7 research outputs found

    PENGELOLAAN KAS YANG TEPAT SANGAT PENTING GUNA MENINGKATKAN RENTABILITAS PADA KPRI

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    1.Latar belakangrnSejak pembangunan lima tahun dilaksanakan, kegiatan-kegiatan pembangunan dan kegiatan ekonomi semakin meningkat. Hal ini membutuhkan suatu wadah atau sarana yang tepat untuk pertumbuhan ekonomi tersebut. Dan wadah yang paling tepat adalah koperasi, karena dengan koperasi diharapkan persoalan-persoalan yang ada dalam masyarakat golongan ekonomi lemah dapat teratasi.rnFungsi koperasi sebagai alat perjuangan ekonomi untuk mempertinggi kesejahteraan anggota khususnya dan masyarakat pada umumnya adalah sesuai dengan asas dan sendi-sendi dasar koperasi Indonesia. Adapun asasnya adalah kekeluargaan dan gotong royong.rnKoperasi yang berdasarkan kekeluargaan dan kegotong royongan harus dapat mempertinggi taraf hidup anggota pada khususnya dan masyarakat pada umumnya. Untuk mencapai tujuan tersebut kesadaran dan partisipasi masyarakat perlu ditingkatkan.rnDari peranan koperasi tersebut di atas jika kita kaitkan dengan keberadaan sosial ekonomi para Pegawai Negeri, sangat dirasakan manfaatnya. Karena dalam pembentukan Koperasi Pegawai Negeri, juga mempunyai maksud dan tujuan untuk meningkatkan kesejahteraan para Pegaw'ai Negeri beserta Keluarganya.rnBerdasarkan pada tulisan tersebut di atas dan hubungan yang terjadi maka dalam penyusunan skripsi ini penulis mengambil judul : PENGELOLAAN KAS YANG TEPAT SANGAT PENTING GUNA MENINGKATKAN RENTABILITAS PADA KPRI58 hl

    Application of Radio Frequency Identification as a Motorcycle Quality Check Card

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    Radio Frequency Identification (RFID) is a wireless communication consisting of 2 (two) tag components and a reader or reader to uniquely identify an object. A reader or reader is a device that has one or more antennas that transmit radio waves and receive signals back from the tag. RFID. In the application of RFID, most use a serial number to store an object’s identity on a microchip and are usually equipped with an antenna, where the antenna and chip are RFID tags. The antenna used and the chip communicate information for identification to the reader or what is known as the reader, then the reader or reader converts the reflected radio waves of the RFID tag into digital information. The application of Radio Frequency Identification (RFID) is intended to assist the process of testing the quality of Honda motorbikes or PDI (pre-delivery inspection) where this is part of the SOP (standard operating procedure) before the motorbike is distributed to consumers to ensure the quality of the motorbike is maintained. The inspections carried out include the outside of the motor and then the inside, below, then testing when the motor is running, the availability of equipment or tools, and equipment documents such as service books and maintenance instructions. Whereas the previous process still uses paper cards which will be discarded when a consumer receives the motor. Applications made using the application of Radio Frequency Identification (RFID) in the form of a card will replace the use of paper when conducting a motor quality inspection

