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<![CDATA[Sistem Informasi Penerimaan Murid Baru Berbasis Web Menggunakan Metode Waterfall ]]>
<![CDATA[Aldi, Febri]]>
<![CDATA[ Sinkron : jurnal dan penelitian teknik informatika Vol. 6 No. 1 (2021): Article Research Volume 6 Issue 1: January 2021 ]]>
Publisher : <![CDATA[Politeknik Ganesha Medan ]]>
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DOI: 10.33395/sinkron.v7i1.11242
<![CDATA[The current development of information technology on the activities of people's daily lives is very influential. Where in doing an activity that takes a lot of time can be shortened to complete it. One of the things that we can see at this time is in the field of education. Education service technology is feasible if the government, education service providers, and the community all work together. The problem is how to build information system technology that can provide educational service processes without intervening in existing operational standards. The New Student Admissions Information System is a website-based platform designed to enable public access to information about schools and the new student registration process. The waterfall approach was used to construct this information system, together with the PHP programming language, the Codeigniter 3 framework, the MVC pattern, and the MySQL database. The results obtained in the form of a new student admission information system website that provides services related to registration, and processing of registration data by the school administration. With this research, it is expected to facilitate new student admission officers at Al Azhar Islamic Elementary School 32 Padang to process data well, and help parents to register their children as new students at Al Azhar Islamic Elementary School 32 Padang.]]>
<![CDATA[Effect of Foreign Commissioners, Ethnic Commissioners, Feminism Commissioners Towards CSR Disclosure ]]>
<![CDATA[Anita Ade Rahma]]>;
<![CDATA[Febri Aldi]]>
<![CDATA[ Assets: Jurnal Akuntansi dan Pendidikan Vol 9, No 1 (2020) ]]>
Publisher : <![CDATA[Universitas PGRI Madiun ]]>
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DOI: 10.25273/jap.v9i1.5564
<![CDATA[ABSTRACTThe study aims to test whether the foreign commissioners, ethnic commissioners, and feminism commissioners influence CSR disclosure. This study used a sample of 20 companies LQ-45 are listed on the Stock Exchange from 2015 to 2017. CSR disclosure using the GRI-G4 standard. Ethnic commissioners focused on the presence of ethnic Chinese. The results of this study prove that the foreign commissioners’ variables did not affect CSR disclosure. While on the contrary, ethnic commissioners and feminism commissioners gave a positive effect on CSR disclosure. The existence of ethnic Chinese in the board profitable companies to improve disclosure of CSR index. Likewise, the role of women is needed for the breadth of CSR disclosure.ABSTRAKPenelitian bertujuan untuk menguji apakah dewan komisaris asing, etnis dewan komisaris, dan feminism dewan komisaris mempengaruhi CSR dislosure. Penelitian ini menggunakan sampel 20 perusahaan LQ-45 yang terdaftar di BEI dari 2015-2017. CSR disclosure menggunakan GRI-G4 standard. Etnis dewan komisaris terfokus pada keberadaan etnis Cina. Adapun Hasil penelitian ini membuktikan bahwa variabel dewan komisaris asing tidak berpengaruh terhadap CSR disclosure. Sedangkan sebaliknya, etnis dewan komisaris dan feminism dewan komisaris memberikan pengaruh yang positif terhadap CSR disclosure. Keberadaan etnis Cina dalam dewan menguntungkan perusahaan untuk meningkatkan index CSR disclosure. Begitu juga peran wanita sangat dibutuhkan demi luasnya CSR disclosure.]]>
<![CDATA[The Role of Ethnicity, Gender and Diversity of Director's Experience on Company Performance ]]>
<![CDATA[Anita Ade Rahma]]>;
<![CDATA[Titah Fadhilah Harahap]]>;
<![CDATA[Desi Ilona]]>;
<![CDATA[Febri Aldi]]>
