Prediksi Target Sistem Productivity Services menggunakan Penerapan Algoritma C4.5 pada PT. Sanggar Sarana Baja Jakarta

There are many ways that each service provider company does, especially services to win the competition, among others, by increasing service productivity targets. One service provider company that is committed to increasing service productivity targets is PT. Sanggar Sarana Baja. This study aims to predict service productivity system targets using the application of Algortima C4.5 at PT. Sanggar Sarana Baja. The attributes of working time input in this study include area, performance, efficiency, and productivity. In this study, it was found that the results obtained came from several input attributes which resulted in a causal relationship in classifying the results of service productivity targets at PT. Sanggar Sarana Baja. This research is expected to help PT. Sanggar Sarana Baja in increasing customer satisfaction to retain customers and increase profits of PT. Sanggar Sarana Baja. Based on the classification results using the C4.5 Algorithm, it shows that the accuracy reaches 95.00%, which indicates that the C4.5 algorithm is suitable for measuring the target level at PT. Sanggar Sarana Baja. Keywords: Accuracy, Validation, Decision Tree, Data mining, KDD, C4.5 Algorithm, Services Companies, Target Services Productivity Systems Banyak cara yang dilakukan oleh masing - masing perusahaan penyedia jasa, khususnya servis untuk memenangkan persaingan, antara lain dengan meningkatkan target produktivitas servis. Salah satu perusahaan penyedia jasa servis yang berkomitmen dalam meningkatkan target produktivitas servis adalah PT. Sanggar Sarana Baja. Penelitian ini bertujuan untuk memperdiksi target sistem produktivitas servis menggunakan penerapan Algoritma C4.5 pada PT. Sanggar Sarana Baja. Atribut masukan waktu kerja dalam penelitian ini mencangkup daerah, kinerja, efisiensi, dan produktivitas. Dalam penelitian ini, didapatkan bahwa hasil yang didapatkan berasal dari beberapa atribut masukan menghasilkan hubungan sebab -akibat dalam mengklasifikasikan hasil dari target produktivitas servis pada PT. Sanggar Sarana Baja. Penelitian ini diharapkan dapat membantu pihak PT. Sanggar Sarana Baja dalam meningkatkan kepuasan konsumen untuk mempertahankan pelanggan dan meningkatkan laba PT. Sanggar Sarana Baja tersebut. Berdasarkan hasil klasifikasi menggunakan Algoritma C4.5 menunjukkan bahwa diperoleh akurasi mencapai 95,00%, yang menunjukkan bahwa algoritma C4.5 cocok digunakan untuk mengukur tingkat target pada PT. Sanggar Sarana Baja. Kata kunci: Akurasi, Validasi, Decision Tree, Data mining, KDD, Algoritma C4.5, Perusahaan Jasa, Target Sistem Productivity ServicesReferensi[1] Yulia and N. Azwanti, “Data Mining Prediksi Besarnya Penggunaan Listrik Rumah Tangga di Kota Batam Dengan Menggunakan Algoritma C4.5,” Semin. Nas. Ilmu Sos. dan Teknol., vol. 1, no. 1, pp. 175–180, 2018.[2] R. Novita, “Teknik Data Mining?: Algoritma C 4 . 5,” pp. 1–12, 2016.

Sistema de gestión de la productividad del sector servicio en el municipio San Cristóbal del estado Táchira, Venezuela // Productivity management system for the service sector in the San Cristóbal municipality of Táchira state, Venezuela

El objetivo de la presente investigación es diseñar un sistema de diagnóstico, medición y mejoramiento de la productividad dirigido a la calidad de servicio. El nivel es descriptivo, diseño de campo, se utilizó como instrumento un cuestionario para conocer la gestión de la productividad y el uso del Servqual para conocer la percepción de calidad de los clientes. Se encontraron algunas deficiencias entre las que destacan: no todas las empresas toman acciones para mejorar la productividad, 50,23% no monitorean los planes de mejoramiento continuo; más del 50% no realizan evaluaciones de desempeño; 30,6% no otorgan recompensas adicionales al salario; en cuanto a la calidad del servicio prestado, la dimensión seguridad presenta la mayor brecha entre las expectativas y las percepciones con un puntaje de (-15,59); las dimensiones restantes presentan también deficiencias, dado que no cumplen con las expectativas de los clientes. Por lo tanto, se pone de manifiesto, que las empresas se enfoquen en su personal tanto en su recompensa y capacitación, ya que esto conlleva a la satisfacción del cliente; también es importante señalar que dependiendo del rubro se hace énfasis en la productividad de sus procesos principales; siendo el mantenimiento el proceso medular del rubro transporte, la calidad de servicio es el sector público, debido a que prestan un servicio social, y en el sector bancario es vital velar por una eficiente gestión financiera. Lo anterior justifica el diseño de un sistema de productividad, dirigido a la calidad del servicio, conformado por entradas, procesos y salidas del sistema; se formularon indicadores con el propósito de medir la productividad y la calidad del servicio en estas empresas. AbstractThe objective of this research is to design a system for diagnosis, measurement and improvement of productivity aimed at quality of service. The level is descriptive, field design; a questionnaire was used as a tool for knowing the management of the productivity and the use of the Servqual for knowing the quality perception of the clients. Some deficiencies were found among which are: not all the companies take actions to improve productivity, 50.23% do not monitor the plans for continuous improvement; more than 50% do not conduct performance evaluations; 30,6% do not grant additional rewards to the salary; the security dimension presents the major gap between expectations and perceptions with a score of (-15.59), in terms of the quality of the service provided; the remaining dimensions also have deficiencies, because they do not meet the expectations of customers. Therefore, it is clear that companies focus on their staff in both their reward and training, as this leads to customer satisfaction; It is also important to point out that depending on the item, emphasis is done on the productivity of its main processes; being the maintenance and quality of service the fundamental process of the transport item in the public sector, because they provide a social service, and in the banking sector it is vital to ensure an efficient financial management. This justifies the design of a productivity system, aimed at the quality of service, consisting of inputs, processes and outputs of the system; indicators were formulated with the purpose of measuring productivity and quality of service in these companies.

R&D Productivity in the Pharmaceutical Industry

The pharmaceutical industry is in a R&D productivity crisis. Rapidly increasing development costs, decreasing profitability of new medical entities and missing breakthrough innovations are negatively affecting the future of the pharmaceutical industry. This complex problem requires a systems thinking approach to find effective solutions. In this study, a general pharmaceutical R&D productivity system has been modeled as a Bayesian Belief Network (BBN). This model is based on a literature review and the mental model of experts in the pharmaceutical field. The model does not only support users to understand the system but is also able to simulate different future scenarios. A blockbuster drug scenario, a generic drug scenario, and a personalized drug scenario has been modeled with three different corresponding outcomes. These simulations enables decision makers to identify the leverage points of the pharmaceutical R&D productivity system. These leverage points could be the foundation of any further strategy development. The R&D productivity system archetype is potentially applicable for other R&D intensive industries.