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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.

Application of the Weighted Product Method to the Decision Support System for Selection of the Best Teacher Performance Hidayatullah; Surmayanti; Syafrika Deni Rizki
Journal of Computer Scine and Information Technology Volume 9 Issue 3 (2023): JCSITech
Publisher : Universitas Putra Indonesia YPTK Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35134/jcsitech.v9i3.79

Teachers are professional educators with the main task of educating, guiding, teaching, directing, assessing, training and evaluating students in early childhood education through formal basic education and secondary education. Teacher performance evaluation is an assessment of each item of the teacher's main task activities in the context of career development, rank and position. Assessment of performance achievements is based on several criteria that will be calculated. There are various ways or steps that can be taken to carry out the calculation process when the assessment takes place, one of which is to design an information system that can present information on the results of teacher reward recipient recommendations that are fast and precise and has high precision and accuracy values, this system is Decision Support System (SPK) or Decision Support System (DSS). Therefore a Decision Support System (SPK) with the Weighted Product (WP) method is needed which will determine the best choice and according to predetermined criteria from SD Negeri 10 Batang Anai. The Product Weighted method is a settlement method using multiplication to connect attribute ratings, where the rating must be raised to the first power of the attribute weight in question. So that the process is faster and data management in the form of process results reports can be managed and stored safely and easily. The result obtained which has the highest value is alternative A04 on behalf of Tri Murni, S.Pd with a value of 0.252

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