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J-SAKTI (Jurnal Sains Komputer dan Informatika)

jsakti
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Published by STIKOM Tunas Pematang Siantar

ISSN : 25489771 EISSN : 25497200 DOI : -

Core Subject : Science,

Computer Science & IT

JSAKTI adalah jurnal yang diterbitkan oleh LPPM STIKOM Tunas Bangsa Pematangsiantar yang bertujuan untuk mewadahi penelitian di bidang Manajemen Informatika. JSAKTI (Jurnal Sains Komputer dan Informatika) adalah wadah informasi berupa hasil penelitian, studi kepustakaan, gagasan, aplikasi teori dan kajian analisis kritis dibidang Ilmu Komputer terbit 2 kali setahun.

Arjuna Subject : -

Articles 499 Documents

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Penerapan Metode Multi Attribute Utility Theory (MAUT) Dalam Pemilihan Rumah Kost Sari, Rita Novita; Hayati, Ratna Sri
J-SAKTI (Jurnal Sains Komputer dan Informatika) Vol 3, No 2 (2019): EDISI SEPTEMBER
Publisher : STIKOM Tunas Bangsa Pematangsiantar

The development of information technology is currently developing rapidly. The use of information technology is very broad in various fields of life. The choice of boarding house is one of the things that is not easy to do. The problem often faced when choosing a boarding house is that boarders find it difficult to get information about boarding houses. Decision support system is a method that helps in making decisions on a particular problem, where no one can make a definite decision. Multi Attribute Utility Theory (MAUT) is a method of decision making. MAUT is a method where looking for weighted sums of the same values in each utility in each attribute. By applying the MAUT method in the selection of boarding houses, it can give good suggestions or recommendations on boarding houses.

Analisis Laju Pembelajaran dalam Mengklasifikasi Data Wine Menggunakan Algoritma Backpropagation Hardinata, Jaya Tata; Okprana, Harly; Windarto, Agus Perdana; Saputra, Widodo
J-SAKTI (Jurnal Sains Komputer dan Informatika) Vol 3, No 2 (2019): EDISI SEPTEMBER
Publisher : STIKOM Tunas Bangsa Pematangsiantar

Backpropagation is an artificial neural network that has the architecture in conducting training and determining the right parameters to produce the correct output of similar but not the same input. One of the parameters that influences the determination of bacpropagation architecture is the rate of learning, where if the value of the learning rate is too high then the network architecture becomes unstable otherwise if the value of the learning rate is too low the network architecture converges and takes a long time in training network architecture. This research data is secondary data sourced from UCI Data Mechine Learning. The best network architecture in this study is 13-10-3, with different learning rates ranging from 0.01, 0.03, 0.06, 0.01, 0.13, 0.16, 0.2, 0.23, 0.026, 0.3, 0.35, 0.4, 0.45, 0.5, 0.55, 0.6, 0.65, 0.7, 0.75, 0.8, 0.9. From the 21 different learning rate values in the 13-10-3 network architecture, it is found that the level of learning rate is very important to get the right and fast network architecture. This can be seen in experiments with a learning rate of 0.65 can produce a better level of accuracy compared to a learning rate smaller than 0.65.

Optimasi Decision Support System (DSS) Pemilihan Paket Layanan Internet Prabayar Dengan Metode ANP Azhar, Asbon Hendra; Destari, Ratih Adinda
J-SAKTI (Jurnal Sains Komputer dan Informatika) Vol 3, No 2 (2019): EDISI SEPTEMBER
Publisher : STIKOM Tunas Bangsa Pematangsiantar

At this time there are so many Internet packages provided by companies in the telecommunications sector to help facilitate Android users in accessing the Internet. Android users using this Internet package are for the purposes of social media, chatting, browsing, streaming and downloading where Android users will feel incomplete if they do not use the Internet package because in terms of finance it is most cost effective compared to using regular pulses. The Internet is currently one of the main alternatives in meeting all needs, namely Information and Education needs that provide positive value for all people. The number of operators offering Internet packages will certainly make it difficult for consumers to make the right choice according to their wishes and criteria. To overcome these problems, a system is made that will make decision making easier for choosing an Internet service package, one of which is the decision support system to help the community choose the best Internet service package. The method used in this study is the ANP Method. With the ANP method, it is expected to help the community in determining which alternatives will be chosen as a final decision in the selection of Internet Packages as needed

