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Development of Augmented Reality Traditional Musical Education Applications Zulkifli Syahrir Ramadhan; Reza Andrea; Suswanto
TEPIAN Vol 3 No 1 (2022): March 2022
Publisher : Politeknik Pertanian Negeri Samarinda

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (719.681 KB) | DOI: 10.51967/tepian.v3i1.690

Abstract

Technology that is developing very rapidly today is no exception in the world of education, the convenience offered by technology cannot be denied by shifting the way children learn who were born and raised in the digital era. In the field of education, augmented reality technology has been widely implemented, such as applications that use augmented reality book aids. This study aims to create an alternative application as a learning medium for the introduction of traditional musical instruments with a multimedia development method by an elementary school educational institution. In this study, the augmented reality method used is Image Based Tracking, which uses images as markers. The tool that helps in making AR is the Vuforia SDK which is used as a storage area marker. By doing this research, the results were obtained in the form of an Augmented Reality Traditional Musical Instrument Recognition application that runs on the Android platform and respondent testing using the User Acceptance Testing (UAT) method with a value of 86%.
Geolocation untuk Lahan Kelapa Sawit Berbasis Android Indah Fitri Astuti; Faqih Nur Ahmad; Dedy Cahyadi; Rosmasari; Awang Harsa Kridalaksana; Reza Andrea
Poltanesa Vol 23 No 1 (2022): Juni 2022
Publisher : P2M Politeknik Pertanian Negeri Samarinda

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (595.502 KB) | DOI: 10.51967/tanesa.v23i1.1288

Abstract

Kelapa sawit adalah salah satu spesies dengan jenis monokotil dan berakar serabut. Flora ini masuk ke Famili Arecaceae dan ordo Arecales. Perkebunan kelapa sawit termasuk tanaman yang dikelola oleh perusahaan-perusahaan komersial. Luas lahan yang dibutuhkan untuk tiap usaha saqit biasanya sangat besar, agar mampu menghasilkan produk yang menguntungkan pemilik dan karyawannya. Secara umum, produk kelapa sawit menjangkau banyak jenis, dari penghasil minyak sayur, minyak untuk dunia industri atau bahan bakar. Lahan tersebut biasanya memiliki banyak cabang sehingga banyak menyesatkan. Lokasi kebun yang diteliti berada di desa Bukit Pertama Kabupaten Kutai Timur Provinsi Kalimantan Timur. Penelitian ini bertujuan membantu orang yang berkepentingan namun tidak terlalu mengenal daerah tersebut dengan baik, juga untuk mengetahui luas lahan dan jumlah pokok sawit. Sistem menampilkan beberapa lahan yang saat ini terjangkau oleh sinyal internet, sehingga daerah yang lokasinya masih terlalu jauh dari lokasi yang diteliti atau pun yang kurang/tidak terjangkau sinyal belum akan dapat diakses. Geolocation berbasis android digunakan untuk mempermudah pembangunan sistem dan penggunaan sistem. Fitur yang disediakan adalah lahan, lokasi dan bantuan. Fitur lahan akan memberikan rincian informasi berupa luas, tahun tanam, jumlah pokok, dan tahun penanaman. Studi ini menghasilkan sistem geolocation pemetaan lahan sawit yang dapat diakses melalui aplikasi di telepon genggam.
Modelling Open Access Catalog (OPAC) Success using DeLone and McLean models in Library Agriculture Polytechnic of Samarinda Dani Wahyudi Wahyudi; Suswanto; Reza Andrea
TEPIAN Vol 3 No 3 (2022): September 2022
Publisher : Politeknik Pertanian Negeri Samarinda

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (350.211 KB) | DOI: 10.51967/tepian.v3i3.688

