Article Per Year (5 Year)
p-Index From 2021 - 2026
2.383
P-Index
This Author published in this journals
All Journal Jurnal IPTEK Jurnal Restikom : Riset Teknik Informatika dan Komputer Journal Basic Science and Technology JEECS (Journal of Electrical Engineering and Computer Sciences) INTECH - Informatika Dan Teknologi
M. Mahaputra Hidayat
Universitas Bhayangkara Surabaya
Biochemistry, Genetics & Molecular Biology Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Industrial & Manufacturing Engineering Materials Science & Nanotechnology Mechanical Engineering

Published : 16 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 16 Documents
Search

 1   2 
Decision Support System for Movie Recommendations Based on Multi User Preferences Using the Simple Additive Weighting Method Allexandro Billy Sukarta; M. Mahaputra Hidayat; Rifki Fahrial Zainal
JEECS (Journal of Electrical Engineering and Computer Sciences) Vol. 7 No. 2 (2022): JEECS (Journal of Electrical Engineering and Computer Sciences)
Publisher : Fakultas Teknik Universitas Bhayangkara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54732/jeecs.v7i2.22

Abstract

At this time advances in technology and information have experienced rapid progress, one of which is in the field ofentertainment, both audio and visual. And one of the entertainments is movies. With the increasing number of movies,there are several classifications of movie genres to assist users in finding and selecting movies to watch, but the genreclassification itself is still very general. Due to the above factors, especially in genre, subgenre, rating, movie durationwhich always develops over time according to a certain pattern and also audiences who have different moviepreferences, the researcher sees that there is a need for an application that can recommend movies with preferencesthat can be set according to the wishes of movie lovers. From the problems that arise, this research was built using theSimple Additive Weighting (SAW) method which aims to make it easier for users to determine which movie to choose.This system produces a web-based information system using several parameters, namely the main genre of a movie,subgenre, movie rating, movie duration, and year of making.
Decision Support System for The Selection of Digital Advertising Provider for Car Sales Using Weight Product Method (case Study : Pt. Media Tech Indonesia) M. Mahaputra Hidayat; Rani Pubaningtyas; R. Dimas Adityo; Eka Ramadhana Puriyadi
JEECS (Journal of Electrical Engineering and Computer Sciences) Vol. 7 No. 1 (2022): JEECS (Journal of Electrical Engineering and Computer Sciences)
Publisher : Fakultas Teknik Universitas Bhayangkara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54732/jeecs.v7i1.220

Abstract

This research is motivated by the internet which is starting to be seen as a potential media to be used as a means ofadvertising. Compared to other media such as television, the internet offers relatively lower rates for a longerinstallation period. If it costs 20 million rupiah, an advertiser can only display one ad for one slot for two times.Conversely, for the same fee, advertisers can place weeks of advertisements on the internet. Since online advertisinghas emerged, many digital ad providers have been able to advertise a product. When individuals or their companies(customers) want to advertise products, many of them still don't understand how to use digital advertising providers.The purpose of this study is to provide an information or description in the decision to choose a digital advertisingprovider for car sellers according to customer desires.In this research, a system implemented using the Weight Product (WP) method has a vector V value that is differentfor each customer. The results of this study conducted by 20 individual customer types chose digital advertisingproviders Google Ads 30%, Facebook 55%, Instagram 10%, Youtube 5% and 20 corporate type customers chose thedigital advertising provider Google Ads 15%, Facebook 45%, Instagram. 35%, Youtube 5%. It can be concluded thatthe test results show that individual customer types tend to choose the Facebook digital advertising provider (55%),while the corporate type customers tend to choose the Facebook digital ad provider (45%).
Application of Obligatory Prayer Learning Based on Augmented Reality Rahmawati Febriyaning Tias; M. Mahaputra Hidayat; Eko Prasetyo; Ari Tria Widagda; Anis Suryaningrum
JEECS (Journal of Electrical Engineering and Computer Sciences) Vol. 6 No. 2 (2021): JEECS (Journal of Electrical Engineering and Computer Sciences)
Publisher : Fakultas Teknik Universitas Bhayangkara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54732/jeecs.v6i2.205

Abstract

Prayer is a physical, mental, and spiritual activity that gives good meaning to relationships with Allah, fellow human beings, and oneself. Prayer begins with ablution first to remove najis and hadats. Religion is a rule, guideline, teaching, or system that governs beliefs, beliefs, or beliefs. Islam was revealed by Allah SWT. In Islam, expressing gratitude for every Muslim to the Creator is by praying. Moreover, at this time, the current guidance book on prayer procedures is still running in the delivery of information in the form of text and 2D images. This way is not valuable because it is not mobile style, while currently, human mobility is higher. In this study, we are designing and building a learning application of obligatory prayer based on augmented reality to run on Android-based smartphones and can be studied anywhere and anytime without being limited by space and time. This application contains procedures for ablution and movements of people praying in the form of 3D animation and audio.
Implementation of Virtual Reality in Simple Math Quizzes as Children's Learning Platform Muchammad Danief Zulfa Ridloka; Vivy Cahyani; Hatta Zuama Bintang Aulia; M. Mahaputra Hidayat
JEECS (Journal of Electrical Engineering and Computer Sciences) Vol. 8 No. 1 (2023): JEECS (Journal of Electrical Engineering and Computer Sciences)
Publisher : Fakultas Teknik Universitas Bhayangkara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54732/jeecs.v8i1.10

