bluuebunny/crossref_metadata_2025 huggingface dataset:
DATA MINING TECHNIQUE USING NAÏVE BAYES ALGORITHM TO PREDICT SHOPEE CONSUMER SATISFACTION AMONG MILLENNIAL GENERATION
Authors: Hant Margaretha Intan Pratiwi , Hendry Hendry
Published: January 2023

Shopee is one of the largest e-commerce platforms currently being used by Millennials. The use of Shopee itself makes it very easy for consumers to process transactions. Shopee itself is committed to maintaining and improving customer satisfaction so they don't switch to other competitors. However, it is undeniable that there are still many cases that can harm consumers when using the platform. With the cases that occur, it is very possible that there will be a big influence on the level of consumer satisfaction on the platform. Consumers will feel satisfied when the product or service used can meet consumer expectations. This study was made with the aim of predicting the level of consumer satisfaction of Shopee Indonesia among the Millennial Generation. This study applies data mining using the Naive Bayes Algorithm. The Naive Bayes algorithm itself is a simple probability classification that can calculate all possibilities by combining a number of combinations and the frequency of a value from the database obtained. The attributes used in conducting this research include Name, Gender, Age, Price, Performance and Efficiency, Fulfillment, Reliability, Control and Security, Responsiveness, Compensation, Contact, and Description of Satisfaction Value. In this study, the results obtained from several input attributes that create a causal relationship when classifying satisfied and dissatisfied consumers. The results obtained can provide benefits for the Shopee company in increasing customer satisfaction. After carrying out the testing process, it can be concluded that the Naive Bayes Algorithm is an algorithm that is suitable for use in the classification process for measuring Shopee Indonesia's consumer satisfaction level among the Millennial Generation, with an accuracy rate of 89.65%.
E-CRM FOR SALES OF FASHION PRODUCTS AT JANNAH SIMPANG FOUR BOUTIQUE
Authors: Pertiwi Diana , Siagian Yessica , Syahputra Abdul Karim
Published: January 2023

Sales is the purchase of an item from one party to another by getting money from that party, whether in the form of electronics, clothing, food and others. One of the businesses engaged in the business of selling clothing which includes clothes, pants, bags, shoes and others that are sold to customers is Jannah Boutique. the need for a media in the form of a system that integrates marketing, ordering and customer service into an online-based application that can manage the relationship between the company and its customers. The method used in this research is the concept of Electronic Customer Relationship Management (E-CRM) because it can be a company solution in company service management and can utilize customer databases and their complaints to be input and improvement of the company and can make it easier for customers to place orders (orders) and serve as as a promotional media for company products that can save the company's costs in promoting products to customers. This study resulted in E-CRM on fashion product sales at Jannah boutiques able to integrate existing functions within the company, namely marketing, product sales, information and can improve customer service. The conclusion obtained by E-CRM can improve store performance in service, sales and getting new customers.
AUGMENTED REALITY FOR UNIVERSITAS ISLAM NEGERI WALISONGO'S PROFILE USING AGILE METHODOLOGY
Authors: Nur’aini Siti , Al-Faruq Muhammad Naufal Muhadzib
Published: January 2023

The use of Information Technology for the process of delivering information has grown so rapidly. One of them is Augmented Reality. Augmented Reality is widely implemented for various things, including in the world of education, health, military, entertainment and many others. Augmented Reality is a technology that combines virtual objects and the real world in real-time and interactively. This research developed an Augmented Reality Application that can be used to introduce Universitas Islam Negeri (UIN) Walisongo more broadly, attractively, interactively, and competitively. This application is named AR UINWS. Agile methodology was chosen to develop AR UINWS. The results show that the agile methodology is suitable to be implemented because of its flexibility, so that the needs of developing applications can be easily adapted. AR UINWS works well on all types of android devices that have a minimum camera resolution of 720x1280 pixels. AR UINWS can detect markers if the marker surface is visible at least 65% of the total marker surface area. This application can detect markers of various sizes as long as the background is light. The size of the marker that can be detected is 1.5x2 cm with the minimum distance between the marker and the android device is 1 5cm. While the largest marker size being tested is 15x23cm with the minimum distance between the marker and the android device is 150 cm.
APPLICATION OF LEXICON BASED FOR SENTIMENT ANALYSIS OF COVID-19 BOOSTER VACCINATIONS ON TWITTER SOCIAL MEDIA USING NAÏVE BAYES METHOD
Authors: Fahmi Muhamad , Hidayat Syarif , Hidayatullah Ahmad Fathan
Published: January 2023

To combat the Covid-19 epidemic, the government issues laws governing vaccination implementation. Health Minister Number Ten of 2021 issued the regulation. This program raises advantages and disadvantages, necessitating examination through feedback. The opinions and narratives that individuals share on social media sites like Twitter can be used to get feedback. This work seeks to construct a model to assess public opinion of the Covid-19 Booster Vaccination by using the Lexicon Based technique to identify sentiment on tweet data. Naïve Bayes and logistic regression are the classification techniques employed in this study. The comparison of the two methods' findings reveals that Logistic Regression, with an accuracy of 72%, is superior to Naïve Bayes, which has an accuracy of 70%. There were 607 tweet messages from Twitter that were processed. From January 1 to July 30, 2022, the model was tested for its ability to interpret public opinion on Twitter. The model found that people's attitudes toward the COVID-19 booster shot tended to be favorable. It can be developed by including datasets for additional research. For further research, it can be developed by adding datasets.
IMPLEMENTATION OF SPRINT LIFE CYCLE FROM AGILE METHODOLOGY WITH KNOWLEDGE MANAGEMENT CYCLE
Authors: Priyono Haryadi Akbar , Juliane Christina
Published: January 2023

