bluuebunny/crossref_metadata_2025 huggingface dataset:
Conversational Recommender System for Impromptu Tourists to Recommend Tourist Routes Using Haversine Formula
Authors: Liviandra Monica , Baizal Z K Abdurahman , Dharayani Ramanti
Published: May 2022

In this paper, we use two terms to describe tourists, i.e. planned tourists and impromptu tourists. Planned tourists are tourists who intentionally travel. Meanwhile, impromptu tourists are those who accidentally become tourists because they are in a new area for an activity. Previously, tourists who were going to travel usually relied on the services of travel agents to get recommendations for tourist attractions, different from impromptu tourists this was not done before. Impromptu tourists sometimes do not have much time to carry out tourism activities so that impromptu tourists only visit the closest tourist attractions from their location. Lack of experience in a new area and only relying on information on the internet makes it difficult for tourists to find tourist attractions based on their preferences. One solution to this problem is that a system is needed that can recommend tourist attractions in terms of distance by considering tourist preferences. In this study, we developed a conversational recommender system (CRS) to obtain user preferences. For the method we use the Haversine Formula to calculate the distance. The results of this study are a web application that recommends tourist attractions and routes to several tourist attractions, which can be done at one time. Based on the evaluation of the time complexity in the route search, linear complexity is obtained which shows good performance with optimal conditions.
Optimization of Piezoelectric Sensor Based Lighting Power Management Using Fuzzy Logic Mamdani
Authors: Permana Devani Adi , Yasirandi Rahmat , Oktaria Dita
Published: May 2022

Information is a very important thing from time to time. Lighting is needed by humans to support their daily activities. The problem of the lighting sector today is energy efficiency which is still not resolved. Where the use of electricity for lighting is still using old technology that is not environmentally friendly and costs a lot of money per month. One of the concepts of IoT, namely smart lighting, emerged as a solution to overcome problems in the lighting sector. However, the current smart lighting still requires a direct power source from the government (PLN), In addition, sectors such as tourist attractions in rural areas still need to be considered because there are still many areas that do not have a power source that can be used for street lighting. the tourist attraction. So we need a smart lighting technology that can produce its own power source to reduce the electricity costs that must be incurred. This study aims to build a tool or device that can manage and optimize the energy expended by building an IoT device using a piezoelectric sensor as the main material to generate an electric field that will produce electrical energy for lighting or lighting in rural tourist destinations and using fuzzy algorithms. Mamdani logic is a determinant of the intensity of the light obtained from the light sensor on the IoT device. The overall results of the system that has been built can work properly and the Mamdani fuzzy algorithm can be used properly with an accuracy of 93% power saving at the time of testing. In addition, the monitoring system built is also following the data obtained from the system. The suitability between the fuzzy system and Matlab as a whole is in accordance with the value of 100%
Peningkatan Akurasi Metode K-Nearest Neighbor dengan Seleksi Fitur Symmetrical Uncertainty
Authors: Ginting Anirma Kandida Br , Lydia Maya Silvi , Zamzami Elviawaty Muisa
Published: May 2022

Accuracy of K-Nearest Neighbor (KNN) tends to be lower than other classification methods. The cause of this is related to the attributes used and the percentage of the influence of these attributes on the classification process in a data. And also attributes with less relevant influence can be a problem in determining the new class. One way that can be done to overcome this is by doing Feature Selection. In this research, the author selects features on K-Nearest Neighbor by using Symmetrical Uncertainty to remove attributes that have an unfavorable effect from the data set. Testing of the proposed method uses data sets obtained from the UCI Machine Learning Repository. The results obtained from testing the proposed method using feature selection with Symmetrical Uncertainty are able to increase the classification accuracy of KNN, with an increase in accuracy obtained after feature selection is 3.00 %.
Analisa Penerapan Metode Operational Competitiveness Rating Analysis (OCRA) dan Metode Multi Attribute Utility Theory (MAUT) Dalam Pemilihan Calon Karyawan Tetap Menerapkan Pembobotan Rank Order Centroid (ROC)
Authors: Karim Abdul , Esabella Shinta , Kusmanto Kusmanto , Mesran Mesran , Hasanah Uswatun
Published: May 2022

For companies, employees are an important aspect that must be supported by quality human resources. In the selection of permanent employees, usually the leadership in a company conducts an objective selection process in accordance with predetermined criteria. However, leaders often face several problems in this process, such as the selection is carried out in stages so that it takes a long time and the assessment of prospective employees is still done manually, making mistakes often occur. Therefore, a decision support system is needed as a solution to these problems by applying a comparison of the Operational Competitiveness Rating Analysis (OCRA) method and the Multi Attribute Utility Theory (MAUT) method and the weighting obtained by the Rank Order Centroid (ROC) method. The test results obtained the best alternative that is considered feasible as a permanent employee is in the same alternative, namely A5 on behalf of Risa Sabrani. The OCRA method produces the best preference value of 1.56 while the MAUT method produces the best preference value of 0.456 as the first rank
Evaluasi Pengalaman Pengguna dengan Menggunakan User Experience Questionnaire Perpustakaan Digital
Authors: Riche Riche , Marpaung Sophya Hadini
Published: May 2022

