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All Journal Halaqa : Islamic Education Journal KACANEGARA Jurnal Pengabdian pada Masyarakat JUTIM (Jurnal Teknik Informatika Musirawas) Jurnal Teknologi Informasi MURA Ta`Limuna : Jurnal Pendidikan Islam J-SAKTI (Jurnal Sains Komputer dan Informatika) KOMPUTA : Jurnal Ilmiah Komputer dan Informatika GEMA EKONOMI JUSIM (Jurnal Sistem Informasi Musirawas) Majalah Ilmiah Warta Dharmawangsa Performance : Jurnal Bisnis dan Akuntansi Medium : Jurnal Ilmiah Fakultas Ilmu Komunikasi BUDGETING : Journal of Business, Management and Accounting Jurnal Pengabdian kepada Masyarakat Nusantara Dynamic Management Journal J-SAKTI (Jurnal Sains Komputer dan Informatika) Journal of Research in Social Science and Humanities Indonesian Journal of Social Science Research Jurnal Ekonomi dan Bisnis GROWTH (JEBG) Jurnal Akuntansi, Manajemen dan Bisnis Digital Al-Khidmah Jurnal Pengabdian Masyarakat Jurnal Kreativitas dan Inovasi (Jurnal Kreanova) Lamahu: Jurnal Pengabdian Masyarakat Terintegrasi Hippocampus: Jurnal Pengabdian Kepada Masyarakat Jurnal Comparative : Ekonomi Dan Bisnis Mujtama': Jurnal Pengabdian Masyarakat Jurnal Manajemen, Akuntansi, Ekonomi Jurnal Multidisiplin Sahombu Jurnal Mahasiswa Entrepreneur West Science Journal Economic and Entrepreneurship Jurnal Teknologi Informasi Mura Jurnal Akuntansi, Manajemen, dan Perencanaan Kebijakan Journal of Business and Halal Industry Journal Pemberdayaan Ekonomi dan Masyarakat Manajemen : Jurnal Ekonomi J-CEKI Proceeding of International Conference on Social Science and Humanity
Rusdiyanto Rusdiyanto, Rusdiyanto
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Religion Agriculture, Biological Sciences & Forestry Arts Humanities Biochemistry, Genetics & Molecular Biology Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Mathematics Mechanical Engineering Public Health Social Sciences Transportation Other

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THE ROLE OF VILLAGE OWNED BUSINESS ENTITIES IN IMPROVING THE WELFARE OF VILLAGE COMMUNITIES Syafii, Mochamad; Ulum, Bustanul; Rusdiyanto, Rusdiyanto; Pramitasari, Dini Ayu; Hasanah, Anisaul
Jurnal Kreativitas dan Inovasi (Jurnal Kreanova) Vol 3 No 1 (2023): Januari
Publisher : Sekolah Tinggi Ilmu Ekonomi Indonesia (STIESIA) Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24034/kreanova.v3i1.5493

Abstract

Devotion this analyze and evaluate mission development body effort owned by the village whose goal for move wheel village economy by optimizing village potential. If the village is able to optimize all its potential resources to drive the economy, then the development and strengthening management body effort owned by village expected able to develop business units and innovations that become new potentials in the village so that their mission body effort owned by village materialized , as driver of village life. Village owned body work put to use approach specifically intends to enhance the villagers' economic well-being through the growth of their business ventures. Village-owned formation body endeavor meant To use project programs run by the government and local governments mentioned in the previous sentence to push or accommodate economic activities that are submitted to be managed by the community as well as those that develop in accordance with local customs and culture in order to increase community income (1). The village-owned, on-budget base effort
IMPLEMENTASI DEEP LEARNING ALEXNET UNTUK DETEKSI DAN KLASIFIKASI TANDA TANGAN Nurdiansyah, Deni; Sobri, Ahmad; Sunardi, Lukman; Rusdiyanto, Rusdiyanto
Jurnal Teknologi Informasi Mura Vol 17 No 2 (2025): Jurnal Teknologi Informasi Mura DESEMBER
Publisher : LPPM UNIVERSITAS BINA INSAN

