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Penerapan Metode Single Moving Average Dalam Peramalan Persediaan Bahan Pangan Kukuh Rizqi Liyadi; Heny Pratiwi; Pitrasacha Aditya; Muhammad Ibnu Sa’ad
Brahmana : Jurnal Penerapan Kecerdasan Buatan Vol 4, No 1 (2022): Edisi Desember
Publisher : LPPM STIKOM Tunas Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/brahmana.v4i1.136

Forecasting is a technique that is quite widely used today and has been developed since the 19th century. In line with the development of increasingly sophisticated forecasting techniques accompanied by developments in the use of computers. Forecasting can predict or estimate what will happen in the future using certain techniques so that forecasting has received increasing attention in recent years. Web-based applications are one of the systems that support the development of computer use, therefore in this study, researchers develop web-based applications for forecasting using the Single Moving Average method. In this study, forecasting was carried out using the Single Moving Average method to find out how much food is needed in the following month based on actual data from the previous months. Based on forecasting which was carried out using actual data from December 2021 to June 2022, the results obtained in the following month, namely July 2022, were 2,901 kg.

Application of the SMARTER Method in Determining the Whitening of Study Permits and Teacher Study Tasks Rahmat Daffa Affandi; Heny Pratiwi; Azahari; Muhammad Ibnu Sa'ad
Aptisi Transactions On Technopreneurship (ATT) Vol 5 No 2 (2023): July
Publisher : Pandawan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34306/att.v5i2.311

Â Study assignment programs and study permits aim to meet the need for staff with certain skills or competencies. in the context of carrying out tasks and functions as well as organizational development, reducing the gap between competency standards and or position requirements with the competencies of Teachers who will fill positions, as well as increasing the knowledge, abilities, skills, attitudes, and professional personality of Teachers, as an integral part of the development plan teacher career. This of course requires a decision support system to be able to assist the Education Office in selecting teachers to provide teacher study permits and study assignments. Decision Support Systems (DSS) or Decision Support Systems (DSS) are computer-based systems that are interactive in assisting decision-makers by utilizing data and models to solve unstructured problems. In this study, the SMARTER method was used as a multi-criteria decision making. The purpose of this research is to assist the Education Office in making decisions when providing a determination of the redemption of study permits, and teacher study assignments as well as providing uniformity and legal certainty in the implementation of study assignments and study permits, and supporting teachers within the local government so that they can improve competence and be more professional in carrying out its duties and functions. Based on research that has been done using the SMARTER method, the sum of each criterion is 0.7840. This implementation produces information that is relatively fast, precise, and feasible to use for updating study permits and teacher learning assignments, and can be carried out without being constrained by time by implementing a web-based application.

Application of the SMARTER Method in Determining the Whitening of Study Permits and Teacher Study Tasks Rahmat Daffa Affandi; Heny Pratiwi; Azahari; Muhammad Ibnu Sa'ad
Aptisi Transactions On Technopreneurship (ATT) Vol 5 No 2 (2023): July
Publisher : Pandawan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34306/att.v5i2.311

Â Study assignment programs and study permits aim to meet the need for staff with certain skills or competencies. in the context of carrying out tasks and functions as well as organizational development, reducing the gap between competency standards and or position requirements with the competencies of Teachers who will fill positions, as well as increasing the knowledge, abilities, skills, attitudes, and professional personality of Teachers, as an integral part of the development plan teacher career. This of course requires a decision support system to be able to assist the Education Office in selecting teachers to provide teacher study permits and study assignments. Decision Support Systems (DSS) or Decision Support Systems (DSS) are computer-based systems that are interactive in assisting decision-makers by utilizing data and models to solve unstructured problems. In this study, the SMARTER method was used as a multi-criteria decision making. The purpose of this research is to assist the Education Office in making decisions when providing a determination of the redemption of study permits, and teacher study assignments as well as providing uniformity and legal certainty in the implementation of study assignments and study permits, and supporting teachers within the local government so that they can improve competence and be more professional in carrying out its duties and functions. Based on research that has been done using the SMARTER method, the sum of each criterion is 0.7840. This implementation produces information that is relatively fast, precise, and feasible to use for updating study permits and teacher learning assignments, and can be carried out without being constrained by time by implementing a web-based application.

