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Analisa Perancangan Sistem Pendukung Keputusan Penentuan Penerima Beasiswa Dengan Metode Analytical Hierarchy Process (Studi Kasus : STIKES BHAKTI HUSADA MULIA) Crismantoro Budisaputro
DoubleClick: Journal of Computer and Information Technology Vol 1, No 2 (2018)
Publisher : Universitas PGRI Madiun

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (245.384 KB) | DOI: 10.25273/doubleclick.v1i2.2144

Abstract

Pembagian beasiswa dilakukan oleh beberapa lembaga yang bertujuan untuk membantu seseorang yang kurang mampu namun memiliki prestasi. Sekolah Tinggi Ilmu Kesehatan Bhati Husada Mulia Madiun merupakan salah satu perguruan tinggi yang memberikan beasiswa kepada mahasiswa. Proses seleksi secara manual membutuhkan ketelitian dan waktu yang cukup lama, hal ini mengakibatkan lamanya proses pengambilan keputusan penerima beasiswa. Sistem Pendukung Keputusan (SPK)  penentuan mahasiswa penerima beasiswa akan mengolah data kriteria penerima beasiswa dengan Metode Analytical Hierarchy Process (AHP).  Hasil analisa dari metode AHP akan menentukan urutan kandidat yang bisa menerima beasiswa berdasarkan besarnya bobot kriteria. SPK penentuan mahasiswa penerima besiswa ini dibangun dengan perangkat lunak PHP dan database MySQL. Perancangan sistem menggunakan  Object Oriented Design dengan UML tools.
Pembuatan Sistem Pakar Diagnosa Prediksi Jenis Persalinan Dengan Metode Forward Chaining Crismantoro Budisaputro; Irmawati Mathar; Asasih Villasari
Digital Transformation Technology Vol. 3 No. 2 (2023): Artikel Periode September 2023
Publisher : Information Technology and Science(ITScience)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/digitech.v3i2.3351

Abstract

Salah satu faktor yang mempengaruhi tingginya angka kematian Ibu hamil adalah pengetahuan yang minim tentang proses persalinan. Data statistik menunjukkan bahwa angka kematian ibu hamil dari 100.000 kelahiran hidup adalah 305 kematian. Penelitian ini bertujuan untuk menerapkan metode forward chaining pada pengembangan sistem pakar untuk diagnosis jenis persalinan pada ibu hamil. Metode pengembangan sistem pakar yang digunakan pada penelitian ini adalah pemodelan Waterfall. Tahapan dalam metode waterfall adalah analisa, desain, dan implementasi. Hasil dari penelitian ini menunjukkan metode Forward Chaining dapat diterapkan pada pengembangan sistem pakar diagnosis prediksi jenis persalinan pada ibu hamil. sistem pakar yang dibangun dapat berjalan baik dengan menampilkan pertanyaan diagnosis dan hasil kesimpulan jenis persalinan. Hasil kesimpulan Solusi dapat  membantu ibu hamil dan tenaga kesehatan untuk memprediksi jenis persalinan yang akan dijalani sehingga ibu hamil dapat melakukan persiapan sejak dini.
BALON JOURNAL PENLIT, JIWA Anak TKW 2021 Eddy Wasito; Crismantoro Budisaputro
An Idea Health Journal Vol 2 No 01 (2022): FEBRUARY
Publisher : PT.Mantaya Idea Batara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53690/ihj.v3i01.77

Abstract

This research is a field study with the title Study on the Development of the Social Soul of Women's Child Labor using qualitative research approaches and inductive methods. The expected purpose of the research is to find out how the Development of Social Soul of Women child Labor Children and parenting patterns in Joho Village, Merchandise Subdistrict, Madiun Regency. The problem in this study is how is the development of Social Soul and childcare patterns of Women Workers in Joho Village, Merchandise Subdistrict, Madiun Regency?. Research data will be extracted from primary data sources and pseudo-data sources. While the methods used to collect data are methods of observation, interview and dukumentation. Based on the results of data collection, data analysis and discussion showed that the development of the Social Soul of Women's Child Labor is different from children who are always accompanied by their mothers. Childcare is better done by parents because the child's Social Soul Development will be able to develop more optimally in accordance with the rhythm of mental development and will lead the child to better growth, the child can be more independent and can socialize with the environment and be more responsible. While the development of the Social Soul of Women's Child Labor in general experiences psychological social barriers that will not interfere with their developmental tasks.
Pemanfaatan Kecerdasan Buatan sebagai Media Pendukung Pembelajaran bagi Guru SMK Gamaliel 2 Kota Madiun Crismantoro Budisaputro; Agustinus Kusdwiadji; Alim Citra Aria Bima; Moch Yusuf Asyhari
Indonesia Bergerak : Jurnal Hasil Kegiatan Pengabdian Masyarakat Vol. 4 No. 3 (2026): Juli: Indonesia Bergerak : Jurnal Hasil Kegiatan Pengabdian Masyarakat
Publisher : Asosiasi Riset Ilmu Teknik Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/inber.v4i3.1472

Abstract

One of the rapidly advancing Artificial Intelligence (AI) technologies is ChatGPT, an AI-based system capable of generating interactive text responses based on user prompts. Despite its potential to support teaching and learning activities, the utilization of AI technology at Gamaliel 2 Vocational High School (SMK Gamaliel 2), Madiun City, remains limited. Many teachers have not yet optimally adopted AI-based applications due to limited knowledge, skills, and experience in using such technologies. To address this issue, a training program was conducted to improve teachers' digital literacy and competence in utilizing AI as a learning support tool. This community service activity aimed to introduce the ChatGPT platform as an AI-based learning support tool for teachers. The training methods consisted of lectures, discussions, hands-on practice, and evaluation of participants' practical performance. The effectiveness of the training was evaluated quantitatively using pre-test and post-test instruments. The evaluation results demonstrated a substantial improvement in teachers' ability to use ChatGPT, increasing from 11% before the training to 100% after the training. Furthermore, for the statement "Teachers know how to provide prompts to ChatGPT," the pre-test results showed that none of the participants (0%) understood how to formulate prompts, whereas the post-test results indicated that all participants (100%) had acquired this competency. These findings demonstrate that the training effectively enhanced teachers' knowledge and practical skills in utilizing ChatGPT as a learning support tool