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All Journal BAREKENG: Jurnal Ilmu Matematika dan Terapan EIGEN MATHEMATICS JOURNAL Jurnal Abdi Insani As-Sidanah : Jurnal Pengabdian Masyarakat Unnes Journal of Mathematics Basis : Jurnal Ilmiah Matematika Coreid Journal Tematik
Ineu Sulistiana, Ineu
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Religion Agriculture, Biological Sciences & Forestry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Education Energy Engineering Environmental Science Health Professions Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Mathematics Mechanical Engineering Physics Social Sciences Transportation Other

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PEMETAAN KARAKTERSTIK KEMISKINAN DENGAN ANALISIS BIPLOT PADA KABUPATEN/KOTA DI PROVINSI KEPULAUAN BANGKA BELITUNG Sulistiana, Ineu; Hidayati, Hidayati
Unnes Journal of Mathematics Vol 9 No 2 (2020)
Publisher : Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/ujm.v9i2.34931

Abstract

Studi pembangunan saat ini tidak hanya memfokuskan kajiannya pada faktor-faktor yang menyebabkan kemiskinan, akan tetapi juga mulai mengindentifikasikan segala aspek yang dapat menjadikan miskin. Salah satu dimensi kemiskinan menurut Chambers (1987) adalah keterasingan. Maksud dimensi ini adalah faktor lokasi yang menyebabkan seseorang atau sekelompok orang menjadi miskin. Pada umumnya masyarakat yang disebut miskin ini berada pada daerah yang jauh dari pusat-pusat pertumbuhan ekonomi. Hal ini dikarenakan sebagian besar fasilitas kesejahteraan lebih banyak terkonsentrasi di pusat-pusat pertumbuhan ekonomi seperti di perkotaan atau kota-kota besar. Masyarakat yang tinggal di daerah terpencil atau sulit dijangkau oleh fasilitas-fasilitas kesejahteraan relatif memiliki taraf hidup yang rendah sehingga kondisi ini menjadi penyebab adanya kemiskinan. Analisis biplot merupakan salah satu metode untuk mendeskripsikan data dan membuat pemetaan dengan tampilan grafik atau plot dalam dua dimensi. Salah satu hal penting yang bisa didapatkan dari tampilan biplot adalah kedekatan antar objek yang diamati. Informasi ini dapat dijadikan panduan untuk mengetahui objek yang memiliki kemiripan karakteristik dengan objek lain. Penelitian ini dilakukan untuk mengetahui pemetaan karakteristik kemiskinan pada setiap kabupaten/kota di Provinsi Kepulauan Bangka Belitung menggunakan analisis biplot. Hasil analisis menunjukkan bahwa Kabupaten Bangka, Bangka Barat dan Bangka Tengah berada di kuadran yang sama atau dengan kata lain ketiga kabupaten tersebut memiliki kesamaan karakteristik kemiskinan yang cukup dekat. Kabupaten yang memiliki kesamaan karakteristik kemiskinan yang cukup dekat lainnya yaitu Kabupaten Belitung dan Kota Pangkalpinang. Sedangkan Kabupaten Bangka Selatan dan Belitung Timur masing-masing berada pada kuadran yang berbeda atau dengan kata lain kedua kabupaten tersebut tidak memiliki kesamaan karakteristik kemiskinan yang cukup dekat dengan kabupaten/kota lainnya.
PELATIHAN MASK FOR MONEY SEBAGAI CARA BERTAHAN DI ERA PANDEMI Anggita, Wenni; Wahyudin, Nanang; Sulistiana, Ineu
TEMATIK Vol. 2 No. 1 (2022): Januari
Publisher : Universitas Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26623/tmt.v2i1.3750

