bluuebunny/crossref_metadata_2025 huggingface dataset:
PEMILIHAN LAPANGAN BASKET WILAYAH JAKARTA DENGAN MENGGUNAKAN METODE K-NEAREST NEIGHBOR
Authors: Wijaya Andy , Arisandi Desi , Mulyawan Bagus
Published: June 2022

Finding a Basketball Court is not easy, especially for those who come from outside Jakarta or have minimal information. There are several factors that can influence players to choose a basketball court such as price, distance and facilities. Therefore, the web was made for the recommendation of the selection of basketball courts in Jakarta using the K-NEAREST NEIGHBOR method. This method can recommend the type of field that matches the criteria entered by the court finder.
APLIKASI E-COMMERCE BERBASIS WEB MENGGUNAKAN METODE WEIGHTED MOVING AVERAGE DAN K-MEDOIDS
Authors: Sudarthio Arthian Terry Sammatha , Mulyawan Bagus , Haris Darius Andana
Published: June 2022

Sugi Jaya Mandiri, Ltd. is a company specializing in sales of industrial equipments, such as cables, pipes, construction materials, machine spareparts et cetera. The company processes data manually by using Microsoft Excel. The process complicates data recapitulation, especially concerning large amounts of data. Another issue is the lack of advertising towards customer. This application aims to solve the problems by implementing data processing feature with Weighted Moving Average timeseries method and favourite product feature to better market products to prospective customers using k-Medoids clustering method.Preliminary evaluations using k-Medoids method shows two products fit to advertise by considering attributes such as sold amount, mean sold amount and transaction amount. Data evaluation using Weighted Moving Average method acquires sales forecast with Accuracy rate of 92.456%.
PEMBUATAN GAME 2D MULTIPLAYER SHOOTING “BERZEKER’S TRIAL” PADA PLATFORM PC
Authors: Kurniawan Donny , Pragantha Jeanny , Haris Darius Andana
Published: June 2022

“Berzeker Trial” is a 2D multiplayer game for PC. In this game, players are acted as special force. Their objective is to defeat General Evil using their weapon. This game is created by Unity engine and C# programming language. Also, this game only compatible with XBOX 360 Controller as the main controller. This game is tested by many methods i.e. blackbox test, alpha test by the lecturers and, beta testing by 31 respondens. The con
APLIKASI SISTEM INFERENSI FUZZY UNTUK MENDIAGNOSIS PENYAKIT MATA BERBASIS WEBSITE
Authors: Prasetya Fabrian Ivan , Lubis Chairisni
Published: June 2022

On this research a fuzzy inference system application program will be designed to diagnose web-based diseases. In addition to diagnosing the disease, this research was conducted to increase the severity of the disease. Data collection in this study uses the literature method, documentation method, and interview method. The inference engine used is the forward chaining method and the calculation of the severity using the Sugeno’s fuzzy method with triangular and trapezoidal membership functions. Fuzzy Inference System Application Program created can be used to diagnose diseases in general that can contain various types of diseases, symptoms, rule bases and diagnosis results of a disease and its symptoms based on the symptoms of the disease suffered. In this study, the application was created by using ASP.NET and SQL Server 2019. Data testing was carried out there were two types of testing. The results of the percentage of truth in diagnosing the severity of the disease reached 92.30% and in diagnosing the disease using the triangle function reached 52.56% in the first test and by using the trapezoidal function reached 53.84% in the first test. For the second test result, the percentage of truth in diagnosing the severity of the disease was 89.65% and in diagnosing the disease using the triangle function reached 41.37% and by using the trapezoidal function reached 41.37%
IMPLEMENTASI DATA MINING DENGAN METODE APRIORI UNTUK REKOMENDASI SUKU CADANG PONSEL DAN PREDIKSI PENJUALAN PRODUK SETIAP PELANGGAN
Authors: Pradana Hanven , Mawardi Viny Christanti , Perdana Novario Jaya
Published: June 2022

Application of cell phone parts recommendations and product sales predictions for each customer for Brader Parts is an application that is made aiming to provide predictions of each customer's buying habits as well as recommendations in selecting what items are most salable to sell and most sought after. This application was designed using the ASP.Net programming language. Method of Calculating application using Apriori. The design of the application uses the System Development Life Cycle. The test results are performed using the User Acceptance Test method and user satisfaction testing. With this application, it is expected that the process of consideration and selection of goods at the Brader Parts company can be helped.
PEMBUATAN GAME ACTION-ADVENTURE 2.5D “DYSPHORIA: DELIRIOUS REALM” DENGAN UNITY
Authors: Sutanto Helmy Yusuf , Pragantha Jeanny , Haris Darius Andana
Published: June 2022

"Dysphoria: Delirious Realm" is a 2.5D action-adventure game for PC with novel elements that allow players to get a different ending after completing the story of the game. This game is designed using the Unity game engine with C # as its programming language. The aim of the game is to complete the stage from beginning to end, except for tutorials that can be skipped. At each stage, players will overcome various obstacles such as monsters, traps, and puzzles to complete the stage. Testing is done by blackbox testing, alpha testing by the supervisor, and beta testing through a survey of 30 respondents. Test results show that the game with the 2.5D action-adventure genre is a very popular genre to play. The game "Dysphoria: Delirious Realm" has an interesting gameplay and a fairly challenging level of difficulty, especially on stage 4 and above but still has shortcomings in the form of ordinary enemy attacks that are easily predicted.
PEMBUATAN DASHBOARD PENJUALAN DAN PEMBELIAN HEVINDO SPORT
Authors: Christianto Hizkia Aristyo , Trisnawarman Dedi , Sutrisno Tri
Published: June 2022