This study uses the User Experience Questionnaire (UEQ) to assess user experience in the STMIK Mikroskil digital library. In detail, research activities were carried out in several stages, namely by reinventing and determining the formulation of the problem to be solved, conducting literature studies, observing the STMIK Mikroskil library website, designing questionnaires, collecting data, and drawing conclusions. The User Experience Questionnaire (UEQ) is used to assess a system or find out the extent of the user experience in order to get a comprehensive impression of the experience of users or end users of a system. In this study it was found that the usability/user experience of the STMIK Mikroskil digital library for all available services was positive or decent
Analisis Risiko Teknologi Informasi Menggunakan Metode FMEA dan SAW dengan COBIT 5
Authors: Pinem Anjar , Panjaitan Erwin Setiawan , Andri Andri
Published: May 2022

The use of Information Technology (IT) in a university raises various problems, one of which is the understanding of risks its use. Universitas Quality Medan was identified as having no IT risk documents. This study aims to analyze and rank risks provide recommendations for improvements. Risk assessment is carried out on 9 business processes use COBIT 5 framework in domains APO12 and EDM03, the risk level assessment uses FMEA, for rank and recommendations using SAW. The current risk management process is still level 1 with the APO12 capability value of 1.36 and to be conditions at level 2 a capability value of 2.32 a gap of 0.96. EDM03 current condition is at level 1 a capability value of 1.19, while the expected condition at level 2 a capability value of 2.11 a gap value of 0.91. The results of the identification of risk levels in the APO12 have 3 risk level processes on a scale of 6, 1 process a scale of 7, and 2 processes a scale of 8. For EDM03, have 2 risk level processes a scale of 9 and 1 process level of risk on a scale 8. Priority of risks and recommendations for APO12 is subdomains APO12.06 (Respond to Risk) the most priority to improve management process, and for EDM03 subdomains is the priority for improvement in EDM03.03 (Monitor Risk Management)
Optimalisasi Kinerja Klasifikasi Melalui Seleksi Fitur dan AdaBoost dalam Penanganan Ketidakseimbangan Kelas
Authors: Tanti Tanti , Sirait Pahala , Andri Andri
Published: May 2022

One of the problems in data mining classification is class imbalance, where the number of instances in the majority class is more than the minority class. In the classification process, minority classes are often misclassified, because machine learning prioritizes the majority class and ignores the minority class so that this can cause the classification performance to be not optimal. The purpose of this study is to provide a solution to overcome class imbalances so as to optimize classification performance using chi-square and adaboost on one of the classification algorithms, namely C5.0. In this study, the majority class in the dataset used is dominated by the negative class, so the performance appraisal should focus more on the positive class. Therefore, a more suitable assessment is recall/sensitivity/TPR because the resulting value only depends on the positive class. The results showed that both methods were able to increase the recall/sensitivity/TPR value, meaning that the application of chi-square and adaboost was able to improve the classification performance of the minority class
Lorentz Force Experiment Prop based on IoT (E-Lorentz) to Support the Learning Process of Physics Subject for 9th Grade
Authors: Sakinah Hana Rifdah , Suwastika Novian Anggis , Makky Muhammad Al , Qonita Qori
Published: May 2022

Lorentz force teaching aids are proven to improve student’s cognitive abilities. The average result of N-Gain after using Lorentz force prop is 0.8 which is included in the high category. In the learning process, the teacher needed to design the course content, guiding, directing, and evaluating student learning outcomes. In the current situation, this learning process is still being done conventionally. Along with the development of technology, the Internet of Things (IoT) can facilitate the teaching and learning process. IoT allows data to be sent across a network without the need for human-to-human or human-to-computer interaction. The implementation of IoT in Education can also be called Internet of Education Things (IoET). IoT has many benefits in the teaching and learning process for both teachers and students. Students can learn directly with teaching aids so that their cognitive understanding increases. Teachers can also curtail activities that were previously done manually by reading activities that have been automatically saved, such as preparing, directing, giving questions, to recapitulating assessments. In this study, IoT technology has been implemented into the Lorentz force teaching aid (E-Lorentz)  and the system performance has been analyzed based on its functionality parameters, accurate data reading and suitability of the assessment are the main parameters. The reading accuracy test yielded a difference of 0.474 X 10-4 N, with an error percentage of 2.92% determined by using the Mean Absolute Percentage Error (MAPE) method. Data reading and suitability of the assessment have been tested and are able to run efficiently at 100%
Penerapan Logika Fuzzy Menggunakan Metode Mamdani Pada Prediksi Jumlah Kasus Positif Covid-19
Authors: Prakarsa Graha , Nasution Vani Maharani
Published: May 2022

