Reviewerly/exHarmony huggingface dataset:
Penentuan Tingkat Kepuasaan Pelanggan dengan Pengambilan Keputusan Menggunakan Metode Fuzzy Tsukamoto (Studi Kasus:Toko Emas Murni Padang)

Customer satisfaction is a human feeling that is described in the variable of words. This variable is not rigid so that its value cannot be calculated with certainty. So to be able to directly feel the value of the variables of words that are used daily, fuzzy logic can be used. Research data obtained from the results of distributing questionnaires consisting of indicators of service quality, product quality and price. The stages of the Tsukamoto fuzzy method are determining the fuzzy set of input and output variables, determining the implication function, forming fuzzy logic rules, and performing defuzzification with a weighted average. Based on the results of the value of customer satisfaction obtained in subject 1 with a value of service quality 14, product quality 14 and price 10, the results obtained with a satisfaction value of 49.88.
TEKNOLOGI BLOCKCHAIN DALAM KAJIAN PEPERANGAN ASIMETRIS: PERSPEKTIF INDONESIA

Technological advances are changing the face of war and how we prepare for it. Blockchain, as a technological breakthrough in the field of information technology, opens up numerous opportunities for research and application in a variety of fields. Using a qualitative descriptive method, this paper aims to provide an overview of the opportunities and threats presented by the presence of blockchain technology in the study of asymmetric warfare. The study's findings are expected to be considered when making decisions to implement blockchain technology in the defense sector in Indonesia as an anticipatory strategy against asymmetric warfare. The benefits and negative impacts brought about by the emergence of blockchain technology are the indicators used in this research to explore the problems. According to the findings of this study, blockchain technology can be used to improve cybersecurity, reduce single points of failure in emergency decision-making systems, improve supply chain and logistics operations efficiency, increase the transparency of audits of procurement of goods and services, protect weapon systems and digital infrastructure, secure unmanned aerial vehicle (UAV) and swarm systems, and validate orders and battle information. However, blockchain technology has a negative impact due to its potential to be used for various cryptocurrencies-related cybercrime.
Single-image translation based on multi-scale dense feature fusion

Abstract：To solve the problems of low image quality and poor detail features generated by the existing single image translation models，a single image translation model based on multi-scale dense feature fusion is proposed in this paper.First，in this model，the idea of multi-scale pyramid structure is used to downs• ample the original and target images to obtain input images of different sizes.Then，in the generator，im • ages of different sizes are input into the dense feature module for style feature extraction，which are trans• ferred from the original image to the target image，and the required translation image is generated through continuous game confrontation with the discriminator.Finally，dense feature modules are added in each stage of training by means of incremental growth generator training，which realizes the migration of gener• ated images from global to local styles，and generates the required translation images.Extensive experi• ments have been conducted on various unsupervised images to perform image translation tasks.The exper
Geochemical characterization of Egbetua stream sediments, southwestern Nigeria: implication for provenance and depositional conditions

The aim of this work is to determine the provenance, chemical index of alteration, elemental spatial distribution in the stream sediments, stream flow energy and the depositional conditions in the study area. The study area is located in Egbetua area in Akoko Edo Local Government Area of Edo State, Southwestern Nigeria. It is located on latitudes 07º 21’30’’N and 07º 22’N longitudes 06º 15’ 30” E and 06º 17’E and average elevation of 182 metres. Standard field and laboratory procedures were used in the study. Geochemical analysis was carried out using x-ray fluorescence method. Average concentrations of SiO2 (78.24 wt. %), Al2O3 (ca. 12.15 wt. %) and the chemical index of alteration (CIA) values of 68.90% indicate felsic granitic source rocks. Ce/Ce*, Eu/Eu* and (La/Yb)n ratios were used to deduce the prevailing reducing-oxidizing depositional environment of the sediments. Ce/Ce* (0.80) confirmed an oxidizing environment of deposition with low stream flow energy, while Eu/Eu* (0.07) corroborated an oxidizing environment with felsic source rock. (La/Yb)n (5.95) indicated an oxidizing environment in a low stream energy flow with coarse-grained and clay size sediment input.
Cracking the Quantum Advantage threshold for Gaussian Boson Sampling

