35 research outputs found
Pengembangan Antivirus Songket Untuk Virus H1N1 Dengan Metode Behavior Blocking Detection
Get PDFSeiring dengan pesatnya perkembangan penggunaan komputer sebagai alat bantu manusia di berbagai bidang kehidupan, virus di sisi lain merupakan ancaman bagi keamanan sistem komputer yang sudah tidak asing lagi. Untuk mengatasi masalah virus dibuatlah suatu aplikasi yang disebut antivirus. Sesuai dengan namanya, program antivirus mampu mendeteksi dan mencegah akses ke dokumen yang terinfeksi dan juga mampu menghilangkan infeksi yang terjadi, karena virus bukanlah sesuatu yang terjadi karena kecelakaan ataupun kelemahan perangkat komputer, melainkan merupakan hasil rancangan intelegensia manusia setelah melalui berbagai percobaan terlebih dahulu layaknya eksperimen – eksperimen ilmiah di dalam bidang lainnya. Aplikasi Antivirus Songket ini menggunakan metode Behavior Blocking Detection, yang menggunakan kebijakan yang harus diterapkan untuk mendeteksi keberadaan sebuah virus. Aplikasi ini dianalisa menggunakan state data diagram, dirancang menggunakan Model Sekuensial Linear dandiimplementasikan menggunakan bahasa pemrograman Visual Basic 6.0. Aplikasi Antivirus Songket ini diharapkan mampu memperkenalkan kebudayaan Palembang serta memberikan pengamanan pada sistem komputer
PENGEMBANGAN BRANDING DAN PEMASARAN INDUSTRI RUMAH TANGGA PEMPEK “HAPPY†DI KOTA PALEMBANG
Get PDFPempek adalah kuliner khas/tradisional yang bahan utamanya berasal dari ikan giling dan paling banyak dibuat oleh Industri Rumah Tangga (Mikro), Kecil dan Menengah (UMKM) di Kota Palembang. Program Pengabdian kepada Masyarakat ini dilakukan pada Industri Rumah Tangga pempek Happy yang memiliki potensi brand (merk) yang dapat dikembangkan tetapi mitra kurang perhatian terhadap merk sehingga produk mitra menjadi lambat dikenal masyarakat umum. Selain itu, masalah klasik dari industri mikro adalah lingkup pemasaran produk yang terbatas. Oleh karena itu, program pendampingan diperlukan untuk meningkatkan brand awareness (kesadaran merk) dan brand equity (kekuatan merk) dari mitra sasaran dengan menerapkan strategi pemasaran branding development melalui desain label (merk) dan pemasaran digital agar branding mitra dikenal masyarakat secara luas sehingga omset penjualan pempek dapat meningkat dan mitra dapat mempertahankan kelangsungan usahanya. Hasil pelaksanaan program Pengabdian kepada Masyarakat ini ialah peningkatan pengetahuan mitra tentang branding development, peningkatan ketrampilan mitra menggunakan marketplace untuk pemasaran digital, dan peluasan jangkauan pemasaran mitra. Kata kunci: branding, kuliner, merk, pemasaran, pempe
The Housing Recommendation System Uses Multi-Criteria Decision-Making Methods
Get PDFEconomic and population growth, increasing urbanization, changing habits, new welfare requirements, and lower interest rates have led to increased demand for housing in cities. However, housing conditions in many cities are slightly alarming, while housing is a primary need for the community. Selecting housing for low-income people (LIP) that meets the criteria required by LIP is not an easy task. Because most of the decisions people made did not utilize detailed information. Therefore, a recommendation system for LIP is required. This study aims to develop the housing selection recommendation system for LIP that best suits their wishes. This study integrated two multi-criteria decision-making (MCDM) methods: the Best Worst (BW) method, which has fewer pairwise comparisons compared to other MCDM methods for selecting criteria and the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) method for determining housing recommendations for LIP according to their wishes. Based on the analysis results, ten criteria dominate the housing selection for LIP sequentially: Location, Land Size, Down Payment, Public Facilities, Price, Booking Fee, Home Design, House Specifications, House Quality, and Home Ownership Credit. Furthermore, the sensitivity analysis results showed that the robustness score of this approach was high. The model could recommend housing for LIP that best suits their wishes
Marketing Strategy Using Frequent Pattern Growth
Get PDFThe biggest problem faced by printing companies during the Covid-19 pandemic was that the number of orders was unstable and tends to decrease, which had the potential to harm the company. Therefore, various appropriate marketing strategies were needed so that the number of product orders was relatively stable and even increases. The impact was that the company could survive and continued to grow. This study aimed to assist company managers in developing appropriate marketing strategies based on association rules generated from one of the data mining methods, namely the Frequent Pattern Growth (FP-Growth) method. The case study of this research was a printing company where there was no similar research that used a printing company's dataset. This study produced nine association rules that meet a minimum of 25% support and a minimum of 60% confidence, but only two association rules that had a high positive correlation, namely for a custom paper bag and banner products. Therefore, several marketing strategies were suggested that could be used as guidelines for companies in managing sales packages and giving special discounts on a product. The results of this study are expected to trigger an increase in the number of product orders because this study tried to find the right product for consumers and did not try to find the right consumers for a product
