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All Journal IAES International Journal of Artificial Intelligence (IJ-AI) Jurnal Informatika dan Teknik Elektro Terapan Global Medical and Health Communication Jurnal Sains Matematika dan Statistika Jurnal Sains dan Informatika BAREKENG: Jurnal Ilmu Matematika dan Terapan Al Qalam: Jurnal Ilmiah Keagamaan dan Kemasyarakatan JURNAL PENDIDIKAN TAMBUSAI Journal TEPAT: Teknologi Terapan untuk Pengabdian Masyarakat Jurnal Tarbiyah : Jurnal Ilmiah Kependidikan Jurnal Arajang GERAM (GERAKAN AKTIF MENULIS) Jurnal Keperawatan Dirgahayu (JKD) Dinasti International Journal of Economics, Finance & Accounting (DIJEFA) Tsaqafatuna: Jurnal Ilmu Pendidikan Islam Jurnal Applied Science in Civil Engineering JTEIN: Jurnal Teknik Elektro Indonesia Engineering, Mathematics and Computer Science Journal (EMACS) Jurnal Teknologi Sistem Informasi dan Sistem Komputer TGD Jurnal Arastirma Jurnal Peternakan Lokal Journal of Law, Administration, and Social Science Jurnal Bisnis Mahasiswa Environmental Pollution Journal Idarah Tarbawiyah: Journal of Management in Islamic Education EDUSTUDENT: Jurnal Ilmiah Pendidikan dan Pembelajaran Kandang : Jurnal Peternakan Jurnal Sains Informatika Terapan (JSIT) Jurnal Teknik Mesin Sinergi Practice of The Science of Teaching Journal: Jurnal Praktisi Pendidikan Journal of Comprehensive Science PENDALAS: Jurnal Penelitian Tindakan Kelas dan Pengabdian Masyarakat Governors Jurnal Keperawatan Universitas Jambi EJOIN : Jurnal Pengabdian Masyarakat Euclid ABDIMASY: Jurnal Pengabdian Kepada Masyarakat SERIBU SUNGAI: Journal of Research and Community Service Jurnal Pengabdian Masyarakat dan Riset Pendidikan Makkareso : Riset Pengabdian Masyarakat Parameter: Jurnal Matematika, Statistika dan Terapannya Indonesian Journal of Islamic Law (IJIL) AL-UKHWAH Jurnal Kebijakan Pembangunan Daerah (JKPD) Jurnal Keperawatan Universitas Jambi Ekonomipedia: Jurnal Ekonomi Manajemen dan Bisnis Jurnal Pendidikan Progresif Jurnal Sistem Komputer (SISKOM) Jurnal Gladiator Integrasi: Jurnal Studi Islam dan Humaniora Indonesian Journal of Aerospace Al-Kautsar: Knowledge Advancemenets in Teaching Strategies and Research Electrical Today
Muhammad Fajar
Halu Oleo University
Religion Aerospace Engineering Agriculture, Biological Sciences & Forestry Arts Humanities Astronomy Biochemistry, Genetics & Molecular Biology Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Dentistry Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Immunology & microbiology Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Mathematics Mechanical Engineering Nursing Physics Public Health Social Sciences Transportation Veterinary Other

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Forecasting Regional Economic Growth Using TVARX: Model Accuracy Evaluation in Banten Province Vega, Amelia; Fajar, Muhammad; Prayitno, Hendro; Afrianus, Erya
Parameter: Jurnal Matematika, Statistika dan Terapannya Vol 4 No 3 (2025): Parameter: Jurnal Matematika, Statistika dan Terapannya
Publisher : Jurusan Matematika FMIPA Universitas Pattimura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30598/parameterv4i3pp551-562

