Analisis Sistem Pengendalian Internal dalam Optimalisasi Sistem Pembelian pada PT. Mulia Safety Service Surabaya

This study aims to describe the application of the purchasing accounting system in the company and evaluate the internal control system in the company's purchasing accounting system. This research utilizes qualitative methods. The scope of research conducted in this study is an evaluation of internal control in the purchasing system at PT. Mulia Safety Service, which is located at Jl. Eastern Silver No. 232, Surabaya. Total respondents were determined using the snowball sampling technique—respondents who were selected to be key informants from the information manager of PT. Mulia Safety Service, then continued to other respondents based on recommendations from key respondents with assumptions related to the research conducted. Meanwhile, data analysis was carried out by collecting data, reducing data, presenting data, and analyzing data. The results showed that the internal control system for the purchasing accounting system at PT. Mulia Safety Service Surabaya is still not comprehensive. This is due to the dual function of the purchasing department (purchase function and receiving function) and the lack of document distribution (goods receipt form), which should also be accepted by the accounting department. Therefore, some improvements are needed. First, by creating a separate receiving section as a reception function or by giving this authority to the inventory section, and secondly, the receiving function also creates documents (goods receipt forms) so that not only the purchasing and inventory departments receive them but also the accounting department. This improvement is expected to optimize the purchasing accounting system at PT. Mulia Safety Service Surabaya.

Characteristics of supplier performance measurement systems in collaborative innovation projects: the role of the purchasing department

Purpose In the wake of the growing popularity of the open innovation approach, leveraging suppliers as external sources of innovation has attracted increasing interest from scholars and practitioners. Successful supplier involvement largely depends on an effective performance measurement process, but both supply chain management and innovation management literature have paid limited attention to this aspect. This paper aims to fill this gap by illustrating how companies measure the performance of the suppliers involved in their innovation projects and what role is played by the purchasing department. Design/methodology/approach This study interviews project stakeholders from nine different organizations acting as focal companies in the supply chains of various industries. This paper complements this on-field information with a vast amount of data collected from secondary project documents. Structured data coding and analysis allow us to discuss how companies redesign their performance measurement systems to ease the collaboration with suppliers in innovation and what factors underly these decisions. Findings The findings show that, in many cases, supplier performance measurement systems deviate from their typical characteristics to support collaboration in innovation projects. They integrate quantitative and qualitative measures, include contributions from different project stakeholders and are oriented toward high visibility and transparency with suppliers. A more substantial redesign of these systems is favored when purchasing is assigned to strategic project responsibilities and possesses higher absorptive capacity. Originality/value The results complement the knowledge for the supply chain management field, where supplier performance measurement systems have been discussed in the context of traditional buyer-supplier relationships, but not comprehensively in innovation projects and not considering the role of purchasing. Findings also contribute to the innovation management literature, which has mostly focused on what aspects need to be measured for innovation partners, rather than how to manage the performance measurement process in practice.

A Hybrid MCDM Approach towards Resilient Sourcing

Achieving a supply chain that is resilient to potential unforeseen disruptions (e.g., strikes, floods, tsunamis, etc.) remains one of the vital concerns of decision makers (DMs). To build up a reactive supply chain plan towards resilience, the purchasing department needs to pay the strictest attention to sourcing decisions. This study contributes to the literature through developing an efficient resilient supplier selection approach based on a new holistic framework that enables the identification of key resilience pillars (RPs) and traditional business criteria (TBC) in light of a thorough literature review and experts’ opinions. To this end, the relative importance of TBC/RP was measured by applying the DEMATEL (D) method. This was followed by the application of MABAC-OCRA-TOPSIS-VIKOR (MOTV) methods to verify the suppliers’ ranking. Furthermore, the Spearman rank correlation coefficient (SRCC) approach was used to investigate the correlation among the suppliers’ ranking, revealed via the four methods. In this work, a real sourcing problem of scrap metal for a steel manufacturing company was solved to prove the applicability of the proposed approach. The research outcome revealed that the TBC of “trust” is the most important criterion, followed by the “cost”, leaving the “geographical location” criterion as the least important one. In this context, the RP of “flexibility” attained the highest relative weight compared to “agility”, which secured the lowest weight. The results also showed “absolute” correlation among MABAC, VIKOR, and OCRA compared to “very strong” correlation between TOPSIS and the others. This research can support supply chain managers to achieve supply chain systems that reduce not only sourcing costs, but also potential losses because of disrupting threats, by building resilient supply chains.

