Article Per Year (5 Year)
p-Index From 2021 - 2026
2.232
P-Index
This Author published in this journals
All Journal E-Bisnis : Jurnal Ilmiah Ekonomi dan Bisnis Journal of English Education and Teaching (JEET) alfazuna: Jurnal Pembelajaran Bahasa Arab dan Kebahasaaraban Journal Cerita: Creative Education of Research in Information Technology and Artificial Informatics Jurnal Tekinkom (Teknik Informasi dan Komputer) BERNAS: Jurnal Pengabdian Kepada Masyarakat Coopetition : Jurnal Ilmiah Manajemen Jurnal Administrasi Pendidikan Islam Ma'mal: Jurnal Laboratorium Syariah dan Hukum As-Sidanah : Jurnal Pengabdian Masyarakat Jurnal Kependidikan Islam Tepis Wiring : Jurnal Pengabdian Masyarakat Action Research Journal Indonesia (ARJI)
Fauzi, Ahmad
Universitas Islam Negeri Sunan Ampel Surabaya
Religion Agriculture, Biological Sciences & Forestry Humanities Computer Science & IT Control & Systems Engineering Dentistry Economics, Econometrics & Finance Education Environmental Science Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Mathematics Neuroscience Nursing Public Health Social Sciences Veterinary Other

Published : 16 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 16 Documents
Search

 1   2 
Rancang Bangun Aplikasi Helpdesk Dilingkungan Institusi Untuk Efisiensi Kinerja User Rahayu, Sri; Supriyanti, Dedeh; Fauzi, Ahmad
Journal Cerita: Creative Education of Research in Information Technology and Artificial Informatics Vol 10 No 2 (2024): Journal CERITA : Creative Education of Research in Information Technology and Ar
Publisher : UNIVERSITAS RAHARJA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33050/cerita.v10i2.3041

Abstract

The helpdesk section is an officer who fixes all kinds of problems that occur in the office infrastructure, such as damaged computer hardware components and applications that don't work properly. Currently, the process of submitting complaints regarding computer problems is still carried out by meeting directly with the helpdesk department or using an office VoIP telephone. Then the helpdesk will record it in the register of reported problems, then send a team of technicians to repair the computer. When the computer has been repaired, it will be reported back to the helpdesk so that the status of the problem submission data is changed to complete repair. However, the process of submitting complaints is still considered manual and inefficient, so it does not rule out the possibility of obstacles or errors such as duplication of complaint data which occurs due to the large number of reports coming in at once, the data search process is repetitive and takes quite a long time. So it is necessary to build an IT helpdesk system application that uses the PHP programming language which is integrated with the database. This research produces an IT helpdesk system application that functions to make it easier for officers as one of the users in the process of collecting submission data and managing helpdesk data more effectively.
SEGMENTASI PELANGGAN MENGGUNAKAN K-MEANS CLUSTERING DI TOKO RETAIL Achmad, Syifa Latifah; Fauzi, Ahmad; Rahmat, Rahmat; Indra, Jamaludin
Jurnal Tekinkom (Teknik Informasi dan Komputer) Vol 7 No 2 (2024)
Publisher : Politeknik Bisnis Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37600/tekinkom.v7i2.1226

Abstract

Advancements in information technology have transformed various aspects of human life, including the business world. Companies are required to use technology and data effectively to enhance their competitive advantage. One increasingly relevant strategy is Customer Relationship Management (CRM), where customer data is the main focus. Consumer data segmentation is an approach used to group customers based on certain characteristics. In this study, the K-Means Clustering algorithm is applied to consumer data segmentation to improve the marketing strategy of a store. The study begins with the collection of customer data from the Dan+Dan Telukjambe 2 store, followed by Exploratory Data Analysis (EDA) to understand the patterns and characteristics of the data. Preprocessing steps are carried out to ensure the data is ready for use, including removing irrelevant columns, handling missing values, and data transformation. Principal Component Analysis (PCA) is used to reduce data dimensions before applying K-Means Clustering. The Elbow Method and Silhouette Score are used to determine the optimal number of clusters. The study results indicate that the optimal number of clusters is six. Evaluation using the Silhouette Coefficient provides an average coefficient value of 0.66, indicating good clustering quality. Further analysis shows different distributions of age, purchasing power, occupation, and marital status in each cluster, providing deep insights into customer segments. The resulting clusters offer valuable information for developing more effective and targeted marketing strategies
PEMODELAN INSPEKSI PAINTING DEFECT PADA MOBIL MENGGUNAKAN CONVOLUTIONAL NEURAL NETWORK (CNN) Ramadhan, Muchamad Fachrul; Fauzi, Ahmad; Wahiddin, Deden; Rohana, Tatang
Jurnal Tekinkom (Teknik Informasi dan Komputer) Vol 7 No 2 (2024)
Publisher : Politeknik Bisnis Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37600/tekinkom.v7i2.1519