Abstract

Forecasting regional economic performance is essential for supporting timely and responsive policy planning. This study aims to forecast the Gross Regional Domestic Product at constant prices (GRDP) in Banten Province for the second to fourth quarters of 2025 using the Time-Varying Autoregressive model with Exogenous Variables (TVARX). The model incorporates household final consumption expenditure, gross fixed capital formation, exchange rates, and export values as exogenous variables. Model performance was evaluated by comparing combinations of training-testing data proportions (90:10, 80:20, 70:30, and 60:40) and two estimation approaches (local constant and local linear), using the Mean Absolute Percentage Error (MAPE) as the predictive accuracy metric. All variables were transformed into logarithmic form and differenced to ensure stationarity. The results indicate that the model using a 90:10 data split and the local linear estimation approach yielded the most accurate prediction, with the lowest MAPE value of 0.6%. The best-performing model was then applied to forecast out-of-sample GRDP CP for the next three quarters, with its year-on-year growth subsequently analyzed. These findings are expected to serve as a basis for data-driven economic analysis and support macroeconomic planning that is responsive to short-term structural dynamics.
Strategies for Addressing Radicalism and Extremism through Holistic and Comprehensive Education in Indonesia and Brunei Darussalam: (Strategi Penanggulangan Radikalisme dan Ekstremisme melalui Pendidikan Holistik dan Komprehensif di Indonesia dan Brunei Darussalam) Fajar, Muhammad; Ramadhan , Oktaviandi; Ferdi, Muhammad; Syafiq, Ahmad
Al Kautsar: Knowledge Advancements in Teaching Strategies and Research Vol. 2 No. 1 (2024): Al-Kautsar: Knowledge Advancements in Teacing Strategies and Research, January
Publisher : PT. Berkah Smart Academica

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.64093/al-kautsar.v2i1.120

Abstract

Artikel ini mengulas peran penting pendidikan Islam dalam merespons tantangan zaman modern, khususnya dalam menanggulangi isu radikalisme dan ekstremisme. Dengan menggunakan pendekatan interdisipliner, artikel ini mengeksplorasi bagaimana pendidikan Islam dapat menjadi solusi yang efektif terhadap persoalan tersebut. Fokus pembahasan diarahkan pada konsep-konsep utama dalam pendidikan Islam yang menekankan pemahaman agama yang benar, sikap toleran, pemikiran moderat, serta kemampuan untuk bersikap kritis terhadap pandangan ekstrem. Melalui pendekatan pendidikan yang sesuai, nilai-nilai seperti toleransi, keadilan, dan moderatisme dapat ditanamkan dalam diri generasi muda Muslim. Artikel ini juga menekankan pentingnya model pendidikan Islam yang inklusif, berlandaskan ajaran agama yang seimbang, serta mendorong pemikiran kritis. Penelitian dilakukan melalui studi pustaka dan analisis kontekstual untuk memberikan pemahaman yang lebih dalam mengenai peran pendidikan Islam dalam menghadapi tantangan kontemporer. Temuan dari penelitian ini menunjukkan bahwa pendekatan pendidikan Islam yang menyeluruh dan sesuai konteks dapat berperan penting dalam mencegah dan mengatasi paham radikal dan ekstrem. Artikel ini menawarkan perspektif baru bagi para pendidik, praktisi pendidikan, serta pembuat kebijakan dalam mengembangkan pendidikan Islam yang komprehensif demi membentuk generasi Muslim yang beradab dan berwawasan luas.
Sistem Prediksi Biaya Bulanan Peralatan Elektronik di Rumah Berdasarkan Kebiasaan Pengguna Menggunakan Algoritma Lstm Fajar, Muhammad; Susantok, Mochamad
Electrical Today Vol 1 No 02 (2025): Electrical Today: December 2025
Publisher : Asosiasi Material Terapan dan Teknologi (AMTT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.65794/J.Electo.1.02.90-100

