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HENGKI TAMANDO SIHOTANG
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Jurnal Mantik
Published by Institute of Computer Science
ISSN : -     EISSN : 26854236     DOI : -
Core Subject : Economy, Science, Education,
Computer Science & IT Economics, Econometrics & Finance Languange, Linguistic, Communication & Media
Jurnal Mantik (Manajemen, Teknologi Informatika dan Komunikasi) is a scientific journal in information systems/informati containing the scientific literature on studies of pure and applied research in information systems/information technology,Comptuer Science and management science and public review of the development of theory, method and applied sciences related to the subject. Jurnal Mantik Penusa is published by Institute of Computer Science (IOCS). Editors invite researchers, practitioners, and students to write scientific developments in fields related to information systems/information technology,Comptuer Science and management science). Jurnal Mantik is issued 4 (FOUR) times a year.
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Articles 2,151 Documents
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Bitcoin Price Prediction Using Long Short Term Memory (LSTM): Bitcoin Price Prediction Using Long Short Term Memory (LSTM) Ihyak Ulumuddin; Sunardi Sunardi; Abdul Fadlil
Jurnal Mantik Vol. 4 No. 2 (2020): Augustus: Manajemen, Teknologi Informatika dan Komunikasi (Mantik)
Publisher : Institute of Computer Science (IOCS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35335/mantik.Vol4.2020.889.pp1090-1095

Abstract

Price fluctuation is a necessity in every business, including the price of Bitcoin. Therefore humans need a device or application that can assist in making predictions quickly and accurately. Deep Learning can be used to make predictions which include setting the parameters used during training, choosing the best parameters for prediction, and choosing the prediction results with the smallest error level in the actual situation. This study performs a Bitcoin price prediction using Long Short Term Memory (LSTM). This study uses quantitative calculations on the prediction results. Measurement of accuracy is done by testing the previous price (back testing) and calculating the average error using RMSE and MAPE. The method for generating predictions is LSTM as a type of Recurrent Neural Network (RNN) which has the advantage of using long-term memory in handling time series data. LSTM implementation using Python is used for price forecasting with stages starting from data collection and normalization, input and output modeling. The result of this research is a prediction of Bitcoin price with an accuracy rate of 97.48% based on the best model with input layer 2, the number of epochs 100, the number of hidden layers 100, and activation using Softmax. These price predictions can be used as a reference and consideration for traders to create trading strategies and run them automatically on the digital currency market.
Strategic Role of Human Resource Management in the Company: Strategic Role of Human Resource Management in the Company Noor Muhammadi; Noor Permadi
Jurnal Mantik Vol. 4 No. 2 (2020): Augustus: Manajemen, Teknologi Informatika dan Komunikasi (Mantik)
Publisher : Institute of Computer Science (IOCS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35335/mantik.Vol4.2020.890.pp1096-1099

Abstract

This study aims to determine the indicators of success in resource management in providing compensation to improve performance and employee development to increase skills in carrying out tasks within the company. Human resource management also concerns the design and implementation of planning systems, employee arrangement, employee development, career management, performance evaluation, employee compensation and good employment relations. Human resource management involves all management decisions and practices that directly affect human resources. Resources relate to everything that is a company asset to achieve its goals. Resources owned by the company can be categorized into four types of resources, such as financial, physical, human and technological capabilities. Financial resources are one of the important elements in order to form a company that is progressive and continues to grow because it relates to stocks which are the main capital in building a company and developing and continuing the company. Physical resources are resources related to physically supporting the establishment of a company such as its supporting tools. Human resources are a central and important sector in order to achieve goals in a company, because with the ability of workers' skills and the quality of human resources it can move the company properly and correctly. Technological capability is also an important supporting element in moving the company, because the complete technology and technological sophistication will facilitate the running of a company. Of the four sources, the most important aspect is humans, because humans are the most important mover in a company. Whether the company progresses or not depends on the management of human resources that can be done within a company or by a particular department.
Analysis and Design of Motorcycle Financing Systems at POS Semesta Finance: Analysis and Design of Motorcycle Financing Systems at POS Semesta Finance Arie Gunawan
Jurnal Mantik Vol. 4 No. 2 (2020): Augustus: Manajemen, Teknologi Informatika dan Komunikasi (Mantik)
Publisher : Institute of Computer Science (IOCS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35335/mantik.Vol4.2020.891.pp1205-1211

Abstract

The development of information and technology in Indonesia is currently progressing very rapidly, so that inevitably a company must not be left behind in implementing it. This implementation is in the form of system development from manual to computerized or even computerized systems that are redeveloped into an integrated system. This study aims to analyze and design a motorcycle financing system in accordance with user needs. The old system that is running and used in the SPU (Service Point Unit) is not possible to be applied to POS (Point of Sale). Therefore, the design is done from the beginning by following the existing systems and procedures. The motorcycle financing system being developed is expected to provide an increase compared to using the manual method. Some of the expected improvements include system performance, the information provided, the economic level and the level of control that can be carried out. With this increase, it is hoped that it can also improve the performance of employees who will also improve service to consumers.
Implementation of The Apriori Algorithm for Spare Parts Data Sales Siti Nur Khasanah; Levi Juniarti; Sandra Jamu Kuryanti; Eko Yulianto
Jurnal Mantik Vol. 4 No. 3 (2020): November: Manajemen, Teknologi Informatika dan Komunikasi (Mantik)
Publisher : Institute of Computer Science (IOCS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35335/mantik.Vol4.2020.892.pp1568-1572

