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All Journal Tech-E SKANIKA: Sistem Komputer dan Teknik Informatika Algor Jurnal Pepadun
Amat Basri
Universitas Buddhi Dharma
Computer Science & IT Control & Systems Engineering Engineering

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Journal : Tech-E

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Information of System Monitoring by Network Oparation Center Amat Basri; Alexius Hendra Gunawan
Tech-E Vol 4 No 2 (2021): Tech-E
Publisher : Fakultas Sains dan Teknologi-Universitas Buddhi Dharma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31253/te.v4i2.533

Abstract

Network Operation Central (NOC), an Enterprise Service Division which functions to carry out monitoring and supervision activities of Telkom network equipment located at Plaza Indonesia. Customer satisfaction is the basis and goal that is always hoped for by customers, by carrying out maintenance activities of network devices, and carrying out solutions when problems occur in customers are expected to be an efficient and effective service quality standard. This study wants to know that the construction of a monitoring system for NOC work activities can improve service quality. The quality of this system can be measured using the ISO9126 model, by adapting four characteristics of software quality: functionality, reliability, usability, and efficiency. The system development model uses the Rapid Application Development (RAD) and Joint Application Development (JAD) models. Researchers will analyze and design the system using the Unified Model Language (UML), then by coding with PHP programming and MySQL databases, and data collection using a questionnaire, and system testing using the Blackbox Testing model. Based on testing using ISO 9126 the results are functionality (80%), reliability (79%), usability 86%), and efficiency (79%). Overall the result was 81% (good).
Customer Relationship Management Information System in Medika Lestari Hospitals Tugiman Tugiman; Amat Basri; Benny Daniawan
Tech-E Vol 3 No 2 (2020): Tech-E
Publisher : Fakultas Sains dan Teknologi-Universitas Buddhi Dharma

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (508.761 KB) | DOI: 10.31253/te.v3i2.324

Abstract

Marketing strategies based on efforts to create relationships between companies and customers are better known as Customer Relationship Management (CRM). CRM is a corporate strategy used to pamper customers so they don't look away. This study wants to find out and improve relations between hospitals and patients. Besides that, by building this system, can it affect customer / patient satisfaction. The quality of information systems is measured using the ISO 9126 model by adapting four characteristics of software quality: Functionality, Reliability, Usability, and Efficiency. The system development method uses the Rapid Application Development (RAD) model. Researchers will conduct system analysis and design using the Unified Model Language (UML), then coding with the PHP programming language and MySQL database, as well as collecting data using a questionnaire, and testing the system using the Blackbox Testing model. Based on testing using ISO 9126 the results are functionality (83%), Reliability (86%), Usability (87%), and Efficiency (83%). Overall the results are 85% (very good).
Implementation of Random Forest Algorithm on Palm Oil Price Data Arif Rahman Hakim; Dewi Marini Umi Atmaja; Amat Basri; Muhamad Syafii
Tech-E Vol. 6 No. 2 (2023): The Tech-E Journal Vol. 6 No. 2 publishes research papers in such informatics:
Publisher : Fakultas Sains dan Teknologi-Universitas Buddhi Dharma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31253/te.v6i2.1757

Abstract

One of the potential commodities that are widely cultivated in Indonesia is palm oil, and palm oil or commonly referred to as palm oil is one of the processed products of palm oil which generates the most important foreign exchange for Indonesia. Data mining is a process that utilizes mathematical techniques, statistics, artificial intelligence, and machine learning techniques to extract and identify useful information and related knowledge from large databases [3], including palm oil price data. Random Forest is one of the methods in the decision tree. A decision tree is a flowchart shaped like a tree with a root node that is used to collect data that is used to solve problems and make decisions. In this study, a random forest algorithm was used to classify palm oil price data from 2014 to 2019. The classification method used the random forest algorithm on palm oil data using the Mtry parameter of 1 and the Ntree parameter of 500 resulting in an accuracy percentage of 100%. The most influential variable (importance variable) in the classification model using the resulting random forest algorithm is the palm oil variable.
Identifikasi Kebangkrutan Perusahaan Menggunakan Algoritma Regresi Linear Berganda Deny Haryadi; Arif Rahman Hakim; Dewi Marini Umi Atmaja; Amat Basri; Risma Adisty Nilasari
Tech-E Vol. 6 No. 2 (2023): The Tech-E Journal Vol. 6 No. 2 publishes research papers in such informatics:
Publisher : Fakultas Sains dan Teknologi-Universitas Buddhi Dharma

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

Abstract

Corporate bankruptcy can hurt the company and affect the state of the economy. Therefore, many interested parties want to know the business situation related to the company. These parties include creditors, auditors, shareholders, and management itself who have an interest in knowing the state of the company in the context of bankruptcy. The past financial statements of a company can be used to predict future financial conditions using report analysis techniques. In the risk assessment process, expert knowledge is still seen as an important task, because expert predictions are subjective. This study aims to predict the bankruptcy of the company using influencing factors such as the level of research and development costs, the growth rate of total assets, and the current asset turnover rate. The method used in this research is the prediction method using the Linear Regression Algorithm. Based on the test results show that the variables or attributes used in this study have a significant effect, as evidenced by using a linear regression algorithm to be able to produce a Root Mean Squared Error value: 0.162 +/- 0.000.
Co-Authors Alexius Hendra Gunawan Andi Leo Arif Rahman Hakim Benny Daniawan Deny Haryadi Dewi Marini Umi Atmaja Hendri Goutama Kevin natanael Muhamad Syafii Raditya Rimbawan Risma Adisty Nilasari Suharyanti Suharyanti Tugiman Tugiman Tugiman Tugiman Verri Kuswanto