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Unisda Journal of Mathematics and Computer Science (UJMC)
Published by Universitas Islam Darul Ulum
ISSN : 24603333     EISSN : 2579907X     DOI : -
Core Subject : Science, Education,
Computer Science & IT Education Mathematics
Unisda Journal of Mathematics and Computational Science (UJMC) is a research journal published by Mathematics Department of Mathematics and Natural Sciences Unisda Lamongan with the scope of pure mathematics, applied science, education, statistics
Arjuna Subject : -
Articles 129 Documents
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Perencanaan dan Pengendalian Persediaan Obat Terlaris Pada Apotek Zakky Minhatin Nisaatus Sholikhah; Yusnia Megasari; Mohammad Syaiful Pradana
UJMC (Unisda Journal of Mathematics and Computer Science) Vol 8 No 2 (2022): Unisda Journal of Mathematics and Computer science
Publisher : Mathematics Department, Faculty of Mathematics and Sciences Unisda Lamongan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52166/ujmc.v8i2.4020

Abstract

This study aims to analyze the control of drug supplies at Zakky 3 pharmacies from December 2020 to January 2021. The data used are primary data and secondary data. Data collection methods used in this study are observation, interviews, and documentation. For drug procurement planning, in this study an analysis of the investment value was conducted to determine which drugs were included in groups A, B, and C. Furthermore, the Economic Order Quantity (EOQ) calculation was carried out to determine the number of economic orders, as well as the calculation of Reorder Point (ROP) for know the point of reordering drugs for the period of 2021. The results of the analysis show that in the ABC analysis of investments, 500 types of drugs are included in group A or 31% of all drugs, absorbing 78% of investment, group B with 496 types of drugs or 31% % of all drugs, absorbing 16 %% of investment. Meanwhile, group C with 612 types of drugs or 38%% of all drug item drugs only absorbed 6% of the investment. Also obtained are the results of EOQ and ROP calculations for the period of 2021. This calculation is useful for helping pharmacies in drug procurement so that there is a balance between service levels and costs.
Analisis Hubungan Antara Pemakaian Obat Rata-Rata dengan Beberapa Variabel Ketersediaan Obat Menggunakan Pendekatan Korelasi Pearson Di Puskesmas Dian Mustofani
UJMC (Unisda Journal of Mathematics and Computer Science) Vol 9 No 1 (2023): Unisda Journal of Mathematics and Computer science
Publisher : Mathematics Department, Faculty of Mathematics and Sciences Unisda Lamongan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52166/ujmc.v9i1.4166

Abstract

Pharmacy installations at puskesmas have an important role, especially in aspects of drug management or management as well as in pharmaceutical services, this is also stated in the Ministry of Health Regulation No. 72 of 2016. Therefore accuracy in drug planning is an important matter because it will affect the application of controls. drug orders and will also affect pharmaceutical services. The number of drugs available in the pharmacy installation at the health center must be planned as well as possible. This research discusses the analysis of the relationship between drug use and several variables of drug availability at the puskesmas using the Pearson correlation approach, with the aim that drug procurement at the puskesmas can be carried out correctly, so that drug orders and pharmacy services can be well controlled. Keywords: statistical analysis, correlation analysis, procurement of drugs at the puskesmas. Abstrak. Instalasi farmasi di puskesmas memiliki peran penting terutama dalam aspek manajemen atau pengelolaan obat demikian pula dalam pelayanan kefarmasian, hal ini juga tertuang dalam peraturan kementrian kesehatan no 72 tahun 2016. Oleh karenanya ketepatan dalam perencanaan obat merupakan suatu hal yang penting karena akan berpengaruh dalam penerapan pengendalian pemesanan obat dan juga akan berpengaruh dalam pelayanan kefarmasian. Jumlah obat yang tersedia dalam instalasi farmasi di puskesmas harus direncanakan sebaik-baiknya. Dalam penelitian ini dibahas mengenai analisis hubungan antara pemakaian obat dengan beberapa variabel ketersediaan obat di puskesmas dengan menggunakan pendekatan korelasi Pearson, dengan tujuan agar pengadaan obat di puskesmas dapat dilakukan dengan tepat, sehingga pemesanan obat dan pelayanan kefarmasian dapat terkendali dengan baik. Kata Kunci: analisis statistik, analisis korelasi, pengadaan obat di puskesmas.
Penerapan Regresi Data Panel pada Permasalahan Tingkat Pengangguran Terbuka Di Jawa Barat Siti Fatonah; Fenny Fitriani; Artanti Indrasetianingsih
UJMC (Unisda Journal of Mathematics and Computer Science) Vol 9 No 1 (2023): Unisda Journal of Mathematics and Computer science
Publisher : Mathematics Department, Faculty of Mathematics and Sciences Unisda Lamongan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52166/ujmc.v9i1.4232

