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All Journal Jurnal Informatika Upgris Swabumi (Suara Wawasan Sukabumi) : Ilmu Komputer, Manajemen, dan Sosial IJCIT (Indonesian Journal on Computer and Information Technology) Indonesian Journal on Software Engineering (IJSE) Jurnal Pilar Nusa Mandiri JURNAL ILMIAH INFORMATIKA ILKOM Jurnal Ilmiah Jurnal Nasional Komputasi dan Teknologi Informasi JUTIS : Jurnal Teknik Informatika STUDI PELAKSANAAN SELFMEDICATION PADA PENDERITA DIARE BERDASARKAN TINGKAT PENGETAHUAN MASYARAKAT PESISIR KECAMATAN SOROPIA KABUPATEN KONAWE JUSTIAN - Jurnal Sistem Informasi Akuntansi Jurnal Abdimas Komunikasi dan Bahasa sudo Jurnal Teknik Informatika INTERNATIONAL JOURNAL OF MECHANICAL COMPUTATIONAL AND MANUFACTURING RESEARCH JURNAL KESEHATAN, SAINS, DAN TEKNOLOGI (JAKASAKTI) Journal of Informatics, Electrical and Electronics Engineering
Hasan, Fuad Nur
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Aerospace Engineering Agriculture, Biological Sciences & Forestry 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 Economics, Econometrics & Finance Electrical & Electronics Engineering Engineering Health Professions Languange, Linguistic, Communication & Media Mechanical Engineering Medicine & Pharmacology Neuroscience Public Health Social Sciences Transportation

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Implementasi Metode Waterfall Pada Web Company Profile Yayasan Mega Gotong Royong Rahmat, Ferdy; Alfarizi, Faisal; Maulana, Dimas; Ramadhan, Muhammad Ridwan; Hasan, Fuad Nur
Jurnal Informatika UPGRIS Vol 10, No 1: Juni 2024
Publisher : Universitas PGRI Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26877/jiu.v10i1.19039

Abstract

Penelitian ini membahas perancangan dan implementasi sistem informasi berbasis website menggunakan metode Waterfall dan framework Codeigniter. Implementasi dilakukan pada web Company Profile Yayasan Mega Gotong Royong. Metode Waterfall yang diterapkan melibatkan tahapan analisis kebutuhan, desain sistem, implementasi program, dan pengujian. Proses implementasi program mencakup pengembangan tampilan yang disesuaikan untuk pengunjung dan administrator, serta pengujian fungsional menggunakan metode Black Box Testing. Hasil dari implementasi ini menunjukkan keberhasilan dalam menciptakan sebuah website Company Profile yang memenuhi kebutuhan Yayasan Mega Gotong Royong. Dengan adopsi metode Waterfall, proses pengembangan sistem informasi berjalan secara terstruktur dan terorganisir, memungkinkan tim pengembang untuk mengidentifikasi kebutuhan dengan jelas, merancang sistem dengan tepat, dan menguji fungsionalitas secara menyeluruh. Kesimpulan dari penelitian ini adalah bahwa penerapan metode Waterfall dalam pembuatan website Company Profile Yayasan Mega Gotong Royong telah berhasil dan memberikan hasil yang memuaskan. Dengan demikian, penelitian ini memberikan kontribusi positif dalam pengembangan sistem informasi berbasis website dan menunjukkan pentingnya penggunaan metodologi yang tepat dalam proses pengembangan perangkat lunak.
Rancang Bangun Sistem Informasi Pengarsipan Dokumen Di Kantor Camat Segedong Berbasis Web Santi, Santi; Murni, Sri; Handayani, Kartika; Erni, Erni; Rahayuningsih, Panny Agustia; Hasan, Fuad Nur
Jurnal Sistem Informasi Akuntansi Vol. 6 No. 1 (2025): Periode Maret 2025
Publisher : LPPM Universitas Bina Sarana Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31294/justian.v6i1.9429

