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ANALYSIS NETWORK INSTALLATION ON INDIHOME AND DOUBLE CONFIGURATION ON DASHBOARD VOICE SERVICE SURVEILLANCE TREG-3 Islamia Nuraini
Journal Publicuho Vol. 6 No. 3 (2023): August - October - Journal Publicuho
Publisher : Halu Oleo University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35817/publicuho.v6i3.249

Abstract

The projects related to management system and business processes have a low risk in every job. This method can be done in overcoming installation problems on Indihome that add performance to customers consists of an aggregate effort to perform maintenance by effectively utilizing and material through the application standard procedures that the company has to develop the system. The business orientation has a correlation between production process focus and performance at the business unit level using the profit impact of marketing strategies database. The relationship between production process focus and financial performance for business units was partially supported using return on sales, and was not supported with return on assets and return on income. The companies have prioritized this Enterprise Resource Planning (ERP) plan to manage their daily business activities, such as financial management, procurement, production, projects, human resources, and others. The system can facilitate businesses with real-time and accurate information. The implication is hase degree of production process focus must be recognized as part of a manufacturing strategy that is consistent with an overall business strategy. The method has purpose problems found in the network installation on Indihome and double configuration contained of voice service Treg-3 surveillance to reduce the obstacles that occur in customers. The case study uses the Network Installation method, Activity Diagram, Use Case Diagram, Deployment Diagram, DFD level 0, DFD level 1, DFD level 2
ANALISIS PEMELIHARAAN PREDIKTIF KENDARAAN OPERASIONAL MENGGUNAKAN ALGORITMA NAÏVE BAYES DAN DECISION TREE Islamia Nuraini; Arnowo Hari Wibowo; Muhammad Asrol; Taufik; Dyah Lang Wilis
Journal Publicuho Vol. 7 No. 2 (2024): May - July - Journal Publicuho
Publisher : Halu Oleo University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35817/publicuho.v7i2.412

Abstract

Utilizing the team to carry out operational vehicle maintenance activities is crucial to maintaining smooth mobility. Well-scheduled maintenance can prevent unexpected problems and minimize disruption to vehicle operations. The problem is that the implementation of operational vehicle maintenance policies is not yet optimal. The aim of this research is to focus on operational vehicles so that use is not disrupted and mobility runs smoothly, maintenance scheduling is needed. Completion of this research method will use the Naïve Bayes and Decision Tree data mining applications. This research produces a comparison of the two data mining applications to determine maintenance performance with an accuracy level of the Naïve Bayes method of 33.33% and a Decision Tree at 75.00%. The results of the best algorithm performance analysis are used as a reference for implementing vehicle maintenance scheduling.