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INDONESIA
JURNAL MEDIA INFORMATIKA BUDIDARMA
Published by Sekolah Tinggi Manajemen Informatika dan Komputer Budi Darma
ISSN : 26145278     EISSN : 25488368     DOI : http://dx.doi.org/10.30865/mib.v3i1.1060
Core Subject : Science, Engineering,
Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering
Decission Support System, Expert System, Informatics tecnique, Information System, Cryptography, Networking, Security, Computer Science, Image Processing, Artificial Inteligence, Steganography etc (related to informatics and computer science)
Arjuna Subject : Ilmu Komputer (semua kategori) - Ilmu Komputer (Lain-Lain)
Articles 1,182 Documents
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Evaluasi Pengalaman Pengguna dengan Menggunakan User Experience Questionnaire Perpustakaan Digital Riche Riche; Sophya Hadini Marpaung
JURNAL MEDIA INFORMATIKA BUDIDARMA Vol 5, No 4 (2021): Oktober 2021
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/mib.v5i4.3270

Abstract

This study uses the User Experience Questionnaire (UEQ) to assess user experience in the STMIK Mikroskil digital library. In detail, research activities were carried out in several stages, namely by reinventing and determining the formulation of the problem to be solved, conducting literature studies, observing the STMIK Mikroskil library website, designing questionnaires, collecting data, and drawing conclusions. The User Experience Questionnaire (UEQ) is used to assess a system or find out the extent of the user experience in order to get a comprehensive impression of the experience of users or end users of a system. In this study it was found that the usability/user experience of the STMIK Mikroskil digital library for all available services was positive or decent
Reengineering Proses Bisnis Toko Oleh-Oleh Menggunakan Enterprise Resource Planning Odoo 13 dengan User Acceptance Test sebagai Metode Pengujian Sistem I Kadek Suabdinegara; Gusti Agung Ayu Putri; I Made Sunia Raharja
JURNAL MEDIA INFORMATIKA BUDIDARMA Vol 5, No 4 (2021): Oktober 2021
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/mib.v5i4.3271

Abstract

Business process engineering is carried out on the business process of Wardani’s souvenir shop which is located at Jl. Monkey Forest, Ubud. This shop was chosen as the research use case because the shop is located in a strategic tourist location in the center of Ubud. Reengineering is focused on the Wardani Store’s business activities in the purchasing, inventory, and sales business functions, where at the time the research was conducted, all processes were still using the manual method. This method often causes problems, such as uncontrolled purchasing of goods, errors in recording purchases and sales of goods, length of calculation in transactions, and unclear information on availability of goods. Therefore, an approach is needed in developing an integrated system in the company's operational activities, and the application of Enterprise Resource Planning (ERP) can be an alternative in overcoming the problems experienced. ERP implementation is carried out by identifying ongoing business processes for purchasing, inventory, and selling goods, then making an integrated system proposal by implementing Odoo 13. System testing is carried out using the User Acceptance Test (UAT) method which is a final testing method for developing a product to validate whether the system built is in accordance with the user's needs or not. The system test results show that the Odoo ERP application is considered quite successful in helping companies in purchasing, inventory, and selling goods, so that business processes become more effective and efficient
Group Recommender System Using Hybrid Method Esa Alfitrassalam; Ade Romadhon; Z K Abdurahman Baizal
JURNAL MEDIA INFORMATIKA BUDIDARMA Vol 5, No 4 (2021): Oktober 2021
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/mib.v5i4.3220

Abstract

In our daily activities, we make a lot of decisions either individually or in groups. The recommender systems is a solution for making decisions. One of the most common recommender systems is the recommendation for tourist destinations, where a number of tourist attractions are given as tourist attractions that are recommended to be visited by someone. There are still few recommended tourist attractions that provide recommendations for a group, while there are several tourist attractions that are more suitable if visited by several people at the same time. In this study, a recommender system for tourist attractions in Bandung-Raya Regency is proposed which is given to user groups. The recommended method used is Hybrid Collaborative Filtering and Knowledge-Based Filtering. In the process of selecting groups that are candidates to be recommended to users, Borda calculations are carried out with votes so that users can determine whether they like or dislike and match or not match the recommender generated by the system. The results of the evaluation of experiments conducted by taking surveys of users showed an average value. the average of the indicators of user satisfaction with the results of group recommender is 4.4 on the scale (1-5)
Analisis Teorema Bayes Dalam Mendiagnosa Penyakit Tanaman Pisang Zunaidi, Muhammad; Pane, Usti Fatimah Sari Sitorus; Nasyuha, Asyahri Hadi
JURNAL MEDIA INFORMATIKA BUDIDARMA Vol 5, No 4 (2021): Oktober 2021
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/mib.v5i4.3225

