Studi Mengenal ERP System Adoption Berbasis Technology Acceptance Model

Sistem ERP adalah sistem informasi yang mengintegrasikan fungsi-fungsi bisnis dalam Perusahaan, seperti fungsi manufaktur, keuangan dan manajemen rantai suplai. Sistem ERP tidak dapat meningkatkan performansi Perusahaan bila tidak diadopsi dan digunakan secara teratur dan benar oleh para penggunanya. Dengan mengadopsi model dasar Technology Acceptance Model (TAM) dalam mempelajari proses penerimaan (adoption) sistem ERP oleh user dalam organisasi, penelitian ini menambahkan aspek peran project champion dalam menganalisis proses penerimaan sistem ERP oleh pengguna. Peran project champion disini dipelajari dengan yang memasukkan dua variabel independen tambahan yaitu technical champion dan organisational champion. Faktor lainnya yang digunakan dalam penelitian ini yaitu perceived usefulness, intrinsic dan situational involvement, prior USAge, argument for change, shared belief, project communication dan training. Pengambilan data dilakukan terhadap 123 responden yang merupakan karyawan pengguna sistem ERP di PT.Telkom Indonesia. Pengolahan data dilakukan dengan menggunakan metode Structural Equation Modelling (SEM), dan perangkat lunak pengolah data LISREL. Hasil pengolahan data menunjukkan bahwa perceived usefulness berpengaruh positif terhadap behavioral intention to use sistem ERP. Hasil dari penelitian juga menunjukkan bahwa technical champion, organisational champion, intrinsic dan situational involvement, argument for change, shared belief, project communication dan training secara tidak langsung berpengaruh positif terhadap behavioral intention to use sistem ERP

Pengambilan Keputusan Pemilihan Pemasok Di Perusahaan Manufaktur Dengan Metode Fuzzy ANP

. The issue of supplier selection is an important issue in the company because it will determine the company's ability to ensure the availability of raw materials in production. This study aims to establish a decision-making model for supplier selection which considers many criteria in which there is dependence between criteria. The method used is fuzzy-analytic network process (fuzzy-ANP). The combined fuzzy and ANP methods is used not only to consider dependencies between criteria, but also to minimize uncertainty and inaccuracy in the assessment of importance of each criterion. Four major stages used in the decision model, namely the establishment of supplier selection criteria and sub-criteria, the process of determining dependencies among the criteria, the weighting of the criteria/sub-criteria, and the last one is supplier assessment process. The process of weighting the criteria results in two data, criteria weights without dependency and criteria weights with dependency. The process of formation of criteria/sub-criteria and the ratings to generate weights were obtained from the experts from the company where case study was done. Supplier rsting process is done through assessment process using the 5 (five) scale rating. The results of rating for each supplier will then be compared. The results of this method is the ranking of suppliers in a certain procurement process. From this research it is known that the method used, fuzzy ANP, is proved to be appropriate considering that there are dependencies among the criteria/ sub-criteria used and the method is useful to minimize uncertainty or inaccuracy in the assessment process. By employing this method, criteria with the highest weight was obtained, that is quality of human resources which affect as much as 6 other criteria, followed by quality of product, supplier's reputation, price, and delivery method

Pengembangan Model Evaluasi Kualitas Layanan Sistem E-Government

. In many countries, e-government system has been built to support the government in providing services to the community and industry. Although the system had been developed and has been successfully executed, the level of user acceptance and the quality level of service is often not satisfactory. The aim of this study is to develop a model for of e-government system evaluation. E-government evaluation model was developed by combining aspects of government services (public services) as well as aspects of service quality of electronic-based systems. The model was tested using empirical data. Questionnaires filled online using a web-based application, 108 samples were collected and 88 samples were declared valid to be used for measurement model analysis and e-government system evaluation. Analysis of reliability and validity of the measurement model was conducted using partial least square (PLS) technique. Analysis of the e-government system evaluation results was carried out by utilizing importance-performance analysis (IPA) method. The model developed is used to evaluate an e-government system developed by the Ministry of Trade of the Republic of Indonesia, called Inatrade. The results of Inatrade system evaluation using IPA method show that information completeness, fulfillment, responsiveness and contact are the dimensions that need to be given priority in the improvement process of Inatrade system

The Application of a Decision-making Approach Based on Fuzzy ANP and TOPSIS for Selecting a Strategic Supplier

Supplier selection becomes very important when used in the context of strategic partnerships because of the long-term orientation of the relationship. This paper describes the application of a decision-making approach for selecting a strategic partner (supplier). The approach starts with defining a set of criteria that fits the company's condition. In the next steps, a combination of fuzzy-ANP and TOPSIS methods is used to determine the weight for each criterion and rank all the alternatives. The application of the approach in an Indonesian manufacturing company showed that the three factors that got the highest weight were “geographical location”, “current operating performance”, and “reliability”. Geographical location got the highest weight because it affects many other factors such as reaction to changes in demand, after-sales service, and delivery lead-time. Application of the approach helps decision-makers to gain effectiveness and efficiency in the decision-making process because it facilitates them to express their group's collective preferences while also providing opportunities for members to express their individual preferences. Future research can be directed at combining qualitative and quantitative criteria to develop the best criteria and methods for the selection of the best suppliers based on fuzzy ANP and TOPSIS