Reviewerly/exHarmony huggingface dataset:
Video Creation of Waste Handling Work Program By Batu City Environment Service

The waste problem in Batu City is a chore that must be addressed immediately. As many as 77 tons or about 0.35 kg/person/day of waste are recorded in this city. The Batu City Environmental Service (DLH) in collaboration with the Recycling Community or KUDU reduced waste in Batu City in a creative way. KUDU, which consists of 23 recycling entrepreneurs, utilizes waste to create products that have artistic value and selling value. The success of reducing waste in this way requires the support of all residents of Batu City. Therefore DLH Kota Batu has made a video of the work program for handling waste with the aim of involving the active role of residents in dealing with waste problems. This video is also intended to present a positive image of DLH Kota Batu and establish an ongoing partnership with KUDU members. The video narrative is compiled based on research data obtained through observation, literature study, and interviews. Videos are publicly displayed on social media so that video messages can reach all levels of Batu City residents.
PEMETAAN DISTRIBUSI CURAH HUJAN RATA-RATA MENGGUNAKAN METODE ISOHYET DI WILAYAH KABUPATEN TANGERANG

The purpose of this study was to obtain information related to the distribution mapping of average rainfall in the Tangerang Regency area. Hydrological analysis is needed in determining the average rainfall in an area, one of which is by using the Isohyet method. The isohyet method is a method of making a connecting line that brings together points of the same rain depth. The research was conducted by analyzing rainfall data in the Tangerang Regency area in the last five years, namely the period 2016 to 2020. The research data were obtained from three observation stations, namely: 1. Budiarto Curug Meteorological Station, 2. Pondok Betung Climatology Station, and 3. Ciputat Region II BMKG Station. This research was conducted in two activities, namely: 1. Rainfall data collection, and 2. Data processing using Minitab and ArcGIS applications. Based on the results of processing rainfall data for the 2016-2020 period at three observation stations, the P-Value was 0.115 and the Kolmogorof Smirnov test value was 0.103 for heading 1, P-Value was 0.115 and the Kolmogorof Smirnov test value was 0.103 for heading 2, and P-Value &lt; 0.010 and the Kolmogorof-Smirnov test value of 0.195 for heading 3. The results of the calculation of rainfall from the three observation posts show that the rainfall in the Tangerang Regency area is normally distributed. The results of the rainfall mapping using the Isohyet method also show that the rainfall in the Tangerang Regency area is evenly distributed.
PENATAAN LAHAN DAN BANGUNAN PERKOTAAN MENGGUNAKAN TEKNOLOGI SISTEM INFORMASI GEOGRAFIS BERBASIS KOMPUTER UNTUK PEMBANGUNAN BERKELANJUTAN

Arrangement of land and buildings in urban areas tend to deviate from the norm land capability and suitability to the environment as well as low quality standards.The purpose of research is to generate a data base of land and buildings in urban areas using geographic information system technology to realize a computer -based sustainable development.The method used in this research is descriptive and correlative slices and combined for integrated analysis of spatial and attribute .The results of the study (1) a conceptual model of land and buildings to be developed on the base map scale 1 : 500 or 1 : 1,000 with 1,000 x 500 m coverage so that the theme can be presented well and clearly , (2) functional model of land and buildings must go through a process normalization of the data base of information that was effective , (3) the implementation of a data base of urban land and buildings should be tested to the stakeholders so as to obtain feedback for improvement and can precisely meet the needs of the end user.
Tindak Perundungan dan Resiliensinya dalam Novel Remaja Indonesia

