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Jurnal Informatika Dan Tekonologi Komputer
Published by Pusat Riset dan Inovasi Nasional
ISSN : 28099249     EISSN : 28099230     DOI : https://doi.org/10.55606/jitek.v5i1
Core Subject : Science, Education, Engineering,
Computer Science & IT Control & Systems Engineering Other
Jurnal Informatika dan Teknologi Komputer (JITEK), dan P-ISSN:2809-9249 (Cetak) dan E-ISSN:2809-9230 (Online). Jurnal JITEK diterbitkan Pusat Riset dan Inovasi Nasional, terbit setahun Tiga kali (Maret, Juli dan November) menerapkan proses peer-review dalam memilih artikel berkualitas berdasarkan penelitian ilmiah dan teoritis.Jurnal ini terakreditasi SINTA 4 (Surat Keputusan Direktur Jenderal Pendidikan Tinggi, Riset, dan Teknologi Nomor 10/C/C3/DT.05.00/2025 tanggal 21 Maret 2025 tentang Peringkat Akreditasi Jurnal Ilmiah Periode I Tahun 2025) dimulai dari Volume 2 Nomor 2 Tahun 2022 sampai Volume 7 Nomor 1 Tahun 2027. JITEK diterbitkan untuk mengembangkan dan memperkaya diskusi ilmiah bagi para sarjana dan penulis yang menaruh minat pada isu-isu Teknologi dan penerapannya. Redaksi menerima artikel berbasis teori dan penelitian. Cakupan keilmuan Jurnal ini mengenai penelitian Rekayasa Sistem, Teknik Informatika/Teknologi Informasi, Manajemen Informatika dan Sistem Informasi.
Arjuna Subject : Ilmu Komputer (semua kategori) - Ilmu Komputer (Lain-Lain)
Articles 141 Documents
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EXPLANATORY DATA ANALISIS UNTUK MENGEVALUASI PENELUSURAN KATA KUNCI VIDEO PEMBELAJARAN DI YOUTUBE DENGAN PENDEKATAN MACHINE LEARNING Mambang Mambang; Ahmad Hidayat; Finki Dona Marleny; Johan Wahyudi
Jurnal Informatika Dan Tekonologi Komputer (JITEK) Vol. 2 No. 2 (2022): Juli : Jurnal Informatika dan Teknologi Komputer
Publisher : Pusat Riset dan Inovasi Nasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/jitek.v2i2.287

Abstract

The purpose of this study was to find correlations related to the variable number of impressions, likes, subscribers, and comments on each learning video keyword search on YouTube. This research uses quantitative methods and experiments with secondary data sources. Exploratory Data Analysis in machine learning using several libraries in Python programming produces image visualizations that provide information related to the dataset that has been processed, such as boxplot graphs, histograms, line plots, and correlation graphs. Exploratory Data Analysis with machine learning that we have done finds results on boxplot graphs on five variables showing a whisker more elongated upwards which states positive data results. The difference in this histogram chart is in the duration variable. On the line plot graph, we find the keywords learning videos learning mathematics have the advantage of four variables and the keywords of accounting learning videos one variable. Exploratory Data Analysis using the correlation head map in the seaborn library shows that the like and comment variables strongly correlate with a value of 1. Duration variables have a low and negative correlation with other variables. The subscribers variable has a high correlation with the like variable 0.95. Thus, several indicators need to be considered in making learning videos, such as content or content of innovative and creative learning videos, so that the number of likes and comments becomes high. The length of time in learning videos does not affect the number of likes, subscribers, and comments.
PERANCANGAN WEBSITE MARKETPLACE BERBASIS PHP DENGAN FRAMEWORK CODEIGNITER Femmy Novica Ramadanis; Mohamad Daffa Adriansyah; Muhammad Fadhil Alamsyah; Rizkia Meinita; Tri Putra Satriawan; Ricky Firmansyah
Jurnal Informatika Dan Tekonologi Komputer (JITEK) Vol. 2 No. 2 (2022): Juli : Jurnal Informatika dan Teknologi Komputer
Publisher : Pusat Riset dan Inovasi Nasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/jitek.v2i2.289

