Abstract:Masalah pengelolaan parkir di Politeknik Jambi sering menyebabkan ketidakefisienan akibat sistem penghitungan manual yang rentan human error. Penelitian ini bertujuan merancang sistem penghitungan kendaraan otomatis berbasis…
asis pengolahan citra digital. Metode yang digunakan adalah Background Subtraction dengan algoritma MOG2 dan OpenCV menggunakan video kamera smartphone. Sistem mengintegrasikan proses preprocessing citra, operasi morfologi, dan Euclidean Distance Tracker untuk melacak serta menghitung kendaraan secara real-time. Hasil penelitian menunjukkan sistem mampu membedakan kendaraan yang bergerak dengan objek statis secara akurat melalui Virtual Counting Line. Dengan beban komputasi yang ringan dan biaya rendah, sistem ini efektif menjadi solusi otomatisasi manajemen parkir di lingkungan kampus.
Parking management issues at Politeknik Jambi often lead to inefficiencies due to manual counting systems prone to human error. This study aims to design an automatic vehicle counting system based on digital image processing. The method utilizes Background Subtraction with the MOG2 algorithm and OpenCV using smartphone video input. The system integrates image preprocessing, morphological operations, and Euclidean Distance Tracker to track and count vehicles in real-time. The results demonstrate that the system can accurately distinguish between moving vehicles and static objects via a Virtual Counting Line. With low computational requirements and cost-effectiveness, this system offers an efficient automation solution for campus parking management.
Abstract:The phenomenon of increasing attention toward environmental and sustainability issues has driven companies to improve information transparency, moving beyond mere financial reports to include non-financial disclosures. One…
ne form of this transparency is realized through website-based sustainability reporting, which allows companies to convey sustainability information more openly and accessibly to stakeholders. On the other hand, capital structure decisions remain a fundamental factor that can potentially influence market perceptions of firm value, as they relate to the balance between internal and external funding in supporting operational continuity and growth strategies. This study aims to determine the influence of website-based sustainability reporting and capital structure on firm value through multiple linear regression analysis. Using a quantitative approach and secondary data obtained from annual reports and official company websites, the study focuses on issuers consistently listed in the IDX ESG Leaders index during the 2023–2024 period. The sample selection utilized purposive sampling, resulting in 20 companies with a total of 40 data observations. Firm value was measured using the Tobin’s Q ratio, the level of sustainability reporting disclosure was proxied through the Sustainability Report Disclosure Index (SRDI) based on GRI 2021 standards, and capital structure was measured by the Debt to Equity Ratio (DER). The partial results of the study show that website-based sustainability reporting has a positive coefficient but no significant effect on firm value. Similarly, capital structure shows a positive direction but is not statistically significant. Furthermore, the two variables simultaneously have no significant effect on the firm value of IDX ESG Leaders issuers. These findings indicate that although website-based sustainability disclosure and capital structure tend to have a direct relationship with firm value, the influence is not yet strong enough to significantly affect market valuation within a group of issuers that already meet sustainability criteria. Consequently, the firm value of IDX ESG Leaders issuers is not solely determined by the level of website-based sustainability disclosure or the company's capital structure.
Abstract:This study aims to analyze the response of netizens to the issue of moving the National Capital City (IKN) in the episode "The Fate of the IKN in the Hands of Prabowo and Jokowi's Evaluation of the Head of the IKN, from…
Land Issues to Investment" on TempoDotCo 's YouTube channel Bocor Alus Politik. Through a nethnography approach, this study examines the comments of netizens in response to the issue, revealing various expressions of digital politics, social identity, and criticism of public policy. Using the Public Sphere theory, and media equation theory, this study highlights the dynamics of interaction between satirical media, public opinion, and digital political participation. he results of the study indicate that netizens' comments serve not only as a means of political expression but also as a reflection of collective negotiation and public discourse surrounding IKN policies. The findings indicate three predominant patterns in netizens' opinions. The first is a rejection of the IKN project, encompassing controversies over its development, concerns regarding its potential impacts, and widespread public skepticism. Second, the perspective of governance and leadership, including the management of the capital city and the political situation of Indonesia. and the third development project of the capital city is considered good which includes community support. This research contributes to a new understanding of digital political literacy and the importance of social media platforms in shaping contemporary political discourse. The novelty of this research lies in the use of nethnography to examine public responses in the context of satirical media, which is rarely the focus of political communication studies.
