JURNAL MEDIA INFORMATIKA BUDIDARMA
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<![CDATA[Analisis Perbandingan Algoritma ACO-TS dan ACO-SMARTER Dalam Menyelesaikan Traveling Salesman Problem ]]>
<![CDATA[Jimmy Peranginangin]]>;
<![CDATA[Ronsen Purba]]>;
<![CDATA[Arwin Halim]]>
<![CDATA[ JURNAL MEDIA INFORMATIKA BUDIDARMA Vol 5, No 4 (2021): Oktober 2021 ]]>
Publisher : <![CDATA[STMIK Budi Darma ]]>
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DOI: 10.30865/mib.v5i4.3283
<![CDATA[The research conducted is the Comparative Analysis of the ACO-TS and ACO-SMARTER Algorithms in Solving the Traveling Salesman Problem where the problem to be solved is the traveling salesman problem (TSP). The purpose of this study is to hopefully be able to provide a comparison result of running time and the shortest distance between the ACO-TS algorithm and the ACO-SMARTER algorithm in solving the TSP. The test results show that the combination of the Ant Colony Optimization (ACO) algorithm and the Tabu Search (TS) algorithm is better in terms of achieving the optimum path and running time than the ACO and ACO-SMARTER algorithms in solving the Traveling Salesman Problem. The Tabu Search algorithm in the ACO algorithm acts as a controller for the routes that have been selected so that they are not processed again by the same ant. This will certainly make the ACO-TS algorithm faster in processing data because there is no data on the same route in the next round, where from 200 datasets the running time is obtained at ACO 11.5 seconds and the optimum distance is 76687, ACO SMARTER 8.5 seconds and the optimum distance is 74496 while the ACO-TS only takes 2.9 seconds and the optimum distance is 70558]]>
<![CDATA[Pengembangan Infrastruktur Jaringan Untuk Meningkatkan Pelayanan Publik di Kota Palembang ]]>
<![CDATA[Darius Antoni]]>;
<![CDATA[Muhammad Izman Herdiansyah]]>;
<![CDATA[Muhamad Akbar]]>;
<![CDATA[Agus Sumitro]]>
<![CDATA[ JURNAL MEDIA INFORMATIKA BUDIDARMA Vol 5, No 4 (2021): Oktober 2021 ]]>
Publisher : <![CDATA[STMIK Budi Darma ]]>
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DOI: 10.30865/mib.v5i4.3318
<![CDATA[Technological advances will always develop following the progress of science. Internet technology has a great influence in every aspect, especially in the implementation of the service function of the Government to every citizen in need. The Publik Service Sector deals with communities in need with the government as a service-providing institution. The government is required to be able to keep up with the development of technology in service to the community more effectively, efficiently, quickly and accurately. With the internet network technology can be used to build an electronic-based government service system or E-Government. The use of information technology can change the pattern of publik services in reducing corruption, financial transparency, convenience of services and increasing revenue in each region. However, each region with its own geographical conditions of course there are still people in the lower middle class or the poor who have not been able to access publik services of their government, So in this thesis, researchers are interested in developing network infrastructure design so that people in villages or villages, especially RT who have minimal access, can enjoy publik services in Palembang City]]>
<![CDATA[Penerapan Logika Fuzzy Menggunakan Metode Mamdani Pada Prediksi Jumlah Kasus Positif Covid-19 ]]>
<![CDATA[Graha Prakarsa]]>;
<![CDATA[Vani Maharani Nasution]]>
<![CDATA[ JURNAL MEDIA INFORMATIKA BUDIDARMA Vol 5, No 4 (2021): Oktober 2021 ]]>
Publisher : <![CDATA[STMIK Budi Darma ]]>
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DOI: 10.30865/mib.v5i4.3282
