492 research outputs found
Pemodelan Risiko Penyebaran COVID-19 di Surabaya Raya Menggunakan Model Cauchy Cluster Process
Full text linkCOVID-19 merupakan penyakit yang menyerang alat pernapasan. Jumlah kasus COVID-19 di Jawa Timur terus mengalami peningkatan tiap harinya khususnya wilayah Surabaya Raya meliputi Kota Surabaya, Kabupaten Gresik, dan Kabupaten Sidoarjo yang memiliki jumlah pasien terkonfirmasi positif tertinggi dibandingkan kabupaten/kota lainnya di Jawa Timur. Kota Surabaya menjadi penyumbangkan terbesar kasus terkonfirmasi postif COVID-19 di Surabaya Raya yaitu sebesar 60,1 %. Penelitian ini bertujuan untuk memodelkan risiko penyebaran COVID-19 di Surabaya Raya dengan melibatkan beberapa kovariat dimana kriteria pembandingnya yaitu nilai BIC terkecil dan envelope K-function. Hasil uji homogenitas menunjukkan penyebaran data kasus terkonfirmasi positif COVID-19 di Surabaya Raya tidak homogen dan untuk korelasi spasial dengan Inhomogeneous K-function diperoleh bahwa data cenderung membentuk kelompok atau klaster. Hasil pemodelan didapatkan bahwa model Inhomogeneous Cauchy Cluster Process setelah eliminasi merupakan model terbaik, dimana kovariat kepadatan penduduk dan kepadatan lokasi kerumunan yaitu pusat perindustrian dan tempat ibadah berpengaruh secara signifikan terhadap risiko penyebaran kasus terkonfirmasi positif COVID-19 di Surabaya Raya. Sementara itu, kepadatan pusat perbelanjaan tidak berpengaruh signifikan. Hasil prediksi risiko kasus terkonfirmasi positif COVID-19 di Surabaya Raya menunjukkan risiko penyebaran kasus terkonfirmasi positif COVID-19 di wilayah Kota Surabaya lebih tinggi jika dibandingkan dengan wilayah Kabupaten Sidoarjo maupun Gresik
Analisis Kesalahan Berbahasa Dalam Buku Khotbah Jumat Karya Achmad Sunarto
Full text linkAnalysis of Language Errors in the Friday Sermon Book by Achmad Sunarto The author chooses language error analysis because every written work that has been read, especially the sermon book by Achmad Sunarto, still has language errors. The language errors contained in each book are very important to note. Each word has its own meaning and meaning, if the writing of each word has an error it will have a different meaning or meaning. Therefore, to find out language errors in the Friday Sermon Book, Setyawati uses the theory of language errors in the book so that she can find out language errors. The problems of this research are: (1) How are language errors at the morphological level including the omission of affixes in Achmad Sunarto's Friday Sermon Book, (2) How are language errors at the morphological level including sounds that should be melted not melted in Achmad Sunarto's Friday Sermon Book, (3) How do language errors at the morphological level include sound decay that should not be melted in Achmad Sunarto's Friday Sermon Book, (4) How do language errors at the morphological level include the use of inappropriate affixes in Achmad Sunarto's Friday Sermon Book. The purpose of this study is to describe, analyze, and interpret language errors in Achmad Sunarto's Friday Sermon Book. The data source of this research is the Friday sermon by Achmad Sunarto. The method that the author uses in this research is the method of content analysis and the approach used in this research is a qualitative approach. The technique used in this research is documentation technique and hermeneutic technique. The results of the study concluded that there were 25 language errors, namely: the omission of affixes contained 18 data, the sound that should have melted was not melted, there were 6 data, the yield of the sound that should not have melted there was 1 data, and the use of affixes was not appropriate. So it can be concluded that the Analysis of Language Errors in the Friday Sermon Book by Achmad Sunarto contains language errors at the morphological level and is dominated by language errors of omitting affixes
Kedudukan hukum penerima wasiat yang namanya tidak tercantum pada surat keterangan waris dibawah tangan yang dibuat sendiri oleh para ahli waris negara indonesia golongan pribumi
No full textFeature selection for spatial point processes
No full textLes applications récentes telles que les bases de données forestières impliquent des observations de données spatiales associées à l'observation de nombreuses covariables spatiales. Nous considérons dans cette thèse le problème de l'estimation d'une forme paramétrique de la fonction d'intensité dans un tel contexte. Cette thèse développe les procédures de sélection des variables et donne des garanties quant à leur validité. En particulier, nous proposons deux approches différentes pour la sélection de variables : les méthodes de type lasso et les procédures de type Sélecteur de Dantzig. Pour les méthodes envisageant les techniques de type lasso, nous dérivons les propriétés asymptotiques des estimations obtenues par les fontions d'estimation