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PENYEDIAAN INFRASTRUKTUR JARINGAN PADA MADRASAH IBTIDAIYAH(MI) ASH-SHIDIQ UNTUK MENDUKUNG PROSES BELAJAR MENGAJAR DAN PELAPORAN MADRASAH Ibnu Asror; Sri Astuti; Tora Fahrudin; Yanuar Firdaus; Dawam Dwi Jatmiko Suwawi; Moza Sajidah P
The Proceeding of Community Service and Engagement (COSECANT) Seminar Vol. 3 No. 1 (2023): Prosiding COSECANT : Community Service and Engagement Seminar
Publisher : Telkom University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25124/cosecant.v3i1.7072

Abstract

Kegiatan abdimas ini dilakukan di MI Ash-Shidiq. MI Ash-Shidiq membutuhkan adanya dukungan infrastruktur jaringan untuk proses belajar mengajar dan juga untuk kegiatan operasional harian madaasah. Madrasah memiliki kewajiban untuk melakukan pelaporan setiap bulannya dan juga ujian sekolah juga membutuhkan infrastruktur jaringan supaya proses ujian online dapat berjalan dengan lancar tanpa kendala. Dari hal tersebut kami coba membantu MI Ash-Shidiq dengan mendesainkan dan mengimplementasikan kebutuhan jaringannya. Hasil dari desain dan implementasi jaringan di MI Ash-Shidiq merasa mendapatkan kemudahan-kemudahan dalam kegiatan operasional, jaringan internet yang lebih stabil dan juga telah berhasil melakukan Ujian Online tanpa ada kendala sama sekali.
LITERATURE SURVEY OF FINANCIAL PERFORMANCE DASHBOARD CONCEPTS Eka Kristi Silalahi; Tora Fahrudin; Asniar Asniar
Jurnal Ilmiah Manajemen, Ekonomi, & Akuntansi (MEA) Vol 9 No 2 (2025): Edisi Mei - Agustus 2025
Publisher : LPPM STIE Muhammadiah Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31955/mea.v9i2.5697

Abstract

Improving efficiency and productivity is the main goal that every company wants to achieve. One of the solutions that supports to achieve this goal is to use the dashboard. However, it is not enough only because of the need to create an effective and efficient dashboard for the Company. Of course, dashboards are designed to be able to present important data both visually and interactively, which makes it easier to analyze and make good and correct decisions. This research aims to design an effective and efficient dashboard design for the Company. The methods used in this study are through literature study, user needs analysis, and prototype testing. The result of this research is a dashboard design that is integrated with the Company's information system, able to display data visualization. and able to display key performance metrics. With this dashboard, it is hoped that it can help the Company to monitor sales performance, identify the Company's finances, identify problems properly, and take the needed solutions.
PERBANDINGAN ALTMAN, SPRINGATE, ZMIJEWSKI, GROVER, TAFFLER DI PERUSAHAAN INDONESIA Hermalia Putri; Tora Fahrudin; Rochmawati Rochmawati
Jurnal Ilmiah Manajemen, Ekonomi, & Akuntansi (MEA) Vol 9 No 2 (2025): Edisi Mei - Agustus 2025
Publisher : LPPM STIE Muhammadiah Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31955/mea.v9i2.6074

