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All Journal LOGIK@ AKSIOMA: Jurnal Program Studi Pendidikan Matematika Transformasi: Jurnal Pengabdian Masyarakat JPPM (JURNAL PENELITIAN DAN PEMBELAJARAN MATEMATIKA) Wacana Akademika : Majalah Ilmiah Kependidikan JPMI (Jurnal Pembelajaran Matematika Inovatif) Budimas : Jurnal Pengabdian Masyarakat Science Map Journal BERNAS: Jurnal Pengabdian Kepada Masyarakat Jurnal Amal Pendidikan Jurnal Statistika dan Matematika (Statmat) Jurnal Lebesgue : Jurnal Ilmiah Pendidikan Matematika, Matematika dan Statistika Indonesian Journal of Engagement, Community Services, Empowerment and Development (IJECSED) International Journal of Engagement and Empowerment (IJE2) Jurnal Pengabdian dan Edukasi Sekolah (Jubaedah) Jurnal Nauli Journal of Science and Technology National Conference on Applied Business, Education & Technology (NCABET) Bandung Conference Series: Mathematics Jurnal Bayesian : Jurnal Ilmiah Statistika dan Ekonometrika Jurnal Taguchi : Jurnal Ilmiah Teknik dan Manajemen Industri International Journal of Mathematics and Mathematics Education (IJMME) Parameter: Jurnal Matematika, Statistika dan Terapannya Jurnal Pengabdian Kepada Masyarakat Bersinergi Inovatif Journal of Mathematics, Computation and Statistics (JMATHCOS)
Mahuda, Isnaini
Universitas Bina Bangsa
Religion Agriculture, Biological Sciences & Forestry Humanities Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Dentistry Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Mathematics Neuroscience Nursing Physics Public Health Social Sciences Veterinary Other

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OPTIMALISASI KEUNTUNGAN PRODUKSI MAKANAN MENGGUNAKAN PEMROGRAMAN LINEAR MELALUI METODE SIMPLEKS Tubagus Bakhrul Alam; Anggita Megasari; Ernawati Ernawati; Siti Ayu Amalia; Nenden Gustika Maulani; Isnaini Mahuda
Jurnal Bayesian : Jurnal Ilmiah Statistika dan Ekonometrika Vol. 1 No. 2 (2021): Jurnal Bayesian : Jurnal Ilmiah Statistika dan Ekonometrika
Publisher : LPPM Universitas Bina Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (433.975 KB) | DOI: 10.46306/bay.v1i2.22

Abstract

Meatballs are a type of meatball that is commonly found in Indonesian cuisine. Meatballs are generally made from a mixture of ground beef and tapioca flour, but there are also meatballs made from chicken, fish, or shrimp. Although meatballs are a chinese food, but this food has been found in Indonesia and is common. Meatballs have the characteristics of each region in Indonesia and many people like it. The purpose of this study is to optimize the sales profits of fish meatballs and fish meatball crackers. To obtain maskimal benefits, the right formula is needed through production planning with linear programming. One method that can be used in linear progamming is the simplex method that serves to find the optimum solution. Linear programming is a simplex method that works to find the optimum solution. Based on the results of linear programming analysis of the amount of fish meatball production obtained optimal profit formula Z = 500,000X1 + 200,000X2. From the calculation of the simplex method it can be concluded that there is an increase in sales profit of Rp.875,000 if the production of fish meatballs against the type of fish meatballs (X2) is increased as much as the previous production amount. The difference between the profit before and after optimization amounted to Rp. 175,000
PERBANDINGAN PERHITUNGAN PREMI ASURANSI JIWA BERJANGKA, SEUMUR HIDUP, DAN DWIGUNA PADA KASUS LAKI-LAKI DAN PEREMPUAN Ahmad Jamiluddin Fikri; Ajeng Afifah Muhartini; Oman Sharoni; Tanti Febrianti; Isnaini Mahuda
Jurnal Bayesian : Jurnal Ilmiah Statistika dan Ekonometrika Vol. 2 No. 1 (2022): Jurnal Bayesian : Jurnal Ilmiah Statistika dan Ekonometrika
Publisher : LPPM Universitas Bina Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (158.996 KB) | DOI: 10.46306/bay.v2i1.26

