Reviewerly/exHarmony huggingface dataset:
PERANCANGAN APLIKASI PENYEWAAN PADA SHEKEMBAR WEDDING ORGANIZER BOGOR BERBASIS JAVA NETBEANS

Shekembar Wedding Organizer is a business field of wedding services, which currently provides several types of wedding services and wedding packages whose orders are still manually.It takes an application that can be easily operationalized so that with this system it is able to overcome existing problems so that the services provided by Shekembar Wedding Organizer are faster, more efficient, safe and reliable.The method used in this study is the Rapid Application Development (RAD) method.The RAD method is a software development process model that emphasizes short, short, and fast development cycles.Based on the results of the problem formulation in the Shekembar Wedding Organizer, the researchers have a research objective, namely to create applications that facilitate the customer data collection process, create application designs that can assist the data search process, create applications that can be controlled quickly and accurately, create simple but accurate applications.can be used sustainably and create applications that are easy for users to understand.With this rental information system, it is hoped that during registration it will make it easier for Shekembar Wedding Organizer to process registration data more effectively, efficiently and computerized.
SISTEM INFORMASI DATA PRODUKSI LIQUID PADA CV. JAVAJUICE BERBASIS JAVA

Data collection on the liquid production prosess in the CV.JavaJuice still perfoms data collection manually as recorded using paper, which has the potential to be lost or damaged in the data collection process.Because the researchers designed a data collection information system that manages data or records and makes repots computerized, it is formed in an application.The design of this application is made according to the needs of the CV.JavaJuice in conducting research method, which is a research method based on facts and uses data analysis at the same time.There are several development methods carried out by researchers such as observation because the observation method is one of the most techniques for researchers because it is carried out directly in the field in collecting data.This liquid product data processing system uses the java programming language with the netbeans editor and MySQL database.
RANCANGAN SISTEM INFORMASI PENYEWAAN WEDDING ORGANIZER BERBASIS JAVA PADA ARZA WEDDING

Arza Wedding is a business or business that is engaged in services to assist prospective brides in planning and implementing a series of events in a wedding.Information technology for the wedding business will of course be very useful in renting this service, because this business requires a neat and detailed recap of data, to make it easier to recap data, as well as make reports such as rental reports and payment transaction reports.The purpose of this research is to build a computerized wedding organizer rental information system with Javabased applications that support the process of running rental activities at Arza Wedding, using the Java programming language, using the NetBeans editor, and MySQL as a support system for storing databases.It is hoped that this computerized information system can provide convenience in the rental data processing process, simplify data retrieval and minimize the risk of data loss, improve employee performance and quality.
IMPLEMENTASI VR APLIKASI PENGENALAN PARIWISATA KABUPATEN BOGOR MENGGUNAKAN MOBILE UI FLUTTER ANDROID

Bogor Regency is an area that has many tourist destinations that are not inferior to other regions in Indonesia, both natural tourism and artificial tourism which are no less interesting, but with this pandemic, tourists cannot see these attractions directly.So it requires a container that can accommodate an image that can be used to look around tourism objects through smartphone media, so that even though tourists do not visit tourism places directly, they can still see around the tourist attraction.This Virtual Reality (VR)-based tourism introduction application is designed to be used as a medium for introducing Bogor Regency tourism objects.Virtual Reality (VR) uses 360° degree images that will make the user feel as if they are feeling how much they are in the tourist attraction environment.The research method used is an extreme programming (XP) system development model which consists of four stages which include planning, design, coding, and testing.The sample data used were 5 tourism objects taken from Bogor Regency.Based on the results of the research that has been done, all the functions of this application are running well and are expected to help tourists to get the information needed about the tourism objects to be visited.
APLIKASI MOBILE REPORT MENGGUNAKAN SWIFT DAN CODEIGNITER PADA PERUMAHAN TAMAN KARANG BAHAGIA

This study aims to create a reporting system that can simplify the process of citizen reports and manage citizen report data into computerized reports.The research method used is Research and Development and the system development method used in this study is the Waterfall Model.The software modeling tool used uses UML (Unified Modeling Language).The software is built using the Swift, Codeigniter and MySql programming languages as database management for making Mobile Report applications using Swift and Codeiginiter at Taman Karang Bahagia.research results and benefits to increase the author's knowledge and insight in the field of development and is expected to be useful for the benefit of the wider community.For the housing to assist developers in doing work, namely making reports on housing and simplifying the process of making reports on activities in the housing.for the library world add references in the world of literature, especially those related to the design of mobile reporting systems.
PERANCANGAN SISTEM INFORMASI PENGELOLAAN PETSHOP PADA GRAHA SATWA DEPOK BERBASIS JAVA

