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All Journal JIPM (Jurnal Ilmiah Pendidikan Matematika) Briliant: Jurnal Riset dan Konseptual Jurnal ELTIKOM : Jurnal Teknik Elektro, Teknologi Informasi dan Komputer JURNAL ILMIAH MATEMATIKA DAN TERAPAN BAREKENG: Jurnal Ilmu Matematika dan Terapan Unisda Journal of Mathematics and Computer Science (UJMC) Euler : Jurnal Ilmiah Matematika, Sains dan Teknologi
Sanwidi, Ardhi
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Aerospace Engineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Mathematics Mechanical Engineering Physics Transportation

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Lectora Inspire in Learning Congruence Triangles in Higher Education Sanwidi, Ardhi; Swastika, Galuh Tyasing
JIPM (Jurnal Ilmiah Pendidikan Matematika) Vol 7, No 1 (2018)
Publisher : Universitas PGRI Madiun

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (635.63 KB) | DOI: 10.25273/jipm.v7i1.3222

Abstract

The purpose of this study was to determine the use of Lectora Inspire assisted learning, analyze student activities in the learning process, and to find out the improvement of student achievement in triangular congruence material. This study uses an Action Research approach. The study uses two learning cycles. The results of this study are the use of Lectora Inspire assisted learning can increase student activity in the learning process of triangular congruence material. This can be seen from the percentage of student activity from 72.85% to 81.25%. In addition, this learning activity can improve student achievement. This can be seen from the increase in completeness percentage of student learning outcomes from 53.1% to 78.1%.
Implementasi Algoritma Apriori Untuk Market Basket Analysis Berbasis R Brian, Thomas; Sanwidi, Ardhi
Jurnal ELTIKOM : Jurnal Teknik Elektro, Teknologi Informasi dan Komputer Vol. 2 No. 1 (2018)
Publisher : P3M Politeknik Negeri Banjarmasin

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31961/eltikom.v2i1.40

Abstract

Semakin banyak transaksi penjualan maka diperlukan suatu sistem untuk menghasilkan informasi yang penting. Inovasi ini akan banyak memecahkan masalah di bidang sales marketing dan inventory, karena produk yang tidak begitu laku jika dipasangkan dengan tepat akan naik nilai penjualannya. Namun mencari asosiasi membutuhkan proses yang rumit karena masalah kombinasi produk yang besar apalagi jika bisnis ritel tersebut memiliki ribuan produk. Apriori adalah algoritma data mining untuk mencari hubungan antar item pada market basket analysis. Dengan menemukan pola transaksi penjualan maka diharapkan nilai bisnis meningkat. Pada proses yang dilakukan pada penelitian ini diimplementasikan menggunakan R dengan function apriori untuk mengolah data. Dimulai dari pembacaan dataset sampai dengan menemukan rekomendasi dari sistem yang sudah dibuat menggunakan function di R. Menentukan nilai support, confidence dan lift berpengaruh untuk menemukan itemset terbaik untuk penjualan selanjutnya. Uji coba yang sudah dilakukan dengan dataset transaksi menunjukkan hasil terbaik pada filter nilai support = 0,1 confidence = 0,8 dan lift > 1.
Peramalan Harga Minyak Goreng Pada Masa Pemulihan Pandemi Covid-19 Di Pasar Kabupaten Blitar Swastika, Galuh Tyasing; Nada, Luthfi Qathrun; Sanwidi, Ardhi
UJMC (Unisda Journal of Mathematics and Computer Science) Vol 10 No 1 (2024): Unisda Journal of Mathematics and Computer Science
Publisher : Mathematics Department, Faculty of Mathematics and Sciences Unisda Lamongan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52166/ujmc.v10i1.4121

Abstract

The impact of Covid-19 is still felt on the unstable economic sector in Indonesia, one of which is cooking oil where the price has soared. DISPERINDAG as a service that has duties, one of which is in monitoring and supervising the price of basic necessities, so knowing the prediction of the price of goods can make it easier for DISPERINDAG to carry out its duties in maintaining the stability of the price of basic necessities, especially those in the market. So the author is interested in researching the forecasting of cooking oil prices during this transition period with the single exponential smoothing method. The data used for the study is daily data on the price of cooking oil without brand in the Blitar Regency market for 426 days from August 1, 2021 - September 30, 2022 then the data can to predict the price of cooking oil in October 2022. The results of the study obtained an alpha value of 0.9 to be the smallest error value with an average MAPE of 7.41% and the predicted results of bulk cooking oil prices in the Blitar Regency market in October 2022 of Rp 12929.97/liter.
Optimasi Rute Pendistribusian Gas Elpiji Menggunakan Algoritma Floyd Warshall Dan Algoritma Greedy Ningrum, Elia Resita; Sanwidi, Ardhi; Akbarita, Rachmadania; Qomaruddin, Muhammad Nur Haqqul
JURNAL ILMIAH MATEMATIKA DAN TERAPAN Vol. 20 No. 1 (2023)
Publisher : Program Studi Matematika, Universitas Tadulako