Companies in almost every industry are adopting Agile techniques to improve IT projects, manage marketing initiatives, and manage their businesses. With the sprint life cycle implemented in the company, knowledge management can always be updated. The research was conducted by collecting literature studies, conducting literature review analysis and proposing a theory of the results of the study analysis. Through this research, it is known that by implementing the sprint life cycle of Google Ventures in the Knowledge Management process that adopts the analysis of the framework initiated by Evans (2014), Wee and Chua (2013) , Akhavan (2009), Lettieri (2004), Chyi Lee (2000) can produce a basic theory regarding the application of the sprint life cycle in knowledge management, namely: (1) Identify, Create, and Understand, (2) Sketch and Innovation, (3) Decide and Organize, (4) Prototype and Codification , (5) Test, Use, Share, and Learn. With the ideas from the results of this study, it is possible to expand the previous KMC model by integrating the sprint framework pattern by linking several initiatives within the existing KMC. Produce KMC Sprints that have advantages based on the nature of the Agile methodology, namely speeding up change/knowledge creation time and adaptability.
PREDICTION OF THE ENGLISH PREMIER LEAGUE CHAMPION TEAM FOR THE 2021/2022 SEASON USING THE NAÏVE BAYES METHOD
Authors: Yudistira Alesandro Sulthan , Nugroho Adi
Published: January 2023

The English Premier League is the top division league in England, the most popular football league for football fans. The competition date for the 2021/2022 season was announced on March 25, 2021 and the schedule was released on June 16, 2021. Manchester City won last season (2020/2021). The purpose of this study is to find out the results of Naive Bayes' accuracy in determining which team deserves to win in the English Premier League 2021/2022 season and which team does not deserve to win in the final standings. The method used for prediction is Naïve Bayes, which is to predict an opportunity in the future based on events in the past which is then called the Bayes theorem. Combined with Naïve's theorem, it can be said that a condition between attributes can be independent. Naïve Bayes is an arrangement of a system that calculates a collection of opportunities that are summed at a frequency and a combination of values ​​from the existing data set. Based on the research conducted, it was generated from predictions to determine the winning team quickly and accurately and from the test results it was necessary to process training data and test data with the Naïve Bayes method, it was obtained an accuracy of 32.7% for the chances of Manchester City winning and Liverpool with 42.06% accuracy to be able to win the English Premier League season 2021/2022.
DECISION SUPPORT SYSTEM FEASIBILITY ACCEPTING HOME SURGICAL ASSISTANCE WITH WEIGHT PRODUCT METHOD IN NGABLAK VILLAGE
Authors: Saputra Arya Eka , Nugroho Adi
Published: January 2023

In rural areas, it is very often found that fragile and uninhabitable houses are due to poverty and do not receive housing assistance from the local government. As in Ngablak village, Magelang, there are many people's residences that need to be repaired. The Ngablak village government has created a Home Renovation Assistance program which is one way to protect and prosper residents. To solve the problem in determining the feasibility of receiving home surgery assistance, a Decision Support System was designed using the Weight Product method. The Weight Product method applies a multiplication technique to link the attribute rating and performs the rank first with the weight of the attribute in question. The weighted value for each criterion is used to generate a ranking value in order to make a decision on the candidate for home surgery assistance. Based on calculations using the Weight Product method, the results are in the form of citizen data that has been calculated with the output from the highest to the lowest value. The conclusion of this study is that the existence of a decision support system is very helpful for the Ngablak village government in selecting residents who really deserve assistance in a fast and appropriate way.
WEBSITE NETWORK AUTOMATION DESIGN AND IMPLEMENTATION IN RT RW NET SENDEN DUSUN MAGELANG WITH DJANGO FRAMEWORK
Authors: Eka Paksi Yoel Chandra , R. Widiasari Indrastanti
Published: January 2023

RT RW NET is part of the Internet facilities owned by the hamlet of Senden Magelang, whose purpose is to provide cheap Internet facilities.However, behind the existing facilities several problems emerged, based on a statement from the hamlet of sending that the problem that arose was the configuration process for adding new users, which took a long time due to manual configuration in each RT (Rukun Tetangga) and RW (Rukun Warga) alley.  Therefore, in this study, a website-based network automation application was created using the Django framework and developed using the Waterfall method, thus providing easy access and fast configuration when configuring new users. After designing the network automation website, the website will be operated by the network administrator, who hopes to simplify and shorten the time for new user configurations.
DEVELOPMENT OF PRICE DISTRIBUTION MODULE ON MERCHANDISE APPLICATION USING FLASK FRAMEWORK AT PT XYZ
Authors: Saputra Josua Ade , Susetyo Yerymia Alfa
Published: January 2023

PT XYZ adalah perusahaan di Indonesia yang bergerak dalam bidang retail yang memiliki lebih dari 14.300 toko serta 32 cabang atau warehouse. Masalah muncul ketika cabang telah menentukan harga dari suatu barang dan harga barang harus disebarkan ke setiap toko. Harga dari suatu barang akan selalu berubah karena adanya promo dan diskon yang memiliki masa periode nya sendiri, sehingga diperlukan penyebaran harga ke toko secara real-time. Selain itu, dengan jutaan transaksi tiap harinya mengakibatkan pertumbuhan data yang sangat cepat dan memerlukan penyimpanan yang besar. Modul aplikasi digunakan untuk mendistribusikan harga yang telah ditetapkan ke setiap toko dengan cepat dan tepat. Pengembangan sistem ini menggunakan Framework Flask dengan bahasa pemrograman Python. Flask memudahkan dalam pengembangan sistem karena penggunaannya yang sederhana. Pengembang bisa menentukan sendiri library yang akan akan digunakan, sehingga sistem yang dibuat menjadi lebih ringan. Flask memiliki package flask-sqlalchemy bind yang dapat dengan mudah melakukan distribusi data ke database yang sesuai. Hasil dari penelitian ini adalah sebuah modul aplikasi distribusi harga yang kemudian diimplementasikan menggunakan bahasa pemrograman Python dan Framework Flask.
APPLICATION OF K-MEANS METHOD IN THE SPREAD OF POSITIVE CASES OF COVID-19 IN SALATIGA CITY
Authors: Enggiel Gladis Tri , Purnomo Hindriyanto Dwi
Published: January 2023