Abstract

This research focuses on the implementation of virtual reality (VR) in simple math quizzes as a children's learning platform. The background of this research stems from the need for innovative and engaging educational tools to enhance children's learning experiences in mathematics. Traditional methods of teaching mathematics often lack interactivity and fail to captivate young learners. By leveraging the immersive and interactive nature of VR technology, this research aims to address these challenges and create an effective learning platform for children. The main problem addressed by the research is the difficulty children often face in grasping mathematical concepts due to their abstract nature. By integrating VR into math quizzes, children can visualize and manipulate mathematical concepts in a virtual environment, fostering a deeper understanding of the subject matter. Additionally, the use of VR can make learning math more enjoyable and engaging for children, leading to increased motivation and improved learning outcomes. The research utilizes a specific model of VR technology to implement the app math quizzes. The exact model used is not specified in the abstract. However, it can be assumed that the chosen VR hardware and software align with the requirements of creating an interactive and immersive learning experience for children. The VR technology allows for the creation of virtual environments where children can interact with mathematical elements and solve quizzes in an engaging manner. In terms of the software development life cycle (SDLC) and design pattern method used in this research, no specific information is provided in the abstract. Further details are required to determine the specific SDLC and design pattern method employed in the implementation of the VR-based math quizzes.
Educational Data Mining for Mapping Student Ability Based on School Location Using Apriori Method Case Study : SMK YPM Sidoarjo M. Mahaputra Hidayat; Rifki Fahrial Zainal; Andi Alfian Efendi
JEECS (Journal of Electrical Engineering and Computer Sciences) Vol. 8 No. 2 (2023): JEECS (Journal of Electrical Engineering and Computer Sciences)
Publisher : Fakultas Teknik Universitas Bhayangkara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54732/jeecs.v8i2.6

Abstract

With the advancement of information technology today, the need for accurate information is needed in everyday life, so that information will become an important element in the development of society today and in the future. However, the high need for information is sometimes not matched by the presentation of adequate information, often the information still has to be re-excavated from very large amounts of data. Traditional methods of analyzing existing data, cannot handle large amounts of data. Basically Senior High School is programmed for those who continue to a higher level, while the provision of skills can be said to be non-existent. Vocational High Schools can produce quality graduates in terms of work skills, therefore currently many companies require graduates from Vocational Schools. The purpose of this study is to create an application to obtain useful information about mapping the value of subjects, especially English at YPM Vocational School in Sidoarjo with data mining techniques and Apriori method. From the results of system testing, it shows that there is still a lack of National Examination Scores for English in most YPM Vocational Schools in Sidoarjo.
CLASSIFICATION OF ROASTING RATES IN COFFEE BEANS BY DIGITAL IMAGE PROCESSING USING THE NAIVE BAYES CLASSIFIER (NBC) METHOD M. Mahaputra Hidayat; Eko Prasetyo; Bambang Teguh Wicaksono
Jurnal IPTEK Vol 27, No 1 (2023): May
Publisher : LPPM Institut Teknologi Adhi Tama Surabaya (ITATS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31284/j.iptek.2023.v27i1.3697

Abstract

Coffee is the bean of the coffee plant and is the source of coffee drinks. Coffee beans must pass through the coffee roasting stage or also called coffee roasting, from this stage of the process the coffee will be roasted and this process also has its own level. At this stage of the roasting process coffee shop business people often do not know this process, then in this case used Local Binary Pattern (LBP) method. LBP is a simple and very efficient texture operator by labeling pixels by doing thresholding on each pixel neighbors and considers the result as a binary number. This method is used to obtain the texture ektrasi of an image. While for the classification method using the Naive Bayes Classifier (NBC) method. Naive Bayes is a simple probabilistic classifier that calculates a set of probabilities by summing the frequencies and combinations of values from a given dataset. The algorithm uses Bayes' theorem and assumes all the independent or non-interdependent attributes given by the values on the class variables. From the test results by comparing training data and testing data obtained an accuracy rate of 81%. For an image-based developed system with display recognition difficulties, this performance is good.
Co-Authors Achmad Alfan Mubarrok Aldi Mustofa Allexandro Billy Sukarta Andi Alfian Efendi Anis Suryaningrum Ari Tria Widagda Bambang Teguh Wicaksono Bintang Prasetyo Budi Utomo Eka Ramadhana Puriyadi Eko Prasetyo Hatta Zuama Bintang Aulia Khisbul Fatoni Muchammad Danief Zulfa Ridloka Muhammad Ivan Zacharia Muhammad Rizki Putradira Muhammad Rizqika Brimadi Haviansyah Permata Ayu Rahmawati R Dimas Adityo Rahmawati Febriyaning Tias Rangsang Purnama Rani Pubaningtyas Rifki Fahrial Zainal Vicinthia Veren Sudrajat Vivy Cahyani