Perancangan dan Pembuatan Sistem Pelaporan Kinerja Berbasis Online untuk Pranata Komputer

2020 ◽  
Vol 8 (1) ◽  
pp. 91
Author(s):  
Imam Teguh Islamy ◽  
Hanim Maria Astuti ◽  
Radityo Prasetianto Wibowo
Keyword(s):  
Real Time ◽  
Performance Indicator ◽  
Key Performance Indicator

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.

scholarly journals Development of a New Green Indicator and Its Implementation in a Cyber–Physical System for a Green Supply Chain

2020 ◽  
Vol 12 (20) ◽  
pp. 8629 ◽  
Author(s):  
Paula Morella ◽  
María Pilar Lambán ◽  
Jesús Royo ◽  
Juan Carlos Sánchez ◽  
Lisbeth del Carmen Ng Corrales
Keyword(s):  
Supply Chain ◽  
Energy Consumption ◽  
Real Time ◽  
Physical System ◽  
Machine Tools ◽  
Industry 4.0 ◽  
Performance Indicator ◽  
Green Supply Chain ◽  
Cyber Physical System ◽  
Key Performance Indicator

This work investigates Industry 4.0 technologies by developing a new key performance indicator that can determine the energy consumption of machine tools for a more sustainable supply chain. To achieve this, we integrated the machine tool indicator into a cyber–physical system for easy and real-time capturing of data. We also developed software that can turn these data into relevant information (using Python): Using this software, we were able to view machine tool activities and energy consumption in real time, which allowed us to determine the activities with greater energy burdens. As such, we were able to improve the application of Industry 4.0 in machine tools by allowing informed real-time decisions that can reduce energy consumption. In this research, a new Key Performance Indicator (KPI) was been developed and calculated in real time. This KPI can be monitored, can measure the sustainability of machining processes in a green supply chain (GSC) using Nakajima’s six big losses from the perspective of energy consumption, and is able to detect what the biggest energy loss is. This research was implemented in a cyber–physical system typical of Industry 4.0 to demonstrate its applicability in real processes. Other productivity KPIs were implemented in order to compare efficiency and sustainability, highlighting the importance of paying attention to both terms at the same time, given that the improvement of one does not imply the improvement of the other, as our results show.

scholarly journals DBA: Dynamic Multi-Armed Bandit Algorithm

2019 ◽  
Vol 33 ◽  
pp. 9869-9870 ◽  
Author(s):  
Sadegh Nobari
Keyword(s):  
Reinforcement Learning ◽  
Real Time ◽  
Performance Indicator ◽  
Learning Algorithm ◽  
Key Performance Indicator ◽  
Practical Solution ◽  
Reinforcement Learning Algorithm

We introduce Dynamic Bandit Algorithm (DBA), a practical solution to improve the shortcoming of the pervasively employed reinforcement learning algorithm called Multi-Arm Bandit, aka Bandit. Bandit makes real-time decisions based on the prior observations. However, Bandit is heavily biased to the priors that it cannot quickly adapt itself to a trend that is interchanging. As a result, Bandit cannot, quickly enough, make profitable decisions when the trend is changing. Unlike Bandit, DBA focuses on quickly adapting itself to detect these trends early enough. Furthermore, DBA remains as almost as light as Bandit in terms of computations. Therefore, DBA can be easily deployed in production as a light process similar to The Bandit. We demonstrate how critical and beneficial is the main focus of DBA, i.e. the ability to quickly finding the most profitable option in real-time, over its stateof-the-art competitors. Our experiments are augmented with a visualization mechanism that explains the profitability of the decisions made by each algorithm in each step by animations. Finally we observe that DBA can substantially outperform the original Bandit by close to 3 times for a set Key Performance Indicator (KPI) in a case of having 3 arms.

Report Key Performance Indicators for Employee Salaries at PT Mayora Indah Tbk

2017 ◽  
Vol 8 (1) ◽  
pp. 15-21
Author(s):  
Muhamad Irsan ◽  
Silvia Ayunda Murad ◽  
Riri Oktaviani
Keyword(s):  
Real Time ◽  
Performance Indicators ◽  
Analytical Methods ◽  
Performance Indicator ◽  
Data Entry ◽  
Relevant Information ◽  
Indicator System ◽  
Balanced Score Card ◽  
Key Performance Indicator ◽  
Score Card

The purpose of this research to solve problems in making decisions on key performance indicator system report. To obtain the data needed for this research, the author uses several methods such as observation, interviews, and literature and uses analytical methods Balanced Score Card (BSC), which researchers use to get the perspectives of the company as a balanced and uses analytical methods PIECES to identify problems. The process of managing the information presented in this system ranging from data entry process, store and update it at any time so that employees and departments "head" to get the relevant information, the latest more easily and in real time, the system is also equipped with a graphic KPI report. With a system of this KPI Report, the manager can see the development of the company annually, making it easier to manage employee appraisal data and make recap the results of employee assessments and facilitate in taking a decision based on the results of this assessment. Keywords: employee assessment, Key Performance Indicator, Report

Pola Penggunanan Balanced Scorcard Pada Indikator Kinerja Utama Universitas Islam Negeri Syarif Hidayatullah Jakarta

2020 ◽  
Vol 7 (11) ◽  
Author(s):  
Fitriadi Fitriadi ◽  
Mahendro Sumardjo ◽  
Jubaedah Jubaedah
Keyword(s):  
Balanced Scorecard ◽  
Performance Indicator ◽  
Key Performance Indicator

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.

Developing Key Performance Indicator for Establishing a CRM Data System of Professional Baseball Team

2017 ◽  
Vol 22 (5) ◽  
pp. 15-30
Author(s):  
Jin-Wook Han ◽  
Seung Wook Oh ◽  
Chan Ho An ◽  
Hye Ri Park ◽  
Seok Pyo Hong
Keyword(s):  
Performance Indicator ◽  
Data System ◽  
Professional Baseball ◽  
Key Performance Indicator ◽  
Baseball Team

Pengembangan Sistem Penunjang Operasional dan Pengelolaan Sumber Daya Manusia untuk Laboratorium Komputer

2015 ◽  
Vol 6 (1) ◽  
pp. 12-19
Author(s):  
Angellia Debora Suryawan ◽  
Marlene Martani ◽  
Mahenda Metta Surya
Keyword(s):  
Resource Management ◽  
Human Resources ◽  
Human Resource Management ◽  
Human Resource ◽  
Support System ◽  
Performance Indicator ◽  
Management Support ◽  
Key Performance Indicator ◽  
Literature Study ◽  
Operational Support System

Human resources are an important asset in the entire company operations activity. A human resources management support system should be provided to improve performance in  accordance with the company target. The purpose of this study is to design a model of operational and human resource management support systems that can integrate employee performance data, simplify management of employee data, and generate reports in the form of Key Performance Indicator (KPI) and Binusian Level. Methodology used in this study is using literature study, design, and test a model to make operational and human resource management information system. Index Terms - human resources, operational support system, Key Performance Indicator (KPI)  

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