JURNAL MEDIA INFORMATIKA BUDIDARMA
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<![CDATA[Analisis Sentimen Pembelajaran Daring Pada Twitter di Masa Pandemi COVID-19 Menggunakan Metode Naïve Bayes ]]>
<![CDATA[Samsir Samsir]]>;
<![CDATA[Ambiyar Ambiyar]]>;
<![CDATA[Unung Verawardina]]>;
<![CDATA[Firman Edi]]>;
<![CDATA[Ronal Watrianthos]]>
<![CDATA[ JURNAL MEDIA INFORMATIKA BUDIDARMA Vol 5, No 1 (2021): Januari 2021 ]]>
Publisher : <![CDATA[STMIK Budi Darma ]]>
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DOI: 10.30865/mib.v5i1.2580
<![CDATA[The WHO announced that more than 52 million people tested positive for Covid-19, and 1.2 million died in the second week of November 2020. Meanwhile, Indonesia recorded 463 thousand individuals with 15,148 deaths that were confirmed positive. Strategy against pandemics by incorporating socialization. However, learning that was initially bold as a technique became controversial due to the briefness of the adaptation process. a wide continuum of social reactions has resulted in the sudden transition from face-to-face learning to bold learning on a large scale. This research focuses on public opinion on online learning during the Indonesian COVID-19 pandemic in early November 2020. The analysis was carried out on Twitter by mining document-based text that was interpreted using the Naïve Bayes algorithm. The results show that online learning has a positive sentiment of 30 percent, a negative sentiment of 69 percent, and a neutral 1 percent over the period. Due to community dissatisfaction about online learning, a significant amount of negative sentiment is created. Some tweets indicate disappointment with the words' stress 'and' lazy 'in the conversation being high-frequency words.]]>
<![CDATA[Rancang Bangun Alat Penyiram Sayuran Hidroponik Menggunakan Arduino Mega 2560 ]]>
<![CDATA[Kusumo, Bayu]]>;
<![CDATA[Azis, Nur]]>
<![CDATA[ JURNAL MEDIA INFORMATIKA BUDIDARMA Vol 5, No 1 (2021): Januari 2021 ]]>
Publisher : <![CDATA[STMIK Budi Darma ]]>
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DOI: 10.30865/mib.v5i1.2584
<![CDATA[Activities suitable for planting with hydroponic systems in the midst of covid 19 pendemi are in great demand by utilizing limited land. One of the elements in suitable planting activities is water, because 70 percent of the molecules in plants are water. Water serves as the raw material of plants in the process of photosynthesis and can also keep plant moisture from withering. Currently the method of watering plants is still done manually by checking the condition of the soil, if the soil condition is dry then the new water pump is turned on for watering. But the method is considered less effective because it requires farmers to do regular checks and should not forget so that the soil does not dry so that the plants do not wither. To answer these problems in this study want to provide certainty how the plant gets enough water. One of the efforts that can be done is to make an automatic watering tool that without having to take time so as to give an efficient impact. The tool is made using Arduino Mega 2560 Components that serve as controllers in the watering system with the help of smartphones for remote control.]]>
<![CDATA[Penerapan Machine Learning dengan Konsep Data Mining Rough Set (Prediksi Tingkat Pemahaman Mahasiswa terhadap Matakuliah) ]]>
<![CDATA[Raharjo, Mokhamad Ramdhani]]>;
<![CDATA[Windarto, Agus Perdana]]>
<![CDATA[ JURNAL MEDIA INFORMATIKA BUDIDARMA Vol 5, No 1 (2021): Januari 2021 ]]>
Publisher : <![CDATA[STMIK Budi Darma ]]>
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DOI: 10.30865/mib.v5i1.2745
<![CDATA[The Rough Set (RS) method is part of machine learning that analyzes the uncertainty of the dataset used to determine the attributes of important objects (classification). The purpose of this study was to extract information from the rough set using the Rosetta application in predicting cases of students' level of understanding of the course. The attributes used are communication (F1), learning atmosphere (F2), learning media (F3), appearance (F4), and teaching methods (F5). Sources of data obtained from the output of the Journal of Physics: Conference Series, 1255 (1). https://doi.org/10.1088/1742-6596/1255/1/012005. The results of the application of the Rough Set method in determining the prediction of the level of student understanding of the course, produce new knowledge, namely learning outcomes based on the subject. There are 15 Reductions with 90 Generate Rules. But overall, the attributes that affect the level of student understanding of the subject are communication (F1) and learning media (F3)]]>
<![CDATA[Pembaharuan Sistem Penentuan Untuk Klasifikasi Jenis Penyakit pada RSUD Sekayu Menggunakan Pendekatan Extreme Programming ]]>
<![CDATA[Megawaty Megawaty]]>;
<![CDATA[Nurul Huda]]>
<![CDATA[ JURNAL MEDIA INFORMATIKA BUDIDARMA Vol 5, No 1 (2021): Januari 2021 ]]>
Publisher : <![CDATA[STMIK Budi Darma ]]>
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DOI: 10.30865/mib.v5i1.2273