Perancangan Aplikasi Menentukan Harga Jual Tanaman Berbasis Web Mobile Menggunakan Metode Full Costing Rusdiyanto, Rusdiyanto
J-SAKTI (Jurnal Sains Komputer dan Informatika) Vol 3, No 2 (2019): EDISI SEPTEMBER
Publisher : STIKOM Tunas Bangsa Pematangsiantar

Technology greatly affects the progress of the business, either individually, government agencies, or private sector. The development of information has a very important role in an effort to create progress in all areas intended for human benefit in general. Information systems are also an important part of the company in improving productivity. Rader Flower is a shop that is engaged in the sale of crops. In producing all of its products Rader Flower provides local raw materials and manufacturing is self-made. The problems faced by Rader Flower are determining the underlying price of the production, because currently the calculation of the cost of the product produced by the store is a calculation based solely on store policy and adjust and follow the price Market alone without calculating correctly and the specific working capital for a product, so it is very difficult for the shop Rader Flower to set the selling price of the production and of course this can affect in obtaining profits Or profit on the store. In this research, the design was built to determine the selling price of mobile web based plants using the full costing method. Can be concluded that this application can determine the price of plant sales at the shop Rader Flower.

Implementasi Algoritma Apriori Terhadap Data Penjualan Oli Mobil Berbasis Sistem Pencarian Aturan Asosiasi Rulianto, Jorza; Mustika, Wida Prima
J-SAKTI (Jurnal Sains Komputer dan Informatika) Vol 3, No 2 (2019): EDISI SEPTEMBER
Publisher : STIKOM Tunas Bangsa Pematangsiantar

Data mining techniques are used to design effective sales or marketing strategies by utilizing sales transaction data that is already available in the company. The problem in the company is that there are many data transactions that occur unknown, causing an accumulation of data unknown sales most in each month & year, unknown brands of car oil are often sold or demanded by customers. So this association search uses a priori algorithm as a place to store data using pattern recognition techniques such as static and mathematical techniques from a set of relationships (associations) between items obtained, it is expected that can help developers in designing marketing strategies for goods in the company. Software testing results that have been made have found the most sold oil brand products if you buy Shell Hx7, it will buy Toyota Motor Oil with 50% support and 66.7% confidence. If you buy Toyota Motor Oil, you will buy Shell Hx 7 with 50% support and 85.7% confidence.

Pengaruh Penerapan Aplikasi Pengolahan Data Barang Habis Pakai Terhadap Kinerja Pelaporan Pengurus Barang Pengguna Di RSUD HAMS Kisaran Sinaga, Hommy Dorthy Ellyany; Andriyani, Suci
J-SAKTI (Jurnal Sains Komputer dan Informatika) Vol 3, No 2 (2019): EDISI SEPTEMBER
Publisher : STIKOM Tunas Bangsa Pematangsiantar

This research is to implement an application of single use goods (BHP) data processing which is a computerized system to facilitate of data processing that linked to input, output, inventory card, incoming report, output report, semester and annual recapitulation, and to determine the influence of its implement to the reporting performance. The research method is an explanatory method. By adopting the user acceptance model, this research is formulating the hypothethical that state there is a significance influence of the implemented single use goods (BHP) data processing application to the reporting performance of Pengurus Barang Pengguna. This method is envolving the synthesising the operational variable, data collecting and observation, stating the hypothesis, creating and testing the instrument, distributed the questionnaire to all 7 persons. Based on validity and reliability testing, then the instrument is tested as valid and reliable. The implemented of single used goods (BHP) data processing application is described to be 3 operational variables, ie. the application complexity variable, application use, features and its design variable and application quality variable. The result of hypothesis testing shows that the application complexity and application quality variable are influencing the reporting performance, but the application use, features and its design shows no influence to the reporting performance.

Analisis Forensics Untuk Mendeteksi Pemalsuan Video Umar, Rusydi; Fadlil, Abdu; Putra, Alfiansyah Imanda
J-SAKTI (Jurnal Sains Komputer dan Informatika) Vol 3, No 2 (2019): EDISI SEPTEMBER
Publisher : STIKOM Tunas Bangsa Pematangsiantar

The current technology is proving that the ease with which crimes occur using computer science in the field of video editing, in addition from time to time more and more video editing software and increasingly eassy to use, but the development of this technology is widely misused by video creators to manipulate video hoaxes that cause disputes, so many video cases are spread which cannot be trusted by the public. Counterfeiting is an act of modifying documents, products, images or videos, among other media. Forensic video is one of the scientific methods in research that aims to obtain evidence and facts in determining the authenticity of a video. This makes the basis of research to detect video falsification. This study uses analysis with 2 forensic tools, forevid and VideoCleaner. The result of this study is the detection of differences in metadata, hash and contrast of original videos and manipulated videos.

