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All Journal ITEj (Information Technology Engineering Journals) METHOMIKA: Jurnal Manajemen Informatika & Komputerisasi Akuntansi Jurnal Sisfokom (Sistem Informasi dan Komputer) Jurnal Ilmiah ILKOMINFO - Ilmu Komputer & Informatika International Journal of Engineering, Science and Information Technology JURNAL ILMIAH GLOBAL EDUCATION Journal of Renewable Energy, Electrical, and Computer Engineering TECHSI - Jurnal Teknik Informatika Sisfo: Jurnal Ilmiah Sistem Informasi Jurnal Teknologi Terapan and Sains 4.0 Buletin Pengabdian Jurnal Malikussaleh Mengabdi Journal of Advanced Computer Knowledge and Algorithms INOVTEK Polbeng - Seri Informatika
Fuadi, Wahyu
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Development of an Expert System for Identifying Students' Learning Styles Using the Euclidean Probability Method Rahma, Putri; Fitri, Zahratul; Fuadi, Wahyu
ITEJ (Information Technology Engineering Journals) Vol 10 No 1 (2025): June
Publisher : Pusat Teknologi Informasi dan Pangkalan Data IAIN Syekh Nurjati Cirebon

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24235/itej.v10i1.214

Abstract

Learning styles play an important role in determining the most effective teaching strategies by aligning instructional methods with students’ individual preferences in receiving, processing, and understanding information. However, classroom teaching is often applied uniformly, disregarding the differences in learning styles among students. This can hinder the effectiveness of the learning process. This research aims to develop a web-based expert system using the Euclidean Probability method to identify the dominant learning styles of students at SMK Negeri 3 Lhokseumawe. The system processes input data representing student characteristics and calculates the proximity to each learning style category using the Euclidean distance formula. A total of 110 student data entries were analyzed, revealing that 32 students (29.09%) had a Visual learning style, 26 students (23.64%) were Auditory, 16 students (14.55%) were Read/Write, and 36 students (32.73%) were Kinesthetic learners. The results showed that the Kinesthetic learning style was the most dominant among students. Therefore, this expert system can efficiently assist in determining students' learning styles, allowing for quick and accurate identification of their learning preferences. This supports the development of more personalized and adaptive learning strategies, which are expected to enhance student engagement and learning outcomes.
PERAMALAN PERSEDIAAN GABAH KERING GILING (GKG) DENGAN MENGGUNAKAN METODE LOT SIZING DI KILANG PADI MARKOM Syahputra, Irwanda; Fuadi, Wahyu; Pratama, Angga
Sisfo: Jurnal Ilmiah Sistem Informasi Vol. 1 No. 2 (2017): Sisfo: Jurnal Ilmiah Sistem Informasi, Oktober 2017
Publisher : Universitas Malikussaleh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29103/sisfo.v1i2.242

Abstract

Seiring dengan semakin berkembangnya teknologi, kondisi persaingan didalamdunia usaha menjadi semakin ketat. Untuk menghadapi persaingan yang ketat inidiperlukan suatu sistem yang dapat meramalkan persediaan agar proses produksitidak terganggu dengan masalah bahan baku. Gabah kering giling (GKG)merupakan Untuk meramalkan persediaan ini maka dibagun sebuah sistem yangdapat memperkirakan permitaan kedepan dengan data dari tahun sebelumnya,serta dapat memaksimalkan dari segi biaya yang dikeluarkan untuk melakukanpersediaan tersebut. Perancagan penelitian ini menggunakan metode unifiedmodeling language (UML), yaitu dengan use case diagram, sequence diagram,activity diagram serta class diagram. Adapun tahapan dalam penelitian ini terdiridari proses peramalan permintaan dari gabah kering giling untuk satu tahunkedepan dengan menggunakan metode peramalan kuantitatif, selanjutnya akandicari nilai safety stock dan menghitung biaya pemesanan terkecil dari periodeyang ada dengan metode lot sizing. Dari hasil pengujian yang telah dilakukandidapatkan hasil untuk total permintaan selama tahun 2016 adalah sebesar 464360kg dan turun 12,06 % dari permintaan tahun 2015, dimana hasil tersebutselanjutnya dibagikan kembali atas 12 periode yang ada dalam setahunberdasarkan pola yang terbentuk dari data sebelumnya. Untuk perhitungan lotsizing nya didapatkan hasil berupa biaya pemesanan perperiode dengan biayapaling kecil jika pemesanan dilakukan pada setiap periode, sehingga menjadikanjumlah pemesanan dalam setahun sebanyak 12 kali pemesanan.Kata Kunci: Lot Sizing, Silver Meal, GKG, Safety Stock, Peramalan, UML.
Job Vacancy Recommendation System using JACCARD Method On Graph Database Riza, Saiful; Fuadi, Wahyu; Afrillia, Yesy
Jurnal Sisfokom (Sistem Informasi dan Komputer) Vol. 14 No. 3 (2025): JULY
Publisher : ISB Atma Luhur