Abstract

Pemakaian masker adalah kebutuhan dasar bagi kita di era pandemic covid-19 untuk mengurangi penyebaran virus tersebut. Kenyamanan pemakaian masker tersebut sangatlah penting demi kenyamanan si pemakai agar dapat terus dipakai dan menjaga protokoler Kesehatan yang telah ditetapkan Pemerintah. Bentuk masker yang berbeda-beda pula membutuhkan beberapa perlengkapan bantuan guna kenyamanan si pemakai yang salah satunya adalah konektor masker. Konektor masker ini dibuat dengan beberapa bahan antara lain manik-manik dan pengait untuk menghubungkan langsung dengan masker. Dengan adanya fenomena seperti ini, tim pengabdian dari Universitas Bangka Belitung menjalin Kerjasama dengan ibu-ibu dari desa tanjung gunung kecamatan pangkalan baru kabupaten bangka tengah melakukan pendampingan pembuatan konektor masker dengan harapan dapat membantu perekonomian masyarakat setempat dengan menghasilkan uang tambahan dari penjualan konektor masker tersebut.Teknik dan metode yang digunakan dalam keiatan pengabdian ini adalah dengan  memberikan pelatihan dan pendampingan pembuatan konektor masker sampai dengan pengemasan dan penjualan produk. Pada saat pelatihan pembuatan masker, pelatih berasal dari tim pengabdian UBB sendiri dan juga di damping oleh salah satu warga yang sduah mahir dalam pembuatan konektor masker. Sedangkan untuk pendampingan, dilakukan dari awal sampai dengan pembuatan pembukuan sederhana untuk penjualan produk tersebut. Hasil dari kegiatan Pengabdian kepada Masyarakat yaitu terjualnya produk konektor masker ini hingga dapat keuntungan yang nantinya akan dijadikan modal lagi untuk produk-produk yang lebih kreatif lainnya.
GASTRONOMY GENERATION Z IN BANGKA BELITUNG ISLANDS PROVINCE: EMPOWERING ENTREPRENEURIAL AWARENESS AND HALAL FOOD INNOVATION Fitriyanti, Eka; Rahmani, Zikri; Sulistiana, Ineu; Hartati, Lasmi
As-Sidanah Vol 6 No 2 (2024): OKTOBER
Publisher : LP2M Universitas Ibrahimy

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35316/assidanah.v6i2.423-437

Abstract

This community service program is important to empower Generation Z in Bangka Belitung. Generation Z is expected to participate actively in the rapidly growing halal culinary industry. This service aims to improve participants' knowledge and skills related to halal food innovation so that they can develop competitive businesses in local and global markets. The service's target is Generation Z in Bangka Belitung, which shows a strong interest in culinary entrepreneurship, especially in halal food and beverages. The method used in this service activity is Participatory Action Research (PAR), which includes preparation stages such as initial research and needs analysis, identification and training, location selection, and promotion and registration of participants. During the implementation, interactive training and mentoring were carried out, which focused on halal product innovation, digital marketing, and business development. The service activity results showed a significant increase in participants' understanding of the halal certification process, digital marketing techniques, and their ability to design innovative halal culinary businesses. This program contributes to the development of the capacity of young entrepreneurs, with positive implications for increasing the competitiveness of local halal products.
Comparison of Rainfall Prediction Results in South Bangka Regency Using Support Vector Regression and SARIMA Wati, Pitra; Adriyansyah, Adriyansyah; Sulistiana, Ineu
CoreID Journal Vol. 2 No. 3 (2024): November 2024
Publisher : CV. Generasi Intelektual Digital

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.60005/coreid.v2i3.87

Abstract

Rainfall is one of the key climate variables. It plays an important role in the hydrological cycle. In the field of agriculture, it is crucial as it determines the availability of water for crops, helping farmers manage water scarcity issues. South Bangka is one of the districts with the highest rice production levels compared to other districts in the Bangka Belitung Islands Province. This study aims to predict the rainfall in South Bangka for the next four years, from January 2024 to December 2027, using the Support Vector Regression (SVR) and SARIMA methods. The results of this study indicate that the SVR method is the best for prediction compared to the SARIMA method, with an average MAPE value of 0.03%. The kernel used is the Radial Basis Function (RBF), with parameter values including epsilon (ԑ) of 0.0001, Cost (C) of 1000, and gamma (γ) of 235. The MAPE value for the training data is 0.045%, and for the test data, it is 0.015%. The best SARIMA model is (3,1,3)(1,1,3)24 with a MAPE value of 15.51%.
Model Regresi Cox Untuk Data Masa Studi (Studi Kasus: Data Masa Studi Mahasiswa Fakultas Teknik Universitas Bangka Belitung) Sulistiana, Ineu; Kustiawan, Elyas; Amelia, Ririn
Eigen Mathematics Journal Vol 6 No 2 (2023): December
Publisher : University of Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/emj.v6i2.170

