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Received Mar 2, 2020 Revised May 20, 2021 Accepted Jun 19, 2021 Polygamy remains one of the interesting key topics in various society, especially Indonesia. Polygamy is the act of marrying multiple spouses that means having more one wife... more
Received Mar 2, 2020 Revised May 20, 2021 Accepted Jun 19, 2021 Polygamy remains one of the interesting key topics in various society, especially Indonesia. Polygamy is the act of marrying multiple spouses that means having more one wife at the same time, is common case in worldwide. In this problem, the most of Muslim in Indonesia adopt Islamic law that let men to do the polygamy with certain requirements. In worldwide communities, this has been a prominent feature and has become the subject of numerous books, heated debates, journal articles, discussion papers, and so on. Furthermore, in Indonesia the polygamous marriage has recently become a heated topic. Despite controversy, Indonesia’s law, of recent, allows people for doing polygamy in certain conditions. Because the polygamy is often debated, this study focuses on assessment of Indonesian’s perceptions through sentiment analysis and would determine people’s perception about polygamy issue from 500 tweets on Twitter. To conclu...
Research Interests: Computer Science, Perception, Sentiment Analysis, Islam, Sharia, and 3 moreIndonesian, Marriage law, and Wife
In this research was discuss about equation of dynamic system game with infinite time for scalar case with discount factor. Based system of dynamic game formed algebraic Riccati equation for infinite time. Furthermore, based solution from... more
In this research was discuss about equation of dynamic system game with infinite time for scalar case with discount factor. Based system of dynamic game formed algebraic Riccati equation for infinite time. Furthermore, based solution from algebraic Riccati equation, formed feedback Nash for each player. Then analyzed about stability of system with substitution feedback Nash to differential equation dynamic system. Moreover, for existence solution and uniqueness solution of 3464 Nilwan Andiraja et al feedback Nash, resulting for and founded solution for feedback Nash and there is one feedback Nash solution which stabilize dynamic system.
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Angin merupakan sumber energy yang tak-terhingga. Menjawab tantangan krisis energy dampak lingkungan yang diakibatkan oleh angin saat ini, maka perlu adanya upaya memodelkan kecepatan angin dalam mengeksplor potensi tersebut. Makalah ini... more
Angin merupakan sumber energy yang tak-terhingga. Menjawab tantangan krisis energy dampak lingkungan yang diakibatkan oleh angin saat ini, maka perlu adanya upaya memodelkan kecepatan angin dalam mengeksplor potensi tersebut. Makalah ini membahas tentang dua distribusi yaitu Weibull dan Rayleigh dalam menentukan model distribusi yang sesuai untuk data kecepatan angin di Pekanbaru. Estimasi parameter yang digunakan adalah metode maksimum likelihood dan menggunakan uji kebaikan ( Goodness of Fit ) AIC ( Akaike’s Information Criterion ) . Hasil yang diperoleh menunjukkan bahwa, model distribusi Weibull lebih sesuai digunakan untuk data kecepatan angin di Pekanbaru, karena nilai AIC yang diperoleh lebih kecil dibandingkan nilai AIC dari distribusi Rayleigh
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The scarcity of Islamic learning materials especially guidance to do shalah using animation technology with interactive interfaces become a reason to the implementation of thisstudy. In this study, we integrates Augmented Reality (AR)... more
The scarcity of Islamic learning materials especially guidance to do shalah using animation technology with interactive interfaces become a reason to the implementation of thisstudy. In this study, we integrates Augmented Reality (AR) elements into a children’s learning book, named AR SHALAT 4D Educational Book. It has been designed in ‘Markerless-based AR’ using mobile devices. The study was tested on an audience of randomly selected children aged 5-6 years and give the conclusion that, AR prayer is a suitable app for solving problems for prayer. Furthermore, this app can be used as one of the forms of mobile learning to the Muslim community regardless of age and background limits.
