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All Journal IAES International Journal of Artificial Intelligence (IJ-AI) E-SOSPOL Jurnal Nasional Pendidikan Teknik Informatika (JANAPATI) QARDHUL HASAN: MEDIA PENGABDIAN KEPADA MASYARAKAT JMIE (Journal of Madrasah Ibtidaiyah Education) JURNAL KESEHATAN DELIMA PELAMONIA Computer Science and Information Technologies Jurnal Teknik Informatika (JUTIF) Proceedings Series on Social Sciences & Humanities Journal of Education Research Jurnal Komtekinfo Jurnal Pengabdian Masyarakat Bhinneka Jurnal Riset Mahasiswa Matematika Jurnal Ilmiah Pengabdian Kepada Masyarakat Sahabat Sosial: Jurnal Pengabdian Masyarakat Journal of Economics, Business, Management, Accounting And Social Sciences Jurnal Lentera Pengabdian Revenue: Lentera Bisnis Manajemen Journal of Multidisciplinary Inquiry in Science, Technology and Educational Research Kajian Ilmiah Mahasiswa Administrasi Publik (KIMAP) Journal of Research on Community Engagement
Dian Maharani, Dian
Unknown Affiliation
Agriculture, Biological Sciences & Forestry Humanities Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Engineering Environmental Science Health Professions Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Mathematics Nursing Public Health Social Sciences Other

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Car selection in games using multi-objective optimization by ratio analysis based on player achievement Putra, Caesar Nafiansyah; Nugroho, Fresy; Imamudin, Mochamad; Pebrianti, Dwi; Hammad, Jehad Abdelhamid; Lestari, Tri Mukti; Maharani, Dian; Nurrahman, Alfina
Computer Science and Information Technologies Vol 7, No 1: March 2026
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/csit.v7i1.p30-45

Abstract

The selection menu in some racing games usually uses a random system for vehicle selection. However, this random feature generally randomizes the selection of the index without considering factors that support the player's abilities. Therefore, this study aims to develop a racing game that can suggest vehicles that have been adjusted to the player's performance. Vehicle recommendations are made using the multi-objective optimization on the basis of ratio analysis (MOORA) method as its method. The MOORA calculation ranks vehicles based on criteria such as mileage, fuel efficiency, speed, agility, and others collected in previous games. The results of this study show the effectiveness of using the MOORA method in recommending vehicles that match the player's skills, thereby improving the overall player experience. In addition, the usability test produced a system usability scale (SUS) score of 82.4, so it is included in the very good category.
Serious game intelligent transportation system based on internet of things Nugroho, Fresy; Buditjahjanto, I Gusti Putu Asto; Pebrianti, Dwi; Hammad, Jehad A. H.; Fachri, Moch; Lestari, Tri Mukti; Maharani, Dian; Nurrahma’N, Alfina
IAES International Journal of Artificial Intelligence (IJ-AI) Vol 15, No 1: February 2026
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijai.v15.i1.pp177-190

Abstract

This research examines the implementation of the preference ranking organization method for enrichment evaluation (PROMETHEE) approach for multi-criteria decision-making in a character recommendation system for serious games. The method calculates character skill values across multiple criteria and generates rankings of the best characters according to game environment conditions derived from closed-circuit television (CCTV) based traffic detection. Image processing algorithms were applied to classify congestion levels into quiet, moderate, and busy categories, which directly influence gameplay modes. Experimental results show that PROMETHEE rankings vary across maps (e.g., A6 ranked highest in quiet mode, while B2 dominated in busy mode), demonstrating the system’s contextual adaptability. Usability testing with 50 participants yielded an average system usability scale (SUS) score of 78.9, while expert evaluation using game design factor questionnaire (GDFQ) produced a mean of 4.19/5, both indicating high acceptance and positive user experience. These findings confirm that PROMETHEE is effective in generating context-aware recommendations, providing both strategic depth and engagement. The study concludes that integrating traffic data into serious game design can enrich intelligent transportation systems (ITS) education and awareness, with future improvements possible through real-time player feedback adaptation and machine learning–based traffic prediction.
Financial Technology Awareness, Trust in Technology, dan Kepercayaan Pengguna QRIS: Studi Empiris pada Wilayah Cikarang Maharani, Dian; Bebasari, Nataliana
Revenue: Lentera Bisnis Manajemen Vol. 4 No. 01 (2026): Februari 2026
Publisher : Lentera Ilmu Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59422/lbm.v4i01.1171

