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Performance Analysis and Model Determination for Forecasting Aluminum Imports Using the Powell-Beale Algorithm Nur Arminarahmah; Syafrika Deni Rizki; Okta Andrica Putra; Anjar Wanto
IJISTECH (International Journal of Information System and Technology) Vol 5, No 5 (2022): February
Publisher : Sekolah Tinggi Ilmu Komputer (STIKOM) Tunas Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/ijistech.v5i5.186

Aluminum is one of the most important metals for the industrial world, but currently, aluminum is scarce due to a shortage of electricity, which makes manufacturers limit their production. Therefore, to overcome this scarcity, the government imports aluminum. Imports that are carried out continuously will more or less affect the wheels of the economy in this country. Therefore, it is necessary to predict the value of aluminum imports in the future so that later the demand for aluminum in Indonesia is stable and not too excessive in importing. The prediction method used is the Powell-Beale algorithm, which is one of the most commonly used artificial neural network methods for data prediction. This paper does not discuss the prediction results. Still, it discusses the ability of the Powell-Beale algorithm to make predictions based on imported Aluminum datasets obtained from the Central Statistics Agency. The research data used is aluminum import data by the leading country of origin from 2013-to 2020. A network architecture model will be formed and determined based on this data, including 3-15-1, 3-20-1, and 3-25-1. From these five models, after training and testing, the results show that the best architectural model is 3-20-1 with an MSE value of 0,03010927, the lowest among the other four models. So it can be concluded that the model can be used to predict aluminum imports.

DETEKSI DINI GANGGUAN BELAJAR PADA ANAK DENGAN METODE FORWARD CHAINING DAN CERTAINTY FACTOR Dhio Saputra; Wifra Safitri; Syafrika Deni Rizki
Jurnal Sains dan Teknologi: Jurnal Keilmuan dan Aplikasi Teknologi Industri Vol 19, No 1 (2019): JURNAL SAINS DAN TEKNOLOGI
Publisher : Sekolah Tinggi Teknologi Industri Padang

Gangguan belajar pada anak yang bermacam-macam yang mengakibatkan kesulitan dalam membaca, menulis, dan menghitung. Kebanyakan dari kalangan orang tua juga sering kali tidak mengenali jenis gangguan pada anak mereka yang seharusnya bisa diketahui dengan gejala – gejala yang dialami oleh anak. Sistem pakar ini dibangun untuk mendiagnosa jenis gangguan belajar pada anak usia 5 - 10 tahun. Dari sistem pakar ini dapat memberikan informasi mengenai jenis gangguan serta pencegahannya. Sistem pakar ini menggunakan metode inferensi Forward Chaining dan Certainty Factor. Hasil uji konsultasi dengan sistem ini menunjukkan bahwa sistem mampu menentukan jenis gangguan beserta solusi awal yang harus dilakukan, berdasarkan gejala-gejala yang sebelumnya dipilih oleh pengguna.

Performance Analysis and Model Determination for Forecasting Aluminum Imports Using the Powell-Beale Algorithm Nur Arminarahmah; Syafrika Deni Rizki; Okta Andrica Putra; Anjar Wanto
IJISTECH (International Journal of Information System and Technology) Vol 5, No 5 (2022): February
Publisher : Sekolah Tinggi Ilmu Komputer (STIKOM) Tunas Bangsa

Aluminum is one of the most important metals for the industrial world, but currently, aluminum is scarce due to a shortage of electricity, which makes manufacturers limit their production. Therefore, to overcome this scarcity, the government imports aluminum. Imports that are carried out continuously will more or less affect the wheels of the economy in this country. Therefore, it is necessary to predict the value of aluminum imports in the future so that later the demand for aluminum in Indonesia is stable and not too excessive in importing. The prediction method used is the Powell-Beale algorithm, which is one of the most commonly used artificial neural network methods for data prediction. This paper does not discuss the prediction results. Still, it discusses the ability of the Powell-Beale algorithm to make predictions based on imported Aluminum datasets obtained from the Central Statistics Agency. The research data used is aluminum import data by the leading country of origin from 2013-to 2020. A network architecture model will be formed and determined based on this data, including 3-15-1, 3-20-1, and 3-25-1. From these five models, after training and testing, the results show that the best architectural model is 3-20-1 with an MSE value of 0,03010927, the lowest among the other four models. So it can be concluded that the model can be used to predict aluminum imports.