The Covid-19 pandemic has caused many hospitals around the world to experience difficulties both in terms of management and infrastructure advice in providing services because the number of patients soared in a short time so that treatments such as providing services, facilities, and medical personnel were unpredictable. Therefore, we need an application that can predict the number of positive Covid-19 cases 14 days later to help the Covid-19 Handling Acceleration Task Force team in order to provide the right policies for handling the provision of services, facilities, and medical personnel. Fuzzy logic that can be used to analyze Covid-19 problems that contain uncertainty at this time. The research conducted to design the system was obtained from the observation of existing data, in this study using descriptive research methods. The results of this study conclude that the fuzzy logic of the Mamdani method in predicting the number of positive cases of COVID-19 in West Java Province has an error rate of 50.16%. The application of fuzzy logic in predicting the number of positive cases of covid-19 uses the fuzzy logic model of the mamdani method to predict the number of positive cases of covid-19 in West Java Province with an error rate of 50.16%
Analisis Aritmia (Gangguan Irama Jantung) Menerapkan Metode Certainty Factor
Authors: Hutasuhut Masyuni , Tugiono Tugiono , Nasyuha Asyahri Hadi
Published: May 2022

The heart is one of the most important organs for humans that functions to pump oxygenated blood, the heart can experience problems, one of which is arrhythmia, arrhythmia is a heart rhythm disorder or pattern of rapid changes from a normal heart rate. Heart rhythm disturbances (arrhythmias) are patterns of rapid change from the normal heart rate. This becomes a problem when not handled properly and correctly because it can cause disruption of the heart's function, even in more severe cases it can cause sudden death. An expert system is one of the artificial intelligence of humans that studies how an expert thinks in solving a problem, making decisions or drawing conclusions from a number of facts. An expert system is a system that adopts the expertise of an expert that can be used to overcome certain problems, one of which is diagnosing arrhythmias. This study applies Certainty Factor analysis which can provide additional knowledge to the public, especially knowledge on heart disease. So that arrhythmia analysis with this certainty factor method can be applied to a system that helps the general public in preventing and overcoming heart rhythm disorders
Sistem Informasi Penjualan Daster Handmade Berbasis Multiplatform Menggunakan WhatsApp Gateway
Authors: Asyhadi Ahmad , Naibaho Ronald
Published: May 2022

Duratu Jambi is a business unit that utilizes Instagram for sales activities. The product offered is a handmade negligee. Based on the analysis of the current system, the limitations of Duratu's system hamper the performance of the admin staff and require a system that can be used to manage all sales transactions, and generate reports. The system design is implemented based on progressive web applications that can run on multiplatform, and the system development is based on the waterfall method. The system testing method uses integrated testing. The results of this study are a new system to provide convenience in transacting and managing reports in Duratu Jambi
Model ARIMA Terbaik Prediksi Latitude dan Longitude Kegiatan Kapal Imigran Ilegal
Authors: Soewono Eddy Bambang , Harika Maisevli , Ramadhan Cahya , Soeharto Muhammad Reyhan
Published: May 2022

The migration of a person to another country without following the law is illegal immigration. Many problems are caused by this activity, ranging from population problems to increased crime. Predicting the emergence of ships carrying illegal immigrants can assist border patrols in planning patrols to planning defense equipment. Time series forecasting to predict the latitude and longitude of boats carrying illegal immigrants is the Autoregressive Integrated Moving Average (ARIMA) model. The case studies for this research are the Straits of Malacca and the Riau Islands. The prediction range is from one to four weeks to find the model with the smallest error. The ARIMA model for one-week prediction distance succeeded in obtaining the smallest RMSE. However, the smallest RMSE result (0.28730) was obtained for a four-week prediction distance with ARIMA model parameters (4,0,2) for longitude prediction. Meanwhile, the prediction of latitude. The best model is ARIMA (4,0,1), with an RMSE of 0.11457. For latitude and longitude predictions in the Riau Islands, the best models are ARIMA (3,0,0) with RMSE of 0.009074 and ARIMA (2,0,0) with RMSE 0.045815. Based on this study, the ARIMA model is suitable for predicting latitude and longitude data with a short prediction distance (one week)
Perancangan dan Implementasi Sistem Pengendalian dan Monitoring Penggunaan Peralatan Elektronik Berbasis Internet of Thing (IoT)
Authors: Sembiring Sarmayanta , Buchari Muhammad Ali
Published: May 2022

A control and monitoring system for the use of IoT-based electronic equipment has been designed with automatic and manual control systems using Arduino Uno, NodeMCU ESP8266, two PIR sensors, three ACS712 current sensors, three Relay modules and two infrared transmitter modules.The automatic control system will turn off the electronic equipment automatically when the two PIR sensors do not detect any movement and the current sensor detects that the equipment is still ON. The sequence of turning off the equipment in this automatic control is to make the equipment in the ON state into standby by sending ON/OFF data through the infrared transmitter module and then cutting off the current to the equipment using the relay module. Especially for lighting equipment, the system directly cuts off the current using a relay module. In manual control, the ON/OFF control of electronic equipment is carried out based on data sent by the NodeMCU ESP8266 to the Arduino Uno whose settings are carried out in the Blynk application on the user's smartphone. The experimental results show that the controller has automatically been able to turn off the equipment in the order that the equipment conditions are ON to standby and standby equipment to be OFF, specifically for lighting equipment in ON conditions to OFF. The manual control system using the Blynk application on the smartphone can already control the equipment by pressing the button on the selected application and the equipment state monitoring system can display equipment state information on the Blynk application according to the data sent by the main controller. The equipment state detection system can detect the state of the equipment ON or OFF with an average error of 4% of 350 times the variation of the test state on equipment consisting of a TV, DVD player and 8W lamp
Application of The Equivalent Partitioning Method in Testing for Automatic Test Case Generation on The Digi-OTA System
Authors: Amalia Silfi Nur , Widowati Sri , Richasdy Donni
Published: May 2022

