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1	Computer and Mathematics	ABS-89
MODEL DEVELOPMENT OF DISCRETE EVENT IN CIRCULAR SYSTEM USING SIMMER PACKAGE IN R I G.A. Anom Yudistira, Rinda Nariswari Statistics Department, School of Computer Science, Bina Nusantara University, Jakarta, Indonesia Abstract Abstract- This study aims to describe the various capabilities of the simmer package on R, especially in running a discrete event simulation model of circular sysitem, then develop a DES simulation model building technique, which is effective and can represent real systems well, and explore the simulation output on this simmer, both in statistical summary form and parameter estimation. The method used in this research is the literature study with descriptive and exploratory approaches. Model development is more effective when it is carried out starting from simple models, to more complex forms step by step, and describing the system using a flow chart. Replication for simulations is easy to perform, so as to get standard error values for model parameter estimators. The stages in developing a discrete event simulation model with a simmer, start with compiling a simple flowchart to a more complex form, and replication is carried out. The simmer output in the form of data frame makes it very easy to further process the output. The simple R API on simmer will also make it easier to simulate Keywords: simulation, DES, simmer, R programming, circular system Share Link | Plain Format | Corresponding Author (I G A Anom Yudistira)

2	Computer and Mathematics	ABS-110
THE IMPLEMENTATION OF VERTEX COLORING FOR THE MAPPING OF SURABAYA^S SUB-DISTRICTS Rojali,Belinda Meylia Mathematics Department,School of Computer Science, Bina Nusantara University, Jakarta, Indonesia 11480 rojali[at]binus.edu Abstract In 2018, Surabaya won The Guangzhou International Award 2018 for the ^Online Popular City^ category. The mayor did an excellent job of managing the city. Surabaya was a wonderful city. Nevertheless, various things can be improved further, such as its regional development. The initial step that could have been done is by mapping the city. To solve that problem, a method to do Surabaya^s mapping and to identify which sub-district has the best growth is required. In this research, the method used is the vertex coloring method-a part of graph coloring-with the Welch-Powell Algorithm. By using this method, the vertex (sub-district) that had many degrees will be found as the most strategic sub-districts. The author uses 31 nodes with 69 edges. From the tests that have been done, it is found that Wonokromo is the most strategic sub-district in Surabaya with eight edges and four colors (X(G) = 4) are obtained from the graph. Keywords: Surabaya, sub-districts, mapping, vertex coloring, Welch-Powell Algorithm Share Link | Plain Format | Corresponding Author (Rojali Rojali)

3	Computer and Mathematics	ABS-112
Mobile Application Program Design for Traveling Salesman Problem Completion Using Artificial Bee Colony (ABC) Algorithm Rojali,Muhammad Alby Bahri Mathematics Department, School of Computer Science Bina Nusantara University, Jakarta, Indonesia 11480 rojali[at]binus.edu Abstract These research purposes are to solve which route you should take in the Travelling Salesman Problem using the Artificial Bee Colony algorithm. The Artificial Bee Colony algorithm will be implemented into a mobile application, using Android Studio based on the java programming language. The data variable consists of the number of the city and the distance between each city. The user will select the city and give the program the distance between each city using Google Maps. A program built in as an android mobile application gives easy access for the user to use the program and reduce cost resource than using a desktop application that needs the user to have a more expensive computer than a smartphone. The mobile application successfully solves a simulated Travelling Salesman Problem, gets an optimal route distance travel value at 30.0686 KM. Keywords: Android Application- Artificial Bee Colony (ABC) Algorithm- Google Maps API- Mobile Application- Travelling Salesman Problem (TSP) Share Link | Plain Format | Corresponding Author (Rojali Rojali)

4	Computer and Mathematics	ABS-146
On The Numerical Solution of Burgers-Fisher Equation using Modified Strang Splitting Method Dadang Amir Hamzah President University Abstract In this paper the numerical solution of Burgers-Fisher equation using Modified Strang Splitting method will be discussed. The Modified Strang Splittng method is the modification of Strang Splitting Method that developed to overcome the order reduction which occurs when the boundary condition is imposed. The numerical result of both method will be compared and the advantages of each method is discussed. Keywords: Splitting Method, Burgers-Fisher Equation, Numerical Analysis, Strang Splitting Method, Modified Strang Splitting Method Share Link | Plain Format | Corresponding Author (Dadang Amir Hamzah)

5	Computer and Mathematics	ABS-183
60 Years of Mathematical Literacy Research: A Bibliometric Analysis Suwarno(a*), Meilani Hartono (a) (a) Primary Teacher Education Department, Faculty of Humanities, Bina Nusantara University, Jakarta, Indonesia 11480 *suwarno001[at]binus.ac.id Abstract Mathematical literacy instruction has been proved to be one of the most effective techniques for improving maths ability. Mathematical literacy is predicted to continue to grow in popularity among researchers in the future years. Additionally, this increase may be observed throughout a broad spectrum of scientific fields. There are 445 publications on mathematical literacy, written by 884 writers and published in 203 sources. This study analyzes these works from a bibliometric standpoint (101 single-authored documents and 783 multi-authored documents). The goal of this study is to ascertain which area of mathematical literacy is currently trending. We extracted bibliographic data from the Scopus database and analyzed it using the R programming language^s Bibliometrix and the VOSviewer software tool. The most significant publications, journals, authors, nations, and affiliations globally have been selected using citation analysis criteria. While keywords and phrases are likely to be the primary subjects and conclusions of the research, many of the significant patterns and issues discussed throughout the text are not well reflected in our inquiry. Furthermore, future research should analyze key research clusters for the development of mathematical literacy patterns. Keywords: Mathematics Literacy- Mathematical Literacy- Bibliometric Analysis- Literature Review Share Link | Plain Format | Corresponding Author (Suwarno Suwarno)

