bluuebunny/crossref_metadata_2025 huggingface dataset:
Pengaruh User Experience dan Consumer-Based Brand Equity Terhadap Loyalitas Pengguna Shopee
Authors: Hoiriyah Hoiriyah , Darmansah Darmansah , Purbaya Muhammad Eka
Published: January 2023

Shopee can be regarded as an E-Marketplace which is the second wave of E-Commerce and expands the combination of consumer business (B2B, C2B, and C2C) into B2B. Shopee is a phenomenon that occurs and will continue to grow in the years to come. However, it is felt that changing trends and moving application users occur very quickly. Every user must pay attention to the advantages and disadvantages of the application used. User requests on the application can be seen in terms of user behavior. The level of comfort felt by users in using the application can be measured through user behavior factors. Through user behavior factors emerge user experiences arising from interactions with the application. The purpose of this study is to determine the factors that influence between variables by identifying the relationship between endogenous and exogenous variables on Brand Loyalty by using the modified User Experience and Consumer Based Brand Equity methods. Respondents in the questionnaire were 150 using non-probability sampling technique with purposive sampling type, data analysis using Structural Equation Modeling-Partial Last Square with a Likert scale as the measurement scale used. The result of this research is that Brand Association (BA) is not significant positive on Brand Loyalty (BL). Brand Trust (BT) is significantly positive on Brand Loyalty (BL). Perceived Value (PV) is significantly positive on Brand Loyalty (BL). Pleasure in Use (PiU) is significantly positive on Brand Loyalty (BL). Social Value (SV) is significantly positive on Brand Loyalty (BL). Usability (US) is not significant positive towards Brand Loyalty (BL)
Penerapan Metode K-Means Untuk Clustering Desa Rawan Bencana Berdasarkan Data Kejadian Terjadinya Bencana Alam
Authors: Ramadhani Devy Isya , Damayanti Oki , Thaushiyah Osa , Kadafi Abdul Rahman
Published: January 2023

Located in the Southeast Asian region, the country of Indonesia is one of the areas prone to disasters related to demographic, geological and geographical conditions that trigger disasters both caused by natural factors, non-natural factors and human factors. Purbalingga is an area of Central Java Province which has the potential for disasters to occur when weather conditions are uncertain. The K-Means clustering method is used to make it easier to analyze and group data to identify several disaster-prone areas in the Purbalingga area. In this research, data processing uses rapidminer tools. Based on data processing, there were 5 clusters of disaster-prone areas in Purbalingga Regency with a very high level of vulnerability, a high level of vulnerability, a medium level of vulnerability, a low level of vulnerability and a very low level of vulnerability. With the existence of groups of disaster-prone areas that have been determined, it is hoped that the anticipation made for disasters that may arise can continue to be carried out appropriately so as to minimize the effects of disasters on the community.
Studi Perbandingan Library Untuk Implementasi Network Automation Menggunakan Paramiko Dan Netmiko Pada Router Mikrotik
Authors: Mauboy Luis Geraldo , Wellem Theophilus
Published: January 2023

In recent years, network automation has emerged as a solution to the impracticality of manually configuring network devices by network administrators. By implementing network automation, network administrators can configure and manage network devices automatically using scripts or software that is run from one of the hosts or servers in the network. This paper aims to conduct a comparative study through the implementation of cases for network automation. Four scenarios are taken as examples for the implementation of network automation, among others, static routing, dynamic routing, network address translation (NAT), and simple network management protocol (SNMP). The automation scripts are realized using Python libraries, namely Paramiko and Netmiko. Tests and simulations were carried out using the GNS3 simulator software with a network topology consisting of two Mikrotik routers, one Ethernet switch, one Network Automation server, and two computers as clients. The experiment results show that automation using the Paramiko library is better than automation using the Netmiko library in terms of the time required for the execution of configuration scripts. The average execution time for the four implemented scenarios is 3.66 seconds.
Implementasi Mobile Ad-Hoc Network Pada Daerah Pasca Bencana Dengan Protokol DSR
Authors: Segara Alon Jala Tirta , Wijayanto Aditya , Gustalika Muhamad Azrino , Ramadhani Afifah Dwi
Published: January 2023

Indonesia is one of the countries that has a very large potential for disaster. If a disaster occurs then all activities will stop because the infrastructure is damaged. One of the example is digital payment activitiy. It will stop because there are failure because the existing system is loss. The proposed research is to conduct modeling using cellular ad hoc networks (MANET). An Ad-Hoc network is a standalone configuration for configuring the network infrastructure of devices that can self-configure wirelessly connected devices. In its development, Mobile ad hoc networks can be used in many ways. One of the example is in disaster management. In this study, we recommend restructuring the network by using a mobile ad hoc network to replace network infrastructure damaged by disasters. We are trying to design a replacement network infrastructure to replace the damaged network infrastructure so that payment transactions can be carried out continuously until the restoration of the new network infrastructure can be built. The protocol used in this study is the DSR (Dynamic Source Routing) protocol, this protocol has the advantage of finding routes when there is damage to the links between nodes. From the simulation results using NS-2, by increasing the number of nodes in the simulation area, it shows that there is a decrease in packet loss to 0%. There is an increase in delivery success of almost 98% when the number of nodes is increased. And there is a decrease in delay with the addition of the number of nodes
Sistem Pendukung Keputusan Pemilihan Teknisi Terbaik Menggunakan Metode Fuzzy Tsukamoto
Authors: Hutahaean Jeperson , Hutagalung Juniar
Published: January 2023

