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PENGEMBANGAN APLIKASI WEBSITE UNTUK SISTEM KEPEGAWAIAN YANG BERFOKUS PADA PENGELOLAAN CUTI PEGAWAI DI KOPERASI BMT MUBARAKAH KUDUS Fadhila, Vera; Hana, Fida Maisa; Saiful, Saiful ulya
Jurnal SISKOM-KB (Sistem Komputer dan Kecerdasan Buatan) Vol. 9 No. 1 (2025): Volume IX - Nomor 1 - September 2025
Publisher : Teknik Informatika, Sistem Informasi dan Teknik Elektro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47970/siskom-kb.v9i1.867

Abstract

Teknologi informasi saat ini telah berkembang pesat sehingga mendorong banyak instansi untuk beralih sistem manual dengan sistem digital, termasuk dalam pengelolaan cuti pegawai. Koperasi BMT Mubarakah Kudus masih menerapkan tahapan prosedur yang masih bersifat manual menggunakan perangkat lunak Microsoft Office dan surat menyurat dalam pengajuan cutinya, sehingga rentan menimbulkan resiko seperti kesalahan dalam pencatatan, keterlambatan serta ketidakefisienan administrasi. Penelitian ini bertujuan untuk merancang dan membangun sebuah aplikasi pengelolaan cuti pegawai yang berbasis website dan mampu dalam mengotomatiskan beberapa proses seperti proses pengajuan, persetujuan hingga proses pencatatan cuti pegawai. Metode yang digunakan dalam penelitian ini menggunakan metode waterfall, yang dimana terdiri dari tahapan analisis kebutuhan, desain, implementasi, pengujian dan pemeliharaan. Sistem yang telah dibuat ini lebih fokus untuk pegawai dan pengelolaan cuti dengan alasan menikah dan melahirkan, hasil dari penelitian ini berupa aplikasi website yang mudah digunakan/user-friendly, sehingga memungkinkan pegawai di BMT Mubarakah Kudus dapat mengajukan cuti, memantau status dan sisa cuti secara online. Selain itu, user manajer dan supervisor dapat mengelola data cuti yang lebih efisien dan akurat. Implementasi sistem ini dapat meningkatkan efisiensi kerja, transparansi dan akuntabilitas dalam pengelolaan cuti dikoperasi BMT Mubarakah Kudus.
Pengaruh Asisten Virtual Berbasis Artificial Intelligence Terhadap Integritas Sertifikasi Kompetensi Pemrograman secara Online Pujiono, Imam Prayogo; Rachmawanto, Eko Hari; Hana, Fida Maisa
Jurnal Kridatama Sains dan Teknologi Vol 6 No 01 (2024): JURNAL KRIDATAMA SAINS DAN TEKNOLOGI
Publisher : Universitas Ma'arif Nahdlatul Ulama Kebumen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53863/kst.v6i01.1052

Abstract

The use of virtual assistants based on Artificial Intelligence (AI) has shown a significant impact in various sectors, especially education. The presence of AI-based virtual assistants capable of answering questions from various topics creates new opportunities and challenges, especially regarding exams and assessments. This research examines the impact of using AI-based virtual assistants, specifically ChatGPT (GPT-4), on the integrity of programming competency certification carried out online. Through field experiments, the author took three online programming competency certifications related to "Python Fundamentals for Beginners", "Java Programming", and "Android Application Development" and used ChatGPT (GPT-4) to answer all exam questions. The test results show that GPT-4 successfully answered 9 out of 10 questions given in the three programming competency certifications that were taken and declared to have passed the exam. This raises serious questions about the validity of certificates obtained through competency certification which is carried out online. This research reveals that there is a need for more effective examination methods in assessing the true abilities of certification participants, such as project-based examinations, examinations using questions in video form, and interview-based examinations. This examination method will not only increase the credibility of online programming competency certification but also ensure that participants who pass the certification have expertise related to the field being tested. Further research is needed to explore the impact of AI-based virtual assistants in various educational contexts, especially on online competency certification.
Penerapan Algoritma ID3 Decision Tree Pada Klasifikasi Penyakit Diabetes Hana, Fida Maisa
Jurnal Dinamika Informatika Vol. 12 No. 2 (2023): Jurnal Dinamika Informatika Vol.12 No.2
Publisher : Universitas PGRI Yogyakarta

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

Abstract

A Blood glucose levels that exceed normal are a sign of diabetes mellitus (DM), a complex and chronic condition that requires ongoing medical care to reduce the risk of complications through glycemic control. In 2015, there are 10 million people in Indonesia who suffer from diabetes. The number of diabetics is increasing every year. The International Diabetes Federation estimates that the number of people in Indonesia who suffer from diabetes will increase to 16.2 million in 2040. To reduce the risk of complications in the future, diabetes must be detected early. One method that can be used to predict diabetes is the ID3 Decision Tree algorithm. The ID3 algorithm is an algorithm used to form a decision tree. From the test results, it produces a fairly large accuracy of 98.08% with a Precision of 96.88% and a Recall of 100%.