This study aims to examine the criminal law provisions governing the arrest of Ananda Badudu as a crowdfunding-based fundraiser, as well as the criminal law defenses for Ananda Badudu as a crowdfunding-based fundraiser. The novelty of this study is to analyze the legal protection of the Anand Badudu case as a fundraiser on student protest in 2019. This study was conducted utilizing a normative legal approach. The result of this research are: The arrest of Ananda Badudu by the police was an arbitrary act as it was not in accordance with the provision contained therein The Code of Criminal Procedure as well as the Chief of Police Regulation that has resulted in a violation of human rights. That act alone is considered arbitrary and Ananda Badudu must get legal protection in accordance with the laws and regulations. One of the grounds why legal protection must be pledged is to create legal certainty.Penelitian ini bertujuan untuk mengkaji mengenai ketentuan hukum pidana tentang penangkapan Ananda Badudu sebagai penggalang donasi berbasis crowdfunding dan mengkaji tentang perlindungan hukum pidana terhadap Ananda Badudu sebagai penggalangan donasi berbasis crowdfunding. Kebaharuan penelitian ini adalah untuk menganalisis perlindungan hukum kasus Ananda Badudu sebagai fundraiser dalam kegiatan crowdfunding pada aksi mahasiswa tahun 2019. Penelitian ini menggunakan pendekatan yuridis empiris. Hasil penelitian ini adalah sebagai berikut: Penangkapan yang dilakukan oleh polisi terhadap Ananda Badudu tidak sesuai dengan prosedur yang sudah diatur di dalam undang-undang baik di dalam KUHAP maupun Perkapolri, sehingga menyebabkan suatu pelanggaran hak asasi manusia dan merupakan perbuatan sewenang-wenang serta Ananda Badudu harus mendapatkan perlindungan hukum sesuai dengan peraturan perundang-undangan. Salah satu alasan mengapa perlindungan hukum harus diberikan ialah agar menciptakan suatu kepastian hukum.      

This study examines the impression of performance appraisal and organizational structure as a correlation of school teacher performance in the Special Region of Yogyakarta. The population of this study consisted of 13,039 public secondary school teachers  in the Province of the Special Region of Yogyakarta. By using simple random sampling technique, as many as 440 respondents. Three (3) questionnaires developed by the researcher; entitled: Organizational Structure Questionnaire (OSQ), Performance Assessment Impression Questionnaire (PAIQ), and Teacher Performance Questionnaire (TJPQ) with reliability coefficients of 0.73, 0.69 and 0.76 were used for data collection. It was found that there was a significant relationship between organizational structure and teacher performance in public secondary schools in the Special Region of Yogyakarta in the order (r = 0.191, P<.05). It was also found that there was a significant relationship between performance appraisal impressions and the performance of public secondary school teachers in the Special Region of Yogyakarta in the order (r = 0.112, P<.05). There is a significant joint contribution of the independent variables (organizational structure and impression of performance appraisal) to the dependent variable (performance of public secondary school teachers); R = 0.457, P < 0.05. It was further revealed that {32.0% (Adj. R2 = 0.320)} that about 33% of the variance in the performance of public secondary school teachers was due to a linear combination of organizational structure and performance appraisal impressions. Organizational structure and performance appraisal impressions were found to be significant and highly determine the performance of school teachers with a P value of less than 0.05 and the magnitude of the organizational structure (ÿ = 0.265, t = 5.328, P<.05) and performance appraisal impressions (ÿ = 0.193, t). = 3.644, P<.05). 

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.

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.

<p class="Abstract">Sweet potato is a source of carbohydrates which is an alternative food in order to accelerate food diversification. This is due to the high productivity of sweet potato so it is very profitable to cultivate. Sweet potato has many varieties, one of the differences is observed based on leaf shape which has four kinds of leaf shape, namely cordate, lobed, triangular and almost divided. The problem that often occurs is that many varieties have similarities, causing difficulties in distinguishing sweet potato varieties, especially for novice farmers. To overcome this problem, the researchers created a digital encyclopedia of sweet potato varieties based on leaf shape using computer vision. The parameters used are area, perimeter, metric, length, diameter, ASM, IDM, entropy, contrast and correlation at angles of 0 °, 45 °, 90 ° and 135 °. The amount of data used is 256 training data and 40 testing data. The K-Nearest Neighbor method is able to classify sweet potato leaf images for digital encyclopedias with an accuracy of 95% with variations in the values of K = 23 and K = 25.</p>

Feasibility study is the tool that is able to be consideration materials in making the decisions to receive or reject the investment proposed in developing or establishing the project/business planning. The research about analysis of business feasibility, instead of to know whether it is feasible or not of the value of investment criteria, it is also to know the amount of investment funds that needed, the existing market share, and any constraints that will be possible to occurs in the process of establishing that type of business. As for the objectives that will be obtained from this research is to conduct the analysis of business feasibility as viewed from several aspects, that are financial aspect, and social aspect.

