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All Journal METHOMIKA: Jurnal Manajemen Informatika & Komputerisasi Akuntansi Journal of English Language Teaching and Learning (JETLE) Jurnal Pengabdian pada Masyarakat Ilmu Pengetahuan dan Teknologi Terintegrasi Jurnal Ilmu Komputer dan Sistem Informasi Jurnal Linguistik Terapan
Lely Indah Kurnia
Politeknik Negeri Malang
Automotive Engineering Computer Science & IT Economics, Econometrics & Finance Education Electrical & Electronics Engineering Languange, Linguistic, Communication & Media Library & Information Science

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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.
Analisis Kesalahan Gramatikal dan Diksi Bisnis dalam Pembelajaran Menulis Email Komersial Berbantuan Google Translate Lely Indah Kurnia; Kunti Eliyen; Mohammad Ridho’i
JLT Jurnal Linguistik Terapan JLT Volume 16 No 1, 2026
Publisher : UPT P2M Politeknik Negeri Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33795/jlt.v16i1.9970

Abstract

Penelitian ini bertujuan menganalisis jenis kesalahan gramatikal dan pilihan diksi bisnis pada draf email komersial mahasiswa vokasi yang disusun berbantuan Google Translate. Menggunakan metode deskriptif kualitatif, penelitian ini mengkaji 30 sampel email komersial yang diproduksi oleh mahasiswa Jurusan Akuntansi Politeknik Negeri Malang. Hasil temuan menunjukkan adanya kesalahan sistematis pada aspek struktural, seperti ketidaksesuaian tenses, kegagalan subject-verb agreement, serta pemilihan register kosakata bisnis yang kaku akibat penerjemahan harfiah (literal translation). Hasil ini berimplikasi pada perlunya intervensi pedagogis khusus mengenai strategi penyuntingan draf (post-editing) hasil terjemahan mesin pada mata kuliah bahasa Inggris bisnis. Kata Kunci: Analisis Kesalahan, Diksi Bisnis, Email Komersial, Google Translate, Komunikasi Berbantuan Komputer.
Pengembangan Sistem Informasi Manajemen Pemesanan Berbasis Website di UMKM Nenda Print Kunti Eliyen; Abidatul Izzah; Ellya Nurfarida; Lely Indah Kurnia; Agustono Heriadi; Dwi Rahma Fitriani
Jurnal Ilmu Komputer dan Sistem Informasi Vol. 5 No. 2 (2025): Mei 2026
Publisher : LKP Unity Academy

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70340/jirsi.v5i2.479

Abstract

Micro, Small, and Medium Enterprises (MSMEs) play a vital role in the Indonesian economy, but they often face challenges in managing order and financial data due to manual recording. This study aims to develop a website-based order and profit data recording information system for Nenda Print MSMEs to improve business management efficiency. The system development method includes needs analysis, system design, implementation, testing, and evaluation. The developed website-based system is equipped with features for customer data management, order recording, financial transaction recording, automatic profit calculation, and real-time presentation of reports and graphs. Test results show that the system is able to simplify the data recording process, reduce the risk of data loss, and accelerate sales and profit calculations.
Penerapan Teknologi Kecerdasan Buatan dalam Penyusunan Modul Instruksional Bahasa Inggris Bisnis bagi Dosen Vokasi Politeknik Negeri Malang: Application Of Artificial Intelligence Technology in Compiling Business English Instructional Modules for Vocational Lecturers at Politeknik Negeri Malang Lely Indah Kurnia; Kunti Eliyen
Jurnal Pengabdian pada Masyarakat Ilmu Pengetahuan dan Teknologi Terintegrasi Vol. 10 No. 2 (2026): June (In Progress)
Publisher : Politeknik Negeri Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33795/jindeks.v10i2.9969

Abstract

Akselerasi teknologi digital menuntut dosen pendidikan vokasi untuk memperbarui metodologi pengajaran Bahasa Inggris Bisnis agar tetap relevan dengan kebutuhan industri. Namun, banyak pendidik masih menghadapi hambatan teknis dan dilema etis dalam mengintegrasikan perangkat Artificial Intelligence (AI) secara produktif di kelas. Kegiatan ini bertujuan untuk meningkatkan kompetensi pedagogis digital dosen melalui optimalisasi pemanfaatan AI-powered tools dalam perancangan kurikulum. Program dilaksanakan menggunakan metode Participatory Action Research (PAR) yang meliputi tiga tahapan utama: analisis kebutuhan berbasis Technology Acceptance Model (TAM), implementasi intensif, dan evaluasi berkala serta pendampingan langsung. Hasil kegiatan menunjukkan peningkatan signifikan pada pemahaman teoretis dan keterampilan praktis peserta. Penerapan AI terbukti berhasil memangkas waktu penyusunan modul instruksional hingga 40% serta secara nyata meningkatkan interaktivitas materi pembelajaran korespondensi bisnis. Kegiatan ini berkontribusi pada pembentukan ekosistem akademik vokasi yang adaptif terhadap disrupsi teknologi global.
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 Abidatul Izzah Agustono Heriadi Ahmad Mustofa Ahmad Mustofa Bimo Setyawan Dwi Rahma Fitriani Ellya Nurfarida Kunti Eliyen Kunti Eliyen Mohammad Ridho’i Mohammad Ridho’i Rizqi Khoirunisa Seran, Yanuarius Subekhi Hadi Purnomo