effective in placing Software Engineering students in suitable PRAKERIN locations. Over 65% of students successfully found PRAKERIN placements that aligned with their profiles. This system helps minimize errors in placement decisions, meeting company needs and enhancing students' PRAKERIN experiences profiles. This system can minimize errors in decision-making regarding the recommendation of Field Work Practice placements in the Software Engineering program at SMKN 1 Kota Bengkulu. Abstract: Penempatan Praktik Kerja Industri (PRAKERIN) adalah bagian penting dalam pendidikan vokasi di Indonesia, namun siswa sering kesulitan menemukan tempat yang sesuai dengan minat dan kemampuan mereka. Penelitian ini menerapkan metode Profile Matching untuk membantu siswa SMKN 1 Kota Bengkulu menemukan tempat PRAKERIN yang tepat. Metode ini menghubungkan profil siswa dengan profil perusahaan. Dengan pendekatan survei dan wawancara terstruktur kepada siswa serta perusahaan, penelitian ini bertujuan merancang sistem yang memudahkan rekomendasi penempatan PRAKERIN. Hasil penerapan metode ini menunjukkan efektivitasnya dalam menempatkan siswa jurusan Rekayasa Perangkat Lunak pada tempat PRAKERIN yang sesuai. Lebih dari 65% siswa berhasil menemukan tempat PRAKERIN yang cocok dengan profil mereka. Sistem ini membantu meminimalisir kesalahan dalam pengambilan keputusan penempatan, sehingga memenuhi kebutuhan perusahaan dan meningkatkan pengalaman PRAKERIN siswa.
Analysis and Classification Of Wireless LAN Network Service Quality Using The Naive Bayes Algorithm In The Department Of Informatics and Computer Engineering, Faculty Of Engineering, State University Of Makassar Siti Justianti Muhajriyah; Ruslan; Firdaus
Jurnal Komputer, Informasi dan Teknologi Vol. 4 No. 2 (2024): Desember
Publisher : Penerbit Jurnal Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53697/jkomitek.v4i2.1841

Abstract

This study aims to determine the Quality of Service outcomes and the classification results of the Naive Bayes Algorithm on the Wireless LAN network quality in the Department of Informatics Engineering and Computer Faculty of Engineering at Makassar State University. This study uses the Action Research method with a quantitative approach. It conducts 54 tests using Wireshark in two different sessions to be compared for each time conducted during the research. The results of the research indicate that the status of the Wireless LAN network in the Department of Informatics Engineering and Computer Faculty of Engineering at Makassar State University falls into the "Good" category with the highest value of 59.26% , with an algorithm accuracy of 65.43%. Both testing sessions, morning session from 08:30 to 09:00 and afternoon session from 13:30 to 14:00, are categorized as "Good" according to the TIPHON standardization category as well as based on the Naive Bayes Algorithm classification results. Based on the research findings, it is recommended that the measurement of network service quality can utilize software other than Wireshark and increase the amount of test data to improve the accuracy of the Naive Bayes algorithm.
Application Of The Level Of Community Satisfaction With Services At The Education Office Of The District Of North Bengkulu Using The Csi (Customer Satisfaction Index) Deddy Pertan Sagala; Jusuf Wahyudi; Jhoanne Fredricka
Jurnal Komputer, Informasi dan Teknologi Vol. 4 No. 2 (2024): Desember
Publisher : Penerbit Jurnal Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53697/jkomitek.v4i2.1846