One of the Human Resources (HR) management activities carried out is the selection of the best technicians. As is the case with Central Ponsel in determining the best mobile technician. It is not an easy thing to get a qualified HR workforce. The process of selecting technicians is still conventional, all data for new technician candidates is recorded manually, so it takes a long time to process the selection results and is still not accurate. The selection of technicians is based on kinship, resulting in an unobjective assessment and social jealousy for other prospective technicians. This has resulted in the owners of Central Ponsel having difficulty making decisions on choosing the best technician because the process of recapitulating the results of the technician's performance evaluation is done independently and manually, resulting in less accurate assessment results, there is no ranking of the final assessment results so that it is difficult to get the title of the best technician. If allowed to drag on then this can certainly hamper performance and operations which can also cause losses for the owner of Central Ponsel. So to solve the problems mentioned above, you can apply the Fuzzy Tsukamoto method in a Decision Support System (DSS). The purpose of this research is to produce a system that can assist the owner of Central Ponsel in determining the best technician so that they are able to make decisions more effectively and efficiently. Based on the calculation that is declared acceptable is the alternative A-03 with the highest score of 75,625 as the best mobile phone technician. This system is expected to assist in providing recommendations for the best technicians who can be selected to carry out tasks tailored to the needs and conditions.
Penerapan Metode TOPSIS Pada Sistem Pendukung Keputusan Untuk Pemilihan Pegawai Teladan
Authors: Fauziyah Fauziyah , Ramos Samuel
Published: January 2023

An exemplary employee is a person who works in an office or company institution by getting a salary, but has something that can be imitated or good to emulate his actions, behavior, and so on. The problem faced in this study is in the process of selecting exemplary employees. The criteria used by the research in this study are presence, responsibility, cooperation, discipline, and initiative. In selecting exemplary employees, a Decision Support System is needed. The method used in this study is the Technicque For Order Preference By Similarity To Ideal Solution (TOPSIS) which takes into account all the criteria that support decision making to help speed up and simplify the decision-making process. The results of this study will produce a ranking order of several candidates who are appointed as exemplary employee candidates. The highest ranking exemplary employees are; Dermansyah alternate (V8), with a value of 0.6511
Sistem Pendukung Keputusan Pemilihan Pemasok Batik Ruzza Menggunakan Metode Simple Additive Weighting (SAW)
Authors: Ruzza Vidia , Ramdhani Alamsyah Farizki , Saputra Farhan Adi , Wiguna Citra
Published: January 2023

Batik Ruzza is a batik industry UMKM that was developed in the Pekalongan area, Central Java. The trademark "Batik Ruzza" has been producing batik clothes for more than 20 years. Batik Ruzza in carrying out its activities is very focused on raw materials, quality, completeness, and service. The problem with MSME Batik Ruzza is that there is a defect in the Batik Ruzza product which causes a buildup of clothing products that cannot be sold on the market. This is partly due to the non-optimal selection of raw material suppliers for batik clothes to improve the quality of Batik Ruzza products. The purpose of this research is to determine the right criteria for the company in determining the supplier of raw materials appropriately. The method used is Simple Additive Weighting (SAW). The basic concept of the SAW method is to find the weighted sum of the performance ratings for each alternative on all attributes. The selected criteria attributes are price, quality, completeness, delivery, and service. Based on the calculations carried out, it was found that the best supplier recommendation was the alternative A5 or Tiara which was worthy of being used as a supplier of batik cloth for Batik Ruzza clothing products
Implementasi Algoritma C5.0 Untuk Klasifikasi Kepuasan Masyarakat Terhadap Pelayanan Kantor Kecamatan
Authors: Widiyanti Rahmanita , Suhery Cucu , Hidayati Rahmi
Published: January 2023

Public service is an activity to fulfill service needs for the people. Kecamatan Pontianak Kota Office is one of the institutes that perform public services. People's satisfaction with the services provided by the Kecamatan Pontianak Kota Office can be measured by a satisfaction survey in order to improve service quality. The existence of various assessment elements makes it difficult for the Kecamatan Pontianak Kota Office to determine people's satisfaction with services. Therefore, we need a system that can classify and determine the elements of the assessment that affect service satisfaction. In this research, the C5.0 algorithm was used to classify people's satisfaction. The assessment elements (variables) used for classification consist of suitability of services, understanding of procedures, speed of service, costs, service standards, officers' abilities, behavior of officers, facilities and infrastructure, and service complaints. This research resulted in a classification such as very good, good, and not good. The amount of data used is 250 data with training data used as much as 175 data and test data as much as 75 data. The C5.0 algorithm produces a decision tree, rules, and the ability of officers as an influential assessment element. Based on the test results obtained 90.67% accuracy, 68.085% precision, 55.89% recall, and 9.33% error rate
Penerapan Metode CRM Pada Perancangan Sistem Informasi Penjualan Pakaian dan Aksesoris
Authors: Al Farisi Muhamad Firhan , Purwanto Agung
Published: January 2023