Software testing is one of the important phases in determining software quality. In the software development cycle, the testing phase takes more than 50% of the development time. The process of creating test cases in software testing is the most difficult process and determines the success of the testing phase. Test cases for software testing can be created based on the existing analytical modeling in the software specifications. This kind of testing technique is known as model-based testing, which is one of the black box testing approaches. In this study, the analytical model used is the UML Activity diagram. The reason for choosing UML Activity diagrams is because this diagram can model activities in software based on behaviors and conditions that are by the sequence. The output of this research is a prototype of a test case generator using an activity diagram. The analysis of the suitability of the test cases generated for the Digi-OTA application using the equivalence partitioning method is 100% when tested with valid data test specifications, while when tested with invalid test data specifications it produces 100% for approving actors, 95.98% for employee actors and 95.45% for detail officer actor.
Fully Communication Oriented Information Modeling On SME Information Systems Development
Authors: Nadila Ela , Lhaksmana Kemas Muslim , Putra Seno Adi
Published: May 2022

Information modeling a very important role in the development of information systems today. Information modeling is an activity to create a conceptual model that includes all significant information in business processes. Using information modeling, a machine is needed for implementation, and redundancy and anomaly problems are also common in databases. This problem arises when the database is not normalized. To solve the problem, this research will analyze the SME information system using the Fully Communication Oriented Information Modeling  (FCO-IM) method and compare it with the method without FCO-IM made by 12 designers. The results of the analysis, information modeling using FCO-IM method can produce a relational data schema that already meets 3NF normalization and is suitable for implementation in SME information system development so that it can be used as an option in data modeling and can avoid data redundancy problems.
Implementasi Metode Naïve Bayes Dalam Penilaian Kinerja Sales Marketing Pada PT. Pachira Distrinusa
Authors: Senika Anis , Rasiban Rasiban , Iskandar Dadang
Published: May 2022

This study aims to build an information system that can support companies in making decisions, especially regarding sales assessment at PT. Pachira Distrinusa. This is motivated by the difficulty of determining whether or not a sales person deserves an efficient value, because the system is not yet computerized and employee data documents are piled up. In this study, the data used are assessment data at PT. Pachira Distrinusa and the method used is the Naïve Bayes Classifier algorithm. And to find out how well the Naïve Bayes Classifier algorithm is used in this study, the RapidMiner calculation is used to perform the test. From the test in RapidMiner, the accuracy value is 91.67% and the ROC value is 0.979, which means that the Naïve Bayes Classifier algorithm is very well used in this study. After testing using RapidMiner software and getting the test results, then it is implemented into a system using PHP and MySQL which is designed to predict sales assessments. The prediction results obtained from the system are in accordance with the calculation results obtained from RapidMiner calculations and manual calculations. Based on the research that has been done that the decision support system built can be applied to PT. Pachira Distrinusa so as to make it easier to determine the feasibility of the sales assessment at PT. Pachira Distrinusa efficiently.
Pengembangan Sistem Informasi Media Promosi UMKM Menerapkan Metode User Centered Design
Authors: Saputra Viki , Hidayatullah Deny
Published: May 2022

One of the requirements of globalization in the business world is to integrate restaurant management with information systems and computerized technology. Therefore, the web is a medium and publication that can be easily searched anytime and anywhere through the internet without being limited by geographical areas that can be used for food vendors. The purpose of this research is to build a web-based advertising media system. The research flow is through collecting data through interviews, observation, documentation, and literature studies. by applying the User Centered Design process to the system using the Unified Modeling Language (UML). Apply the PHP programming language, create a front-end design using the Bootstrap framework, and a MySQL database to create a web. As part of this research, developed a web-based advertising medium for the Ketupat Sayur Uni Epi.
Penerapan Metode SAW (Simple Additive Weighting) Dalam Pemilihan Saham Terbaik Pada Sektor Teknologi
Authors: Siregar Rosma , Sari Kartika , Siregar Siti Julianita
Published: May 2022

Stocks are one of the many investments that are favored by all groups because they promise high returns. But in addition to promising high returns, stocks can also provide a high risk of loss, which makes ordinary people afraid to start investing in the stock market. To prevent losses in buying stocks is to choose stocks with good fundamentals. To support this, we need an analysis that can help make decisions in choosing the best stocks in the technology sector. The saw method analysis will be used in this study, where the saw method is able to select alternatives based on predetermined categories. This study will rank the best stocks based on company fundamentals, namely EPS, PER, PBV, ROE, DER and Dividend Yield. The results of this study are EDGE stocks as the best stocks in the technology sector with the highest value of 0.88. The purpose of this research is to help investors choose stocks before investing in technology companies.
Membangun Framework Konseptual Terintegrasi Menggunakan Metode Composite Logic untuk Cloud Forensic Readiness pada Organisasi
Authors: Fadilla Merisa Kurniasari , Sugiantoro Bambang , Prayudi Yudi
Published: May 2022