Abstract

Most of Indonesia's population earns a living as farmers who mostly cultivate various types of plants, one of which is the banana plant. Banana plant (Musa Paradisiaca L) is one of the horticultural crops that can be planted intensively due to very supportive soil and climatic conditions, especially in North Sumatra. However, the productive growth of banana plants in Indonesia is getting lower, this is due to the lack of knowledge of farmers about banana plant diseases and how to overcome them, another reason is the lack of agricultural managers who provide counseling to farmers about types of banana plant diseases and their prevention and prevention. In this study, we will take advantage of the development of analysis that adopts the process and way of thinking of humans, namely Artificial Intelligence or artificial intelligence which is often called the Expert System with the Bayes Theorem algorithm that relies on probability values, so that it can provide diagnostic results that are in accordance with symptoms based on the knowledge base obtained from expertise. an expert in the field of banana plant diseases. The research will provide solutions for handling or preventing disease based on the rules that have been obtained from the expertise of an expert in the field of banana plants. So the analysis of the Bayes theorem algorithm is feasible to implement and can help banana farming communities in preventing disease and can help increase the productivity of banana plants
Implementasi Metode SMART Untuk Penentuan Platform Pembelajaran Jarak Jauh Masa Pandemi Rajiansyah, Rajiansyah; Fajri, Ahmad
JURNAL MEDIA INFORMATIKA BUDIDARMA Vol 5, No 4 (2021): Oktober 2021
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/mib.v5i4.3317

Abstract

The pandemic period is difficult times for all nations and countries around the world because the pandemic period is a period that limits many activities carried out as usual due to an outbreak of the Covid-19 virus as the most contagious and quite deadly virus, including in learning activities for an educational institution for the sake of education. break the rope of the spread of a larger virus so that a platform is used that helps in carrying out the teaching and learning process, the many types of platforms currently available make it difficult to determine the most appropriate platform for its use based on several criteria such as usability, affordability, maintability, accessibility and compatibility. the selection using a decision support system to facilitate the decision-making process appropriately, the process of using a decision support system using the SMART (Simple Multi Attribute Rating Technique) method, the results obtained are ah A2 with a value of 0.92
Implementasi Penerapan Metode C4.5 dan Naïve Bayes Dalam Tingkat Kelulusan Akreditasi Lembaga PAUD Pada Badan Akreditasi Nasional Genisa, Lenggo; Mulyana, Dadang Iskandar
JURNAL MEDIA INFORMATIKA BUDIDARMA Vol 5, No 4 (2021): Oktober 2021
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/mib.v5i4.3267

Abstract

Education from an early age is one way to stimulate children's potential. This is explained in the Law of the Republic of Indonesia Number 20 of 2003 concerning the National Education System which states that Early Childhood Education (PAUD) is a coaching effort aimed at children from birth to the age of six which is carried out through the provision of educational stimuli to help growth and physical and spiritual development so that children have readiness to enter further education. The National Accreditation Board for Early Childhood Education and Non-Formal Education, hereinafter referred to as BAN PAUD and PNF, is an independent evaluation body that determines the feasibility of PAUD and PNF programs and/or units. BAN PAUD and PNF were formed based on Permendikbud Number 52 of 2015 concerning the National Accreditation Board for Early Childhood Education and Non-Formal Education which is a substitute for Permendikbud 59 of 2012. Improving the quality of the implementation of PAUD and PNF Accreditation can be done by increasing the availability of non-formal education accreditation services. Other things that can be done to improve the quality of the implementation of PAUD accreditation are by providing certainty and guarantee of obtaining non-formal education accreditation services and improving a reliable governance system in ensuring the implementation of non-formal education accreditation services. This study uses data mining techniques in predicting the accreditation status of PAUD education units. First, preprocessing is used to get a quality dataset. Second, the data is processed to get a series of predictions. In this step, two data mining algorithms are applied, namely the Naïve Bayes Algorithm and the C4.5 Algorithm with the aim of knowing the performance of the two algorithms with a greater level of accuracy will be recommended in solving the problem of predicting the accreditation of PAUD education units in BAN PAUD and PNF DKI Jakarta Province. Then the third, the results will be in the Conffusion Matrix to validate the accuracy of the prediction results. And the results of the assessment show that the C4.5 and Naïve Bayes Algorithm methods can be used to predict the accreditation status of PAUD education units with an accuracy of 99.00%
Klasifikasi Physical Activity Berbasis Sensor Accelorometer, Gyroscope, dan Gravity menggunakan Algoritma Multi-class Ensemble GradientBoost Aziz, Firman; Usman, Syahrul; Jeffry, Jeffry
JURNAL MEDIA INFORMATIKA BUDIDARMA Vol 5, No 4 (2021): Oktober 2021
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/mib.v5i4.3222

