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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
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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Reliability Centered Maintenance di PT. X Sigit, Olivia; Halim, Siana
Jurnal Titra Vol 3, No 2 (2015)
Publisher : Jurnal Titra

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (78.005 KB)

Abstract

The breakdown machines in the production process at PT. X especially in the Material Mixture Division are occurred quite often. During January to February 2015, those machines 23 times (22.5%) are breakdowns. Therefore, the objective of this research is to design the right maintenance strategy in particularly for machines which have longest downtime. Reliability Centered Maintenance (RCM) with Dempster-Shafer approach is used to solve this problem, since the company does not have historical data. As the results, replacement and condition based maintenance are chosen. Those strategies are the most appropraite and possible ones strategies to be applied in PT. X.
Library for the Digital Natives Generation: What to do? Halim, Siana; Wulandari, Dian; Kasih, Demmy; -, Felecia; -, Inggrid
Record and Library Journal Vol 2, No 1 (2016): Januari - Juni
Publisher : Universitas Airlangga

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (26.491 KB) | DOI: 10.20473/rlj.v1i3.2127

Abstract

Nowadays, people do not need to go to the library for searching knowledge or information. World has changed. We come to the new generation that so called as digital native generation. Information can be searched through the gadgets on hands which is connected to the internet. Then question comes, is the library still important? What should the library do? It is no wonder that most of the libraries have been decreasing its number of visitors as well as its number of books that out of the shells. This paper describes the characteristics of the digital native, people habit in learning and reading books.  It also summarizes some discussions among the heads of the three university libraries in Surabaya, i.e, Intitut Teknologi Sepuluh (ITS) Nopember Surabaya, Petra Christian University (PCU), Surabaya Universities (Ubaya). The results of the discussion show that library has to be changed so that they can accommodate the needs of the digital native. It is not only the place for borrowing books, but also the place for doing discussion, watching videos and listening to audios, and of course the online materials must be provided to encounter the decreasing visitors.
Library for the Digital Natives Generation: What to do Halim, Siana; Wulandari, Dian; Kasih, Demmy; Felecia, Felecia; Inggrid, Inggrid
Record and Library Journal Vol 2, No 1 (2016)
Publisher : D3 Teknisi Perpustakaan Fakultas Vokasi Universitas Airlangga

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (797.002 KB) | DOI: 10.20473/rlj.V2-I1.2016.58-63

Abstract

Nowadays, people does not need to go to the library for searching knowledge or information. World does change. We come to the new generation that so called as digital native generation. Information can be search through the gadgets on hands which connected to the internet. Then comes the question. Is the library still important? What the library should do? It is no wonder that most of the libraries have decreasing number of visitors as well as decreasing number of books that out of the shells. This paper describes the characteristics of the digital native, their habit in learning and reading books.  It also summarized some discussions among the head of the three university libraries in Surabaya, i.e, Intitut Teknologi Sepuluh (ITS) Nopember Surabaya, Petra Christian University (PCU), Surabaya Universities (Ubaya). The results of the discussion shows, that library has to be changed so that they can accommodate the needs of the digital native. It is not only the place for borrowing books, but also the place for doing discussion, watching videos and listening to audios, and of course the online materials must be provided to encounter the decreasing visitors.
MENATA ULANG LAYOUT FASILITAS PERPUSTAKAAN UNIVERSITAS KRISTEN PETRA SESUAI KEBUTUHAN GENERASI DIGITAL NATIVE Felecia, Felecia; Wulandari, Dian; Halim, Siana
Journal of Documentation and Information Science Vol 2, No 2 (2018): September
Publisher : Association of Indonesian Library and Information Professionals

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1070.921 KB) | DOI: 10.33505/jodis.v2i2.137

Abstract

One aspect of library quality is as ?library as a place?. As the main aspect that influences customer satisfaction, the library as a place needs to get attention from the library including structuring the layout of library facilities. This study aims to determine the layout of library facilities according to the needs of the native digital generation at the Christian Petra University Library. If library facilities are arranged with a good layout, there will be an increase in productivity, work efficiency and will have an impact on customer satisfaction. The Head of the Library and/or structural officials were chosen as respondents because they were more aware of the relationship between the sections and understood the needs of the generation of digital natives currently served. The method used in this study is systematic layout planning by adopting the ARC (Activity Relationship Chart) technique to show the level of importance between departments/sections, and the results will be used as a replacement of flows between departments/sections. CRAFT is used as a computer simulation tool to improve facility layout (re-layout) by minimizing the moment of movement between facilities. The results showed that it was necessary to rearrange Petra?s UK library facilities on each floor, in which the results of this study was surely tested through a questionnaire for students who were digital native generation and were the largest users of the library.
MODIFIED ISING MODEL FOR GENERATING BINARY IMAGES Halim, Siana
Jurnal Informatika Vol 8, No 2 (2007): NOVEMBER 2007
Publisher : Institute of Research and Community Outreach - Petra Christian University

