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OPTIMIZATION THE COMBINED INTAKE OF SUGAR-SALT-FAT USING GENETICH ALGORITHM Marpaung, Preddy; Sitio, Arjon Samuel; Sinaga, Anita Sindar RM
SinkrOn Vol 4 No 2 (2020): SinkrOn Volume 4 Number 2, April 2020
Publisher : Politeknik Ganesha Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33395/sinkron.v4i2.10531

Abstract

Salt sugar and fat intake in the human body in daily food patterns. To avoid non-communicable diseases, it is necessary to optimize food intake levels. Productive age, in this case between 15-55 years have uncontrolled eating patterns to choose fast food. If this is not monitored, it will cause various diseases. The importance of evolutionary algorithms for solving complex problems that are difficult to solve analytically can use mathematical models. The purpose of this study is to determine the composition of the ideal intake for productive generations with a minimum cost that must meet the minimum threshold for each nutritional component. Based on the mathematical model built, an analysis is carried out to find the optimal solution. Optimization is an effort or activity to get the best results with the given requirements. There are 5 main components in the Genetic Algorithm, namely Fitness, Value, Selection, Crossover, and Mutation. The results showed optimization of the intake of selected chromosomes as the best results, obtained on chromosome offSpring: 10, Fitness value: 12737.34.
Color-based Segmentation of Batik Using the L*a*b Color Space Sinaga, Anita Sindar RM
Sinkron : Jurnal dan Penelitian Teknik Informatika Vol 3 No 2 (2019): SinkrOn Volume 3 Number 2, April 2019
Publisher : Politeknik Ganesha Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (817.337 KB) | DOI: 10.33395/sinkron.v3i2.10102

Abstract

Indonesian Batik has a variety of styles. Coloring techniques affect the color quality of batik. Color is very important to show staining breakthroughs. The colors R (Red) G (Green) and B (Blue) have a close color correlation level so that it is difficult to segment. Segmentation is the process of partitioning digital images into several segments. The segmentation process is carried out on 15 batik sample data. The first step, each sample is converted from RGB - XYZ - Lab color. The average ratio of Red, Green and Blue on the RGB color and XYZ color 1:10. Segmentation using L*a*b color, displays the composition of the sample data colors into six clusters: background, yellow, magenta, purple, red and green using the clustering method. This proposed work L*a*b color space is selected which is a homogeneous space for visual perception.
bayes Diagnosa Penyakit Ikan Hias Air Tawar Dengan Teorema Bayes Sinaga, Anita Sindar RM
Sinkron : Jurnal dan Penelitian Teknik Informatika Vol 3 No 1 (2018): SinkrOn Volume 3 Nomor 1, Periode Oktober 2018
Publisher : Politeknik Ganesha Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1188.957 KB)

