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INDONESIA
Jurnal Matematika Sains dan Teknologi
Published by Universitas Terbuka
ISSN : 14111934     EISSN : 24429147     DOI : -
Core Subject : Education, Agriculture,
Agriculture, Biological Sciences & Forestry Mathematics Other
Merupakan media informasi dan komunikasi para praktisi, peneliti, dan akademisi yang berkecimpung dan menaruh minat serta perhatian pada pengembangan Matematika, ilmu pengetahuan dan teknologi. Diterbitkan oleh Lembaga Penelitian dan Pengabdian kepada Masyarakat, Universitas Terbuka.
Arjuna Subject : -
Articles 5 Documents
 1 
Search results for , issue "Vol. 22 No. 2 (2021)" : 5 Documents clear
ANALISIS FAKTOR-FAKTOR YANG MEMPENGARUHI PENYERAPAN TENAGA KERJA PADA SEKTOR PERHOTELAN DI PROVINSI MALUKU DENGAN MENGGUNAKAN METODE REGRESI DATA PANEL Muhammad Yahya Matdoan; Mozart W Talakua
Jurnal Matematika Sains dan Teknologi Vol. 22 No. 2 (2021)
Publisher : LPPM Universitas Terbuka

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33830/jmst.v22i2.1572.2021

Abstract

The hotel sector is one of the sectors that has made a major contribution to employment and economic development in Maluku Province. The more the population, the more difficult it is to find work. The purpose of this study is to analyze the effect of the variable number of accommodation, number of occupancy, number of available beds and minimum wage of employees on labor absorption in the hotel sector in Maluku Province. One method that can be used to solve this problem is the Panel Data Regression method. Panel data regression is a combination of time series data and cross section data. This method can be used to determine the relationship between two or more variables that are quantitative in nature, so that one variable can be predicted from the other variables. The Panel Data Regression model used in this study is the Fixed Effect Model (FEM) with the results obtained, namely that there are three variables that affect labor absorption in the hotel sector in Maluku Province, namely the number of accommodation, the number of occupancy and the minimum wage of employees. Meanwhile, the number of available beds has no effect on labor absorption in the hotel sector in Maluku Province.
BILANGAN KHROMATIK PEWARNAAN GRAF DALAM MENGOPTIMALKAN TEMPAT PENYIMPANAN BAHAN KIMIA Eka Aprilia Suci Ananda; Yuni Listiana; Viktor Sagala
Jurnal Matematika Sains dan Teknologi Vol. 22 No. 2 (2021)
Publisher : LPPM Universitas Terbuka

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33830/jmst.v22i2.2016.2021

Abstract

Vertex coloring is a method giving colors to vertex in a graph, so that each neighborhood vertex has a different color. Chromatic numbers are the minimum number of colors that can be used to color the vertices on a graph G. The aim of this research is to optimize the storage of chemicals safely by applying the application of chromatic number of graph coloring and to determine whether the chemical storage in the laboratory is optimal or not. This study is using a qualitative observation research design. We use a graph coloring method to obtain optimal results. And we get data by observation, interview and documentation. The instrument that we used to collect data consist of chemical data form. The data analysis activity starts from collecting the lists names of chemicals until draw conclusions.The results of this study, using the Welch-Powell Algorithm we get the chromatic number is 4. So that by applying the chromatic number of graph coloring, we just need place chemical in the laboratory as many as 4 cabinets, so that the storage area more optimal laboratory compared to the previous storage area of ​​6 cabinets.
PERAMALAN PERGERAKAN INFLASI DI JAWA TIMUR DENGAN MENGGUNAKAN METODE TRIPLE EXPONENTIAL SMOOTHING Alvin Nuralif Ramadanti; Elok Indana Zulfa; Noviati Maharani Sunariadi; Dian C. Rini Novitasari
Jurnal Matematika Sains dan Teknologi Vol. 22 No. 2 (2021)
Publisher : LPPM Universitas Terbuka

