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All Journal Informatika Mulawarman SISFOTENIKA JURNAL REKAYASA TEKNOLOGI INFORMASI METIK JURNAL Seminar Nasional Teknologi Informasi Komunikasi dan Administrasi [SEMINASTIKA] Jurnal Teknosains Kodepena (Kodepena Journal of Technoscience) Buletin Poltanesa Jurnal Teknosains Kodepena (Kodepena Journal of Technoscience)
Faza Alameka
Universitas Mulia
Agriculture, Biological Sciences & Forestry Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Education Electrical & Electronics Engineering Energy Engineering Immunology & microbiology Industrial & Manufacturing Engineering Mathematics Other

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Prototipe Media Pembelajaran Rambu Lalu Lintas Berbasis Android Andi Tejawati; Muhammad Bambang Firdaus; Muhammad Nur Ihwan; Faza Alameka; M Khairul Anam
METIK JURNAL Vol 5 No 1 (2021): METIK Jurnal
Publisher : LP3M Universitas Mulia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47002/metik.v5i1.210

Abstract

This study is motivated by motorists' lack of knowledge and discipline when it comes to traffic signs, which leads to frequent traffic accidents, congestion, and other issues on the road. The problem formulation is how to design and develop an Android-based traffic learning media application. The goal of this research is to provide motorists with information about road signs. The purpose of this research is to examine the literature on the theory of instructional media and the various types of android-based application development. The black box method was used to test this application. This study yielded an android-based traffic learning media application. Based on the test results, it is possible to conclude that this application was created to assist motorists in locating traffic signs on the highway
Pemodelan Konsep Augmented Reality Motif Batik Dayak Kalimantan Timur Andi Tejawati; Joan Angelina Widians; Renol Sulle; Muhammad Bambang Firdaus; Anton Prafanto; Faza Alameka
METIK JURNAL Vol 6 No 1 (2022): METIK Jurnal
Publisher : LPPM Universitas Mulia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47002/metik.v6i1.333

Abstract

Indonesian Batik has been designated as a Humanitarian Heritage for Oral and Intangible Culture by UNESCO since October 2, 2009. Although Batik is well known to the Indonesian people, many people are unfamiliar with batik motifs from the region. One of them is the East Kalimantan Dayak Batik motif. The introduction of information media has followed the development of existing technology. One of them is the introduction of media by utilizing AR technology. Augmented Reality (AR) is a technology that allows computers to display virtual objects precisely on natural objects in real-time. Introducing the East Kalimantan Dayak Batik Motif using Augmented Reality technology is expected to be a more interactive alternative for introducing Indonesian culture, especially in East Kalimantan. The results show that the Augmented Reality (AR) application for the East Kalimantan Dayak Batik motif has been successfully designed and built using the Vuforia SDK, Blender, and Unity3D software. Testing Distance, occlusion, and light intensity are very influential in detecting markers.
IMPLEMENTASI DATA MINING UNTUK MEMPREDIKSI PENJUALAN DAN PENEMPATAN STOK BARANG PADA CV PASTI JAYA HOUSEWARE DENGAN MENGGUNAKAN ALGORITMA APRIORI Sry Tualeka; Faza Alameka; Nariza Wanti Wulan Sari
PROSIDING SEMINASTIKA Vol 3 No 1 (2021): 3rd SEMINASTIKA 2021
Publisher : Universitas Mulia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47002/seminastika.v3i1.258

