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All Journal bit-Tech Jurnal Informatika
Moedjiono Moedjiono
Universitas Budi Luhur
Computer Science & IT

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Selection of the Best Lecturers using the AHP (Analytical Hierarchy Process) and TOPSIS (The Technique for Order of Preference by Similarity to Ideal Solution): Case Study of STMIK Insan Pembangunan Winny Purbaratri; Moedjiono Moedjiono; Moch. Fajar Purnomo Alam
bit-Tech Vol. 1 No. 2 (2018): Data and Information Quality
Publisher : Komunitas Dosen Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (607.965 KB) | DOI: 10.32877/bt.v1i2.38

Abstract

STMIK Insan Pembangunan is a College that was established in 1990, located in Tangerang Regency. Supported by 41 Lecturer staff. Lecturers have the position as professional staff at the higher education level who are appointed in accordance with the laws and regulations. Lecturers are educators who provide a number of knowledge to students in universities or universities. The best lecturer selection system is used to support learning and teaching activities in the campus so that students are competent in the field of concentration taken. So it is needed teaching staff or lecturers who are competent in their fields, in this case to meet the criteria of the competent lecturer is needed a system that supports in this case deciding which lecturers are considered the best. The process of selecting the Best Lecturers in the current system is that there is a shortage that takes a long time to process the results of the questionnaire data and only uses one of the criteria of the Tridarma of Higher Education, namely Education and Teaching. So that the resulting decision is not yet valid. In this study a Decision Support System (DSS) will be made where the decision support system can help a person in making accurate and well-targeted decisions. The method used is AHP to calculate the weight of each criterion and TOPSIS to rank each alternative based on each criterion. The results obtained in this study are a system that is able to produce the best rank of lecturers in STMIK Insan Pembangunan.
Penentuan Server Kritis Dengan Menggunakan Fuzzy Mamdani Dan Fuzzy Sugeno Pada PT SAMUDERA INDONESIA TBK suhaemi suhaemi; Moedjiono Moedjiono; Arriyadi Ade Sunarto
bit-Tech Vol. 1 No. 3 (2019): Learning Synchronous and Asynchronous in the Industry 4.0
Publisher : Komunitas Dosen Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (715.249 KB) | DOI: 10.32877/bt.v1i3.62

Abstract

CRITICAL SERVER DETERMINATION USING FUZZY MAMDANI AND FUZZY SUGENO METHODS :CASE STUDY PT SAMUDERA INDONESIA TBKBy : Suhaemi (1611601392)PT Samudera Indonesia Tbk is a company engaged in the field of logistics. As a service company, prioritizes services especially in providing information services to the customer or client. However, in the common problems of the technology information system which is used in particular is happening is the server down. This is due to several factors could not be predicted. Plus the company is still dependent on the role of the IT personnel to wait for handling server down occurrences. The effort to know the level of critical server is one of the prevention or mitigation of interference that are at risk of fatal to the business processes of the company then needed a decision support system. In this study, the author compares the mamdani fuzzy logic method calculations with fuzzy sugeno method to measure the level of critical servers used PT Samudera Indonesia Tbk. This research resulted in a prototype that is built with MATLAB R2013a, can be used to calculate the critical level on the server. The prototype uses two methods of fuzzy mamdani and sugeno fuzzy. Accuracy of Mamdani fuzzy method has a 85,21% average. Of the two methods of calculation, the highest accuracy rating results will serve as a reference in determining a critical server.Keywords: SPK, Server, Fuzzy Mamdani, Fuzzy Sugeno, Matlab R2013a
Co-Authors Arriyadi Ade Sunarto Bahar Sobari M. Asep Rizkiawan Moch. Fajar Purnomo Alam Purbaratri, Winny suhaemi suhaemi