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All Journal JITK (Jurnal Ilmu Pengetahuan dan Komputer) International Journal of Quantitative Research and Modeling Formosa Journal of Applied Sciences (FJAS) Jurnal Pengabdian Masyarakat Tapis Berseri SisInfo : Jurnal Sistem Informasi dan Informatika Jurnal Accounting Information System (AIMS) INTERNAL (Information System Journal)
R. Yadi Rakhman Alamsyah
Department Of Informatic, Faculty Of Technology And Informatic, Universitas Informatika Dan Bisnis Indonesia, Bandung, Indonesia.
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Engineering Environmental Science Physics Social Sciences Other

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Data Cleansing Strategies on Data Sets Become Data Science Sardjono Sardjono; R. Yadi Rakhman Alamsyah; Marwondo Marwondo; Elia Setiana
International Journal of Quantitative Research and Modeling Vol 1, No 3 (2020)
Publisher : Research Collaboration Community (RCC)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (688.219 KB) | DOI: 10.46336/ijqrm.v1i3.71

Abstract

The digital era very grows up with the increasing using of smartphone and many organization or companies was implemented of a system to support their business. That is who will increase the volume of usage and dissemination of data, neither through open nor closed internet networks. Because there is the need to process large data and how to get it from different store resource, so requirement strategy to process the data according to the rule of good, effective and efficient in activity data cleansing until the data set can be use as mature and very useful information for their business purpose. By using the R languaged who can process large data and has data complexity for the data loaded from different storage resource can be done as well as. To using R languaged maximally, so we have to a basic skill that needed to process the data set which will be used to be data scient for organizations or companies by good data cleansing techniques. In this research on Data Cleansing Strategies on data set owned by organizations,will describe the correct step by step to obtaining data that very useful to be uses as data science for organization so by the data that generated after the data cleansing process is very meaningful and useful for making decisions, other than that this research give basic overview and guide to the beginner all data scientists by doing data cleansing in the way stages and also provides a way to analyze from the result of execution some functions used.
Data Mining Implementation Using Naïve Bayes Algorithm and Decision Tree J48 In Determining Concentration Selection Budiman Budiman; Reni Nursyanti; R Yadi Rakhman Alamsyah; Imannudin Akbar
International Journal of Quantitative Research and Modeling Vol 1, No 3 (2020)
Publisher : Research Collaboration Community (RCC)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (463.447 KB) | DOI: 10.46336/ijqrm.v1i3.72

Abstract

Computerization of society has substantially improved the ability to generate and collect data from a variety of sources. A large amount of data has flooded almost every aspect of people's lives. AMIK HASS Bandung has an Informatic Management Study Program consisting of three areas of concentration that can be selected by students in the fourth semester including Computerized Accounting, Computer Administration, and Multimedia. The determination of concentration selection should be precise based on past data, so the academic section must have a pattern or rule to predict concentration selection. In this work, the data mining techniques were using Naive Bayes and Decision Tree J48 using WEKA tools. The data set used in this study was 111 with a split test percentage mode of 75% used as training data as the model formation and 25% as test data to be tested against both models that had been established. The highest accuracy result obtained on Naive Bayes which is obtaining a 71.4% score consisting of 20 instances that were properly clarified from 28 training data. While Decision Tree J48 has a lower accuracy of 64.3% consisting of 18 instances that are properly clarified from 28 training data. In Decision Tree J48 there are 4 patterns or rules formed to determine concentration selection so that the academic section can assist students in determining concentration selection.
Implementasi dan Sosialisasi Aplikasi Pengolahan Data Kesejahteraan Keluarga pada Program Dasa Wisma Pkk Pendataan Keluarga Rw.06 Desa Cimekar Kabupaten Bandung Reni Nursyanti; R. Yadi Rakhman Alamsyah; Luthfi Fadle Rynaldy
Jurnal Pengabdian Masyarakat Tapis Berseri (JPMTB) Vol. 1 No. 1 (2022): Jurnal Pengabdian Masyarakat Tapis Berseri (JPMTB) (Edisi April)
Publisher : Pusat Studi Teknologi Informasi Fakultas Ilmu Komputer Universitas Bandar Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (384.351 KB) | DOI: 10.36448/jpmtb.v1i1.8

