Articles
<![CDATA[Peramalan Penjualan Pupuk Menggunakan Metode Trend Moment ]]>
<![CDATA[Ulfa, Ulia]]>;
<![CDATA[Sumijan]]>;
<![CDATA[Nurcahyo, Gunadi Widi]]>
<![CDATA[ Jurnal Informatika Ekonomi Bisnis Vol. 1, No. 4 (December 2019) ]]>
Publisher : <![CDATA[SAFE-Network ]]>
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DOI: 10.37034/infeb.v1i4.4
<![CDATA[Aneka Tani Mandiri Trade Unit is a fertilizer sales shop in the city of Padang. From year to year sales of fertilizers in UD. Aneka Tani Mandiri experiences fluctuations where it is difficult to predict sales increases and decreases every month. The problem that most often occurs in this store is often experiencing shortages and excess stock of goods, this is very likely to occur because many of its items are not sold out and many items are needed by consumers but insufficient stock of goods. Another result is that the profits from the store should be more reduced, with this problem the store must be able to predict how many items will be sold and how many items must be provided in the following month, by knowing the number of items to be sold, the deficiency or excess stock of goods can be avoided. So for that the research was conducted using the Trend Moment Method to predict and predict fertilizer stock that will be provided for the following month. So that will increase sales turnover of the store. By building a fertilizer sales forecasting system using the Trend Moment method which is assisted by the PHP and MySQL programming languages can produce ZA fertilizer sales predictions with success rates above 75%.]]>
<![CDATA[Prediksi Pendapatan Terbesar pada Penjualan Produk Cat dengan Menggunakan Metode Monte Carlo ]]>
<![CDATA[Geni, Bias Yulisa]]>;
<![CDATA[Santony, Julius]]>;
<![CDATA[Sumijan]]>
<![CDATA[ Jurnal Informatika Ekonomi Bisnis Vol. 1, No. 4 (December 2019) ]]>
Publisher : <![CDATA[SAFE-Network ]]>
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DOI: 10.37034/infeb.v1i4.5
<![CDATA[Completing cat products in meeting consumer demand is something that must be addressed. Sales are very important for sales. The amount of demand for goods increases, it will get a large income. The purpose of this study is to predict the sales revenue of paint products at UD. Masdi Related, makes it easy for the leadership of the company to find out the amount of money obtained quickly. This research also makes it easy for companies to take business strategies quickly and optimally. The data used in this research is the data of paint product sales for January 2016 to December 2018 which is processed using the Monte carlo method. Income prediction will be done every year. In addition to predicting revenue, the sales data is also used to predict product demand every year. To predict the sales of paint products using the Monte Carlo method. The results of this study can predict sales revenue of paint products very well. Based on the results of tests conducted on the system used to predict sales revenue of cat products with an average rating of 89%. With a fairly high degree of accuracy, the application of the Monte Carlo method can be estimated to make an estimate of the income and demand for each paint product every year. Necessary, will facilitate the leadership to choose the right business strategy to increase sales of cat product sales.]]>
<![CDATA[Simulasi Monte Carlo dalam Memprediksi Disribusi Kopi Starbuck ]]>
<![CDATA[Irawan, Dedi]]>;
<![CDATA[Sumijan]]>;
<![CDATA[Nurcahyo , Gunadi Widi]]>
<![CDATA[ Jurnal Informatika Ekonomi Bisnis Vol. 2, No. 3 (September 2020) ]]>
Publisher : <![CDATA[SAFE-Network ]]>
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DOI: 10.37034/infeb.vi0.46
<![CDATA[Distributing and marketing Starbuck coffee is a very important part of the company PT Vision Logistik Transindo in increasing a profit. Starbuck is a company originating from the United States headquartered in Seattle, Washington, and already has the world's largest coffee shop with 20,336 stores in 61 countries, including Indonesia. In distribution management it is very necessary to determine the Starbuck coffee needed, so that customer demand can be fulfilled. This study conducted data on Starbucks coffee distribution from 2017 to 2019. The data processing in this case uses the Monte Carlo algorithm to predict the distribution of Starbuck coffee. In accelerating data processing, this study applies a Web-based program with the PHP programming language (Hypertext Processor). The result of the test is to get the predicted results of Starbuck coffee with an accuracy level of 90%. So that the results obtained can help the company PT.Vision Logistik Transindo in increasing distribution in the coming year.]]>