Covid-19 is an infectious disease caused by SARS-CoV-2. It was  discovered in Wuhan, China. It has been spread in every countries, especially in Indonesia. It has spreading all districts/cities in every province, one of it is City of Salatiga. This research used to determine the grouping of the spread of Covid-19 positive cases in each "kelurahan" in order to find out which villages has contributed the most positive cases. The research uses the calculation process  for the distribution of clusters, it is divided into 3 which are categorized as overage (from the range 200-150), moderate (from the range 100-55), and few (from the range 50-5). This grouping process is assisted by the RapidMiner Studio tools. From this calculation, cluster 1 (C1 = a lot) is the highest cluster consisting of 5 villages, cluster 2 (C2 moderate) is a medium cluster consisting of 6 villages, and cluster 0 (C3 is few) is a small cluster. consists of 12 villages. From this grouping, it can be seen that cluster 1 is the highest cluster because the highest range is in cluster 1. The results of this grouping can be applied and can provide information about the spread of positive cases of Covid-19 in Salatiga City.
SOCIAL DISTANCING DETECTION FINDING OPTIMAL ANGLE WITH YOLO V3 DEEP LEARNING METHOD
Authors: Anggraini Mutiara Dwi , Kusrini Kusrini , Al Fatta Hanif
Published: January 2023

The COVID-19 pandemic has had a profound impact on all aspects of society. One of the implementations that the government has so far carried out is using masks and maintaining social distance. Over time, social distancing is difficult to control because people are now getting booster vaccines, but some have not. One way to overcome this problem is with a social distance detector system that detects the number of people and the distance of human objects from one another in an area. This study aims to apply in the office area, or the public. This research is one of the developments of a social distancing detector application that produces an optimal angle in using the application. So the program can detect the entirety of the object with optimal accuracy. Angle is very influential in taking the image to be processed in the system. This study uses the python language with the YOLOv3 library. This study got the best results,and  the mean average precision in 90%:10% didapatkan dengan learning rate 0,001 dengan nilai mAP 54,11%, deteksi pada saaat penggujian sebesar 100%. Percobaan sudut terdapat 00.150.300, 450.600 dengan total 50 data video testing. Sudut optimal yang didapatkan pada penelitian ini adalah 00.150.300. Hal ini membuktikan bahwa sudut pengambilan video atau peletakan kamera sistem social distancing.
WEBSITE BASED EMPLOYEE ACCEPTANCE INFORMATION SYSTEM AT PT NOTO TEKNOLOGI INDONESIA
Authors: Afuan Lasmedi , Hidayat Nurul , Wijayanto Bangun , Cahya Febriani Indah
Published: January 2023

The development of information technology is currently growing very rapidly, many companies want to improve their work processes by using information systems to process company data more quickly and efficiently. The process of accepting prospective employees at PT Noto Teknologi Indonesia is still done manually, i.e. prospective employees must register and deliver job application files to the office. To find out the results of the selection of employee recruitment, prospective employees still get information via WhatsApp. This makes the acceptance of new employee candidates less effective and efficient because it will take a lot of time and the possibility of data errors. So in this study a website based recruitment information system was created to facilitate the process of accepting new employees. The method used in making this system is the waterfall method where this method has 5 stages, namely user needs analysis, system design, implementation, testing and maintenance by PT Noto Teknologi Indonesia. The results of the black-box test show valid results for all features which indicate that this system is as expected. From the results of black-box testing, it can be concluded that this system is feasible to use as a tool to facilitate the process of accepting new employees at PT Noto Teknologi Indonesia.
APPLICATION OF DATA MINING FOR PREDICTION OF LONG COVID ON COVID-19 SURVIVAL WITH FEATURE SELECTION AND NAÏVE BAYES METHOD
Authors: Rokhmah Siti , Rozaq Rais Nendy Akbar
Published: January 2023

Since it was declared a global pandemic in March 2020, Corona Virus Disease (Covid-19) has become the world's attention, a lot of research has focused on all things related to Covid-19. Covid-19 is an infectious disease caused by the acute respiratory syndrome Corona virus 2 (SARS-CoV-2). Several studies have shown that the symptoms of COVID-19 persist for a long period of time even though they have been declared cured of Covid-19, this is known as Long Covid. Complaints that are often experienced by patients who progress to Long Covid are fatigue, headaches, coughs, runny noses, sleep disturbances and even shortness of breath. Several risk factors for the occurrence of Long Covid include age, gender, patient congenital disease, condition during acute infection, ethnicity and the patient's Body Mass Index (BMI). To anticipate the occurrence of long covid, it is necessary to have a risk prediction system for the occurrence of long covid in covid-19 patients, this aims to anticipate and prepare for early handling and prevention efforts for covid-19 patients who are at risk of experiencing long covid. Prediction of the risk of long covid can be done by classifying long covid risk factors by utilizing data mining. The purpose of this study is to classify symptom data and patient history, so that data patterns can be obtained that can be used as predictions to estimate the risk of the occurrence of Long covid-19 in Covid-19 survivors. This study uses the Naïve Bayes classification method by classifying data based on the Long covid risk factor and the feature selection information gain method which is used as a technique in attribute selection to optimize the nave Bayes algorithm. The results of this study have a real contribution to the development of science and technology. The concept of the resulting prediction data pattern can be used as a reference in developing early detection of the risk of the occurrence of Long Covid.
IOT-BASED REMOTE LIGHT CONTROL SYSTEM USING BOT TELEGRAM APPLICATION (CASE STUDY OF SMP AL WASHLIYAH CIREBON)
Authors: Al Furuqi Syaiful Haq , Abu Hafsin Muhamad , Haryono Haryono
Published: January 2023

