The purpose of the research conducted is to find out and analyze the juridical study of corruption crimes in the implementation of the Complete Systematic Land Registration (PTSL) program and the ideal concept pursued by the government as an anti-corruption effort to be applied in the implementation of the Complete Systematic Land Registration (PTSL) program in the future. This research uses sociological juridical legal researc.The results of the study can be concluded that corruption crimes in PTSL begin with the identification of the causes of corruption crimes. In terms of law enforcement, it is related to efforts to prevent and eradicate corruption, whether or not law enforcement is successful depends on the components of the legal structure, legal substance, and legal culture.Law enforcement is described in several stages including pre-adjudication with the cooperation of the Pungli Saber Team which continues the process of investigating and investigating suspected perpetrators of corruption crimes by the police by including at least 2 (two) pieces of evidence, after the minutes of the results of the complete investigation (P21) then proceed to the prosecutor's office.The ideal concept pursued by the government in the future as an effort to implement an anti-corruption program consists of external and internal concepts, in addition to that government steps are needed to evaluate, update, and/or change.The suggestion this research is that it is hoped that the first land registration program based on PTSL which is carried out en masse which is intended for all economic groups can be carried out smoothly for the orderly order of national land law to ensure legal certainty and legal protection for owners of rights to a plot of land. Tujuan dalam penelitian yang dilakukan untuk mengetahui dan menganalisa kajian yuridis tindak pidana korupsi) dan penanganan pencegahan pelaksanaan Pendaftaran Tanah Sistematis Lengkap (PTSL) Penelitian ini menggunakan penelitian hukum yuridis sosiologis. Hasil penelitian dapat disimpulkan bahwa tindak pidana korupsi dalam PTSL dimulai dengan  adanya identifikasi penyebab terjadi tindak pidana korupsi. Pelaksanaan PTSL sendri banyak dtemukan unsur tindak pidana koruspi seperti adanya pungutan liar dan gratifikasi.  Salah satu upaya pencegahan tindak pidan korupsi dalam PTSL melalui kerja sama dengan Tim Saber Pungli. Konsep ideal yang ditempuh pemerintah pada masa yang akan datang sebagai upaya program anti korupsi terdiri dari konsep eksternal dan internal, selain itu diperlukan langkah pemerintah untuk melakukan evaluasi, pembaharuan, dan/atau perubahan. Saran yang digunakan oleh penlitian ini adalah diharapkan progam pendaftaran tanah pertama kali berdasarkan PTSL yang dilakukan secara massal yang diperuntukkan kepada semua golongan ekonomi dapat terlaksana dengan lancar demi tertibnya hukum pertanahan nasional guna menjamin kepastian hukum dan perlindungan hukum bagi pemilik hak atas suatu bidang tanah.  

The study aims to analyze the validity and legal protection of partnership agreements in construction services. A construction service job will require legality in the form of an agreement between the parties, namely the employer and the service provider. This research provides information on how to Arrange a construction services partnership agreement. This research uses normative juridical research methods. The result of this study is that to avoid deviations in the process of drafting a partnership agreement, it should be necessary to involve the opinions of experts in the hukkum profession such as Notaries or Advocates. The existence of a partnership agreement as an effort to protect the law. The validity of the construction services partnership agreement that the necessity of the partnership agreement must be made in writing and not contrary to the applicable rules. The ideal partnership  agreement is a balanced agreement in containing the rights and obligations of the parties. The form of partnership agreement that is often used in construction services is in the form of sub-contract and join operating cooperation (KSO).Penelitian bertujuan untuk menganalisis mengenai keabsahan dan perlindungan hukum perjanjian kemitraan di jasa konstruksi. Suatu pekerjaan jasa konstruksi akan membutuhkan legalitas berupa perjanjian daiantara para pihak yaitu pemberi kerja dan penyeida jasa. Penelktian ini memberikan informasi tentang bagaimana Menyusun suatu perjanjain kemitraan jasa konstruksi. Penelitian ini  menggunakan metode penelitian yuridis normatif. Hasil penelitian ini yaitu bahwa untuk menghindari adanya penyimpangan dalam proses penyusunan perjanjian kemitraan sebaiknya perlu melibatkan pendapat dari para ahli profesi hukkum seperti Notaris atau Advokat. Adanya perjanjian kemitraan sebagai upaya perlindungan hukum. Keabsahan perjanjian kemitraan jasa konstruksi bahwa keharusan perjanjian kemitraan harus dibuat secara tertulis dan tidak bertentangan dengan aturan yang berlaku. Perjanjian kemitraan yang ideal adalah perjanjian seimbang dalam memuat hak dan keawajiban para pihak. Bentuk perjanjian kemitraan yang sering digunakan di jasa konstruksi yaitu yang berbentuk sub kontrak dan kerja sama operasi (KSO).   

