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All Journal Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) METHOMIKA: Jurnal Manajemen Informatika & Komputerisasi Akuntansi Sebatik JITTER (Jurnal Ilmiah Teknologi Informasi Terapan) J-SAKTI (Jurnal Sains Komputer dan Informatika) IJISTECH (International Journal Of Information System & Technology) JURTEKSI MIND (Multimedia Artificial Intelligent Networking Database) Journal Aptisi Transactions on Technopreneurship (ATT) METIK JURNAL JURNAL IT: Media Infromasi STMIK Handayani Makassar Building of Informatics, Technology and Science INFOKUM Brahmana : Jurnal Penerapan Kecerdasan Buatan TEPIAN IJISTECH Buletin Poltanesa J-SAKTI (Jurnal Sains Komputer dan Informatika) Informatika Wicida Jurnal Teknik Informatika Journal of Artificial Intelligence and Engineering Applications (JAIEA) Journal of Pedagogy and Education Science Journal of Informatics and Electronics Engineering TAMIKA: Jurnal Tugas Akhir Manajemen Informatika & Komputerisasi Akuntansi BEduManageRs Journal : Borneo Educational Management and Research Journal Information Technology Studies Journal Research in Education, Technology, and Multiculture
Heny Pratiwi
STMIK Widya Cipta Dharma
Agriculture, Biological Sciences & Forestry Humanities Automotive Engineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Mathematics Mechanical Engineering Social Sciences Other

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Application of the Finite State Machine Method in the Desktop-Based “Heroes Of Dawn” RPG Turn-Based Game Muhammad Fachri Sanjaya; Heny Pratiwi; Pitrasacha Adytia
TEPIAN Vol 2 No 2 (2021): June 2021
Publisher : Politeknik Pertanian Negeri Samarinda

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51967/tepian.v2i2.348

Abstract

FSM (Finite State Machine) is a method of implementing artificial intelligence that is applied to make a decision on NPC (Non Player Character). The application of FSM that is often encountered is to form an NPC with intelligence, so that the NPC can respond to the player's character so that the NPC seems to be able to think. Games have various types (genres) and are increasingly varied in line with the development of hardware and software technology. Writing will focus on games with the Role Playing Game genre or often called RPG. Games in general use Artifical Intelligence in their systems to make the game more interesting to play. Artifical Intelligence is usually applied to NPC (Non Player Character) / Enemy in the game or opponents who must be defeated, one of the applications of Artifical Intelligence in the game to be used in this research is the Finite State Machine (FSM) method.
Implementation of Multi Objective Optimization on the Basic of Ratio Analysis Method in Decision Support System for Hope Family Program Assistance Recipients in Kelinjau Ulu Village Arsita; Salmon; Heny Pratiwi
TEPIAN Vol 2 No 4 (2021): December 2021
Publisher : Politeknik Pertanian Negeri Samarinda

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (559.92 KB) | DOI: 10.51967/tepian.v2i4.351

Abstract

The research was conducted to be able to create a decision support system for beneficiaries of the Family Hope Program or “Program Keluarga Harapan (PKH)” with the Multi Objective Optimization Method On The Basic Of Ratio Analysis (Moora), which later if this research is successful it can assist aid managers in making decision making for program aid recipients Family Hope “PKH”. This research was conducted at the office of the Family Hope Program “PKH” assistance manager in Kelinjau Ulu Village, Muara Analog District, the data collection method used was interviews which asked questions related to “PKH” beneficiaries. By means of observation, namely making direct observations at the “PKH” Assistance Manager office. In this study, the system development method used is the decision support system development method. The model with the decision support software used is the Visual Basic.NET programming language, the database used by Microsoft Access. The final result of this research is in the form of a Decision Support System for beneficiaries of the Family Hope Program “PKH” Using the Multi Objective Optimization Method on the Basic of Ratio Analysis (Moora) which can facilitate more precise selection of “PKH” aid recipients.
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

Abstract

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.
PROTOTIPE ALAT PERAWATAN IKAN HIAS MENGGUNAKAN NODEMCU BERBASIS IOT (Internet of Things) Salmon Salmon; Heny Pratiwi; Achmad Sadzali Muftisjar
Jurnal Informatika Wicida Vol 13 No 1 (2023): Januari 2023
Publisher : STMIK Widya Cipta Dharma

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (570.872 KB)

Abstract

Penelitian ini dilakukan agar dapat membuat alat perawatan ikan hias menggunakan NodeMCU berbasis IOT (Internet Of Things). Menggunakan aplikasi android sebagai kontroll yang dapat digunakan secara online agar mempermudah pengguna dalam merawat ikan hias. Penelitian ini dilakukan di Toko Gio Art Aquarium. Metode pengumpulan data yang digunakan yaitu dengan wawancara yang mengajukan pertanyaan-pertanyaan yang berkaitan dengan proses perawatan ikan hias. Dalam penelitian ini metode pengembangan sistem yang digunakan yaitu Prototyping atau model prototype, dengan perangkat keras pendukung yang digunakan adalah NodeMCU ESP8266, Arduino Nano, Sensor Suhu LM35, Real Time Clock, Liquid Crystal Display, Motor Servo, Kabel Jumper dan perangkat lunak pendukung yang digunakan adalah Arduino IDE, Fritzing, Kodular dan Firebase. Dalam pengggujiannya menggunakan motede Black Box dan White Box.
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

