bluuebunny/crossref_metadata_2025 huggingface dataset:
Penerapan Data Mining Untuk Menentukan Segmentasi Pelanggan Dengan Menggunakan Algoritma K-Means dan Model RFM Pada E-Commerce
Authors: Sharyanto Sharyanto , Lestari Dwi
Published: January 2023

The growth of technology has a big impact on life, one of which is the use of the internet. In Indonesia, internet usage has increased every year, this has an impact on changes in the buying and selling process carried out by the community. The basic reason caused by these changes is a wider market reach. So it can be said that the presence of the online market is a positive impact caused by the development of these technologies. E-Commerce is a process of buying and selling transactions and also leasing services that are carried out by utilizing internet technology that is already available on certain media. On this basis, business actors in E-Commerce should have their own characteristics that are easily recognized by consumers. It is necessary for business people to segment potential customers. However, the problem of customer segmentation has become a problem in itself for business actors, this is due to the lack of knowledge of how to segment the customers. Data mining is a process that can be done to solve problems. With data mining the process is carried out by processing the dataset and generating new information. In data mining itself, there are several completion processes, namely the K-Means algorithm for the clustering process and the RFM model for segmentation analysis. The results obtained are that there are 4 customer segments. This can be seen from the testing process carried out from K = 2 to K = 5, in the K = 4 test the most optimal BDI value is 0.6788
Analisis Penerapan Normalisasi Data Dengan Menggunakan Z-Score Pada Kinerja Algoritma K-NN
Authors: Whendasmoro Raditya Galih , Joseph Joseph
Published: January 2023

The large volume of information in the data causes a lot of data to be stored in the dataset. The dataset consists of various attributes and attribute values which contain information stored in the dataset. Data mining is a process that can be used to search for information on datasets. However, the problems encountered in the dataset are often found to have abnormal data such as the range of values that are too far and different between dataset attributes. The value range that is too far causes the results of the information obtained to be not optimal, in data mining itself the process or results are good based on the quality of the data stored in the dataset. Data normalization is a preprocessing stage, where data normalization is scaled back to the range of values in the attribute. Z-Score Normalization is a statistical technique that can be used in data mining to preprocess data by performing data transformations. Z-Score Normalization can be combined with data mining classification techniques, where the role of Z-Score Normalization is to normalize data which is useful for improving the performance of data mining classification algorithms, especially the K-NN algorithm in this study. The results of the study show that Z-Score Normalization is useful for improving performance than the K-NN algorithm. This can be seen from the increase in the accuracy value obtained from the K-NN process before normalizing the dataset and after normalizing the dataset. The accuracy values respectively before normalizing the dataset were 95.13%, 95.83%, 96.11%, 95.77% and 95.81% after normalizing the dataset there was an increase in the accuracy value, namely 97.87%, 98, 57%, 98.77%, 97.23% and 98.11%.
Analisis Peramalan Permintaan Golang-Galing dalam Memaksimalkan Manajemen Rantai Pasok Menggunakan Metode Weighted Moving Average
Authors: Nurdina Ajeng , Aryani Dyah , Venita Ella , Astiti Sarah
Published: January 2023

Forecasting the demand for golang-galing products in the Small and Medium Enterprises (SMEs) industry “Pak Liman” in Kaliori Village, Banyumas District, Banyumas Regency is planning support in production control so as to maximize supply chain management of golang-galing products. Forecasting market demand is very necessary in order to predict market opportunities for future demand for a product. Demand forecasting aims to prevent the risk of sales prediction errors that cause waste such as sales predictions that are too large which can lead to swelling in production costs and vice versa if sales predictions are too small it will result in out of stock out, so consumers need to wait a long time for sales. get the desired product. Based on these problems, an analysis of demand forecasting for golang-galing products is carried out which aims to reduce waste and maximize value for all components in the supply chain. This study uses time series analysis with the moving average method to forecast the demand for golang-galing products for the next five months. The results of the study obtained forecasting in April, May, June, July, August, September, October, November, December 2022 in sequence, namely 3,254.6; 3,254; 3,256.6; 3,254, 6; 3,254.2; 3,253.9; 2,987.3; 3,162,9; 3,156.4. From the calculation of the Mean Absolute Error (MAE) and Mean Square Error (MSE) that has been carried out, it is obtained that the calculation for MAE is 3.44 and MSE is 20.144.
Peramalan Tingkat Pencemaran Udara Akibat Kendaraan Bermotor Dengan Metode Time Series Cheng
Authors: Sinaga Lian Prasetyo , Fathoni M Yoka , Prabowo Dedy Agung
Published: January 2023