PENGENALAN RAMBU LALU LINTAS DENGAN MENGGUNAKAN FUZZY INFERENCE SYSTEM (FIS) MAMDANI Syafrika Deni Rizki; Tri Monarita Johan
Jurnal Teknoif Teknik Informatika Institut Teknologi Padang Vol 9 No 1 (2021): JURNAL TEKNOIF ITP
Publisher : ITP Press

Rambu-rambu lalulintas merupakan bagian dariperlengkapan jalan yang memuat lambang, huruf, angka, kalimat atau gabungan diantaranya, yang berfungsi untukperingatan atau pemberitahuan bagi pemakai jalan. Banyak kecelakaan yang terjadi dijalan karenapelanggaran lalulintas, ini di karenakan banyak masyarakatyang belum mengetahui arti atau maksud dari rambu-rambu yang ada di jalan, dan masyarakat kurang pahamarti dari rambu-rambu lalulintas yang terdapat dijalan,juga di karenakan sosialisasi yang kurang terhadap masyarakat mengenai pentingnya mematuhi rambu-rambu lalulintas.Rumusan masalah dalam penelitian ini adalah bagaimana membuat suatu aplikasi tentang rambu lalu lintas untuk meminimalisir pelanggaran lalu lintas dan sebagai sarana investasi jangka panjang dengan memperkenalkan rambu lalu lintas di pendidikan usia dini. Traffic signs are part of road equipment containing symbols, letters, numbers, sentences or a combination thereof, which functions as a warning or notification for road users. Many accidents that occur on the road are due to traffic violations, this is because many people do not know the meaning or purpose of the signs on the road, and people do not understand the meaning of traffic signs on the road, also because of the lack of socialization to the public regarding the importance of obey traffic signs. The formulation of the problem in this study is how to make an application about traffic signs to minimize traffic violations and as a means of long-term investment by introducing traffic signs in early childhood education.

(Implementation of the Electre (Elimination Et Choix Traduisan La Realite) Method in a Healthy Food Menu Decision Support System for Toddlers in the Sasak Area Health Center Pasisie Using the Php And Databse Mysql Programming Language) Mardison; Syafrika Deni Rizki; Larissa Navia Rani; Agung Ramadhanu; Repelita Witri
Jurnal KomtekInfo Vol. 7 No. 1 (2020): Komtekinfo
Publisher : Universitas Putra Indonesia YPTK Padang

Healthy food menu for toddlers is selected based on criteria that have been determined by Puskesmas Sasak Ranah Pasisie. The selection of healthy food menus for toddlers is carried out by the institution as the selection of healthy foods for toddlers. The selection of toddler food menus still uses traditional methods that have not been systemized. With these problems, a decision support system is applied using the La Raelite Elimination Et Choix method. This method is able to give subjective and inuitive considerations of the criteria factors that are considered important influences on alternative choices. Decision Support System is a computer technology solution that can be used to support decision making that is complex in problem solving in an organization, in order to be able to determine the selection of the best competitive and superior healthy food menu from the many toddler food menus then the process of selecting a healthy toddler food menu that determines the optimal alternative is fast and efficient.

Penerapan Audit Sistem Informasi E-Raport pada SMAN 8 Padang menggunakan Metode Framework Cobit 4.1: Indonesia Dani Candra Wijaya; E Erdisna; Syafrika Deni Rizki
Jurnal KomtekInfo Vol. 9 No. 1 (2022): Komtekinfo
Publisher : Universitas Putra Indonesia YPTK Padang

