Reviewerly/exHarmony huggingface dataset:
Pemetaan Kerentanan Tingkat Kriminalitas Menggunakan Metode Self Organizing Map

The crime rate in an area can be a serious problem and can endanger the safety and welfare of the community. One important aspect in handling crime problems is understanding and disclosing patterns and characteristics of criminal incidents. This understanding is the basis for formulating effective crime prevention and control policies. Methods that have been widely used include Self-Organizing Map (SOM). Self-Organizing Mapping (SOM) was introduced in 1982 by Teuvo Kohonen as an unsupervised learning method. SOM can perform fairly valid and unbiased mapping, allowing it to map feature-based datasets through self-organization rules. The SOM architecture or what is often called a coherent network is a network consisting of two layers, namely the input layer and the output layer. Every neuron in the input layer is connected to every neuron in the output layer. Each neuron in the output layer interprets the class of the input provided. Based on the research results, it was found that it was certain that the best cluster was in cluster 2 for districts/cities in the Special Region of Yogyakarta, Central Java and East Java. Cluster 1 consists of 15 districts/cities, and cluster 2 consists of 63 districts/cities
Efektivitas Media Cangkang Kerang dalam Menurunkan Kadar Besi (Fe) dengan Metode Slow Sand Filter (SSF)

Currently, the presence of shellfish waste is increasing but its utilization is still lacking. As much as 66.70% of calcium carbonate is contained in clam shells. This content can reduce iron levels. This research purpose to compare the effectiveness of reducing iron in well water using silica sand and shellfish media. The size of the media is 0.15 mm-0.45 mm. This research used silica sand 60 cm and variations of the clam shell media in the thickness, is 30, 20 and 10 (cm). Apart from that, also uses variations in sampling time on an hourly scale, is 1, 12, 24, 36, 48 (hours). The research results is showed that the average reduction iron, in the sand reactor was 37.09%, in the 30 cm clam shell reactor was 88.64%, in the 20 cm clam shell reactor was 78.45%, and in the 10 cm clam shell reactor was 68 .82%. This research shows that the influence of the thickness of the clam shell media is directly proportional to the decrease in iron levels that occurs.
Analisis Metode Magnetik pada Daerah Manifestasi Panas Bumi Karangrejo, Kabupaten Pacitan

Geothermal energy is one of the natural resources found in Pacitan Regency, alongside mining and geotourism. Geothermal manifestations in Pacitan Regency take the form of hot springs located at two points: Tinatar in the Punung District and Karangrejo in the Arjosari District. This research primarily focuses on magnetic measurement methods at the Karangrejo hot spring manifestation to provide information about its subsurface geological conditions. Data acquisition was conducted using 2 Proton Precision Magnetometers (PPM) of the Geotron G-5 brand as both base and rover instruments. The acquired data was processed with diurnal correction, IGRF correction, separation of residual-regional anomalies, and Reduce to Pole (RTP) transformation. The research results show magnetic anomaly variations in the study area ranging from -220 nT to 200 nT. Some geological structures that could potentially be associated with the Karangrejo hot spring manifestation are north-south trending faults and northeast-southwest trending faults, while the lithology of the study area is dominated by kaolin alteration and andesite rocks. It is estimated that the Karangrejo geothermal system is a fault-hosted geothermal system resulting from fault activity.
Desain Pembelajaran Terintegrasi Mitigasi Bencana Banjir Melalui Pendekatan Science, Technology, Engineering, Mathematic And Society

The aim of the research is to design natural science learning integrated with flood disaster mitigation to equip students with an attitude of disaster preparedness. Research is a type of descriptive qualitative research. Data collection techniques through interviews and library research (library research). The results of this study, namely the natural science learning design material Global Warming which is integrated through flood disaster mitigation. The learning design uses the Science, Technology, Engineering, Mathematics and Society (STEMS) approach and the Project Based Learning (PjBL) learning model. Through the STEMS approach, students are trained to think critically, creatively, and be able to solve problems by applying science, mathematics and technology. Furthermore, with the PjBL learning model students are directed to design and design flood-free houses as a flood preparedness effort. The use of the STEMS approach and the PjBL learning model can improve students' cognitive, affective and psychomorphic abilities, to equip students with an attitude of early preparedness for disasters.
https://www.ecorfan.org/handbooks/Handbooks_Computer_Technology_and_Innovation_TI/Handbooks_Computer_Technology_and_Innovation_TI_2.pdf

