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All Journal MATRIK : Jurnal Manajemen, Teknik Informatika, dan Rekayasa Komputer JSiI (Jurnal Sistem Informasi) JOURNAL OF SCIENCE AND SOCIAL RESEARCH Jurnal Ilmiah Sinus METIK JURNAL Jurnal Mantik Jurnal Vokasi G-Tech : Jurnal Teknologi Terapan INFOKUM Jurnal Sistem Informasi dan Sains Teknologi JINAV: Journal of Information and Visualization International Journal of Engineering, Science and Information Technology Jurnal Informatika dan Teknologi Komputer ( J-ICOM) Jurnal Manajemen Informatika Jayakarta Jurnal Tika Multica Science and Technology JUSTIN (Jurnal Sistem dan Teknologi Informasi) Brilliance: Research of Artificial Intelligence Sisfo: Jurnal Ilmiah Sistem Informasi Jurnal Algoritma Journal of Artificial Intelligence and Engineering Applications (JAIEA) Jurnal Malikussaleh Mengabdi Jurnal Pengabdian Nasional (JPN) Indonesia Gameology and Multimedia Expert Jurnal Solusi Masyarakat (JSM)
Veri Ilhadi
Universitas Malikussaleh
Religion Agriculture, Biological Sciences & Forestry Humanities Astronomy Automotive Engineering Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Mathematics Mechanical Engineering Physics Social Sciences Transportation Other

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Comparing Long Short-Term Memory and Random Forest Accuracy for Bitcoin Price Forecasting Munirul Ula; Veri Ilhadi; Zailani Mohamed Sidek
MATRIK : Jurnal Manajemen, Teknik Informatika dan Rekayasa Komputer Vol. 23 No. 2 (2024)
Publisher : Universitas Bumigora

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30812/matrik.v23i2.3267

Abstract

Bitcoin’s daily value fluctuations are very dynamic. Understanding its rapid and intricate price movements demands advanced techniques for processing complex data. This research aims to compare the accuracy of two machine learning methods, Random Forest (RF) and Long Short-Term Memory (LSTM), in predicting Bitcoin price. This research employs RF and LSTM algorithms to forecast Bitcoin prices using a two-year Yahoo Finance dataset. The evaluation metrics used were accuracy based on Mean Absolute Percentage Error (MAPE) and computational power (CPU-Z). As a result of this research, the LSTM model demonstrates higher accuracy compared to the RF model. MAPE reveals LSTM’s precision of 99.8% and RF’s accuracy of 90.1%. Regarding computational time and resources, RF shows slightly better performance than LSTM. The visual comparison further emphasizes LSTM’s better performance in predicting Bitcoin prices, highlighting its potential for informed decision-making in cryptocurrency trading. This research contributes valuable insights into the effectiveness, strengths, and weaknesses of LSTM and RF models in predicting cryptocurrency trends.
SPK UNTUK MENENTUKAN PENERIMA PROGRAM SOSIAL ZAKAT DI BAITUMAL LHOKSEUMAWE MENGGUNAKAN METODE WSM Maylani, Maylani; Ilhadi, Veri; Nisa, Fidyatun
JOURNAL OF SCIENCE AND SOCIAL RESEARCH Vol 9, No 1 (2026): February 2026
Publisher : Smart Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54314/jssr.v9i1.5295

