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All Journal JURNAL TIARSIE Jurnal Accounting Information System (AIMS) INTERNAL (Information System Journal)
Emil Herdiana
Universitas Putra Indonesia Cianjur
Civil Engineering, Building, Construction & Architecture Computer Science & IT Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Other

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Sistem Pendukung Keputusan Pemilihan Siswa Berprestasi Untuk Penerima Beasiswa Menggunakan Metode TOPSIS Emil Herdiana; Yiyi Supendi; R Riyadhi
Jurnal Tiarsie Vol 20 No 2 (2023): Jurnal TIARSIE 20.2
Publisher : Fakultas Teknik Universitas Langlangbuana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32816/tiarsie.v20i2.197

Abstract

Artikel ini bertujuan untuk membantu pihak sekolah dalam menentukan pemilihan siswa berprestasi untuk penerima beasiswa di Madrasah Aliyah Al Hidayah dengan cara membuat aplikasi sistem pendukung keputusan. Permasalahan yang ada yaitu proses pemilihan siswa berprestai untuk penerima beasiswa masih bersifat manual maka diperlukan suatu sistem pendukung keputusan untuk memperhitungkan segala kriteria yang mendukung pengambilan keputusan supaya membantu, mempercepat serta mempermudah dalam proses pengambilan keputusan. Metode yang digunakan pada sistem pendukung keputusan adalah metode TOPSIS untuk menyelesaikan pengambilan keputusan secra praktis serta mempunyai konsep dimana alternatif yang terpilih merupakan alternatif yang terbaik dan memiliki jarak terpendek dari solusi ideal positif dan jarak terjauh dari solusi ideal negatif. Dimana alternatif yang mempunyai nilai preferensi paling besar yang akan menduduki peringkat pertama. Alternatif tersebut merupakan alternatif yang disarankan untuk menerima beasiswa akademik.
Deteksi Jenis Penyakit melalui Perubahan Warna Kuku dengan Teknik Image Processing Emil Herdiana; Lia Saniah; Fitriani Reyta
Jurnal Accounting Information System (AIMS) Vol. 5 No. 1 (2022)
Publisher : Ma'soem University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32627/aims.v5i1.443

Abstract

Health is an important thing that is needed in order to maintain endurance, in the modern era types of diseases continue to grow very rapidly, these changes can be caused by several factors, these factors can be from food and lifestyle. , we can't deny the lifestyle in the modern era causes a person to forget to take care of their health, this is because the activities and activities are very dense, sometimes without realizing it makes the body's resistance to a disease less so that our body is susceptible to disease. viruses and diseases, this type of disease can attack and damage internal and external organs. Naturally, the body will respond to changes, these changes can show symptoms of an attack, diseases can be categorized from mild to high levels, for example, people who experience hair loss who continue to show cancer, either early or advanced cancer, another example is nail discoloration, for example. one yellow nail indicates the person has jaundice, another indication the nail has a long black line, this indication can be recognized. as a digestive problem in our body. For those who are experts, they will have experience in recognizing diseases and their indications, solutions will soon be found by buying preventive medicine, or other methods by directly consulting a doctor. The problem faced today is that a person is sometimes unconscious and does not observe changes in the body and even considers these changes to be normal, even though the body is trying to provide a natural warning system for the appearance of a disease symptom. image-processing based application, this application is used to identify changes in nail color and texture, these changes will be identified and processed using an image processing algorithm, this algorithm has a high accuracy value, the application will read nail color changes and identify and diagnose symptoms of disease in our body, the identification results have an accuracy of up to 85%.
Deteksi Wajah Kehadiran Mahasiswa Saat Perkuliahan Daring Menggunakan Metode Klasifikasi Nearest Neighboarhood Emil Herdiana; Indra Rustiawan; Zatinniqotaini Zatinniqotaini; Nova Indarayana Yusman
INTERNAL (Information System Journal) Vol. 4 No. 2 (2021)
Publisher : Masoem University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32627/internal.v4i2.257

Abstract

Recording student attendance  during lectures with an online system [on the network] is very necessary to assist both lecturers and the academic department in recording each student's attendance. Therefore the author will make an approach method based on face detection [face recognition] with the K-Nearest Neighbor algorithm or often called the K-NN algorithm, which is a supervised learning algorithm where the results of the new instance are classified based on the majority of the k-nearest neighbors. . The purpose of this algorithm is to classify new objects based on attributes and samples of student attendance/attendance. The k-Nearest Neighbor algorithm uses the Neighborhood Classification which will be used as the predictive value of the new instance so that it will get a value that will approximate the student's facial resemblance.
Co-Authors Indra Rustiawan Lia Saniah Nova Indarayana Yusman R Riyadhi Reyta, Fitriani Yiyi Supendi Zatinniqotaini Zatinniqotaini