In the Forensic Readiness approach, incident readiness is the goal of the company or organization in dealing with incidents that may occur. Forensic Readiness can consist of actions or steps, technical and non-technical, that supposedly maximize an organization's ability to use digital evidence. A well-built Cloud Forensic Readiness Framework can help speed up and simplify decision-making regarding an incident occurring in a cloud computing environment. This creates new opportunities for collaboration in the field of digital forensics and cloud computing or cloud computing, so that solutions can be studied and researched by analyzing various literature sources of cloud computing forensic readiness framework and building an integrated cloud forensic readiness framework on an institutional scale using the composite logic method. With the completeness of the readiness framework designed, it is a kind of research that is expected to ease decision making process for organizational stakeholders to handle incident responses.
Penerapan Metode Joint Application Design (JAD) dalam Pengembangan Sistem Informasi Penjualan Jaket Hoodie Berbasis Website
Authors: Aldisa Rima Tamara , Alfarisi Sechan , Furqon Muhammad
Published: May 2022

An effective sales system in a company requires an innovation and novelty in building a system that can help companies reach all market segments and society. Because the company's business activities still apply offline sales methods, namely coming directly to the store, viewing products and paying in cash. To meet the needs of the company and its customers, this company requires a web-based or online system for sales and customer data storage purposes. The programming language used is the PHP language using the CodeIgniter framework and MySQL as the database. The results of the research and the results of the output of this system will produce a website-based information system for selling jackets or clothes that can be used by the company or jacket shop to meet the needs of selling Hoodie Jackets from every consumer quickly and accurately, and is expected to assist in perform category searches by size, product orders, and digital payments for products.
Optimasi Protokol LEACH Menggunakan PSO Pada Mobile Ad-Hoc Network
Authors: Ramadhani Afifah Dwi , Segara Alon Jala Tirta , Wijayanto Aditya
Published: May 2022

Mobile ad-hoc network is a wireless network with variable topology and communication routes. In a MANET network, nodes have the role of finding and handling routes to each node in the network. There are several challenges such as bandwidth, power, and direction of movement of nodes. A routing protocol is needed to determine the route and ensure that the packets sent successfully arrive at their destination to solve this problem,. In large-scale networks, the routing structure requires redundant route information, resulting in frequent overhead. We investigated the use of the LEACH protocol as a hierarchical protocol to solve the network overhead. The proposed research also adds a PSO algorithm to optimize the performance of the LEACH protocol. The research method uses simulation methods and evaluation of routing models using Network Simulator. Evaluation is prioritized on the use of traffic TCP and UDP. The results show that TCP traffic has better delay, packet loss, and PDR values compared to UDP traffic when using the LEACH protocol. When the PSO algorithm is added, the delay value in TCP traffic decreases by 47%, the packet loss value decreases by 78%, and the PDR value also increases by 0.1%.
Monitoring Banjir Berbasis Wireless Sensor Network
Authors: Jahir Abdul , Indartono Kuat , Kusuma Bagus Adhi , Ghofur Abdul
Published: May 2022

Flood disasters often occur in Indonesia. Banyumas Regency is one of the districts that often experiences flooding. The area with the flood-prone category is Sumpiuh sub-district. One of the villages that often floods is Pandak Village. Cases that often arise when it rains for a long time and after it stops only a few moments later floods occur. The purpose of this study is to provide early warning system of flood detection to residents, so that material losses can be minimized. This research was conducted by making a Wireless Sensor Network (WSN) based flood monitoring device. The device consists of sensor nodes and gateways connected to a star topology. The sensor node is equipped with a Long Range (LoRa) module and a laser sensor, at the gateway it is equipped with a LoRa, liquid crystal display (LCD) and a buzzer. Functional test results, the device works well. The laser sensor can measure water levels up to 150 cm and for a LoRa range up to 250 m. The gateway can receive data sent by LoRa and can display the laser sensor measurement results on the LCD and the buzzer can give a sound signal. The device can monitor the water level with the display of the water level in real-time on the LCD and the buzzer can sound according to four water level statuses are safe level, first alert level, second alert level and danger level.
Analisis Usability pada Situs Perpustakaan UC dengan Menggunakan System Usability Scale
Authors: Maryati Indra , Nugroho Elisabeth Inez , Indrasanti Zefanya Oktaviana
Published: May 2022

During the Covid-19 pandemic, libraries have been severely impacted by a decline in visitors. Universitas Ciputra’s Library (UC Library) has its own website outside the main university website, but the initial page does not reflect much on the main function of the library which provides collections that are available and accessible to users. To revive the function of the UC Library site to be useful and empowered for the UC academic community, it is necessary to revitalize it. The level of usability is very influential for the sustainability of a system, and in this study it can certainly be useful for initial data on the revitalization process. One method to measure usability that is often used is the System Usability Scale (SUS). SUS was developed by John Brooke since 1986. SUS is a usability scale that is reliable, popular, effective, and inexpensive. Users of the UC Library site were given 10 questions and answered them using a Likert scale. The results of the calculation of 46 respondents obtained the SUS score obtained is 57.12. This value falls into category F, and this results in a low usability level of the UC Library site and it is very necessary to revitalize it.
Analisa dan Perbandingan Performa Tools Forensik Digital pada Smartphone Android menggunakan Instant Messaging Whatsapp
Authors: Plianda Ilhami Algi , Indrayani Rini
Published: May 2022