Dashboards are used to present quality information on sales and purchases made available to managers or owners of a business. The purpose of this thesis is to assist shop owners in knowing the state of the sale and purchase of Hevindo Sport. Hevindo Sport is a shopping center engaged in sports, especially badminton. Dashboard uses the data warehouse Extract, Transform, and Load (ETL) method for the importing process. Importing ETL with the process of making dimension tables and fact tables. The dimensions of the table consist of the importing master table in SQL Server 2018. The fact table will be created after all dimension tables are finished and then create a dashboard. The results will be displayed in graphical form with the Tableau tools. The results of the dashboard are used to make decisions on the sale of goods reached in the safe zone and monitor the entry and exit of existing goods.
PERANCANGAN SISTEM REKOMENDASI PENJURUSAN PADA SEKOLAH MENENGAH KEJURUAN SANTO PAULUS MENGGUNAKAN METODE K-MEANS CLUSTERING
Authors: Felnditi Isaias F.X.F.A. , Arisandi Desi , Sutrisno Tri
Published: June 2022

Santo Paulus Vocational School in Jakarta, is one of the Private Schools in Central Jakarta which holds majors for grade X (ten) students who will continue their studies to grade XI (eleven). The obstacle that is often found in the majors in SMK Santo Paulus Jakarta is the difficulty in determining which students meet the criteria to occupy certain majors. This is because the majors process is still done manually, so it requires quite a long time and is considered inappropriate. This study, purpose to the K-Means Clustering algorithm for the decision support system of student majors at SMK Santo Paulus Jakarta. K-Means Clustering algorithm can group data that has attributes and has a large amount of data, so that it can be utilized in the determination of student majors in accordance with students' academic abilities.Based on the results of the implementation of the K-Means Clustering algorithm for the majors decision support system, the conclusion that can be drawn is the K-Means-Clustering algorithm can be applied in the student majors decision support system.
APLIKASI PENGUKUR KELAYAKAN TEMPAT TINGGAL MENGGUNAKAN METODE NAIVE BAYES
Authors: Yoshua Ivan Andrew , Pragantha Jeanny , Sutrisno Tri
Published: June 2022

Application for measuring the feasibility of residence by using the Naive Bayes method is a method for measuring the feasibilty of a house. This method was created for PT. Ady Karya Raya Nusantara employees to replace the PT Ady Karya Raya method which still uses manual method. There are 2 programming languages used to make this application, namely PHP and Python. PHP for the user interface and python for the calculation. Testing was done by User Acceptence Testing (UAT) and count testing. UAT testing to check buttons and features and count testing to check whether the results of the manual method are the same as the Naive Bayes method. From the two tests conducted it can be seen that the Naive Bayes method can be applied to replace the manual method and also all buttons and features in the application function properly.
PENERAPAN ALGORITMA MAX-MINER UNTUK ANALISIS POLA BELANJA KONSUMEN (STUDI KASUS KAFELOAJA)
Authors: Marsia Marsia , Pragantha Jeanny , Sutrisno Tri
Published: June 2022

This application is used to produce combination meal for Kafeloaja in order to give the owner advices to make decision in business. In this application the method used are Max-Miner and Market Basket Analysis. Max-Miner is used to find frequent maximal itemset and the result is used to formulate association rule in Market Basket Analysis. The result of this program are menu combinations that can be used by owner to be added as new combination meal.
DASHBOARD PENGUKURAN KINERJA PROGRAM STUDI PERGURUAN TINGGI
Authors: Irvan Oktovianus , Beng Jap Tji , Trisnawarman Dedi
Published: June 2022

Dashboard is a tool that used for serving information in diagram model, visual indicator or graphic that make simply summary of information. Purpose of the thesis is to make an application for development dashboard that could used for measuring the performance of study program. Method that used is Extract, Transform, Load (ETL) and Method Software Engineering. ETL Method is importing the data to SQL SERVER and then transform it into a data master which easier to process to be a fact table data and ready to be the database master, and the software engineering method is a method Business Intelligence development derived from the method of software engineering is justification, planning, Business Analysis, Design, Construction, Deployment. The Result of dashboard design that can show and monitoring data of lecturers, employees, college student, research faculty, and completed research.
APLIKASI GOOGLE MAPS API SISTEM INFORMASI PARIWISATA SUMATERA BARAT BERBASIS WEB
Authors: Ricat Ricat
Published: June 2022

This website is used to help tourists find tourist destinations and car rentals. To create a website program using Hypertext Preprocessor (PHP). For database use PhpMyAdmin. The method used is the Unified Modeling Language (UML) method. Based on testing that has been done using BLACBOX, UAT and questionnaires. The results of this website make it easy for tourists to travel with maps that can go directly to tourist sites and make it easier for tourists to understand what facilities are in place.
SISTEM PENUNJANG KEPUTUSAN PEKERJA TERBAIK PADA PT. DWI KARYA BUMI MANDIRI DENGAN METODE SIMPLE ADDITIVE WEIGHTING
Authors: Putra Rizky Eka , Beng Jap Tji , Arisandi Desi
Published: June 2022