Advances in technology nowadays could make it easier for human beings in order to save time doing work that is commonly done. Smartphones are currently developing rapidly, and at the moment social media applications can be used to emerge as remote controllers which could manage electronic devices remotely. This study objectives to construct an IoT-based remote light control system using the telegram application. The consequences of this have a look at are predicted to save the user's time to turn on or turn off the lights remotely. Users only need to open the telegram application, then select the bot constructed to control the lights, and be asked to press the available commands. The consequences of this study take a look at the telegram bot application can turn the lights on and off properly, this has a delay less than 60 seconds according to the connection used, for every command that is pressed from the telegram bot utility.
ANALYSIS OF LEARNING WEB APPLICATION TESTING WITH WEIGHTING PRODUCT AND ORDERED WEIGHTING AVERAGING ON GROUP DECISION MAKER
Authors: H. Ilyas St. Hatijah , St. Hajrah Mansyur  , Harlinda
Published: January 2023

In 2019-2021, almost every country in the world is being hit by an outbreak of Corona Virus Disease (Covid-19) which has a major impact on various fields, one of which is in the field of education. Utilizing learning web applications is one way to carry out teaching and learning activities so that students continue to learn. Web application testing is the process of running software to find errors in the content, interface, navigation, components, configuration, performance and security of web applications. The purpose of this study is to analyze the testing of the learning web application of the Rumah Belajar Kemdikbud, Kelas Pintar, and Sekolahmu based on seven criteria aspects. The method used is the Weighting Product (WP) method to determine the results of web application testing based on seven aspects and to integrate web application testing assessments from the Group Decision Maker using the Ordered Weighting Averaging (OWA) method. The results showed the level of accuracy after testing the Web-Test application and manual calculations in Microsoft Excel using the WP method was 90% while the OWA method was 80%.
A LOCAL COMMUNITY INTERNET REGISTRATION WITH NETWORK FAILURE REPORT MONITORING SYSTEM
Authors: Gunawan Dedi , Priyawati Diah , Putri Devi Afriyantari Puspa , Utomo Ihsan Cahyo , Al Irsyadi Fatah Yasin , Rusnilawati Rusnilawati , Yulianto Alfian
Published: January 2023

Observing the great potential of the internet in rural environment, village government in Kragan, Gondangrejo District, Karanganyar Regency, has established internet network that residents could use with relatively lower price compared to that of other internet providers. Even though the internet connection has adequate speed, it still has obstacles specifically in managing the internet subscribers. Every villager who will subscribe to the internet must go to the village office and fill out a registration form and then the form is archived. Although the method is effective, it is vulnerable to customer data and information loss and is not flexible for residents who carry out their daily activities in a place that is relatively far from the village office. In addition, when there is an internet interruption, customers must send short messages to administrator, and then it will be inspected by a technician. Every reported problem is not stored properly, as a result, administrators cannot monitor whether customer complaints have been resolved. To overcome these two problems, a web-based application that is flexible and can be used by users with various computer platforms is proposed. The application development follows the waterfall model. The results of testing using black-box technique show that the functionality of the application is running with a failure percentage of 0%. Meanwhile, the test to determine usability level of the application using the System Usability Scale (SUS) method showed an acceptance rate of 66,2%, meaning that the application is suitable for use even though training for the users is needed.
DESIGN OF EXPERT SYSTEM BASED ON CERTAINTY FACTOR ALGORITHM IN DIAGNOSIS OF CHOLESTEROL LEVEL IN ADOLESCENTS
Authors: Dewi Kumala , Kurniawan Edi , Sudarmin Sudarmin
Published: January 2023

An expert system is a system that seeks to adopt humans to computers. As for experts, this system can be used as an experienced assistant. People are susceptible to cholesterol starting from the age of 20 years. The public submits the cholesterol by consulting a doctor directly. If cholesterol levels are high, people will experience pain such as headaches, chest pain, and numbness in the arms, but this pain is not necessarily a symptom of rising cholesterol levels, it could be a symptom of other diseases such as fever, colds, fatigue. , and others. Cholesterol is a fat found in the bloodstream or body cells that is actually needed for the formation of cell walls and as a raw material for several hormones. Therefore, it is divided into Low Density Lipoprotein (LDL), High Density Lipoprotein (HDL) and Triglycerides. The method used is the Certainty Factor method, which is built using the PHP programming language, and the MYSQL DBMS. Certainty Factor is a measure of certainty to a fact or certainty. The certainty factor determines the size of a thing or certainty. The application of Certainty Factor is expected to make the expert system more accurate. The result of this research is an application that can later be used to assist the public in diagnosing cholesterol levels so that people do not need to go directly to the doctor
SMARTPHONE RECOMMENDATION SYSTEM USING MODEL-BASED COLLABORATIVE FILTERING METHOD
Authors: Prayoga Fajar Aji , Kusnawi Kusnawi
Published: January 2023

