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    Analisis Financial Distress Menggunakan Metode Altman Z-Score Dan Grover G-Score Pada Perusahaan Property Dan Real Estate Yang Terdaftar Di Bei Periode 2018-2023

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    This study aims to determine the prediction of potential financial difficulties or financial pressures in property and real estate companies listed on the Indonesia Stock Exchange using the Altman Z-Score and Grover G-Score methods in 2018 to 2023. The population used in this study were property and real estate companies listed on the Indonesia Stock Exchange. In selecting the sample using a non-probability sampling technique so that 43 companies were selected as samples. The research used was quantitative research with descriptive analysis. Statistical analysis in this study used the calculation of the company's financial ratios from each bankruptcy method. The results of the study using the Altman method showed 3 companies in distress, 11 companies in gray area conditions and 29 companies in non-distress conditions. While the results of the study using the Grover method showed 4 companies in distress, 1 company in gray area conditions and 38 companies in non-distress conditions. Both research models produce different bankruptcy potentials for each period, only a few predictions produce similarities in determining financial conditions in each period. Keywords: Financial distress, Altman Z-Score, Grover G-Scor

    Perancangan Website Pencarian Kos Berbasis Lokasi Menggunakan Pendekatan Agile

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    Kebutuhan akan akomodasi sementara seperti kosan semakin bertambah di wilayah perkotaan. Namun, mencari informasi mengenai rumah kos secara manual sering kali menyulitkan calon penyewa akibat keterbatasan data dan waktu. Oleh karena itu dibutuhkan sebuah situs web pencarian tempat tinggal berbasis lokasi yang disebut KosanFinder.  Metode pengembangan yang diterapkan dalam penelitian ini adalah Agile, yang memungkinkan dilakukannya proses bertahap dan perbaikan secara terus-menerus selama tahap pengembangan sistem. Situs web ini juga dikembangkan dengan memanfaatkan teknologi HTML, CSS, dan JavaScript pada bagian tampilan depan, serta Node.js dan Express.js pada bagian backend yang terhubung ke database MySQL. Hasil dari penelitian menunjukkan bahwa KosanFinder memudahkan proses pencarian kosan serta pengelolaan data dalam format digital

    Application of Material Judgment Monitoring The TBR Plant Division Uses RFID and MES (Manufacturing Execution System) Methods: Penerapan Material Judgment Monitoring Divisi Pabrik TBR Menggunakan Metode RFID dan MES (Manufacturing Execution System)

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    With great advances in the world of information technology in the industrial era 4.0, efficiency and accuracy in the production process are crucial factors to increase the company's competitiveness. One of the important aspects is material monitoring, especially in the material judgement process in the TBR Plant (Truck and Bus Radial) Division, which requires an information system that supports the material assessment, starting from the hold process, judgement, making reports on the results of the TBR judging plant monitoring to superiors. This study aims to design and develop a material judgement monitoring application based on RFID (Radio Frequency Identification) technology integrated with the MES (Manufacturing Execution System) system to unravel errors in data control, inaccurate reports, and delays in finding the required data are all the results of manual systems. With the application of RFID, every material can be tracked in real time from the inspection process to the production line. Integration with MES enables data synchronization between production systems and enterprise information systems, supporting fast and accurate decision-making. The results of the implementation show an increase in the efficiency of material recording time, the accuracy of data judgement, and the reduction of human error in the tracking process. This application is expected to be an effective digital solution in supporting a more transparent, efficient, and digitized production system in the manufacturing industry environment