Graha Satwa Depok is a type of business engaged in the business that sells products and services for pets, such as dogs, cats, and rabbits.In the process of processing data and making reports, it is still quite weak because it is still done manually, it is very possible to lose data at any time.The purpose of this study was to design and build an information system that serves to facilitate data management and reporting effectively and efficiently, as well as facilitating sales transaction activities.The research method used is the waterfall method, because the system made through the data collection stage, the design stage, the implementation stage, and the testing stage.The results of the research that have been described, the researchers designed and developed a system, namely a petshop management information system that serves to facilitate admins in managing data, conducting transaction activities, and making reports.
APLIKASI MEDIA PEMBELAJARAN KUIS INTERAKTIF TINGKAT SMA BERBASIS MOBILE ANDROID

SMA YMIK 2 Jakarta has shortcomings in learning media in the form of interactive quiz applications for specific subjects in daily learning activities at school.This study aims to create a special learning media application for Android-based Mathematics and Physics quizzes that teachers and students can use.The research method used by the researcher is qualitative, with the data collection technique that the researcher uses, namely the Triangulation and Reduction Technique.The data was obtained by digging for the truth of certain information and selecting the data as needed through various sources such as conducting interviews and observations at the school meeting with Mr. Sanir as an employee of SMA YMIK 2 Jakarta, the principal, and Mr. Diki as a BK teacher.After the data was obtained, the researcher used the Waterfall Method to process the data and build the required system.By utilizing information technology, it produces a quiz learning system at SMA YMIK 2 which is dynamic by the needs and teaching units of the semester, namely where every quiz question and teaching material in the form of learning videos can be accessed through the Smartphone of each teacher and student based on Android Mobile.
PERANCANGAN APLIKASI KUMPULAN RESEP ROTI MANIS BERBASIS ANDROID

Making sweetbreads can be a complicated thing if someone does not have a menu idea for making sweetbreads, does not know what ingredients to make sweetbreads needed to make sweetbreads.very easy to get around us.The purpose of the research is to create an application that contains more complete and clear information about sweet bread recipes, Utilizing Android as a medium to introduce people to sweet bread recipes, Designing applications that are easy to use by users.This study uses a qualitative method, which is a contextual research that uses humans as instruments, and is adapted to a reasonable situation in relation to data collection which is generally qualitative in nature.The conclusion is that researchers have succeeded in making an Android-based sweet bread recipe application that aims to make it easier for people to make sweet bread without having to search first which is hampered by quotas or networks.
A Generator-based Method for Attacking Embedding-based Text Classifiers

This paper proposes a method to attack embedding-based text classifiers, namely GenEmC, to reduce the high computational cost of rule-based replacement. GenEmC includes three main steps including data preparation, embedding decoder training, and generator training. The embedding decoder is learned to convert embedding vectors to texts. The generator is trained by a two-term loss to generate adversarial embedding vectors from original texts. After three steps, the combination of two trained models could generate adversarial texts instantly. To demonstrate the effectiveness of GenEmC, the experiments are conducted on the IMDB dataset. The target classifiers are well-trained GRU, LSTM, and Bert. GenEmC is compared with two well-known rule-based replacement methods known as PWWS and TextBugger. The experiments have demonstrated that for 1,000 texts in test set, while the computational cost of GenEmC is an average of about 6 minutes, the others require at least 10 hours. Besides, the average success rate and semantic-preserving output score of GenEmC is moderately higher than those of PWWS and TextBugger.
Impact of Lean Accounting on Value of the Company at the Jordanian Industrial Companies

The purpose of this study was to determine how lean accounting affected the value of the company in Jordanian industrial companies. The researchers used a descriptive-analytical approach to examine study data collected through a questionnaire and from the annual financial reports of the (52) Jordanian industrial companies listed on the Amman Stock Exchange during the period from 2017 to 2021. The study brought up a number of findings, the most important of which are: the availability of an impact of lean accounting tools in enhancing the company's value in Jordanian industrial public shareholding companies, with a high level of relative importance. The study provided a number of recommendations, the most important of which was that Jordanian industrial companies' management creates well-structured plans and implements effective strategies to support increasing the value of the company and achieving excellence and prosperity.
Analysis of the Metaphors in the Song ‘All Too Well’ by Taylor Swift as a Tool for Storytelling

