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All Journal PROSIDING SEMINAR NASIONAL JURNAL EKSAKTA PENDIDIKAN (JEP) JURNAL PENDIDIKAN TAMBUSAI Eksakta : Berkala Ilmiah Bidang MIPA Jurnal Teknologi Pertanian Andalas Imajiner: Jurnal Matematika dan Pendidikan Matematika Pelita Eksakta Suluah Bendang: Jurnal Ilmiah Pengabdian Kepada Masyarakat Leibniz: Jurnal Matematika Journal of Mathematics UNP Aceh International Journal of Science and Technology UNP Journal of Statistics and Data Science Journal of Tourism Sciences, Technology and Industry Sultra Journal of Mechanical Engineering

Syafriandi Syafriandi

Unknown Affiliation

Author-ID : 398592

Aerospace Engineering Agriculture, Biological Sciences & Forestry Arts Humanities Astronomy Automotive Engineering Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Education Energy Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Materials Science & Nanotechnology Mathematics Mechanical Engineering Physics Social Sciences Other

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Upaya Peningkatan Kemampuan Analisis Data Penelitian Menggunakan Software Statistik Bagi Guru-Guru Matematika SMA Kabupaten Pesisir Selatan Syafriandi, Syafriandi; Amalita, Nonong; Kurniawati, Yenni
JURNAL EKSAKTA PENDIDIKAN (JEP) Vol 2 No 1 (2018): JEP : Jurnal Eksakta Pendidikan
Publisher : Fakultas Matematika dan Ilmu Pengetahuan Alam

Scientific publication is one of teacherâs duty to increase their rank, form III/b to III/c. Base on interview with Senior High School teachers at Pesisir Selatan regency, we know that difficult for them to produce scientific publication caused by their ability on choosing data analysis technique which relevant to their case, teachers cannot use the statistical software because its not familiar for them, and they have low quality in interpreting data analysis result. To solve the problems, we offer a workshop of data analysis on scientific writing using statistical software. The target audiences of this workshop is a Group of Teachers on Mathematics Major (MGMP) in Pesisir Selatan. In this workshop, participants are given the basic concept and how to write a scientific writing, basic concept of statistics, and introduction to statistical software i.e. Minitab and SPSS. Beside that, with practical work, the participants learn how to use statistical software and interpretate the data analysis result. Result of the workshops are (1) increasing the ability of participants skills on analysis the data using statistical software and interpretate it.

ANALISIS KEPUASAN NASABAH TERHADAP KUALITAS PELAYANAN PT. BANK RAKYAT INDONESIA (PERSERO) TBK UNIT SEMURUP DENGAN PENDEKATAN ANALISIS KORESPONDENSI Prettya Recha; Syafriandi Syafriandi
PROSIDING SEMINAR NASIONAL & INTERNASIONAL 2017: Prosiding Seminar Nasional Pendidikan, Sains dan Teknologi
Publisher : Universitas Muhammadiyah Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (390.52 KB)

Bank Rakyat Indonesia (BRI) is the oldest bank in Indonesia. BRI's vision is to become a leading commercial bank that always prioritizes customer satisfaction. For the sake of the realization of this vision, BRI's party must maximally provide services to customers. The problem in this research is there is a service quality gap given by BRI Semurup Unit. The purpose of this study is to know the characteristics of customers of BRI unit semrup and the trend of customer satisfaction on service quality of BRI Unit Semurup . This research is adescriptive research. The type of data used in this study is the primary data. The sample in this research is BRI unit Semurup customer who is aged over 17 years old, owns ATM and has used the service of BRI Unit Semurup at least 3 times. Methods of data collection with questionnaire distribution. Data analysis technique used is correspondence analysis. The results of this study show that customers tend to be very satisfied with the honest attitude of the officers of BRI Units in serving customers and on the indicators of the neatness of the appearance of the Officer BRI Unit Semurup when serving the customers and on the cleanliness and comfort indicator and the room of BRI Unit Semurup . customers tend to bedissatisfied with the awareness of BRI unit Semurup officers' awareness of customer complaints, and information indicator indicators specifically by BRI unit Semurup officers regarding BRI's products and services that are responsive to the responsiveness dimensions of the officers in handling customer complaints. On the dimension of reliability is the indicator of the speed of BRI officer units in serving customers. On the dimensions of physical evidence is on the seating availability indicators for customers who wait for the queue number and on the indicator of ATM network of BRI Unit Semurup. Keyword :quality service BRI unit Semurup, satisfaction customer, correspondence analysis.

