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481	Computer Science	ABS-85
The Fuzzy Mamdani Implementation to Predict Blood Stock Needs in Blood Transfusion Unit of Palang Merah Indonesia (PMI) in Bandung District Elis Ratna Wulan, Gitarja Sandi, Shahira, Muhammad Deden Firdaus, Yogi Saputra UIN Sunan Gunung Djati Bandung Abstract Blood stock needs in blood transfusion unit of Palang Merah Indonesia in Bandung district are decreasing due to several things. To resolve this problem, a method to predict future blood stock needs is needed. With Fuzzy Mamdani method, the prediction results can be grouped into categories, those are stock in stock and fixed stock. Based on system testing and manual testing carried out in this study, it was found that Mamdani fuzy had a high enough level of accuracy of 88.88% to predict blood stock needs in Blood Transfusion Unit of Palang Merah Indonesia in Bandung district. Keywords: Fuzzy, mamdani, transfusion, blood, predictions, stock PermaLink | Plain Format | Corresponding Author (Elis Ratna Wulan)

482	Computer Science	ABS-88
E-Commerce Based on Marketplace In Efforts to Sell Agricultural Products Using Xtreme Programming Approach Sri Rahayu, Rina Kurniawati, Dewi Tresnawati Department of Informatic Engineering, Sekolah Tinggi Teknologi Garut, Jl. Mayor Syamsu No. 1, Garut 44151, Indonesia Abstract Along with the development of technology that enters all walks of life including agriculture provides an opportunity for farmers to be able to trade agriculture directly because of the problems that occur in the distribution of agricultural products for quite a long time so that they are directly in hand. Consumers sometimes make farmers quite disadvantaged because they get income that is not comparable if sold directly to consumers (end users). But the limited space and lack of information make it a problem for farmers to sell it directly. E-commerce is one solution to this problem. E-Commerce is a forum that brings together sellers and buyers in buying and selling transactions directly using online electronic devices. The software development methodology used is the XP (Extreme Programming) method. The results of this study are in the form of e-commerce applications that can be used as a medium for promotion, communication, information and provide direct benefits to farmers and consumers. The application testing technique using the Black-Box Testing method is Equivalence Partitioning. The results of the study used a user questionnaire that the application had a percentage value of 88.84% included in the excellent category. Keywords: AGRICURTURAL; E-COMMERCE; MARKETPLACE; XTREME PROGRAMMING PermaLink | Plain Format | Corresponding Author (Sri Rahayu)

483	Computer Science	ABS-348
Visual Cohort Baby Medical Recording based on Internet of Things for Maternal and Child Health Service Cholifah, Rohman Dijaya Universitas Muhammadiyah Sidoarjo Abstract Maternal and Child Health Service is a health service that makes it easier for the public to monitor the growth and development of infants and toddlers. The people who get this health service are infants less than one year old and toddlers aged 1 to 5 years. Maternal and Child Health Service in the community, especially in rural areas, the medical equipment used is still inadequate, for example to weigh infants and toddlers, maternal and child health official use scales commonly used to weigh rice. Periodically babies and toddlers are weighed by medical personnel, and the results are then recorded in the maternal and child book. In some cases, the registration process is still not efficient, because the possibility of the book being lost. In this research, first coding from four sensors used are heart rate sensor, weight sensor, temperature sensor and ultrasonic sensor. In the microcontroller, the Artificial Neural Network artificial intelligence method is embedded to learn from inputs to classify decisions / action information from the sensor medical record results. Medical record data and learning outcomes from Artificial Neural Network will be sent using Internet of Things modules on the server so that they can be accessed by the application server both web and mobile. Visualization of medical record data and the results of the health conditions of infants and toddlers recapitulated on the cohort book periodically Keywords: Artificial Neural Network, Child, Internet of Things, Health Service, Maternal PermaLink | Plain Format | Corresponding Author (rohman dijaya)

484	Computer Science	ABS-95
IN-SILICO ANALYSIS OF KAEMPFEROL AS A COMPETITOR OF ESTROGEN ON ESTROGEN RECEPTOR ALPHA OF ENDOMETRIAL CANCER Yani Suryani, Opik Taupiqurrohman, Ida Kinasih, Epa Paujiah Department of Biology Faculty of Science and Technology UIN Sunan Gunung Djati Bandung Abstract In-silico study of kaempferol has been performed to determine its potential as a natural estrogen competitor in an effort to suppress the growth of endometrial cancer. This study used a method of molecular decelerating of kaempferol against estrogen receptor alpha, which is compared with natural estrogen in the body. The research process was conducted at the Laboratory of Biology Department of Science and Technology Faculty of UIN Sunan Gunung Djati Bandung, from December 2017 until February 2018. The software used in this study is PyRx-Virtual Screening Tools (for molecular docking process) and Discovery Studio (for pose visualization and data analysis). The results showed that kaempferol is a potential natural estrogen competitor. It is indicated by the lower binding affinity value of kaemperol (-7.0 kcal / mol) than the binding affinity of natural estrogen (-6.7 kcal / mol). The low affinity binding value shows a stable interaction. Keywords: Binding Affinity, Molecular Deceleration, Kaempferol, Estrogen Receptor Alpha, RMSD PermaLink | Plain Format | Corresponding Author (Yani Suryani)