Abstract

Terdapat berbagai pendekatan yang dapat dimanfaatkan untuk memperkirakan permasalahan finansial dan risiko kebangkrutan suatu bisnis. Dalam studi ini, beberapa metode analisis diterapkan, seperti metode Altman, Springate, Zmijewski, Grover, dan Taffler. Pendekatan ini dibuat untuk mengevaluasi kemungkinan suatu perusahaan menghadapi masalah finansial. Studi ini bertujuan untuk mengevaluasi akurasi model prediksi kegagalan keuangan ini ketika diterapkan pada perusahaan manufaktur dan ritel. Studi ini menggunakan metodologi kuantitatif. Sampel mencakup 10 perusahaan, terdiri atas 6 perusahaan manufaktur dan 4 perusahaan ritel yang tercatat di Bursa Efek Indonesia selama periode 2020 hingga 2023. Studi ini menggunakan data sekunder yang diperoleh dari laporan keuangan perusahaan-perusahaan tersebut selama periode tersebut. Hasil menunjukkan bahwa metode Springate memberikan prediksi kebangkrutan tertinggi, sementara metode Taffler menunjukkan bahwa sebagian besar perusahaan berada dalam zona aman.
Pembelajaran Akuntansi Dasar melalui Platform Edu Jurnal pada Siswa SMKN 3 Bandung Asniar Asniar; Tora Fahrudin; Raswyshnoe Boing Kotjoprayudi; Dedy Rahman Wijaya; Fajri Ardiansyah
Jurnal Pengabdian Masyarakat Bangsa Vol. 4 No. 4 (2026): Juni
Publisher : Amirul Bangun Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59837/jpmba.v4i4.4552

Abstract

Perkembangan teknologi kecerdasan buatan (AI) membuka peluang baru dalam mendukung proses pembelajaran yang lebih interaktif, adaptif, dan terpersonalisasi. Pada mata pelajaran Akuntansi Dasar, siswa sering mengalami kesulitan dalam memahami konsep jurnal umum dan pencatatan transaksi akuntansi. Selain itu, faktor psikologis seperti rasa malu, kecemasan bertanya, serta keterbatasan waktu pembelajaran di kelas menyebabkan siswa enggan mengajukan pertanyaan kepada guru sehingga berpotensi menghambat pemahaman materi. Untuk mengatasi permasalahan tersebut, kegiatan pengabdian kepada masyarakat ini dilaksanakan dalam bentuk pelatihan pemanfaatan platform EduJurnal bagi siswa Akuntansi SMKN 3 Bandung. EduJurnal merupakan aplikasi pembelajaran berbasis web yang memanfaatkan teknologi AI untuk mendukung pembelajaran penjurnalan melalui fitur chatbot AI, dashboard rangkuman materi, serta pembuatan label soal secara otomatis. Metode pelaksanaan kegiatan meliputi penyampaian materi, demonstrasi penggunaan platform, praktik langsung, dan sesi diskusi interaktif. Hasil kegiatan menunjukkan bahwa peserta pelatihan mampu memahami dan mengoperasikan fitur-fitur EduJurnal dalam pembelajaran akuntansi. Platform ini dinilai mampu mendukung proses pembelajaran yang lebih personal, meningkatkan interaksi belajar siswa, serta membantu guru dalam menyediakan layanan pembelajaran yang lebih efektif dan efisien. Kegiatan ini menunjukkan bahwa pemanfaatan teknologi AI melalui platform EduJurnal berpotensi menjadi solusi inovatif dalam mendukung transformasi digital pembelajaran Akuntansi Dasar di lingkungan Sekolah Menengah Kejuruan.
Pengelompokan Performansi Rasio Keuangan Perusahaan Terafiliasi dengan Israel Pasca 07 Oktober 2023 menggunakan AHC Clustering Mahardika Lutvia Maharaja; Tora Fahrudin; Rochmawati Rochmawati
Owner : Riset dan Jurnal Akuntansi Vol. 9 No. 3 (2025): Research Articles July 2025
Publisher : Politeknik Ganesha Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33395/owner.v9i3.2749

