bluuebunny/crossref_metadata_2025 huggingface dataset:
Facial Expression Recognition Using Convolutional Neural Network with Attention Module
Authors: Khoirullah Habib Bahari , Yudistira Novanto , Bachtiar Fitra Abdurrachman
Published: January 2023

Human Activity Recognition (HAR) is an introduction to human activities that refer to the movements performed by an individual on specific body parts. One branch of HAR is human emotion. Facial emotion is vital in human communication to help convey emotional states and intentions. Facial Expression Recognition (FER) is crucial to understanding how humans communicate. Misinterpreting Facial Expressions can lead to misunderstanding and difficulty reaching a common ground. Deep Learning can help in recognizing these facial expressions. To improve the probation of Facial Expressions Recognition, we propose ResNet attached with an Attention module to push the performance forward. This approach performs better than the standalone ResNet because the localization and sampling grid allows the model to learn how to perform spatial transformations on the input image. Consequently, it improves the model's geometric invariance and picks up the features of the expressions from the human face, resulting in better classification results. This study proves the proposed method with attention is better than without, with a test accuracy of 0.7789 on the FER dataset and 0.8327 on the FER+ dataset. It concludes that the Attention module is essential in recognizing Facial Expressions using a Convolutional Neural Network (CNN). Advice for further research first, add more datasets besides FER and FER+, and second, add a Scheduler to decrease the learning rate during the training data.
Road Image Recognition Technology based on Deep Learning Using TIDL NPU in SoC Enviroment
Authors:   Korean Institute of Smart Media, Shin Yunseon , Kim Injung , Seo Juhyun , Lee MinYoung
Published: January 2023

Deep learning-based image processing is essential for autonomous vehicles. To process road images in real-time in a System-on-Chip (SoC) environment, we need to execute deep learning models on a NPU (Neural Procesing Units) specialized for deep learning operations. In this study, we imported seven open-source image processing deep learning models, that were developed on GPU servers, to Texas Instrument Deep Learning (TIDL) NPU environment. We confirmed that the models imported in this study operate normally in the SoC virtual environment through performance evaluation and visualization. This paper introduces the problems that occurred during the migration process due to the limitations of NPU environment and how to solve them, and thereby, presents a reference case worth referring to for developers and researchers who want to port deep learning models to SoC environments.
Booting Process Profiling Tool for Baseboard Management Controllers
Authors:   Korean Institute of Smart Media, Kim Jaeseop , Hong Jiman , Park Minho
Published: January 2023

Baseboard Management Controller(BMC) supports server monitoring, maintenance, and control functions using various communication interfaces. However, if an unexpected problem occurs during the device driver initialization process, the BMC may not operate normally. Therefore, a boot process profiling tool that accurately analyzes the device driver initialization process and provides a function to check the analysis result is essential. Existing boot process profiling tools do not specifically provide the device driver initialization process and results required for BMC boot process analysis, forcing developers to use a combination of tools to analyze the boot process in detail. In this paper, we propose an integrated profiling tool for BMC's booting process. The proposed tool provides device driver initialization process analysis, CPU and memory usage analysis, and kernel version management functions. Users can easily analyze the booting process using the proposed tool, and the analysis result can be used to shorten the booting time. Also, the proposed tool is implemented in Linux-based BMC, and it is shown that the proposed tool is more efficient than the existing profiling tool.
Musculoskeletal Disorders and Relationship with Physical Activity in Office Workers
Authors: YÜZÜGÜLLÜ Didem
Published: January 2023

Purpose: The aim of this study is to investigate the relationship between musculoskeletal disorders and physical activity levels in office workers. Material and Methods: Extended Nordic Musculoskeletal System Questionnaire and the International Physical Activity Questionnaire Short Form were used. Results: A total of 107 people participated in the study. The results were as follows: gender being female increased the risk of shoulder pain 4.7 times. Working without a break for 4 hours or more increased the risk of pain in the neck by 5.6 times and the risk of pain in the shoulder by 5.2 times. Not doing enough physical activity increased the risk of neck pain 2.9 times, the risk of shoulder pain 5.6 times, and the risk of back pain 3.0 times. Conclusion: Physical activity level and musculoskeletal disorders were found to be related. In future studies, the relationship between which level of physical activity and which musculoskeletal disorder can be investigated.
Valoración inicial de las propiedades de la goma de nopal como posible aditivo en la conservación de edificaciones de adobe
Authors: Narváez Hernández Lilia , Miranda Vidales Juana María , Moreno Fraga Josué Israel
Published: January 2023

