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All Journal PIKSEL : Penelitian Ilmu Komputer Sistem Embedded and Logic JURNAL AGRILAND Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control Jusikom : Jurnal Sistem Komputer Musirawas Jurnal Kridatama Sains dan Teknologi JOURNAL OF INFORMATION SYSTEM RESEARCH (JOSH) Jurnal Mahasiswa Sistem Informasi (JMSI) Journal of Informatics and Communication Technology (JICT) Indonesian Journal of Multidisciplinary on Social and Technology Akademika
Perdana, Yogi
Unknown Affiliation
Agriculture, Biological Sciences & Forestry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Mathematics Social Sciences

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Peningkatan ketersediaan N tanah inceptisol dan pengaruhnya terhadap tanaman jagung manis (Zea mays saccharata Sturt) melalui pemberian bokashi jerami padi dan pupuk NPK Perdana, Yogi; Siregar, Chairani; Rambe, Rahmi Dwi Handayani; Mindalisma, Mindalisma
AGRILAND Jurnal Ilmu Pertanian Vol 12, No 1 (2024): AGRILAND: Jurnal Ilmu Pertanian
Publisher : Universitas Islam sumatera Utara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30743/agr.v12i1.9657

Abstract

Tanaman jagung manis merupakan salah satu tanaman yang respontif terhadap pemupukan. Oleh karena itu, ketersediaan nitrogen yang cukup selama fase pertumbuhannya perlu diperhatikan. Penelitian ini dilaksanakan di Lahan Percobaan Fakultas Pertanian Universitas Islam Sumatera Utara, Jln. Karya Wisata, Gedung Johor Kecamatan Medan Johor Kota Madya Medan, Provinsi Sumatera Utara pada Oktober 2021 sampai Desember 2021. Peneltian ini bertujuan untuk mengetahui pengaruh bokasi jerami padi dan puuk NPK terhadap tanaman jagung manis. Penelitian ini menggunakan Rancangan Acak Kelompok (RAK) Faktorial dengan dua faktor perlakuan yaitu bokhasi jerami padi dan pupuk NPK. Faktor pertama pemberian bokhasi jerami padi yaitu : B0 (kontrol); B1(1,5 kg/plot); B2 (3 kg/plot); B3 (4,5 kg/ plot). Faktor kedua pemberian pupuk NPK yaitu N0 (Kontrol); N1 (15 g/plot; N2 (30 g/ plot); N3 (45 g/ plot). Parameter yang diamati yaitu tinggi tanaman, diameter batang, bobot buah pertanaman, bobot buah perplot, bobot tongkol perplot, dan N-Tanah. Hasil penelitian menunjukkan bahwa pemberian bokashi jerami padi dan pupuk NPK mampu meningkatkan pertumbuhan,  produksi tanaman jagung manis dan ketersediaan N tanah. Interaksi perlakuan terbaik yang menghasilkan pertumbuhan, produksi tanaman jagung manis serta ketersediaan N tanah tertinggi adalah pada perlakuan B3N3 (4.5 kg bokashi/plot dan 45 g pupuk NPK/plot).
Peningkatan ketersediaan N tanah inceptisol dan pengaruhnya terhadap tanaman jagung manis (Zea mays saccharata Sturt) melalui pemberian bokashi jerami padi dan pupuk NPK Perdana, Yogi; Siregar, Chairani; Rambe, Rahmi Dwi Handayani; Mindalisma, Mindalisma
AGRILAND Jurnal Ilmu Pertanian Vol 12, No 1 (2024): AGRILAND: Jurnal Ilmu Pertanian
Publisher : Universitas Islam sumatera Utara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30743/agr.v12i1.9657

