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All Journal Jatilima : Jurnal Multimedia Dan Teknologi Informasi Jurnal Minfo Polgan (JMP) Jurnal Pengabdian Masyarakat Bidang Sains dan Teknologi Jejak digital: Jurnal Ilmiah Multidisiplin Aksi Kita: Jurnal Pengabdian Kepada Masyarakat
Ade Sarah Huzaifah
Universitas Sumatera Utara
Aerospace Engineering Agriculture, Biological Sciences & Forestry Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Dentistry Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Library & Information Science Mathematics Mechanical Engineering Medicine & Pharmacology Nursing Public Health Social Sciences Transportation Veterinary Other

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Expert System for Diagnosing Diseases in Cats Using the Forward Chaining Method Edward Robinson Siagian; Ibrahim; Ade Sarah Huzaifah
Jurnal Multimedia dan Teknologi Informasi (Jatilima) Vol. 5 No. 01 (2023): Jatilima : Jurnal Multimedia Dan Teknologi Informasi
Publisher : Cattleya Darmaya Fortuna

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54209/jatilima.v5i01.387

Abstract

An expert system for diseases in cats is an application that aims to helps in diagnosing disease in cats based on its symptoms and signs observed. The forward chaining method is used in this system to collect information from users, apply existing rules, and reach a final diagnosis. In this method, the expert system will start with the information provided by the user or results of observations, and use existing rules to reach conclusions or final diagnosis. The main steps in the forward chaining method include collection information, activating rules, evaluating conditions, and iterating until a final diagnosis is reached.While these methods can provide initial advice in diagnosing feline diseases, it is important to remember that expert systems are no substitute for a comprehensive medical assessment by a qualified veterinarian.
Analisa Perangkat Jaringan Komputer Kampus R.A. Fattah Adriansyah; Ade Sarah Huzaifah; Annisa Fadhillah Pulungan
Jurnal Minfo Polgan Vol. 12 No. 2 (2023): Artikel Penelitian 2023
Publisher : Politeknik Ganesha Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33395/jmp.v12i2.13267

Abstract

Jaringan komputer memainkan peran penting di seluruh dunia. Dimana standar protokol jaringan komputer terdiri dari tujuh lapisan yang digunakan sebagai arsitektur komunikasi, yang masing-masing berperan dalam komunikasi jaringan komputer. Switch adalah perangkat layer 2 dalam jaringan komputer yang menghubungkan device di broadcast domain yang sama, namun untuk device di broadcast domain yang berbeda tidak dapat berkomunikasi satu sama lain tanpa menggunakan perangkat layer 3 seperti router. Router merutekan paket dari pengirim ke penerima menggunakan alamat IP yang diarahkan sesuai dengan tabel routing yang ada. Sedangkan si tabel routing ditentukan oleh protokol routing yang digunakan. Ada beberapa protokol routing yang tersedia, dimana masing-masing memiliki kelebihan dan kekurangannya. Dan untuk mendukung kebutuhan yang unik setiap organisasi, maka organisasi tersebut perlu desain jaringan yang unik pula. Begitu pula dengan protokol routing yang digunakan juga harus disesuaikan. Pada penelitian ini dilakukan percobaan untuk mengatasi broadcast yang biasa terjadi pada jaringan kampus dan mengurangi kemungkinan terjadinya broadcast storm dengan cara memisahkan broadcast domain menggunakan router. Eksperimen ini juga membandingkan protokol routing RIP dan OSPF yang diterapkan di jaringan tersebut untuk mencari tahu protokol routing mana yang cocok untuk topologi jaringan kampus yang umum digunakan. Hasil percobaan menunjukkan bahwa jaringan komputer kampus dengan menggunakan router dapat mengidentifikasi dan memantau masalah yang terjadi, membagi broadcast collision, dan juga melakukan pemilihan rute/jalur. Hal ini memudahkan dalam mengatasi masalah dan memaksimalkan kinerja jaringan komputer kampus. Jaringan komputer kampus yang menggunakan router dan mengkonfigurasi protokol routing OSPF memberikan kinerja yang lebih baik dibandingkan dengan protokol routing RIP yang dikonfigurasi.
Evaluasi Komparatif Lintas Platform Analisis Sentimen Berbasis Aspek dengan LDA dan Algoritma Klasifikasi Ade Sarah Huzaifah; R.A. Fattah Adriansyah
Jejak digital: Jurnal Ilmiah Multidisiplin Vol. 2 No. 4 (2026): JUNI-JULI
Publisher : INDO PUBLISHING

