scholarly journals RANCANG BANGUN PORTAL WEB PELAPORAN KESELAMATAN DAN KESEHATAN KERJA (K3) MELALUI PENDEKATAN BUSINESS PROCESS IMPROVEMENT (BPI) DAN PURWARUPA (STUDI KASUS PT PAMAPERSADA NUSANTARA)

Technologic ◽  
2021 ◽  
Vol 12 (1) ◽  
Author(s):  
Nindy Okta Novianti ◽  
Aisyah Milania ◽  
Suhendra Suhendra
Keyword(s):  
Process Improvement ◽  
Business Process ◽  
Sql Server ◽  
Web Portal ◽  
Business Process Improvement

Pada perusahaan yang bergerak di bidang penambangan, keselamatan dan kesehatan karyawan merupakan hal yang penting. PT PAMA sebagai sebuah perusahaan pertambangan telah berupaya untuk selaras mengikuti regulasi atau peraturan-peraturan K3 yang ada. Pelaporan insiden yang terjadi di area kerja dan pencatatan risiko dan mitigasi di seluruh area kerja telah dilakukan namun masih terdapat beberapa masalah operasional yang muncul terkait diantaranya yaitu data terkait keselamatan dan kesehatan karyawan masih berbentuk salinan kertas, memiliki format laporan yang berbeda-beda dan tersebar diantar antar area kerja atau cabang. Hal ini dirasa menyulitkan dan membutuhkan waktu yang lama dalam hal pencarian, distribusi, pemantauan dan kontrol khususnya oleh kantor pusat. Penelitian ini bertujuan untuk mengusulkan solusi terhadap permasalahan yang ada melalui pembuatan portal web. Portal web dikembangkan dengan pendekatan BPI dan purwarupa. Bahasa pemrograman yang digunakan untuk pengembangan adalah bahasa pemrograman ASP dengan basis data SQL Server. Dengan portal web proses pelaporan, pemantauan dan kontrol K3 dapat menjadi lebih mudah dan cepat

scholarly journals Business process improvement using Object‐Process Methodology

2019 ◽  
Vol 23 (1) ◽  
pp. 36-48
Author(s):  
Jason M. Casebolt ◽  
Ahmad Jbara ◽  
Dov Dori
Keyword(s):  
Process Improvement ◽  
Business Process ◽  
Business Process Improvement ◽  
Process Methodology

Estimating performance from capabilities in business process improvement

2016 ◽  
Vol 22 (6) ◽  
pp. 1099-1117 ◽  
Author(s):  
Boyd A. Nicholds ◽  
John P.T. Mo
Keyword(s):  
Process Improvement ◽  
Business Process ◽  
Expected Improvement ◽  
Management Decision ◽  
Published Data ◽  
Performance Gain ◽  
Data Set ◽  
Business Process Improvement ◽  
Improvement Project ◽  
Content Type

Purpose The research indicates there is a positive link between the improvement capability of an organisation and the intensity of effort applied to a business process improvement (BPI) project or initiative. While a degree of stochastic variation in applied effort to any particular improvement project may be expected there is a clear need to quantify the causal relationship, to assist management decision, and to enhance the chance of achieving and sustaining the expected improvement targets. The paper aims to discuss these issues. Design/methodology/approach The paper presents a method to obtain the function that estimates the range of applicable effort an organisation can expect to be able to apply based on their current improvement capability. The method used analysed published data as well as regression analysis of new data points obtained from completed process improvement projects. Findings The level of effort available to be applied to a process improvement project can be expressed as a regression function expressing the possible range of achievable BPI performance within 90 per cent confidence limits. Research limitations/implications The data set applied by this research is limited due to constraints during the research project. A more accurate function can be obtained with more industry data. Practical implications When the described function is combined with a separate non-linear function of performance gain vs effort a model of performance gain for a process improvement project as a function of organisational improvement capability is obtained. The probability of success in achieving performance targets may be estimated for a process improvement project. Originality/value The method developed in this research is novel and unique and has the potential to be applied to assessing an organisation’s capability to manage change.

Leveraging big-data for business process analytics

2015 ◽  
Vol 22 (4) ◽  
pp. 215-228 ◽  
Author(s):  
Alejandro Vera-Baquero ◽  
Ricardo Colomo Palacios ◽  
Vladimir Stantchev ◽  
Owen Molloy
Keyword(s):  
Big Data ◽  
Process Improvement ◽  
Business Process ◽  
Business Performance ◽  
Business Processes ◽  
Heterogeneous Systems ◽  
Map Reduce ◽  
Heterogeneous Environments ◽  
Business Process Improvement ◽  
Content Type

Purpose – This paper aims to present a solution that enables organizations to monitor and analyse the performance of their business processes by means of Big Data technology. Business process improvement can drastically influence in the profit of corporations and helps them to remain viable. However, the use of traditional Business Intelligence systems is not sufficient to meet today ' s business needs. They normally are business domain-specific and have not been sufficiently process-aware to support the needs of process improvement-type activities, especially on large and complex supply chains, where it entails integrating, monitoring and analysing a vast amount of dispersed event logs, with no structure, and produced on a variety of heterogeneous environments. This paper tackles this variability by devising different Big-Data-based approaches that aim to gain visibility into process performance. Design/methodology/approach – Authors present a cloud-based solution that leverages (BD) technology to provide essential insights into business process improvement. The proposed solution is aimed at measuring and improving overall business performance, especially in very large and complex cross-organisational business processes, where this type of visibility is hard to achieve across heterogeneous systems. Findings – Three different (BD) approaches have been undertaken based on Hadoop and HBase. We introduced first, a map-reduce approach that it is suitable for batch processing and presents a very high scalability. Secondly, we have described an alternative solution by integrating the proposed system with Impala. This approach has significant improvements in respect with map reduce as it is focused on performing real-time queries over HBase. Finally, the use of secondary indexes has been also proposed with the aim of enabling immediate access to event instances for correlation in detriment of high duplication storage and synchronization issues. This approach has produced remarkable results in two real functional environments presented in the paper. Originality/value – The value of the contribution relies on the comparison and integration of software packages towards an integrated solution that is aimed to be adopted by industry. Apart from that, in this paper, authors illustrate the deployment of the architecture in two different settings.

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