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All Journal CKI On Spot Computing and Information System Journal
Tri Agus Setiawan
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Computer Science & IT

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SISTEM PENDUKUNG KEPUTUSAN PENILAIAN KARYAWAN BERPRESTASI DENGAN METODE SIMPLE ADDITIVE WEIGHTING PADA PT FORTECH INDOTAMA Tri Agus Setiawan; Nurmalasari Nurmalasari; Dwi Yuni Utami
CKI ON SPOT Vol 11, No 1 (2018): CKI ON SPOT
Publisher : STIKOM CKI

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Abstract

In a company or organization outstanding employee appraisal is very important in order to motivate employees in the work, evaluating and planning the future. Outstanding employee assessment should be done with a good and appropriate methods, so as to produce a correct judgment. In determining the top performers with a subjective assessment is less precise because of the absence of assigning weights to each criterion in the assessment that may not pay attention to aspects of another assessment. Then the decision support system can be used to assess top performers with Simple Additive weighting method (SAW). Simple Additive weighting method chosen for assessing and ranking the performance keryawan. From the test results it can be concluded that this application can be used for the assessment of outstanding employee at PT.Fortech Indotama.
Integration of Spatial and Demographic Data into a Web-Based Platform for the Family Planning Program Using the Closed Polygon Method (A Case Study in Pekalongan City) Agus Ilyas; Sattriedi Wahyu Binabar; Tri Agus Setiawan; Hari Agung Budijanto
Computing and Information System Journal Vol. 1 No. 2 (2025): Integration of Automation and Information Systems in Enhancing Organizational C
Publisher : IndoCompt Publisher

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Abstract

The Family Planning (FP) program requires a data-driven approach to enhance service effectiveness. This study aims to develop a web-based platform that integrates spatial data (based on closed KML polygons) with demographic data to map the FP program’s target areas in Pekalongan City. The closed polygon method is used to accurately delineate administrative regions (urban villages, community units, or neighborhood units), while demographic data (reproductive age groups, active FP participants, etc.) are dynamically displayed in an interactive interface. The platform is built using Leaflet.js (web mapping) and MySQL (spatial database), enabling density analysis of FP targets per area. Trial results show that this integration increases targeting precision by 25% compared to conventional methods, while also facilitating monitoring by relevant agencies. This study demonstrates that a geospatial approach using closed polygons can be an efficient solution for managing FP programs in urban areas like Pekalongan. The findings show that using closed polygons in FP mapping provides more accurate visualization of population density and service distribution. With the web-based platform, accessibility and monitoring of FP programs can be improved, enabling more effective data-driven decision-making.
Co-Authors Agus Ilyas Dwi yuni Utami Hari Agung Budijanto Nurmalasari Nurmalasari Sattriedi Wahyu Binabar