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All Journal AGRISAINS Indonesia Medicus Veterinus Jurnal Teknologi dan Manajemen Informatika JOIN (Jurnal Online Informatika) Mimbar Agribisnis: Jurnal Pemikiran Masyarakat Ilmiah Berwawasan Agribisnis JOIV : International Journal on Informatics Visualization Madania: Jurnal Ilmu-Ilmu Keislaman JURNAL ILMIAH PETERNAKAN TERPADU Technomedia Journal TELKA - Telekomunikasi, Elektronika, Komputasi dan Kontrol Enrichment : Journal of Management Community Development Journal: Jurnal Pengabdian Masyarakat Portofolio: Jurnal Ekonomi, Bisnis, Manajemen dan Akuntansi KEYNESIA : INTERNATIONAL JOURNAL OF ECONOMY AND BUSINESS Intellect : Indonesian Journal of Learning and Technological Innovation Coreid Journal Jurnal Abdimas International Journal of Active Learning
Mohamad Irfan, Mohamad
Mahasiswa Jurusan Teknik Mesin, Fakultas Teknik, Universitas Diponegoro
Agriculture, Biological Sciences & Forestry Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Health Professions Languange, Linguistic, Communication & Media Medicine & Pharmacology Public Health Social Sciences Veterinary Other

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Journal : Coreid Journal

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Academic Data Quality Measurement in SALAM Application Using Six Sigma Method Firdaus, Imam; Alam, Cecep Nurul; Gerhana, Yana Aditia; Irfan, Mohamad
CoreID Journal Vol. 3 No. 2 (2025): July 2025
Publisher : CV. Generasi Intelektual Digital

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.60005/coreid.v3i2.136

Abstract

Data quality plays a critical role in ensuring the reliability and usefulness of information for decision making in higher education institutions. However, academic data within the SALAM application at UIN Sunan Gunung Djati Bandung has not previously undergone a systematic quality assessment, leading to uncertainty in several managerial and academic decisions. This study aims to evaluate the quality of academic data in the SALAM application using the Six Sigma method with the DMAIC (Define–Measure–Analyze–Improve–Control) framework. Five data quality dimensions completeness, consistency, conformity, uniqueness, and timeliness are employed to measure and analyze data quality performance. The measurement process begins with data definition and extraction, followed by quantitative analysis using sigma metrics. The results indicate that the overall quality of academic data is at a moderate level, with an average sigma score of approximately 3, primarily influenced by incomplete and inconsistent data. In contrast, the timeliness dimension demonstrates excellent performance, achieving a sigma metric of 6 due to the long-term availability of data over more than ten years. This study contributes by providing an empirical, data-driven evaluation of academic data quality and offers practical insights for implementing continuous monitoring and improvement strategies to enhance data reliability and support more effective decision making in higher education institutions.
Implementation of Template Matching Algorithm in Detecting Student Identification Numbers to Improve Student Services Cahya, Nurul Dwi; Irfan, Mohamad; Amin, Mohammad Badrudin
CoreID Journal Vol. 3 No. 2 (2025): July 2025
Publisher : CV. Generasi Intelektual Digital

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.60005/coreid.v3i2.141

Abstract

The rapid progression of technological advancements, particularly in the digitalization of image data, has significantly facilitated numerous sophisticated applications, including pattern recognition. A prominent example can be observed within the education system of UIN Sunan Gunung Djati Bandung, where the Student Identification Number (NIM) constitutes a pivotal component in a wide range of academic service operations. At present, processes such as the verification of scholarship documentation, updating of PD DIKTI data, and the borrowing of library materials are predominantly executed through manual means, frequently resulting in operational inefficiencies and the occurrence of human errors. To address these challenges, this study investigates the application of the template matching algorithm for recognizing the NIM on the Student Identity Card (KTM). This study is conducted to systematically evaluate the implementation of template matching for NIM recognition, assess the performance of the proposed method, and ascertain its impact on enhancing student services. The experimental findings reveal that the template matching algorithm demonstrates variable success rates across three trials (9/20, 8/20, and 8/20 instances correctly identified). The detection accuracy is determined to be influenced by factors including, but not limited to, template values, the presence of noise, variations in lighting conditions, and the parameter settings of the Canny edge detection process. The results substantiate the potential of the template matching algorithm to significantly improve the efficiency of student services by automating the NIM recognition process. Nonetheless, several technical limitations, particularly those impacting detection accuracy, necessitate further refinement to optimize its performance. This research highlights the critical importance of enhancing the algorithm to establish a robust and effective system for academic service delivery.
Co-Authors Abdurohim Abdurohim, Abdurohim Aldy Rialdy Atmadja Amam, Amam Amin, Mohammad Badrudin Amiruddin Dg. Malewa Andi Hiroyuki Andri Zarman, Andri Andriyan, Acep Razif Angelyna, Angelyna Anggreni, Ni Gusti Ayu Beki Subaeki, Fatkhan Gunawan, Aldy Rialdy Atmadja, Beki Budianda, Sherly Indria Cahya, Nurul Dwi Cecep Nurul Alam, Cecep Nurul Chaidir, John Dahlan, Maharani M. Deny Wiria Nugraha Diningrat, Sriwulan Cakrawati Dwi Agustian Dwi Wijaya, Kadek Agus Eko Supraptono Fadila, Nurul Firdaus, Imam Haerofiatna Hajra Rasmita Ngemba Hamid, Odai Amer Hidayattullah, Ardhana Luthfi Humolungo, Nurlela H. Ian Septiana, Ian Jumadi Jumadi Juwita Meldasari Tebisi, Juwita Meldasari Katrina Feby Lestari, Katrina Feby Khumaedi, Muhammmad Kurniawan, Galang Wahid Lustinasari, Kholisah Mardani Mardani Maulita, Miftahul Maylawati, Maylawati Mohammad Ismail Muhammad Hamdani, Muhammad Mustafa Mutrofin Mutrofin Nirwana, Nirwana Nouval Trezandy Lapatta Nur Lukman Raivandy, I Made Randhy Rizka Ardiansyah Said Sunardiyo Sanjaya, Komang Sa’adillah, Dian Sintiawati, Ni Wayan Sirajuddin Abdullah Sonhaji Sonhaji Sudiari, Ni Made Dwi Syahrir Syahrir Syahrullah Syahrullah Syaiful Hendra Tukiman Tukiman Undang Syaripudin, Undang Urbaningrum, Vidya Walili, Marzelina Wildan Budiawan Zulfikar Wisnu Uriawan, Wisnu Yana Aditia Gerhana, Yana Aditia Yeri Sutopo Yudi Mujayin Zainal Zainal