Smartphone are now an importan item that is needed by many people. The rapid development of technology make smartphone companies are competing to release their best smartphones.The many smartphones in online shop cause user to become disoriented about their choice. A recommendation system can help the user in choosing the smartphone that the user likes. In this study, a recommendation system was made using the collaborative filtering method with the K-Nearest Neighbors algorithm and combined with the application of K-Means algorithm to divide the smartphone into several group. The output of collaborative filtering method is that the model can give smartphone rating predictions to user. The prediction results will be used as the basis for giving recommendations to user. The purpose of smartphones groupping is so that the recommendation results are more specific and accurate. The evaluation of the model gets an MAE value is 1.1047 and RMSE value is 1.7579. So it can be concluded that the development of a smartphone recommendation system was successfully implemented.
IMPLEMENTATION OF FORECASTING EXPONENTIAL SMOOTHING IN THE NUMBER OF NEW STUDENT PREDICTION INFORMATION SYSTEM AT SMK AL MA'SHUM
Authors: Sulistia Suci , Amin Muhammad , Santoso
Published: January 2023

SMK Al Ma'shum annually conducts socialization and promotions in junior high schools. Prediction of the number of prospective new students is one of the most important things in the evaluation process or high cognitive at SMK Al Ma'shum. This serves to determine the priority of how many prospective students will be accepted, where the number of students sometimes tends to decrease and increase. This makes the school must try to estimate the number of new students from each of these majors next year will increase or decrease. If this is not done by the school, it will have an impact on the operational costs of the school. The goal is to predict the number of prospective new students who will be accepted at the Al Ma'shum Vocational School next year using the forecasting exponential smoothing method. The prediction system for new students at the Al Ma'shum Vocational School uses the PHP and MySQL programming languages ​​to help the forecasting process be fast and accurate. The prediction results for 2022 are accounting majors as many as 19.23 new students with MAPE 20.52%, computer and network engineering majors as many as 102.73 new students with MAPE 9.12% and motorcycle engineering majors as many as 76 new students with MAPE 25.53 %. So it can be concluded that the forecasting exponential smoothing method can help predict new students at SMK Al Ma'shum.
THE INFLUENCE OF DIGITAL MARKETING AND LIFESTYLE ON THE DECISIONS OF E-COMMERCE (SHOPEE) USERS IN INDUSTRY 4.0
Authors: Kurniawan Rido Dwi Kurniawan , Richardus Eko Indrajit
Published: January 2023

The industrial revolution is a fundamental change in the way of life and human work processes, where advances in information technology can integrate the life of the digital world. The right digital marketing and still paying attention to the lifestyle of every community is a success in achieving the desired marketing target, including in the world of the trade industry where various innovations continue to emerge. This study aims to determine the effect of Digital Marketing and Lifestyle on the Decisions of E-Commerce Users (Shopee) in Industry 4.0. This research was conducted with a quantitative research design where the data source is secondary data in the form of E-Commerce user data. Data were collected through questionnaires and analyzed by multiple linear regression with classical assumptions, namely Normality Test, Multicollinearity Test, Heteroscedasticity Test. The capital feasibility test is the coefficient of determination, F test and t test. Based on the results of the classical assumption test, it shows that Digital Marketing and Lifestyle have a positive and significant effect on the dependent variable on the decisions of E-Commerce users at Shopee. By using a multiple regression analysis system, the results show that Digital Marketing and Lifestyle have a partial effect on the decisions of E-Commerce users with the Digital Marketing variable value tcount 1,988 > ttable 1.660 and tcount Lifestyle tcount 2.479 > ttable 1.660. The results showed that the Digital Marketing and Lifestyle variables simultaneously had a positive effect on the decisions of E-Commerce users by 1.3% and 98.7% with a 95% confidence level explained by other variables outside the study.
IMPROVED SUPPORT VECTOR MACHINE PERFORMANCE USING PARTICLE SWARM OPTIMIZATION IN CREDIT RISK CLASSIFICATION
Authors: Manik Aditiarno , Nababan Erna Budhiarti , Tulus Tulus
Published: January 2023

In Classification using Support Vector Machine (SVM), each kernel has parameters that affect the classification accuracy results. This study examines the improvement of SVM performance by selecting parameters using Particle Swarm Optimization (PSO) on credit risk classification, the results of which are compared with SVM with random parameter selection. The classification performance is evaluated by applying the SVM classification to the Credit German benchmark credit data set and the private credit data set which is a credit data set issued from a local bank in North Sumatra. Although it requires a longer execution time to achieve optimal accuracy values, the SVM+PSO combination is quite effective and more systematic than trial and error techniques in finding SVM parameter values, so as to produce better accuracy. In general, the test results show that the RBF kernel is able to produce higher accuracy and f1-scores than linear and polynomial kernels. SVM classification with optimization using PSO can produce better accuracy than classification using SVM without optimization, namely the determination of parameters randomly. Credit data classification accuracy increased to 92.31%.
Analisis Kepadatan Mesoplastik Di Pantai Le Grandeur Kota Balikpapan Kalimantan Timur
Authors: Nur Dewi Islamiaty , Ghitarina Ghitarina , Mustakim Moh.
Published: January 2023

Pencemaran masih menjadi masalah besar di wilayah pesisir dan laut. Sampah plastik merupakan salah satu jenis sampah yang banyak dijumpai. Sampah plastik ini merupakan hasil kegiatan masyarakat yang membuang sampah di pantai. Penelitian ini bertujuan untuk mengetahui jenis mesoplastik dan menganalisis perbedaan kelimpahan di Pantai Le Grandeur, Kota Balikpapan, Kalimantan Timur. Garis transek 100 m dibagi menjadi 5 garis dan jarak 20 m, setelah itu sub transek (5x5 m) ditempatkan 25 kotak kecil (1x1 m) yang bulit, dan 5 kotak dipilih secara acak, dan permukaan pasir yang termasuk sub transek digali hingga kedalaman 3 cm. Jenis plastik yang paling dominan diidentifikasi di lokasi adalah Film dengan total 35 partikel, diikuti oleh Styrofoam dengan 32 partikel. Plastik dari jenis Fragmen diidentifikasi dengan paling sedikit 8 partikel. Tidak terdapat perbedaan kelimpahan plastik yang signifikan antar jenis mesoplastik (Fiber, Fragmen, Film, Styrofoam).
Pemanfaatan Mikroorganisme untuk Biodegradasi Mikroplastik
Authors: Rusman Ade , Hidayati Nuning Vita
Published: January 2023

