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WATERMARKING TECHNIQUES USING LEAST SIGNIFICANT BIT ALGORITHM FOR DIGITAL IMAGE SECURITY STANDARD SOLUTION- BASED ANDROID Muzakir, Ari; Habibi, Mailan
Scientific Journal of Informatics Vol 4, No 1 (2017): May 2017
Publisher : Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/sji.v4i1.7290

Abstract

Ease of deployment of digital image through the internet has positive and negative sides, especially for owners of the original digital image. The positive side of the ease of rapid deployment is the owner of that image deploys digital image files to various sites in the world address. While the downside is that if there is no copyright that serves as protector of the image it will be very easily recognized ownership by other parties. Watermarking is one solution to protect the copyright and know the results of the digital image. With Digital Image Watermarking, copyright resulting digital image will be protected through the insertion of additional information such as owner information and the authenticity of the digital image. The least significant bit (LSB) is one of the algorithm is simple and easy to understand. The results of the simulations carried out using android smartphone shows that the LSB watermarking technique is not able to be seen by naked human eye, meaning there is no significant difference in the image of the original files with images that have been inserted watermarking. The resulting image has dimensions of 640x480 with a bit depth of 32 bits. In addition, to determine the function of the ability of the device (smartphone) in processing the image using this application used black box testing.
MARKET BASKET ANALYSIS (MBA) PADA SITUS WEB E-COMMERCE ZAKIYAH COLLECTION Muzakir, Ari; Adha, Laili
Simetris: Jurnal Teknik Mesin, Elektro dan Ilmu Komputer Vol 7, No 2 (2016): JURNAL SIMETRIS VOLUME 7 NO 2 TAHUN 2016
Publisher : Universitas Muria Kudus

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (421.173 KB) | DOI: 10.24176/simet.v7i2.755

Abstract

E-commerce menghubungkan antara produsen dengan produsen, produsen dengan konsumen, konsumen dengan produsen, konsumen dengan konsumen. Untuk mengimplementasi e-commerce dalam mendukung bisnis organisasi perlu di perhatikan 5 komponen utama yaitu ; pengembangan produk, promosi, transaksi online, product delivery dan after sales support. Hal ini yang tengah diterapkan pada Zakiyah Collection. Zakiyah Collection bergerak dibidang penjualan aneka macam kain khas Palembang seperti songket, blongket,tanjung, dan lain sebagainya. Untuk melakukan analisis terhadap pangsa pasar yang ada agar dapat bersaing dengan toko online lainnya dilakukan dengan strategi pemasaran dengan menggunakan pendekatan market basket analysis (MBA). MBA merupakan salah satu teknik dari data mining yang digunakan untuk menentukan produk-produk manakah yang akan dibeli oleh pelanggan secara bersamaan dengan melakukan analisa terhadap daftar transaksi pelanggan. Dengan mengetahui produk-produk tersebut, maka sebuah sistem e-commerce dapat membuat maupun mengembangkan sebuah sistem customer profiles dan dapat menentukan layout katalog pelanggannya sendiri. Model pengembangan sistem yang dilakukan menggunakan prototype dimana pelanggan dan pengguna akan dilibatkan secara langsung dalam proses ini. Hasil akhir dalam penelitian ini adalah berupa analisis data transaksi menggunakan market basket analysis dengan dilakukan 4 kali kombinasi produk yang berdasarkan nilai support x confidence terbesar dengan hasil berupa angka-angka kemungkinan transasksi yang berkaitan dengan produk yang dijual. Jika dengan menggunakan 1 kali kombinasi, maka didapatkan blongket dengan nilai support sebesar 0.5625. Jika dilakukan 2 kali kombinasi diperoleh kombinasi blongket dan songket dengan nilai support 0.375. Kata kunci: e-commerce, market basket analysis, association rules.
Model for Identification and Prediction of Leaf Patterns: Preliminary Study for Improvement Muzakir, Ari; Ependi, Usman
Scientific Journal of Informatics Vol 8, No 2 (2021): November 2021
Publisher : Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/sji.v8i2.30024