Abstract

 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.
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

Abstract

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

Abstract

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.
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

Abstract

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.
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

Abstract

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.
Perbandingan Algoritma ELM Dan Backpropagation Terhadap Prestasi Akademik Mahasiswa Pratiwi, Heny; Harianto, Kusno
J-SAKTI (Jurnal Sains Komputer dan Informatika) Vol 3, No 2 (2019): EDISI SEPTEMBER
Publisher : STIKOM Tunas Bangsa Pematangsiantar

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (551.042 KB) | DOI: 10.30645/j-sakti.v3i2.147

Abstract

Extreme Learning Machine and Backpropagation Algorithms are used in this study to find out which algorithm is most suitable for knowing student academic achievement. The data about students are explored to get a pattern so that the characteristics of new students can be known every year. The evaluation process of this study uses confusion matrix for the introduction of correctly recognized data and unknown data. Comparison of this algorithm uses student data at the beginning of the lecture as early detection of students who have problems with academics to be anticipated. The variables used are the value of the entrance examination for new students, the first grade IP value, Gender, and Working Status, while the output variable is the quality value as a classification of academic performance. The results of this study state that the Extreme Learning Machine algorithm has a 14.84% error rate lower than Backpropagation 28.20%. From the model testing stage, the most accurate result is the Extreme Learning Machine algorithm because it has the highest accuracy and the lowest error rate.
Co-Authors Abed Nego Achmad Sadzali Muftisjar Ade Maulana Anshari Adeputra, James Ahmad Abul Khair Ahmad Fahrijal Pukeng Ahmad Fahrijal Pukeng Ahmad Fahrijal Pukeng Ahmad Fajri Ahmad Rofiq Hakim Ahmad Sabirin Aisyah Fajrianti Aisyah Fajriantini Akhmad Rizky Fahrozy Aldianur Fajri Alysa Anggelia Y Amelia Yusnita Ananta Putra, Resifa Andi Yusika Rangan Anggra Prima Angreani, Fadillah Anwar, Rafidan Arsita Ashari Ramadani Atventitus Etwin Loho Azahari Azahari Azahari Azahari Azahari Azahari Bai' Fathur Rayhan Bartolomius Harpad Cembes, Yosefina Chandra Panca Wibawa Cintami Amanda Putri Damaya, Filio Angga Dana Aulia Rahman Daru Caraka Daud Yefkanius Nassa Daud, Jundro Dendy Kurniawan Dessy Purnamasari Dovist Calvino Ekawati, Hanifah Ekawati, Hanifah Eko Junirianto Fadjri Astra Ryan Sinurat Harianto, Kusno Haristyawan, Ivan I Made Borneo Setyawan Ita Arfyanti Julio Enrico Frans Frans Kristian Vandi Hermawan Kristianus Catur Prasetya Ajang Kusno Harianto Kusno Harianto Lamsi, Rahmadiansyah Zain M. Irwan Ukkas Irwan Ukkas Ukkas M.Ariya Parengrengi Muhammad Alamsyah Zakaria Muhammad Andrian Muhammad Fachri Sanjaya Muhammad Fadhilah Muhammad Fahmi Muhammad Fahmi Muhammad Fahriawan Muhammad Ibnu Sa'ad Muhammad Ibnu Sa'ad Muhammad Ibnu Saad Saad Muhammad Ibnu Sa’ad Muhammad Raihan Ramandha Putra Muhammad Rega Praduana Muhammad Sadam Saktia Putra Novandra Satria Winata NUR FITRIANI Nursobah, Nursobah Nurul Hikmah Okvi Marsi Angela Claudia Pahrudin, Pajar Pitrasacha Adytia Putra, Muhammad Sadam Saktia Putri Wulandari Renni Mayasari Resifa Ananta Putra Rifka Karin Afinda Rizky Zakaryya Rasyad Ryan Artanto Halim SA'AD, MUHAMMAD IBNU Saad, Muhammad Ibnu Salmon Salmon Salmon Sarifmata Purnomo Sa’ad, Muhammad Ibnu Shinta Palupi Suhariyadi, Yonatan Sururi, M Za’iem Susi Salviati Syamsuddin Mallala Syamsuddin Mallala Ulfa Nurfadhila W Wahyuni, W Wahyuni - Wahyuni Y Yunita Yunita Yunita Zakaria, Muhammad Alamsyah