Hasdi Putra

Universitas Andalas, Information Systems, Faculty Member

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Hasdi Putra is a Digital Transformation Researcher and Educator at Universitas Andalas. His research covers digital transformation, digital innovation, organizational control, business process management, and business intelligence, with a strong focus on developing user-friendly systems for successful implementation and adoption.

In addition to his academic role, Hasdi serves as a member of the Smart City Council, contributing to the development and implementation of smart city initiatives. He is also actively involved as a mentor for SMEs, supporting their growth and digital transformation efforts.

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Papers by Hasdi Putra

Pembangunan Sistem Informasi Pengelolaan Data Transaksi Bagian Tambang PT. Yasiga Sarana Utama Berbasis Web dengan Fitur Mobile

Jurnal Nasional Teknologi dan Sistem Informasi, 2015

Web-based management information system of transaction data with mobile features was needed by em... more Web-based management information system of transaction data with mobile features was needed by employees of PT. Yasiga Sarana Utama, especially mine division. The problems that frequently occur are some documents are created with the manual method, data storage is conducted using Microsoft Excel and duplication. Damage and loss of data have been solved with Web-based management information system of transaction data. In addition, the field employees who have activities outside of the Office get ease in storing and archiving the data using a mobile application integrated with transaction data management information systems. Management information system of transaction data was built using the waterfall method which consisted of the analysis, design, coding or implementing, and testing. In the early stages of development, the company business processes were studied through literatures, and then the company requirements were analyzed using use case diagrams, class diagrams, sequence di...

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Penerapan Data Warehouse dan Dashboard Berbasis Kimball Nine-Step untuk Meningkatkan Kualitas Informasi dan Pengambilan Keputusan

JSI : Jurnal Sistem Informasi e-journal, Jun 29, 2023

The Role of Business Process Management in Digital Innovation and Digital Transformation: A Systematic Literature Review

Procedia Computer Science, 2024

Business Process Management (BPM) is an approach that aims to improve organizational performance ... more Business Process Management (BPM) is an approach that aims to improve organizational performance and flexibility through managing business processes. Digital Innovation (DI) and Digital Transformation (DT) are phenomena that relate to the use of digital technology to create new value for organizations and customers. This article explores the role of BPM in supporting DI and DT in organizations and how to implement BPM in an organization with a Systematic Literature Review (SLR). The search results, inclusion and exclusion criteria, and relevance assessment yielded 34 relevant articles. We found that BPM, DI, and DT interact with each other in various ways and have some theoretical and practical implications for researchers and practitioners.

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Implementasi Gamifikasi Pada Blog Laboratorium Pemrograman Dan Basisdata Sebagai Pemicu Motivasi Menulis

Identification of Factors Influencing the Evacuation Walking Speed in Padang, Indonesia

Proceedings of the 2nd International Symposium on Transportation Studies in Developing Countries (ISTSDC 2019), 2020

This paper aims to identify factors influencing the walking speed of evacuees by conducting an ev... more This paper aims to identify factors influencing the walking speed of evacuees by conducting an evacuation drill in Padang, West Sumatera, Indonesia. A number of 18 volunteers and 6 observers, were gathered in an evacuation experiment on 3 routes with 5 segments each. The chosen routes are almost equal in terms of distance, but different in terms of the number of turning points. The experiment comprises of three cases in terms of the complexity of the route. These cases represent a simple, a medium and a complex route based on the number of turning points. The volunteers were asked to move, as if in an evacuation, to a particular place which was assumed to be a shelter. The observers were placed at some particular waypoints to record the time when an evacuee passes their location. The distance between the observers was measured using a manual distance meter. This study found that the average walking speed during the evacuation was 1.69 m/s. In addition, walking speed varied by age, gender, and walking distance. This finding significantly has an effect on the estimations of the coverage area of tsunami shelters. The data collection method is one of the novelties of this research. In this study, the walking speed was observed through an evacuation drill from a location to a shelter of 1.5 km away, whilst most of the previous studies estimate the walking speed based on an observation of a group of pedestrians crossing a road.

