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All Journal Seminar Nasional Aplikasi Teknologi Informasi (SNATI) Journal of Information Systems Engineering and Business Intelligence J-SAKTI (Jurnal Sains Komputer dan Informatika) IJISTECH (International Journal Of Information System & Technology) JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) Building of Informatics, Technology and Science Jurnal Mantik Jurnal Abdi Insani International Journal of Engineering, Technology and Natural Sciences (IJETS) JOURNAL OF INFORMATION SYSTEM RESEARCH (JOSH) International Journal of Basic and Applied Science J-SAKTI (Jurnal Sains Komputer dan Informatika) Journal of Tourism Sustainability Jurnal Difusi Journal of Software Engineering, Information and Communication Technology Jurnal Locus Penelitian dan Pengabdian Formosa Journal of Science and Technology (FJST) Jurnal Multidisiplin Indonesia Journal of Public Administration and Local Governance (JPALG)
Cholid Fauzi
Politeknik Negeri Bandung
Aerospace Engineering Agriculture, Biological Sciences & Forestry Humanities Automotive Engineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Mathematics Physics Public Health Social Sciences Veterinary

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A Review Geospatial Artificial Intelligence (GEO-AI): Implementation of Machine Learning on Urban Planning Fauzi, Cholid
Jurnal Multidisiplin Indonesia Vol. 3 No. 1 (2024): Jurnal Multidisiplin Indonesia
Publisher : Riviera Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58344/jmi.v3i1.1057

Abstract

Geospatial Artificial Intelligence (Geo-AI) is an interesting topic in its development and application in our lives. One of them is spatial planning, which contributes to the economic and social development of a region or country. Spatial data is the main thing in this research, which maximizes the effectiveness of land use spatial data on the area as upstream data and develops GIS-based urban planning applications to display the results of analysis and predictions of urban objects automatically. On the other hand, to maximize tourism revenue, the government plans urban areas for both spatial and land use and makes a lot of spatial data based on geographical and environmental conditions. This study will analyze the benefits of Geo-AI in urban planning and the tourism sector. The method used in this study is the Systematic Literature Review (SLR), where the search for the required articles comes from electronic databases obtained using the NVivo software with article sources from Publish or Perish. This study discusses the main steps for the analysis of geospatial data that have been successful in the main areas, namely the development of applications and models, including visualization. By treating issues in geospatial artificial intelligence, the overall aim of the research is to improve the quality of life for Indonesia's growing urban population. The results of the study with the systematic literature review of Geo-AI found a gap in the research implementation of the machine learning model used where five models were compared and relevant to the geospatial dataset displayed in the form of a literature review matrix and visually included in the relevant keywords in the bibliometric analysis. Interdisciplinary results are developing and are urgently needed by both government and private stakeholders in the development of smart cities to prepare spatial planning in urban areas and strategies in optimizing technology in the field of spatial planning in implementing systems based on Geo-AI.
PENGEMBANGAN SITUS WEB UNTUK PENYEBARAN DAKWAH ORGANISASI PEMUDA PERSATUAN ISLAM BANJARAN Wulan, Sri Ratna; Firdaus, Lukmannul Hakim; Maspupah, Asri; Fauzi, Cholid; Wirasta, Wendi; Min, Joe Lian
Jurnal Abdi Insani Vol 11 No 3 (2024): Jurnal Abdi Insani
Publisher : Universitas Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/abdiinsani.v11i3.1779

Abstract

Pemuda Persis, as a part of the Islamic Union, faces the challenge of a demographic in spreading their dakwah. The main issue is the dynamics of member development and participation influenced by demographic, geographic, social, and psychological changes. The current priority for the management is to focus on comprehensive development to create quality cadres. They have created preaching content on YouTube and Instagram but have not effectively reached all members, as seen from the viewership on each platform. The goal of this Community Service Program (PkM) is to develop an Islamic study website as a platform for study and preaching content for Pemuda Persis Banjaran members and the general public. The PkM consists of seven stages: 1) Software needs analysis; 2) Software design; 3) Software development implementation; 4) Installation and testing of the software; 5) Socialization and training; 6) Assistance and evaluation; 7) Software launch. The result of this PkM is a website with a Content Management System (CMS) and a portal to display the dakwah content such as study programs, articles, and news. Three types of users are identified: admin, registered website members, and non-members. Admin can manage articles, new pages, menus, study programs, and study program categories. Additionally, Admin can also view dakwah content frequently accessed by members. Meanwhile, members can manage profiles and view specific member articles. Non-members can only view articles, study programs, and news. The level of user satisfaction with the application is measured using the System Usability Scale (SUS) survey.  The SUS score of 79.3 indicating that the generated website is effective, efficient, and satisfactory. Therefore, it can be concluded that this PkM has significantly contributed well to solving the partner's problem.
Evaluasi Efektivitas Pengendalian Internal Atas Pelaporan Keuangan (PIPK) Dalam Upaya Mewujudkan Good University Governance (GUG) di Perguruan Tinggi X Hastuti; Yusmiati Kusuma; Mia Rosmiati; Ita Susanti; Rina Nurmalina; Cholid Fauzi
Journal of Public Administration and Local Governance Vol. 8 No. 2 (2024): Enhancing Public Service Delivery Through Digital Innovations
Publisher : Universitas Tidar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31002/jpalg.v8i2.2040

