Garuda - Garba Rujukan Digital

KLASTERISASI NILAI CITRA RGB BUAH PEPAYA MADU BERDASARKAN MUTU BUAH MENGGUNAKAN FUZZY C-MEANS (FCM) CLUSTERING Sila Abdullah Syakry; Mulyadi Mulyadi; Zulfan Khairil Simbolon
TECHSI - Jurnal Teknik Informatika Vol 7, No 2 (2015)
Publisher : Teknik Informatika Universitas Malikussaleh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29103/techsi.v7i2.199

Proses pengenalan dan penentuan serta klasifikasi hasil pertanian pasca panen secara langsung memiliki peran yang sangat penting dalam teknologi pertanian. Hal ini juga yang menjadi masalah ketika pasca panen, baik dalam hal penyortiran untuk tingkat kematangan. Bertitik tolak pada kasus tersebut, maka dilakukan penelitian tentang klasifikasi mutu buah berdasarkan nilai piksel. Sistem Klasterisasi Nilai RGB Dengan Menggunakan Metode Fuzzy C-Means Klastering (Studi Kasus : RGB Data Citra Buah Pepaya Calina). langkah yang dilakukan untuk menerapkan metode yang digunakan adalah sebagai berikut: Pertama, tentukan dahulu berapa banyak klaster yang ingin dibangun. kedua Mencari dimana pusat klaster setiap data Ketiga, melakukan pengukuran antara Nilai RGB Yang terdekat dengan Metode Fuzzy C-Means Klastering. Hasil penelitian ini mampu mengklaterisasi citra buah pepaya callina dengan baik sesuai dengan nilai untuk kondisi matang mentah RGB yakni R=24.6697, GB=16.6703 dengan fungsi nilainya 358.783473

IDENTIFIKASI GOLONGAN DARAH SISTEM ABO MENGGUNAKAN K-NEAREST NEIGHBORS Mulyadi
Jurnal Informatika dan Teknologi Komputer (J-ICOM) Vol 1 No 1 (2020): Jurnal Informatika dan Teknologi Komputer (JICOM)
Publisher : E-Jurnal Universitas Samudra

Show Abstract | Download Original | Original Source | Check in Google Scholar

Identification of blood groups by looking at blood clots that have been given reagents is mostly done manually based on direct visual observations on blood that has been dripped with reagents and then determines blood groups based on the clotting of each reagent, where the level of saturation of the eye can affect the results of observations made and the community the general public also does not respect the resemblance. To overcome this problem, an application is made to find blood types using the K-nearest Neighbors method which can work automatically. KNN is a method that classifies new objects based on the training data that is closest to the object, where the distance calculation uses Euclidean Distance. This system is used to identify blood groups A, B, AB and 0. In this study, the system was tested using 80 training data for blood group images which were divided into 20 images for each group A, B, AB and blood group 0. test as many as 40 images consisting of 10 test data for each blood group A, B, AB and blood group 0. The test results for the accuracy of the test on each blood group is A 70%, blood group B 80%, blood type AB 100% and blood group 0 100%. So it can increase the success of the system by 85%.

PENGENALAN WAJAH DENGAN BANYAK POSISI (MANY POSITIONS) MENGGUNAKAN ALGORITMA FISHER LINEAR DISCRIMINANT (FLD) Mulyadi
Jurnal Informatika dan Teknologi Komputer (J-ICOM) Vol 1 No 2 (2020): Jurnal Informatika dan Teknologi Komputer (JICOM)
Publisher : E-Jurnal Universitas Samudra

Show Abstract | Download Original | Original Source | Check in Google Scholar

The face is one of the characteristics that can determine a person's identity, because each individual has a different face. Face recognition technology is highly developed today, which has been widely used systems based on face recognition. The main issue that arises is change in the position where it will affect the system in detecting the presence of a face which will also affect the system at the next stage of face recognition. Based on this background, it created a system that is able to recognize a person's identity in the form of a face name is entered with a variety of positions. In this research method used is Fisher Linear Discriminant (FLD). FLD can be used to recognize faces with a variety of positions. This study was able to detect and recognize faces with five different positions. The position of the recognized ie perpendicular to the position of 0 °, 1-25 ° turn to the right, looked left 1-25 °, 1-25 ° 1-25 ° looked up and down with the distances are 50 cm, 60 cm, 70 cm, 80 cm, 90 cm and 100 cm. In this test, the face image is tested by 300 overall face to face data 254 works and 46 face data were not successful. From these data, then get the success percentage of 84.67%.

