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All Journal BAREKENG: Jurnal Ilmu Matematika dan Terapan Jambura Journal of Mathematics Jurnal Abdi Insani Euler : Jurnal Ilmiah Matematika, Sains dan Teknologi Fraction: Jurnal Teori dan Terapan Matematika Jurnal Riset Fisika Indonesia Dharma Pengabdian Perguruan Tinggi (DEPATI) Society
Desy Yuliana Dalimunthe, Desy Yuliana
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PENDAMPINGAN PEMBUATAN NOMOR INDUK BERUSAHA UNTUK PENGEMBANGAN UMKM MELALUI ONLINE SINGLE SUBMISSION (OSS) DI KELURAHAN SURYA TIMUR, KABUPATEN BANGKA Tipani, Reza; Afriyanti, Zeby Melani; Susanti, Lia; Syakila, Puput; Sihamat, Jhodi Adi; Lavania, Delvi; Dalimunthe, Desy Yuliana
Dharma Pengabdian Perguruan Tinggi (DEPATI) Vol 3 No 2 (2023): November 2023
Publisher : Fakultas Teknik, Universitas Bangka Belitung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33019/depati.v3i2.4536

Abstract

One very important aspect in the development of Micro, Small and Medium Enterprises (MSMEs) is business legality. Community service activities related to assistance in creating business legality through Business Identification Numbers (NIB) and Home Industry Food Production Certificates (SPP-IRT) are aimed at MSMEs in East Surya Village, Bangka Regency. The aim of this activity is to provide assistance to East Surya Subdistrict MSMEs regarding creating accounts and procedures for processing legalities through Online Single Submission (OSS). The method for implementing this service activity is divided into three stages, namely observation, counseling regarding NIB and SPP-IRT, and implementation of mentoring. The number of MSMEs that have been recorded by the UBB Surya Timur KKN-T team is 19 MSMEs and 5 MSMEs have successfully created NIBs and 1 SPP-IRT person. This process takes 14 days. The availability of legality for MSME actors is very important for the existence and development of MSMEs considering that the NIB is an identification mark for every business actor, both individual and non-individual businesses. By having a Business Identification Number and a Home Industry Food Production Certificate, MSMEs have valid identification in carrying out their business activities, so that they can obtain legitimacy and official recognition from the government. The various benefits obtained from the existence of NIB and SPP-IRT help MSME players in developing their products, in this case in the form of consumer and business partner confidence in the product as well as increasing the self-confidence of MSME players to be more competitive in developing business products and the type of business they run.
Peramalan Jumlah Wisatawan Kabupaten Belitung Menggunakan Simulasi Monte Carlo Marcelina, Elen; Agustin, Tria; Luthfiyaturrohmah, Khilma; Octaviani, Julia; Pramita, Agnes; Monika, Ines; Dalimunthe, Desy Yuliana; Nasrun, Aja
Euler : Jurnal Ilmiah Matematika, Sains dan Teknologi EULER: Volume 12 Issue 1 June 2024
Publisher : Universitas Negeri Gorontalo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37905/euler.v12i1.25153

Abstract

One of Indonesia's mainstay sectors in receiving foreign exchange is tourism, especially during the Covid-19 pandemic, tourism contributed \$34 billion to state revenue. The tourism sector needs to be developed to support the country's economic growth. One of the priority destinations in Indonesia that can be developed is Bangka Belitung. The purpose of this study is to forecast the number of tourists in Belitung Regency so that it can facilitate the provision of facilities that support the tourism sector as well as promotional strategies to introduce tourist attractions in Belitung Regency to the general public. This study used data on the number of tourists in 2021, 2022, and 2023 in Belitung Regency which was analyzed using the Monte Carlo method. The accuracy of forecasting results is measured based on the Mean Absolute Percentage Error (MAPE) value. The number of tourists from this forecast is in accordance with the pattern of actual tourist data in Belitung Regency.The MAPE value in forecasting the number of tourists in Belitung Regency in 2022 is 21.45\%, which means that the prediction results produced are said to be good, while in 2023 it has an accuracy rate of 7.56\%, which means that the prediction results are said to be very good.
METODE ARIMA DAN TREND MOMENT DALAM MEMPREDIKSI HARGA BERAS KUALITAS SUPER 2 DAN BAWAH 2 DI KOTA PANGKALPINANG: Arima Method And Trend Moment in Predicting Super 2 and Lower 2 Quality Rice Price in Pangkalpinang City Jaya, Yoel Setiawan; Tarius, Deli Tarius; Audieni, Febita; Pramudita, Lara; Wahyuni, Sri; Fitriyanti, Depita; Dalimunthe, Desy Yuliana
Fraction: Jurnal Teori dan Terapan Matematika Vol. 4 No. 2 (2024): Fraction: Jurnal Teori dan Terapan Matematika
Publisher : Jurusan Matematika, Fakultas Teknik, Universitas Bangka Belitung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33019/fraction.v4i2.62