6	Computer Science	ABS-8
Implementation of the Simple Additive Weighting Algorithm for determining the recipients of the family hope program in Pandeglang district 1Agung Sugiarto, 2Neli nailul wardah,3Aghy Gilar Pratama, 4Susilawati, 5Sri Setiowati, 6Andrianto Heri Wibowo, 7Zaenal Hakim, 8Ayu mira yunita, 9Ervi nurafliyan susanti, 10 Lili Sujai, 11Moh Ridwan, 12Sukisno, 13*Robby Rizky 1,2,3,4,5,6,7,8,9,10,13 Universitas Mathla^ul Anwar Banten, Jl. Raya Labuan KM. 23 Pandeglang Banten. 11,12 Universitas Islam Syekh Yusuf Tanggerang Abstract Family Hope Program is one of government program since 2007. This is held to help underprivileged communities. Family Hope Program is is a cash compensation to the community, this program aims to improve the quality of life and minimize the level of poverty in Indonesia. Minister of Social Affairs Regulation of the Republic of Indonesia number 1 of 2018 Article 2 about Family Hope Program to improve the standard of living of beneficiary families through access to education, health and social welfare services, reducing spending and increasing the income of poor and vulnerable families. Pandeglang Regency is the second poorest Regency in Banten Province. However, in terms of determining the prospective recipients of the Family Hope Program, errors often occur or are not right on target in delivering the program, because the current system in Pandeglang Regency is still using a manual system starting from the initial data generation for validating prospective program participants to making reports. Therefore, it is necessary to apply a decision support system using the Simple Additive Weighting (SAW) method to facilitate the Social Service in Pandeglang Regency when determining prospective program recipients with the right target. The research was conducted by looking for the weight value for each alternative, then a calculation process was carried out to obtain the optimal alternative, to determine the prospective program recipients who deserved the grant. Keywords: Decision Support System, Metode SAW, Family Hope Program, Pandeglang Regency Share Link | Plain Format | Corresponding Author (robby rizky)

7	Computer Science	ABS-9
Implementation of the A*Star algorithm to find the fastest path for village mapping in Pandeglang Regency 1Aghy Gilar Pratama, 2Susilawati, 3Sri Setiowati, 4Andrianto Heri Wibowo, 5Zaenal Hakim, 6Agung Sugiarto, 7Ayu mira yunita, 8Neli nailul wardah, 9Ervi nurafliyan susanti, 10 Lili Sujai, 11Taufik hidayat, 12Asep hardianto nugroho, 13*Robby Rizky 1,2,3,4,5,6,7,8,9,10,13 Universitas Mathla^ul Anwar Banten, Jl. Raya Labuan KM. 23 Pandeglang Banten. 11,12 Universitas Islam Syekh Yusuf Tanggerang Abstract Village potential is all natural and human resources stored in the village. Where all these resources can be used for the survival and development of the village. Pandeglang Regency is divided into 32 sub-districts, 326 villages and 13 sub-districts. It has various potentials, but is not widely known to the public due to lack of information. In assisting the development and development of villages in Pandeglang Regency, a system is needed that manages the village^s information resources so as to produce data that is organized and easy to use. The web-based information system was built to make it easier for the government and the community to get information related to village potential effectively and efficiently, the location of the village location which is displayed visually using the Google Maps API. The use of the A* (A-Star) Algorithm method is able to find the closest path between the distance from one village to another, with the least expenditure costs from the given starting point to the expected destination point. This study resulted in the application of a geographic information system for mapping village potential in the Pandeglang Regency area using the Web-based A* (A-Star) Algorithm method. Keywords: Mapping, Potential, Village, Algorithm A* Share Link | Plain Format | Corresponding Author (robby rizky)

8	Computer Science	ABS-10
SMART HOME WITH GOOGLE ASSISTANT APPLICATION USING IoT BASED ARDUINO ESP8266 (INTERNET of THINGS) 1Ervi nurafliyan susanti, 2Zaenal Hakim, 3Sri setiowati, 4Susilawati, 5Andrianto Heriwibowo,6Ayu mira yunita,7Neli nailul wardah,8 Agung sugiarto, 9Aghy gilar pratama, 10 Lilii Sujai, 11*Robby Rizky 1,2,3,4,5,6,7,8,9,10,11 Universitas Mathla^ul Anwar Banten, Jl. Raya Labuan KM. 23 Pandeglang Banten. Abstract A smart home is a residence that connects a communication network with electrical equipment that can be controlled remotely. Houses in the age of advanced technology look less practical and effective in residential conditions. Ignorance of electricity such as residential lighting or other devices that are forgotten to be turned off when residents leave the house makes electricity consumption wasteful. Smart homes provide solutions that can be applied to these obstacles. In fact, smart homes can provide security and comfort in terms of room conditioning, such as neglecting electrical equipment.The criteria for an optimal smart home is that it must be reachable or remotely controlled. Android mobile technology and Google applications supported by voice command assistants can make it easier for users to control electrical equipment remotely. In this study, a smart home system will be created and demonstrated that can be controlled by voice using the ESP8266 Wi-Fi module for connection to the internet, NodeMCU ESP8266 as a microcontroller and also using the Google Assistant platform for voice recognition and Thingspeak as an IoT server. As a machine-to-machine (M2M) bridge between Google Assistant and Thingspeak, the IFTTT (if this than that) logical server is used. Keywords: ESP8266, Thingspeak, Google Assistant, IFTTT Share Link | Plain Format | Corresponding Author (robby rizky)

