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All Journal Jurnal sistem informasi, Teknologi informasi dan komputer InfoTekJar : Jurnal Nasional Informatika dan Teknologi Jaringan Proceeding of the Electrical Engineering Computer Science and Informatics Konvergensi Tibuana : Journal of Applied Industrial Engineering Antivirus : Jurnal Ilmiah Teknik Informatika Jurnal Pengabdian kepada Masyarakat Nusantara Jurnal ABM Mengabdi Insand Comtech : Information Science and Computer Technology Journal Jurnal Pengabdian kepada Masyarakat (Ngabdimas) Journal of Artificial Intelligence and Digital Business Journal of Information Technology and Cyber Security
Said, Badar
Universitas Madura
Agriculture, Biological Sciences & Forestry Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Mathematics Social Sciences

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Decision Support System for Single Tuition Scholarship Awardees in Higher Education Using Mamdani Fuzzy Inference Kholifaturrahman, M.; Rachmatullah, Sholeh; Said, Badar
Journal of Information Technology and Cyber Security Vol. 1 No. 2 (2023): July
Publisher : Department of Information Systems and Technology, Faculty of Intelligent Electrical and Informatics Technology, Universitas 17 Agustus 1945 Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30996/jitcs.10009

Abstract

Universitas Madura implements the Single Tuition Fee (UKT) scholarship program in the Informatics department. The current UKT scholarship selection system uses a traditional model that is still not effective, causing obstacles such as inflexibility in registration time. The print-out documents are vulnerable to damage or loss and difficulty searching when it required. The criteria in the current system consisted of a minimum Grade Point Average (GPA) of 3, a letter of family condition, and also student status in semesters 3 to 7. The three criteria are not enough to determine a scholarship candidate. The recruitment process involves only the Head of the Study Program (Kaprodi). The Informatics study program still has many candidates applying for scholarships reaching around 280%. This research proposes a Decision Support System (DSS) using Fuzzy Mamdani with six criteria, including GPA, Achievement, Parents' Income, Parents' Dependents, Semester, and History of not receiving scholarships with the aim of overcoming these problems. The results show that the performance of the proposed SPK is very good, it is shown by the MAPE value of less than 10% and more efficient time than the current system. This system has also been in accordance with the required functions through the black test.
Enhancing Project Management and Monitoring with Precedence Diagram and Earned Value Method: A Case Study in Construction Rachmatullah, Sholeh; Said, Badar; Ramadhani, Nilam; Alvionita, Vina
Journal of Information Technology and Cyber Security Vol. 2 No. 2 (2024): July
Publisher : Department of Information Systems and Technology, Faculty of Intelligent Electrical and Informatics Technology, Universitas 17 Agustus 1945 Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30996/jitcs.11801

Abstract

An increasing number of projects has created challenges in effectively planning, organizing, and maintaining projects. Project planning becomes a crucial aspect of project management, particularly for monitoring progress and efficiently allocating resources. This study aims to implement the precedence diagram and earned value methods to enhance project management and monitoring. The predence diagram method is used to estimate project completion time, while the earned value method tracks time and budget according to project progress. In this case study, project management activities at CV. Firman Syah are observed. The development process starts with data collection and requirements analysis (functional and non-functional), followed by system architecture design using use case diagrams and Data Flow Diagram (DFD). The database is implemented using MySQL, and the application runs on an Apache web server. Vue.js is used for front-end development, while Lumen is employed for back-end development. The results of Black Box testing indicate that the application is capable of predicting project completion time and associated costs, as well as managing project data.
PERANCANGAN APLIKASI KLINIK UNIRA BERBASIS WEB UNTUK OPTIMALISASI PELAYANAN Syahroni, Abd. Wahab; Rofiq Hafsi, Ainur; Ramadhani, Nilam; Said, Badar
Antivirus : Jurnal Ilmiah Teknik Informatika Vol 16 No 2 (2022): November 2022
Publisher : Universitas Islam Balitar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35457/antivirus.v16i2.2425

Abstract

UNIRA Clinic still uses manual books in collecting data on its service activities. The services provided by the UNIRA Clinic include blood checks, blood pressure checks, and drug administration based on the patient's diagnosis. This study aims to design and build an application for the UNIRA Clinic that can assist in recording patient check up history and facilitate it in recapitulation so that it can be an answer to the shortcomings of recording patient check up manually using books. The application was built using the prototype method, database design using CDM and PDM, database implementation on MySQL, implementation of programming languages ​​with Javascript and PHP. Measurement of application use satisfaction using a Likert scale. Of the 10 respondents who have answered the questionnaire, it can be concluded that the respondents strongly agree that this application has been built in accordance with the existing system flow at the UNIRA Clinic with a Likert scale result of 98%.
Klasifikasi Kualitas Tembakau Madura Layak Panen Menggunakan Correlated Naïve Bayes Classifier(C-NBC) Said, Badar; Ubaidi, Ubaidi; Dewi, Nindian Puspa; Syahroni, Abd. Wahab; Darmawan, Irwan
RIGGS: Journal of Artificial Intelligence and Digital Business Vol. 4 No. 2 (2025): Mei - Juli
Publisher : Prodi Bisnis Digital Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/riggs.v4i2.869