Abstract

ABSTRAK Beras merupakan kebutuhan pokok bagi masyarakat luas, sehingga diperlukan pemantauan harga hasil panen yang dilakukan oleh para petani daerah. Pemantauan ini dilakukan secara langsung dan akan dilaporkan ke pemerintah pusat. Penelitian ini dilakukan untuk melihat perbandingan dua metode untuk memprediksi harga beras kualitas super 2 dan bawah 2 di kota Pangkalpinang yang mana dalam beberapa tahun terakhir ini kota ini mengalami kecenderungan harga yang meningkat. Kedua metode yang akan digunakan di penelitian ini adalah metode ARIMA dan Trend Moment. Data yang digunakan merupakan data sekunder dari Pusat Informasi Harga Pangan Strategis Nasional (PIHPS) kota Pangkalpinang dari Januari 2019 hingga Febuari 2024. Selanjutnya data akan dianalisis dengan metode ARIMA dan Trend Moment. Hasil prediksi terbaik adalah metode ARIMA, dengan nilai terendah dan tertinggi dari beras kualitas bawah 2 berturut-turut terdapat dibulan Maret sebesar Rp16.687,37 dan dibulan Agustus sebesar Rp19.049,52. Nilai terendah dan tertinggi dari beras kualitas super 2 secara berturut-turut terdapat dibulan Maret Rp17.127,97 dan dibulan Agustus sebesar Rp19.117,25. Kata kunci : Harga beras, ARIMA, Trend Moment ABSTRACT Rice is a basic need for the wider community, so it’s necessary to monitor the price of the harvest by regional farmers. This monitoring is carried out directly and will be reported to the central government. This research was conducted to see a comparison of two methods for predicting super 2 and lower 2 quality rice price in Pangkalpinang city, in recent years this city has experienced an increasing price trend. Methods that will used in this research are ARIMA and Trend Moment methods. The data used is secondary data from the National Strategic Food Price Information Center (PIHPS) Pangkalpinang city from January 2019 to February 2024. Next, the data will be analyzed using ARIMA and Trend Moment methods. The best prediction results are using ARIMA method, with the lowest and highest values ​​for below 2 quality respectively in March amounting to IDR 16,687.37 and in August amounting to IDR 19,049.52. The lowest and highest values ​​for super 2 quality respectively IDR 17,127.97 in March and IDR 19,117.25 in August. Keywords: Rice price, ARIMA, Trend Moment
Perbandingan Metode ARIMA dan SARIMA Dalam Peramalan Jumlah Penumpang Bandara Provinsi Kepulauan Bangka Belitung Febiola, Aulia; Dewi, Amelia; Fazarin, Fatia Maura; Ramadhani, Fitri; Khaffi, Muhammad Akbar; Akbar, Ridho; Dalimunthe, Desy Yuliana
Jambura Journal of Mathematics Vol 6, No 2: August 2024
Publisher : Department of Mathematics, Universitas Negeri Gorontalo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37905/jjom.v6i2.25081