Abstract: Bullying is a social phenomenon that still often occurs in society. Bullying is also included as a public problem that is of concern to the world, including the world of literature. The proof, found literary works in the form of novels that contain acts of bullying. The focus of this research is to describe the acts of bullying in Indonesian youth novels, which include (1) form, (2) causal factors, (3) the impact of bullying, and (4) the resilience of victims of bullying. This research is a descriptive qualitative research. The data sources of this research are the novel 00.00 by Ameylia Falensia, Kisah untuk Geri by Erisca Febriani, and Senior by Eko Ivano Winata. The data collection technique of this research is to read and record the data contained in the novel 00.00 by Ameylia Falensia, Kisah untuk Geri by Erisca Febriani, and Senior by Eko Ivano Winata. The results of this study indicate the presence of bullying and its resilience. First, there are four forms of bullying, namely physical, verbal, relational bullying, and property use. Second, there are five factors that cause bullying, namely individual factors, family, peers, school, and media. Third, there are two effects of bullying, namely physical and psychological impacts. Finally, there are seven aspects of bullying victims' resilience, namely impulse control, emotion regulation, empathy, optimism, causal analysis, self-efficacy, and reaching out. Keywords: youth novels, bullying, resilience Abstrak: Perundungan merupakan fenomena sosial yang masih sering terjadi dalam masyarakat. Perun­dungan juga termasuk ke dalam masalah publik yang menjadi perhatian dunia, termasuk dunia sastra, misalnya novel novel 00.00 karya Ameylia Falensia, Kisah untuk Geri karya Erisca Febriani, dan Senior karya Eko Ivano Winata yang memuat tindak perundungan. Fokus penelitian ini adalah mendeskripsikan tindak perundungan dalam novel remaja Indonesia, yang meliputi (1) bentuk, (2) faktor penyebab, (3) dampak perundungan, dan (4) resiliensi korban perundungan. Penelitian ini merupakan penelitian kualitatif deskriptif. Sumber data penelitian ini adalah novel 00.00 karya Ameylia Falensia, Kisah untuk Geri karya Erisca Febriani, dan Senior karya Eko Ivano Winata. Teknik pengumpulan data penelitian ini adalah membaca dan mencatat data-data yang termuat dalam novel 00.00 karya Ameylia Falensia, Kisah untuk Geri karya Erisca Febriani, dan Senior karya Eko Ivano Winata. Hasil penelitian ini menunjukkan adanya tindak perundungan dan resiliensinya. Pertama, terdapat empat bentuk perundungan, yakni perundungan fisik, verbal, relasional, dan penggunaan properti. Kedua, terdapat lima faktor penyebab terjadinya perundungan, yakni faktor individu, keluarga, teman sebaya, sekolah, dan media. Ketiga, terdapat dua dampak akibat perundungan, yakni dampak fisik dan psikis. Keempat, terdapat tujuh aspek resiliensi korban perundungan, yakni pengendalian impuls, regulasi emosi, empati, optimisme, analisis kausal, efikasi diri, dan reaching out. Kata kunci: novel remaja, perundungan, resiliensi
KEGIATAN KATALOGISASI DI PERPUSTAKAAN SMAN 12 BANDUNG

The library is an institution that manages collections in the form of written works, printed works, and recorded works with a professional management system and aims to meet the needs of education, research, preservation, information, and recreation for users or users. One of the most important activities carried out by a library is the management of library materials. This library material management activity is one of the core activities of the library where the organization of library materials is a process of preparing library materials starting from the library materials entered until the library materials are ready to be used by the users systematically with the aim that the process of searching for information on library materials can be carried out more easily. This study aims to find out how the library of SMAN 12 Bandung manage their library materials. This study uses a descriptive qualitative research method where the authors make direct observations to the library of SMAN 12 Bandung to find out the conditions of their library materials processing. After making observations, the authors found that the management of library materials in the library of SMAN 12 Bandung is still not optimal due to several factors, such as not inputting bibliographic data into the online database. Even so, the library materials in the library of SMAN 12 Bandung have been arranged systematically on the bookshelf in accordance with the book classification number.
Applications of Pattern Recognition Techniques in Social Science

