Article Per Year (5 Year)
p-Index From 2021 - 2026
2.583
P-Index
This Author published in this journals
All Journal Sinkron : Jurnal dan Penelitian Teknik Informatika IJISTECH (International Journal Of Information System & Technology) Journal of Computer Networks, Architecture and High Performance Computing IJISTECH Jurnal Ilmu Komputer dan Sistem Komputer Terapan (JIKSTRA) EXPLORER Prosiding Snastikom Digital Transformation Technology (Digitech) Jurnal Pengabdian Masyarakat Bangsa Jurnal Ilmu Komputer dan Sistem Informasi Journal of Technology and Computer (JOTECHCOM) CompTech : Jurnal Ilmu Komputer dan Teknologi
Khairani, Mufida
Unknown Affiliation
Agriculture, Biological Sciences & Forestry Arts Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Health Professions Industrial & Manufacturing Engineering Law, Crime, Criminology & Criminal Justice Library & Information Science Mathematics Medicine & Pharmacology Nursing Physics Public Health Social Sciences

Published : 17 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 17 Documents
Search

 1   2 
Analisis Perbandingan Kapasitas Penyisipan Data dan Kualitas Citra Dalam Teknik Steganografi LSB dan MSB Menggunakan Peak to Signal to Noise Ratio dan Mean Squared Error Fauzi, Ilham; Khairani, Mufida
Jurnal Ilmu Komputer dan Sistem Informasi Vol. 4 No. 3 (2025): September 2025
Publisher : LKP Unity Academy

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70340/jirsi.v4i3.236

Abstract

This study discusses a comparison between the Least Significant Bit (LSB) and Most Significant Bit (MSB) methods in digital image steganography based on image quality parameters using the Mean Squared Error (MSE) value. The LSB method embeds secret information in the least significant bits of each pixel, while the MSB method embeds information in the most significant bits. The test results show that the LSB method produces very low MSE values, ranging from 0.1 to 2, thereby maintaining image quality with changes that are visually imperceptible. In contrast, the MSB method produces high MSE values, reaching 40 and above, indicating significant pixel intensity changes and a considerable decline in image quality. Based on these results, it can be concluded that the LSB method is more effective and secure for hiding data in digital images, as it preserves visual quality and is difficult to detect. Meanwhile, the MSB method is less recommended due to its susceptibility to detection and noticeable degradation of image quality.
Implementasi Metode Multimedia Development Life Cycle (MDLC) Dalam Perancangan Aplikasi Augmented Reality Yang Memperkenalkan Budaya Suku Alas di Aceh Akbar , Rizki Aidil; Khairani, Mufida
Jurnal Ilmu Komputer dan Sistem Informasi Vol. 4 No. 3 (2025): September 2025
Publisher : LKP Unity Academy

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70340/jirsi.v4i3.248

Abstract

The rapid development of information technology has significantly transformed the way information is delivered, including efforts to preserve local culture. This research focuses on the implementation of the Multimedia Development Life Cycle (MDLC) method in designing an Augmented Reality (AR) application aimed at introducing the cultural heritage of the Alas Tribe in Southeast Aceh. The Alas Tribe culture, which is rich in traditional values such as traditional houses, clothing, dances, and local wisdom, is increasingly threatened by modernization and the lack of interactive media that can attract the younger generation. Therefore, an innovative digital solution is needed to present cultural information in an interactive, engaging, and accessible way. The MDLC method was chosen because it provides a systematic framework consisting of concept, design, material collecting, assembly, testing, and distribution. Each stage was applied in a structured manner to ensure that the development process runs effectively and efficiently. The AR application enables users to interact with 3D objects representing elements of the Alas Tribe culture through Android devices, offering an immersive learning experience. User testing was conducted using questionnaires, and the results showed that most respondents found the application engaging, easy to understand, and useful for learning about local culture. The findings demonstrate that implementing the MDLC method successfully produces an effective AR application as a medium for cultural education and promotion. Beyond functioning as an educational tool, the application also contributes to cultural preservation and supports the development of the tourism sector in Southeast Aceh. For future development, it is recommended to expand the application by adding more cultural objects, integrating interactive quizzes, and enabling cross-platform compatibility to reach a wider audience. Keywords: Augmented Reality, Multimedia Development Life Cycle, MDLC, Alas Tribe Culture, Learning Media, Cultural Preservation.
Implementation Of The Data Mining Cart Algorithm In The Characteristic Pattern Of New Student Admissions Siregar, Ahmad Syahban Rifandy; Siregar, Yunita Sari; Khairani, Mufida
Journal of Computer Networks, Architecture and High Performance Computing Vol. 5 No. 1 (2023): Article Research Volume 5 Issue 1, January 2023
Publisher : Information Technology and Science (ITScience)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/cnahpc.v5i1.1975

