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All Journal METHOMIKA: Jurnal Manajemen Informatika & Komputerisasi Akuntansi Information System Journal (INFOS)
Risqiati Risqiati
Institut Widya Pratama
Computer Science & IT Economics, Econometrics & Finance

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KOMPARASI ALGORITMA NAÏVE BAYES DAN DECISION TREE UNTUK MENGANALISIS KEPUASAN MASYARAKAT DPMPTSP KABUPATEN BATANG Putri Rastya Rosmila; Risqiati Risqiati; Arief Soma Darmawan
Information System Journal Vol. 8 No. 02 (2025): Information System Journal (INFOS)
Publisher : Universitas Amikom Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24076/infosjournal.2025v8i02.2364

Abstract

Survei Kepuasan Masyarakat (SKM) merupakan instrumen evaluasi yang digunakan pemerintah untuk menilai kualitas pelayanan publik secara berkala. Penelitian ini bertujuan untuk mengklasifikasikan tingkat kepuasan masyarakat pada Dinas Penanaman Modal dan Pelayanan Terpadu Satu Pintu (DPMPTSP) Kabupaten Batang dengan menggunakan algoritma Naïve Bayes berbasis kerangka kerja CRISP-DM. Data penelitian berasal dari 330 responden SKM tahun 2024 yang menilai sembilan indikator pelayanan publik. Proses penelitian meliputi tahapan business understanding, data understanding, data preparation, modeling, evaluation, dan deployment. Hasil klasifikasi menunjukkan bahwa algoritma Naïve Bayes mencapai akurasi sebesar 65%, dengan performa terbaik pada kategori Sangat Puas. Analisis lebih lanjut mengidentifikasi bahwa variabel waktu penyelesaian dan kompetensi pelaksana memiliki pengaruh dominan terhadap tingkat kepuasan masyarakat. Temuan ini memberikan kontribusi ilmiah berupa penerapan klasifikasi berbasis data mining untuk mendukung pengambilan keputusan dalam peningkatan kualitas layanan publikdi masa mendatang.
Business Intellegenge untuk Perencanaan Strategi Pemasaran pada UMKM Sarung dengan Manajemen Dashboard Wahyu Setianto; Devi Sugianti; Ari Putra Wibowo; Risqiati Risqiati; Arief Soma Darmawan
METHOMIKA: Jurnal Manajemen Informatika & Komputerisasi Akuntansi Vol. 9 No. 2 (2025): METHOMIKA: Jurnal Manajemen Informatika & Komputersisasi Akuntansi
Publisher : Universitas Methodist Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46880/jmika.Vol9No2.pp220-225

Abstract

MSMEs are the backbone of the national economy, the government is trying to recover the economy after the Covid-19 pandemic by making a new breakthrough with digitalization. Digitalization helps MSMEs to process and analyze data for decision making. The data stored in the company is increasing, so it requires Business Intelligence to make it easier for companies to present information. MSME Abitex experienced problems in planning sales strategies by looking at interest in each city. The stages of research carried out were problem identification, data collection, design, manufacture, testing results. In identifying problems, problems were found in monitoring sales to create sales strategies, in data collection from 2021 to 2023. The number of transactions was 807 sales with 3 types of sarongs, a total of 14 sarongs produced. In designing using a star schema obtained from the sales fact table, time dim, customer dim, goods dim. Business intelligence can display data visualization by grouping by product, customer and by time, and can see interest in products in each city
Co-Authors Ari Putra Wibowo DARMAWAN, ARIEF SOMA Devi Sugianti Putri Rastya Rosmila Wahyu Setianto