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33830/jmst.v22i2.1346.2021

Abstract

The economic growth of a nation is strongly influenced by inflation. Inflation is the continuous soaring price of goods or services. This study aims to predict the movement of inflation that will occur in East Java from January 2021 to December 2021. This study uses 48 data from the East Java Province inflation rate data from January 2017 to December 2020 sourced from the official website of BPS East Java. Predictions using the triple exponential smoothing method with forecasting evaluation using MAPE. Based on the analysis results, the parameters used are ⍺ = 0,01, β = 0,09 dan γ = 0,30 which produces a MAPE value of 1.619%, which is classified as very good. The results show that the inflation forecasting from January 2021 to December 2021 is estimated at -0.13 to 0.48, with an average of 0.087. Thus, the movement of inflation in East Java from January 2021 to December 2021 is classified as low inflation, so it shows that prices and services are still stable.
MODEL MATEMATIKA UNTUK MENENTUKAN NAMA HARI PADA SIKLUS TUJUH, LIMA DAN TIGAPULUH LIMA HARI PADA KALENDER GREGORIAN DI INDONESIA Agung Prabowo; Sukono; Mustafa Mamat
Jurnal Matematika Sains dan Teknologi Vol. 22 No. 2 (2021)
Publisher : LPPM Universitas Terbuka

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33830/jmst.v22i2.1519.2021

Abstract

In the Javanese calendar (Anno Javanica) there are two types of day names, namely saptawara and pancawara. Pancawara is a five-day cycle (Legi, Paing, Pon, Wage and Kliwon). Saptawara is a seven day cycle, like the weekly cycle on the Gregorian Calendar (Monday, Tuesday, Wednesday, Thursday, Friday, Saturday and Sunday). The Gregorian calendar does not recognize the pancawara cycle. However, the use of the Gregorian Calendar in Indonesia combines a seven-day cycle with a five-day cycle so that there are names for Monday-Legi, Tuesday-Paing and so on. The result is a 35-day combination called selapanan. With the literature review method, a mathematical model will be built to determine the names of saptawara, pancawara and selapanan days for certain dates on the Gregorian calendar. Furthermore, these mathematical models will be called the saptawara model (four models), the pancawara and the selapanan model (two models respectively).
ANALISIS KARAKTERISTIK DAN TINGKAT PERKEMBANGAN BADAN USAHA MILIK DESA (BUMDES) DI KABUPATEN PANDEGLANG, BANTEN Ulul Hidayah
Jurnal Matematika Sains dan Teknologi Vol. 22 No. 2 (2021)
Publisher : LPPM Universitas Terbuka

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33830/jmst.v22i2.2740.2021

Abstract

Diperlukan optimalisasi potensi kawasan perdesaan di Kabupaten Pandeglang untuk meningkatkan pembangunan dan mengurangi tingkat kemiskinan penduduk. Pengembangan potensi lokal diperlukan untuk mendorong pertumbuhan ekonomi di kawsaan perdesaan. Salah upaya yang dapat dilakukan adalah melalui pendirian dan pengelolaan BUMDes. Penelitian ini bertujuan untuk mengidentifikasi karakteristik dan tingkat perkembangan BUMDes di Kabupaten Pandeglang. Metode analisis yang digunakan dalam penelitian ini adalah analisis deskriptif kualitatif dan indeks komposit. Analisis deskriptif kualitatif digunakan untuk memberikan gambaran karakteristik BUMDes di Kabupaten Pandeglang. Sedangkan untuk mengidentifikasi tingkat perkembangan BUMDes dilakukan dengan analisis indeks komposit. Penelitian ini menggunakan data sekunder yang diperoleh dari Dinas Pembangunan Masyarakat dan Desa Kabupaten Pandeglang. Hasil penelitian ini menyimpulkan bahwa karakteristik BUMDes di Kabupaten Pandeglang beragam dilihat dari kontribusi terhadap PADes, modal, omzet, profit, jumlah karyawan, usia, serta jumlah dan jenis unit usaha. Sebagain besar tingkat perkembangan BUMDes termasuk dalam kategori rendah dan sedang. Dan sekitar 57 BUMDes termasuk dalam kategori tinggi dengan karakteristik berikut telah berdiri lebih dari 5 tahun, memiliki jumlah karyawan rata-rata 9 orang, memiliki lebih dari 2 unit usaha dan memiliki rata-rata profil lebih dari 5 juta per tahun.

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