Abstract

One of the transportation that is often used by people in Bangka Belitung to travel outside the area is airplanes. Judging from the data on the number of passengers at two airports in the Bangka Belitung Islands Province, the highest number of airplane passengers departing outside the region in April 2023 was 88,511 people. If there isan excessive increase in the number of passengers, it will have an impact on the quality of airport service levels and disrupt the stability of flight traffic. The purpose of this study is to compare the results of forecasting the number of passengers at the airport of Bangka Belitung Islands Province for the future period using the ARIMA and SARIMA methods. Based on the results of the analysis, the best method to forecast the number of passengers at the Bangka Belitung Islands Provincial Airport is the ARIMA method with the best model, namely ARIMA (0,1,1). In general, the results of forecasting the number of passengers at the Bangka Belitung Islands Provincial Airport from May 2024 to April 2026 will increase the number of passengers continuously until April 2026.
PEMBERDAYAAN AGEN STATISTIK DALAM MENDUKUNG UPAYA PENINGKATAN LITERASI DAN DIGITALISASI DI DESA REBO Dalimunthe, Desy Yuliana; Endraswari, Putri Mentari; Julia, Julia; Nurhamidah, Rahma; Purwasih, Ratih
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.v11i4.2077

Abstract

The village is a strategic position to support the success of community development programs. Developing and increasing literacy in rural areas faces quite a few challenges. The low level of public education, limited access to reading materials and the lack of educational facilities and infrastructure are often the main obstacles. This community partnership empowerment scheme focuses on the role and function of statistical agents in assisting in the creation of population statistics infographic designs and village potential graphic designs using the Canva application which is guided directly by the Central Statistics Agency (BPS) of the Bangka Belitung Islands Province. This aims at the process of implementing data digitization, especially population statistics data through infographic design. 10 out of 11 statistical agents who took part in training in making infographic designs and filled out pre-test and post-test questionnaires, the results showed that there were differences in understanding of the Canva application before and after the training. Before the training, 90% of participants knew about the Canva application and the rest did not know about the Canva application. After attending the training, my understanding of the Canva application increased. This is proven by 100% of participants answering correctly regarding the scope, function and benefits of Canva in creating graphic designs, posters and presentations. At the end of the service activities, assistance to the Rebo Village library in the form of grants for children's reading books, educational posters, bookcases and reading chairs was also provided to improve the reading culture as part of efforts to increase literacy in the Rebo Village community.
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.
PEMBERDAYAAN AGEN STATISTIK (ANTIK) DALAM MENINGKATKAN LITERASI DIGITAL DAN SISTEM KEUANGAN DESA DI DESA REBO, KECAMATAN SUNGAILIAT, KABUPATEN BANGKA Dalimunthe, Desy Yuliana; Amelia, Ririn; Julia, Julia; Kartika, Hanum; Sony, Muhamad Nur Bintang; Putra, Muhammad Dafi Pratama; Febiola, Aulia; Ramadhani, Fitri; Dewi, Amelia
Jurnal Abdi Insani Vol 12 No 7 (2025): Jurnal Abdi Insani
Publisher : Universitas Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/abdiinsani.v12i7.2699

Abstract

Literasi digital menjadi kebutuhan penting dalam pembangunan desa berbasis komunitas di era digital. Melalui kolaborasi antara pemerintah desa, BPS, dan agen statistik mahasiswa, Desa Rebo didorong mengembangkan literasi digital dan penyajian data statistik secara visual. Kegiatan pengabdian ini memperkuat kapasitas aparatur desa dalam mengelola teknologi dan informasi, mendukung program smart village, serta mempercepat terwujudnya desa mandiri berbasis data dan teknologi secara berkelanjutan. Pengabdian ini bertujuan untuk memberdayakan Agen Statistik (ANTIK) dalam meningkatkan literasi digital serta pemahaman terhadap sistem keuangan desa di Desa Rebo, Kecamatan Sungailiat, Kabupaten Bangka. Kegiatan dilakukan secara kolaboratif antara akademisi Universitas Bangka Belitung, BPS Provinsi Kepulauan Bangka Belitung, Agen Statistik serta perangkat Desa Rebo. Rangkaian kegiatan dimulai dengan sambutan dari Kepala Desa Rebo dan dilanjutkan dengan  pemaparan materi mengenai Sistem Keuangan Desa yang dilanjutkan dengan pelatihan penggunaan Platform Canva untuk pembuatan infografis statistik data kependudukan oleh tim dibantu oleh Agen Statistik. Evaluasi kegiatan dilakukan melalui penyebaran kuesioner kepuasan mitra menggunakan skala Likert. Hasil menunjukkan bahwa mayoritas peserta menyatakan setuju dan sangat setuju terhadap semua aspek kegiatan, dengan respons tertinggi pada kejelasan materi (67% sangat setuju). Kegiatan ini mendapat dukungan penuh dari mitra dan menghasilkan rekomendasi positif dari peserta untuk keberlanjutan program serupa di masa mendatang.
ANALISIS MODEL PROYEKSI LADA SEBAGAI KAJIAN DIVERSIFIKASI SEKTOR PENDAPATAN MASYARAKAT DI PROVINSI KEPULAUAN BANGKA BELITUNG Pririzki, Sisilia Jesika; Maryam, Ilam; Wati, Pitra; Dalimunthe, Desy Yuliana
BAREKENG: Jurnal Ilmu Matematika dan Terapan Vol 15 No 2 (2021): BAREKENG: Jurnal Ilmu Matematika dan Terapan
Publisher : PATTIMURA UNIVERSITY

