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ANALISIS REGRESI POISSON INVERSE GAUSSIAN UNTUK MENENTUKAN FAKTOR-FAKTOR YANG MEMPENGARUHI JUMLAH KASUS DEMAM BERDARAH DENGUE (DBD)
Marizal, Muhammad;
Alvionita, Veny
Ekologia: Jurnal Ilmiah Ilmu Dasar dan Lingkungan Hidup Vol 23, No 1 (2023): Ekologia : Jurnal Ilmiah Ilmu Dasar dan Lingkungan Hidup
Publisher : Universitas Pakuan
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DOI: 10.33751/ekologia.v23i1.6553
One of the census data is the number of dengue cases where to model the data can be done using poisson regression. Poisson regression has an assumptions that must be met, namely the average value dan variance must be the same or colled (equidispersion). But, in this study, the data experienced a violation in ehich the variance value was greater than the average value or colled (overdispersion). To overcome thie problem by using the mixed poisson method, namely poisson inverse gaussian regression for count data that is overdispersed and has a likelihood function that is cloce form, that is the parameters are know, so many researchers use this model. The number of DBD cases in Riau Province is counting data that has overdispersion. So therefore, to model the number of cases of DBD using poisson inverse gaussian regression. Based on the model used, it shows the factors that influence the number of dengue cases in Riau Province in 2019, namely the number of health facilities.
Renewal of Director’s Criminal Liability for BUMN Losses Based on Business Judgment Rule
Triantono;
Marizal, Muhammad
Widya Pranata Hukum : Jurnal Kajian dan Penelitian Hukum Vol. 6 No. 1 (2024)
Publisher : Fakultas Hukum Universitas Widya Mataram
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DOI: 10.37631/widyapranata.v6i1.1481
One of the problematic issues in existence of BUMN is the uncertainty in determining whether BUMN is a representation of the state or fully a business entity. This is due to the absence of an understanding of the BUMN's capital originating from separated state assets. This condition in turn has an impact on the uncertainty of the criminal responsibility of the directors if the BUMN suffers a loss associated with The Principle of State Losses and The Principle of Business Judgment Rule as one of the universal principles in company management. Based on this, there are two problems, namely: 1) What is the importance of The Business Judgment Rule Principle in the management of BUMN’s in Indonesia? 2) How is the criminal responsibility of the Board of Directors for the loss of BUMN related to the Business Judgment Rule Principle? This study is a normative juridical study conducted through a literature study using legal materials to produce an analytical description in order to answer the problems posed. The results of this study show that The Principle of Business Judgment Rule has an important position in ensuring the protection of directors who run the company based on Good Faith and Condor. The renewal of the board of directors' criminal liability for BUMN losses based on the Business Judgment Rule Principle has the direction (Ius Constituendum) of revising the BUMN Law in the form of reconceptualization and strengthening of The Principles of Good Faith and Good Will through the framework of good corporate governance.
Pemodelan angka kematian bayi di Indonesia menggunakan Geographically Weighted Regression (GWR) dan Mixed Geographically Weighted Regression (MGWR)
Marizal, Muhammad;
Monalisa, Kartika Anjani
Majalah Ilmiah Matematika dan Statistika Vol 22 No 2 (2022): Majalah Ilmiah Matematika dan Statistika
Publisher : Jurusan Matematika FMIPA Universitas Jember
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DOI: 10.19184/mims.v22i2.32460
The Infant Mortality Rate (IMR) is fundamental indicator that reflects the health status in the surrounding community. The Infant Mortality Rate is still categorized as high in Indonesia. Therefore, this study aims to determine the appropriate model in estimating the Infant Mortality Rate (IMR) and to find out the factors that influence the IMR in Indonesia. The data in this study was secondary which obtained from the Indonesia Health Profile. The estimation was carried out using Geograpically Weigthed Regression (GWR) and Mixed Geographically Weigthed Regression (MGWR) models. The GWR model is development of regression that consider spatial factors. While the MGWR model is a combination of regression and GWR with several variables influence locally. but the rest goes globally. The result showed that the MGWR model was the best model compared to the GWR model with the lowest AIC value selection standart. The MGWR model with weighted Adactive Kernel Gaussian found that locally influencing factors were infants who were exclusively breastfed (ASI) and infants who received early initiation of breastfeeding (IMD), while globally influencing factors were infants who were given vitamin A, low birth weight (LBW) delivery services at health facilities and pregnant women receiving bloodsupplementing tables (TTD). Keywords: Adaptive of kernel Gaussian, AIC, the infant mortality rate, GWR, MGWR MSC2020: 62M10
Kawasan Strategis Pariwisata Nasional (KSPN) Borobudur Dalam Perspektif Poltik Hukum Otonomi Daerah
Triantono, Triantono;
Marizal, Muhammad;
Ardhi Razaq A, Muhammad
Jurnal Hukum & Pembangunan
Publisher : UI Scholars Hub
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Policy of the Borobudur National Tourism Strategic Area (KSPN) still has problems in terms of central and regional legal policy relations, village authority, and the approach of community participation. Research related to this was carried out using a normative juridical method with an empirical approach. Data was collected through the collection of legal materials, observations, in-depth interviews, and FGDs with key groups. The collected data is then processed and analyzed to produce an analytical description. The results of the study show that the policy of the Borobudur area as a strategic national tourism area (KSPN) opens opportunities, especially in improving regional management to improve community welfare. However, problems in the era of regional autonomy and the increasing capacity of village government authorities are still encountered regarding the synergies of the legal policy of managing the Borobudur area as an area of cultural heritage, tourism and education. The problem of participation, protection and empowerment of communities around the Borobudur area is also still encountered and becomes an important point through a protective-responsive empowerment approach.
