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All Journal International Journal of Reconfigurable and Embedded Systems (IJRES) TEKNIK INFORMATIKA Jurnal Ilmiah Teknik Elektro Komputer dan Informatika (JITEKI) Sinkron : Jurnal dan Penelitian Teknik Informatika Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) JOURNAL OF ELECTRICAL AND SYSTEM CONTROL ENGINEERING JURNAL MEDIA INFORMATIKA BUDIDARMA JITK (Jurnal Ilmu Pengetahuan dan Komputer) JurTI (JURNAL TEKNOLOGI INFORMASI) MATRIK : Jurnal Manajemen, Teknik Informatika, dan Rekayasa Komputer Jurnal Telematika JURTEKSI JOURNAL OF SCIENCE AND SOCIAL RESEARCH MIND (Multimedia Artificial Intelligent Networking Database) Journal CSRID (Computer Science Research and Its Development Journal) Building of Informatics, Technology and Science Jurnal Mantik Jurnal Manajemen, Ekonomi Sains Jurnal Varian JURNAL PIONIR INFOKUM Journal of Applied Data Sciences Jurnal Ipteks Terapan : research of applied science and education International Journal of Research in Vocational Studies (IJRVOCAS) Proceeding of International Conference on Information Science and Technology Innovation (ICoSTEC) Jurnal Pengabdian Masyarakat dan Riset Pendidikan Jurnal Intelek Dan Cendikiawan Nusantara SISFOTENIKA Proceeding Of International Conference On Education, Society And Humanity

Wanayumini

Universitas Asahan

Author-ID : 3749747

Religion Aerospace Engineering Agriculture, Biological Sciences & Forestry Arts Humanities Astronomy Automotive Engineering Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Immunology & microbiology Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Mathematics Mechanical Engineering Medicine & Pharmacology Neuroscience Nursing Physics Public Health Social Sciences Veterinary Other

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Analisis Kinerja Support Vector Machine dalam Mengidentifikasi Komentar Perundungan pada Jejaring Sosial Ade Clinton Sitepu; Wanayumini Wanayumini; Zakarias Situmorang
JURNAL MEDIA INFORMATIKA BUDIDARMA Vol 5, No 2 (2021): April 2021
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/mib.v5i2.2923

Cyberbullying is the same as bullying but it is done through media technology. Bullying has often occurred along with the development of social media technology in society. Some technique are needed to filter out bully comments because it will indirectly affect the psychological condition of the reader, morover it is aimed at the person concerned. By using data mining techniques, the system is expected to be able to classify information circulating in the community. This research uses the Support Vector Machine (SVM) classification because the algorithm is good at performing the classification process. Research using about 1000 dataset comments. Data are grouped manually first into the labels "bully" and "not bully" then the data divide into training data and test data. To test the system capability, data is analyzed using confusion matrix. The results showed that the SVM Algorithm was able to classify with an level of accuracy 87.75%, 89% precision and 91% Recal. The SVM algorithm is able to formulate training data with level of accuracy 98.3%

SISTEM APLIKASI PENGOLAHAN DATA BAHAN BAKU DAN BAHAN JADI PADA PABRIK PENGOLAHAN PUPUK ORGANIK CV. AJ PRATAMA GROUP AIR JOMAN MENGGUNAKAN METODE JUST IN TIME (JIT) Wanayumini Wanayumini; M. Ari Iskandar
(JurTI) Jurnal Teknologi Informasi Vol 3, No 1 (2019): JUNI 2019
Publisher : Universitas Asahan