Abstract

The indicator used to measure unemployment is the Open Unemployment Rate (TPT). West Java Province is a high-ranking TPT contributor province and during 2018-2021 is always in the top three compared to other provinces in Indonesia. West Java has a different unemployment rate every year and between districts / cities. Panel data regression is a regression technique that combines time series data and corss section. In estimating panel data regression models, there are three approaches, namely the Commond Effect Model (CEM), Fixed Effect Model (CEM) and Random Effect Model (REM). To choose the best model, it uses three tests, namely the Chow test, the Hausman test and the Lagrange Multiplier test. In this study, regression analysis of panel data was carried out to determine the factors that influence the open unemployment rate in West Java province. The results of the analysis obtained the best model of FEM between individuals and time with an R2 value of 0.9410 or 94.10%. Factors that have a significant effect on the open unemployment rate are the district/city minimum wage, education index and percentage of poor people
Penerapan Uji Korelasi Rank Spearman Untuk Mengetahui Hubungan Tingkat Pengetahuan Ibu Terhadap Tindakan Swamedikasi Dalam Penanganan Demam Pada Anak Dian Mustofani; Hariyani Hariyani
UJMC (Unisda Journal of Mathematics and Computer Science) Vol 9 No 1 (2023): Unisda Journal of Mathematics and Computer science
Publisher : Mathematics Department, Faculty of Mathematics and Sciences Unisda Lamongan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52166/ujmc.v9i1.4272

Abstract

Fever in children is not a disease, but a symptom. To deal with fever in children, appropriate self-medication measures are needed by the mother. Self-medication is an activity of self-medication starting from the selection and use of drugs, both modern, herbal and traditional medicines by an individual to treat a disease or symptoms of a disease. This study will discuss the application of the Spearman Rank correlation test to find out several factors that affect the level of mother's knowledge of self-medication in treating fever in children.
Vehicle Routing Problem by Combining Nearest Neighbour and Local Search Kurnia Iswardani; Ira Aprilia; Dwi Putri K
UJMC (Unisda Journal of Mathematics and Computer Science) Vol 9 No 1 (2023): Unisda Journal of Mathematics and Computer science
Publisher : Mathematics Department, Faculty of Mathematics and Sciences Unisda Lamongan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52166/ujmc.v9i1.4763

Abstract

PT. X is a company tasked with distributing Elpiji Gas to major agents. The problem under study is to find a more optimal distribution route so it can maximize the use of other resources, for example the number of trucks used. This distribution problem will be solved by a combination two methods, Nearest Neighbor and Local Search with the hope of getting the shortest route. The way the Nearest Neighbor method works is selecting the Agent's location based on the shortest distance from the last location and improving the solution using Local Search (intra-route insertion (1-0)) by moving one customer's position in one route so that a good distribution route is produced
Analisis Manajemen Ruas Di Simpang Empat Pasar Sidoharjo Lamongan Menggunakan Algoritma Genetika Yusnia Megasari; Mohammad Syaiful Pradana
UJMC (Unisda Journal of Mathematics and Computer Science) Vol 9 No 1 (2023): Unisda Journal of Mathematics and Computer science
Publisher : Mathematics Department, Faculty of Mathematics and Sciences Unisda Lamongan

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

A common problem in the traffic system is the inaccuracy of traffic lights on road conditions, often problems with these traffic lights cause traffic jams on roads, specifically at the intersection of four in Sidoharjomarkets, Lamongan district. In the section at the intersection of four Sidoharjo markets, the green light flashes in 3 phases, there are north, south, and east – westwhich are together, meaning that there are incompatible currents, namely two or more currents that are allowed to run together, potentially resulting in crowds. especially busy hours at the Sidoharjo market. Therefore, it takes traffic management to manage these problems. The use of Genetic Algorithm is used in this problem to find predictions for optimizing the cycle time phase of traffic lights. The results obtained are optimal for vehicle density of 30SSM/minute and red light delay time of 0.82 minutes
Peramalan Harga Minyak Goreng Pada Masa Pemulihan Pandemi Covid-19 Di Pasar Kabupaten Blitar Swastika, Galuh Tyasing; Nada, Luthfi Qathrun; Sanwidi, Ardhi
UJMC (Unisda Journal of Mathematics and Computer Science) Vol 10 No 1 (2024): Unisda Journal of Mathematics and Computer Science
Publisher : Mathematics Department, Faculty of Mathematics and Sciences Unisda Lamongan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52166/ujmc.v10i1.4121

