bluuebunny/crossref_metadata_2025 huggingface dataset:
IMPLEMENTATION OF AUGMENTED REALITY IN MOTORCYCLES INTRODUCTION LEARNING
Authors: Rahayu Sri , Darmawan Vernanda Adhitya , Nuraeni Fitri , Tresnawati Dewi
Published: January 2023

Augmented reality technology in the field of education can be used as an interactive learning media that can minimize boredom during the conventional teaching and learning process, namely by using books containing text and pictures.The advantages of augmented reality technology, it can be used to explain basic motorcycle introduction materials, which usually require a complete explanation not only from writing and pictures. Therefore, this study aims to create an interactive learning media for motorcycle engine introduction based on augmented reality. The method used in this learning media is Research and Development consisting of needs analysis, design design, design implementation, testing, expert validation, media revision, feasibility test, media improvement, and product. The results of this study are interactive learning media applications that display 3-dimensional objects regarding motorcycle engines using audio explanations for each of the existing 3-dimensional objects, as well as adding a quiz feature to increase interactivity in the teaching and learning process.
APPLICATION OF THE VIKOR METHOD FOR THE BEST JOB SEEKERS RECOMMENDATION (CASE STUDY: PT PLN RIAU AND RIAU ISLANDS REGION)
Authors: Sukamto Sukamto , Nugroho Riki Ario , Octaviani Chairia
Published: January 2023

PT. PLN (Persero) in serving the community requires quality human resources. The quality of employees in supporting the advancement of a company is very important, so many companies are trying to have quality employees. The way that can be done is by recruiting prospective job seekers according to the criteria desired by the company. The VIKOR method is a ranking method using a multi-criteria ranking index based on a certain measure of proximity to the ideal solution. The alternative consists of 10 job seekers, with the criteria used are Endurance tests, academic tests, psychological tests, laboratory tests and interview tests. The final result is to provide recommendations for the five best job seekers in the order of AB, AC, AD, AF and AG.
TOPIC MODELING USING THE LATENT DIRICHLET ALLOCATION METHOD ON WIKIPEDIA PANDEMIC COVID-19 DATA IN INDONESIA
Authors: Nawang Sari Wilujeng Ayu , Dwi Purnomo Hindriyanto
Published: January 2023

Wikipedia is a web-based encyclopedia that is used to search for information. In one of the Wikipedia articles, a problem has been found regarding no one has clustered on the topic of the Covid-19 pandemic in Indonesia. The method used for this research is the Latent Dirichlet Allocation (LDA) method. The Latent Dirichlet Allocation (LDA) method is the most widely used topic modeling method today. In this study using 6658 words in English that will be used for the dataset. Then every word that appears will be counted using Corpus. This study applies topic modeling using the Latent Dirichlet Allocation (LDA) model and how to analyze COVID-19 data taken from Wikipedia. The LDA method will cluster by looking at the number of words that appear in Corpus and will determine the number of clusters and the number of topics and determine the iteration. The purpose of this study is to classify the information contained in the Wikipedia Article so that it can be used as an evaluation material in improving services and handling Wikipedia using the latent direchlet allocation method. The LDA method will mark every word contained in the topic in a semi-random distribution and will calculate the probability of the topic in the dataset and will calculate the probability of the word on the topic of each iteration. In this study, 5 iteration tests were conducted on topic modeling and a number of different topics. After the experiment is carried out, the final results obtained will be analyzed and get 1 number of topics with the best results with the most discussion topics regarding health.
IMPLEMENTATION OF FLASK FOR STOCK CHECKING IN DISTRIBUTION CENTER & STORE ON MONITORING STOCK APPLICATION IN PT. XYZ
Authors: Wibowo Putri Alpha Adarrani , Susetyo Yeremia Alfa
Published: January 2023

In a retail company stock control is a very important feature. Stock control that is done manually has many weaknesses especially for large companies that has many transactions in a day. This research aims to implement flask framework for control stock on the Monitoring Stock application at PT. XYZ. Flask framework was chosen because of its easy use and has a lot of libraries. The implementation of this flask framework uses the MVC architecture (Model, View, Controller). Then, it will be tested using box testing to ensure all features can run properly. Through the implementation of flask framework on the Monitoring Stock application, stock control at PT. XYZ can be more controlled so it can avoid losses due to stock miscalculations.
ROBOTIC PROCESS AUTOMATION FOR QUALITY CONTROL ASSESSMENT USING SELENIUM
Authors: Avrianto Refgiufi Patria , Faried Mochamad Isnin , Dazki Erick , Indrajit Richardus Eko
Published: January 2023

Robotic Process Automation (RPA) is a form of technology to automate tasks and routines performed by humans, which can be instructed to machine. Along with the rapid development of technology, the time that can be used to maintain the quality of a technology is becoming increasingly narrow. Therefore, RPA will imitate activities or tasks performed by humans on a computer with a much faster processing time and 100% accuracy without "human error". The agile method was chosen in this study because of its focus on flexibility and more responsiveness to required changes. The system developed in this paper uses the Selenium library with the Python programming language and retrieves task data from the MNC IT team, especially the QC division for the RCTI+ website Quality Assessment process. From the results of testing this system, it shows that the testing process using this system and testing from a tester / examiner get the same results. However, because this system is programmed, it will have more stable and efficient results.
IMPLEMENTATION OF THE TOGAF FRAMEWORK ON A VIRTUAL TOUR OF WEB-BASED CILETUH GEOPARK TOURIST ATTRACTIONS
Authors: Amarulloh Ramdani , Muslih Muhammad , Arianti Nunik Destria
Published: January 2023