Air pollution can be defined as the presence of a substance, energy, from different components in environmental air activities through various community activities, including in the field of transportation because 70% of air pollution comes from vehicles. In line with various human needs to move places and activities, transportation activities will also increase following the existing growth, this progress can be seen by the increasing number of existing vehicles and continues to grow from year to year, including in the Special Region of Yogyakarta (DIY). The increasing number of vehicles can lead to congestion, which has a negative impact in the form of air pollution. One of the most common pollutants produced by motorized vehicles is carbon monoxide (CO), carbon monoxide produced by motorized vehicles produces a negative nuisance to public health. Carbon monoxide is a toxic gas, which can interfere with hemoglobin (Hb) to deliver fresh oxygen to the body, when oxygen supplies are reduced it will cause shortness of breath and even death as the worst consequence. Based on the problems described, it becomes a reference in predicting the amount of carbon monoxide parameters in the air using Fuzzy Time Series Cheng which will be displayed in a web-based application. The study was conducted using 30 data obtained from the Environmental Service of the city of Yogyakarta, with the results of the accuracy test using the Mean Absolute Percentage Error (MAPE) getting an inaccuracy value of 6.10% which is included in the very good forecasting category
Optimalisasi Seleksi Fitur Untuk Deteksi Serangan Pada IoT Menggunakan Classifier Subset Evaluator
Authors: Kurniabudi Kurniabudi , Harris Abdul , Rosanda Elvira
Published: January 2023

The Internet of Things (IoT) enables a wide variety of intelligent devices to connect and interact. The rapid development of technology and protocols as well as the growth of networks, makes IoT a security risk. The increasing number of interconnected intelligent electronic equipment has an impact on the complexity of the network and the increase in the volume of network traffic resulting in high-dimensional data. The feature selection technique has been proven to reduce very large (high-dimensional) network traffic data in the Intrusion Detection System (IDS). The feature selection technique is also faced with the problem of imbalanced data. In real network traffic data tends to be imbalanced, where attack traffic is less than normal data. IoT as a complex network produces a large number of features. However, not all features are relevant for identifying normal traffic and attacks. The right feature selection technique is needed to produce optimal features. In this study, a wrapper-based feature selection technique is proposed using a subset evaluator classifier with the J48 algorithm. The dataset used is CICIDS-2017 MachineLearningCSV version. Of the 78 features analyzed using the proposed method, 15 features were generated as optimal features. Optimal features are used for anomaly detection using the Random Forest algorithm. The experimental results show that attack detection with optimal features produces an average accuracy of 99.87% on training and testing data.
Implementasi Metode Latent Semantic Analysis Pada Peringkasan Artikel Bahasa Indonesia Menggunakan Pendekatan Steinberger Jezek
Authors: Surianto Dewi Fatmarani , Kadir Rezki Angriani Pratiwi , Syafaat Fizar , Fakhri M Miftach , Rifqie Dary Mochamad
Published: January 2023

Currently, various types of news media that are developing have their own challenges, one of them is the increasing number of digital or online media. The increasing number of digital media in the form of online news sites not only has a positive impact on society, but also poses challenges. The more the number of online news portals increases, the more information is spread out. With a variety of topics and diverse information, it creates problems for readers to make time efficient in reading in full to obtain the desired information. This makes the phenomenon of text summarization very important. The purpose of this study is to analyze the Latent Semantic Analysis method in the text summarization process. The dataset used comes from previous research which includes 100 Indonesian news articles from various online news portals. In the experiment process, the Steinberger and Jezek techniques are used for the sentence selection process. The summary process is carried out using three types of compression rates, namely 10%, 30% and 50%. The best results obtained in this study are the precision value of 20% at a 10% compression rate, a recall value of 42% at a 50% compression rate, and an f-measure value of 22% at a 50% compression rate.
Alat Monitoring Kecelakaan Dengan Intelligent Transport System Berbasis Internet of Things
Authors: Danda Junio Andika , Handayani Ade Silvia , Soim Sopian , Husni Nyayu Latifah , Novianti Leni
Published: January 2023

Accidents are one of the problems that are always faced in big cities. This is evident from the indications that traffic accident numbers are always increasing. Delays in handling accidents often occur due to delays in information received by the police and nearby hospitals. Therefore, a remote monitoring system is needed to control vehicles that are operating in real time using monitoring tools that are able to detect traffic accidents and emergency events on the way In this study, the Internet of Things-based Intelligent Transport System was applied using the Support Vector Machine method whose design was carried out using accelerometer sensors, vibrating sensors and sound sensors with the addition of NEO 6M GPS as a coordinate point information provider and a PI NoIR Camera to capture images of surrounding conditions when an accident occurred. The way this tool works is that when there is an accident in a vehicle (car) this tool has been installed with various sensors and components that are able to analyze the surrounding situation if this car has an accident, it will send data that will be displayed in the Android application in the form of time data, coordinates, vibration, sound and images.
Analisis Sentimen Ulasan Pengguna Aplikasi Myim3 Pada Situs Google Play Menggunakan Support Vector Machine
Authors: Aditiya Piqih , Enri Ultach , Maulana Iqbal
Published: January 2023

