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All Journal Jurnal Titra Jurnal Teknik Industri
Siana Halim
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Industrial & Manufacturing Engineering

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Perancangan Sistem Planned Maintenance dan Man Power Planning di PT X David Soebiantoro; Siana Halim
Jurnal Titra Vol 1, No 2 (2013)
Publisher : Jurnal Titra

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (193.784 KB)

Abstract

The purposes of this thesis are designing a planned maintenance and man power planning in the maintenance department of PT X Previously, the PT X used breakdown and cor­rec­tive maintenance. The maintenance procedures will be revised into corrective main­tenance and when continuous pro­duction system is executed, corrective & preventive maintenance will be applied. For defining those procedures, first we identified the machines’ failure and redesign­ed the production system. Additionally, we propose four level of man power planning based on their skill and company management want it divide into four level.
Credit Scoring Modeling Siana Halim; Yuliana Vina Humira
Jurnal Teknik Industri: Jurnal Keilmuan dan Aplikasi Teknik Industri Vol. 16 No. 1 (2014): JUNE 2014
Publisher : Institute of Research and Community Outreach - Petra Christian University

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (384.616 KB) | DOI: 10.9744/jti.16.1.17-24

Abstract

It is generally easier to predict defaults accurately if a large data set (including defaults) is available for estimating the prediction model. This puts not only small banks, which tend to have smaller data sets, at disadvantage. It can also pose a problem for large banks that began to collect their own historical data only recently, or banks that recently introduced a new rating system. We used a Bayesian methodology that enables banks with small data sets to improve their default probability. Another advantage of the Bayesian method is that it provides a natural way for dealing with structural differences between a bank’s internal data and additional, external data. In practice, the true scoring function may differ across the data sets, the small internal data set may contain information that is missing in the larger external data set, or the variables in the two data sets are not exactly the same but related. Bayesian method can handle such kind of problem.
Peramalan Multivariate untuk Menentukan Harga Emas Global David Christian; Siana Halim
Jurnal Teknik Industri Vol. 18 No. 2 (2016): DECEMBER 2016
Publisher : Institute of Research and Community Outreach - Petra Christian University

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (392.687 KB) | DOI: 10.9744/jti.18.2.137-144

Abstract

Gold is one of the most enticing commodities and a very popular way of investing. Gold’s price is allegedly influenced by another factors such as US Dollar, oil’s price, inflation rate, and stock exchange so that its model is not only affected by its value. The aim of this research is to determine the best forecasting model and influencing factors to gold’s price. This research is modeling gold using multivariate analysis and reviews the univariate modeling as a benchmark and comparison to the multivariate one. Univariate time series is modeled using the ARIMA model which indicates that the fluctuation of the gold prices are following the white noise. Gold’s multivariate modeling is built using the Vector Error Correction Model with oil’s price, US Dollar and Dow Jones indices, and inflation rate as its predictors. Research’s result shows that the VECM model has been able to model the gold’s price well and all factors investigated are influencing gold’s price. US Dollar and oil’s price are negatively correlated with gold’s price as the inflation rate is positively correlated. Dow Jones Index is positively correlated with gold’s price only at its first two periods.
Upaya Peningkatan Kapasitas Produksi & Koeifisien Efisiensi Improvement di Proses K-Contactor Backend pada PT X Alexander Alfredo; Siana Halim
Jurnal Titra Vol 11, No 2 (2023): Jurnal Titra 11(2) Juli 2023
Publisher : Jurnal Titra

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Abstract

PT X is a company engaged in the electrical sector. This research was conducted to increase production capacity due to a surge in demand of 8% from the previous year for K-Contactor products. PT X has an average production of 342 contactors per hour and has been unable to meet the new K-Contactor production target. PT X wants to increase production capacity by 375 pcs per hour. The new target was given to meet the surge in demand. Then the company also wants to improve the Coefficient Efficiency rate towards 80%, which is currently still between 65-75%, which will automatically increase if the production target is reached, then the Coefficient Efficiency rate will automatically increase.
Perancangan Dashboard Persiapan Cabang untuk Go-Live ERP pada PT. X Clairine Susilo; Siana Halim
Jurnal Titra Vol 11, No 2 (2023): Jurnal Titra 11(2) Juli 2023
Publisher : Jurnal Titra

