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Customer Data Management For Citynet Using Geolocation-Based Internet Broadband Registration Form Application Alfiano Aldo Pamungkas; Kustiyono
INOVTEK Polbeng - Seri Informatika Vol. 10 No. 1 (2025): March
Publisher : P3M Politeknik Negeri Bengkalis

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35314/60hw1d67

Abstract

This study aims to address the inefficiencies in CityNet's customer data management by developing a geolocation-based registration form application. Currently, CityNet relies on Google Forms for data collection and WhatsApp for location sharing, leading to inaccuracies, inefficiencies, and delays in the installation process. The proposed system integrates geolocation to automatically capture customer locations, reducing input errors and streamlining data processing. This research follows the waterfall development model, encompassing needs analysis, system design, implementation, and usability testing involving CityNet administrators and customers. The results indicate an 80% reduction in input errors and a 30% improvement in operational efficiency. Additionally, the system seamlessly integrates with Google Spreadsheet, Telegram, and email, ensuring real-time data synchronisation and faster response times. While the application significantly enhances CityNet's operational workflow, challenges such as user adoption and dependency on internet connectivity remain. This study provides a scalable solution for broadband providers seeking efficient customer data management with location-based automation.
An Evaluation of the Accounting Information System of BUMDes Maju Rahayu Kustiyono Kustiyono
International Journal of Economics and Management Sciences Vol. 2 No. 4 (2025): November : International Journal of Economics and Management Sciences
Publisher : Asosiasi Riset Ekonomi dan Akuntansi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/ijems.v2i4.1013

Abstract

Village-Owned Enterprises (BUMDes) function as important economic institutions that contribute to enhancing the welfare and independence of rural communities. BUMDes Maju Rahayu, as one of the rapidly developing BUMDes, requires a reliable and effective accounting information system to support transparent and accountable financial management. This study aims to evaluate the implementation of the accounting information system at BUMDes Maju Rahayu using a qualitative approach with a case study method. Data collection was conducted through in-depth interviews with BUMDes managers and direct observation of financial recording and reporting processes. The findings reveal that the existing accounting system still faces several challenges, including incomplete documentation, limited internal control, and dependence on manual bookkeeping. These issues hinder the accuracy and timeliness of financial information. The study recommends capacity-building for human resources, adoption of technology-based accounting systems, and strengthening of internal control procedures to improve financial management quality and organizational performance in BUMDes operations.
Pengembangan Sistem Informasi Persediaan Barang Menggunakan Model Waterfall untuk Meningkatkan Efisiensi Pengelolaan Stok Fathoni, Muhammad; kustiyono
Jurnal Algoritma Vol 22 No 2 (2025): Jurnal Algoritma
Publisher : Institut Teknologi Garut

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33364/algoritma/v.22-2.2533

Abstract

This study addresses stock-management challenges at Toko Sinar Mulia, where inventory processes are still performed manually and are prone to errors, by designing a web-based inventory system using the Laravel framework. Adopting the Waterfall model within the Software Development Life Cycle (SDLC), the information system aims to improve the efficiency and accuracy of stock recording and management. The main contribution of this research is providing a structured solution for digitizing inventory management, which previously lacked automation, thereby supporting more effective decision-making and store operations.
Prediksi Kepadatan Sampah Menggunakan Metode Regresi Linear Berbasis Web gulo, titusman; Kustiyono
Jurnal Algoritma Vol 22 No 2 (2025): Jurnal Algoritma
Publisher : Institut Teknologi Garut

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33364/algoritma/v.22-2.2550

Abstract

The issue of household waste is a crucial issue that has a direct impact on environmental cleanliness and public health. This study aims to develop a web-based household waste density prediction system using the Laravel framework, employing linear regression to model the relationship between time and waste volume. The research data was obtained through a survey of a number of families who recorded their weekly waste volume in kilograms. This system is designed to provide estimates of waste volume for the following week based on historical data patterns, thereby helping the community and environmental managers at the neighborhood association (RT/RW) level to plan waste collection and transportation more efficiently. The linear regression method was chosen because it is simple yet effective in describing trends in waste volume changes over time. The implementation results show that the system is capable of producing predictions that are close to actual conditions, equipped with informative graphics and a user-friendly interface. With this system, household waste management can be carried out in a more planned, efficient, and data-driven manner.
Sistem Prediksi Kemacetan di Jalan Desa Menggunakan Metode Rule-Based System Ghufronul A, M Mufti; Kustiyono
Jurnal Algoritma Vol 22 No 2 (2025): Jurnal Algoritma
Publisher : Institut Teknologi Garut

