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All Journal J@TI (TEKNIK INDUSTRI) Jurnal Optimasi Sistem Industri Jurnal INTECH Teknik Industri Universitas Serang Raya Jurnal Telematika Journal of Integrated System Engineering Science Letter Journal of Novel Engineering Science and Technology Journal of Management Studies and Development

Roland Y. H. Silitonga

Institut Teknologi Harapan Bangsa

Author-ID : 3918800

Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Electrical & Electronics Engineering Engineering Environmental Science Industrial & Manufacturing Engineering Materials Science & Nanotechnology Mechanical Engineering Social Sciences Transportation

Published : 9 Documents Claim Missing Document

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Articles

Pengembangan Model Economic Order Quantity Multi Item dengan Mempertimbangkan All Unit Discount dan Kendala Kapasitas Roland Y. H. Silitonga; Jonah Moses
Journal of Integrated System Vol. 4 No. 1 (2021): Journal of Integrated System Vol. 4 No. 1 (Juni 2021):
Publisher : Universitas Kristen Maranatha

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28932/jis.v4i1.3420

Penelitian ini mengembangkan model persediaan economic order quantity untuk multi item product dengan mempertimbangkan all unit discount dan kendala kapasitas, yang umumnya merupakan permasalahan di usaha toko seperti mini market. Pengembangan model dilakukan dengan cara mengembangkan model persediaan economic order quantity multi item dengan mempertimbangkan all unit discount dari model terdahulu, dengan menambahkan faktor kendala kapasitas, menggunakan persamaan proporsi demand produk. Model yang telah dikembangkan diuji coba menggunakan beberapa skenario perubahan parameter model, untuk mengetahui tingkat sensitivitas model yang dikembangkan. Ditemukan bahwa perubahan parameter-parameter tidak sensitif terhadap total biaya persediaan maupun waktu pemesanan. Kata kunci: economic order quantity, multi item, all unit discount, kendala kapasitas

Development of Multi Item Probabilistic Inventory Model by Considering Perishable and Purchase Bonus Factors Billy Limanjaya; Roland Y. H. Silitonga
Jurnal Telematika 2018: Industrial Engineering Seminar and Call for Paper (IESC) 2018
Publisher : Institut Teknologi Harapan Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar

Probabilistic inventory model is used mostly in a condition when the demand has uncertainty but the pattern can be predicted, which is the most applicable model in real situation. There are two models considered in the study as the base. In the first previous model, purchase bonus policy was applied to probabilistic inventory model, considering purchase bonus that was given by the supplier. Other model was built considering perishable factor that affect inventory cost based on deterministic demand condition. The purpose of this research is to combine those models, a probabilistic inventory model considering perishable and purchase bonus factors. The model was built for multi item with single supplier case. By comparing the models, it can be concluded that the developed model was comprehensive and applicable in real condition.

Pengembangan Model untuk Aplikasi Pengendalian Persediaan Probabilistik Multi Item Single Supplier Roland Y. H. Silitonga; Meyelin Paskal Kawet
Jurnal Telematika Vol 12, No 1 (2017)
Publisher : Institut Teknologi Harapan Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar

The probabilistic inventory model is a state of inventory that has uncertainty, but its expected value, variance, and distribution patterns can be predicted. This model can be used to solve inventory problems in the fluctuating demand form. In a postal service provider, inventory shortage in a period can be fulfilled by making back order, so the cost is usually more expensive than regular order. The probabilistic inventory model used to solve the problem is Q back order by assuming that all types of goods in the company are independent. This model can be developed, because basically the goods in the service company are not mutually free but have one form of dependence which is supplier similarity. Based on that, the research was developed using multi item single supplier model by combining several kinds of goods in the procurement process through a tender to select the vendor that offers the cheapest price so it can minimize the purchasing cost and procurement cost, and minimize the total inventory cost. This model would be applied in software applications in order to make model’s performance easier to monitor.Model persediaan probabilistik merupakan suatu keadaan persediaan yang memiliki ketidakpastian, namun nilai ekspektasi, variansi, dan pola distribusinya dapat diprediksi. Model ini dapat digunakan untuk menjawab permasalahan persediaan berupa jumlah permintaan yang fluktuatif. Di sebuah perusahaan jasa penyedia layanan pos, kekurangan persediaan pada suatu periode dapat dipenuhi dengan melakukan pemesanan darurat, sehingga biaya yang ditimbulkan biasanya lebih mahal dari pemesanan normal. Model persediaan probabilistik yang digunakan untuk menyelesaikan permasalahan tersebut adalah Q back order dengan mengasumsikan bahwa semua jenis barang dalam perusahaan saling bebas. Model ini dapat dikembangkan, karena pada dasarnya barang di perusahaan jasa tidak saling bebas tetapi memiliki suatu bentuk ketergantungan berupa kesamaan supplier. Berdasarkan hal tersebut dilakukan pengembangan penelitian menggunakan model multi item single supplier, yaitu menggabungkan beberapa jenis barang dalam proses pengadaan melalui tender untuk memilih vendor yang menawarkan harga terendah, sehingga dapat meminimasi biaya pembelian dan biaya pengadaan, serta meminimasi total biaya persediaan. Model ini akan diterapkan dalam aplikasi perangkat lunak dengan tujuan agar kinerja model dapat dengan mudah dipantau.