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (389.053 KB) | DOI: 10.9744/informatika.8.2.pp. 115-118

Abstract

In this paper the Ising model is modified by considering its parameters as a vector that depends on the neighborhoods of the image's pixels. We applied this modification for generating binary images, provided the original image is given. An example is exposed as a result of simulation using Gibbs sampler.
Replikasi Signal dengan Menggunakan Metode Bootstrap Halim, Siana
Jurnal Teknik Elektro Vol 7, No 2 (2007): SEPTEMBER 2007
Publisher : Institute of Research and Community Outreach

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (282.848 KB) | DOI: 10.9744/jte.7.2.97-100

Abstract

Signal can be modeled as a periodic or a nonperiodic stochastic process. Therefore to replicate a signal, we should keep the original character of the signal as well as the random character in it. One of plausible methods for doing such kind of job is bootstrap. However, we should modify the boostrap to accomodate the dependency in the series and their periodicities. As the pre bootraping we need to detect the existence of periodicities in the series. Two methods are given for detecting the existence of periodicities, i.e. the Fisher classical statistic, and the Chiu statistic. At the end we give an illustration. We used simulated data for testing and replicating a signal. Abstract in Bahasa Indonesia : Signal dapat dimodelkan sebagai proses stokastik yang berperiode ataupun tidak berperiode. Untuk itu dalam mereplikasi sebuah signal, kita harus tetap menjaga karakter asli dari signal dan juga sifat keacakannya. Salah satu metode yang mungkin untuk dilakukan adalah bootstrap. Namun demikian, kita harus memodifikasi metode bootrap ini untuk mengakomodasi sifat ketergantungan dari series beserta periodisitasnya. Sebagai langkah awal dalam bootstrap ini diperlukan uji ada tidaknya periodisitas dalam signal. Diberikan dua metode untuk mendeteksi periodisitas, yaitu Fisher statistik dan Chiu statistik dan sebuah ilustrasi dengan menggunakan data simulasi untuk menguji dan mereplikasi sebuah signal. Kata kunci: bootstrap, periodogram, fisher statistic
Currency movement forecasting using time series analysis and long short-term memory Putri, Kristina Sanjaya; Halim, Siana
International Journal of Industrial Optimization Vol 1, No 2 (2020)
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (214.208 KB) | DOI: 10.12928/ijio.v1i2.2490

Abstract

Foreign exchange is one type of investment, which its goal is to minimize losses that could occur. Forecasting is a technique to minimize losses when investing. The purpose of this study is to make foreign exchange predictions using a time series analysis called Auto-Regressive Integrated Moving Average (ARIMA) and Long Short-term memory methods. This study uses the daily EUR / USD exchange rates from 2014 to March 2020. The data are used as the model to predict the value of the foreign exchange market in April 2020. The model obtained will be used for predictions in April 2020, where the RMSE values obtained from time series analysis (ARIMA) with a window size of 100 days and LSTM sequentially as follows 0.00527 and 0.00509. LSTM produces lower RMSE values than ARIMA. LSTM has better prediction results; this is because the LSTM has the ability to learn so that it can utilize a large amount of data while ARIMA cannot use it. ARIMA does not have the ability to learn even though given a large amount of data it gives poor forecasting results. The ARIMA prediction is the same as the values of the previous day.
Human Resources Continuous Improvement Performance Model dan Recognition & Reward Scheme: A Case Study Derried Anwar; Siana Halim
Jurnal Titra Vol 4, No 2 (2016): Jurnal Titra
Publisher : Jurnal Titra

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (449.287 KB)