Zinc ore supplier evaluation and recommendation method based on nonlinear adaptive online transfer learning

<p style='text-indent:20px;'>Purchasing decisions determine the purchasing cost, which is the largest section of the production cost of zinc smelting enterprise(ZSE). An excellent supplier recommendation is significant for ZSE to reduce the cost. However, during the supplier recommendation process, the nonlinear demand feature of purchasing department varies with the production environment, and there are wrong samples that can affect the supplier recommendation effect. To handle these problems, the recommendation strategy based on a multiple-layer perceptron adaptive online transfer learning algorithm(AOTLMLP) are proposed. In this method, the original prediction function is modified based on MLP nonlinear projective function and adaptive loss function, which enables the AOTLMLP algorithm to tackle the nonlinear classification problems and efficiently follow the demand change of purchasing department, thereby improving the result of the recommendation. The performance of the AOTLMO algorithm is evaluated through a common dataset and a purchasing dataset from a zinc smelter that generated by a supplier evaluation model. It can be assumed that AOTLMLP can ignore the influence of wrong samples and provide an effective recommendation confronting the characteristic of zinc ore purchasing.</p>

Supplier Selection in Food Industry Using Analytic Hierarchy Process (AHP) Method

The human population has been growing rapidly in recent years. One of the most basic needs of people is food. Many countries around the world invest in the food industry. Climate change, population growth, urbanization, natural disasters, and agricultural efficiency are important factors affecting food production. Companies must constantly control their production, marketing, and supply chain process depending on the rapidly changing competitive conditions. Supply chain management is an important process for companies to be successful and ensure their continuity in the food industry, as in many industries. Analytical hierarchy process (AHP) method is widely used in supplier evaluation. In this study, it was aimed to determine the best supplier of food production company using the AHP method. In the study, three different suppliers were evaluated according to five different criteria by taking the opinions of four experts working in the purchasing department. As a result of the study, the best supplier has been selected.

Management of the Engineering Data for Manufacturing

All departments in a business work separately, but for the same purpose.In this article, a system that allows not only the mechanical design department but also the manufacturing, storage, process planning, quality control, electrical design, purchasing departments, etc. to have access to the required information has been developed. Initially, current manufacturng result informations is collected from the project attandees. Secondly, a workflow is designed dependent on the current data flow. All the project stakeholders are introduced to join and use product data management system. In the absence of this kind of system, loss of time, scraps and loss of engineering time would be investigated. This allowed the company owners to be sure that no faulty revision of design will be produced after the system started. On the other hand automation of bill of materials generation provided the purchasing department correct and up to date information about outsourced parts. Allowing different engineering disciplines to work together provided more suitable environment. Gradually this conditions allowed all the departments work faster and market the new product much faster than before the system. Tracing the workflows for management purposes would be handled by the system. A &lsquo;Validation of Design&rsquo; process is modelled for the company.

How to Create E-Purchasing Based on Open ERP for Integrated Hospital Service System Using Quickstart Methodology

In this research, the researcher carries out the health Industry of public hospitals in Indonesia. One of the main processes in company business processes is the purchasing of goods. One of the problems in purchasing is the absence of the system that Integrates business processes between the Inventory Department and the Purchasing Department. Hence, interfere with daily operational in RSUD XYZ like due to notification’s update delay of the goods causes unavailability stock in the warehouse, so will affect the late purchase of goods at RSUD XYZ. Odoo is a software of Enterprise Resource Planning opensource used by various types of companies. Odoo provides solutions package for Purchase Management to overcome the problem in the company. The researcher used the QuickStart Methodology to implement ERP systems. Odoo implementation with QuickStart needs through five main stages. The result of this research is the design of a planning model for Enterprise Resource Planning system of purchasing in RSUD XYZ. Moreover, Odoo makes business processes in the RSUD XYZ can be automated with real-time information, this automation and real-time data will support the RSUD XYZ to make better decision in the future.