Pattern recognition is a branch of machine learning that focuses on the recognition of patterns and regularities in data, although it is in some cases considered to be nearly synonymous with machine learning. Pattern recognition algorithms can be effectively applied for analysis of big data obtained from society to predict possible chaos in future or to identify required changes needed for society or changing the public policies. This technical note reviews some method of pattern recognition in society.
Application of Weighted Product (WP) Method in Selection of Superior Seed Varieties of Sugar Cane

Sugarcane (Saccharum officinarum Linn) is a raw material for sugar production. PT. Perkebunan Nusantara II is one of the nurseries and sugarcane processing places in North Sumatra. The results of observations on sugarcane production are always increasing but the results are not too optimal. Determination of superior varieties of sugarcane seeds is very appropriate to be one of the factors supporting the development of sugarcane production so that there is no longer sugarcane milling period and low yields which can lead to less than optimal sugar production. To overcome this, it is necessary to build a system that can help determine superior seed varieties in sugarcane. The Weighted Product (WP) method in a decision support system is a method of completion by using multiplication to link the attribute rating, where the attribute rating must be raised first with the weight of the attribute in question. This decision support system with the WP method was created to assist in the selection of high-yielding sugarcane varieties.
Kemampuan Mengubah Kalimat Simpleks Menjadi Kalimat Kompleks Siswa di Era Pandemi

This study aims to describe the ability to turn simplex sentences into complex sentences of students of SMK Negeri 1 Sonder in the pandemic era. This research was carried out at SMK Negeri 1 Sonder in class X E students majoring in marketing for the 2020/2021 academic year consisting of 20 students. The method used in this study is a qualitative descriptive method, which is intended to describe or describe existing phenomena, either natural phenomena or human engineering. The data collection techniques used in this study were observation, interviews and tests. The formula used to analyze the data in this study is a percentage table with the formula: % = n / N x 100. Based on the data management process, the results of the achievements of class X E students majoring in marketing at SMK Negeri 1 Sonder who have the ability to turn simplex sentences into complex sentences in the pandemic eraamounted to 82.75%. Based on this value, it means that class X E students of SMK Negeri 1 Sonder are able to turn simplex sentences into complex sentences in the pandemic era.
The Entrepreneurial Battlefield of Blockchain: Lessons From the Front

Many experts agree with the opinion that blockchain technology will bring about a revolution and create a new system of living, relating and doing business. What so far seems to be an experimental phenomenon, which is already producing results and creating high-value communities, may soon become a real social transformation. The case study presented here sheds some light on the blockchain reality, the importance of digital entrepreneurial talent, which seeks to take advantage of a situation in the country to develop a commercial project attractive to foreign investors. The authors analyze the key elements of the success of a Paraguayan company focused on high-tech operations. The authors venture to present an exploratory model of management in the blockchain world, in order to collaborate, cooperate and encourage the success of many future digital ventures.
STUDENTS’ ABILITIES IN WRITING DESCRIPTIVE TEXT AT GRADE SEVENTH STUDENTS OF SMP DAR AL-FALAH IN TANJUNGBALAI

&lt;p&gt;Writing is the most important skill that we should consider because the student must know how to write a text grammatically and correctly. Descriptive text is a piece of text that describes a place, person, or thing. This research was aimed to analysis of students’ difficulties in writing descriptive text at grade seventh students of SMP Daar Al-Falah in Tanjngbalai.. In this research, researcher uses the quantitative description data. The most problems faced by the students were grammar and organization with a total mean 75, 18. And based on the result of this research, there are 16 students who able in writing descriptive text by percentage 73%. And there are 6 students who unable in writing descriptive text by percentage 27, 27%. This suggested that teacher cold more improve their skill in the descriptive text in an interesting way or strategy. &lt;br /&gt;Keywords: Writing, Descriptive text,.&lt;/p&gt;&lt;p&gt; &lt;/p&gt;
Aplikasi Ruangan Maya Berbasis Android OS pada Headset Virtual Reality Oculus Quest 2