Abstract

Seekor ikan bila terserang suatu penyakit akan menunjukkan perubahan fisik, tampak dari gejala-gejala yang muncul. Dari gejala yang kelihatan dapat diketahui jenis penyakit ikan dan segera dilakukan tahap pengobatan agar tidak terjadi kerugian besar. Diagnosa merupakan tahap awal untuk mengetahui gejala-gejala dari suatu jenis penyakit ikan hias agar secara awal dapat mengatasi penyakit tersebut. Tujuan diagnosa menggunakan Teorema Bayes yaitu membantu masyarakat/orang awam mengerjakan pekerjaan para ahli untuk mendiagnosa penyakit ikan hias berbasdengan mudah, cepat dan prosesnya dapat dilakukan secara berulang secara otomatis. Rancangan perangkat lunak yang memiliki basis pengetahuan untuk domain tertentu dan menggunakan penalaran inferensi menyerupai seorang pakar dalam memecahkan suatu permasalahan. Dalam rancangan sistem pakar yang dibangun, ditetapkan gejala-gejala penyakit terdiri dari kode P001 sampai P0016, digunakan sebagai acuan untuk mendiagnosa penyakit. Kode gejala: G1 sampai G31, merupakan jenis gejala yang muncul. Form Data Konsultasi digunakan untuk menghitung gejala yang dipilih dengan menggunakan algoritma Teorema Bayes nantinya akan menghasilkan hasil diagnosa penyakit dan penanganannya. Berdasarkan gejala klinis dan diagnosa sementara penyebab ikan sakit adalah jamur, bakteri dan virus. Pada tahap pengujian, dilakukan uji coba terhadap aplikasi Sistem Pakar dengan Teorema Bayes yang telah dibangun. akan dicari hasil diagnosa dan persentase kemungkinan dari penyakit pada ikan hias dengan menggunakan perhitungan berdasarkan gejala yang dialami ikan. Setelah gejala dicentang sesuai dengan studi kasus, user mengklik tombol diagnosa dan selanjutnya akan tampil hasil diagnosa. Keywords—gejala; diagnosa; penyakit:, ikan hias air tawar; Teorema Bayes
Diagnosa Penyakit Fibroadenoma Mammae Menggunakan Metode Certainty Factor Dengan Penelusuran Forward Chaining Antonius, Roni; Simangunsong, Agustina; Sinaga, Anita Sindar RM
Jurnal ICT : Information Communication & Technology Vol 18, No 2 (2019): JICT-IKMI, Desember 2019
Publisher : STMIK IKMI Cirebon

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36054/jict-ikmi.v18i2.68

Abstract

Mammae Fibroadenoma Disease (FAM) is a benign neoplasm that has dense and capsule features. Is the most common type of breast disease. Usually attacks women under 25 years. In this study detection of Fibroadenoma Mammae (FAM) was carried out using the Forward Chaining method. Aims to detect early FAM disease. To prove a certain or uncertain event. The CF hypothesis is influenced by evidence. CF part of the Expert System is suitable for diagnosing something that is uncertain. The CF method can only process 2 weights in one calculation. There are no rules for combining weights, because for any combination the results will remain the same. In the expert system application design method Forward Chaining, CF (H, E) the value of certainty given by experts to a rule, while CF (E, e) is the value of trust given by the user to the symptoms experienced.
SISTEM PAKAR MENENTUKAN JENIS GANGGUAN PERKEMBANGAN ANAK MENGGUNAKAN METODE CERTAINTY FACTOR Waruwu, Resana Triani; Sinaga, Anita Sindar RM
ScientiCO : Computer Science and Informatics Journal Vol 2, No 2 (2019): Scientico : November
Publisher : Fakultas Teknik, Universitas Tadulako

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Abstract

The age of the child until the age of 10 years is a period of children can absorb and learn all the information obtained quickly. Children developmental disorders can be seen from the way they behave, interact and from daily communication. System analysis activities to observe certain and uncertain events, then document the needs that will be met in the new system. The system that is built is capable of performing calculations for diagnosing disorders in child development using the certainty factor method. The system displays the results of the diagnosis of child development, presentation of the level of confidence in the results of the diagnosis and can display control of the types of developmental disorders in children. Users who have been identified who can use this expert system are general users, users who can diagnose a child's developmental disorders and can see the results of the diagnosis.
Implementasi Steganografi LSB Dengan Enkripsi Vigenere Cipher Pada Citra Laila, Niria; Sinaga, Anita Sindar RM
ScientiCO : Computer Science and Informatics Journal Vol 1, No 2 (2018): Scientico : November
Publisher : Fakultas Teknik, Universitas Tadulako