485	Computer Science	ABS-351
Study of DRMF and ASM Facial Landmark Point for Micro Expression Recognition using KLT Tracking Point Feature Rosa Andrie Asmara,Priska Choirina,Cahya Rahmad,Awan Setiawan,Faisal Rahutomo,Rizqi Darma Rusdiyan Yusron, Ulla Delfana Rosiani State Polytechnic of Malang Abstract Micro-expression recognition is one of the popular researches in analysing expressions on the face. Micro-expression is a facial movement that occurs in a short time and is difficult to identify manually by human eyes. In general research, facial landmarks are used to form a large size ROI for each facial feature for the feature extraction process. In this study, we utilize certain points in the face to trace the subtle motion of the face for the introduction of micro-expressions in the sequence of onset images to offset. The method of determining the landmark points to be compared is the Discriminative Response Map Fitting method and the Active Shape Model method. This research proposes to use 19 points in the area of the eyebrows, eyes, and mouth. To measure the subtle motion tracking of facial features in each frame tracking is done using the Kanade Lucas Tomasi method. The features obtained are the differences in coordinate values between frames, magnitude, and theta. We evaluated the method proposed in CASME2 and SAMM showed that using naive bayes is 74.6% and neural network is 63.5% classification accuracy in SAMM. In CASME2 using naive bayes is 79.6% and neural network is 61.1% classification accuracy. Keywords: Micro-Expression;Feature Point; Active Shape Model (ASM); Discriminative Response Map Fitting (DRMF); Kanade-Lucas-Tomasi (KLT) PermaLink | Plain Format | Corresponding Author (Priska Choirina)

486	Computer Science	ABS-353
Machine Translation of Indonesian: A Review Faisal Rahutomo, Amalia Agung Septarina, Moechammad Sarosa, Awan Setiawan, Muhamat Maariful Huda State Polytechnic of Malang Abstract Today, Machine Translation has an important role in communication. The need for Machine Translation System is getting higher in this information era. Some Machine Translation already exist, but many researchers interested to improve the quality of translation more natural. Find an optimal translation is not an easy thing to do in language processing. In this paper, we discuss the Machine Translation survey that contains Indonesia language to another language. There are different approaches to machine translation. The various method used in evaluating were also discussed like BLEU and NIST. Moreover, its future works to improve translation quality. From the review results obtained that the translation has better performance depending on the number of the corpus, well-behaved aligned corpus, and the technique used. Keywords: Machine Translation, Indonesian Review PermaLink | Plain Format | Corresponding Author (Amalia Agung Septarina)

487	Computer Science	ABS-99
Combination of E-Readiness Models to Assess Based on System Approaches at Cooperatives in Indonesia Khaerul Manaf 1,Cecep Nurul Alam 2, Aedah Binti Abd Rahman 3, Beki Subaek4, FaizM Kaffah5 1,2)Department of Informatics, Faculty of Science and Technology State Islamic University Sunan Gunung Djati 3)Department of Information Communication Technologhy AEU, Malaysia 4)Department of Information System, Sangga Buana YPKP Unversity Bandung, Indonesia 5)Department of Information System, Informatics and Business Indonesia University Bandung, Indonesia Abstract The 4.0 industrial revolution, on the one hand, will open opportunities for the domestic product market to compete internationally and vice versa. Business competition is so tight, the existence of free markets and advances in information technology, robotics, artificial intelligence, transportation, and communication are rapid, giving changes quick on the economy. The way to adapt to the outlook and the ability to project change in the environment and be able to determine the right strategy for this change is a must for organizations that are committed to survival as in Cooperatives in Indonesia. Regarding this problem, there are several e-readiness models that have been developed to test readiness or ability to provide platforms, comparisons, and estimates including TRAM (Technology Readiness and Acceptance Model) and several variables namely business content and institutional contexts that influence the model. The TRAM model is a combination of the TRI 2.0 (Technology Readiness Index 2.0) and TAM (Technology Acceptance Model) models. Each model developed has its own objectives intended to guide IT improvement efforts by providing benchmarks for the progress of comparison and evaluation, so it covers various aspects that can help organizations succeed in the readiness to implement IT. Keywords: E-Readiness ,Cooperatives, TRAM, Business content, Institutional context ,TRI 2.0, TAM. PermaLink | Plain Format | Corresponding Author (Khaerul Manaf)