Abstract

Pemanenan tembakau merupakan salah satu tahapan yang perlu perhatian lebih untuk mendapatkan kualitas yang baik. Penentuan waktu panen yang tidak tepat dapat mengakibatkan kurangnya kualitas pada warna dan aroma setelah tembakau dirajang dan dikeringkan, bahkan juga mengurangi bobot sehingga akan memperkecil nilai jualnya. Oleh sebab itu, untuk membantu para petani dalam menentukan waktu panen yang tepat dilakukan proses data mining dalam bentuk klasifikasi, dengan memperhatikan korelasi beberapa atribut dengan kelas yang telah ditentukan, yaitu layak panen dan tidak layak panen menggunakan metode Correlated Naïve Bayes Classifier(C-NBC). Penelitian ini menggunakan atribut tinggi pohon, lebar daun,panjang daun, jumlah daun, varietas, dan warna daun. Berdasarkan hasil ujicoba fungsionalitas menggunakan black box dapat diketahui bahwa aplikasi dapat berjalan dengan baik tanpa kesalahan, dan perhitungan akurasi klasifikasi dengan metode C-NBC menggunakan confusion matrix mencapai 77.3%.
Digitalisasi Rapor Madrasah: Pengembangan Platform Entry Nilai Berbahasa Arab Berbasis Web untuk MI Al-Islamiyah Galis, Pamekasan Ubaidi Ubaidi; Badar Said; Idon Joni; Nindian Puspa Dewi; Ukhti Raudhatul Jannah
NGABDIMAS UNIRA : JURNAL PENGABDIAN KEPADA MASYARAKAT UNIRA Vol. 6 No. 1 (2026): Pengabdian kepada Masyarakat (Ngabdimas)
Publisher : Universitas Madura

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

Abstract

Kegiatan pengabdian kepada masyarakat ini bertujuan untuk memberikan solusi digital bagi Madrasah Diniyah Takmiliyah Al-Islamiyah Galis, Kabupaten Pamekasan, dalam mengatasi permasalahan pengisian rapor siswa yang masih dilakukan secara manual dan menggunakan bahasa Arab. Kendala utama yang dihadapi adalah kesulitan guru dalam menyusun deskripsi penilaian berbahasa Arab secara konsisten dan akurat, yang berdampak pada keterlambatan administrasi, ketidakseragaman istilah, serta potensi kesalahan penulisan dan inkonsistensi data nilai. Sebagai solusi, tim pengabdi dari Universitas Madura merancang dan mengembangkan platform aplikasi berbasis web untuk memfasilitasi proses input nilai dan penyusunan deskripsi rapor secara terstandar. Sistem ini dilengkapi dengan pustaka istilah pendidikan berbahasa Arab, template deskripsi penilaian yang dapat disesuaikan, serta antarmuka yang ramah pengguna. Metode pelaksanaan meliputi analisis kebutuhan melalui observasi dan wawancara, perancangan dan pengembangan aplikasi, pelatihan guru, implementasi sistem di madrasah, serta evaluasi efektivitas penggunaan. Hasil yang diharapkan dari kegiatan ini adalah meningkatnya efisiensi dan efektivitas pengisian rapor, terjaminnya akurasi dan konsistensi data nilai siswa, serta meningkatnya literasi digital guru. Luaran kegiatan meliputi aplikasi web sistem rapor, modul pelatihan, laporan pengabdian, dan artikel ilmiah pada jurnal nasional terakreditasi.
Application of K-Means Clustering for Detection Downy Mildew at Madura Corn Plant Using Digital Image Processing Rosyadi NR, Imron; Prasetyowati, Erwin; Said, Badar; Arifin, Syaiful; Ridoni, Mohammad Syafiir
Tibuana Vol 6 No 2 (2023): Tibuana
Publisher : UNIPA PRESS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36456/tibuana.6.2.7845.147-152

Abstract

The development and cultivation of corn is necessary in line with the increasing consumption of food ingredients and industrial needs, especially food products made from corn. In the development of maize in Indonesia, the main obstacle is the disturbance of Plant Pest Organisms (OPT), especially diseases, one of which is downy mildew. This disease can be identified by a change in color, so we need a way to find out the difference between the color of healthy leaves and the color of leaves that have changed due to downy mildew. One solution that can be used is image processing. Therefore the aim of this study was to detect downy mildew based on leaf color in corn plants based on digital image processing, to produce precise and objective results. The algorithm used is the K-Means Clustering algorithm. This study uses 50 images of training data and 25 images of test data. Based on the simulation of downy mildew disease identification using K-Means Clustering it achieves an accuracy rate of 85%.  
Co-Authors -, Ruaidah Alvionita, Vina Andri Girindra Wardhana Arifin, Mohamamad Nazir Arifin, Syaiful Deny Sulistyowati Dewi, Nindian Puspa Dewi, Nindian Puspita Erwin Prasetyowati Faisal Estu Yulianto Fauzan Prasetyo Hari, Nirwana Haidar Idon Joni Ifon Farisi Purnama Irwan Darmawan Jannah, Ukhti Raudhatul Kholifaturrahman, M. Kurniyadhi, Prasetya Wahyu Moh . Zali Nindian Puspa Dewi Rachmatullah, Sholeh Ramadhani, Nilam Ridoni, Mohammad Syafiir Rofiq Hafsi, Ainur Rosyadi NR, Imron Ubaidi Ubaidi Ubaidi, Ubaidi Yaqin, Moh Ainul yulian Tri Wahyudi Yulianto, Faisal Estu