Abstract

Online Public Access Catalog (OPAC) is one of the systems used and utilized by the Samarinda State Agricultural Polytechnic library to provide information regarding the availability and collection of books owned by the library. The purpose of this study was to determine the success in implementing OPAC using the Delone and McLean Model. Consists of seven variables, namely information quality, system quality, service quality, usage, user convenience, interest in using, and net benefits. The data obtained from this study were obtained from the distribution of questionnaires using Google Forms and in writing, the research sample was obtained by 40 respondents. The results obtained in this study are in the form of conditions for each variable in the Delone and McLean Model. The user satisfaction and net benefit variables are in the high category, while the information quality and system quality variables are in the fairly high category. From the results obtained, it is necessary to prioritize improvements to the indicators owned by the Delone and McLean Model variables with the average percentage of each indicator which is below the average percentage of all indicators.
Penerapan Metode EDAS Dalam Pemilihan Wirausaha Muda Terbaik dengan Pembobotan ROC Salmon Salmon; Bartolomius Harpad; Reza Andrea
JURNAL MEDIA INFORMATIKA BUDIDARMA Vol 7, No 2 (2023): April 2023
Publisher : Universitas Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/mib.v7i2.6066

Abstract

An entrepreneur is a person or actor who has created a new business by taking on most of the risks that will occur and enjoying most of the rewards. Entrepreneurship aims to create or create a job field so that it can help another person's work and to train a job so as to create other people's welfare. A young entrepreneur is someone who is skilled in taking advantage of an opportunity to develop his business in order to improve life in a good direction. Young entrepreneurs should have criteria in running an entrepreneur such as: optimistic, innovative, creative and leadership. So the calculations from the research above use the Evaluation Based On Distance From Average Solution or EDAS method of weighting Rank Order Centroid (ROC) there are 10 alternatives and 4 criteria so that a higher decision value can be produced by Saiful (A1) first rank with value 1.
Analisis Dalam Pendukung Keputusan Seleksi Reporter dengan Menerapkan Metode EDAS dan Pembobotan ROC Pitrasacha Adytia; Muhammad Fahmi; Reza Andrea
JURNAL MEDIA INFORMATIKA BUDIDARMA Vol 7, No 2 (2023): April 2023
Publisher : Universitas Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/mib.v7i2.6064

Abstract

The community's need for curiosity about the latest information makes news something that is always sought after and never goes extinct. One of the important elements in the world of news is the reporter. Reporters are people who are involved or play an important role in finding the latest information and covering everything that happens and conveying news or facts that happened at the scene directly to the public. In addition, reporters are also tasked with compiling various important information in a systematic and easy-to-understand manner so that the public can understand well about whatever is conveyed by the reporter. However, the amount of data makes it difficult for companies to select potential reporters. Because if done manually it is less effective. To solve these problems, a decision support system was created to assist the company in determining which applicants should be accepted. A decision support system (DSS) is a system that was created with the aim of helping parties who have difficulty making a decision or making an election with large amounts of data. In this study the method used is the EDAS method. the EDAS method is a method that functions to produce a ranking value from several choices so that a calculated value is obtained from each criterion attribute value. Based on the results of the research that has been carried out and has been carried out regarding the selection of prospective reporters who are eligible to be accepted by companies by optimizing the Decision Support System function by implementing the EDAS (Evaluation Based On Distance From Average Solution) method and the Rank Oder Centroid (ROC) weighting method, it is obtained the result is equal to 1.3093 with code B4 on behalf of syahputra as a reporter candidate that the company deserves to accept.
PENERAPAN DECISION TREE DALAM AGEN CERDAS "UNDA ANAK PINTAR" PERMAINAN EDUKASI MUATAN LOKAL BAHASA BANJAR Asep Nurhuda; Reza Andrea
Jurnal Ilmiah Matrik Vol 22 No 2 (2020): Jurnal Ilmiah Matrik
Publisher : Direktorat Riset dan Pengabdian Pada Masyarakat (DRPM) Universitas Bina Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33557/jurnalmatrik.v22i2.986

Abstract

The educational game "Unda Anak Pintar" is research and development of a puzzle game, it was designed to sharpen memories. In this game, players must read random letters and make words in the Banjar language. Artificial intelligence is also applied in this research. Using the decision tree, game agents can accompany children to play like teachers. The game agent as a virtual teacher can provide sad and happiness emoticon according to the game environment. The results of this study, AI make educational games more interesting and interactive for children.
Edugame “Etam-Tainment” Pembelajaran Bahasa Kutai dengan Shuffle Random dan Agen Cerdas Sefty Wijayanti; Asep Nurhuda; Reza Andrea
Jurnal Nasional Teknik Elektro dan Teknologi Informasi Vol 7 No 3: Agustus 2018
Publisher : Departemen Teknik Elektro dan Teknologi Informasi, Fakultas Teknik, Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1134.918 KB)