Abstract

Tanaman jagung manis merupakan salah satu tanaman yang respontif terhadap pemupukan. Oleh karena itu, ketersediaan nitrogen yang cukup selama fase pertumbuhannya perlu diperhatikan. Penelitian ini dilaksanakan di Lahan Percobaan Fakultas Pertanian Universitas Islam Sumatera Utara, Jln. Karya Wisata, Gedung Johor Kecamatan Medan Johor Kota Madya Medan, Provinsi Sumatera Utara pada Oktober 2021 sampai Desember 2021. Peneltian ini bertujuan untuk mengetahui pengaruh bokasi jerami padi dan puuk NPK terhadap tanaman jagung manis. Penelitian ini menggunakan Rancangan Acak Kelompok (RAK) Faktorial dengan dua faktor perlakuan yaitu bokhasi jerami padi dan pupuk NPK. Faktor pertama pemberian bokhasi jerami padi yaitu : B0 (kontrol); B1(1,5 kg/plot); B2 (3 kg/plot); B3 (4,5 kg/ plot). Faktor kedua pemberian pupuk NPK yaitu N0 (Kontrol); N1 (15 g/plot; N2 (30 g/ plot); N3 (45 g/ plot). Parameter yang diamati yaitu tinggi tanaman, diameter batang, bobot buah pertanaman, bobot buah perplot, bobot tongkol perplot, dan N-Tanah. Hasil penelitian menunjukkan bahwa pemberian bokashi jerami padi dan pupuk NPK mampu meningkatkan pertumbuhan,  produksi tanaman jagung manis dan ketersediaan N tanah. Interaksi perlakuan terbaik yang menghasilkan pertumbuhan, produksi tanaman jagung manis serta ketersediaan N tanah tertinggi adalah pada perlakuan B3N3 (4.5 kg bokashi/plot dan 45 g pupuk NPK/plot).
Implementation of the Design Thinking Method in Designing a Laboratory Room Scheduling System Nindy Raisa Hanum; Hasanatul Iftitah; Yogi Perdana
Journal of Informatics and Communication Technology (JICT) Vol. 7 No. 1 (2025)
Publisher : PPM Telkom University

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

Abstract

Laboratories are essential facilities in higher education institutions, particularly in supporting practical learning and research activities. However, manual management often leads to scheduling conflicts, inefficient room utilization, and limited access to real-time information. This study aims to develop a web-based, integrated laboratory room scheduling system for the Faculty of Science and Technology at the University of Jambi. The research adopts the Design Thinking methodology, which consists of five stages: Empathize, Define, Ideate, Prototype, and Test. Stakeholder needs were identified through interviews with lecturers, students, lab staff, and laboratory heads. The primary issue identified was the lack of a centralized scheduling system. A prototype was designed using Figma, incorporating features such as real-time schedule viewing, room booking management, and usage reporting. Usability testing with five respondents revealed high satisfaction in terms of learnability (84%), memorability (85%), and efficiency (87%). The results confirm that the system meets user needs and improves laboratory management. This study contributes to the digital transformation of academic services by offering a user-centered, context-aware solution tailored to the needs of the Faculty of Science and Technology.
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.
Comparative Analysis of Random Forest and XGBoost for Detecting Phishing Websites: A Machine Learning Approach Perdana, Yogi
Jurnal Kridatama Sains dan Teknologi Vol 7 No 02 (2025): Jurnal Kridatama Sains dan Teknologi
Publisher : Universitas Ma'arif Nahdlatul Ulama Kebumen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53863/kst.v7i02.1933

Abstract

Phishing attacks represent one of the most significant cybersecurity threats in the digital era, with over 300,000 complaints reported globally in 2023. In Indonesia, the National Cyber and Crypto Agency reported anomalous traffic related to phishing reaching 47,231,390 incidents in 2023, making it one of the greatest threats to the national digital ecosystem. The complexity of increasingly sophisticated modern phishing attacks requires machine learning-based automatic detection approaches to overcome the limitations of ineffective manual detection methods. This study presents a comparative analysis of Random Forest and XGBoost algorithms for automatic phishing website detection using machine learning techniques. Although both algorithms have proven effective in the cybersecurity domain, comprehensive comparisons considering aspects of performance, interpretability, and computational efficiency in the context of phishing detection remain limited, creating a research gap that needs to be filled to optimize national phishing detection systems. The research methodology includes data collection, preprocessing, model implementation, hyperparameter optimization using randomized search with 5-fold stratified cross-validation, and comparative analysis. Experimental results demonstrate that optimized XGBoost delivers the best performance with 97.78% accuracy and 73% faster training time, while Random Forest offers interpretability advantages with 97.65% accuracy. Feature importance analysis reveals SSL certificate status and anchor URL characteristics as the most critical discriminative features. This study concludes that optimized XGBoost is the more optimal choice for production deployment of real-time phishing detection systems, while Random Forest is more suitable for scenarios requiring model transparency. These findings contribute to the development of national phishing detection systems that support the Indonesian government's digitalization program and protect the public from increasing cybersecurity threats.
Parameter-Efficient Models for Malaria Detection and Classification Using Small-Scale Imbalanced Blood Smear Images Akhiyar Waladi; Hasanatul Iftitah; Nindy Raisa Hanum; Yogi Perdana; Fitra Wahyuni; Rahmad Ashar
Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control Vol. 11, No. 2, May 2026
Publisher : Universitas Muhammadiyah Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22219/kinetik.v11i2.2558