Abstract

CV Pasti Jaya Houseware memiliki produk utama seperti kompor, magic com, kipas angin, panci, piring, gelas dan alat rumah tangga lainnya dimana toko ini setiap harinya harus memenuhi kebutuhan konsumen. Masalah yang terjadi pada CV Pasti Jaya Houseware adalah sulitnya mengetahui kecenderungan atau pola belanja pembeli terhadap produk-produk yang ada di CV Pasti Jaya Houseware. Menganalisis penjualan dan penempatan stok barang juga menjadi salah satu strategi penjualan yang dibutuhkan. Metode yang digunakan untuk mengatasi masalah tersebut adalah menggunakan teknik penambangan data atau yang disebut data mining. Data mining merupakan suatu proses pengerukan atau pengumpulan informasi penting dari suatu data yang besar. Salah satu fungsi data mining adalah analisis asosiasi. Asosiasi mempunyai algoritma apriori untuk mencari hasil yang dibutuhkan. Hasil dari penelitian ini adalah produk piring memiliki keterkaitan yang cukup kuat dengan gelas dibandingkan barang lain yaitu dengan nilai support 60% dan confidence 100%. Barang-barang yang memiliki nilai confidence yang lebih tinggi akan diletakkan bersebelahan karena dengan tingginya nilai confidence antar kedua barang lebih memiliki kesempatan dibeli bersamaan yang tinggi juga.
Identifikasi Senjata Tradisional Mandau Suku Dayak Menggunakan Metode Support Vector Machine Masna Wati; Delvina Dwiani Samjar; Haviluddin Haviluddin; Faza Alameka
METIK JURNAL Vol 6 No 1 (2022): METIK Jurnal
Publisher : LPPM Universitas Mulia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47002/metik.v6i1.341

Abstract

Mandau is a sharp weapon like a machete that comes from the culture of the Dayak tribe in Kalimantan. Mandau itself has many types of carvings with different motifs in each typical Dayak tribe. The diversity of Dayak clumps and sub-tribes produces various types of Mandau, which are similar. Most Indonesians cannot distinguish between the existing variety of Mandau because of the information lack about Mandau. The study aims to identify Mandau types by applying Support Vector Machine (SVM) methods according to shape and texture feature extraction of image Mandau. Process of feature extraction using eccentricity, metric, contrast, correlation, energy, and homogeneity parameters. Six parameters obtained from the image feature extraction were used for the classification process. There are four kind of Mandau that used, such as Mandau Benuaq, Mandau Kenyah, Mandau Mahah, and Mandau Tunjung, with each Mandau 24 images, and the total data is 96. The implementation of the SVM method in identifying the type of Mandau using Linear Kernel, Gaussian / RBF Kernel, and Polynomial Kernel. The results indicated that when SVMs were used to identify Mandau images in split data, 80% of the training and 20% of the test data had the highest average accuracy of 82%. Based on the type of Kernel at 80:20 data split, the identification of the Mandau image using the Polynomial Kernel has the highest accuracy rate of 95%.
The Clustering Tindak Kekerasan Dalam Rumah Tangga Di Kota Samarinda Menggunakan Algoritma K-Means Roni Stepanus Ginting; Hamdani Hamdani; Anindita Septiariani; Faza Alameka
METIK JURNAL Vol 6 No 2 (2022): METIK Jurnal
Publisher : LPPM Universitas Mulia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47002/metik.v6i2.378

Abstract

Peran Kepolisian Resort Samarinda dalam membantu keamanan dan penegakan hukum sesuai dengan Pasal 5 Undang-Undang No. 23 Tahun 2004 dapat menggunakan data kdrt untuk clustering tingkat kdrt berdasarkan tinggi, sedang dan rendah. Clustering atau mengelompokkan data dapat dilakukan dengan menerapkan algoritma K-Means. Penerapan algoritma ini menggunakan 3 metode perhitungan jarak yaitu, Euclidean Distance, Minkowski Distance dan Manhattan Distance Dan hasil perhitungan algoritma kmeans dengan menggunakan Euclidean Distance Mendapatkan 2 Cluster di C1,9 cluster di C2 dan 1 cluster di C3,Selanjutnya menggunakan Manhattan Distance Dan hasil yang di dapat yaitu 3 Cluster di C1, 8 cluster di C2 dan 1 cluster di C3 dan yang terakhir Menggunakan , Minkowski Distance Distance Mendapatkan 2 Cluster di C1,9 cluster di C2 dan 1 cluster di C3. Penggunaan 3 metode ini dimaksudkan untuk mengetahui perhitungan jarak yang lebih ideal untuk digunakan. Selain menggunakan metode perhitungan jarak, digunakan juga metode pengukuran jarak yaitu SSE (Sum of Squared Errors) dan ketiga metode perhitungan tersebut mendapatkan hasil SSE (Sum of Squared Errors) nya sebagai berikut.Euclidean Distance=1,2535, Minkowski Distance=1,2418 dan Manhattan Distance=5,7154.
SISTEM PENDUKUNG KEPUTUSAN PENENTUAN KEGIATAN EKSTRAKURIKULER MENGGUNAKAN METODE AHP Faza Alameka; Fahrullah Fahrullah; Thalita Emilia Islami Sukoco
PROSIDING SEMINASTIKA Vol 4 No 1 (2022): 4th SEMINASTIKA 2022
Publisher : Universitas Mulia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47002/seminastika.v4i1.396

