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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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Aplikasi IoT Pada Sistem Monitoring Cairan Infus Berbasis Raspberry PI Marfin Marfin
JURIKOM (Jurnal Riset Komputer) Vol 9, No 1 (2022): Februari 2022
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/jurikom.v9i1.3840

Abstract

In the medical world, the role of intravenous fluids is very important because it can support the patient's treatment process. However, at this time, the comparison of medical personnel with the number of patients often finds that the installed infusion fluids are not properly monitored by the officers, thus affecting the healing process and satisfaction of patients and their families. On the other hand, rapid technological advances can be used for all fields including medical, therefore the researchers made a smart device that utilizes a photodiode [1] as a sensor to detect intravenous fluids and can provide information to medical staff in real time via smartphone devices. [2]. This device utilizes the Raspberry PI board as a data processor and executor of the data received from the sensor. Raspberry PI itself is a smart device that can process data to data execution because it is equipped with a GPIO pin that can be connected to other external devices [3]. With the design of this device, officers get information on the installed infusion fluids starting from the drip, the discharge to the drip rate. In addition, if the infusion fluid is about to run out, the officer's smartphone will give a notification in the form of vibration and ringing so that the officer can act quickly and precisely
Analisis Jaringan Saraf Tiruan dengan Backpropagation pada korelasi Matakuliah Pratikum Terhadap Tugas Akhir Hanifah Urbach Sari; Agus Perdana Windarto; Irfan Sudahri Damanik
JURIKOM (Jurnal Riset Komputer) Vol 9, No 1 (2022): Februari 2022
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/jurikom.v9i1.3835

Abstract

Backpropagation is one of the methods contained in a neural network that is able to train dynamic networks using mathematical knowledge based on architectural models that have been developed in detail and systematically. Backpropagation itself is able to accommodate a lot of information that serves as a useful experience. The purpose of this research is to make it easier for AMIK Tunas Bangsa Pematangsiantar students to determine the topic of their final project with practical value so that they can do their final project quickly. So the authors conducted research using correlation in determining the topic of the final project. The data in this study were obtained directly from the AMIK Tunas Bangsa Education academics in Pematangsiantar City. The data used uses data on practical grades of AMIK Tunas Bangsa Stambuk students 2017 from semester 4 to semester 6. There are 5 network architecture models used in this study, namely 5-1-2, 5-6-2, 5-8 -2, 5-10-2, and 5-12-2. From the results of trials conducted with MATLAB software, the best architecture is the 5-1-2 model with an accuracy of 47%. Based on this background, it is hoped that the research results can help students in determining the topic of the final project
Simulasi Reinforcement Learning untuk Kecerdasan Buatan pada Exergame Penurun Berat Badan Sofy Fitriani; Siti Dwi Setiarini; Eddy Bambang Soewono
JURIKOM (Jurnal Riset Komputer) Vol 9, No 1 (2022): Februari 2022
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/jurikom.v9i1.3875

Abstract

The pandemic of Coronavirus Disease 2019 (Covid-19) is still sweeping the globe. This is alarming, and it has a negative impact on physical activity outside the home. Weight gain is one of the issues that has arisen. Artificial intelligence simulation research is proposed for physical activity to help lose weight for it to be something fun with all its limitations. This simulation is going to be included in the game. This study focused on the physical activity carried out based on the results of artificial intelligence calculations to lose weight before being applied to the game. The approach is quantitative. To begin, conduct a literature review to determine the topic, machine learning methods, and calorie calculations for weight loss. Additionally, using reinforcement learning, a model for calculating the need is created for a caloric deficit. The waterfall method is used to model the calculation, which is then simulated in the system. The final stage is model validation, which involves utilizing the functionality correctness in accordance with system requirements. It produces 100 percent correct output based on the list of requirements, according to the tests that have been conducted.
Penerapan Framework for the Application of System Technique pada Penjualan Stationery Berbasis Website Rima Tamara Aldisa
JURIKOM (Jurnal Riset Komputer) Vol 9, No 1 (2022): Februari 2022
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/jurikom.v9i1.3831