PENGARUH WISATAWAN MANCANEGARA TERHADAP JUMLAH HUNIAN HOTEL DI KOTA PALEMBANG MENGGUNAKAN REGRESI LINEAR
Get PDFThe purpose of this study is to determine how much influence of foreign tourists on the number of hotel occupancy in the city of Palembang. Based on data that has been taken and tested using Linear Regression method, Respondents are taken from the number of foreign tourists coming to Palembang city (X) and the number of hotel visitors in Palembang (Y), from January to August in 2016. Meaning the influence of foreign tourists to the number of hotel occupancy in the city of Palembang is equal to 21.48%. The rest 79.62% Caused by other factors not included in the model. Y = Subject in predicted dependent variable, X = Subject to independent variable having certain value. a = Parameter intercept, b = Parameter coefficient regression independent variable. When the correlation coefficient is high, then the price of b is also great, otherwise when the negative correlation coefficient then the price b is also negative. Thus, if X = parameter (eg: 848), a = 140.4 and parameter b = 0.28 then the result is 377.4. Keywords :Linier regression, Foreign tourists, Touris
APLIKASI PENGENALAN ANATOMI SISTEM PENCERNAAN PADA TUBUH MANUSIA MENGGUNAKAN TEKNOLOGI AUGMENTED REALITY
Get PDFNatural Sciences (IPA) is a science related to human endeavors in understanding and finding out about the universe through precise observations and using procedures that can be explained by reasoning so as to get a clear conclusion. There are 5 main branches in Natural Sciences, namely Astronomy, Biology, Chemistry, Earth Sciences, and Physics. Science learning should be able to provide direct experience so as to increase the ability to understand and apply the concepts that have been learned. Anatomy is a branch of biology that deals with the structure of living things, in the anatomy of the human body, there are organs that support the formation of the body as a whole. The organs of the body such as bones, joints, skeletal muscles, brain, digestive system, and circulatory system and other organs. The digestive system is a process of mechanically and chemically breaking food into a form that is easier for the body to absorb. interactively in real time. The existence of technology in the form of Augmented Reality will facilitate the process of introducing information and displaying Anatomy Learning objects. This research aims to introduce anatomy to a digestive system in the human body using Augmented Reality technology which can facilitate students in the learning process. The software development method used to design and implement traditional musical instrument recognition applications is the Rational Unified Process method. Application testing is carried out using black-box testing and user testing. User testing was carried out by distributing questionnaires at SMP Negeri 2 Pedamaran Timur. Testing user satisfaction is calculated using a Likert scale and the results of questionnaire questions which can have a final score of 87% which is included in the strongly agree categor
PEMBANGUNAN M-BEKAM BERBASIS SISTEM PAKAR
Get PDFCupping is a detoxification therapy or methods of treatment by removing oxidants from the body through certain points on the surface of the epidermis. Currently, in Western countries (Europe and America) conducted scientific research seriously and continuously to reveal the scientific facts, how the magic of cupping to cure various diseases more safely and effectively than the methods of modern medicine. This is the consideration for making an expert system cupping method. This expert system uses backward chaining method to determine the points of cupping treatment which is implemented on a mobile device based on Android, so this application has the potential to be accessed anytime and anywhere by experts bruise or community. The use of expert systems on cupping method is expected to solve the problem of health according to the knowledge base that are known by experts bruise and also in accordance with the Sunnah of the Prophet Muhammad SAW
Clustering optimization in RFM analysis based on k-means
Get PDFRFM stands for Recency, Frequency, and Monetary. RFM is a simple but effective method that can be applied to market segmentation. RFM analysis is used to analyze customer’s behavior which consists of how recently the customers have purchased (recency), how often customer’s purchases (frequency), and how much money customers spend (monetary). In this study, RFM analysis has been used for product segmentation is to be arrayed in terms of recent sales (R), frequent sales (F), and the total money spent (M) using the data mining method. This study has proposed a new procedure for RFM analysis (in product segmentation) using the k-Means method and eight indexes of validity to determine the optimal number of clusters namely Elbow Method, Silhouette Index, Calinski-Harabasz Index, Davies-Bouldin Index, Ratkowski Index, Hubert Index, Ball-Hall Index, and Krzanowski-Lai Index, which can improve the objectivity and similarity of data in product segmentation so that it can improve the accuracy of the stock management process. The evaluation results showed that the optimal number of clusters for the k-Means method applied in the RFM analysis consists of three clusters (segmentation) with a variance value of 0.19113
Analisis Pengaruh Jumlah Penduduk terhadap Jumlah Kemiskinan Menggunakan Metode Regresi Linear di Kota Palembang
