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Pengaruh Korelasi Antar Respon pada Model Multinomial Logit Jaka Nugraha; Suryo Guritno; Sri Haryatmi
Jurnal Matematika & Sains Vol 14, No 3 (2009)
Publisher : Institut Teknologi Bandung

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Abstract

Model multinomial logit (MNL) disusun berdasarkan asumsi bahwa komponen erornya berdistribusi nilai ekstrim tipe I (Gumbel) dan saling independen. Dengan asumsi ini, persamaan probabilitas pada masing-masing pilihan berbentuk persamaan tertutup dan konsisten dengan utilitas acak (random utility). Telah dilakukan penyelidikan pengaruh besarnya korelasi antar respon terhadap estimator. Disimpulkan bahwa, jika terdapat korelasi antar respons, estimator maksimum likelihood pada MNL menjadi bias.
Ontology implementation within e-Learning Personalization System Bernard Renaldy Suteja; Suryo Guritno; Retantyo Wardoyo; Ahmad Asharit
CCIT Journal Vol 3 No 3 (2010): CCIT JOURNAL
Publisher : Universitas Raharja

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (5944.643 KB) | DOI: 10.33050/ccit.v3i3.702

Abstract

Website adalah realisasi dari teknologi internet. Saat ini, seperti yang terlihat dari tren penggunaan, situs web telah berevolusi. Pada awalnya, situs hanya mengadopsi kebutuhan untuk mencari dan browsing informasi. Langkah awal peningkatan website sering dikenal sebagai teknologi 1,0 web. Saat ini, teknologi web 2.0 telah memungkinkan interaksi baik antar web-ke-web. Jenis interaksi seperti mengubah in formasi (sharing), dalam bentuk dokumen (SlideShare), gambar flickr), atau video (Youtube), informasi eksploitasi (wikipedia), dan juga penciptaan komunitas online (weblog, forum web) terutama layanan yang melibatkan masyarakat (inti dari web 2.0). Hal ini membawa dampak dan disebabkan oleh peningkatan interaksi sosial di dunia maya yang luas (internei) yang diikuti oleh munculnya interaksi pembelajaran dan pelatihan di mana seja-kapan saja yang disebut sebagai e-Learning. Pada dasarnya, belajar online memerlukan metode belajar mandiri dan kebiasaan belajar, yang sayangnya dimiliki oleh beberapa sumber daya manusia Indonesia. Kondisi yang terburuk dengan adanya sistem e-Learning sistem adalah karena e-Learning hanya bei fokus pada proses pengiriman konten substansi pembelajaran yang sama terhadap pelajar, meninggalkan aspek kognitif dan tidak menawarkan pendekatan atau pengalaman sendiri belajar interaktif dan juga meninggalkan adaptasi aspek pengguna dengan sistem. Oleh karena itu, agar e-Learning di Indonesia sukses diperlukan sistem e-Learning yang menerapkan teknologi web 2.0 agar para pelajar secara aktif berpartisipasi dan sistem yang menekankan personalisasi seperti kemampuan komprehensif, adaptif untuk tingkat kemampuan pelajar dan pengetahuan yang memiliki dukungan sumber daya. Dalam sistem e-Learning yang dibangun, ontologi akan diterapkan sebagai representasi makna pengetahuan dibentuk oleh para pelajar yang menggunakan sistem.
SISTEM ONTOLOGI E-LEARNING BERBASIS SEMANTIC WEB Bernard Renaldy Suteja; Suryo Guritno; Retantyo Wardoyo; Ahmad Ashari
Jurnal Ilmu Komputer dan Informasi Vol 2, No 1 (2009): Jurnal Ilmu Komputer dan Informasi (Journal of Computer Science and Information)
Publisher : Faculty of Computer Science - Universitas Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (889.058 KB) | DOI: 10.21609/jiki.v2i1.120