Abstrak - Tujuan penulisan Penelitian ini untuk mepermudah pengguna dalam mengelola data bahan baku dan bahan jadi untuk memperoleh laba atau keuntungan dalam melakukan proses produksi. Metode yang ada saat ini masih manual, dimana terjadi kesalahan dalam menghitung jumlah bahan baku yang dibutuhkan, sehingga sering terjadi kerugian dalam setiap proses produksinya. Aplikasi ini di disain dengan menggunakan metode Just In Time (JIT) atau metode tepat waktu dimana pengguna hanya akan membeli bahan baku sesuai dengan jumlah kebutuhan yang diperlukan. Sehingga pengguna akan lebih mudah menghemat biaya produksi dikarenakan tidak akan takut kelebihan stok bahan baku, dan ini juga akan menghemat ruang penyimpanan di dalam gudang. Jadi dapat di simpulkan bahwa aplikasi ini dapat menggantikan metode yang lama. Sehingga dalam setiap proses produksinya dilakukan dengan tepat dan memperoleh laba atau keuntungan yang lebih besar lagi. Kelemahan aplikasi ini desainnya masih sangat sederhana. Kata Kunci - Visual Basic.Net 2010, Sistem Aplikasi Pengolahan Data Bahan Baku dan Bahan Jadi, Metode Just In Time (JIT). Abstract - The purpose of this thesis is to facilitate users in managing data on raw materials and finished materials to obtain profits or profits in carrying out the production process. The current method is still manual, where there is an error in calculating the amount of raw materials needed, so that losses often occur in each production process. This application is designed using the Just In Time (JIT) method or a timely method where users will only buy raw materials according to the number of needs needed. So that users will be easier to save on production costs because they will not be afraid of excess stock of raw materials, and this will also save storage space in the warehouse. So it can be concluded that this application can replace the old method. So that in each production process it is carried out properly and gets a bigger profit or profit. The weakness of this application is that the design is still very simple. Keywords - Visual Basic.Net 2010, Sistem Aplikasi Pengolahan Data Bahan Baku dan Bahan Jadi, Metode Just In Time (JIT)

Perancangan Aplikasi Penentuan Produksi Karet Pada PTPN 3 Kebun Sei Silau Dengan Menggunakan Metode Fuzzy Mamdani Wanayumini Wanayumini; Devy Pratiwi
(JurTI) Jurnal Teknologi Informasi Vol 2, No 1 (2018): JUNI 2018
Publisher : Universitas Asahan

Abstract - This web application makes it easy for admin to handle rubber production without manually doing a tester. Good rubber production based on fuzzy mamdani is: Heat temperature with a value of -0.6 °, with rubber droplet conditions that are good for the production process. Dry air humidity with a value of -0.4%, with rubber droplets that are good for the production process. Intensity Dark light with a value of 0, rubber droplet conditions that are good for the production process. System decision support system that determines a decision to manage and analyze the work clearly. There are several things that weaken the competitiveness of rubber production including rubber processing is still done simply or manually, with the application of the Fuzzy Mamdani Method is expected to increase rubber production. Keywords - Rubber, Decision Support System, Fuzzy Mamdani Method

The Activity Activation Function Of Multilayer Perceptron - Based Cardiac Abnormalities: The Activity Activation Function Of Multilayer Perceptron - Based Cardiac Abnormalities Mutiara S. Simanjuntak; Wanayumini Wanayumini; Rika Rosnelly; Teddy Surya Gunawan
Jurnal Mantik Vol. 4 No. 1 (2020): May: Manajemen, Teknologi Informatika dan Komunikasi (Mantik)
Publisher : Institute of Computer Science (IOCS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1206.55 KB)

Cardiac disorders refer to irregular activity at the heart. Cardiac abnormalities sometimes do not exhibit any and unreasonable symptoms that can lead to sudden death due to heart-cracking functions. This article is to develop a program capable to detect cardiac abnormalities activity through the application of Multilayer Perceptron (MLP). A certain number of heart rate signal data from an electrocardiogram (EKG) will be used in this paper to train and to test the network performance of the MLP. MLP is trained by several techniques that Backpropagation (BP), Bayesian regularity (BR), and Levenberg-Marquardt (LM).