dérivées par les vraisemblances de la Poisson et de la régression logistique pénalisées par une grande classe de pénalités. Nous prouvons que les estimations obtenues par de ces procédures satisfont la consistance, sparsité et la normalité asymptotique. Pour la partie sélecteur de Dantzig, nous développons une version modifiée du sélecteur de Dantzig, que nous appelons le sélecteur Dantzig linéaire adaptatif (ALDS), pour obtenir les estimations d'intensité. Plus précisément, les estimations ALDS sont définies comme la solution à un problème d'optimisation qui minimise la somme des coefficients des estimations soumises à une approximation linéaire du vecteur score comme une contrainte. Nous constatons que les estimations obtenues par de ces méthodes ont des propriétés asymptotiques semblables à celles proposées précédemment à l'aide de méthode régularisation du lasso adaptatif. Nous étudions les aspects computationnels des méthodes développées en utilisant les procédures de type lasso et de type Sélector Dantzig. Nous établissons des liens entre l'estimation de l'intensité des processus ponctuels spatiaux et les modèles linéaires généralisés (GLM), donc nous n'avons qu'à traiter les procédures de la sélection des variables pour les GLM. Ainsi, des procédures de calcul plus faciles sont implémentées et un algorithme informatique rapide est proposé. Des études de simulation sont menées pour évaluer les performances des échantillons finis des estimations de chacune des deux approches proposées. Enfin, nos méthodes sont appliquées pour modéliser les emplacements spatiaux, une espèce d'arbre dans la forêt observée avec un grand nombre de facteurs environnementaux.Recent applications such as forestry datasets involve the observations of spatial point pattern data combined with the observation of many spatial covariates. We consider in this thesis the problem of estimating a parametric form of the intensity function in such a context. This thesis develops feature selection procedures and gives some guarantees on their validity. In particular, we propose two different feature selection approaches: the lasso-type methods and the Dantzig selector-type procedures. For the methods considering lasso-type techniques, we derive asymptotic properties of the estimates obtained from estimating functions derived from Poisson and logistic regression likelihoods penalized by a large class of penalties. We prove that the estimates obtained from such procedures satisfy consistency, sparsity, and asymptotic normality. For the Dantzig selector part, we develop a modified version of the Dantzig selector, which we call the adaptive linearized Dantzig selector (ALDS), to obtain the intensity estimates. More precisely, the ALDS estimates are defined as the solution to an optimization problem which minimizes the sum of coefficients of the estimates subject to linear approximation of the score vector as a constraint. We find that the estimates obtained from such methods have asymptotic properties similar to the ones proposed previously using an adaptive lasso regularization term. We investigate the computational aspects of the methods developped using either lasso-type procedures or the Dantzig selector-type approaches. We make links between spatial point processes intensity estimation and generalized linear models (GLMs), so we only have to deal with feature selection procedures for GLMs. Thus, easier computational procedures are implemented and computationally fast algorithm are proposed. Simulation experiments are conducted to highlight the finite sample performances of the estimates from each of two proposed approaches. Finally, our methods are applied to model the spatial locations a species of tree in the forest observed with a large number of environmental factors
PENJADWALAN PROYEK MENGGUNAKAN CRITICAL PATH METHOD (CPM) DENGAN KENDALA KETERBATASAN SUMBER DAYA MANUSIA DAN ALAT (Studi Kasus: Proyek Steam Boiler dan Central Boiler Oleh PT Swadaya Graha di Kota Kediri, Jawa Timur)
No full textJika membutuhkan abstrak atau isi jurnal silahkan menghubungi author melalui Achmad Syaifuddin Arif1), Ceria Farela Mada Tantrika2), Ihwan Hamdala3Terima kasihÂ
Practical Methods Validation For Variables Selection In The High Dimension Data: Application For Three Metabolomics Datasets
Full text linkBackground: Variable selection on high throughput metabolomics data are becoming inevitable to select relevant information since they often imply a high degree of multicolinearity, and, as a result, lead to severely ill conditioned problems. Both in supervised classification framework and machine learning algorithms, one solution is to reduce their data dimensionality either by performing features selection, or by introducing artificial variables in order to enhance the generalization performance of a given algorithm as well as to gain some insight about the concept to learned.