Scientists in quantum technology aspire to quantum advantage: a computational result unattainable with classical computers. Gaussian boson sampling experiment has been already claimed to achieve this goal. In this setup squeezed light states interfere in a mid-sized linear optical network, where multi-photon collisions take place. The exact simulation of the counting statistics of $n$ threshold detectors is far beyond the possibilities of modern supercomputers once $n$ exceeds $100$. Here we challenge quantum advantage for a mid-sized Gaussian boson sampling setup and propose the approximate algorithm to obtain the probability of any specific measurement outcome. For an 70-mode device on a laptop, our approximation achieves accuracy competitive with the experimental one.
Perbandingan Algoritma K-Means dan K-Medoids Untuk Pemetaan Daerah Penanganan Diare Pada Balita di Kabupaten Kuningan

Diarrhea is an endemic disease that contributes to the high mortality rate in Indonesia, especially among children under five. The Kuningan District Health Office had difficulties in monitoring and supervising the spread of diarrheal diseases. This study aims to produce a mapping scheme of priority areas in handling the prevention and control of the spread of diarrheal disease in children under five in Kuningan Regency. The method used is the Data Mining Clustering method by comparing two algorithms, namely the K-Means algorithm and the K-Medoids algorithm. Determination of the optimum number of clusters using the Elbow and Silhouette Coefficient methods. With this method, the result is that in the K-Means algorithm the optimum number of clusters is 3 clusters while the K-Medoids algorithm is 2 clusters. The best cluster evaluation uses the Davies-Bouldin Index (DBI) method and the results show that the K-Means DBI value is always smaller than the K-Medoids algorithm in either 2 clusters or 3 clusters, this shows that the K-Means algorithm is better than the K-Medoids algorithm. Based on these results, it is recommended to map priority areas for handling diarrheal diseases using the K-Means algorithm with 3 clusters, namely medium priority areas consisting of 9 regions, high priority areas consisting of 3 regions and low priority areas consisting of 25 regions. The results of the mapping can be used as input for the Kuningan District Health Office to develop strategies for preventing and preventing diarrheal diseases in children under five.
Analisis Perbandingan Metode Mobile-D Dan Prototype Pada Pembangunan Aplikasi E-Book Anak Usia Dini

Literacy education in Indonesia is very low, which occupies the 62nd rank of 70 countries in the world. Based on the survey, one of the ways to increase the reading interest in the Indonesian people is to teach literacy education early in the age range of 3-6 years, where children begin to increase their cognitive, psychosocial and physical, and physical abilities. Therefore, we will develop an e-book as a learning medium to attract early childhood attention. The method used to develop this application is the Mobile-D method and prototype. The results of the test conducted on the E-Book Application of the Early Children's E-Book stated that all input forms and buttons in the system could run properly and the integrity of the output data on the input or the action carried out is following the user's expectations. The results of the analysis, design, implementation and comparison of the methods that have been carried out in the manufacture of this application show that the mobile-D development model is suitable for mobile development that can run on the system environment that accepts if there is a change or addition, the number of teams is a little, at level Applications, small-built systems and relatively short, development times. While the prototype development model is more suitable for systems made based on certain requests and needs by use.
Kepuasan Pengguna Layanan Shopee Food Menggunakan Algoritma Naive Bayes

