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Gunawan Wibisono
Universitas Teknologi Yogyakarta
Agriculture, Biological Sciences & Forestry Humanities Biochemistry, Genetics & Molecular Biology 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 Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Materials Science & Nanotechnology Mathematics Mechanical Engineering Medicine & Pharmacology Nursing Physics Public Health Social Sciences Transportation Other

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Mengoptimalkan Big Data dan AI dalam Menentukan Calon Mahasiswa Berkualitas sebelum Seleksi Perguruan Tinggi Wibisono, Gunawan; Napitupulu, Heri
RIGGS: Journal of Artificial Intelligence and Digital Business Vol. 4 No. 4 (2026): November - January
Publisher : Prodi Bisnis Digital Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/riggs.v4i4.3375

Abstract

Dalam era digital, peningkatan jumlah pendaftar perguruan tinggi menimbulkan tantangan baru dalam proses seleksi mahasiswa. Metode konvensional yang hanya mengandalkan nilai akademik dan ujian tertulis sering kali belum mampu menggambarkan potensi calon mahasiswa secara menyeluruh. Oleh karena itu, penerapan Big Data dan Artificial Intelligence (AI) menjadi solusi inovatif untuk mengoptimalkan proses seleksi calon mahasiswa berkualitas sebelum tahap penerimaan resmi. Melalui pengolahan Big Data, berbagai informasi seperti nilai akademik, aktivitas ekstrakurikuler, rekam jejak digital, portofolio, hingga perilaku belajar daring dapat dianalisis secara komprehensif. Sementara itu, algoritma AI seperti machine learning dan predictive analytics mampu mengidentifikasi pola-pola tertentu yang berkorelasi dengan keberhasilan studi dan kontribusi mahasiswa di masa depan. Sistem ini memungkinkan perguruan tinggi untuk melakukan penilaian berbasis data secara objektif, cepat, dan efisien. Selain itu, integrasi AI juga dapat membantu memberikan rekomendasi personalisasi jalur penerimaan serta meminimalkan potensi bias manusia dalam proses seleksi. Implementasi teknologi ini tidak hanya meningkatkan kualitas input mahasiswa, tetapi juga mendukung terciptanya ekosistem pendidikan tinggi yang adaptif dan berorientasi pada data. Dengan demikian, optimalisasi Big Data dan AI berperan strategis dalam membangun sistem seleksi mahasiswa yang transparan, akurat, serta mampu memprediksi potensi akademik dan non-akademik calon mahasiswa secara lebih menyeluruh.
Understanding fintech excellence: A scholarly review of the diploma fintech model for effective global implementation Haripin, Haripin; Indraprakoso, Dondy; Wibisono, Gunawan; Utomo, Hargo
International Journal of Financial, Accounting, and Management Vol. 7 No. 3 (2025): December
Publisher : Goodwood Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35912/ijfam.v7i3.2825

Abstract

Purpose: This study examines the global Fintech phenomenon by reviewing research from several countries. It aims to identify best practices, involved journals, applied methods, and knowledge gaps that require further investigation. Methodology/Approach: A systematic literature review was conducted using journals from multiple international databases that discuss fintech practices worldwide. The analysis follows the DIPLOMA Model by Boratynska to systematically evaluate and synthesize the selected studies. Results/Findings: Based on the DIPLOMA Fintech Model, Indonesia emerges as the leading country in implementing fintech practices, fulfilling all five dimensions of the model. This achievement positions Indonesia as a potential benchmark for other countries aiming to strengthen their fintech ecosystems. Malaysia, China, and Brazil follow by meeting four dimensions, indicating strong development. The United Kingdom, Germany, Argentina, and South Africa fulfill three dimensions, reflecting moderate fintech maturity. Meanwhile, Sub-Saharan countries and Nigeria meet only one dimension, highlighting significant gaps in fintech readiness and infrastructure. Conclusion: Indonesia fulfills all five DIPLOMA dimensions, confirming its position as a global leader in fintech implementation and innovation. This illustrates Indonesia’s potential to serve as a reference for other countries. Limitations: This study is limited by the selection of countries from only four continents, excluding Australia. The use of a relatively small number of articles also indicates the need for broader literature coverage. Contribution: The study shows that fintech success is not solely determined by development level, but by a combination of supportive factors that enable even developing countries to excel.
Stabilisasi Tanah Gambut Dengan Geopolimer Hibrid Abu Terbang Dan Pasir Wibisono, Gunawan; Azizi, Wildan; Putra, Agus Ika; Satibi, Syawal; Olivia, Monita
Jurnal Bangunan, Konstruksi & Desain Vol 3 No 4 (2025): Desember 2025
Publisher : Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/jbkd.3.4.182-194.2025

