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All Journal SAINSTECH: Jurnal Penelitian dan Pengkajian Sains dan Teknologi Neptunus: Jurnal Ilmu Komputer dan Teknologi Informasi
Chrisantus Tristianto
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Biochemistry, Genetics & Molecular Biology Civil Engineering, Building, Construction & Architecture Computer Science & IT Electrical & Electronics Engineering Engineering Mechanical Engineering

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PENGEMBANGAN SISTEM EVALUASI DOSEN MENGGUNAKAN LOGIKA FUZZY Chrisantus Tristianto
SAINSTECH: JURNAL PENELITIAN DAN PENGKAJIAN SAINS DAN TEKNOLOGI Vol 32 No 2 (2022): Sainstech : Jurnal Penelitian dan Pengkajian Sains dan Teknologi
Publisher : Institut Sains dan Teknologi Nasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37277/stch.v32i2.1296

Abstract

Abstract In educational institutions, success is measured by the achievements of lecturers, or how many qualified lecturers meet the competency standards set by the Higher Education policy or campus quality assurance institution. This study tends to examine the superiority of the membership function in the process for fuzzy inference using the Mamdani method, to further accelerate and sharpen the accuracy of the lecturer's assessment by applying scientific techniques and also to avoid errors in the assessment that can be done manually. The results of our method for several real samples show that our approach can be used to evaluate the performance of Information Systems lecturers at Pamulang University. Keywords: Fuzzy logic, Lecturer Evaluation, Matlab, Mandani
Prediksi Pemilihan Fakultas Di Universitas Pada Sekolah Menengah Atas Negeri XXX Tangerang Selatan Dengan Menggunakan Algoritma C4.5 Chrisantus Tristianto; Afrizal Zein
SAINSTECH: JURNAL PENELITIAN DAN PENGKAJIAN SAINS DAN TEKNOLOGI Vol 32 No 4 (2022): Sainstech : Jurnal Penelitian dan Pengkajian Sains dan Teknologi
Publisher : Institut Sains dan Teknologi Nasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37277/stch.v32i4.1469

Abstract

Abstract This research was made to determine and find out the selection of faculties/departments that students will choose after they graduate. The data studied were 203 student data consisting of 169 students majoring in Science, while for Social Sciences majors there were 34 students. The method used in this research is to use the C4.5 algorithm method which can manage input values ​​based on UN scores (national exams) for certain subjects. This standard can be measured quantitatively using the C4.5 data mining algorithm method. The application is designed to be able to analyze the grades students receive after graduation. From the existing problems, a classification method is tested by applying a decision tree model, namely using the C4.5 method. After testing, the results obtained were that when running the decision tree algorithm, the accuracy of the C4.5 prediction obtained the highest accuracy of 77.16%. Keywords: Analysis, C4.5 Algorithm, Faculty Selection, Prediction
Sistem Informasi Inventory Barang Pada Toko Agen Umi Berbasis Web Menggunakan Metode Prototype Dhea Amalia Putri; Chrisantus Tristianto
Neptunus: Jurnal Ilmu Komputer Dan Teknologi Informasi Vol. 2 No. 3 (2024): Agustus : Jurnal Ilmu Komputer Dan Teknologi Informasi
Publisher : Asosiasi Riset Teknik Elektro dan Informatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/neptunus.v2i3.223

Abstract

In an era where information technology and communication continue to advance, competition in the business world is becoming increasingly intense. Companies must strive and employ strategies to sustain their businesses. Success is closely related to a company's ability to manage inventory effectively to meet customer demand maximally. This research aims to develop a web-based inventory management information system for Toko Agen Umi to facilitate the management of stock data and transactions. The development approach adopted is Prototype. The anticipated outcome of implementing this system analysis is to streamline the creation of Purchase Orders, Delivery Orders, and inventory reports with a user-friendly interface. The application aims to organize inventory management in a more structured, systematic, and computerized manner to prevent calculation errors. It is advised not to adhere strictly to one system to allow for continual learning and development in the process.
Co-Authors Afrizal Zein Dhea Amalia Putri