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All Journal Riau Journal of Computer Science JURTEKSI Jurdimas (Jurnal Pengabdian Kepada Masyarakat) Royal JOURNAL OF SCIENCE AND SOCIAL RESEARCH Building of Informatics, Technology and Science Jurnal Teknik Informatika (JUTIF) Jurnal Teknologi Sistem Informasi dan Sistem Komputer TGD Jutsi: Jurnal Teknologi dan Sistem Informasi Journal of Social Responsibility Projects by Higher Education Forum Jurnal Teknisi J-Com (Journal of Computer) Jurnal Ipteks Terapan : research of applied science and education Jurnal Bangun Abdimas Digital Transformation Technology (Digitech) Jurnal Pemberdayaan Sosial dan Teknologi Masyarakat
Muhammad Amin
Sekolah Tinggi Manajemen Informatika Dan Komputer Royal
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PENGGUNAAN SENSOR WATER LEVEL DAN SIRINE ALARM UNTUK MEMBACA KETINGGIAN AIR DENGAN MENGGUNAKAN TEKNOLOGI ARDUINO NANO Muhammad Amin; Ricki Ananda
JURNAL TEKNISI Vol 3, No 2 (2023): Agustus 2023
Publisher : Smart Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54314/teknisi.v3i2.1408

Abstract

The Silau River is one of the rivers that flows in Asahan. The Silau River flows on the outskirts of the city range which can be seen below the base of the titi, so it is clear that when the rainy season falls it results in a high volume of water, so that flooding can occur and this river continues to flow to the new Silo village, where the village has been 4 times experiencing flooding in four hamlets, where hamlet 1 is the first hamlet the water rises because it is near the coast, then if the water in hamlet 2 has reached 30 to 40 cm, then it is certain that the water in hamlet 1 has reached 1 meter. Therefore floods can occur at any time which can result in material losses and so on. So that researchers are interested in making a design for using water level sensors and sirens to detect water levels, where the working system of this tool will be when hamlet 1 starts to be flooded (sensor 1 designed by the tool has been passed by flood water), then the siren will turn on with a delay time x, so that people in hamlets 2,3 and 4 must be prepared to face flooding to minimize losses caused by flooding and if sensor 2 on the device design is flooded, then it indicates that the water in hamlet one has reached 1 meter, so residents in hamlets 1, 2, 3 and 4 It is mandatory to evacuate to anticipate casualtie
FORECASTING SPOKE CAKE SALES AT ZAHRA SHOP WITH DOUBLE EXPONENTIAL SMOOTHING METHOD Siti Nurhaliza; Muhammad Amin; Tika Christy
JURTEKSI (Jurnal Teknologi dan Sistem Informasi) Vol 10, No 1 (2023): Desember 2023
Publisher : STMIK Royal

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33330/jurteksi.v10i1.2654

Abstract

Abstract: Sales of sponge cakes at Zahra's shop have difficulty meeting customer demand when the demand for sponge cakes increases drastically at certain times. This is because the sales of sponge cakes at Zahra's shop are still calculated based on their own estimates, causing excess production to be made and even a shortage of sponge cake supplies. This problem has an impact on the supply control of sponge cake production which cannot be predicted properly by Zahra's shop. The purpose of this study is to build a forecasting system using the double exponential smoothing method to predict sales of sponge cake at Zahra's shop for the next period based on the data obtained. The research method used in this study is a quantitative method. The results in the calculation of sponge cake sales forecasting using the Double Exponential Smoothing method using alpha 0.5, the number of sponge cake sales for July 2023 on Banana Cake is 430 boxes, with a forecasting error rate of 2.75%, on Chiffon Mocca Sponge cake is 330 boxes, with a forecasting error rate of 2.75%. forecasting error of 4.50%, on Pandan Cake as many as 92 Boxes, with a forecasting error rate of 7.21%, on Ordinary Roll Cake as many as 77 Boxes, with a forecasting error rate of 4.78, So the error rate on Banana Cake, Bolu Chiffon Mocca, Pandan Cake, and Ordinary Roll Cake are in the very good category because they have an error value of less than 10%. Keywords : double exponential smoothing; forecasting; spoke cake  Abstrak: Penjualan kue bolu pada toko zahra mengalami kesulitan untuk memenuhi permintaan pelanggan ketika permintaan kue bolu meningkat secara drastis diwaktu-waktu tertentu. Hal ini disebabkan karena penjualan kue bolu di toko zahra masih perhitungan berdasarkan perakiraan sendiri sehingga menyebabkan produksi yang dibuat sering kelebihan bahkan kekurangan persedian kue bolu. Masalah tersebut berdampak pada pengendalian persedian produksi kue bolu yang tidak dapat diprediksi dengan baik oleh toko zahra. .Tujuan penelitian ini adalah membangun  sistem peramalan dengan metode double exponential smoothing untuk meramalkan penjualan bolu pada Toko Zahra untuk  periode berikutnya berdasarkan data yang diperoleh. Metode penelitian yang digunakan dalam penelitian ini adalah metode kuantitatif. Hasil dalam perhitungan peramalan penjualan kue bolu dengan metode Double Exponential Smoothing menggunakan alpha 0.5 jumlah penjualan kue bolu untuk bulan Juli 2023 pada Bolu Pisang sebanyak 430 Kotak, dengan tingkat kesalahan peramalan sebesar 2,75%, Pada Bolu Chiffon Mocca sebanyak 330 Kotak, dengan tingkat kesalahan peramalan sebesar 4,50%, pada Bolu Pandan sebanyak 92 Kotak, dengan tingkat kesalahan peramalan sebesar 7,21%, pada Bolu Gulung Biasa sebanyak 77 Kotak, dengan tingkat kesalahan peramalan sebesar 4,78, Sehingga tingkat kesalahan pada Bolu Pisang, Bolu Chiffon Mocca,Bolu Pandan, dan Bolu Gulung biasa tergolong  kategori sangat baik karena memiliki nilai kesalahan kurang dari 10%. Kata Kunci : peramalan; kue bolu; pemulusan eksponensial ganda
Co-Authors Afdhal Syafnur AKMAL HUDHA TANJUNG Alfianda Alfianda Angel Bintang Masrina Arridha Zikra Syah Bintang Ramadhan Cecep Maulana Eska, Juna Fifi Safitri Hanif Muflih Hidayatullah Hidayatullah Iin Almeina Lubis Jeperson Hutahaean Muhammad Arif Muhammad Hamdan Habib Muhammad Sabir Ramadhan Nasrun Marpaung Nofriadi Nofriadi Novianti Novianti Novita Novita Nuriadi Manurung phoeja Pristiyanilicia Putri Putri Anggraini Ricki Ananda Risnawati Risnawati Rizky Fauziah Santoso Santoso Saparuddin Saparuddin Siti Nurhaliza Sri Rezki Maulina Azmi Suci Sulistia Sudarmin Sudarmin Sulistriono Sulistriono Surya Hidayat Taufiq Widyanto Tika Christy Uswatun Hasanah USWATUN HASANAH Wan Mariatul Kifti Yessica Siagian