Abstract

Konsumsi energi listrik rumah tangga yang tidak terpantau dapat menyebabkan pemborosan energi dan lonjakan biaya. Penelitian ini mengembangkan sistem prediksi biaya listrik bulanan berbasis algoritma Long Short-Term Memory (LSTM) menggunakan data real-time dari perangkat elektronik rumah tangga. Sistem memanfaatkan smartplug untuk merekam konsumsi daya per menit dan Node-RED sebagai platform visualisasi. Data melalui tahapan pre-processing, pembentukan time-series, pelatihan model, dan evaluasi menggunakan Mean Absolute Error (MAE) dan Root Mean Squared Error (RMSE). Hasil menunjukkan model LSTM mencapai akurasi 94,5% pada epoch ke-40 dengan RMSE 19.537,10 dan MAE 18.690,79. Sistem terintegrasi dalam dashboard Node-RED yang menyajikan visualisasi histori dan prediksi otomatis, membuktikan efektivitas pendekatan LSTM dalam membantu pengguna mengelola konsumsi energi rumah tangga.
ESTIMASI MATRIKS TRANSAKSI ANTAR SEKTOR TAHUN 2020 DI PROVINSI BANTEN FAJAR, MUHAMMAD
Jurnal Kebijakan Pembangunan Daerah Vol 5 No 2 (2021): Desember 2021
Publisher : Badan Perencanaan Pembangunan Daerah Provinsi Banten

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56945/jkpd.v5i2.126

Abstract

Due to the need for up-to-date economic indicators and data, estimates need that reflect regional economic conditions during the COVID-19 pandemic. Therefore, the purpose of this paper is to produce an estimate of the inter-sectoral transaction matrix (as part of the input-output table). The data used in this study are input-output tables in 2016 and GRDP in 2020, source from the Statistics Agency of Banten Province. The method used for estimation is the matrix transformation technique. The results of this study that the matrix transformation technique (MTT) method is easy to apply with limited data. The inter-sector transaction matrix estimated by the MTT can absorb the latest information. Although, there is still old information about the structure contained therein. Based on the comparison between the 2020 inter-sectoral transaction matrix and the 2016 inter-sector transaction matrix. It shows that the impact of COVID-19 has reduced production performance in various sectors.
DETERMINAN PERTUMBUHAN EKONOMI DI PROVINSI BANTEN Manurung, Wahyudi; Fajar, Muhammad; Noviar, Noviar
Jurnal Kebijakan Pembangunan Daerah Vol 6 No 2 (2022): Desember
Publisher : Badan Perencanaan Pembangunan Daerah Provinsi Banten