Abstract

In accordance with Pontianak District Regulation No. 7 of 2005, which formally established Segedong District, it was created by dividing Siantan District, which is now Jongkat District. Document archiving, including the recording of arriving and outgoing letters, is an integral part of the work of the Segedong Camat Office, a government agency in Segedong that provides services. The Segedong Sub-District Office has an issue with document archiving; specifically, they still use an agenda book to manually record incoming and outgoing letters. There is a risk of data corruption or loss while using the agenda book to record letters. The Segedong Sub-District Office is in need of an information system for web-based archiving. The research methodology involves conducting interviews and direct observations of the Segedong District Office's document filing system. In response to the challenges encountered by the Segedong District Office's staff in the process of document archiving, the author proposes the development of a web-based document archiving information system. Development of websites in PHP with the help of Xampp and MySQL. data pertaining to outgoing mail, index, reports on arriving mail, and reports on outgoing mail
KLASIFIKASI CITRA WADAH MINUMAN REUSABLE DAN NON-REUSABLE MENGGUNAKAN MOBILENETV2 Ramanda, Dea; Hasan, Fuad Nur; Kuntoro, Antonius Yadi
JURNAL ILMIAH INFORMATIKA Vol 13 No 02 (2025): Jurnal Ilmiah Informatika (JIF)
Publisher : LPPM Universitas Putera Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33884/jif.v13i02.10349

Abstract

Single-use plastic waste, particularly from beverage bottles, remains a significant contributor to the increasing volume of waste in Indonesia. The limited use of reusable beverage containers underscores the urgent need for technological innovations that can support efficient waste segregation. Addressing this issue, the present study proposes a computer vision-based image classification system designed to automatically distinguish between reusable and non-reusable drinking containers. This research adopts a quantitative experimental approach, employing the MobileNetV2 architecture through transfer learning techniques. The model was trained with augmented and normalized datasets to enhance its generalization across diverse image inputs. Evaluation results demonstrate strong classification performance, achieving 96% accuracy, 99% precision (for tumblers), 95% recall, and a 97% F1-score. These outcomes indicate the effectiveness of MobileNetV2 in identifying visual patterns between container types and its potential for deployment in image-driven waste management systems.
PENERAPAN DATA MINING DALAM PENILAIAN KINERJA AKADEMIK SISWA/I SMP YPI PULOGADUNG DENGAN METODE K-MEANS CLUSTERING Nabilatul Adzra, Salsa; Hasan, Fuad Nur; Kuntoro, Antonius Yadi
JURNAL ILMIAH INFORMATIKA Vol 13 No 02 (2025): Jurnal Ilmiah Informatika (JIF)
Publisher : LPPM Universitas Putera Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33884/jif.v13i02.10396

Abstract

Improving the quality of education requires an objective, systematic, and data-driven academic performance assessment system. One technological approach that can be used to support this is data mining, specifically the K-Means Clustering method. This studyaims to cluster student academic data based on report card grades for the odd semester of the 2024/2025 academic year using the K-Means algorithm. Data processing was performed using RapidMiner software, with the optimal number of clusters selected at three (K=3) based on the Davies Bouldin Index (DBI) of 0.077. The clustering results form three main categories: Cluster 0 contains 174 students with average academic performance, Cluster 1 contains only one student with the lowest performance, and Cluster 2 contains 107 students with high academic performance. This grouping provides more structured and useful information for schools in designing targeted academic development strategies. This study demonstrates the effectiveness of the K-Means Clustering method in identifying student academic patterns and classifications.
ANALISIS SENTIMEN PROGRAM MAKAN GRATIS PADA PLATFORM X MENGGUNAKAN AGORITMA NAÏVE BAYES Laia , Metodius Modianus; Hasan, Fuad Nur; Kuntoro, Antonius Yadi
JURNAL ILMIAH INFORMATIKA Vol 13 No 02 (2025): Jurnal Ilmiah Informatika (JIF)
Publisher : LPPM Universitas Putera Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33884/jif.v13i02.10427

