Jurnal Sains Matematika dan Statistika最新文献

PEMODELAN INTEGER PREEMPTIVE GOAL PROGRAMMING DALAM MENGOPTIMALKAN PERENCANAAN PRODUKSI DI UKM RENGGINANG KALIMANTAN BARAT 在优化西加里曼丹 Rengginang 小型企业生产计划的过程中建立整数抢先目标编程模型。

Jurnal Sains Matematika dan Statistika Pub Date : 2023-10-09 DOI: 10.24014/jsms.v9i2.23261

Ikka Rahmawati, M. Kiftiah., Meliana Pasaribu

{"title":"PEMODELAN INTEGER PREEMPTIVE GOAL PROGRAMMING DALAM MENGOPTIMALKAN PERENCANAAN PRODUKSI DI UKM RENGGINANG KALIMANTAN BARAT","authors":"Ikka Rahmawati, M. Kiftiah., Meliana Pasaribu","doi":"10.24014/jsms.v9i2.23261","DOIUrl":"https://doi.org/10.24014/jsms.v9i2.23261","url":null,"abstract":"Small and Medium Enterprises (SMEs) Rengginang is a factory enganged of production and sale of rengginang. In the production process, Rengginang SMEs do not yet have an appropriate production plan in accordance with the availability of raw materials and the number of requests. The rengginang production process related to the availability of raw materials and the amount of custumer demand, but in the production process rengginang SMEs do not yet have a plan proper production so that the resulting profit and production costs have not optimal. The integer preemptive goal programming model is an optimization model whose decision variable values are integers. This model can optimize more than one objective and has priority in optimizing it. The purpose of this research is to find the optimal solution of 4 priority that has been determined by modeling integer preemptive goal programming which is solved by the modified simplex method. In the modified simplex table, there is a change in the non-basic variable which will become the input variable, starting with the decision variable, followed by the negative deviation variable and the positive deviation variable. Based on the calculation, the result optimal number of requests for rengginang is 1.307 packs for black sticky rice rengginang, 1.361 packs for onion rengginang, 1.264 packs for salty rengginang and 1.280 packs for spicy rengginang. In the production process the rengginang obtained the minimalfees must be issued Rp 42.437.300 with a maximum profit of Rp 59.619.250. However, to achieve the optimal solution, an additional 1,4 kg of black sticky rice is required so that the total raw material provided as much as 261,4 kg and the excess raw materials white sticky rice is 3,05 kg meaning that the raw materials for white sticky rice is reduced by 3,05 kg to 1106,95 kg.","PeriodicalId":403832,"journal":{"name":"Jurnal Sains Matematika dan Statistika","volume":"51 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-10-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139321663","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}

引用次数: 0

Klasterisasi Produksi Tanaman Perkebunan di Provinsi Jawa Timur Menggunakan Algoritma Fuzzy C-Means 使用模糊 C-Means 算法对东爪哇省的种植作物生产进行聚类

Jurnal Sains Matematika dan Statistika Pub Date : 2023-08-31 DOI: 10.24014/jsms.v9i2.22735

Shofinatul Wahdah Nur Aulia, P. K. Intan

引用次数: 0

Analisis Perbandingan Pengelompokan Kota di Indonesia Berdasarkan Indikator Inflasi Tahun 2021 dengan Metode Ward dan K-Means 基于 2021 年通货膨胀指标的印尼城市集群比较分析（沃德法和 K-Means 法

Jurnal Sains Matematika dan Statistika Pub Date : 2023-08-31 DOI: 10.24014/jsms.v9i2.21100

Lia Puspita Sari, Aris Fanani, Ahmad Hanif Asyhar

引用次数: 0

Analisis Kestabilan Model Penyebaran Penyakit Antraks Tipe SVEIQR pada Ternak SVEIQR 型炭疽病在牲畜中传播模型的稳定性分析

Jurnal Sains Matematika dan Statistika Pub Date : 2023-08-29 DOI: 10.24014/jsms.v9i2.21529

S. Sugiarto, Asmirani Alam

引用次数: 0

Pengujian Model Regresi Logistik Pengaruh Minat Belajar dan Lingkungan Keluarga Terhadap Kemandirian Siswa 检验学习兴趣和家庭环境对学生独立性影响的逻辑回归模型

Jurnal Sains Matematika dan Statistika Pub Date : 2023-08-29 DOI: 10.24014/jsms.v9i2.23304

Atiqotur Royyani, Sri Harini, Turmudi Turmudi, Elly Susanti, Ina Maya Sabara, Andi Mulyani, A. Salsabila