Abstract

E-learning content being a barrier for e-learning is no longer true on todays Internet. The current concerns are how to effectively annotate and organize the available content (both textual and non-textual) to facilitate effective sharing, reusability and customization. In this paper, we explain a component-oriented approach to organize content in an ontology. We also illustrate our 3-tier e-learning content management architecture and relevant interfaces. We use a simple yet intuitive example to successfully demonstrate the current working prototype which is capable of compiling personalized course materials. The e-learning system explained here uses the said ontology.
Fuzzy Simple Additive Weighting Untuk Diagnosis Penyakit Pneumonia Muhammad Syaukani; Suryo Guritno
Jurnal Buana Informatika Vol. 4 No. 1 (2013): Jurnal Buana Informatika Volume 4 Nomor 1 Januari 2013
Publisher : Universitas Atma Jaya Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24002/jbi.v4i1.328

Abstract

Abstract. Pneumonia is an infection of the lungs that is caused by bacteria, viruses, fungi, or parasites. It is characterized primarily by inflammation of the alveoli in the lungs or by alveoli that are filled with fluid (alveoli are microscopic sacs in the lungs that absorb oxygen). The shortage of medical personnel at health community centers to serve a population often results in care delays for pneumonia patients. The purpose of this research is to make a modelling of group decision support system in diagnosing pneumonia in adult patients. The system is designed as a tool for medical personnel in diagnosing pneumonia patients.Group Decision Support System (GDSS) is developed by using Fuzzy Simple Additive weighting methods. The preference scoring of three experts i.e. a pulmonary specialist, an internist and a pharmacist is carried out by applying triangular fuzzy numbers. In the aggregation stage, preferences makes use of Fuzzy Linguistic quantifier, stage rangking employs Simple Additive Weighting while Forward Chaining is employed in the inference process. The system is tested by inputting the symptoms of pneumonia without the involvement of an expert. The results shows that the system is capable in diagnosing pneumonia.Keywords: GDSS, Fuzzy, Simple Additive Weighting, Pneumonia Abstrak. Pneumonia adalah infeksi paru-paru yang disebabkan oleh bakteri, virus, jamur, atau parasit. Hal ini ditandai terutama oleh peradangan alveoli di paru-paru atau alveoli yang berisi cairan (alveoli adalah kantung mikroskopis di paru-paru yang menyerap oksigen), terbatasnya tenaga medis di puskesmas disbanding dengan jumlah penduduk berakibat sering terlambatnya pelayanan terhadap pasien pneumonia. Tujuan penelitian ini adalah membuat pemodelan sistem pendukung keputusan kelompok untuk mendiagnosis pasien pneumonia pada orang dewasa. Sistem ini dirancang sebagai alat bantu tenaga medis dalam mendiagnosis pasien pneumonia. Sistem Pendukung Keputusan Kelompok (SPKK) dikembangkan menggunakan metode Fuzzy Simple Additive Weighting. Pemberian nilai preferensi tiga orang pakar antara lain ahli paru-paru, ahli internis dan ahli farmasi menggunakan bilangan fuzzy segitiga. Pada tahap agregasi preferensi digunakan Fuzzy Linguistic Quantifier, tahap perangkingan menggunakan Simple Additive Weighting dan proses inferensi menggunakan Forward Chaining. Sistem diuji dengan cara memasukkan gejala-gejala pneumonia tanpa melibatkan seorang pakar. Hasil penelitian menunjukkan bahwa sistem dapat mendiagnosis penyakit pneumonia.Kata Kunci: SPKK, Fuzzy, Simple Additive Weighting, Pneumonia
Ordinal Regression Model using Bootstrap Approach Bambang Widjanarko Otok; M. Sjahid Akbar; Suryo Guritno; Subanar Subanar
Jurnal ILMU DASAR Vol 8 No 1 (2007)
Publisher : Fakultas Matematika dan Ilmu Pengetahuan Alam Universitas Jember