Metaverse and VR (virtual reality) technology brings a lot of benefits to some sectors of life, especially education because VR technology makes it possible for users to be placed in a simulation of a certain scenario or situation which helps with the user’s learning experience. The development of computer technology where computer components are much smaller in size, have better computational capacity, and low cost has made VR technology more available and offers more and more opportunities as computer technology develops even further. In order to take advantage of the increasing opportunity, a virtual room application based on Android OS for Oculus Quest 2 is developed in order to learn about virtual reality development workflow on a VR headset using Unity game engine. The features implemented in the virtual room app are locomotion control by teleportation and continuous movement, rotation by snap turning, interactable objects such as a mirror, grabbable objects which the user can hold in the virtual room, and sockets to place digital objects in the virtual room.&#x0D;
A Research on the Adaptive Dynamic Scheduling Based on Scenario Deduction

Aiming at the uncertainty of the intelligent manufacturing system, this paper reveals the evolution mechanism of the manufacturing system and its internal and external environment from a data-driven perspective. And it proposes an adaptive dynamic scheduling method based on scenario deduction, which provides the basis for the intelligent manufacturing support in an uncertain environment. Firstly, the paper uses the ontology to describe the scenario status, production activities, market environment and production subject of manufacturing system. And then builds the scenario deduction model based on the dynamic fuzzy cognitive map, establishing the data-driven manufacturing scenario network structure. Through the dynamic fuzzy cognitive map, it presents the market and production scenario evolution and accordingly guides the adaptive choice of dynamic scheduling strategy in uncertain production environment. The results show that the scenario deduction model is basically consistent with the manufacturing system evolution process in terms of time inference and demand prediction, and it verifies the adaptability and effectiveness of the proposed dynamic dispatching method through examples.
Road Image Recognition Technology based on Deep Learning Using TIDL NPU in SoC Enviroment

Deep learning-based image processing is essential for autonomous vehicles. To process road images in real-time in a System-on-Chip (SoC) environment, we need to execute deep learning models on a NPU (Neural Procesing Units) specialized for deep learning operations. In this study, we imported seven open-source image processing deep learning models, that were developed on GPU servers, to Texas Instrument Deep Learning (TIDL) NPU environment. We confirmed that the models imported in this study operate normally in the SoC virtual environment through performance evaluation and visualization. This paper introduces the problems that occurred during the migration process due to the limitations of NPU environment and how to solve them, and thereby, presents a reference case worth referring to for developers and researchers who want to port deep learning models to SoC environments.
Estimation of Zero-Inflated Population Mean with Highly Skewed Nonzero Component: A Bootstrapping Approach

This paper adopts a bootstrap procedure in the maximum pseudo-likelihood method under probability sampling designs. It estimates the mean of a population that is a mixture of excess zero and a nonzero skewed sub-population. Simulations studies show that the bootstrap confidence intervals for zero-inflated log-normal population consistently capture the true mean. The proposed method is applied to a real-life data set.
Retraction: Adaptive Temperature And Humidity Control System on Kumbung Mushroom using Fuzzy Neural Network Algorithm (IOP Conf. Ser.: Earth Environ. Sci. 980 012063)

This article has been retracted by IOP Publishing following an allegation that the work contains tortured phrases [1]. IOP Publishing has investigated and agrees the article contains a number of nonsensical phrases that feature throughout the paper, to the extent that the article makes very little sense. It suggests the article may potentially have been created at least partly by artificial intelligence or translation software. IOP Publishing wishes to credit the Problematic Paper Screener for bringing the issue to our attention. The authors have neither confirmed whether they agree or disagree to this retraction. [1] Cabanac G, Labbe C, Magazinov A, 2021, arXiv:2107.06751v1 Retraction published: 09 January 2023
Mesin Pendeteksi Uang Palsu Dengan Sensor LDR Berbasis Kecerdasan Buatan