Abstract

Keluarga yang sejahtera merupakan faktor penting dalam terbentuknya kesejahteraan dalam masyarakat dan negara, dimana kesejahteraan keluarga menjadi salah satu tujuan utama bagi pemerintahan. Maka dari itu terlaksananya program Pendataan Keluarga di Desa Cimekar, bertujuan dalam mengumpulkan data kesejahteraan keluarga sebagai salah satu upaya pemerintah dalam memenuhi kebutuhan dasar masyrakat yang meliputi rehabilitas sosial, jaminan sosial, pemberdayaan sosial, dan perlindungan sosial. Dalam pengumpulan data kesejahteraan keluarga pada program Pendataan Keluarga masih menggunakan pencatatan manual serta observasi dari rumah ke rumah. Pengujian langsung kepada penggunna, dapat disimpulkan bahwa aplikasi Dasa Wisma Digital dapat mengumpulkan data tingkat kesejahteraan keluarga melalui kuisioner pada aplikasi yang diisi oleh warga, serta pengolahan data hasil Program Pendataan Keluarga.
Aplikasi Kamus Digital Bahasa Sunda-Indonesia-Inggris Pada Smaprtphone Berbasis Android Titan Parama Yoga; R. Yadi Rakhman Alamsyah; Wasnadi .
SisInfo Vol 1 No 2 (2019): SisInfo
Publisher : Universitas Informatika dan Bisnis Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (640.211 KB)

Abstract

Android merupakan sebuah sistem operasi yang bersifat open source yaitu memberikan kebebasan bagi developer untuk mengembangkan sebuah aplikasi. Dengan kelebihan dari sistem operasi Android,akan banyak membantu pengguna smartphone berbasis Android untuk dapat menikmati beragam aplikasi,salah satu aplikasi tersebut adalah kamus bahasa Sunda - Indonesia - Inggris ini. Tujuan utama dari aplikasikamus Sunda - Indonesia - Inggris ini adalah membantu mereka dalam menemukan terjemahan dalambahasa Sunda, bahasa Indonesia maupun bahasa Inggris secara efektif dan efisien. Adapun jenis data yangdigunakan adalah jenis data sekunder dimana data diperoleh dari buku referensi dan literatur yangberhubungan dengan tugas akhir ini. Terdapat beberapa tahapan dalam pembuatan aplikasi ini, yaituanalisa, perancangan, proses pengerjaan dan evaluasi terhadap model program yang telah dihasilkan.Aplikasi kamus Sunda - Indonesia - Inggris berbasis Android ini, dapat digunakan pada smartphone yangberbasis android dengan versi minimal 2.3(Gingerbread). Dalam pengujiannya aplikasi ini dapat berjalandengan lancar.
E Purchasing Application to Improve Company Performance Budiman; R Yadi Rakhman Alamsyah; Ismi Nur Muhamad; Nur Alamsyah
Formosa Journal of Applied Sciences Vol. 2 No. 6 (2023): June 2023
Publisher : PT FORMOSA CENDEKIA GLOBAL

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55927/fjas.v2i6.4750

Abstract

This research aims to create a web-based purchasing application. With the current purchasing system, there are often errors in data processing and also difficulties in searching for documents because there is no use of databases in the system. Therefore, an application is needed in the management of web-based purchasing data with the warerfall development method. While the analysis and design of the application is done with an object-oriented approach described by UML notation. This system is made using the php programming language and MySql database, the result of this research is the creation of a web-based data processing application that can be used by companies to facilitate the data processing process.
Audit Keamanan Sistem Informasi Menggunakan Cobit 5 di PT. Paramita Surya Makmur Plastika Titan Parama Yoga Titan; R. Yadi Rakhman Alamsyah; Silca Silkillah Adwa
Jurnal Accounting Information System (AIMS) Vol. 6 No. 1 (2023)
Publisher : Ma'soem University

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

One of the main problems for a company is information system security. High security is needed to maintain the confidentiality and misuse of information in the organization. To improve the security of business operations and the quality of information technology resources, it is necessary to evaluate to optimize the security of existing information technology assets. The purpose of this research is to carry out an information system security audit at PT. Paramita Surya Makmur Plastika using COBIT 5 and documenting the information system audit findings of PT. Paramita Surya Makmur Plastika to produce an audit report. Based on the results of research that has been carried out through interviews and questionnaires using COBIT 5 and using the APO13 and DSS05 sub domains, the results show that the existing capability is at level 1 while the expected capability level is at level 3 andt the capability gap is 2.
Pengembangan Media Pembelajaran Calistung Pada Anak Usia 4 – 6 Tahun Berbasis Android R. Yadi Rakhman Alamsyah; Marwondo Marwondo; Iqbal Maulana
Jurnal Accounting Information System (AIMS) Vol. 6 No. 2 (2023)
Publisher : Ma'soem University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32627/aims.v6i2.794