Abstract

Abstract: Zakat is an important instrument in reducing poverty; therefore, its distribution must be carried out accurately and appropriately. In practice, the process of determining zakat beneficiaries at Baitul Mal still encounters several obstacles, such as subjectivity and limitations in processing mustahik data. This research aims to develop a Decision Support System (DSS) to assist Baitul Mal in determining the priority of zakat recipients objectively and systematically. The decision-making process applies the Weighted Sum Model (WSM), in which each criterion is assigned a weight according to its level of importance, and a preference value is then calculated for each candidate recipient. The system was developed as a web-based application to facilitate user access. System evaluation was conducted using User Acceptance Testing (UAT) involving Baitul Mal administrators as end users. The test results show that the system obtained an average score above 4 on a 1–5 scale, indicating that it is easy to use, meets user needs, and supports the decision-making process for zakat distribution. Therefore, the proposed system can serve as an effective tool to improve the accuracy and efficiency of zakat distribution to eligible mustahik. Keyword: Zakat, Decision Support System, Weighted Sum Model, User Acceptance Testing, Mustahik Abstrak: Zakat merupakan salah satu instrumen penting dalam upaya mengurangi kemiskinan, sehingga penyalurannya harus dilakukan secara tepat sasaran. Pada praktiknya, proses penentuan prioritas penerima zakat di Baitul Mal masih memiliki kendala, seperti subjektivitas dan keterbatasan dalam pengolahan data mustahik. Penelitian ini bertujuan untuk membangun Sistem Pendukung Keputusan (SPK) yang dapat membantu Baitul Mal dalam menentukan prioritas penerima zakat secara objektif dan terstruktur. Metode yang digunakan dalam pengambilan keputusan adalah Weighted Sum Model (WSM), di mana setiap kriteria diberi bobot sesuai tingkat kepentingannya, kemudian dihitung nilai preferensi untuk setiap calon penerima zakat. Sistem dikembangkan berbasis web agar mudah diakses oleh petugas. Pengujian sistem dilakukan menggunakan User Acceptance Testing (UAT) dengan melibatkan Admin Baitul Mal sebagai pengguna langsung sistem. Berdasarkan hasil pengujian, diperoleh nilai rata-rata penilaian lebih dari 4 (skala 1–5) yang menunjukkan bahwa sistem dinilai mudah digunakan, sesuai kebutuhan, serta membantu proses penentuan prioritas penerima zakat. Dengan demikian, sistem yang dibangun dapat menjadi alat bantu yang efektif bagi Baitul Mal dalam meningkatkan akurasi dan efisiensi penyaluran zakat kepada mustahik yang berhak menerima. Kata kunci: Zakat, Sistem Pendukung Keputusan, Weighted Sum Model, User Acceptance Testing, Mustahik
SISTEM INFORMASI PENGAJUAN BANTUAN PENYANDANG DISABILITAS BERBASIS WEB PADA DINAS SOSIAL KOTA LHOKSEUMAWE Novita Dwi Anggi; Veri Ilhadi
Jurnal Manajamen Informatika Jayakarta Vol 6 No 1 (2026): JMI Jayakarta (February 2026)
Publisher : Sekolah Tinggi Manajemen Informatika dan Komputer Jayakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52362/jmijayakarta.v6i1.2267

Abstract

Pelayanan publik bagi penyandang disabilitas di Dinas Sosial Kota Lhokseumawe saat ini masih menghadapi kendala administratif akibat proses pengajuan bantuan yang dilakukan secara manual. Hal ini menimbulkan risiko kerusakan dokumen fisik dan ketidakefisienan waktu dalam proses verifikasi data. Penelitian ini bertujuan untuk merancang dan membangun sistem informasi pengajuan bantuan berbasis web yang dapat memudahkan akses masyarakat serta mempercepat kinerja instansi. Metode pengembangan sistem yang digunakan adalah Waterfall, yang meliputi tahap analisis kebutuhan, perancangan sistem menggunakan Unified Modeling Language (UML), implementasi dengan framework Laravel dan basis data MySQL, serta pengujian sistem. Hasil penelitian menunjukkan bahwa sistem informasi ini mampu mengelola data pengajuan secara terpusat, menyediakan fitur unggah dokumen digital, dan memungkinkan pemantauan status pengajuan secara transparan. Berdasarkan pengujian Black Box, seluruh fungsi sistem berjalan dengan baik dan layak digunakan untuk mendukung digitalisasi pelayanan rehabilitasi sosial pada Dinas Sosial Kota Lhokseumawe. Kata kunci: Sistem Informasi, Disabilitas, Pelayanan Publik, Waterfall, Laravel
Perancangan dan Implementasi Sistem Informasi Absensi Karyawan K3 PLN Berbasis Website lia lia melani; Veri Ilhadi; Muthmainnah Muthmainnah
Sisfo: Jurnal Ilmiah Sistem Informasi Vol. 9 No. 2 (2025): Sisfo: Jurnal Ilmiah Sistem Informasi, Oktober 2025
Publisher : Universitas Malikussaleh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29103/sisfo.v9i2.24996

Abstract

Perancangan dan implementasi sistem informasi absensi karyawan K3 berbasis website sebagai solusi pengganti metode manual melalui WhatsApp di PT PLN (Persero) ULP Tebing Tinggi. Sistem lama memiliki kelemahan seperti format tidak terstruktur, potensi manipulasi data, dan rekapitulasi manual. Sebagai bentuk digitalisasi administrasi, dikembangkan sistem berbasis PHP dan MySQL dengan fitur login, pengisian absensi, unggah foto, pencatatan waktu otomatis, dan manajemen data oleh admin. Metode yang digunakan adalah deskriptif dengan pengumpulan data melalui observasi dan wawancara. Hasil implementasi menunjukkan peningkatan efisiensi, akurasi, dan transparansi pencatatan, serta kemudahan bagi admin.
Robust Evaluation Model Analysis of Decision Support System in Warehouse Selection Based on Multi-Criteria Decision Making and Sensitivity Analysis syukriah syukriah; Defi Irwansyah; Lis Ayu Widari; Mutamimmul Ula; Veri Ilhadi
Sisfo: Jurnal Ilmiah Sistem Informasi Vol. 10 No. 1 (2026): Sisfo: Jurnal Ilmiah Sistem Informasi, Mei 2026
Publisher : Universitas Malikussaleh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29103/sisfo.v10i1.26991