Workers are an important asset in a company. PT. Dwi Karya Bumi Mandiri does not yet have a system that can determine the best workers and still uses manual methods. The purpose of this research is to create a program that can determine the best workers at PT. Dwi Karya Bumi Mandiri. Decision Support System is used along with Simple Additive Weighting (SAW) as the method. The SAW method is used to determine the best workers at PT. Dwi Karya Bumi Mandiri. Based on the results of testing that have been conducted it can be concluded that the program can help the foreman and the owner of the company in determining the best workers at PT. Dwi Karya Bumi Mandiri.
SISTEM REKOMENDASI PAKET MINUMAN BERDASARKAN PESANAN PELANGGAN DENGAN METODE FREQUENT PATTERN GROWTH
Authors: Steven Steven , Mawardi Viny Christanti , Sutrisno Tri
Published: June 2022

It is proposed that a beverage package is determined based on customer orders by looking for different frequent itemset patterns in the transaction data that has occurred. These data can be analyzed to be more useful. The method used is the association method. With the predicted beverage package the company can increase sales. With so many transaction data stored, the difficulty in managing data requires a method called the association method. Frequent Pattern Growth Algorithm is an alternative algorithm that is quite effective for finding the set of data that most often appears (frequent itemset) in a large data set. The test results from the Frequent Pattern Growth method can determine a number of packages that meet the minimum value of support and confidence with a combination of two itemset
PEMBUATAN GAME 3D FPS PLATFORMER “WARMIND”
Authors: Wicaksono Tommy , Pragantha Jeanny , Haris Darius Andana
Published: June 2022

Warmind adalah game bergenre First-Person Shooter Platformer dengan grafik 3 dimensi. Game ini dapat berjalan di sistem operasi Windows dan dibuat dengan menggunakan game engine Unity dengan bahasa pemrograman yang digunakan adalah C#. Game ini merupakan game single player offline. Dalam game ini terdapat platform spesial untuk melewati rintangan dan jebakan yang ada. Level dalam game ini ada 5 level dengan desain rintangan dan puzzle yang berbeda setiap levelnya. Pengujian dilakukan dengan menggunakan metode blackbox testing, alpha testing, dan beta testing. Untuk beta testing dilakukan dengan cara survei pada 30 responden. Hasil dari pengujian adalah rintangan dan puzzle yang diberikan cukup sulit dengan level 4 menjadi yang terseulit diantara 5 level yang ada.. Memiliki tampilan UI cukup menarik, dan sebagian besar pemain berhasil mencapai level 5. Terdapat beberapa kekurangan seperti tidak ada fitur skor dan perlunya penambahan beberapa tekstur dan efek pada game
Perancangan Sistem Penjualan Furniture Pada UD Usaha Jaya Mandiri Berbasis Website
Authors: Anthony Anthony , Rusdi Zyad , Wasino Wasino
Published: June 2022

UD Usaha Jaya Mandiri is a shop in the City of Tanjung Pinang which is engaged in selling furniture. Seeing the progress of the development of Science and Technology today, the demands on the development of sales and existence in the company must be increased, one way is to create a website, because in this way the UD Usaha Jaya Mandiri company engaged in the sale of furniture can be better known by the public broad, and can increase sales at UD Usaha Jaya Mandiri Company. The method used to obtain data requirements is the method of observation and interview methods. The software system design method used is System Development Life Cycle (SDLC) and the programming language used to create programs is PHP and to manage the database it uses PhpMyAdmin. The results of this application program have a shopping cart feature which is a very useful feature, because it makes it easier for customers to order and make purchases in stores, and this application program can provide information on sales and order reports.
PENDETEKSIAN DAN PENGENALAN JENIS MOBIL MENGGUNAKAN ALGORITMA YOU ONLY LOOK ONCE DAN CONVOLUTIONAL NEURAL NETWORK
Authors: Geraldy Calvin , Lubis Chairisni
Published: June 2022

Car Type Detection and Recogniton system is an application that is developed using You Only Look Once (YOLO) and Convolutional Neural Network (CNN) algorithm. This application purpose is to detect and recognize the car image from the data input. In this application the input image will be divided into two parts, namely the training image and test image. For the training image, the first step, the training image will be divided into two process stages, namely detecting the image of a car and searching for the unique features of a car.To detect the image of the car, the image will be processed to detect parts of the image of the car and not the car using the YOLO method. After obtaining a part of the car image, the image of the car will be saved as a detection model. The image that has been detected will be learning the car image by the CNN method. For the test images of the stages carried out as in the training image, after the image of the car is detected, an introduction will be made based on learning that has been done with the CNN method to obtain output in the form of a car that is successfully recognized and detected will be labeled by the application.
PEMBUATAN GAME PUZZLE “DIGITUS” BERBASIS ANDROID
Authors: Christine Christine , Pragantha Jeanny , Haris Darius Andana
Published: June 2022