Abstract

Life insurance is insurance that handles the risks that occur in human life. Insurance company as a handler where the insurance company will pay a certain amount of money in case of death risk to the insurance policyholder. There are two types of premiums, namely net premiums and gross premiums. The premium to be calculated is a single premium. Premium payments on life insurance in the same time, lifetime and bi-use in this study are payments made at once or can be called a single premium. Based on the example of the case of prebandan term life insurance premiums, life insurance for life and bipurpose life insurance between men and women. The value of a single premium of life insurance as long as life has a lower pemi niai and the single lai pemi of bipurpose life insurance has a higher pemi value
ANALISIS PENGARUH JENIS KELAMIN, TINGKAT SEMESTER DAN MEDIA SOSIAL TERHADAP IPK MAHASISWA DENGAN PENDEKATAN BINARY LOGISTIC REGRESSION: Studi kasus mahasiswa Universitas Bina Bangsa Sri Sukmawati; Isnaini Mahuda; Ernawati Ernawati; Tubagus Bakhrul Alam
Jurnal Bayesian : Jurnal Ilmiah Statistika dan Ekonometrika Vol. 3 No. 1 (2023): Jurnal Bayesian : Jurnal Ilmiah Statistika dan Ekonometrika
Publisher : LPPM Universitas Bina Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (234.537 KB) | DOI: 10.46306/bay.v3i1.46

Abstract

Student Grade Point Average (GPA) is a number that shows the achievement or progress of student learning cumulatively from the beginning of the semester to the end. Many things can affect a student's GPA score. This study aims to see the relationship between gender, semester level and student time in using social media on the GPA obtained. The method used is binary logistic analysis (Binary Logistic Regression / BLR) with 1 response variable and 3 predictor variables. The Y categorical data is the GPA of students who are categorized and . Another categorical variability is gender. The conclusions show that student GPA can be explained by variables in the study or student GPA is influenced by gender, semester level and student time in using social media
ANALISIS STRATEGI PENGEMBANGAN USAHA TAS RANSEL DI CV. RIFKY ARAFA DENGAN MENGGUNAKAN METODE SWOT DAN QSPM Akbar Nugraha; Dedy Khaerudin; Isnaini Mahuda
Jurnal Taguchi : Jurnal Ilmiah Teknik dan Manajemen Industri Vol. 3 No. 1 (2023): Jurnal Taguchi : Jurnal Ilmiah Keilmuan Teknik dan Manajemen Industri
Publisher : LPPM Universitas Bina Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46306/tgc.v3i1.63

Abstract

CV. Rifky Arafa is a type of micro, small and medium enterprise (UMKM) which is engaged in the convection sector. Located in Kadugenep, Kab. Serang-Banten, it is also included in the center of the bag industry because the majority of the population are bag craftsmen. The beginning of this business was founded in 1997 by Bpk. H. Rohman’s and his brother, he used to work as a convection tailor in Jakarta. One year later, coinciding with the 1998 monetary crisis, caused many convection businesses in Jakarta to go bankrupt so that the migrants from Kadugenep Village automatically returned to their hometowns. The purpose of this research is to find out how the results of the analysis of business development strategies that must be carried out by CV. Rifky Arafa best done. And what are the results of the analysis using the SWOT and QSPM methods. The analysis used to formulate the strategy is the IFE matrix, EFE matrix, IE matrix, SWOT matrix and QSPM. Internal factors that influence the strength factor in developing a backpack business are three factors with the highest value, namely quality products, maintaining the quality of raw materials well, and CV. Rifky Arafa already has a business license (0.395), from the weakness factor, namely the need for additional capital costs to develop a business, especially CV. Rifky Arafa (0,129). While the external factors that influence the opportunity factor are the need to use sophisticated machines to increase production (0,603), and the threat factor is the increase in market demand in a certain month (0,235). CV. Rifky Arafa is in a position (growth and build) or grows and develops with IFE (3,161) and value of EFE is (3,066). The largest TAS value with a value of 8,000 is the need for work motivational guidance to its employees, and also the need for additional costs to develop a business in the bag industry center, especially on CV. Rifky Arafa
STRUKTURAL EQUATION MODEL (SEM) MENGANALISIS JALUR PATH KOMPETENSI DAN KOMPENSASI TERHADAP PRODUKTIVITAS KARYAWAN DI CV. SEMARANG INDAH Rofiroh Rofiroh; Faqihuddin Faqihuddin; Isnaini Mahuda
Jurnal Lebesgue : Jurnal Ilmiah Pendidikan Matematika, Matematika dan Statistika Vol. 4 No. 3 (2023): Jurnal Lebesgue : Jurnal Ilmiah Pendidikan Matematika, Matematika dan Statistik
Publisher : LPPM Universitas Bina Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46306/lb.v4i3.371

