Bandung Conference Series: Mathematics最新文献

{"title":"Menentukan Persediaan Bahan Baku Kue Menggunakan Metode EOQ dengan Peramalan Double Exponential Smoothing","authors":"B. Febrianti, Eti Kurniati, F. Badruzzaman","doi":"10.29313/.V0I0.30869","DOIUrl":"https://doi.org/10.29313/.V0I0.30869","url":null,"abstract":"Abstract. Raw material inventory control is a series of control policies to determine the level of raw material inventory and ensure the fulfillment of demand for goods. If the supply of raw materials experiences a shortage of inventory, it can result in disruption of the production process, while excess inventory can result in waste because the company needs to spend more capital for inventory costs. This study aims to determine the total cost of the most effective minimum inventory of cake shop x Bandung, by applying the EOQ model to determine the amount of inventory and the frequency of orders. The results of this study are to get the safety stock value, minimum inventory value, maximum inventory and reorder rate. The application of the EOQ method is expected to avoid excess inventory which results in waste and too small raw material inventory can hamper the production process. In carrying out the inventory of raw materials for cake shop x Bandung, the results were 24.2697 kg on safety stock, 25,89577 kg on minimum stock, 27.52184 kg on maximum stock, 1.62607 kg on reorder. The minimum total inventory cost is Rp. 1,907,997,956 with an order frequency of 12 times. \u0000Abstrak. Pengendalian persediaan bahan baku merupakan serangkaian kebijakan pengendalian untuk menentukan tingkat persediaan bahan baku serta menjamin terpenuhinya permintaan terhadap barang. Jika persediaan bahan baku mengalami kekurangan persediaan dapat mengakibatkan terganggunya proses produksi, sedangkan kelebihan persediaan dapat mengakibatkan pemborosan karena perusahaan perlu mengeluarkan modal lebih besar untuk biaya persediaan. Penelitian ini bertujuan untuk mengetahui total biaya persediaan minimum toko kue x Bandung yang paling efektif, dengan mengaplikasikan model EOQ untuk mengetahui jumlah persediaan dan frekuensi pemesanan. Hasil dari penelitian ini yaitu mendapatkan nilai safety stock, nilai persediaan minimum, persediaan maksimum dan tingkat pemesanan kembali. Pengaplikasiaan metode EOQ diharapkan terhindar dari berlebihnya persediaan yang mengakibatkan pemborosan dan persediaan bahan baku yang terlalu kecil dapat menghambat proses produksi. Dalam melakukan persediaan bahan baku toko kue x Bandung memiliki hasil 24,2697kg pada safety stock, 25,89577 kg pada minimal stok, 27,52184 kg pada maksimal stok, 1,62607 kg pada pemesanan kembali. Total biaya persediaan minimum sebesar Rp 1.907.997,956 dengan frekuensi pemesanan 12 kali.","PeriodicalId":243556,"journal":{"name":"Bandung Conference Series: Mathematics","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130055958","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Optimasi Return Saham Perusahaan Makanan dan Minuman pada Saat Pandemi Covid-19 dengan Menggunakan Pendekatan Multiobjektif","authors":"Alfi Fadilla Hanum, Onoy Rohaeni, R. Respitawulan","doi":"10.29313/.V7I1.26482","DOIUrl":"https://doi.org/10.29313/.V7I1.26482","url":null,"abstract":"Abstract. The Covid-19 virus outbreak as an epidemy had caused a strong market reaction to the shares listed on the Indonesia Stock Exchange, as the concerns of shareholders over the government policies. Therefore, to buid a portfolio, it is necessary to calculate optimal the proportion of shares. In this study, a multi-objective optimization will be carried out on six food and beverage companies shares listed on the Indonesia Stock Exchange during March-July 2020. The multi-objective approach on the portfolio solves two optimization problems at once: maximizing expected return and minimizing risk based on investor preferences. Mathematically, the multi-objective approach is multivariable function with equality constraints, which can be solved using the Lagrange multiplier method. The study shows that different risk coefficient will generate different optimum stock proportion. Optimum