Abstract

Student study time is the time needed by students to complete their education, which starts from the time they enter college until they are declared graduated or have completed their study period. In the study period data, survival time observations were only carried out partially or not until the failure event. In other words, termination occurs until the observation deadline. This termination occurred due to several factors that allegedly influenced the student's study period. This study intends to determine what variables influence the study period of students of the Faculty of Engineering, University of Bangka Belitung through survival analysis. Using study period data for students of the Faculty of Engineering, University of Bangka Belitung, class of 2015/2016, this study used the Kaplan Meier Estimation to see the survival function of each factor causing the length of the study period graphically and the Log Rank Test statistically. Meanwhile, to look at the factors that determine the length of a student's study period, researchers used the Cox Regression and Maximum Likelihood Estimation (MLE) models to find the best model. The results of the data analysis show that there are differences in the survival function in each category for all variables graphically, while the statistical comparison of the results of the estimation of the survival function curve based on gender and organizational status is not significantly different. The results of the analysis also show that the proportional hazard assumption is fulfilled through the cumulative hazard log so that categorical variables can be used in the Cox Regression model. Based on the results of the likelihood estimation, the variables that have a significant effect on the study period of Engineering Faculty students are majors and GPA variables. Furthermore, from the interpretation of the model parameters, it is obtained that the Hazard Ratio (HR) value for the study period of Mechanical, Mining and Electrical Engineering students is faster than that of Civil Engineering students, while students with GPA ≥ 3.00 have a shorter study period than students with GPA < 3.00.
PENINGKATAN KAPASISTAS GURU DALAM MENGIMPLEMENTASIKAN SOAL SKOLASTIK UTBK KEDALAM SOAL MATA PELAJARAN DI SMA NEGERI 1 BELINYU Prayanti, Baiq Desy Aniska; Kustiawan, Elyas; Sulistiana, Ineu; Dalimunthe, Desy Yuliana; Fahria, Izma; Amelia, Ririn; Humairah, Reni; Afrizal, Aidil Adrianda
Jurnal Abdi Insani Vol 11 No 4 (2024): Jurnal Abdi Insani
Publisher : Universitas Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/abdiinsani.v11i4.2125

Abstract

Since 2019, the Computer-Based Written Test (UTBK) has been used as a system for university entrance exams. The TPS (scholastic potential test) and Literacy Test are two slightly different test forms that have been utilized in UTBK from 2023. The sole public senior high school in the Belinyu subdistrict is SMA Negeri 1 Belinyu. Less than 30% of pupils get admitted to state colleges, according to data from 2023. Therefore, the purpose of this service is to tell the teachers of SMA Negeri 1 Belinyu about UTBK and to train them in creating subject questions for the Scholastic test at UTBK. The method of activity carried out in the form of a preparatory stage in the form of observation, theme determination, and partner preparation followed by the implementation stage in the form of preparation of UTBK material and scholastic tests, exposure and evaluation. According to the service's results, 95% of participants believe that their comprehension of UTBK scholastic questions is improving, and they are hopeful that students will find it simpler to handle UTBK questions if scholastic questions are applied to the subject matter. The purpose of this service project is to help the teachers at SMA Negeri 1 Belinyu better comprehend the UTBK academic questions that incoming college students would encounter.
FORECASTING RAINFALL IN PANGKALPINANG CITY USING SEASONAL AUTOREGRESSIVE INTEGRATED MOVING AVERAGE WITH EXOGENOUS (SARIMAX) Amelia, Ririn; Kustiawan, Elyas; Sulistiana, Ineu; Dalimunthe, Desy Yuliana
BAREKENG: Jurnal Ilmu Matematika dan Terapan Vol 16 No 1 (2022): BAREKENG: Jurnal Ilmu Matematika dan Terapan
Publisher : PATTIMURA UNIVERSITY

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (689.719 KB) | DOI: 10.30598/barekengvol16iss1pp137-146

Abstract

Changes in extreme rainfall can cause disasters or losses for the wider community, so information about future rainfall is also needed. Rainfall is included in the category of time series data. One of the time series methods that can be used is Autoregressive Integrated Moving Average (ARIMA) or Seasonal ARIMA (SARIMA). However, this model only involves one variable without involving its dependence on other variables. One of the factors that can affect rainfall is wind speed which can affect the formation of convective clouds. In this study, the ARIMA model was expanded by adding eXogen variables and seasonal elements, namely the SARIMAX model (Seasonal ARIMA with eXogenous input). Based on the analysis that has been carried out, the prediction of rainfall in Pangkalpinang City, Bangka Belitung Islands Province can be modeled with the SARIMAX model (0,1,3)(0,1,1){12} for monthly rainfall and SARIMAX (0,1,2 )(0,1,3){12} for maximum daily rainfall. When compared with the actual data and previous studies using ARIMAX, the SARIMAX model is still better in the forecasting process when compared to the ARIMAX model. If viewed based on the AIC value of the SARIMA model, the SARIMAX model is also more suitable to be used to predict rainfall in Pangkalpinang City.
PROJECTION OF THE INFLATION RATE IN PANGKALPINANG CITY USING THE AUTOREGRESSIVE MOVING AVERAGE (ARMA) Dalimunthe, Desy Yuliana; Sulistiana, Ineu; Saputra, Darman; Aldila, Herman; Pririzki, Sisilia Jesika
BAREKENG: Jurnal Ilmu Matematika dan Terapan Vol 17 No 3 (2023): BAREKENG: Journal of Mathematics and Its Applications
Publisher : PATTIMURA UNIVERSITY