9	Computer Science	ABS-13
EEG and Eye Tracker Solution Design To Determine The Attractive COVID-19 e-Flyer Maria Seraphina Astriani (a*), Lee Huey Yi (b), Andreas Kurniawan (a) a) Computer Science Department, Faculty of Computing and Media Bina Nusantara University Jakarta, Indonesia 11480 *seraphina[at]binus.ac.id b) Neuroscience Business School Barcelona, Spain 08001 Abstract Coronavirus disease (COVID-19) pandemic is a global outbreak and causing the global economy hiccup. Researchers still need to contribute and continue doing the research with limited fund to deal with the COVID-19 problem. The government continues to remind people to follow the health protocols and encourage them to get the COVID-19 vaccine. E-flyer is one of the methods used to provide information to the public, however the challenges is how to find out which kind of e-flyer can attract people^s attention. fMRI is a good device for capturing human brain activity but expensive, so it will be difficult to be used in this challenging situation. We propose a less expensive solution design by using EEG and eye tracker based on customer neuroscience approach. The combination of EEG and eye tracker can help determine brain activity very well to find out what kind of COVID-19 e-flyer can attract people^s attention. Keywords: eye tracker, solution design, customer neuroscience, e-flyer Share Link | Plain Format | Corresponding Author (Maria Seraphina Astriani)

10	Computer Science	ABS-16
Factors Affecting Readiness to Adopt Digital Technology in Public Reading Parks Donny Fernando, Dentik Karyaningsih, Vidila Rosalina Faculty of Information Technology - Universitas Serang Raya Jl. Raya Serang-Cilegon Km.5 Taman Kopassus Serang Banten Indonesia Abstract This study aims to analyze the factors of digital adoption (^digital readiness^) of Public Reading Park, especially in the Banten Province. Public Reading Park operating in the Banten area consists of 3 categories, Independent, Non-Formal Education Unit (SPNF) and Others. The methodology of data collection in this study was conducted by interview, questionnaire and field observation. This study collected data from 77 Public Reading Park spread over 8 districts/cities in the Banten Province. Data were collected through questionnaires and analyzed using Structural Equation Modeling (SEM) using the SmartPLS 3.0 application. This study analyzes several factors that influence Public Reading Park to adopt digital technology, including IT Infrastructure, COVID-19 Pandemic, Digital Strategy, Perception of Ease, Perception of Benefits, Digital Culture and Adoption of Technology Digital. There are 7 hypotheses developed in this study and the results of this study provide an overview of the importance of Digital Culture, digital strategy and the influence of COVID on the adoption of digital technology in Public Reading Park organizations, especially in the Banten Province area. Keywords: Digital readiness, Public Reading Park,, Digital Culture, SEM Share Link | Plain Format | Corresponding Author (Donny Fernando)

11	Computer Science	ABS-41
IMPROVING THE QUALITY OF STUDENT SERVICE THROUGH THE SERVQUAL APPROACH - LEAN SIX SIGMA(Case Study at Mathla ul Anwar University Pharmacy Study Program, Banten) 1Veny Agustini Prianggita, 2Jihaduddin, 3Ade Agus Junaedi Mustofa 1,2,3Universitas Mathla^ul Anwar Banten Abstract The pharmacy study program at Matlaul Anwar University, Banten, has a very unique problem, namely unsatisfactory service to students. This has a negative impact on the faculty because it causes many complaints from students against officers in the faculty environment. The purpose of this study is to improve the quality of assessment of officers who are in the faculty environment, if there are officers with bad service, they will be given the appropriate punishment. Furthermore, an employee assessment will be carried out with an accurate approach in the calculations that will be used. The method used in this study is the servqual - lean six sigma approach, With the servqual - lean six sigma approach with very accurate calculations that will determine employee performance will be seen. The results of this study are in the form of calculations related to employee assessments, if employees get a bad assessment, they will get a reprimand from the faculty, otherwise if they get a good score, they will get a reward from the faculty. Keywords: service, students, serqual lean six sigma, pharmacy, matlaul anwar university Share Link | Plain Format | Corresponding Author (rizky johara)