Abstract

Pakubumi piling spare parts are very much needed when there is a lot of infrastructure development in the capital city and in small cities. Spare parts that are used at the time of construction and for stocks carried out by project workers that will be prepared by suppliers as well as in CV. Abadi Perkasa. With a lot of available sales data, an algorithm is needed to manage the sales data. Data processing sales data mining with a priori algorithm technique can look for the highest frequency pattern where the highest frequency value is above a certain threshold which is called minimum support. After getting the highest support value, then the confidence value is sought to determine the association rules for one product with another. Looking for a minimum of support and confidence can also be found with the help of rapidminer tools. From this research, it can be seen that the a priori algorithm can find out which products are often purchased as well as determine the patterns of relationships between products and help to develop future marketing strategies.
Employee Turnover Analysis Using Comparison of Decision Tree and Naive Bayes Prediction Algorithms on K-Means Clustering Algorithms at PT. AT Silfanus Kingki Setianto; Dwiki Jatikusumo
Jurnal Mantik Vol. 4 No. 3 (2020): November: Manajemen, Teknologi Informatika dan Komunikasi (Mantik)
Publisher : Institute of Computer Science (IOCS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35335/mantik.Vol4.2020.893.pp1573-1581

Abstract

PT. AT adalah merupakan perusahaan penyedia jasa teknologi informasi terkemuka di Indonesia. Menjadi salah satu perusahaan terkemuka di Indonesia, tentunya sangat di dukung oleh kualitas karyawan dan jumlah karyawan yang bekerja di sana. Salah satu cara untuk meningkatkan pengaruh yang besar dalam perkembangan perusahaan adalah dengan mempertahankan karyawan – karyawan yang berkualitas dan terus mengembangkannya. Sehingga turnover karyawan menjadi salah satu hal yang perlu di waspadai. Tentunya kita dapat memprediksi hal tersebut salah satunya dengan memperhatikan jumlah karyawan yang aktif dan non aktif berdasarkan rata-rata jumlah setiap tahunnya. Penelitian ini menganalisa tingkat karyawan yang resign dengan menggunakan data mining tahun dari 2015 – 2019 yang didapatkan dari Human Capital di perusahaan. Data yang didapatkan akan di klaster sesuai divisi dan level karyawan kemudian di analisa menggunakan metode Decision Tree dan Naïve Bayes. Sehingga dari hasil Analisa tersebut, dapat di jadikan acuan untuk memprediksi tingkat turnover karyawan di tahun 2020, sehingga dari penelitian ini di harapkan akan membantu dalam mengembangkan perencanaan mengenai karyawan di perusahaan agar dapat mencapai target perusahaan. Diharapkan bahwa hasil dari penelitian ini akan manfaatkan untuk mengantisipasi turnover karyawan yang tidak terkontrol.
Development of a System for Submitting Funds Proposals at the National Web-Based University: Development of a System for Submitting Funds Proposals at the National Web-Based University Bimo Anggoro Seno; Septi Andryana; Agus Iskandar
Jurnal Mantik Vol. 4 No. 1 (2020): May: Manajemen, Teknologi Informatika dan Komunikasi (Mantik)
Publisher : Institute of Computer Science (IOCS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35335/mantik.Vol4.2020.894.pp969-974

Abstract

The development of the digitalization of several activities, led the National University in the development of a planned information management system for the benefit of student associations. The difficulty of student associations in submitting proposals and activity reports, has hampered and consumed a lot of time. The process of validating proposals and reporting activities through several parties is also one of the obstacles. Therefore it is necessary to realize a web-based information management system that makes it easy for them in this regard. This development is intended to facilitate the student association in submitting proposals and reporting the results of activities. Not only students, some related parties such as student bureaus, vice deans, lecturers can also be facilitated by this system. The waterfall method has been applied in the development of this web-based system. The results in the form of web-based systems have gone through the stages of limited trials and periodic system maintenance. A system that is fully functional, dynamic, and efficient in use has provided a good guarantee to facilitate the collection of proposals and other activities. The relevance of this article lies in the fact that as technological dynamics change, software development will evolve in several aspects of life. The ease with which this information system has been generated has minimized the energy, time, and finances of Unas student associations in carrying out procurement procedures and reporting activities
Designing the Quality Assurance Agency E-Document Application at the National University Website Based: Designing the Quality Assurance Agency E-Document Application at the National University Website Based Dianita Ayu Putri Astari; M. Iwan Wahyuddin; Deny Hidayatullah
Jurnal Mantik Vol. 4 No. 2 (2020): Augustus: Manajemen, Teknologi Informatika dan Komunikasi (Mantik)
Publisher : Institute of Computer Science (IOCS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35335/mantik.Vol4.2020.895.pp1100-1106

