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All Journal Jurnal Sains dan Teknologi: Jurnal Keilmuan dan Aplikasi Teknologi Industri Jurnal Teknik dan Informatika Majalah Ilmiah UPI YPTK Journal of Computer Scine and Information Technology KLIK: Kajian Ilmiah Informatika dan Komputer Jurnal Abdimas ADPI Sains dan Teknologi Jurnal Ipteks Terapan : research of applied science and education Jurnal Sains Informatika Terapan (JSIT) Jurnal Komtekinfo Jurnal Teknik dan teknologi tepat guna
Dinul Akhiyar
Universitas Putra Indonesia “YPTK” Padang
Aerospace Engineering Agriculture, Biological Sciences & Forestry Arts 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 Economics, Econometrics & Finance Electrical & Electronics Engineering Energy Engineering Health Professions Immunology & microbiology Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Library & Information Science Materials Science & Nanotechnology Mathematics Medicine & Pharmacology Neuroscience Nursing Physics Public Health Social Sciences Transportation Veterinary Other

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Perancangan Sistem Informasi Produksi Dengan SCM Pada Toko Konveksi Radiyan Rahim; Dinul Akhiyar; Nori Sahrun
KLIK: Kajian Ilmiah Informatika dan Komputer Vol. 3 No. 2 (2022): Oktober 2022
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/klik.v3i1.552

Abstract

The overall goal of the elements in the supply chain is to provide finished goods to the market while increasing company profits. Supply Chain Management includes all activities, raw storage materials, work-in-process inventory and goods ready from start to finish users. Convection is a marchendaise production site related to clothing or clothing needs, or more modernly related to fashion production with a certain minimum quantity. Convection is an industry that is very concerned about the production process to get good quality and timeliness. With the existence of a technology-based production system at the convection of the Toko Konveksi will help in increasing the effectiveness of the production process of goods with good quality and on time. The development of this system is designed through several stages, starting from the stage of collecting data, analyzing and designing applications, making programs and implementing applications. The end result of this system is a web-based application that can be used by convection and customers in more efficient transactions
DEVELOPMENT OF DIGITAL MARKETING APPLICATIONS OF CREATIVE ECONOMIC PRODUCTS AND SERVICES IN PADANG CITY WITH E-CRM CONCEPT Dinul Akhiyar; Irzal Arif Wisky
Jurnal Ipteks Terapan (Research Of Applied Science And Education ) Vol. 14 No. 4 (2020): Jurnal Ipteks Terapan ( Research of Applied Science and Education )
Publisher : Lembaga Layanan Pendidikan Tinggi Wilayah X

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (365.991 KB) | DOI: 10.22216/jit.v14i4.121

Abstract

Marketing of creative economy products and services in the city of Padang is currently notintegrated into a single marketing application, it can also be seen that the use of informationtechnology has not been optimal. This research was conducted to develop digital marketingapplications based on the results of marketing analysis of creative economy products and services inthe city of Padang. This research produces knowledge about the conditions and factors thatinfluence the marketing of creative economy products and services in the city of Padang. Thendeveloped a digital marketing application with the concept of electronic customer relationshipmanagement (e-crm), so that it will make it easier for consumers to search, view, compare and maketransactions. so as to increase sales of creative economy products and services in the city ofPadang.
Implementation of a Decision Support System for Contract Employee Recruitment Selection using the Simple Multi Attribute Rating Technique (SMART) Method Muhammad Akhif; Silfia Andini; Dinul Akhiyar
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.v9i3.82

Abstract

LPMP West Sumatra is a company in the technical implementation department of the Ministry of Education and is led by leadership and is responsible to the Director General for Improving the Quality of Educators and Education Personnel (PMPTK). The selection process for hiring contract employees has difficulties because the system is still manual where all the processes from the initial stage of registration selection to the final stage of registration selection are all done manually so it takes quite a long time and is troublesome and drains a lot of energy and energy for the company management. . So there is a need for an online selection information system for contract employee recruitment at LPMP West Sumatra such as a decision support system. This Decision Support System (DSS) uses the Simple Multi Attribute Rating Technique (SMART) method. The SMART method is a decision-making method for handling multi-criteria problems based on calculating the criteria weights for each alternative. The aim of this decision support system was to be able to assist the selection process for hiring contract employees at LPMP West Sumatra quickly, precisely and accurately. The results obtained by the alternative with the name of the prospective contract employee were Ririn Novrianti with a score of 0.755. This helps West Sumatra LPMP leaders in determining prospective contract employees who meet the requirements for employment
Penerapan Aplikasi Supply Chain Management (SCM) Untuk Pendistribusian dan Stock Kerupuk Jangek “Nila” Berbasis Web Akhiyar, Dinul; Rahim, Radiyan
Jurnal Sains Informatika Terapan Vol. 1 No. 3 (2022): Jurnal Sains Informatika Terapan (Oktober, 2022)
Publisher : Riset Sinergi Indonesia (RISINDO)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62357/jsit.v1i3.127