12	Computer Science	ABS-61
Prototype Feature Identification of O-Semar: Online Smart Integration Application for RT RW using Mixed Method Wina Permana Sari, Sidharta, Danang Wahyu Wicaksono, Vincentius Sutanto Computer Science Department, School of Computer Science Bina Nusantara University Jakarta, Indonesia Abstract Abstract-In the midst of the current corona pandemic, considerably changes human lifestyles. What was formerly done face-to-face must now be done virtually. This has an influence not only on lifestyle but also on the governing system, especially in Malang city, Indonesia. The government is heavily utilizing technology in order to keep community services functioning smoothly, while still adhering to health regulations. Unfortunately, in the Malang and Surabaya cities, the use of this technology has not been fairly divided by each region. This is the background for each and every small aspect of this government, including the independence of the neighbourhood & hamlet. Because all recording, reporting, and monitoring are still done traditionally, this management level on the neighbourhood & hamlet scale is generally a scourge for them. Furthermore, in the midst of an outbreak like this, the residents, neighbourhoods, and hamlets are worried about having interaction face to face on a regular basis. On the one hand, it must retain credibility as the public^s guardian- on the other hand, the COVID-19 outbreak places restrictions on it. This is the backdrop for researchers to conduct a preliminary study of the O-SEMAR (Smart Integrated System for neighbourhood & hamlet) prototype using Web apps in the Purwodadi Malang and Sukolilo Surabaya urban villages. The methods used are deep interview (qualitative) and Pearson correlation analysis (quantitative), while the design used is use case diagrams and class diagrams. The expert will then examine the feature results to verify and validate them. These features include facilitating resident administration, such as reporting citizens, village fees, citizen administration logs, and citizen announcements, starting with sending letters to neighbourhood, hamlet, and continuing until the letter is ready to be taken. The O-Semar prototype has several features to make public services more accessible with minimal engagement (contactless Keywords: Public Services, District, Web Apps, Contactless, Covid-19 Share Link | Plain Format | Corresponding Author (Wina Permana Sari)

13	Computer Science	ABS-75
PeVe - a Phrasal Verbs Learning web-based Application Development Using Laravel Framework Melania Wiannastiti (a), Teguh Prasandy (b*), Yi Ying (c), S C Chang (d), KMO Lim (d), Wiwik Andreani (e), Endang Ernawati (e) *teguh.prasandy[at]binus.edu (a)Language Center, Bina Nusantara University, Jakarta, Indonesia, 11480 (b)Information System, Bina Nusantara University, Jakarta, Indonesia, 11480 (c)Chinese Department, Faculty of Humanities, Bina Nusantara University, Jakarta, Indonesia, 11480 (e) Department of Applied Foreign Languages, Cheng Shiu University, Kaohsiung, Taiwan (R.O.C) 83347 (e)English Department, Faculty of Humanities, Bina Nusantara University, Jakarta, Indonesia, 11480 Abstract Learning Phrasal Verbs (PVs) for EFL learners needs to be supported by a tool that makes them easy to learn. Previously the learning was using paper-based and since the technology is used a web-based application and mobile application are used to support the learning. The objectives of this study are to develop an application prototype for learning PVs and to describe the business processes in developing the application for learning PVs. The method used in this development is the Extreme Programming process model and implementing Laravel Framework for developing the application. The requirement analysis contains three-level users without an administrator and a one-use case diagram. The application prototype is designed for administration work that can be accessed by the material creators to input the materials which should be approved and activated by the experts to finally be accessed by the users. This application prototyped can be accessed on www.peve4c.com Keywords: EFL, phrasal verbs, application, development, Laravel Share Link | Plain Format | Corresponding Author (teguh prasandy)

14	Computer Science	ABS-78
DETERMINATION OF PROSPECTIVE SCHOLARSHIP RECIPIENTS SING FUZZY MULTI CRITERIA DECISION MAKING AT MATHLA^UL ANWAR UNIVERSITY BANTEN 1 Jihaddudin,2 Veny Agustini Prianggita, 3Ade Agus Junaedi Mustofa,4Meliyawati,5 Yeni Sulaeman,6 Sopyan Sauri,7 Yaser Arafat, 1,2,3,4,6,7,8Universitas Mathla^ul Anwar, 5STKIP Syekh Manshur Abstract Mathla^ul Anwar University allocates funds to provide tuition assistance / scholarshscore to students whose parents are economically disadvantaged to pay for college, as well as to provide scholarshscore to students who have achievements, both in academic and non-academic fields. The scholarship assistance program must be carried out by referring to several principles, namely right on target, right amount, and on time. In order for the distribution of this scholarship to be right on target, the selection of prospective scholarship recipients will use the Fuzzy Multi Criteria Decision Making (MCDM) method. This method was chosen because it is able to select the best alternative from a number of alternatives, in this case the intended alternative is to determine prospective scholarship recipients with diverse backgrounds including parental income/salary in a month, number of dependents in a family, status of parents from the student who is the recipient of the relevant scholarship, the current semester^s achievement index value, and the student^s cumulative achievement index, each of which has criteria with different weights, this will certainly complicate decision making to determine effective solutions so that the scholarship award is right on target, in the right amount, and on time, as well as the process for selecting prospective scholarship recipients can be carried out easily and quickly accompanied by accurate data. Keywords: Fuzzy, Multi Criteria Decision Making, Fuzzy MCDM. Share Link | Plain Format | Corresponding Author (rizky johara)