Abstract

Continuous Improvement (CI) in PT. X’s Human Resources (HR) department has already been started for almost 2 years. However, HR didn’t have any mechanism to measure how good a department in doing CI. Moreover, a new way to increase employees’ spirit to contribute in CI by creating improvement ideas is also needed. HR CI Performance Model and Recognition & Reward Scheme are created as a measurement mechanism and to boost up CI spirit in HR. HR CI Performance Model is developed until two times to describe the current condition more appropriately. Recognition & Reward Scheme is created by Balance Scorecard theory. Both of these measurements can increase the amount of created improvement ideas by 25.3% and department participation by 22%. Additionally, some of managers and staffs also acknowledge the positive impacts of both of those measurements.
Currency movement forecasting using time series analysis and long short-term memory Kristina Sanjaya Putri; Siana Halim
International Journal of Industrial Optimization Vol. 1 No. 2 (2020)
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/ijio.v1i2.2490

Abstract

Foreign exchange is one type of investment, which its goal is to minimize losses that could occur. Forecasting is a technique to minimize losses when investing. The purpose of this study is to make foreign exchange predictions using a time series analysis called Auto-Regressive Integrated Moving Average (ARIMA) and Long Short-term memory methods. This study uses the daily EUR / USD exchange rates from 2014 to March 2020. The data are used as the model to predict the value of the foreign exchange market in April 2020. The model obtained will be used for predictions in April 2020, where the RMSE values obtained from time series analysis (ARIMA) with a window size of 100 days and LSTM sequentially as follows 0.00527 and 0.00509. LSTM produces lower RMSE values than ARIMA. LSTM has better prediction results; this is because the LSTM has the ability to learn so that it can utilize a large amount of data while ARIMA cannot use it. ARIMA does not have the ability to learn even though given a large amount of data it gives poor forecasting results. The ARIMA prediction is the same as the values of the previous day.
MODEL MATEMATIK UNTUK MENENTUKAN NILAI TUKAR MATA UANG RUPIAH TERHADAP DOLLAR AMERIKA Siana Halim; Shirley Adelia; Jani Rahardjo
Jurnal Teknik Industri: Jurnal Keilmuan dan Aplikasi Teknik Industri Vol. 1 No. 1 (1999): JUNE 1999
Publisher : Institute of Research and Community Outreach - Petra Christian University

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (107.816 KB) | DOI: 10.9744/jti.1.1.30-40

Abstract

The main objective of this paper is to estimate parameters in the heteroskedasticity models, particularly in Auto Regressive Conditional Heteroskedasticity - ARCH(1) and Generalized Autoregressive Conditional Heteroskedasticity- GARCH(1,1). These models will be used to fit, to forecast and to update the volatility of Rupiah Vs US.Dollar rate. In order to get the estimation of fitting and updating parameters of ARCH(1) and GARCH(1,1), here will be used iterative method which is derived from the standard maximum likelihood estimation and the initial values are taken from the result of Yule Walker Estimation. The updating parameters will be estimated by using the approach of ARIMA(p,d,q) updating parameters models. The heteroskedasticity models will give a good fitting even a good forecast in near stasioner condition, however this models can not detect the jump that can be happend due to the changes of political situation that happend in Indonesia. Abstract in Bahasa Indonesia : Tujuan utama dari penelitian ini adalah untuk menentukan nilai estimasi pada parameter-parameter yang terdapat pada model-model heteroskedastik, khususnya dalam Auto Regressive Conditional Heteroskedasticity - ARCH(1) dan Generalized Autoregressive Conditional Heteroskedasticity- GARCH(1,1). Model-model ini akan digunakan untuk menentukan, meramalkan dan memperbaharui nilai parameter dari nilai tukar mata uang Rupiah terhadap Dollar Amerika. Nilai estimasi pada model ARCH(1) dan GARCH(1,1) diperoleh dengan metode iteratif yang diturunkan dari estimasi maksimum likelihood baku dan nilai awalnya didapat dari pendekatan Yule Walker. Penentuan nilai parameter yang diperbaharui akan diestimasi dengan menggunakan pendekatan model ARIMA(p,d,q). Model-model heteroskedastik memberikan nilai pendekatan nilai tukar yang baik bahkan memberikan nilai peramalan yang baik pula, namun demikian model ini belum dapat mendeteksi terjadinya loncatan yang terjadi yang diakibatkan oleh perubahan situasi politik di Indonesia. Kata kunci: ARCH, GARCH, YWE, MLE, Heteroskedasticity
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