Abstract

Multimedia-based learning media is one of the essential tools in supporting the learning process, especially for early childhood education, such as children aged 4-6 years old. The issue with conventional teaching methods is the lack of visualization during material delivery, which hinders the effectiveness of the teaching and learning process. This leads to a decrease in children's interest and a sense of boredom during the learning process. The utilization of multimedia-based literacy learning media in the teaching and learning process can greatly assist in delivering educational materials in a more engaging and interactive manner. This is because multimedia-based learning media is equipped with features such as images, sound, text, and animations that enhance children's learning experiences in understanding the subject matter. Furthermore, multimedia-based learning media can also help reduce boredom levels among children during the teaching and learning process. This is because children are more likely to engage and stay focused on the learning process when they use interesting and interactive media. The development method of multimedia drills and practice used by the author in creating multimedia-based literacy learning media is highly effective. This method allows children to practice and review the subject matter repeatedly until they truly understand and master it. Overall, the utilization of multimedia-based learning media in literacy education can provide numerous benefits for children aged 4-6 years old. This media can enhance children's learning experiences in understanding educational materials, expedite the learning process, and help reduce boredom levels among children during the learning process. Therefore, it is essential for educators to leverage multimedia-based learning media as a tool to enhance the quality of education for early childhood learners.
Pengembangan Aplikasi Closing Register Berbasis Web untuk Membantu Customer Service Digital Marketing Titan Parama Yoga Titan; R. Yadi Rakhman Alamsyah; Venia Restreva Danestiara; Aliman Fauzi
Jurnal Accounting Information System (AIMS) Vol. 6 No. 2 (2023)
Publisher : Ma'soem University

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

This research was conducted to solve sales data collection problems in the digital marketing business at CV. Icommits Work Solutions. The problem that occurs is that the process of entering data is inefficient and still uses ineffective conventional methods. By doing this research the authors are looking for a way to solve this problem, and the way to solve it is to develop the Closing Register application. The purpose of developing the Closing Register application is to simplify the process of entering data and monitoring sales data so that consumers, customer service and CS admins do not need to expend a lot of energy in the sales data collection process. The Closing Register application is made with the RAD (Rapid Application Development) design model, as well as the technology used in application development, namely ReactJS as a framework in charge of creating web admin views, Flutter as a framework in charge of creating mobile displays, MySQL as a database, and ExpressJS as a framework whose job is to create an API (Application Programming Interface). The results showed that technologies are used to create up-to-date applications and for long-term use, so that later these applications can be used directly and are useful for digital marketing businesses.
Rancang Bangun Media Informasi Berbasis Multimedia Untuk Mencegah Risiko Stunting Pada Anak Balita R. Yadi Rakhman Alamsyah; Reni Nursyanti; Resvina Alya Putri
INTERNAL (Information System Journal) Vol. 6 No. 2 (2023)
Publisher : Masoem University

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Stunting is a growth disorder that describes the failure to growth potential as a result of inadequate health status or nutrition. Child stunting data in 2022 has fallen to 21.6%, but according to the World Health Organization (WHO) criteria, the percentage is still high (20%). One prevention in reducing the risk of stunting is to increase the knowledge of parents about stunting and the intake of good food to be consumed by children. The dissemination of information about stunting and nutritional food intake is often found in the media of information such as text, video, and images but the distribution of information is not organized in one medium. The development phase uses the Multimedia Development Life Cycle (MDLC) methodology with five (five) stages: concept, design, material collection, assembly, and testing. The result of this study is a multimedia-based information media in dasawisma RT 05 Bumi Orange, Cimekar Village, Bandung Regency, with a selection of stunting material menus including complementary foods for breast milk (MPASI), children's weight and height standards, child nutrition, and food intake.
ACTIVATION FUNCTION IN LSTM FOR IMPROVED FORECASTING OF CLOSING NATURAL GAS STOCK PRICES Budimann Budiman; Nur Alamsyah; R. Yadi Rakhman Alamsyah
JITK (Jurnal Ilmu Pengetahuan dan Teknologi Komputer) Vol. 10 No. 1 (2024): JITK Issue August 2024
Publisher : LPPM Nusa Mandiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33480/jitk.v10i1.5258

Abstract

The closing price of natural gas stocks greatly influences investment decisions and the energy industry. Predicting prices correctly can greatly help investors, market participants, and all parties involved, as it allows for making better decisions and optimizing investment portfolios. By using deep learning methods to role model various LSTM activation functions, such as Sigmoid, ReLU, and Tanh, this exploration will hopefully help understand complex patterns in time series data. By finding an appropriate forecasting method, all parties involved can reduce the environmental impact. The experimental results show that the model with ReLU activation function has the highest R2 value of 0.960 in both the training and test sets, and the model with Tanh activation function is also successful, with R2 values of 0.950 in the training set and 0.949 in the test set, and an MSE of 0.002. The model with the sigmoid activation function was slightly lower, with R2 values of 0.931 in the training set and 0.943 in the test set, and an MSE of 0.003. These findings indicate that the LSTM model with the ReLU activation function is considered better for predicting the closing price of natural gas stocks. These findings may help investors, stakeholders, and market participants choose the most accurate model to predict the closing price of natural gas stocks.
Co-Authors Akbar, Imannudin Aliman Fauzi Budiman Iqbal Maulana Ismi Nur Muhamad Luthfi Fadle Rynaldy Marwondo Nur Alamsyah Nursyanti, Reni Resvina Alya Putri Sardjono Sardjono Setiana, Elia Silca Silkillah Adwa Titan Parama Yoga Venia Restreva Danestiara Wasnadi .