VJ Collection is one of the stores engaged in trading that has sold various clothing and accessories products specifically for men, originating from various well-known brands. Sales are still made manually, and there is a risk of errors when calculating the total amount of the purchase price. To overcome this problem, a sales promotion information system will be proposed that can facilitate customers in getting to know the products on offer and make online purchase transactions. . The use of the CRM method is to record customers, give product ratings, and E-mail marketing. This research aims to design a website that suits the needs of VJ Collection and customers in carrying out the necessary transactions. The conclusions that can be obtained in this study are the system is considered to be able to assist the store in managing all transaction data and can view and create the desired report instantly. As for the application of CRM to the system, it is assessed that it can increase customer loyalty by using E-mail marketing which offers in the form of discount bonuses.
Modeling the Digital Al-Quran User Experience as Tahfidzul Quran Media using the Task-Centered System Design
Authors: Khumairah Adinda Rahma , Sabariah Mira Kania , Effendy Veronikha
Published: January 2023

The development of technology in the world from time to time continues to progress so rapidly that various kinds of tools in the world are now converted into digital tools that facilitate the activities of human life. However, with the development of this technology, unfortunately, it has not had much impact in the realm of Tahfidz Al-Quran. Media Tahfidz Al-Quran, currently available in the community, is to follow a program that learns under the guidance of a teacher or study together in one place. Based on a survey conducted by interviews using several digital Al-Quran applications available in the android play store as a media for Tahfidz Al-Quran. The usability aspect that has not been fulfilled in using digital Al-Quran as a media for Tahfidzul Quran is efficiency and satisfaction. Therefore, to properly use Tahfidz al-Quran in digital form, it is required to have the appropriate UX modeling in line with the needs of Tahfidz Al-Quran. Because Task-Centered System Design (TCSD) method puts a strong emphasis on user demands and task requirements, this study intends to create a design using TCSD.Furthermore, to ensure that the model developed is within the circumstances and user characteristics, the product model outcomes will be assessed using the System Usability Scale (SUS). The findings of this study provide recommendations for the Tahfidz Al-Quran application's user interface design and have an improved usability score at 88.75, which is expected to be a benchmark for the Tahfidz Al-Quran application. Therefore, the TCSD method can also raise the SUS usability value in the application
Pengembangan Sistem Deteksi Memakai Masker Menggunakan Open CV, Tensorflow dan Keras
Authors: Tiku Johanes Christianto , Saputra Wahyu Andi , Prasetyo Novian Adi
Published: January 2023

In 2020 the country had contracted the covid 19 virus. The very significant spread made the government have to issue regulations regarding the implementation of health protocols for wearing mask to inhibit the development of the covid 19 virus in the community in real time. By utilizing technological developments in the field of deeplearning and computer vision, this study aims to detect maskon people's faces based on the classification made in the system of wearing maskand not wearing memakai maskers. This study used tensorflow/hard, opencv and deeplearning to perform classification and detection on faces. Based on the results of the confusion matrix test using 100 test data with a group of 50 wearing maskand 50 not wearing memakai maskers, it resulted in 91% Accuracy to detect maskon the faceTRANSLATE with x EnglishArabicHebrewPolishBulgarianHindiPortugueseCatalanHmong DawRomanianChinese SimplifiedHungarianRussianChinese TraditionalIndonesianSlovakCzechItalianSlovenianDanishJapaneseSpanishDutchKlingonSwedishEnglishKoreanThaiEstonianLatvianTurkishFinnishLithuanianUkrainianFrenchMalayUrduGermanMalteseVietnameseGreekNorwegianWelshHaitian CreolePersian //  TRANSLATE with COPY THE URL BELOW Back EMBED THE SNIPPET BELOW IN YOUR SITE Enable collaborative features and customize widget: Bing Webmaster PortalBack//
Penerapan Teknologi Augmented Reality Sebagai Media Pembelajaran Ilmu Tajwid Berbasis Android
Authors: Adhani Alip , Gustalika Muhamad Azrino , A Iqsyahiro Kresna
Published: January 2023