El presente artículo de investigación expone una posible aplicación de la goma de nopal (Opuntia ficus) como aditivo para favorecer la durabilidad de los adobes y que puedan emplearse en la conservación del patrimonio arquitectónico. La investigación se llevó a cabo en el laboratorio en especímenes cúbicos de tierra. Durante la preparación de las mezclas se adicionaron distintas concentraciones de goma de nopal previamente deshidratada y pulverizada. Mediante análisis de retención de humedad, capilaridad y resistencia a la compresión se evaluaron las muestras; los resultados demuestran que la adición de goma de nopal incrementa la resistencia a la compresión y reduce la capilaridad de los especímenes estudiados: de hecho, se logró mantener la cohesión de las partículas en los especímenes durante su exposición a medios húmedos. Haber obtenido tal comportamiento en las propiedades de dichos especímenes hace viable esta sustancia para su utilización en la conservación de edificaciones de adobe. _______ This research article exposes a possible application of the nopal gum (Opuntia ficus) variety as an additive to promote the durability of adobes, which may be used in the conservation of architectural heritage. This research was carried out in the Laboratory on Cubic Soil Specimens. While preparing the mixtures, different concentrations of previously dehydrated and powdered nopal gum were added. Through moisture retention, capillarity and compressive strength analysis, the samples were evaluated, and the results found—also discussed here—show that adding nopal gum increases the compression strength of soil specimens and reduces capillarity. In fact, it was possible to maintain the cohesion of the particles in the soil samples during their exposure to humid environments. Having obtained such aptitude in the properties of said specimens makes this substance viable for its use in the conservation of adobe buildings.
Caminando desde la casapuerta al corral. Los suelos de la casa sevillana del siglo XVI
Authors: Núñez-González María
Published: January 2023

Este artículo pretende dar a conocer los suelos en los espacios que caracterizaban la casa sevillana en el siglo XVI a partir del análisis de casi 800 apeos realizados por maestros alarifes y cuya propiedad pertenecía a instituciones religiosas. A partir de este estudio se han detallado pormenorizadamente los espacios y sus pavimentos siguiendo un recorrido similar al efectuado por los alarifes. Igualmente, se han elaborado dibujos en planta a partir de los apeos y un análisis de detalles constructivos y de la relación existente entre los espacios y sus acabados superficiales. Además, se han seleccionado tres casas de las que se aportan planos, detalles, fotografías e infografías como ejemplos de tipos de suelos en las casas sevillanas.
IMPROVING STUDENTS’ VOCABULARY THROUGH PICTURE CARDS
Authors: Saripah Wa
Published: January 2023

This action research aims to find out if picture is the best work to improve students’ vocabulary at eighth grade (VIII-2) students of MTs Negeri 1 Muna. In this study, the researcher used an action research method which consists of four steps planning action, implementation, observation and reflection. The sample of 29 students were chosen by purposive sampling. The data were collected from observation, questionary and vocabulary test. In analyzing the data, the writer used qualitative and quantitative approach. The finding stressed that picture can help students in gaining vocabulary. This was proved by comparing the result of students’ score in preliminary research to the next cycle. After using picture card for first cycle, the students got 32.57. There was an improvement on students’ vocabulary in the second cycle. They got 55 on average. Another improvement occurred on the third cycle; they gained 81 on average as evidence that they reached the minimum target.
Sistem e-Commerce Penjualan Handphone Baru dan Second Pada Sinar Cell Selong Lombok Timur
Authors: Zaen Mohammad Taufan Asri , Yuliadi Yuliadi , Farijan Ahmad , Suryadi Muhammad Irwan
Published: January 2023

E-commerce is a process of trade transactions between sellers and buyers by utilizing internet media online to save operational costs such as paper, ink, and catalog printing. Sinar Cell is a cellular shop that is engaged in selling cellular devices in the form of new and used cellphones that have many customers spread across the West Nusa Tenggara region. Currently, the sales procedure at Sinar Cell stores is still conventional, where customers come directly to the store or make transactions by telephone because they do not have online marketing media. Based on this, a sales e-commerce application is needed which is developed using the SDLC (System Development Lifecycle) method using PHP programming and My SQL database. This application can help companies promote their products and make it easier to manage sales. In addition, it can help customers to get product-related information quickly and can place orders directly without space and time limits.
Analisis EIGRP Metric Dalam Penentuan Jalur Terbaik Pada Jaringan
Authors: Sulaiman Oris Krianto
Published: January 2023

In managing a large network, it takes the ability to manage the network so that traffic is good. To connect to such a large network requires many routers, each router will connect to one another. But the best choice of any router is required for network traffic efficiency. There are two routing protocols that can be used, namely static routing and dynamic routing. EIGRP is dynamic routing which, principally between routers, can communicate directly and dynamically, so that when there is a new router in a network, routers can communicate directly because they can exchange information. EIGRP uses the Diffussing Update Algorithm (DUAL) in determining the best path. In this study, EIGRP metrics will be analyzed to try the best path on the network by sending Internet Control Message Protocol (ICMP) packets. There are two networks that will be tested with differences in the Fast Ethernet bandwidth interface of each router. This experiment resulted in different values between Fast Ethernet default bandwidth and non-default bandwidth, so that the value of the variable affects the selection of the best path of network traffic
Deteksi Dini Hama dan Penyakit Padi Menggunakan Metode Certainty Factor
Authors: Sulistiyanto Sulistiyanto , Saputri Tri Aristy , Noviyanti Noviyanti
Published: January 2023