Objective: The main objective of this study is to select a set of features from thousands of variables in dataset. We divide this objective into two sides: (1) To identify small sets of features (fewer than 15 features) that could be used for diagnostic purpose in clinical practice, called low-level analysis and (2) We do the identification to a larger set of features (around 50-100 features), called middle-level analysis; this involves obtaining a set of variables that are related to the outcome of interest. Besides that, we would like to compare the performances of several proposed techniques in feature selection procedure for Metabolomics study.
Method: This study is facilitated by four proposed techniques, which are two machine learning techniques (i.e., RSVM and RFFS) and two supervised classification techniques (i.e., PLS-DA VIP and sPLS-DA), to classify our three datasets, i.e., human urines, rat’s urines, and rat’s plasma datasets, which contains two classes sample each dataset.
Results: RSVM-LOO always leads the accuracy performance compare to the other two cross-validation methods, i.e., bootstrap and N-fold. However, this RSVM results is not much better since RFFS could achieve the higher accuracy performance. Another side, PLS-DA and sPLS-DA could reach a good performance either for variability explanation or predictive ability. In biological sense, RFFS and PLS-DA VIP show their performance by finding the more common selected features than RSVM and sPLS-DA compare to previous metabolomics study. This is also confirmed in the statistical comparison that RFFS and PLS-DA could lead the similarity percentage of selected features. Furthermore, RFFS and PLS-DA VIP have their better performance since they could select three metabolites of five confirmed metabolites from previous metabolomics study which couldn’t be achieved by RSVM and sPLS-DA.
Conclusion: RFFS seems to become the most appropriate techniques in features selection study, particularly in low-level analysis when having small sets features is often desirable. Both PLS-DA VIP and sPLS-DA lead to a good performance either for variability explanation or predictive ability, but PLS-DA VIP is slightly better in term of biological insight. Besides it is only limited for two class problem, RSVM unfortunately couldn’t achieve a quite good performance both in statistical and biological interpretation
Sélection de variables pour des processus ponctuels spatiaux
No full textRecent applications such as forestry datasets involve the observations of spatial point pattern data combined with the observation of many spatial covariates. We consider in this thesis the problem of estimating a parametric form of the intensity function in such a context. This thesis develops feature selection procedures and gives some guarantees on their validity. In particular, we propose two different feature selection approaches: the lasso-type methods and the Dantzig selector-type procedures. For the methods considering lasso-type techniques, we derive asymptotic properties of the estimates obtained from estimating functions derived from Poisson and logistic regression likelihoods penalized by a large class of penalties. We prove that the estimates obtained from such procedures satisfy consistency, sparsity, and asymptotic normality. For the Dantzig selector part, we develop a modified version of the Dantzig selector, which we call the adaptive linearized Dantzig selector (ALDS), to obtain the intensity estimates. More precisely, the ALDS estimates are defined as the solution to an optimization problem which minimizes the sum of coefficients of the estimates subject to linear approximation of the score vector as a constraint. We find that the estimates obtained from such methods have asymptotic properties similar to the ones proposed previously using an adaptive lasso regularization term. We investigate the computational aspects of the methods developped using either lasso-type procedures or the Dantzig selector-type approaches. We make links between spatial point processes intensity estimation and generalized linear models (GLMs), so we only have to deal with feature selection procedures for GLMs. Thus, easier computational procedures are implemented and computationally fast algorithm are proposed. Simulation experiments are conducted to highlight the finite sample performances of the estimates from each of two proposed approaches. Finally, our methods are applied to model the spatial locations a species of tree in the forest observed with a large number of environmental factors.Les applications