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All Journal Jurnal Informatika Jurnal Teknik Elektro Jurnal Titra Record and Library Journal Jurnal Teknik Industri: Jurnal Keilmuan dan Aplikasi Teknik Industri Surya Abdimas Journal of Documentation and Information Science International Journal of Industrial Optimization (IJIO)

Siana Halim

Fakulty of Industrial Technology,Industrial Engineering Department, Petra Christian University, Jl. Siwalankerto 121-131, Surabaya 60236

Author-ID : 273217

Humanities Computer Science & IT Decision Sciences, Operations Research & Management Education Electrical & Electronics Engineering Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Library & Information Science Social Sciences Other

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PETA KENDALI X DENGAN UKURAN SAMPEL DAN INTERVAL PENGAMBILAN SAMPEL YANG BERVARIASI Pauline Astari Singgih; Siana Halim; Tanti Octavia
Jurnal Teknik Industri: Jurnal Keilmuan dan Aplikasi Teknik Industri Vol. 2 No. 2 (2000): DESEMBER 2000
Publisher : Institute of Research and Community Outreach - Petra Christian University

Shewhart X chart is widely used in statistical process control for monitoring variable data and has shown good performance in detecting large mean shift but less sensitive in detecting moderate to small process shift. X chart with variable sample size and sampling interval (VSSI X chart) is proposed to enhance the ability of detecting moderate to small process shift. The performance of VSSI X chart is compared with those of Shewhart X chart, VSS X chart (Variable Sample Size X chart) and VSI X chart (Variable Sampling Interval X chart). Performance of these control charts is presented in the form of ATS (Average Time to Signal) which is obtained from computer simulation and markov chain approach. The VSSI X chart shows better performance in detecting moderate mean shift. The simulation is then continued for VSSI X chart and VSS X chart with minimum sample size n 1=1 and n 1=2. Abstract in Bahasa Indonesia : Peta kendali X Shewhart telah umum digunakan dalam pengendalian proses statistis untuk data variabel dan terbukti berfungsi dengan baik untuk mendeteksi pergeseran rerata yang besar, namun kurang cepat dalam mendeteksi pergeseran rerata yang sedang hingga kecil. Untuk mengatasi kelemahan ini, diusulkan penggunaan peta kendali X dengan ukuran sampel dan interval pengambilan sampel yang bervariasi (peta kendali VSSI). Kinerja peta kendali X VSSI dibandingkan dengan kinerja peta kendali Shewhart, peta kendali X VSS (peta kendali X dengan ukuran sampel yang bervariasi), dan peta kendali X VSI (peta kendali X dengan interval waktu pengambilan sampel yang bervariasi). Kinerja peta kendali dinyatakan dalam nilai ATS (Average Time to Signal) yang didapatkan dari hasil simulasi program komputer maupun perhitungan Rantai Markov. Peta kendali X VSSI terbukti mempunyai kinerja yang lebih baik dalam mendeteksi pergeseran rerata yang sedang. Selain itu juga disimulasikan penggunaan peta kendali X VSSI dan peta kendali X VSS dengan ukuran sampel minimum n1=1 dan n1=2. Kata kunci: peta kendali X, variable sample size, variable sampling interval, ATS.

PENERAPAN JARINGAN SARAF TIRUAN UNTUK PERAMALAN Siana Halim; Adrian Michael Wibisono
Jurnal Teknik Industri: Jurnal Keilmuan dan Aplikasi Teknik Industri Vol. 2 No. 2 (2000): DESEMBER 2000
Publisher : Institute of Research and Community Outreach - Petra Christian University

Many methods have been developed to get the optimal result in forecasting. One of them that will be used in this paper is using Neural Network for forecasting. The result will be compared with GARCH(1,1) in the terms of Means Absolute Deviation (MAD) and Means Square Error (MSE). Besides that the accuracy and the power to damp the jump will be observed. The data is currency rate from 4 countries in Asia taken during the Asian Monetary Crisis from 1997 up to 1999 since the jump was happened in that series. Abstract in Bahasa Indonesia : Ada banyak metode yang telah dikembangkan untuk mencapai hasil yang optimal dari suatu peramalan. Salah satu yang akan diulas pada makalah ini adalah penggunaan Neural Network atau jaringan saraf untuk mendapatkan hasil peramalan yang diharapkan dapat meningkatkan optimasi dan akurasinya. Hasil dari metode ini akan dibandingkan dengan metode GARCH(1,1) dalam bentuk Means Absolute Deviation (MAD) dan Means Square Error (MSE). Selain itu dilakukan pula pengamatan terhadap peredaman jump (perubahan mendadak). Data yang digunakan adalah nilai tukar mata uang dari empat negara di Asia yang diambil selama krisis moneter di Asia. Kata Kunci: Backpropagation, MAD, MSE, GARCH(1,1), jump.