PENERAPAN IMPORTANCE PERFORMANCE ANALYSIS DALAM MENILAI KEPUASAAN STAKEHOLDER TERHADAP KINERJA PKL MAHASISWA D3 STATISTIKA Yenni Kurniawati; Nonong Amalita; Syafriandi Syafriandi
EKSAKTA: Berkala Ilmiah Bidang MIPA Vol. 18 No. 01 (2017): Eksakta : Berkala Ilmiah Bidang MIPA (E-ISSN : 2549-7464)
Publisher : Faculty of Mathematics and Natural Sciences (FMIPA), Universitas Negeri Padang, Indonesia

ANALISIS BEBAN KERJA PADA PROSES PENGEPRASAN TANAMAN TEBU (SACCHARUM OFFICINARUM L.) LAHAN KERING DENGAN MENGGUNAKAN TRAKTOR TANGAN Andriani Lubis; Syafriandi Syafriandi; Tinton Tonika
Jurnal Teknologi Pertanian Andalas Vol 19, No 2 (2015)
Publisher : Universitas Andalas

Indonesia started to apply and develop agricultural mechanization to increase agricultural productivity. However, the development of agricultural mechanization is not always get success, we still can found fatigue in operation of tool of agricultural mechanization , which if this still happen would able to make a decline of productivity. This research aims to find out of workload that produced by operator in stubble shaving process by using hand tractor with two different hand tractor engine rotation speeds, it is 1600 RPM and 1800 RPM. This research is located in sugarcane plantation at Kebun Tanjung Jatti, Binjai, Sumatera Utara.Key words: Ergonomic, Stubble Shaving, Sugarcane,Workload

Faktor-Faktor yang Mencirikan Kondisi Financial Distress Pasca Kenaikan BBM Perusahaan Manufaktur di BEI Menggunakan Analisis Biplot Venny Oktarinda; Syafriandi Syafriandi; Nonong Amalita
Journal of Mathematics UNP Vol 2, No 1 (2014): Journal Of Mathematics UNP
Publisher : UNIVERSITAS NEGERI PADANG

Abstract Financial distress is situation where financial condition company in crisis. Prices increasis BBM is one of the external factors cause occurrence of financial distress. So that company can overcome problem of financial distress, it’s necessary know factors that characterize financial condition by financial ratios of manufacturing companies on Indonesian Stock Exchange before and after increase prices BBM using biplot analysis. Biplot results indicate that factors characterize company condition good company prior to the rise in fuel prices is value of CR, DER, and ROE above average and value TATO is below average. After the occurrence of condition of fuel price hike company declined to cash flow problems and deterioration. Company's cash flow problems on condition characterized by value of CR above average and of DER, TATO, and ROE is below average. Company on condition characterized by deterioration DER values were above average, value CR, TATO, and ROE is below average. Keywords financial distress, financial ratios, biplot analysis

Survey Training for Collecting Data of Nagari Tanjung Balik Dina Fitria; Nonong Amalita; Syafriandi Syafriandi; Zilrahmi Zilrahmi; Admi Salma; Dodi Vionanda; Yenni Kurniawati
Pelita Eksakta Vol 6 No 1 (2023): Pelita Eksakta Vol. 6 No. 1
Publisher : Fakultas MIPA Universitas Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/pelitaeksakta/vol6-iss1/202

Collecting data is the initial stage of data processing. Such that, it is needed to make sure the data collected is representative. Surveyor is one of its principal components. But, Nagari as a small component of a residence lack of professional surveyor for the work of the survey. The Statistics Department as a producer of statistician gives training to local residents to collect their own data using the right method in Nagari Tanjung Balik

Vector Error Correction Model for Cointegration Analysis of Factors Affecting Indonesia's Economic Growth during the Pandemic Period Rizqa Fajriaty Fitri MY; Dina Fitria; Syafriandi Syafriandi; Zilrahmi
UNP Journal of Statistics and Data Science Vol. 1 No. 3 (2023): UNP Journal of Statistics and Data Science
Publisher : Departemen Statistika Universitas Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/ujsds/vol1-iss3/40

Stabel economic growth is the ultimate goal of monetary policy s seen from the stability of the rupiah. The economic situation has decreased due to the spread of Covid-19. In an effort to stabilize the economy, the relationship between factors supporting Indonesia's economic growth is analyzed using the VECM approach. This approach is able to determine the long-term and short-term relationships of time series data. The model results after fulfilling several tests are three significant equations. The model explains that there is an effect in the short term of the inflation and BI Rate variables on inflation as well as the inverse effect between BI-rate one period earlier on the exchange rate. The cointegration coefficient is negative, it indicates that there is a short-term to long-term adjustment mechanism that occurs in the inflation variable. The two cointegration equations for the long term show that for the long term, inflation can be positively influenced by the visa variable. Variable BI-rate in the long run is influenced by the variable exchange rate and visa. The VECM model can explain more than 50% of the variables.

Classification for Covid-19 Affected Family Cash Aid Recipients Using Naïve Bayes Algorithm Mutiara Amazona Sosiawati; Syafriandi Syafriandi; Dony Permana; Zilrahmi
UNP Journal of Statistics and Data Science Vol. 1 No. 3 (2023): UNP Journal of Statistics and Data Science
Publisher : Departemen Statistika Universitas Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/ujsds/vol1-iss3/53

The COVID-19 pandemic that occurred in Indonesia had a huge impact on the country's economy. One of the solutions set by the government in dealing with COVID-19 is to use APBD funds for social assistance in the form of cash, namely "Village Direct Cash Assistance" (BLT DD). With the hope that the people affected by COVID-19 can be helped by this assistance. There are several problems in the distribution of social assistance, one of which is recipients who are not on target. Therefore, it is necessary to use methods to correctly classify recipients. This study uses the Naïve Bayes method to classify people who receive and do not receive aid. From the results obtained on the confussion matrix, the people who received BLT DD assistance and were predicted to receive were as many as 33 people/KK, the people who did not receive BLT DD and were predicted not to receive as many as 34 people/KK, the people who received BLT DD and were predicted not to receive as many as 2 people/KK , and people who do not receive BLT DD and are predicted to receive as many as 6 people/families. As for the classification accuracy value obtained using the Naïve Bayes method is 89%, while the error rate obtained is 11%.