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63822/hb46z150

Abstract

Aspect-based sentiment analysis is becoming increasingly important for understanding user opinions across various digital platforms; however, differences in text characteristics such as length, formality, and writing style often affect algorithm performance. This study aims to evaluate the effectiveness of a hybrid model that integrates Latent Dirichlet Allocation (LDA) with three classification algorithms Multinomial Naïve Bayes, XGBoost, and AdaBoost across three different platforms: Twitter, Google Play, and Female Daily. The evaluation was conducted using the Precision, Recall, F1-Score, and Accuracy metrics, with F1-Score serving as the primary indicator due to the imbalanced data distribution across aspects. The results show that Multinomial Naïve Bayes is more suitable for short and emotional texts on Twitter, XGBoost excels at technical reviews on Google Play, while AdaBoost is quite adaptive to narrative reviews on Female Daily. Key findings confirm that XGBoost is the most stable algorithm with the highest average F1-Score, while Multinomial Naïve Bayes remains competitive for informal text. This study contributes to the development of aspect-based sentiment analysis methodologies by providing practical guidelines for algorithm selection based on platform characteristics, and opens avenues for further research through dataset expansion, microtext normalization, and the application of deep learning to improve generalization
Enhancing Understanding of AI-Based Digital Business Through Interactive Seminars for Information Technology Students Ade Sarah Huzaifah; Rossy Nurhasanah; Fanindia Purnamasari; Dedy Arisandi; Ivan Jaya
Aksi Kita: Jurnal Pengabdian kepada Masyarakat Vol. 1 No. 4 (2025): JULI-AGUSTUS
Publisher : Indo Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63822/vk045k91

Abstract

The development of artificial intelligence (AI) technology has become a major driver in the transformation of the digital business world, including in the startup sector. However, a deep understanding of AI integration into business models remains a challenge for students, particularly in the field of Information Technology (IT). This community service activity aims to enhance the knowledge and skills of IT students in designing strategic, ethical, and sustainable AI-based digital businesses. The implementation method involves a one-day educational seminar, including presentations, interactive discussions, simulations of Business Model Canvas (BMC) development, and evaluation through questionnaires. Evaluation results showed significant improvements: understanding of the BMC increased from 41% to 89%, understanding of AI startup concepts from 54% to 92%, ability to draft a business plan from 16% to 78%, and motivation for technology entrepreneurship from 68% to 90%. These findings indicate that an applied and participatory approach in seminars is effective in developing digital entrepreneurship capacity among IT students.
Digitalisasi Operasional UMKM Indekos: Implementasi Aplikasi Manajemen Penghuni, Pembayaran, dan Keluhan di Kota Medan Ali Akbar Lubis; Frans Mikael Sinaga; Riche Riche; Ade Sarah Huzaifah; Jefri Junifer Pangaribuan
ABDIKAN: Jurnal Pengabdian Masyarakat Bidang Sains dan Teknologi Vol. 4 No. 4 (2025): November 2025
Publisher : Yayasan Literasi Sains Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55123/abdikan.v4i4.6655

Abstract

MSME 'Indekos' (boarding houses) in Medan City are generally still managed manually, causing partners to face fundamental problems in service and administration. The billing process, reliant on face-to-face meetings, makes tracking payments difficult, while tenants are often late paying due to a lack of reminders. Furthermore, the absence of a documented complaint channel means owners often forget to follow up on issues. This community service (PKM) activity aimed to overcome these problems through operational digitalization. The priority problems addressed were (1) the digitalization of billing and payments to provide real-time arrears information, and (2) the provision of a documented complaint channel with status tracking. The PKM method involved Training and Mentoring for 3 'indekos' owners in Medan City. The science-and-technology (ipteks) solution, a web-based management application, was developed using the adaptive Extreme Programming (XP) methodology, allowing iterative improvements based on partner feedback. Implementation included business process mapping (Planning), application installation (Small Releases), and guided testing (Testing/Feedback). The result of this activity is a ready-to-use application (PHP/MySQL) delivered to partners, along with operational SOPs and training modules. The implementation successfully improved the owners' administrative efficiency and service transparency for tenants.
Co-Authors Ali Akbar Lubis Annisa Fadhillah Pulungan Dedy Arisandi Edward Robinson Siagian Fanindia Purnamasari Frans Mikael Sinaga Ibrahim Ivan Jaya Jefri Junifer Pangaribuan R.A. Fattah Adriansyah Riche Riche Rossy Nurhasanah