Sistem Pakar Dalam Diagnosa Penyakit Pada Tanaman Mulyadi; Dyan Wahyuni
Jurnal Tika Vol 7 No 1 (2022): Jurnal Teknik Informatika Aceh
Publisher : Fakultas Ilmu Komputer Universitas Almuslim Bireuen - Aceh

Diseases and pests cannot be distinguished from the secondary crops that farmers encounter. To overcome this. Farmers have to rely on improvised expertise and information from others, which is ineffective due to the scarcity of experts in secondary crops. An expert system is a solution to the limitations of an expert in his profession. The forward chaining method is used in this expert system and website-based applications. Users who need information or counseling about diseases and pests that affect secondary crops can access this expert system online. The expert system will diagnose signs to which application users will respond and will produce conclusions and treatments for diseases and pests that affect secondary crops. Furthermore, the decline in the level of crop production, especially for secondary crops, is caused by disease attacks. In addition, the delay in handling due to the lack of experts also affects the decrease in the level of crop production. So we need an expert system in decision making. The results of this study can be used as a tool to identify 42 types of diseases in palawija plants and their solutions with input in the form of symptoms of damage that are visible on the outside of the plant. The results in the form of research can also display pictures of the disease, the name of the disease, its symptoms, and solutions that can be seen by the user to overcome the disease. Users can also print the diagnostic results by pressing the print button to see the results of the solution for the disease.

IbM Pelatihan E-Learning (MOODLE) untuk GuruSekolah Menegah Atas di Kota Lhokseumawe Mulyadi Mulyadi; Sila Abdullah Syakri
Jurnal Energi Elektrik Vol 3, No 2 (2014): Jurnal Energi Elektrik
Publisher : Universitas Malikussaleh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29103/jee.v3i2.749

Kemajuan ilu dan teknologi memberikan kemudahan

Decision Support System Group Of Learning Evaluation At SMA Negeri Lhokseumawe Mulyadi; Azhar; Zulfan Khairil Simbolon; Hendrawati; Amirullah
INFOKUM Vol. 10 No. 5 (2022): December, Computer and Communication
Publisher : Sean Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (257.809 KB)

Teachers as educators who have the main task of educating the nation's children to become the next generation who are intelligent and knowledgeable. Teachers can develop students' potential and motivate students to excel. The quality of teachers is influenced by the level of teacher performance in providing knowledge to students and the way of providing clear and appropriate material when teaching. Students must also be involved in the process of assessing the quality of the performance of teachers who have been teaching. Based on these problems, input from students about teacher performance is generally done manually by filling out a satisfaction questionnaire on the teaching and learning process. As a result, we require an assessment system and a model for the quality of learning, particularly in the core school subjects. The evaluation in teacher assessment uses the AHP (Analytical Hierarchy Process) method and group borda. The AHP model process is used to evaluate and improve the quality of student learning so that it can provide objective results. The stages of research using research and development include the first stage, namely the preliminary study stage, theoretical study, and planning stage. The variables measured included attendance, accuracy, ease of capturing material, and the ability to manage classes and formulate problems. The second stage is to test and revise the AHP and Borda models. The third stage is the feasibility test of the decision model with AHP and Borda. The result of the group model is to get the ranking value of each variable, and this value will be entered into the AHP model and the Borda group model. The Borda results are given by the school principal, vice principal, and policy makers. The results of the AHP Model value of K1 (Teaching Attendance Rate) with a priority weight value of 0.280, rank 2, K2 (Accuracy of Starting and Ending Study Hours) of 0.207, and ranking 4, K3 (Ease of Submission of Materials to Be Understood) of 0.295. 1, K4 (Ability to Manage Class Interaction) 0.217, ranking 3. The results of the board for selecting the best teacher: alternative A1 with a value of 0.24 ranking 3. Alternative A2 with a ranking value of 0.20; Alternative A3 with a value of 0.28 ranking 1. Alternative A4 with a value of 0.27 and a rating of 2. The results of this study are the assessment of students and each teacher from the AHP model. Furthermore, the results of the Borda group are in the form of rankings from policy makers. The results of the research are more objective because of the decision-making on the part of students and groups/policy-makers.