The main problem in this study is how culture encourages achievement motivation of students studying Social Sciences and how the form of achievement motivation of students learning Social Sciences in class V UPT SDF Negeri Kakatua. This study aims to find out the form of learning in encouraging student achievement motivation in social studies and to find out the form of achievement motivation of fifth grade students at UPT SDF Negeri Kakatua.
This type of research is qualitative research and uses a qualitative descriptive approach. The subjects in this study were 2 class teachers and 5 students of class V UPT SDF Negeri Kakatua. Data collection techniques using: observation, interviews, and documentation. While the validity of the data in this study uses source triangulation.
The results of the study show that: (1) the student learning culture has been implemented by the teacher who teaches in the class (2) student achievement motivation is important in achieving learning achievement The teacher's role is very important to improve student achievement by providing achievement motivation.
Based on the results of the research above, it can be concluded (1) Student learning culture is something that needs to be implemented by teachers and carried out by students to support student behavior at school and outside school (2) achievement motivation needs to be given to students to support student achievement and student learning outcomes .

Human Computer Interaction (HCI), a growing research field in science and engineering, aims to provide a natural way for humans to use computers as tools. Humans prefer to interact with each other mainly through speech, but also through facial expressions and gestures, for certain parts of the speech and displays of emotions. The identity, age, gender, and emotional state of a person can be obtained from his face. The impression we receive from the expression reflected on the face affects our interpretation of the spoken word and even our attitude towards the speaker himself. Although emotion recognition is an easy task for humans, it still proves to be a difficult task for computers to recognize user`s emotional state. Advances in this area promise to arm our technological environment by means for more effective interactions with humans, and hopefully the impact of facial expressions on cognition will increase rapidly in the future. Will do. In recent years, the adoption of digital has increased rapidly, and the quality has improved significantly. Digital printing has resulted in fast delivery and needs-based costs. This article describes a sophisticated combination classifier approach, an empirical study of ensembles, stacking, and voting. These three approaches were tested on Nave Bayes (NB), Kernel Naive Bayes (kNB), Neural Network (NN), Auto MultiLayer Perceptron (Auto MLP), and Decision Tree (DT), respectively. The main contribution of this paper is the improvement of the classification accuracy of facial expression recognition tasks. In both persondependent and nonpersondependent experiments we showed that using a combination of these classifier combinations gave significantly better results than using individual classifiers. It has been observed from experiments that the overall voting technique by voting achieves the best classification accuracy.

Peer-to-peer systems nowadays are widely used because of the scalability and high reliability. File replication and consistency maintenance are widely used techniques to achieve high system performance. These techniques are connected to each other. The connection of these techniques is consistency maintenance is needed in file replication to keep the consistency between a file and the replicas. Traditional file replication and consistency maintenance methods need a high cost. The usage of IRM (Integrated file Replication and Consistency Maintenance inP2P systems) which will achieve high efficiency at a significantly lower cost can be used to solve this problem. IRM reduces redundant file replicas, consistency maintenance overhead, and unnecessary file updates.

Human Computer Interaction (HCI), a growing research field in science and engineering, aims to provide a natural way for humans to use computers as tools. Humans prefer to interact with each other mainly through speech, but also through facial expressions and gestures, for certain parts of the speech and displays of emotions. The identity, age, gender, and emotional state of a person can be obtained from his face. The impression we receive from the expression reflected on the face affects our interpretation of the spoken word and even our attitude towards the speaker himself. Although emotion recognition is an easy task for humans, it still proves to be a difficult task for computers to recognize user`s emotional state. Advances in this area promise to arm our technological environment by means for more effective interactions with humans, and hopefully the impact of facial expressions on cognition will increase rapidly in the future. Will do. In recent years, the adoption of digital has increased rapidly, and the quality has improved significantly. Digital printing has resulted in fast delivery and needs-based costs. This article describes a sophisticated combination classifier approach, an empirical study of ensembles, stacking, and voting. These three approaches were tested on Nave Bayes (NB), Kernel Naive Bayes (kNB), Neural Network (NN), Auto MultiLayer Perceptron (Auto MLP), and Decision Tree (DT), respectively. The main contribution of this paper is the improvement of the classification accuracy of facial expression recognition tasks. In both persondependent and nonpersondependent experiments we showed that using a combination of these classifier combinations gave significantly better results than using individual classifiers. It has been observed from experiments that the overall voting technique by voting achieves the best classification accuracy.