Abstract

Peat soil has high water content and compression, and low bearing capacity. Peat soil stabilization is carried out to increase the bearing capacity, increase the density and strength of the soil. Geopolymer material is one of the materials for soil stabilization derived from basic materials activated with activator solutions such as sodium hydroxide and sodium silicate. This study aims to examine the unconfined compressive strength, average water content, and dry density of peat soil stabilized with a hybrid geopolymer mixture of fly ash and sand. The parameters studied were NaOH molarity of 10M, 12M, and 14M, and silicate modulus (Na2SiO3/NaOH ratio) of 1.5; 2.0; and 2.5. The results of the study showed that the highest unconfined compressive strength was obtained for a mixture with a silicate modulus of 2.5 (GP-12M-Ms2.5), which was 23.68 kPa at 28 days. Unconfined Compressive Strength (UCS) testing was conducted after the samples were cured for 7, 28, and 56 days. The unconfined compressive strength of the GP-14M-Ms2 mixture with a molarity of 14M was 23.68 kPa at 28 days. This is due to the geopolymerization reaction that releases OH- ions to dissolve silica and alumina in fly ash, and the silicate modulus (Ms) can increase the pH of the geopolymerization and bind soil particles better. The highest dry soil content was produced by the GP-12M-Ms2.5 mixture for 7, 28, and 56 days. Sand used in peat soil stabilization can help increase density because it can fill soil cavities.
Co-Authors Achmad B. Fathoni Adriansyah, Bagas Afandi, Mas Aly Afifah, Nisaul Aflakh Wijayanto, Naufal Agus Ika Putra Agus Rakhmadi Mido Agus S. Tamsir Alfani, Nezar Febri Alfian Malik Ananda, Yazid Fahmi Andrian, Jumigih Anjar Taufik Hidayat Ari Sandhyavitri Arief Hermawan Arif Amrulloh Ariffin Ariffin Arisky Arisonya, Susanti Armando, Richo Asta, Melsa Sentia Azizi, Wildan Boedi, Rizky M. Cahya Anggarakasih, Sabitya Candra Bamel Chafizh Hisbulloh, Dika Chusaeni, Amana F. Copricon, Deby Elfi Damayanti, Elok Daniel Simanjuntak, Daniel Darmawati Ayu Indraswari Dikpride Despa EIH Ujianto Elianora - Endang Sri Lestari Erik Iman Heri Ujianto Ermiyati Fadhlurrahman, Fadhlurrahman fakhri Fakhri, Fakhri Fata Allamsyah, M. Zahwa Fatonah, Uci Fauzi, Muhamad Rifki Febridiani, Lintang Dwi Ferdi Ferdi, Ferdi Ferry Fatnanta Fikra Titan Syifa Firman Maulana, Firman Fitri, Aidi Yani Fitriati Ghaly Al Ghifari, Muh. Naufal Grahita Aditya Gussyafri Haifan, Naufal Hargo Utomo Haripin, Haripin Herry Susanto Hibatullah, Irfan Hisbi Maulana, Muhammad I Ketut Budiasa Ikhram, Faisal Ikmah, Maghfiroh Nur Ikrammullah, Muhammad Imam Suprayogi Iman, Aphitz Maulana Indraprakoso, Dondy Indriyanto, Slamet Iskandar Iskandar Jala Tirta Segara, Alon Jamili, M Joehari Jufri, Afdirman Juliasman, Rendy Dwi Kurniasari, Marisa Wahyu Kurniawan, Taufiq Alif Kurniawati, Marhaeni Fajar Laksni Sedyowati Leo Sentosa Lubis, Shakila Fuadah Lulu Latif Usman, Muhammad Luthfwiedy Pratama, Dhiyaa M. Dian Rioputra Maulana, Zikri Maulidi, M Aldi Monita Olivia Muhamad Yusa Muhammad Arif Muhammad Hidayat Muhammad Ikhsan Muhardi Muhardi Muhardi Mulyono, Eliana Sachi Muria, Irfan Napitupulu, Heri Negara, Made Dwipa Novan, Andre Nugraha, Surya Nugroho, Kukuh Nurdin Nurdin Nurdin Nurhalisa, Siti Oktariyansa, Randy Oktaviana, Lutvi Tri Perani Rosyani Prabowo, Yoghi Bagus Pradana, Zein Hanni Priska Apnitami Purnomo S. Priambodo Puspitasari, Lisa Puspitasari, Tasia Rizky Putra, Gia Nugraha Putri, Addin Kurnia Putri, Diariza Dwi Randhi Saily Ria Larici, Ria Riska Fitriani S. Thya Safitri, S. Thya Safridatul Audah Sakahuni, Sakahuni Satibi, Syawal Sekar Mayangsari Septari, Dinda Setyawan, Reza Sevia Indah Purnama Sigit Pramono Skripsa, Tira H. Skripsa, Tira Hamdillah Soewignjo Agus Nugroho Solichah Larasati Solikhul Amin, Muhammad Sri Djuniati Sri Juniati Sufriady Syam Sukoco, Muhammad Helmi Sunarno Sunarno Susanto, Herry Syauqi Habibillah, Ade Taufiq A. Kurniawan Teguh Firmansyah Toni, Afriwan Tornando, Hengki Tri Waluyo Trihastuti Yuniati Ujianto, EIH Ulumuddin, Muhammad Ageng Wijoyo, Agung Wirayuda, Ricky Purnama Yenita Morena Yofani, Dhea Fitra Yoga Dwi, Farhan Yuda Permadi, Yuda YULIAN ZETTA MAULANA Z, Harist Febrie R