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Abstract

Message encoding is an art and science to maintain news or data, learn mathematical techniques related to aspects of information security such as data confidentiality, data validity, data integrity, and data authentication. The process of encoding and inserting messages with the Vigenere Cipher and LSB methods is the first step in inputting text and keyword files, then text files and keywords are converted into decimal numbers, then processed according to the Vigenere Cipher formula, the ciphertext is then transformed into binary form it is inserted into the image by means of each bit of the ciphertext in the last bit of the image, so it is expected that the data sent is not easy to read by third parties. The vigenere cipher algorithm and the LSB (Last Significant Bit) technique can be used as a solution for the security of secret messages that are inserted into the image, can be re-revealed exactly the same as the original form and do not experience the slightest damage.
PENGENALAN PEMROGRAMAN WEB PADA KARANG TARUNA PEMUDA PEMUDI SEJATI GUNA MENGEMBANGKAN SKILL IT HANDAL Sinaga, Anita Sindar RM; Marbun, Murni; Sitio, Arjon Samuel
JMM (Jurnal Masyarakat Mandiri) Vol 5, No 4 (2021): Agustus
Publisher : Universitas Muhammadiyah Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (31.837 KB) | DOI: 10.31764/jmm.v5i4.4850

Abstract

Abstrak: Pemograman dapat dipelajari siapa saja dan kapanpun tidak harus belajar formal. Organisasi kepemudaan seperti Karang Taruna Pemuda Pemudi Sejati Desa Jambur Pulau, merupakan sekumpulan pemuda yang tertarik berorganisasi mempunyai program kerja jangka pendek dan jangka panjang. Karang taruna ini terbuka untuk pembelajaran yang memberikan manfaat terhadap  individu maupun organisasi. Beberapa tahun terakhir anggota Karang Taruna Pemuda Pemudi Sejati juga menghasilkan handmade yang menarik terbuat dari bambu. Kreativitas anggota karang taruna ini telah menghasilkan uang melalui pemasaran lokal. Teknologi mendorong pelaku kreativitas menggunakan digitalisasi sebagai peningkatan pemasaran, ini memotivasi pemuda pemudi menguasai skill yang berkaitan dengan sistem informasi. Setelah mengikuti pelatihan ini para peserta berjumlah 10 orang mampu membuat website pribadi atau swasta menggunakan MySQL. Pelatihan dilakukan secara daring dan luring dengan efisiensi waktu 20 hari selama sebulan bertujuan merancang sistem informasi pemasaran handmade bambu berbasis web. Abstract:  Programming can be learned by anyone and at any time without having to be formally studied. Karang Taruna Pemuda Pemudi Sejati, Desa Jambur Pulau, are a group of young people who are interested in organizing and having short-term and long-term work programs. This organization is open to learning that benefits individuals and organizations. In the last few years, members of the have also produced attractive handmade items made of bamboo. The creativity of these youth members has made money through local marketing. Technology encourages creative actors to use digitalization as a marketing improvement, this encourages young people to master skills related to information systems. After participating in this training, 10 participants were able to create a personal or private website using MySQL. The training is conducted online and offline with time efficiency of 20 days for a month. The training is intended for youth members who want to develop programming skills so that they are able to develop web-based management information system applications.
IMPLEMENTASI METODE REGRESI LINIER BERGANDA UNTUK MEMPREDIKSI KINERJA KARYAWAN PT. TIMBANG DELI Sinaga, Anita Sindar RM
ScientiCO : Computer Science and Informatics Journal Vol 4, No 2 (2021): Scientico : November
Publisher : Fakultas Teknik, Universitas Tadulako

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Abstract

PT. Timbang Deli is a company engaged in the management of oil palm plantations. The productivity of a company is highly dependent on the implementation of the duties and responsibilities of each employee. Prediction of employee performance aims to increase the effectiveness of the division of tasks that affect employee rewards. The analysis stage of the system is built in the first stage of analysis for defining requirements. The second stage is designing a graphic interface for the display of each requirement. In the third stage, all application support functions such as access rights, employee data input, and graphical interfaces are integrated into a complete set of program codes. The prediction system is built based on the web using the Multiple Linear Regression method with the variables Punctuality (X1), Target Achievement (X2), Task Implementation (X3), Teamwork (X4), Responsibility (X5). Prediction results show the percentage of each employee's performance.