Identification of Malaria Parasite Patterns With Gray Level Co-Occurance Matrix Algorithm (GLCM) Annas Prasetio; Rika Rosnelly; Wanayumini
Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Vol 6 No 3 (2022): Juni 2022
Publisher : Ikatan Ahli Informatika Indonesia (IAII)

The results of the test using 5 data of malaria parasite test imagery found that image 1 has an average accuracy value of the energy of 0.55627, homogeneity average of 0.8371, PSNR of 6.1336db, and MSE of 0.24358. Image 2 has an average energy accuracy value of 0.22274, an average Homonegity of 0.98532, a PSNR of 6.1336db, and an MSE of 0.24358. Image 3 has an energy average accuracy value of 0.28735, a Homonegity average accuracy value of 0.9793, a PSNR of 6.133db, and an MSE of 0.24358. Image 4 has an energy average accuracy value of 0.32907 and an average homogeneity accuracy value of 0.97073, PSNR 6.133db, and MSE 0.24358. Image 5 has an average accuracy value of 0.74102, Homonegity average of 0.99844, PSNR of 6.133db, and MSE of 0.4358. Image 6 has an accuracy value of 0.34758 energy, an average accuracy value of homogeneity of 0.99129, a PNSR of 6.133db, and an MSE of 0.24358. Obtained the rule if the average value of energy > = 0.50 then the pattern of malaria parasites is very clear, namely Image 1 and image 5 with a pattern of malaria parasites is very clear.

Komparasi Metode Multi Layer Perceptron (MLP) dan Support Vector Machine (SVM) untuk Klasifikasi Kanker Payudara JAKA KUSUMA; B. HERAWAN HAYADI; WANAYUMINI WANAYUMINI; RIKA ROSNELLY
MIND (Multimedia Artificial Intelligent Networking Database) Journal Vol 7, No 1 (2022): MIND Journal
Publisher : Institut Teknologi Nasional, Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26760/mindjournal.v7i1.51-60

ABSTRAKPenyebab kematian utama saat ini di dunia salah satunya dikarenakan oleh penyakit kanker. Menurut data Globocan 2018, dengan tingkat kematian rerata 17 per 100.000 jiwa dan insiden sebanyak 2,1 per 100.000 jiwa untuk kanker payudara yang menyerang wanita di Indonesia. Hal ini menjadikan Indonesia menempati peringkat ke-23 di Asia dan ke-8 di Asia Tenggara. Seiring perkembangan teknologi, sistem berbantuan komputer telah membantu orang di berbagai bidang misalnya di bidang medis. Penentuan jenis kanker payudara menggunakan mechine learning dapat membantu ahli patologi melakukan pemeriksaan secara lebih konsisten dan efisien. Pada penelitian ini, akan dilakukan komparasi metode Multi Layer Perceptron (MLP) dan Support Vector Machine (SVM) untuk klasifikasi kanker payudara. Adapun hasil yang didapatkan menunjukan bahwa, dalam klasifikasi metode Multi Layer Perceptron (MLP) dengan fungsi aktivasi Logistic dan fungsi optimisasi Adam memberikan nilai accuracy, precision dan recall terbaik dibandingkan Support Vector Machine yaitu sebesar 97.7%.Kata kunci: Multi Layer Perceptron (MLP), Aktivasi Logistic, Optimisasi Adam, Support Vector Machine (SVM), Kanker PayudaraABSTRACTThe leading cause of death today in the world is due to cancer. According to Globocan 2018 data, with an average mortality rate of 17 per 100,000 people and an incidence of 2.1 per 100,000 people for breast cancer that affects women in Indonesia. This makes Indonesia ranked 23rd in Asia and 8th in Southeast Asia. As technology has evolved, computer-aided systems have helped people in various fields such as in the medical field. Determination of the type of breast cancer using mechine learning can help pathologists perform examinations more consistently and efficiently. In this study, a comparison of the Multi Layer Perceptron (MLP) and Support Vector Machine (SVM) methods will be carried out for breast cancer classification. The results obtained showed that, in the classification of multi layer perceptron (MLP) methods with logistic activation function and Adam optimization function provides the best accuracy, precision and recall value compared to Support Vector Machine which is 97.7%.Keywords: Multi Layer Perceptron (MLP), Logistic Activation, Adam Optimization, Support Vector Machine (SVM), Breast Cancer

COMPARATIVE OF ID3 AND NAIVE BAYES IN PREDICTID INDICATORS OF HOUSE WORTHINESS Ade Clinton Sitepu; Wanayumini -; Zakarias Situmorang
Jurnal Ipteks Terapan (Research Of Applied Science And Education ) Vol. 14 No. 3 (2020): Re Publish Issue
Publisher : Lembaga Layanan Pendidikan Tinggi Wilayah X