<![CDATA[Simulasi Algoritma Monte Carlo dalam Memprediksi Pendapatan Penjualan Produk Kalsium Tiens Syariah ]]>
<![CDATA[Yani, Zulfitri]]>;
<![CDATA[Sumijan]]>
<![CDATA[ Jurnal Informatika Ekonomi Bisnis Vol. 3, No. 1 (March 2021) ]]>
Publisher : <![CDATA[SAFE-Network ]]>
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DOI: 10.37034/infeb.v3i1.58
<![CDATA[In meeting consumer needs, the availability of calcium products is a problem that needs attention. Items that are often sold will be the largest stock, so that the demand for finished goods is met and income will also increase. This study aims to predict the level of sales revenue for calcium products at stokies tiens 872, in determining which products will be provided for the following year. The data to be used is the sales data for calcium products from 2018 to 2019. Data processing is carried out using the Monte Carlo algorithm, then the data is processed and generated using random numbers taken randomly, after which it is converted or changed in the form of distribution with use simulation techniques to get the results. The results obtained in predicting the income level of sales of calcium products, by making comparisons with the sales data that were sold, namely Nutrient High Calcum Powder that existed in 2018, with simulation results in 2018 with a data accuracy rate of 91%, with the number of calcium products. as many as 1367 products. Then the data in 2019 with simulation results in 2019 with a data accuracy rate of 93% with the number of calcium products as many as 1667 products. With the resulting level of accuracy in the study, the monte carlo simulation can help the stockies predict sales revenue based on processed data, so that this study is able to predict the level of income for the following year.]]>
<![CDATA[Simulasi Monte Carlo dalam Mengidentifikasi Peningkatan Penjualan Tanaman Mawar ]]>
<![CDATA[Dewi, Dian Cyntia]]>;
<![CDATA[Sumijan]]>
<![CDATA[ Jurnal Informatika Ekonomi Bisnis Vol. 3, No. 2 (June 2021) ]]>
Publisher : <![CDATA[SAFE-Network ]]>
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DOI: 10.37034/infeb.v3i2.67
<![CDATA[Roses are one of the most popular types of plants in the community. The sale of roses at the flower shop of 5 siblings is increasingly in demand. Identifying the increase in sales is important in analyzing sales progress. At the present time the seller can only see a manual increase in sales that are most in demand. This study aims to determine predictions of the increase in sales of rose flowers with a monte carlo simulation accurately and accurately. The data that will be processed in this study in the last 2 years, namely 2018 and 2019, rose plants obtained at the 5 Brothers Flower Shop in Solok City. There are several types of roses in the predicted sales level. Then the data will be converted into the probability distribution into cumulative frequency and followed by generating random numbers so that they can determine random numbers. Next, we will group the boundary intervals of the random numbers that have been obtained and continue with the simulation process so that the simulation results and percentage accuracy are obtained using the Monte Carlo method. The results of this study on data processing from 2019 to 2020 have an accuracy of 90%. So this research is very appropriate in identifying the increase in sales for the following year. The design of this system determines the amount of increased sales of goods using the monte carlo method in a flower shop of 5 siblings. Monte Carlo simulations can be used to identify specific sales increases. The results obtained are quite accurate using the Monte Carlo method.]]>
<![CDATA[Sistem Penunjang Keputusan dalam Penentuan Prioritas Pembanguanan Menggunakan Metode Trus Base dengan Topsis ]]>
<![CDATA[Aktavera, Beni]]>;
<![CDATA[Sumijan]]>
