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 1,069 Documents
 73   74   75   76   77 
Audit Sistem Informasi Aplikasi Absensi Pada Inl International Technology Menggunakan Framework Cobit 5 Muchlis Imam Santoso; Eva Zuraidah
JURIKOM (Jurnal Riset Komputer) Vol 10, No 1 (2023): Februari 2023
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/jurikom.v10i1.5402

Abstract

An information system audit is carried out to ensure that the system procedures in the institution function properly, using the Cobit 5 framework in auditing the attendance system at INL International Tehnology Pte. Ltd., because there is no standard operating attendance system, there are still deficiencies where in the application to use it in an orderly and correct manner, if we are late for absence there is no warning that we are late for absence from work. The results obtained are the sequence of domains with the highest value, namely the EDM01 domain maturity level value of 3.64 Fully Achieved achievement value, gets the Established Process level in IT capability, and a gap value of 0.64 from the target level 3. MEA01 maturity level value of 3.18 Fully Achieved achievement value, gets the Established Process level in IT capability, and the value gap of 0.18 from the target level 3. BAI08 maturity level value of 2.93 Fully Achieved achievement value, got the Managed Process level in IT capabilities, and a gap value of 0.07 from the target level 3. DSS02 maturity level value of 1.59 Fully achievement value Achieved, got the Performed Process level in IT capabilities, and the gap value is -1.41 from the target level 3. and APO11 mend get a maturity level value of 0.95, the Fully Achieved achievement score, get the Incomplete Process level in IT capabilities, and a gap value of -2.05 from target levels 3 and 2 and the highest score domain order questionnaire, namely domain EDM01, maturity level value 3.64, gap value 0, 64. MEA01 maturity level value is 3.18, gap value is 0.18. BAI08 has a maturity level of 2.93 with a gap value of 0.07. DSS02 maturity level value is 1.59, gap value is -1.41. and APO11 maturity level value of 0.95 gap value of -2.05
Perancangan Aplikasi Pembelajaran Qur’an Edu Berbasis Android Chairul Rizal; Supiyandi Supiyandi; Barany Fachri
JURIKOM (Jurnal Riset Komputer) Vol 10, No 1 (2023): Februari 2023
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/jurikom.v10i1.5621

Abstract

At present, mobile devices are developing so rapidly that they have various functions, as well as for multitasking and also have a system such as a computer, so they are also commonly referred to as Smart Devices. Smartphones circulating in the market generally the most in demand are android devices, from android devices are widely used for utilization, the use of smartphone functions, among others, is used for several purposes, so that its development is increasingly widespread, one of which is learning media. The method applied in the learning media is the Asy Syafi'i method where the method was developed at Ma'had Imam Asy Syafi'I and uses the waterfall method in research because this method is very easy to apply in several research cases. The results obtained in this study were to create an Android-based Al-Qur'an learning application in which there was learning about the introduction of hijaiyyah, tajwid, tahsin and murottal Qur'an letters
Comparison of Word2Vec with GloVe in Multi-Aspect Sentiment Analysis Classification of Nvidia RTX Products with Naïve Bayes Classifier Wira Abner Sigalingging; Sri Suryani Prasetyowati; Yuliant Sibaroni
JURIKOM (Jurnal Riset Komputer) Vol 10, No 1 (2023): Februari 2023
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/jurikom.v10i1.5528

Abstract

The increasing number of gamers has increased the demand for Graphics Processing Unit (GPU) products, one example of which is the Nvidia RTX product. Many users submit their reviews on social media Twitter in the form of tweets. These Tweets can be analyzed to determine the quality of a product. But most of the tweets talking about the product as a whole ignoring the category aspects of the product, making it difficult for both users and companies to pinpoint which aspects need attention. In this research, a multi-aspect based sentiment analysis will be carried out on tweets on Nvidia RTX products based on aspects of the product. The classification method used is Naive Bayes Classifier which will then compare feature extraction using Word2Vec and GloVe. Performance parameters are measured using a confusion matrix to produce values for accuracy, precision, recall, and f1-score. The highest accuracy results obtained were 60.71% on the price aspect, GloVe feature extraction, and classification with Gaussian Naive Bayes.Keywords: naive bayes classifier; Word2Vec; GloVe; confusion matrix; multi-aspect sentiment analysis
Performance of ANN and RNN in Predicting the Classification of Covid-19 Diseases based on Time Series Data Ridho Isral Essa; Sri Suryani Prasetyowati; Yuliant Sibaroni
JURIKOM (Jurnal Riset Komputer) Vol 10, No 1 (2023): Februari 2023
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/jurikom.v10i1.5557

