cover
Article Per Year (5 Year)
All
Home Page
OAI Link
Editorial Team
Contact
Reviewer
Google Scholar
Contact Name
Mesran
Contact Email
mesran.skom.mkom@gmail.com
Phone
+6282161108110
Journal Mail Official
jurikom.stmikbd@gmail.com
Editorial Address
STMIK Budi Darma Jalan Sisingamangaraja No. 338 Simpang Limun Medan - Sumatera Utara
Location
Kota medan,
Sumatera utara
INDONESIA
JURIKOM (Jurnal Riset Komputer)
Published by Sekolah Tinggi Manajemen Informatika dan Komputer Budi Darma
ISSN : 2407389X     EISSN : 27157393     DOI : http://dx.doi.org/10.30865/jurikom.v7i1.1927
Core Subject : Science, Engineering,
Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering
JURIKOM (Jurnal Riset Komputer) membahas ilmu dibidang Informatika, Sistem Informasi, Manajemen Informatika, DSS, AI, ES, Jaringan, sebagai wadah dalam menuangkan hasil penelitian baik secara konseptual maupun teknis yang berkaitan dengan Teknologi Informatika dan Komputer. Topik utama yang diterbitkan mencakup: 1. Teknik Informatika 2. Sistem Informasi 3. Sistem Pendukung Keputusan 4. Sistem Pakar 5. Kecerdasan Buatan 6. Manajemen Informasi 7. Data Mining 8. Big Data 9. Jaringan Komputer 10. Dan lain-lain (topik lainnya yang berhubungan dengan Teknologi Informati dan komputer)
Arjuna Subject : Ilmu Komputer (semua kategori) - Ilmu Komputer (Lain-Lain)
Articles 36 Documents
 1   2   3   4 
Search results for , issue "Vol 8, No 6 (2021): Desember 2021" : 36 Documents clear
Prediksi Tingkat Risiko Kredit dengan Data Mining Menggunakan Algoritma Decision Tree C.45 Nurdiana Handayani; Herry Wahyono; Joko Trianto; Dwi Sidik Permana
JURIKOM (Jurnal Riset Komputer) Vol 8, No 6 (2021): Desember 2021
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/jurikom.v8i6.3643

Abstract

Finance companies in providing credit conduct data analysis first to reduce credit risk. When customers do not pay credit smoothly, it will harm the company. For this reason, credit analysis is an important factor to minimize financial risk. So, it takes a predictive analysis of the level of credit risk based on data or files from customers. This study aims to predict the level of credit risk with data mining using the C.45 decision tree algorithm. There are two classes of risk level predictions, namely current and non-current. The C.45 decision tree algorithm has a function to find knowledge or patterns of characteristic similarity in a particular group or class. In this study, the C.45 algorithm was implemented and analyzed using the WEKA application. From the results of the evaluation using the confusion matrix, the accuracy generated for 1,153 training data with 91 testing data and the six attributes used produces an accuracy of 79%
Model Klasifikasi Analisis Kepuasan Pengguna Perpustakaan Online Menggunakan K-Means dan Decission Tree Khamim Surya Hadi Kusuma Al Atros; Abdul Robi Padri; Odi Nurdiawan; Ahmad Faqih; Saeful Anwar
JURIKOM (Jurnal Riset Komputer) Vol 8, No 6 (2021): Desember 2021
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/jurikom.v8i6.3680

Abstract

Riyadlul Muta'allimin Elementary School Library is one of the support units in the school's academic activities. During times like these, students are very difficult in accessing the library in school. Therefore, the school applies an Online Library, so those students and teachers who can access the library do not need to flock to school. Online libraries that have been implemented need to do an evaluation of user satisfaction because this is a new thing for Riyadlul Muta'allimin Elementary School. Satisfaction analysis can be done by the K-Means method with a decision tree. K-Means is used to group data that will be converted into labels. It is further classified using a decision tree. Based on the analysis, the prediction of cluster 1 with true cluster 1 of 48 items, true cluster 0 and true cluster 0 there are no items, then the class precision is 100%
Analisa Kesenjangan Pembelajaran Daring Selama Pandemi: Studi Kasus Penerapan E-Study dan Microsoft Team Nanda Ravenska; Hafid Aditya Pradesa
JURIKOM (Jurnal Riset Komputer) Vol 8, No 6 (2021): Desember 2021
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/jurikom.v8i6.3764