Technology services are currently developing rapidly, one of the services that rapidly increased is the development of Instant messaging (IM) technology which is increasingly sophisticated and cannot be separated from people's lives. However, the use of this technology is not always about activities that have a good impact but are also vulnerable to being used as a medium to do harmful things. One of the things that have a detrimental impact that often occurs is cybercrime by utilizing Instant messaging (IM) applications. One of the IM platforms that is often used as a media for cybercrime is WhatsApp. The message deletion feature can be one of the feature that uses criminals to hide evidence of a crime. Therefore, a digital forensic protocol is needed that can help the authorities to uncover evidence of crimes that have been tried to eliminate by criminals. Therefore, this study raises the issue of research utilizing the Whatsapp platform using two tools, namely MOBILedit and Oxygen Forensic. The final result of this research is a method and tool recommendation that can be the best alternative for digital forensics needs.
Penerapan Metode Hybrid Case Base Pada Sistem Pakar Diagnosa Penyakit Obesitas
Authors: Erwis Fauzi , Suherdi Devri , Pranata Ardianto , Nasyuha Asyahri Hadi
Published: May 2022

Obesity is a disease that is caused by the condition of a person's body that has a lot of fat in his body and is overweight or very fat. This condition is usually caused by the intake of calories into the human body that exceeds the capacity required by the body, where this condition causes a buildup of calories that turn into saturated fat. These conditions cause various chronic diseases such as diabetes, hypertension and coronary heart disease. Therefore, in order to avoid disease conditions caused by obesity, treatment and knowledge are needed so that it is not too late to take action so that the disease does not become severe. One of them uses an expert system, so that people can check for diseases without having to see a doctor. The method used Hybrid Case Base is used to make the best decision from a number of symptoms or alternatives from the diagnosed disease. The aim is to make it easier for the public to find out the diseases they suffer from obesity and be able to check them early. Where this expert system applies the Hybrid Case Base method which has the final result of this research producing an accurate diagnosis with a sample of symptom data used and getting a similarity measurement percentage of 77% with a diagnosis of the possibility of having Type 2 Diabetes.
Diagnosa Penyakit Tulang Belakang Menggunakan Metode Forward Chaining dan Certainty Factor
Authors: Jayanti Riza Dwi , Rahman Ben , Fitri Iskandar
Published: May 2022

In the field of medicine, especially orthopedics, there are several types of spinal diseases including scoliosis, lordosis, kyphosis, and spondylosis. Therefore, an expert system is needed to diagnose spinal diseases. Based on this problem, we performed an exponential comparison of the two hybrid methods. With the final value of the combined forward chaining & naive bayes method of 8.89, and 9.40 the highest final value of the combined forward chaining method and certainty factor. So that in this research, forward chaining and certainty factor methods are used which are designed based on a website, using Sublime Text 3 programming tools and PHP and MySQL as databases. From the results of application testing and manual calculations with 30 sample data, it was concluded that 7 users or about 23% entered the level of confidence in the possibility of developing spinal disease and 23 users or 77% of the total testing stated at the level of confidence in the probability of developing spinal disease with a value of the highest confidence of 88.5% in spondylosis disease.
Implementasi Algoritma Base64 Sebagai Tingkat Keamanan Data Pada Website Sistem Informasi Pencatat Barang
Authors: Lovian Tio , Fitri Iskandar
Published: May 2022

The slowness of a job can be affected by many things, mostly due to the large number of files for a single activity. The introduction of a computerized goods recording system is intended to assist users in carrying out their work and facilitate users in finding information on incoming and outgoing goods data. The application made has additional features from previous research, namely exporting incoming and outgoing goods data in the form of 3D graphics and there is a live chat that functions for interaction between application users. For data security, the transaction id stored in the database uses base64 encryption, aiming to secure data from irresponsible parties. In the encryption process, it has been tested using 300 data and has a file size of 1MiB (Mebibyte) by making the data safe and cannot be cracked by other parties. In testing the attack on encrypted data in this application, 20 methods of attack were proven to be unhackable, unless using the encode that was made in this application. The data security process used is to encrypt the transaction id of incoming goods and outgoing goods stored in the database and the description results are found on the website page
Analisis UI/UX Untuk Perancangan Website Apotek dengan Metode Human Centered Design dan System Usability Scale
Authors: Damayanti Cintya , Triayudi Agung , Sholihati Ira Diana
Published: May 2022

