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Gunawan Wibisono
Universitas Teknologi Yogyakarta
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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.
ANALISIS DAYA DUKUNG DAN PENURUNAN TIANG PANCANG TERHADAP HASIL PDA PADA PROYEK SPAM PEKANBARU-BANGKINANG Arifin, Arifin; Yusa, Muhamad; Wibisono, Gunawan
Jurnal Teknik Sipil dan Arsitektur Vol 31 No 1 (2026): Jurnal Teknik Sipil dan Arsitektur
Publisher : Fakultas Teknik Universitas Tunas Pembangunan Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36728/jtsa.v31i1.5827

Abstract

The drinking water supply system (SPAM) is an infrastructure facility specifically designed to provide clean and safe drinking water that meets established health standards. In this project, the construction buildings utilize foundations in the form of piles and bored piles, which serve as essential structural elements to support and distribute loads from the columns to the underlying hard soil layer. A properly designed foundation ensures the stability and durability of the overall structure. This study aims to analyze and determine the bearing capacity of the foundation using several analytical approaches, namely the Meyerhoff, Reese & Wright, and Luciano Decourt methods, while the settlement analysis is carried out using the Fellenius and Vesic methods. The research was conducted in Kampar Regency, Riau Province, Indonesia. The data used in this analysis include Standard Penetration Test (SPT) data and Pile Driving Analyzer (PDA) test results obtained from field observations. The calculation results indicate that the bearing capacity obtained from the Meyerhoff method is 103 tons, Reese & Wright 176 tons, Luciano Decourt 353 tons, and PDA 204 tons. Meanwhile, the settlement results show values of 10.7 mm for the Fellenius method, 16.05 mm for the Vesic method, and 14.5 mm for PDA measurements.
The Influence of Digital Literacy and Social Media Utilization on the Marketing Performance of E-Commerce-Based MSMEs in Indonesia Lestari, Dewi Ayu; Setyawan, Rachmat; Wibisono, Gunawan; Abidin, Muhammad Zainal
Jurnal Ilmiah Manajemen, Ekonomi dan Bisnis Vol. 4 No. 3 (2025): OKTOBER | JIMEB : Jurnal Ilmiah Manajemen, Ekonomi, Bisnis
Publisher : Universitas Sains dan Teknologi Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51903/gq47ng96

Abstract

Micro, Small, and Medium Enterprises (MSMEs) are a major contributor to Indonesia's economy, but they still struggle to adapt to the digital and social media environments. The thrust of this research stems from the observation that, despite e-commerce being a clear-cut, wide-open opportunity for MSME activity, the general level of digital literacy and social media optimization among MSMEs is quite low. This study aims to examine how digital literacy and social media use influence marketing performance among e–commerce–based MSMEs in Indonesia. A mixed-method explanatory sequential approach was used in the study, which involved a quantitative survey of 150 MSMEs and in-depth interviews with 15 MSME owners. Quantitative data were analyzed using multiple linear regression, and qualitative data were examined through thematic analysis. This data indicates that digital literacy (β = 0.312; p < 0.05) and social media use (β = 0.428; p < 0.05) have significant effects on marketing performance, with an R² value of 0.56. Social media is the dominant factor in expanding market reach, while digital literacy improves MSMEs' capacity to manage technology-based marketing. The main contribution of the study is the joint analysis of digital literacy and social media, which have mostly been studied separately in prior research. The findings showed that digital literacy should be seen as the foundation, while social media is the primary tool for marketing. In practice, the research offers recommendations for MSMEs, policymakers, and business facilitators on designing integrated training programs that combine digital skills with online promotion strategies.
Correlation of CBR Values and Mackintosh Probe on Clay Soil with Variations of Bentonite, Kaolin and Sand Nugroho, Soewignjo Agus; Fatnanta, Ferry; Wibisono, Gunawan; Muliyono
Journal of Geoscience, Engineering, Environment, and Technology Vol. 10 No. 4 (2025): JGEET Vol 10 No 04 : December (2025)
Publisher : UIR PRESS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25299/jgeet.2025.10.4.24252

Abstract

Coastal areas are typically characterized by non-uniform soil properties, often featuring soft, water-saturated soils with high plasticity, which frequently results in low soil bearing capacity. This study aims to investigate the relationship between California Bearing Ratio (CBR) values and Mackintosh Probe (MP) test results by utilizing a mixture of clay soil comprising bentonite and kaolin with sand in various compositions. These mixtures were prepared as laboratory test samples to simulate the soil conditions in these areas. The primary objective of this research is to develop a faster and more efficient alternative method for estimating soil bearing capacity in coastal regions. A total of 81 samples were prepared with variations in moisture content, compaction levels, and the composition of sand and clay mixtures. Testing was conducted using both CBR and MP methods. The analysis revealed a significant positive correlation between MP and CBR values, represented by the linear regression model: CBR = 0.7498 * MP, with a coefficient of determination (R²) of 0.9542. This indicates that approximately 95.42% of the variation in CBR values can be predicted from the MP test results. The model's accuracy was further validated through training and testing using 5 randomly selected data points from the sample set. The findings suggest that the Mackintosh Probe can serve as a preliminary tool for estimating soil bearing capacity in coastal areas, particularly in field conditions where laboratory equipment is limited. However, for broader applicability, further validation of this model is necessary to accommodate more complex soil conditions in the field.
ANALISIS DAYA DUKUNG DAN PENURUNAN TIANG PANCANG TERHADAP HASIL PDA PADA PROYEK SPAM PEKANBARU-BANGKINANG Arifin, Arifin; Yusa, Muhamad; Wibisono, Gunawan
Jurnal Teknik Sipil dan Arsitektur Vol 31 No 1 (2026): Jurnal Teknik Sipil dan Arsitektur
Publisher : Fakultas Teknik Universitas Tunas Pembangunan Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36728/jtsa.v31i1.5827