Perbandingan Algoritma Extreme Learning Machine dan Multilayer Perceptron Dalam Prediksi Mahasiswa Drop Out Muhammad Ibnu Saad Saad
Bulletin of Information Technology (BIT) Vol 4 No 3: September 2023
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bit.v4i3.890

Determined by the university concerned. The high number of drop out students at tertiary institutions can be minimized by policies from tertiary institutions to direct and prevent students from dropping out that detecting at-risk students in the early stages of education is very important to do to keep students from dropping out. The purpose of this study is to classify and compare the Extreme Learning Machine and Multilater Perceptron algorithms in predicting student drop out. This study uses two algorithms, namely Extreme Learning Machine and Multilater Perceptron which are feedforward artificial neural network learning methods. The data used is 110 data according to the number of students from class 2012 to 2018. The data is taken from the Doctor of Education Management academic information system. In this case how to predict student drop out using the variables Gender, Working Status, Family Status, Age, Semester 3 GPA, Comprehensive Examination, Dissertation Progress, and Publications. The results of the Extreme Learning Machine classification based on a ratio of 80:20 get an accuracy of 95% with a hidden layer of 20 and a Mean Squared Error value of 0.369. Whereas the Multilater Perceptron with the same ratio gets 91% accuracy. From the two models used, it shows that the two artificial neural network algorithms can produce good performance in predicting drop out students.

Deteksi Marker Augmented Reality dalam Pengenalan Batik Kalimantan Timur menggunakan Algoritma Convolutional Neural Networks (CNNs) SA'AD, MUHAMMAD IBNU; PRATIWI, HENY
MIND (Multimedia Artificial Intelligent Networking Database) Journal Vol 9, No 1 (2024): MIND Journal
Publisher : Institut Teknologi Nasional, Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26760/mindjournal.v9i1.89-98

AbstrakMultimedia dan kecerdasan buatan saat ini masih menjadi trend dalam dunia pendidikan, wirausaha, industri, teknologi kedokteran, dan bidang lainnya. Salah satu perkembangan teknologi computer vision adalah Augmented Reality. Augmented reality merupakan teknologi yang menggabungkan antara dunia nyata dan dunia maya dengan menggunakan marker sebagai target objek 3D yang akan ditampilkan. Algoritma Convolutional Neural Network, sebagai pendukung dalam penelitian ini yang bertujuan untuk mengukur keakuratan marker motif batik kalimantan timur. Metode yang digunakan pada penelitian ini adalah marker based tracking untuk melacak penanda visual. Hasil pengujian dengan 100 data marker dengan rasio 80:20 marker motif batik Kalimantan Timur menunjukan akurasi terbaik yaitu sebesar 0,9092, dan rata-rata akurasi keseluruhan dari epoch 1 sampai epoch 20 yaitu sebesar 0,90237. Hasil akhir pengujian marker dan objek 3D Augmented Reality.Kata kunci: multimedia, kecerdasan buatan, augmented reality,convolutional neural networksAbstractMultimedia and artificial intelligence are currently still a trend in the world of education, entrepreneurship, industry, medical technology and other fields. One of the developments in computer vision technology is Augmented Reality. Augmented reality is a technology that combines the real world and the virtual world by using markers as targets for the 3D objects to be displayed. The Convolutional Neural Network algorithm, as support in this research, aims to measure the accuracy of East Kalimantan batik motif markers. The method used in this research is marker based tracking to track visual markers. The test results with 100 marker data with a ratio of 80:20 for East Kalimantan batik motif markers showed the best accuracy, namely 0.9092, and the overall average accuracy from epoch 1 to epoch 20 was 0.90237. Final results of testing markers and 3D Augmented Reality objects.Keywords: multimedia, artificial intelligence, augmented reality, convolutional neuralnetworks

Penerapan Data Mining Dalam Menganalisis Pola Belanja Konsumen Menggunakan Market Basket Analysis Sarifmata Purnomo; Heny Pratiwi; Sa'ad, Muhammad Ibnu
METIK JURNAL Vol 7 No 2 (2023): METIK Jurnal
Publisher : LPPM Universitas Mulia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47002/metik.v7i2.678

Currently, almost every activity is related to data. in the business sector, daily sales transaction data stored in the database system will always increase and accumulate. The existing data is only used as an archive by the shop owner so that it has an impact on sales strategies that are not implemented well, even though the existing data can be processed into information to determine the layout of goods so that it has an impact on increasing the occurrence of impulse buying, increasing or maintaining turnover, and minimizing product waste. accumulate until it expires which can be detrimental to the shop.The aim of this research is to find consumer shopping patterns using Marker Basket Analysis. This research method is called market basket analysis or also called association rules, which is a data mining technique for finding patterns that often appear simultaneously in transaction data, so that it can be used as a method for finding information about what kinds of goods are frequently used. purchased by consumers simultaneously. The results of this research, based on data analysis using the Rapidminer application, found 25 associative relationships or rules with a lift ratio value of more than 1, these rules become a reference in determining the layout of goods. Providing recommendations for layout changes aims to make it easier for consumers to shop, increase the possibility of impulse buying by consumers, and maximize product display, thereby reducing the accumulation of goods in the Purnama Store Warehouse.