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Extracting meaningful pattern from data can be challenging. Irrelevant, redundant, noisy and unreliable data, misinterpretation of results and incompatibility of a technique to extract unknown patterns from data may lead analyst to... more
Extracting meaningful pattern from data can be challenging. Irrelevant, redundant, noisy and unreliable data, misinterpretation of results and incompatibility of a technique to extract unknown patterns from data may lead analyst to develop an erroneous classifier. This research is encouraged by `No Free Lunch' theorem that can be simplified as no classification technique that works best for every problem. This study tries to make a comparison amongst three main approaches in data mining, i.e. Decision Tree (DT), Artificial Neural Network (ANN), and Rough Set Theory (RST). A comparative analysis of the above techniques has been conducted by using open source's software ROSETTA and WEKA on five different datasets. The sample sizes are categorized in relation to the number of attributes and number of instances available in the dataset. Assessments on the classification model are based on accuracy, amount and length of the generated rules, error rate and standard deviation. Based on nine experiments, results show that Artificial Neural Network provides better accuracy than Decision Tree and Rough Set approach while Rough Set creates more rules and Decision Tree generate rules faster than the compared techniques. The results show the trade off of using different approaches for other researchers in finding the best model for a particular problem.
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Rainfall data from rain-gauge stations suffers the risk of being missing due to factors such as human negligence, faulty equipment and disasters. In this paper, complete monthly rainfall data from 1985 to 1992 in Payakangsar station is... more
Rainfall data from rain-gauge stations suffers the risk of being missing due to factors such as human negligence, faulty equipment and disasters. In this paper, complete monthly rainfall data from 1985 to 1992 in Payakangsar station is used as the base data to determine the appropriate method for handling missing data. A portion of this complete data is then omitted at random by as much as 5%, 10% and 15% of the total number of data. Three methods of missing data replacement are considered that is, replacement of the missing data with zero (NR), single imputation (SI) and multiple imputation (MI) methods. The Neyman-Scott Rectangular Pulse (NSRP) rainfall stochastic model is then fitted to the resulting data from these three methods. Data from the month of October and November are selected for further analysis as these two months represent the months with highest rainfall amount received. To assess the performance of these three methods, a goodness-of-fit test based on the mean absolute error is applied. ...
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ABSTRACT
Research Interests: Engineering, Mechanical Engineering, Mathematics, Applied Mathematics, Pergamon, and 10 moreNumerical Simulation, Mathematical Sciences, Natural Convection, Physical sciences, Convergence Rate, Quadrature of Differential Equations, Finite Difference, Interdisciplinary Engineering, Boundary Condition, and Differential Quadrature method
ALLAH menyebutkan hujan dalam Al-Qur’an sebanyak 55 kali, hal ini tentu saja dapat disimpulkan bahwa hujan adalah bagian terpenting yang diciptakan oleh ALLAH sebagai rahmat bagi alam beserta isinya. Khazanah hujan ini telah jelas... more
ALLAH menyebutkan hujan dalam Al-Qur’an sebanyak 55 kali, hal ini tentu saja dapat disimpulkan bahwa hujan adalah bagian terpenting yang diciptakan oleh ALLAH sebagai rahmat bagi alam beserta isinya. Khazanah hujan ini telah jelas diungkapkan dalam Al-Qur’an dan Hadist. Khazanah ini akan diperjelas dengan mengurai beberapa informasi hujan yang telah diberitakan dalam Firman ALLAH dan Hadist Nabi Muhammad SAW dari sudut pandang ilmu sains. Ukuran hujan yang dikabarkan dalam surat Mu’minun ayat 18 dan Surat Nur 43 serta perbedaan hujan setiap tahun yang diberitakan dalam hadist akan diuraikan melalui ilmu sains (statistika). Ukuran hujan yang didefinisikan dengan tepat yang dilandasi oleh Firman ALLAH tersebut dapat memberikan manfaat yang sangat baik bagi mengungkap khazanah hujan melalui model-model ilmu statistik terutama dalam menghasilkan perkiraan ukuran-ukuran hujan tersebut untuk masa yang akan datang. Melalui berita pentingnya mengungkapkan sifat dan pola hujan tiap tahun sep...
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Penelitian tentang hujan merupakan hal terpenting dalam menjamin dunia industri dapat berkembang dengan baik. Penentuan letak daerah industri yang bebas dari resiko banjir dalam jangka waktu yang panjang adalah hal yang terpenting bagi... more
Penelitian tentang hujan merupakan hal terpenting dalam menjamin dunia industri dapat berkembang dengan baik. Penentuan letak daerah industri yang bebas dari resiko banjir dalam jangka waktu yang panjang adalah hal yang terpenting bagi menjamin berkembangnya industri tersebut. Oleh sebab itu pemodelan statistik yang dapat meramalkan dua sifat hujan yang sangat penting dalam mempengaruhi terjadinya banjir yaitu intensitas dan durasi hujan sangat diperlukan. Data hujan setiap jam selama 37 tahun (1971-2008) yang diperoleh dari 55 stasiun hujan di berbagai daerah pada Semenanjung Malaysia akan digunakan dalam menghasilkan model yang baik untuk tujuan ini. Model hujan stokastik Neyman- Scott Rectangular Pulse (NSRP) telah digunakan dalam penelitian ini untuk mendapatkan nilai ramalan dua sifat hujan di atas. Nilai ramalan intensitas dan durasi untuk hujan yang terjadi pada bulan 12 akan disajikan dalam bentuk pemetaan yang dihasilkan dengan menggunakan metoda Kriging. Pemetaan yang dila...
