Article Per Year (5 Year)
p-Index From 2021 - 2026
2.615
P-Index
This Author published in this journals
All Journal Jurnal Teknologi Informatika dan Komputer Technologica SENTRI: Jurnal Riset Ilmiah Electron: Jurnal Ilmiah Teknik Elektro EPSILON: Journal of Electrical Engineering and Information Technology Journal of Computer-based Instructional Media Akademika
Yandi Anzari
Unknown Affiliation
Aerospace Engineering Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Law, Crime, Criminology & Criminal Justice

Published : 15 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 6 Documents
Search
Journal : Akademika

 1 
PERANCANGAN PROTOTYPE SISTEM INFORMASI PROMOSI ASLAMIYAH FOODS DESA SENGKATI BARU KECAMATAN MERSAM: Design, Prototype, Information System, Promotion, Products -, Mutmainnah; Anzari, Yandi
JURNAL AKADEMIKA Vol 17 No 2 (2025): Jurnal Akademika
Publisher : LP2M Universitas Nurdin Hamzah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53564/akademika.v17i2.1640

Abstract

The rapid development of technology today has opened up opportunities for business people to utilize digital-based information systems in increasing product promotion. Aslamiyah Foods is a business that produces processed oyster mushrooms located in Sengkati Baru Village, Mersam District. Aslamiyah Foods faces obstacles in promoting its superior product, namely Aslamiyah Krenyesss Mushrooms. The promotion carried out so far is only by leaving products to several mini markets, participating in exhibitions held by the Batang Hari district government, as well as through whatsapp and instagram social media, but has not yet obtained optimal results. System modeling in this study uses the Unified Modeling Language (UML) including use case diagrams, activity diagrams, and class diagrams as well as the Prototype method which will be used in the process of designing promotional information systems. The results of this study are in the form of a Promotion Information System Dessign at Aslamiyah Foods, Sengkati Baru Village, Mersam District.
ANALISIS PERBANDINGAN MODEL GRU DAN LSTM UNTUK PREDIKSI HARGA SAHAM BANK RAKYAT INDONESIA: Deep Learning, GRU (Gated Recurrent Unit), LSTM (Long Short-Term Memory), Stock Price Prediction Perdana, Yogi; Raisa Hanum, Nindy; Rabiula, Andre; Anzari, Yandi
JURNAL AKADEMIKA Vol 17 No 2 (2025): Jurnal Akademika
Publisher : LP2M Universitas Nurdin Hamzah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53564/akademika.v17i2.1692

Abstract

This research implements and compares two deep learning architectures, Long Short-Term Memory (LSTM) and Gated Recurrent Unit (GRU), for predicting the stock price of Bank Rakyat Indonesia (BRI) using historical data from February 2023 to October 2024. Through systematic hyperparameter tuning and comprehensive evaluation, the study finds that GRU consistently outperforms LSTM across all regression metrics, with a 10.7% improvement in R² and an 18.5% reduction in MAPE. The optimal GRU configuration (100 units, 100 epochs, batch size 32, learning rate 0.001) achieves an MSE of 6517.5 and MAPE of 1.3764%. Visual analysis confirms GRU's superior ability to capture stock price fluctuations and adapt more quickly to trend changes. The simpler architecture of GRU with fewer parameters proves more effective for handling the high-noise characteristics and varying volatility of stock price data. While both models face challenges in predicting extreme market events, GRU demonstrates better resilience and faster recovery after such occurrences. This research contributes to the understanding of recurrent neural network applications in financial time series forecasting and provides practical insights for developing more accurate stock price prediction systems.
PENGEMBANGAN SISTEM INFORMASI PEMASARAN BUAH PINANG BERBASIS WEB UNTUK PETANI DAN PEDAGANG: Information Systems, MYSQL, Web-Based, Marketing Areca Nut, SDLC Yulvianda, Renaldi; Sutoyo, Mochammad Arief Hermawan; Ismail, Muhammad; Anzari, Yandi
JURNAL AKADEMIKA Vol 18 No 1 (2025): Jurnal Akademika
Publisher : LP2M Universitas Nurdin Hamzah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53564/8gv01h05

Abstract

The Betel nut is a plantation commodity with significant economic potential, particularly as an export product. However, marketing activities among farmers and traders still face obstacles, such as limited access to price information, less than optimal promotions, and a narrow distribution network. This study aims to design and develop a web-based betel nut marketing information system that can support the promotion and transaction process. The system development method used refers to the System Development Life Cycle (SDLC) model, namely the waterfall, starting from user needs analysis, system design, implementation, and testing. This system was created using the PHP programming language with a MySQL database, and is equipped with key features such as product data management, price recording, information publication and communication media between farmers and traders, as well as a payment gateway feature. Testing results using the black box testing approach showed that the system can function according to the design. With this information system, it is expected that betel nut marketing will be more structured, market access will be wider, and farmers and traders will obtain a more competitive selling price.
SISTEM PENDUKUNG KEPUTUSAN PEMILIHAN VENDOR BAHAN BAKU STRATEGIS DENGAN METODE ANALYTICAL HIERARCHY PROSES (AHP) DAN TOPSIS: Decision Support System (DSS), Multi-Criteria Decision Making, (MCDM), Analytical Hierarchy Process  (AHP), Technique for Order Preference by, Similarity to Ideal Solution (TOPSIS) Muhammad Damas Fatih; Pariyadi, Pariyadi; Rachmawati, Aulia; Anzari, Yandi
JURNAL AKADEMIKA Vol 18 No 1 (2025): Jurnal Akademika
Publisher : LP2M Universitas Nurdin Hamzah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53564/g7wc3t46

