Article Per Year (5 Year)
p-Index From 2020 - 2025
0.61
P-Index
This Author published in this journals
All Journal JURNAL INSTEK (Informatika Sains dan Teknologi) Ceddi Journal of Information System and Technology (JST) Neptunus: Jurnal Ilmu Komputer dan Teknologi Informasi
Andi Yulia Muniar
Unknown Affiliation
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Electrical & Electronics Engineering Engineering

Published : 3 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 3 Documents
Search

 1 
Digital Forensic Evidence Analysis In Revealing Defamation On Social Media (Twitter) Using The Static Forensics Method Reski Badillah; Andi Yulia Muniar; Abd. Rahman; Febri Hidayat Saputra; Mansyur; Supriadi Sahibu
Ceddi Journal of Information System and Technology (JST) Vol. 2 No. 2 (2023): December
Publisher : Yayasan Cendekiawan Digital Indonesia (CEDDI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56134/jst.v2i2.45

Abstract

This research addresses the persistent challenge of defamation, notably prevalent on the Twitter platform, where the discovery of digital evidence is hampered by robust privacy protections. The study aims to investigate and identify digital evidence in defamation cases on Twitter, focusing on optimizing the evidence discovery process. Employing static forensics to prevent data alterations during acquisition from devices associated with defamation, the research successfully uncovered various digital evidence, including text from deleted comments, usernames, emails, and deleted image files linked to defamation. Out of the initial 28 reported data instances, 22 pieces of evidence were identified, resulting in an impressive 79% accuracy rate. The investigative procedures align with the chain of custody, ensuring the reliability of the collected evidence. This study not only contributes valuable insights into digital evidence discovery in online defamation cases but also highlights the efficacy of static forensics as a method. These findings provide a foundation for robust digital forensic practices, crucial for addressing challenges posed by online defamation on social media platforms.
SISTEM INFORMASI GEOGRAFIS PENCARIAN TOKO KERAJINAN TANGAN MENGGUNAKAN ALGORITMA A STAR (A*) NURZAENAB, NURZAENAB; ANDI YULIA MUNIAR; AHSANI TAQWIM
Jurnal INSTEK (Informatika Sains dan Teknologi) Vol 8 No 1 (2023): APRIL
Publisher : Department of Informatics Engineering, Faculty of Science and Technology, Universitas Islam Negeri Alauddin, Makassar, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24252/instek.v8i1.37126

Abstract

Wisatawan yang masuk ke kota makassar tiap tahunnya membuat penduduk mendirikan usaha kerajinan tangan. Namun terkadang wisatawan masih bingung dan belum terbiasa dengan tempat yang mereka kunjungi. Sehingga mereka membutuhkan sebuah Aplikasi (Geografis Information System) GIS untuk membantu wisatawan mencari tempat kerajinan tangan dengan jarak terdekat dari posisi mereka \menggunakan algortima A*. Tujuan dari penelitian ini ialah untuk membantu wisatawan asing mencari tempat kerajinan tangan dengan jarak terdekat dari posisi mereka. Metode yang digunakan yaitu algoritma A* (A Star) untuk menentukan rute terdekat. Hasil penelitian ini menunjukkan bahwa penelitian ini melakukan pengujian kuisioner pada aplikasi pencarian toko kerajinan tangan menggunakan algoritma A-Star kepada beberapa pihak, maka aplikasi ini layak digunakan karena kesimpulan hasil kuisioner oleh 22 responden dengan pertanyaan sebanyak 6 pertanyan menunjukkan nilai rata-rata 89,23% yang berarti aplikasi sangat layak digunakan.
Sistem Pendukung Keputusan Penilaian Kinerja Karyawan Menggunakan Fuzzy Logic Tsukamoto Haryatno Saputra; Andi Yulia Muniar; Mashud Mashud
Neptunus: Jurnal Ilmu Komputer Dan Teknologi Informasi Vol. 3 No. 3 (2025): Agustus : Neptunus : 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.v3i3.1028

Abstract

Employee performance appraisal is an important process in human resource management that aims to evaluate individual work achievements based on certain criteria set by the organization. This process not only serves to assess the extent to which an employee meets work standards, but also serves as a basis for strategic decision-making, such as job promotions, bonus awards, and career development planning. However, in practice, CV. Surya Perkasa Makassar faces serious obstacles in the form of subjectivity in the assessment process, because the benchmarks used still tend to be based on the likes or dislikes of superiors. This causes the evaluation results to be less objective, inconsistent, and potentially reduce employee work motivation. To overcome these problems, this study aims to develop a decision support system for employee performance appraisal using the Tsukamoto Fuzzy Logic method. This method was chosen because it is able to accommodate uncertainty in the assessment, resulting in more objective, measurable, and consistent decisions. This study uses a Research and Development (R&D) approach with a Black Box Testing method to ensure system functionality. The assessment criteria used include five main aspects, namely work quality, work quantity, discipline, responsibility, and cooperation. Data from these criteria is processed through fuzzification, inference, and defuzzification stages to obtain the final employee performance score. Test results indicate that all system features function as expected. The system is able to prevent data duplication, validate input, and produce accurate final performance scores. The implementation of the Tsukamoto Fuzzy Logic method has proven effective in reducing the level of subjectivity that typically occurs in manual assessments. Therefore, this system can be used as a reliable tool in managerial decision-making, both regarding promotions, bonus awards, and planning employee future career development.  
Co-Authors Abd. Rahman AHSANI TAQWIM Febri Hidayat Saputra Haryatno Saputra Mansyur Mashud Mashud NURZAENAB, NURZAENAB Reski Badillah Supriadi Sahibu