Abstract

The Free Meal Program is one of the government’s strategic policies that has received various public responses, especially on social media Platform X (formerly Twitter). This study aims to analyze the level of public sentiment toward the Free Meal Program on Platform X. The classification method used is the Naïve Bayes algorithm, with model validation performed using the K-Fold Cross Validation technique. A total of 3,600 Indonesian-language tweets relevant to the Free Meal Program were collected through a web scraping process, followed by text preprocessing steps such as case folding, cleaning, tokenizing, stopword removal, and stemming. Data labeling was carried out semi-automatically using the IndoBERT model, and the tweets were then classified into two sentiment categories: positive and negative. The Naïve Bayes model was trained using the TF-IDF representation and tested on a test set comprising 20% of the total dataset. The evaluation results showed that the Naïve Bayes algorithm achieved an accuracy of 86.46%, precision of 86.55%, recall of 95.25%, and an F1-score of 90.77% on 458 test tweets. Validation using 10-fold cross-validation yielded an average accuracy of 86.74%. These results indicate that the Naïve Bayes algorithm demonstrates good classification performance and stable generalization in classifying public sentiment regarding the Free Meal Program. This research is expected to serve as a supporting tool in mapping public opinion based on social media
Implementation of Warehouse Inventory Management System at CV Cahaya Karunia Mulia Hermawan, Muhamad Taufik; Hasan, Fuad Nur; Kuntoro, Antonius Yadi
JURNAL KESEHATAN, SAINS, DAN TEKNOLOGI (JAKASAKTI) Vol. 4 No. 3 (2025): JURNAL KESEHATAN, SAINS, DAN TEKNOLOGI (JAKASAKTI)
Publisher : LPPM Universitas Dhyana Pura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36002/js.v4i3.4804

Abstract

The development of information technology has driven efficiency in various aspects of company operations, including inventory management. CV Cahaya Karunia Mulia, a company engaged in marble distribution, still uses Google Spreadsheets as the main tool for warehouse inventory management. This condition creates the risk of data discrepancies and hinders operational efficiency. This research aims to analyze requirements, design, implement, and test a web-based warehouse inventory management system for the company. The method used is the Waterfall approach, consisting of requirement analysis, system design, implementation, testing, as well as deployment and maintenance. The results show that the developed system is able to meet the company’s functional and non-functional requirements, with key features such as master data management, inventory transactions, and stock monitoring. System testing indicates that all functions run as expected and are capable of improving efficiency, accuracy, and effectiveness in warehouse inventory management. Therefore, this system can serve as a solution that significantly supports smooth operational processes.
Implementasi Framework CodeIgniter 4 Pada Aplikasi Inventory Berbasis Web Menggunakan Metode Waterfall Hasan, Fuad Nur; Nurlelah, Elah; Bachtiar, Yusuf
IJCIT (Indonesian Journal on Computer and Information Technology) Vol 9, No 1 (2024): IJCIT Mei 2024
Publisher : LPPM Universitas Bina Sarana Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31294/ijcit.v9i1.20157