Technological developments are increasingly rapid, this makes it easier to communicate information and shopping transactions, one of the innovations that are being adopted is digital services, such as self-service. One of the self-services is myim3 which is a product of PT Indosat Ooredoo Hutchison as an internet network service provider company, with the increasing number of users of the application, many opinions or public sentiments are shared in the comments or reviews column, therefore it is necessary to analyze this MyIM3 application review to find out public opinion about the application. The review data is obtained from the Google Play website which is retrieved using the scraping method with the help of 3rd party libraries in python. The amount of data obtained in this study was 3484 data. Experts assist in data labeling to determine positive and negative. In the preprocessing stage, the data is cleaned to reduce the less influential attributes. In the next stage, perform the transformation process with TF-IDF. The classification process is divided into several scenarios with the algorithm used as a support vector machine with 2 kernels, linear and RBF. The best results are in the scenario (70:30) for the linear kernel with 87% accuracy and the scenario (90:10) with 87% accuracy in the RBF kernel. The classification process produces the most frequently occurring words in each sentiment class which is visualized with a word cloud. The word "good" is the most dominant in the positive review data, while the word "network" is the most dominant in the harmful review data of the MyIM3 application
Analisis User Satisfaction Terhadap Sistem Informasi Website PKL Fakultas Informatika Menggunakan Metode EUCS
Authors: Indri Hapsari Dyah Ayu , Darmansah Darmansah , Utomo Hari Widi
Published: January 2023

Website Information System Praktek Kerja Lapangan (PKL) Faculty of Informatics Telkom Institute of Technology Purwokerto is a website designed for students which has a function for the purposes of data collection in the implementation of PKl. But from the entire menu provided, there are some menus that can not be used optimally so it is questionable how the level of satisfaction from the website. The purpose of this study is to determine the level of user satisfaction and identify what factors are the constraints of users in using the website so as to know what suggestions are appropriate to be developed. This study uses the approach of EUCS (End User Computing Satisfaction) method which has 5 attributes, namely content, accuracy, format, ease of use, and timeliness. The sample measurement conducted in this study using slovin formula with respondents of 86 students who have used the website PKL Faculty of Informatics. Respondents answers were measured using a likert scale with data that first measured the validity test and reliability test using SPSS software. Then the results obtained are the average value of the overall user was satisfied with obtaining an average satisfaction score of 3.5. Attribute content obtain an average value of 3.6 that is satisfied category, attribute accuracy obtain an average value of 4.2 that is very satisfied, attribute format obtain a number 3.4 that is satisfied, attribute ease of use obtain a number 3.4 that is satisfied, attribute timeliness obtain a number 3.4 that is satisfied
Penerapan Metode Linear Regression dalam Mengestimasi Jumlah Penduduk
Authors: Indriani Iin , Siregar Dodi , Windarto Agus Perdana
Published: January 2023

A population is a group of people who live in an area to settle with existing needs. Population growth is growing rapidly to date, so action is needed to anticipate the rate of population growth. This study aims to estimate the population of the province of North Sumatra by using computer science techniques. The source of research data comes from the Central Statistics Agency (abbreviated BPS) Indonesia. The data used is the 2010-2020 dataset which consists of the total population consisting of men and women in Indonesia. The data is processed using Rapidminer software. This algorithm was chosen linear regression because it is able to make an estimate by utilizing old data. So that it can produce a pattern of relationships between the attributes that affect the rate of population growth. The research results obtained can be used as recommendations or input to the subsection of population data collection at the BPS North Sumatra in making it easier to predict or estimate data so as to minimize the rate of population, especially in Indonesia.
Sistem Pengendalian Salinitas Air Pada Budidaya Cacing Nipah Namalycastis rhodochorde Berbasis Internet of Things (IoT)
Authors: Rizkilillah Muhammad Soneta , Ruslianto Ikhwan , Junardi Junardi
Published: January 2023

Nypa palm worm (Namalycastis rhodochorde) is a new species of Polychaeta class found in Sei Kakap area. Apart from being obtained from the river coast, cultivation is one way to get worms, but the cultivation of nypa palm worm is still within the scope of the lab and is done manually. Manual cultivation has a problems, especially in controlling water salinity which affects the survival or survival rate of worm. Therefore, this requires an Internet of Things in installation of worm cultivation. This system aims to control the salinity of the water and then monitor the salinity and temperature of the water as well as the temperature and humidity of the air. Another goal is to control water salinity which affects the survival rate of worms. The results of monitoring and controlling the water salinity will be displayed on a website-based application. Arduino Uno is used as hardware that controls the system, NodeMCU ESP32 is used as a tool to connect to the server, water salinity sensor is used to measure water salinity, DS18B20 sensor is used to measure water temperature, as well as DHT11 sensor is used to measure air temperature and humidity. The results of testing the reading system of each sensor obtained an error value 0,017% and 0,032% water salinity sensors, 0,015% DS18B20 sensor, as well as 0.011% and 0.003% DHT11 sensor. Application of the system can reduce water salinity by 1-3 ppt and resulted in the survival rate of worms by 41%.
Perancangan Sistem Informasi Desa Berbasis Web Studi Kasus Desa Netemnanu
Authors: Kameo Elroy Pedro , Tanaamah Andeka Rocky
Published: January 2023