In this game, player is asked to drag arrow to their pair. There are 2 modes in this game, i.e. one hand and two hands. 10 different stages for each mode. This game use multitouch features. Stage 2 to 10 have a minimum point to be able to open and play the next stage. This game has been tested by black box method, alpha testing and beta testing using a questionnaire through Google Form and Google drive to save Digitus game files. The results show that Digitus is fascinating to be played over and over again, how to play feature can be understood easily, and attractive design.
MARKET BASKET ANALYST BASED ON WEBSITE USING ECLAT ALGORITHM (CASE STUDY POLA PHARMACY)
Authors: Lawrence Edgar , Mulyawan Bagus , Perdana Novario Jaya
Published: June 2022

Market basket analyst is a data mining technique todiscover associations between datasets. Association rulemining identifies a relationship between a large set ofdata item. When a large quantity of data is constantlyobtained and stored in database, several industries arebecoming concerned about mining association rulesfrom their databases. Market basket analysis examinescustomer buying patterns by identifying associationsamong various items that customers place in theirshopping baskets. It is helpful to examine customerpurchasing behaviour and assists in increasing sales. Sothis system is intended to develop a system for marketbasket analysis on Pola Pharmacy which generateassociation rules among itemsets with the use of ECLAT(Equivalence Class Transformation) algorithm. Thissystem supports the decision making process for amarket expert.
PEMBUATAN GAME ANDROID TOWER DEFENSE “MYTH OF JAVA”
Authors: Hendaryie Hendaryie , Pragantha Jeanny , Haris Darius Andana
Published: June 2022

This game was designed using Unity Game Engine and is targeted to Android smartphone. Aseprite is used to design the sprite in this game. There are 8 stages in this game. Each stage has a different level of difficulty. The aim of this game is to destroy the opponent's tower while protecting the player's tower from being destroyed by the opponent’s. The win condition is when the opponent's tower has destroyed. Testing is done by blackbox testing, alpha testing by the supervisor, and beta testing through a survey of 40 respondents. The test results show that “Myth of Java” is a game that is quite interesting. This is because “Myth of Java” has several stages with different levels of difficulties. It also has a background story that takes from the mystical beliefs that exist in Java Island.
PEMBUATAN GAME 2D VIRTUAL PET “BARCOMON” DENGAN FITUR BARCODE SCANNER
Authors: Sofjan Hendy , Pragantha Jeanny , Haris Darius Andana
Published: June 2022

“Barcomon” is a virtual pet game for smartphone with an Android Operating System. This game was made using C# programming language and Unity as the development program. In this game, player will act as a Coder with a goal to achieve the Code Master title by winning all the battle on The Forum. Coder must take care and train the monsters. Player can get the monsters by scanning any barcode from any daily product. The testing of this game is done by using a blackbox testing method, alpha testing, and beta testing with a survey distributed to 39 respondents. The survey shows that Barcomon is a game with an interesting gameplay, easy to play, and has a unique barcode scanning feature that is rarely found in other games.
PEMBUATAN GAME IMPOSSIBLE PLATFORMER "MY UNFAIR ADVENTURE" PADA ANDROID
Authors: Alexander Kevin , Pragantha Jeanny , Haris Darius Andana
Published: June 2022

This game was created using the Unity game engine with C# as its programming language. The goal of this game is to complete all the stages. At each stage, players will face various obstacles such as monsters, traps, and hazards. Testing is done by blackbox testing, alpha testing by the supervisor, and beta testing by 32 respondents through a questionnaire. The test results show that the game My Unfair Adventure can make players annoyed but still encourage them to play again.
PEMBUATAN GAME HACK AND SLASH 2D “SERENADE TOWER”
Authors: Leonardo Leonardo , Pragantha Jeanny , Haris Darius Andana
Published: June 2022

“Serenade Tower” is a hack-and-slash game build for PC platform. Player will play as Hero to slay monster and destroy a tower called Serenade Tower which cause misfortune. “Serenade Tower” use keyboard as the main control to character movement such as moving, attacking and using skill. This game created by Unity game engine with C# as the programming language. Testing has been done by Black Box Testing, Alpha Testing by lecturer and Beta Testing by sharing and doing survey to 30 respondent. The results is the game have neat and nice user interface with balanced gameplay.
PEMBUATAN ARCADE GAME “GUESS THE ALPHABET!” BERBASIS ANDROID
Authors: Sari Linda , Pragantha Jeanny , Haris Darius Andana
Published: June 2022

Game “Guess The Alphabets!” is designed using Unity and C# Sharp for the game’s script. This game has 2 Modes, namely Monster Mode and Learn Monster Mode. Monster Mode is a Mode where players are asked to guess the letters that are on the body of a Monster. Learn Monster Mode is a Mode where players are asked to type the English words. The player must complete the first stage in Monster Mode then proceed to the easy stage in Learn Monster Mode. And so on until the last stage in Monster Mode and Learn Monster Mode. Monster Mode consists of 4 stages. Each stage in Monster Mode consists of 5 levels. Learn Monster Mode consists of 4 stages, namely easy, normal, hard, and extreme stages. Testing is done by this method blackbox testing, alpha testing, and beta testing through a survey of 31 respondents. Test results show that the game “Guess The Alphabet!” is an interesting and challenging game because the players keep trying until it's finish the game.
PEMBUATAN GAME ARCADE “SAVE OUR PLANET” BERBASIS ANDROID
Authors: Araz Medisha , Pragantha Jeanny , Haris Darius Andana
Published: June 2022