Abstract

Tujuan penelitian ini adalah untuk menganalisis persepsi dari mahasiswa tentang pelaksanaan pembelajaran daring pada Politeknik STIA LAN Bandung, sebuah perguruan tinggi yang bertransformasi dari perguruan tinggi akademik menjadi perguruan tinggi vokasi sejak tahun 2020. Sebelum terjadinya pandemi global, institusi Politeknik STIA LAN Bandung telah berubah secara kelembagaan (d.a. Sekolah Tinggi Ilmu Administrasi – Lembaga Administrasi Negara atau STIA LAN Bandung). Di tengah – tengah tantangan perubahan kelembagaan yang dihadapi, institusi dihadapkan kepada peristiwa global yang berdampak kepada seluruh sendi kehidupan yaitu pandemi Covid-19. Pendidikan tetap harus berjalan, sehingga alternatif yang dapat dilakukan dengan menerapkan pembelajaran daring. Data yang dikumpulkan dalam survey ini dilakukan melalui penyebaran kuesioner kepada para mahasiswa. Instrumen evaluasi pembelajaran daring dikembangkan untuk survey ini yang terdiri dari 21 item pernyataan. Metode pengolahan data nilai dari pembelajaran daring dihitung dengan menggunakan “nilai rata-rata” dari seluruh item dalam instrumen survey pembelajaran daring. Kesimpulan dari hasil evaluasi indeks persepsi mahasiswa terhadap kualitas pembelajaran daring semester ganjil Tahun 2020 – 2021 adalah terdapat delapan indikator penilaian pembelajaran daring yang melebihi target atau standar minimal yang telah ditentukan. Secara keseluruhan nilai rata – rata dari pembelajaran daring di Politeknik STIA LAN Bandung adalah baik ditunjukkan dengan skor nilai 3,156 meskipun belum memenuhi standar dari nilai kepuasan yakni 3,2.
Analysis of Student Performance Based on LMS Activities with Learning Analytics Approach Dawam Dwi Jatmiko Suwawi; Hafizh Jihaad Husni; Kusuma Ayu Laksitowening
JURIKOM (Jurnal Riset Komputer) Vol 8, No 6 (2021): Desember 2021
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/jurikom.v8i6.3721

Abstract

Good performance for a student during a course is important because it can affect the student's final index. However, in general, student performance can only be seen at the end of the semester, so if a student has a poor performance before the course ends, they do not get enough opportunity to improve. Therefore, it is necessary to have an early analysis of students who have poor performance in a course. Since most student learning activities in this pandemic era are currently on the LMS, the LMS activity log can reflect student performance. The main objective of this study is to classify the LMS activity log in a course using a probabilistic classifier algorithm. This study chose Naïve Bayes to classify student performance into three categories – good, satisfactory, and poor. The dataset is separated into two scenarios – the half-semester and the full-semester - in the Modeling and Database Implementation course at Telkom University. The results show that the Naïve Bayes Algorithm successfully predicts student performance early and provides information about students experiencing changes in performance with the highest accuracy of 93%. The practical implication of this study is that teachers can use the LMS activity log for early prediction of student success in passing a course. The learning analytics developed in this study prove that Naïve Bayes has a fairly good performance for small dataset sizes based on recall and accuracy to classify student performance. However, as the study focuses solely on a specific course and small dataset sizes, it lacks generalizability. Therefore, it needs to be tested for other courses and larger dataset sizes.
Sistem Prediksi Kelayakan Rental Mobil Menggunakan Algoritma C4.5 Siti Aminah; Febriansyah Febriansyah
JURIKOM (Jurnal Riset Komputer) Vol 8, No 6 (2021): Desember 2021
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/jurikom.v8i6.3740