<![CDATA[This research is done to create a system or software that can classify a type of disease suffered by the patient, by conducting anamnese technique, this technique is done in the early stages of the patient before the treatment of doctors, the examination is done by questioning the patient about the condition and complaints that the patient feels to know the health condition of the patient. The Anamnese stage is performed by the nurse station before the patient is directed to the doctor where it corresponds to the results of the Anamnese. In the implementation of this stage is important for nurse station to direct the patient according to the patient's health condition with the Doctor who will handle the patient. But some diseases have similarities or similar symptoms but with different types of diseases, in the HOSPITAL Sekayu in Nurse station does not have a special system to classify the types of diseases of the patient this is what is the background of this research is made. The benefit is that the system can classify the types of diseases of patients according to the condition of the patient, helping nurse station to direct the patient to a classification of diseases suffered, as a storage media of the patient's medical record. The research was made to adopt the algorithm of K-Nearest Neighbor and the Extreme programming approach as a system development method.]]>
<![CDATA[Implementasi Framework Codeigniter Pada Perancangan Chatbot Interaktif Menerapkan Metode Waterfall ]]>
<![CDATA[Cahya, Nilam]]>;
<![CDATA[Triayudi, Agung]]>;
<![CDATA[Benrahman, Benrahman]]>
<![CDATA[ JURNAL MEDIA INFORMATIKA BUDIDARMA Vol 5, No 1 (2021): Januari 2021 ]]>
Publisher : <![CDATA[STMIK Budi Darma ]]>
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DOI: 10.30865/mib.v5i1.2623
<![CDATA[In delivering information related to lecture activities at the National University, the Information Systems Study Program has prepared a special website, namely http://si.ftki.unas.ac.id/. The website contains a lot of information about important activities or announcements, it's just that the need for other supporting information makes users have the need to ask further questions regarding the information contained on the website. Actually the Website http://si.ftki.unas.ac.id/ has provided the RoomChat feature for question and answer sessions between admin and users, but this feature is still ineffective, such as there is a time lag between questions and responses or unable to provide services for 24 jam. In this study, the authors wanted to design the chatbot feature using the waterfall method, which was carried out sequentially starting from the planning, analysis, design, implementation, testing to maintenance stages. While working on the application, this chatbot was created using the Codeigniter framework with the mysqli database. This chatbot feature will result in a more interactive question and answer session, so that two-way communication with users can run smoothly.]]>
<![CDATA[Klasifikasi Coronary Heart Disease (CHD) Berbasis Optimasi DNN dan Inisialisasi Kaiming He ]]>
<![CDATA[Lia Andiani]]>;
<![CDATA[Sukemi Sukemi]]>;
<![CDATA[Dian Palupi]]>;
<![CDATA[Nurul Afifah]]>
<![CDATA[ JURNAL MEDIA INFORMATIKA BUDIDARMA Vol 5, No 1 (2021): Januari 2021 ]]>
Publisher : <![CDATA[STMIK Budi Darma ]]>
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DOI: 10.30865/mib.v5i1.2559
<![CDATA[CHD is chest pain or discomfort that occurs if the area of the heart muscle does not get enough oxygen-rich blood. CHD is also known as coronary artery disease. CHD is increasing every year with a significant number of deaths. A learning algorithm is proposed to get better performance in accuracy, sensitivity, and specificity in CHD interpretation. Accuracy can be improved by adding a Kaiming He (2015) weight initialization optimization technique to the DNN structure. Therefore we propose that DNN is optimized with a Kaiming He weight initialization technique so that it can overcome weaknesses in the data variant. This is evidenced by the results of the accuracy performance of 98.73%. Initialization of kaiming he weights is proven to improve accuracy and overcome the problem of large data variants between classes]]>
<![CDATA[Integrasi SMOTE pada Naive Bayes dan Logistic Regression Berbasis Particle Swarm Optimization untuk Prediksi Cacat Perangkat Lunak ]]>
<![CDATA[Andre Hardoni]]>;
<![CDATA[Dian Palupi Rini]]>;
<![CDATA[Sukemi Sukemi]]>
<![CDATA[ JURNAL MEDIA INFORMATIKA BUDIDARMA Vol 5, No 1 (2021): Januari 2021 ]]>
Publisher : <![CDATA[STMIK Budi Darma ]]>
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DOI: 10.30865/mib.v5i1.2616
<![CDATA[Software defects are one of the main contributors to information technology waste and lead to rework, thus consuming a lot of time and money. Software defect prediction has the objective of defect prevention by classifying certain modules as defective or not defective. Many researchers have conducted research in the field of software defect prediction using NASA MDP public datasets, but these datasets still have shortcomings such as class imbalance and noise attribute. The class imbalance problem can be overcome by utilizing SMOTE (Synthetic Minority Over-sampling Technique) and the noise attribute problem can be solved by selecting features using Particle Swarm Optimization (PSO), So in this research, the integration between SMOTE and PSO is applied to the classification technique machine learning naïve Bayes and logistic regression. From the results of experiments that have been carried out on 8 NASA MDP datasets by dividing the dataset into training and testing data, it is found that the SMOTE + PSO integration in each classification technique can improve classification performance with the highest AUC (Area Under Curve) value on average 0,89 on logistic regression and 0,86 in naïve Bayes in the training and at the same time better than without combining the two.]]>