“Save Our Planet” is an arcade game that has a campaign theme. This game is Android based and has a minimum API Level of Android 4.4 ‘Kit Kat’ (API Level 19). This game is developed Unity 2019.3.15f1 with C# as the programming language. This game has six mini games and each of them provides information to remind the importance of preserving the environment. When a player gets a score that is higher than fifteen, the player could unlock the next mini game and received a tree that will be displayed on the main menu. They could also see the advantages of different trees on the information menu. Based on the results of the beta testing,“Save Our Planet” has already succeeded in providing information about the importance of preserving the environment.
SISTEM INFORMASI PERPUSTAKAAN BERBASIS WEB DI SEKOLAH HARAPAN LESTARI
Authors: Simon Timothius , Naga Dali Santun , Wasino Wasino
Published: June 2022

Library management at Harapan Lestari School, such as borrowing books and book data, is still in a manual process, so there are often difficulties in making reports and in storing existing data. These problems make Sekolah Harapan Lestari have the desire to have an Information System in their library, which can overcome existing problems. Therefore a web-based library information system was designed by using PHP, MySql, and XAMPP with the System Development Life Cycle (SDLC) method in the hope of helping in the process of managing libraries in Harapan Lestari School.The function of the program, among others: from the Front End are the registration to become a member of the library, view the book catalog, make loans see the list of loans along with their status, see a list of returns, see a list of fines and their status, see a list of lost or damaged books and their status. From the Back End side, it can manage books, confirm various kinds of events in the library such as borrowing repayments, fines, replacing lost or damaged books, and reports
PEMBUATAN GAME RHYTHM VR “SABEAT” PADA ANDROID
Authors: Octavinus Yobel , Pragantha Jeanny , Haris Darius Andana
Published: June 2022

The game is developed by Unity Game engine and Monodevelop as a script maker in C# language. The game consist of 10 Electro musics. A blue or red flashlight is used to control the game. The player use the flashlight as a saber to cut the cube. To win the game the player has to cut the cube more than 70% of cube. Testing is done by blackbox testing, alpha testing by the supervisor, and beta testing by using survey of 31 respondents. The test results show that the game "Sabeat" is an interesting game, entertaining and has unique controls for a Rhythm game, but because of these unique controls sometimes players find it difficult to get or use a controller, so more preparations such as flashlights and VR tools are needed to play the game.
Decision Support System Of Food Selection For Obese Sufferer
Authors: Yuana Yohan Ivandri
Published: June 2022

The purpose of making this application program is to facilitate obese sufferers in choosing appropriate foods to be able to regulate their calorie needs. In this application program the Analytic Hierarchy Process (AHP) method is used to determine the weight of each criterion and alternative. In making application programs using the PHP programming language and MySql database. This application program can display the food chosen by the user based on the level of importance for obesity sufferers, so users can easily determine which foods are good for their health
PEMBUATAN GAME ADVENTURE “DETECTIVE ADVENTURE” MENGGUNAKAN UNITY VIRTUAL REALITY
Authors: Yohanes Yohanes , Pragantha Jeanny , Haris Darius Andana
Published: June 2022

“Detective Adventure” is a Virtual Reality game for Android using cardboard. Where the detective must seek clues to reveal a serial killer by investigating crime scene. This game use three-dimensional graphics and virtual reality headset. The game uses a remote Virtual reality to pick up item and move. This game created by Unity game engine with C# as programming language and photoshop to make object, and to edit image. Testing was done with the blackbox testing, alpha testing by lecturer, and beta testing by surveying 30 respondens. Respondens show that the “Detective Adventure” is an interesting game to play.
PERANCANGAN SISTEM PENGELOMPOKAN DAN REKOMENDASI SAHAM LQ45 DENGAN K-MEDOIDS, EXPONENTIAL MOVING AVERAGE DAN WEIGHTED PRODUCT
Authors: Chandra Alvin , Mulyawan Bagus , Perdana Novario Jaya
Published: June 2022

Stock is an instrumentation that has the fundamentalsof a company. Owning a share means owning theshares of the company. Shares can be traded on theIndonesian Stock Exchange by the entire public. TheLQ45 stock grouping and recommendation applicationis a desktop-based application that aims to assist inmaking investment decisions in the Indonesian CapitalMarket. The application is designed using the Pythonprogramming language. The application applies the KMedoidsClustering method to group stocks andExponential Moving Average along with WeightedProducts to make recommendations or sort shares.Users can enter the desired share criteria and theapplication will recommend according to the inputcriteria from the user. Testing on this application iscarried out by the BlackBox testing method,questionnaire, K-Medoids Algorithm Testing and theoutput results of the program. From the results of theblack box testing, the application results can runaccording to plan. In testing the K-Medoids Algorithm,the results obtained that the number of clustersdetermined are in accordance with the number of 2clusters using the elbow method. And in testing theoutput results of the program, the results obtained arethe recommendation accuracy of 80.8%.
PEMBUATAN GAME PARTY MULTIPLAYER “PHONEWARS” MENGGUNAKAN SMARTPHONE SEBAGAI GAMEPAD PADA PLATFORM PC
Authors: Marcelino Andrew , Pragantha Jeanny , Haris Darius Andana
Published: June 2022