Abstract

The purpose of this study is to build a system that can predict the feasibility of prospective car rental service users. It is not easy for car rental service providers to determine which consumers can use car rental services, with procedures that are still manual and it is difficult to obtain user data information. To be able to predict the feasibility of car rental service users, it is necessary to use an information system that can predict whether users are eligible or not. This research uses the waterfall system development method. The waterfall method has several stages, including analysis, design, coding and testing. The results of the research obtained from the feasibility test of the feasibility prediction system for car rental service users using algorithmic 4.5 that the results of the alpha test were tested for the feasibility of the system with an overall value of 3.6 by system that has been made feasible to use
Perbandingan Keacakan Citra Enkripsi Algoritma AES dan Camelia Uji NPCR dan UACI Layli Nur Hidayati; Gita Fadila Fitriana; Ipam Fuadina Adam
JURIKOM (Jurnal Riset Komputer) Vol 8, No 6 (2021): Desember 2021
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/jurikom.v8i6.3624

Abstract

The need for data security arises because of the many threats made by outside parties to retrieve data and use it for personal interests. Security for medical images is carried out because medical images store patient health information data that is confidential. In this study, the image data used specifically uses radiological medical images. There are many techniques and algorithms that can be used to secure image data. This study uses the AES and Camellia algorithms which in their application use several different operating modes. To measure the quality of the encrypted image, the randomness level of the image was tested using the NPCR and UACI tests. Evaluation is used to determine the best algorithm and operating mode for encryption. Based on the measurement of image randomness on AES CBC, AES CFB, AES OFB, Camellia ECB, Camellia CBC, and Camellia OFB with NPCR values for encrypted images of 99.60%, 99.608%, 99.6093%, 99.6296%, 99.6072 %, and 99.6124%. Measurement of image randomness on AES CBC, AES CFB, AES OFB, Camellia ECB, Camellia CBC, and Camellia OFB with UACI values for encrypted images of 34.714%, 34.754%, 34.603%, 34.983%, 34.615%, and 34.707%.
Perancangan UI/UX Webinar Booking Terhadap Kepuasan Pengguna Menggunakan Metode Design Thinking Rachma Wukir Purwitasari; Purnama Dileon Yamora Nainggolan; Novi Rahmawati; Faisal Dharma Adhinata; Nur Ghaniaviyanto Ramadhan
JURIKOM (Jurnal Riset Komputer) Vol 8, No 6 (2021): Desember 2021
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/jurikom.v8i6.3700

Abstract

In order to meet user needs, designing an exemplary user interface requires in-depth knowledge of design principles and guidelines and an understanding of the multi-component design space. Multi-components are the image parts that can be used, their layout options, and visual effects options. This research was conducted to meet user needs. With the Design Thinking method, we can find out the user's needs and adjust to the user's interests. With the Webinar Booking application, it is hoped to be a solution for today's life
Peningkatan Keterlibatan Peserta Didik pada Pembelajaran Jarak Jauh dengan Menggunakan Fitur Lesson Quizizz Asri Maspupah; Sri Ratna Wulan
JURIKOM (Jurnal Riset Komputer) Vol 8, No 6 (2021): Desember 2021
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/jurikom.v8i6.3761

Abstract

The implementation of distance learning in Informatics Engineering has many problems, one of which is the lack of student engagement during learning. The purpose of this study is to improve student engagement by using a feature called Lesson in Quizizz. Lecture teaches on video teleconference and instructs students on Lesson in Quizizz to interact and give feedback about the lesson. The survey method is the research method used for this study. At the end of the semester, students are given a questionnaire regarding increasing interest in learning with conventional methods and the Lesson Quizizz added. The results showed that the student engagement using the Lesson Quizizz features increased by 4.5% compared to conventional learning. Indicators of student engagement have a high increase along with the improvement of student concentration. Thus, Quizizz can encourage students who usually are not active in class
Prediksi Pemilihan Jurusan Siswa Kelas 1 SMK Menggunakan Jaringan Syaraf Tiruan dengan Metode Backpropagation Mhd. Furqan; Yusuf Ramadhan Nasution; Rabiatul Adawiyah Hasibuan
JURIKOM (Jurnal Riset Komputer) Vol 8, No 6 (2021): Desember 2021
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/jurikom.v8i6.3695

