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All Journal Media Penelitian Pendidikan : Jurnal Penelitian dalam Bidang Pendidikan dan Pengajaran Jurnal Sistem Cerdas Jurnal Algoritma
Wibisono, Bagas
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Automotive Engineering Computer Science & IT Control & Systems Engineering Education Electrical & Electronics Engineering

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Analisis Kemampuan Penalaran dan Pemecahan Masalah Matematika pada Siswa Bimbel SIBABA Yulfani, Siswi; Putra, Lisa Virdinarti; Akadiyaningsih, Dwi; Wibisono, Bagas; Nurohmah, Siti
Media Penelitian Pendidikan : Jurnal Penelitian dalam Bidang Pendidikan dan Pengajaran Vol 17, No 2 (2023)
Publisher : Universitas PGRI Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26877/mpp.v17i2.16487

Abstract

The purpose of this study was to analyze the ability to think mathematically and solve problems of students who are members of the SIBABA Bimbel. The research methodology used in this research is descriptive qualitative. Participants in this study were fifth grade elementary school students who were members of SIBABA Bimbel. Data is collected through observation, documentation and relevant references. Students are given tests that assess their reasoning abilities, problem-solving skills, and understanding of mathematics. Data analysis used is descriptive analysis. The results showed that students had difficulty in reasoning because they did not fully understand the concept of reasoning itself. This causes difficulties for students in solving problems, finding solutions, and answering questions. However, students were able to solve problems well and achieve all the maximum indicators, demonstrating their understanding of the form and meaning of problems and how to solve them. Therefore, further guidance in the aspect of reasoning is very important for student progress.
The Digital Transformation of Land and Building Tax Payments with Predictive Systems Wibisono, Bagas; Rohman, Abdul
Jurnal Sistem Cerdas Vol. 7 No. 3 (2024)
Publisher : APIC

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37396/jsc.v7i3.459

Abstract

Digital transformation in the tax payment sector is an essential step to enhance transparency and accountability. This research aims to develop and implement a predictive information system that can predict the payment behavior of Land and Building Tax in Village. The main problem faced is the often slow and non-transparent payment process, as well as the risk of errors or payment defaults. The developed information system uses historical data analysis methods with predictive algorithms to project the future behavior of taxpayers. This system is also equipped with a real-time validation feature to improve accuracy and efficiency in managing payment data. The results show that the predictive information system can provide early warnings related to payment delays and reduce potential errors in recording Land and Building Tax payments. In conclusion, the application of predictive technology in the Land and Building Tax payment system in Village successfully improves transparency, accountability, and efficiency, providing an innovative solution for village tax administration issues.
Sistem Pendukung Keputusan Pemantauan Stok dan Restok Otomatis Berbasis Web Wibisono, Bagas; Sanjaya, Ucta Pradema
Jurnal Algoritma Vol 22 No 1 (2025): Jurnal Algoritma
Publisher : Institut Teknologi Garut

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33364/algoritma/v.22-1.2301

Abstract

Permasalahan dalam pengelolaan stok sering kali disebabkan oleh keterlambatan pemantauan dan ketiadaan sistem yang memberikan rekomendasi restok secara akurat. Penelitian ini merancang dan mengimplementasikan sistem pendukung keputusan berbasis web untuk memantau stok dan merekomendasikan restok secara otomatis, dengan menggunakan Laravel Framework. Sistem ini menerapkan logika berbasis aturan (rule-based) dengan mempertimbangkan sisa stok, rata-rata penjualan harian, dan waktu pengiriman. Proses perhitungan membandingkan stok yang tersedia dengan kebutuhan minimum yang diprediksi dari pola penjualan historis. Metodologi pengembangan mengikuti model Waterfall. Hasil implementasi menunjukkan bahwa sistem mampu mempercepat proses pemantauan dan memberikan notifikasi restok yang akurat, serta mendukung pengambilan keputusan manajerial dalam distribusi produk. Sistem ini juga berhasil menekan jumlah barang kadaluarsa menjadi hanya 2%, yang menunjukkan peningkatan efisiensi distribusi. Antarmuka dashboard yang informatif turut mempermudah pemantauan kondisi stok secara real-time. Sistem ini memberikan kontribusi nyata dalam meningkatkan efisiensi dan akurasi manajemen inventaris.
Co-Authors Abdul Rohman Akadiyaningsih, Dwi Lisa Virdinarti Putra Nurohmah, Siti Sanjaya, Ucta Pradema Yulfani, Siswi