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Abstract

The aim of the research content three part, thus a to know misclassification and model discriminant analysis with bootstrap approach, model regression ordinal with bootstrap approach, and model MARS with bootstrap approach. The data used is data of secondary related to matrix variance covariance is same and unequal that is (The data worker standard of living and banking performance). The result of this research shows that in determining distinguishing variable between groups there are difference of variable at each method. This matter because of at each method has specification either from fulfilled of assumption and also estimation its. So also at accuracy of classification between groups there is difference especially at matrix of variance covariance unequal at worker standard of living case. As a whole can be concluded that the problem accuracy of classification bootstrap approach at each method give small mistake of goodness at matrix variance covariance unequal and equal.Keywords: classification, bootstrap, discriminant analysis, ordinal regression, MARS.
Estimating Parameters of Logit Model on Multivariate Binary Response Using Mle and Gee Jaka Nugraha; Suryo Guritno; Sri Haryatmi
Jurnal ILMU DASAR Vol 10 No 1 (2009)
Publisher : Fakultas Matematika dan Ilmu Pengetahuan Alam Universitas Jember

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Abstract

In this paper, we discuss binary multivariate response modeling based on extreme value distribution. Independent variables used in these models are some attributes of the alternative (labeled Zijt) and some attributes of the decision maker (labeled Xi). We assumed that n the decision maker observed with T response. Yit is tnd response variables from decision maker i and value Yit is binary. Response of decision maker i can be expressed as Yi = (Yi1,...,YiT). In each of the decision maker, we have data (Yi, Xi, Zi). Models are derived by the assumption that maximum random utility which the decision maker i choose one of the alternatives having greatest utility. Methods of parameter estimation are Maximum Likelihood Estimator (MLE) method and Generalized Estimating Equation (GEE). First discussion in this study is the estimation by MLE with independent assumption among response and then the MLE estimation using joint distribution by Bahadur’s representation. By MLE and GEE, estimating equations are obtained and solved by numerical (like’s Newthon-Rahpson method) in the condition that not all of the parameters of individual attributes can be estimated (identified). Based on testing simulation data with R.2.5.0, we recommend (a) in low correlation, GEE is better than MLE (b) in moderate correlation, MLE is most efficient but not stable (c) in high or moderate correlation, MLE and GEE should be used (d) correlation estimators cannot explain the real correlation because of its bias.
Statistical Inference for Modeling Neural Network in Multivariate Time Series Dhoriva Urwatul Wutsqa; Subanar Subanar; Suryo Guritno; Zanzawi Soejoeti
Jurnal ILMU DASAR Vol 9 No 1 (2008)
Publisher : Fakultas Matematika dan Ilmu Pengetahuan Alam Universitas Jember

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Abstract

We present a statistical procedure based on hypothesis test to build neural networks model in multivariate time series case. The method involved strategies for specifying the number of hidden units and the input variables in the model using inference of R2 increment. We draw on forward approach starting from empty model to gain the optimal neural networks model. The empirical study was employed relied on simulation data to examine the effectiveness of inference procedure. The result showed that the statistical inference could be applied successfully for modeling neural networks in multivariate time series analysis.
PENTINGNYA PENERAPAN IMO RESOLUTION A.918 (22) TENTANG STANDARD MARINE COMMUNICATION PHRASES BAGI DECK OFFICER DI KAPAL Suryo Guritno
JURNAL SAINS DAN TEKNOLOGI MARITIM VOLUME XVII, NOMOR 1, SEPTEMBER 2017
Publisher : UNIMAR AMNI Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (193.133 KB) | DOI: 10.33556/jstm.v0i1.154

