Article Per Year (5 Year)
p-Index From 2021 - 2026
3.295
P-Index
This Author published in this journals
All Journal IAES International Journal of Artificial Intelligence (IJ-AI) snimed Jurnal Ilmiah Rekayasa dan Manajemen Sistem Informasi Jutisi: Jurnal Ilmiah Teknik Informatika dan Sistem Informasi Indonesian Journal of Business Intelligence (IJUBI) REMIK : Riset dan E-Jurnal Manajemen Informatika Komputer Jurnal Sosial dan Teknologi Jurnal Ilmiah SIGMA: Informatics Engineering Journal of UPB Jurnal Pengabdian Pelitabangsa Jurnal Lentera Pengabdian Jurnal Pelita Pengabdian SAINTEK LAN TABUR: JURNAL EKONOMI SYARIAH
Muhammad Najamuddin Dwi Miharja
Universitas Pelita Bangsa
Religion Aerospace Engineering Agriculture, Biological Sciences & Forestry Arts Humanities Astronomy Automotive Engineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Energy Engineering Environmental Science Industrial & Manufacturing Engineering Law, Crime, Criminology & Criminal Justice Public Health Social Sciences Other

Published : 24 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 24 Documents
Search

 1   2   3 
Implementasi Sistem Prediksi Harga Motor Bekas Menggunakan Algoritma Categorical Boosting Fathia Wardah S. Djawas; Muhammad Najamuddin Dwi Miharja; Nanang Tedi K
Jutisi : Jurnal Ilmiah Teknik Informatika dan Sistem Informasi Vol 15, No 3 (2026): Juni 2026
Publisher : STMIK Banjarbaru

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35889/jutisi.v15i3.3730

Abstract

This study is intended to design a web-based system for predicting used motorcycle prices by employing the Categorical Boosting (CatBoost) algorithm. The research problem stems from the subjective process of setting used motorcycle prices, which is affected by multiple factors and frequently results in inaccurate price estimates. The research methodology covers data collection from the OLX Indonesia platform, followed by data preprocessing, feature engineering, data partitioning with a train–test split approach, and model construction using the CatBoost Regressor algorithm. The experimental results indicate that the prediction model attains a coefficient of determination of 0.9166 on the training set and 0.9149 on the test set. These findings suggest that the model performs well, accounting for more than 91% of the variance in used motorcycle prices and producing stable price predictions without notable overfitting. The system is deployed using Streamlit, enabling users to obtain used motorcycle price predictions in a faster, interactive, and more objective manner.Keywords: Used Motorcycle; Machine Learning; CatBoost; Streamlit AbstrakPenelitian ini dimaksudkan untuk merancang sebuah sistem prediksi harga motor bekas berbasis web dengan memanfaatkan algoritma Categorical Boosting (CatBoost). Permasalahan penelitian berangkat dari praktik penentuan harga motor bekas yang masih bersifat subjektif dan dipengaruhi beragam faktor sehingga kerap menghasilkan estimasi harga yang kurang akurat. Metode yang digunakan mencakup pengumpulan data dari platform OLX Indonesia, preprocessing data, feature engineering, pembagian data menggunakan skema train–test split, serta pemodelan dengan algoritma CatBoost Regressor. Hasil pengujian memperlihatkan bahwa model prediksi memperoleh nilai koefisien determinasi (R²) sebesar 0,9166 pada data latih dan 0,9149 pada data uji. Temuan ini mengindikasikan bahwa model memiliki kinerja yang baik, karena mampu menjelaskan lebih dari 91% variasi harga motor bekas serta menghasilkan prediksi yang konsisten tanpa gejala overfitting yang berarti. Sistem kemudian diimplementasikan menggunakan Streamlit sehingga pengguna dapat memperoleh estimasi harga motor bekas dengan lebih cepat, interaktif, dan bersifat lebih objektif. 
Digitalization and Sharia Financial Literacy as Strategies for MSME Empowerment in Bekasi Regency Mohammad Hatta Fahamsyah; Muhammad Najamuddin Dwi Miharja; Adrianna Syariefur Rakhmat; Muhammad Hamdan Ainulyaqin; Gina Nopiyanti
Lentera Pengabdian Vol. 4 No. 03 (2026): Juli 2026
Publisher : Lentera Ilmu Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59422/lp.v4i03.1386

Abstract

Micro, Small, and Medium Enterprises play an important role in supporting regional economic development; however, they continue to face challenges related to digital technology adoption and effective financial management. Limited digital literacy and insufficient understanding of sharia-based financial practices often hinder business competitiveness and sustainability. This community service program aimed to enhance the capacity of business owners in utilizing digital technology for marketing activities and implementing sharia-based financial management practices to support sustainable business growth. The program was conducted on June 6, 2026, in Bekasi Regency and involved fifteen micro, small, and medium enterprise owners. The methods employed included socialization, training sessions, hands-on practice, mentoring, and evaluation through pre-activity and post-activity assessments. The training materials covered digital marketing strategies, the use of social media and online marketplaces, digital financial recording, and financial management based on sharia principles. The results demonstrated a significant improvement in participants' understanding of business digitalization and sharia financial management. Participants showed increased ability to utilize digital platforms for marketing, operate digital bookkeeping applications, and manage business finances more systematically. Furthermore, most participants successfully implemented digital marketing practices and financial recording systems in their business operations. The program indicates that the integration of digitalization and sharia-based financial management can effectively improve the capacity, competitiveness, and sustainability of micro, small, and medium enterprises.
Artificial Intelligence Readiness, Digital Infrastructure, and Sustainable Profitability: Evidence from Bank Syariah Indonesia Mohammad Hatta Fahamsyah; Dian Sulistyorini Wulandari; Muhammad Najamuddin Dwi Miharja; Listian Indriyani Achmad; Nizar Febriana; Rifki Saputra
Lan Tabur: JURNAL EKONOMI SYARIAH Vol. 8 No. 1 (2026): September
Publisher : LAN TABUR: Jurnal Ekonomi Syariah The Islamic University of KH. Achmad Muzakki Syah Jember, East Java. Jember Jln. Manggar Gebang Poreng 139A Patrang Jember Jawa Timur