Desa Netemnanu is one of the villages directly adjacent to the Democratic Republic of Timor-Leste. In administrative and information services to the public, they still use manual methods so that services to the community are not efficient. Referring to this problem, this research was conducted to design an information system that can be used by the government and the community of Netemnanu Village to access information and take care of the administration. The design of this information system uses the waterfall method where all requirements must be clearly defined and completed in stages. The technology used to create the user interface is HTML, CSS, and JavaScript (ReactJs) and the server part uses NodeJs and MySQL as the database. The results of this study are expected to make it easier for the village government to provide administrative and information services efficiently and quickly to the people of Netemnanu Village and for the people of Netemnanu Village to access information and manage administration easily
Perbandingan Metode Pieces Dan System Usability Scale Untuk Menganalisa Kepuasan Pengguna Pada Sistem Penyewaan Mobil Berbasis Android
Authors: Aldisa Rima Tamara , Samudra Erwin , Sahara Rossa
Published: January 2023

The research aims to build a car rental information system aimed at consumers who want to rent a car. With this system, car rental is more efficient and makes it easier to find out how satisfied and comfortable consumers are. This system is made using the Pieces method, with measurements of 6 aspects or variables, namely from the aspects of Performance, Information, Economics, Control, Effeciency, Service. The results of the Pieces analysis show the measurement of the level of user satisfaction. The System Usability Scale method or abbreviated as SUS here is an estimate to facilitate measurement and SUS has several appropriate questions. This system aims for consumers who are looking for an android-based car rental to analyze user satisfaction with the discount method which produces a value of 3,845 which is average and satisfactory, with a comparison of the SUS method getting an average value of 72 it can be said to be the same as the discount method, which is satisfactory. So it can be said that the users of the system here, namely consumers of car rentals, are satisfied with the system that has been designed based on Android
Pengenalan Huruf Hijaiyah Berbasis Augmented Reality Pada Taman Pendidikan Al-Qur’an
Authors: Hillary Audrey , Gustalika Muhamad Azrino , Rafika Nur Yohani Setiya
Published: January 2023

The introduction of hijaiyah letters is only done manually using the Iqra 'book. The introduction is done by reading the letters and reciting them, so that the introduction process is still less interesting, especially for children who are just starting to learn the Qur'an and know the hijaiyah letters. An interactive learning is needed in the form of audio-visual so that children tend to be more responsive, one of the supporting factors for interactive learning is the existence of media or learning facilities that use mobile-learning (M-learning) technology. This study aims to introduce hijaiyah letters to children by using an application based on Augmented Reality technology, which can be operated using an Android smartphone. Data collection methods used in this study were observations and interviews conducted at the Al-Barokah Baturraden TPA. This research refers to the multimedia development method, namely the multimedia development life cycle (MDLC) as a system model in building applications. The output of this application is that the application will display a video on the smartphone screen containing the hijaiyah letter learning material. On the results of blackbox testing, namely functional testing, obtaining a percentage of 100%, which means the features in the application function properly in accordance with the design objectives. In usability testing using the usability scale system calculation, the score is 81.71 which means it gets an acceptable (high) category for acceptability or acceptance level, grade B for grade scale or application level and excellent rating for adjective rating or application rating which indicates that the application is acceptable. by the user. By using Augmented Reality-based applications, students can learn hijaiyah letters interactively and interestingly.
Analisis Manajemen Risiko Teknologi Informasi dengan ISO 31000:2018 pada PT Bayu Buana Tbk
Authors: Natalie Devy Putri , Manuputty Augie David
Published: January 2023

At this time, almost all organizations/companies use IT to support their business processes. The presence of IT makes work easier for organizations/companies. Especially with the Covid-19 pandemic which has had a huge impact on several business sectors. One of them is in the travel services business sector. In a situation swayed by the pandemic, PT Bayu Buana Tbk, which is one of the companies engaged in the travel services business, chose to change its business strategy by using IT to survive amidst the pandemic. This decision is very appropriate and in line with the mission and vision of the company. However, the advantages provided by IT, have disadvantages in the form of risks that can occur. This risk is unavoidable. However, the impact can be minimized with IT risk management. Therefore, researchers are interested in conducting IT risk management at PT Bayu Buana Tbk. To assist researchers in conducting (qualitative) analysis, researchers use the ISO 31000:2018 framework. From the results of the study, there are 21 possible risks which are divided into 3 risk levels, namely 8 high-level risks, 10 medium-level risks, and 3 low-level risks. It was also found answers to whether or not the strategy implemented by the company and the good/bad implementation of IT at branch offices were other objectives of the research. So that researchers can provide suggestions to help the company achieve its vision and mission
Penerapan Algoritma Support Vector Machine Pada Analisis Sentimen Hashtag Twitter
Authors: Umar Rusydi , Sunardi Sunardi , Ardhiansyah Muhammad Nur
Published: January 2023