Ciletuh Geopark area is one of the marine tourism in Sukabumi regency. This tour has been recognized by UNESCO both nationally and internationally which now has changed its name to Ciletuh Geopark. However, in the management of information technology, there are still several problems, including the lack of information about the condition of the tourist attraction in Palabuhan Ratu Ciletuh Geopark, Sukabumi Regency. This study designed an information system based on a virtual tour website with the aim of being able to help tourists and the people to be able to find information online about Geopark Palabuhan Ratu Ciletuh tourist attraction, Sukabumi Regency with various existing tourist objects that can be accessed via the internet. This study uses the togaf framework where this framework has a systematic nature so that it is more flexible. Sources of data were taken by searching online from several sources related to the Ciletuh Geopark, Sukabumi Regency. The results obtained are in the form of a 3D virtual tour website where this website displays a 360 panorama along with information from each tourist attraction location as well as testing using blackbox and UAT (User Acceptance Test) every feature on the VIRGEO (Virtual Geopark) website has been fulfilled so that users can more easily access and find out the condition about Palabuhan Ratu Ciletuh Geopark tourist attraction, Sukabumi Regency easier.
WEB-BASED EXPERT SYSTEM TO DIAGNOSE OVARIAL CYST DISEASE USING CERTAINTY FACTOR METHOD
Authors: Sundari Ayu , Yusda Riki Andri , Christy Tika
Published: January 2023

Ovarian cysts are one of the most common forms of reproductive disease affecting women. Cyst or tumor is a form of abnormality that can be regarded as a benign growth of smooth muscle cells in the ovaries. Cysts are usually harmless but do not rule out the possibility of a malignant cyst or even turn into cancer. The thing that makes ovarian cysts dangerous is when they burst, are very large, or block the blood supply to the ovaries. Lack of knowledge of the general public about the symptoms that cause ovarian cyst disease makes it too late to detect this disease early so it is slow in handling, there are even some cysts or tumors which when they become malignant are only detected as having ovarian cysts, as well as unhealthy lifestyles of today's society such as consuming alcohol, fast food, causing the body to produce more chemicals. To overcome this problem, the design of a web-based expert system to diagnose ovarian cyst disease using the certainty factor method is made to assist the public or users in diagnosing through the symptoms they feel. The method used to diagnose ovarian cyst disease is the Certainty Factor method. From the calculations that have been inputted by the user, the results obtained are 97% confidence that the patient is likely to be diagnosed with cystadenoma ovarii mucinosum. With this web-based expert system program, it is hoped that the general public or users can diagnose ovarian cyst disease through the symptoms felt so as to minimize the possibility of the cyst becoming malignant.
“IMPROVING GRADE 6 LEARNING OUTCOMES USING LEARNING MEDIA INFORMATION SYSTEM (CASE STUDY OF KRISTEN PENABUR WACANA ELEMENTARY SCHOOL PURWOREJO)"
Authors: Sugianto Victoria Angela , Afuan Lasmedi , Chasanah Nur
Published: January 2023

The Covid-19 pandemic that has entered since March 2020, requires every sector to carry out all their activities online. One of them is in the field of education. SD Kristen Penabur Wacana is having difficulty providing additional classes or enrichment to grade 6 students. Due to the Covid-19 pandemic, students are learning online. Parents of grade 6 students admit that it is difficult to find additional material and teach it to their children. The school also does not have a learning system that can facilitate students in online learning. To overcome the existing problems, the researcher created an information system entitled “Sistem Informasi Media Pembelajaran Untuk Meningkatkan Hasil Pembelajaran Kelas 6 Sekolah Dasar (Studi Kasus SD Kristen Penabur Wacana Purworejo)”This system was created to make it easier for schools to provide additional classes or online enrichment. The development method used in this research is the Waterfall method. This system is built using the Codeigniter framework. Testing on this system shows that there are no failures in each module's functionality, so that this system is in accordance with user needs. With the information system built, it can make it easier for the school to provide additional classes or enrichment and to improve the learning outcomes of grade 6 students.
KNOWLEDGE BASED RECOMMENDATION MODELING FOR CLOTHING PRODUCT SELECTION RECOMMENDATION SYSTEM
Authors: Atina Vihi , Hartanti Dwi
Published: January 2023

One of the markets which is the largest wholesaler of clothing in Central Java is the Klewer market area and its surroundings. The Simple Inc Store is one of the clothing stores in the area. Simple Inc Store is a large kiosk that sells clothing products in the form of various types of t-shirts, shirts, jackets, sweaters and pants. Sales of products in these stores are still done conventionally, namely customers come directly to the store to choose and buy products. The number of clothing products that are sold makes customers experience difficulties in the process of selecting clothing products. Therefore, it is necessary to develop a recommendation system that can assist customers in choosing clothing products. The purpose of this research is to create a Knowledge Based Recommendation model for the Recommendation System for Selection of Clothing Products. The system development method used in this research is Rapid Application Development (RAD), which consists of stages, namely business modeling, data modeling and process modeling. The recommendation system method used in this research is knowledge based recommendation. Knowledge based recommendation has the advantage of being able to set the level of user priority based on the user's needs for the product by calculating the similarity value between customer needs and clothing product attributes. Knowledge based recommendation modeling for this clothing product selection recommendation system can provide 5 choices of clothing product search attributes, namely brand, price, material, color and size. Based on the results of modeling the knowledge based recommendation method with 20 sample data, it can provide recommendations for clothing products based on the criteria needed by customers by calculating the similarity value between customer needs and the attributes possessed by each clothing product. Clothing products with the highest similarity value will be displayed as a result of clothing product recommendations, namely the highest similarity value of 0.6 is obtained for Maternal t-shirts. The results of this knowledge-based recommendation modeling can be used as a reference in developing a recommendation system for the selection of clothing products.
AUGMENTED REALITY FOR VISITING GUIDE TO THE LIBRARY ROOM
Authors: Putri Yanova Sasti Diana , Padli Nasution Muhammad Irwan
Published: January 2023