récentes telles que les bases de données forestières impliquent des observations de données spatiales associées à l'observation de nombreuses covariables spatiales. Nous considérons dans cette thèse le problème de l'estimation d'une forme paramétrique de la fonction d'intensité dans un tel contexte. Cette thèse développe les procédures de sélection des variables et donne des garanties quant à leur validité. En particulier, nous proposons deux approches différentes pour la sélection de variables : les méthodes de type lasso et les procédures de type Sélecteur de Dantzig. Pour les méthodes envisageant les techniques de type lasso, nous dérivons les propriétés asymptotiques des estimations obtenues par les fontions d'estimation dérivées par les vraisemblances de la Poisson et de la régression logistique pénalisées par une grande classe de pénalités. Nous prouvons que les estimations obtenues par de ces procédures satisfont la consistance, sparsité et la normalité asymptotique. Pour la partie sélecteur de Dantzig, nous développons une version modifiée du sélecteur de Dantzig, que nous appelons le sélecteur Dantzig linéaire adaptatif (ALDS), pour obtenir les estimations d'intensité. Plus précisément, les estimations ALDS sont définies comme la solution à un problème d'optimisation qui minimise la somme des coefficients des estimations soumises à une approximation linéaire du vecteur score comme une contrainte. Nous constatons que les estimations obtenues par de ces méthodes ont des propriétés asymptotiques semblables à celles proposées précédemment à l'aide de méthode régularisation du lasso adaptatif. Nous étudions les aspects computationnels des méthodes développées en utilisant les procédures de type lasso et de type Sélector Dantzig. Nous établissons des liens entre l'estimation de l'intensité des processus ponctuels spatiaux et les modèles linéaires généralisés (GLM), donc nous n'avons qu'à traiter les procédures de la sélection des variables pour les GLM. Ainsi, des procédures de calcul plus faciles sont implémentées et un algorithme informatique rapide est proposé. Des études de simulation sont menées pour évaluer les performances des échantillons finis des estimations de chacune des deux approches proposées. Enfin, nos méthodes sont appliquées pour modéliser les emplacements spatiaux, une espèce d'arbre dans la forêt observée avec un grand nombre de facteurs environnementaux
Evaluasi Instalasi Pengolahan Air Limbah Rumah Sakit (Studi Kasus Rumah Sakit Umum Daerah Arifin Achmad Pekanbaru)
Full text linkEnvironmental health of the hospital is very important, therefore it is necessary to strive for proper and appropriate management of waste so that it is disposed of in compliance with the quality standard requirements of hospital waste water. So the authors are interested in conducting research on evaluating wastewater treatment, in this case the WWTP at Arifin Achmad Hospital. The purpose of this study was to evaluate the effectivenness of wastewater treatment and quality standart. The parameters of wastewater studied were Temperature (Temperature), TSS (Total Suspended Solids), pH (Degree of Similarity), NH3 (Ammonia), COD (Chemical Oxygen Demand), BOD (Biochemical Oxygen Demand), and Coliform MPN. The research method used by the author in this study is descriptive method, namely by collecting data through interviews and field observations with the aim of getting an overview of wastewater treatment evaluation in Arifin Achmad Hospital which will then be analyzed. From the results of the study, it is known that the processing effectiveness at Arifin Achmad Pekanbaru Hospital has fulfilled the requirements in accordance with Kepmenkes 1204/Menkes/SK/X/2004 regulations, namely the process of managing wastewater using the Anaerobic -Aerobic Biofilter system and using rotating biological contactor (RBC). The measurement results of each waste parameter are in accordance with Minister of Environment Decree No.5 of 2014 concerning hospital waste water quality standards, namely the value of the temperature at the outlet (after processing), is 28,1 0 C, TSS at the outlet 10,0 mg/L, PH at the outlet 6,83 mg/L, Free NH3 at outlet 0,039 mg/L, COD at outlet 41,7mg/L, BOD at outlet 7.8 mg/L, and MPN Coliform at outlet 2.200 MPN. So at the WWTP Arifin Achmad, it is already the quality standart and is suitable for disposal to the nearest channer
THE POTENTIAL OF DIGITIZING THE ISTISHNA CONTRACT DURING A PANDEMIC COVID-19 IN INDONESIA
