scholarly journals Pengembangan Sistem Manajemen dan Analisis Key Performance Indicator “Smart Kpi” Berbasis Web

Author(s):  
Meiliana Meiliana ◽  
Bryan Bryan ◽  
Felix Joshua ◽  
Raymond Raymond

The goals of organization or company are achieved by the given objectives of all the employees. In order to measure the achievement of the employees, the organization or company can use Key Performance Indicator (KPI). However, most of the application of KPI is done manually, for example in inputting scores, result submission, score checking, and report creation. Seeing this condition, an application called “Smart KPI” is developed to provide an effective and efficient KPI System, to provide the valid KPI data to assist the monitoring of employees performance, and to create the organizational structure by relating the supervisor with the subordinate. This application is developed using Scrum research method that consists of backlog and sprint. The backlog consists of literature studies, comparing previous research or product, distributing questionnaires, and interviewing IT experts. Sprint consists of sprint and release planning and actual sprint work. The result is a PHP based web application for KPI processing for an organization or company that depends on the structure of users and indicators that have been set in the back-end and apply the settings and process the KPI in the front-end. The conclusion that obtained is this application will help the KPI processing which match the user requirement and has a good user interface and performance.

2015 ◽  
Vol 12 (2) ◽  
pp. 655-681 ◽  
Author(s):  
Tomas Cerny ◽  
Miroslav Macik ◽  
Michael Donahoo ◽  
Jan Janousek

Increasing demands on user interface (UI) usability, adaptability, and dynamic behavior drives ever-growing development and maintenance complexity. Traditional UI design techniques result in complex descriptions for data presentations with significant information restatement. In addition, multiple concerns in UI development leads to descriptions that exhibit concern tangling, which results in high fragment replication. Concern-separating approaches address these issues; however, they fail to maintain the separation of concerns for execution tasks like rendering or UI delivery to clients. During the rendering process at the server side, the separation collapses into entangled concerns that are provided to clients. Such client-side entanglement may seem inconsequential since the clients are simply displaying what is sent to them; however, such entanglement compromises client performance as it results in problems such as replication, fragment granularity ill-suited for effective caching, etc. This paper considers advantages brought by concern-separation from both perspectives. It proposes extension to the aspect-oriented UI design with distributed concern delivery (DCD) for client-server applications. Such an extension lessens the serverside involvement in UI assembly and reduces the fragment replication in provided UI descriptions. The server provides clients with individual UI concerns, and they become partially responsible for the UI assembly. This change increases client-side concern reuse and extends caching opportunities, reducing the volume of transmitted information between client and server to improve UI responsiveness and performance. The underlying aspect-oriented UI design automates the server-side derivation of concerns related to data presentations adapted to runtime context, security, conditions, etc. Evaluation of the approach is considered in a case study applying DCD to an existing, production web application. Our results demonstrate decreased volumes of UI descriptions assembled by the server-side and extended client-side caching abilities, reducing required data/fragment transmission, which improves UI responsiveness. Furthermore, we evaluate the potential benefits of DCD integration implications in selected UI frameworks.


2016 ◽  
Author(s):  
Julien Delafontaine ◽  
Alexandre Masselot ◽  
Robin Liechti ◽  
Dmitry Kuznetsov ◽  
Ioannis Xenarios ◽  
...  

AbstractSummary: Varapp is an open-source web application to filter variants from large sets of exome data stored in a relational database. Varapp offers a reactive graphical user interface, very fast data pro-cessing, security and facility to save, reproduce and shareresults. Typically, a few seconds suffice to apply non-trivial filters to a set of half a million variants and extract a handful of potential clinically relevant targets. Varapp implements different scenarios for Mendelian diseases (dominant, recessive, de novo, X-linked, andcompound heterozygous), and allows searching for variants in genes or chro-mosomal regions of interest.Availability: The application is made of a Javascript front-end and a Python back-end. Its source code is hosted at https://github.com/varapp. A demo version isavailable at https://varapp-demo.vital-it.ch. The full documentation can be found at https://varapp-demo.vital-it.ch/docs.Contact:[email protected]


