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All Journal Jurnal Sains Matematika dan Statistika Tekinfo | Scientific Journal of Industrial and Information Engineering BAREKENG: Jurnal Ilmu Matematika dan Terapan Unisda Journal of Mathematics and Computer Science (UJMC) Jurnal TAMBORA Jurnal Abdi Insani Community Development Journal: Jurnal Pengabdian Masyarakat Jurnal Teknik Industri Terintegrasi (JUTIN) JENIUS: Jurnal Terapan Teknik Industri Jurnal Industri Pariwisata Industrika : Jurnal Ilmiah Teknik Industri International Journal of Community Service Brilliance: Research of Artificial Intelligence Jurnal Informatika Teknologi dan Sains (Jinteks) Jurnal Industri dan Teknologi Samawa (JITSA) Hexagon JASTEN (Jurnal Aplikasi Sains Teknologi Nasional
Firda Utami, Silvia
Universitas Teknologi Sumbawa
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Journal : Hexagon

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ANALISIS KELELAHAN KERJA TERHADAP FAKTOR UMUR, MASA KERJA, BEBAN KERJA DAN INDEKS MASA TUBUH PADA DOSEN REGULER FAKULTAS TEKNIK, UNIVERSITAS TEKNOLOGI SUMBAWA TAHUN 2019 Silvia Firda Utami; Indria Kusumadewi; Ryan Suarantalla
Hexagon Jurnal Teknik dan Sains Vol 1 No 1 (2020): HEXAGON - Edisi 1
Publisher : Fakultas Teknologi Lingkungan dan Mineral - Universitas Teknologi Sumbawa

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (378.553 KB) | DOI: 10.36761/hexagon.v1i1.474

Abstract

Fatigue in lecturers can have an impact on reducing work productivity and decreasing work concentration. The purpose of this study was to determine the feeling of work fatigue experienced by Regular Lecturers in the Faculty of Engineering-Sumbawa University of Technology and to determine the relationship of perception of work fatigue based on the factors causing work fatigue in the Regular Lecturers in the Faculty of Engineering-Sumbawa University of Technology. From these objectives this study looks at the relationship between the variables Dependent (Age, Working Period, Workload and Body Mass Index) with Independent variables (Work Fatigue). The method used is quantitative, namely using a statistical test that is Chi-Square with data analysis using two, namely Univariate and Bivariate. The sampling technique uses Exhausive Sampling with 39 respondents. Then the data collection of work fatigue uses the Work Fatigue Measurement Questionnaire (KAUPK2). The results of this study are 27 Regular Lecturers feel work fatigue with the category of thirsty throat. The perception of fatigue is still below 50%, so it can be concluded that there is no perception of fatigue experienced by regular lecturers in the Faculty of Engineering, Universitity Technology of Sumbawa. Then, from the four dependent factors that were tested with independent factors, the results were work period, body mass index and work load that had a relationship with work fatigue in the regular lecturer at the Faculty of Engineering, University Technology of Sumbawa.
PERAMALAN JUMLAH PENJUALAN SEPEDA MOTOR MENGGUNAKAN METODE TIME SERIES STUDI KASUS: DEALER MOTOR NUSANTARA SURYA SAKTI (NSS) SUMBAWA Silvia Firda Utami; Sis Yanti Arisma; Koko Hermanto; Eki Ruskartina
Hexagon Jurnal Teknik dan Sains Vol 1 No 2 (2020): HEXAGON - Edisi 2
Publisher : Fakultas Teknologi Lingkungan dan Mineral - Universitas Teknologi Sumbawa

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (518.659 KB) | DOI: 10.36761/hexagon.v1i2.615

Abstract

Nusantara Sakti Sumbawa (NSS) is a Honda agent company which sells motorcycles. The company encounters difficulty in determining the monthly sales target of their products. Therefore, the study aims to investigate the appropriate methodology to estimate the sales target for the next five months in NSS by involving 13 different brands of Honda. To achieve the goal, the researcher conducted several stages in forecasting methodology, including collecting the previous sales data of the company, plotting the collected data, and identifying the proper methods of forecasting to analyse the data. Based on the plotting data process, the researcher found that the Time Series methodology, consisting of Single Moving Average and Single Exponential Smoothing was the most suitable method to analyse the data. The results of the study showed that the prediction for the future sales target of the 13 different brands of Honda in the next five months in NSS was 182 units in total (Beat Sporty CW: 35 units, Beat street: 19 units, Vario 110: 14 units, Vario 125: 17 units, Vario 150: 15 units, Scoopy: 38 units, Revo: 1 unit, Blade: 1 unit, Supra X 125: 12 units, Supra GTR 150: 9 units, Sonic: 16 units, and CBR150R: 5 units). The study also revealed that the Single moving average was a proper method to predict the future sales target for the three brands of Honda, namely Vario 110, Revo, and Blade. While the other 10 brands, including Beat Sporty CW, Beat street, Vario 125, Vario 150, Scoopy, Supra X 125, GTR 150, Sonic, and CBR150R were appropriately predicted using the Single Exponential Smoothing method.
Co-Authors Adiasah, Iksan Ainul Nizha Fitri Altarisi, Salman Andani, Rina Meri Andika, Ahyar Eki Ruskartina Fadhli Dzril Ikram Fazriansyah Harizahayu, Harizahayu Haryadin, Muhammad Nur Hermanto, Koko Hudaningsih, Nurul Iksan Adiasa Imam Munandar Indria Kusumadewi Ismi Mashabai Ismunandar M. Faisal Mietra Anggara mira sugala Muhamad Faiz Almatsir Muhammad Firdaus Nurul Huda Rapni Yepeikene Ryan Suarantalla Sakina, Cici Putri Salman Altarisi Satriyo, Qiranda Surma Septiana, Widya Sis Yanti Arisma Sri Ayu Suarantalla, Ryan Tsani, Farhan Turrahmi, Ulfa Ulfaturrahmi, Ulfaturrahmi Utami, Rani Nur Wari Ammar Abdul Jabbar