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All Journal Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Systematics Jurnal Informatika Ekonomi Bisnis Komparatif Performance Model Keamanan Menggunakan Metode Algoritma AES 256 bit dan RSA
Sumijan
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Computer Science & IT Economics, Econometrics & Finance Engineering Library & Information Science

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Peramalan Penjualan Pupuk Menggunakan Metode Trend Moment Sumijan; Nurcahyo, Gunadi Widi; Ulfa, Ulia
Jurnal Informatika Ekonomi Bisnis Vol. 1, No. 4 (2019)
Publisher : Rektorat Universitas Putra Indonesia YPTK Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37034/infeb.v1i4.4

Abstract

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%.
Prediksi Pendapatan Terbesar pada Penjualan Produk Cat dengan Menggunakan Metode Monte Carlo Geni, Bias Yulisa; Santony, Julius; Sumijan
Jurnal Informatika Ekonomi Bisnis Vol. 1, No. 4 (2019)
Publisher : Rektorat Universitas Putra Indonesia YPTK Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37034/infeb.v1i4.5

Abstract

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.
Sistem Pakar Diagnosis Penyakit Jamur pada Manusia Menggunakan Input Suara Berbasis Android Sumijan; Feriantano Sundang Pranata; Jufriadif Na’am
Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Vol 3 No 3 (2019): Desember 2019
Publisher : Ikatan Ahli Informatika Indonesia (IAII)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29207/resti.v3i3.1187

Abstract

Fungal skin disease is a type of disease that is often suffered people in the tropics. Phenomena in the community often assume that this disease will heal by itself. However, if left the effects of fungal skin disease can worsen the sufferer condition. The importance of early detection and treatment is very necessary, but this requires patients go to hospital or doctor so that patients spend a lot of time and money. For this reason, was build an android expert system with speech to early diagnose fungal skin diseases. From this initial diagnosis will save time and money and provide alternative prevention for sufferers. The method used in this study is the Certainty Factor of 20 patients. The accuracy of the test results to the system compared to the results of the doctor's diagnosis is 95%. So that, this expert system can be an early alternative in diagnose fungal skin diseases in humans.
Sistem Pakar Diagnosis Penyakit Jamur pada Manusia Menggunakan Input Suara Berbasis Android Sumijan; Feriantano Sundang Pranata; Jufriadif Na’am
Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Vol 3 No 3 (2019): Desember 2019
Publisher : Ikatan Ahli Informatika Indonesia (IAII)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29207/resti.v3i3.1187

Abstract

Fungal skin disease is a type of disease that is often suffered people in the tropics. Phenomena in the community often assume that this disease will heal by itself. However, if left the effects of fungal skin disease can worsen the sufferer condition. The importance of early detection and treatment is very necessary, but this requires patients go to hospital or doctor so that patients spend a lot of time and money. For this reason, was build an android expert system with speech to early diagnose fungal skin diseases. From this initial diagnosis will save time and money and provide alternative prevention for sufferers. The method used in this study is the Certainty Factor of 20 patients. The accuracy of the test results to the system compared to the results of the doctor's diagnosis is 95%. So that, this expert system can be an early alternative in diagnose fungal skin diseases in humans.
Simulasi Monte Carlo dalam Memprediksi Disribusi Kopi Starbuck Irawan, Dedi; Sumijan; Nurcahyo , Gunadi Widi
Jurnal Informatika Ekonomi Bisnis Vol. 2, No. 3 (2020)
Publisher : Rektorat Universitas Putra Indonesia YPTK Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37034/infeb.vi0.46

Abstract

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.
Simulasi Algoritma Monte Carlo dalam Memprediksi Pendapatan Penjualan Produk Kalsium Tiens Syariah Yani, Zulfitri; Sumijan
Jurnal Informatika Ekonomi Bisnis Vol. 3, No. 1 (2021)
Publisher : Rektorat Universitas Putra Indonesia YPTK Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37034/infeb.v3i1.58

Abstract

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.
Simulasi Monte Carlo dalam Mengidentifikasi Peningkatan Penjualan Tanaman Mawar Dewi, Dian Cyntia; Sumijan
Jurnal Informatika Ekonomi Bisnis Vol. 3, No. 2 (2021)
Publisher : Rektorat Universitas Putra Indonesia YPTK Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37034/infeb.v3i2.67

Abstract

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.
Decision Support System for Feasibility of Marketing Chicken Using Weighted Product Method: Sistem Pendukung Keputusan Kelayakan Pemasaran Ayam Menggunakan Metode Weighted Product eriwandi; Sarjon Defit; Sumijan
SYSTEMATICS Vol 3 No 1 (2021): April 2021
Publisher : Universitas Singaperbangsa Karawang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35706/sys.v3i1.5521

Abstract

Chicken is a farm animal that is loved by many people, where chicken contains many things that are needed by the body. To get the best chicken, the company needs to conduct a selection in determining the best chicken to be marketed to consumers. Selection Determining the best chicken to be marketed is part of the selection process. In the process of determining the best chicken PT. Japfa com feed Indonesia Tbk is carried out with a series of tests in the form of chicken size, feather color, weight, and body temperature. Therefore we need a decision support system with the weighted product (WP) method as an alternative solution of choice so that it runs effectively and reduces subjective assessments. From the test data, it can be concluded that the system is able to provide alternative choices effectively and reduce the element of subjectivity with a margin of error of 90% when compared to the same selection system.
Sistem Penunjang Keputusan dalam Penentuan Prioritas Pembanguanan Menggunakan Metode Trus Base dengan Topsis Aktavera, Beni; Sumijan
Jurnal Informatika Ekonomi Bisnis Vol. 2, No. 4 (2020)
Publisher : Rektorat Universitas Putra Indonesia YPTK Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37034/infeb.v2i4.76

Abstract

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.
Co-Authors Aktavera, Beni dedi irawan Dewi, Dian Cyntia eriwandi Feriantano Sundang Pranata Geni, Bias Yulisa Jufriadif Na’am Julius Santony Nurcahyo , Gunadi Widi Nurcahyo, Gunadi Widi Sarjon Defit Ulfa, Ulia Yani, Zulfitri