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Pertumbuhan yang pesat dari akumulasi data telah menciptakan kondisi kaya akan data tetapi minim informasi. Data mining merupakan cara untuk menemukan informasi dengan mencari pola atau aturan tertentu dari data dalam jumlah besar yang... more
Pertumbuhan yang pesat dari akumulasi data telah menciptakan kondisi kaya akan data tetapi minim informasi. Data mining merupakan cara untuk menemukan informasi dengan mencari pola atau aturan tertentu dari data dalam jumlah besar yang diharapkan dapat mengatasi kondisi tersebut. Dengan memanfaatkan informasi atau fitur-fitur seperti jenis kelamin, nilai Seleksi Kompetensi Dasar (SKD), nilai Seleksi Kompetensi Bidang (SKB) 1, nilai Seleksi Kompetensi Bidang (SKB) 2, nilai Seleksi Kompetensi Bidang (SKB) 3, dan keterangan lulus atau tidak lulus seleksi sebagai sumber datanya, diharapkan dapat menghasilkan informasi tentang klasifikasi seleksi penerimaan Calon Pegawai Negeri sipil (CPNS) 2017. Metode yang digunakan adalah metode Naïve Bayes yaitu metode yang digunakan untuk memprediksi berbasis probabilitas. Penelitian ini bertujun untuk mendapatkan distribusi yang tepat untuk fitur-fitur data kontinu. Dari hasil pengujian yang dilakukan dengan menggunakan data sebanyak 284 dengan 227...
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Pendahuluan Pemodelan hujan dengan menggunakan metoda NSRP merupakan suatu metoda yang dapat meramal dua sifat hujan yang sangat penting yaitu intensitas dan durasi hujan. Penelitian dibidang hidrologi selalu sangat bergantung kepada dua... more
Pendahuluan Pemodelan hujan dengan menggunakan metoda NSRP merupakan suatu metoda yang dapat meramal dua sifat hujan yang sangat penting yaitu intensitas dan durasi hujan. Penelitian dibidang hidrologi selalu sangat bergantung kepada dua sifat di atas, terutama dalam meperkirakan banjir dan tanah longsor secara dini. Penelitian mengenai pemetaan atau yang lebih dikenal dengan istilah Spasial terhadap daerah-daerah dalam suatu daerah yang dilalui oleh intensitas hujan yang tinggi dan durasi yang lama juga akan sangat berguna dalam menentukan letak-letak pusat industri pada daerah tersebut. Oleh sebab itu ketersediaan data hujan setiap jam yang lengkap merupakan hal terpenting dalam penelitian ini. Penelitian tentang pemodelan hujan dengan menggunakan metoda NSRP telah banyak dilakukan oleh peneliti, diataranya Rodriguez-Iturbe et al., (1987b) telah meneliti kesamaan dan kelemahan yang terdapat pada pemodelan NSRP dan pemodelan Bartlett-Lewis, Entekhabi et al., (1989) juga telah mengg...
Data hilang pada rancangan blok lengkap acak (RBLA) merupakan informasi yang tidak tersedia untuk sebuah obyek (kasus) tertentu, dimana banyaknya data pengamatan dalam rancangan blok random lengkap kurang dari kxn data pengamatan. Metode... more
Data hilang pada rancangan blok lengkap acak (RBLA) merupakan informasi yang tidak tersedia untuk sebuah obyek (kasus) tertentu, dimana banyaknya data pengamatan dalam rancangan blok random lengkap kurang dari kxn data pengamatan. Metode Yates merupakan metode pendugaan untuk menangani data hilang yang dilakukan dengan meminimumkan jumlah kuadrat error, sedangakan metode Biggers merupakan metode pendugaan data hilang dengan pendekatan matrik. Kemudian untuk mengatasi error pada jumlah kuadrat perlakuan diperlukan tabel analisis varian alternatif sebagai alternatif analisis data hilang pada RBRL dan mengetahui pengaruh perlakuan terhadap respon pengamatan. Maka untuk satu dan dua data hilang dapat diselesaikan dengan menggunakan metode Yates. Untuk empat data hilang dapat diselesaikan dengan metode Biggers dan tiga data hilang dapat diselesaikan dengan menggunakan aturan Baten dan pendekatan matriks pada metode Biggers.