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32736/sisfokom.v14i3.2387

Abstract

In the rapidly evolving digital era, recommendation systems play a crucial role in helping users discover relevant information aligned with their preferences. PT Nirmala Satya Development, a company engaged in psychology and human resource development, faces challenges in utilizing big data consisting of 500 applicants, 500 job postings, and 500 job applications to generate accurate and relevant job recommendations. This study develops a job recommendation system using the Jaccard Coefficient method to measure similarity between users based on their job application history, implemented within a Neo4j graph database. The system models the relationships between entities through nodes and edges, allowing dynamic analysis using the Cypher Query Language. Testing on 237 users demonstrated that the majority received at least one relevant recommendation, with recall values often reaching 1.0, especially among users who had a single job target. The system achieved precision values ranging from 10% to 20%, which is considered acceptable given that ten recommendations are generated per user. The highest F1-score reached 0.33, although some users received F1 = 0 due to limited application history or unique preferences. Overall, the system effectively delivers personalized and efficient job recommendations, particularly for active users. This research also proves that combining the Jaccard Coefficient with a graph database structure is a powerful approach to representing and analyzing complex relationships between users and job postings in a modern recruitment platform.
Decision Support System for Determining Disease and Pest Handling in Chili Plants Using WP and VIKOR Methods Jalila, Muhammad Mulkan; Fuadi, Wahyu; Razi, Ar
Jurnal Sisfokom (Sistem Informasi dan Komputer) Vol. 14 No. 3 (2025): JULY
Publisher : ISB Atma Luhur

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

Abstract

Abstract— Chili plants are an important horticultural commodity that plays a major role in the agricultural and economic sectors of Indonesia. However, the high risk of pest and disease attacks is a major challenge for farmers in increasing productivity. Many farmers have difficulty in determining the right handling strategy, so technology-based solutions are needed to assist the decision-making process. This study developed a Decision Support System (DSS) for handling diseases and pests in chili plants using two methods, namely Weighted Product (WP) and VIšekriterijumsko Kompromisno Rangiranje (VIKOR). The WP method is used to calculate attribute assessments by multiplication, where each criterion is weighted according to its level of importance. The final results show that the best alternative is fusarium wilt disease (Fusarium oxysporum) with code A2, having a vector score of 0.09899. In the VIKOR method, the alternative with the lowest Qi index value is considered the best solution. Alternative A2 is again ranked at the top with a Qi value of 0. The process of developing this DSS involves identifying disease and pest symptom criteria, normalizing the decision matrix, and calculating the ideal solution for each alternative. This approach has proven effective in providing accurate recommendations and helping farmers choose the most optimal management strategy. By utilizing WP and VIKOR-based SPK, it is hoped that chili farmers can increase efficiency in identifying and overcoming plant disorders, so that agricultural productivity can increase significantly.
Implementation of Singular Value Decomposition with Constraint Base Approach for Internship Recommendation System for Vocational High School Students Taufik, Nugraha Muhammad; Fuadi, Wahyu; Maryana, Maryana
Jurnal Ilmiah Global Education Vol. 6 No. 3 (2025): JURNAL ILMIAH GLOBAL EDUCATION
Publisher : LPPM Institut Pendidikan Nusantara Global

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55681/jige.v6i3.4179

Abstract

Vocational education in Indonesia, especially through Vocational High Schools, plays a crucial role in preparing students for the workforce. However, mismatches between student competencies and industry requirements often result in ineffective internship placements. This study focuses on SMK Negeri 2 Banda Aceh, where the internship placement process has been carried out manually and lacks an objective and personalized system. To address this challenge, a hybrid recommendation system was developed by combining Singular Value Decomposition with a constraint-based approach. The SVD method predicts student-industry compatibility by uncovering latent patterns in the rating data, while constraint-based filtering ensures that recommendations meet specific criteria such as major compatibility, skill alignment, and availability of industry capacity. The system was implemented as a web-based application using Python and MySQL, providing real-time recommendations with response times between one and three seconds. Testing with data from 344 students and more than 120 industry partners at SMK Negeri 2 Banda Aceh demonstrated the system’s ability to generate accurate and relevant recommendations. For example, although an industry with a predicted rating of 0.58 matched the student’s major and skills, it was not recommended due to full capacity. Instead, another industry with a lower predicted rating of 0.44 was recommended because it met all the required constraints. This system helps schools carry out internship placements more objectively, efficiently, and in alignment with student profiles and industry.
Co-Authors Aidilof, Hafizh Al Kautsar Akbar, Andry Maulana amri, maulana Andik Bintoro Angga Pratama Aqsa, Dina Alfini Asran Asran Badriana, Badriana Bakhtiar Bakhtiar Cut Ita Erliana Dedi Fariadi Eva Ayuzar, Eva Eva Darnila Fadlisyah Fadlisyah Fajar, Kasihan Muhammad Fajriana, Fajriana Halimatun Sakdiah, Halimatun Harahap, Lina Mardiana Irwanda Syahputra Irwansyah, Defi Jalila, Muhammad Mulkan Kamilaini, Kamilaini Karmawati Karmawati Kausar, M Reza Khairawati, K Kurniawati Kurniawati Lidya Rosnita Mahdaliana, Mahdaliana Marpaung, Rifky Firzani Maryana Maryana Maryana Maryana, Maryana MUHAMMAD TEGUH, MUHAMMAD Munawarah Munawarah, Munawarah Mutammimul Ula Mutia Zahara mutiara mutiara Naturizal, Rayhan Novita, Lilis Nunsina, Nunsina Pohan, Muhammad Wahyu Putri, Husna Moetia Rachmawati Rusydi, Rachmawati Rahma, Putri Rahmaniar, R Rahmawati M, Rahmawati Rahmawati, Rahmawati Ramazani, Ayu Razi, Ar Rini Meiyanti Risawandi, Risawandi RISKA YANTI, RISKA Riza, Saiful Rozzi Kesuma Dinata Saifuddin Muhammad Jalil Selamat Meliala Syintia, Icut Taufik, Nugraha Muhammad Teuku Multazam wandi, risa Yesy Afrillia Zahratul Fitri, Zahratul Zara Yunizar Zulfia, Anni