portfolio with the highest risk (risk coefficient k = 0.01) generate the highest expected return, while optimum portfolio with the lowest risk (risk coefficient k = 1000) generate smallest expected return. \u0000Abstrak. Wabah virus Covid-19 sebagai epidemi turut mempengaruhi respon pasar terhadap saham berbagai perusahaan terdaftar di Bursa Efek Indonesia seiring kekhawatiran para pemegang saham atas kebijakan yang akan dikeluarkan pemerintah. Karenanya, dalam penyusunan portfolio, perlu adanya perhitungan proporsi saham yang memberikan return optimal. Pada penelitian ini, dilakukan optimalisasi pada enam saham perusahaan makanan dan minuman yang terdaftar di Bursa Efek Indonesia pada bulan Maret-Juli 2020. Pendekatan multiobjektif pada portofolio menyelesaikan dua masalah optimasi sekaligus: memaksimumkan expected return dan meminimumkan  risiko sesuai preferensi investor. Secara matematis, pendekatan multiobjektif adalah masalah pencarian nilai ektrem fungsi peubah terkendala yang dapat diselesaikan dengan metode pengali Lagrange. Hasil penelitian menunjukkan proporsi saham optimal dengan tingkat risiko terbesar (k = 0.01) menghasilkan expected return portofolio terbesar, tingkat risiko terkecil (k = 1000) menghasilkan expected return terkecil.","PeriodicalId":243556,"journal":{"name":"Bandung Conference Series: Mathematics","volume":"87 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-01-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126304839","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Penggunaan Topsis untuk Menentukan Exposure Terbaik pada Kamera yang Memiliki Sensor M4/3","authors":"Anggie Irfhan Refhiansyah, Didi Suhaedi, Yurika Permanasari","doi":"10.29313/.V7I1.26208","DOIUrl":"https://doi.org/10.29313/.V7I1.26208","url":null,"abstract":"Abstract. Cameras that have small sensors such as Micro Four Thirds (M4/3) are experiencing increasing interest in the market today, this is due to the small and compact size of the camera. However, the weakness of cameras with small sensors is that the quality is not as good as those of cameras with larger sensors, especially in lowlight situations because the electronic noise (noise) increases at high ISOs, making it quite difficult to determine the best exposure in these situations. The Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) method is used to select the best exposure conditions with the aim of ranking each alternative to be compared, with criteria including shutter speed, aperture and ISO. The result of this research is the total preference value of all criteria. The highest value states that these conditions are ideal for taking pictures in lowlight conditions. Validation is done by looking at the results of the histogram of the image, which shows the quality of the image is good or not. \u0000Abstrak. Kamera yang memiliki sensor kecil seperti Micro Four Thirds (M4/3) mengalami peningkatan peminat di pasaran saat ini, hal tersebut di karenakan ukuran kameranya yang kecil dan kompak. Tetapi, kelemahan kamera dengan sensor yang kecil adalah kualitasnya yang tidak sebaik kamera dengan sensor yang lebih besar, terutama pada situasi lowlight karena gangguan elektroniknya (noise) meningkat pada ISO yang tinggi sehingga cukup sulit untuk menentukan exposure terbaik pada situasi tersebut. Metode Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) digunakan untuk memilih kondisi exposure terbaik dengan tujuan melakukan perankingan dari setiap alternatif yang akan dibandingkan, dengan kriterianya antara lain shutter speed, aperture dan ISO. Hasil dari penelitian ini berupa nilai preferensi total dari semua kriteria. Nilai tertinggi menyatakan bahwa kondisi tersebut ideal dalam mengambil gambar pada kondisi lowlight. Validasi dilakukan dengan melihat hasil histogram citra, yang menunjukkan kualitas dari citra tersebut baik atau tidak.","PeriodicalId":243556,"journal":{"name":"Bandung Conference Series: Mathematics","volume":"18 26","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-01-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132747533","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}