Abstract

The research entitled Educational Game (Edugame) "Etam-tainment" is a research development of Puzzle Game type, designed to hone memory in the form of language. In this game, players must arrange letters in random and create a word in Kutai language. Artificial Intelligence (AI) technology will also be applied to this research. Using the Finite State Machine model method, this game will have game agent character that will accompany a child to play like a teacher. Game agent in the form of virtual teacher can give a sad and happy expression accordingly from the game environment. The results of this study make this edugame become more interesting and interactive to children. Game agent AI will accompany child in this game is like teacher.
Penerapan Metode Weighted Aggregated Sum Product Assessment (WASPAS) dengan Rank Order Centroid (ROC) Dalam Rekomendasi Barbershop Terbaik Wahyuni Wahyuni; Siti Lailiyah; Reza Andrea
JURNAL MEDIA INFORMATIKA BUDIDARMA Vol 7, No 4 (2023): Oktober 2023
Publisher : Universitas Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/mib.v7i4.6769

Abstract

Barbershop is an innovation or development of a service previously known as a barber or barbershop. Barbershop operations are led by a barber or hairstylist, also known as a hairstylist, who has special skills in shaving and creating a variety of men's hairstyles. The barbershop business is experiencing rapid growth in this era. While there may be different variations of the name or brand, this business promises very attractive prospects in the long term. With so many barbershop options available, finding the best one can be a daunting task. In choosing a barbershop, there are several criteria to consider, such as the skill of the hairstylist, price, services offered, facilities provided, and level of cleanliness. To organize data and provide recommendations regarding the best barbershop, it is necessary to use an effective information system. The term "Decision Support System" (DSS) is often used to describe these information systems. The main objective of the DSS system is to improve the decision-making process and make it more effective and efficient by providing information, analysis and data modeling. The data needed to provide the best barbershop recommendations in Samarinda City were collected using the WASPAS (Weighted Aggregated Sum Product Assessment) and ROC (Rank Order Centroid) methods in this study. The replacement for the BS4, Sir Salon Barbershop, has the highest rating of 0.9815, making it a top barbershop recommendation.
Analisis Perbandingan metode Teorema Bayes dan CF dalam Mendiagnosa Gejala Penyakit Demam Berdarah Dengue Bartolomius Harpad; Reza Andrea
JURNAL MEDIA INFORMATIKA BUDIDARMA Vol 7, No 4 (2023): Oktober 2023
Publisher : Universitas Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/mib.v7i4.6776

Abstract

Dengue Hemorrhagic Fever (DHF) is a potentially hazardous condition and a health concern in various tropical countries. To accurately and swiftly detect this disease, various diagnostic methods have been developed. The incidence of DHF can fluctuate from year to year, influenced by factors such as weather changes, vector control efforts, and socio-economic aspects. In Indonesia, there have been significant outbreaks of DHF in certain years. In this study, the Author conducted a comparison between the Bayesian Theorem method and the Certainty Factor (CF) method to diagnose DHF symptoms. The Bayesian Theorem calculates the probability of the disease based on symptoms, while the Certainty Factor employs a confidence level to link symptoms with the disease. Symptom data from previous DHF patients were collected, and both methods were utilized to diagnose these cases. The analysis results indicate that both methods have their respective strengths and limitations in terms of accuracy and speed. The Bayesian Theorem is accurate when complete symptom data is available, while the Certainty Factor is useful when data is incomplete or uncertainty exists. Both methods can be used concurrently based on context. This research illustrates the application of statistical analysis and data-driven approaches to enhance DHF diagnosis, also stimulating the development of advanced combined methods in the future. This study provides insights into the use of probabilistic approaches and confidence-based logic in DHF diagnostic development. Both methods can be applied interchangeably or in conjunction, depending on data and case characteristics. The results of applying the Bayesian Theorem and Certainty Factor show that the Bayesian Theorem yields 57.29%, while the Certainty Factor achieves 94.47% accuracy in diagnosing DHF.
Development of Augmented Reality Traditional Musical Education Applications Zulkifli Syahrir Ramadhan; Reza Andrea; Suswanto
TEPIAN Vol. 3 No. 1 (2022): March 2022
Publisher : Politeknik Pertanian Negeri Samarinda