Analisis Jumlah Kriminal Di Indonesia dengan Geographically Weighted Regression
Marizal, Muhammad;
Mulyani, Septia
Seminar Nasional Teknologi Informasi Komunikasi dan Industri 2024: SNTIKI 16
Publisher : UIN Sultan Syarif Kasim Riau
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Kriminalitas merupakan perbuatan yang merugikan pelaku dan korban secara ekonomis dan psikologis. Penelitian ini bertujuan untuk memodelkan jumlah kriminal dan mengetahui faktor-faktor yang mempengaruhinya. Penelitian ini melibatkan variabel independen yang terdiri dari Jumlah Pengangguran Terbuka (JPT), Jumlah Penduduk Miskin (JPM), Jumlah Penduduk Putus Sekolah (JPPS), Kepadatan Penduduk (KP) dan Indeks Pembangunan Manusia (IPM). Metode yang digunakan adalah Geographically Weighted Regression (GWR). Karena jumlah kriminal dapat menyebar kewilayah terdekat. Model GWR merupakan jenis regresi spasial yang memiliki parameter berbeda setiap lokasi pengamatan. Penelitian ini menggunakan fungsi pembobot fixed gaussian. Hasil penelitian ini adalah wilayah berdekatan cenderung memiliki kesamaan faktor-faktor yang mempengaruhi jumlah kriminal di Indonesia. Variabel Jumlah Penduduk Miskin (JPM), Jumlah Penduduk Putus Sekolah (JPPS), Kepadatan Penduduk (KP) dan Indeks Pembangunan Manusia (IPM) menjadi faktor yang mempengaruhi jumlah kriminal di Indonesia.
Modeling of Educated Unemployment Rates in Indonesia Using Geographically Weighted Regression
Mufarida, Abdilla;
Marizal, Muhammad
Indonesian Council of Premier Statistical Science Vol 4, No 1 (2025): February 2025
Publisher : Universitas Islam Negeri Sultan Syarif Kasim Riau
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DOI: 10.24014/icopss.v4i1.35855
Modeling the Educated Unemployment Rate (EUR) in Indonesia is an effort to reduce the number of unemployed, especially the unemployed who are able to complete their education at least high school. The SATKERNAS survey stated that more than half of the unemployed in Indonesia in 2022 were educated unemployed. Modeling was generally carried out to see the relationship between independent variables and dependent variables using linear regression analysis and specifically using Geographically Weighted Regression (GWR) analysis to understand significant differences in independent variables between provinces in Indonesia. In accordance with the model goodness criteria, GWR produces a model that has a smaller AIC value than the general model generated by linear regression. From linear regression analysis, EUR in Indonesia in 2022 is influenced by TPT, JPUP, and Investment. In addition to these variables, the PG variable also affects EUR in Aceh, North Sumatra, West Sumatra, and Riau Provinces according to GWR analysis with a fixed gaussian weighting function
Application of Binary Logistic Regression Method in Diagnosing Ischemic Stroke Disease at Petala Bumi Hospital, Riau Province
Marizal, Muhammad;
Uci Lestari, Tri
Vokasi Unesa Bulletin of Engineering, Technology and Applied Science Vol. 1 No. 1 (2024)
Publisher : Universitas Negeri Surabaya or The State University of Surabaya
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DOI: 10.26740/vubeta.v1i1.34099
Stroke occurs suddenly when blood flow is obstructed while supplying blood to the brain. Ischemic stroke is a type of stroke that often occurs and is a major cause of disability and even death. The large number of ischemic stroke incidents is the result of ignorance of the risk factors that lead to the emergence of ischemic stroke events. The purpose of this study was to determine the risk factors that significantly influence ischemic stroke and to determine the chances of thrombotic and embolic ischemic stroke by involving several independent variables. Factors that are thought to influence the occurrence of ischemic stroke in this study were age, gender, hypertension status, diabetes mellitus status, hypercholesterolemia status, obesity, triglycerides, body mass indeks, diet, and smoking habits. The method used in this research is binary logistic regression. The results of the analysis show that age and hypertension status have a significant effect on ischemic stroke with a classification accuracy of 74% the rest is influenced by other factors
Forecasting of Average Air Temperature in the City of Pekanbaru Using the Holt-Winters Method
Yendra, Rado;
Marizal, Muhammad;
Ramadhani, Hilvania
Indonesian Council of Premier Statistical Science Vol 4, No 2 (2025): August 2025
Publisher : Universitas Islam Negeri Sultan Syarif Kasim Riau
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DOI: 10.24014/icopss.v4i2.37868