15	Computer Science	ABS-93
Anemia Recognition Android Apps Using Video-Based Learning Method Amirah Zuhroh, Dihin Muriyatmoko, Triana Harmini Universitas Darussalam Gontor Abstract Anemia has become the second leading cause of disability in the world and its a very serious health problem worldwide. Symptoms of anemia can be experienced by all groups, including young adolescents, especially young women. Lack of learning about the introduction of anemia is one of the causes of anemia. This research aims to help introduce anemia to adolescents, especially young women who are prone to anemia through an Android Application. The content of this taken from the book ^Buku Referensi: Metode Orkes-Ku (Raport Kesehatanku) Dalam Mengidentifikasi Potensi Kejadian Anemia Gizi Pada Remaja Putri^. This application is based on Android Mobile which is made using the steps of the Waterfall method, and the content of this application uses the Video-Based Learning method in the form of animated videos. This application also has a quiz feature as a measure of the user^s understanding of anemia. With this application, it will be easier for teenagers, especially young women, to recognize anemia so that they can prevent anemia. Keywords: Anemia Recognition- Android Apps- Video-based learning- Health Apps- Anemia mobile Apps Share Link | Plain Format | Corresponding Author (Amirah Zuhroh)

16	Computer Science	ABS-95
Design and Build of Web Based Lecture Attendance System Using Fingerprint on Local Area Network Ledi Diniyatullah, Aziz Musthafa, Anisa Dzulkarnain Universitas Darussalam Gontor Abstract The attendance system is very important to know someone^s whereabouts somewhere. One of the real aspects of the impact of COVID-19 is in terms of attendance. University of Darussalam Gontor Female Campus currently has implemented daily attendance that must be filled in by all lecturers and education staff, but the attendance is still in the form of documents in paper form. As a result, there are often problems in filling attendance. These obstacles include fraud, recapitulation and attendance reports. Some of these obstacles can be overcome by the existence of a web-based application for the presence of lecturers at University of Darussalam Gontor Female Campus. This research aims to convenience of the lecture attendance system process. This system uses the CodeIgniter framework and MySQL for data storage. The result of this research is that there is a web-based system that is used to process attendance data, user data and report data. Testing this system using the Black-box method following user needs and to determine the success of a web-based presence system. The feasibility analysis of the website using the Webqual framework shows that the quality of this website is in the proper category. The next research can improve the design of user interface and the attendance system. Keywords: attendance system- fingerprint- LAN- COVID-19- webqual- CodeIgniter Share Link | Plain Format | Corresponding Author (Ledi Diniyatullah)

17	Computer Science	ABS-97
Mobile Application to Warning Computer Vision Syndrome (CVS) Risk by Utilizing Ambient Light Sensor Nadya Fitri Fajriyah, Dihin Muriyatmoko, Resi Utami Putri Universitas Darussalam Gontor Abstract Computer Vision Syndrome (CVS) it is also known as digital eye strain. American Optometric Association (AOA) define it as a group of problems related to vision and eyes caused by prolonged use of gadgets. Among the causes of CVS are poor lighting and glare on digital screens. Adjusting lighting can reduce glare on the screen and improve visual comfort and eye performance. Conversely, if we use a smartphone screen that is too bright in a dimmer room will accelerate fatigue in the eyes. Habits of smartphone users who use it without regard to the brightness level of the room that can increase the risk of exposure to CVS. The purpose of this research is to early warning the risk of exposure to CVS. This research builds a mobile application as a reminder that the brightness level of the room is below the standard range set by OSHA, NEQS, and PERMENKES No.70 of 2016 which is at least 250 lx and 300 lx. Blackbox test results showed that apps can run without error, and functionality test results show that apps can warn if the brightness level of the room is below 250 lux and exceeds 1000 lux. Keywords: Health apps- Computer Vision Syndrome- Ambient Light Sensor- Early Warning Mobile Apps- Lux Meter Share Link | Plain Format | Corresponding Author (Nadya Fitri Fajriyah)

18	Computer Science	ABS-108
Implementation of Stacking Techniques to Improve the Performance of Children^s Autism Prediction Models Yulianti (*), Aries Saifudin, Irpan Kusyadi, Teti Desyani, Sri Mulyati, Endar Nirmala Universitas Pamulang Jl. Raya Puspitek No. 46 Buaran, Serpong, Tangerang Selatan, Banten, Indonesia, 15417 *yulianti[at]unpam.ac.id Abstract The problem of Autism Spectrum Disorder (ASD) is currently experiencing a rapid increase in all ages of the human population. Early detection and treatment of this neurological disease are very helpful in maintaining mental and physical health. Detection of ASD is a challenge because there are several other mental disorders whose symptoms are so similar to those of ASD that it becomes a difficult task. The speed and efficiency of the diagnosis of human health problems are very important. In Autism, the big challenge faced in many health care conditions is the timing of diagnosis. It can take up to 6 months to diagnose a child with autism with certainty due to the long process, and a child has to see many different specialists diagnose autism, from a developmental paediatrician, neurologist, psychiatrist or psychologist. In today^s traditional way, the time it takes to complete a diagnosis of autism is relatively long. With the widespread application of machine learning-based models in the prediction of various human diseases, early detection of ASD based on various health and physiological parameters has become possible. Many classification algorithms can apply to predict the presence of ASD. Each classifier is different in how it collects data, data filter, extract features, and uses this process to enter a model for study. In this study, the effectiveness of several machine learning algorithms to evaluate the predictive effectiveness of ASD. This research proposes the application of the stacking technique to predict the presence of ASD. Stacking is an efficient ensemble method, in which predictions are generated by combining several different machine learning algorithms. This research has shown that ASD prediction applying a stacking technique can provide better performance than applying single classifier. Keywords: Children- Autism- Prediction- Stacking Share Link | Plain Format | Corresponding Author (Yulianti Yulianti)