Padi is one of the main food commodities. Every year the need for rice continues to increase, as fulfillment of domestic and export needs. Various efforts were made in order to increase rice production, including superior seed seed research, expansion of planting land and counseling and mentoring to farmers. Pests and diseases are one of the 'main factors that have an impact on the decline in the productivity of rice plants. Recognizing Symptoms of the disease requires skills and experience and knowledge. Symptoms that arise often by farmers are difficult to recognize and only experts who can identify it correctly and correctly. The limitations of agricultural experts in the region, are obstacles for farmers when they want to consult. The expert system can then be an alternative solution to replace the expert role in deciding the type of disease that attacks. This study aims to design an expert system using certainty factors for website-based to help farmers in deciding the type of disease. Diseases that are sampled include blast, hawar daun (kresek), busuk pelepah, tungro (kerdil), chocolate spots and striped spots. The method used in this research is Reseach And Development (RND).The results of system output testing validated by experts have an accuracy of 66.67%, and system testing with blackbox testing is declared valid to the main features of the system. It is expected that this expert system, farmers become helped in deciding the type of disease that attacks their rice and can take preventive actions so as not to spread to other rice plants
Rancang Bangun Aplikasi Rekomendasi Restoran Menggunakan Metode K-Nearest Neighbors dan Content-Based Filtering
Authors: Liang Suwarno , Susanto Jon
Published: January 2023

The culinary business is a promising business today because food and beverages are basic needs. This can be seen from the number of cafes, restaurants or restaurants in Batam City. Along with the rapid growth of the culinary business, the variety of food is becoming increasingly diverse, thus making it increasingly difficult for consumers to choose and determine the right food, both based on taste and ease of access. Therefore, it is necessary to need a system that can provide the user with the best and most suitable food or restaurant recommendations. This study designs and builds a recommendation system using K-Nearest Neighbors which functions to recommend restaurants with the closest distance, while Content-Based Filtering functions to recommend foods according to user preferences. The system is built in the form of a mobile-based application so that users can access and get more relevant recommendations
Implementasi Bug Tracking System dengan Metodologi Scrum dan Algoritma Cosine Similarity
Authors: Liang Suwarno , Hartanto Yudi
Published: January 2023

A bug is a system error that causes a mismatch between user expectations to actualization. Bugs often arise from programmatical mistakes, and a prompt resolution is mandatory so that the users’ business processes are assured. However, the author has noted a low efficiency of developers’ bug solving. After research, the cause is the lack of knowledge management, especially in bug tracking. This has resulted in the repetition of the error. The developers often made the same mistake that the others had encountered. The above has moved the author to build a bug tracking system (BTS) that can enhance the efficiency of bug solving. The author has developed the application using Django, MySQL, and Scrum. Scrum’s agile approaches enable dynamic and rapid development. In addition, BTS utilized a content-based filtering algorithm known as Cosine Similarity. This study results in the implementation of BTS with comprehensive capabilities. Users can manage bugs and compare them to others to find potential duplication into minimizing data redundancy. The author has implemented the BTS towards groups of developers. Through a user acceptance survey, the author finds 78.72% of system objectives achieved. The users find improvement in the quality and efficiency of their bug solving
Penerapan Metode Collaborative Filtering Untuk Personalized Learning Content Pada Learning Management System (LMS)
Authors: Fathurrahman Muhammad Alfian , Laksitowening Kusuma Ayu , Suwawi Dawam Dwi Jatmiko
Published: January 2023

The delivery of appropriate learning content can be one of the factors that can increase satisfaction, motivation, and interest of learners during learning sessions. But on the other hand, due to a large amount of learning content available on LMS (Learning Management System) and the difficulty of determining learning content that suits the needs and interests of each learner, it often causes some learning content to be overlooked by them. Therefore, this paper aims to design a personalized learning content system in LMS for learners. The main objective of this study is to provide learning content suggestions or recommendations for learners, based on the course module they previously accessed by applying Collaborative Filtering method. This method is used by utilizing dataset in the form of implicit feedback, obtained from the activities of learners when interacting with LMS. The UAT (User Acceptance Test) results show that the personalization system has been well received by as many as 82.67% of learners based on three aspects, those are interface, user, and system interaction aspects. Moreover, the MAE (Mean Absolute Error) calculation shows that this system has the best accuracy rate at a 10% sparsity level with the lowest average value of 0.4514.
Penerapan Data Mining Untuk Menentukan Strategi Penjualan Pada Toko Raja Komputer Menggunakan Metode Clustering
Authors: Wahyuni Ayu Sri , Utamajaya Joy Nashar
Published: January 2023