The development of the creative industry in Indonesia is marked by the emergence of content creators such as YouTubers and celebrities. With the emergence of content creators, people in these professions must be more creative and come up with new things in accordance with community trends in accordance with applicable laws in Indonesia. Twitter is one of the social media that can be used to share online and provide information in accordance with the prevailing trends in society. Hashtags or hashtags on Twitter are often used by users to add comments so that when the hashtag is used a lot it will become a trending topic. By analyzing sentiment on trending topics, positive and negative tendencies will be obtained that can help the content creator profession to create content. This study uses the Support Vector Machine (SVM) method to conduct a sentiment analysis process about the twitter hashtag. The data used is hashtag data on twitter. The data that has been obtained is then carried out by text preprocessing, then weighting, and finally sentiment analysis using SVM. This study uses tweet data taken on October 29, 2022 as many as 21 data, namely “BeliPulsaDiGrab” which has two sentiment classes, namely positive sentiment as much as 99% and negative 1% data
Metode Dempster Shafer pada Sistem Pakar Penentuan Penyakit Bayi
Authors: Herman Herman , Sunardi Sunardi , Muslimah Virasanty
Published: January 2023

The baby’s immune system is still weak so it needs special attention. Parents are advised to check their baby to the health service regularly. There are along queues due to limited hours of service or doctor’s practice in serving patients. Parents need expert systems to facilitate detection and early prevention. Systems that try to adapt human knowledge to computers to solve problems in the way that experts do are called expert systems. The dempster shafer method will be used in this study as an expert system for infant disease. The way the dempster shafer works is by defining each sysptom with a density value. This study uses 23 type pf symptoms with 3 types of disease. Dengue fever can be identified based on 11 symptoms, 13 sysmptoms of malaria, and 14 symptoms of diarrhea. The results of  calculation on a case study found that the Malaria (TOD02) was the strongest with a value of 0,83 or 83% obtained from the symptoms of the body shivering but sweating (SOD02), vomiting (SOD03), blood in the stool (SOD06), fever appears and disappears simultaneously (SOD16), and red eyes (SOD17) so it is believed that the baby’s disease is Malaria
Analisis Kualitas Jaringan Internet Kampus Universitas Islam Negeri Sultan Syarif Kasim Riau Menerapkan Metode Quality of Service(QoS)
Authors: Zikri Haikal , Iskandar Iwan , Pizaini Pizaini
Published: January 2023

Universitas Islam Negeri Sultan Syarif Kasim Riau (UIN SUSKA RIAU) memiliki akses jaringan internet di beberapa Gedung yang telah terhubung dengan server. Fasilitas internet yang disediakan dapat diakses seluruh civitas akademik kampus, berupa Kabel LAN dan berbasis wireless. Namun pada ISP yang berbeda dari sebelumnya, dalam penggunaan jaringan internet kampus terkadang mahasiswa mengeluhkan tentang fasilitas internet yang ada, mulai dari internet yang lambat, tidak dapat tersambung ke internet, jaringan putus-putus, dan belum mencakup ke seluruh Gedung yang ada di lingkungan kampus Universitas Islam Negeri Sultan Syarif Kasim Riau. Untuk mengetahui seberapa besarnya kualitas layanan internet kampus, dilakukan penelitian QoS (Quality of Service) dengan parameter yang digunakan yaitu: troughput, delay, jitter, dan packetloss. Pengukuran parameter QoS menggunakan aplikasi wireshark  dilakukan pada setiap Gedung Fakultas yang telah terhubung dengan server kampus dengan rentang waktu pelayanan jam sibuk dan jam sepi setiap harinya pada jam kerja. Berdasarkan hasil penelitian yang telah dilakukan menunjukkan bahwa kualitas jaringan internet kampus Universitas Islam Negeri Sultan Syarif Kasim Riau secara keseluruhan dengan kategori Bagus menurut standar ETSI.
Penilaian Mutu Pendidikan Berdasarkan Ketersediaan Sarana Prasarana di Masa Pandemi Covid-19 Menggunakan Metode AHP
Authors: Likumahua Gilbert Yesaya , Prasetyo Sri Yulianto Joko
Published: January 2023

This study aims to know the infrastructures used for the teaching-learning process and the effort made to improve education quality during the pandemic of Covid-19. The method used by the researcher was descriptive qualitative. The subjects of this study were four senior high schools in Salatiga. AHP method approach was used in conducting this study. Meanwhile, Questionnaires and interviews were used as instruments for data retrieval. The data collected will be analyzed using literature-based data triangulation techniques. The results showed that some criteria have a high impact on improving the quality of education based on infrastructure tools: bandwidth with 0,397 (39%), lcd with 0,245 (24%), computer lab with 0,242 (24%), the  number of computers 0,064 (6%), and the last was the access point with 0.053 (5%).
Rancangan Sistem Aplikasi Edukasi Augmented Reality Mengenal Daerah Nusantara Indonesia Berbasis Android Menggunakan Unity
Authors: Handayani Dede , Suri Ajeng Permata
Published: January 2023