19	Computer Science	ABS-109
Optimization of the Heart Disease Prediction Model using Adaboost based on the Decision Tree Sri Mulyati (*), Endar Nirmala, Aries Saifudin, Yulianti, Irpan Kusyadi, Teti Desyani Universitas Pamulang Jl. Raya Puspitek No. 46 Buaran, Serpong, Tangerang Selatan, Banten, Indonesia, 15417 *dosen00391[at]unpam.ac.id Abstract Coronary heart disease has become one of the leading causes of death worldwide, and coronary heart disease mortality has increased from year to year. Early detection of coronary heart disease and by performing manual health risk assessments. Has less comprehensive data about relevant risk factors and has limited ability to predict the risk of developing coronary heart disease in Indonesia. Opportunities for machine learning appear to be enormous in computer-assisted Parkinson^s classification and can reduce inevitable misdiagnosis and variability in healthcare, provide guidance (in the absence of a specialist) and quick decision-makers. Many models have been introduced in the literature to diagnose coronary heart disease using various machine learning algorithms, but have not produced a perfect performance with a variety of training data. The use of the Decision Tree has been used successfully for medical prediction and reliable decision-making techniques. The prediction results using the Decision Tree are not perfect because they still contain prediction errors. So that in this study proposed the application of AdaBoost to reduce prediction errors. In general, the Boosting algorithm is better than Bagging, but not evenly good. AdaBoost could theoretically be used significantly to reduce the errors of some learning algorithms which consistently resulted in better classifier performance. Based on the experiments conducted, the application of AdaBoost can improve the performance of the Decision Tree in predicting coronary heart disease. Keywords: AdaBoost- Decision Tree- Prediction- Heart Disease Share Link | Plain Format | Corresponding Author (Sri Mulyati)

20	Computer Science	ABS-137
Prototype of IoT-Based Fire Protection System Using Blynk Application and Solar Energy Rohmat Taufiq (a*), Saepullah (b) a,b) Informatic Engineering Department, Muhammadiyah Tangerang University, Tangerang, Indonesia, 15117 Abstract PT. Gajah Tunggal. TBK is a company engaged in the automotive sector, especially tires, which was established in 1951. The fire protection system at PT. Gajah Tunggal still relies on a manual fire protection system, so there are still many shortcomings, therefore it is necessary to design an IoT-based fire protection system to facilitate the fire protection process. This study discusses the prototype of an IoT-based fire protection system using the Blynk application and solar energy. This research phase begins with data collection using observation, interviews, and library studies. Analysis using SIPOC and UML. The system design uses the prototype method and is programmed using C language on the Arduino IDE software. Based on the results of the system development that has been successfully created, with an android-based display to make it easier for K3 officers to carry out fire protection such as notification when a fire is detected, monitoring gas / smoke levels, monitoring temperature and humidity, monitoring room conditions, controlling water pumps, automatic water pumps, fire alarm, and has 2 sources of electrical energy so that the fire protection system can continue to work optimally. Keywords: Prototype- Fire protection- IoT- Blynk application- Solar energy Share Link | Plain Format | Corresponding Author (rohmat taufiq)

21	Computer Science	ABS-150
Security as a Services Factors in Cloud Computing Using Drajad Wiryawan (a*), Joni Suhartono (b*), Siti Elda Hiererra (c*), Anderes Gui (d*) a,b,c,d) Information Systems Department, School of Information Systems, Bina Nusantara University, Jakarta, Indonesia, 11480 Abstract This study aims to provide input on what factors users can consider in paying attention to matters related to consider the security in cloud-based technology. This study uses the UTAUT2 model, which has been modified to the research needs with various variables such as Regulation (R), Service Data Integration (SDI), Cloud Encryption (CE), Access Control (AC), Virtual Private Cloud (VPC), Network Protection (NP) and Intention to Use (IU) on Behavior Intention (BI) in the use of cloud computing technology. Data was obtained by distributing questionnaires through the Non-Probability Sampling and Snowball Sampling methods as data collection techniques. All processes through SMART PLS 3.2.8 and SPSS software. The results show that Service Data Integration (SDI), Cloud Encryption (CE), Access Control (AC), Virtual Private Cloud (VPC), and Network Protection (NP) have a significant influence on the model. Furthermore, all variable is inversely proportional to the Regulation (R) factor. Keywords: Security as a Services, Cloud, SPSS, Smart-PLS, Risk Share Link | Plain Format | Corresponding Author (Drajad Wiryawan)