Pengelompokkan Data Pembelian Tinta Dengan Menggunakan Metode K-Means Susliansyah, Susliansyah; Sumarno, Heny; Priyono, Hendro; Hikmah, Noer
J-SAKTI (Jurnal Sains Komputer dan Informatika) Vol 3, No 2 (2019): EDISI SEPTEMBER
Publisher : STIKOM Tunas Bangsa Pematangsiantar

PT. Mayer Indah Indonesia is engaged in the production of goods, where the most important part to prepare the needs for production needs is the purchasing department, but in the purchasing section it is difficult to determine which items must be bought a lot, are and few in meeting the demand requirements of each part because of the needs goods for production are very unpredictable, eventually causing some goods demand not to be fulfilled because the goods are out of stock. To solve the problems experienced by the purchasing part, datamining using clustering algorithm is k-means method, where the initial stages determine the centroid randomly and do the first iteration calculation and determine the new centroid from the first iteration, then the second iteration calculation is done, because the results of the first and second iterations in the smallest layout of the three groups, the calculation stops. The results obtained by using the ink purchase data seen from the three attributes of incoming goods, items purchased and stock of goods, making it easier and help the purchasing department in classifying items that must be purchased a lot, medium and little.

Penerapan Metode Single Exponential Smoothing Dalam Peramalan Penjualan Barang Ginantra, Ni Luh Wiwik Sri Rahayu; Anandita, Ida Bagus Gede
J-SAKTI (Jurnal Sains Komputer dan Informatika) Vol 3, No 2 (2019): EDISI SEPTEMBER
Publisher : STIKOM Tunas Bangsa Pematangsiantar

The technology of buying and selling goods in managing goods in and out will provide convenience for the management in managing stock data, financial control and profit calculation that will be immediately known by stakeholders. Forecasting method is a method that is able to analyze several factors that are known to influence the occurrence of an event with a long grace period between the need for knowledge of an event to occur in the future and the time the event has occurred in the past. In a retail company, if this forecasting method is applied in the planning of goods management, the company will be assisted in the process of planning the sale of goods which is currently still being done by predicting the amount of sales of goods that will come without any calculation, causing excessive purchases of goods that can affect the stock of goods. Single exponential smoothing method is a development of the single moving averages method where the forecasting method is done by repeating calculations continuously using the latest data and each data is weighted. The single exponential smoothing method considers the weight of the previous data by giving weight to each data period to distinguish the priority of data. The single exponential smoothing method is a method used in short-term forecasting that is usually only 1 month ahead which assumes that the data fluctuates around a fixed mean value without consistent trends or growth patterns. The accuracy of the application of the single exponential method in forecasting sales of goods in this study with an alpha value of 0.1 on the MAPE calculation average is 2%.

Analisis Sentimen Dan Topic Modelling Dalam Aplikasi Ruangguru Firdaus, Muhammad Romy; Rizki, Fikri Muhammad; Gaus, Favian Muhammad; Susanto, Indra Kusumajati
J-SAKTI (Jurnal Sains Komputer dan Informatika) Vol 4, No 1 (2020): EDISI MARET
Publisher : STIKOM Tunas Bangsa Pematangsiantar

This study aims to determine and analyze responses regarding customer satisfaction Ruangguru Application to the learning space features in the Ruangguru Application at every level of education. This is useful to know the strengths and weaknesses of the Ruangguru Application based on sentiment responses from Ruangguru users. Ruangguru is an online tutoring startup and a technology-based educational content service and provider no. 1 in Indonesia. So of course, customer satisfaction is an important thing that is the goal of the company. So that when customer satisfaction is met, that is where the company can realize their goals. To see how the level of customer satisfaction, sentiment analysis methods and topic modeling are used in processing the data so that responses can be seen as to what is provided by the customer so that it can be an evaluation for the Ruangguru Application.

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