Abstract

Purpose: Many studies have conducted studies related to automation for image-based plant species identification recently. Types of plants, in general, can be identified by looking at the shape of the leaves, colors, stems, flowers, and others. Not everyone can immediately recognize the types of plants scattered around the environment. In Indonesia, herbal plants thrive and are abundantly found and used as a concoction of traditional medicine known for its medicinal properties from generation to generation. In the current Z-generation era, children lack an understanding of the types of plants that benefit life. This study identifies and predicts the pattern of the leaf shape of herbal plants. Methods: The dataset used in this study used 15 types of herbal plants with 30 leaf data for each plant to obtain 450 data used. The extraction process uses the GLCM algorithm, and classification uses the K-NN algorithm. Result: The results carried out through the testing process in this study showed that the accuracy rate of the leaf pattern prediction process was 74% of the total 15 types of plants used. Value: Process of identifying and predicting leaf patterns of herbal plants can be applied using the K-NN classification algorithm combined with GLCM with the level of accuracy obtained.
Push-Up Detector Applications Using Quality Function Development and Anthropometry for Movement Error Detection Muzakir, Ari; Kusmindari, Christofora Desi
Scientific Journal of Informatics Vol 5, No 2 (2018): November 2018
Publisher : Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/sji.v5i2.16332

Abstract

Push-up is the simplest and most widely performed sport. Although simple, it also has a high risk of injury risk if done not in accordance with the rules. Push-up detector is a good push-up motion monitoring solution. In this way, nonstandard movements can be detected and corrected immediately. It has two motion sensors integrated with Arduino-based microcontroller. From this detector tool got the data of push-up result from sensor mounted. Sensor data will be displayed in the application in real-time. Quality function development is used to determine the criteria of the user. The sample data involved 200 participants who followed the testing of this tool and got 90% who can do the push-up correctly. Factors that affect the height, age, and weight. Tests conducted on adolescent boys aged 18-23 years. The results of this study is an application capable of monitoring each push-up movement to position in accordance with the provisions to minimize injuries resulting from movement errors.
Model Data Mining sebagai Prediksi Penyakit Hipertensi Kehamilan dengan Teknik Decision Tree Muzakir, Ari; Wulandari, Rika Anisa
Scientific Journal of Informatics Vol 3, No 1 (2016): May 2016
Publisher : Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/sji.v3i1.4610

Abstract

Prevalensi hipertensi pada wanita hamil terjadi sebanyak 1.062 kasus (12,7%). Dari 1062 kasus ibu hamil dengan hipertensi, ditemukan 125 kasus (11,8%) yang telah didiagnosis dengan hipertensi oleh tenaga kesehatan. RSIA YK Madira Palembang sebagai pusat kesehatan harus mengembangkan metode yang dapat memprediksi risiko tinggi ibu hamil dengan hipertensi dari data hasil pemeriksaan kehamilan. Dengan memanfaatkan sumber data yang terdiri dari data perawatan antenatal, diterapkan teknik data mining dengan algoritma decision tree C4.5, berdasarkan Knowledge Discovery in Database (KDD). Sehingga akan ditemukan pengetahuan, informasi, dan pola tersembunyi dari data pelayanan antenatal, yang merupakan prediksi hipertensi pada kehamilan. Metode yang digunakan yaitu Algoritma C4.5. Setelah mendapatkan decision tree dan rules yang dapat memprediksi penyakit hipertensi dalam kehamilan, dilakukan evaluasi dengan supplied test set menggunakan WEKA dihasilkan kesalahan (error) 7.3427% dan tingkat akurasi 92.6573%. Data training yang berjumlah 286 instances, hal ini menunjukkan bahwa terdapat 265 instances yang akurat dan 21 instances yang error atau prediksinya salah. 
Watermarking Techniques Using Least Significant Bit Algorithm for Digital Image Security Standard Solution- Based Android Muzakir, Ari; Habibi, Mailan
Scientific Journal of Informatics Vol 4, No 1 (2017): May 2017
Publisher : Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/sji.v4i1.7290

Abstract

Ease of deployment of digital image through the internet has positive and negative sides, especially for owners of the original digital image. The positive side of the ease of rapid deployment is the owner of that image deploys digital image files to various sites in the world address. While the downside is that if there is no copyright that serves as protector of the image it will be very easily recognized ownership by other parties. Watermarking is one solution to protect the copyright and know the results of the digital image. With Digital Image Watermarking, copyright resulting digital image will be protected through the insertion of additional information such as owner information and the authenticity of the digital image. The least significant bit (LSB) is one of the algorithm is simple and easy to understand. The results of the simulations carried out using android smartphone shows that the LSB watermarking technique is not able to be seen by naked human eye, meaning there is no significant difference in the image of the original files with images that have been inserted watermarking. The resulting image has dimensions of 640x480 with a bit depth of 32 bits. In addition, to determine the function of the ability of the device (smartphone) in processing the image using this application used black box testing. 
Model Pedukung Keputusan Dengan Metode Analitycal Hierarchy Process: Studi Kasus Proses Bongkar Muatan Barang Kapal Ari Muzakir
Journal of Computer and Information Systems Ampera Vol. 2 No. 2 (2021): Journal of Computer and Information Systems Ampera
Publisher : APTIKOM SUMSEL