Abstract

University of Harapan Medan is one of the private universities in North Sumatra which has an Informatics Engineering Study Program with Good Accreditation. With better accreditation, the number of students who register is also increasing. At the admission of new students, the committee has a huge pile of data, making it difficult in the process of whether the student passed or did not pass. Therefore, in this study, we will implement data mining with the CART (Classification And Regression Tree) algorithm. Data mining is a technique to determine the characteristic pattern of a variable or data criteria with a large amount. In the CART method, the data is first converted into testing data, which will then be used to form a classification tree by calculating the value of information gain, Gini index and goodness of split. From the results obtained, it will be re-determined terminal nodes, marking class labels and finally pruning the classification tree which produces a decision tree. In this study, the number of testing data was 75 with 3 criteria, namely the average value of report cards, CAT test scores, and interview scores. The results of testing data testing using RapisMiner 5.3 software produce 23 number of characteristic pattern rules, where node 1 is the CAT test score, level 1 branch node is the interview score criteria and level 2 branch node is the average report card value.
Implementasi Data Mining Klasifikasi Algoritma Chaid Dalam Menentukan Pola Penerima Mahasiswa Baru Sari Siregar, Yunita; Handoko, Divi; Khairani, Mufida; Syahputri, Nenna Irsa; Harahap, Herlina
Digital Transformation Technology Vol. 3 No. 2 (2023): Artikel Periode September 2023
Publisher : Information Technology and Science(ITScience)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/digitech.v3i2.3612

Abstract

Universitas Harapan Medan adalah salah satu Perguruan Tinggi di Sumatera Utara yang memiliki beberapa fakultas, salah satu diantaranya yaitu Fakultas Teknik dan Komputer. Dimana pada fakultas tersebut terdapat 7 program studi yaitu Teknik Elektro, Teknik Sipil, Teknik Mesin, Teknik Informatika Teknik Industri, Sistem Informasi dan Manajemen Informatika. Program studi Teknik Infrmatika merupakan program studi dengan akreditasi B dengan jumlah mahasiswa aktif sampai tahun 2022 yaitu 1.366 orang. Berdasarkan data tersebut dapat dilihat bahwa program studi informatika memiliki jumlah peminat yang sangat banyak bagi mahasiswa. Dalam proses penerimaan mahasiswa baru seringkali membuat susunan berkas yang sangat banyak, sehingga menyulitkan pihak akademik dalam mengelola dan menentukan mahasiswa yang dapat masuk dalam program studi teknik informatika. Oleh sebab itu, diperlukan suatu pola yang dapat menentukan mahasiswa yang lulus dan tidak lulus menggunakan metode klasisfikasi data mining CHAID (Chi Squared Automatic Interaction Detection). Tujuan dalam penelitian ini adalah Merancang model pola karakteristik berdasarkan kriteria dalam seleksi penerimaan mahasiswa baru pada program studi teknik informatikaMenganalisis metode data mining decision tree dengan algoritma CHAID (Chi Squared Automatic Interaction Detection) dalam menentukan siapa yang lulus berdasarkan kriteria-kriteria yang telah ditentukan. Hasil pohon keputusan dalam perancangan pola karakteristik penerimanan calon mahasiswa baru terdapat 43 rule dimana , faktor tertinggi dari ke- 3 faktor yang mempengaruhi pada 75 data testing adalah kriteria Nilai Rapor. Faktor kedua yang juga mempengaruhi hasil keputusan adalah kriteria Ujian CAT (Computer Assisted Test). Dan faktor Nilai Wawancara terakhir yang juga mempengaruhi hasil keputusan adalah kriteria.
PENGEMBANGAN SISTEM PENILAIAN KELAYAKAN MAHASISWA BARU TEKNIK INFORMATIKA MENGGUNAKAN MULTI ATTRIBUTE UTILITY THEORY (MAUT) Ruditya, Raka; Siregar, Yunita Sari; Khairani, Mufida
CompTech : Jurnal Ilmu Komputer dan Teknologi Vol 2, No 1 (2025): September
Publisher : Compart Digital