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33364/algoritma/v.22-2.2555

Abstract

Traffic congestion does not only occur in urban areas, but is also beginning to be felt in rural areas, especially on main roads connecting villages. This condition can hamper community mobility and inter-regional logistics distribution. To overcome this problem, this study specifically designed and implemented a congestion prediction system on village roads by utilizing historical traffic data, weather conditions, and community activities as the main parameters. The classification method used is the Rule-Based System algorithm. The results of this system can be used by village governments or local transportation managers to take preventive measures, such as adjusting logistics distribution schedules or deploying traffic officers. The system was tested in a village in Central Java, with a prediction accuracy of 87%. These results demonstrate the system's potential in assisting traffic management in villages.
Unlocking the Potential of Metaverse Technology: A Novel Approach to Enhancing Digital Skills and Collaboration in Virtual Workspaces Kustiyono Kustiyono; Asrini Mahdia; Dedi Muliadi; Abeda Muhammad Iqbal
Management Dynamics: International Journal of Management and Digital Sciences Vol. 1 No. 2 (2024): April: International Journal of Management and Digital Sciences
Publisher : International Forum of Researchers and Lecturers

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70062/managementdynamics.v1i2.483

Abstract

The integration of metaverse technology in employee training has the potential to significantly enhance digital skills, collaboration, and overall learning outcomes in virtual workspaces. This study explores the effectiveness of metaverse-based training compared to traditional methods, focusing on participant engagement, learning retention, and practical application in immersive virtual environments. The results indicate that metaverse technology leads to increased participant engagement, offering real-time communication, interactive simulations, and realistic task scenarios that foster deeper involvement and better skill acquisition. Additionally, the immersive nature of metaverse platforms improves learning effectiveness, especially for high-risk tasks such as medical procedures and technical skills that benefit from hands-on experience. However, challenges such as technological barriers, infrastructure limitations, and initial resistance from employees were identified, requiring organizations to provide adequate support and training for smooth adoption. While the upfront costs of developing and maintaining metaverse training platforms are significant, the long-term benefits—such as scalability, reduced need for physical resources, and enhanced training outcomes—outweigh these initial investments. Organizations looking to implement metaverse-based training solutions should carefully consider the required technological infrastructure, support for employees, and privacy concerns. Future research should explore advancements in metaverse technology, including AI integration, and investigate the broader adoption of these technologies across various industries, focusing on overcoming adoption barriers and measuring their long-term impact on workforce development.
Sistem Manajemen Order dan Pencatatan Keuangan Berbasis Website untuk Layanan Jasa Produk Digital di Startup Putra, Irvan Pratama; Kustiyono
Jurnal Sistem Informasi Akuntansi Vol 7 No 1 (2026): : Periode Maret 2026
Publisher : LPPM Universitas Bina Sarana Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31294/justian.v7i1.12194

Abstract

Digital product services in startups and small businesses still face many problems in order management and financial recording, which are carried out manually or using separate applications. This reduces work efficiency and increases the risk of recording errors and difficulties in monitoring order and financial status. This study aims to create an integrated web-based digital order management and recording system to assist in the management of digital product services. The research methods used were observation and interviews to analyze system requirements, while the system development method used the Waterfall model of the Software Development Life Cycle (SDLC). System testing was conducted using the black box testing method to ensure that all functions ran according to requirements. The results of the study show that the developed system is capable of improving the efficiency of order management and financial recording processes, as well as increasing data accuracy by minimizing recording errors and data duplication. The integration of order and financial data makes it easier for business owners to monitor work progress and financial conditions in real-time. Thus, this system can be an effective solution in supporting the management of digital product service businesses in a more structured and integrated manner.
Implementasi dan Evaluasi Sistem Informasi Manajemen Keuangan UMKM Berbasis Digital di Kabupaten Semarang Menggunakan Pendekatan Design Science Research Kustiyono; Agung Wibowo; Ajeng Ramadhanti Syafitri
Jurnal Informatika dan Kesehatan Vol. 3 No. 1 (2026): IKN : Jurnal Informatika dan Kesehatan
Publisher : Universitas Ngudi Waluyo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35473/ikn.v3i1.4993