Abstract

Pengendalian internal sebagai sebuah proses sistematis memiliki peranan penting dalam terwujudnya visi misi tujuan dan sasaran organisasi. Pada proses penyusunan laporan keuangan diperlukan suatu pengendalian yang mampu memberikan keyakinan yang memadai untuk mewujudkan pengelolaan keuangan yang akuntabel atau yang disebut Pengendalian Intern atas Pelaporan Keuangan (PIPK) yang merupakan implikasi dari diterbitkannya PMK nomor 17/PMK.09/2019. Oleh karena itu, penerapan PIPK sangat penting untuk mewujudkan pengelolaan keuangan yang akuntabel karena hal ini mendukung juga kepada perwujudan Good University Governance (GUG). Perguuran Tinggi X sudah menerapkan PIPK dan pada tahun 2023 telah dinilai oleh Tim Penilai PIPK dari Kemendikbudristek. Dari hasil penilaian didapat masih banyak unsur-unsur pada PIPK Perguruan Tinggi X yang belum lengkap karena tidak didukung oleh bukti/evidence yang memadai. Namun secara keseluruhan tim penilai memberikan penilaian efektif dengan pengecualian, hal ini dikarenakan masih terdapat kelemahan material (material weakness) dan kelemahan signifikan (significant deficiency) yang ditemukan dalam pengendalian internal tingkat entitas (PITE) dan pengendalian umum teknologi informasi dan komunikasi (PUTIK). Berdasarkan hal tersebut maka tujuan dari penelitian ini adalah untuk menganalisis dan memperbaiki kelemahan-kelemahan penerapan PIPK di Perguruan Tinggi X sehingga penilaian PIPK akan mencapai efektif tanpa pengecualian dan diharapkan akan mendorong terwujudnya penerapan prinsip-prinsip GUG. Metode penelitian yang digunakan metode kualitatif eksploratif dengan teknik pengumpulan data melalui FGD, observasi, wawancara, benchmarking dan studi dokumentasi. Analisis data menggunakan aplikasi NVivo 12 Plus. Hasil penelitian menunjukkan bahwa antara PIPK dengan prinsip-prinsip yang terdapat dalam GUG memiiliki keterkaitan yang erat, karena satu sama lain saling melandasi terciptanya sistem pengendalian yang baik yang sesuai dengan prinsip-prinsip Good University Governance. Kata kunci: Pengendalian internal; PIPK; Good University Governance
Integrating Academic Information System Based on Enterprise Architecture using ETL: A Case Study of SIUNU Using the TOGAF ADM Framework Fauzi, Cholid; Pribadi, Didik S; Rifan, Muhammad; Fauziyyah , Fasya Nur; Fadillah, Arsal
Jurnal Locus Penelitian dan Pengabdian Vol. 5 No. 3 (2026): JURNAL LOCUS: Penelitian dan Pengabdian
Publisher : Riviera Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58344/locus.v5i3.5205

Abstract

Nahdlatul Ulama University, which manages multiple institutions, requires an integrated information system to coordinate academic and administrative processes efficiently. However, developing such a system faces challenges related to business process complexity and the need for diverse user role distribution. This study aims to design an integrated academic information system (SIUNU) by combining BPMN business process modeling and RACI matrix analysis to produce a modular, scalable, and accountable system architecture in a multi-campus environment. The research employs a qualitative-descriptive methodology with a case study approach. Business process modeling was conducted using Business Process Model and Notation (BPMN) 2.0 to visually represent workflows. The research produced business process models for five main modules: Authentication (login, forgot password, logout), Academic Dashboard (student data, lecturer data, GPA summaries, tracer studies), Evaluation and Reporting (teaching evaluation), Letter Management (drafting, verification, disposition, archiving), and the MBKM Module (program registration, credit conversion). RACI analysis generated structured role mapping, showing the Super Admin as the primary accountable party for system configuration, PTNU Admin as the operational implementer, Lecturers as academic consultants, and Students as active users of personal data. The integration of BPMN and RACI proved effective in producing an academic information system design framework that is not only technically robust but also organizationally accountable. This research contributes to the development of academic information system literature through an integrative approach and provides a ready-to-implement design for Nahdlatul Ulama University.
Improving SAM-Road Model for Occlusion Handling in Road Networks Extraction from Satellite Images with Gamma Correction and Modified A* Algorithm Fathul'ibad, Mohammad; Firmansyah, Maolana; Syakrani, Nurjannah; Fauzi, Cholid
Journal of Information Systems Engineering and Business Intelligence Vol. 12 No. 1 (2026): February
Publisher : Universitas Airlangga