Along with the times, science is growing and increasingly studied. Science is usually summarized in a book which is often called an encyclopedia. The explanation in the book only contains two-dimensional theory and images. By applying Augmented Reality, making cultural recognition applications will be more interesting. Displays 3D images taken from 2D images so that they appear more vivid images. The application of Augmented Reality also encourages children to get to know culture more through interesting learning. It is hoped that students' proficiency in learning will rise with the help of this program. Based on the test results using Augmented Reality, it can be concluded that in order to get good results the user is asked to place the picture book in a flat place. This application does not succeed in displaying objects if the markerless is uneven
Implementasi Metode Combinative Distance-Based Assessment (CODAS) Untuk Rekomendasi Rekanan Jasa Konsultansi Berbasis Website
Authors: Suriati Neneng , Midyanti Dwi Marisa , Ristian Uray
Published: January 2023

Regional Research, Development and Innovation (PPID) is one of the fields in the Planning, Development, Regional, Research and Development Agency (BAPPEDALITBANG). The PPID sector at the Kubu Raya Regent's Office has a program to select consulting services. However, the implementation of the selection of consulting services is still done manually by giving each participant a score based on predetermined criteria and the files that have been collected. These values are then added up manually and ranked. The basis for assigning value to participants in consulting services needs to be managed so that the assessment is more effective and structured. Storage of administrative files is still in the form of hard files, so it is less effective because it results in several risks, such as file loss and difficulty in searching for files, if needed. This study builds a decision support system using the Combinative Distance-Based Assessment (CODAS) method to recommend consulting service partners. The application of the CODAS method uses 3 criteria, 6 sub-criteria, and 19 sub-criteria. The results of calculations using the CODAS method are sorted from the highest value to the lowest value. From the 30 alternative data used, the first rank is A1 with a value of 4.6217, the second rank is A23 with a value of 4.3527, and the third rank is A27 with a value of 4.2107. Of the 30 alternative data used, the Spearman rank correlation value of 0.9973 is included in the very high positive category
Mengukur Tingkat Kepuasan Pengguna SIGESIT Kabupaten Bima Menggunakan System Usability Scale Dan Pieces Framework
Authors: Ardhana Valian Yoga Pudya
Published: January 2023

SIGESIT is an application owned by the local government of Bima Regency which is managed by market managers throughout Bima Regency to provide market information that is accountable, transparent and participatory. This SIGESIT application was created to overcome market management problems that are not in accordance with the prevailing policy directions. So that with the SIGESIT application, market management, totaling 30 markets in Bima Regency can be monitored in real time to uphold the principles of transparency and accountability. However, since the application was launched, the level of user satisfaction has not been tested, in this case the market operator throughout Bima Regency. Therefore, in this study an evaluation was carried out by measuring the level of satisfaction of SIGESIT users using 2 methods, namely the System Usability Scale and the PIECES Framework. The results obtained using the Pieces Framework method is a value of 4.22 which is taken from the average value of 6 domains. This value is in the very satisfied category. While the results of the SIGESIT user satisfaction level based on the System Usability Scale method are obtained a value of 74.01 where the value for the acceptability range version is Acceptable, while the grade scale results from the level of user acceptance are included in class B. Based on the results of measurements using these 2 methods The results obtained are almost the same, which shows that SIGESIT is accepted by users and is suitable for use
Implementasi RESTful untuk Mengurangi Mean Time to Resolve pada Alert Handling
Authors: Aditya Yadhi , Rachmat Setiadi , Harika Maisevli , Salim Mufqi Uwais Nastiar , Pramono Dewanto Joyo
Published: January 2023

One of the responsibilities of the company's IT infrastructure team is ensuring that IT services or services stay available. One part of analyzing the performance of IT infrastructure is MTTR (Mean Time to Resolve) or the average time necessary to restore a service that is experiencing issues. Warnings or alerts are shown when a service is encountering difficulties. As a member of the IT infrastructure team, the on-call engineer is responsible for managing alarms. At PT Sense Health Indonesia, difficulties manifest in the form of recurrence alerts, or warnings resulting from previously fixed or rectified issues. This warning is repeated with sufficient frequency to enhance the MTTR value. The findings demonstrated that the integration of tools using the RESTful approach streamlined the process of processing alerts. The deployment led to a 78% decrease in the average time required to handle alarms. This study contributes by demonstrating one method for decreasing MTTR for alert handling
Komparasi Metode Simple Addtive Weighting dan Weight Product Menggunakan Sistem Pendukung Keputusan pada Penerimaan BLT
Authors: Hamdan Muhammad Rizky , Triayudi Agung , Iskandar Agus
Published: January 2023