APLIKASI MARKOV RANDOM FIELD PADA MASALAH INDUSTRI Siana Halim
Jurnal Teknik Industri: Jurnal Keilmuan dan Aplikasi Teknik Industri Vol. 4 No. 1 (2002): JUNE 2002
Publisher : Institute of Research and Community Outreach - Petra Christian University

Markov chain in the stochastic process is widely used in the industrial problems particularly in the problem of determining the market share of products. In this paper we are going to extend the one in the random field so called the Markov Random Field and applied also in the market share problem with restriction the market is considered as a discrete lattice and Pott's models are going to be used as the potential function. Metropolis sampler is going to be used to determine the stability condition. Abstract in Bahasa Indonesia : Rantai Markov dalam proses stokastik seringkali digunakan dalam penyelesaian masalah industri khususnya dalam masalah penentuan market share. Dalam artikel ini akan dibahas perluasan Rantai Markov tesebut ke dalam sebuah random field yang disebut sebagai Markov Random Field (MRF) yang juga akan diaplikasikan pada masalah market share dengan batasan daerah pemasarannya dianggap sebagai sebuah lattice diskrit dan fungsi potensial yang akan digunakan adalah Potts models. Akan digunakan Metropolis sampler untuk menentukan kondisi stabil. Kata kunci: proses stokastik, Markov Random Field, Gibbs Random Field, Potts model, Metropolis sampling.

PENDEKATAN MODEL MATEMATIS UNTUK MENENTUKAN PERSENTASE MARKUP HARGA JUAL PRODUK Oviliani Yenty Yuliana; Yohan Wahyudi; Siana Halim
Jurnal Teknik Industri: Jurnal Keilmuan dan Aplikasi Teknik Industri Vol. 4 No. 2 (2002): DECEMBER 2002
Publisher : Institute of Research and Community Outreach - Petra Christian University

The purpose of this research is to design Mathematical models that can determine the selling volume as an alternative to improve the markup percentage. Mathematical models was designed with double regression statistic. Selling volume is a function of markup, market condition, and substitute condition variables. The designed Mathematical model has fulfilled by the test of: error upon assumption, accurate model, validation model, and multi collinear problem. The Mathematical model has applied in application program with expectation that the application program can give: (1) alternative to decide percentage markup for user, (2) Illustration of gross profit estimation that will be achieve for selected percentage markup, (3) Illustration of estimation percentage of the units sold that will be achieve for selected percentage markup, and (4) Illustration of total net income before tax will get for specific period. Abstract in Bahasa Indonesia : Penelitian ini bertujuan untuk merancang model Matematis guna menetapkan volume penjualan, sebagai alternatif untuk menentukan persentase markup harga jual produk. Model Matematis dirancang menggunakan Statistik Regresi Berganda. Volume penjualan merupakan fungsi dari variabel markup, kondisi pasar, dan kondisi pengganti. Model Matematis yang dirancang sudah memenuhi uji: asumsi atas error, akurasi model, validasi model, dan masalah multikolinearitas. Rancangan model Matematis tersebut diterapkan dalam program aplikasi dengan harapan dapat memberi: (1) alternatif bagi pengguna mengenai berapa besar markup yang sebaiknya ditetapkan, (2) gambaran perkiraan laba kotor yang akan diperoleh setiap pemilihan markup, (3) gambaran perkiraan persentase unit yang terjual setiap pemilihan markup, dan (4) gambaran total laba kotor sebelum pajak yang dapat diperoleh pada periode yang bersangkutan. Kata kunci: model Matematis, aplikasi program, volume penjualan, markup, laba kotor.

