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All Journal VALENSI Matematika: Jurnal Teori dan Terapan IJEBD (International Journal Of Entrepreneurship And Business Development) International Journal of Supply Chain Management International Journal of Research in Community Services International Journal of Global Operations Research International Journal of Quantitative Research and Modeling Jurnal Matematika Integratif In Search (Informatic, Science, Entrepreneur, Applied Art, Research, Humanism)

Julita Nahar

Program Studi Matematika, Fakultas Matematika Dan Pengetahuan Alam, Universitas Padjadjaran

Author-ID : 2614774

Arts Chemistry Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Industrial & Manufacturing Engineering Mathematics Mechanical Engineering Physics Social Sciences Transportation Other

Published : 31 Documents Claim Missing Document

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Molecular Docking on Kokosanolide A and C for Anticancer Activity Against Human Breast Cancer Cell MCF-7 Sri Purwani; Julita Nahar; Zulfikar Zulfikar; Nurlelasari Nurlelasari; Tri Mayanti
Jurnal Kimia Valensi Jurnal Kimia VALENSI Volume 7, No. 1, May 2021
Publisher : Syarif Hidayatullah State Islamic University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15408/jkv.v7i1.20534

Kokosanolide A (1), from the seeds of Lansium domesticum Corr. cv Kokossan, has been shown strong cytotoxic activities (IC50 = 8.62 μg/mL) against MCF-7 breast cancer cells. The aim of this work was to study the molecular interactions of kokosanolide A and kokosanolide C with the Estrogen Receptor α (ERα) using computer-aided drug design approaches. Molecular docking using Autodock Vina (open-source software PyRx 0.8) was employed to explore the modes of binding of kokosanolide A (1) and kokosanolide C (2) with ERα. Compounds 1 and 2 showed strong bond-free energy (-8.8 kcal/mol and -8.7 kcal/mol) to ERα. These two compounds have a molecular mechanism to inhibit ERα in breast cancer cells.

Analisis Turunan dan Integral Fraksional Fungsi Pangkat Tiga dan Fungsi Eksponensial Muhamad Deni Johansyah; Julita Nahar; Farid H. Badruzzaman
Matematika Vol 16, No 2 (2017): Jurnal Matematika
Publisher : Universitas Islam Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29313/jmtm.v16i2.3357

Abstrak. Ide dari konsep turunan fraksional adalah bagaimana menentukan turunan yang berorde suatu bilangan pecahan (fraksional) yaitu bilangan rasional atau bahkan bilangan real. Dalam makalah ini dikaji tentang definisi, teorema, dan karakteristik serta contoh turunan fraksional pada fungsi pangkat tiga dan fungsi eksponen yang dikembangkan oleh matematikawan Riemann dan Liouville. Metode penelitian yang ditempuh adalah melalui studi literatur primer, yaitu dengan mengembangkan teori yang telah dikerjakan peneliti terdahulu, sehingga metode tersebut dapat diterapkan untuk penyelesain masalah yang dapat diaplikasikan dan dikembangkan secara lebih luas. Hasil dari makalah ini berupa analisis dari turunan fraksional fungsi pangkat sederhana dan fungsi eksponensial.Keywords: turunan fraksional, fungsi pangkat tiga, fungsi eksponenAbstract. The idea of the fractional derivative concept is how to determine the derivation with fractional order, that is a rational number or even a real number. In this paper, we examine the definitions, theorems, and the characteristics as well as fractional derivatives example of the cubic and exponential functions in which developed by mathematician Riemann and Liouville. This research is done by primary literature review, that is by developing the theory that has been done by the previous researcher, so that the method of problem solving can be applied and developed widely. The results of this paper are the analysis of fractional derivatives from simple-order and exponential functions.Keywords: fractional derivatives, cubic functions, exponential functions

Supply Chain Management Planning for a Project Using the Fuzzy Logic and Crasing Program Method Elis Hertini; Julita Nahar
International Journal of Supply Chain Management Vol 9, No 4 (2020): International Journal of Supply Chain Management (IJSCM)
Publisher : International Journal of Supply Chain Management