Toko Raja Computer Balikpapan is one of the laptop sales shops engaged in electronics with main products such as laptops, PC computers, and other accessories. Where the company every day must meet the needs of consumers and sales to be able to make the right decisions in determining the strategy. To be able to do this, Toko Raja Computer requires sales strategies to be able to attract buyers and increase company profits or revenues. In this study, data mining analysis was carried out by clustering techniques using the K-Means method. From the results of the research conducted, the results obtained from 1044 datasets of the Raja Computer sales list in 2021. So the results of clustering on the sales transaction data were 4 clusters of which there were 398 data following cluster 0, 363 data following cluster 1, 145 data following cluster 2 , and 138 data follow cluster 3, which means that clusters 0 and 1 are defined as products that must pay attention to the supply with the highest number, while clusters 2 and 3 are products with stock supply below clusters 0 and 1.
Implementasi Aplikasi Kepengaturan Dokumen Akreditasi Program Studi dengan Metode Borg and Gall
Authors: Ekawijana Ardhian , Wisnuadhi Bambang
Published: January 2023

The Study Program Accreditation Document Arrangement Application is an application that helps to arrange accreditation supporting evidence documents. Accreditation is often a tiring job because all supporting evidence is scattered, both in physical or digital format. The focus of this research is on making your own application product. The research method is based on the Borg and Gall method. This method has several stages to make a product. The programming language used is NodeJS. NodeJS has a small execution time and is light, so it does not burden the user's device.The result of this research is in the form of an application, according to this method the results of this application have only reached the stage of Develop preliminary form of product.
Implementasi Convolutional Neural Network Untuk Klasifikasi Daging Menggunakan Fitur Ekstraksi Tekstur dan Arsitektur AlexNet
Authors: Artya Amalia Hanifah , Jasril Jasril , Sanjaya Suwanto , Syafria Fadhilah , Budianita Elvia
Published: January 2023

The demand for meat began to increase rapidly, causing drastic price changes and causing the existence of scammers to inflate the price of meat to get big profits by mixing beef and pork. Few consumers are aware of the mixing of meat, to distinguish between beef and pork can be seen in terms of color and texture, but this theory still has weaknesses. This research uses the Deep Learning method, namely Convolutional Neural Network with Local Binary Pattern texture extraction feature and AlexNet architecture for meat classification. The research conducted stated that the accuracy of the meat image classification can be measured using various parameters and optimizers. The highest accuracy results obtained from this study were 68.6% accuracy, 62% precision, 57.6% recall, and 59% f1-score using the Stochastic Gradient Descent (SGD) optimizer, 0.01 learning rate, 32 batch size, and 0.9 momentum. Compared to the original dataset, the accuracy of the LBP dataset type is still below the original dataset with the results obtained from the accuracy of the original dataset are 84.1% accuracy, 78.6% precision, 79% recall, and 79% f1-score using the RMSprop optimizer, 0 .0001 learning rate, 32 batch sizes, and momentum So it can be concluded that the AlexNet architecture by setting the existing parameter values can increase the accuracy value.
Analysis of Expertise Group Using The Fuzzy K-NN Classification Algorithm (Case Study: School of Computing Telkom University)
Authors: Kusuma Jodi , Kurniati Angelina Prima , Karo Karo Ichwanul Muslim
Published: January 2023

The School of Computing at Telkom University has four Expertise Groups that defines the lectures taken by students. Deciding the Expertise Group, will be influential in deciding elective courses and raising the topic of the Final Project. There are many students who are still having difficulty in deciding the Expertise Group and finally only decide based on the most popular Expertise Group without seeing their potential and abilities. The impact of wrong decision of the Expertise Group are delays in graduation time. It will then affect accreditation of study program and university rank, especially in the timely graduation indicator. Therefore, it is necessary to have a system that can predict the decision of the Expertise Group for the School of Computing students based on their academic scores. In this study, prediction using the Fuzzy K-Nearest Neighbor classification algorithm was chosen because it can determine the class based on the nearest neighbor and consider ambiguous data because of the weighting value in each class. There are five tests carried out to get the best model, namely (1) examine the best split training and validation data, (2) examine the best K value, (3) compare Fuzzy K-Nearest Neighbor with Naïve Bayes and Decision Tree (C4.5) which is a commonly used classification algorithm, (4) examine the values of accuracy, precision, recall, f1-score, and (5) examine the values of accuracy using Cross-Validation method. The result is that the model made using Fuzzy K-Nearest Neighbor has an accuracy value of 72% in the case of imbalance data, 62% in the case of applying the undersampling technique, and 56% in the case of applying oversampling. Based on experiments with the other two algorithms, it was found that compared to the other two algorithms, the Fuzzy K-Nearest Neighbor has a higher accuracy value in the case of imbalance data and the case of applying to undersampling, but it has a lower accuracy in the case of applying oversampling, due to the lack of Fuzzy K-Nearest Neighbor in handling small minority data variations.
Pengukuran Level Kapabilitas (Capability Level) Tata Kelola Teknologi Informasi Pada Koperasi Unit Desa Mino Saroyo Cilacap Menggunakan Cobit 5
Authors: Adjie Rizky Firdaus Kusuma , Setyadi Resad
Published: January 2023