Abstract

The development of marketplace-based online trading facilities has been widely circulated in Indonesia. However, there are no services to provide marketplace-based jobs. Even though this service is really needed by the community, especially with the increasing number of unemployed in Indonesia. These employment services are website-based so that people don't have to go to each company, just stay at home and attach several files as support to get a job. With this application, information on job vacancies in an area can be disseminated on this system. This freelance marketplace distribution system was built using the waterfall method with four stages of applicable methods, namely requirements analysis, system design, implementation, and system testing using the PHP and Condigniter 3 programming languages. , ordering, talent details, logout.. On the other hand, the advantages of looking for a job online are that apart from being flexible, it can also open up new and broad opportunities. And it can reach various aspects of society.
MACHINE LEARNING UNTUK PENDIDIKAN: MENGAPA DAN BAGAIMANA Apit Fathurohman
Jurnal Informatika Dan Tekonologi Komputer (JITEK) Vol. 1 No. 3 (2021): November : Jurnal Informatika dan Teknologi Komputer
Publisher : Pusat Riset dan Inovasi Nasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/jitek.v1i3.306

Abstract

Machine Learning is a subset of artificial intelligence (AI) that helps computers or teaching machines learn from all previous data and make intelligent decisions. Machine learning frameworks require capturing and maintaining a rich set of information and turning it into a structured knowledge base for different uses in various fields, one of which is in education. The purpose of this article is to answer the questions 1) Why is Machine Learning Important for Education? and 2) How is Machine Learning Utilized for Education? This article uses a qualitative method with data collection techniques with literature study. Based on the results of the literature study, machine learning in the field of education has many advantages and advantages, where teachers can save time in learning activities in the classroom. Machine Learning encourages depersonalized learning in the context of educational deployment. Machine Learning enables teachers to gain a better understanding of their students' progress in learning
PEMANFAATAN TEKNOLOGI ANDROID DALAM MEDIA PEMBELAJARAN PENULISAN HURUF PEGON DALAM MEMAKNAI KITAB DI PONDOK PESANTREN Iman Saufik Suasana; Mohamad Balya; Siswanto Siswanto
Jurnal Informatika Dan Tekonologi Komputer (JITEK) Vol. 2 No. 2 (2022): Juli : Jurnal Informatika dan Teknologi Komputer
Publisher : Pusat Riset dan Inovasi Nasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/jitek.v2i2.307

Abstract

Pegon is an Arabic alphabet modified to write Javanese, Madurese and Sundanese. Pegon itself is widely used among Muslims, especially for religious education facilities in Islamic boarding schools. At that time, the Javanese still used the Kawi script and Javanese script to write classical Javanese texts. To develop the motivation of students in mastering science, learning the Pegon alphabet can take advantage of Information Technology and Computer-based learning, especially Android-based smartphones that are practical and have a high level of mobility. The results of this study are learning media for writing pegon letters in interpreting books in android-based Islamic boarding schools
IMPLEMENTASI STRUKTUR DATA TREE PADA WEB BLOG SEBAGAI MEDIA PEMBELAJARAN Serly Agustin; Arifin Yusuf Permana; Hari Noer Fazri; M. Rahssyal Daffa H; Mohammad Robi; Ricky Firmansyah
Jurnal Informatika Dan Tekonologi Komputer (JITEK) Vol. 2 No. 2 (2022): Juli : Jurnal Informatika dan Teknologi Komputer
Publisher : Pusat Riset dan Inovasi Nasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/jitek.v2i2.316