Language is used by humans to communicate and express their ideas as well as feelings, which can be done through literary works such as a song. A song conveys an idea and/or a feeling through its lyrics. In a song, the lyrics may contain various metaphors that carry contextual meaning in order to convey a feeling and emotion. Thus, people may have different interpretation of a song. This applies to all kinds of songs, such as the longer version of Taylor Swift's song, "All Too Well". Therefore, this research will discuss 1) the meaning of the metaphors in the song to help create a better storytelling and 2) the type of metaphors used in the song. The metaphors found in this song will be analysed using Ullman’s theory on metaphors. The method used in this research is descriptive qualitative method because this research will describe the results of this research instead of depict them through numbers. The data in this research is the metaphors found in the song, and the sampling technique for this data is purposive sampling. This technique is chosen because this technique help supplies the data needed to answer the problems of this research. In relations to the aims of this research, there are 26 metaphors found to be used in this song; 3 anthropomorphic metaphors, 1 animal metaphor, 19 concrete to abstract metaphors, and 3 synesthetic metaphors. The use of these metaphors is intended not only so the story in the song can be better delivered to the listeners to make it more captivating, but also for the listeners to be able to understand the depths of emotions the song-writer wished to convey in the song. Therefore, the metaphors have significant influences in the act of storytelling through the lyrics of the song.
SERIOUS GAME : LEARNING DIGITAL FORENSIC ACQUISITION TECHNIQUES TO INCREASE COMMUNITY AWARENESS

One of the common causes of cybercrime is the lack of education and public awareness of cybercrime and digital forensics, such as acquisition techniques. So far, only a few people know in general the digital forensic acquisition technique, because learning about this acquisition technique is difficult to obtain and difficult to understand. This study aims to apply Serious Game as a solution in increasing understanding and at the same time promoting the importance of basic acquisition techniques in the world of digital forensics to the public. The method used in this study is the Design Thinking method, which consists of: Empathize, Define, Ideate, Prototype, and Test. The results obtained in this study are a serious game built using the Unity 3D application. There are several displays produced, including: splash screen, quests/challenges, instructions, simulation of acquisition techniques, selection of evidence, and quizzes. Based on the blackbox testing carried out, it was found that the application had been developed as expected.
FORECASTING PRICES OF FERTILIZER RAW MATERIALS USING LONG SHORT TERM MEMORY

This study uses long short term memory (LSTM) modeling to predict time series data on the price of fertilizer raw materials, namely prilled urea, granular urea, ammonium sulphate((NH4)2SO4), ammonia (NH3), diammonium phosphate((NH4)2HPO4 ), phosphoric acid (H3PO4), phosphate rock (P2O5), NPK 16-16-16, potash, sulfur, and sulfuric acid (H2SO4). Predictions are made based on data that existed in the past using the long short term memory method, which is a derivative of the recurrent neural network. Carry out the evaluation process by looking at the root mean square error (RMSE) and mean absolute percentage error (MAPE) of the model that has been created. The results obtained are quite good, as seen from the root mean square error (RMSE) and mean absolute percentage error (MAPE) which are close to 0 and not too high. Sulfur raw material got the smallest root mean square error (RMSE) with a score of 0.053 and diammonium phosphate raw material got the smallest mean absolute percentage error (MAPE) evaluation value with 2.3%, while the largest value was for the root mean square error (RMSE) of raw materials. Phosphoric acid fertilizer raw material with a value of 22,979 and the largest mean absolute percentage error (MAPE) comes from sulfuric acid fertilizer raw material with a value of 9.180%.
IMPLEMENTATION COBIT 2019 FOR EVALUATION OF HEALTH CLINIC INFORMATION SYSTEM GOVERNANCE IN CENTRAL JAVA

The clinic is one of the small and medium-scale public facilities that provide individual health services with basic and detailed services. The application of information systems in health clinics has been carried out in recent years to support good performance in health services for the community. This study aims to evaluate the capability of information system governance that has been implemented in health clinics. The evaluation of this information system uses COBIT 2019. The latest framework is used as a guide in the evaluation of governance. COBIT 2019 has 10 design factors and 40 domains, which will then be the top domains that will be used to analyze information system capabilities. The results were obtained in several domains, including BAI02, BAI03, and BAI07. Furthermore, the results were obtained from the level of information system capability for each domain, namely the BAI02 domain with level 3 capability, the BAI03 domain with level 4 capability, and the BAI07 domain with level 3 capability. Two domains still have gaps, namely BAI02 and BAI07. Then this research also produces several recommendations to achieve the specified target level, such as being able to build your information system without relying on third parties and being able to design operational standards and guidelines that can be used in the transition to technological change.
IMPROVED SUPPORT VECTOR MACHINE PERFORMANCE USING PARTICLE SWARM OPTIMIZATION IN CREDIT RISK CLASSIFICATION