Information Technology (IT) investment in the Village Unit Cooperative (KUD) environment is influenced by the importance of information needed by rural communities. IT is very necessary to help performance to be maximized, especially in the KUD environment. In an effort to improve performance, KUD invests IT in several business fields. However, once the invested IT is not fully used according to its business goals. IT management is still the responsibility of each business field. Therefore, the results achieved are not comparable to what was expected after the implementation of IT. From these problems, it is necessary to have an IT Governance audit in order to find out the maturity value of the IT that has been implemented. This study aims to measure the it maturity applied by the Mino Saroyo Cilacap KUD, so it is necessary to use an international standard framework, namely control objectives for information and related technology (COBIT) version 5. The results of measuring the maturity level of IT Governance kud are currently estimated to be at level 2. The maturity level of the KUD at level 2 means that the KUD management process already has formal and written standard procedures. However, KUD has not carried out socialization to all levels of management and employees to be obeyed and carried out daily activities. The recommendations from this study provide problem solving as a reference to the KUD for improvement from the TKTI side so that it goes hand in hand with organizational goals and as expected by stakeholders in predicting the optimal use of IT resources.
Implementasi Metode Moving Average dalam Analisis Rantai Pasok Daging Sapi di Indonesia
Authors: Prakoso Lintang Dandung , Darmansah Darmansah , Widia Tri , Hanifah Hanin Salma
Published: January 2023

Beef is meat that comes from common or common cattle and is suitable for food consumption and does not trigger health problems for those who consume it. The need for beef consumption in Indonesia has not been fulfilled because beef production has decreased. This research discusses the analysis of the beef supply chain in Indonesia using the moving average method for forecasting the amount of beef consumption and production in Indonesia in 2022 and using the dextructive analysis method to analyze problems in the supply chain. The data source in the research is based on data available at the National Statistics Agency. And the forecast results show that beef consumption in Indonesia in 2022 will increase by around 0.10% from 2021. However, this is inversely proportional to the amount of production which has decreased by 1.79% from 2021. The results of this study show that the cause of the decline in beef production in Indonesia is in the supply chain for the on-farm sector, including some traditional cattle farmers, human resources, lack of facilities and infrastructure and feed resources.
Pengaruh Penggunaan Media Sosial Instagram Bagi Mahasiswa STMIK Borneo Internasional Balikpapan Menggunakan Technology Acceptance Model (TAM)
Authors: Ismawan Ego , Canta Dila Seltika , Hadisaputro Elvin Leander
Published: January 2023

Instagram is one of the most popular social media applications in Indonesia and in the world and almost all people access it. The word Instagram is a combination of Insta (instant) and telegram. Insta refers to a polaroid camera that can produce photos instantly. Through Instagram we can upload photos and videos, and publish them. The purpose of this study was to analyze the factors of the technology acceptance model related to the use of Instagram at STMIK Borneo International Balikpapan. The problems that exist in this study are the ease of using the system, the use of the system, and the attitude it causes. This type of research is a case study. The subjects in this study were active students at STMIK Borneo Internasional class 2018-2020 who had been actively using Instagram for the last 5 months. The technique used for data collection in this research is a survey method, and by using a questionnaire. The software used by researchers to analyze the research data is IBM SPSS 25. From the research results, users feel that it is easy to use Instagram social media, and users feel the benefits of Instagram social media. From the convenience and also the benefits felt by users, the interest in using Instagram social media also produces a very good response. Based on data analysis, Perceived usefulness (POU) has a positive and significant effect on behavior intention (BEU) using Instagram. The t-statistic value is 5.040 > 2.032 with a stg value of 0.000 < 0.05. Perceived ease of use (PEU) has a positive and significant effect on behavior intention (BEU) using Instagram. The t-statistic value is 3.903 > 2.032 with a stg value of 0.000 < 0.05. In other words, the ease and benefits obtained are one of the factors in increasing interest in using Instagram social media.
Rancang Bangun Galeri UMKM Britama Berbasis E-Commerce
Authors: Yuliadi Yuliadi , Zaen Mohammad Taufan Asri , Rodianto Rodianto , Tazayyun Mega
Published: January 2023