Abstract SMAN 8 Padang has implemented an online E-Raport Information System for 4 years and there have been changes and improvements that allow errors to occur in the system. Therefore, it is necessary to conduct an audit for the development of the E-Raport Information System in the future. And one of the measuring tools in Information System Audit is COBIT (Control Objectives For Information & Related Technology). This research was conducted by measuring the object of research including the measurement of maturity level using primary IT Processes from 4 domains contained in Cobit Audit (PO9, A12, DS5, and ME2). Based on the research, the maturity level of the E-Raport Information System at SMAN 8 Padang has reached a well-managed level. Keywords : Information System Audit, E-Raport, COBIT 4.1 Framework, SMAN 8 Padang. AbstrakSMAN 8 Padang telah menerapkan Sistem Informasi E-Raport secara online selama 4 Tahun dan telah terjadi perubahan dan perbaikan yang memungkinkan terjadinya kesalahan pada sistem. Oleh karena itu perlu dilakukan audit untuk pengembangan Sistem Informasi E-Raport dimasa yang akan datang. Dan salah satu alat ukur dalam audit SI adalah COBIT (Control Objectives For Information & Related Technology). Penelitian ini dilakukan dengan cara mengukur terhadap objek penelitian meliputi pengukuran maturity level menggunakan primary IT Processes dari 4 domain yang terdapat pada Cobit Audit ( PO9, A12, DS5, dan ME2 ). Berdasarkan penelitian, tingkat kemantangan Sistem Informasi E-Raport pada SMAN 8 Padang telah mencapai tingkat terkelola dengan baik. Kata Kunci : Audit Sistem Informasi, E-Raport, Framework COBIT 4.1, SMAN 8 Padang.

Peningkatan Strategi Pemasaran Jamur di Kampung Jamur Limau Manis Syafrika Deni Rizki; Febri Hadi; Muhammad Afdhal
Jurnal Pengabdian Masyarakat Dharma Andalas Vol 1 No 1 (2022): Jurnal Pengabdian Masyarakat Dharma Andalas
Publisher : LPPM Universitas Dharma Andalas

This study aims to determine the marketing channels of mushrooms, to know the internal and external factors of the mushroom marketing business, to know the marketing strategies of mushrooms. From the results of the SWOT analysis, it is known that the internal factors (strengths and weaknesses) and external factors (opportunities and threats) of the mushroom business in sweet limes. Its strengths are: Good mushroom quality, Affordable amount of capital, Competitive pricing, Retaining customers. Weaknesses are: There is still a lack of promotional activities, Lack of a marketing system, The production process still uses simple technology. The opportunities are: The market share of oyster mushrooms is still wide, Mushrooms can be processed into derivative products, Government intervention. The threats are: There is competition between mushroom cultivators, the effect of changing seasons/weather, the marketing strategy that can be done by mushroom farmers is aggressive growth (growth oriented strategy), namely by expanding the share, and through increasing added value by processing products from these mushrooms.

Pengenalan dan Pelatihan Pemasaran Secara Digital Studi Kasus Kopi Bancah Rizki, Syafrika Deni; Afdhal, Muhammad
Jurnal PKM: Pengabdian Kepada Masyarakat Vol 7, No 2 (2024): Jurnal PkM: Pengabdian kepada Masyarakat
Publisher : Universitas Indraprasta PGRI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30998/jurnalpkm.v7i2.22044

Kelompok Tani Kopi Bancah di Kecamatan Pauh Kota Padang didirikan pada tahun 2017 dengan tujuan untuk meningkatkan penjualan kopi bancah di Kecamatan Pauh dan mengangkat perekonomian kelompok tani dan masyarakat di lingkungan Pertanian. Kegiatan pada Kelompok tani Kopi Bancah ini berupa hasil pengolahan perkebunan berupa biji kopi menjadi kopi bubuk yang sudah bisa di pasarkan. Berdasarkan itu kami memiliki keinginan untuk mengadakan pelatihan yang diikuti oleh lebih kurang 30 peserta dengan tema Pengenalan dan Pelatihan Pemasaran Secara Digital Studi Kasus Kopi Bancah. Tujuan dari pengenalan dan pelatihan ini untuk memberi pengetahuan tentang pemasaran digital untuk meningkatkan penjualan produk Kelompok Tani Kopi Bancah. Kegiatan ini menggunakan aplikasi e-commerce untuk Pelatihan pemasaran digital mengoptimalkan aset dan potensi yang ada. Manfaat atau target dari kegiatan ini peserta pelatihan dapat membuat dan mengoperasikan akun e-commerce. Sehingga, diharapkan dapat meningkatkan perekonomian bagi Kelompok Kopi Bancah di Kelurahan limau manis selatan. Kelompok tani kopi bancah juga merasa puas dan lebih termotivasi untuk meningkatkan produksi supaya produksi kopi dan perekonomian dari kelompok tani menjadi meningkat.