In the animation industry there are different techniques that allow the creation of audiovisual content such as 3D, 2D, Stop Motion animation, etc. In the case of 3D animation, this consists of a process where everything is made of digitally encompassing the creation of characters, settings, objects and the animation itself. In the first stage of a 3D production, it is not required to use highly capable computing equipment until the final stage known as post-production. At this stage, all the elements that will make up the animation are brought together so that it can be approved and distributed on digital platforms. When trying to unite all the elements that make up the animation, they go through a process called rendering that allows us to obtain photo-realistic images and which in turn gives us the final product of the finished animation, for this stage it is no longer possible work with home computing equipment since even the most powerful computers on the market present problems or difficulties when rendering this type of projects. Faced with this problem, many studios and companies resort to the use of so-called “Rendering Farms” or “Clusters”, which consist of the parallel connection of several computing devices, thus achieving that they work as one, allowing greater power and efficiency when it comes to rendering perform tasks that require a lot of processing. Knowing this, the goal of this work is to create a render farm that allows emerging production houses with low resources to implement this tool, helping them complete animation projects that contain complex compositions or that require computing power to render these works
Interactive E-Book Model Based on Local Wisdom as a Media for Learning Exposition Text Reading Skills

This study aims describes the process of designing an interactive e-book model based on the local wisdom of Minangkabau culture. This type of research is mixed methods or commonly known as mixed research methods. The mixed model used is a 4-D model consisting of four stages, namely define, design, develop, and disseminate. This research was conducted on students of class X of State High School 2 Padang. Innovative learning media are indispensable by students to be used independently in the learning process Indonesian. Therefore, research in interactive e-book models is used as one of the alternatives to overcome the limitations of learning media in exposition text reading skills. The results of this study describe the making of an interactive e-book model based on local wisdom of exposition text reading skills with a validity value of 94.44% with a very valid category. Based on the feasibility aspect of content obtained validity value of 97.50% with a very valid category. Based on the aspect of eligibility of validity, obtained a validity value of 89.28% with a very valid category. Based on the results of the study, it can be concluded that the interactive e-book for reading skills reading the exposition text of students of class X is valid and can be continued to the next stage.
Pojok Literasi Sekolah Sebagai Wadah Untuk Meningkatkan Kualitas Pendidikan di SDN 065011 Medan

MBKM is a self-contained and versatile mode of higher education learning designed to create a non-restrictive creative learning community that meets the needs of students. Where the aim of this program is to assist teachers in implementing face-to-face learning, technology adaptation, and school administration, especially school literacy and numeracy. One of the main programs implemented in the target schools is literacy activities due to the low level of literacy at Sdn 065011 Asam Kumbang Medan. Literacy is the quality or ability to be literate/literate which includes the ability to read and write. So to solve this problem, there are several literacy learning activities or methods that I apply to students, especially in Class 5A, namely the first of course is to create a literacy corner in the class with various types of reading books, then carry out silent reading activities, learn to write an essay as well as fiction and non-fiction stories, storytelling in class, drawing, learning public speaking, and watching movies and learning to listen to every vocabulary. With this program, students' interests and talents in literacy are increasingly visible, where reading and writing are getting better and smoother than before. It is hoped that this literacy activity can continue and be implemented by teachers in every class, that way the literacy level of the Sdn 065011 school will improve and be of better quality.
Implementation of Convolutional Neural Network and Vincenty Formula on Face Attendance System Web-Based for Managing the Attendance

The level of student attendance at tertiary institutions has a crucial role in determining the quality of education. The Information Technology Department at Padang State Polytechnic realizes the urgent need to increase the efficiency of managing student attendance, which currently still relies on a manual attendance system. As an innovative solution, this research proposes designing a face-based attendance system that utilizes facial recognition technology to verify student attendance automatically. One of the challenges in developing a face-based attendance system is the accuracy of calculating the distance between the student's location and the institutional location. To overcome this problem, the research used the Vincenty Formula method which was proven to have a high level of accuracy in calculating the distance between two points on the earth. The integration of this method is expected to increase the accuracy of calculating the distance between the student's location and the institution. Apart from that, this attendance system adopts the Convolutional Neural Network (CNN) algorithm, an algorithm specifically designed to process two-dimensional data. CNN is used to learn and detect features in images so that facial recognition can be done with a high level of accuracy. This approach is expected to improve system performance in recognizing and verifying student attendance.
Implementation of Traffic Monitoring Technology Using Smart Surveillance in Intelligent Transportation System