Grouping The Regencies/Cities in Indonesia Based on Expenditure Groups Inflation Value Using DBSCAN Method Meliani Putri; Dony Permana; Syafriandi Syafriandi; Zilrahmi
UNP Journal of Statistics and Data Science Vol. 1 No. 3 (2023): UNP Journal of Statistics and Data Science
Publisher : Departemen Statistika Universitas Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/ujsds/vol1-iss3/61

The different characteristics of each regencies/cities in Indonesia can trigger differences in expenditure groups inflation value, the differences that occur will affect Indonesia’s national inflation. The purpose of this research is to create groups of regencies/cities based on expenditure groups inflation value and to identify the characteristics of the resulting groups. DBSCAN is a density-based non-hierarchical cluster method that can be used in data conditions that contain noise. The data used in this study is secondary data obtained from the publication of the Badan Pusat Statistik Republic of Indonesia (BPS RI) regarding expenditure groups inflation value. The analysis includes outlier detection, grouping using the DBSCAN method, performing cluster validation with silhouette coefficient, and identifying the characteristics of the clusters formed. Based on the grouping that has been done, two clusters are produced with a silhouette coefficient value of 0.65. The resulting cluster is cluster 0 in the form of a noise cluster consisting of 3 regencies/cities with regencies/cities that have a high category expenditure groups inflation value. Cluster 1 consisting of 87 regencies/cities is a cluster with regencies/cities that have a low category expenditure groups inflation value.

Geographically Weighted Panel Regression Modeling on Human Development Index in West Sumatra Amelia Fadila Rahman; Syafriandi Syafriandi; Nonong Amalita; Zilrahmi
UNP Journal of Statistics and Data Science Vol. 1 No. 3 (2023): UNP Journal of Statistics and Data Science
Publisher : Departemen Statistika Universitas Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/ujsds/vol1-iss3/63

The Human Development Index (HDI) is an important issue that has a negative impact on the field of human development and people's welfare in West Sumatra Province. The HDI is being attempted to be solved by identifying the contributing components. Geographically Weighted Panel Regression (GWPR) is a technique that can be used to find influencing factors and explain the influence of characteristic areas of observation. GWPR is a combination of panel data regression method with GWR which is used when the data has the influence of spatial heterogeneity. The purpose of this study is to form a GWPR model that will be applied to the HDI in Regencies/Cities in West Sumatera from 2019 to 2022. Modeling using GWPR Fixed Effect Model. With a minimum CV of 0,000208, the wighter function utilized is a fixed exponential kernel. The findings demonstrated that the model obtained had an of 99.9%, meaning the predictor variable could account for the model by this percentage. Variables that have a significant on HDI are Life Expectancy, Expected Years of Schooling, Mean Years of Schooling, and Purchasing Power Parity.

Co-Authors Admi Salma Aldi Prajela Amelia Fadila Rahman Andriani Lubis Anita Fadila Cindy Caterine Yolanda Denia Putri Fajrina Dewi Adiningtiyas, Rheizma Dhafir, Muhammad Dina Fitria Dina Fitria Dina Fitria, Dina Dodi Vionanda Dony Permana Edi Kurniawan Eujeniatul Jannah Eujenniatul Jannah Fadhilah Fitri Fadhira Vitasya Putri Fitri, Fadhilah Fitria Panca Ramadhani Gezi Fajri Habibah, Sarah Husni, Nabila Indah Lestari JA, Sudarma kartika, anice Khathir*, Rita Lifia Zullani Lince Magriasti Martia Rosada Meliani Putri Meria Eliza Muhammad Idkham Mukhti, Tessy Octavia Mutiara Amazona Sosiawati Nikma Hasanah Nonong Amalita Nur Fadillah, Nur Nur Leli Permana, Dony Prettya Recha Putri, Eno Dwi Rachman, Fadlul rios Rizqa Fajriaty Fitri MY Safrizal Safrizal Salma, Admi Siti Nurhaliza Suliswati, Yeni Syifa Nabilah Wandira Tessy Octavia Mukhti Tinton Tonika Velya Rahma Putri Venny Oktarinda Winda Fariza, Winda Fariza Wita, Wita Resfi Ananta Wulan Septya Zulmawati Yarman Yarman, Yarman Yenni Kurniawati Yonggi, Yonggi Septa Pramadia Yulhendri Yulhendri Yunita Yunita Yurivo Rianda Saputra Zamahsary Martha Zilrahmi, Zilrahmi Zulkhairi Sofyan

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