Pemerintah menuntut keaktifan masyarakat dalam mengkritik pemerintah. Namun, pernyataan tersebut menimbulkan polemik berbagai kalangan. Tujuan penulisan ini ialah untuk mengetahui respons mahasiswa terkait pemerintah yang menuntut untuk dikritik, namun terancam oleh UU ITE. Dan membahas bentuk jaminan hukum agar masyarakat dalam mengkritik pemerintah dapat terlindung dari sanksi pidana. Penelitian ini menggunakan metode penelitian kuantitatif, dengan melakukan survei melalui kuesioner, dan metode yuridis normatif yaitu menganalisis permasalahan berdasarkan peraturan perundang-undangan dan literatur hukum. Adanya UU ITE membuat masyarakat khawatir dalam memberi kritik dan masukan kepada pemerintah karena kurangnya jaminan atas kebebasan berpendapat dalam memberikan kritikan kepada pemerintah melalui media sosial.
Forecasting is a technique for estimating a value on a particular object in the future by paying attention to past data. This forecasting uses the Exponential Smoothing models because the data used is in accordance with the model. This study aims to predict the number of students in favorite high schools in Payakumbuh based on data obtained from 2014 until 2021 which is grouped into science and social studies classes. Forecasting is done using a Single Exponential Smoothing and Double Exponential models. MAPE results show that the Double Exponential Smoothing model is better at predicting the number of new students than Single Exponential Smoothing. Keywords: Double exponential smoothing, forecasting, single exponential smoothingMSC2020: 62M10
The practice of zakat is gaining popularity in Indonesia. This development is attributed to the strong role of the government in consistently developing zakat infrastructure and the increased awareness of people to practice zakat. Despite this success, a mechanism for predicting future zakat collection has not yet been developed. This study applies Holt's exponential smoothing and Auto-Regressive Integrated Moving Average (ARIMA) model to forecast zakat in Indonesia using zakat collection from 2009 to 2014. Results show that Holt's exponential smoothing is best fits the zakat time series data and is therefore suitable for forecasting zakat. Holt's exponential smoothing is comparable to the ARIMA model given its small deviations in mean absolute percentage error and mean square error. Moreover, the software used to implement Holt's exponential smoothing is similar to that used in ARIMA models. These similarities show that these models can accurately forecast future trends to prepare proper strategies and plan the future of the organization. These models can also be used to develop a plan for managing charity based on the number of recorded mustahiq.
<p style="text-align: justify;">Evaluation of the K-13 curriculum (2013 Curriculum) on the value of the national mathematics examination “Nilai Ebtanas Murni” (NEM) in every State Junior High School needs to be carried out thoroughly in order to improve the quality of education. This study uses spatial analysis to evaluate the curriculum and determine the development of NEM scores in the school year. Furthermore, the kriging interpolation method via surfer software was used to generate scores. The results showed that the 2015 K-13 mathematics curriculum did not give good results based on the 36-68 NEM score interval for the entire Pekanbaru area. In addition, the curriculum only gives good results for a small area in the north and south. In 2016, the curriculum which was accompanied by the entry of the new education unit level curriculum “Kurikulum Tingkat Satuan Pendidikan” (KTSP) showed a significant change in the NEM value. Although most of these areas experienced an increase in scores, the intervals still ranged from 36-68. The total revision of the K-13 curriculum carried out and used in 2017 showed a significant increase in scores for all regions with an interval of 68-84 scores. In conclusion, this study shows that the revision of the K-13 curriculum is the right step to produce quality mathematics learning.</p>
Manusia adalah makhluk yang unik karena dalam beberapa hal dia memiliki hal yang sama dengan hewan. Namun, mansia memiliki akal yang membedakannya dari hewan manapun yang ada di dunia ini. Insting adalah sesuatu yang ada pada manusia dan hewan yang menjaga mereka agar tetap hidup, atau bisa disederhanakan bahwa insting adalah sebuah potensi kehidupan. potensi kehidupan ini tidak dapat diindera seperti layaknya benda, namun kita dapat memastikan eksistensinya dengan melihat penampakan ataupun manifestasinya dalam aktivitas manusia sehari-hari. Setidaknya ada dua potensi kehidupan pada manusia yang bisa diketahui. Pertama, potensi kehidupan yang berbentuk kebutuhan jasadiyah (needs). Kedua, potensi kehidupan yang berupa keinginan naluriah (wants).