Decision making is method of solving problems using certain way / techniques so that can beaccepted. After making some calculations and considerations through several stages, the decisionhave taken that decision maker goes through. This stage will be selected until the best decision hasmade. Decision-making aims to solve problems that solve problems so that decisions with finalgoals can be implemented properly and effectively. This study uses a simulation of decision makingfrom seven attributes to the proportion of the feasibility of a house based on data from CentralStatistics Agency (BPS). There are several techniques for presenting decision making including: ID3(decision tree) algorithm concept and Naïve Bayes algorithm. Both classification are learningsuperviseddata grouping. ID3 algorithm depicts the relationship in the form of a tree diagramwhereas Naïve Bayes makes use of probability calculations and statistics. As a result, in datatraining, decision trees are able to model decision making more accurately. The prediction resultsusing the decision tree model = 90.90%, while Naïve Bayes = 72.73%. Meanwhile, the speed of theNaive Bayes algorithm is better

ENHANCE OF RELIABILITY OF LAND SAFETY FROM FIRE BASED ON COMPUTER VISION IN IMAGE PROCESSING Khoirunsyah Dalimunthe; Muhammad Sayid Amir Ali Lubis; Rika Rosnelly; Wanayumini
INFOKUM Vol. 10 No. 03 (2022): August, Data Mining, Image Processing, and artificial intelligence
Publisher : Sean Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (362.83 KB)

Monitoring inland fires can help Human vision do amazing things, such as recognizing people or objects and navigating through obstacles, which can also be done using satellite imagery or cameras with image processing methods using uncrewed aircraft (UAV). Image processing is an activity where computers require a sensor that functions like the human eye and a computer program that acts as a data processor from the sensor. This research will focus on designing and implementing the computer vision metro de thresholding method, which is used for camera image data processing to detect fire inland fires. This value will be used as color filtering for parameters to detect fire objects and also as a threshold value for segmentation image.

Implementasi Metode HSI pada Transformasi Ruang Warna Dalam Mendeteksi Kematangan Buah Mangga Udang Yuni Franciska Br Tarigan; Karina Andriani; Rika Rosnelly; Wanayumini Wanayumini
JURNAL MEDIA INFORMATIKA BUDIDARMA Vol 6, No 4 (2022): Oktober 2022
Publisher : Universitas Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/mib.v6i4.4547

Mango is a plant that is widely cultivated in Indonesia. Mango is a fruit that is popular and favored by almost the entire world population. Mango is not a native plant from Indonesia but is a fruit plant native to India that has a distinctive taste. The shelf life is very short because it is a fruit that is easily damaged or rotted in a certain period of time. The use of technology Digital image is an image that can be processed directly by a computer. A digital image can be represented by a matrix consisting of M columns and N rows, where the intersection between the columns and rows is called a pixel (picture element), which is the smallest element of an image. Image processing is a form of processing an image or image by numerical processing of the image, in this case, each pixel or point of the image is processed. One image processing technique utilizes a computer as software to process each pixel of an image. For image processing applications that perform object recognition, it will be easier if the object is identified using the difference in its hue value by limiting a certain value of the hue value to the object. The HSI color space model is a color space system similar to the performance of the human eye. HSI works by combining the color or grayscale contained in the image. Based on the reference value range of the Mango Shrimp fruit that has been determined in the process using the HSI method, it can be concluded that the test image of the Mango Shrimp fruit with a value of H=32 S=0.675 I=83 then the manga can be said to be ripe.

