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Journal : Innotech

Prediksi Pertumbuhan Jumlah UMKM di Jawa Barat Menuju Indonesia Emas 2045 Menggunakan Regresi Linear Issa Wirakusumah, Raden Mochamad; Hesananda, Rizki
Innotech: Jurnal Ilmu Komputer, Sistem Informasi dan Teknologi Informasi Vol 2 No 1 (2025): Innotech Issue Januari 2025
Publisher : Universitas Siber Indonesia

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Abstract

This research delves into the projection of the number of Micro, Small, and Medium Enterprises (MSMEs) in West Java, employing the methodology of linear regression. The study utilizes open data from West Java to analyze factors influencing MSME growth, such as government support, infrastructure, financial access, and demographic characteristics. The regression model is formulated, trained, and optimized to project MSME growth up to the year 2045, aligning with the vision of Indonesia Emas. The results reveal a significant upward trend in MSME numbers, particularly evident in regions like Bogor, under the auspices of West Java. The collaborative efforts of provincial and local governments, supported by effective policies, contribute to the optimistic projections. The study's findings underscore the pivotal role of sustained collaboration and adaptive policies in fostering a conducive environment for MSMEs. As Indonesia strives for economic growth and inclusivity, understanding the dynamics of MSMEs becomes instrumental. This research aims to guide policymakers in formulating strategic interventions for the sustainable development of MSMEs, ensuring their central role in the realization of Indonesia Emas by 2045.
MENINGKATKAN EFISIENSI DALAM REKONSILIASI KAS ATM: IMPLEMENTASI SISTEM INFORMASI BERBASIS WEBSITE Hesananda, Rizki; Mulyawan, Yudhi
Innotech: Jurnal Ilmu Komputer, Sistem Informasi dan Teknologi Informasi Vol 1 No 2 (2024): Innotech Issue Juli 2024
Publisher : Universitas Siber Indonesia

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This research aims to develop a web-based ATM cash reconciliation information system at PT. Bank Rakyat Indonesia, Tbk. Currently, the ATM cash reconciliation process is manually performed using Excel files, which are prone to errors and time-consuming. In this context, the development of an information system is crucial to enhance the efficiency and accuracy of the reconciliation process. The research methodology employed the Waterfall software development model. The stages of the research included requirements analysis, system design, implementation, and testing. Data were collected through interviews, observations, and document analysis from the ATM Cash Reconciliation Division. The system implementation utilized PHP for web development and MySQL as the database. The results of the study indicate that the implementation of the system successfully reduced the reconciliation process time from an average of 35 minutes to just 8 minutes per case. The system also improved data accuracy and enhanced information accessibility for involved staff. Another advantage is the reduction in potential human errors that frequently occurred in the previous manual process. Despite achieving significant advantages, the implementation of this system also faced challenges in adopting new technology and existing technological limitations. These challenges require change management strategies and continuous improvement to support optimal system use in the future. In conclusion, the implementation of the web-based ATM cash reconciliation information system at PT. Bank Rakyat Indonesia, Tbk. provides a significant contribution to improving efficiency, accuracy, and data accessibility. This system has the potential to serve as a strong foundation in supporting the operations of the ATM Cash Reconciliation Division in the company.
IMPLEMENTASI GOOGLE LOOKER STUDIO UNTUK ANALISIS TREN DAN VISUALISASI DATA (STUDI KASUS: PRODUKSI PADI PULAU SUMATERA) Hesananda, Rizki; Faizal Racma, Dhany
Innotech: Jurnal Ilmu Komputer, Sistem Informasi dan Teknologi Informasi Vol 1 No 2 (2024): Innotech Issue Juli 2024
Publisher : Universitas Siber Indonesia

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Abstract

This study analyzes rice production outcomes in Sumatra Island from 1995 to 2020 using data obtained from Kaggle and the Indonesian Agency for Meteorology, Climatology, and Geophysics (BMKG). The dataset includes annual rice production, harvested area, and climate variables such as rainfall, humidity, and average temperature. Analysis was conducted using Google Looker Studio to generate various visualizations facilitating data interpretation. The findings reveal that North Sumatra Province has the highest rice production, followed by South Sumatra and Lampung. While rainfall does not consistently correlate with rice production, a strong relationship was observed between harvested area and rice yields, underscoring the importance of efficient land management and agricultural practices. The study also identifies a decline in rice production across provinces since 2017. Limitations include the restricted data period up to 2020 and the exclusion of variables such as government policies and agricultural technology. Future research should expand data coverage, consider additional variables, and employ advanced predictive model.