Mutiara Islam Integrated Islamic Elementary School is a superior school for students of Islamic religious education. At this school, it is related to Islamic religious education, one of which is the basics of tajwid. The science of recitation is very important in reading the Qur'an, because one of the things that needs to be done is to apply it when reading the Qur'an to understand the science of recitation. Different levels of students' understanding of the applied learning process methods. Building interactive learning media in which there is an attractive visualization further increases students' enthusiasm for learning and increases students' understanding of the material being taught. This research builds interactive learning media of recitation based on augmented reality with software application development adopting the Android Mobile Multimedia Development Life Cycle (MDLC) method in the form of a computer application. The tracking method of augmented reality (AR) technology that can be used in this research is marker-based tracking. Based on the results of functional testing shows that the application is functioning properly. In the test results, the angle shows a tilt angle of 20 degrees with a high pass rate and a maximum angle limit of 80 - 90 degrees using smartphones with different specifications. The results of the analysis of user satisfaction, good test results were carried out through a questionnaire with a total of 30 respondents giving an average SUS score of 86.8, which leads to the conclusion that the application can be accepted by users with a Excellent adjective rating category
Analisis Sentimen Tokopedia Pada Ulasan di Google Playstore Menggunakan Algoritma Naïve Bayes Classifier dan K-Nearest Neighbor
Authors: Firdaus Muhammad Farid El , Nurfaizah Nurfaizah , Sarmini Sarmini
Published: January 2023

The growth of marketplace users in Indonesia continues to grow with one of the largest marketplaces being Tokopedia with a total download of more than 50 million. This achievement cannot be separated from the role of evaluating application performance by consumers on Google Play, this can affect other consumers' trust in the Tokopedia application. The purpose of this study is to conduct a sentiment analysis on application performance based on application user comments, where the dataset used in this study is 992 comments. The algorithms used in this research are nave Bayes algorithm and k-nearest neighbor. The results showed that the accuracy of the nave Bayes algorithm was 75.30% and the accuracy of the k-nearest neighbor algorithm was 86.09%.
Pengujian Model Pengaruh Tata Kelola TI Terhadap Transformasi Digital dan Kinerja Asuransi B
Authors: Wahyuni Rizka Putri , Mulyana Rahmat , Abdurrahman Lukman
Published: January 2023

The emergence of emerging technology disruptions, changes in stakeholder behavior towards digital, coupled with the Covid-19 pandemic has forced various incumbent organizations to transform digitally (TD). There are still many investments related to TD that fail to achieve the expected expectations due to the alleged lack of good governance implementation. Previous studies have examined the significant role of information technology (IT) on organizational performance. However, it is suspected that traditional IT Governance (TKTI) practices are not necessarily effective in the digital era. Only a few have examined the effect of IT governance (TKTI) on TD, and no one has examined the effect of TD on organizational performance (KO). Therefore, this study aimed to validate the effect of hybrid TKTI mechanisms (traditional and agile/adaptive) on TD, as well as the effect of TD on knockouts and their performance achievements through a balanced scorecard (BSC) perspective. The research method used is a survey by distributing Likert-scale online questionnaires to 11 roles related to BP in Asuransi B and succeeded in getting 50 relevant respondents. Data from the results of filling out the questionnaire were analyzed with the help of SmartPLS 3.0 tools. The test is carried out using Structural Equation Modeling (SEM) with a formative model, in the form of testing the inner model and outer model. The test results of this study indicate that both traditional and agile/adaptive TKTI mechanisms have a significant positive effect on BP. Then TD also proved to have a significant positive effect on KO. This research contributes to the knowledge base for further research on related topics, and can be an implementation reference to oversee the success of TD for practitioners, especially in the context of the insurance industry
Penerapan Metode Regresi Linear Pada Sistem Peringatan Dini Banjir Berbasis Internet of Things (IoT)
Authors: Pratama Nugra Zurus , Rismawan Tedy , Suhardi Suhardi
Published: January 2023

Flood is an event when water inundates an area that is usually not flooded for a certain period of time. Floods usually occur because of continuous rainfall and result in overflow of river. Floods can cause negative impact such as puddles of water that enter homes of those affected. Therefore, we need a system to monitor the weather and can provide flood early warning. In this study the weather monitoring system and flood early warning were made based on internet of things by applying linear regression methods. The system consists of a weather sensor node, a water level sensor node and software in the form of a website. The system measures rainfall, air temperature, humidity, and water level. The process of sending data from the sensor to the server uses ESP32 as a microcontroller which is connected to a wifi network and internet. The system will send a notification if the water level is above the normal level. Based on the test results obtained as many as 45 occurrences of rainfall. The percentage of success in predicting water levels using the linear regression method is 94,4% with an error value of 5,6%.
Analisis Kualitatif Pengaruh Tata Kelola TI Terhadap Transformasi Digital dan Kinerja: Studi Kasus Asuransi A
Authors: Artha Uli , Mulyana Rahmat , Ramadani Luthfi
Published: January 2023