Libraries are one of the places that have an important role in the world of education, in this era libraries are often overlooked because technology is very helpful for daily human activities, causing a lack of interest in reading from humans themselves. The problem that exists in the public library of campus IV UINSU Medan is how visitors have difficulty finding shelves or finding the books they need so they need directives from officers. Augmented reality technology in this application uses the markerless method to bring up 3D objects from the public library building of the campus IV UINSU Medan. The results of this application program are called digital libraries which can make it easier for users to find rooms as well as books available in the library, without the need to ask the security guards or officers. Based on the blackbox testing that has been done, this application has been running as expected by the application developer. This application works runs on the android operating system and work offline, which makes its easy for users to use it.
IMPLEMENTATION OF THE AHP-TOPSIS METHOD IN DECISION MAKING OF SOCIAL ASSISTANCE RECIPIENTS IN KARANGANYAR GUNUNG SEMARANG
Authors: Fitri Dinda Locita , Supriyanto Aji
Published: January 2023

The government's program of Social Assistance (Bansos) aims to improve the welfare of poverty in order to increase economic value, targeting that the recipients of the social assistance are the poor. There are still some obstacles in receiving social assistance, which are considered to be uneven, duplicate data and mistargeted. There are various models of determining poverty, one of which is based on calculations from the Central Statistics Agency (BPS). These provisions are used by the government in providing social assistance to be right on target. The determination of social assistance recipients according to BPS has 14 poverty criteria, namely: eating as much as a day, medical expenses, sources of income, sources of lighting, cooking fuel, toilet facilities, consumption of types of food, floor area, types of walls, sources of drinking water, savings , type of floor, buying clothes, and education of the head of the household. Using the Analytical Hierarchy Process (AHP) and the Technique Order Preference by Similarity to Ideal Solution (TOPSIS) which are used to rank Social Assistance recipients. The AHP method is used to weight the poverty criteria, while the TOPSIS method is used to rank alternative social assistance recipients, so as to produce recommendations for social assistance recipients. The test was carried out using 45 data from prospective social assistance recipients, the result was that the eligible recipients were in first place A4 with a value of -11.09028, in second place A5 with a preference value of -9.40301, third place A2 with a value of -7.30247 , fourth in A1 with a preference value of -4.33412, and fifth in A3 with a preference value of 9.35849.
DATA MINING CLUSTERING FOOD EXPENDITURE IN INDONESIA
Authors: Julianto Indri Tri , Kurniadi Dede , Nashrulloh Muhammad Rikza , Mulyani Asri
Published: January 2023

The availability of food in a country is determined by a conducive climate. Prolonged droughts, floods, and natural disasters, especially for food crop production areas, will have an impact on the availability of natural disaster conditions faced by all countries including Indonesia is the Covid-19 pandemic, where this will affect food security in Indonesia. Data mining is the process of discovering the hidden meaning of a very large data set. The technique used in this study is Data Mining Clustering and the validity index used is Davies-Bouldin. This study aims to determine the Food Security Strategy in Indonesia through the Data Mining Clustering process based on food expenditure data and the Indonesian people's food expenditure per capita. The methodology used is Cross Industry Standard for Data Mining using the K-Means and K-Medoids Algorithm. The best cluster for the K-Means Algorithm is K=7 with a value of 0.341 and for the K-Medoids Algorithm, it is K=7 with a value of 0.362. This research produces the best algorithm, namely K-Means with a value of  0.341, which has a smaller value than K-Medoids with a value of 0.362. The results showed that the regional. cluster with the highest average expenditure on food was cluster 5 covering the DKI Jakarta area, while the cluster with the lowest expenditure was cluster 6 covering Central Java, East Nusa Tenggara, Southeast Sulawesi, Gorontalo, and West Sulawesi. In cluster 6, it is necessary to implement a strategy to increase food security by increasing production capacity and food reserves in each region.
IMPLEMENTATION OF A SCHOOL INFORMATION SYSTEM USING RAPID APPLICATION DEVELOPMENT METHOD
Authors: Suwandi Hariadi , Harlinda Harlinda , Mansyur Sitti Hajrah
Published: January 2023