Abstract

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SISTEM TRACKING SERVICE PRINTER DAN KOMPUTER BERBASIS WEB PADA TOKO LIDATA COMPUTER Riyayatsyah Riyayatsyah; Faza Alameka; Helmi Helmi
PROSIDING SEMINASTIKA Vol 4 No 1 (2022): 4th SEMINASTIKA 2022
Publisher : Universitas Mulia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47002/seminastika.v4i1.397

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SISTEM INFORMASI PENYEWAAN LAPANGAN BULUTANGKIS SURYA ALAM DENGAN METODE RAPID APPLICATION DEVELOPMENT BERBASIS WEBSITE Faza Alameka; Riyayatsyah Riyayatsyah; Muhammad Fahmi
PROSIDING SEMINASTIKA Vol 4 No 1 (2022): 4th SEMINASTIKA 2022
Publisher : Universitas Mulia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47002/seminastika.v4i1.398

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ANALISIS PENERIMAAN APLIKASI JENIUS PADA BTPN SYARIAH DI SAMARINDA MENGGUNAKAN TECHNOLOGY ACCEPTANCE MODELS Faza Alameka; Nariza Wanti Wulan Sari; Fanny Pratiwi
PROSIDING SEMINASTIKA Vol 4 No 1 (2022): 4th SEMINASTIKA 2022
Publisher : Universitas Mulia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47002/seminastika.v4i1.399

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APLIKASI EDUKASI PENGENALAN TANAMAN HUTAN BERKHASIAT OBAT BERBASIS AUGMENTED REALITY Siti Rahmawati; Faza Alameka; Riyayatsyah Riyayatsyah
PROSIDING SEMINASTIKA Vol 4 No 1 (2022): 4th SEMINASTIKA 2022
Publisher : Universitas Mulia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47002/seminastika.v4i1.400

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Co-Authors Abdul Rahim Ali Jati Anam, M Khairul Andre Ardin Maulana Anindita Septiariani Anton Prafanto Arif Wirawan Muhammad Audy Nabila Caroline Dedy Mirwansyah Delvina Dwiani Samjar Fadilla Zundina Ulya Fahrullah, Fahrullah Fanny Pratiwi Haerullah Haerullah Hamdani Hamdani Happy Gery Pangestu Haviluddin Haviluddin Helmi Helmi Herullah Haerullah Indra Wahyudi M Ardan Muhammad Bambang Firdaus Muhammad Fahmi Muhammad Nur Ihwan Nariza Wanti Wulan Sari Nurhasanah Nurhasanah Puspitasari, Novianti Renol Sulle Reza Andrea Rifaldo Yohannes Sinaga Riyayatsyah Roni Stepanus Ginting Rosmasari Rosmasari Siti Rahmawati Sry Tualeka Tejawati, Andi Thalita Emilia Islami Sukoco Tina Tri Wulansari Ummi Athiyah Wati, Masna Widians, Joan Angelina