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Prediksi Kuantitas Penggunaan Obat pada Layanan Kesehatan Menggunakan Algoritma Backpropagation Neural Network

Jurnal Sistim Informasi dan Teknologi

Prediction of the amount of drug use at public health centers is needed to ensure the availabilit... more Prediction of the amount of drug use at public health centers is needed to ensure the availability of drugs for patients in service quality management. A good prediction of the amount of medicine needed helps the quality of development planning in the health sector. Scientific developments in the field of Artificial Intelligence (AI) deliver a variety of the best techniques for making predictions. By adopting the workings of neural networks (neurons) in the human brain or Artificial Neural Network (ANN), the Backpropagation Neural Network (BPNN) algorithm is one of the best algorithms in making predictions, including predicting drug use in health services. The problem of this research is how to design the best architectural model such as the number of neurons in the input layer, hidden layer and other parameters so as to produce predictions with optimal accuracy. This study aims to develop an ANN architectural design with the Backpropagation algorithm to predict the need for drug us...

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Data Mining Approach for Prediction of Rice Production Using Backpropagation Artificial Neural Network Method

The International Conference on ASEAN 2019, 2019

As an agricultural country, Indonesia is one of the major producers of rice. Up to this days, the... more As an agricultural country, Indonesia is one of the major producers of rice. Up to this days, the regional government of Indonesia conducted calculations of rice production using trend prediction methods that produce predictions with low accuracy. Therefore, an effective solution was proposed to calculate the amount of rice production needed in the planning process and government activities. This research was conducted to create a system that can predict rice production using Artificial Neural Networks (ANN) on Data Mining. The stages of the research carried out were data collection, pre-processing, prediction by methods, and testing according to the design of prediction models, namely epoch parameters, momentum, learning levels, and hidden layers to produce high accuracy.

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Implementasi Pembelajaran Berbasis Teknologi Informasi Pada Sman 1 Bukittinggi Menggunakan Schoology

Kegiatan pengabdian kepada masyarakat telah dilakukan di SMA Negeri 1 Bukittinggi Sumatera Barat.... more Kegiatan pengabdian kepada masyarakat telah dilakukan di SMA Negeri 1 Bukittinggi Sumatera Barat. Sebagai salah satu sekolah terbaik yang ada di Sumatera Barat, sekolah ini dilengkapi dengan banyak fasilitas penunjang kegiatan-kegiatan akademis maupun kegiatan non akademis. Sekolah ini juga sangat terbuka dalam perkembangan teknologi informasi dan mendukung perkembangan dunia pendidikan berbasis teknologi informasi, terlihat dari adanya program sekolah yang mengadakan pelatihan IT untuk para guru dan civitas akademik yang dilakukan secara rutin beberapa tahun terakhir. Namun karena keterbatasan pengetahuan pihak sekolah dalam bidang Teknologi Informasi membuat program pelatihan yang dilaksanakan tidak tepat sasaran. Oleh karena itu kami dari Fakultas Teknologi Informasi Universitas Andalas melakukan pendekatan dan memberikan informasi-informasi penting tentang bagaimana pemanfaatan Teknologi Informasi ini pada pihak sekolah, sehingga dapat tercetus pelatihan penggunaan Schoology ini, yang mana nantinya dapat dimanfaatkan oleh para guru dalam proses pembelajaran. Schoology merupakan sebuah Media Learning Management System yang didesain sebagai media digitan untuk meningkatkan interaksi kelas antara guru dan murid. Schoology juga memiliki Aplikasi yang dapat digunakan pada android, sehingga proses pembelajaran jadi lebih menarik dan dapat di akses di mana saja dan kapan saja. Dengan diterapkannya aplikasi ini akan dapat membantu guru dalam memberikan materi pembelajaran, latihan, kuis, ulangan harian, hingga proses penilaian.

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Evaluation of tsunami evacuation planning of the primary school student in Padang

MATEC Web of Conferences, 2019

This paper presents an evaluation of the tsunami evacuation of elementary school children in Pada... more This paper presents an evaluation of the tsunami evacuation of elementary school children in Padang. The objective of the study is to evaluate the evacuation planning using an observation data from an evacuation Experiment initiated by the Padang Regional Disaster Management Agency (BPBD Padang). In this study, the chosen evacuation destination was evaluated based on the available evacuation time, the evacuation methods, walking speed of the students in a group and the provided tools in the classroom for evacuation as in the guidelines of tsunami evacuation for schools in Hawaii.