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22487/2540766X.2023.v20.i1.15568

Abstract

Penelitian ini bertujuan untuk mencari hasil rute terpendek untuk distribusi LPG menggunakan algoritma Floyd-Warshall dan Greedy serta menemukan jalur terpendek yang lebih optimal antara kedua algoritma tersebut. Optimasi rute distribusi pada penelitian ini dilakukan dengan meminimalkan jarak yang akan ditempuh oleh kendaraan distribusi. Algoritma Floyd-Warshall dan algoritma Greedy merupakan metode optimasi dengan graf berbobot yang memiliki titik sebagai titik lokasi dan sisi sebagai jarak. Instrumen penelitian ini adalah aplikasi Google Maps yang disusun dalam tabel-tabel yang tersedia, dan laporan dari PT Petro Jaya Gas yang juga berbentuk tabel. Dalam menganalisis data menggunakan algoritma Floyd-Washall didapatkan simpul-simpul dari jalur distribusi - dengan total jarak 13,89 km, dan waktu tempuh 48 menit. Sedangkan dalam menganalisis data dengan menggunakan algoritma Greedy didapatkan simpul dari jalur distribusi adalah 10 dengan total jarak 13,13 km, dan waktu tempuh 45 menit. Berdasarkan hasil analisis dapat disimpulkan bahwa metode yang paling optimum yang dapat digunakan untuk menyelesaikan masalah rute terpendek dalam pendistribusian LPG PT Petro Jaya Gas adalah dengan menggunakan algoritma Greedy. Kata kunci : Floyd Warshall, Greedy, Optimasi rute terpendek.
PENERAPAN PROGRAM LINIER DALAM PENGOPTIMASIAN KEUNTUNGAN PRODUKSI DI HOME INDUSTRY COMOD COOKIES MENGGUNAKAN METODE KUHN-TUCKER ., Mardiyanti; Narendra, Risang; Sanwidi, Ardhi
BAREKENG: Jurnal Ilmu Matematika dan Terapan Vol 15 No 3 (2021): BAREKENG: Jurnal Ilmu Matematika dan Terapan
Publisher : PATTIMURA UNIVERSITY

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (603 KB) | DOI: 10.30598/barekengvol15iss3pp427-440

Abstract

Penelitian ini memiliki tujuan untuk optimasi keuntungan produksi kue kering di Home Industry Comod Cookies dengan membentuk program linier yang fungsi tujuannya yaitu memaksimumkan keuntungan produksi 7 jenis kue kering dan fungsi kendala berupa bahan baku produk kue kering dalam kemasan 250 gram dan jumlah produk kue kering yang dihasilkan. Data yang digunakan dalam optimasi ini yaitu data produksi kue kering di Home Industry Comod Cookies pada tahun 2019. Metode yang digunakan dalam optimasi ini, yaitu metode Kuhn-Tucker. Hasil penyelesaian optimasi keuntungan produksi kue kering dengan metode Kuhn-Tucker yaitu keuntungan yang maksimal/tertinggi sebesar Rp. 21.122.500,00 dalam produksi 7 jenis kue kering, yang meliputi Rambutan Cookies sebanyak 500 kemasan,Cheerful Chips sebanyak 900 kemasan, Laugh Nut sebanyak 250 kemasan, Snowny Cheese sebanyak 300 kemasan, Cheese Cookies sebanyak 300 kemasan, Happy Corn sebanyak 500 kemasan, dan Nastar Cookies sebanyak 500 kemasan. Berdasarkan hasil penyelesaian optimasi dapat diberikan kesimpulan bahwa keuntungan/laba produksi kue kering di Home Industry Comod Cookies sudah optimal.
Implementasi Metode Double Exponential Smoothing Brown Untuk Meramalkan Jumlah Penduduk Miskin Ngabidin, Zaenal; Sanwidi, Ardhi; Arini, Ewing Rudita
Euler : Jurnal Ilmiah Matematika, Sains dan Teknologi EULER: Volume 11 Issue 2 December 2023
Publisher : Universitas Negeri Gorontalo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37905/euler.v11i2.23054