Abstract

The economy and financial performance of companies can be affected by geopolitical conflicts, especially companies that have ties with countries involved in the conflict. The purpose of this research is to cluster the financial ratios of companies affiliated with Israel after October 7, 2023, using the AHC (Agglomerative Hierarchical Clustering) method. The analysis was conducted based on key financial ratios, namely ROA (Return on Assets), ROE (Return on Equity), DER (Debt to Equity Ratio), Net Profit Margin (NPM), and CR (Current Ratio). The clustering results show that the businesses are divided into three main clusters. The first cluster consists of companies with high profitability but low liquidity, indicating an aggressive financial strategy that takes on greater liquidity risk. Companies in the second cluster show good financial stability because they have balanced liquidity and profitability. Companies in the third cluster have high liquidity but low profitability, indicating a more conservative financial approach. This result allows the company to gain an overview of the financial performance within the company after the occurrence of the Israel-Palestine conflict. This study helps investors, regulators, and the company itself understand how geopolitical instability affects financial performance. Additionally, the research findings can serve as a basis for strategic decisions related to risk mitigation and optimization of financial performance in an uncertain global economic environment.
KONSEP VISUALISASI PADA DATA PENGUNJUNG KERAJAAN KASEPUHAN CIREBON: KONSEP VISUALISASI PADA DATA PENGUNJUNG KERAJAAN KASEPUHAN CIREBON Ezra Balqis Alka Ceria; Tora Fahrudin; Ersy Ervina; Azhar Muhammad Fuad
Rabit : Jurnal Teknologi dan Sistem Informasi Univrab Vol 10 No 2 (2025): Juli
Publisher : LPPM Universitas Abdurrab

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36341/rabit.v10i2.5910

Abstract

Keraton Kasepuhan is one of the historical relics in Cirebon, West Java, which is currently the centre of cultural preservation and development. As a cultural tourism destination, a data-driven strategy is required for visitation management and promotion of sustainable tourism development. The purpose of this study is to present a visual representation of tourist visitation data in Kasepuhan Cirebon for the period between June and August 2024. This presentation will facilitate the analysis of visitation trends based on ticket type, time of visit and payment method. The resulting visualisation will provide a more accessible representation of complex data. This research uses a data visualisation methodology. The initial dataset was sourced from Curaweda and then subjected to graphical analysis using techniques such as bar charts, pie charts and tree maps. The purpose of these visualisations was to facilitate the understanding of complex data. This research study explores the integration of data visualisation and technology frameworks in the context of tourism management in Keraton Kasepuhan Cirebon. The analysis uses data visualisation techniques to examine visitation trends, focusing on differentiating factors such as ticket type, time of day and payment method. The results showed that the pass (Kawasan, Museum Pusaka and Dalem Agung Pakungwati) contributed the most revenue (41.7%), with the highest number of visitors in the afternoon. The study also revealed that cash payment methods still dominate compared to digital payment methods. These findings highlight the important role of technology in facilitating transactions, online promotions and real-time data management. The research offers several solutions, including optimising opening hours, implementing special promotions and using data analytics technology to improve management efficiency. The research provides a comprehensive framework for cultural destination managers looking to implement data-driven strategies to increase visitor capacity and economic contribution. This research can visualise tourism visitation trends to support the strategic management of Keraton Kasepuhan. The findings can be used for more effective and sustainable cultural tourism planning and development. This research demonstrates the importance of data visualisation technology in supporting data-driven management of tourist destinations.
Feature Selection Methods as Attribute Weighting Schemes for Clustering Corporate Financial Statements Tora Fahrudin; Dedy Rahman Wijaya
Journal of Applied Data Sciences Vol 7, No 3: September 2026
Publisher : Bright Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47738/jads.v7i3.1410

