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All Journal Jurnal Manajemen Informatika J-Intech (Journal of Information and Technology)
Sulthanah, Rana
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Computer Science & IT Decision Sciences, Operations Research & Management Engineering Library & Information Science

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Prediksi Kelulusan Mata Kuliah Mahasiswa Teknologi Informasi Menggunakan Algoritma K-Nearest Neighbor Ahmad, Nazaruddin; Hafizh, Saifan; Sulthanah, Rana
Jurnal Manajemen Informatika JAMIKA Vol 14 No 2 (2024): Jurnal Manajemen Informatika (JAMIKA)
Publisher : Program Studi Manajemen Informatika, Fakultas Teknik dan Ilmu Komputer, Universitas Komputer Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34010/jamika.v14i2.12454

Abstract

This research aims to develop a predictive model using the K-Nearest Neighbor (KNN) method to forecast the course completion of students in the Information Technology program. The issue at hand is the uncertainty in predicting student success based on historical data and specific attributes. This study focuses on the importance of understanding the factors that influence student success in the Database Management Systems course to provide accurate predictions and help improve student pass rates in this course. The objective of this research is to build a predictive model using the KNN algorithm and to implement this model using the PHP programming language. The study aims to offer valuable insights for educational institutions to enhance teaching and learning processes and to expand understanding of data mining concepts in specific case studies. The prediction aims to determine whether a student will pass or fail the Database Management Systems course based on predetermined training and testing data. By calculating the nearest distance between the training data and the test data. The results showed an accuracy rate of 90% for predicting course completion using k=5, with a dataset consisting of 40 training data points and 20 testing data points.
Penerapan Metode McCulloch-Pitts Menggunakan Python Untuk Pengujian Pengenalan Pola Operator AND, Operator OR, Operator XOR Pada Fungsi Logika Sulthanah, Rana; Ahmad, Nazaruddin
J-INTECH (Journal of Information and Technology) Vol 11 No 2 (2023): J-Intech : Journal of Information and Technology
Publisher : LPPM STIKI MALANG

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32664/j-intech.v11i2.1022

Abstract

Artificial neural networks (ANNs) are a part of artificial intelligence that applies the concept of how the biological neural network in humans operates. The primary advantage of ANNs lies in their ability to recognize specific patterns, such as the pattern notation of logic functions tested in this study using the McCulloch-Pitts model. Testing the pattern recognition of logic functions, involving AND, OR, and XOR operators, entails input variables: values X1, X2, and other input values (Xn), as well as target values (t) that match the truth table forms of each logic function. The test results indicate the alignment of the testing process using the concept of artificial neural networks with the patterns of logic functions. The implementation of the test is carried out using the Python programming language, which can produce conformity in the pattern forms of logic functions. The testing process is conducted by determining input values for each variable used in the logic functions, inputting weights (W) for each input value, and setting a threshold value directly to obtain results that align the output with the target.
Perancangan Sistem Informasi Buku Tamu Berbasis Web Pada Kantor Kementerian Hukum dan Hak Asasi Manusia Banda Aceh Pratiwi, Icha Widya; Ahmad, Nazaruddin; Hadinegoro, Arifiyanto; Hafizh, Saifan; Sulthanah, Rana
J-INTECH (Journal of Information and Technology) Vol 12 No 1 (2024): J-Intech : Journal of Information and Technology
Publisher : LPPM STIKI MALANG

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32664/j-intech.v12i1.1266

Abstract

In an agency, visits from other institutions and the general public frequently occur. To record these visits, an officer manages a guest book where visitors log their presence and state their purpose. However, the conventional method of using a guest book is susceptible to damage and leads to the accumulation of physical books. Additionally, summarizing visit data daily, weekly, monthly, or annually becomes challenging. Therefore, there is a need for digital modernization of visitor recording to align with the smart government concept implemented in government agencies. The proposed solution is to design a web-based guest book information system that will facilitate visitor data recording, visit monitoring, and visit summarization according to the needs of the leadership at the Regional Office of Law and Human Rights in Banda Aceh. To achieve optimal results, this study employs the Research and Development (R&D) method combined with the waterfall software development approach. The design process includes creating use case diagrams, conceptualizing database table relations, and utilizing the PHP programming language with the Bootstrap framework to ensure an easy-to-use interface. With this guest book information system, visitors will no longer need to fill out conventional guest books, and the Regional Office of Law and Human Rights in Banda Aceh will not require traditional guest book archiving. All visitor data, visit logs, and visit summaries will be stored in a system accessible to relevant parties as needed.
Co-Authors Arifiyanto Hadinegoro, Arifiyanto Hafizh, Saifan Nazaruddin Ahmad Pratiwi, Icha Widya