Abstract

The drinking water supply system (SPAM) is an infrastructure facility specifically designed to provide clean and safe drinking water that meets established health standards. In this project, the construction buildings utilize foundations in the form of piles and bored piles, which serve as essential structural elements to support and distribute loads from the columns to the underlying hard soil layer. A properly designed foundation ensures the stability and durability of the overall structure. This study aims to analyze and determine the bearing capacity of the foundation using several analytical approaches, namely the Meyerhoff, Reese & Wright, and Luciano Decourt methods, while the settlement analysis is carried out using the Fellenius and Vesic methods. The research was conducted in Kampar Regency, Riau Province, Indonesia. The data used in this analysis include Standard Penetration Test (SPT) data and Pile Driving Analyzer (PDA) test results obtained from field observations. The calculation results indicate that the bearing capacity obtained from the Meyerhoff method is 103 tons, Reese & Wright 176 tons, Luciano Decourt 353 tons, and PDA 204 tons. Meanwhile, the settlement results show values of 10.7 mm for the Fellenius method, 16.05 mm for the Vesic method, and 14.5 mm for PDA measurements.
Analisis Perbandingan PTES dan OWASP sebagai Acuan Penetration Testing dalam Mengidentifikasi dan Memitigasi Kerentanan Website (Studi Kasus : Dinkominfo Banyumas) Gilang Herawan, Muhamad; Fernandes, Sandhy; Wibisono, Gunawan
eProceedings of Engineering Vol. 12 No. 6 (2025): Desember 2025
Publisher : eProceedings of Engineering

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Website pemerintah memiliki peran strategis dalam menyediakan akses informasi dan interaksi digital kepadapublik, termasuk yang dikelola oleh Dinas Komunikasi dan Informatika (Dinkominfo) Kabupaten Banyumas. Namun,paparan terhadap internet meningkatkan kerentanannya terhadap berbagai serangan siber. Penelitian ini bertujuanuntuk mengidentifikasi dan menganalisis kerentanan keamanan pada website Dinkominfo Banyumas menggunakan duapendekatan penetration testing, yaitu Penetration Testing Execution Standard (PTES) dan OWASP Top 10. Pengujiandilakukan melalui pemetaan port, identifikasi direktori, pengujian konfigurasi keamanan, serta eksploitasi kerentananmenggunakan tools seperti Nmap, ZAP, SQLMap, dan Burp Suite. Hasil penelitian menunjukkan bahwa OWASP lebihefektif dalam mengidentifikasi kerentanan pada lapisan aplikasi seperti injection, broken access control, dan misconfiguration,serta lebih efisien dari segi waktu karena mampu menghasilkan temuan dalam durasi yang lebih singkat. Sebaliknya, PTESmenawarkan pendekatan yang lebih sistematis dan menyeluruh dari tahap perencanaan hingga pelaporan, namun memerlukan waktu pelaksanaan yang lebih panjang. Temuan ini menunjukkan bahwa OWASP lebih cocok diterapkan padapengujian keamanan aplikasi web instansi pemerintah daerah, sedangkan PTES relevan untuk pengujian berskala besardengan kebutuhan dokumentasi menyeluruh. Hasil penelitian ini diharapkan menjadi acuan strategis dalam memperkuatkeamanan dan perlindungan data pada layanan digital pemerintahan.Kata kunci: Penetration Testing, OWASP Top 10, PTES, Keamanan Website, Efisiensi, Pemerintahan Daerah
Sistem Informasi E-Commerce Batik Tulis Gumelem Berbasis Website dengan Metode Rapid Application Development Aziz, Abdul; Zafia, Anggi; Wibisono, Gunawan
eProceedings of Engineering Vol. 12 No. 6 (2025): Desember 2025
Publisher : eProceedings of Engineering