Abstract

Malaria diagnostic automation faces critical challenges, including severe class imbalance with ratios of up to 54:1, limited datasets containing 200 to 500 images, and computational inefficiency resulting from the need to train separate models for each detection-classification combination. This study developed a multi-model framework with a shared classification architecture that trains classification models once on ground-truth crops and reuses them across all detectors. The framework systematically evaluated three YOLO Medium architectures for parasite detection and six CNN architectures for lifecycle and species classification across four complementary malaria datasets totaling 1,544 microscopy images. Detection achieved mAP@50 scores ranging from 70.84% to 96.27%, with high recall values of 71.05% to 93.12% minimizing missed parasite detections. Classification results demonstrated the importance of dataset-dependent model selection, with parameter-efficient EfficientNet models containing 5.3M to 9.2M parameters consistently outperforming ResNet variants with up to 44.5M parameters. EfficientNet-B1 achieved accuracies of 91.51% on the IML Lifecycle dataset and 98.28% on the MP-IDB Species dataset, while EfficientNet-B0 achieved 86.45% on the multi-patient MD-2019 dataset. ResNet50 achieved 96.13% accuracy on severely imbalanced MP-IDB Stages dataset. Focal Loss optimization with alpha = 1.0 and gamma = 1.5 enabled robust minority-class performance, achieving F1-scores between 0.44 and 1.00 on ultra-minority classes and demonstrating effective handling of class imbalance. The compact models, with sizes ranging from 46 MB to 89 MB, enable practical deployment on resource-constrained hardware.
Comparative Analysis of Triangulation Methods for Optimal Solutions to the Art Gallery Problem Jefri Marzal; Niken Rarasati; Akhiyar Waladi; Yogi Perdana
PIKSEL : Penelitian Ilmu Komputer Sistem Embedded and Logic Vol. 13 No. 1 (2025): Maret 2025
Publisher : LPPM Universitas Islam 45 Bekasi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33558/piksel.v13i1.10749

Abstract

Triangulation is the process of breaking down an n-sided polygon into triangles and it is necessary in deciding the optimal count and the position of guards in the Art Gallery Problem (AGP) There is a theoretical limit that has been established which states that the number of required guards needed to keep an eye on such a polygon is ⌊n/3⌋ and this research considers this as the limit. Among various triangulation methods, Ear Clipping and Minimum Weight are two primary approaches frequently used to achieve optimal solutions. Nonetheless, its comparison with other methods, more particularly the amount of guards required for the maximum theoretical figure, is still a gap in literature. The aim of this research is to create an AGP simulation program and test it against the theoretical upper bound, determining the number of guards required. 228 simple polygons with vertices varying between 10 and 110 were utilized in this research. The polygons were classified into three groups based on the ratio of convex to concave vertices: less concave vertices, equal amount of concave and convex vertices and vice versa. Result study shows that the Ear Clipping method is significantly superior to Minimum Weight in reducing guard requirements. Practically speaking, these advancements are important for the design of engineering systems such as surveillance systems and the surveillance of public spaces. In the context of building security system design and monitoring of large areas, these conclusions are of utmost importance.
PROTOTYPE SISTEM INFORMASI MANAJEMEN ENERGI DI BANDARA SULTAN THAHA JAMBI Anna Febriane Angelica; Daniel Arsa; Yogi Perdana
Jurnal Mahasiswa Sistem Informasi (JMSI) Vol. 7 No. 2 (2026): Jurnal Mahasiswa Sistem Informasi (JMSI)
Publisher : Program Studi DIII Sistem Informasi - Universitas Muhammadiyah Metro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24127/jmsi.v7i2.12086

Abstract

Pengelolaan energi yang efisien sangat krusial bagi fasilitas berskala besar seperti bandar udara untuk mencegah pembengkakan biaya operasional dan mendukung keberlanjutan. Namun, urgensi ini belum terakomodasi dengan baik di Bandara Sultan Thaha Jambi, di mana pencatatan konsumsi listrik, air, dan bahan bakar masih mengandalkan spreadsheet manual yang terpisah. Pendekatan konvensional ini memicu inefisiensi tinggi, rentan terhadap kesalahan (human error), menyulitkan pelacakan historis, dan memperlambat evaluasi efisiensi oleh pihak manajemen. Penelitian ini bertujuan untuk menganalisis kebutuhan dan merancang purwarupa Energy Management Information System (EMIS) sebagai solusi digitalisasi tata kelola energi. Pendekatan yang digunakan adalah metode Prototype, yang dibatasi pada tahapan Communication, Quick Plan, Modelling Quick Design, dan Construction of Prototype. Kebutuhan sistem dimodelkan melalui Unified Modeling Language (UML) dan Entity Relationship Diagram (ERD), sementara purwarupa antarmuka (user interface) dikonstruksi secara interaktif menggunakan Figma. Hasil penelitian ini adalah high-fidelity prototype yang memfasilitasi formulir pencatatan dengan validasi otomatis, modul manajemen data master dan anggaran, serta dashboard pemantauan terpusat untuk memvisualisasikan tren energi secara real-time. Rancangan ini menghasilkan dokumen acuan (blueprint) teknis yang siap diimplementasikan untuk mengubah proses operasional manual menjadi manajemen energi terintegrasi berbasis data.
Implementasi Knowledge Management System Berbasis Website Pemerintah Provinsi Jambi Menggunakan Agile Scrum Muhammad Alfares; Edi Saputra; Yogi Perdana
Indonesian Journal of Multidisciplinary on Social and Technology Vol. 4 No. 2 (2026): Maret - Juni
Publisher : PT Ilmu Data Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.69693/ijmst.v4i2.10444