Abstract

Supply Chain Management (SCM) is the activity stream of goods that includes planning, providing, production, storage, taransportasi, and distribution of, ranging from the initial point of raw materials (upstream) to the point of usage (downstream). The purpose of this paper is to provide knowledge on supply chain management as well as the components contained within the supply chain management, and implementation of the company is the effort karupuak jangek mintu, in helping the company's operations daily. Starting from the supply of raw materials to finished products (karupuak jangek), and activities relating to the distribution of products karupuak jangek up to the consumer. So that the necessary supply chain management to support and coordinate all of these requirements
Penerapan Sistem Pakar Dalam Diagnosa Pengguna Narkoba Menggunakan Metode Naïve Bayes Marfalino, Hari; Pratiwi, Mutiana; Arief Wisky, Irzal; Akhiyar, Dinul
Jurnal Sains Informatika Terapan Vol. 2 No. 2 (2023): Jurnal Sains Informatika Terapan (Juni, 2023)
Publisher : Riset Sinergi Indonesia (RISINDO)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62357/jsit.v2i2.159

Abstract

Perkembangan teknologi saat ini terasa sangat membantu pengguna dalam hal apapun. Tidak terkecuali membantu pihak berwajib dalam menentukan seseorang melakukan penyalahangunaan narkoba. Penyalahgunaan narkoba merupakan masalah serius yang mempengaruhi Kesehatan dan kualitas hiduo individu. Penelitian ini bertujuan untuk mengembangkan sebuah sistem pakar yang dapat membantu dalam proses diagnosa pengguna narkoba menggunakan metode Naïve Bayes. Metode Naïve Bayes adalah salah satu metode klasifikasi yang berdasarkan teorema bayes dengan asumsi bahwa semua atribut yang digunakan diklasifikasi adalah independent. Atribut yang digunakan dalam penelitian ini adalah usia, jenis kelamin, Riwayat pengguna narkoba, dan gejala. Penelitian ini menggunakan data dari individu yang telah terdiagnosis sebagai pengguna narkoba. Hasil penelitian ini adalah menghasilkan diagnosa jenis narkoba yang dikonsumsi dengan nilai akurasi. Terdapat salah satu pengguna narkoba yang terdiagnosa penyalahgunaan narkoba jenis Sabu dengan nilai akurasi 0.4468.
DECISION SUPPORT SYSTEM FOR SCHOLARSHIP RECIPIENT SELECTION USING THE SIMPLE ADDITIVE WEIGHTING (SAW) METHOD Mardhiah, Putri; Pratiwi, Mutiana; Akhiyar, Dinul; Arsyah, Ulya Ilhami
Jurnal Sains Informatika Terapan Vol. 3 No. 2 (2024): Jurnal Sains Informatika Terapan (Juni, 2024)
Publisher : Riset Sinergi Indonesia (RISINDO)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62357/jsit.v3i2.380

Abstract

The advancement of science facilitates the development of new technologies that signify the progress of society. MTsS Muhammadiyah Kurai Taji aims to incorporate information technology into its data processing activities. Currently, the school relies on manual methods for processing student data, which often results in inaccuracies, particularly in classifying underprivileged students and other categories. This manual approach has led to challenges in maintaining valid data, which in turn complicates the decision-making process for scholarship allocations. To address these issues, the author proposes the development of a web-based A decision Support System (DSS). A DSS is a computer-based information system designed to support organizational decision-making. The proposed system will utilize MySQL database management to ensure the accuracy and validity of the data. By implementing this web-based information system, the school will benefit from increased time efficiency in data retrieval and scholarship processing. Additionally, this system will streamline reporting processes and improve the identification of students eligible for scholarship assistance, thereby addressing the current challenges faced by the school.
Study Of Energy Management And Efficiency In Industrial Processes: Analysis Of Implementation And Its Impact On Productivity Akhiyar, Dinul; Nofriadiman
Jurnal Teknik dan Teknologi Tepat Guna Vol. 3 No. 2 (2024): Jurnal Teknik dan Teknologi Tepat Guna
Publisher : Riset Sinergi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62357/j-t3g.v3i2.347

Abstract

This study focuses on the implementation and analysis of energy management and efficiency in the context of industrial processes to enhance productivity. Drawing upon literature review on the fundamental concepts of energy management and best practices in industries, this research identifies strategies and methods that can be applied to optimize energy use in manufacturing environments. The research methodology involves gathering data from various sources to evaluate the practical implementation of energy management strategies in manufacturing industries, including pre- and post implementation data analysis. The findings provide deep insights into the effectiveness of specific measures in reducing energy consumption, improving operational efficiency, and their overall impact on productivity. The study also highlights challenges that may arise in implementing energy management strategies, such as initial costs, staff training needs, and technology integration. However, the long-term benefits of efficient energy management include reduced operational costs and environmental sustainability. By combining technical and managerial approaches, this research provides a foundation for better decision-making in adopting sustainable practices in the industrial sector.
The Application Of Big Data And Artificial Intelligence In Business Decision-Making Based On Infocom Technology Akhiyar, Dinul; Nofriadiman
Jurnal Sains Informatika Terapan Vol. 3 No. 3 (2024): Jurnal Sains Informatika Terapan (Oktober, 2024)
Publisher : Riset Sinergi Indonesia (RISINDO)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62357/jsit.v3i3.427