PENGARUH DUKUNGAN TEMAN SEBAYA TERHADAP POLA PIKIR BERWIRAUSAHA PADA PELAKU USAHA MUDA DI KOTA BONTANG Irianto; Sa'ad, Muhammad Ibnu
BEduManagers Journal : Borneo Educational Management and Research Journal Vol. 4 No. 2 (2023): BEduManagers Journal : Borneo Educational Management and Research Journal
Publisher : Manajemen Pendidikan Program Doktor

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30872/bedu.v4i2.3007

Youth entrepreneurship has a signiﬁcant impact on productivity, economic growth and the creation of new technologies. Peer support, entrepreneurship education, and self-eﬃcacy have been shown to inﬂuence students' entrepreneurial intentions.Social support from family and peer environment is also related to entrepreneurial intention. In addition, research also shows thatpeers have a signiﬁcant inﬂuence on entrepreneurial career choice, even greater than the inﬂuence of parents. Therefore, it can be concluded that peer support plays a signiﬁcant role in the development of an entrepreneurial mindset in young entrepreneurs. Thisshows the importance of paying attention to social environmental factors, such as peer support, in an eﬀort to develop anentrepreneurial spirit in the younger generation.

MEDIA PEMBELAJARAN INTERAKTIF BERBASIS EDUTAINMENT Muhammad Ibnu Sa'ad; Heny Pratiwi; Ahmad Abul Khair
BEduManagers Journal : Borneo Educational Management and Research Journal Vol. 4 No. 2 (2023): BEduManagers Journal : Borneo Educational Management and Research Journal
Publisher : Manajemen Pendidikan Program Doktor

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30872/bedu.v4i2.3011

This educational entertainment-based interactive learning media aims to maximize the teaching and learning process to make it easier and more enjoyable so that it can increase students' interest in learning, especially financial literacy, 3D animation material. Apart from that, teachers can also create questions for students to work on without having to correct them manually because of this system. equipped with an automatic error correction feature based on answers made by the teacher and an educational entertainment system on this website. It is also equipped with mini flash games so that the site content becomes more diverse, and the material is equipped with animation. Content updates can be done dynamically via the admin panel. This educational entertainment-based interactive learning media was developed using the Prototype system development methodology and system development tools using UML (Unifield Modeling Language). In developing this educational entertainment website, the programming languages PHP, HTML, JavaScript, JQuery MySQL Database, and Sublime Text were used as editors. text and Adobe Flash Professional CS6 as image editor. From the results of this research, an edutainment website was created which contains learning material features in the form of animated images, video tutorials about 3D animation, photos of teaching and learning activities for students majoring in multimedia engineering, educational games, discussion forums and multiple choice questions.

Principal Component Analysis Algorithm For Face Recognition in Kindergarten Students abul khair, ahmad; Ibnu Sa'ad, Muhammad
BEduManagers Journal : Borneo Educational Management and Research Journal Vol. 5 No. 1 (2024): BEduManagers Journal : Borneo Educational Management and Research Journal
Publisher : Manajemen Pendidikan Program Doktor

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30872/bedu.v5i1.3935

In kindergarten, understanding each student's activities is crucial for evaluating their learning and adaptation to the school environment. However, manually tracking individual student activities during class is challenging for kindergarten teachers. This paper proposes using face recognition for kindergarten students as a preliminary step to monitor and record their activities. The process involves converting video footage of students into digital images. Faces are detected using the Viola-Jones method, and feature extraction on the images is performed using the Principal Component Analysis (PCA) method. Euclidean Distance is then applied to recognize the students' faces. Our experiments utilize 70 images for training data, consisting of 5 different images from each of the 14 students. The experimental results demonstrate an accuracy of 91.42% when testing 14 new images of the students

Sistem Pakar Berbasis Web untuk Diagnosis Penanganan Pasca Panen Kelapa Sawit Menggunakan Metode Naive Bayes Pratiwi, Heny; Sa'ad, Muhammad Ibnu; Zakaria, Muhammad Alamsyah
TAMIKA: Jurnal Tugas Akhir Manajemen Informatika & Komputerisasi Akuntansi Vol 4 No 2 (2024): TAMIKA: Jurnal Tugas Akhir Manajemen Informatika & Komputerisasi Akuntansi
Publisher : Universitas Methodist Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46880/tamika.Vol4No2.pp259-267

This study aims to design a web-based Expert System that is able to diagnose post-harvest handling of oil palm using the Naive Bayes method. In addition, this study also aims to explore optimal harvesting and post-harvest handling management in order to produce high-quality oil yields. This study was conducted at PT Sawit Sukses Sejahtera, the location where the experts work. Data collection was carried out through interviews with experts related to post-harvest handling of oil palm fruit, as well as literature studies to obtain data relevant to the research topic. The Naive Bayes method is used based on the probability found in the post-harvest handling process of oil palm, while system development follows the ESDLC (Expert System Development Life Cycle) methodology, which is the basis for designing and developing expert systems.

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