The rising growth of e-commerce in Indonesia has resulted in a shift in people's spending patterns toward online shopping. This growth triggers marketers or sellers to learn various strategies to satisfy consumers when shopping using applications, especially the Shopee online store. This study aimed to analyze the satisfaction of consumers and users of the Shopee food service application as measured in various aspects, including price and service quality. The population in this study were 33 respondents with a minimum age of 15 years and a maximum of 50 years who had to make payments at least once in the last six months on the Shopee application. The data collection technique in this study used an online questionnaire distribution using Google Forms, which was then analyzed by SPSS and classified using the Naïve Bayes (NB) algorithm with the RapidMiner tool. The analyzed data includes application display attributes or indicators, the number of drivers, price discounts, and payment methods. The results of this study indicate that all independent variables affect the dependent variable by 49.7% and simultaneously affect user satisfaction. Also, the accuracy of NB can reach 100% with 90% training and 10% testing data.
Algoritma C4.5 Untuk Klasifikasi Kelayakan Kredit Calon Debitur Pada Sistem Informasi Penjualan

In the era of information technology, the internet can be used as a medium to sell goods easily. By using the web-based information system, market coverage can be leveraged and the probability of getting customers is bigger. In a transaction, especially in the retail market, the process of buying is usually carried out using a credit payment system. Of course, in order to approve credit application is required scrutiny assessment from creditor to debtor profile to guarantee the payment continuity. In this research is developed a sales information system, which is integrated with creditworthiness determination feature using C4.5 algorithm. In this system, customers are able to buy and also apply credit. The credit application process can be rejected or accepted by the admin by looking at the credit trustworthiness as the result of C.45 algorithm process. By using this feature can be determined whether a debtor is qualified or not to receive credit, based on profile qualification such as occupation type, number of dependents, and domicile status. To develop information systems is used the method of Incremental Model. This method is chosen to prioritize the finishing system by its urgency, separated into several sub-processes, i.e., sales information system, account management, purchasing, and admin. The system implementation result is tested using the Black-Box Testing method, which is considered the most effective to test the system comprehensively. Also, from the test result of creditworthiness determination feature is obtained accurate result with the average value of Precision = 0.876, Recall = 0.952, and F-Measure = 0.912.
Perancangan Arsitektur Enterprise FMIPA UNTAN Menggunakan Kerangka Kerja TOGAF Berbasis SOA

The research aims to develop an Enterprise Architecture from FMIPA UNTAN, this is based on the many individual information systems that have been developed by FMIPA UNTAN which are not integrated in data and technology. This situation results in overlapping data that can affect the effectiveness of decision making within the organization. The designed Enterprise Architecture implements the concept of service-oriented architecture in order to support the integration between the business layer and the organization's technology layer. To support the research, several concepts are used, such as TOGAF as a framework for developing Enterprise Architecture, Service Oriented Architecture as a supporter for integration of architectural layers, and Archimate and Business Process Modeling Notation as a modeling language used to create architectural artifacts. The stages of the research included problem identification, the Enterprise Architecture development process followed the stages of TOGAF ADM namely the preliminary phase, architectural vision, business architecture, information system architecture, technology architecture, and making an architecture implementation roadmap. The results of the development of Enterprise Architecture are architectural artifacts consisting of catalogs, matrices, and diagrams of business, information system, and technology architecture. Based on the design results, it is found that the Enterprise Service Bus concept in Service Oriented Architecture can be used to support application and data integration in organization, as well as the concept of service access can bridge the gap between the business layer and the technology layer.
中学校の体つくり運動における運動種別型の授業内容の提案

Revision of the Course of Study in 2017 created a need to revise lesson plans for units in the Physical Fitness domain. Accordingly, plans were designed for exercise-specific units and implemented at a junior high school in Tokyo. One of the main challenges being faced by the schools is the lack of teaching materials for fitness exercises; an attempt was made to develop video-based materials for this purpose. The following findings were obtained: (1) high values emerged in formative class evaluations conducted to assess class outcomes; (2) in the questionnaire, students stated opinions such as experiencing a “sense of accomplishment” in trying and succeeding to perform “movements I had never done before”. In an interview, the class teacher reported that video-based teaching materials were very effective for junior high school educators who are experiencing problems in the Physical Fitness domain. The findings indicated that the development of lessons for exercise-specific units were an effective way to plan for Physical Fitness classes.
Exercise Contents with High Continuous Acceptability in Daily Life for University Liberal Arts Physical Education Students

