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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 22 Documents
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Search results for , issue "Vol 9, No 1 (2022): Februari 2022" : 22 Documents clear
Analisis Trending Topik Twitter dengan Fitur Ekspansi FastText Menggunakan Metode Logistic Regression Izzan Faikar Ramadhy; Yuliant Sibaroni
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.v9i1.3791

Abstract

Twitter is a social media that contains information such as the latest news, a person's biography, and tweets from users. Twitter has a feature called trending topics that serves to find out information on certain topics that are currently popular. In fact, it is often difficult to understand what trending topics are happening. Therefore, it is necessary to classify trending topics into a general category. This study aims to analyze and classify Twitter topic trending information by dividing several topic trend labels using the FastText expansion feature method. The FastText expansion feature is used to reduce vocabulary mismatches in a tweet. The classification process of this system will use the Logistic Regression method. The best results were obtained in this study using test data scenarios, 90:10 training data with 76.39% accuracy. The most discussed trending topic from September 2021 to October 2021 was politics with a percentage of 15.83%, followed by religion 12.64% and technology 10.42%
Segmentasi Tingkat Kematangan Buah Pisang Cavendish Sangat Matang Berdasarkan Warna Menggunakan Watershed Ageng Muktianto; Vidya Indriyani
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.v9i1.3828

Abstract

The Cavendish banana is considered to be one of the most sought-after export-oriented fruit in Indonesia. The large market size of export fruits, especially Cavendish bananas, opens opportunities for Indonesia to raise both its product quantity and quality in order to increase its competitiveness. Various methods have been conducted to increase the quantity and quality of Indonesia's cavendish bananas, one of which is the adoption of the image processing technology. This method aims to simplify and resolve cultivation and processing issues regarding Cavendish bananas, among other things by minimizing human error in determining fruit ripeness (which is traditionally conducted by manual labor). This research uses HSV segmentation and a Watershed algorithm in segmenting images of 50 ripe Cavendish bananas with 40 training data and 10 testing data. Based on our research, we founda out that ripe Cavendish bananas have 42% red, 37% green, and 21% blue in average, with an accuracy rate of 65%
Pemilihan Model Arsitektur Terbaik Dengan Mengoptimasi Learning Rate Pada Neural Network Backpropagation Cici Astria; 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.v9i1.3834

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. However, the Backpropagation Algorithm tends to be slow to achieve convergence in obtaining optimum accuracy and requires large training data and the optimization used is less efficient. The purpose of this research is to optimize the learning rate on backpropagation neural networks. Source of data obtained from CV. Bona Tani Hatonduhan. There are 3 network architecture models used in this study, namely 2-51, 2-6-1, and 2-7-1 with learning rates of 0.1, 0.2, and 0.3. the results of trials carried out with MATLAB software produced the best architectural model, namely the 2-7-1 model with a learning rate of 0.3 with an accuracy of 83%. Based on this background, it is hoped that the results of the research can help in the process by optimizing the learning rate of the backpropagation Neural Network on the selection of the best architecture.
Sistem Pakar Diagnosis Penyakit Rhinitis Menggunakan Metode Forward Chaining Berbasis Web Aghnia NurJumala; Novian Adi Prasetyo; Hari Widi 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.v9i1.3815

Abstract

The development of technology and information systems that are growing rapidly as it is today, requires everyone to continue to develop knowledge so as not to be out of date. The use of technology today can be used in all fields, such as education, security, health, and so on. Expert systems in the health sector are designed and made to imitate an expert who can facilitate the work of an expert in making decisions to solve problems. In a case study conducted at the Dadi Family Hospital, Purwokerto, data were obtained from patients with a diagnosis of rhinitis, the majority of whom did not know information about the symptoms and diseases. Rhinitis is an inflammatory disease or inflammation of the nasal mucosa that is triggered by certain allergens. The increasing number of ENT diseases, especially rhinitis, is not accompanied by the number of experts. In this case, it is necessary to conduct an analysis to speed up the diagnosis process by medical personnel. Based on the case study, an information system is needed that can be used by its users as a source of information as well as a more practical consultation media. In designing this system using PHP and MySQL with research datasets obtained from hospital medical records. For the development of the system using the waterfall method with the forward chaining method as a method of searching or drawing conclusions based on existing data or facts leading to conclusions. Then in testing the system using the black box as a feature functionality test, as well as testing the System Usability Scale (SUS) as a system feasibility test, and testing the accuracy of the expert system using the confusion matrix. For the results of the accuracy of this expert system obtained by 93%
Deteksi Dini Hama dan Penyakit Padi Menggunakan Metode Certainty Factor Sulistiyanto Sulistiyanto; Tri Aristy Saputri; Noviyanti Noviyanti
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.v9i1.3778

Abstract

Padi is one of the main food commodities. Every year the need for rice continues to increase, as fulfillment of domestic and export needs. Various efforts were made in order to increase rice production, including superior seed seed research, expansion of planting land and counseling and mentoring to farmers. Pests and diseases are one of the 'main factors that have an impact on the decline in the productivity of rice plants. Recognizing Symptoms of the disease requires skills and experience and knowledge. Symptoms that arise often by farmers are difficult to recognize and only experts who can identify it correctly and correctly. The limitations of agricultural experts in the region, are obstacles for farmers when they want to consult. The expert system can then be an alternative solution to replace the expert role in deciding the type of disease that attacks. This study aims to design an expert system using certainty factors for website-based to help farmers in deciding the type of disease. Diseases that are sampled include blast, hawar daun (kresek), busuk pelepah, tungro (kerdil), chocolate spots and striped spots. The method used in this research is Reseach And Development (RND).The results of system output testing validated by experts have an accuracy of 66.67%, and system testing with blackbox testing is declared valid to the main features of the system. It is expected that this expert system, farmers become helped in deciding the type of disease that attacks their rice and can take preventive actions so as not to spread to other rice plants
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

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