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Improvement Quality of Occupational Health and Safety Testing Laboratory Services Using Quality Function Deployment Method Dimas Mukhlis Fathurohman; Wawan Herwanta; Intan Novitas Dewi; Krisnawanti Krisnawanti
IJIEM - Indonesian Journal of Industrial Engineering and Management Vol 4, No 2: June 2023
Publisher : Program Pascasarjana Magister Teknik Industri Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/ijiem.v4i2.19655

Abstract

Efforts to improve the quality of OHS laboratory services this study aims to determine characteristics that have not met customer expectations and provide suggestions for OHS testing laboratory services. SERVQUAL and QFD methods are used in this study, which are based on 5 dimensions and 19 variables indicating customer expectations are greater than perceptions. Then the results in improving the quality of OHS laboratory test services required improvement of QFD analysis attributes withHouse of Quality second stage. The results of this study are in the form of main recommendations for developing integrated programs, namely increasing the intensity of communication to customers, holding comparative studies with overseas laboratories, renovating testing laboratories and facilities, training motivation and improving work culture, appointing suppliers for special testing equipment and reagents and distributing questionnaires. and discussions with consumers. Findings in research can assist management in improving service quality for customer satisfaction.
Inventory Control at The Perintis Cimaung Pharmacy Using Open Source Enterprise Resource Planning System: Odoo 14.0 Krisnawanti Krisnawanti; Nava Gia Ginasta; Muhammad Faisal Nasrudin; Amida Anis Nasution
RISTEC : Research in Information Systems and Technology Vol 4, No 1 (2023): Riset Sistem dan Teknologi Informasi
Publisher : Institut Pendidikan Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31980/ristec.v4i1.3112

Abstract

Along with the times and technology, more and more companies are switching from manual management of business processes to integrated information systems. Perintis Pharmacy is a pharmacy located in the Bandung district. Perintis Pharmacy has been serving its customers since 2010. However, Perintis Pharmacy has experienced several problems, where all business processes are still carried out manually. Errors frequently occur in both the service process and the inventory management system. Errors in stock calculations and ordering are the main obstacles. This causes the Pharmacy to experience losses both in terms of service quality and financially. So it is necessary to implement an integrated system so that inventory management becomes more effective and efficient, namely the application of an Enterprise Resource Planning (ERP) system that is integrated with forecasting simulations to obtain a more accurate amount of drug procurement. Demand forecasting is done using Time Series data with the Single Exponential Smoothing method, given the fluctuating demand every month. Then the forecasting results are integrated with the ERP system using the Odoo 14.0 application in the invoice, purchase, and inventory modules. By using the Odoo 14.0 application, it is expected that Perintis Pharmacy can increase efficiency and effectiveness in managing drug supplies so as to improve service quality and financial benefits.
Comparison of Support Vector Machines and Multilayer Perceptrons in the Classification Process: A Case Study of Heart Disease Analysis krisnawanti, Krisnawanti
RISTEC : Research in Information Systems and Technology Vol. 5 No. 2 (2024): RISTEC: Research in Information Systems and Technology
Publisher : RISTEC : Research in Information Systems and Technology

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Pattern Recognition is an important area in computer science that maps data to predefined concepts. Support Vector Machines (SVM) are particularly effective due to their ability to identify the optimal hyperplane that separates two classes in the feature space. Unlike neural networks, which look for a separating hyperplane, SVM determines the best hyperplane in the input space. SVM primarily serves as a linear classifier but can also address non-linear problems through the kernel trick, enabling high-dimensional operations. This paper delves into the foundational principles of SVM and its applications, specifically in classifying heart disease symptoms in individuals. The research includes the implementation of Gaussian Radial Basis Function (RBF) and Polynomial (POLY) kernel functions, along with various parameters affecting SVM performance. Additionally, a comparative analysis with Multilayer Perceptron (MLP) for data classification is presented to evaluate the effectiveness of the proposed kernel functions.
Peningkatan Kompetensi Guru dalam Sistem Informasi Logistik Melalui Pendekatan Model Pedagogis COMP-LETE Mulyati, Erna; Maniah, Maniah; Krisnawanti, Krisnawanti; Permadi, Dodi
Abdimas Galuh Vol 7, No 1 (2025): Maret 2025
Publisher : Universitas Galuh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25157/ag.v7i1.18120

Abstract

SMK Negeri 1 Subang merupakan sekolah kejuruan yang mengkhususkan diri dalam bidang Teknik Logistik. Sekolah ini bertujuan untuk meningkatkan kualitas guru dan meningkatkan lapangan kerja lulusan di industri logistik. Guru bertanggung jawab untuk membekali siswa dengan kompetensi ilmiah dan teknologi yang penting untuk membantu mereka bersaing dalam peluang kerja. Pelatihan diperlukan bagi guru dan siswa untuk mengatasi tuntutan yang terus berkembang dalam bidang logistik, khususnya dalam sistem informasi. Program pelatihan offline akan didasarkan pada model pedagogis COMP-PLETE, yang mencakup sesi pelatihan bagi guru dan siswa tentang sistem informasi logistik dan pelatihan praktis yang difokuskan pada penerapan sistem ini. Efektivitas akan diukur melalui tes pretest-posttestĀ  untuk pemahaman konsep, observasi selama presentasi materi, dan penilaian melalui angket penilaian diri dan anatarteman. Analisis dilakukan dengan Uji N-Gain. Hasil analisis menunjukkan bahwa pelatihan luring dengan pendekatan COMP-PLETE efektif meningkatkan kompetensi peserta di bidang Sistem Informasi Logistik. Luaran dari Pengabdian kepada Masyarakat ini adalah materi pelatihan, modul pelatihan, dan sertifikat pelatihan.