Abstract

Financial clustering plays an important role in uncovering hidden patterns and supporting decision-making in high-dimensional financial statement analysis. However, clustering performance is often constrained by noisy, redundant, and heterogeneous attributes that reduce cluster quality, interpretability, and robustness. Although previous studies in financial analytics have extensively explored clustering algorithms, limited attention has been given to systematically evaluating feature-selection-based attribute weighting strategies for improving clustering effectiveness in complex financial datasets. This study investigates the effectiveness of 6 feature-selection-based weighting strategies for improving financial statement clustering using annual financial data from 604 publicly listed companies on the Indonesia Stock Exchange during 2020-2023. Rather than relying solely on feature filtering, the evaluated methods were utilized to prioritize informative financial attributes and improve clustering structure. Clustering performance was assessed using internal validation metrics, including the Silhouette Coefficient, Dunn Index, Calinski Harabasz Score, and Davies Bouldin Index to evaluate cluster compactness, separation, and overall quality. The results demonstrate that feature-selection-based weighting substantially improves clustering quality compared with the baseline. Fisher Score achieved the strongest overall performance with a Silhouette score of 0.9899, Dunn Index of 1.7238, and Davies Bouldin Index of 0.0034, outperforming the baseline values of 0.8678, 0.3509, and 0.8716, respectively. Autoencoder-based ranking also produced highly competitive results, achieving a Silhouette score of 0.9757 and a Calinski Harabasz Index of 37,105.45. These findings indicate that prioritizing informative financial attributes significantly enhances cluster compactness, separation, and interpretability. The study contributes a comprehensive comparative evaluation of feature-selection-based weighting schemes and provides practical insights for financial segmentation, risk profiling, decision support, and data-driven financial analytics. This study further offers a foundation for developing more robust clustering frameworks for complex financial datasets.
Implementasi Sistem Informasi Manajemen Keuangan di BUMDESMA Mentereng LKD Cikoneng Kabupaten Ciamis Umar Ali Ahmad; Tora Fahrudin; Mera Kartika Delimayanti; Anggun Fitrian Isnawati; Wahyu Pamungkas; R. Rogers Dwiputra Setiady
El-Mujtama: Jurnal Pengabdian Masyarakat  Vol. 6 No. 4 (2026): El-Mujtama: Jurnal Pengabdian Masyarakat 
Publisher : Intitut Agama Islam Nasional Laa Roiba Bogor

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47467/elmujtama.v6i4.11768

Abstract

BUMDESMA Mentereng LKD is a village financial institution in Cikoneng District, Ciamis Regency, which plays a vital role in supporting community economic empowerment. To date, financial management has relied on manual recording, leading to various challenges, such as validation delays, the risk of recording errors, and limited access to real-time information. These conditions hamper efficiency, transparency, and accountability in village financial governance. To address these challenges, a digital transformation was undertaken through the development and implementation of a website-based Financial Management Information System (SIMKUG). The system development process involved several stages, from needs analysis and prototype design to implementation, to user training and system outreach to managers. SIMKUG offers features capable of managing loan recording, installment payments, member and group management, cash transactions, financial reporting, and monitoring of non-performing loans in a more structured and integrated manner. The implementation of SIMKUG has been proven to increase operational efficiency, strengthen transparency, and improve village financial governance sustainably, providing significant benefits to managers and the community.
Peningkatan Kompetensi Guru SMKN 3 Bandung dalam Penggunaan Tools AI untuk Menunjang Pembelajaran Asniar Asniar; Tora Fahrudin; Raswyshnoe Boing Kotjoprayudi; Dedy Rahman Wijaya; Fajri Ardiansyah
Jurnal Pengabdian Masyarakat Bangsa Vol. 3 No. 11 (2026): Januari
Publisher : Amirul Bangun Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59837/jpmba.v3i11.3792

Abstract

Perkembangan teknologi kecerdasan buatan (AI) telah membuka peluang besar dalam dunia pendidikan, khususnya dalam mendukung efisiensi dan kualitas proses pembelajaran. Implementasi tools AI dapat dimanfaatkan untuk membantu guru dalam menyusun materi ajar, membuat soal evaluasi, dan membuat deskripsi rapor siswa secara cepat dan sistematis. Pelatihan ini disusun untuk memberikan bekal praktis kepada guru-guru SMK dalam mengimplementasikan tools AI secara efektif dan efisien dalam konteks pembelajaran dengan tetap mengedepankan prinsip etika dan tanggung jawab profesional. Diharapkan, melalui pelatihan ini, para guru mampu mengintegrasikan teknologi AI secara bijak dan bertanggung jawab untuk mendukung pembelajaran yang lebih bermakna.  
Preferensi Mahasiswa dalam Menggunakan Platform Digital Payment untuk Layanan Tel-U Carwash: Student Preferences in the Use of Digital Payment Platforms for Tel-U Carwash Services Gigano Nehemia Agra Saragih; Raswyshnoe Boing Kotjoprayudi; Tora Fahrudin
Al Dzahab Vol. 6 No. 2 (2025): Al Dzahab: Journal of Economics, Management, Business and Accounting
Publisher : Institut Agama Islam Negeri Kerinci