Abstract

The purpose of this study was to analyze and improve students' mathematical critical thinking skills in terms of learning styles in class X MIPA 1 students at SMAN 9 Depok. The research method used in this research is analytical method. The sampling technique used purposive sampling technique. Instruments for collecting data in this study were in the form of a learning style questionnaire and a test of critical thinking skills. All students of class X MIPA 1 were identified with the type of learning style by using learning styles and critical thinking skills tests taken by 6 students representing each type of learning style of 2 students. The test is carried out on the Absolute Value material. Furthermore, the analysis of all data is carried out with the following steps: data reduction stage, data presentation stage, and conclusions. The results showed that: 1) students with visual learning styles were able to overcome indicators at the stage of providing simple explanations and arranging tactics but were less able to meet indicators at the inference stage, 2) students with auditory learning styles were less able to reach the stage of providing simple explanations but were able to in arranging strategies-tactics and inference stages, 3) students with kinesthetic learning styles are able to fulfill all indicators at the stage of giving simple explanations, setting strategies-tactics, and inferences
PENYULUHAN INFORMASI PERANAN STATISTISI DALAM MENGHADAPI REVOLUSI INDUSTRI 4.0 MELALUI TALKSHOW DI RADIO MEGASWARA 91.4 FM Isnaini Mahuda; Miftahul Huda
BUDIMAS : JURNAL PENGABDIAN MASYARAKAT Vol 4, No 2 (2022): BUDIMAS : VOL. 04 NO. 02, 2022
Publisher : LPPM ITB AAS Indonesia Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29040/budimas.v4i2.4846

Abstract

Peranan seorang Statistisi sangat penting dalam menghadapi tantangan Big Data di Era Revolusi Industri 4.0 saat ini. Kegiatan PKM yang dikemas dalam bentuk talkshow pendidikan ini bertujuan untuk: 1) memperkenalkan kepada masyarakat luas khususnya para pelajar mengenai ilmu statistika dan profesi di bidang Statistika atau Statistisi; 2) Mengedukasi masyarakat khusunya para pelajar agar dapat mengetahui peranan dari para ahli di bidang Statistika atau Statistisi dalam menghadapi tantangan dari kemunculan Big Data di Era Revolusi Industri 4.0. Metode dalam kegiatan PKM ini adalah penyuluhan yang dilakukan secara on air mengunakan Radio Megaswara dengan frekuensi 91.4 FM yang diikuti oleh peserta dengan jumlah tak terbatas dari berbagai daerah di Banten, maupun luar Banten yang mampu menangkap frekuesi radio Megaswara dengan target utama yaitu pelajar atau generasi milenial. Adapun kesimpulan dari kegiatan PKM ini diantaranya yaitu: 1) Ilmu statistika sangat penting dalam menganalisis serta menginterpretasikan hasil data yang berguna dalam pengambilan kesimpulan dan keputusan sehingga profesi Statistisi sangat dibutuhkan dan banyak dicari di era revolusi industri 4.0 ini; 2) Peranan seorang Statistisi dalam melakukan metode analisis yang tepat untuk memproses informasi dan ketersediaan data yang cukup besar (Big Data) ini menjadi jawaban atas tantangan yang harus dihadapi dalam Era Revolusi Industri 4.0.
Pemodelan Matematika dan Analisis Kestabilan Model Pada Penyebaran HIV/AIDS Tipe SITA (Susceptible, Infected, Treatment, AIDS) Mahuda, Isnaini; Rofiroh, Rofiroh
JOSTECH Journal of Science and Technology Vol 4, No 1: Maret 2024
Publisher : UIN Imam Bonjol Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15548/jostech.v4i1.8323