UMKM BRItama in Batudulang Village is a small and medium micro enterprise that is engaged in the creative economy by marketing the products of Batudulang Village. UMKM BRItama in Batudulang Village in the process of product marketing  applies the conventional transaction because there is no special media that is used as a marketing solution. Based on this, we need an online media in the form of a website that can be accessed by all internet users without space and time limits. This study uses a descriptive qualitative approach with a software development methodology using Waterfall. The system design process with a structured approach and the construction stage using the Codeigniter framework. Before being implemented, this application will be tested by two parties, namely the first from the researcher as a developer and a competent party in software engineering to find out that the functions made are already running according to the specified specifications. The two tests were carried out by BRItama UMKM managers and several customers to ensure that the applications made were in accordance with their needs. To ensure the suitability of the user's needs of the application made testing using the black-box testing method. Of all the testing processes, 99% stated that the functions were running according to specifications and applications that had been made according to needs. UMKM BRItama Batudulang Village has become an application as a medium in product marketing without boundaries of space and time and helps expand the scope of product marketing
Rancang Bangun Aplikasi Aplikasi Iuran Sampah RT/RW Menggunakan Metode Rapid Application Development Berbasis Android
Authors: Sutrisno Aditya Pratomo , Wardhana Ariq Cahya , Burhanuddin Auliya
Published: January 2023

RT047/RW008 or Jl. Aries is a Neighborhood Association located in Sungai Besar Village, Banjarbaru City, South Kalimantan province. Within this RT environment, weekly and monthly activities are often held. One of the activities in this area is the monthly waste fee. This activity has been around for a long time when this environment was formed. However, in this monthly waste fee activity, we still use the recording method by recording data on a physical citizen membership fee card. In addition, the manufacture of this garbage contribution card still uses the service of making a contribution card which requires traveling and also incurs some costs. In the process of monthly waste contribution activities, it often results in the loss or damage of the citizen membership dues card, in which the treasurer has to make another card at the contribution card making service. Based on the problems found, a solution to the problem that can be found is to design an Android-based application that can run on Android Smartphone devices. This application will be designed using the Rapid Application Development method which will go through the process of data collection to application design. This application can perform the administrative process of digital waste dues. In addition, in the application there is also a reminder feature that will be sent to Whatsapp for every registered member of the group. Because this application runs on Android Smartphone devices, it can make it easier for users to input data and change data anywhere and anytime. The method used for designing this application is to analyze to find out what is needed in an application that you want to build. The final result of the implementation process in the form of Java programming and test results by users. By using the white box testing and black box testing methods, the result is that the application can run well and in accordance with the needs required by the user. With this android application, the RT environment can be more focused and become an RT that can be in line with current technological developments
Peramalan Jumlah Produksi Tebu Menggunakan Metode Time Series Model Moving Averages
Authors: Azahra Nabila , Alifia Salsabila Cahya , Andyka Nevandra Putra , Wijayanto Sena , Fathoni M Yoka
Published: January 2023

Plantation is all activities that use certain and specific plants with soil or other parts of plants in adapted ecosystems. Other plantation activities also include processing and marketing of these crops. In the plantation sub-sector, sugar cane is an important plantation and national economic development strategy and contributes significantly to the plantation sub-sector. Sugarcane is a plantation crop that is widely grown in Indonesia, such as in Java, North and South Sumatra. One of the sugarcane producing areas in Purworejo Regency is Loano District. There are many sugar factories scattered throughout the sugar cane development area and the leading sugarcane plants are in Purworejo Regency. The purpose of this research is to predict production to meet market demand using the Time Series method with the Moving Average model. This study uses a Moving Average model consisting of: Single Moving Average (SMA) and Weighted Moving Average (WMA) with forecasting accuracy using Mean Square Error (MSE) and Mean Absolute Error (MAE) as the selection of the best model to be used for forecasting. From this study, the results of forecasting the amount of sugarcane production in Loano District for the next 4 periods, after 2015 from the WMA model, are: 113,91 ton; 135,62 ton; 101,96 ton; and 89,88 ton. The best model result is the Weighted Moving Average (WMA) model with the smallest forecasting accuracy value, namely the MSE value of 1.833,07 and the MAE of 36,07.
Analisis Minat Dan Perilakumasyarakat Dalam Penggunaan E-Wallet Xyz Dengan UTAUT2
Authors: Melania Erika , Kusumawardani Dwi Mustika , Kusuma Dwi Januarita
Published: January 2023

Current technological developments affect all activities that were initially carried out manually, now can be done instantly such as a non-cash financial payment system, namely fintech. Fintech is defined as an industry consisting of companies that use technology, to make financial system services more efficient. One of the uses of fintech is e-wallet. E-wallet is an electronic service for digital payments and many other types of transactions. One of the e-wallet in Indonesia is Xyz. According to the MobileBoku report, the Indonesian market has five main players with the highest transaction growth sequence in 2020. Xyz is at the lowest position compared to other e-wallets. This shows the low number of users to use Xyz. This study focuses on the factors that influence the interest and behavior of the Indonesian people in the use of the Xyz e-wallet with the Unified Theory of Acceptance and Use of Technology2 (UTAUT2) model. The UTAUT2 model is the result of further development of the UTAUT model. Based on the above background, the research was conducted using the UTAUT2 model to analyze the factors that influence the interest and behavior of the Indonesian people in using Xyz. The purpose of this study was to determine the factors that influence interest in the use of Xyz as a sustainable development effort for the agency. The testing technique used is SEM-PLS. In accordance with the existing tests, it is known the factors that influence the use of the Xyz e-wallet application, such as facilitating conditions, hedonic motivation, and habits
Analisis Perbandingan Sistem Pendukung Keputusan Pemilihan Guru Terbaik Menggunakan Metode TOPSIS dan WASPAS
Authors: Dafitri Haida , Wulan Nur , Ritonga Hanna
Published: January 2023