"PhoneWars" is a two-dimensional party game which contains 9 mini-games that can be played by two to four players using their smartphone as the controller. This game was created using Unity for PC or laptop and the controller is created for Android. Easy Wifi Controller was used as the asset to connect the controller to the game. Photoshop was used to design the characters and other sprites for the game. Each mini-game have different gameplay and theme. Players have to collect points by competing in mini-games. Testing was done using blackbox testing, alpha testing, and beta testing with a questionnaire distributed to 75 respondents divided into 31 groups. The results show that the game "PhoneWars" is a multiplayer game that has a pretty good graphics, easy to play, and features a smartphone as a controller that makes it easier for players to play this game.
KLASIFIKASI EMOSI PADA WAJAH DARI REKAMAN APLIKASI VIDEO CONFERENCE DENGAN MENGGUNAKAN METODE CONVOLUTIONAL NEURAL NETWORK
Authors: Marunduh Arthur Adhitya , Lina Lina
Published: June 2022

The COVID-19 pandemic has now become a very heartbreaking disaster for all inhabitants of the earth. All activities and life are certainly disrupted due to this epidemic. Education is also one of the areas that is hampered, all levels of education from TK, SD, SMP, and SMA, while in college must carry out the teaching and learning process online. By controlling emotions, it can have a good impact on controlling one's emotional intelligence. Humans generally have 2 ways of expressing their emotions, namely verbally and nonverbally. Verbal ability is to express everything that is felt consciously in words, while nonverbal ability is to express what the body feels using media on the body, such as hand movements, shrugging, facial expressions, and others. This system will classify emotions from facial expressions using the CNN method and face detection using the Viola-Jones method. Viola-jones is a method for detecting facial objects on images and CNN is a method for recognizing facial expressions. The viola-jones method has an average accuracy of 85.67% for detecting the location of faces and for CNN, the average accuracy for classifying emotions on faces is 52.46%.
PENDETEKSIAN PENGGUNAAN MASKER WAJAH DENGAN METODE CONVOLUTIONAL NEURAL NETWORK
Authors: Budiman Bunardi , Lubis Chairisni , Perdana Novario Jaya
Published: June 2022

“Face Mask Detection Using the Convolutional Neural Network” is a PC based program that aims to detect and classify human beings whether a person is using a mask or not with access through a webcam camera.  This program is created using the Python language with several libraries. The classification of face masks uses the Convolutional Neural Network method with the MobileNetV2 architecture. Meanwhile, human face detection uses the Haarcascade Classifier. How the program works is by accessing the connected camera and if the person detected is wearing a mask, the person will be labeled "using a mask" and given a green box to mark the detection along with the analysis value, whereas if not, it will be labeled "not using a mask" and a red box with also the predicted value. From the test results, it can be proven that the accuracy program is good enough to detect the use of face masks with an average object detection accuracy of 88.53% and the classifier for the use of mask an average of 84.45%.
PENDETEKSIAN SEL DARAH PUTIH DARI CITRA PREPARAT DENGAN CONVOLUTIONAL NEURAL NETWORK
Authors: Danny Danny , Lina Lina , Chris Arlends
Published: June 2022

White Blood Cells play an important role as parts of the immune system by fighting against viruses, bacteria and potentially harmful foreign objects that enter the human body. The amount of white blood cells can indicate a certain disease or infection within the human body. This research aims to develop a system that can automatically detect and locate the location of white blood cells in a slide image that is stained or not stained. By not staining blood cell images, it can save time and resources that are normally used in white blood cell detection. This system is built using convolutional neural networks (CNN), a deep learning architecture. The CNN model is used for detecting white blood cells in stained images and is trained with 528 images and the model that is used for detecting white blood cells in unstained images is trained with 264 images. Bounding box regression is used to predict the location of white blood cells. The experiment test results show the detection accuracy for the stained images reach 53.85% and for the unstained images has 54.69% accuracy.
APLIKASI CLUSTERING BERITA DENGAN METODE K MEANS DAN PERINGKAS BERITA DENGAN METODE MAXIMUM MARGINAL RELEVANCE
Authors: Susanto Edy , Mawardi Viny Christanti , Lauro Manatap Dolok
Published: June 2022

News is information about facts or opinions that are interesting to know. News can be obtained from various media such as newspapers and the internet. As is well known, news has various topics, such as politics, sports and others. There is also the same story written with the addition of a little information. This causes it to take more time to get the headline of the news. Therefore we need a system for news clustering using the K-Means method and news summarizing using the Maximum Marginal Relevance (MMR) method in order to obtain information from news more easily and efficiently. News that is processed in the form of a collection of files (multi document) with the extension txt. The summarization process goes through the text preprocessing stage, which consists of sentence segmentation, case folding, tokenizing, filtering, stemming. The next step is TF-IDF calculation to calculate word weight then Cosine Similarity to calculate the similarity between documents. After that, enter the K-Means stage for clustering division and proceed with determining the summary with MMR. Based on the results testing that has been done, this application is running well, the results of clustering and summarizing news can make it easier for users to get news summaries from some similar news.
Pembuatan Website Online Store Dilengkapi dengan Chatbot
Authors: Dinata Fredickson , Mawardi Viny Christanti , Hendryli Janson
Published: June 2022