Abstract

Quality control is an important process carried out at the last stage of the production process, this activity is carried out by checking a product. Painting defects on cars are a problem that must be considered in the car production process at car companies. The perfection of a product is important to increase the level of customer satisfaction. These checking activities are still carried out manually with human power, which can still cause defective products to be missed in a production process that occurs as a result of human error. The use of artificial intelligence can be used to detect image and video objects, used to overcome the problem of human error in carrying out checks. Convolutional Neural Networks (CNN) is an algorithm that can be used in product defect inspection, image recognition, and image classification. The study focuses on modeling the inspection and detection of painting defects in cars using CNN, emphasizing the importance of quality control in ensuring product quality. The CNN model is trained with image data of normal car paint and defective car paint, and evaluated using a confusion matrix for optimal parameters. The results show quite high accuracy in detecting car paint defects of 98% with the help of the ResNet50 transfer learning CNN architecture.
Penerapan Algoritma Random Forest Untuk Menentukan Kualitas Anggur Merah Supriyadi, Riki; Gata, Windu; Maulidah, Nurlaelatul; Fauzi, Ahmad
E-Bisnis : Jurnal Ilmiah Ekonomi dan Bisnis Vol 13 No 2 (2020): Jurnal Ilmiah Ekonomi dan Bisnis
Publisher : LPPM Universitas Sains dan Teknologi Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51903/e-bisnis.v13i2.247

Abstract

Abstract In this study that was used as the object of research in classifying red wine based on the quality influenced by each red wine or red wine based on the content of each type of wine, from each attribute containing the composition in the wine seen which attributes most affect the quality of red wine, so that it will be known ingridents that can improve the quality of the wine, in this study was carried out by the application of Machine learning by comparing three algorithms of mining data that is , Decission Tree, Random Forest and Support Vector Machine (SVM), from the results of research that has been done by comparing the three algorithms, Random Forest produced the best accuracy among other algorithms that have been tested. Random Forest with accuracy results of 0.7468 makes this algorithm best used to classify the quality of red wine. And in the second order Decission Tree with accuracy results of 0.7031, while Support Vector Machine (SVM) get an accuracy result of 0.65. So in the research that has been done to classify the quality of red wine based on its composition Random Forest becomes the best algorithm to use..
Transformasi Sekolah Ramah Anak Melalui Inovasi Gema Sajadah : Studi Kualitatif pada Madrasah di Kabupaten Jombang Sabrina Aliya Rosyidah; Ahmad Fauzi; Ali Musthofa
Action Research Journal Indonesia (ARJI) Vol. 8 No. 1 (2026): Action Research Journal Indonesia (ARJI)
Publisher : PT. Pusmedia Group Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61227/arji.v8i1.676