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32767/jti.v17i2.2897

Abstract

The problem in this research is that the manual signature verification process is still widely used. However, this method is prone to human error and is highly subjective, so its accuracy in distinguishing genuine and fake signatures is not optimal. The pattern recognition extraction process in signatures uses the Alexnet algorithm. This study uses a digital signature image dataset consisting of two classes, with 90 images per class. Furthermore, the signature pattern recognition extraction process based on digital images can be performed using the Alexnet model. The purpose of this paper is to help classify signature types, which can facilitate the medical treatment process. The analysis uses deep learning with Python tools. Explicitly, the total sample size in Figure "Distribution of Classes in Training, Validation, and Testing Data" (image_98f1fc.png) shows that the number of samples for the 'full_forg' class is fewer than for the 'full_org' class. Although the model performs very well on the minority class, the presence of perfect recall for the 'full_org' class will be interesting to observe.
IMPLEMENTASI DEEP LEARNING ALEXNET UNTUK DETEKSI DAN KLASIFIKASI TANDA TANGAN Nurdiansyah, Deni; Sobri, Ahmad; Sunardi, Lukman; Rusdiyanto, Rusdiyanto
Jurnal Teknologi Informasi Mura Vol 17 No 2 (2025): Jurnal Teknologi Informasi Mura DESEMBER
Publisher : LPPM UNIVERSITAS BINA INSAN

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32767/jti.v17i2.2897

Abstract

The problem in this research is that the manual signature verification process is still widely used. However, this method is prone to human error and is highly subjective, so its accuracy in distinguishing genuine and fake signatures is not optimal. The pattern recognition extraction process in signatures uses the Alexnet algorithm. This study uses a digital signature image dataset consisting of two classes, with 90 images per class. Furthermore, the signature pattern recognition extraction process based on digital images can be performed using the Alexnet model. The purpose of this paper is to help classify signature types, which can facilitate the medical treatment process. The analysis uses deep learning with Python tools. Explicitly, the total sample size in Figure "Distribution of Classes in Training, Validation, and Testing Data" (image_98f1fc.png) shows that the number of samples for the 'full_forg' class is fewer than for the 'full_org' class. Although the model performs very well on the minority class, the presence of perfect recall for the 'full_org' class will be interesting to observe.
Co-Authors Ach. Ali Yafie Adiba Fuad Syamlan Agus Yulianti, Yulas Alfaris, Afrizal Mubarok Anam, Chairil Andarini, Syarifah Fidelia ANISAUL HASANAH Annisa Fitriana Azhad, M. Naely Baihaqi, Irfan Cahyadi, Yan Chamariyah, Chamariyah Dini Ayu Pramitasari Dwi Budi Santoso Efranda, Nolan Ekasari, Widia Aulia Eko Budi Satoto Elmayati, Elmayati Fadjriansyah, Agung Faisal, Amien Faridh, Miftah Fauziyah, Khirunissa Nur Feti Fatimah Halim, Moh Hamidah M, Icha Nadhirotul Haris Hermawan, Haris Hartansyah, Dendi Hidayat, Asep Toyib Hidayati, Metri Ilham, Rachmad Intan, Bunga Irvai, Muhammad Istighfary, Muhammad Alvito Jamilah, Dziyl Waslatiyl Juwita, Nurma Intan Kamaruddin, Ilham Lestari, Novi Lingga Wijaya, Harma Oktafia Lukman Hakim M. Ihsan Dacholfany Maheni Ika Sari Makthum, Rohiqil MARIA BINTANG Martadinata, A. Taqwa Maulana Yusuf, Muhammad Beny Maulidayanti, Diah Wulan Nawafil, Aulia Nurin Nur Khamidah Nurdiana, Hestin Nurdiansyah, Deni Nuriyah, Sinta Nursaidah Nursaidah, Nursaidah Nurul Qomariah Odarwani, Puji Pangestu, Apvellyo Dhymas Adjie Pramitasari S.Ant S.Ak M.Ak, Dini Ayu Prasetya, Ilham Dwi Pulungan , Ummi Hasanah Purnomo, Wahyu Agung Adji Putri, Elsa Catrika Putri, Septi Lenita Rahayu, Jekti Rais, Rinovian Ramadani, Resza Retno Endah Supeni Riyanto Setiawan Suharsono Rizki, Fido Rohmah, Nur Izzatur Saraswati, Fitria Sari, Serli Anggita Setiawan, Bahar Agus Setyorini, Haryati Siregar, Helly Aroza sobri, ahmad Suharto Suharto Suharto, Akhamd Suharto, Akhmad Suharto, Akmad Sulistiyowati, Dian Sumowo, Seno Sunardi, Lukman Sundari, Sri Suryansyah, AH Susanto Susanto Suyanto Suyanto syafii, mochamad - Tamami, Badrut Tatit Diansari Reskiputri, Tatit Diansari Trias Setyowati, Trias tuharea, firdaus indrajaya Ulum, M Bustanul Umar Burhan, Umar Umar, Ahmad Ummi Hasanah Wahyu Eko Setianingsih Wakit, Saipul Wardi, Muhammad Suhro Wasi, Daru Wati, Agustina Setyo Wulandari, Cindi Zaki Al Hamid, Nurhidayah Binti