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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
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Pengembangan Aplikasi Pengenalan Kuliner Dan E-Recipe Khas Kalimantan Tengah Berbasis Android Minarni Minarni; Nurani Aisiyah Tanjung; Nadia Sari; Nindi Ernawati
JURIKOM (Jurnal Riset Komputer) Vol 9, No 4 (2022): Agustus 2022
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/jurikom.v9i4.4713

Abstract

The culinary specialties of an area are part of local wisdom that must be preserved. Central Kalimantan with its cultural customs and local craftsmanship which is still very high has a variety of culinary delights with unique and interesting tastes and appearances. The problem that occurs is that the younger generation now knows more about European-style foreign cuisine and other foreign countries so that when asked about the local cuisine, not many people know about it. The culinary introduction along with its recipes aims to introduce as well as maintain and preserve these recipes so that they can still be passed on by the younger generation, especially the local people of Central Kalimantan. Along with the times, Android-based applications are in great demand among young people because of the various features that make it easy and enough to download the application on the Play Store. This application is named e-Recipe Cullinary KalTeng. The user interface of this application is designed using Figma and developed using the Flutter Platform with the Dart programming language. Features in this application include dishes and snacks typical of Central Kalimantan, each of which is also listed as a recipe. This application is tested using Black Box and the results show that the entire application can run well and is user friendly
Analisis Peramalan Obat Menggunakan Metode Simple Moving Average, Weighted Moving Average, Dan Exponential Smoothing Briyan Gifari Aji; Dwi Chandra Aditya Sondawa; Fairuz Aqila Anindika; Dwi Januarita
JURIKOM (Jurnal Riset Komputer) Vol 9, No 4 (2022): Agustus 2022
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/jurikom.v9i4.4454

Abstract

Forecasting is one of the essential measures in decision making, especially for estimating the number of needs. Some large companies often hire consultants to analyze and advise on forecast product demand. Especially in the health sector, forecasting is needed to meet customer drug demand. In the last two years, the Healthy Prayer Clinic experienced problems in planning the procurement of non-generic drugs due to the COVID-19 pandemic, where the number of drug requests was greater than the number of available drug stocks. This happened because the Healthy Prayer Clinic ordered non-generic drugs without planning. This study aims to determine the demand for non-generic medications in the next period and provide recommendations for the best forecasting method to meet customer needs. The methods used in this research are Simple Moving Average (SMA), Weighted Moving Average (WMA), and Exponential Smoothing (ES). Then test the accuracy of forecasting using Mean Square Error (MSE), Mean Absolute Deviation (MAD), and Mean Absolute Percentage Error (MAPE). The results of the overall forecasting calculation using the Simple Moving Average method of 19.774, then the Weighted Moving Average method of 19.573, and the Exponential Smoothing method of 20.851. The results of the calculation of the best demand forecasting using the Exponential Smoothing (ES) method for 3 months carried out from April 2021 to April 2022 obtained results of 20.851 with forecasting error accuracy using Mean Square Error (MSE), Mean Absolute Deviation (MAD) and Mean Absolute Percentage Error (MAPE) is 1.341.137, respectively; 883; and 0.90%. The best method with the smallest accuracy rate for forecasting errors is the Exponential Smoothing method with forecasting values for the next month, April 2022, amounting to 20.851
Implementasi Algoritma Freeman Chain Code dan Algoritma K-Nearest Neighbor Dalam Pengenalan Huruf Mandarin Ericson Ericson; Teady Matius Surya Mulyana
JURIKOM (Jurnal Riset Komputer) Vol 9, No 4 (2022): Agustus 2022
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/jurikom.v9i4.4532

Abstract

Mandarin is the second international language used by the world's population and is the language most studied by students in Indonesia. This research was conducted to determine the success rate of the Freeman Chain Code algorithm and the K-Nearest Neighbor algorithm in mandarin letter recognition. In recognizing Chinese characters, there are several stages that must be passed, namely pre-processing, feature extraction, and letter recognition. The pre-processing stage uses grayscale, Gaussian Blur, binaryization, and thinning. The feature extraction stage uses the Freeman Chain Code Algorithm and the Depth First Search (DFS) Algorithm. The classification stage uses the K-Nearest Neighbor Algorithm and the L1-Metric Algorithm (Manhattan Distance). In this study, there were 10 letter classes with each letter having 100 sample images. The distribution ratio of this research is 70% training data and 30% testing data. This research produces an application that is able to recognize Chinese characters. The success rate resulting from this study was 72% with 216 of the 300 images successfully recognized
Penerapan Kombinasi Metode ROC dan TOPSIS Pemilihan Karyawan Terbaik Untuk Rekomendasi Promosi Jabatan Irwan Irwan; Ida Mayanju Pandiangan; Mesran Mesran
JURIKOM (Jurnal Riset Komputer) Vol 9, No 4 (2022): Agustus 2022
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/jurikom.v9i4.4772