The emergence of digital technology, innovation competition and government regulations Making BUMN 4.0 disrupt incumbent organizations must carry out digital transformation (DT). It turns out that many of TD's efforts fail to live up to expectations due to poor governance. Previous studies have proven the role of IT governance (ITG). Unfortunately, there are still few studies exploring the mechanism of hybrid ITG that affects DT and organizational performance (OP). Therefore, we propose a research question about how the 46 ITG mechanisms affect DT and OP in the Indonesian insurance industry. Insurance A was chosen because there is a strategic direction for TD acceleration as the basis for digitization. Case study method with qualitative data collection through semi-structured interviews and thematic analysis. This study resulted in 4 themes, 19 sub-themes, and 60 codes and succeeded in demonstrating the mechanism of hybrid ITG that affects DT and the dimensions of DT that affect the achievement of knockout targets through the perspective of BSC in the insurance industry. This research is expected to be a reference for further research as well as an implementation reference to oversee the journey of DT, especially in the insurance industry
Kinerja Algoritma Convolutional Neural Network dalam Klasifikasi Covid-19 Varian Omicron Berdasarkan Citra Ct-Scan Thoax
Authors: Nurdiawan Odi , Herdiana Ruli , Ali Irfan , Melia Melia , Fijriani Mia
Published: January 2023

The second wave of the Covid-19 tsunami in India has broken the record for the highest number of additional cases and deaths in the world. Variant mutations are one of the contributing factors. Infection Crown variant Delta (B.1.617.2) is a mutation of the Covid-19 infection that has been endemic (SARS-CoV.2 B.1.617). The problem in this study is that the level of accuracy is still low in determining the covid-19 variant of the omicron resulting in uncertainty in decision makers by experts so that this research is needed to help with excellent accuracy measurements. The purpose of this study is to find a good model by applying the Convolutional Neural Network algorithm so that it can increase high accuracy and can be used in decision making by medical experts. The results of this study provide important information that the image size and the amount of input data greatly affect the level of accuracy in the Convolutional Neural Network method with the stages of data collection, preprocessing, Image Augmentation, Resize, Split Data, Convolutional Neural Network Architecture, Convolution, Pooling, Flattening, Full Connections, and Evaluations. Accuracy results with 400 input data produce training and testing (validation) on a chest x-ray image dataset using the Convolutional Neural Network architecture that has been created, 30 iterations (epochs) and 30 step_per_epochs showing an accuracy value of 0.88 or 88 % and the loss value is 0.3119 and the accuracy results with input data are 800 data, resulting in training and testing (validation) on the chest x-ray image dataset using the Convolutional Neural Network architecture that has been created, iterations (epochs) 30 times, and step_per_epoch as many as 30 shows an accuracy value of 0.93 or 93% and a loss value of 0.2711
Penerapan Metode Mobile-Net Untuk Klasifikasi Citra Penyakit Kanker Paru-Paru
Authors: Khultsum Umi , Sarasati Fajar , Taufik Ghofar
Published: January 2023

Lung cancer is the main cause of all cancer diagnoses which reaches 13 percent in the world. According to WHO, lung cancer is the most common type of cancer in men in Indonesia and the fifth most common for all types of cancer in women. This is because the majority of smoking is experienced by men, causing lung cancer. Until now there is no suitable screening method for lung cancer in general. Screening methods that have been recommended for the detection of lung cancer are limited to high-risk patient groups. Whereas the risk of the severity of lung cancer will be even greater if it is not detected early, so as a result lung cancer patients are increasingly difficult to treat. The development of this biomedical technology can be used to assist the early detection process in patients suffering from lung cancer regardless of the criteria for the high risk group first, because if cancer is detected early, the death rate decreases. So in this study the researchers segmented and classified lung cancer using one of the architectures of the CNN algorithm, namely Mobile-Net to facilitate the classification and detection process of lung cancer. As the results of the research conducted by the author on the image of lung cancer with the K-Means segmentation process and classification using the CNN method with the Mobile-Net model, the accuracy is 96.70% and the validation accuracy is 90.45%. This shows that the classification using Mobile-Net with the segmentation process first on the lung cancer image can properly classify the type of disease well
Pengembangan dan Evaluasi Sistem Presensi Pegawai dengan Data Geolocation Menggunakan Metode Prototipe
Authors: Wardhana Ariq Cahya , Hasan Ananda Rifkiy , Rijanandi Teguh
Published: January 2023

The Ma'arif NU Ajibarang Education Organizing Foundation (YYPMNU) is a foundation engaged in education in the Ajibarang area. There are 4 types of UPT operating under the auspices of the foundation, including SMK Ma'arif NU 1 Ajibarang, SMK Ma'arif NU 2 Ajibarang, STIKES Ibnu Sina Ajibarang, and Modern Islamic Boarding School Ibnu Sina Ajibarang. The management of the foundation's personnel attendance has been carried out by utilizing information technology but it is still not effective and efficient because the presence using fingerprints causes long queues when they come to work, so it is necessary to develop an employee attendance system that can be accessed online by all employees without having to queue. The employee attendance system has been successfully developed based on Responsive Web Apps (RWA) which features presence location coverage between employees and UPT locations using geolocation data available on employee smartphones. The results of the performance evaluation of the employee attendance system using google lighthouse resulted in an average performance of 41.5.
Perencanaan Strategis Sistem Informasi Wisata Hutan Pinus Limpakuwus Dengan Menggunakan Metode Ward And Peppard
Authors: Pangestu Puji , Setyadi Resad
Published: January 2023