    PREDIKSI HASIL PERTANDINGAN LIGA SERIE A MENGGUNAKAN METODE NAÏVE BAYES

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    Sepak bola adalah olahraga yang sangat populer di seluruh dunia, dengan banyak penggemar yang melakukan prediksi hasil pertandingan. Metode yang digunakan untuk memprediksi hasil pertandingan dapat mempengaruhi akurasi prediksi tersebut. Dalam penelitian ini, dilakukan prediksi hasil pertandingan Liga Serie A menggunakan metode algoritma Naïve Bayes.Penelitian ini terdiri dari beberapa tahap, di antaranya adalah Data Selection, Preprocessing Dataset, Transformation Dataset, Klasifikasi Naïve Bayes, Pengujian dan Evaluasi Model. Data yang digunakan dalam penelitian ini diperoleh melalui web scraping dari situs www.football-data.uk, dan terdiri dari data Liga Serie A dari tahun 2017 hingga 2022. Setelah melalui tahap preprocessing, dataset diubah menjadi bentuk angka menggunakan metode transformation dataset agar dapat digunakan dalam algoritma Naïve Bayes. Kemudian dilakukan klasifikasi menggunakan metode Naïve Bayes untuk memprediksi hasil pertandingan. Hasil pengujian menunjukkan bahwa metode Naïve Bayes berhasil mencapai tingkat akurasi sebesar 75,79% dengan menggunakan data 1900 pertandingan. Empat teratas yaitu Juventus, Inter, Milan dan Napoli diprediksi akan lolos ke Liga Champions. Selanjutnya, model prediksi yang telah dibuat diimplementasikan dalam bentuk aplikasi. Aplikasi ini memungkinkan pengguna untuk melihat prediksi hasil pertandingan Liga Serie A dan menampilkan tampilan visual yang informatif. Dalam kesimpulan, penelitian ini berhasil melakukan prediksi hasil pertandingan Liga Serie A dengan menggunakan metode Naïve Bayes. Hasil pengujian menunjukkan tingkat akurasi yang baik. Penelitian ini memberikan kontribusi dalam pengembangan metode prediksi hasil pertandingan sepak bola dengan menggunakan algoritma Naïve Bayes

    SISTEM PREDIKSI PENJUALAN DI TOKO DASNI MENGGUNAKAN METODE DOUBLE EXPONENTIAL SMOOTHING

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    In developing a business or sale is to follow technological developments including the use of systems for buying and selling interactions. There are already many sellers who make buying and selling interactions online. In addition, to develop a business, it is also necessary to predict future sales so that the seller knows and prepares the number of goods to be sold to avoid shortages or excess quantities of goods. To find sales predictions, various methods can be used, one of which is Double Exponential Smoothing method. Double Exponential Smoothing method is the time series method that uses data from the past to predict the next period. The data processed is sales data at Dasni clothing stores for one year. The results obtained are in the form of a sales prediction system for the next 3 months period which calculates the level of prediction accuracy using MAPE (Mean Absolute Percentage Error) with the smallest error sought because the smaller the error, the more accurate it is to predict the number of sales in the next period. This prediction system is also designed using the PHP programming language

    MODEL APLIKASI PENENTUAN SPESIFIKASI DAN NILAI PRODUKSI EVENT MENGGUNAKAN METODE ANALYTHICAL HIERARCHY PROCESS

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    Inaccuracy in determining the category of event (activity) causes a mistake in planning the number of participants who will attend and which suppliers will be used when providing event organizer services. This paper aims to develop a decision support application model based on the analytic hierarchy process to determine the specifications and production value of an event. The mechanism for determining alternative events (small, medium, and bigbang) is carried out by calculating the weights of the four criteria used (number of participants, venue, invited guests, and performers), using the calculation of the pairwise comparison matrix, the sum matrix, the consistency ratio of the weights. criteria and alternatives, and the final result by adding up the overall priority values for the elements used. The results show that the application model developed can determine the most likely alternatives to be used as a reference in determining specifications and production values in planning an event. Keywords: Decision Support System Application, Determination of Specifications, Event Production Value, Analythical Hierarchy Process

    IMPLEMENTATION OF APRIORI ALGORITHM IN RAMEIKI MART PRODUCT RECOMMENDATION SYSTEM

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    The rapid development of technology has a very large effect in various fields. One of them is in the field of buying and selling business, which is getting higher and higher competition between business actors. One of the strategies to increase sales is to implement a recommendation for goods, but from the various categories of goods in the store, there are products that are not in demand by customers, so that if left alone, the products that are not in demand will not sell well and will make the accumulation of goods in the store, in addition to that with the many categories, it makes some customers confused to choose products that suit their wishes buyer. Therefore, the author conducts an assessment first by conducting a literature study, which finally the purpose of this study is to make it easier for users and business owners to recommend goods in the store and determine the desired product by implementing a recommendation system on the Rameiki Mart Store website which is taken from the amount of data, this is also beneficial for store owners because the existence of this recommendation system can help as a means of product promotion , as well as in recommendations for the purchase of goods. In this study, the researcher created a recommendation system using the a priori algorithm method
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