Abstract

In writing this study aims to review the implementation of tree data structures on web blogs as learning media, starting from a discussion of the implementation of data structures. After that, it was continued with the use of blogs as an applied learning medium. The use of tree data structures is one of the most common data structures used in the development of a web. One of the efforts to streamline and provide a variation in the realm of learning media is to create a web blog, especially in the era of globalization, everyone who lives in that era should at least know about one of the results of technological and communication advances. This study will see how the description or description of the application of tree data structures on blogs as learning media. The making of this research uses a qualitative descriptive method in which the data is obtained from observation and documentation of matters relating to the topic under study. The core discussion of this research is the implementation of data structures on blogs as learning media.
EVALUASI SOFTWARE CAD UNTUK MAHASISWA TEKNIK SIPIL DAN ARSITEKTUR SEBAGAI PEMBUATAN GAMBAR KERJA Dody Irnawan; Silvia Yulita Ratih
Jurnal Informatika Dan Tekonologi Komputer (JITEK) Vol. 1 No. 2 (2021): Juli : Jurnal Informatika dan Teknologi Komputer
Publisher : Pusat Riset dan Inovasi Nasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/jitek.v1i2.376

Abstract

The development of science is increasingly rapid, one of which is digital technology as a drawing tool that continues to grow. Building Construction Structure is one of the courses in the Architecture Study Program, at the Faculty of Civil Engineering and Planning, University of Surakarta, the use of computer technology has indeed been applied to one of the courses, namely the Digital Architecture course which teaches about the basics of using the AutoCAD program. with its application to the manufacture of construction drawings, this study tries to make a comparison between AutoCAD and other software that is devoted to the field of architecture and civil engineering or specifically to the construction sector. The ArchiCAD software provides convenience in the form of tools that are already in the form of technical functions on structural elements and building architecture. Students really need to be introduced to ArchiCAD to support the creativity of ideas, designs and complete working drawings that are sustainable so that they are time efficient and support other courses.
IMPLEMENTASI ALGORITME NAIVE BAYES UNTUK MENENTUKAN KELAYAKAN CALON PENERIMA BEASISWA Hendri Noviyanto; Bayu Mukti
Jurnal Informatika Dan Tekonologi Komputer (JITEK) Vol. 1 No. 2 (2021): Juli : Jurnal Informatika dan Teknologi Komputer
Publisher : Pusat Riset dan Inovasi Nasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/jitek.v1i2.378

Abstract

Scholarships are a form of assistance given to students who have good academic abilities or to their parents who cannot afford to pay for their education. In its application, the selection process for prospective scholarship recipients is carried out manually by comparing the applicant files. This form of selection is very time-consuming and therefore ineffective and inefficient. Another obstacle is that the decision maker has difficulty in deciding who will get the scholarship, and there are many other obstacles faced. The purpose of this study is to assist decision-makers in the selection process for prospective scholarship recipients easily and quickly. The dataset in this study uses eight attributes with 100 instances. The classification method used is the Naïve Bayes Algorithm. The validation process uses the split test technique. This method is compared with other methods such as C4.5 and KNN. The results of this research process, the proposed method can predict prospective scholarship recipients correctly as evidenced by an accuracy value of 90%. However, other algorithms also get the same accuracy value in the 80:20 split test, the accuracy obtained is different when the 70:30 split test score with nave Baye is ranked first. Seeing the results obtained, the Naïve Bayes algorithm can be applied to a decision support system to determine prospective scholarship recipients properly.
PERANCANGAN SISTEM INFORMASI DATA SISWA DAN GURU PADA TK DARMA BAKTI DEPOK BERBASIS JAVA Gita Anggeli Septiana Lestari; Thomas Afrizal; Mahyudi Mahyudi
Jurnal Informatika Dan Tekonologi Komputer (JITEK) Vol. 2 No. 3 (2022): November : Jurnal Informatika dan Teknologi Komputer
Publisher : Pusat Riset dan Inovasi Nasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/jitek.v2i3.400