Currently transportation is very attached to human life, almost every family and even every adult human being has a vehicle as a means of transportation. Based on this, a conclusion can be drawn that population growth will trigger an increase in the number of vehicles in Indonesia. The implementation of Traffic Monitoring Using Smart Surveillance in the Intelligent Transportation System is research on information and communication technology in the transportation system in order to increase mobility, reduce congestion resulting from the buildup of vehicles in one lane, and be taken into consideration by road users before crossing a road section. This system uses the Background Subtraction method, and object detection. This system was created by utilizing OpenCV and Python programming language. This research obtained an accuracy of 93.1% on camera A and 93.5% on camera B in calculating passing vehicles in the test using simulations monitored via cameras in real time.
Building a Model of Organizational Activities Experience in Natural Sciences under Stem Education Orientation

STEM educational-oriented Natural Science experience activities are learner-oriented activities, Taking learners as the center in all natural science research activities, applying engineering technology and mathematics (STEM) in solving practical problems. Based on theoretical research on experiential activities, STEM education, and the characteristics of Natural Sciences, the article studies the educational forces inside and outside the school. From there, it is proposed to build a model of organizational structure for experiential activities in Natural Sciences oriented toward STEM education. The results of this research are meaningful in helping principals see the importance and significance of coordinating educational forces inside and outside the school in organizing experiential activities in Natural Sciences according to orientation. STEM education for students.
Study Tide Dynamics and Impact of Coastal Floods on the Settlement Areas of Batam City

Batam City, strategically located as an economic and industrial center in the Riau Islands province, Indonesia, faces challenges stemming from rising sea levels due to climate change and unusual tidal patterns. These factors lead to recurrent coastal flooding and create new issues for coastal areas. This research project has three primary objectives: tidal forecasting, tidal flood hazard mapping, and vulnerability assessment of infrastructure and settlements in Batam City's coastal areas. To achieve these goals, a combination of methods is employed. Tidal forecasts rely on a semimean linear trend approach. Spatial flood analysis considers the Hloss scenario, with the loss distance referring to the peak of the sea flood. Additionally, losses resulting from coastal flooding disasters were assessed using the Economic Commission for Latin America and the Caribbean (ECLAC) budget base planning (RAB) method. The research results reveal that the Batam area experiences two semidiurnal tides with dynamic sea level fluctuations, reaching a peak flood height of 2 meters. Spatial analysis identified several areas affected by tidal flooding, particularly densely populated coastal areas such as Batuaji, Batuampar, Sekupang, and Bengkong subdistricts. These areas, characterized by tidal flats, are particularly vulnerable to significant coastal flooding during high tide. The impact extends to key infrastructure, including roads, mosques, housing, and social facilities, resulting in estimated losses. The number of buildings affected by flood on Batam City is 12,681 units, and the flood affected area covers approximately 10,975.76 hectares, with road infrastructure costs amounting to about US$337,131.36. Field investigations also reveal that several settlements in the region have initiated flood protection measures. However, many settlements are still directly affected, underscoring the immediate need to improve environmental quality in this area.
Penerapan Algoritma C4.5 dengan Optimasi Particle Swarm Optimization untuk Prediksi Kelulusan Mahasiswa

College is a place for students to pursue higher education. Both state and private universities compete to be the best universities to produce the best graduates. The number of student graduates is an indicator of the success of a higher education institution, which will have an impact on government accreditation and public assessment. The aim of this research is to predict student graduation in order to know whether they will graduate on time or late by applying data mining techniques, namely classification using the C4.5 algorithm to obtain patterns of student graduation delays and the particle swarm optimization (PSO) algorithm to increase the accuracy of the C4 algorithm. 5. Testing uses cross validation tests, confusion matrix and ROC curve. The results of this research are that the C4.5 algorithm with particle swarm optimization (PSO) has an accuracy value of 86.72%, which is better than the C4.5 algorithm, whose accuracy is 82.05% and the difference between them is 4.67%. The difference between the AUC value of 0.033 was obtained from the C4.5 algorithm model, which had an AUC value of 0.870 with a good classification diagnostic level, and the C4.5 algorithm with PSO had an AUC value of 0.903 with an excellent classification diagnostic level. IPS3 is the attribute that most influences the accuracy of student graduation. The results of the C4.5 algorithm rule with PSO can be applied to create applications for GUI-based student graduation predictions.
Terapan Metode Least Significant Bit untuk Deteksi Keaslian e-Sertifikat