Abstract

Determining strategic warehouse locations is complex because it involves various criteria that are often conflicting, such as cost, ease of access, capacity, and operational risk. This study aims to evaluate a robust model in a Decision Support System (DSS) for warehouse selection using a Multi-Criteria Decision Making (MCDM) approach. The applied methodology combines several MCDM techniques, namely the Analytical Hierarchy Process (AHP) to determine the criteria weights and the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) to rank alternatives. In addition, a sensitivity analysis is used to test the level of stability and resilience of the model to changes in criteria weights. The results show that the developed model is able to produce stable and responsive recommendations to variations in decision parameters. The sensitivity analysis also reveals that several criteria have a significant influence on the final result, thus requiring more attention in the weighting process.
Design and Development of a News Website and CMS Based on Three-Tier Architecture: A Case Study of PLTU Pangkalan Susu Zainuddin; Veri Ilhadi
Journal of Artificial Intelligence and Engineering Applications (JAIEA) Vol. 5 No. 3 (2026): June 2026
Publisher : Yayasan Kita Menulis

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59934/jaiea.v5i3.2367

Abstract

Pangkalan Susu Steam Power Plant does not yet have a structured official publication platform, causing information dissemination to depend mainly on social media and making news archives difficult to organize and retrieve regularly. This condition highlights the need for a web-based information system that supports more professional content management. This study aims to design and develop a news website and Content Management System (CMS) by applying a Research and Development (R&D) approach and three-tier architecture, which separates the presentation layer, application logic layer, and data layer. The development process consists of requirements analysis, system architecture and database design, implementation, and functional testing. The system was implemented using Laravel as the application framework, Blade for the user interface, Filament as the administration panel, and MySQL as the database management system. Functional testing was conducted using the black-box method on 14 main scenarios, including the management of news, categories, authors, banners, and logout features. The results show a 100% success rate, indicating that all tested functions operated according to the expected outcomes without functional errors. The proposed architecture produces a modular, scalable, and maintainable system that can support the future development of the official information platform of Pangkalan Susu Steam Power Plant.
Co-Authors - Fakhrurrazi Achmad Noerkhaerin Putra Aidilof, Hafizh Al Kautsar Akbar, Jamalul Amanda, Diana Andrian, Deny Angelina, Difa Angga Pratama Angga Pratama ANNISA KARIMA Ardiansyah, Danil Arief Arief Rahman Arief Rahman Arif, Abdul Halim Arif, Rijalul Arifa, Tiara Minda Asran Asran Ayu Widari, Lis Bukhari, Fiona Burhanuddin Burhanuddin Chairil Anwar Cut Agusniar Defi Irwansyah EDI YUSUF, EDI Edo Prandahlan Eka Rahma Emi Maulani Ezwarsyah Ezwarsyah F Saragih, Annisa Fakhruddin Ahmad Nasution Fakhrurrazi Fidyatun Nisa Hidayat, Amam Taufiq Ilham Sahputra Irma Yurni Irvan Na’syakban Irwansyah, Defi Izzati, Azra Jamalul Aqmal Khaira, Miftahul Khairul Amna Khairul Amna, Khairul Kurniasi, Arni Astuti lia lia melani Lis Ayu widari Liza Afra Maulidin, Muhammad Maylani, Maylani Misbahul Jannah Muhammad Gaffar Kamata MUHAMMAD HABIB Muhammad Muhammad Muharram, Rachmad Muliana Muliana Munirul Ula Mutamimmul Ula Mutammimul Ula MUTHMAINNAH Muthmainnah Muthmainnah Muthmainnah Muthmainnah Nazariah, Cut Novita Dwi Anggi Nurfebruary, Nanda Sitti Pandiana, Annisa Rachmad Muharram Rahma Fitria, Rahma Ridha Maulana Rizki Mela Kurnia Rizky Putra Fhonna Rosdiana Rosdiana Rosdiana Rosdiana Safwandi Safwandi Sahputra , Ilham Sahputra, Ilham Salahuddin Salahuddin Salamah Saptari, Mochamad Ari Sari, Indah Maulida Sayed Fachrurrazi Selian, Riko Ardiansyah Siti Fatimatun Zahro Sujacka Retno Sukatin, Sukatin Sukiman, T. Sukma Achriadi Syarifah Asria Nanda Syukriah Syukriah Syukriah Syukriah, Syukriah Teuku M. Arief Afwan Ulya, Athiyatul Wahyu Fuadi Yesy Afrillia Yulisda, Desvina Yurni, Irma Zailani Mohamed Sidek Zainuddin Zalfie Ardian Zohra, Siti Fatimah A Zuhra, Amna Zulfia , Anni