The learning process in schools is the best public policy tool as an effort to increase knowledge and skills. In addition, many students think that school is a very fun activity, they can interact with each other. During the pandemic, the learning system has implemented a blended so that every school strives to have an information system. This study aims to assist the school and parents in processing student grades, school information related to academic and non-academic activities as well as communication space between teachers and parents. The method used is Rapid Application Development (RAD) which is intended to provide much faster development and successfully develops the system within 90 days with the stages of Requirements Planning, Workshop Design RAD and Implementation. Based on the questionnaire given in accordance with the 7 aspects of the web application testing criteria, content testing was obtained 55%, interface testing 32%, navigation testing 69%, component testing 32%, configuration testing 55%, performance testing 32% and security testing 51%. Based on the questionnaire given in accordance with black box testing, it was obtained by 88%. The results obtained were successful in creating a web and mobile-based Cambaya IV application that can be used as a processing of student grades, school information related to academic and non-academic activities as well as a communication room between teachers and parents in the form of a chat feature.
MODELING OF THE “IDRESM” ELECTRONIC JOURNAL PUBLICATION PORTAL USING THE WATERFALL MODEL
Authors: Irawan Ridwan Dwi , Adha Muh , Sadana Muhamad Paliya , Washilatul Arba’ah Zitnaa Dhiaaul Kusnaa , Utami Ema
Published: January 2023

The utilization of various information technologies can increase the effectiveness and efficiency of the scientific publication process. Design can realize one of the uses of Information Technology in designing an electronic journal information system is that tools can use to solve these problems. The electronic journal information system is the collection, data collection, management, and or publication of scientific journals electronically. In addition, if the correct information can accompany the selection of journals, it will increase the effectiveness of publication activities in terms of time efficiency. Therefore, to support time management must be supported by a system design that includes journal subsystem information in planning the selection of open access journals when publishing. Based on the description above, this integration system aims to assist in compiling a journal integration system design based on software requirements analysis. In addition, the system development method used is the waterfall which consists of requirement analysis, system design, implementation, testing, deployment, dan operation & maintenante. The design uses a DBMS, UML, ERD, Wireframe, and database implementation.The results indicate that the system can assist in selecting journals that are following their fields to estimate open access journals based on the estimated submission time. In addition, the integrated approach that has been successfully implemented as a system has four subsystems: the primary database, human resource system, index system, and payment system.
IMPLEMENTATION COBIT 2019 FOR EVALUATION OF HEALTH CLINIC INFORMATION SYSTEM GOVERNANCE IN CENTRAL JAVA
Authors: Ilham Akbar Sodik  , Nugraheni Dinar Mutiara Kusumo
Published: January 2023

The clinic is one of the small and medium-scale public facilities that provide individual health services with basic and detailed services. The application of information systems in health clinics has been carried out in recent years to support good performance in health services for the community. This study aims to evaluate the capability of information system governance that has been implemented in health clinics. The evaluation of this information system uses COBIT 2019. The latest framework is used as a guide in the evaluation of governance. COBIT 2019 has 10 design factors and 40 domains, which will then be the top domains that will be used to analyze information system capabilities. The results were obtained in several domains, including BAI02, BAI03, and BAI07. Furthermore, the results were obtained from the level of information system capability for each domain, namely the BAI02 domain with level 3 capability, the BAI03 domain with level 4 capability, and the BAI07 domain with level 3 capability. Two domains still have gaps, namely BAI02 and BAI07. Then this research also produces several recommendations to achieve the specified target level, such as being able to build your information system without relying on third parties and being able to design operational standards and guidelines that can be used in the transition to technological change.
ANALYSIS OF THE EFFECTS OF FERTILIZER ON THE QUALITY OF THE MUSTARD PLANT (BRASSICA CHENENSIS L) USING REGRESSION LOGISTICS METHOD
Authors: Setyaningsih Rufina Rahma Ajeng , Hindriyanto Dwi Purnomo
Published: January 2023

Based on the existing problems related to the trial of fertilizer produced by PT Petrokimia Gresik with the ZA variant on pakcoy plants with polybag, this study aimed to determine the best fertilizer for mustard pakcoy and the relationship between root length, plant height, number of leaves and plant weight due to ZA variation of fertilizer application. The research was carried out at the Greenhouse of the Research Department of PT Petrokimia Gresik in January 2022. This study was visualized between the variables and processed using the binary logistic regression method. The data obtained was then processed using three tools, namely Jupyter notebook, Power BI, and Rstudio. The results showed that the relationship between root length, body weight had a different relationship with treatment and the number of leaves that were not in the same direction with good treatment for mustard pakcoy with polybag media was behavior B, where B contained 2,000 kg of Petroganic fertilizer, 400 kg of NPK, Urea NPBPT (2) 300kg.
FORECASTING THE GOLD JEWELRY SALES USING SINGLE EXPONENTIAL SMOOTHING METHOD
Authors: Ariza Nur , Manurung Nuriadi , Handayani Masitah
Published: January 2023

Gold is a precious metal that plays an important role in people's daily lives. People use gold jewelry as a dowry so that gold is sought after, such as earrings, necklaces, pendants, bracelets, rings and others. However, buying and selling gold jewelry at a gold jewelry store has a different strategy. Gold sellers must carry out the gold jewelry production process to meet gold jewelry supplies and market demand. The results of the sale of gold jewelry sometimes increase and decrease every day which cannot be predicted every day, so this can affect the store to find out the profits and losses that will be obtained in the future. The purpose of this study was to determine the results of forecasting sales of gold jewelry at the Yoga Gold Shop using the single exponential smoothing method in the coming month. The results of this study resulted in March 2022 9 carat gold jewelry totaling 4191.16 grams with a 3.01% MAPE, 10 carat gold totaling 2095.53 grams with a 3.01% MAPE, Surabaya gold 1047.76 grams with a 3.03% MAPE and london gold jewelery 523.83 grams with a MAPE of 3.41%. So it can be concluded that applying the single exponential smoothing method can help in predicting the sales results of gold jewelry.
OPTIMIZATION OF MARKET BASKET ANALYSIS USING CENTROID-BASED CLUSTERING ALGORITHM AND FP-GROWTH ALGORITHM
Authors: Nuraeni Fitri , Tresnawati Dewi , Handoko Agustin Yoga , Fauzi Gisna
Published: January 2023

