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All Journal OKTAL : Jurnal Ilmu Komputer dan Sains
Robby Jordan
Universitas Pamulang
Astronomy Chemistry Computer Science & IT Electrical & Electronics Engineering Social Sciences

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Pengujian Perangkat Lunak Sistem Informasi Penilaian Siswa dengan Teknik Boundary Value Analysis Menggunakan Metode Black Box Testing Alifia Puspaningsih; Dimas Nugroho; Robby Jordan; Yoga Pratama; Aries Saifudin
OKTAL : Jurnal Ilmu Komputer dan Sains Vol 1 No 12 (2022): OKTAL : Jurnal Ilmu Komputer dan Sains
Publisher : CV. Multi Kreasi Media

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Abstract

In this research, the software to be tested is the student assessment application. With this application, it is expected to make it easier to present student assessments. The student's assessment will enter the database and the application can calculate the absence score, assignment score, uts score, uas score and the average score of the student. Each student only needs a grade validation to be input into the student assessment application. Student assessment data can be viewed by the supervising teacher in the form of data with name, attendance and subject information. Using methods when conducting research helps you create reports based on the data obtained during the research. Our group used the Boundary Value Method. Testing software in this way includes representative limits in the scope. The boundary analysis technique helps determine the lower limit and upper limit of the tested student data. Student assessment data including name, Nrp, daily grades, midterm grades and final exam scores were displayed along with user-entered total grade data and calculated and interpreted averages. It is concluded that testing the application by focusing on the input and output shows. From this we can conclude that the black-box testing of the application is only focused on the inputs and outputs that indicate whether the developed application conforms to a particular description.
Analisa Perbandingan Metode SAW, WP dan TOPSIS Dalam Sistem Pendukung Keputusan Pada Kasus Pemilihan Manajer Ilham Ramdani; Syahrul Ramadan; Risky Tuah Sinaga; Wahyu Diansyah; Robby Jordan
OKTAL : Jurnal Ilmu Komputer dan Sains Vol 2 No 08 (2023): OKTAL : Jurnal Ilmu Komputer Dan Sains
Publisher : CV. Multi Kreasi Media

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In making a decision, it is necessary to have the right consideration so that you don't regret making a decision.If a wrong step in making a decision will certainly be fatal for the person who made the decision.Therefore we need a system that can analyze a decision.Decision support systems are one of the sciences of information systems that are intended as a tool for decision making.Decision support systems are designed to offer decision makers different options for completing tasks.Decision support systems incorporate computational capabilities into interactive services to users by processing or manipulating data using certain structured models or rules to produce various decisions in decision-making situations.There are several methods analyzed in decision making systems such as simple additive weighting (SAW), product weight (WP), Technique for Order Preference by Similarity to Ideal Solution (TOPSIS).
IMPLEMENTASI METODE SAW, WP DAN TOPSIS DALAM MENENTUKAN KARYAWAN TERBAIK Dimas Nugroho; Robby Jordan; Yoga Pratama; Perani Rosyani
OKTAL : Jurnal Ilmu Komputer dan Sains Vol 2 No 09 (2023): OKTAL : Jurnal Ilmu Komputer Dan Sains
Publisher : CV. Multi Kreasi Media

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Abstract

In a company it is important that determines the quality of the employees at work who participate in developing the company. Therefore with the existence of a decision support system. This decision support system aims to expand decision-making capabilities in processing data and information for the user. The choice of the SPK method for solving problems has a major impact on the results obtained. Lack of knowledge about the functions and benefits of the SPK method leads to poor decision making. The problem that is often encountered is the selection of the DSS method to be used to solve a problem. This study will use the SAW (Simple Additive Weighting Method), WP (Weighted Product) method, TOPSIS (Technique for Order Preference by Similarity to Ideal Solution). So that we know the results of these three methods, successful or not, so that the company can know the capabilities of these employees.
Co-Authors Alifia Puspaningsih Aries Saifudin Dimas Nugroho Ilham Ramdani Perani Rosyani Risky Tuah Sinaga Syahrul Ramadan Wahyu Diansyah Yoga Pratama