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Progress in technology has make a method of delivery of goods that more and more efficient and effective of various modes of transportation. For four the last decade, the number of estimates trade in the sea has increase fourfold , from 8 trillion tons a nautical miles in 2008 (ICS : 2010). Throughout the 20th century , shipping industry the world has experienced the trend of increased the total volume of trade. The industrialized and liberalization the various peoples  triggered free trade and increasing demand for consumer products. In spite of multilateral diplomatic problems among nations , the development of world economy was advanced has caused the limits of the country began disguised, trade ships with any nationality , can be easily do their activities in any country , a ship that is manned by sailors of another race will interact with the parties outside the ship which certainly have different languages. The importance of english language proficiency in this context is to support boat safety because of several factors the case study of an accident of a vessel which is often occur because of a misunderstanding in communications where take care of less officer to take control of the english that well. The problems discussed in this journal is communication between a ship or bridge to bridge communication , and interen vessel in communication related to operational above a ship. Where the data in extract derived from case study accident a ship which occurs becausemisunderstanding different language used above the ship it self .Keywords : Brige to Bridge, shipwreck, Deck Officer, Marine Communication StandardKemajuan teknologi telah membuat metode pengiriman barang yang semakin efisien dan efektif dari berbagai moda transportasi. Selama empat dekade terakhir, jumlah perkiraan perdagangan di laut telah meningkat empat kali lipat, dari hanya 8 triliun ton per mil laut pada tahun 2008 (ICS : 2010). Sepanjang abad ke-20, industry perkapalan dunia telah mengalami kecenderungan peningkatan total volume perdagangan. Meningkatnya industrialisasi dan liberalisasi ekonomi berbagai bangsa telah memicu perdagangan bebas dan miningkatnya permintaan untuk produk-produk konsumen. Terlepas dari persoalan diplomatik multilateral antar bangsa, perkembangan ekonomi dunia yang begitu pesat telah menyebabkan batas-batas negara mulai tersamarkan, kapal-kapal niaga dengan kebangsaan manapun, dapat dengan mudah melakukan kegiatannya di negara manapun, yang berarti suatu kapal yang diawaki oleh pelaut dari bangsa lain akan berinteraksi dengan pihak-pihak di luar kapalnya yang tentu saja memiliki bahasa yang berbeda. Pentingnya penguasaan bahasa Inggris dalam hal ini adalah untuk menunjang keselamatan kapal karena adanya beberapa faktor studi kasus kecelakaan kapal yang sering terjadi karena adanya kesalahpahaman dalam berkomunikasi dimana perwira jaga kurang menguasai bahasa Inggris dengan baik. Permasalahan yang akan dibahas pada jurnal ini adalah komunikasi antar kapal atau Bridge to Bridge Communication, maupun interen vessel in communication yang berhubungan erat dengan operasional diatas kapal. Dimana data yang di ambil berasal dari studi kasus kecelakaan kapal yang terjadi karena kesalahpahaman perbedaan bahasa yangdigunakan di atas kapal itu sendiri.Kata kunci : Komunikasi antar kapal, Kecelakaan kapal, Deck Officer, Standard MarineCommunication
SERVICE CHARTERS (MAKLUMAT PELAYANAN) SEBAGAI SUATU INSTRUMEN DALAM MENINGKATKAN KUALITAS PELAYANAN PUBLIK OLEH PEMERINTAH Suryo Guritno
Jurnal Ilmu Administrasi: Media Pengembangan Ilmu dan Praktek Administrasi Vol. 6 No. 3 (2009): Jurnal Ilmu Administrasi
Publisher : Sekolah Tinggi Ilmu Administrasi Lembaga Administrasi Negara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31113/jia.v6i3.368

Abstract

The notion of service charters in terms of public service and bureaucratic reform in Indonesia is relatively a new thing compared to other countries. The issuance of Law No.25/2009 regarding Public Service has been imposing Government/Local Government to use service charters as a written statement that consists of detail obligations and promises to comply with service standard. In order the service charters to be effective and efficient, it is important for us to understand thephilosophy, concept and background of the service charters themselves. This paper is also intended to provide a picture on the concept, background, other countries’ experiences, and efforts by Indonesian government to implement the service charters to enhance their service delivery. Furthermorer, this paper will discuss problems on service charter implementation and analyze the effectiveness of service charters in delivering a sound public service.