PENGOLAHAN BUAH SALAK UNTUK MENINGKATKAN UP2K SERTA MENGAJARKAN MEMASARKAN PRODUK SECARA ONLINE DI DESA PERHUTAAN SILAU Hamida Sari Siregar, Wanayumini,Wahyudi, Rohaniah, Nurhayati
Jurnal Manajemen, Ekonomi Sains Vol 4, No 1 (2022): AGUSTUS 2022
Publisher : Universitas Asahan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36294/mes.v4i1.3162

AbstractKegiatan pengabdian masyarakat ini dilaksanakan di Desa Perhutaan Silau Kec.Pulo Bandring. Sasaran mitra dalam pengabdian ini adalah masyrakat yang memiliki UMKM. Tim pelaksana memberi pelatihan bagaimana cara membuat salak menjadi cemilan kurma salak dan cara memasarkan produk tersebut secara online. Pelatihan ini mendapatkan respon positif dari peserta pengabdian dan menambah wawasan peserta bagaimna cara mengembangkan UMKM yang bertujuan meningkatkan UP2K..Setelah kegiatan terlaksana, tim pengbdian terus membuka FGD (Forum Grup Discussion) dimana komunikasi antara peserta dan tim pengnbdian terus berjalan dengan baik. Kata Kunci: Buah Salak,UP2K, Pemasaran

Co-Authors Ade Clinton Sitepu Ade Clinton Sitepu Adelina, Mimi Chintya Al Ayyub, Muhammad Azwar Alfitra, Andra Amanda, Windi Winona Ammar Yasir Nasution Andi Zulherry Annas Prasetio Annas Prasetio Ardana, Abdul Aziz Arjuna Ginting ayadi, B. Herawan H B. Herawan Hayadi Darma, Ali Dedy Hartama Desi Irfan Desi Irfan Devy Pratiwi Dini Farhatun Doughlas Pardede Elisabeth S, Noprita Erica Rian Safitri Erlina Erlina Fajar Hardiansyah Gea, Muhammad Nasri Habib Satria Hanani Hutabarat, Jamina Harahap, Sarwedi Hartama, Dedy Hartono Hartono Hasibuan, Cici Cahyati Husin Sariangsah Ichsan Firmansyah Indra Mawanta Indra Swanto Ritonga Irfan Sudahri Damanik Ismail, Juni isnaini, fitri JAKA KUSUMA Juni Ismail Karina Andriani Khoirunsyah Dalimunthe Lili Tanti Lili Tanti Lili Tanti, Lili Lubis, Cindy Paramitha lvindra, Farhan A M yoggi saputra M. Ari Iskandar Maharani, Puan Margolang, Khairul Fadhli Masri Wahyuni Mhd Fauzan Yafi Mhd Zahir Az Zikri Miftahul Jannah Muhammad Fachrurrozi Nasution Muhammad Nasri Gea Muhammad Sadikin Muhammad Sayid Amir Ali Lubis Muhammad Zarlis Mutiara S. Simanjuntak Nasir Fadillah Marpaung Novendra Adisaputra Sinaga NURLIANA NURLIANA Nurul Akmal Jodhy P.P.P.A.N.W. Fikrul Ilmi R.H. Zer Prasetya, Hardi Putri, Nazifa Rahma, Intan Dwi Rahmat Rika Rosnelly Rika Rosnelly Rika Rosnelly Rika Rosnelly Rika Rosnelly RIKA ROSNELLY Rika Rosnelly Rika Rosnelly Rika Rosnelly, Rika Roesnelly, Rika Rohima, Rohima Roslina Roslina, Roslina Roslina, Roslina Safitri, Erica Rian Sartika Mandasari Selase, Septinur Sihombing, Rotua Simangunsong, Dame Lasmaria Siti Gkhonia Sri Ayu Rosiva Srg Sugeng Riyadi Sugeng Riyadi Sultan Nico Nur'Arsy Sumantri, Ekoliyono Wahyu Syahrizal Syahrizal T S Gunawan Tambunan, Fazli Nugraha Tammamah Lubis, Hartati Teddy Surya Gunawan Teddy Surya Gunawan Teddy Surya Gunawan Teddy Surya Gunawan Teddy Surya Gunawan Triana Puspa handayani Triwanda, Eri Utami Wardah Hafiz Vicky Rolanda Vivin Wulandari Wardana, Revo Wulandari, Wulandari Yuni Franciska Br Tarigan Yunita Sari Zakarias Situmorang Zer, P.P.P.A.N.W. Fikrul Ilmi R.H.

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