Abstract

The rapid development of Information and Communication Technology (Infocom) has led to significant advancements in business decision-making, particularly through the application of Big Data and Artificial Intelligence (AI). This paper explores how these technologies are utilized to enhance business decision-making processes, providing organizations with valuable insights and predictive capabilities. Big Data refers to the vast amount of structured and unstructured data generated from various business activities, while AI leverages algorithms and machine learning techniques to analyze this data, uncover patterns, and make informed predictions. The integration of Big Data and AI enables businesses to improve efficiency, optimize resource allocation, and gain a competitive edge in a dynamic market environment. The paper discusses various applications, including predictive analytics, customer segmentation, and supply chain optimization, highlighting their impact on strategic and operational decision-making. Moreover, it addresses the challenges associated with the implementation of these technologies, such as data quality, privacy concerns, and the need for skilled professionals. Ultimately, the study emphasizes that the synergy between Big Data and AI, when effectively implemented, can drive data-driven business strategies and foster innovation.
Risk Prediction Of Coronary Heart Disease Using A Decision Tree Algorithm Based On Patient Medical Records Akhiyar, Dinul; Nofriadiman; Rahim, Radiyan; Firdaus
Jurnal Sains Informatika Terapan Vol. 4 No. 2 (2025): Jurnal Sains Informatika Terapan (Juni, 2025)
Publisher : Riset Sinergi Indonesia (RISINDO)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62357/jsit.v4i2.568

Abstract

Coronary heart disease (CHD) remains one of the leading causes of death worldwide, often due to late diagnosis and inadequate early detection. Early risk prediction of CHD is crucial to improve patient outcomes and reduce mortality. This study aims to develop a predictive model for assessing the risk of coronary heart disease using a decision tree algorithm, based on structured patient medical records. The dataset used contains various clinical features, including age, gender, cholesterol level, blood pressure, blood sugar, ECG results, and exercise-induced angina. A decision tree classifier was selected for its interpretability, ease of implementation, and effectiveness in handling categorical and numerical data. Data preprocessing steps such as missing value handling, normalization, and feature selection were applied to improve model performance. The model was trained and validated using k-fold cross-validation to ensure reliability. Performance was evaluated based on accuracy, precision, recall, and F1-score. The results demonstrate that the decision tree algorithm achieved satisfactory performance in predicting CHD risk, making it a potentially valuable tool for supporting clinical decision-making. This study highlights the importance of integrating data mining techniques into healthcare to enable timely and accurate risk assessment of life-threatening diseases such as coronary heart disease.
Perancangan Strategi E-Commerce Berbasis Website Untuk Meningkatkan Penjualan Kerajinan Perak Di Koto Gadang Bukittinggi Aqil Ramadhan, Muhammad; Akhiyar, Dinul; Wisky, Irzal Arief
Jurnal Teknik dan Teknologi Tepat Guna Vol. 3 No. 3 (2025): Jurnal Teknik dan Teknologi Tepat Guna
Publisher : Riset Sinergi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62357/j-t3g.v3i3.547

Abstract

The rapid development of information technology has driven the need for a system that can simplify operational management in various sectors, including managing ordering and payments at Toko Perak Koto Gadang. This research aims to design and implement a web-based queue ordering and payment information system using the PHP programming language and MySQL database. This system is expected to be able to provide convenience for customers in ordering online, as well as for Toko Perak Koto Gadang managers in managing and monitoring the use of available infrastructure. This system design process includes the stages of requirements analysis, system design, implementation and testing. This system is designed with a user-friendly interface, so that it can be used by various groups easily. With this system, it is hoped that it can reduce customer waiting times, increase operational efficiency, and provide a better service experience. The test results show that the system runs well and meets user needs. Thus, this information system can be implemented effectively at Toko Perak Koto Gadang to support more structured and efficient ordering and payment management.
Co-Authors Abulwafa Muhammad Aqil Ramadhan, Muhammad Arsyah, Ulya Ilhami Buyung Septyanta, Andriyan Firdaus Hakim, Wijaya Herasmus, Hilda Hidayatullah, Genta Magribi Irzal Arief Wisky Irzal Arif Wisky Iskandar, Riki Mardhiah, Putri Marfalino, Hari Muhammad Akhif Muhammad, Abulwafa Nofriadiman Nori Sahrun Pratiwi, Mutiana Putra, Ondra Eka Radiyan Rahim Radiyan Rahim Rahim, Radiyan Rahmi, Nadya Alinda Rahmi Riki Iskandar Riki Iskandar Riki Iskandar Silfia Andini Sumijan Teri Ade Putra Vivi Nila Sari