Website based of technology information system widely using by organizations and companies. One of it’s application are inventory on Apotek rakyat anda. Apotek rakyat anda are pharmacy shop who sells medicines. Following the technology growth on the use of database electronic system digital based knowing as application or information system. This system has been made for the user based on user interface and user experience. The used of user interface for fulfing user needs and user experience for success parameter on the system that has been build. Methods for designing are Human-Centered Design (HCD) approach, for knowing system utility are System Usability Scale (SUS) method. Hoping this designing information system will help on inventory on Apotek Rakyat Anda.
Penerapan Metode Forward Chaining dan Algoritma Certainty Factor Untuk Mendiagnosa Penyakit Pada Kucing Berbasis Web
Authors: Mahreza Irham Rafi , Fauziah Fauziah , Natahsia Novi Dian
Published: May 2022

Cats are animals that are very popular today among people, from young people to old people who like cats. We as cat owners must also be responsible for sharing all the needs of the cats we raise. However, many activities and other matters from cat owners also sometimes do not remember to pay attention to the health condition of the cat, so that the cat is susceptible to various diseases. Of the various diseases, generally there are indications that will appear. However, to be able to identify correctly and correctly the type of disease that occurs, of course you need an expert or a veterinarian. On the other hand, the number of veterinarians available is very limited and the number of veterinary clinics is still low. Therefore, it is necessary to build a system that can help diagnose diseases in cats. The purpose of this study is to diagnose early disease in cats to make it easier for cat owners to find out what diseases their pets suffer from with this web-based expert system application. This diagnosis is designed usingmethods Forward Chaining and Certainty Factor. The method Forward Chaining is starting from a set of data that leads to a conclusion. While thealgorithm is Certainty Factor used to calculate the level of confidence from the conclusions of the method Forward Chaining, using PHP programming tools, and Sublime Text 3 and MySQL as databases. From the day of testing the application, there were 250 data with the conclusion that 27 cats (10.8%) were diagnosad with Toxoplasmosis. 79 cats (31.6%) were diagnosad with Cat Flu. 68 cats (27.2%) were diagnosad with Feline Panleukopenia, 46 cats (18.4%) were diagnosad with Cryptococcus and 30 cats (12%) were diagnosad with Feline Infectious Peritonitis.
Use of Quarry Dust in the Binding Mortar and Its Effect on Mechanical Characteristics of Brick Masonry
Authors:   Department of Civil Engineering, Faculty of Engineering, University of Jaffna, Sir. Pon, Ramanathan Rd, Jaffna, SRI LANKA, Sundaralingam Kosalya , Peiris Arvinthan ,   Department of Civil Engineering, Faculty of Engineering, University of Jaffna, Sir. Pon, Ramanathan Rd, Jaffna, SRI LANKA, Sathiparan Navaratnarajah ,   Department of Civil Engineering, Faculty of Engineering, University of Jaffna, Sir. Pon, Ramanathan Rd, Jaffna, SRI LANKA
Published: May 2022

The strength characteristics of masonry is greatly affected by the brick strength, mortar strength and bond between brick-mortar interface. Especially, binding mortar significantly affects the shear and flexural strength of the masonry. In conventional masonry construction, river sand or natural sand is mixed with cement and used as binding mortar. However, due scarcity of good quality river sand, the extensive focus is on finding alternative materials for river sand for construction purposes. Quarry dust is one of the best alternatives for river sand, which can be used as fine aggregates in binding mortar. This study investigates the strength characteristic of the masonry made of quarry dust incorporated binding mortar instead of conventional cement-sand mortar. The binding mortar with four different river sand replacement levels of 0%, 33.3%, 66.7% and 100% quarry dust, was used for construction masonry. Compression test, direct shear test and cross-couplet test were conducted to evaluate the strength characteristic. The test results revealed that compressive, shear and bond strength of masonry was improved with increased quarry dust content in the binding mortar.
Recycled Aggregates Production Through Economic Perspectives
Authors:   Kasetsart University, 50 Phaholyothin Road, Ladyao, Chatuchack, 10900, THAILAND, Nitichote Kirati , Yodsudjai Wanchai ,   Kasetsart University, 50 Phaholyothin Road, Ladyao, Chatuchack, 10900, THAILAND
Published: May 2022

Construction and Demolition Waste (CDW), especially laboratory waste and concrete debris from construction, manufacturing errors, and demolition of existing structures, is posing challenges to the urbanization. As nowadays the aforementioned waste is disposed in landfills, this diminishes the development opportunity of cities. Although there are standards and research pointing out the application of recycled concrete aggregates in proper proportion, the theory has never been put into practice. This research aims to present feasibility of applying recycled aggregates through Bangkok’s economic perspectives. It is found that the investment in recycled aggregate plants takes nine years of payback period. Besides, the sensitivity analysis suggests that implementing certain strategies, such as imposing a landfill tax increase and applying dumping fee will significantly shorten the payback period of recycling business.
RANCANG BANGUN SISTEM INFORMASI MANAJEMEN PERJALANAN DINAS DENGAN METODE PIECES (STUDI KASUS PADA PT DUA KELINCI)
Authors: Lestari Krisna Puji , Habib Ahmad
Published: May 2022