PENGGUNAAN BOOTSTRAP DATA DEPENDEN UNTUK MEMBANGUN SELANG KEPERCAYAAN PADA PARAMETER MODEL PERAMALAN DATA STASIONER Siana Halim; Herman Mallian
Jurnal Teknik Industri: Jurnal Keilmuan dan Aplikasi Teknik Industri Vol. 8 No. 1 (2006): JUNE 2006
Publisher : Institute of Research and Community Outreach - Petra Christian University

The Bootstrap is a lively research area. A lot Of ideas are around and have let to quiet different proposals. In this paper we sketch briefly some Bootstrap methods for independent and dependent data. Finally we give an Bootstrap example for constructing confidence interval in the forecasting for stationer data. Abstract in Bahasa Indonesia : Bootstrap merupakan area penelitian yang terus berkembang. Ada banyak ide dan proposal-proposal yang berbeda telah diberikan oleh para peneliti. Namun demikian, dalam makalah ini hanya akan diulas secara singkat beberapa metode Bootstrap untuk data independen maupun data dependen. Akhirnya akan diberikan sebuah contoh kasus penggunaan Bootstrap untuk membangun selang kepercayaan pada peramalan data stasioner. Kata kunci: Bootstrap, resampling, peramalan

FUNGSI-FUNGSI KERNEL PADA METODE REGRESI NONPARAMETRIK DAN APLIKASINYA PADA PRIEST RIVER EXPERIMENTAL FORESTS DATA Siana Halim; Indriati Bisono
Jurnal Teknik Industri: Jurnal Keilmuan dan Aplikasi Teknik Industri Vol. 8 No. 1 (2006): JUNE 2006
Publisher : Institute of Research and Community Outreach - Petra Christian University

In this paper we discuss some models for estimating the regression function, provided the data Y is given. The programming of these function are presented as well as the "tricks" in the R- programming, a statistical freeware. We applied these models to The Priest River Experimental Forest's data. Abstract in Bahasa Indonesia : Dalam paper ini akan diberikan beberapa model untuk mengestimasi fungsi regresi bila sebuah data Y diberikan. Pembuatan fungsi - fungsi estimasti tersebut juga diberikan dengan menggunakan freeware statistik R dan juga diberikan beberapa trik dalam pemrograman. Model-model ini diaplikasikan pada Priest River Experimental Forest's data. Kata kunci: regresi nonparametrik, smoothing, kernel, R.

REGRESSION ANALYSIS OF PRODUCTIVITY USING MIXED EFFECT MODEL Siana Halim; Indriati N Bisono
Jurnal Teknik Industri: Jurnal Keilmuan dan Aplikasi Teknik Industri Vol. 9 No. 2 (2007): DECEMBER 2007
Publisher : Institute of Research and Community Outreach - Petra Christian University

Production plants of a company are located in several areas that spread across Middle and East Java. As the production process employs mostly manpower, we suspected that each location has different characteristics affecting the productivity. Thus, the production data may have a spatial and hierarchical structure. For fitting a linear regression using the ordinary techniques, we are required to make some assumptions about the nature of the residuals i.e. independent, identically and normally distributed. However, these assumptions were rarely fulfilled especially for data that have a spatial and hierarchical structure. We worked out the problem using mixed effect model. This paper discusses the model construction of productivity and several characteristics in the production line by taking location as a random effect. The simple model with high utility that satisfies the necessary regression assumptions was built using a free statistic software R version 2.6.1.

PENENTUAN HARGA JUAL HUNIAN PADA APARTEMEN DI SURABAYA DENGAN MENGGUNAKAN METODE REGRESI SPASIAL Siana Halim; Njo Anastasia; Agnes Eval; Aida Fitriani Tobing
Jurnal Teknik Industri: Jurnal Keilmuan dan Aplikasi Teknik Industri Vol. 10 No. 2 (2008): DECEMBER 2008
Publisher : Institute of Research and Community Outreach - Petra Christian University

