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All Journal ACCOUNTIA JOURNAL Accounting Trusted, Inspiring, Aunthentic Journal Jurnal Pengabdian Masyarakat Nusantara International Journal Software Engineering and Computer Science (IJSECS)
NURHIDAYATI, SAFITRI
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Humanities Computer Science & IT Economics, Econometrics & Finance Social Sciences

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SELISIH BIAYA PRODUKSI SEBAGAI ALAT PENGENDALIAN MANAJEMEN PT INDO PUSAKA BERAU NURHIDAYATI, SAFITRI; SYAM, RIZKI AMELYA
AKUNTIA JURNAL Jurnal Akuntansi, Terpercaya, Menginspirasi dan Asli Vol 3 No 02 (2019): Accountia Journal Volume 3 No.02 Oktober 2019
Publisher : ACCOUNTING STUDY PROGRAM, STIE MUHAMMADIYAH TANJUNG REDEB

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (196.189 KB) | DOI: 10.35915/accountia.v3i02.382

Abstract

This study aims to analyze whether the difference that occurs in the cost of raw materials, direct labor, and factory overhead costs between the standard costs and the actual costs in PLTU LATI is a difference that is favorable or unfavorable. Data collection techniques with field research and library research. The analytical tool used is the analysis of the difference in raw material costs, the difference in direct labor costs and the difference in factory overhead costs. The hypothesis in this study is that the difference allegedly occurs in the cost of raw materials, direct labor costs, and factory overhead costs at PT Indo Pusaka Berau Tanjung Redeb is a favorable difference. The results showed that the difference in the cost of producing MWh electricity at PT Indo Pusaka Berau Tanjung Redeb in 2018, namely the difference in the price of raw material costs Rp. 548,029.80, - is favorable, the difference in quantity of raw materials is Rp. 957,216,602, - is (favorable) , the difference in direct labor costs Rp 2,602,642,084, - is (unfavorable), and the difference in factory overhead costs Rp 8,807,051,422, - is (favorable) This shows that the difference in the overall production cost budget is favorable or profitable. This beneficial difference shows that the company is really able to reduce production costs optimally in 2018.  
Optimizing E-commerce Inventory to prevent Stock Outs using the Random Forest Algorithm Approach Ridwan, Achmad; Muzakir, Ully; Nurhidayati, Safitri
International Journal Software Engineering and Computer Science (IJSECS) Vol. 4 No. 1 (2024): APRIL 2024
Publisher : Lembaga Komunitas Informasi Teknologi Aceh (KITA)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/ijsecs.v4i1.2326

Abstract

This research investigates the effectiveness of the Random Forest algorithm in optimizing e-commerce inventory management. In a digital business that continues to grow, inventory management is crucial for smooth operations and customer satisfaction. The Random Forest algorithm, a development of the CART method by applying bagging techniques and random feature selection, was tested to predict inventory. An experimental design is used to test the algorithm's performance algorithms performance, using data relevant to the observed inventory variables. The analysis involves evaluating the performance of algorithms in predicting and preventing stockouts. The results show that the Random Forest algorithm provides more accurate inventory predictions than traditional methods. Comparison with linear and rule-based regression reveals higher accuracy, making this algorithm a promising choice for e-commerce inventory management. These findings imply that the Random Forest Algorithm can be an effective solution in overcoming the complexity and fluctuations of digital markets. Practical recommendations include a deep understanding of the data, engagement of trained human resources, and training strategies for optimal use of these algorithms. This research also contributes to the literature by expanding understanding of the application of the Random Forest algorithm in various contexts, including forest basal area prediction, supply chain management, and backorder prediction. In conclusion, the Random Forest algorithm has great potential to improve e-commerce inventory management, opening up opportunities for broader application in the digital business world. Proactive adoption of these algorithms can have a positive impact on operational efficiency, customer satisfaction, and a company's competitiveness in an ever-evolving market.
Optimization of Hospital Queue Management Using Priority Queue Algorithm and Reinforcement Learning for Emergency Service Prioritization Adhicandra, Iwan; Nurhidayati, Safitri; Fauzan, Tribowo Rachmat
International Journal Software Engineering and Computer Science (IJSECS) Vol. 4 No. 2 (2024): AUGUST 2024
Publisher : Lembaga Komunitas Informasi Teknologi Aceh (KITA)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/ijsecs.v4i2.2772

Abstract

This study aims to develop and implement an efficient hospital queue management system by integrating the Priority Queue algorithm with Reinforcement Learning (RL). The primary objective is to enhance the prioritization of emergency patients, ensuring that those with the most critical conditions receive timely care. The Priority Queue algorithm facilitates the sorting of patients based on the severity of their medical conditions, while RL enables the system to continuously learn and optimize the queue management process using historical data and real-time feedback. The research methodology includes data collection from hospital queues, algorithm model development, and simulated and real-world data validation. The results demonstrate that the combination of these algorithms significantly reduces waiting times for emergency patients and improves overall hospital operational efficiency. Additionally, implementing this algorithm has increased patient satisfaction due to shorter wait times and more timely services. The study concludes that the Priority Queue algorithm enhanced by RL is an effective solution for hospital queue management and recommends further research on larger scales and with more complex algorithms.
Pelatihan Branding Digital dan Repackaging Produk UMKM di Desa Pilanjau Nurhidayati, Safitri; Adi Purwanto, Sayugo; Kania Indraswari, Dara; Sulpadli, Sulpadli; Nurhaliza, Nurhaliza
Jurnal Pengabdian Masyarakat Nusantara (JPMN) Vol. 5 No. 1 (2025): Februari - Juli 2025
Publisher : Lembaga Otonom Lembaga Informasi dan Riset Indonesia (KITA INFO dan RISET)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/jpmn.v5i1.4893

Abstract

Given the increasingly competitive nature of the workplace and business world, micro, small, and medium-sized enterprises (MSMEs) are being challenged to adapt to technological advancements, evolving mindsets, and consumer preferences in today's modern era. Current evidence suggests that many MSMEs have yet to address digital branding and product repackaging. Digital branding is the process of creating and managing a brand's identity and reputation online. This process involves using various digital channels and tools to promote a brand, engage customers, and build a strong online presence. Repackaging refers to the act of putting something into new packaging or a new container. It is the process of changing a product's original packaging, often for various strategic reasons. The Pilanjau Village MSME Product Digital Branding and Repackaging Training was successfully implemented and received a positive response from the participants, the majority of whom were local MSMEs. Through this activity, participants gained fundamental knowledge and practical skills regarding the importance of digitally building a brand identity (branding) and how to repackage products to create a more attractive and professional appearance. This training successfully opened participants' minds to the fact that branding and packaging are not merely about appearance, but are strategic elements in increasing product competitiveness in the modern marketplace, both offline and online. Going forward, further mentoring is needed to ensure participants can consistently implement the knowledge gained in their businesses.
Co-Authors Achmad Ridwan, Achmad Adi Purwanto, Sayugo Fauzan, Tribowo Rachmat Iwan Adhicandra Kania Indraswari, Dara Nurhaliza, Nurhaliza Sulpadli, Sulpadli SYAM, RIZKI AMELYA Ully Muzakir