Abstract

Pengelolaan pengetahuan di lingkungan Dinas Komunikasi dan Informatika Provinsi Jambi masih menghadapi berbagai kendala, di antaranya dokumentasi yang belum terpusat, pengetahuan tacit pegawai yang berisiko hilang akibat rotasi atau mutasi, serta proses pencarian informasi yang tidak efisien. Kondisi ini menghambat efektivitas kerja dan koordinasi antar Organisasi Perangkat Daerah (OPD) dalam mendukung implementasi Sistem Pemerintahan Berbasis Elektronik (SPBE). Penelitian ini bertujuan untuk mengimplementasikan Knowledge Management System (KMS) berbasis website yang mampu mengelola pengetahuan secara terpusat di Dinas Komunikasi dan Informatika Provinsi Jambi serta memfasilitasi koordinasi konseptual antar OPD. Sistem dikembangkan menggunakan framework Laravel dengan metode Agile Scrum melalui tiga sprint dalam periode Mei hingga Juni 2026, serta mengacu pada kerangka Knowledge Management System Life Cycle (KMSLC) sebagai landasan pengelolaan pengetahuan. Sistem yang dibangun mendukung enam peran pengguna yaitu Super Admin, Admin OPD, Pakar Internal, Pakar Eksternal, Pimpinan, dan Pegawai OPD, dengan fitur utama meliputi manajemen pengetahuan, validasi pengetahuan, manajemen pengguna, manajemen kategori, dan permintaan pengetahuan antar OPD. Pengujian dilakukan menggunakan metode User Acceptance Testing (UAT) dengan pendekatan Blackbox Testing yang melibatkan tujuh responden dari lingkungan Diskominfo Provinsi Jambi. Hasil pengujian menunjukkan persentase keberhasilan sebesar 100% dari 520 skenario pengujian yang mencakup seluruh peran pengguna, melampaui ambang batas penerimaan sebesar 80%. Dengan demikian, sistem dinyatakan diterima dan berfungsi sesuai kebutuhan pengguna serta berpotensi mendukung peningkatan kualitas tata kelola pengetahuan di lingkungan Pemerintah Provinsi Jambi.  
Sistem Informasi Manajemen Energi untuk Meningkatkan Efisiensi dan Ketepatan Pengelolaan Konsumsi Energi di Bandara Daniel Arsa; Yudriqul Aulia; Yogi Perdana
Journal of Information System Research (JOSH) Vol 7 No 3 (2026): April 2026
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/josh.v7i3.9461

Abstract

Energy consumption recording (electricity, water, and fuel) at Sultan Thaha Airport Jambi currently relies on manual methods using spreadsheets. This process is prone to human error, data fragmentation, and hinders crucial energy efficiency analysis for airport operations. The need for data accuracy is becoming increasingly vital in line with the government's initiatives to tighten budget efficiency and drive digital transformation in public infrastructure. To support energy conservation policies and optimize operational costs, a more transparent and integrated monitoring system is required. This research aims to design and implement a web-based Energy Management Information System to address these challenges. Using the Waterfall development method, the system is built with a modern architecture utilizing React.js for a responsive interface, Express.js as the backend, and PostgreSQL for a scalable database management. Black Box testing results indicate that the system is valid and successfully provides an integrated solution through Dashboard Monitoring, Digital Input Validation, and centralized data reporting. The implementation of this system transforms energy governance from manual to digitally integrated, providing a solid foundation for airport management in making strategic decisions aligned with national budget efficiency and energy sustainability programs.
Co-Authors Abda Abda Akhiyar Waladi Andre Rabiula Anna Febriane Angelica Arsa, Daniel Chairani Siregar Daniel Arsa Edi Saputra Erlan Syahputra Fitra Wahyuni Hasanatul Iftitah Jefri Marzal Mindalisma, Mindalisma Muh. Subhan Muhammad Alfares Niken Rarasati Nindy Raisa Hanum Rahmad Ashar Rambe, Rahmi Dwi Handayani Yandi Anzari Yudriqul Aulia