In an effort to improve the quality of education for students as the nation's next generation, competent teachers are neded in providing education to students. The task of the teacher is to educate, teach, guide, direct, train, assess, and evaluate students. Decision support systems in the world of education are seen as important assets to support fluency and accuracy in achieving a goal. SD Negeri No. 101211 Aek Batang Paya does not yet have a decision support system to assist the principal in selecting the best teacher, manual decision making will result in an assessment that is not objective so it is not appropriate. Therefore, the authors designed a decision support system for comparative analysis between the two methods, namely the TOPSIS method and the WASPAS method with specified criteria. These two methods are compared to find out which method is more effective, easy and fast in the calculation process which is expected to help in determining the best teacher
Pengembangan Backend Investasi Berbasis Website pada Ekosistem Digital Ihya dengan Metode Iterative Incremental
Authors: Permana Krisna Dwi , Fauzi Rahmat , Suakanto Sinung
Published: January 2023

Technological developments in the industrial era 4.0 are very fast coupled with the COVID-19 pandemic. The digital ecosystem is one that has developed rapidly during the pandemic, many people need a complete platform to meet all their needs, so the presence of a digital ecosystem is expected to provide all user needs. One of the things that users want in a digital ecosystem is an investment module. The existence of a digital ecosystem with an investment module will greatly help people who need capital and creation due to the pandemic. However, at this time there are still few digital ecosystems that have this module. So there is a need for a digital ecosystem that has an investment module to make it easier for users to access and use it, so the creation of a website-based digital ecosystem called Ihya, especially on the investment module. The creation of the digital ecosystem website was made using the iterative incremental method as its development method. The development of the Ihya digital ecosystem on investment modules made using the PHP programming language with the Laravel framework and the CSS Bootstrap framework, and stored in a MySQL database. The investment module in the Ihya digital ecosystem was tested using the black-box testing, user acceptance test, and load test methods. After testing, the Ihya digital ecosystem investment website meets user needs as an investment platform with a user acceptance test value of 85.1%.
Kerangka Kerja Indikator Pengukuran Tingkat Kematangan Transformasi Digital Perguruan Tinggi
Authors: Arie Wibowo Yanuar Firdaus , Suwawi Dawam Dwi Jatmiko , Febriyani Widia
Published: January 2023

Strategic planning is an essential part of the college life cycle; a critical aspect of planning is the digital transformation of universities. Digital transformation supports university business processes and is a riving engine for universities to adapt to changes to provide added value for the best services for all stakeholders. To achieve this, universities need an overview of the maturity level of digital transformation that has been achieved today. This research produces a new methodology for assessment in a holistic framework as an indicator of measuring the maturity level of digital transformation.This measuring tool must be easy to use by universities when they will take measurements for all academics and easily understood by all respondents who are determined to provide an accurate picture of the maturity level of digital transformation. The final result is presented in the form of a framework that contains a standard value index of maturity level, and recommendations for digital transformation as a form of self-evaluation for higher education strategic planning
Rancangan Aplikasi Autentikasi Surat Digital dengan Metode One Time Password SHA-512 Berbasis Android
Authors: Kamila Salwa , Lindawati Lindawati , Fadhli Mohammad
Published: January 2023

Some administrative procedures in many institutes are still carried out conventionally, which is deemed less efficient and takes much time. On the other hand, communication with other parties requires a process of exchanging information, so a system is needed to confirm the validity of the information. Therefore, a digital letter system that can prove the validity of the information gained through the digital media right from the party concerned is developing. This can be overcome using the authentication method. Adding One Time Password (OTP) as an authentication method that employs one temporary password key can be the solution. This study uses the One Time Password (OTP) method as a validation system and the SHA-512 algorithm as an OTP code generator to generate random codes. This system leverages android technology on mobile to ease access to the correspondence administration system to make it easier to visit with features that prioritize information and access speed. This application is implemented at the State Polytechnic of Sriwijaya to improve the administrative process to run more effectively. The black box testing revealed that all available menus and features were appropriate, and the application already had a system that functions according to user needs. Moreover, in the One Time Password generation test with the SHA-512 algorithm, it was determined that the average response time for generating the OTP code was 4.4 seconds in 15 trials, which can be considered fairly accurate.
Effect Of MVVM Architecture Pattern on Android Based Application Performance
Authors: Epiloksa Hammamul Achdan , Kusumo Dana Sulistyo , Adrian Monterico
Published: January 2023