488	Computer Science	ABS-101
How Can Games Improve Intelligence For Children Dewi Tresnawati, Leni Fitriani, Eri Satria Sekolah Tinggi Teknologi Garut Abstract This study aims to see the extent to which the use of games can affect the level of intelligence in children. The concept of education for children is important. Aspects that must be considered are methods and learning media. As we all know playing games is very liked by children. The use of games in the world of education has been carried out mostly at the elementary level such as in elementary schools and kindergartens. So far there has been no research about the effect of using the game on childrens learning outcomes. The game material used is basic knowledge such as the introduction of colors, letters, numbers, and the introduction names of animals and also fruits. A sample of 40 respondents was selected purposively, were elementary and kindergarten students. The method used in this research is descriptive statistical method. The results obtained showed that both elementary and kindergarten students were very fond of the lessons presented in the form of games / games, but this did not have much effect on the results of the learning evaluation compared to the delivery of material directly. Better stimulants are needed by combining games and subject matter synergistically to improve childrens intelligence. Keywords: children, game, learning, media PermaLink | Plain Format | Corresponding Author (Dewi Tresnawati)

489	Computer Science	ABS-103
Hybrid Multiple Criteria Decision and Fuzzy C-Means for Procurement Edi Mulyana, Jumadi, Anggit Bayu Pratama, Agung Wahana UIN Sunan Gunung Djati Bandung Abstract Determining the needs of each item of a product that has many types is something that is difficult to do if done manually. If this happens it will be a problem in decision making by management. As experienced by Cileunyi Collection Store where as of October 2018 the number of goods reached 2,469 types / Stock Keeping Units. (SKU). Production staff find it difficult to analyze how much production needs of each item so that it influences the decision-making by management in determining capital decisions and storage space that must be allocated. In this study will explaine the proposed decision support system in the form software application to assist the process of clustering goods and provide recommendations for the procurement of goods based on predetermined criteria in the Cileunyi Collection Store. Two algorithmic approaches, Multiple Decision Making Criteria (MCDM) and Fuzzy C-Mean (FCM) are used. The MCDM algorithm is used to determine the order or priority in multi-criteria analysis and the FCM algorithm is used to cluster with the same membership. The results of study indicate that the MCDM algorithm and the FCM algorithm can provide recommendations for the procurement of goods with various specified criteria. Based on the calculation of the accuration of both algorithm, the MCDM algorithm reaches 90% and the FCM algorithm reaches 90%. Keywords: production needs, decision support system, procurement, MCDM algorithm, Fuzzy C-Means algorithm. PermaLink | Plain Format | Corresponding Author (Edi Mulyana)

490	Computer Science	ABS-104
The implementation of the Depth-First Search algorithm on learning computer assembly 3D simulations in vocational education. Yana Aditia Gerhana (a), Undang Syaripudin (a), Agit Trinadi (a) a) Departement of Informatics Universitas Islam Negeri Sunan Gunung Djati Bandung Abstract Games and simulations have become one of the most effective learning models. This study aims to implement the Depth-first Search Algorithm on computer assembly 3D simulation learning models. The development framework uses Luthers multimedia development model. The object of this study were 40 vocational education teachers in West Java. Technology acceptance model (TAM) is used as a framework for measuring teacher acceptance of the learning model developed. The measurement results, Perceived Ease of Use (PEOU) has a significant effect on Perceived Usefulness (PU) of 70.2%, Perceived Ease of Use (PEOU) and Perceived Usefulness (PU) have a significant effect on Atitude Towards Using Technology (ATUT) of 82.5% , Perceived Usefulness (PU) and Atitude Towards Using Technology (ATUT) significantly influence Behavioral Intention to Use (BITU) of 81.6%. Perceived Usefulness (PU) and Atitude Towards Using Technology (ATUT) have a significant effect on Behavioral Intention to Use (BITU) of 80.2%. Keywords: Learning Media, simulation, Depth-First Search, TAM PermaLink | Plain Format | Corresponding Author (Yana Aditia Gerhana)

491	Computer Science	ABS-616
Design a Web-based Asset Management Information System Using the Straight Line Method for Private Universities Wisnu Uriawan(1*), Cecep Nurul Alam(2), Arif Ahmad Rifa(3) Teknik Informatika, Fakultas Sains dan Teknologi Universitas Islam Negeri Sunan Gunung Djati Bandung Jl. A. H. Nasution 105, Bandung 40614 Indonesia Abstract Universities cannot be separated from the existence of assets owned, therefore an information system is needed that functions as a tool in the asset management process. Most asset management in the private university still using Spreadsheet besides that the management of its assets is also not centralized. These problems can be solved by creating a web-based asset management information system. The purpose of this study is to design and build an asset management information system at the Private University. The method used is straight line where this method is used for problems in calculating the depreciation of assets and knowing the useful life of the asset. This system can help private university administrative staff in managing assets and calculating asset value. Keywords: Asset Management, Information System, Straight Line, Private University PermaLink | Plain Format | Corresponding Author (Wisnu Uriawan)