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

Project management is a strategy that needs to be done in project planning and scheduling. With the preparation of a good project management, it can be estimated the time and cost needed to run the project, so as to minimize cost losses due to possible project lags. Project scheduling is one element of planning results, which can provide information about project schedules, plans and progress. Project time management can be arranged using the Critical Path Method (CPM) and Program Evaluation and Review Technique (PERT). One alternative to accelerate project completion (Crashing) is by adding project costs using the Crasing Program Method. To overcome the uncertainty of scheduling time and project costs in calculations Fuzzy Logic is used. From the results of using Fuzzy Logic, we estimate the time and cost needed to carry out the project, so as to minimize cost losses due to possible time delays in the project. The results of using Fuzzy Logic on CPM and PERT project schedule on a house renovation project in Ujungberung Indah Bandung housing complex, requires a longer completion time, but the probability of completion of the project is higher, the use of the Crasing Program Method results in faster project completion times and lower incremental costs.

Principal Component Analysis (PCA) of Phytoplankton Community Relations Based on Physical-Chemical Structures for Supply Chain Management in the Waters of the Bangka Bay Region of West Bay Julita Nahar; Elis Hertini
International Journal of Supply Chain Management Vol 9, No 4 (2020): International Journal of Supply Chain Management (IJSCM)
Publisher : International Journal of Supply Chain Management

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

Phytoplankton as one of the most important organisms in the territorial waters, which is the beginning of the food chain in a territorial waters. Phytoplankton have certain tolerance limits to physical-chemical factors so that they will form different community structures. The relationship between chemical physics parameters with phytoplankton communities in a territorial waters, can be used as an indicator of water quality. West Bangka Regency has considerable marine and fisheries resource potential, especially for marine aquaculture. So research on the structure of the phytoplankton community in relation to the physical-chemical parameters of seawater needs to be carried out to see indicators of fertility and availability of natural food in the waters that will be used as a marine aquaculture location. To find out the relationship between physico-chemical parameters and phytoplankton abundance, Principal Component Analysis (PCA) was used. Some physico-chemical parameters observed were temperature, brightness, pH, salinity, coated oxygen (DO), phosphate, nitrate, and ammonia. The results show the eigenvalues value of the main component 1 (PC1) represents about 41.78% of the diversity of data with its main identifying variable, namely temperature with a loading factor value of -0.885, brightness with a loading factor value of -0.8872 and salinity with a loading factor value of 0.824. For the main component 2 (PC2) represents about 28.16% of the diversity of data with its founder variable, pH with a loading factor value of -0.841. As for the main component 3 (PC3), it represents 18.67% of the diversity of data with its originating variable, Nitrate, with a loading factor value of -0,700. So that it can be formed into 3 clusters namely the first cluster is temperature and salinity, the second cluster is pH and nitrate and the third cluster is DO, phosphate, and ammonia.

Forecasting Of Production And Export Indonesian Pepper Commodities Using Smoothing Exponential And Holt Winter Methods Hapiz Jasman; Eman Lesmana; Julita Nahar
IJEBD (International Journal of Entrepreneurship and Business Development) Vol 4 No 2 (2021): March 2021
Publisher : LPPM of NAROTAMA UNIVERSITY