This paper aims to estimate Neyman-Scott rectangular pulse (NSRP) modeling application in representing the storm rainfall that occurred in Peninsular Malaysia. This research utilized hourly rainfall data from 48 rain gauges in Peninsular... more
This paper aims to estimate Neyman-Scott rectangular pulse (NSRP) modeling application in representing the storm rainfall that occurred in Peninsular Malaysia. This research utilized hourly rainfall data from 48 rain gauges in Peninsular Malaysia during the period from 1970 to 2008. The raingauge stations are given in four territories, namely northwest, west, southwest, and east. The goodness-of-fit test from NSRP model should be done before the other applications of the model. The conclusion of this research revealed that NSRP model is able to show the rainfall data in Peninsular Malaysia.
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The social illness has become main problem in Indonesia such as drug addiction, prostitution, game addiction, and so on. Based on Indonesian government, through its anti-drug agency, the National Narcotics Board (BNN) in 2015 the number... more
The social illness has become main problem in Indonesia such as drug addiction, prostitution, game addiction, and so on. Based on Indonesian government, through its anti-drug agency, the National Narcotics Board (BNN) in 2015 the number of drug users are 5 million people. Drugs have caused for as many as 15,000 deaths each year in Indonesia. Peoples did not get information about social ills such as the types of drugs that have the same characteristics. As a largest Muslim country in the world may be reduce the social ills with the Islam approach. Recently, the integration of Islamic science and technology has become popular. At times the people get obstacles to get information and advice directly from expert and scholars in Islamic science. This paper is to develop a prototype expert system by providing prevention and best treatment based on Quran and Hadith. We use some of the data for knowledge base obtained from Selat Panjang, Riau. Based on the preliminary results, it has simila...
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Interest determination in music is very beneficial for business communities such as social network advertiser, music studio rental, musical instrument sales, and music concert promoter. This research discusses the classification of music... more
Interest determination in music is very beneficial for business communities such as social network advertiser, music studio rental, musical instrument sales, and music concert promoter. This research discusses the classification of music interest of Twitter users based on their tweets in Bahasa Indonesia (Indonesian language). We classify tweets into three music genre categories (jazz, pop, or rock) and three sentiments (positive, negative, or neutral) using Support Vector Machine (SVM). Tweet text classification includes user text, retweet text, mention, hashtag, emoticon, and link (URL). Preprocessing is initiated with word segmentation, removal of symbol and numeric character codes, stemming, word normalization, removal of stopwords, and searching DBpedia for some important words that does not have basic words. This research use dataset of 450 tweets. By generating SVM model on training process that use 360 tweets, Gaussian RBF kernel, and 10-fold cross validation, a pair of para...
This study focuses on describing spatial analysis for the important statistics (mean and probability rain) and the storm behavior by using Neyman-Scott Rectangular Pulse (NSRP) parameters in Peninsular Malaysia, based on huorly rainfall... more
This study focuses on describing spatial analysis for the important statistics (mean and probability rain) and the storm behavior by using Neyman-Scott Rectangular Pulse (NSRP) parameters in Peninsular Malaysia, based on huorly rainfall data from 50 selected rainfall stations which include four subregions, namely northwest, west, southwest, and east for the periods of 1970 to 2008. The results of this study proved that NSRP model is able to imitate the pattern of actual rainfall in Peninsular Malaysia by comparing the parameters as well as the spatial distribution of the means and probabilities of 1 and 24-hour rain. Thus, results from the NSRP model fitting for each station are valid to be used in further analysis that is to evaluate the behavior of storm rainfall. Moreover, that almost all areas on northwest, west and east regions experienced mean of rain 24 hours < 45 mm, and that the largest was observed in southwest on November, December, and January with value > 0.51.