PT Dua Kelinci is one of the leading companies engaged in Indonesia's food industry or snack food provider. PT Dua Kelinci currently has its head office located in Pati, Jakarta, and Surabaya and has distributors spread all over Indonesia, and is starting to enter the international market. To meet the needs of management and better performance of employees cannot be separated from business trips. The process of completing official travel at this company, which is still using the manual method by using the form available for official travel, then the file is sent to the head office and processed by the finance department to replace the cost of authorized travel by the form. Therefore, there is a need for an official travel information system that can record in real-time the planning and completion of official travel costs at PT Dua Kelinci. The proposed output is designing a business travel information system using the PIECES method (Case study at PT Dua Kelinci). It is hoped that this application can assist the planning process and completion of business trips at PT Dua Kelinci by applying the PIECES (Performance, Information, Economy, Control, Efficiency, Service) method.Keywords: Information System, Official Travel, Official Form, Report, PIECES Method ABSTRAKPT Dua Kelinci merupakan salah satu perusahaan yang bergerak dibidang food industry atau penyedia makanan ringan yang terkemuka di Indonesia. PT Dua Kelinci untuk saat ini memiliki kantor pusat yang berada di daerah Pati, Jakarta, dan Surabaya dan memiliki distributor yang tersebar di seluruh titik Indonesia dan mulai memasuki pasar internasional. Untuk memenuhi kebutuhan manajemen dan kinerja yang lebih baik karyawan tidak lepas dengan adanya perjalanan dinas. Proses penyelesaian perjalanan dinas pada perusahaan ini yang masih menggunakan metode secara manual dengan menggunakan form yang tersedia untuk perjalanan dinas lalu berkas di kirim ke kantor pusat dan diproses oleh bagian keuangan untuk mengganti biaya perjalanan dinas sesuai dengan form tersebut. Oleh karena itu, di perlunya sistem informasi perjalanan dinas yang dapat mencatat secara real time perencanaan dan penyelesaian biaya perjalanan dinas di PT Dua Kelinci. Output yang diusulkan adalah rancang bangun sistem informasi manajemen perjalanan dinas dengan metode PIECES (Studi kasus pada PT Dua Kelinci). Harapan aplikasi ini dapat membantu proses perencanaan dan penyelesaian perjalanan dinas di PT Dua Kelinci dengan menerapkan metode PIECES (Performance, Information, Economy, Control, Efficiency. Service).Kata Kunci: Sistem Informasi, Perjalanan Dinas, Form Dinas, Laporan, Metode PIECES
SISTEM MANAJEMEN BANDWIDTH DENGAN HIERARCHICAL TOKEN BUCKET PADA LINUX SERVER CENTOS (STUDI KASUS: JARINGAN KANTOR UNIVERSITAS MADURA)
Authors: Prasetya Andhis Yoga , Ubaidi Ubaidi
Published: May 2022

The internet is one of the media needed in the Madura University Office, whether to find information or download and upload research files. The Peer Connection Queue (HTB) method used for bandwidth distribution in the Madura University Office LAN network is weak. It is not optimal in using the network when traffic is heavy, and there is a bandwidth leak, and the divided bandwidth is not following the rules. Hierarchical Token Bucket (HTB) is a method that can maximize bandwidth and manage bandwidth on the network hierarchically with a priority system based on the class on the network. This study aims to compare the previous method, namely PCQ, with HTB, which is implemented on a Linux CentOS server. The method will be compared using the calculation of QoS (Quality Of Service), which is a method of calculating network quality, in this study will calculate delay, jitter, throughput on the PCQ and HTB methods. In this study, the authors use the open-source HTB-Tools application to implement the HTB method, which is expected to maximize bandwidth usage and comfort users in the Madura University environment.Keywords: Bandwidth, Hierarchical Token Bucket, CentOS, HTB-Tools ABSTRAKInternet merupakan salah satu media yang dibutuhkan di lingkungan Kantor Universitas Madura, baik itu untuk mencari informasi, ataupun mengunduh dan mengupload berkas  penelitian. Metode Peer Connection Queue (HTB)  yang digunakan untuk pembagian bandwidth di jaringan LAN Kantor Universitas Madura memiliki kelemahan sehingga tidak optimal dalam penggunaan jaringan saat traffic sedang padat dan terjadi kebocoran bandwidth sehingga bandwidth yang terbagi tidak sesuai dengan aturan. Hierarchical Token Bucket (HTB) merupakan metode yang mampu  memaksimalkan bandwidth dan mengatur bandwidth pada jaringan secara hierarki  dengan sistem prioritas berdasarkan kelas yang berada pada jaringan. Tujuan dari penelitian membandingkan metode sebelumnya yaitu PCQ dengan HTB yang diimplementasikan di server Linux CentOS. Metode tersebut akan dibandingkan menggunakan perhitungan QoS (Quality Of Service) yang merupakan metode perhitungan kualitas jaringan, pada penelitian ini akan menghitung delay, jitter, througrput pada metode PCQ dan HTB. Pada Penelitian ini penulis menggunakan aplikasi open source HTB-Tools untuk menerapkan metode HTB yang diharapkan dapat memaksimalkan penggunaan bandwidth serta memberi kenyamanan bagi pengguna di lingkungan Universitas Madura.Kata Kunci: Bandwidth, Hierarchical Token Bucket, CentOS, HTB-Tools