    RANCANG BANGUN SISTEM INFORMASI PENJUALAN TEMBAKAU BERBASIS WEBSITE PADA METRIC TOBACO

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    Penelitian ini bertujuan untuk merancang serta mengembangkan sebuah sistem informasi berbasis web yang mendukung proses penjualan tembakau di Metric Tobacco Pekanbaru.. Sistem ini dirancang untuk mempermudah proses penjualan, pengelolaan data stok barang, serta pembuatan laporan secara efektif dan efisienPenelitian ini menerapkan metode waterfall, yang terdiri dari beberapa tahap, yaitu analisis kebutuhan, perancangan, implementasi, pengujian, serta pemeliharaan. Dalam perancangan sistem, digunakan alat bantu seperti Data Flow Diagram (DFD) untuk menggambarkan aliran data dan Entity Relationship Diagram (ERD) untuk merancang basis data. Penelitian ini menghasilkan sebuah sistem informasi berbasis web yang dirancang untuk mengelola transaksi penjualan, mengatur stok barang, serta menyusun laporan secara sistematis. Sistem ini dikembangkan menggunakan bahasa pemrograman PHP, HTML, CSS, dan JavaScript

    Pengaruh Gaya Kepemimpinan Dan Budaya Organisasi Terhadap Kinerja Karyawan Pada PT. Sustraco Adikreasi

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    Penelitian ini bertujuan untuk menguji dan menganalisis pengaruh Gaya Kepemimpinana dan Budaya Organisasi terhadap Kinerja Karyawan pada PT Sustraco Adikreasi. Variabel independen yang dipergunakan merupakan Gaya Kepemimpinan dan Budaya Organisasi, sementara itu yang menjadi variabel dependen yaitu Kinerja. Metode pengumpulan data dalam penelitian ini dilakukan dengan cara menyebarkan kuesioner kepada 40 responden karyawan pada PT Sustraco Adikreasi. Metode penelitian yang digunakan adalah metode kuantitatif yang bersifat asosiatif dengan menggunakan data primer. Hasil ini menunjukan bahwa Gaya Kepemimpnan berpengeruh positif dan signifikan terhadap kinerja Karyawan dengan nilai t hitung lebih besar dari t tabel 3.420 > 1,68 dan nilai signifikan 0,02 < 0,05, Budaya Organisasi berpengaruh positif dan signifikan terhadap kinerja pegawai dengan nilai t hitung lebih besar dari t tabel 3.541> 2,03 dan nilai  signifikan 0,01 < 0,05. Secara bersama-sama Gaya Kepemimpinan dan Budaya Organisasi signifikan terhadap kinerja Karyawan dengan nilai F hitung lebih besar dari F tabel 91.618 > 3,25 dan nilai  signifikan 000 < 0,0

    Analisis Kinerja Keuangan Berdasarkan Rasio Pada Sub Sektor Pakan Ternak Yang Terdaftar Di Bursa Efek Indonesia Periode 2019 – 2023

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    The Covid-19 pandemic spread after the first case was found in Indonesia in March 2020 and was followed by a policy of controlling the spread through social restrictions. This has a broad impact on services not only on health services but also on social and economic conditions, including livestock in Indonesia. This study aims to analyze financial performance based on current ratio, quick ratio, debt to asset ratio, debt to equity ratio, return on assets and return on equity in animal feed companies listed on the IDX in 2019-2023. The method used in this study uses a quantitative method with secondary data and the determination of the sample in this study is purposive sampling with certain criteria, so the number of samples obtained is 9 companies. The conclusion drawn from the results of this study is that the average indicators of current ratio, quick ratio, debt to equity ratio, return on assets and return on equity are still far below industry standards, only the debt to asset ratio meets industry standards. Keywords: Current Ratio, Quick Ratio, Debt To Asset Ratio, Debt To Equity Ratio, Return On Asset dan Return On Equity

    Implementasi Metode Single Moving Average dalam Sistem Penjualan Parfum Berbasis Web