The proliferation of the food and beverage sales business requires the creativity of business owners to offer their flagship products to every consumer, both new and subscribed consumers. A large number of menu choices makes the ordering process long because consumers are confused about which menu will be the best choice. the seller to be able to provide the right recommendations so that orders can take place faster. Shopping cart analysis is an activity that has often been done to find out the items found that are sold simultaneously. The FP-Growth association method is a faster algorithm for generating association rules, but the association process in large dataset sizes tends to add large items so that the accuracy value of association rules decreases. So that in this study, the grouping of datasets was carried out using a clustering model with a centroid-based algorithm, namely k-means, k-medoids, and fuzzy c-means. This research was conducted through dataset collection, dataset preparation, clustering modeling, evaluation of clustering models using DBI and silhouette index, association modeling, and evaluation of association models using lift ratio. The results of this study showed that the clustering model with the best DBI and silhouette index values ​​was at k=3 for k-means, k=2 for k-medoids, and k=7 for fuzzy c-means. The number of association rules is generated from the grouped data set using fuzzy c-means, but the highest average lift ratio is in the association rules generated from the grouping data set using k-means. From the association model using k-means and FP-Growth, 32 unique association rules were found with the 4 most frequently found items, namely cireng chili oil, regal milk coffee, banana cheese, and vietnam drip.
USABILITY EVALUATION OF THE WEBSITE SERVICES USING THE WEBUSE METHOD (A CASE STUDY: PUSTAKAARSIP.KAMPARKAB.GO.ID)
Authors: Saputra Riyo , Jazman Muhammad , Syaifullah Syaifullah , Hamzah Muhammad Luthfi
Published: January 2023

This researcher aims to find the DISPERSIP website in terms of usability using Website Usability Evaluation (WEBUSE) to determine which parts need to be improved. The Kampar Regency Library and Archives Service have implemented one of the online-based library services with the implementation of a website in the library and archives section of Kampar Regency. The aim is that governance relationships involving the Government, the private sector and the community can be created to be more effective, efficient, productive and responsive. In its application, problems arise, such as incompatibility of menu names, no back button, colour differences, and inactive links and errors—an unprecedented evaluation of the website's usability. The WEBUSE method determines the usability level of a website based on the user's perspective. Data collection was carried out using a questionnaire distributed to all active members of the library with a definite website with a total of 100 respondents based on the slovin formula. Based on the results of the usability evaluation, the DISPERSIP website got a good usability level for the four categories of usability in the WEBUSE method, namely Content, Organization and Readability with a value of 0.70, Navigation and Links with a value of 0.69, User Interface Design with a value of 0.70 and Performance and Effectiveness got a score of 0.60. Overall the DISPERSIP website has good usability with a value of 0.67, and there are eight recommendations for usability improvements based on the problem.
SENTIMENT ANALYSIS USING K-NEAREST NEIGHBOR BASED ON PARTICLE SWARM OPTIMIZATION ACCORDING TO SUNSCREEN’S REVIEWS
Authors: Rahayu Anita Nur Syifa , Hermanto Teguh Iman , Nugroho Imam Ma'ruf
Published: January 2023

High UV exposure and tropical climate are afftected by the equator that passing through Indonesia. In this case, early aging will haunted not only by skincare lovers but also the rest of  Indonesians including male and female. By so, we need to protect our skin using sun protector like sunscreen. Sunscreen application awareness through reviews by many different user probably are the most effective way to get to know the suitable sunscreen. By scrolling through the reviews surely will be time wasting. As of, sentiment analysis is the solution to classifying between negative and positive sentiments from the reviews. This research uses K-Nearest Neighbor (K-NN) algorithm as classification method because this method way more easy and efficient to use by its self learning, thus K-NN can learned its own data through its neighbor. Particle Swarm Optimization is used to increasing the accuration. Evaluation method using Confusion Matrix and the results are accuracy, precision and recall. Classification result using only k-NN and optimized with PSO are getting increase. Brand ‘Azarine’ rank the first accuration value with 91,89% using k-NN and 92,80% using k-NN PSO.
GROUPING THE PREVALENCE OF DISEASE CASES BY AGE IN BANDUNG CITY HOSPITALS USING K-MEANS
Authors: Soliani Irfan , Juanita Safitri
Published: January 2023

In 2019, the World Health Organization (WHO) stated that the top 10 types of diseases accounted for 55% of the 55.4 million deaths in the world. Meanwhile, in Indonesia, the province of West Java has the largest population, with the capital city of Bandung. Based on the health profile of the Bandung City Hospital, there were the ten highest diseases based on 18,147 cases. However, the data has not been processed into helpful information for the health department, especially the city of Bandung, to help determine disease cases by age group. So that the contribution of this study is to classify the prevalence of disease cases by age in Bandung City Hospital; this study aims to help the Bandung City Health Office take preventive, treatment and counselling actions against diseases that have a prevalence of disease cases based on age. This study uses the CRISP-DM methodology, with the K-Means clustering method and the testing method using the elbow method and the Davies-Bouldin Index (DBI). Data processing using rapid miner software and python programming. This study concludes that the optimal cluster value is K=2. The value of cluster 0 consists of the type of disease with the lowest case, and cluster 1 consists of the kind of disease with the highest case. Cluster 1 is the elderly and adult age group, while the age group in cluster 0 is the infant age group, the toddler age group, and the child age group.
FORECASTING PRICES OF FERTILIZER RAW MATERIALS USING LONG SHORT TERM MEMORY
Authors: Ivan Eliansion , Purnomo Hindriyanto Dwi
Published: January 2023