492	Computer Science	ABS-105
The Introduction of Solar System Using Augmented Reality Technology Dewi Tresnawati, Dini Destiani Siti Fatimah, Sri Rahayu Sekolah Tinggi Teknologi Garut Abstract Current technological developments have had a huge impact on education, one of which is Augmented Reality technology. In this study, innovative and alternative media learning was made to understand the types of planets in the solar system. The solar system is one of the material in natural science subjects in elementary schools. This media learning combines picture cards and virtual reality. Markers found on the card will be captured by the camera of the mobile device, processed and animated pieces will appear on the mobile screen in realtime. By using the concept of combining the real world, real images on the card and virtual, the application can stimulate imagination and a sense of desire and motivation to learn more and more. Planet estimates are made using the 3D Blender application, and the Augmented Reader process is created using Unity and Vuforia Software Development Kit. Based on the results of testing betha using the Likert scale, 86% of the 30 respondents stated that the application developed was very effective as a medium for the introduction of the planet. Keywords: Augmented Reality, Learning Media, Planet, Solar System PermaLink | Plain Format | Corresponding Author (Dewi Tresnawati)

493	Computer Science	ABS-106
Implementation K-Nearest Neighbour for Student Expertise Recommendation System Ichsan Taufik (a*), Yana Aditia Gerhana (a), Ade Irpan Ramdani (a), Mohamad Irfan (a) a) Informatic Engineering, State Islamic University Sunan Gunung Djati Bandung, Jalan A.H. Nasution No. 105, 40614, Indonesia *ichsan[at]uinsgd.ac.id Abstract The ability of students to determine their chosen field of expertise is still subjective, many students choose the field of expertise because their classmates choose the field of expertise not by considering their abilities and interests. This research uses the KNN classification method to determine areas of expertise that are in accordance with student expertise. The KNN method was chosen because it is a method that uses supervised algorithms where the results of new query instances are classified based on the majority of the categories in the KNN whose purpose is to classify test data based on training data. This system was tested using the confusion matrix method and the results were 98.30% of the total student data sample of 30 people. Keywords: expertise, KNN, confusion matrix, recommendation PermaLink | Plain Format | Corresponding Author (Ichsan Taufik)

494	Computer Science	ABS-363
STUDY OF IMAGE RECONSTRUCTIONS OF INDONESIA TRAFFIC SIGN USING CRIMINISI AND HUNG METHOD Rosa Andrie Asmara, Farihin Lazim, Faisal Rahutomo, Rudy Ariyanto, Cahya Rahmad, Usman NurHasan, Izzil muhiqqin State Polytechnic Of Malang Abstract Image reconstruction of traffic signs serves to improve the image quality of traffic signs that are blocked by leaves or tree branches so that it can facilitate the process of detecting and recognition traffic signs. Inpainting is one of the image restoration methods to reconstruct images that have been damaged or the removal of unwanted objects where the area to be restored is based on information around the area. Criminisi introduces an inpainting method with an exemplar-based approach that combines the structure-oriented and texture-oriented scheme. While Hung popularized the Criminisi method and combined it with contour construction (bezier curve). The researcher tried to compare the two methods by using a number of images of traffic signs, one of them by using images with a size of 123 x 116 issuing the results of Mean Squared Error (MSE), the criminisi method gets results from MSE 69,70 while the hung method gets results from MSE 68,04 . Based on the reconstruction process of both shows the average hung method is smaller than the MSE results which means the closeness of the reconstruction results with the original image is closer to the hung method than the criminisi method. Keywords: traffic signs, image reconstruction,image recognitions, curve bezier. PermaLink | Plain Format | Corresponding Author (Farihin Lazim)

495	Computer Science	ABS-365
Mobile Learning in Promoting Students Engagement Y Purwanti, K A N Imania, D Rahadian, S H Bariah, S Muljanto a) Institut Pendidikan Indonesia Garut, Jalan Pahlawan No 32 Garut *myyuniar[at]gmail.com *yuniar[at]institutpendidikan.ac.id Abstract Student engagement is an important element in learning. Mobile learning is a learning media that can facilitate student engagement. The purpose of this study is to measure student engagement in problem solving behavior abilities; explanation; and analysis using mobile learning. Qualitative analysis is divided into three stages, namely preliminary studies, literature studies and observations involving thirty students. The engagement of students shows a sufficient tendency to solve problems, explain learning material and analyze. Keywords: Mobile Learning, Students Engagement PermaLink | Plain Format | Corresponding Author (Yuniar Purwanti)