Abstract

Transformasi digital dalam industri keuangan telah mengubah lanskap ekonomi global, dengan Quick Response Code Indonesian Standard (QRIS) mengalami pertumbuhan eksponensial mencapai 169,1% year-on-year pada kuartal pertama 2025. Penelitian ini bertujuan untuk menganalisis pengaruh Financial Technology Awareness dan Trust in Technology terhadap kepercayaan pengguna QRIS di Indonesia. Meskipun volume transaksi menunjukkan peningkatan signifikan, adopsi teknologi pembayaran digital tidak hanya bergantung pada infrastruktur teknologi, tetapi juga dipengaruhi oleh faktor psikologis seperti kesadaran teknologi finansial dan kepercayaan terhadap teknologi. Penelitian ini menggunakan pendekatan kuantitatif dengan desain survei terhadap pengguna QRIS yang representatif, mencakup berbagai segmen demografis termasuk UMKM, profesional, dan pengguna dari berbagai latar belakang geografis. Data dikumpulkan melalui kuesioner terstruktur dengan skala Likert dan dianalisis menggunakan analisis structural equation modelling. Penelitian ini memberikan kontribusi teoritis melalui pengembangan model integratif yang menggabungkan awareness dan technology trust dalam konteks adopsi fintech, serta kontribusi praktis berupa rekomendasi berbasis bukti untuk regulator, penyedia layanan fintech, dan merchant dalam meningkatkan kepercayaan pengguna QRIS. Temuan penelitian ini diharapkan dapat mendukung percepatan transformasi digital yang inklusif dan memperkuat infrastruktur pembayaran digital nasional Indonesia.
Teorema Hahn-Banach untuk Fungsional Linier Terbatas Astuti, Rahmadita Widya; Maharani, Dian; Aziz, Abdul
Jurnal Riset Mahasiswa Matematika Vol 5, No 3 (2026): Jurnal Riset Mahasiswa Matematika
Publisher : Universitas Islam Negeri Maulana Malik Ibrahim Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18860/jrmm.v5i3.34722

Abstract

A linear functional  is a mapping from a vector space  to a field , ( or ), that satisfies two properties, additivity and homogeneity. Among the various properties of linear functionals, one important property is boundedness. This research is to prove the boundedness property of linear functionals using the Hahn-Banach Theorem. The Hahn-Banach Theorem addresses the extension of linear functionals. Thus, the results of this research show that with the Hahn-Banach Theorem, every element  in a normed space can be associated with a bounded linear functional  such that  dan . Furthermore, a linear functional defined on a real vector space can be extended to a complex vector space using the structure , and it is proven that this extension satisfies . This research is expected to be beneficial and serve as an additional reference.
Peningkatan Kompetensi Digital SDM pada UMKM melalui Program Pelatihan di Kabupaten Bekasi Rismawati, Rismawati; Setiawan, Aziz; Nasrullah, Nasrullah; Maharani, Dian; Soliha, Ira; Bebasari, Nataliana; Ekhsan, Muhamad
Lentera Pengabdian Vol. 4 No. 01 (2026): januari 2026
Publisher : Lentera Ilmu Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59422/lp.v4i01.970