In the modern society, apartments are one of the answers to the need of residential for the citizens due to limited area for landed housing and over crowded city for businesses. Therefore, it will be very interested to investigate the price of appartements, since they are not only influenced by, e.g., physical factors, location, external factor and distance to the central business district, but also they have dependency to the price of other appartements in the neighborhoods. This dependency is called the spatial dependency; to accommodate this dependency to model the price of apartemen by ordinary least square is not enough. Therefore, in this research we used the spatial regresion to model the price of appartements, particularly in Surabaya. Abstract in Bahasa Indonesia: Dalam masyarakat modern, apartemen merupakan salah satu jawaban akan kebutuhan tempat tinggal bagi warga kota, karena adanya keterbatasan lahan untuk perumahan dan kota yang padat dengan daerah bisnis. Oleh karena itu sangatlah menarik untuk menginvestigasi harga apartemen, karena mereka tidak hanya tergantung pada, misalnya, faktor fisik, lokasi, faktor eksternal dan jarak ke pusat bisnis, tetapi juga tergantung pada harga apartemen di daerah sekitarnya. Ketergantungan ini disebut dengan ketergantungan spasial. Untuk mengakomodasi ketergatungan ini memodelkan harga jual apartemen dengan menggunakan metode regresi linear biasa tidaklah cukup. Pada penelitian ini, akan digunakan model regresi spasial untuk memodelkan harga apartemen khususnya di Surabaya. Kata kunci: Ordinary Least Square (OLS), Spatial Regresion, Spatial Auto Regresion (SAR).

Pemetaan Penderita Pneumonia di Surabaya dengan Menggunakan Geostatistik Stefanie Hartanto; Siana Halim; Oviliani Yenty Yuliana
Jurnal Teknik Industri: Jurnal Keilmuan dan Aplikasi Teknik Industri Vol. 12 No. 1 (2010): JUNE 2010
Publisher : Institute of Research and Community Outreach - Petra Christian University

In this paper we mapped the location of Pneumonia disease in Surabaya. We also analyse the survival of the afflicted and predict the spread of the disease using Kriging. The study reveals that after 45 days in the hospital, the survival of the Pneumonia’s patients decrease to 46.8%. Moreover, the centers of this disease are in Tubanan and Sukomanunggal Both of these regions are in West Surabaya which also is an industrial part of the city.

Pemodelan Time Series Multivariat secara Automatis Siana Halim; Arif Chandra
Jurnal Teknik Industri: Jurnal Keilmuan dan Aplikasi Teknik Industri Vol. 13 No. 1 (2011): JUNE 2011
Publisher : Institute of Research and Community Outreach - Petra Christian University

This research aims at establishing model of multivariate time series by means of econometric instruments. Four instruments in use are vector auto regressive (VAR), structural vector auto regressive (SVAR), vector error correction model (VECM), and structural vector error correction (SVEC). VAR and VECM are employed to estimate and construct models and, subsequently, predict the future values of an object. SVAR and SVEC serve to analyze innovative structures of a model. VAR and SVAR can be implemented only to stationary data whilst VECM and SVEC can be applied to non-stationary inputs. The identification and estimation of the model in this research are specifically designed by R software. Based on this software, all the aforestated models are conclusively able to identify dynamic relationship of endogenous variabel in a model well.

Co-Authors Adrian Michael Wibisono Adrian Michael Wibisono Agnes Eval Agnes Eval Agustin, Karina Aida Fitriani Tobing Aida Fitriani Tobing Aileen Tusita Devi Alexander William Brillianata Setiadi Amanda, Shea Amelia Agnes Sunjono, Amelia Agnes Arif Chandra Arif Chandra Christian Evan Budiawan Cicely Elviani David Christian, David David Soebiantoro Della Suci Anggraini Demmy Kasih, Demmy Derried Anwar Dian Wulandari Felecia - Felecia . Felecia . Felecia Felecia Felicia Tedja Widjaja, Felicia Tedja Gan, Shu-San Genesius Chandra Hendrik Sumawi Herman Mallian Herman Mallian Indriati Bisono Indriati Bisono Indriati N Bisono Indriati N Bisono Inggrid -, Inggrid Inggrid Inggrid Jani Rahardjo Jani Rahardjo Jeremia Jeremia Joey, Vitover Johan Widjaja Julio, Felix Karina Agustin Kresnayana Yahya Kristina Sanjaya Putri Kriswanto Widiawan Njo Anastasia Olivia Sigit, Olivia Oviliani Yenty Yuliana Pauline Astari Singgih Pauline Astari Singgih Putri, Kristina Sanjaya Reyner Shenjaya Giri Putra Riyyan Adiputra Sabar Kristianto Shirley Adelia Shirley Adelia Stefanie Hartanto Stefanie Hartanto Steven Davian Tan Didik Wardoyo Tanusi Tanjung, Sean Yonathan Tanti Octavia Tanti Octavia Valencia Suseno Vanni, Angelina veronica - Yohan Wahyudi Yohan Wahyudi Yuliana Vina Humira

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