Abstract

CV Perdana Berkah Sejahtera adalah perusahaan yang bergerak dibidang perdagangan umum, khususnya penjualan Alat Tulis Kantor, Komputer, Laptop, Bahan Kimia, dan Aksesoris Komputer. Sistem pengelolaan stok barang pada perusahaan ini masih menggunakan sistem pencatatan manual yaitu dengan menggunakan media kertas. Hal ini tentunya menyebabkan data-data mudah rusak dan hilang, dan sering terjadi kesalahan pencatatan. Untuk mengatasi masalah tersebut, peneliti membuat sebuah sistem inventory berbasis web menggunakan model waterfall dan framework codeIgniter 4. Dengan menggunakan metode waterfall proses pengembangan model dilakukan secara bertahap sehingga meminimalisir kesalahan. Tujuan dari penelitian ini yaitu merancang dan mengimplementasikan sebuah sistem inventory berbasis web pada CV Perdana Berkah Sejahtera. Tahapan metode waterfall meliputi analisis kebutuhan, perancangan sistem, implementation, pengujian dan pemeliharaan. Hasil penelitian ini yaitu terbentuknya aplikasi inventory berbasis web yang efektif dan efisien dalam pengelolaan stok barang, sehingga dapat mengurangi kesalahan dalam pencatatan, mempercepat dalam pembuatan laporan data barang. Aplikasi ini telah melalui berbagai tahapan termasuk tahap pengujian dan aplikasi ini menunjukkan hasil yang baik dalam proses pengelolaan stok barang. CV Perdana Berkah Sejahtera is a company that operates in the general trading sector, especially the sale of office stationery, computers, laptops, chemicals and computer accessories. The stock management system at this company still uses a manual recording system, namely using paper media. This of course causes data to be easily damaged and lost, and recording errors often occur. To overcome this problem, researchers created a web-based inventory system using the waterfall model and the CodeIgniter 4 framework. By using the waterfall method the model development process was carried out in stages so as to minimize errors. The aim of this research is to design and implement a web-based inventory system at CV Perdana Berkah Sejahtera. The stages of the waterfall method include needs analysis, system design, implementation, testing and maintenance. The results of this research are the creation of a web-based inventory application that is effective and efficient in managing stock of goods, so that it can reduce errors in recording, speed up the creation of goods data reports. This application has gone through various stages including the testing stage and this application shows good results in the stock management process.
Analisis Sentimen Program Makan Bergizi Gratis pada Podcast Bocor Alus Politik dengan Algoritma Naive Bayes Tuasamu, Abdulrahman; Gumilang, Rapanca Cahya; Fachrian, Mohammad Akmal; Krisnandi, Daiva Rakha; Indryani, Azizah Wardah; Hasan, Fuad Nur
Journal of Informatics, Electrical and Electronics Engineering Vol. 5 No. 2 (2025): December 2025
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/jieee.v5i2.2874

Abstract

The Free Nutritious Meal (MBG) program initiated by the elected administration has evolved into a strategic public policy, yet it has garnered diverse responses from various strata of society. These opinion dynamics are clearly evident through the high volume of interaction on social media, particularly within the comment section of the "Bocor Alus Politik" podcast on YouTube. This phenomenon reflects a significant polarization of public sentiment, which is crucial to map as a basis for evaluating government policy. This study is conducted with the primary objective of developing a sentiment analysis model capable of classifying public opinion regarding the MBG Program into two major categories, namely positive and negative sentiments, utilizing the Naive Bayes algorithm known for its effectiveness in text processing. The research methodology utilizes primary data in the form of collected public comments which undergo a systematic series of text preprocessing stages, including cleaning, tokenization, filtering, and vectorization, to prepare the data for processing. Model performance evaluation is subsequently conducted using the k-fold cross-validation method to ensure the reliability of the classification results. Experimental results indicate that the model successfully achieved an overall accuracy rate of 77.1%. In-depth analysis of per-class performance demonstrates that the model possesses a stronger capability in detecting negative opinions, evidenced by a precision of 0.795, recall of 0.884, and f1-score of 0.837, compared to positive sentiments (precision 0.701, recall 0.545, and f1-score 0.613). Based on these evaluation metrics, it can be concluded that the Naive Bayes algorithm proves to be sufficiently effective in classifying the direction of public sentiment, particularly in identifying public aspirations that are critical of the MBG program.
Analisis Sentimen Ulasan Aplikasi Maxim di Google Play Store Menggunakan Algoritma Support Vector Machine Nouval, Muhammad; Habibi, Fanza Maulana; Rahmi, Anisya; Bittaqwa, Muhammad Dawam Amru; Agustianto, Rizki; Hasan, Fuad Nur
sudo Jurnal Teknik Informatika Vol. 4 No. 4 (2025): Edisi Desember
Publisher : Ilmu Bersama Center