The advance of technology and the increased number of internet usage, have caused many companies to build their online store as a way to market their product. But getting the attention of people isn’t an easy thing to achieve, so livechat and chatbot are implemented into the system to increase the quality of services. This chatbot was developed using the Vector Space Model which will calculate the similarity of each question and the input, before using the vector space model each question will be weighted with term weighting. The chatbot was tested directly and the result is calculated to get the precision of 0.813, recall of 0.751, and f-measurement of 0.766. From the results, we can say the performance of the chatbot is quite decent for it has increased the quality of the services which the online store provided.
PENDETEKSIAN SEL DARAH PUTIH DARI CITRA PREPARAT DENGAN YOU ONLY LOOK ONCE
Authors: Andrianson Fredriek , Lina Lina , Chris Arlends
Published: June 2022

Blood is a fluid that in the body, in the blood there are platelets, red blood cells and white blood cells. White blood cells play an important role in maintaining the body's defense from viruses or bacteria. Many diseases are related to white blood cells, to find out these conditions you need to do an examination to identify white blood cells. Based on this, this design aims to detect white blood cells on images of blood preparations. The method used is You Only Look Once to detect white blood cells in images of blood preparations. The test results showed that the proposed method obtained an accuracy rate of 100% for the detection of white blood cells with stained images and white blood cells without stained images obtained an accuracy rate of 76.5%.
SISTEM PAKAR MENDETEKSI BIBIT SAPI UNGGUL DENGAN METODE CERTAINTY FACTOR
Authors: Hendratama Jr. Friesky Christian , Lubis Chairisni
Published: June 2022

The purpose of this research is to develop an application expert system detecting superior cow seedlings by detecting the type of cow using the characteristics that exist in cows, then based on the existing criteria, in the detection of the percentage value of accuracy for a cow can be a superior cow that produces superior cow seedlings. The characteristics and criteria are obtained from the results of interviews at the Mutiara Halim Trade Business and literature studies that have been conducted. The method used is the Certainty Factor method.The result obtained is an Expert System application that can be accessed by admins and users to detect the type and percentage value of superior seedlings in cows owned. The program is run by using XAMPP as Localhost and PHPMyAdmin as Database. Based on the trial using 40 original cow data that has been done, the results of species detection have an average accuracy percentage value of 99.9% and the result of the detection of superior cow seedlings has an average percentage value of 98.4%. Then it can be concluded that the system created can be run and can help the user in detecting the type and percentage of superior cow seedlings.
PEMBUATAN GAME MOBILE ARCADE “COVID GO AWAY” BER PLATFORM ANDROID
Authors: Soemitha Geovanny Valerian , Pragantha Jeanny , Haris Darius Andana
Published: June 2022

“Covid Go Away” is an arcade game with a campaign theme. This game is played on Android devices with minimum API Level Android 4.4 "Kit Kat" (API Level 19). The program used to make this game is Unity 2018.4.15f1 with the C# programming language. Game "Covid Go Away" consists of 6 mini games. Each mini game content information product in life during a pandemic. If the player's score has reached a certain score, the player will get a prize which can be seen on the main menu. Based on the results of beta testing with 34 respondents, the game "Covid Go Away" has succeeded in delivering information about healthy living as well as informing players to maintain their health.
Analisis Penutupan Kartu Kredit Menggunakan Metode Analytical Hierarchy Process dan Preference Ranking Organization Methode for Enrichment Evaluation
Authors: Geraldicky Gerry , Mawardi Viny Christanti , Sutrisno Tri
Published: June 2022

The rapid development in Indonesia is information technology. Today's computer technology can collaborate with other fields of science. One of them is a Computer Based Decision Support System (DSS). Decision Support System (DSS) is a system that is useful for increasing effectiveness in terms of decision making. A credit card is a payment instrument in the form of a card that has a credit facility to the owner in lieu of cash payment, where at maturity it can be paid with the minimum payment amount and the rest is used as credit. In applying for credit card closure, it can be combined with a decision support system. The decision support system for this case uses the Analytical Hierarchy Process (AHP) method and the Preference Ranking Organization Methods for Enrichment Evaluations (Promethee). The Analytic Hierarchy Process (AHP) method has proven its reliability in weighting the criteria value and the Preference Ranking Organization Methods for Enrichment Evaluations (Promethee) is used to rank the alternatives provided. Establishing this decision support system will produce fast and accurate recommendations to credit card management on this issue.
PERANCANGAN SISTEM PENCARIAN LAGU INDONESIA MENGGUNAKAN QUERY BY HUMMING BERBASIS LONG SHORT-TERM MEMORY
Authors: Hartono Henry , Mawardi Viny Christanti , Hendryli Janson
Published: June 2022

Song identification dan query by humming is an application that is developed using Mel-frequency cepstral coefficients (MFCC) and Long Short-Term Memory (LSTM) algorithm.The application purpose is to detect and recognize humming from the input data. In this application the humming input will be divided into two parts, namely the training audio and test audio. For the training audio, the training audio will be divided into two process stages, namely recognizing humming and searching for the unique features of a humming audio.To recognize the humming feature, the humming will be processed using the MFCC method. After obtaining a part of the MFCC Features, the MFCC features will be saved as a vector model. The feature that has been extracted will be learned by the LSTM method. For the test audio of the stages carried out as in the training audio, after the MFCC Feature is detected, an introduction will be made based on learning that has been done with the LSTM method to obtain output in the form of a song name that is successfully recognized and detected will be labeled by the application.
SISTEM REKOMENDASI PEMILIHAN ART SHOP MENGGUNAKAN METODE ANALYTICAL HIERARCHY PROCESS DAN ELIMINATION ET CHOIX TRADUISANT LA REALITE (STUDI KASUS WILAYAH KABUPATEN BADUNG BALI)
Authors: Wahyu Perdana I Dewa Ketut Satria , Herwindiati Dyah Erny , Sutrisno Tri
Published: June 2022