ANALISIS SISTEM INFORMASI PENGELOLAAN DATA TRANSAKSI PEMBELIAN CONSUMER UNTUK MANAJEMEN PEMBELIAN PERUSAHAAN

This study aims to determine and also analyze the information system on purchases, especially purchases of goods made by the customer at PT.ABC will help in the management of corporate purchases. The research method used in this study is qualitative research, which is needed to get a picture of the relationship between the subject and the object under study. Where the subject is PT. ABC, as for the object is the information system of purchasing goods by customers. Data collection used in this study through the process of interviews, observation and literature study. To overcome the problems in this research, an information system design for managing consumer purchase transaction data was made to be built using the PHP programming language and Microsoft Access database. Analysis of the data used is to use user analysis and analysis of the current system. The results achieved in this study are able to simplify and speed up data access by updating the financial section, the purchasing department, and the purchasing manager in this case greatly helps the company in monitoring goods.

ANALISIS SISTEM INFORMASI PENGELOLAAN DATA TRANSAKSI PEMBELIAN CONSUMER UNTUK MANAJEMEN PEMBELIAN PERUSAHAAN

In English : This study aims to determine and also analyze the information system on purchases, especially purchases of goods made by the customer at PT.ABC will help in the management of corporate purchases. The research method used in this study is qualitative research, which is needed to get a picture of the relationship between the subject and the object under study. Where the subject is PT. ABC, as for the object is the information system of purchasing goods by customers. Data collection used in this study through the process of interviews, observation and literature study. To overcome the problems in this research, an information system design for managing consumer purchase transaction data was made to be built using the PHP programming language and Microsoft Access database. Analysis of the data used is to use user analysis and analysis of the current system. The results achieved in this study are able to simplify and speed up data access by updating the financial section, the purchasing department, and the purchasing manager in this case greatly helps the company in monitoring goods. In Indonesian : Penelitian ini bertujuan untuk mengetahui dan juga menganalisis sistem informasi pada pembelian khususnya pembelian barang yang dilakukan oleh costumer pada PT.ABC akan membantu dalam manajemen pembelian perusahaan. Metode penelitian yang digunakan pada penelitian ini adalah penelitian kualitatif, yang diperlukan untuk mendapatkan gambaran antara hubungan pada subjek dan objek yang diteliti. Dimana subjeknya adalah PT. ABC, adapun objeknya adalah sistem informasi pembelian barang oleh customer. Pengumpulan data yang digunakan dalam penelitian ini melalui proses wawancara, observasi dan studi pustaka. Untuk mengatasi permasalahan dalam penelitian ini maka dibuatlah suatu perancangan sistem informasi pengelolahan data transaksi pembelian consumer yang akan dibangun dengan menggunakan bahasa pemrograman PHP dan database microsoft acces. Analisis data yang digunakan adalah menggunakan analisis pengguna dan analisis sistem yang berjalan saat ini. Hasil yang dicapai dalam penelitian ini adalah dapat mempermudah dan mempercepat akses data secara update pada bagian keuangan, bagian pembelian, dan manager pembelian dalam hal ini sangat membantu perusahaan dalam memonitor barang.

Penerapan Metode Weighted Product (WP) Pada Pemilihan Supplier Kimia Terbaik PT. Mayer Indah Indonesia Bogor

PT. Mayer Indah Indonesia is a company engaged in the field of textile. In order to face business competition, there are several problems that often arise, namely not having supplier selection procedures. The supplier selection conducted by the company's purchasing department at this time is a direct survey and price comparison. supplier distance with the company so that shipping costs are high and ease of negotiation and payment systems. So the supplier selection needs to be done by using the right method in accordance with company standards, namely weighted product (wp) with the aim of providing information to companies about alternative methods that can be used in objectively selecting suppliers and providing input on the performance of suppliers. Keywords: Selection, Chemical Supplier, Best, Weighted Product.