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51967/tepian.v3i1.690

Abstract

Technology that is developing very rapidly today is no exception in the world of education, the convenience offered by technology cannot be denied by shifting the way children learn who were born and raised in the digital era. In the field of education, augmented reality technology has been widely implemented, such as applications that use augmented reality book aids. This study aims to create an alternative application as a learning medium for the introduction of traditional musical instruments with a multimedia development method by an elementary school educational institution. In this study, the augmented reality method used is Image Based Tracking, which uses images as markers. The tool that helps in making AR is the Vuforia SDK which is used as a storage area marker. By doing this research, the results were obtained in the form of an Augmented Reality Traditional Musical Instrument Recognition application that runs on the Android platform and respondent testing using the User Acceptance Testing (UAT) method with a value of 86%.
Co-Authors AA Sudharmawan, AA Addy Suyatno Afriany, Joli Agus Rineng Mattola Agustinus Baretto Petrus Anggen Ahmad Rofiq Hakim Ahmad, Faqih Nur Alameka, Faza Andi Yusika Andriawan Angga Pratama annafi franz, annafi Ardan, M Asti Melani Persius Awang Harsa Kridalaksana Awang Harsa Kridalaksana AYU LESTARI Azahari Bambang Kurniawan Beze , Husmul Budi Rachmadani Caroline, Audy Nabila Cladio Alessandro Ryan Tobi Dani Wahyudi Wahyudi Dedy Cahyadi Dedy Cahyadi, Dedy Devian Antoni Dharma Deny Ekawati Yulsilviana Emil Riza Putra Fachry Abda El Rahman Fadila Tiara Fahmi Fitnanda Fahrul Agus Fajar Ramadhani Faqih Nur Ahmad Harianto, Kusno Harpad, Bartolomius Harpad, Bartolomius Hurang, Christianus Natalis Husmul Beze, Husmul Ida Maratul Khamidah Imron Imron, Imron Indah Fitri Astuti Indah Fitri Astuti, Indah Fitri Inka Sandy Taruna Isnaynun, Isnaynun Junirianto, Eko Karim, Syafei Khoirunnita, Aulia Lialiyah, Siti M. Irwan Ukkas Irwan Ukkas Ukkas Maria, Eny Markarius Paso Mira Dewi Yustina Muhammad Audi Yordana Muhammad Fahmi Muslimin Muslimin Nabile, Daniel Niansyah, Sugih Nona, Risna Nurhasanah Nurhasanah Nurhuda, Asep Nursobah, Nursobah Nurul Ikhsan Pahrudin, Pajar Pitrasacha Adytia Rachmadani, Budi Ramadhani, Budi Ramadiani - Riko Raynol Hasan Rosita, Dewi Rosmasari Rosmasari Rosmasari Rudito Rudito Salmon Salmon Salmon Salmon, Salmon Sari, Seli Puspita Sefty Wijayanti Shinta Palupi Shinta Palupi Siti Lailiyah Siti Lailiyah Siti Lailiyah, Siti Siti Qomariah Sjamsir, Hasbi Suci Ramadhani, Suci Suswanto Suswanto Suswanto Suswanto Suswanto Suswanto Suswanto, Suswanto Syamsuddin Mallala Tri Hannanto Saputra Wahyudi, Dani Wahyudi Wahyuni - Wahyuni Wardana, Yustinus Rosa Indra Wijayanti, Sefty Wijayanti, Sefty Yulianti Yulianti Yulianto Yulianto Yulianto Yunita Yunita Zulkifli Syahrir Ramadhan