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30598/barekengvol17iss3pp1513-1520

Abstract

Inflation is one of the variables in the macro economy that can affect people's welfare and is defined as a complex phenomenon due to general and continuous price increases. This study aims to project the inflation rate in Pangkalpinang City, Bangka Belitung Islands Province in the period of October, November, and December of 2022. The historical inflation data used in this study is presented in a monthly period from January 2004 ends in October 2022 and January 2023 obtained from the publication of the Central Statistics Agency (BPS) of the Bangka Belitung Islands Province. The process projection is done using the Autoregressive Integrated Moving Average (ARIMA) model after passing the model fitting process first. The projection results obtained using historical inflation data show that the ARIMA model that is suitable for the projection process is the ARMA model (4,4) with the best RMSE value of 1.21 and MAE of 0.89. Through the results of this projection, it is also obtained that the percentage value of the inflation rate in Pangkalpinang City has decreased by 0.03% in the period of October 2022 and has increased in the period of November by 0.05%, then the inflation rate in Pangkalpinang City will again decline in the period of December 2022. by 0.3% and an increase of 0.33% in January 2023.
Pengaruh Keaktifan Pengurus BEM KM UBB 2023-2024 terhadap Hasil Pembelajaran Akademik Menggunakan Uji Wilcoxon Ardiyanto, Feri; Lianawati, Lianawati; Meylinda, Meylinda; Elisa, Mustika; Joanna, Yishela; Sulistiana, Ineu
Basis : Jurnal Ilmiah Matematika Vol. 4 No. 2 (2025): BASIS: Jurnal Ilmiah Matematika
Publisher : Universitas Mulawarman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30872/7mdkss70

Abstract

Penelitian ini bertujuan untuk mengetahui pengaruh keaktifan mahasiswa di dalam organisasi Badan Eksekutif Mahasiswa Keluarga Mahasiwa Universitas Bangka Belitung (BEM KM UBB) pada periode kepengurusan 2023-2024 terhadap indeks prestasi kumulatif mahasiswa. Penelitian ini dilatarbelakangi oleh perbedaan pandangan mahasiswa terhadap organisasi, dimana sebagian menganggap organisasi BEM KM UBB sebagai sarana mengembangkan diri dan sebagian menganggap kegiatan organisasi menghambat akademik. Data yang digunakan dalam penelitian ini merupakan data primer berupa data indeks prestasi kumulatif mahasiswa sebelum dan sesudah megikuti organisasi BEM KM UBB yang diperoleh melalui angket online. Uji normalitas Kolmogorov-Smirnov yang dilakukan menunjukan bahwa data tidak berdistribusi normal, sehingga diperlukan analisis lanjutan dengan metode statistik nonparametrik yaitu Uji Wilcoxon. Hasil dari analisis yang dilakukan menunjukan adanya penurunan rata-rata indeks prestasi kumulatif setelah mahasiswa mengikuti organisasi. Berdasarkan perhitungan yang dilakukan, didapatkan nilai signifikansi sebesar 0,042 (p < 0,05) yang artinya terdapat perbedaan indeks prestasi kumulatif yang signifikan ketika sebelum dan sesudah mengikuti organisasi BEM KM UBB. Sehingga dapat disimpulkan bahwa terdapat pengaruh yang signifikan antara keaktifan organisasi BEM KM UBB terhadap hasil pembelajaran atau indeks prestasi kumulatif mahasiswa, baik secara positif melalui peningkatan soft skill, hard skill, dan kompetensi kepemimpinan, maupun secara negatif seperti penurunan prestasi akademik ketika manajemen waktu yang kurang baik.
Co-Authors Adriyansyah, Adriyansyah Afrizal, Aidil Adrianda Amelia, Ririn Ardiyanto, Feri Baiq Desy Aniska Prayanti Desy Yuliana Dalimunthe, Desy Yuliana Elisa, Mustika Fahria, Izma Fitriyanti, Eka Hartati, Lasmi Herman Aldila Hidayati Hidayati Humairah, Reni Joanna, Yishela Kustiawan, Elyas Lianawati Lianawati Meylinda, Meylinda Nanang Wahyudin Pririzki, Sisilia Jesika Saputra, Darman Wati, Pitra Wenni Anggita, Wenni Zikri Rahmani