2017 ◽  
Vol 18 (2) ◽  
pp. 168
Author(s):  
Muh Rokhim

Balanced Score Card (BSC) is one of the management tools to manage the implementation of strategy, measure the performance beyond mere financials and to communicate the vision, strategy and performance to stakeholders. In this research, researcher will focus on cascading the Key Performance Indicator (KPI) with using the BSC methodology in the industrial Engineering Department at one of the tire manufacturing company located in Tangerang. This KPI will be a good tools to manage the performance of each engineers in the organization and to ensure align with the vision and strategy from the Top Management. Result of the KPI performance also will be an useful Performance Management tool for the Manager  in order to give the yearly appraisal for each engineers in avoiding of the subjective way likes currently happened.


2020 ◽  
Vol 7 (11) ◽  
Author(s):  
Fitriadi Fitriadi ◽  
Mahendro Sumardjo ◽  
Jubaedah Jubaedah

Fenomena yang diteliti pada UIN Syarif Hidayatullah Jakarta adalah sulitnya melihat capaian kinerja dan pengukuran kinerja. Oleh karena itu, UIN Syarif Hidayatullah Jakarta kesulitan mengambil keputusan dalam manajemen kinerja, sebelum menggunakan IKU, UIN Syarif Hidayatullah Jakarta menggunakan manajemen anggaran dalam penilaian dan pengukuran kinerja. Penelitian ini menggunakan metode kualitatif studi lapangan dengan pendekatan fenomenologi. Yang diteliti adalah pengalaman pola penggunaan Balanced Scorecard (BSC) IKU atau Key Performance Indicator (KPI)  UIN Syarif Hidayatullah Jakarta tahun 2018. Setelah adanya IKU di UIN Syarif Hidayatullah Jakarta dengan menggunakan Balanced Scorecard (BSC). penilaian kinerja dan ukuran kinerja ini bisa sebagai acuan capaiaan kinerja untuk Perangkingan Perguruan Tinggi di tingkat nasional maupun internasional, Laporan Akuntabilitas Kinerja Instansi Pemerintahan (LAKIP), Rencana Strategis (Renstra) dan Rencana Induk Pengembangan Kampus (RIBKA) atau Milestones dengan melihat indikator, target dan ukuran pada lapran tersebut.


2020 ◽  
Vol 8 (1) ◽  
pp. 91
Author(s):  
Imam Teguh Islamy ◽  
Hanim Maria Astuti ◽  
Radityo Prasetianto Wibowo

DDalam menjalankan fungsi sebagai penilai kinerja pegawai di ITS, Direktorat Sumber Daya Manusia dan Organisasi (DSDMO) ITS masih menggunakan bentuk penilaian Skala Likertz dalam menilai pencapaian terhadap rincian tugas yang dilmiliki oleh pranata komputer. Hal ini memunculkan permasalahan dalam penentuan penilaian kinerja pegawai dalam hal ini pranata komputer yang masih memiliki tingkat subjektif yang tinggi. Hal ini dapat mempengaruhi penilaian kinerja yang diberikan kepada pranata komputer. Untuk mengurangi tingkat subjektif terhadap penilaian kinerja pranata komputer, dibutuhkan sebuah pengukuran kinerja yang berbasis Key Performance Indicator sehingga kinerja dari pranata komputer dapat diukur secara objektif. Selain itu, dibutuhkan sebuah sistem terintegrasi dalam proses pelaporan kinerja pranata komputer agar kinerja dari pranata komputer dapat dipantau secara real-time dan dapat mengetahui tingkat pencapaian kinerja dari pranata komputer.Kata-Kata Kunci: Pranata komputer, Kinerja, Key Performance Indicator, Sistem Pelaporan Kinerja, Dash­board.


2017 ◽  
Vol 22 (5) ◽  
pp. 15-30
Author(s):  
Jin-Wook Han ◽  
Seung Wook Oh ◽  
Chan Ho An ◽  
Hye Ri Park ◽  
Seok Pyo Hong

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