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32939/dhb.v6i2.5714

Abstract

Purpose: This study aims to identify the most suitable digital payment platform for Tel-U Carwash based on students’ preferences and to analyze the factors influencing their platform selection. Design/methodology/approach: This research employs a quantitative approach. Primary data were collected through questionnaires, with a sample size of 100 respondents. The data were analyzed using descriptive statistics and multinomial logistic regression with the assistance of Google Colab. Findings: Bank transfers via QRIS emerged as the most preferred payment platform. Gender was found to have a significant effect on platform choice, while ease of use, security, and transaction speed did not show a significant effect. Research implications: Further exploration of additional factors beyond the indicators examined in this study is necessary to enable service providers to offer payment options that better align with students’ preferences.
Co-Authors Alya Ghaitsa Rizky Pertiwi Anggun Fitrian Isnawati ANGGUNMEKA LUHUR PRASASTI Ardiansyah, Fajri Ashri Dinimaharawati Asniar Asniar Asniar Asniar Azhar Muhammad Fuad Bisono, Eva Firdayanti Buliali, Joko Lianto Dawam Dwi Jatmiko Suwawi Dedy Rahman Wijaya Denny Meilika Setiawati Eka Kristi Silalahi Ersy Ervina Ezra Balqis Alka Ceria Fajri Ardiansyah Fenty Alia Fityanul Akhyar Gigano Nehemia Agra Saragih Gunawan, Tedi Hakim, Dinda Aulia Hanum Yulia Happy Angeliani Purba Hardiansyah, Hendri Hariza, Reisy Hermalia Putri Heru Nugroho Ibnu Asror Istiqomah, Risma Nur Jefri, Mardi Kastaman, Kastaman Katjoprayudi, Raswyshnoe Boing Laksitowening, Kusuma Ayu Ledya Novamizanti Lisna, Shafira Aulia Putri Mahardika Lutvia Maharaja Maria Ulfah Maria Ulfah Marlindia Ike Sari Mera Kartika Delimayanti Mohamad Alfaj’ri Moza Sajidah P Muhammad Galang Fathirkina Muhammad Hablul Barri Muhammad Rayhan Muhammad Rizqy Alfarisi Nabila Setya Utami Nada, Hitna Qotrun Nanda, Aulia Nelsi Wisna Nur Fadila, Egita Nurlatifah, Eva Nurul Asnia, Halida Padma Edhitya Chairunnisafa Priyono Panjaitan, Amanda Ardita Paramita Mayadewi Prajna Deshanta Ibnugraha Pramuko Aji Pratama, Mrupy Agung Putri, Hermalia Putu Harry Gunawan R. Rogers Dwiputra Setiady Rahmadi Rahmadi Rahmadi Rahmadi Raswyshnoe Boing Katjoprayudi Raswyshnoe Boing Kotjoprayudi Razendra Zahran Firdaus Reisy Hariza Renny Sukawati Risma Nur Istiqomah Rita Purnamasari Rizal, Mochammad Fahru ROCHMAWATI Rochmawati Rochmawati Rochmawati Rochmawati Rochmawati Rochmawati, Rochmawati Rokhmatul Insani Ryan Sebastian Forlandito Salmania Putri Salwa Afralia Hevit Samira Samira Saragih, Gigano Nehemia Agra Satria Mandala Sherin Nadya Meideni Siska Komala Sari Sri Astuti Umar Ali Ahmad Umar, Ubaidilah Wahyu Pamungkas Wicaksono, Muhammad Rievnuansyah Widayanti, Asti Yanuar Firdaus Yanuar Firdaus Arie Wibowo Zahrani, Syifa Aulia