Planning Information Systems (IS) and Information Technology (IT) today helps an organization's success in its business. Limpakuwus pine forest nature tourism located in Baturaden Purwokerto is a tourist spot that utilizes technology, namely Electronic Ticketing manually to assist visitors in ordering tickets. Limpakuwus Baturaden pine forest tourism which is owned by the Indonesian State Forestry Public Company (PERUM PERHUTANI), the East BANYUMAS Forest Management Unit (KPH) currently does not use SI/IT optimally or comprehensively. This research has a purpose, namely to make IS/IT planning for the Limpakuwus Baturaden pine forest tourism. The method in this study uses qualitative research methods, qualitative methods are research that emphasizes in-depth understanding of a problem, qualitative research usually tends to be descriptive and uses more in-depth analysis. This research uses a strategic planning analysis of Ward And Peppard information systems, Ward And Peppard analysis is the identification of a technology or computer-based application portfolio to support organizations in implementing business plans and realizing business goals, Ward And Peppard has an input stage consisting of business environment analysis. external and internal business environment analysis. The output stage consists of business strategy, IS/IT management strategy, IT strategy and future application portfolio. The method of collecting data in this study is through interviews or interviews with the manager of the Limpakuwus Pine Forest tourist attraction. The data from this research is descriptive in the form of secondary data. The results of this study are in the form of IS/IT planning documents for Limpakuwus pine forest tourism and recommendations for IS/IT proposals for tourism objects in Baturaden Limpakuwus Pine Forest
Klasifikasi Penjualan berdasarkan Platform pada UMKM Omah Branded Menggunakan Random Forest
Authors: Rindiyani Rindiyani , Primadewi Ardhin , Maimunah Maimunah , Purwantini Annisa Hakim
Published: January 2023

UMKM have a role in development growth to increase state income. Omah Branded which is an UMKM in the Fashion category from small children to adults in the Mungkid area, Magelang Regency, Indonesia. Currently the resulting sales transaction data has not been used to classify or classify sales products based on the sales platform that can affect the revenue of the Branded Omah. Selling products on online platforms is often referred to as digital marketing. It has become widespread and widely applied in Indonesia due to the development of the internet and changing consumers. Easy internet access using wifi or gadgets makes it easier for people to access information about a product or service they are looking for. One of the data mining for classification is the Random Forest Algorithm. The Random Forest algorithm has a random selection in generating child nodes for each node (top node), the classification of each tree is accumulated and the classification results that appear frequently can improve accuracy. In this study, by classifying Omah Branded sales data based on the sales platform using the random forest method, it is hoped that the results of this study can be used as a development solution for taking Omah Branded marketing strategies. The accuracy value using the Random Forest classification on the sales data of this Omah Branded product produces an accuracy of 92% based on the results of the confusion matrix calculation.
Sentimen Analisis Opini Masyarakat Terhadap Kebijakan Kominfo atas Pemblokiran Situs non-PSE pada Media Sosial Twitter
Authors: Rahmawati Catur , Sukmasetya Pristi
Published: January 2023

Kominfo is a state government agency in the field of communication and information. Some time ago Kominfo issued a policy, namely the blocking of sites that do not register themselves as PSE. This policy has become a hot topic on social media, especially Twitter. Therefore, this research was conducted by collecting public opinion, especially on Twitter for sentiment analysis. The goal is to be able to classify public responses into positive, negative and neutral opinions using the InSet Lexicon. In addition, the classification will compare several classification methods, namely Decision Tree, KNN, Naïve Bayes, Random Forest, Logistic Regression and SVM. The results of this study stated that as many as 1234 tweets that had been pre-processed tended to be negative with a percentage of 82.82%. while positive tweets are worth 10.53% and neutral tweets are 6.65%. The method with high accuracy value in this study is the KNN and Random Forest methods with an accuracy of 85.8%.
Analisis Perbandingan Algoritma Round-Robin dengan Least-Connection Terhadap Peningkatan Nilai Throughput Pada Layanan Web Server
Authors: Sinlae Alfry Aristo Jansen , Bagir Muhammad , Prayitno M Hadi
Published: January 2023

The massive growth of the current internet network has triggered an increase in the number of users connected to various server services. These conditions must be handled with a good server system. This can be accomplished through the implementation of many servers, because with many servers the incoming load will be unraveled. One method that can be used in distributing the received load to a number of servers is load balancing. This study aims to obtain the best throughput value from the load balancing method using round-robin and least-connection algorithms. The results of the connection test with a request value of 500 connections/second for 1000 requests, 600 connections/second for 1200 requests, load balancing with the least-connection algorithm looks a little better. This condition is caused by the distribution of active connections that can still be handled by each server. However, during the test period of 700 connections/sec for 1400 requests, 800 connections/sec for 1600 requests, and 900 connections/sec for 1800 requests there was a change in the ability to respond to incoming requests. This certainly has a significant impact on the throughput provided by the server when processing a request.
Jaringan Saraf Tiruan Pengenalan Pola Huruf Sistem Matriks dengan Algoritma Hebb Rule
Authors: Yendrizal Yendrizal
Published: January 2023

