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All Journal Jurnal Mantik Journal of Intelligent Decision Support System (IDSS) Journal Automation Computer Information System (JACIS) Jurnal Mandiri IT Journal Of World Science Jurnal Teknologi Sistem Informasi PROSISKO : Jurnal Pengembangan Riset dan observasi Rekayasa Sistem Komputer Journal of Artificial Intelligence and Digital Business Jurnal Masyarakat Madani Indonesia Jurnal Teknik Informatika dan Desain Komunikasi Visual
Arif, Zaenul
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Arts Humanities Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Health Professions Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Mathematics Mechanical Engineering Public Health Social Sciences

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Klasifikasi Status Stunting Balita Tegal Menggunakan Teknik Smote Pada Metode Naives Bayes Gaussain Januarto, Sigit; Murtopo, Aang Alim; Arif, Zaenul
RIGGS: Journal of Artificial Intelligence and Digital Business Vol. 4 No. 3 (2025): Agustus - October
Publisher : Prodi Bisnis Digital Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/riggs.v4i3.2349

Abstract

Stunting merupakan salah satu masalah kesehatan serius yang memengaruhi tumbuh kembang anak, terutama pada 1.000 Hari Pertama Kehidupan. Kota Tegal termasuk wilayah dengan prevalensi stunting yang cukup tinggi, sehingga diperlukan metode prediksi yang akurat untuk mendukung intervensi gizi tepat sasaran. Penelitian ini menggunakan metode Naive Bayes Gaussian untuk mengklasifikasikan status stunting balita berdasarkan data antropometri. Permasalahan ketidakseimbangan kelas pada dataset diatasi dengan teknik oversampling Synthetic Minority Over-sampling Technique (SMOTE) guna meningkatkan kemampuan model dalam mengenali kelas minoritas. Hasil pengujian menunjukkan bahwa model sebelum penerapan SMOTE memiliki akurasi rata-rata 91,58%. Setelah penerapan SMOTE, akurasi validasi silang meningkat menjadi rata-rata 96,28% dengan presisi 94,03%, recall 91,58%, dan F1-score 92,12%. Peningkatan ini membuktikan bahwa kombinasi Naive Bayes Gaussian dan SMOTE efektif untuk prediksi status stunting. Model yang dihasilkan berpotensi diimplementasikan sebagai sistem pendukung keputusan dalam deteksi dini dan pencegahan stunting di wilayah rawan
Application Of The User Experience Lifecycle Method On Thesis Data Processing Information System And Stmik Field Work Practice Report YMI Tegal Arif, Zaenul
Journal of World Science Vol. 1 No. 4 (2022): Journal of World Science
Publisher : Riviera Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58344/jws.v1i4.21

Abstract

Educational institutions really need a data processing information system in carrying out their work activities because they are seen to be more organized and directed with the support of adequate computer equipment. STMIK YMI Tegal is a computer-based high school, but at the UPT bureau of the library as the inventory and management of PKL and Thesis reports, there is no information system facility for processing data on PKL and Thesis report titles. In its management, it still uses the manual method, which is recorded in a ledger, so it feels slow and not well organized. So in this study, the author tries to create a Data Processing Information System for PKL Reports and Thesis, which is specifically to provide information on title data for PKL reports and Thesis to the academic community of STMIK YMI Tegal. The method used in this study is the User Experience Lifecycle method, which is the method proposed by Hartson and Pyla to develop user experience by focusing on usability and user experience aspects. This method is divided into four stages, namely analysis, design, prototype, and evaluation. With this PKL and Thesis Report Data Processing Information System, it is expected to be able to help the UPT Library bureau in processing PKL and Thesis report title data and make it easier for students to search for PKL or Thesis report titles online
Application of computer vision for face recognition using viola jones algorithm method Riyadi, Fajar Sugeng; Gunawan, Gunawan; Arif, Zaenul
Journal of Intelligent Decision Support System (IDSS) Vol 7 No 1 (2024): March: Intelligent Decision Support System (IDSS)
Publisher : Institute of Computer Science (IOCS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35335/idss.v7i1.204

Abstract

This research aims to develop a facial recognition system using computer vision technology by applying the Viola-Jones algorithm method. The main focus of this research is to improve accuracy and efficiency in face identification under various lighting conditions and face orientations. The Viola-Jones algorithm, known for its real-time object detection, was chosen for its efficiency in quickly identifying critical facial features. Through testing of various face datasets, the results showed that the system developed was able to recognize faces with a high level of accuracy, even in conditions of non-optimal lighting and various facial poses. The novelty of this research lies in the optimization of the parameters of the Viola-Jones algorithm to improve facial recognition performance, as well as its application in challenging dynamic environments. These findings make a significant contribution to the field of computer vision and facial recognition, offering more effective and efficient solutions for security and surveillance applications, as well as interactive applications that require fast and accurate facial identification.
Application of centroid and geometric mean methods for face recognition Nugroho, Bangkit Indarmawan; Khasanah, Apriliani Maulidya; Arif, Zaenul; Gunawan, Gunawan
Jurnal Mandiri IT Vol. 13 No. 1 (2024): July: Computer Science and Field
Publisher : Institute of Computer Science (IOCS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35335/mandiri.v13i1.300