<![CDATA[The Covid-19 pandemic has caused many hospitals around the world to experience difficulties both in terms of management and infrastructure advice in providing services because the number of patients soared in a short time so that treatments such as providing services, facilities, and medical personnel were unpredictable. Therefore, we need an application that can predict the number of positive Covid-19 cases 14 days later to help the Covid-19 Handling Acceleration Task Force team in order to provide the right policies for handling the provision of services, facilities, and medical personnel. Fuzzy logic that can be used to analyze Covid-19 problems that contain uncertainty at this time. The research conducted to design the system was obtained from the observation of existing data, in this study using descriptive research methods. The results of this study conclude that the fuzzy logic of the Mamdani method in predicting the number of positive cases of COVID-19 in West Java Province has an error rate of 50.16%. The application of fuzzy logic in predicting the number of positive cases of covid-19 uses the fuzzy logic model of the mamdani method to predict the number of positive cases of covid-19 in West Java Province with an error rate of 50.16%]]>
<![CDATA[Kombinasi 3D Convolutional Neural Network Dalam Klasifikasi Citra Hiperspektral Pada Tutupan Lahan ]]>
<![CDATA[Yesinta Florensia]]>;
<![CDATA[Saparudin Saparudin]]>;
<![CDATA[Samsuryadi Samsuryadi]]>
<![CDATA[ JURNAL MEDIA INFORMATIKA BUDIDARMA Vol 5, No 4 (2021): Oktober 2021 ]]>
Publisher : <![CDATA[STMIK Budi Darma ]]>
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DOI: 10.30865/mib.v5i4.3183
<![CDATA[Land cover information is one of the basic variables in determining phenomena on the earth's surface as well as a measuring variable for the development of an area. Land cover with hyperspectral imagery can provide accurate information on the earth's surface. Limited labeled samples and imbalances data are common in land cover hyperspectral image classification. However, the data that available publicly is very limited makes it difficult to evaluate the performance of existing algorithms. Various methods were developed with several public datasets using as few training samples as possible to produce a method that is robust against sample limitations and imbalances data, but these studies have complicated parameters and the accuracy results are not optimal. In this study, several combination of Multiple Spectral Resolution (MSR), 3D Spectral Dilated Convolution (SDC) and Hybrid Convolutional Neural Network (HybridSN) were carried out to increase accuracy in hyperspectral image classification with very small training samples and simpler parameters and computations. This method was tested on two public datasets Indian Pines (IP) and Salinas (SA) with 5% and 1% training data respectively (only 500 training samples) and showed high accuracy results in land cover hyperspectral image classification. The best results were obtained with a combination of SDC and HybridSN methods which were optimized with Adam with 96.58% % Overal Accuracy (OA), 87.83% Average Accuracy (AA) and 96.09% kappa on the IP dataset, and 99.08% Average Accuracy (AA), 99.00% kappa on the SA dataset]]>
<![CDATA[Penerapan Metode Simple Additive Weighting (SAW) dalam Pemberian Reward Bagi Pegawai Honorer Menggunakan Pembobotan Rank Order Centroid ]]>
<![CDATA[Tongam Panggabean]]>;
<![CDATA[Mesran Mesran]]>;
<![CDATA[Yessika Floriana Manalu]]>
<![CDATA[ JURNAL MEDIA INFORMATIKA BUDIDARMA Vol 5, No 4 (2021): Oktober 2021 ]]>
Publisher : <![CDATA[STMIK Budi Darma ]]>
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DOI: 10.30865/mib.v5i4.3146
<![CDATA[Giving rewards to employees is one way to increase morale and improve performance for employees who excel. At the District Financial and Asset Management Agency. Deli Serdang in selecting the best employees, the workload cannot be used as the only reference for the awarding of these rewards. However, there are several criteria that are also considered in giving rewards. So we need a decision support system to help the selection of the best employees. In this study, the Simple Additive Weighting (SAW) method was chosen which was carried out by giving weighting to each criterion that was assessed per individual employee using the Rank Order Centroid (ROC) method. The criteria that are also assessed in this study are workload, attendance, discipline and work ethic of employees. Later, 3 employees who get the best score will be entitled to a reward.]]>