Abstract

Student learning potential can be seen or meansured in various ways, one of them by concluding it’s success in learning. The value of subjects is one indicator that isused as a references to conclude studentlearning success academically. Artificial Neural Networks have the ability to learn and produce rules or operations from some input examples that are entered and make predictions. Backpropagation isone method that is often used in solving complex problems because the network with this method is trained using guided learning methods.
Sistem Inventarisasi Barang Dinas Pendidikan Nasional Kuningan Jawa Barat Neneng Nuryati; Carolina Magdalena Lasambouw; Djoni Djatnika; Lina Meilinda; Muhammad Rizqi Sholahuddin; Setiadi Rachmat; Maisevli Harika
JURIKOM (Jurnal Riset Komputer) Vol 8, No 6 (2021): Desember 2021
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/jurikom.v8i6.3746

Abstract

The national education department's inventory record is unique because the goods are in schools under service, not in the office. Inventory complexity has increased due to the procurement of different schedules and reports, not only for internal but also for other institutions concerned. A structured and accessible inventory from anywhere is the right choice for the effectiveness and efficiency of this work. This research aims to design a website-based information system for goods inventory in the National Education Office (DISDIKNAS). The software development method used in this study is the Rational Unified Process. The study results obtained a web-based application that can help DISDIKNAS inventory goods in a structured and accessible anywhere

Page 3 of 4 | Total Record : 36

 1   2   3   4 

Filter by Year

2021 2021


Reset
Filter By Issues
All Issue Vol. 12 No. 5 (2025): Oktober 2025 Vol. 12 No. 4 (2025): Agustus 2025 Vol 12, No 3 (2025): Juni 2025 Vol. 12 No. 3 (2025): Juni 2025 Vol 12, No 2 (2025): April 2025 Vol. 12 No. 2 (2025): April 2025 Vol. 12 No. 1 (2025): Februari 2025 Vol 12, No 1 (2025): Februari 2025 Vol 11, No 6 (2024): Desember 2024 Vol. 11 No. 6 (2024): Desember 2024 Vol 11, No 5 (2024): Oktober 2024 Vol. 11 No. 5 (2024): Oktober 2024 Vol 11, No 4 (2024): Augustus 2024 Vol. 11 No. 4 (2024): Augustus 2024 Vol 11, No 3 (2024): Juni 2024 Vol. 11 No. 3 (2024): Juni 2024 Vol. 11 No. 2 (2024): April 2024 Vol 11, No 2 (2024): April 2024 Vol 10, No 3 (2023): Juni 2023 Vol 10, No 2 (2023): April 2023 Vol 10, No 1 (2023): Februari 2023 Vol 9, No 6 (2022): Desember 2022 Vol 9, No 5 (2022): Oktober 2022 Vol 9, No 4 (2022): Agustus 2022 Vol 9, No 3 (2022): Juni 2022 Vol 9, No 2 (2022): April 2022 Vol 9, No 1 (2022): Februari 2022 Vol 8, No 6 (2021): Desember 2021 Vol 8, No 5 (2021): Oktober 2021 Vol 8, No 4 (2021): Agustus 2021 Vol 8, No 3 (2021): Juni 2021 Vol 8, No 2 (2021): April 2021 Vol 8, No 1 (2021): Februari 2021 Vol 7, No 6 (2020): Desember 2020 Vol. 7 No. 5 (2020): Oktober 2020 Vol 7, No 5 (2020): Oktober 2020 Vol 7, No 4 (2020): Agustus 2020 Vol 7, No 3 (2020): Juni 2020 Vol 7, No 2 (2020): April 2020 Vol 7, No 1 (2020): Februari 2020 Vol 6, No 6 (2019): Desember 2019 Vol 6, No 5 (2019): Oktober 2019 Vol 6, No 4 (2019): Agustus 2019 Vol 6, No 3 (2019): Juni 2019 Vol 6, No 2 (2019): April 2019 Vol 6, No 1 (2019): Februari 2019 Vol 5, No 6 (2018): Desember 2018 Vol 5, No 5 (2018): Oktober 2018 Vol 5, No 4 (2018): Agustus 2018 Vol 5, No 3 (2018): Juni 2018 Vol 5, No 2 (2018): April 2018 Vol 5, No 1 (2018): Februari 2018 Vol 4, No 5 (2017): Oktober 2017 Vol 4, No 4 (2017): Agustus 2017 Vol 3, No 6 (2016): Desember 2016 Vol 3, No 5 (2016): Oktober 2016 Vol 3, No 4 (2016): Agustus 2016 Vol 3, No 1 (2016): Februari 2016 Vol 2, No 6 (2015): Desember 2015 More Issue