The science of artificial intelligence is currently very developed, this can be seen from the development of patterns and characters of artificial intelligence. This stems from the need to maintain security and information related to data so that it can be adjusted with a confidentiality key in the form of pattern and character lock recognition. Pattern recognition consists of various kinds such as facial recognition patterns and fingerprint patterns. The problem in this study is the lack of understanding in maintaining data confidentiality so that the benefits of this research are able to maintain data confidentiality by using a matrix pattern. This study uses the Hebb rule method to obtain the final results. The matrix variable used is from x1 to x25 input and bias 1 with initial weight value 0, W and M patterns are initialized with character x worth 1 and character o worth -1 with bipolar output, U target 1 and S target -1, function f( net) is 1 if Y >= 0 and -1 if Y < 0. The final result after the search process is obtained the value W = -8 and M=-8which produces the same output as the target and can be recognized
Sistem Pengambilan Keputusan Kelayakan Pemberian Kredit Rumah Bersubsidi Menggunakan Fuzzy Sugeno
Authors: Silvilestari Silvilestari
Published: January 2023

Subsidized housing is a government program to meet the increasing housing needs. This subsidized program is specifically given to people who do not have their own place to live. The problem in this study is that it is difficult to determine who is entitled to receive subsidized housing assistance. The purpose of this study is to facilitate the housing provider selectors in accordance with predetermined criteria. The settlement of this case uses the Decision-Making System method using the concept of Fuzzy Logic. Characteristics and concepts of a Decision-Making System is a process of selecting an alternative action taken to obtain a goal to solve problems in achieving goals in taking a decision. The concept used is the Sugeno method by going through four stages, namely Fuzzification, inference engine, the implication function, and fuzzification by taking the largest x value (Max) with the AND operator process. The final result of determining the feasibility of providing subsidized housing with a value of X, 14,63,100,130 produces output 1 with the decision accepted
Estimasi Kemampuan Computational Thingking Pemain Game Dota Dua Menggunakan Teknik Machine Learning
Authors: Dikananda Arif Rinaldi , Nurdiawan Odi , Faqih Ahmad , Surip Agus , Saputra Dias Bayu
Published: January 2023

Computational thinking is a way of analytic thinking, a general mathematical thinking approach that may be used in solving a problem, a general engineering thinking approach that allows designing and evaluating large and complex systems that exist in the real world, as well as a general scientific thinking approach in understanding computing ability, intelligence, human mind and behavior. With the existence of online games at a time like today, there is a tendency for many students to play online games because it has its own challenges, many of them even spend a lot of money and even forget the time to play online games. there is an urgency to the level of computational thinking of dota two players, so it is necessary to estimate using machine learning techniques to determine the level of computational thinking of dota two game players. The results of this study provide information that in Estimating the Computational Thinking Ability of Dota Dua Game Players Using Machine Learning Techniques using attribute 6 and rapidminer tools version 10 with operators to be used, including retrieval dataset, role set, correlation matrix, selected by weighted, split data, linear regression, apply model and performance. Produces an error accuracy rate in this study, namely, root mean squered error 0.383 +/- 0.000 Squared error 0.146 +/- 0.016 Squared Correlation 1.000, then this value is the best value from several test results. So it can be estimated as follows that the results of the Computational Thinking Ability are good as much as 36 while the Computational Thinking Ability is sufficient as much as 47
Analisis Sentimen Review Produk Skincare Dengan Naïve Bayes Classifier Berbasis Particle Swarm Optimization (PSO)
Authors: Astuti Tri , Astuti Yuli
Published: January 2023

Skin care products have become the main needs of all people who are the targets of various brands of skin care products. However, not all skin care products have good quality according to consumer needs. They look for products that have the best quality by looking at reviews from other people, so they have an idea that influences their interest from other people's reviews submitted through various marketplace platforms or social media regarding the results after using these skin care products. Sentiment analysis is one way to analyze and classify reviews into positive opinions and negative opinions regarding the product in question to look for product quality based on public views. The algorithm used in this research is the Naive Bayes Classifier. The Naive Bayes Classifier method was chosen for reasons of ease of implementation, fast and high accuracy. The Naïve Bayes method also has a disadvantage, namely it is sensitive to feature selection, which results in low classification accuracy. Therefore, in this study, the feature selection method, namely Particle Swarm Optimization, was used in order to increase the accuracy of the Naïve Bayes classifier. The dataset used is 800 data reviews and tested using 10-Fold Cross Validation. The results showed an increase in accuracy from 77.96% to 79.85%.
Penerapan k-Means Clustering Berdasarkan Analisis RFM Terhadap Segmentasi Pembeli untuk Meningkatkan Strategi CRM
Authors: Wiguno Tigar Cahyo , Nataliani Yessica
Published: January 2023