The aim of this study is to devise/coach an exercise program which can be implemented comfortably in daily life in order to develop a college-education coursework to heighten outside-school-hour activities, and in addition, to make clear that what physical exercise whose continuity in daily life is highly acceptable. We devised exercise contents which have a high affinity to daily-life activities and low in physical burden, and checked the easiness of continuing them by choosing students who take the course of physical education as part of the liberal arts in college as the test target. The results of Web questionnaire were as follows: (1) Many of the devised contents were affirmatively assessed from all of the view points of degree of interest/comfort, level of difficulty, degree of desire to implement them. (2) 29 % of the students continued the exercise contents for more than a week after the end of the course period. The stretching-oriented exercise contents were more favorably accepted than the training-oriented exercise contents. (3) The reasons for the students’ continuation of the exercise were mostly its easiness and light-heartedness. From the above result, it was suggested that the exercise contents devised in this study were affirmatively assessed and that ‘stretching-oriented exercise which can be performed easily with a light heart’ is highly acceptable in continuing in daily life.
A Novel Approach for Immediate, Interactive CT Data Visualization and Evaluation using GPU-based Segmentation and Visual Analysis

CT data of industrially produced cast metal parts are often afflicted with artefacts due to complex geometries ill-suited for the scanning process. Simple global threshold-based porosity detection algorithms usually fail to deliver meaningful results. Other adaptive methods can handle image artefacts, but require long preprocessing times. This makes an efficient analysis workflow infeasible. We propose an alternative approach for analyzing and visualizing volume defects in a fully interactive manner, where analyzing volumes becomes more of an interactive exploration instead of time-consuming parameter guessing interrupted by long processing times. Our system is based on a highly efficient GPU implementation of a segmentation algorithm for porosity detection. The runtime is on the order of seconds for a full volume and parametrization is kept simple due to a single threshold parameter. A fully interactive user interface comprised of multiple linked views allows to quickly identify defects of interest, while filtering out artefacts even in noisy areas.
Characterisation of fiber lay-up and defects in CFRP using Talbot-Lau grating interferometry

Using Talbot-Lau grating interferometer X-ray computed tomography (TLGI-XCT) we determine the fiber lay-up and quantify defects in loaded carbon fibre-reinforced polymer samples in three dimensions. In contrast to conventional XCT, TLGI-XCT provides three complementary image characteristics during image acquisition: a) attenuation contrast (AC), b) differential phase contrast (DPC), and c) dark-field contrast (DFC). Using a desktop TLGI-XCT system (Skyscan 1294), we visualize fibre bundles, resin rich areas, and defects (cracks and pores) in CFRP laminates that were subjected to low impact energies up to 15 Joules. The combined application of AC, DFC, and DPC volume data facilitates the intuitive visualization of fiber lay-up and the component´s microstructure, including resin-rich areas. Moreover, dark-field images yield a high contrast and a strong signal at interfaces improving the detection of microcracks in relatively large samples whereas these defects are barely detectable using standard XCT.
Pengembangan Lembar Kerja Peserta Didik Elektronik (e-LKPD) Berbasis Inkuiri Terbimbing untuk Meningkatkan Hasil Belajar Peserta Didik Kelas XI MIA SMAN 2 Parepare