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Penerapan Prediksi Produksi Padi Menggunakan Artificial Neural Network Algoritma Backpropagation

Jurnal Nasional Teknologi dan Sistem Informasi

Prediksi produksi padi menjadi penting dilakukan untuk menunjang pembangunan nasional sektor pert... more Prediksi produksi padi menjadi penting dilakukan untuk menunjang pembangunan nasional sektor pertanian pada suatu negara atau wilayah. Artificial Neural Network (ANN) termasuk metode yang terbaik dalam melakukan prediksi. Masalah utamanya adalah bagaimana menentukan jumlah neuron dan hidden layer yang optimal sehingga akurasi prediksinya tinggi. Artikel ini bertujuan untuk merancang arsitektu ANN unutk melakukan prediksi terhadap produksi padi menggunakan ANN dengan algortima backpropagation. Tahapan penelitian yang dilakukan adalah mengumpulkan data produksi padi, melakukan pre-processing data, memproses prediksi, dan pengujian akurasi dan error serta implementasi. Dalam memproses prediksi dilakukan sesuai dengan rancangan model prediksi, yaitu parameter epoch, momentum, learning rate, hidden layer untuk menghasilkan keakuratan yang tinggi. Temuan yang diperolah berupa rancangan optimal untuk melakukan prediksi yaitu dengan menggunakan multilayer. Hasil pengujian sistem prediksi pr...

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Big Data Analytics Algorithm, Data Type and Tools in Smart City: A Systematic Literature Review

2018 International Conference on Information Technology Systems and Innovation (ICITSI)

The smart city generated rapidly huge of data. Data can analyze with big data analytics technolog... more The smart city generated rapidly huge of data. Data can analyze with big data analytics technology to give solution from past data in smart city problem and help better solution in decision making. This paper summarizes the existing condition of big data analytics in the smart city in term of the algorithm, data type and tools were built using systematic literature review (SLR) as the standard methodology used to solve any problem by tracing the result from the previous research. The problem in SLR called as research question (RQ). To achieve that goal, we define some RQs related to that scope and clarify each question by tracing previous research. The research paper from reputable journal databases such as EEEE Xplore, Scopus, ScienceDirect, and Springerlink. After synthesizing 15 articles, the results are: algorithm data mining like ANN, Markov, graph mining, etc. needs to improve. That algorithm not enough to handle high data volume, high variety and high velocity to store and processes data; main data type have big chance to give the solution in the smart city is social media. That data has the potential to help in decision making in the smart city problem; Hadoop is the top tool to store and analyze data with highperformance, stable, reliable computing for the different type of data. Combination Hadoop with spark give less overhead to handle the high velocity and volume of data.

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Implementasi Pembelajaran Berbasis Teknologi Informasi Pada Sman 1 Bukittinggi Menggunakan Schoology

A Systematic Literature Review of Business Intelligence Technology, Contribution and Application for Higher Education

2018 International Conference on Information Technology Systems and Innovation (ICITSI), 2018

Education is one of important program that has always been the goal of the country’s strategy to ... more Education is one of important program that has always been the goal of the country’s strategy to advance the society. Technology is one of various aspect that support the education sector to improve its quality, such as business intelligence. Business intelligence is a technology that is developing today and can help in the decision-making process form large number of data or known as big data analytics. This study identifies the application of business intelligence to the education sector, especially in terms of the technology, contribution, and application using PRISMA. Technology of business intelligence application (Q1) is categorized into two, that are techniques and tools. For the first category, there are four kind of techniques. The techniques are data mining, viable system model (VSM), learning analytics, cloud computing, and behavioural analytics. For the other category, there are several tools that used to apply the business intelligence. The tools are Hadoop, Gephi, BigD...

Online Monitoring of Grid Connected Residential Photovoltaic System using Zigbee and Web Server

Indonesian Journal of Electrical Engineering and Computer Science

The paper presents grid-tied PV monitoring system using wireless sensor networks. The temperature... more The paper presents grid-tied PV monitoring system using wireless sensor networks. The temperature and humidity parameters were measured using DHT22. While ACS 712 5A current sensor and Arduino voltage sensor modules were used to measure photovoltaic output current and voltage respectively. Web application has been developed in the base station using PHP programming web server to access the sensor nodes through Zigbee wireless data communication. The user can access the HTML web interface of Photovoltaic monitoring system through local Ethernet or Wi-Fi connection. The residential 1.25 kWp grid connected photovoltaic system used to test the developed monitoring system. The data received exactly same as data sensed from remote area with average delay time 3 to 4 seconds. The result shows the photovoltaic power generation caracteristics under clear sky, cloud cover, and rainy weather conditions. The power 608.12 Wp has been generated by the solar panel from 7.00 am to 6.00 pm or 6.7 kWh per day during clear sky. During intermittent cloud covered the photovoltaic power graph have shown fluctuation power profile and energy conversion were decreased as well as in raining weather condition. The electrical power has been generated by photovoltaic for almost 12 hours per day in tropics area, but energy conversion is highly influenced by weather conditions, especially cloud cover, overcast and rainy.

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