Abstract

The North Bengkulu Regency Education Office is one of the government agencies in North Bengkulu Regency, Bengkulu Province. So far, the process of evaluating the serkvices of each employee at the Education Office of North Bengkulu Regency is still carried out internally without the views of the community. This certainly cannot be used fully in knowing the level of service satisfaction. The application of the level of public satisfaction with services at the North Bengkulu Regency Education Office using the CSI (Customer Satisfication Index) Method can assist the admin in managing the results of the service satisfaction assessment survey at the North Bengkulu Regency Education Office and provide information on the results of the public satisfaction assessment survey on the services provided. In addition, the application can also facilitate the community in providing an assessment of satisfaction with services at the North Bengkulu Regency Education Office.The application of the level of public satisfaction with services at the North Bengkulu Regency Education Office using the CSI (Customer Satisfication Index) Method is made with the PHP programming language and MySQL database. Based on system testing that has been carried out, it can be concluded that the application of the level of public satisfaction with services at the North Bengkulu Regency Education Office has run well and can be able to provide information in the form of the level of public satisfaction with services at the North Bengkulu Regency Education Office through the stages of the CSI (Customer Satisfication Index) Method.
rihi Mesh Placement Algorithm In Collocation Methods Edy Hermansyah; Annisa F. Edriani
Jurnal Komputer, Informasi dan Teknologi Vol. 4 No. 2 (2024): Desember
Publisher : Penerbit Jurnal Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53697/jkomitek.v4i2.1852

Abstract

Various adaptive mesh selection strategies for solving single higher order two-points boundary value problems (BVPs) by using collocation methods are intensively investigated for along time and they are now well established. In this work we concern with numerical investigations of adaptive mesh selection algorithms using the criterion function rihi for solving first order system of BVPs and developing some algorithms. The algorithms perform quite nicely and appear competitive with De Boor algorithm.
Analisis Minat dan Kreativitas Belajar Siswa dengan Menggunakan Aplikasi Google Classroom di SMKS Kesehatan Darussalam Lhokseumawe Eka Utaminingsih
Jurnal Komputer, Informasi dan Teknologi Vol. 4 No. 2 (2024): Desember
Publisher : Penerbit Jurnal Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53697/jkomitek.v4i2.1879

Abstract

The COVID-19 pandemic required schools to implement learning and training activities online. Google Classroom is one of the online learning platforms developed by Google and widely used during the pandemic. This research aimed to measure the level of creativity and interest of students in online ICT learning at SMKS Kesehatan Darussalam Lhokseumawe. A qualitative descriptive research design was employed, involving 28 students from SMKS Kesehatan Darussalam Lhokseumawe as participants. Research instruments included personal and online questionnaires consisting of 23 statements about interest and 15 questions about students' creativity in learning. The results showed that the majority of students had a high interest in online learning using Google Classroom, as reflected in the indicators of emotional happiness, attention, and interest, which achieved very good and good categories. Additionally, student engagement was also high. Analysis of pre-test and post-test creativity results also indicated an increase in students' creativity after following online learning. Therefore, online learning using Google Classroom has proven effective in increasing students' learning interest and creativity at SMKS Kesehatan Darussalam.
Deteksi Objek Video Bahasa Isyarat Untuk Anak Tuna Rungu dan Tuna Wicara Menggunakan YOLOv8 Muhammad Maheza Fresmanda; Istiadi; Syahroni Wahyu Iriananda
Jurnal Komputer, Informasi dan Teknologi Vol. 4 No. 2 (2024): Desember
Publisher : Penerbit Jurnal Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53697/jkomitek.v4i2.1895

Abstract

Penelitian ini bertujuan untuk mengimplementasikan keberhasilan model algoritma YOLOv8 dalam mendeteksi abjad bahasa isyarat Indonesia (BISINDO) berbasis video. BISINDO merupakan adaptasi American Sign Language (ASL) yang disesuaikan dengan budaya Indonesia agar lebih mudah digunakan. Itu bergantung pada gerakan dua tangan untuk komunikasi. Model YOLOv8 mampu mendeteksi dan mengklasifikasikan bahasa isyarat Indonesia dengan tingkat akurasi yang cukup baik, mencapai precision 93,35%, recall 70,25%, mAP50 64,05% dan mAP50-95 45,88%. Temuan ini diharapkan dapat memberikan kontribusi positif dalam pendidikan dan komunikasi untuk anak tunarungu dan tunawicara
Methodology of Strengthening Students’ Media Literacy Olimjon Isakov
Jurnal Komputer, Informasi dan Teknologi Vol. 4 No. 2 (2024): Desember
Publisher : Penerbit Jurnal Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53697/jkomitek.v4i2.1900