496	Computer Science	ABS-117
Prototype of Decision Support System for Wind Detection based on Optocoupler and Magnetic Sensor Yosep Septiana (a*), Dede Kurniadi (a), Asri Mulyani (a), Andika Raja Sonang Munthe (b) a) Department of Informatics, Sekolah Tinggi Teknologi Garut, Jalan Mayor Syamsu 1, Garut 44151, Indonesia *yseptiana[at]sttgarut.ac.id b) Department of Civil Engineering, Sekolah Tinggi Teknologi Garut, Jalan Mayor Syamsu 1, Garut 44151, Indonesia Abstract Measurement of wind speed and direction can be done by observation using a measuring instrument in the form of an anemometer, but the results are not accurate. The research aims to design prototype decision support system based on an optocoupler and magnetic sensor for wind detection that works automatically detects speed and direction of the wind. The software development model used is the Prototype Model. The result of this research is a prototype wind detector that can be used to determine the speed and direction of the wind in an area. The information produced can be used for decision support systems as a reference for mapping the potential of wind energy in an area and determining the timing for fishing. Keywords: Magnetic Sensor; Optocoupler; Prototype; Wind Detection PermaLink | Plain Format | Corresponding Author (Yosep Septiana)

497	Computer Science	ABS-119
Design of Expert System to Determine the Proper Diet using Harmony Search Method Esa Firmansyah (a, *), Romi Rosmawati (a), Rifqi Syamsul Fuadi (a), Deny Fauzy (a), Muhammad Ali Ramdhani (a) (*) esa[at]if.uinsgd.ac.id (a) Department of Informatics, UIN Sunan Gunung Djati Bandung Abstract Excess or lack of nutrients that contained in food will cause a problems in the body. To solve this problem easily, a computerized system is needed that can provide some advice on the amount and type of food that needed to be consumed. The aim of this study is to design an expert system which addresses individual diet based on calorie activities and body needs. This study uses the Prototype as software development methodology and Data Flow Diagram (DFD) as software model. This expert system uses a harmony search algorithm to determine the amount of food with Harris-Benedict formula to calculate the bodys calorie needs. The results of functionality system testing and based on the assessment of nutritionists, this expert system have been worked well for people with normal body metabolism. Keywords: Harmony Search Algorithm, Harris-Benedict, Calorie Needs, Nutrition, Diet. PermaLink | Plain Format | Corresponding Author (Esa Firmansyah)

498	Computer Science	ABS-376
ECHO HIDING METHOD FOR VIDEO FILE MESSAGE SECURITY Cahya Rahmad,Izzil Muhiqqin,Tundung Subali Patma,Rudy Ariyanto,Nailul Muna State Polytechnic Of Malang Abstract Sending secret message need an algorithm that can protect message to receiver without knowing by other and keep the originality of message. Previous research, encoding secret message in video inserted in frame while audio secret message inserted in bit audio. In this paper, try to encode the secret message at video file to encode in audio. Audio separated from video in order to encode secret message in audio. Echo Hiding method used in encode secret message to audio process. Testing use Bit Error Rate (BER) method to analysis modification in audio and Normalized Correlation (NC) analysis authentic the secret message. Based on experiment, message inserted in audio more authentic on mono audio channels than stereo audio channels. Keywords: echo hiding,secret message,sending message PermaLink | Plain Format | Corresponding Author (izzil muhiqqin)

499	Computer Science	ABS-633
SLEEP DISORDER DIAGNOSIS EXPERT SYSTEM USING CERTAINTY FACTOR METHOD Rachmat Jaenal Abidin (a*), Faiz M Kaffah(a), Pramita Khaerunisa(a), Popon Dauni(a), Muhammad Indra Nurardy Saputra(a) (a) Department of Informatics, UIN Sunan Gunung Djati Bandung, Indonesia Abstract Sleep disorders is a disorder experienced by a person when the REM and NREM cycle don’t work normally. Prolonged sleep disorders can cause a variety of bad conditions such as depression, fatigue, reduce work, performance and endurance. It quickly offended till affect to our own safety. The latest study in 2018 conducted by Dr. Welly Sondakh, MPH in Jakarta revealed that there were 10% of people with insomnia from the Indonesian population or around 28 million people. The low public awareness of sleep disorders causes them to need alternative media, namely an expert system to diagnose sleep disorders. Expert system is a system that uses the knowledge of an expert to solve a problem in a particular field where the system is not limited by time and can be used by many people. The method used in this system is Certainty Factor as an inference engine to determine the results of the diagnosis based on the symptoms determined. The calculation of this method combines the MB (measure of increased belief) and MD (measure of increased disbelief) values obtained from experts. From 50 test data, 45 data were obtained so that the accuracy level reached 90%. This shows that the expert system of diagnosing sleep disorders is suitable for early diagnosis of sleep disorders Keywords: Expert System, Sleep Disorder, Certainty Factor PermaLink | Plain Format | Corresponding Author (Rachmat Jaenal Abidin)