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Usaha Mikro, Kecil, dan Menengah (UMKM) memiliki peran vital dalam pembangunan ekonomi Indonesia,terutama dalam mengurangi pengangguran dan meningkatkankreativitas masyarakat. Batik, sebagai salah satu produkUMKM, menghadapi tantangan dalam pemasaran danpenggunaan teknologi. Di Desa Gumelem Kulon, KabupatenBanjarnegara, sentra batik tulis Gumelem Amorista mengalamipermasalahan keterbatasan jangkauan pasar, penyebaraninformasi produk terbatas, serta pencatatan transaksi manualyang menyulitkan monitoring bisnis. Penelitian ini bertujuanmerancang dan membangun sistem informasi e-commerceberbasis website untuk digitalisasi pemasaran dan manajemenbisnis batik tulis Gumelem menggunakan metode RapidApplication Development (RAD). Metode RAD dipilih karenafleksibilitasnya dalam menyesuaikan perubahan kebutuhandan kecepatan pengembangan sistem. Sistem berhasildiimplementasikan dengan fitur katalog produk digital, ecommerce terintegrasi payment gateway Midtrans, kalkulasiongkir otomatis via Biteship, AI chatbot customer service GeminiAI, dan sistem manajemen admin lengkap. Pengujian black boxtesting dan System Usability Scale (SUS) menunjukkankeberhasilan 100% dari 40 test case dengan skor SUS 76.14(kategori Good) dan sistem telah berhasil dideploy ke productiondi batikgumelem.com. Hasil penelitian membuktikan bahwasistem mampu menyediakan solusi digital untuk mengatasimasalah pemasaran tradisional dan pencatatan manual.Kata kunci— Batik, Black Box, E-Commerce, RapidApplication Development
Enhancing Decision Quality and Transparency via Machine Learning-Based Goodwill Impairment Estimation in Banks Wibisono, Gunawan; Nikhlis, Neilin; Wicaksono, Yosep Aditya; Faradila, Silvia
Journal of Management and Informatics Vol. 4 No. 3 (2025): December Season | JMI: Journal of Management and Informatics
Publisher : University of Science and Computer Technology

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51903/jmi.v4i3.233

Abstract

Goodwill impairment assessment remains a judgment-intensive process in banking institutions, where managerial discretion, information asymmetry, and regulatory complexity often challenge the quality of decisions and transparency. While prior studies have widely applied machine learning to financial risk assessment and credit analytics, they have paid limited attention to its role in improving managerial accountability in goodwill impairment decisions. This study aims to address this gap by developing and evaluating a machine-learning–based estimation framework to enhance the quality of decisions and transparency in bank-level goodwill impairment assessments. Using simulation-based analysis on synthetic financial statements, the proposed framework evaluates the performance of impairment estimation using quantitative metrics that capture predictive accuracy, decision consistency, and traceability. The findings demonstrate that ML-assisted estimation can systematically improve decision quality while strengthening transparency and accountability compared to traditional judgment-driven approaches. Beyond technical performance, the results indicate that machine learning can function as a governance-supporting mechanism by enabling more traceable and internally auditable impairment decisions. The study contributes theoretically by operationalizing transparency and accountability as measurable decision outcomes in corporate finance, and practically by offering banks a simulation-based tool for internal evaluation that does not rely on field experiments or sensitive proprietary data. Overall, the research highlights the potential of ML-enabled decision support systems to enhance both the quality and governance of goodwill impairment practices in the banking sector.
Co-Authors Abdul Aziz 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 Anggi Zafia Anjar Taufik Hidayat Ari Sandhyavitri Arief Hermawan Arif Amrulloh Ariffin Ariffin Arifin Arifin 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 Dewi Ayu Lestari Dikpride Despa EIH Ujianto Elianora - Endang Sri Lestari Erik Iman Heri Ujianto Ermiyati Fadhlurrahman, Fadhlurrahman fakhri Fakhri, Fakhri Faradila, Silvia Fata Allamsyah, M. Zahwa Fatonah, Uci Fauzi, Muhamad Rifki Febridiani, Lintang Dwi Ferdi Ferdi, Ferdi Fernandes, Sandhy Ferry Fatnanta Fikra Titan Syifa Firman Maulana, Firman Fitri, Aidi Yani Fitriati Ghaly Al Ghifari, Muh. Naufal Gilang Herawan, Muhamad Grahita Aditya Gussyafri Haifan, Naufal Hargo Utomo Haripin, Haripin Herry Susanto Hibatullah, Irfan Hidayat, Muhammad 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 Ikhsan Muhammad Zainal Abidin Muhardi Muhardi Muhardi Muliyono Mulyono, Eliana Sachi Muria, Irfan Napitupulu, Heri Negara, Made Dwipa Nikhlis, Neilin 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 Putrie, Dewi Sonia Putro, Aditya Dwi Rahmana, Fhadil Yulisesha Randhi Saily Ria Larici, Ria Riska Fitriani S. Thya Safitri, S. Thya Safridatul Audah Sakahuni, Sakahuni Satibi, Syawal Sekar Mayangsari Septari, Dinda Setyawan, Rachmat 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 Wicaksono, Yosep Aditya Wijoyo, Agung Wirayuda, Ricky Purnama Yenita Morena Yofani, Dhea Fitra Yoga Dwi, Farhan Yuda Permadi, Yuda YULIAN ZETTA MAULANA Z, Harist Febrie R