Art shops in Bali are developing, but only a few areas are known to tourists as central art shops. Lack of knowledge of tourists about art shops in an area, tourists have to go around to many art shops to get an art shop that matches the tourist criteria. To overcome the problems, it is necessary to design a computerized system, because with a computerized system, finding an art shop in the Badung Regency, Bali will be easier and faster. A computerized system can also help to see which art shop recommendations are available in an area, and what criteria are available in the art shop. The decision support system (Decision Support System / DSS) is one type of application system that is very well known among organizational management. DSS is designed and created to help management in the decision-making process and the quality of decision making, one of which is Multi Attribute Decision Making. In Multi Attribute Decision Making, there are many decision support system methods, such as the Analytical Hierarchy Process (AHP) and Elimination Et Choix Traduisant la Realité (ELECTRE). In this decision support system, it uses two methods, namely the Analytical Hierarchy Process (AHP) to determine the weight of each criteria and the next process is to rank the best attributes using the Elimination Et Choix Traduisant (ELECTRE) method. With this method, it is hoped that it can make it easier to find an Art Shop that fits the desired criteria.
SMART PRESENSI MENGGUNAKAN QR CODE DENGAN SECURE HASH ALGORITHM 2 (SHA-2)
Authors: Wijaya Ivan , Herwindiati Dyah Erny , Hendryli Janson
Published: June 2022

This research was motivated by problems during the process of attendance at the Mid-Semester Examination (UTS) and Final Semester Examination (UAS). The problem begins when the student attendance process is still manual and not online or connected to the database. This study aims to determine the online student attendance system so that exam supervisors no longer give signatures on student exam cards so that the exam runs well and efficiently. The data that will be used are student data taken when the administrator fills in the student detail data. The system design made is by using a QR Code Scanner and data encryption using the SHA 512 method. Using this application system includes the QR Code Scanning process, inserting a QR Code into the student exam card. Then the smart phone application is used as a QR Code scanner. The test used to give a test the feasibility of the system in this study is to use system error level testing, black box testing and the presence of QR Code testing in certain cases. In the testing that has been done, it can be concluded that the Smart Presensi application can make it easier to do attendance and student attendance data recapitulation because the system application is directly connected to the database.
APLIKASI PENDETEKSI POLA KALIMAT HEADLINE COPYWRITING DENGAN METODE SHIFT REDUCE PARSING
Authors: Alimin Jeffri , Mawardi Viny Christanti , Perdana Novario Jaya
Published: June 2022

This research aims to produce an application that assesses copywriting headline sentences with correct grammar and word mismatches. Copywriting is an activity of a work through writing to made the readers get response that the writers want to convey and in it there is one of the constituent elements, namely the headline which is a sentence that will be seen first before reading the main content of the work and in the headline there is an RTO formula for making it.In this research, the problem raised was implementing the shift reduce parsing method as a detection of sentence patterns and grammar in the headline copywriting from the preprocessing stage which provides part-of-speech (POS) labels using the HMM model with an accuracy value of 94.69% to the steps parsing and grading of sentences. In making this application, the SDLC waterfall model is carried out in a sequence of several processes in stages in designing and developing a system.The result of this research is an application with the form of a web framework using ASP.net as a web interface. After the application has been built, it will be tested using the blackbox test which results in 98% successful parsing that goes according to design.
IMPLEMENTATION OF MINIMUM STOCK DETERMINATION USING PREDICTION AND ECONOMIC ORDER QUANTITY (EOQ) METHOD
Authors: Pinem Kelvin Fernando , Mulyawan Bagus , Perdana Novario Jaya
Published: June 2022

In an effort to get competitive prices, one must be able to organize the planning of the availability of the goods it owns so that it can maintain a balance between demand and the existing stock of goods (supply). This application aims to create a precise forecasting system that is useful for determining the inventory of goods in stock that must be done in accordance with the old sales data that have occurred. The method used in this research is forecasting to predict or predict the inventory of goods, then calculating the Economic Order Quantity (EOQ) to return the number of items ordered which will ultimately reduce the cost of inventory. The forecasting method used is Single Exponential Smoothing (SES), Double Exponential Smoothing (DES). The results of data testing on the Forecast method using Forecasting used are Single Exponential Smoothing (SES) and Double Exponential Smoothing (DES). The smallest MAD results were obtained from each of the Forecast methods. After forecasting, the best forecasting method will be chosen which has the value of Mean Absolute Deviation (MAD), mean quality squared (Mean Square Error), the proportion of mean absolute error (Mean Absolute Percentage Error). This Economic Order Quantity (EOQ) method helps to determine the optimal purchase frequency. How to determine and the optimal frequency of purchases.