500	Computer Science	ABS-122
Body Weight Anthropometry Expert System for Disease Diagnosis Dini Destiani Siti Fatimah(a*), Dewi Tresnawati (b) Departement of Informatics, Sekolah Tinggi Teknologi Garut Jalan Mayor Syamsu No. 1, Jayaraga, Garut 44151 *dini.dsf[at]sttgarut.ac.id Abstract Human body measurements or anthropometry are carried out, among others, to meet industrial and health needs. Products that will be used by humans need to use anthropometry to suit the people who use them. The use of anthropometry in health, among others, is used as an indicator of health as well as a persons nutritional level. The measure that is widely used for the criteria for human health is weight. Based on body weight can be determined the level of health and the possibility of a disease suffered by a person. Knowledge of weight anthropometry is packaged in the form of an expert system so that it can be used for consultation by people who have health problems based on body weight. The methodology used in this design uses Expert System Development Life Cycle, as well as knowledge representation techniques use artificial intelligence production systems. The design results are dynamic software, which is able to overcome diseases based on body weight data. Disease is divided into two categories, namely diseases based on high body weight and low body weight. Expert System has been validated by an expert. The validation results describe the expert system can provide solutions that are in accordance with the knowledge provided. The resulting system can be run by lay people in the training process for 2 hours. The conclusions from this study are that expert systems are able to be applied to assist humans in introducing effective and efficient weight-based anthropometric diseases. The artificial intelligence production system provides a knowledge base, rule base, and control strategies for finding weight anthropometric solutions. Keywords: Antropometry, Expert Systems, Human health, Validation test. PermaLink | Plain Format | Corresponding Author (Dini Destiani Siti Fatimah)

501	Computer Science	ABS-381
Augmented reality (AR) based physics learning media for electricity concepts A Ismail1*, S Gumilar1, I F Amalia1 , D D Bhakti2 and I Nugraha3 1Department of physics education, Institut Pendidikan Indonesia, Jl. Pahlawan No.32, Garut 44151, Indonesia 2Institut Pendidikan Indonesia, Jl. Pahlawan No.32, Garut 44151, Indonesia 3Department of english education, Institut Pendidikan Indonesia, Jl. Pahlawan No.32, Garut 44151, Indonesia Abstract Physics concepts are unique because some of them are the abstract concepts so they need to be visualized so as easier to be understood. However, it is rarely the learning media that can combine the real and virtual visualization of abstract physics concepts in the same time. This present study aims to create the application that is used as the physics learning media to aid the virtual visualization of the abstract concept of physics combined with real visualization using augmented reality. The abstract concepts of physics that are visualized are electricity concepts. The waterfall method is the method utilized to test the application on the android system. There are four standards to analyze data, namely functional suitability, performance efficiency, portability, and usability―all standards are based on ISO 25010. The findings reveal that three out of four standards (i.e. functional suitability, performance efficiency, and portability) lead the application is valid and good to be used while the usability standard achieves high value based students questionnaire that means the application is valid. The implication of this present study indeed can be widened to implement the application on the physics learning in the classroom. Keywords: augmented reality, physics, electricity PermaLink | Plain Format | Corresponding Author (Ali Ismail)

502	Computer Science	ABS-126
Hybrid Principal Component Analysis and K-Nearest Neighbor to Detect the Catfish Disease D S Maylawati (1),(2),(*), R Andrian (1), S Sunarto (1), M Wildanuddin (1), A Wahana (1) (1) Department of Informatics, UIN Sunan Gunung Djati Bandung, Indonesia (2) Faculty of Information and Technology, Universiti Teknikal Malaysia Melaka, Malaysia Abstract Cathfish cultivation in Indonesia is a very promising business opportunity with a big profits. Every year, market demand continues to increase. However, this is contrary with the lack of catfish farmers knowledge, so that catfish yields are not optimal. This is because, for certain types of catfish such as Sangkuriang catfish, it is easy to contract certain diseases. This study aims to create an automated system that capable of detecting catfish disease based on its symptoms with image recognition techniques. Early detection of catfish disease can help to find out the causes and prevention, so that the yield remains optimally. The method that used in this study is Principal Component Analysis (PCA) for feature extraction in images combined with K-Nearest Neigbor (KNN) with Euclidean Distance to classify catfish diseases among others: white spots, edema (abdominal swelling), jaundice, and bent spinal disease (scoliosis and lordosis). Based on the results of the experiment using 30 images data for training and 20 images data for testing, 18 image data is classified correctly. This result proves that PCA and KNN able to detect catfish disease well with percentage of accuracy around 90%. Keywords: Catfish, Data Mining, Euclidean Distance, Image Recognition, KNN, PCA PermaLink | Plain Format | Corresponding Author (Dian Saadillah Maylawati)