Purpose: The last few years the contribution of Indonesian pepper in the world market has decreased and has been replaced by Vietnam. If in 2000 and a few years before Indonesia became the world’s main pepper exporter, since 2001 the position has been replaced by Vietnam. In 2006 Indonesia’s position fell back to number three the world was replaced by Brazil which was ranked second. In 2006 Indonesian exports outperformed brazil and returned to rank second. Based on data from the Directorate General of Plantations in 2015, the area under pepper in Indonesia tends to decrease from 2004 to 2015 with an average reduction of area of 3064.5 hectares per year. Based on data from the Directorate General of Plantation in 2015, the area of pepper in Indonesia tends to decline from 2004-2015 with an average reduction of 3,064.5 hectares per year. The occurrence of the deduction according to the Ministry of Agriculture (2013), among others, is caused by: (a) drought; (b) Pest and disease attacks, especially stem rot and jaundice; and (c) conversion of pepper into mining or other plantation land, such as oil palm, rubber or cocoa. Design/methodology/approach:. Methods used to predict the number of production and consumption of domestic and export of Indonesian pepper is Double exponential Smoothing Brown and the Smoothing exponential method of Holt-Winter. Research limitations/implications: This Paper discusses the predictions of production and domestic consumption and the export of Indonesian pepper.

Storm Eg Agent Profit and Loss Report in February 2022 Felix Daniel Budiman; Elis Hertini; Julita Nahar
International Journal of Research in Community Services Vol 3, No 4 (2022)
Publisher : Research Collaboration Community (RCC)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46336/ijrcs.v3i4.362

Financial statements are a fundamental thing in a company. One type of financial report is the income statement. The income statement is a report that provides information on the company's performance, which contains income and profit and loss expenses. This study aims to introduce good and simple income statements and understand financial statement analysis. This research uses quantitative methods by using vertical, horizontal and ratio financial analysis techniques. The result of this research is that the Storm egg agent records that the company's finances are in good condition based on the ratio analysis of gross profit margin and net profit margin. Based on the vertical and horizontal analysis, it was found that the company experienced profit growth from the first period to the second period.

Inventory Control for MSME Products Using the Q Model with Lost Sales Condition Based on Products Sales Forecasting Dita Aulia Nissa; Sudradjat Supian; Julita Nahar
International Journal of Quantitative Research and Modeling Vol 4, No 1 (2023)
Publisher : Research Collaboration Community (RCC)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46336/ijqrm.v4i1.417

Micro, Small and Medium Enterprises (MSMEs) have an important role in economic development in order to achieve thq quality of economic growth. Intense competition among MSMEs requires MSMEs to have a good inventory control that can help them minimize costs and maximize profits. One of the MSMEs that often experiences problems in inventory control is Sabun Bening Official. To solve the inventory problems in Sabun Bening Official, Holt-Winter Exponential Additive forecasting method is used as a guide to predict future product demand because product demand graph is seasonal and has trend pattern. After getting the value of product demand forecast, inventory control calucaltions are carried out using the Q Model probabilistic inventory method with lost sales condition. The uncertain and fluctuating demand causing the inventory system in Sabun Bening Official is probabilistic and the company will lose sales if it does not able to fulfill customer demands. Based on the research results, product forecasting for the coming period and inventory control policies which include the optimal number of product order, safety stock, reorder point, and product inventory costs can be obtained.

Apparel Production Optimization Model with Branch and Bound Method (Case Study: Sawargi Jersey Confectionery, West Java) Athaya Alyanisa; Julita Nahar; Nursanti Anggriani
International Journal of Quantitative Research and Modeling Vol 4, No 1 (2023)
Publisher : Research Collaboration Community (RCC)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46336/ijqrm.v4i1.412

The production optimization model can find optimal results and maximum profits from a production activity by considering certain limitations. In this research, a production optimization model was created based on data on apparel production in UMKM (Usaha Mikro, Kecil, dan Menengah) Konfeksi Sawargi Jersey in West Java by applying the Integer Linear Programming model and solving it using the Branch and Bound Method with the help of Software Python. This research was conducted because there are many business actors engaged in the same field, especially in the apparel and sports sectors, considering the problems that are often faced by UMKM owners, such as raw material supplies, production time, production costs, selling prices, production profits, and production limits, minimum and maximum production. Based on this study's results, the Branch and Bound Method application to optimize apparel production obtains more optimal results and maximum profits than the actual production carried out by UMKM Konfeksi Sawargi Jersey.