Abstract

Face recognition is one of the most important areas in artificial intelligence and image processing, with wide applications from attendance system security to human-computer interaction. This study aims to overcome the difficulties in classifying student faces in an academic environment by applying and comparing centroid and geometric mean methods. Student face data was collected and processed through conversion to grayscale, pixel intensity normalization, and statistical analysis using both methods. The results showed that both methods had the same performance with 70% accuracy, 75% precision, 60% recall, and 66.67% F1-score. The application of this method can improve the efficiency and accuracy of attendance management and security in the campus environment, especially for institutions with limited resources.
Implementation of the Fuzzy Tsukamoto method to determine the amount of beverage production Surorejo, Sarif; Firmansyah, Muchamad Aries; Arif, Zaenul; Gunawan, Gunawan
Jurnal Mandiri IT Vol. 13 No. 1 (2024): July: Computer Science and Field
Publisher : Institute of Computer Science (IOCS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35335/mandiri.v13i1.302

Abstract

Optimization of the amount of beverage production by applying the Fuzzy Tsukamoto Method at PT. Sariguna Primatirta Tbk. This study aims to develop a predictive model that can assist companies in determining the optimal amount of beverage production, minimizing production costs, and maximizing customer satisfaction. The research method uses a quantitative approach with a combination design of experimental methods, quantitative analysis, and model validation, including the collection of historical data on production, market demand, and raw material availability, data pre-processing, selection of input and output variables, implementation of the Fuzzy Tsukamoto algorithm, and model evaluation with Mean Absolute Error (MAE) and Root Mean Squared Error (RMSE) metrics. The results showed that the Fuzzy Tsukamoto Method succeeded in determining the amount of beverage production with good accuracy, with an MAE of 0.25 and RMSE of 0.274 after the data was understated, proved effective in handling the uncertainty of market demand and providing optimal production recommendations based on fuzzy rules from expert knowledge. The implications of this research contribute to the scientific literature in the field of computer science and industrial management, as well as practical benefits for  PT. Sariguna Primatirta Tbk in improving its production effectiveness, with the potential to be adopted by similar industries to improve operational efficiency.
Implementasi Server Dengan Sistem Operasi Linux Debian Sebagai Pendukung Penerimaan Peserta Didik Baru Dengan Virtualbox Di SMK Bina Islam Mandiri Kersana Kabupaten Brebes Nugroho, Bangkit Indarmawan; Surorejo, Sarif; Santoso, Bayu Aji; Murtopo, Aang Alim; Syefudin, Syefudin; Arif, Zaenul; Kurniawan, Rifki Dwi; Karsidin, Karsidin; Adhi Santoso, Nugroho
Jurnal Teknik Informatika dan Desain Komunikasi Visual Vol 4 No 1 (2025): Jurnal Teknik Informatika dan Desain Komunikasi Visual
Publisher : Fakultas Komputer Dan Desain

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51792/yn6j9k73

Abstract

Every job that is done using computer network technology, the data that we input has actually entered the server computer. Thus the data that we have entered will be automatically saved to the server computer. The real conditions in the field are that there are several things that may cause the PPDB process at SMK Bina Islam Mandiri Kersana, Brebes Regency to be less effective. The main causes are Human Resources, Hardware, PPDB Process and Software. The design of the computer network that will be used as the object of this study, one of the topologies used is the star topology. The materials for designing the implementation of this server are the server computer, client computer, switch and PPDB application. To be able to connect to a network, here it is necessary to have a server IP address which will later be used to connect to other computers in this case the client computer. Previously, install Linux Debian using the VirtualBox application for the server, then configure the network until finished, connect the server computer to the client computer using the media, namely the UTP cable, after that on the client computer set the IP and open the browser to see the results. So it can be concluded that the server system for accepting new students can be done easily, as long as there is a will and perseverance in making it.
Co-Authors Aang Alim Murtopo Adhi Santoso, Nugroho Agustina, Catur Puji Andriani, Wresti Ariyani, Rizki Bangkit Indarmawan Nugroho Farkhan, Ali Firmansyah, Akhmad Lutfi Firmansyah, Muchamad Aries Gunawan Gunawan Hafid Subechi, Fadlan Januarto, Sigit Karsidin, Karsidin Khasanah, Apriliani Maulidya Kurniawan, Rifki Dwi Miftakhudin, Muhammad Nurokhman, Akhmad Riyadi, Fajar Sugeng Santoso, Bayu Aji Santoso, Nugroho Adh Sarif Surorejo Syefudin, Syefudin