<![CDATA[Penerapan Apriori Hybrid Pada Transaksi Penjualan Barang ]]>
<![CDATA[I Made Dwi Putra Asana]]>;
<![CDATA[Ni Luh Wiwik Sri Rahayu Ginantra]]>;
<![CDATA[Wayan Gede Suka Parwita]]>;
<![CDATA[Ni Kadek Bumi Krismentari]]>;
<![CDATA[Ni Putu Suci Meinarni]]>
<![CDATA[ JURNAL MEDIA INFORMATIKA BUDIDARMA Vol 5, No 4 (2021): Oktober 2021 ]]>
Publisher : <![CDATA[STMIK Budi Darma ]]>
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DOI: 10.30865/mib.v5i4.3350
<![CDATA[Ayu Nadi Swalayan is a retail company that produces a lot of every day sales transaction data, and it is stored for years without knowing the benefits and the placement of the goods is still random. From these problems, an effort is needed to process the data so the data is useful in the future. One of the process is using data mining techniques with apriori hybrid algorithm to find association rules for an items combination. Data product sale in a certain period is used to find the association rules. The results of this study are the development of applications that are used to determine consumer spending habits. So that the company can develop a strategy to promote the product sale and close placement for items that are often purchased together. The application testing found the effect of minimum support, minimum confidence on the number of rules, and lift ratio testing. The smaller the minimum support and minimum confidence, the more rules are generated and vice versa. The lift ratio value is directly proportional to the minimum confidence value and inversely proportional to the minimum support value. The higher the minimum confidence value, the higher the lift ratio value and vice versa. The more items in the transaction cause the minimum support threshold to be lowered in order to generate rules for the data analysis process with the hybrid apriori algorithm]]>
<![CDATA[Analisa Penerapan Metode Operational Competitiveness Rating Analysis (OCRA) dan Metode Multi Attribute Utility Theory (MAUT) Dalam Pemilihan Calon Karyawan Tetap Menerapkan Pembobotan Rank Order Centroid (ROC) ]]>
<![CDATA[Abdul Karim]]>;
<![CDATA[Shinta Esabella]]>;
<![CDATA[Kusmanto Kusmanto]]>;
<![CDATA[Mesran Mesran]]>;
<![CDATA[Uswatun Hasanah]]>
<![CDATA[ JURNAL MEDIA INFORMATIKA BUDIDARMA Vol 5, No 4 (2021): Oktober 2021 ]]>
Publisher : <![CDATA[STMIK Budi Darma ]]>
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DOI: 10.30865/mib.v5i4.3265
<![CDATA[For companies, employees are an important aspect that must be supported by quality human resources. In the selection of permanent employees, usually the leadership in a company conducts an objective selection process in accordance with predetermined criteria. However, leaders often face several problems in this process, such as the selection is carried out in stages so that it takes a long time and the assessment of prospective employees is still done manually, making mistakes often occur. Therefore, a decision support system is needed as a solution to these problems by applying a comparison of the Operational Competitiveness Rating Analysis (OCRA) method and the Multi Attribute Utility Theory (MAUT) method and the weighting obtained by the Rank Order Centroid (ROC) method. The test results obtained the best alternative that is considered feasible as a permanent employee is in the same alternative, namely A5 on behalf of Risa Sabrani. The OCRA method produces the best preference value of 1.56 while the MAUT method produces the best preference value of 0.456 as the first rank]]>
<![CDATA[Sistem Pendukung Keputusan Penerima Bantuan Pangan Non Tunai Masyarakat Pada Kelurahan Dulalowo Timur Kota Gorontalo Menerapkan Metode Weight Aggregated Sum Product Assesment ]]>
<![CDATA[Karim, Jorry]]>;
<![CDATA[Puspa, Misrawati Aprilyana]]>;
<![CDATA[Kasim, Rachmat]]>
<![CDATA[ JURNAL MEDIA INFORMATIKA BUDIDARMA Vol 5, No 4 (2021): Oktober 2021 ]]>
Publisher : <![CDATA[STMIK Budi Darma ]]>
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DOI: 10.30865/mib.v5i4.3269