<![CDATA[ Jurnal Informatika Ekonomi Bisnis Vol. 2, No. 4 (December 2020) ]]>
Publisher : <![CDATA[SAFE-Network ]]>
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DOI: 10.37034/infeb.v2i4.76
<![CDATA[Village communities need empowerment in order to develop community welfare and independence to increase attitudes, knowledge, behavior, skills, and priority needs of the village community, including development. villages must be done well in an effort to community village. Village development has an context. Research is to assist Merangin district in making decisions to determine priorities for sub-district development, Merangin Regency which refers to the Regional Long-Term Development Plan (RPJPD). 2018-2019 and 2020 budgets while the decision-making method to solve existing problems is to use increased public participation using a trust-based (trust-based). With the TOPSIS (Technique For Others Preference by Similarity to Ideal Solution) method. With the method to be used, this system can provide information in the form of proposals which are prioritized to be implemented which are aligned with the Regional Long-term Development Plan (RPJPD) and the National Medium Term Development Plan (RPJMN) so that village development can be carried out properly, the TOPSIS method used was able to overcome the weaknesses in the old system and gave 90% accurate results in determining the development priorities of Merangin Regency using the method TOPSIS, and the application of the topsis method for this system could contribute to the results of ranking alternative development priorities in Kab. Merangin to the maximum.]]>
<![CDATA[Metode Ekstraksi Fitur Canny, GLCM dan Segmentasi Warna Menggunakan K-Means Clustering Dalam Peningkatan Motif Batik ]]>
<![CDATA[Zain, Ruri Hartika]]>;
<![CDATA[Sumijan]]>
<![CDATA[ The Indonesian Journal of Computer Science Vol. 13 No. 6 (2024): The Indonesian Journal of Computer Science (IJCS) ]]>
Publisher : <![CDATA[AI Society & STMIK Indonesia ]]>
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DOI: 10.33022/ijcs.v13i6.4514
<![CDATA[Batik merupakan salah satu hasil seni budaya Indonesia berupa kain cetak yang dibuat dengan teknik tertentu. Motif motif bunga melambangkan keindahan dan kebahagiaan. Peneliti mengusulkan metode ekstraksi fitur Canny, GLCM dan segmentasi warna menggunakan k-means clustering dalam peningkatan motif batik. Dengan mengekstraksi fitur dari citra batik yang sudah ada, dapat dihasilkan citra batik dengan motif warna yang lebih banyak. Terlihat dari motif batik yang memiliki tekstur, tekstur dapat dijadikan sebagai salah satu unsur pembeda batik satu dengan yang lain. Penelitian ini juga mengimplementasikan metode Canny, GLCM dan LBP untuk ekstraksi fitur tekstur, HSV colour moment untuk ekstraksi fitur warna, sedangkan metode k-means clustering untuk mengklasifikasikan citra batik dan mengidentifikasi citra batik pewarna alam dan citra batik pewarna sintetis berdasarkan warna. Tujuan dari penelitian ini adalah untuk menggabungkan pola pada data yang sudah ada dengan pola baru. K-means clustering untuk mengelompokkan piksel citra batik digital berdasarkan warna. Hasil penelitian ini menunjukkan bahwa k-means clustering dapat meningkatkan desain batik baru dengan pola dan warna yang berbeda.]]>
<![CDATA[Skin Cancer Segmentation On Dermoscopy Images Using Fuzzy C-Means Algorithm ]]>
<![CDATA[Aldi, Febri]]>;
<![CDATA[Sumijan]]>
<![CDATA[ The Indonesian Journal of Computer Science Vol. 13 No. 2 (2024): The Indonesian Journal of Computer Science (IJCS) ]]>
Publisher : <![CDATA[AI Society & STMIK Indonesia ]]>
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DOI: 10.33022/ijcs.v13i2.3797
<![CDATA[Millions of people around the world suffer from skin cancer, a common and sometimes fatal disease. Dermoscopy has become an effective diagnostic technique for skin cancer. Precise segmentation is essential for skin cancer diagnosis. Segmentation allows more precise analysis of dermoscopic images by defining the boundaries of the lesion and separating it from surrounding healthy tissue. Dermoscopy images served as a source of research data, and Fuzzy C-Means (FCM) segmentation techniques were used. FCM is a promising method and has received a lot of attention lately. FCM is able to distinguish the various components within the lesion and effectively separate the lesion from the surrounding area. As a result, the distribution of membership degree values of each pixel in the image for each cluster represents the segmentation results obtained through FCM. The FCM technique for segmenting dermoscopic images is expected to significantly improve the precision and effectiveness of skin cancer diagnosis.]]>