Abstract

Indonesia is one of the countries with the highest confirmed cases of COVID-19. The city of Bandung is an area in Indonesia where the number of confirmed cases have continued to increase from 2021 to 2023. Currently there are around 103,574 cases with a total of deaths of around 1485 people. This is bad news for the city of Bandung because of the increasing number of confirmed cases. Various precautions against factors that might affect the rapid spread of COVID-19 in the city of Bandung have been carried out. But the confirmation cases still can't be stopped. Therefore, in this study we made a classification of the spread of COVID-19 in the city of Bandung with 25 features which will later be expanded using feature expansion techniques. This aims to analyze what factors have a major influence on the spread of COVID-19 in the city of Bandung. The method used are ANN and RNN methods. Where in this study the two methods were compared to determine which model had the best performance. Modeling is done by building models 2, 3, 4, and 5 months then the best model accuracy results from the ANN method are 79% and 81% for the RNN method. The author's contribution in this research is to build 2, 3, 4, and 5 month models, compare the performance results of ANN and RNN models, analyze the results of the confusion matrix, and make conclusions about what features are often used in each modeling.
Klasifikasi Kualitas Jagung Terhadap Data Percobaan Penanaman dengan Metode Decision Tree Tomy Nanda Putra; Darmansah Darmansah; M Yoka Fathoni
JURIKOM (Jurnal Riset Komputer) Vol 10, No 1 (2023): Februari 2023
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/jurikom.v10i1.5495

Abstract

Corn is one type of plant that is widely cultivated in Indonesia because it has a high enough price, especially the need for this plant. This plant is used as a substitute for carbohydrates and protein after rice, is also used as feed ingredients for livestock. This lack of corn production is caused by several factors such as the age of trees, fertilizers and pests. The impact that occurred was a decrease in corn production at a time when there were many needs of the company and the community would corn. The corn data processed in this study were sourced from the Department of Horticultural Food of Pasaman Regency and the owners of corn crops. Furthermore, the data is processed using the Rapid Miner software. Aimed to find out the prediction of the quality of the corn planting experiment. The method used in solving this problem is C4.5 Algorithm. From the testing of this method, it was found that two predictions in corn cultivation were ‘good and‘ not good. This analysis makes it easier for farmers to plant corn, especially in the selection of seeds to fertilize them so as to produce good fruit for consumption
Pemilahan Sampah Menggunakan Model Klasifikasi Support Vector Machine Gabungan dengan Convolutional Neural Network Miftahuddin Fahmi; Anton Yudhana; Sunardi Sunardi
JURIKOM (Jurnal Riset Komputer) Vol 10, No 1 (2023): Februari 2023
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/jurikom.v10i1.5468

Abstract

Waste sorting is a vital process in waste management. The problem with the waste sorting process is that humans feel uncomfortable with the smell of garbage for too long. The problem can be solved by creating a machine learning system to identify the waste type. The purpose of this research is to solve waste management problems using machine learning using the most accurate classification model. The types of wastein this research are limited to only two types: organic and inorganic. Data was collected and revised from the Kaggle dataset. Data were imported into the system using Python. Data was trained and used for classifying the waste based on the image source. Waste images will be determined in their category using the Support Vector Machine model with feature extraction using the Convolution layer. The system successfully performs waste classification using the Support Vector Machine model combined with the Convolutional Neural Network with an accuracy of 96,16% and a loss of 7,25% on the overall category
Evaluasi Usability dan Redesign Aplikasi PI-Mobile ITTP Menggunakan Pendekatan UCD (User Centered Design) Ahmad Fauzan Nabawi; Pradana Ananda Raharja
JURIKOM (Jurnal Riset Komputer) Vol 10, No 1 (2023): Februari 2023
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/jurikom.v10i1.5515

Abstract

The PI-Mobile ITTP application is an academic application to make it easier for new ITTP students or old ITTP students to find various kinds of information such as campus profiles, faculties, education administration, campus ethics, student information, campus facilities, and others. According to the results of the questionnaire distributed to ITTP students using the System Usability Scale (SUS), the usability value was 51.10 which was included in the interval >= 51 and <68 in the adjective rating poor category with grade D. So that improvements to the application design need to be made. The method in this study uses User Centered Design (UCD) because the UCD method involves the application users themselves so they can provide input regarding the usability or convenience of using the PI-Mobile ITTP application. The final result of this study is that after redesigning the appearance of the PI-Mobile ITTP application based on input from users obtained from 34 ITTP student respondents, the usability results tested with SUS obtained a usability value of 79.78 which was included in the interval >=74 and < 80.3 is in the adjective rating good category with grade B. Based on the results of the usability test with SUS and using the UCD method, an increase in usability of 28.68 was obtained, the initial value being 51.10 in the adjective rating poor and the grade D category to 79.78 in the adjective good rating and grade B category.
Pengembangan Game Belajar Huruf Hijaiyah Untuk Disleksia dengan Metode Waterfall Agus Purnomo
JURIKOM (Jurnal Riset Komputer) Vol 10, No 1 (2023): Februari 2023
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/jurikom.v10i1.5545