This study is a development research, which aims at developing an electronic students worksheet based on guided inquiry on Acid-Base material which is valid, practical, and effective to be used to improve the learning outcomes. The research procedure employed ADDIE development model, which consisted of stages of analysis, design, devleopment, implementation, and evaluation. The electronic students worksheet was validated by two experts. Then, it was tested to grade XI MIA at SMAN 2 Parepare. The results of the study reveal that the electronic students worksheet developed is valid with the validity average 3.60. The practicality test covered: (1) learning implementation of electronic students worksheet based on guided inquiry is in the average M = 1.82 with fully implemented category, (2) the teacher gave positive response with the total average 91%, which means the electronic students worksheet is in very practical category, and (3) the students gave positive response with the total average 88.98, which is in very practical category. The electronic students worksheet based on guided inquiry developed has met the effective criteria as well with class completeness percentage 90.62%, meaning that it has over the class completeness percentage of 80% minimum. The electronic students worksheet developed consists of the cover, the title of material, electronic students worksheet manual, basic competence, competence achievement indicator, learning objective, and evaluation.
DISCIPLINE PROGRAM FOR IMPROVING STUDENT LEARNING OUTCOMES AT TSANAWIYAH MADRASAH KANJENG SEPUH, SIDAYU, GRESIK

MTs Kanjeng Sepuh is one of the educational institutions that was established under the auspices of the Taman Pendidikan Kanjeng Sepuh foundation which has a discipline program through two attendance systems (paper absent and fingerprint absent) which have been implemented simultaneously since 2014 which are closely monitored by picket teachers and other supervisory teachers. This program is able to help improve student learning outcomes because the teaching and learning process is more focused and more conducive. This researcher aims to answer some problem formulations; 1). How is the discipline program in improving student learning outcomes at MTs Kanjeng Sepuh, Sidayu sub-district, Gresik district? 2). What are the supporting and inhibiting factors in implementing discipline programs in improving student learning outcomes at MTs Kanjeng Sepuh, Sidayu sub-district, Gresik district. This type of research includes qualitative research, which produces data and is analyzed using descriptive methods adapted to the disciplinary program in improving student learning outcomes at MTs Kanjeng Sepuh Sidayu Gresik. The results of this study, that MTs Kanjeng Sepuh in implementing the student attendance disciplinary program uses a 2 attendance system, namely manual attendance which is carried out in class (paper attendance) and non-manual attendance (fingerprint) simultaneously and the program runs effectively as evidenced by the persistence of the program from year after year, positive responses from related parties to the implementation of the program and getting maximum learning outcomes are evidenced by student achievements every year. As for the implementation of the program, of course there are supporting factors and inhibiting factors, this is the supporting factor of the effectiveness of the discipline program in improving student learning outcomes at MTs Kanjeng Sepuh as follows: 1). Response or cooperation of all related parties, 2). Achievement targets that meet, 3). Adequate facilities, 4) make it easy to recap data, 5). Has 2 attendance data to be more accurate. As for the inhibiting factors of the effectiveness of the discipline program in improving student learning outcomes at MTs Kanjeng Sepuh as follows: 1). Uncertain internet connection (fingerprint attendance), 2). The electricity goes out and the pulse runs out without being caught (fingerprint attendance), 3). Lost files (manual attendance), 4). Requires a large budget (manual attendance), 5). Queues to queue for fingerprint attendance are boring.
Graph Structure and Isomorphism Learning: A Survey

With the great success of artificial intelligence in recent years, graph learning is gaining attention from both academia and industry [1, 2]. The power of graph data is its capacity to represent numerous complicated structures in a broad spectrum of application domains including protein networks, social networks, food webs, molecular structures, knowledge graphs, sentence dependency trees, and scene graphs of images. However, designing an effective graph learning architecture on arbitrary graphs is still an on-going research topic because of two challenges of learning complex topological structures of graphs and their nature of isomorphism. In this work, we aim to summarize and discuss the latest methods in graph learning, with special attention to two aspects of structure learning and permutation invariance learning. The survey starts by reviewing basic concepts on graph theory and graph signal processing. Next, we provide systematic categorization of graph learning methods to address two aspects above respectively. Finally, we conclude our paper with discussions and open issues in research and practice.