The ease of accessing digital information allows a person to change or manipulate the data contained in the information. Therefore, the security of information or vital data from intruders or unauthorized access is important. One of the cases that are currently happening is the distribution and falsification of information through fake e-certificates. The purpose of this study is to improve security, and check the authenticity and validity of data on e-certificates using steganography techniques with the Least Significant Bit (LSB) method. Steganography is used to disguise confidential information in digital media so that confidential information is difficult to detect by unauthorized parties. The image on the certificate in the form of a pdf file will be inserted with information to validate whether the certificate is genuine or not, by reading the pixels in the image in the file. In this study, the data to be inserted is in the form of a checksum value in the form of 32 hexadecimal characters and also e-certificate information in the form of a JSON string. The results of this study are a website-based application that is capable of checking the authenticity of e-certificates.
Sistem Pakar Diagnosa Penyakit Berisiko Di Setiap Status Gizi Berdasarkan Indeks Massa Tubuh Menggunakan Metode Hy-brid Case Base

Nutritional status is an indicator of health for a person which is divided into four classifications, namely, Obesity, Overweight, Normal Weight, and Underweight. and nutritional status can be obtained by calculating the body mass index (BMI) of the person by dividing the body weight (kg) by the height (m 2 ). after knowing the nutritional status, a diagnosis can be made by applying the Hybrid Case Base method. Applicationing of this method is too precise because it can provide accurate diagnostic results because this method combines two methods, namely Case Based Reasoning and Rule Based Reasoning. With this expert system, it can help people to find out their nutritional status and whether they have a risky disease or not, especially for people who don't have a lot of free time to consult with doctors so they can do it only by using the expert system that has been created. This method is quite fast and practical and provides accurate diagnostic results as well.
Machine learning for sentiment analysis in social networks data: Advances and perspectives

Sentiment analysis is a field of study within artificial intelligence aimed at comprehending opinions and emotions expressed in natural language, such as texts published on social networks. Social networks are understood as online technologies, tools, and applications that allow users to generate content, share and exchange information, and create interpersonal and communal relationships through the Internet
Perancangan Sistem Otomatis Pemberi Pakan Ikan Berdasarkan Usia Berbasis IoT

Cultivating catfish uses an artificial pond which is in great demand among the community. Most of the people who have jobs other than breeders choose this job to increase their income. Today's technological developments and advancements have a significant impact on how human society conducts every action. The authors created a program and were interested in using the term "Design of Automatic Catfish Feeders Based on IoT-Based Age" based on the background described above. This tool system makes use of the NodeMCU ESP8266 microcontroller, which performs dual roles as a WI-FI network receiver and a data processor for a WI-FI network system. This tool system uses the RTC module as a time reader to provide fish feed automatically in the morning and evening and this tool system can then be controlled using a smartphone and the NodeMCU application to provide feed using the IOT system.
Pelatihan Penggunaan Artificial Intelligence (AI) Terhadap Perkembangan Teknologi Pada Pembelajaran Siswa Sma 10 Sukarami Kota Bengkulu

Artificial Intelligence refers to the ability of computer systems to perform tasks that normally require human intelligence, such as natural language processing, decision making, experiential learning, and other cognitive tasks. In many cases, the use of AI technology in learning requires good access to hardware and internet networks. However, not all students have equal access to the necessary devices and connections. This could deepen the educational gap between students who are able to access technology and those who are not. There are also Supervised Machine Learning Research methods, Deep Learning, NLP, and many more. With training in the use of AI for students, it has opened a new leaf for students where the existence of AI has helped students find information quickly and more easily, and with this AI has had a big impact on students and students. Artificial Intelligence (AI) has opened the door to a technological era that is changing the way we interact with the world. The development of AI has affected many aspects of life including industry, education, health, and others. With the ability to process big data, identify complex patterns, and make decisions automatically, AI has helped address challenges and provide new opportunities. However, these developments also present new challenges, such as ethics, data privacy and impact on employment. Seeing the potential for AI to change the job landscape, it is important for individuals to keep their skills up to date. Ongoing training in technology, data analysis, and programming can help prepare people for the more automated jobs of the future.
Meningkatkan Minat Belajar Literasi, Numerasi dan Pendidikan Karakter dengan Metode Groupwork

Education is an effort to prepare for the future. Learning is an absolute process that every human being undergoes. Interest in learning is important as a driver of learning. Interest in learning is an important factor in realizing quality education. Today, in Indonesia there are still many problems related to interest in learning. This of course must be a concern. In line with this, the purpose of this writing is to increase interest in learning by developing literacy, numeracy, and character education in students to be able to provide assistance in the midst of problems related to interest in learning. The location of the fieldwork practice carried out by the author is at UPT SDN 060902 Medan City Jln. Mangkubumi with a total of 19 students. This activity time lasts for 3 months. The method used in this study is the Groupwork method with stages (1) Assessment, (2) Planning, (3) Intervention, (4) Evaluation, and (5) Termination. The results of this activity show an increase in students' interest in learning. At the beginning of the meeting, the author found difficulties in increasing students' interest in learning but increasing in each meeting.