Full text linkThe current istishna contract has experienced an event of digitization and adaptation to the buying and selling activities of the public, especially in Indonesia, namely by utilizing an online or network-based system. During the Covid-19 pandemic, it was not uncommon to find several businesses implementing the istishna contract as a manifestation of the digitization of buying and selling contracts. However, it is still not known for sure whether the istishna contract has the potential to be adequately implemented by the teachings of Islamic law or not, especially in the digitalization era, which adapts the istishna contract into an Islamic-based transaction activity that uses various information technology facilities. This research is qualitative research with the retrieval method of information utilizing a literature study. Thus, in finding conclusions on the problems discussed, the author uses a normative approach that examines the issue according to the views of norms, one of which is religious norms related to the permissibility and opportunities of digitizing the istishna contract in Indonesia. In addition, the author analyzes the impact of the pandemic on the economy, which is, of course, related to the potential for the istishna contract. This study aimed to determine the potential for digitizing the istishna contract, especially during the Covid-19 pandemic. From this research, the conclusion is that the istishna contract has the potential to be quite good in the community's economic activities during the Covid-19 pandemic, even though it is in the form of digitalization
Transmisi Pemaknaan Al-Qur’an Dalam Sekar Sari Kidung Rahayu Karya Eyang Achmad Djuwahir Anomwidjaja
Full text linkThis research aims to describe Sekar Sari Kidung Rahayu and determine the transmission of science that occurs in this work. In this research the author used a qualitative descriptive research method. The results of this research are first, Sekar Sari Kidung Rahayu by Eyang Achmad Djuwahir Anomwidjaja is a tembang macapat which was composed as a form of response, appreciation and reception for the presence of the Qur'an in his cultural group. This work contains the meaning of the Qur’an , invitations and advice in studying the Qur’an . The completed work consists of Surah Al-Fatihah, An-Naba' -- An-Nas (Juz 'Amma), Yasiin, Al-Baqarah, Ali-Imron and pieces of verses from the Qur’an . Second, the transmission of science that occurs consists of three stages: 1) Eyang's awareness of his cultural group which perpetuates the macapat tradition alongside the existence of pesantren as centers of Islamic religious education. 2) Interest in the form of Eyang's idea to compose tembang macapat containing meaning from the Qur’an . 3) Adoption takes the form of Eyang's actions as a transmitter in implementing ideas in his work. The meaning of the Qur'an by Eyang Achmad Djuwahir was then transmitted to the general public in the form of books, audio-visual documentation in digital media and through the Macapat community which studied Sekar Sari Kidung Rahayu.
Keywords : tembang macapat, reception of the Qur’an, transmission of science.Penelitian ini bertujuan untuk mendeskripsikan Sekar Sari Kidung Rahayu dan mengetahui proses transmisi pengetahuan yang terjadi pada karya tersebut. Dalam penelitian ini penulis menggunakan metode penelitian deskriptif kualitatif. Hasil penelitian ini adalah pertama, Sekar Sari Kidung Rahayu karya Eyang Achmad Djuwahir Anomwidjaja merupakan tembang macapat yang disusun sebagai bentuk respon, apresiasi sekaligus resepsi atas hadirnya Al-Qur’an pada kelompok budayanya. Karya tersebut berisi kandungan Al-Qur’an, ajakan dan nasihat dalam mempelajari Al-Qur’an. Karya yang sudah diselesaikan terdiri dari Surat Al-Fatihah, An-Naba’-An-Nas (Juz ”˜Amma), Yasiin, Al-Baqarah, Ali-Imron dan potongan ayat-ayat Al-Qur’an. Kedua, transmisi pengetahuan yang terjadi terdiri atas tiga tahapan: 1) Kesadaran (awareness) Eyang terhadap kelompok budayanya yang melanggengkan tradisi macapat berdampingan dengan keberadaan pesantren sebagai pusat pendidikan agama Islam. 2) Minat atau ketertarikan (interest) berupa gagasan Eyang untuk menyusun tembang macapat yang berisi kandungan ayat-ayat Al-Qur’an. 3) Adopsi (adoption) berupa tindakan Eyang sebagai transmitter dalam mengimplementasikan gagasan pada hasil karyanya. Pemaknaan Al-Qur’an oleh Eyang Achmad Djuwahir selanjutnya ditransmisikan ke khalayak ramai berupa buku, dokumentasi audio-visual dalam media digital serta melalui paguyuban macapat yang mengkaji Sekar Sari Kidung Rahayu.
Kata kunci : tembang macapat, resepsi Al-Qur’an, transmisi pengetahuan
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