<![CDATA[Penerapan Metode SMART dalam Seleksi Penerima Bantuan Sosial Warga Masyarakat Terdampak COVID-19 ]]>
<![CDATA[Bambang TJ Hutagalung]]>;
<![CDATA[Elida Tuti Siregar]]>;
<![CDATA[Juanda Hakim Lubis]]>
<![CDATA[ JURNAL MEDIA INFORMATIKA BUDIDARMA Vol 5, No 1 (2021): Januari 2021 ]]>
Publisher : <![CDATA[STMIK Budi Darma ]]>
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DOI: 10.30865/mib.v5i1.2618
<![CDATA[The Tabita Women's Association (PW) faces obstacles in determining objective criteria in determining community members affected by Covid-19 for social assistance to be distributed so that they are right on target. This is due to the absence of a systematic and measurable system in determining which citizens are eligible as recipients of social assistance. To help PW Tabita, it is necessary to establish a system capable of providing output recommendations for the selection of the most appropriate community members as recipients of social assistance. The criteria for selecting social assistance recipients refer to the fulfillment of several elements, namely: employment status, monthly income, number of dependents, residence status, electricity tariff status, insurance participants, and PKH (Family Hope Program) participants. The Simple Multi-Attribute Rating Technique (SMART) method is a method applied in this research. The results showed that determining the appropriate weight for each criterion greatly influenced the results of the calculation of the recommendation for providing social funds for people affected by Covid-19. Then in order to obtain more accurate results, it is necessary to test the validity of the criteria to obtain more precise criteria in accordance with the eligibility needs of receiving social funds for community members affected by Covid-19 from PW Tabita.]]>
<![CDATA[Analisa Klasifikasi C4.5 Terhadap Faktor Penyebab Menurunnya Prestasi Belajar Mahasiswa Pada Masa Pandemi ]]>
<![CDATA[Khairunnissa Fanny Irnanda]]>;
<![CDATA[Dedy Hartama]]>;
<![CDATA[Agus Perdana Windarto]]>
<![CDATA[ JURNAL MEDIA INFORMATIKA BUDIDARMA Vol 5, No 1 (2021): Januari 2021 ]]>
Publisher : <![CDATA[STMIK Budi Darma ]]>
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DOI: 10.30865/mib.v5i1.2763
<![CDATA[The purpose of the study was to classify the factors causing the decline in student achievement during the pandemic using the C4.5 datamining method. Sources of research data were obtained by conducting interviews and distributing questionnaires to 7th semester students of the 2020-2021 school year information system study program. Attributes that used in the classification of the factors causing the decline in student achievement include: Learning Method (C1), Study Time (C2), Material Understanding (C3), Giving Assignments (C4) and Environment (C5). The results of the calculation show that the Material Understanding (C3) attribute is the attribute that most influences the decline in student learning achievement. Testing was also carried out using the help of Rapidminer software and obtained an accuracy of 97.5%.]]>
<![CDATA[Sistem Informasi UMKM Bengkel Berbasis Web Menggunakan Metode SCRUM ]]>
<![CDATA[Wahyu Adi Prabowo]]>;
<![CDATA[Citra Wiguna]]>
<![CDATA[ JURNAL MEDIA INFORMATIKA BUDIDARMA Vol 5, No 1 (2021): Januari 2021 ]]>
Publisher : <![CDATA[STMIK Budi Darma ]]>
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DOI: 10.30865/mib.v5i1.2604
<![CDATA[Strengthening on Micro, Small and Medium Enterprises (MSMEs) in Indonesia needs to be supported by the use and good information systems management. Therefore, business actors are expected to be able to use a operational strategy supported by the use of information systems. Workshop is one of the complex MSMEs with integrated warehousing and financial reporting. The problem faced at this workshop UMKM is that there is no synchronization between the existing stock of goods and the sales stock, as well as reporting both warehouse reporting and financial reporting. For this reason, this study aims to build a web-based MSME information system for tire & rims workshops. In building this system, researchers used the agile software development method, namely SCRUM. This method is used because the system can adjust to the needs of the product owner, which is always changing and fast in processing. The results of this scrum stage, namely the product log, sprint backlog, sprint and working increment of the software, can resolve all problems that occur with regard to time, scope and cost issues so that in the implementation of making this system application can reduce the system requirements gap during the sprint process. So that the system can be completed in accordance with the requirements needed by the user. By using this workshop's UMKM information system, all sales operational activities can be monitored properly and sales and financial reports can be well structured.]]>
