https://journal.diginus.id/PISCES/issue/feed 2024-12-10T06:05:10+00:00 Muhammad Fajar B fajarb@diginus.id Open Journal Systems <p class="show-on-mobile" style="text-align: center;"><img src="https://journal.diginus.id/public/site/images/pisces/logo-pisces-wide.png" alt="" width="1680" height="386" /></p> <p style="text-align: justify;">Articles submitted in PISCES Scientific Journal will be examined by the editorial board. If the article matches the scope and style of writing an PISCES Scientific Journal, the editorial board will assign the article to the reviewer. Reviewer's name cannot be seen by the author. The author only sees the review results from the reviewer, so the author must revise the reviewer request. Each article will be reviewed by two reviewers. If one of the reviewers refuses, the decision will be submitted to the editor. If all reviewers receive the article will be published. Articles that do not make revisions will not be published in the PISCES Scientific Journal.</p> https://journal.diginus.id/PISCES/article/view/494 2024-09-05T07:13:18+00:00 Zefanya Deianera Anabelle fanyanabelle@gmail.com Mustari Lamada mustarilamada@unm.ac.id Satria Gunawan Zain satria.gunawan.zain@unm.ac.id

<p style="font-weight: 400;">Email forensic investigation is one of the important areas in digital forensics that aims to uncover digital evidence through email analysis. This study discusses various approaches and tools used in email forensic investigations, with a focus on identifying and tracking suspicious activity, metadata analysis, and conversation reconstruction. The methods applied include header analysis, email authentication checks, and the use of anomaly detection algorithms. The tools used in the study included open-source and commercial software designed specifically for digital forensics, such as EnCase, FTK, and Mail Xaminer. The case studies presented demonstrate the effectiveness of these various approaches and tools in detecting cybercrimes such as phishing, fraud, and the spread of malware via email . The results of this study provide practical guidance for forensic investigators in choosing the right approach and tools according to the characteristics of the case being handled, and emphasize the importance of an in-depth understanding of the structure and mechanism of email s to obtain accurate and accountable results in court.</p>

2024-09-30T00:00:00+00:00 Copyright (c) 2024 Zefanya Deianera Anabelle, Mustari Lamada, Satria Gunawan Zain https://journal.diginus.id/PISCES/article/view/469 2024-07-29T14:26:52+00:00 Abdul Wahid wahid@unm.ac.id Mustari Lamada mustarilamada@unm.ac.id Titing Titing titingtiting27@gmail.com

<p>This study will use fuzzy logic algorithm with mamdani model for new student selection using several criteria. Based on the survey that has been conducted on schools that conduct student selection, several criteria were obtained, including diploma grades, report card grades, and distance from home. The design of this decision support system aims to increase efficiency and objectivity in the process of admitting new students at Madrasah Aliyah (MA) Darussalam Manuju, Gowa Regency. The system built using the Fuzzy Logic algorithm allows the integration of various assessment parameters such as report card grades and diploma grades.The overall system testing results were carried out using several methods, namely the black box test method which obtained overall functional suitability.</p> <p><strong>Keywords: </strong>Fuzzy Logic<strong>, </strong>New Student Admissions<strong>, </strong>Decision Support Systems</p> <p> </p>

2024-09-30T00:00:00+00:00 Copyright (c) 2024 Abdul Wahid, Mustari Lamada, Titing Titing https://journal.diginus.id/PISCES/article/view/545 2024-12-10T06:05:10+00:00 Marwan Ramdhany Edy marwanre@unm.ac.id Nur Fakhrunnisaa nurfakhrunnisaa@iainpalopo.ac.id Sinar Arsyila arsylasinar01@gmail.com Nur Aulia Amanda nrauliamnd13@gmail.com

<p>AntriGo adalah sebuah aplikasi inovatif yang dirancang untuk memaksimalkan pengalaman antrian dengan memberikan efisiensi dan kenyamanan kepada pengguna. Dalam abstrak ini, kami menjelaskan bagaimana AntriGo memberikan solusi yang efektif dalam mengatasi tantangan antrian yang sering kali membuang waktu dan menyebabkan ketidaknyamanan. Aplikasi ini menawarkan berbagai fitur yang memungkinkan pengguna untuk mengatur jadwal antrian secara online, menghindari kerumunan, dan menerima notifikasi real-time tentang status antrian mereka. Selain itu, AntriGo juga memberikan informasi tentang estimasi waktu tunggu, memungkinkan pengguna untuk menentukan preferensi mereka, dan memberikan rekomendasi rute tercepat. Dengan menggunakan AntriGo, pengguna dapat menghemat waktu dan energi dengan mengurangi waktu yang dihabiskan dalam antrian, sambil meningkatkan kenyamanan dan kepuasan mereka. Dengan demikian, AntriGo berperan sebagai solusi terdepan dalam memperbaiki pengalaman antrian, mengoptimalkan efisiensi, dan memberikan kemudahan kepada pengguna dalam menghadapi situasi antrian yang kompleks.</p>

2024-09-30T00:00:00+00:00 Copyright (c) 2024 Marwan Ramdhany Edy, Nur Fakhrunnisaa, Sinar Arsyila, Nur Aulia Amanda