According to Article 183 of the Criminal Procedure Code, a judge may not impose a sentence on a person unless he has at least two valid evidence and he is convinced that a criminal act actually occurred and that the defendant was guilty of committing it. In this context there are at least two means of evidence and belief must be applied cumulatively based on the negative evidence theory (negative wettelijk bewijs theorie) adopted in Indonesia. The word two means of evidence refers to the parameter that there must be at least two pieces of evidence from the four pieces of evidence that have been determined limitatifly based on Article 184 of the Criminal Procedure Code, but the problem is that there is no clear measure (parameter) regarding the judge's conviction. The results of the study concluded that the judge's confidence parameters consisted of formal parameters and material parameters. Formal parameters are very much determined by formal evidence as stipulated in law and jurisprudence. Meanwhile, material actors have a freer character not only to see formal procedural facts but also to juridical, sociological, and philosophical aspects.
Indeks Pembangunan Manusia (IPM) merupakan indikator penting untuk mengukur keberhasilan dalam upaya membangun kualitas hidup manusia. IPM menjelaskan bagaimana penduduk dapat mengakses hasil pembangunan dalam hal pendapatan, kesehatan dan pendidikan. Penelitian ini bertujuan untuk mendapatkan pemodelan IPM serta melihat faktor-faktor apa saja yang mempengaruhi IPM di Indonesia tahun 2020. Data pada penelitian ini berupa data sekunder yang diperoleh dari Badan Pusat Statistik (BPS). Pemodelan dengan menggunakan regresi linier belum tentu cocok diterapkan diseluruh provinsi yang ada di Indonesia karena kondisi pendapatan, kesehatan dan pendidikan di provinsi di Indonesia berbeda-beda. Oleh karena itu, pada penelitian ini digunakan pendekatan geografis yaitu Geographically Weighted Regression (GWR) dalam memodelkan IPM dengan menggunakan variabel bebas yaitu Harapan Lama Sekolah (HLS), Rata-rata Lama Sekolah (RLS), Umur Harapan Hidup (UHH) dan Pengeluaran Per Kapita (PPK). Model GWR merupakan pengembangan dari model regresi spasial dimana setiap parameter dihitung setiap lokasi pengamatan, sehingga setiap lokasi akan memiliki interpretasi yang berbeda-beda. Pada pemodelan GWR membutuhkan fungsi pembobot, adapun fungsi pembobot yang digunakan pada penelitian ini yaitu Adaptive Kernel Gaussian. Hasil penelitian ini menunjukkan bahwa semua variabel bebas berpengaruh terhadap IPM. Model GWR merupakan model terbaik dibandingkan regresi linier dengan standar pemilihan nilai koefisien determinasi terbesar dan nilai Akaike Information Criterion (AIC) terkecil.
COVID-19 is an infectious disease caused by SARS-CoV-2 (Severe Acute Respiratory Syndrome Coronavirus 2). This viral infection causes illness with symptoms ranging from mild to severe. The number of deaths from this disease is increasing day by day. A person who is most easily infected with the COVID-19 virus is a person who has a comorbid disease, because the body's immunity decreases due to the impact of a previous illness. The purpose of this study was to determine the comorbid factors that trigger a person's death due to COVID-19. This research uses binary logistic regression with Bayes method parameter estimation. In this study, the predictor variables used were in the form of categories. The results showed that the factors that influence the death of a person on the death of COVID-19 in comorbid diseases are Diabetes Mellitus and Pneumonia.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.