Abstract

Dyslexia is a learning disability that is mainly related to literacy and language skills. In this study focused on hijaiyah letters. The goal to be achieved is to produce a game application that can be used by teachers to support learning hijaiyah letters for dyslexia.The waterfall method is used in game application development. One type of dyslexia is Visuo-spatial difficulties characterized by difficulties in writing, reading, remembering and mathematics. Learning tried to be applied is visual stimulation that is done repeatedly. To train the memory of dyslexia, the type of puzzle game was chosen. An easy game is presented, children just need to draft and drop hijaiyah letters according to the questions given, questions are presented in voice instructions. Successfully developed game applications can be run on android devices. Every game activity is recorded by a web-based monitoring system. Learning progress is presented in the form of statistical graphs that can be accessed by teachers.
Klasifikasi Tingkat Keberhasilan Produksi Ayam Broiler di Riau Menggunakan Algoritma C4.5 Muhammad Rifaldo Al Magribi; Alwis Nazir; Siska Kurnia Gusti; Lestari Handayani; Iwan Iskandar
JURIKOM (Jurnal Riset Komputer) Vol 10, No 1 (2023): Februari 2023
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/jurikom.v10i1.5496

Abstract

Broiler chicken farming is one sector that contributes to playing an important role in causing an increase in the quality of life of the community, especially in fulfilling animal protein. Broiler chicken is a superior breed that has high meat productivity and a short reproductive cycle, thus encouraging the formation of partnerships between breeders and large companies. As the core, the company evaluates the success of breeders as seen from the performance index or IP value. The attributes that affect the IP value are depletion, average harvest weight, feed conversion ratio (FCR), and harvest age. The purpose of this research is to find out the attributes that most influence the success rate of broiler production in Riau and to get the accuracy value of the decision tree model using the C4.5 algorithm. This study used 952 livestock production data in Riau divided by a ratio of 80% training data and 20% test data. This test produces a decision tree in which the FCR attribute is the root node with a gain value of 0.45 and is the attribute that most influences the success rate of broiler chicken production in Riau. Evaluation using the confusion matrix produces an accuracy value of 97.11%, a precision of 98.89%, a recall of 98.16%.
Analisis Deteksi Marker Kemunculan Objek 3D Pada Augmented Reality Menggunakan Metode MBT Nuri Cahyono; Arif Rahmat Hidayatullah
JURIKOM (Jurnal Riset Komputer) Vol 10, No 1 (2023): Februari 2023
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/jurikom.v10i1.5641

Abstract

AbstractTechnological developments are getting advanced all the time, one of which is Augmented Reality, nowadays there are many uses of the Marker Based Tracking method used in Augmented Reality for various fields. Although many use Augmented Reality, there are still many who do not know the limitations contained in the Marker Based Tracking method, namely the minimum and maximum required levels of light intensity, distance, and angle in marker detection. This study aims to determine the effect and seek the level of minimum and maximum requirement of light intensity, distance and angle of the Marker Based Tracking method in marker detection. In this study the data collection process will use the testing method, the testing process will be carried out based on predetermined test parameters, such as light intensity, distance, and angle with several different variable indicators that have been determined, namely the variable light indicator using no light source, yellow light, white light source and sun light source then variable distance and angle indicators using 5cm, 10cm, 20cm, 30cm, 40cm, 50cm, 60cm, 70cm, 80cm, 90cm and 15°, 30°, 45°, 60° , 75°, 90°. The test results of the Marker Based Tracking method show that the marker detection distance is a minimum of 10 centimeters and a maximum of 80 centimeters, as well as a minimum marker detection angle of 45 degrees and a maximum of 90 degrees. For all light sources, Augmented Reality applications can detect markers and display 3D objects based on light intensity; however, without light, they cannot detect the marker. Testing without light intensity obtains a detection accuracy rate of 0%, for testing on yellow light sources obtains a detection accuracy rate of 48%, for testing on white light sources obtains a detection accuracy rate of 51%, for testing on solar light sources obtains a detection accuracy rate of 51%. detection accuracy of 53%.

Page 75 of 107 | Total Record : 1069

 73   74   75   76   77 

Filter by Year

2015 2026


Reset
Filter By Issues
All Issue Vol. 13 No. 1 (2026): Februari 2026 Vol. 12 No. 6 (2025): Desember 2025 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