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56211/sudo.v4i4.1330

Abstract

Maxim merupakan salah satu aplikasi transportasi online yang banyak digunakan di Indonesia, sehingga ulasan pengguna menjadi sumber penting untuk mengetahui kualitas layanan. Penelitian ini bertujuan untuk menganalisis sentimen ulasan aplikasi Maxim di Google Play Store menggunakan metode lexicon based dan algoritma klasifikasi Support Vector Machine dan Naïve Bayes. Data sebanyak 400 ulasan diperoleh melalui teknik scraping, kemudian dilakukan tahap pre-processing yang meliputi cleaning, case folding, normalisasi kata, tokenizing, stopword removal, dan stemming. Pelabelan data ulasan dilakukan menggunakan lexicon based dengan tiga kelas sentimen, yaitu positif, netral, dan negatif, kemudian dilakukan validasi manual untuk meningkatkan akurasi label sentimen. Representasi fitur dilakukan menggunakan TF-IDF dengan parameter unigram dan min_df=2. Pengujian dilakukan dengan tiga skenario pembagian data, yaitu 80:20, 70:30, dan 60:40. Hasil penelitian menunjukan bahwa algoritma SVM memiliki performa yang lebih stabil dibandingkan Naïve Bayes berdasarkan nilai accuracy, precision, recall, F1-score, confusion matrix, dan cross validation.
Indonesia Analisis Sentimen Teknologi Ai Terhadap Desainer Grafis Menggunakan Naïve Bayes Dengan Metode Pengujian 10 Fold Cross Validation Qodri Nurfalah; Hasan, Fuad Nur
JURNAL TEKNIK INFORMATIKA UNIS Vol. 13 No. 1 (2025): Jutis (Jurnal Teknik Informatika)
Publisher : Universitas Islam Syekh Yusuf

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33592/jutis.v13i1.5442

Abstract

Penelitian ini diperuntukan untuk mengetahui sentimen para desainer grafis terhadap teknologi yang belum lama ini sedang di perbincangkan yaitu teknologi ai. Dengan menggunakan metode Naive Bayes dengan 10-Fold Cross Validation, penelitian ini meneliti bagaimana teknologi AI berdampak pada desainer grafis. Data dikumpulkan melalui crawling platform YouTube. Data yang di dapatkan dari crawling yaitu 1754 data. Dengan melalui tahap pre-processing yaitu, cleansing, tokenize, stopword, stemming, dan lemmatization Hasilnya menunjukkan 796 sentimen negatif dan 958 sentimen positif. Dengan menggunakan matrix confusion, evaluasi ini menunjukkan akurasi 73%. Akurasi tertinggi adalah di fold ke-2 (76%) dan terendah adalah di fold ke-6 (65%), dengan rata-rata akurasi 10 fold adalah 70%. Hasil penelitian menunjukkan bahwa Naive Bayes dengan Validasi Jalur Sepuluh Potongan dapat digunakan dengan cukup akurat untuk menilai sentimen teknologi AI terhadap desainer grafis. Dengan naïve bayes terbukti cukup bagus untuk efektifitas dalam klasifikasi sentimen komentar para desainer grafis
Co-Authors Ade Christian, Ade Ailsa, Raras Alfarizi, Faisal Antonius Yadi Kuntoro Atang Saepudin Bachtiar, Yusuf Bittaqwa, Muhammad Dawam Amru Dandi Rosadi Dini Nurlaela Dwi Yuni Utami Eka Kusuma Pratama Erni Erni Fachrian, Mohammad Akmal Fauzi Ahmad Muda Giovanni, Muhammad Arif Gumilang, Rapanca Cahya Habibi, Fanza Maulana Harefa, Kristine Hermawan, Muhamad Taufik Hikmah, Noer Indryani, Azizah Wardah Kartika Handayani Krisnandi, Daiva Rakha Laia , Metodius Modianus Lestari Yusuf Lila Dini Utami Maulana, Dimas Maulana, Dimas Arsya Mulya, Arga Budi Murmita, Fadli Santoso Nabilatul Adzra, Salsa Nouval, Muhammad Nurlaelatul Maulidah Nurlelah, Elah Panny Agustia Rahayuningsih Pratama, Mr. Aldiansyah Putra, Arya Ade Putra, Rifky Wahyu Eka Putravani, Adheiktyo Februarjuna Qodri Nurfalah Rahmat, Ferdy Rahmi, Anisya Ramadhan, Muhammad Ridwan Ramanda, Dea Renata, Cindy Riki Supriyadi Riska Aryanti Rizki Agustianto Santi Santi Sri Murni Taufik Hidayatulloh Tratama, Muhammad Aqshal Anindya tri wahyuni Tuasamu, Abdulrahman Yulianti Yulianti