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53515/lt.v8i1.212

Abstract

Introduction: The rapid advancement of Artificial Intelligence (AI) and digital transformation has significantly reshaped the Islamic banking industry, requiring financial institutions to strengthen technological capabilities while maintaining sustainable performance. This study aims to examine the effects of Artificial Intelligence Readiness and Digital Infrastructure on the Profitability of Islamic Commercial Banks in Indonesia, with Sustainability Performance serving as a mediating variable. Methods: This study employs a quantitative explanatory research design using secondary panel data collected from the Annual Reports, Sustainability Reports, and audited financial statements of Islamic Commercial Banks in Indonesia during the 2020–2025 period. Artificial Intelligence Readiness, Digital Infrastructure, and Sustainability Performance are measured using disclosure indices developed through content analysis, while Profitability is measured using Return on Assets (ROA). The data are analyzed using panel regression and mediation analysis. Results: The findings indicate that Artificial Intelligence Readiness and Digital Infrastructure positively influence Sustainability Performance. Furthermore, Artificial Intelligence Readiness, Digital Infrastructure, and Sustainability Performance have positive and significant effects on profitability, indicating that sustainability performance partially mediates the relationship between digital capabilities and financial performance. These findings demonstrate that technological readiness and digital infrastructure contribute to improving operational efficiency, governance quality, and the long-term financial performance of Islamic Commercial Banks. Conclusion and Suggestion: The study concludes that integrating AI readiness with robust digital infrastructure supports sustainable profitability through improved sustainability performance. Islamic Commercial Banks are therefore encouraged to strengthen investments in AI technologies, digital infrastructure, and sustainability initiatives as integrated strategic priorities. Future research is recommended to expand the observation period, include cross-country Islamic banking data, and incorporate additional variables such as digital innovation capability, cybersecurity readiness, and corporate governance to provide a broader understanding of sustainable digital transformation in the Islamic banking sector.
Evaluasi Kematangan Penanganan Insiden Insider Threat Nirteknis Berdasarkan NIST SP 800-61: Studi Kasus Pekerja Non-AD di Industri Manufaktur Energi Muhammad Syahdan Junus; Muhammad Najamuddin Dwi Miharja; Hendra Arya
Jurnal Sosial Teknologi Vol. 6 No. 8 (2026): Jurnal Sosial dan Teknologi
Publisher : CV. Green Publisher Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59188/jurnalsostech.v6i8.32966

Abstract

Ancaman dari dalam (insider threat) selama ini dikaji hampir secara eksklusif pada pekerja pengetahuan yang memiliki akses terhadap sistem digital, sehingga strategi mitigasi didominasi oleh kontrol teknis berbasis identitas dan akses. Celah konseptual muncul pada organisasi dengan populasi pekerja non-digital, di mana kontrol konvensional menjadi tidak berlaku. Penelitian ini mengevaluasi penanganan insiden insider threat nirteknis di PT X, perusahaan manufaktur energi, yang melibatkan mantan pekerja non-Active Directory (non-AD) yang merekam dan memublikasikan area produksi. Dengan pendekatan kualitatif studi kasus deskriptif, penanganan insiden dipetakan ke dalam empat fase kerangka NIST SP 800-61, dinilai kematangannya pada skala 1–5, dan diukur efektivitasnya melalui empat parameter. Hasil penelitian menunjukkan seluruh fase memperoleh skor identik pada tingkat 2 (Initial/Ad Hoc), yang berarti aktivitas penanganan berlangsung tanpa prosedur terdokumentasi dan bergantung pada inisiatif individual. Respons cepat (0 hari) dan keberhasilan penindakan (H+1) tidak diimbangi dengan kepatuhan prosedur dan pelembagaan pembelajaran pasca-insiden. Penelitian ini menyimpulkan bahwa pada populasi non-AD, kematangan penanganan insiden tidak ditentukan oleh kecanggihan kontrol teknis, melainkan oleh kekuatan penegakan kontrol administratif dan fisik. Temuan ini memberikan implikasi bagi organisasi dengan tenaga kerja non-digital untuk mengalihkan fokus penguatan keamanan dari dimensi teknis ke dimensi prosedural dan struktural.
Co-Authors Abdul Ghofir Aceng Badruzzaman Aditia, Sultan Adrianna Syariefur Rakhmat Aguswin, Ahmad Ahmad Fatih Ahmad Fauzi Annafi’ Franz Annisa Maulana Majid Ari Almali Bari Asep Supriyanto Dede Setiawan Dian Sulistyorini Wulandari Dina Faradilla Erlina Widayanti Ermanto Ermanto Fahamsyah, Mohammad Hatta Fathia Wardah S. Djawas Gina Nopiyanti Hendra Arya Isarianto, Isarianto Listian Indriyani Achmad Muhammad Hamdan 'Ainulyaqin Muhammad Rifa'i, Anggi Muhammad Syahdan Junus Nanang Tedi K Nandhito Kuslesmana Nizar Febriana Perdana Ricardo Rensi Suryanti Rifki Saputra Shohibul Adhkar Soma Setiawan Ponco Nugroho Suprapto Syifa Aulia Tri Sasongko, Ananto Turmudi Zy, Ahmad Tyo Repsi Harta Sanjaya Wiyanto Yahya, Adibah