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This research focuses on image recognition of beef and pork. Beef as an example of halal food, while pork as haram food, especially for Muslims. This study used PNN classification and feature extraction methods. These images show some... more
This research focuses on image recognition of beef and pork. Beef as an example of halal food, while pork as haram food, especially for Muslims. This study used PNN classification and feature extraction methods. These images show some fundamental differences between pork and beef which based on colors and texture. Color was extracted by HSV model, otherwise texture extracted with 3 methods. These methods were Gabor, Principle Component Analysis (PCA) and Local Binary Pattern (LBP). Performance comparison of these methods was measured from the target accuracy of classification. Experiments conducted on 100 images of beef, pork and mixed, with attention to smoothing parameter (spread value/σ) in PNN and distribution data training and data testing. The best spread value obtained 10 for Gabor+HSV+PNN and LBP+HSV+PNN, but PCA+HSV+PNN was 108. The mixed meat was recognizable by PCA+HSV+PNN and LBP+HSV+PNN equal to 100%. The highest classification performance was achieved by PCA+HSV+PNN. T...
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Kriging sebagai analisa geostatistika digunakan dalammenduga suatu nilai dalam titik yang tidak tersampel berdasarkan titik-titik sampel yang berada disekitarnya dengan memperhitungkan korelasi spasial menggunakan suatu pembobot spasial,... more
Kriging sebagai analisa geostatistika digunakan dalammenduga suatu nilai dalam titik yang tidak tersampel berdasarkan titik-titik sampel yang berada disekitarnya dengan memperhitungkan korelasi spasial menggunakan suatu pembobot spasial, dimana korelasinya ditunjukkan melalui variogram. Dalam penelitian ini, metode yang digunakan adalah ordinary kriging sebagai salah satu metode geostatistika, metode ini membandingkan nilai variogrameksperimental dengan beberapa variogramteoritis (eksponensial, gaussian, spherical) dipilih salah satu model semivariogram terbaik untuk menduga nilai yang akan dicari. Data yang digunakan pada penelitian ini adalah datapencurian dengan menggunakan pemberatan (curat), pencurian kendaraan bermotor (curanmor), pencurian dengan kekerasan (curas), pencurian biasa (curbis) tahun 2017 di Polres Kota Pekanbaru dengan 10 jajaran Polsek dibawah naungan Polres Kota Pekanbaru Riau. Berdasarkan hasil dan pembahasan maka diperoleh nilai sill sebesar 0.1712 dan range ...
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This study focuses on describing the spatial analysis for the important statistics (mean and probability rain) and the storm behavior by using Neyman-Scott Rectangular Pulse (NSRP) parameters in Peninsular Malaysia. The storm behaviors... more
This study focuses on describing the spatial analysis for the important statistics (mean and probability rain) and the storm behavior by using Neyman-Scott Rectangular Pulse (NSRP) parameters in Peninsular Malaysia. The storm behaviors comprising of the arrivals storm (AS), the number of rain cells (NR), the rain cells intensity (RI), and the rain cells duration (RD) will be analyzed. Due to the limited number of stations, the geostatistical method of ordinary kriging is used to compute the values of properties of storm and to map their spatial distribution. The findings of this study indicate that there were differences in spatial distribution of arrival storm over Peninsula during both seasons, with the highest rate arrival storm over the east compared to other regions during the southwest monsoon (SWM). In contrast, the rate arrival storm significantly decreases over the east regions during the northeast monsoon (NEM). The storm is more common in NEM season than in SWM season. Ho...
Palm oil and related products is Malaysia's second largest export. Palm oil state expenditures in 2010 are projected to reach approximately 64,282,738 tons within a year. However, these results still have not reached the stage of... more
Palm oil and related products is Malaysia's second largest export. Palm oil state expenditures in 2010 are projected to reach approximately 64,282,738 tons within a year. However, these results still have not reached the stage of maximum when seen from an oil palm plantation areas in Peninsular Malaysia, Sabah and Sarawak covering an area of 4,691,160 hectares. Of the area, approximately 2,807 million hectares of oil palm plantations planted by the private sector (59.8%) while 20.2% is managed by the Government (FELDA 675.167 ha, 80.262 Risda and Felcra 160.832), 321.947 ha (7.1%) by the local government and the rest covering an area of 540.194 ha (12.9%) are currently working on. This study discusses the entire area of oil palm planted area compared to the harvest, the number of workers factors, yields and prices. The model used in this research is the method of logistics, with the probit model, logit model and complementary log-log function (complementary log-log) to 39 locati...