Direct cash assistance is a program of local government efforts to deal with problems that occur in underprivileged families. This program is sought so that the community has less impact on economic growth and welfare. The methode used this system is.the.Simple Addtive Weighting (SAW) and Weight Product (WP) methods. Simple Additive Weighting (SAW) is a decision making process which in the process adds up the weights of the performance appraisal on all alternative attributes. While the Weight Product (WP) method is an analyst decision.methode for a multi-criteria decision making (MCDM) or multi - criteria decision making (MCDM). The existence of a comparison between the two methods is expected to help better select residents in receiving BLT so that they are more targeted. In this study resulted in a system to determine the citizens who are entitled to receive BLT, based on the result the study. Comparison of the SAW and WP methods using 20 alternative data, shows that the second method gets accurate data and is suitable if applied as a ranking of citizens in BLT receipts. In the ranking occupied by Burhan by getting the highest score on the 2 methods, there is an equal ranking of the 2 methods caused by the alternative performance scores, and the weight value of the first criterion in each method. Results Based on the research, is it recommended to use the SAW method to determine the ranking, cause the Ievel of suitability of.the.data in the field is higher than the WP found 99.40 WP found 99.20%.
Audit Sistem Informasi Penjualan Pada UMKM MAM Menggunakan Framework Cobit 5
Authors: Zuraidah Eva , Sulthon Besus Maula
Published: January 2023

Information Technology (IT) has been applied by MAM MSMEs in marketing their products. The application of IT can certainly cause various problems such as what happened to MAM MSMEs, including problematic applications, product delivery accuracy, company human resources in it, and the use of technology that supports sales transactions. Based on these problems, an information system audit was conducted using Cobit 5 which focused on the EDM04 domain Ensure Resource Optimization, APO04 Manage innovation, APO07 Manage Human Resources, BAI08 Manage Knowledge, DSS01 Manage operations, MEA03 Monitor, Evaluate and Assess Compliance with External Requirements. The results of the study indicate that overall, based on the MAM MAM Cobit maturity level, it is at level F or Fully Archived. From the results of the GAP calculation, it was found that for all domains they had not reached the target level and needed improvements as well as improvements. Sales information system audit on MAM MSMEs using all domains has not reached the expected target level. For the calculation of the average maturity level of the six sub domains, namely 1.30 or 130%, which when viewed from the rating scale, it is included in level F, which has reached the Fully achieved value and from the rounding scale of the mapping index the condition of the model capability is at level 1, namely Performed. Process
Rancangan Sistem Manajemen Skripsi Berbasis Web Menggunakan Metode Rapid Application Development (RAD)
Authors: Saputra Novan Alkaf Bahraini , Purba Harja Santana
Published: January 2023

This study aims to develop a thesis management system that can facilitate the management and monitoring of student thesis progress. For this reason, it is necessary to develop a web-based thesis management system that can handle these problems and is based online to facilitate access that is not limited to time and space. The thesis management system is made to serve the entire flow of thesis activities in the computer education study program, starting from the submission of topics, the seminar process, guidance to the assessment of the thesis trial. The design of the system uses the rapid application development ( RAD)  method. Design using UML, such as use case diagrams and activity diagrams, is equipped with entity relationship diagrams (ERD) and interface design using Figma. The technologies used are Laravel PHP Framework, Bootstrap, Javascript JQuery Library, and MySQL Database. Blackbox testing is carried out for all features in the system that are successfully run according to the scenario. 25 student respondents agreed that the thesis management system developed has ease of use and design accuracy. Testing the system generates data that the system is ready for use and implementation. So the system created is considered applicable to the FKIP ULM computer education study program
Jaringan Saraf Tiruan Pengenalan Pola Karakter Kabataku Menggunakan Metode Bidirectional Associative Memory (BAM) Kontinu
Authors: M Padma Mike Putri
Published: January 2023

Artificial neural network is an information processing paradigm with a working system using biological concepts in processing information so that it has capabilities similar to the human brain, Jst is able to solve problems using uncertainty science such as Kabataku pattern recognition. Kabataku is a character operator used in Mathematics with the concepts of X, :, + and -. Introduction This character operator uses the concept of artificial intelligence, which uses the theory and process of Artificial Neural Networks. The purpose of this study is to determine the effectiveness of the Continuous BAM method in recognizing Kabataku character patterns in arithmetic operations in mathematics. The Bidirectional Associative Memory (BAM) method has the ability in associative memory or content addressable memory can be called by using the part stored in the memory itself. BAM in an artificial neural network has 2 layers, namely the input layer and the output layer that are interconnected between the two, also called bidirectional, with the work process if the matrix weight of the signal sent from the input layer X to the output layer Y is W, then the matrix weight of the signal sent from the output layer Y to the input layer X is WT . Continuous BAM method will change the input to output more finely with a value that lies in the range [0,1]. The activation function used is the sigmoid function. The final result of pattern recognition is x1= [-8 -12], x2 =[ 8 0], x3 [12 8], x4= [16 12] Not all patterns match the target.
Sistem Pengambilan Keputusan Kepuasan Pelanggan Bengkel Motor Berkah dengan Metode Simple Additive Weigthing
Authors: Mahrizon Dedi
Published: January 2023