Plastik telah menjadi bagian dari kehidupan manusia. Industri makanan olahan telah didominasi oleh plastik kemasan karena sifatnya yang fleksibel dengan mengambil porsi 80 persen. Penggunaan plastik dalam pengemasan, pengiriman, perindustrian dan pertanian baik di pedesaan maupun perkotaan yang diluar kendali telah menimbulkan masalah yang serius yaitu sampah plastik dan pencemaran lingkungan. Mikroplastik merupakan hasil proses dekomposisi  sampah  plastik  yang berlangsung  sangat  lama melalui berbagai proses kimiawi, fisik, maupun biologi. Mikroplastik dan nanoplastik yang mencemari ekosistem perairan laut dan pantai dapat masuk ke rantai makanan dan membahayakan kesehatan manusia wajib menjadi keprihatinan masyarakat dunia. Pengendalian pencemaran mikroplastik dengan memanfaatkan kemampuan dan potensi mikroba dan bakteri indigenous dan jamur atau fungi yang tumbuh dalam lingkungan yang tercemar mikroplastik yang sering disebut remidiasi menjadi salah satu strategi yang efisien dan menjanjikan di masa depan. Menempelnya mikroorganisme pada polimer merupakan tahap awal proses biodegradasi plastik yang selanjutnya diikuti oleh pembentukan koloni pada permukaan polimer.  Pembelahan hidrolitik merupakan proses lanjutan yang terjadi pada saat enzim mikroba menempel pada substrat polimer. CO2 dan H2O merupakan produk degradasi polimer seperti oligomer, dimer dan  monomer melalui proses mineralisasi. CO2 dan H2O merupakan produk akhir dari proses biodegradasi oleh bakteri secara aerobik, yaitu dengan memanfaatkan oksigen sebagai akseptor elektron yang diikuti dengan sintesis senyawa organik yang lebih kecil. Laju biodegradasi dipengaruhi oleh faktor faktor biotik yaitu kelembaban, suhu dan pH dan faktor abiotik yaitu enzim dan hidrofobitas.
Budidaya Ikan Lele (Clarias sp.) dalam Ember Akuaponik Bioflok dengan Probiotik Rawa di Kelompok Agribisnis Desa Sakatiga
Authors: Rismoni Indah , Wijayanti Marini , Fitrani Mirna , Jubaedah Dade , Tanbiyaskur Tanbiyaskur , Marsi Marsi , Rarassari Madyasta Anggana
Published: January 2023

Terjadinya pandemi covid-19 telah banyak menghambat kegiatan masyarakat yang rutin dilakukan. Namun begitu, kebutuhan masyarakat juga harus tetap terpenuhi di tengah kondisi seperti saat ini, ketersediaan lahan budidaya menjadi salah satu permasalahan nya. Budidaya ikan dalam ember (Budikdamber) dapat menjadi alternatif untuk mengatasi masalah tersebut karena tidak memerlukan lahan yg luas. Tujuan dari pemeliharaan ini adalah untuk mengaplikasikan dan memberikan informasi  kepada pembudidaya mengenai penerapan budidaya ikan lele (Clarias sp.) dalam ember akuaponik bioflok dengan probiotik rawa. Metode penelitian terdiri dari dua perlakuan yaitu perlakuan dengan pemberian probiotik rawa sebulan sekali (K1 dan K2) dan pemberian probiotik rawa seminggu sekali (P1 dan P2). Adapun hasil yang didapatkan dari pemeliharaan pada perlakuan (P1) memberikan pertumbuhan ikan mutlak rata-rata 12,325 g dan 2,97 cm, laju pertumbuhan spesifik 0,24%, kelangsungan hidup 80%. Pada perlakuan (P2) menghasilkan pertumbuhan ikan rata-rata 11,345 g dan 2,614 cm, laju pertumbuhan spesifik 0,24%, kelangsungan hidup 83,33%. Sedangkan pada wadah pemeliharaan kontrol (K1) menghasilkan pertumbuhan ikan rata-rata 11,829 g dan 2,394 cm, laju pertumbuhan spesifik 0,15%. hari-1, kelangsungan hidup 76,67%. Dan pada wadah pemeliharaan kontrol (K2) menghasilkan pertumbuhan ikan  rata-rata 11,048 g dan 2,449 cm, laju pertumbuhan spesifik 0,44%. hari-1, kelangsungan hidup 86,67%.
Growth Characteristic and Conditioning Factors of Mackerel Fish (Scomberomorus commersonii) Landed at PPI Cikidang Pangandaran West Java
Authors: Adinalda Muhammad Gianaya , Sanjayasari Dyahruri
Published: January 2023