Abstract:The rapid growth of the hotel industry requires hotels to improve operational planning, one of which is by forecasting room reservations. Inaccurate forecasting may cause an imbalance between room availability and customer…
er demand. This study aims to compare the Weighted Moving Average and Single Exponential Smoothing algorithms in forecasting room reservations at Raz Hotel and Convention Medan using historical data from January 2025 to May 2026. The research method consisted of data collection, forecasting using both algorithms, and accuracy evaluation through Mean Absolute Deviation, Mean Squared Error, and Mean Absolute Percentage Error. The results indicate that the Single Exponential Smoothing algorithm achieved a Mean Absolute Percentage Error of 15.24%, which is lower than the 15.63% obtained by the Weighted Moving Average algorithm. Furthermore, the Single Exponential Smoothing algorithm predicted 835.90 room reservations for June 2026. Therefore, it can be concluded that the Single Exponential Smoothing algorithm provides better forecasting accuracy and is more suitable for predicting room reservations at Raz Hotel and Convention Medan.
Abstract:Sales forecasting is a crucial component of operational strategy and inventory management in the culinary industry, particularly for businesses dealing with raw materials that have short shelf lives. The Sate Padang Hapis…
s business faces the challenge of unpredictable monthly fluctuations in consumer demand, which often lead to supply imbalances, overproduction, or lost profit opportunities due to stockouts. This study aims to implement and analyze the accuracy of the Single Moving Average (SMA) quantitative forecasting method in predicting Sate Padang Hapis sales volumes for June 2026. Model performance was evaluated by assessing mathematical accuracy across two time-interval variations: 3-month and 5-month moving averages. Projection error rates were rigorously measured using Mean Absolute Deviation (MAD), Mean Squared Error (MSE), and Mean Absolute Percentage Error (MAPE) parameters. The analysis reveals that the Single Moving Average model with a 5-month interval yields projections closest to actual data, achieving the lowest error rates (MAD: 28.00; MSE: 1,304.00; MAPE: 2.28%). Implementing this forecasting model provides management with an objective basis for decision-making, enabling the effective and efficient optimization of raw material logistics and supply management.
Abstract:Improper rice stock management in wholesale businesses can lead to shortages or overstock that negatively impact operational efficiency. This study aims to forecast rice stock needs at Warung Grosir Giran using the Weighted…
ted Moving Average method with a weighting of 1:2:3, based on historical data from January 2025 to June 2026. A quantitative approach with time series forecasting technique was applied. Accuracy was evaluated using Mean Absolute Deviation, Mean Squared Error, and Mean Absolute Percentage Error. The results show that the forecasted rice stock requirement for July 2026 is 1,456.67 kg. The accuracy evaluation yielded a Mean Absolute Deviation of 78.22, Mean Squared Error of 9,288.15, and Mean Absolute Percentage Error of 5.71%, which is classified as highly accurate. In conclusion, the Weighted Moving Average method is suitable as a decision-support tool for rice stock management at Warung Grosir Giran.
Abstract:Angga Colection adalah sebuah usaha yang bergerak di bidang penjualan fashion, terletak di Jalan Besar Sei Silau Timur, Kabupaten Asahan. Produk fashion yang ditawarkan meliputi baju, celana, tas, sepatu, aksesoris, dan…
gamis. Namun, saat ini Angga Colection menghadapi kesulitan dalam memprediksi permintaan produk fashion karena masih mengandalkan perkiraan dari bagian penjualan. Untuk mengatasi masalah ini, penelitian ini bertujuan untuk menerapkan metode single moving average pada sistem peramalan penjualan produk fashion di Angga Colection. Metode ini melibatkan pengambilan sekelompok nilai pengamatan, mencari nilai rata-rata, dan menggunakan hasilnya sebagai ramalan untuk periode yang akan datang. Penelitian ini menggunakan metode penelitian kuantitatif dan hasilnya menunjukkan bahwa menerapkan metode single moving average pada sistem peramalan penjualan produk fashion di Angga Colection dapat memudahkan proses peramalan dan meningkatkan akurasi prediksi. Dengan demikian, Angga Colection dapat membuat keputusan yang lebih tepat dan efektif dalam menghadapi permintaan produk fashion.