The performance of android-based mobile applications is very important to pay attention to because performance will be related to how users will feel the experience of the application. This relates to memory usage and CPU usage on android devices when using applications. There are several ways used to improve the performance of android-based mobile applications, one of which is by applying an architecture pattern. The use of the right architecture is expected to produce good performance for android devices when running an application. Therefore, the author conducted a study on whether the application of the MVVM architecture pattern by changing the program code with the refactoring method will affect memory usage, CPU, and code execution time in Android-based applications. This is implemented using the Android Studio application and using android profiler tools to measure the performance of the application.
News Recommender System Based on User Log History Using Rapid Automatic Keyword Extraction
Authors: Benita Inggrid Resmi , Baizal Z K A
Published: January 2023

There are many ways to find information; one of them is reading online news. However, searching for news online becomes more difficult because we should visit multiple platforms to find information. Sometimes, the recommended news doesn't match the user's interests. In many prior works, news recommendations are based on trending. Thus, the recommended news may not necessarily match the user's interests. To overcome this, we built a web-based news recommender system to make it easier for users to find news. We use the Rapid Automatic Keyword Extraction (RAKE) method in the recommendation process because this method can recommend news based on user preferences by utilizing user history logs. RAKE converts the title and content of the news into vector representation using Count vectorizer and applies the Cosine Similarity function to compare similarities between news. The test results show that the average performance of our proposed system is 90.8%, this accuracy outperforms earlier systems in terms of performance by the purpose of the recommender system, i.e., diversity, novelty, and relevance.
Hoax Detection Tweets of the COVID-19 on Twitter Using LSTM-CNN with Word2Vec
Authors: Anggreyani Prisla Novia , Maharani Warih
Published: January 2023

The growth of Twitter users is increasing every year, impacting activities in social media such as hoaxes that are increasingly widespread on various platforms. During this pandemic, the rate of hoaxes is growing because nowadays, it is very easy for humans to interact with each other, have opinions, and exchange information. One of the hoaxes that often appears is the hoax about the Covid-19 virus. Therefore, a method for detecting hoaxes is needed, especially for the topic of the Covid-19 virus in Indonesia. The method used in hoax detection is LSTM-CNN with Word2Vec. More than 1000 tweets data are used in this study, divided into hoax and non-hoax categories. Detection is carried out to analyze the hoax results obtained by using Word2Vec as a method to convert data as a classification vector and LSTM-CNN to classify the data. This work's result showed that the LSTM-CNN model with Word2Vec achieves 79.71% accuracy, surpassing the LSTM model and CNN model.
BERT Implementation on News Sentiment Analysis and Analysis Benefits on Branding
Authors: Abdussalam Muhammad Faris , Richasdy Donni , Bijaksana Moch Arif
Published: January 2023

The rapid development of information makes data processing easy and fast, especially in the business world, so many business brands have used the internet as a marketing medium for their operations. Now the business does not only depend on its operations; now, the opinion of the public media, especially on the news, has become an essential spotlight in today's business, especially against negative opinions that indirectly impact the image and product branding of the business, we need the proper means to help identifying and analyzing this kind of news. This study aims to identify and analyze sentiment with negative and positive indications on news titles from one of the sources of an Indonesian online news portal using the Bidirectional Representations from Transformers (BERT) sentiment analysis method, with the measurement of the confusion matrix metrics to measure and identify which headlines contains negative and positive indications. The sentiment analysis system offers identification and categorization with ease and immediately provide good results on identifying news. The results of this study, the sentiment model achieves an accuracy rate of 93% in identifying negative and positive news and F1-Score on negative identification rate of 92% and positive identification rate of 93%. The sentiment analysis system was built as effort to help analyzing against positive news indications or awful news as analysis benefits carried out to identifying alarming news indications towards branding.
Analisa dan Penerapan Metode Algoritma K-Means Clustering Untuk Mengidentifikasi Rekomendasi Kategori Baru Pada List Movie IMDb
Authors: Situmorang Abraham , Arifin Arifin , Rusilpan Ilpan , Juliane Christina
Published: January 2023

IMDb (Internet Movie Database) is a comprehensive website that offers information about movies from all over the world, as well as various information about director, actor, actress, and writer biographies and award nominations. Visitors to the IMDb website can browse ratings and reviews based on the movies they plan to watch. Top 250 Movies and Most Popular Movies are two categories on IMDb. Because the results of the highest rating and the largest votes are only displayed based on the highest order of votes or ratings, the two existing categories are judged less useful and irrelevant to the suggestions for visitors to choose and decide on a film. This is due to the results of the highest rating and the most numerous votes, as determined by the highest ruling on either the votes or the rating. As a result of this, data mining with the K-means clustering algorithm is used to geolocate data in order to view data and accuracy using Davies-Bouldin Index (DBI) to combine ratings and votes with average approach to determine the centroid. Based on the results of this study, it is concluded that the DBI population with the highest accuracy is Cluster K=2 with population 509, with a score of 0.456, based on the voting and rating information, it can be deduced that a new category of movies called Best Recommended Movie is being recommended to potential moviegoers on the imdb.com website.