Mackerel fish (Scomberomorus commersonii) is one of potential catch in Indonesia. The production of mackerel fish in Indonesia has become the highest in the world exceeding the Philippines, Cingalese, Yemen, and Pakistan. Currently, mackerel fish is used maximumly by considering its sustainability. Present study aimed to understand the growth characteristic and condition factors for mackerel fish which landed at PPI Cikidang, Pangandaran, West Java. The data was collected at PPI Cikidang, Pangandaran, West Java in February 2021. Survey and observation method were used to obtain the growth characteristic of mackerel fish, and it analyzed descriptively. The results of the study revealed that the growth of mackerel fish landed at PPI Cikidang Pangandaran was allometric negative with the b value at 1.71. The growth characteristic based on length-weight relation showed strong relationship with coefficient determination at 93.1%. The condition factor resulted 0.64 with average of relative weight 100.75. The regression relationship between relative weight and condition factors had weak relationship.
Kandungan Nutrisi Daging Ikan Glodok (Boleophthalmus boddarti) dari Kawasan Hutan Mangrove Desa Karangtalun, Cilacap
Authors: Wisudyanti Dewi , Imani Aulia Berlian , Riviani Riviani
Published: January 2023

Ikan glodok merupakan ikan yang memiliki kemampuan adaptasi terhadap dua habitat berbeda yaitu daratan dan perairan. Ikan glodok dapat ditemukan di ekosistem mangrove, salah satunya kawasan hutan mangrove Desa Karangtalun, Cilacap. Daging ikan glodok menjadi salah satu sumber pangan yang dipercaya baik untuk kesehatan, namun hanya sebagian kecil masyarakat pesisir Cilacap yang memanfaatkan ikan ini menjadi bahan makanan. Kerja praktek ini bertujuan untuk mengetahui bagaimana cara menganalisis dan mengetahui besar kandungan gizi (proksimat) dari daging ikan glodok (Boleophthalmus boddarti) yang berasal dari kawasan hutan mangrove Desa Karangtalun, Cilacap. Kerja praktek dilaksanakan pada bulan November 2020 hingga Januari 2021. Metode pengujian yang dilakukan dalam analisis proksimat adalah metode oven untuk kadar air, metode kjeldahl untuk kadar protein, metode ekstraksi soxhlet untuk kadar lemak dan metode pengabuan kering (dry ashing) untuk kadar abu. Hasil rata-rata kandungan proksimat pada daging ikan glodok diantaranya kadar air (bb) 50,87%, kadar protein (bb) 17,85%, kadar lemak (bk) 0,53% dan kadar abu (bk) 2,06%.

Kata kunci : Analisis Proksimat; Ikan Glodok; Hutan Mangrove; Karangtalun
The analysis of main factors to support the regional economic recovery using mangrove rehabilitation activity in Jakarta
Authors: Azmiyah A'am , Hilmi Endang , Sudarmalik Sudarmalik
Published: January 2023

The activity of mangrove rehabilitation in Angke Kapuk, North Jakarta is the ecosystem recovery activities to support the sustainability of mangrove resources to provide economic opportunities for coastal community. This study aimed to determine the main factors and the important variables of economic recovery through mangrove rehabilitation activities and the relationship between variables using the MICMAC (matrix of cross impact multiplications applied to a classification) analysis. The results of the study showed that key variables or driving variables (Influence Variables) were policy factors which high influence for the economic recovery. The Relay Variables consistedf mangrove rehabilitation activity which divided into potential of seeding, planting, counseling, and training. The Dependence Variables consisted  economic factors such as the income of ecotourism activity, fisherman, angler, traders, the group of mangrove business, forest farmer group, the price and selling potency of mangrove seedling, price and income of mangrove products. And Autonomous Variables consisted business investors and the price of fish selling.
Struktur Komunitas Zooplankton di Sungai Ponggawa, Kabupaten Purbalingga
Authors: Paramis Novita , Hendrayana Hendrayana , Samudra Sesilia Rani
Published: January 2023

Sungai Ponggawa merupakan aliran sungai yang banyak dimanfaatkan oleh masyarakat sekitar untuk aktivitas sehari-hari, salah satunya digunakan untuk kegiatan mandi, cuci, kakus (MCK) dan irigasi lahan pertanian. Sungai Ponggawa terindikasi mengalami pencemaran organik yang berasal dari aktivitas tersebut. Struktur komunitas zooplankton dapat dijadikan indikator ekologi terhadap perubahan kualitas air. Tujuan penelitian ini adalah untuk mengetahui struktur komunitas zooplankton di Sungai Ponggawa dan mengetahui parameter fisika kimia perairan Sungai Ponggawa. Metode yang digunakan adalah Purposive Sampling, dengan 3 titik sampling dan 5 kali ulangan. Hasil yang didapatkan adalah ketiga stasiun pengambilan sampel memiliki kelimpahan rata-rata zooplankton berkisar antara 226-340 ind/L dan indeks keanekaragaman  berkisar antara 1,53-1,99. Hasil tersebut menunjukkan bahwa zooplankton di Sungai Ponggawa memiliki keanekaragaman jenis yang sedang, yang berarti produktivitas perairan di Sungai Ponggawa juga termasuk sedang. Spesies zooplankton dengan nilai kelimpahan paling tinggi dan ditemukan merata pada tiga stasiun adalah Arcella discoides. Hasil pengukuran parameter fisika kimia perairan Sungai Ponggawa menunjukkan bahwa perairan tersebut masih layak untuk kegiatan sarana rekreasi air, pembudidayaan ikan air tawar, peternakan, dan air untuk mengairi pertanaman.
Strategi Daya Dukung dari Jasa Ekosistem Wisata Muara Angke dengan Menggunakan SWOT dan IFAS-EFAS
Authors: Susanti Isti , Hilmi Endang , Sudarmalik Sudarmalik
Published: January 2023