Abstract

Di era serba digital persaingan pasar semakin ketat, banyak inovasi dan strategi berbasis teknologi dikembangkan oleh pelaku usaha. Dari mulai teknik perencanan usaha, teknik memasarkan produk, sampai ke menjalin citra usaha kepada masyarakat kini dibalut dengan teknologi. Namun tak semuanya mampu menyerap dan mengaplikasinnya dalam usaha mereka, tak terkecuali di sektor UMKM. Banyak sekali pelakunya adalah orang tua yang ketinggalan jaman, atau orang kolot yang tidak mau beradaptasi. Oleh karena itu untuk meningkatkan kualitas dan daya saing bisnis lokal, Usaha Mikro Kecil dan Menengah (UMKM) perlu adanya sebuah pelatihan berbasis digital dalam upaya meningkatkan kompetensi yang selaras dengan kemajuan era modern. Pelatihan ini berbicara tentang seberapa penting peningkatan kompetensi SDM untuk UMKM di era digital dan bagaimana memanfaatkan pelatihan yang efektif pada UMKM di Perumahan Mega Regency, Kabupaten Bekasi. Metode yang digunakan adalah pendekatan pelatihan partisipatif yang terstruktur melalui workshop interaktif dan pendampingan langsung. Tujuan pelatihan ini adalah untuk meningkatkan penerapan teknologi digital dalam manajemen pemasaran, efisiensi operasional, dan inovasi dalam pengembangan karyawan. Hasil dari pelatihan ini menunjukkan peningkatan yang signifikan dalam pengetahuan dan keterampilan pelaku UMKM, pelatihan ini mempersiapkan mereka untuk bersaing di pasar yang serba digital yang tentunya sangat kompetitif. Luaran kegiatan ini mencakup peningkatan kapasitas digital SDM, terciptanya strategi pemasaran berbasis teknologi, serta terciptanya budaya adaptif dalam pengelolaan usaha. Dalam pelatihan ini diharapkan bahwa kolaborasi yang erat akan menjadi kunci keberhasilan dalam meningkatkan UMKM di Perumahan Mega Regency melalui peningkatan kualitas SDM.
Co-Authors Abdul Aziz Afifah, Khornelia Agustiardani, Salsa Pramudhita Amin Sadiqin Anas, Mahmud Anggraeni, Nurul Anggraini Puspita Sari Ari Kusumastuti Aryani, Ine Kusuma Astuti, Rahmadita Widya Az-zahra, Syaika Alifa Azizah, Nisak Nur Buhari, Suharti Dardi, Satriana Dimas Prasetyo Elizabeth, Caritta Erna Herawati, Erna Etty Pratiwi, Etty Fachri, Moch Fathur Rahman Fatmawati Zahroh Fauzi, Deri Fresy Nugroho Hammad, Jehad A. H. Hammad, Jehad A.H. Hammad, Jehad Abdelhamid Hammad, Jehad AH Hendrik, Billy I Gusti Putu Asto Buditjahjanto Ismail, Nurus Shubhiyyah Lestari, Tri Mukti Maharani, Wilda Nidia Mochamad Imamudin Muhamad Ekhsan Muhammad Ridho Muhammad Sukron, Muhammad Multazam, Multazam Nalendra, Irham Wahid Nasrullah Nasrullah Nataliana Bebasari Nurhaedar Jafar Nurrahma ‘N, Alfina Nurrahma, Alfina Nurrahman, Alfina Nurrahma’N, Alfina Nurul Hikmah Nusantara, Mhd Dharma Samudra Parawu, Hafiz Elfiansyah Patricia Lubis, Patricia Pebrianti, Dwi Prakasa, Aji Bagas Putra, Caesar Nafiansyah PUTU LUSITA NATI INDRIANI Rahayu, Salsabila Putri Rahmatin, Leily Suci Rini, Winda Putri Setyo Rismawati Rismawati Roro Inda Melani Rosmaya, Dwi Ajeng Sa'adah, Qorina Sari, Erma Puspita Septyana, Dwitamara Setiawan, Aziz Soliha, Ira Sudarmi Sudarmi Syech Hariyono Treasa, Adisty Dwi Very, Jhon Yuhandri