<![CDATA[ALGORITMA ASSOCIATION RULE METODE FP-GROWTH MENGANALISA TINGKAT KEJAHATAN PENCURIAN MOTOR (STUDI KASUS DI POLRESTA PADANG) ]]>
<![CDATA[Suri, Ghea Paulina]]>;
<![CDATA[Defit, Sarjon]]>;
<![CDATA[Sumijan]]>
<![CDATA[ Jurnal Responsive Teknik Informatika Vol. 2 No. 01 (2018): JR : Jurnal Responsive Teknik Informatika ]]>
Publisher : <![CDATA[Lembaga Penelitian dan Pengabdian Masyarakat ]]>
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DOI: 10.36352/jr.v2i01.222
<![CDATA[Kendaraan bermotor merupakan sarana vital dengan mobilitas tinggi yang sangat diperlukan untuk kehidupan di era modern ini. Salah satu cara yang dapat dilakukan untuk penentuan strategi tersebut adalah dengan menggunakan teknik data mining. Adapun teknik yang digunakan Algoritma FP-Growth adalah salah satu alternatif algoritma yang dapat digunakan untuk menentukan himpunan data yang paling sering muncul (frequent itemset) dalam sekumpulan data. Tujuan dari penelitian ini adalah membangun suatu pengetahuan baru dalam menganalisa tingkat kasus pencurian motor dan memberikan informasi kepada kepolisian dalam mengatasi tingkat kejahatan. Sumber data masih belum lengkap karna data mentahnya masih belum diolah, data yang diambil merupakan data pencurian motor yang mencakup laporan dipolresta padang. Data yang di dapat memiliki atribut pekerjaan dan terlapor, data yang telah didapat belum bisa langsung diolah dan dikumpulkan dan diberi kode agar mudah dalam pemrosesan atau pengolahan data mining. Hasil dari pengujian terhadap metode ini maka didapatkan informasi untuk dapat membantu kepolisian dalam mengatasi tingkat kejahatan pada pencurian sepeda motor dan mengimplementasikan algoritma FP-Growth yang menggunakan konsep pembangunan FP-Tree dalam mencari Frequent Itemset. Maka dihasilkan Association Rule.]]>
<![CDATA[Analisis Data Forensik Pada Rekaman CCTV Menggunakan Metode National Institute Of Standard Techology (NIST) ]]>
<![CDATA[Ilham Asy'ari]]>;
<![CDATA[Yuhandri]]>;
<![CDATA[Sumijan]]>
<![CDATA[ Computer Science and Information Technology Vol 5 No 3 (2024): Jurnal Computer Science and Information Technology (CoSciTech) ]]>
Publisher : <![CDATA[Universitas Muhammadiyah Riau ]]>
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DOI: 10.37859/coscitech.v5i3.7779
<![CDATA[CCTV (Closed-Circuit Television) recordings have become one of the important instruments in monitoring and securing various places such as companies, commercial buildings, public institutions, and households. CCTV recordings are often vital evidence in investigating crimes, accidents, or other incidents. However, in addition to the visual content stored in CCTV recordings, metadata also plays an essential role in forensic analysis and event reconstruction. The NIST method has developed several techniques and guidelines for forensic metadata analysis on CCTV recordings. This research aims to explore and apply the forensic metadata analysis methods recommended by NIST (National Institute of Standards and Technology) in the context of CCTV recordings. By involving forensic data analysis techniques and information security principles, this study will delve into the potential of metadata analysis in supporting criminal investigations, event reconstructions, and meeting the security standards established by NIST. This research is crucial in the context of digital security and modern forensic investigations. The outcome of applying the NIST methods in forensic data analysis of CCTV recordings is the preparation of an official report derived from the stages outlined in the NIST method, so that the report can serve as a reference in court, and the authenticity of the digital evidence can be validated. By applying the NIST method in forensic data analysis of CCTV recordings, the case handling process becomes structured and adheres to procedures, with a valid report ensuring the integrity of the digital evidence.]]>