Abstract

The poor population is a group of people who have limited economic resources sufficient to meet their basic needs. Based on the Badan Pusat Statistik Kabupaten Blitar, the Blitar Regency has seen an increase in poor people over the past three years. This is proven by the poverty presentation from 2019 to 2021, which has increased to 8.94, 9.33, and 9.65. This research predicts the number of poor people in Blitar Regency using Brown's Double Exponential Smoothing method. The results of calculating the best error values obtained from this research, MAD is 4.95, MSE is 49.47, and MAPE is 3.79. The error value calculation is obtained when the alpha error parameter = 0.7. The results of forecasting with Brown's Double Exponential Smoothing method on the number of poor people in Blitar Regency for the period 2023 to 2027 is as follows: Year 2023 amounting to 100.07259, in 2024 amounting to 96.52018, in 2025 amounting to 92.96777, in 2026 amounting89.42536, and in 2027 amounting 85.86295. Based on the results obtained, it is hoped that this forecasting can help the government determine appropriate policies to improve the welfare of the people of Blitar Regency.
Penerapan Regresi Kuantil Pada Wajib Pajak Kendaraan Bermotor Sanwidi, Ardhi
BRILIANT: Jurnal Riset dan Konseptual Vol 9 No 2 (2024): Volume 9 Nomor 2, Mei 2024
Publisher : Universitas Nahdlatul Ulama Blitar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28926/briliant.v9i2.1835

Abstract

Awareness of motor vehicle taxpayers can increase regional income; therefore, it is necessary to analyze a method to see the magnitude of the influence of taxpayer factors. Traffic accidents, the number of motorized vehicles, the number of workers, and the number of violation cases that occur are factors applied to quantile regression in this study. The research was carried out by collecting secondary data at BPS Blitar City in 2012–2021 regarding the number of traffic accidents, the number of motorized vehicles, the number of employees, and the number of cases of violations that occurred. Data processing using quantile regression is used because the data for 2012–2021 on the vehicle tax payer factor in Blitar City is normally distributed. From the research results, there are 3 factors that are positively correlated and 1 factor that is negatively correlated. From the resulting quantile regression model, it can be concluded that every decrease in the number of traffic accidents and decrease in the number of motorized vehicles will reduce the results of motor vehicle taxpayer collections. Meanwhile, increasing the number of employees and the number of traffic violations will increase the results of motor vehicle tax collections.
Penggunaan Metode Single Moving Average (SMA) Untuk Meramalkan Kasus Kecelakaan Lalu Lintas di Kota Blitar Sanwidi, Ardhi
BRILIANT: Jurnal Riset dan Konseptual Vol 10 No 1 (2025): Volume 10 Nomor 1, Februari 2025
Publisher : Universitas Nahdlatul Ulama Blitar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28926/briliant.v10i1.2117

Abstract

Traffic is a subsystem of the urban ecosystem, developing as a part of the city due to the instincts and needs of the population to move or use transport to move people and or goods from somewhere else. Blitar City is one of the cities in eastern Java with 32.58 km2 and 3 districts such as Sukorejo, Kepanjenkidul, Sananwetan. In this study we discussed a case of civil accidents under the jurisdiction of the Blitar City Police Resort. The study aims to predict and analyze the case of an accident in Blitar City in January 2024. The investigation will take place in January 2024 at the Blitar City Police Resort.The method used in this investigation is the Single Moving Average (SMA). Historical data on the number of accidents in each period is used to implement predictions using the method (SMA). The initial stage is carried out by analyzing actual data that is then applied in the method, to obtain predictive data using the parameter . The results of this study show that the SMA method can be well used to predict the number of acceptable accidents. Obtained calculations for January of 35 accidents, with MSE error values of 54,79348 and 1,543478 for MAD values. Based on the research results, it can be seen that the number of accidents in Blitar City is decreasing.
Co-Authors ., Mardiyanti Arini, Ewing Rudita Brian, Thomas Nada, Luthfi Qathrun Narendra, Risang Ngabidin, Zaenal Ningrum, Elia Resita Qomaruddin, Muhammad Nur Haqqul Rachmadania Akbarita Swastika, Galuh Tyasing