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All Journal Jurnal SIMADA (Sistem Informasi dan Manajemen Basis Data) Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi) Jurnal Computer Science and Information Technology (CoSciTech)
Yusril Haza Mahendra
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Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management

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Sistem Pendukung Keputusan Guru Terbaik Di MA Al-mannan Bagik Nyaka Dengan Menggunakan Metode Simple Additive Weighting (Saw) Zainuddin Nazri; Achmad Baijuri; Sunardi Sunardi; Yusril Haza Mahendra
Jurnal SIMADA (Sistem Informasi dan Manajemen Basis Data) Vol 6, No 2 (2023): Jurnal SIMADA (Sistem Informasi dan Manajemen Basis Data)
Publisher : Institut Informatika dan Bisnis Darmajaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30873/simada.v6i2.3856

Abstract

Abstract Dalam konteks ini, sistem pendukung keputusan muncul sebagai solusi penting dalam menghadapi lonjakan informasi dan teknologi. Madrasah Aliyah (MA) Al-mannan Bagik Nyaka, sebuah lembaga pendidikan di Lombok Timur, mempertimbangkan penerapan teknologi untuk memilih guru terbaik. Metode konvensional yang digunakan saat ini kerap menimbulkan kesalahpahaman di antara guru-guru. Oleh karena itu, adopsi teknologi pendukung keputusan dengan pendekatan Simple Additive Weighting (SAW) menjadi alternatif yang menjanjikan.Metode SAW digunakan untuk menilai dan memilih alternatif dalam kasus-kasus terbatas. Metode ini memberikan keunggulan dalam akurasi, dengan merangkul nilai kriteria dan bobot yang telah ditentukan sebelumnya. Kelebihan utama SAW terletak pada kemampuannya memilih alternatif terbaik berdasarkan perangkingan nilai tertinggi, setelah atribut dan bobotnya ditetapkan. Pendekatan ini juga meminimalkan waktu perhitungan.Implementasi teknologi pendukung keputusan dengan metode SAW akan memberikan solusi yang lebih efisien dan akurat dalam pemilihan guru terbaik di MA Al-mannan Bagik Nyaka. Ini akan membantu kepala sekolah dalam membuat keputusan yang lebih tepat, memberikan penghargaan kepada guru-guru yang berprestasi, dan mendorong peningkatan kualitas pengajaran. Dengan demikian, adopsi teknologi ini akan memainkan peran penting dalam mendukung kemajuan pendidikan di era modern ini.
Rancang Bangun Sistem Informasi Kependudukan dan Pelayanan Masyarakat Desa Sopet Kecamatan Jangkar Kabupaten Situbondo Mahendra, Yusril Haza; Baijuri, Acmad; Santoso, Firman
Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi) Vol 8 No 1 (2024): JANUARY-MARCH 2024
Publisher : Lembaga Otonom Lembaga Informasi dan Riset Indonesia (KITA INFO dan RISET)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/jtik.v8i1.1255

Abstract

This study aims to develop a population information system application and village services to improve population administration data processing in Sopet Village, Jangkar District. The village is currently still using manual paper forms in the population service process, which are prone to data loss and corruption. In this study, researchers designed and developed an application that allows easy access to population information and improves the efficiency of public services. The application development method involves the stages of needs analysis, system design, software development, and application testing. The application includes fast data retrieval features, secure data storage, and the ability to generate reports efficiently. In the long term, it is expected that this application will enhance the efficiency of population administration, reduce the risk of data loss or damage, and contribute to the improvement of village governance. This research has important implications for population administration at the village level. The implementation of this application is expected to serve as a model for other villages to adopt information technology, thereby enhancing the quality of population services and promoting development at the village level
Sistem Informasi Pendaftaran Dan Pendataan Berbasis Online di MA Ibrahimy Secang Banyuwangi Baijuri, Achmad; Haza Mahendra, Yusril
Computer Science and Information Technology Vol 5 No 1 (2024): Jurnal Computer Science and Information Technology (CoSciTech)
Publisher : Universitas Muhammadiyah Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37859/coscitech.v5i1.5142

Abstract

Abstract The registration stage is a very important first step in the process of entering the MA Ibrahimy Secang School. Currently, the MA Ibrahimy Secang School is still using the manual registration process as usual. Prospective students who wish to register must come directly to the school to collect the registration form and return it after filling it out. In addition, if a report is needed, the admin must check one by one the student data registered in the agenda book and make a report based on that information. To overcome this obstacle, it is necessary to develop an online registration system at the MA Ibrahimy Secang School. This system allows prospective students to register directly and get announcements without having to come to the school to pick up the form. The development of this system uses the waterfall method and involves the use of use case diagrams, class diagrams, and activity diagrams in system modeling. The result of this research is an online registration and data collection application.
Analisis Data Mining Untuk Deteksi Diabetes Mellitus Menggunakan Naïve Bayes Yusril Haza Mahendra; Ririen Kusumawati; Imamudin
Computer Science and Information Technology Vol 6 No 1 (2025): Jurnal Computer Science and Information Technology (CoSciTech)
Publisher : Universitas Muhammadiyah Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37859/coscitech.v6i1.7954

Abstract

Diabetes mellitus is a chronic disease with a continuously increasing global prevalence. it is characterized by high blood glucose levels due to the body's inability to produce or effectively use insulin. the widespread impact on individuals and communities underscores the importance of early detection and proper management. In the digital era, data mining analysis has become a crucial tool in healthcare, enabling the exploration and analysis of health data on a large scale to identify patterns and trends that are difficult to detect manually. in the context of detecting diabetes mellitus, data mining holds great potential for predictive model development. one of the algorithms used is naïve bayes. This study analyzes naïve bayes classification for early symptoms of diabetes mellitus, with the aim of enhancing understanding of risk factors and developing early detection tools. The research findings indicate that naïve bayes has the highest accuracy of 78% with the application of missing value imputation mean. It is hoped that this research will enhance efforts in preventing and managing diabetes mellitus, as well as reducing the burden on individuals and communities as a whole.
Co-Authors Achmad Baijuri Baijuri, Achmad Baijuri, Acmad Firman Santoso imamudin Ririen Kusumawati sunardi sunardi Zainuddin Nazri