Abstract

Vendor selection at PT. Manufaktur Digital Jaya is still prone to subjectivity and bias that focuses on price, which risks causing production bottlenecks and quality decline. This decision is a complex Multi-Criteria Decision Making (MCDM) problem and requires an objective and structured assessment. This research aims to design a Decision Support System (DSS) to determine the best vendor at PT. Manufaktur Digital Jaya, using a combination of the Analytical Hierarchy Process  (AHP) and Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) methods. The AHP analysis was validated using Expert Choice software and the TOPSIS calculations were performed with Microsoft Excel. The AHP method is used to determine the priority weights of the assessment criteria, while TOPSIS is used to rank the vendor alternatives based on their closeness to the ideal solution. Five main criteria were established, covering Product Quality (C1), Unit Price (C2), Delivery Accuracy (C3), Service Capacity (C4), and Reputation (C5). The results of the AHP analysis show that Product Quality (C1) and Service Capacity (C4) are the criteria with the highest weights, reflecting the company's strategic priority on quality and long-term support.
ANALISIS KETAHANAN KOMBINASI TEKNIK KRIPTOGRAFI RAIL FENCE DAN VIGENERE CIPHER TERHADAP SERANGAN BRUTE-FORCE MENGGUNAKAN PEMROGRAMAN PYTHON: Algorithms, Kriptografi, Rail Fence cipher, Vigenere cipher, Brute-Force Rachmawati, Aulia; Anzari, Yandi; Fatih, Muhammad Damas; Pariyadi, Pariyadi
JURNAL AKADEMIKA Vol 18 No 1 (2025): Jurnal Akademika
Publisher : LP2M Universitas Nurdin Hamzah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53564/6w0a4245

Abstract

Data is an essential asset that must be protected due to its strategic role in maintaining the continuity of information systems. Therefore, data security becomes a crucial aspect in information management. One of the approaches to ensure data security is through the application of cryptographic techniques. Two commonly used classical cryptographic algorithms are the Rail Fence Cipher and the Vigenere Cipher. However, the use of a single algorithm has weaknesses, as it remains vulnerable to brute-force attacks. This study aims to combine two cryptographic methods, namely the transposition technique (Rail Fence) and the substitution technique (Vigenere), to enhance resistance against brute force attacks. The research employs an experimental method by implementing the combined algorithms using the Python programming language. Testing was conducted on three scenarios: encryption using Rail Fence, Vigenere, and their combination. The results show that the combined algorithm increases key space and produces more complex character distribution patterns, thereby improving security against brute-force attacks.
APLIKASI LAYANAN PELANGGAN BERBASIS WEB DAN MOBILE PADA PERUSAHAAN AIR MINUM: Application, Complaint, Customer Service, Mobile, Water Company Pariyadi, Pariyadi; Damas Fatih, Muhammad; Anzari, Yandi; Rachmawati, Aulia
JURNAL AKADEMIKA Vol 18 No 1 (2025): Jurnal Akademika
Publisher : LP2M Universitas Nurdin Hamzah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53564/0898pj82

Abstract

The quality of public service is a crucial factor for companies such as the Regional Water Company. The main challenges often faced are the slow handling of customer complaints, difficulty in accessing billing information, and the bureaucratic process of new connection registration. This research aims to design and build an integrated web and mobile-based customer service information system. The research method used is the Waterfall model, which includes the stages of requirements analysis, system design, implementation, and testing. The result of this research is the customer service application, which consists of three platforms: (1) A back office web for administrators, supervisors, and superadmins to manage master data, monitor, and delegate complaints and reports; (2) An Android Mobile Application for Customers, featuring online complaints, complaint tracking, new connection registration, bill checking, self-service meter reading, and news information; (3) An Android Mobile Application for Field Officers, which functions to receive and update the status of complaint work orders. The implementation of this system has successfully transformed manual business processes into digital ones, thereby increasing response speed, data transparency, and customer satisfaction one of them is PERUMDA Air Minum Tirta Mayang.      
Co-Authors Ahadi, Ahmad Husna Ahmad Husna Ahadi Aktan, Rizky Nurman Alghifari, Hamzah Aminuddin, Fattachul Huda Amsana Rachmani, Almeera Cecilia, Cecilia Damas Fatih, Muhammad Djauhari, Teuku Fardhan Arkan Fatih, Muhammad Damas Fitra Novriadi Gali Triyani Gustina Gustina Gustina Habib Satria Hanalde Andre Jumnahdi, Muhammad M. Yonggi Puriza Muhammad Damas Fatih Muhammad Farhan Syawal Muhammad Ismail Mutmainnah - Mutmainnah Mutmainnah Noni Rahmawati Novriadi, Fitra Pariyadi Perdana, Yogi Puriza, M Yonggi Putra, Ghiri Basuki Rabiula, Andre Rachmawati, Aulia Rahmawati, Noni Raisa Hanum, Nindy Renaldi Yulvianda Ridwan Ridwan Rizky Nurman Aktan Siti Alfiah, Puput Sutoyo, Mochammad Arief Hermawan Welly Yandi Wibowo, Sugeng Yandi, Welly