Abstract

The current generation of smartphones is increasingly sophisticated, equipped with several sensors such as accelerometer, gravity sensor, and gyroscope that can be used to recognize human activities such as going up stairs, going down stairs, running and walking. To get information, the data will be grouped using statistical methods. The performance of statistical methods has shortcomings in classifying data because of the procedures that must be met. To cover this shortcoming, the ensemble technique is used. In this paper, we propose to apply the Multi-Class Ensemble Gradientboost algorithm to improve the performance of the logistic regression method in classifying such as climbing stairs, descending stairs, running and walking. The process of taking data using a smartphone by designing an Android-based .apk system. Then, the entire dataset was separated into training data and test data with a comparison percentage of 70:30. The results obtained show that the Multi-Class Ensemble Gradientboost algorithm succeeded in increasing the logistic regression performance by 27.93%
Penerapan Model Pembelajaran dengan Metode Reinforcement Learning Menggunakan Simulator Carla Dharma, Arie Satia; Tambunan, Veronika
JURNAL MEDIA INFORMATIKA BUDIDARMA Vol 5, No 4 (2021): Oktober 2021
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/mib.v5i4.3169

Abstract

Artificial Intelligence is the study of how to make machines or computer programs have the intelligence or ability to do things that humans can do. The application of AI is currently in various ways, one of which is for self-driving cars. To be able to do a self-driving car, the AI that is implanted in a car must applied to the method to be able to walk on its path and be able to adapt to its environment. Reinforcement learning is one type of machine learning where agents learn something by doing certain actions and the results of those actions and try to maximize the gifts received through interactions with the environment that are reward negative or positive. In this research, we applied of the reinforcement learning method on the Carla Car simulator. The simulator is used to collect data using an RGB sensor, then modeling experiments which produce several models to be used in simulation experiments. The model is obtained by using the Convolutional Neural Network (CNN) algorithm with the NVIDIA architectural model. From the results of research based on experiments conducted obtained the best model obtained from the experimental model by comparing the maximum reward value, high accuracy and low loss is model 1 in the experimental model A with 100 episodes and model 4 in model B experiment with 150 episodes
Sistem Informasi Penjualan Daster Handmade Berbasis Multiplatform Menggunakan WhatsApp Gateway Asyhadi, Ahmad; Naibaho, Ronald
JURNAL MEDIA INFORMATIKA BUDIDARMA Vol 5, No 4 (2021): Oktober 2021
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/mib.v5i4.3297

Abstract

Duratu Jambi is a business unit that utilizes Instagram for sales activities. The product offered is a handmade negligee. Based on the analysis of the current system, the limitations of Duratu's system hamper the performance of the admin staff and require a system that can be used to manage all sales transactions, and generate reports. The system design is implemented based on progressive web applications that can run on multiplatform, and the system development is based on the waterfall method. The system testing method uses integrated testing. The results of this study are a new system to provide convenience in transacting and managing reports in Duratu Jambi
Sistem Pendukung Keputusan Pemilihan Supplier Dengan Metode AHP Pada Apotek & Laboratorium Klinik Interna Berbasis Web Awanda Octavianti Putri; Eka Prasetyaningrum
JURNAL MEDIA INFORMATIKA BUDIDARMA Vol 5, No 4 (2021): Oktober 2021
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/mib.v5i4.3236

Abstract

Inventory of products or goods in the form of medicines and others is one of the work activities. In procuring products, in this case drugs, the selection of drug suppliers is very important for a drugstore business, pharmacy or regional hospital. Interna Pharmacy & Clinical Laboratory is a private pharmacy located in Sampit, East Kotawaringin, Central Kalimantan. The problem that exists at the Internal Pharmacy & Clinical Laboratory is the selection of suppliers by comparing several suppliers or only based on the thoughts of the owner, pharmacist or pharmacist assistant. Suppliers are selected based on price, number of discounts given, speed of delivery of goods, completeness of drugs and drug packaging. Selection of suppliers with a system that has been running with various criteria resulted in the selection of suppliers is not accurate and takes time. Based on the problems above, it is very necessary to have a decision support system website using the Analytical Hierarchy Process method. By using a decision support system with the Analytical Hierarchy Process method, the Pharmacy & Internal Clinical Laboratory can make an assessment by comparing each criterion. The output of this research is a decision support system using the Analytical Hierarchy Process method. This study aims to make it easier to select drug suppliers from various criteria, save time in selecting drug suppliers, get good suppliers for the procurement of the necessary drugs

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