503	Computer Science	ABS-383
Iris Feature Extraction Using Gray Level Co-occurrence Matrix and Gabor Kernel Filter Rosa Andrie Asmara, Rizqi Darma Rusdiyan Yusron, Faisal Rahutomo, Rudy Ariyanto, Deddy Kusbianto Purwoko Aji, Priska Choirina State Polytechnic of Malang Abstract Algorithms developed to identify people with iris image data have been tested in many field and laboratory experiment. This paper makes a parameter analysis of iris image used to recognize human. Iris recognition system, which is applied based on segmentation, normalization, encoding, and matching is also describe in this paper. Circle Hough Transform the segmentation module used to find the inner and outer boundaries of the iris. The experiment was carried out using CASIA v1 iris database with grayscale images. Shape, intensity, and location information for localizing the pupil or iris and normalizing the iris area a used iris segmentation the by unwrapping the circular area into a rectangular area. Normalized area will be used to extract the features using Gray Level Co-occurrence Matrix (GLCM) and Gabor filter, the feature compared the recognition accuracy using Support Vector Machines (SVM) and Naive Bayes classifiers. GLCM feature test results achieved 95.24% SVM classification accuracy, where as using achieved 85.71% Naive Bayes. Gabor feature test results achieved 95.24% SVM classification accuracy, where as using achieved 95.23% Naive Bayes. The classification process based on GLCM and Gabor features show that the SVM method have to highest recognition accuracy compare to Naive Bayes classifier. Keywords: Gray Level Co-occurrence Matrix; Gabor Kernel Filter; Iris Feature; Feature Extraction PermaLink | Plain Format | Corresponding Author (Rizqi Darma Rusdiyan Yusron)

504	Computer Science	ABS-128
Website for Remote Village Empowerment in Developing Countries Dini Destiani Siti Fatimah(a*), Rina Kurniawati(b) Departement of Informatics, Sekolah Tinggi Teknologi Garut Jalan Mayor Syamsu No. 1, Jayaraga, Garut 44151 *dini.dsf[at]sttgarut.ac.id Abstract The village is an area that has a low population density, homogeneous social interactions, works in the field of agriculture and is the lowest government body under the sub-district. The progress of a village varies, depending on its ease in exchanging resources for the lives of its people. Remote villages are villages that are difficult to exchange resources with other regions, so that growth is hampered. The presence of the internet is expected to be able to open access to information to empower disadvantaged villages, among others, by creating village websites. The website is one means of introducing villages to other regions, so that there is an exchange of products and cultures that increase the prosperity of the village. Based on this, the research aims to design a village website. The methodology used in this design uses the mechanism for designing object-oriented Unified Approach websites. This method provides two major stages, namely Object Oriented Analysis and Object Oriented Design, with the help of Unified Modeling Language modeling. The results of the study are village websites that provide information on agricultural products and processed products offered to other regions. Since this website can be accessed globally, information about the village can be spread throughout the world. Website information can be updated by village officials through training for six hours. System development can be done by providing consultation facilities between village officials and system makers. The conclusion of this study is that the village website produced can be used to provide information about the work of the village community so that it can be marketed to other regions. This website can also be integrated with school and marketplace web. Keywords: Marketplace, Remote Village, School, Unified Approach PermaLink | Plain Format | Corresponding Author (Dini Destiani Siti Fatimah)

505	Computer Science	ABS-897
Design of Quality Assurance Filing System Ratna Widyati Universitas Negeri Jakarta Abstract Filing or filing system is a system to find out how to store data from certain files and file organization used. Access system is a way to retrieve information from a file. Data representation consists of two, namely logical data that represents data at the conceptual level as well as physical data, namely data that has been prepared which is the final result of logical data and usually stored in storage media. Case studies taken on the filing of quality assurance in the study program environment that cover the fields of academics, student affairs and infrastructure. Keywords: filing system, logical data, physical data PermaLink | Plain Format | Corresponding Author (Ratna Widyati)

506	Computer Science	ABS-643
KNN (K-NEARB NEIGHBOR) for identification land agricultural 1.Syahminan 2.Jauharul Maknunah Universitas Kanjuruhan Malang Abstract Abstract land Agricultural, especially in South Malang Regency, where the majority of the population is the majority of the population working as farmers. The agricultural area known as Malang Regency, around 15.74% (49,593 hectares) is wetland, 31.31% (98,641 hectares) are fields. Not all types of vegetable plants can flourish on every farm, because each region has different characteristics. Therefore, to help determine the type of crop that is suitable, a waterful method is needed by specifying user requirements with planning planning stages, modeling, construction, and systems, to help determine land identification decisions as crop farming food. KN (Nearest neighbor). With a decision support method for identifying land for food crop cultivation, it will be easier to determine the type of plant that is suitable for soil conditions to increase agricultural productivity in South Malang district. Keywords: Keywords: KNN identification of land agricultural PermaLink | Plain Format | Corresponding Author (syahminan syahminan)