This study uses long short term memory (LSTM) modeling to predict time series data on the price of fertilizer raw materials, namely prilled urea, granular urea, ammonium sulphate((NH4)2SO4), ammonia (NH3), diammonium phosphate((NH4)2HPO4 ), phosphoric acid (H3PO4), phosphate rock (P2O5), NPK 16-16-16, potash, sulfur, and sulfuric acid (H2SO4). Predictions are made based on data that existed in the past using the long short term memory method, which is a derivative of the recurrent neural network. Carry out the evaluation process by looking at the root mean square error (RMSE) and mean absolute percentage error (MAPE) of the model that has been created. The results obtained are quite good, as seen from the root mean square error (RMSE) and mean absolute percentage error (MAPE) which are close to 0 and not too high. Sulfur raw material got the smallest root mean square error (RMSE) with a score of 0.053 and diammonium phosphate raw material got the smallest mean absolute percentage error (MAPE) evaluation value with 2.3%, while the largest value was for the root mean square error (RMSE) of raw materials. Phosphoric acid fertilizer raw material with a value of 22,979 and the largest mean absolute percentage error (MAPE) comes from sulfuric acid fertilizer raw material with a value of 9.180%.
THE THE EFFECT OF ABDURRAB UNIVERSITY LIBRARY WEBSITE QUALITY ON USER SATISFACTION USING MULTIPLE LINEAR REGRESSION AND IMPORTANCE PERFORMANCE ANALYSIS
Authors: Surya Hamdani Dasri , Jazman Muhammad , Luthfi Hamzah Muhammad , Anofrizen Anofrizen
Published: January 2023

Abdurrab University library website is an effort to improve services in providing information in the form of physical book data and digital collections to its users. This study aims to analyze the influence of the quality of the Abdurrab University library website on user satisfaction based on end user perceptions. The WebQual 4.0 method was modified by the researcher with the addition of the variables user interface quality and the quality of reliability to compile this research instrument. The distribution of questionnaires was carried out online and offline to 96 respondents obtained from the results of sample calculations using the slovin formula from a total population of 2552 people. The quality of Abdurrab University library website based on multiple linear regression analysis partially variables Usability Quality and The Quality of Reliability affect user satisfaction while simultaneously all WebQual 4.0 variable modifications affect user satisfaction. The influence of independent variables on dependent variables received a value of 43.6% and 56.4% was influenced by independent variables that were not used in this study, so the quality of the website was classified as poor. The quality of Abdurrab University library website is based on Importance Performance Analysis (IPA) for conformity level analysis of 85.29% and gap analysis of -0.55, with a conformity level analysis value of 85.29% of websites is good. The conclusion of this study is that the quality of the Abdurrab University library website affects user satisfaction, so this research can be used as a reference for improvement by the Abdurrab University library.
IMPLEMENTATION OF WEB-BASED NAIVE BAYES ALGORITHM FOR DETERMINING DEPARTMENTS AT SMK 10 MUHAMMADIYAH KISARAN
Authors: Sabila Nurlaili , Saputra Herman , Dewi Muthia
Published: January 2023

Determination of majors is very important for the convenience of prospective students in the process and continuation of education so that they do not experience difficulties in the teaching and learning process in the future. SMK 10 Muhammadiyah Kisaran is one of the private vocational schools in Asahan that provides 3 majors including Audio Video Engineering (TAV), Computer and Network Engineering (TKJ), and Motorcycle Engineering and Business (TBSM). SMK 10 Muhammadiyah Kisaran does not yet have a special system for selecting majors so that prospective students are welcome to choose majors according to their own wishes, not a few students find it difficult because the students themselves do not understand their abilities.so that it’s not uncommon for students to choose majors in a random way or follow their friends' choices. Therefore we need a system that can help prospective students in selecting majors that match their interests and talents and reduce mistakes in choosing majors. The technique used for the classification data mining model in this study is the Naïve Bayes Algorithm. The dataset that will be used as training data and test data is data for new students for the 2021/2022 school year, to be precise, for class X SMK 10 Muhammadiyah Kisaran obtained from the results of documentation and questionnaires. The criteria used were school origin, gender, interests, major, influence of friends, parental suggestions, math scores, English grades, and science grades. The results of the classification modeling with the Naïve Bayes Algorithm produce an accuracy value of 89%.
SERIOUS GAME : LEARNING DIGITAL FORENSIC ACQUISITION TECHNIQUES TO INCREASE COMMUNITY AWARENESS
Authors: Pamungkas Muh. Ditra , Hidayat Syarif , Prayudi Yudi
Published: January 2023