Money is a very important thing for human life in meeting the needs of life, as a medium of exchange in payment for the buying and selling process. The importance of money causes some people to try to have as much money as possible, even in a way that is against the law like make and circulate counterfeit money. Counterfeit money is counterfeit currency that is produced without legal authorization and permission from the state or government. The circulation and manufacture of counterfeit money is very detrimental to the economy of the country and the small community because it is difficult to distinguish counterfeit money by naked eye and tools to detect counterfeit money are not commonly used and existing tools do not detect paper money through the holographic bars contained in banknotes. The purpose of this study was to determine whether banknotes were included in the original or counterfeit category using LDR sensors, ultrasonic sensors, UV lamps, lasers, and UV sensors. Ultrasonic function to read the distance, if appropriate, it will automatically turn on the UV lamp which will be captured by the UV sensor, so that the holograms on the banknotes can be clearly seen and the laser is used to illuminate the bars on the money if the laser does not penetrate and the light will be received by the banknote. LDR sensor that adjusts to a predetermined value range, the results can be seen on the LCD screen and hear the sound from the speakers. It is hoped that the existence of this money detector can be used to help people avoid the circulation of counterfeit money and develop it further
Detection of Radicalism Speech on Indonesian Tweet Using Convolutional Neural Network

The ease of disseminating information today is inseparable from the rapid development of information technology. Unfortunately, radical groups also use this condition to spread propaganda and recruit members through social media such as Facebook and Twitter. Therefore, detecting radicalism on social media is essential, given the ease with which information can be spread that can affect social media users. Several studies to classify radicalism speech have been carried out using machine learning algorithms such as K-Nearest Neighbor (KNN) and Support Vector Machine (SVM). However, only a few used the Indonesian language and even utilized a small dataset. This study proposed to detect radicalism speech in Indonesian tweets using Convolutional Neural Network (CNN) and Word2Vec as feature extraction. The dataset is a collection of Indonesian-language tweets obtained through tweet crawling. CNN modeling was conducted using several scenarios with the number of filter parameter values = 100 and 300, and kernel size parameter value = 3, 5, 7, 9. From the training process using the scenarios above, the most optimal model is obtained with parameter filters = 300 and kernel size = 7, producing the best accuracy of 87.87% and average accuracy of 86.93%. Based on the best model obtained, an evaluation was carried out on the test data, which resulted in an accuracy of 87.15%.
Sistem Pakar Untuk Mendiagnosa Penyakit Lupus dengan Metode Forward Chaining Menggunakan Web

Lupus disease can attack humans quickly. The initial symptoms that will arise are the same as common diseases such as high fever, prolonged thrush, and also hair will fall out and start to run out one by one until it will go bald, the form of red rashes that appear on the skin, excessive joint pain in the body, easily tired, weight loss, causing paralysis, there are many other symptoms. The lack of availability of a doctor and the limited knowledge of people in remote areas often make the initial diagnosis of the disease late, therefore the application of an expert system is considered very useful to help diagnose lupus early in view of the time and energy of an expert doctor. In the health sector there is an artificial intelligence called an expert system, which is a computer system that uses knowledge, facts and reasoning techniques in solving problems that can usually only be solved by an expert in their field. This study uses an expert system application method in making decisions using a forward chaining inference engine where the goal driven data will start a search on the initial node to the goal node until it gets results. From the diagnostic process, the system provides a selection of the symptoms experienced by the patient, resulting in CLE type lupus (Cutaneus Lupus Erythematosus)
Training on Making and Developing Learning Video Media Using Software Wondershare Filmora Against the History Teacher of SMA Negeri 3 Palu

Online learning implemented at SMA Negeri 3 Palu requires every teacher to change and innovate in their learning strategies, the use of appropriate media and support for online learning will determine the success of students' learning. The implementation of community service aims to provide knowledge to history teachers at SMA Negeri 3 Palu regarding the creation and development of learning video media using Wondershare Filmora software. This service activity was attended by history teachers and students, they were very enthusiastic in participating in service activities. The output produced is a learning video media developed by a history teacher that is in accordance with the direction and guidance of the service team with suggestions and input from students regarding interesting media to use in online learning.