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63854/comptech.v2i1.77

Abstract

Penerimaan mahasiswa baru merupakan proses penting dalam menentukan kualitas sumber daya manusia di perguruan tinggi. Program Studi Teknik Informatika Universitas Harapan Medan menghadapi tantangan dalam menilai dan menyeleksi calon mahasiswa secara manual, terutama dengan meningkatnya jumlah pendaftar setiap tahun. Penelitian ini bertujuan untuk merancang dan mengimplementasikan sistem pendukung keputusan berbasis web menggunakan metode Multi Attribute Utility Theory (MAUT) guna mempermudah proses seleksi. MAUT digunakan untuk mengkonversi berbagai kriteria penilaian ke dalam skala numerik 0–1, memungkinkan perbandingan langsung antar alternatif. Sistem ini mempertimbangkan variabel seperti asal sekolah, jurusan, nilai ujian nasional, serta hasil ujian pendaftaran akademik, kemampuan dasar, dan komputer. Pengembangan sistem dilakukan dengan pendekatan metode waterfall dan menggunakan bahasa pemrograman PHP serta database MySQL. Hasil implementasi menunjukkan bahwa sistem mampu memberikan rekomendasi yang akurat dan efisien dalam menentukan kelayakan calon mahasiswa berdasarkan kriteria yang telah ditentukan. Sistem ini diharapkan dapat menjadi solusi praktis dan dapat dikembangkan lebih lanjut untuk kebutuhan seleksi lainnya.
MOORA and SAW Methods for Selecting Optimal Oil Palm Fertiliser Sinambela, Surya Pranata Rejeki; Khairani, Mufida
Journal of Technology and Computer Vol. 2 No. 4 (2025): November 2025 - Journal of Technology and Computer
Publisher : PT. Technology Laboratories Indonesia (TechnoLabs)

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

Abstract

Oil palm (Elaeis guineensis) is an important commodity for Indonesia’s economy; therefore, fertilizer selection during the nursery stage plays a crucial role in determining the quality and productivity of the plants. This study aims to develop a web-based Decision Support System (DSS) by applying the Multi-Objective Optimization on the Basis of Ratio Analysis (MOORA) and Simple Additive Weighting (SAW) methods to determine the best fertilizer for the optimal growth of oil palm seedlings. The evaluation was conducted on ten fertilizer alternatives using five criteria, namely price, availability, ease of application, growth effectiveness, and solubility. The results of the study show that Urea Pupuk Kujang ranked first in both methods, with a MOORA score of 0.2084 and a SAW score of 0.8333. These findings indicate that the application of MOORA and SAW can support more objective, efficient, and reliable decision-making in selecting the best fertilizer for oil palm seedlings.
Pengamanan Data Inventaris Menggunakan Algoritma Kriptografi Tripple DES dan RC4 Hutauruk, Simon Ricardo Valentino; Khairani, Mufida
Explorer Vol 5 No 2 (2025): July 2025
Publisher : Forum Kerjasama Pendidikan Tinggi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/explorer.v5i2.2178

Abstract

Data security is an essential aspect of information management, particularly inventory data, which includes assets, supplies, and logistics. If this data is misused, it can lead to financial and operational losses. This research develops an inventory data security system that utilizes the Triple Data Encryption Standard (Triple DES) and Rivest Cipher 4 (RC4) cryptographic algorithms. The system is capable of protecting the item name and price columns in the inventory, as well as providing a decryption feature for encrypted data. Additionally, the security of the application is strengthened through user authentication. Combining these two cryptographic algorithms offers an optimal security solution, considering system performance and speed without disrupting daily operations.
Co-Authors Akbar , Rizki Aidil Andi Marwan Elhanafi, Andi Marwan Ardhana, Fahri Chiuloto, Kalvin Dharmawati, D Dodi Siregar Edy Rahman Syahputra, Edy Rahman Ferdy Riza Handoko, Divi Harahap, Herlina Hutauruk, Simon Ricardo Valentino ILHAM FAUZI Imran Lubis IRWAN, DEDY Khairunnisa Khairunnisa Lubis, Husni lubis, ihsan Lubis, Yessy Fitri Annisa Manurung, Johanes Rico Alexander Rahmayani, Sabrika Ruditya, Raka Sinambela, Surya Pranata Rejeki Siregar, Ahmad Syahban Rifandy Siregar, Rosyidah Siregar, Yunita Sari Syahputri, Nenna Irsa Tommy, Tommy Ummul Khair