Abstract

HIV/AIDS still become a major public health problem that occurs in almost all countries in the world. Until now, no medicine has been found that can treat HIV/AIDS. However, there is therapy or treatment that can be done to slow the spread of the virus, namely antiretroviral (ARV) or called Antiretroviral Therapy (ART). The mathematical modeling carried out in this study uses the SITA type where there are 4 compartments, namely Susceptible (S), Infected (I) Treatment (T), and AIDS (A) in a closed population. The objectives of this research are: 1) to construct a mathematical model for the spread of SITA type HIV/AIDS, 2) determine the equilibrium point and stability of the equilibrium point of the model, 3) determine the basic reproduction number (R_0), and 4) carry out a dynamic simulation of the model. Mathematical modeling of the spread of SITA type HIV/AIDS produces two equilibrium points, namely the disease-free equilibrium point (E_1) and the endemik equilibrium point (E_2). From the results of the analysis, the basic reproduction ratio (R_0) was also obtained by building a matrix called the Next Generation Matrix (NGM). The basic reproduction ratio number (R_0) also determines the existence and stability of the equilibrium point and can control the rate of spread of HIV/AIDS. Based on the simulation results, the parameter value that greatly influences population dynamics is the rate of treatment given to the Infected (I) sub population.
IMPLEMENTATION OF HOLT-WINTER METHOD TO FORECAST FOOD SUB-GROUP OF CONSUMER PRICE INDEX IN SERANG CITY Febrianti, Tanti; Mahuda, Isnaini; Rahmatullah, Asep; Mursyidah, Himmatul
Jurnal Bayesian : Jurnal Ilmiah Statistika dan Ekonometrika Vol. 4 No. 2 (2024): Jurnal Bayesian : Jurnal Ilmiah Statistika dan Ekonometrika
Publisher : LPPM Universitas Bina Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46306/bay.v4i2.85

Abstract

Serang City is belong in 90 inflation cities in Indonesia and first ranking in the city with the highest inflation rate in Banten Province in 2021. Consumer Price Index (CPI)is an index used to measure the rate of inflation/deflation. The one of CPI category is Food. This research aims to predict the value of the CPI at COICOP of Food in Serang City after pandemic of Covid-19. The data used is secondary CPI data for the Food sub-group in Serang City for the period January 2020 to June 2022 obtained from the official website of the Central Statistics Agency (BPS). In this research, to predict the CPI of the Food Sub-group in Serang City using the Holt-Winter method. Results of the research showed that the CPI data pattern of the Food Sub-group in Serang City had a Multiplicative Holt-Winter pattern with seasonal length is 12. The accuracy of the forecasting value was carried out by calculating the average MAPE and MSE errors. The optimal parameter weight of Holt-Winter Multiplicative method obtained alpha is 0.5, gamma is 0.3 and delta is 0.1. Forecasting using Holt-Winter Multiplicative method obtained a significant increase in the CPI value from July to December 2022 with the MAPE accuracy value is 0.72261 and the MSE is 1.33681
IMPLEMENTATION OF ARIMA METHOD TO FORECAST CPI FOR COICOP OF FOOD, BEVERAGE AND TOBACCO IN NEW NORMAL PERIOD Mahuda, Isnaini; Rahmawati, Septi Dwi; Sukmawati, Sri; Abdullah, Syarif
Jurnal Bayesian : Jurnal Ilmiah Statistika dan Ekonometrika Vol. 4 No. 2 (2024): Jurnal Bayesian : Jurnal Ilmiah Statistika dan Ekonometrika
Publisher : LPPM Universitas Bina Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46306/bay.v4i2.87