Abstract

Stationery is an office stationery such as pencils, pens, books, paper, rulers, envelopes and many more in stock. Stationery shop sells various kinds of stationery. At this time, the way to market goods is still through opening a rented shop, using brochures and shop front banners. The occurrence of the problem is that the stationery shop owner has difficulty and has not been able to control the number of goods, sales data, both income and expenses. Designing a stationary sales system and developing it using the FAST (Framework for the Application of System Technique) method. The purpose of the research is that Aldi Stationery can have a website that is easy for buyers to use, attractive, can make it easier for shop owners to market goods, provide discounts and can also make it easier to manage and report sales transactions
Pendukung Keputusan dalam Penilaian Pegawai Pemerintah Non Pegawai Negeri menggunakan Metode Entropy Cintantya Andhita Dara Kirana; Anggi Syahadat Harahap
JURIKOM (Jurnal Riset Komputer) Vol 9, No 1 (2022): Februari 2022
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/jurikom.v9i1.3846

Abstract

Polytechnic of STIA LAN Bandung is one of the units under the LAN RI which has a core business in the field of education that has an obligation to run the Tri Dharma of Higher Education. In running the Tri Dharma of Higher Education, Polytechnic of STIA LAN Bandung requires several supporting resources. One of the supporting resources that most determine the quality of the implementation of the Tri Dharma of Higher Education is the competence of human resources. To facilitate the decision-making process carried out by the Staffing sub-section in assessing Non-Civil Servant Government Employees (PPNPN), a form of Decision Support System is needed. In conducting employee assessments used a method, namely Entropy. Entropy method that serves to measure the weight (level of importance) on each assessment indicator. Assessment indicators, which are used include Basic Values, Performance, Insight Tests, Warning Letters, and Attendance. The dataset used is secondary data that has been obtained from the staffing sub-section of Polytechnic of STIA LAN Bandung. The data sample consisted of five non-civil servants (PPNPN). From the results of the weight calculation using the Entropy method, it was obtained that the Attendance Indicator has the largest weight value of 0.5495, followed by the Warning Letter indicator with a weight of 0.2353. Then the third largest weight is on the Performance indicator with a weight of 0.1107, followed by the Basic Value indicator with a weight of 0.0604. The smallest weight gain is generated by the Insight Test indicator of 0.0439
Sistem Pendukung Keputusan Penilaian Kinerja Manajer di PT. Pos Indonesia dengan Metode WASPAS Dwi Asdini; Miftahul Khairat; Dito Putro Utomo
JURIKOM (Jurnal Riset Komputer) Vol 9, No 1 (2022): Februari 2022
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/jurikom.v9i1.3767

Abstract

PT. Pos Indonesia is one of the State-Owned Enterprises (BUMN) which is engaged in shipping services. To face this business competition, a company must improve the quality of service to obtain customer satisfaction and maintain the smoothness and progress of the business. The improvement of the service process for the company cannot be separated from the role and contribution of a manager in the company. So that the feasibility of the performance of a manager must of course be considered and also assessed. To see the feasibility of a PT. Pos Indonesia manager doing a performance assessment. To get accurate performance appraisal results, a decision support system is carried out using the WASPAS method. Where the WASPAS method is considered appropriate to determine the best technician because it performs ranking based on predetermined criteria values. It is hoped that this research can help get effective results. In the study, it was found that managers were still eligible to be in the occupied positions
Optimasi Particle Swarm Optimization Pada Peningkatan Prediksi dengan Metode Backpropagation Menggunakan Software RapidMiner Irnanda, Khairunnissa Fanny; Windarto, Agus Perdana; Damanik, Irfan Sudahri
JURIKOM (Jurnal Riset Komputer) Vol 9, No 1 (2022): Februari 2022
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/jurikom.v9i1.3836