Sistem Informasi Geografis Pemetaan Kandang Perternakan Di Kabupaten Padang Pariaman Berbasis Android Rizki, Syafrika Deni; Van FC, Lucky Lhaura; Lisnawita, Lisnawita
Digital Zone: Jurnal Teknologi Informasi dan Komunikasi Vol. 7 No. 2 (2016): Digital Zone: Jurnal Teknologi Informasi dan Komunikasi
Publisher : Publisher: Fakultas Ilmu Komputer, Institution: Universitas Lancang Kuning

Abstrak- Perancangan aplikasi sistem informasi geografis untuk pemetaan dan pencarian Kandang Peternakan Di Kabupaten Padang Pariaman berbasis android bertujuan untuk memberikan informasi lokasi Kandang Peternakan kepada masyarakat yang ada di Kabupaten Padang Pariaman maupun masyarakat luar Kabupaten Padang Pariaman tersebut, serta memberikan informasi-informasi mengenai detail Kandang Peternakan. Sehingga diharapkan dapat di akses kapanpun dan dimana pun.Pembuatan Sistem Informasi Geografis berbasis android ini dibuat menggunakan MapInfo Professional 9.0 sebagai dasar pembuatan peta aplikasi, Eclipse sebagai dasar Aplikasi di android , dan Giscloud sebagai server penyimpanan peta secara online.Aplikasi ini diharapkan dapat dipergunakan untuk mendapatkan informasi Kandang Peternakan Di Kabupaten Padang Pariaman yang disajikan dalam bentuk sebuah aplikasi peta Dan Informasi tentang Kandang Peternakan. Aplikasi ini dapat digunakan secara online maupun offline. Kata kunci : Sistem informasi geografis , MapInfo , Eclipse, Giscloud, Android Abstract- The design of the application of geographic information system for mapping and Cages Animal Husbandry android-based In the district of Padang Pariaman to provide location information Cage Ranch to the people in the district of Padang Pariaman and communities outside Padang Pariaman district, as well as provide information about the details of the Cage Ranch. android based Geographic Information System was created using MapInfo Professional 9.0 as the basis for the map application, Eclipse as the basis of applications in the android, and Giscloud as maps online. The storage server aplication is expected to be used for get information Cage Ranch in Padang Pariaman district were presented in the form of a map application and information about the Cage Ranch. This application can be used online or offline. Keywords: geographic information system, MapInfo , Eclipse, Giscloud, Android

Development of image extraction using the centerline method in the identification of appendicitis in ultrasonography Rizki, Syafrika Deni; Yuhandri, Yuhandri; Fitri, Iskandar
Indonesian Journal of Electrical Engineering and Computer Science Vol 36, No 3: December 2024
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v36.i3.pp1750-1758

Appendicitis is a disease that refers to inflammation of the appendix caused by obstruction, or blockage, in the lumen of the appendix. We investigated that this disease can be detected early through medical imaging such as ultrasonography (USG). However, the role of ultrasound in these cases is still limited due to the low visualization rate of the visible appendix. Based on this, this research aims to develop an image extraction process using the Centerline method in the process of identifying appendicitis in ultrasound images. The development of the extraction process is presented in the performance of the centerline and boundary extraction (CBE) algorithm which can represent image objects as boundaries that limit and separate one area from other areas. The research dataset used was 2097 ultrasound images sourced from 90 patients at the West Sumatra Lung Hospital. Based on the tests that have been carried out, it has been proven that it can reduce the width of the image object iteratively until the object is represented as a center line or the thinnest representation. The performance of the CBE algorithm in the identification process is sufficient to provide accuracy results of 92%. These results can be a new extraction concept that can provide accuracy in the identification process.

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