Abstract

The National University Quality Assurance Agency is an agency that has the function of maintaining and improving quality so that quality is always guaranteed as well as possible. One of its duties is collecting documents for lecturers and employees. Documents are accurate evidence of recording information sources used for selecting, processing or storing information. This document is very important for seeing the level of achievement of organized activities. The purpose of this E-Document Application was made to optimize the creation of an electronic document processing system for the Quality Assurance Agency (BPM) at the National University in collecting the documents needed so that the documents are stored properly, facilitating the search process and maintaining because often this document processing is still carried out Manually, difficulty in searching and disorganized in their storage. The design of this application uses software, namely the programming language used is PHP, bootstrap, XAMPP, MySQL, using the Unified Modeling Language (UML) method and testing using black box testing. The result of designing this application is a Website-based E-Document information system and is expected to help the work unit to find documents quickly and does not take a long time in searching and stored regularly. using the Unified Modeling Language (UML) method and testing using black box testing. The result of designing this application is a Website-based E-Document information system and it is hoped that it can help the work unit to find documents quickly and does not take a long time in searching and stored regularly. using the Unified Modeling Language (UML) method and testing using black box testing. The result of designing this application is a Website-based E-Document information system and is expected to help the work unit to find documents quickly and does not take a long time in searching and stored regularly.
The Effect of Promotion, Price and Product Quality on Consumer Loyalty of PT. Palmanco Inti Sawit: The Effect of Promotion, Price and Product Quality on Consumer Loyalty of PT. Palmanco Inti Sawit Selvy Tanashia; Wiriyanto Pangestu; Monica Monica; Namira Ufrida Rahmi
Jurnal Mantik Vol. 4 No. 2 (2020): Augustus: Manajemen, Teknologi Informatika dan Komunikasi (Mantik)
Publisher : Institute of Computer Science (IOCS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35335/mantik.Vol4.2020.896.pp1222-1226

Abstract

This research was carried out at PT. Palmanco Inti Sawit. This study aims to determine and analyze the effect of promotion, price and product quality on consumer loyalty at PT. Palmanco Inti Sawit. The population in this study were customers of PT. Palmanco Inti Sawit, amounting to 145 respondents and a sample of 106 respondents. The data analysis technique uses multiple linear regression analysis with the help of the SPSS program. The results showed that partially promotion has a positive and significant effect on consumer loyalty in PT. Palmanco Inti Sawit. Partially the price has a positive and significant effect on consumer loyalty at PT. Palmanco Inti Sawit. Partially product quality has a positive and significant effect on consumer loyalty at PT. Palmanco Inti Sawit. Simultaneously promotion, Price and product quality have a positive and significant effect on consumer loyalty at PT. Palmanco Inti Sawit.
Menu Package Recommendation Menu Package Recommendation Using Combination of K-Means and FP-Growth Algorithms at Bakery Stores N P Dharshinni; Elvana Bangun; Sarah Karunia; Ruth Damayanti; Gabriel Rophe; Roy Pandapotan
Jurnal Mantik Vol. 4 No. 3 (2020): November: Manajemen, Teknologi Informatika dan Komunikasi (Mantik)
Publisher : Institute of Computer Science (IOCS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35335/mantik.Vol4.2020.897.pp1582-1587

Abstract

Bakery shop is a shop that sells variants menu like bread, cakes, and drinks. The main problem with this store's sales is still not knowing which product items are best sellers and the shop still markets a lot of non-selling menus, causing the shop to lose money. So it takes the right strategy to increase the sales of bakery shop menus by making a menu package recommendations from the menus most frequently purchased by customers. The k-means algorithm performs grouping on menus to get menu packages. Furthermore, the fp-growth algorithm looks for linkages between frequently purchased menus to get menu package recommendations. The results of the research that the dominant items often purchased in cluster0 packages are hotdogs, pancakes, milk, garlic breadsticks with a confidence value of 92%, cluster1 packages are garlic breadsticks, hotdogs, chicken sand, pancakes with a confidence value of 92% and the last cluster2 packages are garlic breadstick, pastry, milk with a confidence value of 79%.
Expert System That Detects COVID-19 Using Forward Chaining Algorithm: Expert System That Detects COVID-19 Using Forward Chaining Algorithm Ibnu Akil
Jurnal Mantik Vol. 4 No. 2 (2020): Augustus: Manajemen, Teknologi Informatika dan Komunikasi (Mantik)
Publisher : Institute of Computer Science (IOCS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35335/mantik.Vol4.2020.898.pp1114-1123

Abstract

The spread of Covid-19 disease since early year 2020 which caused by coronavirus has made the world in great pandemic. Besides the vaccine has not been discovered yet, it is also the cost for doing rapid test or polymerase chain reaction (PCR) are expensive. By using the information technology that is expert system, so the aim of this research is to develop expert system to detect Covid-19 disease based on the confirmed symptoms of Covid-19. This expert system will be using the algorithm of forward chaining.

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