Abstract

Darma Bakti Kindergarten is one of the levels of early childhood education in the form of formal education that provides educational programs for children with an age range of 4-6 years. Data collection or data management, especially student and teacher data, are currently partly not computerized, namely still recording data in ledgers and some using computerization, namely using Microsoft Word and Microsoft Excel. However, it allows data in the ledger to be prone to loss and tearing, data input errors, repetition of data input (Data Double), loss of data, data searches that take a long time, ineffective data reporting because the reported data process must be typed one by one. first. The purpose of this research is to build a data information system for students and teachers using the Java programming language and MySQL database. At this writing the author uses qualitative methods, and the information system design method used is the waterfall method. With the design of this information system, the problem of data collection in TK Darma Bakti Depok can be resolved.
UJI KELAYAKAN MODUL PEMBELAJARAN ADOBE PHOTOSHOP CS6 SEBAGAI SUMBER BELAJAR UNTUK SMK KOMPETENSI KEAHLIAN MULTIMEDIA KELAS X Handika Asep Kurniawan
Jurnal Informatika Dan Tekonologi Komputer (JITEK) Vol. 1 No. 3 (2021): November : Jurnal Informatika dan Teknologi Komputer
Publisher : Pusat Riset dan Inovasi Nasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/jitek.v1i3.528

Abstract

This research aims to produce a learning modules of Adobe Photoshop CS6 and determine how feasible is the learning modules for vocational schools especially class X in multimedia competence. The research design used was based on the ADDIE development model which includes five steps, namely Analysis (Analysis), Design (Design), Development (Development), Implementation (Implementation), Evaluation (Evaluation). The type of data used was quantitative and qualitative. The data was collected by questionnaire. Techniques of data analysis in this research is descriptive quantitative. The results showed that: 1) The development steps of Adobe Photoshop CS6 module is conform with the ADDIE development model with five basic stages undertaken in the development of Adobe Photoshop CS6 learning modules are: (1) Analysis (Analysis), (2) Design (Design), (3) Development (Development), (4) Implementation (Implementation), (5) Evaluation (Evaluation). 2) Based on the material expert assessment, the feasibility of the learning module covering aspects completeness of the content, language, presentation, and graphic has been achieved with a percentage of 86.34% (very decent). Based on the media expert assessment, the feasibility of the learning module covering aspects completeness of the display module design, ease of use, consistency, format, usefulness, and graphic has been achieved with a percentage of 84.52% (very decent). Based on the module test which was conducted to 3 schools those are SMK Negeri 2 Yogyakarta, SMK Negeri 3 Yogyakarta and SMK Negeri 7 Yogyakarta involving 107 students, the average values ​​obtained with a percentage of 84.30% 147.52 (very decent).
OPTIMASI PERFORMA JARINGAN WIRELESS MENGGUNAKAN METODE (HTB) HIERARCHICAL TOKEN BUCKET PADA UNIVERSITAS MUHAMMADIYAH MALUKU UTARA Nova Kartika; Mustamin Hamid; Sahriar Hamzah
Jurnal Informatika Dan Tekonologi Komputer (JITEK) Vol. 2 No. 3 (2022): November : Jurnal Informatika dan Teknologi Komputer
Publisher : Pusat Riset dan Inovasi Nasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/jitek.v2i3.544

Abstract

In wireless networks, the problem of weakening the signal mentioned above requires more serious attention, because considering that the data transmission medium by this wireless network uses broadcast air. The purpose of this study is to optimize and analyze network performance on the Wireless network on the third floor of building A UMMU and at the same time to compare the two methods to get the QOS value. In this study using 3 clients, the amount of bandwidth used is 10 MBps which is divided into 5 MBps, 3 MBps, and 2MBps assuming the bandwidth will be divided between each client using the HTB (Hierarchical Token Bucket) method. While the Action Research method to be able to determine network performance using QoS parameters, namely Diagnosis (Diagnosing), Action Planning (action planning), Taking Action (Action Taking), Evaluation (Evaluating), Learning (learning). The results of this study are that the delay in bandwidth management using the HTB queuing method is smaller than using the Action Research method, the second throughput in bandwidth management using HTB is smaller than the Action Research method and the browsing speed is faster when implementing the HTB bandwidth management method. While the Action Research Method is only able to evaluate the browsing speed of some network users. Based on the results above, it can be seen that the network quality using the HTB queuing method is more optimal, this is because the bandwidth will be divided according to the rules applied.

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