In Classification using Support Vector Machine (SVM), each kernel has parameters that affect the classification accuracy results. This study examines the improvement of SVM performance by selecting parameters using Particle Swarm Optimization (PSO) on credit risk classification, the results of which are compared with SVM with random parameter selection. The classification performance is evaluated by applying the SVM classification to the Credit German benchmark credit data set and the private credit data set which is a credit data set issued from a local bank in North Sumatra. Although it requires a longer execution time to achieve optimal accuracy values, the SVM+PSO combination is quite effective and more systematic than trial and error techniques in finding SVM parameter values, so as to produce better accuracy. In general, the test results show that the RBF kernel is able to produce higher accuracy and f1-scores than linear and polynomial kernels. SVM classification with optimization using PSO can produce better accuracy than classification using SVM without optimization, namely the determination of parameters randomly. Credit data classification accuracy increased to 92.31%.
US Electronic Common Technical Document (eCTD): An Overview

The International Council for Harmonization (formerly, International Conference on Harmonization), ICH, has come up with uniform Technical Requirements for registration of pharmaceuticals for human use so as to avoid the redundancy in the work by the pharmaceutical manufacturer for submitting registration dossier to the regulatory authority of the intended market.Common Technical Document (CTD) format has now become the obligatory format for the EU, Japan, Canada, Switzerland and Australia, and the recommended format in the US.Even the derivatives of the CTD are becoming widely adopted in other regions like the ASEAN countries.Electronic Common Technical Document (e-CTD) is an extension form of CTD where structure is specified by XML based backbone (Extensible Mark-up Language).The e-CTD is an interface between industry and agency for knowing and sharing regulatory information and at the same time taking in to consideration of creating, reviewing the lifecycle of submission.It provides a harmonized solution to implement the Common Technical Document (CTD) electronically.An eCTD consists of individual documents in PDF format which are arranged in a hierarchical form as per the CTD structure.It also has an XML backbone which cross-links required documents and provides information regarding the submission.
Heavy Metals and Total Hydrocarbon Contents of Nypa fruticans Grown along the Shores of Qua Iboe River, Akwa Ibom State of Nigeria

This study ascertains the amount of heavy metal and hydrocarbon content in an area exposed to crude oil exploration and exploitation activities. The study area is the Qua Iboe River in the Niger Delta region of Nigeria and the study samples were Nypa palm (Nypa fruticans) leaves obtained along the shores of the river. The concentration of Pb, Cd, Cu and Ni in the leaves were determined using the Atomic Absorption Spectrophotometer while Total Hydrocarbon Content was determined using Gas Chromatography, coupled with the flame ionization detector (GC-FID). Results obtained showed that in site I, Pb mean concentration was 1.068±0.014 mg/kg, Cd (0.017±0.003 mg/kg), Cu (2.390±0.204 mg/kg), Ni (0.012±0.001 mg/kg) and THC (124.361.7± 1120.502 mg/kg) while for site II: Pb (1.076±0.025 mg/kg), Cd (0.028±0.003 mg/kg) Cu (0.037±0.007 mg/kg) Ni (2.049±0.024 mg/kg) and THC (311,813.4± 2950.291 mg/kg). Heavy metal concentration in the study sites were largely within the WHO permissible limits with the exception of Cd in site II. Generally, the amount of heavy metals and THC were higher in the study sites than in the control site, which was an area with negligent oil exploitation and industrial activities. Therefore, the elevated concentration of heavy metals and THC in the study sites may be attributed to the various industrial activities sited in the area.
A PROGRAMMABLE DSP CORE DESIGN FOR SPEECH/AUDIO CODEC SOC

A novel programmable DSP core, called LASP24 (Low-cost Application-driven Speech Processor, with 24-bit data width), is developed. It is targeted as a wide-range platform of multimedia applications. The processor core is optimized to efficiently perform fundamental operations for speech/audio signal processing such as vector and matrix operations, and it can be easily embedded into the SOC platform. The design is fabricated with the UMC 0.18 m standard-cell technology in the total area of 6.5 mm2, and it can operate at 100 MHz. It has also been demonstrated that the MELP speech coding and the sound reverberation method could be executed in real-time on the LASP24 operating at 80 Mhz. The assembler and emulator environment have also been developed for designers to verify their algorithms.
Improving Students’ Writing Skill Using Think Pair Share Strategy

The purpose of this study is to improve students' writing skills in English using Think Pair Share Learning Strategy. The method for this research is Classroom Action Research. The researcher will try to use the Think Pair Share strategy properly to solve problems in Teaching Writing at BIT BINA AULIA Vocational High School. The object of the research in this study is grade 10 students. Think Pair Share not only makes students think individually but also builds Communication Skills when all students are asked to present and share their thoughts and the result of discussions with their partners, or in front of the class. This research is established in two cycles within four steps for each cycles: plan, action, observation, and reflection. In reflections, the researcher finds things to improve the next cycle. Students’ worksheets have to show a good result to see how much students have improved their writing skills in hope and conclusion that the Think Pair Share Learning strategy can be used as a variation of learning to improve English writing skills