Aplikasi Sistem Informasi Dan Pemetaan Daerah Pariwisata Berbasis Web FNU Nurahaliza; Mulyadi Mulyadi
Jurnal Tika Vol 7 No 1 (2022): Jurnal Teknik Informatika Aceh
Publisher : Fakultas Ilmu Komputer Universitas Almuslim Bireuen - Aceh

Increase public awareness of regional potential, this tourism information system includes tourism development and website-based tourism. Tourism is a broad term that refers to various tourism activities that are supported by various facilities and services provided by the community, business world, government, and local government. Aceh tourism has a lot of tourism potential, but few people realize it. Social media, blogs and websites are all used to promote tourism in Aceh. However, there is no system that can store all the data and display a map of the location of attractions and all other aspects of tourism. This is necessary because there is no system that facilitates the acquisition of knowledge and tourist destinations. This encourages to build an information system that can provide complete information to the public and tourists who want to visit Aceh. The results of this study show tourist attractions, lodging and restaurants and can be a consideration for choosing tourist attractions in Aceh. In addition, the system can display various information such as name, address, description, tourist destination, and route.

Sistem Perhitungan Sounding Tangki Timbun CPO dan Laporan Pengolahan Rendemen Minyak Kelapa Sawit Ptpn IV Pabatu Berbasis Android Mulyadi Mulyadi; Maulida Syadzwina; Azhar Azhar; Huzeini Huzeini; Said Aiyub
Jurnal Infomedia: Teknik Informatika, Multimedia, dan Jaringan Vol 8, No 1 (2023): Jurnal Infomedia
Publisher : Politeknik Negeri Lhokseumawe

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30811/jim.v8i1.4181

Abstrak — PKS-PPIS Pabatu merupakan pabrik industri kelapa sawit yang mengolah Tandan Buah Segar (TBS) menjadi CPO. CPO yang ada dipabrik tersebut disimpan di dalam tangki timbun. Tangki timbun CPO setiap harinya dilakukan pengukuran yang dinamakan dengan sounding. Sounding dilakukan setiap dua kali per shif. Hasil sounding akan dilakukan perhitungan lanjutan yang disebut dengan rendemen. Rendemen melibatkan beberapa objek perhitungan diantaranya, sounding, TBS olah, dan jumlah pengiriman minyak. Tujuan penelitian ini dilakukan untuk pembuatan aplikasi berbasis android yang dapat dibawa kemana saja oleh pekerja yang bertanggung jawab dalam proses perhitungan sounding dan rendemen. Aplikasi ini digunakan atasan untuk memantau hasil sounding dan rendemen secara real-time, serta mengakses laporan pengolahan dengan mudah. Metode binary search diimplementasikan dalam pembuatan model aplikasi. Binary search digunakan untuk mencari data volume dan beda yang terdapat pada buku meterolgi tangki timbun serta mencari berat jenis yang ada pada tabel suhu Pengujian aplikasi menunjukkan hasil yang signifikan, di mana sistem perhitungan sounding dan pembuatan laporan pengolahan rendemen mengungguli kinerja perhitungan manual. Perbandingan rasio waktu yang dihasilkan adalah 1:7 dalam perhitungan sounding, 1:6 dalam perhitungan rendemen, dan 1:37 dalam pembuatan laporan. Pengimplementasikan algoritma binary search secara efektif, mampu memberikan peningkatan efisiensi dalam proses perhitungan dan pelaporan. Aplikasi ini memungkinkan pelaksanaan perhitungan yang lebih akurat dan cepat, serta memberikan akses informasi yang lebih mudah bagi menajer dan masinis kepala dalam memantau perhitngan sounding dan rendemen.Abstract — PKS-PPIS Pabatu is a palm oil industrial factory that processes Fresh Fruit Bunches (FFB) into CPO. The CPO in the factory is stored in storage tanks. The CPO storage tank is measured every day which is called sounding. Sounding is done twice per shift. The results of the sounding will be followed by further calculations called the yield. The yield involves several calculation objects including sounding, processed FFB, and the amount of oil shipped. The purpose of this research was to make an Android-based application that can be taken anywhere by workers who are responsible for the sounding and yield calculation processes. This application is used by superiors to monitor sounding and yield results in real-time, as well as easily access processing reports. The binary search method is implemented in making the application model. Binary search is used to find volume and difference data contained in the storage tank meterology book as well as look for the specific gravity in the temperature table. Application testing shows significant results, where the sounding calculation system and preparation of yield processing reports outperform the performance of manual calculations. The ratio of the resulting time is 1:7 in sounding calculations, 1:6 in yield calculations, and 1:37 in report generation. Implementing the binary search algorithm effectively, is able to provide increased efficiency in the calculation and reporting process. This application allows the execution of calculations that are more accurate and faster, as well as providing easier access to information for managers and chief machinists in monitoring sounding and yield calculations.

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