Global climate change causes significant fluctuations in air temperature, including in the city of Pekanbaru, therefore, a predictive system is needed that can help the government and the community in dealing with climate impacts, one of which is through air temperature forecasting. This study aims to forecast the average air temperature in Pekanbaru City using the Holt-Winters Exponential Smoothing method, which is known to be effective in capturing seasonal patterns and trends. The data used is monthly average air temperature data from 2017 to 2024 obtained from BMKG. The analysis was carried out using an addictive approach and model evaluation was carried out based on the Mean Absolute Percentage Error (MAPE) value. The results show that the best model is obtained on a parameter with a MAPE value of 2.684. This model is then used to forecast the air temperature in 2025, which is predicted to decrease gradually. The results of this forecast are expected to be a reference in planning and decision-making related to climate change mitigation in the Pekanbaru area
Online-Based Violence Against Children: Efforts to Develop Child Protection Strategies in the Digital Era in Magelang Regency
Triantono;
Marizal, Muhammad;
Setiani, Natasya Okta
Pena Justisia: Media Komunikasi dan Kajian Hukum Vol. 24 No. 1 (2025): Pena Justisia
Publisher : Faculty of Law, Universitas Pekalongan
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DOI: 10.31941/pj.v24i2.5277
The rapid advancement of technology has resulted in the exponential transformation of social interactions and relations. The ease of access and broad reach have increased internet penetration, particularly among children aged 13-17 in Magelang Regency. While this situation can have positive impacts, the low level of literacy and awareness of the use of digital devices has increased the risk of online-based violence against children. This research focuses on three issues: the conditions and dynamics of online-based violence against children in Magelang Regency, the measures already taken to respond to online-based violence against children in Magelang Regency, and prevention strategies for online-based violence against children from the perspective of fulfilling children's rights and protection in the future. This study employs a qualitative approach with children aged 13-17 years. The research findings reveal that children aged 13-17 years in Magelang Regency experience two forms of violence: cyberbullying and sexual harassment. Low digital media literacy and risky interaction behaviours, coupled with inadequate mitigation efforts, pose a significant potential for an increase in this type of violence in the future. There are seven prevention strategies: digital literacy for children and parents; safe environment and technology; accessibility of services; strengthening regulations and child protection institutions; strengthening coordination and synergy; public awareness; and parental/family participation.
Analisis Penggunaan Alasan Penghapus Kesalahan dalam KUHP (Studi Kasus Pembunuhan Redho Tri Agustian 2023)
Juniarti, Sony;
Putri Awwaliyah, Rizka;
Trisnawati , Trisnawati;
Rabbani Kurniawan, Hafidz;
Marizal, Muhammad
Innovative: Journal Of Social Science Research Vol. 4 No. 2 (2024): Innovative: Journal Of Social Science Research
Publisher : Universitas Pahlawan Tuanku Tambusai
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DOI: 10.31004/innovative.v4i2.9485
Hukum pidana merupakan sekumpulan aturan yang mengatur mengenai sanksi yang memberikan efek jera bagi pelakunya, terutama pelaku kejahatan sebagai subjek utamanya. Dalam praktiknya, meskipun sanksi yang dikenakan sangat pedih, tetapi terdapat beberapa hal yang dapat menghapuskan pidana melalui alasan pembenar dan alasan pemaaf, termasuk bagi kasus pembunuhan yang diancam sangat berat. Kasus pembunuhan dan mutilasi yang dialami oleh mahasiswa UMY, Redho Tri Agustian sempat menyita perhatian karena perlakuan pelaku yang sangat keji dan tidak manusiawi. Akan tetapi, dalam fakta persidangan baru ditemukan bahwa salah satu pelaku ternyata mengalami kesehatan mental sehingga dalam penelitian ini bertujuan untuk menganalisis tentang alasan pemaaf terhadap pelaku dalam kasus ini. Metode penelitian yang digunakan adalah yuridis normatif yang berarti mendapatkan data dari observasi didukung dengan studi kepustakaan sehingga didapat data kualitatif kemudian data tersebut dilakukan analisis secara deskriptif. Hasil dari penelitian ini menunjukkan bahwa alasan pemaaf dapat digunakan untuk membebaskan pelaku dari pidana selama dapat dibuktikan melalui prosedur yang sah sehingga dalam kasus ini para terdakwa sebagai pelaku tidak dapat diyakinkan mendapatkan alasan pemaaf.