507	Computer Science	ABS-134
News Recommendation System using Collaborative Filtering Method A Wahana1, D S Maylawati1,2,*, B A Wiwaha1, M A Ramdhani1, A S Amin3 1Department of Informatics, UIN Sunan Gunung Djati Bandung, Indonesia 2Faculty of Information and Technology, Universiti Teknikal Malaysia Melaka, Malaysia 3Department of Industrial Engineering, Universitas Pasundan, Indonesia Abstract In the era of Internet of Things (IoT), various facts, news, and up-to-date information are presented online that can be accessed quickly, anytime, and anywhere. However, sometimes the news which dislayed is not up-to-date or not in accordance with the interests of the reader. This study aims to build a system that can recommend the latest news, which is most often accessed, and that is in accordance with the interests of the reader. The method that used in this study is Collaborative Filtering (CF) to rank news as the best recommendation for readers. Based on the results of experiments conducted on 19 examples of news, the percentage of accuracy results of the recommendations was around 84.2% compared to the manual calculation. This shows that CF capable to provide news recommendations good enough Keywords: Internet of Things (IoT), recommend the latest news, Collaborative Filtering PermaLink | Plain Format | Corresponding Author (Agung Wahana)

508	Computer Science	ABS-137
The utilization of the Scratch in making music controller to introduce traditional musical instruments J. Julia; Prana Dwija Iswara; Tedi Supriyadi PGSD Sumedang, Universitas Pendidikan Indonesia, Bandung, Indonesia Abstract Introducing traditional musical instruments to the students in the digital era needs to be facilitated by utilizing several devices, such as a computer keyboard or a laptop as music controllers. By utilizing a computer keyboard as a music controller, the students can recognize the characteristics of sounds, and play melodies from traditional musical instruments in simpler ways. Therefore, this research aims at describing the utilization of Scratch application in controlling music production through a computer keyboard. Following are steps taken: (1) install the Scratch, (2) make the sound buttons, (3) input the sound from traditional musical instruments, and (4) set the sound buttons according to computer keyboard. The production of the music controller has resulted in teaching media used for introducing the sound of traditional musical instruments and playing a series of melodies based on the availability of tone structures in a computer keyboard. The melodies can be played in single-tone, two-tone, and/or more (chord) patterns. To conclude, the utilization of the Scratch as music controllers has potentially facilitated the introduction of traditional musical instruments in the digital era to the students. Keywords: Scratch application; Musical Controller; Traditional Musical Instruments; Digitalization on Traditional Music PermaLink | Plain Format | Corresponding Author (J. Julia)

509	Computer Science	ABS-393
The Experiment of Text And Number Combination Forecasting Faisal Rahutomo, Muhamat Maariful Huda, Rosa Andrie Asmara, Awan Setiawan, Amalia Agung Septarina State Polytechnic of Malang Abstract In foreign exchange money trading, historical data are publicly available continuously. This historical data such as opening, highest, lowest, and closing rate are important variable to predict the future of rates movement. The available data is not only historical trading itself, but also from news release and expert analysis from expert trader. This kind of data contains text and number. This paper proposes in forecasting the rates by combining text and number data. The combination of text mining technique with several time series method i.e: simple moving average, weighted moving average and exponential moving average. Research period for this experiment is between 1st December 2018 and 31st January 2019. The currency pair are EURUSD, USDJPY and EURJPY. Forecasting results with some time series method were compared with combined time series forecasting method and naive bayes classifier. The experiment results show that combined time series method with naive bayes classifier delivered better accuracy level. Keywords: PermaLink | Plain Format | Corresponding Author (Muhamat Maariful Huda)

510	Computer Science	ABS-139
Strategic Planning To Improve the Competitiveness of Educational Institutions Sri Rahayu;Rinda Cahyana;Leni Fitriani Department of Informatic Engineering, Sekolah Tinggi Teknologi Garut, Jl. Mayor Syamsu No. 1, Garut 44151, Indonesia Abstract Given the global competition that is increasing with the rapid information technology that has penetrated the world of information technology strategic planning education is a mandatory solution that must be considered by Muhammadiyah 2 Kadungora Vocational School located in the region. The focus of this research is to analyze the entire business process at Muhungadiyah 2 Kadungora Vocational School, and design strategic IS / IT. This research begins by explaining the external and internal business environment of Kadungora Muhammadiyah 2 Vocational School to determine the five power models and institutions that define success. Next is an analysis of the external and internal situation of IS / IT to find out the world technology trends and the current portfolio of application institutions. The next step is the strategy process (SI, IT, and SI / IT management), then the last level is to determine the future SI / IT applications of Muhungadiyah 2 Kadungora Vocational School. The results achieved are recommendations for the IS / IT application portfolio that must be owned by Kadungora Muhammadiyah 2 Vocational School Keywords: APPLICATION PORTOFOLIO;COMPETITIVENESS;INFORMATION TECHNOLOGY;SYSTEM INFORMATION;STRATEGIC PLANNING; PermaLink | Plain Format | Corresponding Author (Sri Rahayu)

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