Inventory Policy for Retail Stores: A Multi-Item EOQ Model Considering Permissible Delay in Payment and Limited Warehouse Capacity Roland Y. H. Silitonga; Ester E. L. Br Sembiring
Jurnal Optimasi Sistem Industri Vol. 21 No. 1 (2022): Published in May 2022
Publisher : The Industrial Engineering Department of Engineering Faculty at Universitas Andalas

The retail industry such as minimarkets has many products consisting of several types of products that have expiration dates. Their warehouses have limited capacity, making it difficult to make decision about optimum inventory. Most of the suppliers will give permissible delay in payment, that can be used to increase income potential through earned by considering the risk of fines imposed if payments are exceeded and help companies raise capital before generating sales. These three factors must be considered when developing the inventory model. The purpose of this study is to develop a multi-item inventory model by considering perishable or damaged products, permissible delay in payment in limited warehouse. Model development is carried out in 2 stages. The first stage was the development of a multi-item EOQ model by considering product defects and permissible delay in payment. The second stage model is by adding a capacity constraint factor to the model. The results obtained are getting the optimal order quantity by considering the number of product types, product damage factors, late payments in limited warehouses, the best ordering policy can be found, and it is known that the total inventory costs to changes in parameters are good and sensitive to changes in percentage, interest percentage, payment allowances, and warehouse capacity through sensitivity tests.

PENGEMBANGAN MODEL PERSEDIAAN ECONOMIC ORDER QUANTITY MULTI ITEM DENGAN MEMPERTIMBANGKAN FAKTOR KADALUARSA, ALL UNIT DISCOUNT, DAN KENDALA KAPASITAS Roland Y. H. Silitonga; Celia Esterina Julieta
J@ti Undip: Jurnal Teknik Industri Vol 17, No 3 (2022): September 2022
Publisher : Departemen Teknik Industri, Fakultas Teknik, Universitas Diponegoro

Jenis usaha produk konsumsi seperti minimarket biasanya menjual beberapa jenis produk dengan volume yang rendah dan memiliki fluktuasi permintaan yang cenderung kecil. Terdapat tiga hal yang perlu diperhatikan dalam mengendalikan persediaan pada minimarket, yaitu kemungkinan untuk mendapatkan potongan harga jika membeli bahan makanan dalam jumlah besar, barang konsumsi yang dapat kadaluarsa,, serta adanya keterbatasan kapasitas yang dimiliki. Tujuan dari penelitian ini adalah mengembangkan model persediaan economic order quantity multi item dengan mempertimbangkan faktor kadaluarsa, all unit discount, dan kendala kapasitas. Pengembangan model dilakukan dengan cara mengembangkan model persediaan economic order quantity multi item dengan mempertimbangkan kadaluarsa dan all unit discount dari model terdahulu, lalu dilanjutkan dengan mengembangkan faktor kendala kapasitas menggunakan persamaan proporsi permintaan produk. Model yang telah dikembangkan akan diuji coba dengan melakukan perubahan pada nilai parameter model untuk melihat sensitivitasnya. Dari hasil analisis sensitivitas yang telah dilakukan, ditemukan bahwa total biaya persediaan sensitif terhadap harga beli satuan barang. Sedangkan, waktu pemesanan sensitif terhadap perubahan kapasitas gudang. Abstract[Development of Economic Order Quantity Multi Item Inventory Model by Considering Perishable Factor, All Unit Discount, and Capacity Constraint] Types of consumer product businesses such as minimarkets usually sell several types of products with low volumes and tend to have small fluctuations in demand. There are three things that need to be considered in controlling inventory at minimarkets, namely the possibility of getting a discount if you buy food in bulk, consumer goods that can expire, and the limited capacity they have. The purpose of this study is to develop a multi-item economic order quantity inventory model by considering expiration factors, all unit discounts, and capacity constraints. Model development is carried out by developing a multi-item economic order quantity inventory model by considering expiration and all unit discounts from the previous model, then proceeding to develop a capacity constraint factor using the product demand proportion equation. The developed model will be tested by making changes to the model parameter values to see its sensitivity. From the results of the sensitivity analysis that has been carried out, it was found that the total cost of inventory is sensitive to the unit purchase price of goods. Meanwhile, the time of ordering is sensitive to changes in warehouse capacity.Keywords: economic order quantity; multi item; perishable; all unit discount; capacity constraint.