Abstract

Position promotion is a transfer or promotion of an employee in a structure within the organizational structure who has the ability to know skills and a responsible attitude in accordance with qualifications based on standards that exist in a company itself with specific functions. In the process of selecting the best employees, for recommendation for promotion, a measurable decision support system is needed. As in the POLDASU HR BUREAU, which does not yet have a decision support system, which so far has recommended promotions at the North Sumatra Regional Police, there are still obstacles in the criteria for evaluating promotions, so does not rule out the possibility that decision making is done subjectively by only looking at certain aspects and requires a long time in making decisions. In general, the recommendation for promotion is given by each work unit, good assessments from superiors and employee performance in carrying out their duties. For this reason, it is necessary to assess data processing employees who can help companies make decisions related to promotion recommendations. There needs to be supporting criteria for using a decision support system. In this study applied a combination of ROC and TOPSIS methods. The weighting of each criterion is carried out by applying the ROC method, then followed by a ranking process that will select the best alternative from a number of alternatives using the TOPSIS method. The results of the Research Recommendations for Promotion of Positions that are appropriate for promotion are alternative A1 with a preference value of 1,497 on behalf of "Hendrik"
Sistem Analisis Prediksi Penjualan Vitamin di Apotek Menggunakan Metode Trend Moment Rahmadona Nasrun Nasution
JURIKOM (Jurnal Riset Komputer) Vol 9, No 5 (2022): Oktober 2022
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/jurikom.v9i5.4715

Abstract

The coronavirus pandemic has also paralyzed the world economy, including Indonesia, in several sectors such as tourism and MSMEs. However, other sectors such as health and food remained stable and even experienced a surge in sales, especially sales of vitamin drugs at pharmacy outlets. One of them is Apotek Manjur Marendal, which experienced an increase in sales of medicines such as vitamins during the pandemic. To meet consumer demand and to process the right stock of vitamin drugs so that there is no loss, a prediction technique for vitamin drug sales is needed with data mining. With data mining techniques, Apotek Manjur Marendal can predict sales during the pandemic, so that profits and losses and stock of vitamin drug sales can be controlled. Data mining techniques require methods to make the calculations more complex. Several methods have been created by several inventors, one of which is the Trend Moment method. Based on the prediction results of vitamin drug sales using the Trend Moment method on sales data for 1 year during the 2021 pandemic period, it was obtained prediction results for the next 1 year in the 2022 period that sales of vitamin drugs such as Becom C, Enervon C, Ester C, Hevit C and Vitalong C stable with sales ±5000vitamin drugs sold in total, while the prediction accuracy reached the highest accuracy > 90% and the lowest accuracy 64%.
Penilaian Mutu Pendidikan Berdasarkan Ketersediaan Sarana Prasarana di Masa Pandemi Covid-19 Menggunakan Metode AHP Gilbert Yesaya Likumahua; Sri Yulianto Joko Prasetyo
JURIKOM (Jurnal Riset Komputer) Vol 9, No 5 (2022): Oktober 2022
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/jurikom.v9i5.4937

Abstract

This study aims to know the infrastructures used for the teaching-learning process and the effort made to improve education quality during the pandemic of Covid-19. The method used by the researcher was descriptive qualitative. The subjects of this study were four senior high schools in Salatiga. AHP method approach was used in conducting this study. Meanwhile, Questionnaires and interviews were used as instruments for data retrieval. The data collected will be analyzed using literature-based data triangulation techniques. The results showed that some criteria have a high impact on improving the quality of education based on infrastructure tools: bandwidth with 0,397 (39%), lcd with 0,245 (24%), computer lab with 0,242 (24%), the  number of computers 0,064 (6%), and the last was the access point with 0.053 (5%).
Modeling the Digital Al-Quran User Experience as Tahfidzul Quran Media using the Task-Centered System Design Adinda Rahma Khumairah; Mira Kania Sabariah; Veronikha Effendy
JURIKOM (Jurnal Riset Komputer) Vol 9, No 4 (2022): Agustus 2022
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/jurikom.v9i4.4649

Abstract

The development of technology in the world from time to time continues to progress so rapidly that various kinds of tools in the world are now converted into digital tools that facilitate the activities of human life. However, with the development of this technology, unfortunately, it has not had much impact in the realm of Tahfidz Al-Quran. Media Tahfidz Al-Quran, currently available in the community, is to follow a program that learns under the guidance of a teacher or study together in one place. Based on a survey conducted by interviews using several digital Al-Quran applications available in the android play store as a media for Tahfidz Al-Quran. The usability aspect that has not been fulfilled in using digital Al-Quran as a media for Tahfidzul Quran is efficiency and satisfaction. Therefore, to properly use Tahfidz al-Quran in digital form, it is required to have the appropriate UX modeling in line with the needs of Tahfidz Al-Quran. Because Task-Centered System Design (TCSD) method puts a strong emphasis on user demands and task requirements, this study intends to create a design using TCSD.Furthermore, to ensure that the model developed is within the circumstances and user characteristics, the product model outcomes will be assessed using the System Usability Scale (SUS). The findings of this study provide recommendations for the Tahfidz Al-Quran application's user interface design and have an improved usability score at 88.75, which is expected to be a benchmark for the Tahfidz Al-Quran application. Therefore, the TCSD method can also raise the SUS usability value in the application
Rancangan Aplikasi Edukasi Alat Kesehatan Dan Alat Kedokteran Berbasis Android Dengan Metode Computer Assisted Instruction (CAI) Romi Andrianto; Iwan Giri Waluyo; Savitri Savitri
JURIKOM (Jurnal Riset Komputer) Vol 9, No 4 (2022): Agustus 2022
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/jurikom.v9i4.4617