Abstract

The impact of Covid-19 is still felt on the unstable economic sector in Indonesia, one of which is cooking oil where the price has soared. DISPERINDAG as a service that has duties, one of which is in monitoring and supervising the price of basic necessities, so knowing the prediction of the price of goods can make it easier for DISPERINDAG to carry out its duties in maintaining the stability of the price of basic necessities, especially those in the market. So the author is interested in researching the forecasting of cooking oil prices during this transition period with the single exponential smoothing method. The data used for the study is daily data on the price of cooking oil without brand in the Blitar Regency market for 426 days from August 1, 2021 - September 30, 2022 then the data can to predict the price of cooking oil in October 2022. The results of the study obtained an alpha value of 0.9 to be the smallest error value with an average MAPE of 7.41% and the predicted results of bulk cooking oil prices in the Blitar Regency market in October 2022 of Rp 12929.97/liter.
Peramalan Harga Emas Antam Menggunakan Metode Generalized Autoregressive Conditional Heterokedasticity (GARCH) Amri, Ihsan Fathoni; Astuti, Sofi Anggi; Sulistiya, Indah; Suherdi, Andri; Haris, M.Al
UJMC (Unisda Journal of Mathematics and Computer Science) Vol 10 No 1 (2024): Unisda Journal of Mathematics and Computer Science
Publisher : Mathematics Department, Faculty of Mathematics and Sciences Unisda Lamongan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52166/ujmc.v10i1.4679

Abstract

ANTAM gold is a long-term inflation-resistant investment instrument with a low-risk profile. Socio-economic conditions greatly influence gold price fluctuations, so gold price forecasting is very important for investors to understand the dynamic of changes in gold price. This study proposes the Generalized Autoregressive Conditional Heteroscedasticity (GARCH) methods to model the forecasting of gold price fluctuations. The data used is ANTAM’s daily gold price data for the period June 2018 – June 2023. The results show that by using the best ARIMA (0,1,1) GARCH (2,1) model, the gold price forecasting results are in the price range of Rp 947.100.
Clustering Daerah Bencana Alam di Indonesia Menggunakan Metode Fuzzy C-Means Yulianto, Tony; Rahmah, Alfiana Faizzatur; Faisol, Faisol; Amalia, Rica
UJMC (Unisda Journal of Mathematics and Computer Science) Vol 9 No 2 (2023): Unisda Journal of Mathematics and Computer science
Publisher : Mathematics Department, Faculty of Mathematics and Sciences Unisda Lamongan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52166/ujmc.v9i2.4776

Abstract

Bencana alam merupakan kejadian luar biasa yang disebabkan oleh faktor alam ataupun faktor dari ulah manusia yang berdampak pada lingkungan dan manusia itu sendiri. Indonesia menjadi salah satu negara yang menjadi rawan bencana alam seperti tanah longsor, banjir, banjir bandang, gempa bumi, tsunami, kekeringan, kebakaran, gunung meletus, puting beliung dan gelombang pasang laut, Sehingga menimbulkan kerusakan lingkungan, kerugian harta benda, dampak psikologis, dan bahkan menimbulkan korban jiwa. Dalam penelitian ini dapat mengcluster bencana alam antara aman, cukup aman, rawan dan sangat rawan, sehingga dalam penyaluran bantuan bisa tepat sasaran. Dalam melakukan pengelompokan disini banyak metode yang bisa digunakan, namun dalam penelitian ini peneliti menggunakan metode Fuzzy C-Means. Dari hasil penelitian tersebut ada 11 provinsi yang masuk pada cluster 1, 4 provinsi yang masuk pada cluster 2, 13 provinsi yang masuk pada cluster 3 dan 6 provinsi yang masuk pada cluster 4. Berdasarkan hasil clustering terdapat beberapa provinsi yang paling rawan bencana adalah provinsi Aceh, Sumatera Utara, Riau, Sumatera Selatan, Lampung, Jawa Barat, Jawa Tengah, Jawa Timur, Nusa Tenggara Timur, Sulawesi Tenggara, Sulawesi Selatan, Papua, dan Papua Barat.
Penentuan Premi Tahunan Dan Cadangan Premi Dengan Metode New Jersey Asuransi Endowment Status Joint Life Menggunakan Suku Bunga Stokastik Miasary, Seftina Diyah; Umami, Riza Lathifatul; Siswanah, Emy
UJMC (Unisda Journal of Mathematics and Computer Science) Vol 9 No 2 (2023): Unisda Journal of Mathematics and Computer science
Publisher : Mathematics Department, Faculty of Mathematics and Sciences Unisda Lamongan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52166/ujmc.v9i2.5953

Abstract

Joint life endowment status insurance is insurance that pays out if the participant dies during the policy participant's first death or survives until the conclusion of the insurance period. The purpose of this study is to calculate the amount of joint life endowment status life insurance premium reserves using the New Jersey technique in the CIR model with stochastic interest rates. The CIR model's stochastic interest rate value based on Bank Indonesia interest rates from 2018 to 2022 is 0,075. According to the calculations, the resulting annual premium is lower since the number of individuals who survive is greater than the number of persons who die over the insurance period. Furthermore, the size of the New Jersey premium reserve is zero in the first year and becomes closer to the compensation value as the insurance period proceeds.

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