One of the common causes of cybercrime is the lack of education and public awareness of cybercrime and digital forensics, such as acquisition techniques. So far, only a few people know in general the digital forensic acquisition technique, because learning about this acquisition technique is difficult to obtain and difficult to understand. This study aims to apply Serious Game as a solution in increasing understanding and at the same time promoting the importance of basic acquisition techniques in the world of digital forensics to the public. The method used in this study is the Design Thinking method, which consists of: Empathize, Define, Ideate, Prototype, and Test. The results obtained in this study are a serious game built using the Unity 3D application. There are several displays produced, including: splash screen, quests/challenges, instructions, simulation of acquisition techniques, selection of evidence, and quizzes. Based on the blackbox testing carried out, it was found that the application had been developed as expected.
Potensi Lestari dan Beberapa Aspek Biologi Ikan Pari (Dasyatis sp.) sebagai Tinjauan Status Perikanan Tangkap di Laut Jawa
Authors: Mahdiana Arif - , Sulistyo Isdy , Junaidi T.
Published: January 2023

Ikan Pari merupakan komoditas ikan demersal di perairan Indonesia yang semakin menurun produksi tangkapannya. Tujuan dari penelitian ini adalah mengetahui potensi lestari dan beberapa aspek biologi ikan Pari dengan menggunakan indikator Maximum Sustainable Yield (MSY) sebagai status penangkapan di laut Jawa. Data hasil tangkapan dan upaya diambil dari data produksi tahun 2006-2015 dan data primer untuk mengetahui beberapa aspek biologinya diambil sempel di TPI pelabuhan Cirebon dan Tegal Data spesifikasi alat tangkap ikan Pari diperoleh dari wawancara nelayan. Data hasil tangkapan di analisis menggunakan Metode Surplus Produksi (Schaefer) dan aspek biologi ikan pari yang diamati antara lain : nisbah kelamin dan distribusi ukuran panjang ikan Pari. Hasil penelitian menunjukkan nilai MSY ikan Pari sebesar 894,275 ton/tahun dan fMSY sebesar 34,716 kapal/tahun. Nisbah kelamin ikan Pari Jantan dengan ikan Pari betina masih seimbang, yaitu 1 : 1,34 dan ukuran frekuensi panjang masuk kedalam kategori ikan yang belum matang gonad dan ikan yang pertama kali matang gonad, yaitu berkisar antara panjang 16 – 22 cm baik ikan Pari jantan maupun betina. Berdasarkan hasil penelitian dapat disimpulkan bahwa penangkapan ikan Pari di laut Jawa masih dalam kondisi lestari dengan kondisi ikan masih muda.
Analisis Faktor-Faktor yang Mempengaruhi Pendapatan Usaha Pembenihan Ikan Gurami (Osphronemus Gouramy) di Hatchery Sri Utama
Authors: Nugraha Bayu Angie , Junaidi T. , Pramono Taufik Budhi
Published: January 2023

Ikan Gurami (Osphronemus gouramy) merupakan ikan hasil budidaya air tawar yang digemari dan memiliki nilai ekonomis penting. Dalam hal ini, Pokdakan Sri Utama berperan sebagai sentra usaha pembenihan Ikan Gurami. Penelitian ini bertujuan mengetahui seberapa besar pengaruh faktor produksi dan faktor yang paling berpengaruh terhadap pendapatan usaha pembenihan. Data dikumpulkan dengan menyebarkan kuesioner dan wawancara mendalam secara sensus kepada 34 responden. Selanjutnya data yang terkumpul dianalisis dengan analisis regresi linear berganda menggunakan SPSS Versi 25. Hasil uji-t (parsial) dalam penelitian  menunjukkan variabel luas kolam dan bibit berpengaruh secara signifikan sedangkan pakan dan tenaga kerja berpengaruh tidak secara signifikan terhadap pendapatan. Berdasarkan hasil uji-F (simultan) diperoleh nilai  sebesar 19,794 dengan nilai signifikansi 0,000. Secara bersama-sama pendapatan dipengaruhi oleh luas kolam, pakan, bibit, dan tenaga kerja sebesar 73,2%. Berdasarkan hasil analisis regresi diperoleh nilai koefisien variabel luas kolam, pakan, bibit dan tenaga kerja berpengaruh secara positif terhadap pendapatan. Untuk rata-rata pendapatan yang diterima oleh pembudidaya ikan di Sri Utama setiap bulannya sebesar Rp 4.405.000. Saran yang dapat diambil berdasarkan hasil temuan ini adalah perlu adanya pembudidayaan cacing sutera (tubifex sp.) sebagai pakan utama. Selain itu hendaknya ada penelitian lebih lanjut mengenai pola distribusi dan kualitas air di Pokdakan Sri Utama.
Penentuan Jenis Kelamin Barbonymus balleroides berdasarkan Karakter Truss Morfometrik di Sungai Logawa Banyumas
Authors: Hidayat Amar Noor , Muslih Muslih , Sari Lilik Kartika
Published: January 2023

Beberapa karakteristik morfometrik diukur untuk mengidentifikasi jenis kelamin Barbonymus balleroides dari Sungai Logawa, Kabupaten Banyumas, Jawa Tengah. Sebanyak 87 individu (25 jantan, 37 betina dan 25 jenis kelamin tidak diketahui) dikumpulkan dari tiga stasiun di Sungai Logawa dengan alat tangkap jaring. Dua puluh satu jarak truss morfometrik diukur menggunakan aplikasi image-J. Hasil analisis uji-t menunjukkan sepuluh karakter morfometrik yang berbeda nyata antar jenis kelamin, yaitu: panjang kepala, tinggi kepala, jarak rahang bawah ke operkulum atas, jarak operkulum bawah ke sirip perut, jarak sirip punggung ke sirip perut, operkulum atas ke sirip perut, jarak sirip punggung ke sirip dubur, sirip punggung ke sirip perut, dan tinggi pangkal ekor.
Agen Biologis Bioremediasi Logam Berat (Heavy Metal Bioremediation Biologycal Agents)
Authors: Aznur Bima Syifa , Nisa Siti Khoirun , Septriono Wahyu Adi
Published: January 2023