Economic Order Quantity Inventory Considering Perishable Factor in Product, Delay in Payment, All-Unit Discount, and Product Return Roland Y. H. Silitonga; Hanafi Kartawirawan; Siham Bouguern
Engineering Science Letter Vol. 1 No. 02 (2022): Engineering Science Letter
Publisher : The Indonesian Institute of Science and Technology Research

The inventory existence of the company is a waste but still needed to maintain service level. For drug industry companies, especially pharmaceutical installations, the expiration factor is a factor that needs to be considered because drugs have an expiration date. Previous research has an inventory model that considers product expiration factors, permissible payment delays, and price discounts. The developed study provides a solution to the loss of expiry costs by adding a return factor. This research aims to create an inventory model that considers expiration factors, permissible payment delays, discounts, and product returns. The result of the developed model can minimize the total cost of inventory by 3.37% with the predefined parameters compared to the previous model, which has not considered the return factor.

Safety Stock, Warehouse Capacity, and Return of Goods in Inventory Model Development Roland Y. H. Silitonga; Valyn Alanda Saputra; Aamir Khan
Journal of Novel Engineering Science and Technology Vol. 1 No. 02 (2022): Journal of Novel Engineering Science and Technology
Publisher : The Indonesian Institute of Science and Technology Research

With the increasing level of competition between companies, companies are required to be able to manage their inventory system optimally. In the pharmacy supply system, it is important to consider the uncertainty factor because the demand for medicines depends on the uncertain nature of the disease, besides that there is an expiration factor that must be considered because medicines must have an expiration date. To solve the problem of expiration, the supplier usually provides a return policy in accordance with the specified conditions. In addition, pharmacies also have limitations on warehouse capacity that must be considered. To solve the problem of limited warehouse capacity in this study, an approach to the requirements of the Karush Kuhn-Tucker method was used. From the developed model, two ordering times are obtained, namely and which will be compared to get the optimal ordering time. From the analysis of the model, it is found that the more characteristic considerations in an inventory system, the greater the total inventory cost.

The Impact of Supply Chain Management Practices on Competitive Advantage and Organizational Performance Roland Y. H. Silitonga; Marla Setiawati; Sarah E. K. Immanuella
Journal of Management Studies and Development Vol. 2 No. 01 (2023): Journal of Management Studies and Development
Publisher : The Indonesian Institute of Science and Technology Research

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56741/jmsd.v2i01.118

This study aims to examine the effect of supply chain management (SCM) on competitive advantage and company performance in the MSME culinary industry in Bandung. The subject of this research is the culinary industry MSMEs in the city of Bandung. This type of research is quantitative research using a questionnaire distributed directly to the culinary industry, with as many as 40 questionnaires. Data analysis used multiple linear regression and path analysis. The results show that supply chain management influences competitive advantage, supply chain management is not proven to affect company performance, competitive advantage affects company performance, and supply chain management affects company performance through competitive advantage but tends to have an influence—direct effect on company performance.

Analisis Kepuasan Kualitas dan Rancangan Perbaikan Pelayanan Jasa Kesehatan Priska Sugiharta; Roland Y. H. Silitonga; Marla Setiawati
Jurnal INTECH Teknik Industri Universitas Serang Raya Vol. 9 No. 2 (2023): Desember
Publisher : Universitas Serang Raya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30656/intech.v9i2.6434

Banyaknya fasilitas kesehatan yang ada di Provinsi Jawa Barat menuntut setiap rumah sakit untuk mampu memuaskan pengunjungnya dengan memberikan pelayanan terbaik agar dapat tetap bersaing. RSUD X kerap mendapatkan banyak keluhan dari pengunjung terkait dengan kualitas layanan yang diberikan. Penelitian ini bertujuan untuk mengevaluasi kualitas pelayanan RSUD X, menganalisis atribut kualitas pelayanan yang perlu mendapatkan prioritas perbaikan, serta merancang usulan perbaikan beserta prioritasnya untuk meningkatkan kualitas pelayanan pada RSUD X. Penelitian ini menggunakan metode Service Quality untuk mengevaluasi kepuasan pengunjung melalui pengukuran gap antara persepsi dan ekspektasi, metode Importance Performance Analysis untuk mengetahui atribut yang perlu diperbaiki, serta metode Quality Function Deployment untuk merancang saran perbaikan yang sesuai. Hasil analisis dengan metode Service Quality menunjukkan bahwa nilai rata-rata gap skor sebesar -1,053 yang berarti RSUD X belum dapat memenuhi kepuasan pengunjung. Terdapat 5 atribut yang menjadi prioritas utama dalam perbaikan berdasarkan hasil analisis dengan metode Importance Performance Analysis. Berdasarkan hasil analisis dengan metode Quality Function Deployment, prioritas utama perbaikan yang dapat meningkatkan kualitas layanan RSUD X adalah “rutin melakukan perapihan jam pelayanan dan rescheduling jadwal tenaga medis” dengan kontribusi sebesar 26,6%. Penerapan ketiga metode ini berhasil mendapatkan usulan perbaikan yang bersifat teknis dan dapat langsung diterapkan oleh pihak RSUD X.

Co-Authors Aamir Khan Billy Limanjaya Celia Esterina Julieta Ester E. L. Br Sembiring Hanafi Kartawirawan Jonah Moses Marla Setiawati Meyelin Paskal Kawet Priska Sugiharta Sarah E. K. Immanuella Siham Bouguern Valyn Alanda Saputra

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