Abstract

In today’s digital age, media literacy has become an essential skill for students. The rise of social media, fake news, and information overload necessitates that students critically evaluate and understand media messages. Media literacy involves the ability to access, analyze, evaluate, create, and communicate using various forms of media. It is not merely about learning to use digital tools, but about understanding how media influences perceptions and behavior. The growing role of media in shaping political, social, and cultural realities makes it essential to adopt methodologies that strengthen students' media literacy skills. This article explores key methodologies that educators can implement to enhance media literacy in students.
Implementation of the Design Thinking Method in Optimizing the UI/UX of the Maxim Application Salsabilla Destari; Ica Admirani; Meiyi Darlies
Jurnal Komputer, Informasi dan Teknologi Vol. 4 No. 2 (2024): Desember
Publisher : Penerbit Jurnal Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53697/jkomitek.v4i2.1922

Abstract

The Maxim application faces low user satisfaction, particularly in terms of ease of navigation and feature access speed. The average user satisfaction with ease of navigation before the improvements was 53.44%, while satisfaction with feature access speed reached only 52.43%. This study aims to improve the quality of the user interface (UI) and user experience (UX) by applying the Design Thinking method. This method involves five stages empathize, define, ideate, prototype, and test, which are used to identify problems, design solutions, and test the results of the improvements. Data were collected through interviews, questionnaires, and user reviews on Playstore, which were then evaluated using A/B testing with 100 respondents. The results showed that after the improvements, user satisfaction with ease of navigation increased to 73.77%, while feature access speed increased to 73.00%. Therefore, the application of the Design Thinking method successfully enhanced both the ease of use and the speed of feature access in the Maxim application.
Identification of Cactus Species Using the MobileNet Convolutional Neural Network Model William Mulyadi; Chairisni Lubis
Jurnal Komputer, Informasi dan Teknologi Vol. 4 No. 2 (2024): Desember
Publisher : Penerbit Jurnal Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53697/jkomitek.v4i2.1933

Abstract

The objective of this design is to create a system capable of accurately and precisely classifying different types of succulent cacti. The system design aims to create a succulent cactus classification application using a Convolutional Neural Network (CNN) with the MobileNet architecture. The process involves collecting cactus images, dividing them into training and test datasets, and developing a CNN model to recognize patterns in succulent cactus species. The training data is used to train the CNN model, and the test data evaluates the model's accuracy. The trained model, stored in Tf.lite format, successfully classifies 15 cactus types, achieving high accuracy by employing preprocessing steps like resizing, normalization, and background removal. Over 1,200 cactus images were taken with a smartphone, categorized into 15 classes, and prepared to ensure optimal lighting, angle, background, and resolution (224x224 pixels). The MobileNet model was chosen for its high accuracy and efficiency. Hardware used includes a Samsung A54 smartphone and an Intel i7 laptop, with software such as Python, Kotlin, and Android Studio facilitating development. This design ensures the application’s accessibility, making it a valuable tool for cactus enthusiasts and the general public to easily identify different succulent cactus types. Testing of the cactus species classification program using the Convolutional Neural Network (CNN) method with the MobileNetV2 architecture yielded strong results, achieving over 90% accuracy in classifying 15 cactus species. The highest training accuracy of 0.9837 was achieved at 150 epochs without early stopping, outperforming other epoch configurations. The model successfully classified species across five main genera—Kalanchoe, Crassula, Echeveria, Haworthia, and Euphorbia. This high accuracy highlights the model's effectiveness, making it a useful tool for cactus enthusiasts and the public to accurately identify and distinguish cactus species.

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