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Abstract

PT.X is a company engaged in gas manufacturing, which is carrying out an ERP system replacement project. This study discusses the design of branch readiness dashboards in the process of replacing ERP PT.X based on branch performance calculations. Branch performance displayed on the dashboard is calculated through several categories of activities that are often carried out by each branch, namely, scan filling, scan delivery, verification, delivery without barcodes, customer audits, and on-truck bottle balances. The dashboard consists of 1 page which is divided into 7 main tables where the 6 tables display detailed performance score figures for all PT.X branches for each category. Meanwhile, the last table displays the final calculation of the performance score for all branches. The branch readiness dashboard is designed to measure the performance of a branch whether it is ready or not in carrying out the ERP transformation process.
Evaluasi Rute Pelayaran Kapal dengan Pendekatan Modified Minimum Spanning Tree Felix Tjoea; Siana Halim
Jurnal Titra Vol 11, No 2 (2023): Jurnal Titra 11(2) Juli 2023
Publisher : Jurnal Titra

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Abstract

This research aims to optimize the shipping routes of the largest container shipping liner company in Indonesia. Route optimization is essential for improving the efficiency of the company in the face of increasingly intense business and industry competition. In this study, a multi-objective approach is used, considering both demand and distance factors. The proposed evaluation model utilizes a modified minimum spanning tree (MST) with probabilistic calculations based on historical data. The modification takes into account probabilistic factors derived from past data, enabling better decision-making.Additionally, for scenarios where the route needs to return to the depot, the Christofides algorithm is employed. The Christofides algorithm is used to solve the Traveling Salesman Problem (TSP), where the objective is to find the shortest path that visits all points and returns to the starting point. This algorithm is based on the MST. The results of the conducted case studies using this model show an improvement in the performance of shipping routes, with a 1.13% increase in ship utility and a 2.83% decrease in total distance. Therefore, it can be concluded that the evaluation model for shipping routes, employing a multiobjective approach, modified MST with probabilistic considerations, and the Christofides algorithm, can provide more efficient solutions and opportunities for operational improvements in the company.
Modified Pickup And Delivery-Capacitated Heterogeneous Vehicle Routing Problem Untuk Perancangan Rute Dan Alokasi Kapal Vitovern Joey Susila; Siana Halim
Jurnal Titra Vol 11, No 2 (2023): Jurnal Titra 11(2) Juli 2023
Publisher : Jurnal Titra

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Abstract

This articles discusses the problem of route design and demand allocation for each vessel at shipping company, it intends to determine the most efficient routes in terms of overall total distance and utility for each vessel. The proposed model is the modified Heterogeneous Fleet Vehicle Routing Problem to address the pickup and delivery problem. The approach utilizes transition probability to consider the company's historical route generation experience. It also combines distance and demand between ports to handle the two objective functions. This model can create beter routes and vessel allocations with respect to total distance and average ship utility, as indicated by the comparative analysis. Implementing the model with demands at the homebases in Jakarta and Surabaya reduced the total distance by up to 1160 N.Miles and increased average utility by 20% from the previous routes. However, the model only proposes using ships according to the efficient number for operation and is currently limited to the process of only one homebase. The current model has been automated into a program that functions as a decision support system for the company to determine the best or near-optimal routes.
Co-Authors Alexander Alfredo Amelia Agnes Sunjono Cicely Elviani Clairine Susilo David Christian David Soebiantoro Felecia - Felicia Tedja Widjaja Felix Tjoea Genesius Chandra Hendrik Sumawi Johan Widjaja Olivia Sigit Tan Didik Wardoyo Tanusi Valencia Suseno veronica - Vitovern Joey Susila Yuliana Vina Humira