22	Computer Science	ABS-159
Bagging Techniques to Reduce Errors in Parkinson^s Prediction Based on Decision Tree Irpan Kusyadi (*), Teti Desyani, Sri Mulyati, Endar Nirmala, Aries Saifudin, Yulianti Universitas Pamulang Jl. Raya Puspitek No. 46 Buaran, Serpong, Tangerang Selatan, Banten, Indonesia, 15417 *dosen00673[at]unpam.ac.id Abstract Parkinson^s disease is a neurological disease that is second only to Alzheimer^s disease and a complete treatment has not been found until now. It is necessary to slow the progression of this disease, as there is no cure for Parkinson^s. To slow the progression of Parkinson^s disease requires early diagnosis. However, the diagnosis of this disease cannot be made by laboratory tests. The traditional diagnosis is not suitable for early detection of Parkinson^s because it requires a lot of observation regarding daily activities, skills and other neurological parameters to assess the progression of Parkinson^s disease. Based on previous research, it has been found that Artificial Intelligence (AI) and Machine Learning have good classification potential and the classification system can improve the accuracy and reliability of diagnosis and also minimize errors and a more efficient system. The use of the Decision Tree has been used successfully for medical prediction and reliable decision-making techniques. The prediction results using the Decision Tree are still not perfect, so in this study, it is proposed to apply the bagging technique to reduce errors. Bagging is a simple but effective ensemble method that has been applied to many real-world applications. Bagging is an ensemble method that is widely applied to classification algorithms, to increase the accuracy of classifiers by combining single classifiers, and the results are better than random sampling. The experimental results show that the bagging technique can improve the performance of the Parkinson prediction model based on the Decision Tree. Keywords: Bagging- Decision Tree- Prediction- Parkinson Share Link | Plain Format | Corresponding Author (Irpan Kusyadi)

23	Computer Science	ABS-163
Early Prediction of Diabetes Possibility using Boosting Decision Tree Pedi Nopedi (*), Aries Saifudin Universitas Pamulang Jl. Raya Puspitek No. 46 Buaran, Serpong, Tangerang Selatan, Banten, Indonesia, 15417 *pedi.nopedi1111[at]gmail.com Abstract Indonesia has a fairly high number of diabetic patients. Diabetes is a long-term chronic disease characterized by increased blood sugar (glucose) levels exceeding normal values. Diabetes that is not treated at an early stage can lead to complications of the disease. Diagnosing diabetes needs to be done to detect the disease early, so that the risk of diabetes can be anticipated early. Diabetes is influenced by many factors, so to make a diagnosis requires a complex analysis. An early prediction model for the possibility of developing diabetes using machine learning has been proposed. Some of the proposed models have not produced perfect prediction performance. Decision Tree is a simple classification algorithm but can provide a fairly good predictive model performance. Several publications show that Boosting technique can reduce single classifier algorithm errors. In this experiment, it is proposed to apply the Boosting technique to reduce the prediction model error based on Decision Tree. The experimental results show that the diabetes prediction model using the Decision Tree algorithm can be improved using the Boosting technique. Keywords: Boosting- Decision Tree- Diabetes- Prediction Share Link | Plain Format | Corresponding Author (Pedi Nopedi)

24	Computer Science	ABS-173
IMPLEMENTATION OF MACHINE LEARNING APPROACH TO PREDICT LECTURER ACADEMIC PERFORMANCE INDEX Sucianna Ghadati Rabiha, Yulyanty Chandra, Willy Johan Widjaja Saputra Universitas Bina Nusantara Abstract To achieve high student involvement in the education process, a high level of teacher involvement is needed. The main contribution of this research is to implement Machine Learning technique in predicting Lecturer Academic Performance Index. The techniques we use in designing the prediction model are Naive Bayes, K-Nearest Neighbor (KNN), and Neural Network (NN). this study uses a Neural Network approach to further analyze the effect of each variable on the accuracy of the IKADQ value. the accuracy value of the index prediction generated when using variables on the Teaching and Learning Method dimension is quite high, namely 70.35%, with a precision value of 16.45% and recall of 19.33%. And when viewed from the accuracy value generated for each variable, the best value that greatly influences the accuracy in predicting the index value is the Commitment variable, where the accuracy reaches 64.27%. Keywords: Index perfomance, Machine Learning Share Link | Plain Format | Corresponding Author (Sucianna Rabiha)

25	Computer Science	ABS-186
BUSINESS INTELLIGENCE IN BIG DATA MANAGEMENT FOR SALES MONITORING WITH DASHBOARD SYSTEM ALI MAKSUM, HENDERI, LANGGENG LISTIYOKO, MUHAMMAD NUR FADILLAH UNIVERSITAS RAHARJA Abstract Huge data collections during operational need to be managed effectively by data warehousing to create very meaningful information summary. These process flow implementing business intelligence concept that is covering data warehousing technique of big data and dashboard system visualization as well. In fact the research is discovering performance of sales regarding the achievement, growth, and forecast accuracy by time to date. This kind of data manipulating strongly recommended using ETL (Extract Transform Loading) process which is the most important thing in data warehousing to gain data input from many different database environment then deliver to user by dashboard. The result is accuracy of forecasting compare to year to date performance in the next period, after getting data history discovered by this research. Keywords: business intelligence, big data, data warehouse, dashboard, forecast Share Link | Plain Format | Corresponding Author (Ali Maksum)