Berkah Motor Workshop is a form of service in motorcycle repair activities, both minor and major damage. Bengkel Berkah strives to provide the best service so that customers feel fast after getting the results of the repair services provided by the blessing workshop. Consumer satisfaction is the main factor in providing services and is able to provide satisfaction for every customer, so that every customer feels satisfied and happy with the services that have been provided. Simple Additive Weighting (SAW) method by finding the weighted sum of the performance of each alternative on all attributes. The final result of this research is a decision-making system in determining customer satisfaction from the results of the Berkah Motor Workshop in accordance with the highest value assessment of the resulting output. Determination of customer satisfaction can be assessed from 5 aspects, namely service, performance, results, responsibility and price. The highest output value is obtained with the highest value, namely 1 on behalf of R and the smallest value of 0.665 on behalf of consumers N and A. The decision-making system using the simple additive weighing method is able to solve problems regarding the assessment of consumer satisfaction in the decision-making system
Pengembangan Model Machine Learning Regresi sebagai Web Service untuk Prediksi Harga Pembelian Mobil dengan Metode CRISP-DM
Authors: Fattah Ahmad Maulana Malik , Voutama Apriade , Heryana Nono , Sulistiyowati Nina
Published: January 2023

Along with the increasing public demand for car transportation modes, car sales businesses are also increasing. Efforts to exist and be competitive are carried out such as by applying machine learning models to determine the car’s selling price based on its specification. Businesses can also stimulate sales by actively offering customers. The effectiveness of the active and massive offerings can be increased by personalizing the offers provided. This research uses a machine learning-based approach to learn customer profile data to predict the car’s price they would buy. The research was conducted by adopting the CRISP-DM framework and developed using the Google Colaboratory and Azure Machine Learning platforms. The modeling stage developed six regression models, those are linear regression, Lasso, Ridge, Random Forest Regressor, Elastic-net, and Support Vector Regressor (SVR). After the evaluation stage, the Lasso regression model with the performance of R-squared (R2) of 0,99958 and Mean Absolute Error (MAE) of 2.284.865,29 deployed as a web service endpoint so it could be accessed in real-time. The web service required the customer’s “Gender, Age, Annual Salary, Credit Card Debt, and Net Worth” to return a response of the recommended car price range prediction for the customer to buy. In further development, predictions obtained through web services can be implemented in public applications to display personalized car sales offers or pages based on customer profiles
Prediksi Hasil Belajar Hybrid Menggunakan Artificial Neural Network Dengan Multilayer Perceptron
Authors: Anwar Saeful , Kurnia Dian Ade , Faqih Ahmad , Sari Siti Rini
Published: January 2023

The implementation of online distance learning affects the psychosocial aspects of students so that a combination of offline and face-to-face learning is carried out using Hybrid Learning. The problem in this research is the analysis of the competencies that will be generated, student characteristics, face-to-face interactions, online learning strategies, and lecturers by calculating the data from the Hybrid Learning evaluation to get the best level of accuracy using the Machine Learning technique method. The purpose of this study is to evaluate the results of Hybrid learning using the Artificial Neural Network (ANN) method which is expected to have the right level of accuracy and prediction and tolerate errors so that it can produce good predictions and can be used to model good relationships in finding patterns in the data. . Prediction of Hybrid Learning learning outcomes during the Covid 19 pandemic using Machine Learning techniques consisting of 12 attributes with a total of 1,231 datasets of Hybrid Learning learning outcomes in 2022. The Artificial Neural Network algorithm model uses Retrive operators, Set Roles, optimization parameters, Cross Validation, Apply Models, Performance and Logs. Accuracy results show 99.35% meaning that the results of the learning evaluation using Hybrid Learning with predictions that match and turn out to be appropriate are 1039, then those that do not match are 8. The predictions are very suitable and turn out to be very suitable in 104. Artificial Neural Network with Multilayer Perceptron, with two hidden layer and the format of the first hidden layer is 2 nodes, then the second hidden layer is 5 nodes with an output of 3 nodes
Implementasi Algoritma Haar Cascade Classifier Dalam Mendeteksi Robot Sepak Bola Beroda
Authors: Sitompul Joshua , Bustami M Irwan , Kisbianty Desi
Published: January 2023

In soccer robot contests, generally soccer robots can recognize their own team robots through color detection using the HSV model. Robots that use color detection to identify their own team robot can detect objects that have the same color value, so objects that have the same color will be considered as their own team robot. However, if you only rely on this method, it is still lacking when viewed in terms of object tracking. Haar like feature or known as Haar Cascade Classifier is a rectangular (square) feature method, which gives a specific indication of an image. This method is able to detect quickly and in real time. Therefore, the researchers tried to unite these two detections to be able to produce a better detection system than before. It is hoped that hoped that in this study, researchers can provide input for the Robotics team of Dinamika Bangsa University in improving the accuracy of robot detection against robots in the same team. From the results of the study it was found that the detection of objects with a distance from the camera as far as 100 cm to 150 cm was successfully carried out, but with a distance of more than 150 cm the object was not detected.