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    Peramalan atau forecasting adalah sebuah instrumen yang vital dalam perencanaan yang efektif dan efisien. Ini merujuk pada proses prediksi, proyeksi, atau estimasi tingkat kejadian yang bersifat tidak pasti di masa mendatang. Tantangan yang dihadapi oleh Lab Art Aromatique adalah kesulitan dalam menentukan penjualan pada periode selanjutnya, mengingat belum ada prediksi yang menggunakan metode Single Moving Average (SMA). Berdasarkan penelitian yang dilakukan di Lab Art Aromatique dengan menerapkan sistem peramalan menggunakan metode Single Moving Average, hal ini dapat membantu toko tersebut untuk merekam data penjualan setiap bulannya yang kemudian disimpan dalam database. Metode pengumpulan data dalam penelitian ini melibatkan observasi langsung, wawancara dengan sumber yang relevan, dan dokumentasi melalui kajian literatur yang ada. Hasil dari penelitian ini mencakup estimasi nilai untuk periode selanjutnya menggunakan metode Single Moving Average (SMA), dengan nilai error MSE (Mean Square Error) sebesar 14.811,7667, menunjukkan tingkat akurasi yang baik dalam memprediksi penjualan parfum

    Optimizing Workforce Scheduling Using Ant Colony Optimization Algorithm: Case Study PT. Cloud Hosting Indonesia: Optimalisasi Penjadwalan Tenaga Kerja Menggunakan Algoritma Ant Colony Optimization: Studi Kasus PT. Cloud Hosting Indonesia

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    Effective workforce scheduling is crucial for enhancing productivity and maintaining service quality at PT. Cloud Hosting Indonesia. Workforce scheduling is the process of organizing and allocating labor to various tasks and responsibilities within an organization. Ant Colony Optimization (ACO) is a probabilistic technique used to solve computation problems by finding the best path through a graph. Inspired by the behavior of ants, particularly how they find food, Ant Colony Optimization can optimize shift schedules, reduce conflicts, and improve employee performance. However, there are current irregularities, insufficient rest periods, and unpredictable holidays. Ant colony optimization is applied to address these problems. The result of this shows that the Ant Colony Optimization algorithm is capable of producing more optimal schedules with high efficiency, achieving a Best Cost of 100 in 1 minute and 6 seconds. This is better compared to other methods such as Particle Swarm Optimization (PSO), which achieved a Best Cost of 7600 in 4 seconds, and Genetic Algorithm (GA), which achieved a Best Fitness of 8500 in 5  seconds

    Klasifikasi Citra Pada Wayang Kulit Menggunakan Convolutional Neural Network

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    This research aims to develop a Convolutional Neural Network (CNN)-based shadow puppet image classification system by utilizing the ResNet-18 architecture, which is known to be efficient in handling image data and has a high level of accuracy. The system is designed to classify the Punakawan characters in shadow puppets, namely Bagong, Gareng, Petruk, and Semar, which are part of Indonesia's cultural heritage. In addition, this study also compares the performance of ResNet-18 with two other architectures, namely MobileNetV2 and DenseNet121. The dataset used consists of 2,148 images, which were obtained through live shooting and online searches. The images were processed using augmentation techniques and divided in a ratio of 70:15:15 for training, validation, and testing. The model was trained using optimal hyperparameters, such as learning rate 0.001 and batch size 32, to evaluate the performance of the three architectures. The evaluation results showed that the ResNet-18 architecture, as the main focus of the research, achieved an overall accuracy of 93.90%, with precision, recall, and F1-score of 94% each. In comparison, MobileNetV2 produced the highest validation accuracy of 96%, with better performance in generalization, while DenseNet121 produced a validation accuracy of 95%. This result confirms that although MobileNetV2 has the best performance in shadow puppet image classification, ResNet-18 still shows excellent results with simpler complexity, so it can be an efficient solution for the implementation of Punakawan shadow puppet classification system

    Pengaruh Manajemen Piutang Terhadap Profitabilitas Studi Industri Di Tangerang

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    Working capital in management is very important for the survival of an organization. It is also important for the growth of an organization. Management of receivables is an important component of working capital management carried out in a company. The current study empirically tests the effect of the efficiency of receivables management as measured by the debtor turnover ratio in the commercial industry in Indonesia on the profitability of the company. Profitability is measured using the returned capital. The study was conducted in the period 2019 to 2021. The findings show a significant positive relationship between the debtor turnover ratio and the company's profitability. This indicates that receivables management must be the main focus in increasing the profitability of industrial companies

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