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (421.837 KB) | DOI: 10.30598/barekengvol15iss2pp249-256

Abstract

Provinsi Kepulauan Bangka Belitung merupakan provinsi dengan pendapatan masyarakatnya bergantung pada sektor pertanian, yaitu lada. Penelitian ini bertujuan untuk memperoleh nilai proyeksi produksi lada di Provinsi Kepulauan Bangka Belitung pada Tahun 2022 yang selama ini menjadi komoditas utama dari sisi sektor pendapatan masyarakat dan juga merupakan bagian dari proses diversifikasi agar masyarakat setempat tidak bergantung dari satu sektor pertanian saja dalam memenuhi kebutuhan sehari-hari. Metode exponential smoothing yang digunakan dalam penelitian ini terdiri dari beberapa model, yakni simple, holt, dan brown exponential smoothing. Dari ketiga model ini akan ditentukan model peramalan yang terbaik (fitting model) dengan menggunakan hasil Root Mean Square Error (RMSE) yang terkecil dari ketiga model tersebut. Berdasarkan proses fitting model yang dilakukan, model holt merupakan model terbaik dengan nilai MSE 7.425,298 dan juga memberikan hasil bahwa komoditas lada ini mengalami penurunan sebesar 17,56% pada tahun 2021 dan juga mengalami penurunan sebesar 21,30% pada tahun 2022.
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.
Co-Authors -, Khadijah Afriyanti, Zeby Melani Afrizal, Aidil Adrianda Agustin, Tria Alviari, Irfaliani Amelia, Ririn Andini, Dwi Atin Nuryadin Audieni, Febita Baiq Desy Aniska Prayanti Devi Valeriani Dewi, Amelia Endraswari, Putri Mentari Fahria, Izma Fazarin, Fatia Maura Febiola, Aulia Fitri Ramadhani Fitriyanti, Depita Halim, Niken Halim, Nikken Hartini, Fitra Herman Aldila Humairah, Reni Ilham, Muhammad Rozan Nur Ineu Sulistiana, Ineu JANAH, NURUL Jaya, Yoel Setiawan Julia Julia Kartika, Hanum Khaffi, Muhammad Akbar Kustiawan, Elyas Lavania, Delvi Lusia, Rohil Agatha Luthfiyah, Fadillah Luthfiyaturrohmah, Khilma Marcelina, Elen Maryam, Ilam Miftahul Ulum Monika, Ines Nasrun, Aja Octaviani, Julia Oktarianty, Haslen Pramita, Agnes Pramudita, Lara Pratiwi, Desti Aulia Pririzki, Sisilia Jesika Putra, Muhammad Dafi Pratama Putri, Marwah Hotimah Nada Rahma Nurhamidah, Rahma Rahmania, Dita Ridho Akbar Robakiah, Robakiah Rozani, Muhammad Rulyanti Susi Wardhani Sakti, Adam Indra Saputra, Darman Saputra, Lianda Sihamat, Jhodi Adi Silaban, Yabes Sentosa Simarmata, Andreas Cornel Sony, Muhamad Nur Bintang Sri Wahyuni Suhendra, Helen Susanti, Lia Syakila, Puput Tarius, Deli Tarius Tipani, Reza Vebtasvili Vebtasvili Wati, Pitra