Abstract

CPI is one of the economic indicators that can provide information on development of prices for goods and services paid by consumers or the society, especially urban societies. CPI is usually used to measure price changes, but not to measure the price level. In addition, the CPI also can be used as a benchmark to determine inflation or deflation in a certain area. CPI value after the COVID-19 pandemic is the object to be predicted. There are 11 category in the CPI. This category is named COICOP which one of it is food, beverage and tobacco. The purpose of this research was to determine the ARIMA model to forecast the CPI value in the COICOP of food, beverage and tobacco in Banten Province. The data used is CPI data of COICOP for food, beverage and tobacco in Banten period January 2019 to April 2022. Based on these data obtained several prospective ARIMA models that passed the model diagnostic stage. The Models are ARIMA (0.3,1), ARIMA (1,3,0) and ARIMA (2,3,0) with MSE 1.1294, 1.9496 and 1.2484. The ARIMA (0.3.1) model was chosen because it has the smallest MSE value of 1.1294. Forecasting using the ARIMA (0.3.1) model obtained a significant increase in the CPI value from May to December 2022
CLUSTER ANALYSIS USING HIERARCHIC METHOD BASED ON HUMAN DEVELOPMENT INDICATORS OF DISTRICT/CITY IN BANTEN PROVINCE Muhartini, Ajeng Afifah; Mahuda, Isnaini; Sukmawati, Sri; Agusutrisno, Agusutrisno
Jurnal Bayesian : Jurnal Ilmiah Statistika dan Ekonometrika Vol. 4 No. 2 (2024): Jurnal Bayesian : Jurnal Ilmiah Statistika dan Ekonometrika
Publisher : LPPM Universitas Bina Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46306/bay.v4i2.88

Abstract

Human Development Index is a measure of human development achievement based on a number of basic components from quality of life. Cluster analysis is a technique used to categorize objects into different groups from another groups. The purpose of this research is to classify districts/cities based on indicators of Human Development Index (HDI) with the hierarchic method in Banten Province. This research was conducted to determine the characteristics of each group based on HDI indicators in Banten Province. The data used is secondary data with the population are all regencies/cities in Banten Province which includes Tangerang City, South Tangerang City, Serang Regency, Pandeglang Regency, Lebak Regency, Tangerang Regency, Cilegon City and Serang City. Cluster analysis was carried out using single linkage, average linkage, and complete linkage methods. The results of the study obtained 2 clusters in each of these methods with different characteristics. The first cluster is a cluster with characteristics of District, while the second cluster is a cluster with characteristics of City. The conclusion from this research is that the characteristics of each first cluster have a lower average value than the second cluster
Co-Authors 04, Meida Fitriani Agusutrisno Agusutrisno, Agusutrisno Ahmad Jamiluddin Fikri Ahmad Mukhlis, Ahmad Ajeng Afifah Muhartini Ajeng Afifah Muhartini Akbar Nugraha Amah Suhamah Anggita Megasari Anton Nasrullah, Anton Aria Cendana Kusuma Arta Rusidarma Putra Asep Rahmatullah Asnawi Asnawi Asshiddieqie, Rafi Ramadhan Atia Sonda Ayang Fristia Maulana Beni Junedi Beni Junedi Bhat , Ishfaq Ahmad Caesarani, Sarah Dedy Khaerudin Desiyani, Risma Eka Dewi Anita Layli Ernawati Ernawati Faqihuddin Faqihuddin Febrianti, Tanti HAMIDAH Harsono, Pram Hibar , Ujang Hidayanti, Nur Hidayat, Amat Himmatul Mursyidah Holilah Jaka Wijaya Kusuma Junedi, Beni M. Adlan Abizar Melani Dwi Agustini Miftahul Huda Miftahus Sholihin Mira Marlina Muhartini, Ajeng Afifah Nenden Gustika Maulani Nirmalasari, Dinar Nisa’, Khoirotun Novel, Mochamad Nur Aini F Nurhasan Nugroho Nurhayati Oman Sahroni Oman Sharoni Pardomuan Robinson Sihombing Purwaningsih, Zenny Puspita Maelani Rahmawati, Septi Dwi Ranny Meilisa Ranny Meilisa Ratnasari, Silvia Regita Alfianti Rofiroh Rofiroh Rofiroh, Rofiroh Saeful Hidayat Sari, Putri Dina Septi Dwi Rahmawati SIREGAR, DINA KHAIRUNA Siti Ayu Amalia Solihin Sri Sukmawati Sri Sukmawati Suseno, Bambang Dwi Syarif Abdullah Tanti Febrianti Taufan Talib Tubagus Bakhrul Alam Udiansyah, Naufal Arrafi Ulfi Jefri Wahyu Wiguna