Peer-to-peer systems nowadays are widely used because of the scalability and high reliability. File replication and consistency maintenance are widely used techniques to achieve high system performance. These techniques are connected to each other. The connection of these techniques is consistency maintenance is needed in file replication to keep the consistency between a file and the replicas. Traditional file replication and consistency maintenance methods need a high cost. The usage of IRM (Integrated file Replication and Consistency Maintenance inP2P systems) which will achieve high efficiency at a significantly lower cost can be used to solve this problem. IRM reduces redundant file replicas, consistency maintenance overhead, and unnecessary file updates.

Accurate weather forecasts play an important role in today's world as various sectors such as marine, navigation, agriculture and industry are basically dependent on weather conditions. Weather forecasts are also used to predict the occurrence of natural disasters. Weather forecasting determines the exact value of weather parameters and then predicts future weather conditions. In this study the parameters used are. Different weather parameters were collected from the Serang Maritime Meteorological Station and then analyzed using a neural network-based algorithm, namely Long-short term memory (LSTM). In predicting future weather conditions using LSTM neural networks are trained using a combination of different weather parameters, the weather parameters used are temperature, humidity, rainfall, and wind speed. After training the LSTM model using these parameters, future weather predictions are performed. The prediction results are then evaluated using RMSE. Prediction results show that the model is more accurate when predicting temperature data with RMSE 0.37, then RMSE wind speed 0.72, RMSE sunlight 2.79, and RMSE humidity 5.05. This means that the model is very good at studying weather data, inversely proportional to humidity data.

Every nation faces increasingly complex challenges. Differences every day meet us. The purpose of this study is to learn from the implementation of multicultural education in four countries. This study uses a qualitative approach with content analysis techniques. The data source comes from 12 English articles obtained from scopus.com with the keywords "Multicultural Indonesia", "Multicultural Singapore", "Multicultural Malaysia", and "Multicultural Thailand". The findings of this study are that multicultural implementation can be carried out through policies and policy practices that must be consistent; the use of real multiculturalism practices; the use of universal values of culture and religion that exist in their respective societies; the use of multicultural music, and the use of the Education curriculum. The results of this study can be used for discussion on the issue of more effective multicultural implementation

Penelitian ini melatarbelakangi pengguna internet di Indonesia, dimana internet sudah sangat berkembang menjadi suatu tempat untuk pasar global yang cukup luas untuk perdagangan, munculah sebuah sistem baru yaitu E-commerce. Sebagai suatu E-Commerce besar Indonesia yaitu tokopedia. Tokopedia didirikan sejak 2009, tokopedia mampu menyediakan suatu sarana penjualan kepada customer untuk customer sehingga siapa pun bisa membuka toko online milik sendiri yang mampu melayani calon pembeli di seluruh Indonesia dan memiliki fasilitas untuk mempertemukan penjual dengan pembeli, memberikan informasi dari customer ke customer, sarana mencari referensi produk. Produk yang dapat dijual pada Tokopedia merupakan barang baru yang dijual dengan harga yang sudah ditentukan oleh tokopedia sendiri. Tujuan dari penelitian ini untuk dapat mengetahui pengaruh dari dimensi-dimensi tersebut terhadap kepuasan para pelanggan dengan melihat kepada setiap indikator yang ada pada Service Quality beserta besaran dari pengaruh terhadap kepuasan pelanggan Tokopedia di kabupaten karawang. jenis penelitian yang dipakai yaitu jenis penelitian kuantitatif, data yang dikumpulkan dengan cara menyebar kuisioner dan di olah dengan menggunakan IBM SPSS statistic. Hasil penelitian ini dapat menunjukan bahwa tingkat kepuasan pelanggan signifikan.