Abstract

Medical science is a science that explores the handling of diseases carried out by health workers. The importance of the role of health workers today is based on data from the Ministry of Health, Indonesia still lacks health workers and it is hoped that a new generation will come who have broad knowledge, are intelligent, competitive and useful for public health. Basically, many prospective students who will enter medical education do not yet have knowledge about the use of medical devices, so education on the use of medical and medical devices needs to be carried out to provide insight to prospective health workers in the future. In this study, the author designed an application to provide education about medical devices commonly used in hospitals, both in terms of functions and how to use them for prospective students who are interested in majoring in health and medical sciences. The method in designing this system uses the Computer Assisted Instruction method. In its use, users can learn about medical and medical equipment according to their class, namely hospital health care and treatment, anesthesia equipment, teeth, eyes, ENT, radiology, cardiology, surgery, and several others. The author uses an expert review instrument in testing the validity and testing one to one to determine the practicality of using the application. Based on the results of the Expert Review, this application is declared valid based on the average value of the assessment results of media experts, design experts and evaluation experts with an average score of 4.0 so that this application category is declared valid. Furthermore, the results of the product practicality test through one to one testing were assessed by 3 respondents with an average value of 3.9 with practical criteria.
Kinerja Algoritma Convolutional Neural Network dalam Klasifikasi Covid-19 Varian Omicron Berdasarkan Citra Ct-Scan Thoax Odi Nurdiawan; Ruli Herdiana; Irfan Ali; Melia Melia; Mia Fijriani
JURIKOM (Jurnal Riset Komputer) Vol 9, No 5 (2022): Oktober 2022
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/jurikom.v9i5.4884

Abstract

The second wave of the Covid-19 tsunami in India has broken the record for the highest number of additional cases and deaths in the world. Variant mutations are one of the contributing factors. Infection Crown variant Delta (B.1.617.2) is a mutation of the Covid-19 infection that has been endemic (SARS-CoV.2 B.1.617). The problem in this study is that the level of accuracy is still low in determining the covid-19 variant of the omicron resulting in uncertainty in decision makers by experts so that this research is needed to help with excellent accuracy measurements. The purpose of this study is to find a good model by applying the Convolutional Neural Network algorithm so that it can increase high accuracy and can be used in decision making by medical experts. The results of this study provide important information that the image size and the amount of input data greatly affect the level of accuracy in the Convolutional Neural Network method with the stages of data collection, preprocessing, Image Augmentation, Resize, Split Data, Convolutional Neural Network Architecture, Convolution, Pooling, Flattening, Full Connections, and Evaluations. Accuracy results with 400 input data produce training and testing (validation) on a chest x-ray image dataset using the Convolutional Neural Network architecture that has been created, 30 iterations (epochs) and 30 step_per_epochs showing an accuracy value of 0.88 or 88 % and the loss value is 0.3119 and the accuracy results with input data are 800 data, resulting in training and testing (validation) on the chest x-ray image dataset using the Convolutional Neural Network architecture that has been created, iterations (epochs) 30 times, and step_per_epoch as many as 30 shows an accuracy value of 0.93 or 93% and a loss value of 0.2711
Perancangan Web E-Commerce Dengan Menggunakan Pendekatan WISDM Indra Setiadi Ramadhan; M Izman Herdiansyah
JURIKOM (Jurnal Riset Komputer) Vol 9, No 5 (2022): Oktober 2022
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/jurikom.v9i5.4847

Abstract

Cahaya Konveksi Shop is an industry that manufactures apparel, such as t-shirts, polo shirts, shirts, training pants, jackets, and so on. On a normal day the Cahaya Konveksit Shop can produce 100-500 t-shirts in a day, while at the beginning of the semester or new student registration at school, Cahaya Konveksi Shop can produce 500-1000 t-shirts in a day because many schools make uniform t-shirts for students new. The problem found from this store is that there are many competitors who have just started the same business as the Cahaya Konveksi Shop, which has an impact on reducing the number of orders. With this situation, stores are required to make innovations in service to consumers. The application of web-based E-Commerce is one solution to this problem. In the system there is also the WISDM Method (Web Information System Development Methodology) which is a method in system development that aims to make a program quickly and gradually so that it can be immediately evaluated by the user. In addition, WISDM also makes the process of developing information systems faster and easier, especially when user needs are difficult to identify. With this website, Cahaya Konveksi Shop has superior value that its competitors do not yet have, by adding features that can make it easier for sellers and buyers to do business. The result of this research is to create a web-based e-commerce information system at the Cahaya Konveksi Store

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