Abstract

Permasalahan yang dihadapi dalam penerapan sekolah ramah anak yaitu belum adanya kesadaran dan perhatian warga sekolah pada pengelolaan lingkungan dalam menciptakan lingkungan belajar yang aman, sehat, dan mendukung perkembangan peserta didik secara optimal. Penelitian ini bertujuan untuk menganalisis transformasi sekolah ramah anak melalui inovasi Gema Sajadah (Gerakan Madrasah Sampah Jadi Sedekah) yang dicetuskan oleh Kantor Kementerian Agama Kabupaten Jombang.  Penelitian ini menggunakan metode kualitatif dengan pendekatan deskriptif. Data dikumpulkan melalui observasi pada tiga madrasah yaitu Madrasah Al-Hikam Jombang, MAN 1 Jombang dan MTsN 1 Jombang, wawancara mendalam dengan pengelola utama program Gema Sajadah, dan telaah dokumentasi, kemudian data dianalisis menggunakan model Miles, Huberman, dan Saldana yang meliputi pengumpulan data, kondensasi data, penyajian data, dan penarikan kesimpulan. Hasil penelitian menunjukkan bahwa Inovasi Gema Sajadah mampu memberikan kontribusi positif terhadap peningkatan kualitas layanan Sekolah Ramah Anak, terutama pada indikator sarana dan prasarana ramah anak, seperti menciptakan lingkungan belajar yang aman, sehat, dan nyaman, serta  memberikan dampak positif bagi ekonomi madrasah melalui pengelolaan sampah yang berkelanjutan. Temuan ini menegaskan bahwa pengelolaan lingkungan dapat menjadi strategi efektif dalam memperkuat implementasi program sekolah ramah anak di madrasah.
REVITALISASI WISATA ASTOJIWO UNTUK PENGEMBANGAN PARIWISATA DI DESA KANDANGAN KECAMATAN SENDURO KABUPATEN LUMAJANG Ahmad Fauzi; Faruq Shofihara Jazuli; Arif Nurdiansyah; Revanda Aditya Perdana; Muhammad Husein Alamul Huda Muhaimin; Muhammad Ary Susanto; Alim Aulia Hana; Ali Maghfuri; Ilham Fikri Rosyadi
Jurnal Pengabdian Masyarakat: Tipis Wiring Vol 1 No 2 (2022): Tepis Wiring: Jurnal Pengabdian Masyarakat
Publisher : Fakultas Ekonomi dan Bisnis Unversitas Islam Raden Rahmat

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (119.469 KB) | DOI: 10.33379/tepiswiring.v1i2.1733

Abstract

Penelitian ini bertujuan untuk merevitalisasi Wisata Astojiwo sebagai upaya pengembangan wisata di Desa Kandangan Kecamatan Senduro Kabupaten Lumajang. Seperti diketahui, Indonesia telah menjadikan pariwisata sebagai salah satu sektor andalan pemerintah daerah yang diharapkan dapat meningkatkan pendapatan daerah. Sehingga pengembangan pariwisata sangat penting untuk menggerakkan perekonomian daerah, juga menjadi wahana yang menarik untuk mengurangi pengangguran. Wisata Astojiwo merupakan salah satu wisata yang dimiliki oleh Desa Kandangan Kecamatan Senduro Kabupaten Lumajang. Namun, setelah berdiri lama, fasilitas yang ada masih terlihat kurang memadai dan kurang diperhatikan. Solusi yang ditawarkan adalah; (1) revitalisasi aksesibilitas dan infrastruktur pendukung pariwisata. (2) rekomendasi strategi revitalisasi pariwisata Astojiwo menjadi destinasi yang menarik dalam jangka panjang. Penelitian ini menggunakan metode Community Based Participatory Research (CBPR) dengan melibatkan masyarakat/masyarakat sebagai mitra dalam pelaksanaannya. Prosedur yang digunakan meliputi; survey lokasi wisata, pemetaan potensi dan permasalahan yang telah ditemukan, melakukan FGD (Focus Groups Discussion), dan melaksanakan kegiatan yang merupakan solusi dari permasalahan yaitu penataan kembali atau revitalisasi wisata Astojiwo.
Co-Authors Abdul Haris Achmad, Syifa Latifah Alfiarany Choirun Nisa Ali Maghfuri Ali Musthofa Alim Aulia Hana Alissa Qotrunnada Rohmah Arif Nurdiansyah Dianita Nur Auliya Fanny Fatma Wati Faruq Shofihara Jazuli Fauziah, Nadiatullah Tsuraya Febrina Zakiya Daroja Galih Setiawan Nurohim Gata, Windu Heeba Alya Ronan Ilham Fikri Rosyadi Indra, Jamaludin Irma Setya Ningsih Lubab, Ahmad Miftahul Ainiyah Muhammad Ary Susanto Muhammad Husein Alamul Huda Muhaimin Muhammad Sholahudin Ayyubi Nurlaelatul Maulidah Nurlita Nindya Putri Rahayu, Sari Rahmat Rahmat Ramadhan, Muchamad Fachrul Revanda Aditya Perdana Riki Supriyadi Rista Dwi Jayanti Rizka Safriyani Rizky Luthfiandari Rohana, Tatang Sabrina Aliya Rosyidah Shifa Shalsabila Siti Asmiyah SRI RAHAYU Supriyanti, Dedeh Upik Khoirul Abidin Vina Afrina Fitri Wahiddin, Deden Windhi Candra