Penerapan Metode Multidimensional Scaling dalam Pemetaan Sarana Kesehatan di Jawa Barat Julita Nahar
Jurnal Matematika Integratif Vol 12, No 1: April, 2016
Publisher : Department of Matematics, Universitas Padjadjaran

Upaya kesehatan dapat diwujudkan dalam suatu pelayanan kesehatan atau sarana kesehatan. Kesehatan sangat berarti untuk pembangunan kesejahteraan masyarakat Indonesia. Pelayanan kesehatan yang baik akan menciptakan masyarakat yang sehat diseluruh kawasan baik dipedesaan maupun perkotaan. Penelitian ini ditujukan untuk memetakan sarana kesehatan yang ada di kota-kota di Jawa Barat. Hasil analisis yang dilakukan dengan menggunakan analisis Multidimensional Scaling memperlihatkan bagaimana pengelompokan kota-kota di Jawa Barat berdasarkan sarana kesehatan yang dimilikinya, Dari hasil pemetaan terdapat tiga kelompok kota yang memiliki kemiripan antar anggotanya namun berbedadengan kelompok lainnya. Tiap kelompok yang terbentuk memiliki kemiripan karakteristik dari jumlah fasilitas sarana kesehatan..Kata Kunci : Multidimensional Scaling, pemetaan, sarana kesehatan

Forecasting the Indonesian Coffee Production and Consumption Using the Modified Golden Section Search to Estimate the Smoothing Parameters Triesha Syifahati; Anita Triska; Julita Nahar
Jurnal Matematika Integratif Vol 19, No 1: April 2023
Publisher : Department of Matematics, Universitas Padjadjaran

The Double Exponential Smoothing (DES) and Triple Exponential Smoothing (TES) are forecasting methods that require two and three smoothing parameters, respectively. Smoothing parameters are often determined through a trial and error process that is not really efficient since many experiments need to be done. Therefore, in this study, a smoothing parameter estimation algorithm is conducted in the form of the modified Golden Section Search (GSS) to obtain the optimal smoothing parameters from the DES and TES methods. Forecasting is carried out on production, domestic consumption, and export consumption data of Indonesian coffee, which is one of the leading agricultural sub-sector commodities. The data is obtained from the Ministry of Agriculture of the Republic of Indonesia. The smoothing parameters obtained by applying the modified GSS are used to forecast production and domestic consumption data using the DES method, while the forecasting of the export consumption data is done with the TES method. All of the MAPE values are less than 20% which indicates that the smoothing parameters obtained by using the modified GSS are able to perform good forecasting. The results show that coffee production in Indonesia cannot meet its demand until 2024 since the total coffee consumption exceeds the production.

Co-Authors Adi Suripto Adi Suripto, Adi Afif Haekal Ismoyo Agus Supriatna Anisa Kisti, Vuji Anita Triska Annisa, Diana Apriliza, Poppy Arfemitha, Nurlia Asih Arrizal Fitrah Febryan Athaya Alyanisa Aufhar, Ihkam Amalul Bhagawanta, Hanif Ibnu D. P, Annisa Deny I. Rakhmatullah Diah Chaerani Dita Aulia Nissa Dwi Susanti Eddy Djauhari Elis Hertini Elis Hertini Eman Lesmana Eman Lesmana Eman Lesmana Endang Rusyaman Farid H. Badruzzaman Felix Daniel Budiman Gilar Sundara Hapiz Jasman Herlina Napitupulu Iin Irianingsih Iryani Indah Muhammad Akshay Kumar Muhammad Deni Johansyah Nazihah, Nazihah Nurlelasari Nurlelasari Nursanti Anggriani PUTRI NUR PRASETIA Rasyid, Thariq Ahmad Riaman . Ruby Larasati Ruby Larasati, Ruby Sri Purwani Sudradjat Sudradjat Supian Supian, Sudradjat Tri Mayanti Triesha Syifahati Vionanda, Aurellya Zulfikar Zulfikar

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