An industry requires a good strategy in running its business. Saga Bako is a small industry that sells various types of tobacco and its equipment. However, Saga Bako has not yet implemented a Customer Relationship Management (CRM) strategy in its service to buyers. It is necessary to segment customers to find out less profitable buyers and buyers who provide large profits. The use of data mining also contributes when segmenting customers through the use of purchase data. The methodology applied in this research is CRISP-DM with purchase data at Saga Bako from January to March 2022. The k-means algorithm is applied in the formation of clusters based on the Recency, Frequency, Monetary (RFM) model, with the help of Weka 3.8.5 tools. The Elbow method is used to determine the best number of clusters (k). The results obtained are from 47 buyers with 663 transaction data divided into three clusters, 26 low potential buyers, ten medium potential buyers, and 11 high potential buyers.
Design and Build a Covid-19 Health Protocol Tool at a Doctor's Practice Based on the Internet of Things
Authors: Sakinah Siti Nur , Ramdhan William , Sumantri Sumantri
Published: January 2023

Since the beginning of 2020, the world has been facing an outbreak of the Corona Virus Disease (COVID-19). A person can catch the Corona virus when touching the nose, mouth or eyes after touching a surface that has been contaminated with the virus from a person who coughs or sneezes. To prevent contracting COVID-19, one way that can be done is to get used to washing hands with soap and running water, especially when in public places. Doctor Usman's practice is one of the medical practices in Kisaran City. The doctor's practice handles common diseases, the patients who come consist of various groups. During the current pandemic, the existing health protocols are strictly guarded in order to stop the spread of the existing virus. The protocol used is to always wear a mask, keep a distance and wash your hands before entering. Hand washing in practice is still using manual hand washing, namely with water filled in a paint barrel and given a faucet. The working system of the tool made is when the patient's hand is close to the water faucet, the ultrasonic sensor will detect the distance between the sensor and the hand. When the detected distance is less than the specified distance, the relay will be active to order the water out. The working system for soap and hand dryers is also the same as for water systems, namely detecting with an ultrasonic system. Then when the water sensor located in the water and soap container detects that the contents are empty, the sensor in it sends a notification to the officer or nurse who is in charge of the tool. With the automatic hand washing device, people don't need to touch the water faucet to wash their hands, thereby minimizing the possibility of transmitting the virus
Partner Sentiment Analysis for Telkom University on Twitter Social Media Using Decision Tree (CART) Algorithm
Authors: Ryanto Sean Akbar , Richasdy Donni , Astuti Widi
Published: January 2023

Sentiment analysis is an analysis in terms of opinion and meaning in the form of writing. Sentiment analysis is very useful for expressing opinions from any individual or group to improve branding.  Branding is a process to promote and improve the name of a brand or brands to attract the attention of consumers to be interested in trying the services of a company that runs in academic terms such as Telkom University. However, this requires cooperation between other associations as partners so that the branding carried out can be effective. One form of cooperation is by providing opinions about Telkom University so that consumers are more familiar with Telkom University on Twitter social media which is the largest social media used by many people because it can provide any opinion freely. Therefore, this study aims to analyze the sentiment submitted by partners for Telkom University on Twitter which is the main factor for promoting themselves to consumers. The process carried out is to take all tweets about Telkom University submitted by partners and then carry out the TF-IDF weighting process and classified using the Decision Tree CART algorithm based on positive, negative, and neutral sentiment categories. The best results obtained by the Decision Tree model of the CART algorithm are the Accuracy value of 86.73%, Precision of 87.06%, Recall of 87.55%, and F1-Score of 86.52%.
Implementasi Metode HSI pada Transformasi Ruang Warna Dalam Mendeteksi Kematangan Buah Mangga Udang
Authors: Br Tarigan Yuni Franciska , Andriani Karina , Rosnelly Rika , Wanayumini Wanayumini
Published: January 2023

Mango is a plant that is widely cultivated in Indonesia. Mango is a fruit that is popular and favored by almost the entire world population. Mango is not a native plant from Indonesia but is a fruit plant native to India that has a distinctive taste. The shelf life is very short because it is a fruit that is easily damaged or rotted in a certain period of time. The use of technology Digital image is an image that can be processed directly by a computer. A digital image can be represented by a matrix consisting of M columns and N rows, where the intersection between the columns and rows is called a pixel (picture element), which is the smallest element of an image. Image processing is a form of processing an image or image by numerical processing of the image, in this case, each pixel or point of the image is processed. One image processing technique utilizes a computer as software to process each pixel of an image. For image processing applications that perform object recognition, it will be easier if the object is identified using the difference in its hue value by limiting a certain value of the hue value to the object. The HSI color space model is a color space system similar to the performance of the human eye. HSI works by combining the color or grayscale contained in the image. Based on the reference value range of the Mango Shrimp fruit that has been determined in the process using the HSI method, it can be concluded that the test image of the Mango Shrimp fruit with a value of H=32 S=0.675 I=83 then the manga can be said to be ripe.