Get PDFAbstractThis paper aims to convey the development of the effect of the population on the number of poverty in the city of Palembang from 2010 to 2015.There is no accurate calculation made to determine the number of poor people in Indonesia, always with controversy because each calculation uses different criteria.This differentiation is based on its causing factors to allow specific alleviation policy implication. The cause of such poverty, in general, is that the poor people have no capacity and capability to access economic sources. This analysis is done using simple linear regression method, population level (X) and poverty (Y) in Palembang city year 2010 - 2015. From the data, it can be concluded that the variable of Population (X) has negative influence to the variable Number of Poverty (Y) in Palembang City. Simultaneously, the number of population has an effect on the amount of poverty in the city of Palembang by 0,398%, while -14,045% and the rest influenced by the variable outside of studied.Keyword : Poor people, Regression, Causes Of PovertyAbstrakJurnal ini bertujuan menggambarkan pengembangan pengaruh populasi pada jumlah kemiskinan di kota Palembang dari tahun 2010 sampai tahun 2015. Tidak ada penghitungan yang akurat yang telah dibuat untuk menentukan jumlah orang miskin di Indonesia, selalu muncul kontroversi karena setiap penghitungan memiliki kriteria tersendiri. Perbedaan ini didasarkan pada faktor penyebab yang berdampak pada implikasi politik. Penyebab kemisikinan, umumnya adalah bahwa orang-orang miskin tidak memiliki kapasitas untuk memasuki sumber ekonomi. Analisis dilakukan dengan menggunakan metode regresi linier sederhana, tingkat populasi (X) dan kemiskinan (Y) di kota Palembang tahun 2010-2015. Dari data disimpulkan bahwa variabel jumlah populasi (X) memiliki pengaruh negatif pada variabel jumlah kemiskinan di kota Palembang. Secara simultan, jumlah populasi memiliki pengaruh pada jumlah kemiskinan di kota Palembang yaitu 0,398%, sedangkan -14,045% dan sisanya dipengaruhi oleh variabel diluar studi ini.Kata kunci : Orang miskin, Regresi, Penyebab Kemiskina
Analisis Pengaruh Faktor Kebutuhan Energi Listrik Tahun 2015 Terhadap Daya Yang Tersambung Dan Energi Yang Terjual Menggunakan Regresi Linear Sederhana (Studi Kasus Pada PT. PLN (Persero) Unit Area Pelayanan Dan Jaringan (APJ) Palembang)
Get PDFAbstractThe availability of electrical energy is a very important aspect and even become a parameter to support the successful development of a region. Proper management of electrical energy resources and directed clearly will make the potential possessed of an area developed and utilized optimally. Population growth and economic development of a region can be influenced by the use of electrical energy. The supply of electricity must be taken into account so that the electrical energy can be available in an amount that suits your needs. Demand for the use of electricity in Indonesia will always increase with economic growth in addition to the development of electrical energy is also influenced by the development of the population in terms of quantity of customers to be electricity. Predicting methods such as using time series method (Gustriansyah, 2017) or data mining methods. The purpose of this research is to know how to overcome the influence of electricity usage (VA) connected with electric energy sold (KWh). Research done by simple linear regression method to facilitate writer in processing data. Based on the calculation result using simple linear regression method can be concluded 99.2% of the variation of electric power connected can be explained by the variable amount of electrical energy sold. While the rest (100% - 99.2% = 0.8%) is explained by other causes. And the level of significance <0.05 so that the regression model can be used to predict the electrical energy sold.Keywords : Linear regression, analysis, electrical energy AbstrakKetersediaan energi listrik merupakan aspek yang sangat penting dan bahkan menjadi suatu parameter untuk mendukung keberhasilan pembangunan suatu daerah. Pengelolaan sumber daya energi listrik yang tepat dan terarah dengan jelas akan menjadikan potensi yang dimiliki suatu wilayah berkembang dan termanfaatkan secara optimal. Pertumbuhan populasi dan perkembangan ekonomi suatu wilayah dapat dipengaruhi penggunaan energi listrik. Penyediaan listrik harus diperhitungkan sehingga energi listrik dapat tersedia dalam jumlah yang sesuai dengan kebutuhan Anda. Permintaan untuk penggunaan energi listrik di Indonesia akan selalu meningkat dengan pertumbuhan ekonomi disamping pengembangan energi listrik juga dipengaruhi oleh perkembangan populasi dalam hal kuantitas pelanggan yang akan dialiri listrik. Metode untuk memprediksi seperti menggunakan metode time series (Gustriansyah, 2017) atau metode data mining. Adapun tujuan dari penelitian ini adalah untuk mengetahui bagaimana cara mengatasi pengaruh penggunaan tenaga listrik (VA) yang terhubung dengan energi listrik yang terjual (KWh). Penelitian dilakukan dengan metode regresi linier sederhana agar memudahkan penulis dalam mengolah data. Berdasarkan hasil perhitungan menggunakan metode regresi linier sederhana dapat disimpulkan sebesar 99,2% dari variasi daya listrik yang terhubung dapat dijelaskan oleh variabel jumlah energi listrik yang terjual. Sedangkan sisanya (100% - 99,2% = 0,8%) dijelaskan oleh penyebab lain. Dan tingkat signifikansi <0,05 sehingga model regresi dapat digunakan untuk memprediksi energi listrik yang terjual.Kata kunci: Regresi linier, analisis, energi listri