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51519/journalcisa.v2i2.75

Abstract

As a center for leaning ships, the Port is a center that plays an important role as a facility that can connect one island to another in trading activities. In this study emphasizes the final goal of (1) determining the factors used as criteria for determining the right and optimal loading decisions, (2) calculating the priority weights of the decision criteria, (3) determining priority weights, (4) obtaining a design that best in priority ship unloading. In this study we use hierarchical based analysis methods or commonly called Analytical hierarchy process (AHP). This method performs pairwise comparisons between criteria and sub criteria by producing a criteria value matrix and produces consistent information each factor from the sub-criteria assessed where the CR <0.1. The results of the scores for each 3 respondents are where the arrival time of the ship scores a total of 17.46 with the highest score, the type of load total score of 11.89, the type of ship the total score is 6.61 and the total loading score of 3.05.
Perangkat Lunak Pencarian Apotek Menggunakan Metode Item Based Collaborative Filltering Dan Algoritma Floyd Warshall Ari Muzakir; R.M Nasrul Halim; Andri Wijaya
Journal of Software Engineering Ampera Vol. 1 No. 3 (2020): Journal of Software Engineering Ampera
Publisher : APTIKOM SUMSEL

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51519/journalsea.v1i3.50

Abstract

Pharmacy is a health service that is very important for the community, this means that this is very much related to public health. To facilitate the community in finding the right and fast pharmacy with the best recommendations and shortest routes and several alternatives to the location of the pharmacy. This study aims to create software that makes it easier for people to find pharmacies based on alternative routes and other information related to the pharmacy located in the city of Palembang. This software uses the Floyd Warshall Algorithm as the shortest path algorithm and the Item-based collaborative filtering method for selecting items based on the rating given by the user. The system development method used is the prototype method. This research produces pharmacy location search software with alternative routes along with general information related to the pharmacy
Evaluasi User Experience Menggunakan Pendekatan Heuristic Pada Sistem Informasi Akademik Universitas Bina Darma Palembang Ledy Armyoktora; Ari Muzakir
Journal of Software Engineering Ampera Vol. 2 No. 3 (2021): Journal of Software Engineering Ampera
Publisher : APTIKOM SUMSEL

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51519/journalsea.v2i3.122

Abstract

The Academic of Information System has been implemented at Bina Darma Unversity Palembang for a long time.  The Academic of Information System is a web-based system facility that contains profiles and developments of student academic activities. The purpose of this study to evaluate sisfo to measure user perceptions and determine user satisfaction with Sisfo using a Heuristic Evaluation approach. From 39 questionnaire statements filled out by 98 respondents, it was found that Sisfo was in good condition and did not require repairs.
Perangkat Lunak Koreksi Penggunaan Sumberkutipan Dan Daftar Pustaka Pada Jurnal Mahasiswa Idrus Salim; Ari Muzakir; Hadi Syaputra
Jurnal Pengembangan Sistem Informasi dan Informatika Vol. 1 No. 2 (2020): Jurnal Pengembangan Sistem Informasi & Informatika
Publisher : Training & Research Institute - Jeramba Ilmu Sukses

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47747/jpsii.v1i2.169

Abstract

Sumber kutipan dan daftar pustaka adalah suatu hal yang sangat penting dalam pembuatan jurnal tujuannya sebagai pengokohan argumentasi dalam sebuah karangan. Apalagi dalam penyusunan karya ilmiah, hal ini sebabkan adanya data dan informasi yang ada di dalamnya digunakan sebagai acuan untuk penelitian atau pengkajian selanjutnya bagi ilmuan lainnya. Hal itu tentu saja menimbulkan beberapa masalah seperti kesalahan pada sumber kutipan dan daftar pustaka yang tidak sinkron, control dan pengecekan sumber kutipan dan daftar pustaka yang baik dan benar jika dilakukan secara manual pasti akan menghabiskan banyak waktu. Untuk permasalahan itu munculah ide untuk membuat perangkat lunak koreksi sumber kutipan dan daftar pustaka pada jurnal. Metode yang digunakan untuk mengkoreksi kesalahan pada sumber kutipan dan daftra pustaka yaitu regular expression (REGEX), sebuah formula untuk pencarian pola suatu kaliamat/string dan sangatlah membantu dalam menemukan pola-pola kalimat. Dari hasil program tersebut system akan secara otomatis mengkoreksi sumber kutipan dan daftar pustaka pada jurnal sehingga dapat memudahkan editor dalam mengkoreksi, sehingga tidak terjadi lagi kesalahan pada sumber kutipan dan daftar pustaka pada jurnal.