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56945/jkpd.v6i2.184

Abstract

Economic growth is one of the important indicators in ensuring the continuity of economic development and improving the welfare of a region. Although there have been many studies conducted at home and abroad on economic growth, not many studies have examined economic growth in Banten Province. This study aims to analyze the factors that influence economic growth in Banten. Data used in this paper are gross regional domestic product based on constant prices as a proxy for the economic growth, human development index (HDI), number of workers, degree of trade openness, gross fixed capital formation and actual government expenditures sourced from Statistics Indonesia (BPS). The method used in this sudy is panel data regression analysis at the cities level in Banten for 2010 to 2019. The results indicate that the human development index (HDI), number of workers, degree of trade openness and gross fixed capital formation have significant effects on economic growth. In contrast, actual government expenditures no significant impact on economic growth in Banten. .
Co-Authors Abdul Husain, Muhammad Abdul Rachman Abdullah, Ramadhani Aditama, Wahyu Afrianus, Erya Afriyanti, Desi Ahmad Luviadi Ahmad Musadad Ahmad Syafiq Akhiriyanto, Khafid Akmal, Muhammad Luthfi Alamsyah, Vandria alfira, alfira aliyah, faridatul Andi Chairil Ichsan Andrew Andrew, Andrew Andung Dwi Haryanto Angel Angel Anggraini, Nabila Aprida, Dini Ardo, Okilanda Ariffianto, Ony Arizal Eka Putra Armada, Ari Astuti, Putri Widiya Atmaja, Sigit Tri Azzahra, Bela Barkah, Lia Basorudin, Muhammad Bastoni, Bastoni Burhanurobbi, Irsyad Catherine, Ester Sara Clausthaldi, Fadhil Rizki Dian Syahfitri dila, farra Dillena, Kennith G.C. Fahmi Fahmi Fahmi Fahmi Faizah, NM Fajariyanto, Eko Fath, Muhammad Thoriq Al Fauyan, Muchamad Fauziah, Tiara Dilla Fazri AR, M. Rizal Ferdi, Muhammad Fitri Dian Perwitasari Fitri, Anisa Fratama Putra, Gimel Gunawan, Muhammad Isral Hajriani, Meilisa Halomoan, Abdul Hammam, Hammam Hamonangan, Jefri Abner Hardi, Rudi Hardiawanto, Pangestu Pradana Hasibuan, Gina Cynthia Raphita Herfia Rhomadhona Herman Nauwir Hermanzoni, Hermanzoni Hery Fajeriadi Hidayat, Kurnia Hudatwi, Mu'alimah Irawan, Yeyen Gustina Iriana, Nona ISLAMUL HADI Isma, Khilyatul Ismawati Ismawati Isra Thristy IZZAH, NURUL Jannah, Eneng Raudatul Jirana M , Nurul Juli Sardi Juliandra, Galih Juliandri Juliandri Kamil, Muflichan Karo Karo, Panser Kartika, Linda Khairul Anwar Hafizd, Khairul Anwar Khairunnisa, Nanda Khoirun Nasik Kustini, Rini Lubis, Apdi M. Rusydi Alwi M. Shoim Anwar, M. Shoim M. Sholihin M.Rizkal Fajri Manalu, Okto Dewi Sartika Manurung, Wahyudi Mardela, Romi Mardiah Astuti Mariska, Okky Maslachah, Cholilatul Mawansa, Akri Mayang Sari Mochamad Susantok Mu'affan, Muhammad Muhammad Hendra S Ginting Muhammad Muslim Muhammad Nurkholis Kholik Muhlisin, M Mustofa Mustofa Nasution, Dea Amanda Sari Nasution, Juan Akmal Nelvia Iryani Nisa, Nachdiatun Nofirda, Fitri Ayu Noviar, Noviar Nugroho, Anggi Septia Nur Azizah Nur Khaerah, Nur Nur Sakinah Nurfadly, Nurfadly Nurjannah Nurjannah Nurwandi, Rhefky Al Jihad Nuryaman Nuryaman OKTARIA, RINA RINA Pangkung, Andreas Parwati, Tri Ayu Pinindriya, Sinung Tirtha Pranidya, Cici Dwi Prayitno, Hendro Putra, Muhammad Amril Pratama Qawly, Hafiz Iftitah Rachmad, Sri Hartini Rahmadita, Nurmalia Rahmati, Pramita Dwi Ramadhan , Oktaviandi Ramadhan, Puji Sari Ramadhan, Rian Ramadiansyah, Mohamad Luthfi Ramaiyulis, Ramaiyulis Rici, Suchi Avita Rif’iyati, Dian Risma Apdeni Robbani, Hamdan Thufail RR. Ella Evrita Hestiandari Sadiqin, Ikhwan Khairu Safitri, Anggi Said, Awayundu Salvia Salvia Santoso, Ismawardi Septiana, Elyza Setiono, Michael Alvin Shintarahayu, Balqis Shofariyani, Shobah Siahaan, Muhammad Donni Lesmana Sidabutar, Rivaldi Soemaryanto, Arifin Rasyadi Sofiana, Elda Suhaila Husna Samosir Suparintina, Lucie Suri, Puti Andam Suryana, Icha Suryati Suryati Sya'ban, Muhammad Fuad Syahputra Mahmud, Surya Syahputra, Afit Syahputri, Astri Syarifuddin, T. Syubhan Annur, Syubhan Tanjung, Nanda Umroh Umroh Vega, Amelia Vira Noviana, Karisma Wibisono, Okki Navarone Wulandari, Meisy Yenita . Yudha Irhasyuarna Yuliana Sari Yumna, Isna Aulia Zahro, Umi Indasyah Zulkarnain, Akhmad