{"title":"Pengujian Model Regresi Logistik Pengaruh Minat Belajar dan Lingkungan Keluarga Terhadap Kemandirian Siswa","authors":"Atiqotur Royyani, Sri Harini, Turmudi Turmudi, Elly Susanti, Ina Maya Sabara, Andi Mulyani, A. Salsabila","doi":"10.24014/jsms.v9i2.23304","DOIUrl":"https://doi.org/10.24014/jsms.v9i2.23304","url":null,"abstract":"Student independence is one indicator of achieving goals in learning. Student independence is influenced by internal and external factors which include interest in learning and family environment. This study aims to determine the effect of interest in learning and family environment on student independence. This study uses a logistic regression model approach with interest in learning and family environment as independent variables and student independence which is classified based on a Likert scale of 1 (not very independent), 2 (not independent), 3 (independent), and 4 (very independent) as variables dependent. Respondents in this study were taken from 146 students at MA Al-Karimi Tebuwung, Dukun, Gresik using a random sampling technique. The results of the study with an error rate of 5% obtained three mathematical models of the influence of interest in learning and the family environment on student independence. Based on the results of the analysis, three models of student independence levels were obtained which consisted of very not independent, not independent, and independent. This result is supported by a coefficient of determination of 40.3% which explains that interest in learning and the family environment have an influence of 63.2% on student independence compared to other influences.","PeriodicalId":403832,"journal":{"name":"Jurnal Sains Matematika dan Statistika","volume":"2010 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-08-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139348492","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}

引用次数: 0

DETERMINAN MATRIKS RFPrLrRcirc_r (a,a,0,…,0) ORDO n×n (n≥3) MENGGUNAKAN METODE SALIHU RFPrLrRcirc_r (a,a,0,...,0) ORDO n×n (n≥3) MENGGUNAKAN METHOD SALIHU

Jurnal Sains Matematika dan Statistika Pub Date : 2023-08-29 DOI: 10.24014/jsms.v9i2.21971

Ade Novia Rahma, Tiara Fitri, Rahmawati Rahmawati

引用次数: 0

Pemodelan Gizi Buruk Balita Di Indonesia Dengan Model Robust Spasial Autoregresif 用稳健的空间自回归模型模拟印度尼西亚 5 岁以下儿童营养不良问题

Jurnal Sains Matematika dan Statistika Pub Date : 2023-08-29 DOI: 10.24014/jsms.v9i2.23362

Tasya Abrari, Ferra Yanuar, Dodi Devianto

引用次数: 0

Pemodelan Geographically Weighted Regression Pada Angka Partisipasi Kasar Perguruan Tinggi Di Indonesia Tahun 2022 2022 年印度尼西亚高等教育毛入学率的地域加权回归模型

Jurnal Sains Matematika dan Statistika Pub Date : 2023-08-29 DOI: 10.24014/jsms.v9i2.22729

Fenny Fitriani, Eufrosiana Ga’a Bara, Artanti Indrasetianingsih

{"title":"Pemodelan Geographically Weighted Regression Pada Angka Partisipasi Kasar Perguruan Tinggi Di Indonesia Tahun 2022","authors":"Fenny Fitriani, Eufrosiana Ga’a Bara, Artanti Indrasetianingsih","doi":"10.24014/jsms.v9i2.22729","DOIUrl":"https://doi.org/10.24014/jsms.v9i2.22729","url":null,"abstract":"The Gross Enrollment Rate in Higher Education (GER-HE) is the proportion of students in higher education, regardless of age, compared to the typical college age (19-23 years). The GER HE is one of the education indicators of concern for sustainable development (SDGs). Nationally, the average GER HE in Indonesia is still low and has not reached the national target of 34,56% from year to year. In addition, when viewed from the GER HE in each province, it turns out that it has different values for each province. This indicates the possibility of differences in characteristics from region to region. One way to overcome this problem is to use the Geographically Weighted Regression (GWR) method. This article discusses the factors that have a significant effect on the GER of He in all provinces in Indonesia based on the GWR method. From the rest results, it is found that the factors that significantly affect the GER HE in Indonesia are GRDP per capita, adjusted per capita expenditure, percentage of poor people, percentage of papulation aged 15 years and over with higher education completed in college, literacy rate aged 15-24 years anda the ratio of lecturers per student. Modeling the GER HE for each province in Indonesia with the GWR method is able to provide the best modeling results with a coefficient of determination of 97,44%.","PeriodicalId":403832,"journal":{"name":"Jurnal Sains Matematika dan Statistika","volume":"23 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-08-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139348425","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}

引用次数: 0

Penerapan Pemodelan Space-Time Pada Data Inflasi Bulanan Di DKI Jakarta, Depok, Dan Bogor Tahun 2017-2021 将时空模型应用于 2017-2021 年雅加达、德波和茂物的月度通货膨胀数据

Jurnal Sains Matematika dan Statistika Pub Date : 2023-08-29 DOI: 10.24014/jsms.v9i2.22257

Dwi Darma Puspita Sari

引用次数: 0

Pemodelan Status Gizi Balita Menggunakan Regresi Logistik Ordinal (Studi Kasus: Puskesmas Limapuluh Di Kota Pekanbaru) 利用顺序逻辑回归建立幼儿营养状况模型（案例研究：北干巴鲁市的 Puskesmas Limapuluh）

Jurnal Sains Matematika dan Statistika Pub Date : 2023-07-18 DOI: 10.24014/jsms.v9i2.19080

Rahmadeni Rahmadeni

引用次数: 0