Article Per Year (5 Year)
p-Index From 2021 - 2026
0.562
P-Index
This Author published in this journals
All Journal METHOMIKA: Jurnal Manajemen Informatika & Komputerisasi Akuntansi Media Mahardhika Journal of English Language Teaching and Learning (JETLE)
Bimo Setyawan
Politeknik Negeri Malang
Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Languange, Linguistic, Communication & Media Social Sciences

Published : 4 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 4 Documents
Search

 1 
ANALISIS PERAMALAN MENGGUNAKAN ARIMA PADA INDEKS HARGA PERDAGANGAN BESAR INDONESIA KELOMPOK KOMODITI PERTANIAN TAHUN 2000-2019 Bimo Setyawan; Nur Indah Riwajanti; Sidik Ismanu
Media Mahardhika Vol. 18 No. 2 (2020): January 2020
Publisher : STIE Mahardhika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29062/mahardika.v18i2.148

Abstract

Purpose of this research was to forecasting analysis using arima in indonesia's big trade price index group of agricultural commodities in 2000-2019. In this study aims to see the forecast prediction on the Agricultural Commodity Big Price Index in the next 1 years. In Indonesian economy, indicators for looking at economic development in general and as an ingredient in market and monetary analysis are by measuring the average intertemporal price changes of a package of goods in wholesale trade. In Indonesia in the period of 2000 until 2019, agricultural commodities in the index The Big Trade Price is the most dominant commodity among other commodities. This study uses method the Arima model with several stages of identifying, estimating, diagnosing and forecasting. the results of this study have shown that the arima model can forecast in the agricultural sector.
Penerapan Sistem Persediaan Berbasis Microsoft Excel sebagai Solusi Peningkatan Efisiensi Pengelolaan Bahan Baku pada Perusahaan Konveksi di Lumajang Bimo Setyawan; Lely Indah Kurnia; Rizqi Khoirunisa; Ahmad Mustofa
METHOMIKA: Jurnal Manajemen Informatika & Komputerisasi Akuntansi Vol. 10 No. 1 (2026): METHOMIKA: Jurnal Manajemen Informatika & Komputersisasi Akuntansi
Publisher : Universitas Methodist Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46880/jmika.Vol10No1.pp90-97

Abstract

Penelitian ini bertujuan untuk menganalisis penerapan sistem persediaan berbasis Microsoft Excel dalam meningkatkan efisiensi dan Ketepatan Data pengelolaan bahan baku pada Konveksi di Lumajang. Perusahaan menerapkan sistem produksi berdasarkan pesanan dengan spesifikasi yang beragam, namun belum memiliki pencatatan penggunaan bahan baku secara rinci per pesanan sehingga menyulitkan dalam mengetahui pemakaian bahan, sisa stok, dan perhitungan harga pokok produksi secara akurat. Metode penelitian yang digunakan adalah pendekatan kualitatif deskriptif dengan teknik pengumpulan data berupa observasi, wawancara, dan dokumentasi. Hasil penelitian menunjukkan bahwa penerapan sistem berbasis Microsoft Excel yang terdiri dari master data, lembar transaksi, dan rekap stok otomatis mampu meningkatkan akurasi, efisiensi, serta kemudahan dalam pemantauan persediaan. Sistem ini berkontribusi dalam meningkatkan kemampuan Perusahaan dalam mengendalikan penggunaan bahan baku dan mendukung pengambilan keputusan secara lebih tepat. Namun, efektivitas sistem bergantung pada kedisiplinan pengguna dalam melakukan input data serta keterbatasan Excel dalam integrasi sistem.
Adaptive learning in vocational accounting education: Designing and validating AI-driven personalization for professional English mastery Lely Indah Kurnia; Ahmad Mustofa; Subekhi Hadi Purnomo; Bimo Setyawan; Mohammad Ridho’i; Kunti Eliyen; Yanuarius Seran
Journal of English Language Teaching and Learning (JETLE) Vol 8, No 1 (2026): Journal of English Language Teaching and Learning (JETLE)
Publisher : Universitas Islam Negeri Maulana Malik Ibrahim Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18860/jetle.v8i1.45866

Abstract

English for Specific Purposes (ESP) instruction within higher vocational accounting education often struggles with substantial baseline proficiency disparities and rigid, one-size-fits-all curriculum delivery that may increase cognitive demands. This study aimed to design, develop, and evaluate the Adaptive Professional English Learning System (APELS), a web-based intelligent learning platform integrating rule-based pedagogical routing and Natural Language Processing (NLP) to personalize ESP learning trajectories for accounting undergraduates. Employing a Design and Development Research (DDR) paradigm structured within the five-phase ADDIE framework, the prototype was engineered with smart diagnostic placement, dynamic skill mapping, automated formative feedback, and pedagogical tracking dashboards. System evaluation involved 37 vocational accounting undergraduates and three multidisciplinary expert validators (in ESP pedagogy, accounting education, and educational technology). Evaluation procedures comprised black-box functional validation, System Usability Scale (SUS) administration across all 40 participants, and empirical pre-test/post-test learning efficacy measurements administered to the 37 accounting undergraduates. The results demonstrated a 100% functional pass rate across all branching tracks, an exceptional usability rating with an average SUS score of 82.75 (Grade A / "Excellent"), and a significant increase in domain competency from a pre-test mean of 48.20 to a post-test mean of 84.60. The normalized gain index (g = 0.703) confirmed high instructional efficacy while reducing unproductive learning time by 34%. In conclusion, the integration of rule-based logic and domain-specific NLP feedback effectively accommodates learner heterogeneity, scaffolds professional writing and lexical acquisition, and enhances autonomous ESP competencies in vocational higher education. These findings offer critical pedagogical implications for vocational polytechnics seeking to scale adaptive, AI-augmented language environments that bridge foundational classroom instruction with workplace accounting standards.
Perancangan Sistem Informasi Pajak Pertambahan Nilai Berbasis Bisnis Proses Notasi pada Web Coretax DJP Ahmad Mustofa; Lely Indah Kurnia; Rizqi Khoirunisa; Bimo Setyawan
METHOMIKA: Jurnal Manajemen Informatika & Komputerisasi Akuntansi Vol. 10 No. 2 (2026): METHOMIKA: Jurnal Manajemen Informatika & Komputersisasi Akuntansi
Publisher : Universitas Methodist Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46880/jmika.Vol10No2.pp445-450

Abstract

Pajak Pertambahan Nilai (PPN) is a type of tax that plays a strategic role in state revenue, but its administrative process is complex and involves various integrated stages. With the implementation of the Core Tax Administration System (Coretax) by the Directorate General of Taxes as part of tax administration reform, an information system is needed that can represent PPN business processes clearly, structured, and in accordance with applicable tax regulations. The purpose of this study is to design a PPN information system based on business process modeling using the Business Process Model and Notation (BPMN) integrated with the Directorate General of Taxes' Coretax website. The method used is applied research with a descriptive qualitative approach. Data collection techniques include literature studies, tax regulation analysis, and document analysis related to the PPN administration process. Business process modeling is conducted using BPMN to illustrate the PPN process flow. The results of this study are expected to produce a design and BPMN that is easily understood by taxpayers.
Co-Authors Ahmad Mustofa Ahmad Mustofa Kunti Eliyen Lely Indah Kurnia Mohammad Ridho’i Riwajanti, Nur Indah Rizqi Khoirunisa Seran, Yanuarius Sidik Ismanu Subekhi Hadi Purnomo