Abstract

Backpropagation is a method of Artificial Neural Networks that is quite reliable in solving prediction problems (forecasting). However, in its application, this algorithm still has weaknesses such as optimizing the artificial neural network weights to avoid local minimums, the problem of long training times to achieve convergence and the process of determining the right parameters (learning rate and momentum) in the training process. The purpose of this research is to solve this problem by using Particle Swarm Optimization (PSO) which is a simple and reliable optimization algorithm to solve optimization problems. The data source is obtained from the site sumut.bps.go.id. There are 5 network architecture models used in this study, including 2-5-1, 2-7-1, 2-9-1, 2-11-1 and 2-13-1. The results of trials conducted with Rapid Miner software, the best architectural model is the 2-9-1 model with a total RMSE of 0.056 +/- 0.000 in the implementation of Backpropagation, while in the implementation of Backpropagation + particle swarm optimization the amount of RMSE is 0.055 +/- 0.000. The smaller the RMSE (Root Mean Squared Error), the better the model
Optimalisasi Pemrosesan Distributed RSA Algorithm dengan Metode Penjadwalan Proses Pada Single Board Computer Cluster Arief, Sofyan Noor; Firdaus, Vipkas Al Hadid; Prasetyo, Arief
JURIKOM (Jurnal Riset Komputer) Vol 9, No 1 (2022): Februari 2022
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/jurikom.v9i1.3865

Abstract

Data security is still a major issue regarding the need for data confidentiality. The encryption process using the RSA algorithm is still the most popular method used in securing data because the complexity of the mathematical equations used in this algorithm makes it difficult to hack. However, the complexity of the RSA algorithm is still a major problem that hinders its application in a more complex application. Optimization is needed in the processing of this RSA algorithm, one of which is by running it on a distributed system. In this paper, we propose an approach with a FIFO process scheduling algorithm that runs on a single board computer cluster. The test results show that the allocation of resources in a system that uses a FIFO process scheduling algorithm is more efficient and shows a decrease in the overall processing time of RSA encryption
Penerapan Online Analytical Processing (OLAP) dalam Pengelolaan Data Karyawan Aldisa, Rima Tamara
JURIKOM (Jurnal Riset Komputer) Vol 9, No 1 (2022): Februari 2022
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/jurikom.v9i1.3832

Abstract

At this time many companies manage employee data manually from the process of recording employee data, employee absences which can result in data errors. Because of several things, it is necessary to have a system that can record every incoming data as well as a method that can control it so as not to experience excess or deficiency. The method used is the Online Analytical Processing (OLAP) method. The Online Analytical Processing (OLAP) method is an approach method to provide answers to requests for dimensional analysis processes quickly, the result to be achieved is to be able to design applications that are expected to provide convenience for companies to carry out the process of recording employee data, employee attendance to presentation. reports quickly, precisely and accurately
Rancang Bangun Aplikasi Rekomendasi Restoran Menggunakan Metode K-Nearest Neighbors dan Content-Based Filtering Liang, Suwarno; Susanto, Jon
JURIKOM (Jurnal Riset Komputer) Vol 9, No 1 (2022): Februari 2022
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/jurikom.v9i1.3816

Abstract

The culinary business is a promising business today because food and beverages are basic needs. This can be seen from the number of cafes, restaurants or restaurants in Batam City. Along with the rapid growth of the culinary business, the variety of food is becoming increasingly diverse, thus making it increasingly difficult for consumers to choose and determine the right food, both based on taste and ease of access. Therefore, it is necessary to need a system that can provide the user with the best and most suitable food or restaurant recommendations. This study designs and builds a recommendation system using K-Nearest Neighbors which functions to recommend restaurants with the closest distance, while Content-Based Filtering functions to recommend foods according to user preferences. The system is built in the form of a mobile-based application so that users can access and get more relevant recommendations

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