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Background: Occlusion in satellite imagery often leads to disconnected road networks, reducing the quality and reliability of geospatial data, which in turn hampers infrastructure and transportation planning. Although models like SAM-Road show promising results, they still struggle in handling occluded areas, especially at intersections and curved roads. Some existing methods, such as the extended-line approach, have been proposed to address occlusion; however, they are typically limited to handling linear road segments and are less effective in complex structures. To overcome these limitations, this study enhances the SAM-Road framework by incorporating gamma correction and a modified A algorithm in the post-processing stage. This combined approach improves the visibility of partially hidden roads and successfully reconnects fragmented segments, even in non-linear and occlusion-heavy areas. Objective: This study aims to improve the accuracy of road network extraction by enhancing the SAM-Road model with gamma correction and a modified A* algorithm, specifically to address the problem of occlusion in satellite imagery. Methods: This research adopts a quantitative experimental approach. Gamma correction is applied to enhance the visual contrast of roads in occluded satellite images, while the A pathfinding algorithm is modified to reconnect disjointed road segments. The integrated method is then evaluated using accuracy metrics, specifically the TOPO and APLS (Average Path Length Similarity) scores. Results: The experimental findings indicate that each method—SAM-Road baseline, gamma correction, the modified A* algorithm, and their combination—delivers distinct performance improvements. Gamma correction alone achieves the best results at gamma 1.5 (TOPO 80.61%) and 1.25 (APLS 70.91%) on SpaceNet, and gamma 2.0 (TOPO 78.56%) and 1.25 (APLS 68.73%) on City-scale. The modified A* algorithm performs best at 16/8 (TOPO 80.22%) and 32/16 (APLS 70.71%) on SpaceNet, and 16/8 (TOPO 77.29%) and 64/32 (APLS 70.94%) on City-scale. When combined, the method yields results within the range of TOPO 75.41–80.59% and APLS 67.59–71.17% on SpaceNet, and TOPO 76.52–78.56% and APLS 66.39–71.19% on City-scale. Conclusion: This study concludes that the integration of gamma correction and a modified A* algorithm effectively addresses occlusion-related challenges in satellite imagery. While each technique contributes unique improvements, their combination significantly enhances the accuracy and continuity of extracted road networks—not only in straight road segments such as extended-line method, but also in more complex or occluded areas. The results confirm that this hybrid approach yields road extraction outputs that more closely align with ground truth in terms of topology and structure. Future research could explore integrating gamma correction and the modified A* algorithm directly into the training process, aiming to enhance model performance while maintaining high accuracy.   Keywords: SAM-Road, modified A*, gamma correction, occlusion, road network extraction, satellite imagery, topology, geometry
THE INFLUENCE OF E-SERVICE QUALITY, EASINESS, TRUST OF QUALITY OF INFORMATION, AND SALES PROMOTION ON PURCHASE DECISIONS ON THE TRAVELOKA APPLICATION Azzahra, Diana; Wibowo, Yanuar Firdaus Arie; Fauzi, Cholid
JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) Vol 10, No 2 (2025)
Publisher : STKIP PGRI Tulungagung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29100/jipi.v10i2.6085

Abstract

This research aims to analyze the influence of E-Service Quality, Easiness, Trust in Quality of Information, and Sales Promotion on consumer Purchase Decisions in the Traveloka application. This research also considers whether electronic service quality (E-Service Quality) is a dominant factor in digitizing the Traveloka Online Travel Agent (OTA). The research uses a quantitative approach by applying PLS-SEM (Partial Least Squares Structural Equation Modeling) to analyze complex relationships between variables and validate the reliability and validity of the constructs involved. Data was collected through an online survey distributed via social media to 385 samples with certain criteria, and analysis was carried out on measurement models, structural models, and hypotheses. The research results show that although E-Service Quality, Easiness, Trust in Quality of Information, and Sales Promotion do not have a significant positive effect on purchasing decisions, the ease of use of the Traveloka application significantly increases consumer confidence in the quality of the information provided. Thus, this research makes an important contribution to understanding the factors that influence consumer behavior in the context of the Traveloka application.
Co-Authors Aly Dzulfikar Ani Rahmani Ardhian Ekawijana Asri Maspupah Azzahra, Diana Bakhrun, Akhmad Beri Noviansyah Chandriko Audito Rengganisworo Didik Suwito Pribadi Fadillah, Arsal Fajar Muhammad Sukmawijaya Fathul'ibad, Mohammad Fauziyyah , Fasya Nur Firdaus, Lukmannul Hakim Firmansyah, Maolana Gelar, Trisna Ghifari Munawar Hashri Hayati Hastuti Hastuti Ita Susanti Joe Lian Min Lena Lestary Lukmanul Hakim Firdaus M. Hoeru Riza Mia Rosmiati Min, Joe Lian Mochamad Nauval Ghassani Muhammad Riza Alifi noviansyah, beri Permana, Heru Pratidina, Caturiani Pribadi, Didik S Rifan, Muhammad Rina Nurmalina Safira, Decia Sari, Aprianti Nanda Septyandi, Chandra Budhi Silvia Nur Fadillah Siti Dwi Setiarini Suprihanto Suprihanto Syakrani, Nurjannah Syifaa Novianti Wendi Wirasta Wisnuadhi, Bambang Wulan, Sri Ratna Yanuar Firdaus Arie Wibowo Yusmiati Kusuma