Abstract:Abstract: Palm oil is a key commodity that requires accurate production planning to support budget and operational efficiency. PT Buana Sawit Indah, a company managing palm oil plantations, faces challenges in forecasting…
g future production, necessitating a computerized forecasting system. This study aims to develop a forecasting system using the Single Exponential Smoothing (SES) and Single Moving Average (SMA) methods to predict palm oil production. The results indicate that both methods are effective; however, SMA with a Moving Average (MA) of 5 provides the best forecasting results, with a MAD of 165,941.64, an MSE of 65,823,372,491.27, and an MAPE of 15.66%, categorized as "good" forecasting. Meanwhile, the SES method with α = 0.9 yields the lowest error compared to other alpha values, with a MAD of 154,586.25, an MSE of 33,192,818,696.83, and an MAPE of 16.91%, also classified as "good" forecasting. Based on these findings, the SMA method with MA 5 is recommended as it produces lower forecasting errors than the SES method. Therefore, this forecasting system can assist the company in planning palm oil production more accurately and efficiently, supporting better decision-making in the future.
Keywords: palm oil; forecasting; production; single exponential smoothing; single moving average
Abstrak: Kelapa sawit merupakan komoditas utama yang memerlukan perencanaan produksi yang akurat untuk mendukung efisiensi anggaran dan operasional. PT Buana Sawit Indah, salah satu perusahaan yang mengelola perkebunan kelapa sawit, sedang menghadapi kesulitan dalam memperkirakan hasil produksi di masa mendatang, sehingga diperlukan sistem peramalan berbasis komputer. Penelitian ini bertujuan mengembangkan sistem peramalan menggunakan metode Single Exponential Smoothing (SES) dan Single Moving Average (SMA) untuk memprediksi produksi kelapa sawit. Hasil penelitian menunjukkan bahwa kedua metode cukup efektif, namun SMA dengan Moving Average (MA) 5 memberikan hasil peramalan terbaik dengan nilai MAD sebesar 165.941,64, MSE sebesar 65.823.372.491,27, dan MAPE sebesar 15,66%, yang dikategorikan sebagai peramalan “bagus.†Sementara itu, metode SES dengan α = 0,9 menunjukkan nilai kesalahan lebih rendah dibanding nilai alpha lain, dengan MAD sebesar 154.586,25, MSE sebesar 33.192.818.696,83, dan MAPE sebesar 16,91%, yang juga termasuk kategori peramalan “bagus.†Berdasarkan hasil tersebut, metode SMA dengan MA 5 lebih direkomendasikan karena menghasilkan tingkat kesalahan yang lebih rendah dibandingkan metode SES. Dengan demikian, sistem peramalan ini dapat membantu perusahaan dalam merencanakan produksi kelapa sawit secara lebih akurat dan efisien untuk mendukung pengambilan keputusan yang lebih baik di masa mendatang.
Kata kunci: kelapa sawit; peramalan; produksi; single exponential smoothing; single moving average
Abstract:Abstract: Roemah Donat Lezat carries out many sales transactions every day because the prices are affordable and the flavors and toppings are increasingly varied, this affects the supply of raw materials at Roemah Donat…
Lezat In managing raw material inventory, you must ensure sufficient inventory for sales, minimizing the time and costs required. So far, the owner of Roemah Donat Lezat does not have a method for anticipating how much supply of basic ingredients there is and only predicts without clear and precise calculations, therefore, sometimes Roemah Donat Lezat takes too little stock even though customer needs at the time the trend is increasing, causing no fulfilling customer requests and sometimes taking too much stock even though customer demand is decreasing resulting in losses, therefore Roemah Donat Lezat always finds it difficult and confused to estimate stock supplies for the following month To overcome the problems above, the author provides a solution using method comparison forecasting calculations, because it can provide a deeper and more detailed understanding of the advantages, weaknesses and relative performance of the two methods used to achieve a goal or solve a problem The method used is Single Exponential Smoothing, which is forecasting used for the short term or usually only for the next month Single Moving Average is a technique for calculating the average of a number from the latest actual values, updated as new values available for use in forecasting in subsequent periods.