<![CDATA[Bantuan yang dikelola oleh Kementrian Sosial tetapi dalam penseleksian penerima Bantuan Pangan Non Tunai (BPNT) ini, biasanya dilakukan oleh setiap Kelurahan. Kelurahan yang menjadi objek penelitian yaitu pada Kelurahan Dulalowo Timur. Pengolahan data untuk keluarga penerima manfaat BPNT saat ini belum terkomputerisasi sehingga pengambilan keputusan penerima manfaat tidak efektif dan efisien. Saat ini Total KPM (Keluarga Penerima Manfaat) di Kelurahan Dulalowo Timur 3 tahun terakhir berjumlah 423 KPM dengan rincian tahun 2018 sampai dengan tahun 2020 masing – masing sebanyak 141 KPM. Salah satu teknik pengambilan keputusan yang digunakan dalam analisis kebijakan adalah metode Weighted Aggregated Sum Product Assessment (WASPAS), sehingga diharapkan dengan adanya system pengambilan keputusan dengan menggunakan metode ini. Metode yang di gunakan dalam penelitian adalah metode Research and Development atau lebih dikenal dengan istilah metode Penelitian dan Pengembangan. Pada metode ini mendefinisikan sebagai metode penelitian yang digunakan dalam menghasilkan produk tertentu serta menguji keefektifan produk tersebut. Berdasarkan hasil pengujian Whitebox dan Blackbox dapat disimpulkan bahwa flowchart ini berjalan efektif dan efisien dan memperoleh hasil yang sesuai.]]>
<![CDATA[Pengembangan Teknologi E-Commerce dengan Menerapkan Metode CRM dan Forecasting ]]>
<![CDATA[Norman Norman]]>;
<![CDATA[Depi Rusda]]>
<![CDATA[ JURNAL MEDIA INFORMATIKA BUDIDARMA Vol 5, No 4 (2021): Oktober 2021 ]]>
Publisher : <![CDATA[STMIK Budi Darma ]]>
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DOI: 10.30865/mib.v5i4.3291
<![CDATA[The development of e-commerce technology is a sales process that is carried out online which can make it easier to sell without having to come to the store directly. Dalwa Zain Collection store which is a clothing store that sells Muslim and Muslim clothing for men and women. This e-commerce sales system will be applied to the Dalwa Zain Collection store to make it easier for shop owners to make transactions and also make it easier for consumers at the purchase stage without having to go to the shop. In this e-commerce system, there are two methods, namely to apply the forecasting method to carry out the annual forecasting stage at the Dalwa Zain Collection store and to apply the CRM (Customer Relationship Management) method as the application of discounts on clothing in the Dalwa Zain Collection store. This is the stage of the process that will be carried out so that the Dalwa Zain Collection store can see its sales from year to year and also make the discount that will be set can be helped to overcome quickly.]]>
<![CDATA[Perbandingan Algoritma Random Forest Classifier, Support Vector Machine dan Logistic Regression Clasifier Pada Masalah High Dimension (Studi Kasus: Klasifikasi Fake News) ]]>
<![CDATA[Willy, Willy]]>;
<![CDATA[Rini, Dian Palupi]]>;
<![CDATA[Samsuryadi, Samsuryadi]]>
<![CDATA[ JURNAL MEDIA INFORMATIKA BUDIDARMA Vol 5, No 4 (2021): Oktober 2021 ]]>
Publisher : <![CDATA[STMIK Budi Darma ]]>
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DOI: 10.30865/mib.v5i4.3177
<![CDATA[Fake news is false information that looks like it is true. News can also be said as a political weapon whose truth cannot be accounted for which is spread intentionally to achieve a certain goal. Classification of news texts requires calculating a method for each word in the document. Each word processed per document means that the number of data dimensions is equal to the number of words. The more the number of words in a document, the more the number of dimensions in each data (high dimension). The large number of dimensions (high dimension), causes the model-making process (training) to be long and the shortcomings are also clearly visible in seeing the similarity of documents (document similarity). The dataset used in this study amounted to 20000 and 17 attributes. The method used in this study uses a Random Forest Classifier (RFC), Support Vector Machine (SVM) and Logistic Regression (LR) with high dimensions and the results of this study are to obtain a comparison of the accuracy values for each method used]]>