Abstract

Micro, Small, and Medium Enterprises (MSMEs) in Kabupaten Semarang play a strategic role in the regional economy; however, they still face challenges in transaction recording and financial statement preparation. Many MSMEs have not implemented a structured financial management information system, resulting in financial information that is neither accurate nor timely. This study aims to implement and evaluate a digital-based accounting management information system for MSMEs developed using the Design Science Research (DSR) approach. The DSR method was applied through the stages of problem identification, definition of solution objectives, design and development, demonstration, and evaluation. The results indicate that the implemented financial management information system improves the accuracy of financial record-keeping, enhances the efficiency of financial report preparation, and supports managerial decision-making within MSMEs. This study provides practical contributions for MSMEs in Kabupaten Semarang and academic contributions to the development of financial management information system research based on the DSR approach.   ABSTRAK Usaha Mikro, Kecil, dan Menengah (UMKM) di Kabupaten Semarang memiliki peran strategis dalam perekonomian daerah, namun masih menghadapi permasalahan dalam pencatatan transaksi dan penyusunan laporan keuangan. Banyak UMKM belum menerapkan sistem informasi manajemen keuangan yang terstruktur sehingga  informasi manajemen keuangan tidak tersedia secara akurat dan tepat waktu. Penelitian ini bertujuan untuk mengimplementasikan dan mengevaluasi sistem informasi manajemen akuntansi UMKM berbasis digital yang telah dikembangkan dengan menggunakan pendekatan Design Science Research (DSR). Metode DSR diterapkan melalui tahapan identifikasi masalah, penentuan tujuan solusi, perancangan dan pengembangan, ujicoba, serta evaluasi. Hasil penelitian menunjukkan bahwa sistem informasi manajemen keuangan yang diimplementasikan mampu meningkatkan akurasi pencatatan keuangan, efisiensi penyusunan laporan, serta mendukung pengambilan keputusan manajerial UMKM. Penelitian ini memberikan kontribusi praktis bagi UMKM di Kabupaten Semarang dan kontribusi akademik dalam pengembangan penelitian sistem informasi manajemen keuangan berbasis DSR.
Exploring Multimodal AI Frameworks for Real‑Time Decision Making in Edge Devices Darmin Darmin; Imam Taufik; Miswadi Miswadi; Kustiyono Kustiyono; Sahlan M. Saleh
Jurnal Ar Ro'is Mandalika (Armada) Vol. 6 No. 2 (2026): JURNAL AR RO'IS MANDALIKA (ARMADA)
Publisher : Institut Penelitian dan Pengembangan Mandalika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59613/armada.v6i2.6057

Abstract

The rapid advancement of Artificial Intelligence (AI) and edge computing has driven the demand for intelligent systems capable of real-time decision making under limited computational resources. In particular, multimodal AI, which integrates heterogeneous data sources such as visual, audio, and sensor signals, plays a crucial role in enhancing contextual awareness and decision accuracy at the edge. This study aims to explore and conceptualize a multimodal AI framework that supports real-time decision making on edge devices while addressing challenges related to resource constraints, data privacy, and decision transparency. The research adopts a qualitative literature review approach, employing a Systematic Literature Review (SLR) method to analyze relevant studies published between 2018 and 2025. Data were collected from reputable academic databases and analyzed using thematic content analysis to identify key architectural components, fusion strategies, optimization techniques, and privacy-preserving mechanisms. The findings indicate that hybrid multimodal fusion, combined with model compression, dynamic inference, and federated learning, significantly improves efficiency, privacy protection, and explainability in edge-based AI systems. This study contributes a comprehensive conceptual framework that can guide future development and deployment of adaptive, efficient, and trustworthy multimodal AI solutions for real-time edge intelligence applications.
Dorongan Terhadap Upaya Kearifan Lokal dalam Memengaruhi Keputusan Investasi Digital Didasarkan Pada Literasi Keuangan Digital dan Financial Technology Indraningtyas, Yeni; Kustiyono; Sundari, Pipit; Siswati, Ari; Avianda Nurcahyo, Satria; Ali, Ahmad
Majalah Ilmiah DIAN ILMU Vol 25 No 2 (2026): MAJALAH ILMIAH "DIAN ILMU" APRIL 2026
Publisher : Sekolah Tinggi Ilmu Administrasi (STIA) Pembangunan Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37849/midi.v25i2.503

Abstract

Penelitian ini bertujuan untuk mengidentifikasi dan menganalisis faktor-faktor yang mempengaruhi keputusan investasi digital, tinjauan literasi keuangan digital, dan teknologi keuangan yang dimediasi oleh kearifan lokal. Selain itu, penelitian ini menyajikan model dasar baru dalam upaya mengisi ruang terbatas pada isu keputusan investasi digital dari penelitian sebelumnya. Secara umum, keputusan investasi dipengaruhi melalui pendekatan rasional, dalam penelitian ini unsur-unsur budaya filosofis Jawa " nastiti dan ati-ati " diuji untuk mengetahui dampaknya terhadap pengambilan keputusan investasi digital. Penelitian ini bertujuan untuk menguji secara empiris penentuan faktor-faktor yang mempengaruhi keputusan investasi digital dalam tinjauan literasi keuangan digital dan teknologi keuangan yang dimediasi oleh kearifan lokal. Selain itu, penelitian ini menyajikan model dasar baru dalam upaya mengisi ruang terbatas pada isu keputusan investasi digital dari penelitian yang telah dilakukan sebelumnya. Metode kuantitatif dipilih dalam penelitian ini untuk mewakili fenomena keputusan investasi keuangan digital Generasi X, Y dan Z di Indonesia. Data dalam penelitian ini diperoleh melalui penyebaran kuesioner dan dikumpulkan, total 207 responden dengan teknik pengambilan sampel acak sederhana dan snowball. Berdasarkan temuan penelitian ini, terlihat bahwa terdapat pengaruh langsung financial technology dan kearifan lokal terhadap keputusan investasi digital, sedangkan literasi keuangan digital tidak berpengaruh terhadap keputusan investasi digital. Pengaruh tidak langsung ditunjukkan pada variabel literasi keuangan dan financial technology melalui kearifan lokal terhadap keputusan investasi digital.