Environmental pollution from hazardous waste materials, organic pollutants and heavy metals has had a negative impact on natural ecosystems to the detriment of humans. These pollutants arise from anthropogenic sources as well as natural disasters such as hurricanes and volcanic eruptions. Toxic metals can accumulate in agricultural land and enter the food chain, thus becoming a major threat to food security. Conventional and physical methods are expensive and ineffective in areas of low metal toxicity. Therefore, bioremediation is an environmentally friendly and efficient method of reclamation of heavy metal contaminated environments by utilizing biological mechanisms inherent in bacteria, fungi, algae and plants to eradicate harmful contaminants. This review discusses the elimination of heavy metal pollution carried out by bacteria, fungi, algae & plants through extracellular and intracellular mechanisms. Heavy metal bioremediation activities are not only focused on economic aspects, but must be integrated, efficient and sustainable.
CORRELATION OF ASPARTATE AMINOTRANSFERASE TO PLATELET RATIO INDEX (APRI) WITH THE DEGREE OF SEVERITY LIVER ORGAN IN CIRRHOSIS HEPATIC PATIENTS
Authors: Rakhman Mahendra Aulia , Indriani Vitasari , Arini E Dwi
Published: January 2023

Background: Cirrhosis hepatic is a chronic liver disease characterized by the replacement of liver tissue into scar tissue resulting in decreased liver function. The patient's diagnosis is gold standard for cirrhosis hepatic by invasive assessment cause tissue damage. The development of the way of diagnosis with secondary markers is APRI score was considered quite good in determining cirrhosis hepatic. On the other to, there is a method for assessing the severity of the liver organ in patients with cirrhosis hepatic using the Child-Pugh score. APRI scores and Child-Pugh scores are based on the calculation of secondary markers caused by hepatocyte cell fungtional damage. This is very useful in the early diagnosis of cirrhosis hepatic patients using simple markers and predicting the severity of the liver organ to assess further prognosis and management.

Objective: To knowing the correlation of APRI index with the degree of severity liver organ in cirrhosis hepatic patients in RSUD Prof. dr. Margono Soekarjo. Specifically, it aims to determine the APRI score and Child-Pugh score in patients with cirrhosis hepatic.

Methods: This study used a cross sectional design with a sample of 31 patients with a diagnosis of cirrhosis hepatic which was selected using a consecutive sampling technique. Primary data were obtained from a one-time blood sampling calculation and secondary data were obtained from medical records from patients with a diagnosis of liver cirrhosis from the physician in charge. Hypothesis analysis using Pearson correlation test.

Resuls: Pearson test results showed a significant difference p = 0.024 (p <0.05) with the strength of the relationship r = 0.404 and the direction of a positive relationship on the correlation of APRI scores and Child-Pugh scores.

Conclusions: There is a significant correlation between APRI scores with the degree of severity liver organ in cirrhosis hepatic patients in RSUD Prof. dr. Margono Soekarjo. The average APRI score in patients cirrhosis hepatic is 3, 107. The Child-Pugh score for the degree of severity liver organ is 8 or in the category of Child-Pugh B or moderate category.
Komunitas Mafia Sholawat: Pembinaan Kaum Marginal di Desa Kedungmutih Demak
Authors: Sukarman Sukarman , Hatta David Mohammad
Published: January 2023

The phenomenon of street children joining the Punk, Alay, and Cosplay community is one of the social problems in Kedungmutih village, Demak. This research aimed to explain the problem of the Mafia Sholawat community, its background, and its efforts in social extension. The research is qualitative research and field research. The data were analyzed using the descriptive method. The results showed that the community has been established because of some reasons namely, equality of people's fate including children from divorcing parents, lack of parental attention, and the low levels of education. The problem faced by the community is slow to the progress of efforts which need a long time to develop and gradually strategy.
Pengaruh Group Investigation Models Terhadap Peningkatan Kompetensi Mahasiswa
Authors: Rusdiyanto Rajip Mustafillah , Yudha Brio Alfatihah Rama , Budiman Indra Adi
Published: January 2023

Kebijakan pemerintah tentang program Merdeka Belajar perlu mendapat dukungan optimal dari setiap pihak yang terkait. Dosen sebagai salah satu pihak yang secara langsung berinteraksi dalam proses pembelajaran. Program tersebut menuntut mahasiswa untuk mandiri dalam memperoleh segala informasi dan pengetahuan yang mereka butuhkan. Dalam mendukung program tersebut, penelitian ini bermaksud untuk melihat bagaimana pengaruh Group Investigation Models terhadap peningkatan kompetensi mahasiswa. Berdasarkan sistematika proses pembelajaranya, model tersebut dapat sejalan dalam mendukung program pemerintah. Melalui one group pretest-posttest design dan sampel yang berjumlah 64 orang, hasil penelitian ini menunjukkan bahwa terdapat pengaruh yang signifikan terhadap kompetensi mahasiswa.