Mangrove Ecotourism in Muara Angke  has the natural attractions as tourist destinations in Jakarta. The sustainability of tourism function is an important role to support  the economic development. This research aimed to determine the socio-economic characteristics of visitors and the carrying capacity to support the  formulating analysis of  ecotourism development strategies. The study used a survey method and deep interview. The results showed that the score of PPC < RCC > ECC indicated that the carrying capacity didn’t exceed the limitation conservation (has opportunity to developed). The development strategy were (1) the maintain the natural panorama of mangrove forests to support ecotourism activity; (2) The maintain fishing tourism activities; (3) the developing the instagramable photo spots; (4) The building canteens/food court that provides processed mangrove products; (5) Increasing the cost retribution to maintain the sustainability of environmental functions; (6) Involve the local communities to support ecotourism development
Fish Diversity in the Middle Part of Klawing River, Purbalingga Regency, Central Java Province
Authors: Saprudin Saprudin , Soedibja Petrus Hary Tjahja , Hidayati Nuning Vita , Pertiwi Rika Prihati Cahyaning , Sulistyo Isdy
Published: January 2023

Research on the diversity of fish species in the middle part of the Klawing River, Purbalingga Regency, Central Java Province, dealt with exploring the diversity of fish species in the middle part of the Klawing River. A survey method was applied to collect primary data during April-June 2022. Direct fish sampling was carried out at 3 stations in the middle part of Klawing River. The stations were chosen based on fish farming activities, domestic areas and accessibility. Station 1, 2, and 3 were located in Onje Village of Mrebet District, in Slinga and Lamongan Villages of Kaligondang District, respectively. The results showed that a total of 707 individuals were sampled, consisting of 23 species and 12 familia. Cyprinids dominated total samples. Diversity indexes were 1.94 and 1.99, in station 2 and 3, respectively. Diversity index in station 1 was 1.61. Dominance indexes were 0.26, 0.18, and 0.198, in station 1, 2, and 3, respectively. Evenness indexes consisted of 0.73 and 0.76, in station 1 and 2, respectively. However, evenness index in station 3 was 0.68.
KARAKTERISTIK HISTOPATOLOGI TUMO KARAKTERISTIK HISTOPATOLOGI TUMOR ORBITA DI RS MATA CICENDO BANDUNG TAHUN 2017-2018
Authors: Wardana Tirta , Janah Raudatul
Published: January 2023

Tumor orbita adalah tumor dalam rongga orbita yang terdiri atas primer, sekunder penyebaran dari struktur sekitar/metastasis Pemeriksaan histopatologi merupakan pemeriksaan goldstandar pada tumor orbita. Penelitian ini bertujuan untuk mengetahuai karakteristik histopatologi tumor orbita di RS mata Cicendo bandung tahun 2017-2018. Penelitian ini merupakan penelitian deskriptif dengan jumlah sampel 760 Data dikumpulkan berdasarkan catatan medis berupa umur, jenis kelamin, mata yang terlibat, lokasi tumor, tindakan, diagnosis klinis, hasil pemeriksaan patologi tumor. Penelitian ini didapatkan hasil umur pasien >45 tahun (43,4%), Mayoritas Laki-laki sebesar 55,4%, mata yang terlibat di mata kiri 51,1%, dengan lokasi terbanyak pada palpebral 36%. Dilakukan tindakan operasi sebanyak (24%). Hasil diagnosis klinis lesi tumor jinak sebesar 68,3% dan lesi tumor ganas sebesar 31,7% dimana limfoma maligna yang paling sering ditemukan. Hasil histopatologis berupa lesi tumor jinak sebesar 71,4% dan lesi tumor ganas sebesar 28,6% dimana squamous cell carcinoma menduduki angka tertinggi sebanyak 50%. Karakteristik histopatologi tumor orbita di RS mata cicendo Bandung didominasi oleh laki-laki, usia >45 tahun pada mata kiri  dan terletak di palpebral dengan hasil diagnosis klinis dan histopatologis tersering adalah lesi /tumor jinak.
THE EFFECT OF CIPLUKAN EXTRACT (Physalis angulata L.) AS ANTIPSORIATIC AND TO LYMPHOCYTES COUNT OF SKIN TISSUE IN PSORIASIS MICE MODEL
Authors: Sa'adah Putri Nur'afni , Sylviningrum Thianti , Novrial Dody , Pribadi Fajar Wahyu , Kusdaryanto Wahyu Dwi , Fareza Muhamad Salman
Published: January 2023

ABSTRACT

Psoriasis is a chronic skin disease in form of papule-shaped lesion and erythematous plaques with thick white scales. The pathogenesis of psoriasis involves IL-23/Th-17 cytokine pathway that contributes the activation of T-lymphocytes and proinflammatory cytokines. Treatment of psoriasis using methotrexate has inhibitory effect of the synthesis of nucleic acid towards T-lymphocytes and keratinocytes. Ciplukan (Physalis angulata L.) has anti-inflammatory potential effect which contains steroid, flavonoid, alkaloid, and physalin that may inhibit lymphocyte activation and proinflammatory cytokine production. The study is used the method of experimental study with post test only with control group design. Thirty five female mices were divided into 7 groups. The parameters of this study is anti-psoriatic (PASI and Baker’s score) and lymphocytes count in psoriasis mice model. The results of Kruskal-Wallis, PASI and Baker’s score showed that p=0,001 (p<0,05) and the result of lymphocytes count using One Way ANOVA showed that p=0,001 (p<0,05). The 800 mg/kgBW dose of ciplukan extract showed the largest decrease on PASI score and lymphocytes count, and the 1200 mg/kgBW dose one showed the largest decrease on the Baker’s score. The present of the 800 mg/kgBW dose of ciplukan extract  gives the most optimal effect in reducing PASI score and skin tissue lymphocytes count in psoriasis mice model that were not significantly different with the treatment control group, while 1200 mg/kgBW dose one gives the most optimal effect in reducing Baker’s score that were significantly different with the treatment control group.

 

Keywords: Ciplukan extract, lymphocytes, methotrexate, Physalis angulata L