The growth of the mainstay area in Central Java is expected to be able to provide a positive break-even for the economic growth of the surrounding area or the area behind it (hinterland), through civilizing the sector or sub-sector base as a driver of the regional economy and economic linkages between regions. The main objective of the mainstay area is to accelerate development. The city of Salatiga which is the goal of this service and research based on its location has a strategic location.

Teachers' literacy teaching creativity is the ability of teachers to constantly develop literacy materials or lesson materials and be able to create an interesting and active atmosphere and be able to modify lessons.  Creativity development in literacy learning is also very important and teachers are required to demonstrate and show the creativity process. One alternative that teachers can do is to create, compile and develop effective, efficient and creative literacy teaching materials.  This study aims to determine the development of teacher creativity in making reading, writing and counting teaching materials. The method used was descriptive qualitative method. The research subjects were teachers in Cimanggu sub-district. The results of this study indicate that: creative teachers are teachers who are able to develop pedagogical skills, namely being able to compile more varied teaching materials. In addition, they are able to improve pedagogical skills in developing reading, writing and counting literacy teaching materials so that learning becomes more innovative and effective. The development of quality literacy teaching materials can support human resources who are more competent, creative, productive and have high fighting values to face the era of globalization.

<p>Beberapa perusahaan telah mengurangi upaya perekrutan secara massal dan diskusi secara langsung untuk menanggapi pandemi Covid-19 salah satunya PT Es Teh Indonesia Makmur. Penelitian ini bertujuan untuk: (1) Mengetahui media job posting dan penerapan proses rekrutmen melalui media sosial, meliputi: tahapan-tahapan serta kualifikasi dan kompetensi yang dibutuhkan pada PT Es Teh Indonesia Makmur (2) Mengetahui efektivitas metode rekrutmen melalui media sosial dalam upaya mereduksi dampak pandemi Covid-19, dan menjelaskan perbandingan metode E-Recruitment dengan metode rekrutmen offline pada PT Es Teh Indonesia Makmur. Efektivitas Metode Rekrutmen melalui Media Sosial dengan pengumpulan data pustaka dan observasi menunjukkan hasil bahwa sistem rekrutmen elektornik pada tenaga kerja tepat digunakan untuk memfasilitasi dan meningkatkan manajemen sumber daya manusia di era Covid-19. Hal ini didukung dengan adanya peningkatan pelamar kerja yang kompeten dan PT Es Teh Indonesia Makmur dikenal semua kalangan sehingga mampu membuka lapangan pekerjaan lebih dari 150 outlet dalam waktu kurang dari satu tahun.</p><p><strong><em>Several companies have reduced mass recovery efforts and in-person discussions, for the Covid-19 pandemic password, one of which is PT Es Teh Indonesia Makmur. This study aims to: (1) Know the media for posting jobs and the application of the recruitment process through social media, including: the stages and qualifications and competencies required at PT Es Teh Indonesia Makmur (2) Knowing the effectiveness of recruitment methods through social media in an effort to reduce impact of the Covid-19 pandemic era, and explains the comparison of the E-Recruitment method with the offline recruitment method at PT Es Teh Indonesia Makmur. The effectiveness of the Recruitment Method through Social Media by studying library data and observations shows that the electronic recruitment system for the workforce is right to be used to facilitate and improve human resource management in the Covid-19 Pandemic era. This is supported by an increase in competent job applicants and PT Es Teh Indonesia Makmur is known to all circles so that it is able to open job vacancies for more than 150 outlets in less than one year.</em></strong></p><p class="BasicParagraph"><em>Keywords:  </em><strong><em><em>Effectiveness; Electronic Recruitment; Method; Recruitment; Social Media</em></em></strong></p>

PENGARUH PERLAKUAN VACUUM DRYING TERHADAP EKSTRAK ANTOSIANIN UBI JALAR UNGU (Ipomoea batatas Var.Ayamurasaki)