Keywords: single exponential smoothing-single moving average; forecasting; roemah donat lezat; raw materials; inventory
Abstrak: Roemah Donat Lezat setiap harinya banyak melakukan transaksi penjualan karena harga terjangkau dan semakin bervariasi rasa dan topping, hal ini mempengaruhi persediaan bahan baku jika ada di Roemah Donat Lezat Dalam pengelolaan persediaan bahan baku harus memastikan persediaan jika cukup dalam penjualan, meminimalkan waktu dan biaya jika dibutuhkan.Selama ini pemilik Roemah Donat Lezat tidak memiliki metode dalam mengantisipasi seberapa banyak persediaan bahan-bahan pokok dan hanya memprediksi tanpa adanya perhitungan jika jelas dan tepat maka dari itu, terkadang Roemah Donat Lezat terlalu sedikit mengambil stok padahal kebutuhan pelanggan waktu trend itu sedang meningkat menyebabkan tidak terpenuhinya permintaan pelanggan dan kadang-kadang juga cenderung mengambil terlalu banyak stok meskipun permintaan Pelanggan sedang mengalami penurunan sehingga mengalami kerugian, Sehingga Roemah Donat Lezat selalu menghadapi kesulitan dan kebingungan dalam memperkirakan persediaan stok di bulan berikutnya. Solusi dari permasalahan tersebut yaitu dengan memanfaatkan perhitungan peramalan komparasi metode, kita dapat memperoleh pemahaman yang lebih mendalam dan rinci mengenai kelebihan, kekurangan, serta kinerja relatif dari dua metode yang digunakan untuk mencapai suatu tujuan atau menyelesaikan masalah. Metode yang dibandingkan adalah Single Exponential Smoothing dan Single Moving Average.
Kata kunci: single exponential smoothing-single moving average; peramalan; roemah donat lezat; bahan baku; persediaan
Abstract:Abstract: Bismillah Ponsel in Kisaran Kota faces challenges in managing internet voucher stock due to inefficient manual recording and limited active period. To overcome this problem, the application of the Single Moving…
Average (SMA) forecasting method is proposed to predict stock needs based on historical data. Thus, business owners can manage stock more optimally, avoid shortages or excess inventory, and improve business efficiency and finances. The results of the application of the SMA method show the prediction of voucher stock needs for April and May with fairly good Mean Absolute Percentage Error (MAPE) accuracy. For IM3 vouchers, the stock predictions for each month are 244 and 244.5 (MAPE 8.21%). Axis vouchers as many as 798 (MAPE 5.02%), XL as many as 713 and 724.5 (MAPE 5.02%), Telkomsel as many as 942 and 951 (MAPE 3.23%), Tri as many as 490 and 491 (MAPE 7.94%), and Smartfren as many as 656 and 664 (MAPE 5.38%). With quite high accuracy, the SMA method has proven to be able to predict sales quickly and accurately, help provide stock according to needs, and increase the operational efficiency of Bismillah Ponsel.
Keywords: inventory; management; sales; forecasting; single moving average (SMA).
Abstrak: Bismillah Ponsel di Kisaran Kota menghadapi tantangan dalam pengelolaan stok voucher internet akibat pencatatan manual yang tidak efisien dan masa aktif terbatas. Untuk mengatasi masalah ini, diusulkan penerapan metode peramalan Single Moving Average (SMA) guna memprediksi kebutuhan stok berdasarkan data historis. Dengan demikian, pemilik usaha dapat mengelola stok lebih optimal, menghindari kekurangan atau kelebihan persediaan, serta meningkatkan efisiensi dan keuangan bisnis.Hasil penerapan metode SMA menunjukkan prediksi kebutuhan stok voucher untuk April dan Mei dengan akurasi Mean Absolute Percentage Error (MAPE) yang cukup baik. Untuk voucher IM3, prediksi stok masing-masing bulan adalah 244 dan 244,5 (MAPE 8,21%). Voucher Axis sebanyak 798 (MAPE 5,02%), XL sebanyak 713 dan 724,5 (MAPE 5,02%), Telkomsel sebanyak 942 dan 951 (MAPE 3,23%), Tri sebanyak 490 dan 491 (MAPE 7,94%), serta Smartfren sebanyak 656 dan 664 (MAPE 5,38%). Dengan akurasi yang cukup tinggi, metode SMA terbukti mampu meramalkan penjualan secara cepat dan akurat, membantu penyediaan stok sesuai kebutuhan, serta meningkatkan efisiensi operasional Bismillah Ponsel.
Kata Kunci: manajemen; persediaan; peramalan; penjualan; single moving average (SMA