26	Computer Science	ABS-187
Analysis and Design of Covid-19 Detection Supervision and Prevention System Ilona Irena Gutandjala1, a) Aldian Nurcahyo2, b) Adnan Bayu Aji3, c) Bina Nusantara University Abstract More than 140,000 people have died from COVID-19 in Indonesia and even vaccines are not an absolute solution for the pandemic due to the spread of this virus, although many have been vaccinated, but this only helps increase immunity to prevent infection and a more severe spread. WHO has designated Indonesia as a green country with a 99.3% reduction in cases and the current rate of covid spread is only 2% but learns from changes in various lines of life caused by this virus. This study took place in Bina Nusantara University environment and as a higher education institution, this institution has to prepare all mechanisms by utilizing science and technology in order to prevent further infection and spread. With a surge in internet use from conditions before the pandemic was 40% to 100% after the pandemic, this is an opportunity to use the internet and technology such as Artificial intelligence and big data to form a COVID-19 detection and prevention system in the Bina Nusantara University environment. Therefore, in this study, a Covid-19 detection, surveillance and prevention system will be designed in the Bina Nusantara University environment by utilizing AI and Big Data technology. Keywords: Covid-19, Detection Supervision and Prevention System, AI, Big Data Share Link | Plain Format | Corresponding Author (Ilona Irena Gutandjala)

27	Computer Science	ABS-197
Blockchain in Agriculture Based IOT: A Systematic Literature Review Bobi Kurniawan, Meyliana, Ahmad Nizar Hidayanto, Harjanto Prabowo Universitas Komputer Indonesia Bina Nusantara University University of Indonesia Abstract The use of Blockchain has solved many kinds of problems in various sectors. One of those sectors is agriculture. However, the use of blockchain technology in agriculture requires a systematic and clear picture. Here, a Systematic Literature Review (SLR) is presented with the aim to analyze relevant researches from certain years and find out how frequently the combination of Blockchain technology and the Internet of Things (IoT) is implemented in agriculture. 29 main studies have been extracted from five scientific databases, ranging from the publication year of 2016 to 2021, this topic is a relatively new research area. The results showed that 86% of the papers focused on data security. In addition, Asian researchers, especially from India and China, dominates 59% the theme of IoT-based blockchain in agriculture. Correspondingly, only 14% of the papers discuss the transparency and traceability of integrated data in agriculture using IoT-based blockchain technology. Keywords: Agriculture, Blockchain, IoT, SLR Share Link | Plain Format | Corresponding Author (bobi kurniawan)

28	Computer Science	ABS-199
Blockchain Functions in Government Sector: Systematic Literature Review Dias Rawiro(a*), Meyliana(b), Achmad Nizar Hidayanto(c), Harjanto Prabowo(d) a) Computer Science Department Bina Nusantara University,Jakarta, Indonesia 11480 b)Information Systems Department Bina Nusantara University,Jakarta, Indonesia 11480 c)Faculty of Computer Science Indonesia University, Depok, Indonesia 16424 d)Management Department Bina Nusantara University,Jakarta, Indonesia 11480 Abstract Research on blockchain technology in recent years has increased quality and quantity based on the Scopus database. In the government sector, digital transformation is carried out to meet the needs and demands of the organization in the pandemic period and the future. Data and information owned by the government are various. Blockchain, with its characteristics, becomes a very potential choice as a tool for managing data and information. This paper presents blockchain research in government using a systematic literature review method. From 30 selected articles, we classify the function of blockchain in the government sector and identify which government tasks are enhanced by blockchain. We discovered blockchain functions as data ownership, data protection, record keeping, data sharing, distributed innovations, point-to-point transmission, and local e-currency. We also identify that a blockchain-based e-voting system has many research areas in various countries regarding the community^s need for a fair and transparent electoral system Keywords: blockchain, government, literature review Share Link | Plain Format | Corresponding Author (Dias Rawiro)

29	Computer Science	ABS-204
PRODUCT SIMPLIFICATION TO PUSH SALES GROWTH AND ACHIEVEMENT BY CLUSTERING DATA MINING IMPLEMENTATION Langgeng Listiyoko1, Henderi2, Fahrul Ghozy3 UNIVERSITAS MUHAMMADIYAH BANTEN UNIVERSITAS RAHARJA UNIVERSITAS TANGERANG RAYA Abstract After years of production, list of product then becoming huge. This situation potentially causing some problem in the market which is complex internal competition. Furthermore, internal competition makes material stock become complicated, related to sourcing as well. Brainstorming to decide simplification is not easy to do, unless implementing decision support system. Data mining with clustering method helps more effectively to decide top three of product list considering some criteria. As result of this research is sales growth compare to last full year and achievement also. Keywords: decision support system, simplification, data mining, clustering, sales growth Share Link | Plain Format | Corresponding Author (Ali Maksum)

30	Computer Science	ABS-205
ITIL V4 Implementation To Improve Service Value in PT. ABCD Ali Maksum, Yudha Abimanyu, Langgeng Listiyoko UNIVERSITAS RAHARJA UNIVERSITAS MUHAMMADIYAH BANTEN Abstract In term of maintain good customer relationship need to be considering service value by implementing ITIL V4. As a standard of customer service, ITIL V4 then become more famous in global business. This research measure how effective service improvement implementation regarding corporate sustainability and of course business sales achievement. Keywords: ITIL V4, service value, sales achievement Share Link | Plain Format | Corresponding Author (Ali Maksum)

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