<![CDATA[ UPI YPTK Journal of Business and Economics Vol. 6 No. 1 (2021): January 2021 ]]>
Publisher : <![CDATA[Lembaga Penelitian dan Pengabdian Kepada Masyarakat Universitas Putra Indonesia YPTK ]]>
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DOI: 10.35134/jbe.v6i1.49
<![CDATA[This study aimed to analyze the influence of ethnicity, gender and board of director’s experience diversity on the company performance. The data used are secondary data from the financial statements and annual report from 2011 to 2017. Samples were taken randomly on all companies listed in Indonesia Stock Exchange as many as 266 companies. The results of this study prove that ethnicity and experience of the board of directors not significantly effect on company performance (ROS). However, the results of gender on board of directors showed negative and significant impact on company performance (ROS). Company age and audit quality have insignificant effect on company performance (ROS).]]>
<![CDATA[Pengaruh Struktur Dewan Komisaris Terhadap Capital Structure Pada Perusahaan Manufaktur ]]>
<![CDATA[Anita Ade Rahma]]>;
<![CDATA[Febri Aldi]]>
<![CDATA[ Jurnal Pustaka Aktiva (Pusat Akses Kajian Akuntansi, Manajemen, Investasi, dan Valuta) Vol 1 No 1 (2021): Jurnal Pustaka Aktiva (Pusat Akses Kajian Akuntansi, Manajemen, Investasi, dan Va ]]>
Publisher : <![CDATA[Pustaka Galeri Mandiri ]]>
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DOI: 10.55382/jurnalpustakaaktiva.v1i1.50
<![CDATA[Penelitian ini bertujuan untuk mengetahui pengaruh struktur dewan komisaris dalam capital structure, dimana dewan komisaris menggunakan dewan komisaris independen, ukuran dan masa jabatan dewan komisaris. Sampel dalam penelitian ini berjumlah 124 perusahaan yang terdaftar di BEI dari tahun 2017-2019. Hasil penelitian menunjukkan bahwa dewan komisaris independen berpengaruh signifikan terhadap capital structure. Sedangkan ukuran dan masa jabatan dewan komisaris tidak berpengaruh terhadap capital structure. Dari hasil ini tampak bahwasanya semakin banyak adanya dewan komisaris independen semakin meningkat pula capital structure. Sedangkan semakin lama dewan komisaris menjabat ternyata tidak memberikan dampak pada capital structure. Hal ini terjadi karena kurang adanya perhatian yang lebih ketika menyusun capital structure ini.]]>
<![CDATA[The Importance of Commissioners Board Diversity in CSR Disclosures ]]>
<![CDATA[Anita Ade Rahma]]>;
<![CDATA[Febri Aldi]]>
<![CDATA[ International Journal of Economics Development Research (IJEDR) Vol. 1 No. 2 (2020): International Journal of Economics Development Research ]]>
Publisher : <![CDATA[Yayasan Riset dan Pengembangan Intelektual ]]>
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DOI: 10.37385/ijedr.v1i2.66
<![CDATA[Good companies are inseparable from good Corporate Social Responsibility (CSR). CSR is one indication of whether or not a company is good or bad. CSR has a real impact on the environment and society. The better the impact obtained from the company's CSR, the better the company's performance. CSR activities can be seen from the CSR disclosures. CSR disclosure is influenced by various internal and external factors. As for this study, we want to analyze the influence of the diversity of the board of commissioners on CSR disclosure. The independent variables used in this study are gender commissioners, nationality commissioners, and ethnic commissioners. Company data used are from LQ45 companies listed on the Indonesia Stock Exchange in 2015-2017. 20 companies were found to be the sample of this study using purposive sampling method. From the data processing that has been done, the results obtained are that Gender commissioners have no effect on CSR disclosure. Likewise, the Nationality commissioner proved not to affect the increase in CSR disclosure. but conversely with Ethnic commissioners who have a significant influence on CSR disclosure. This means that ethnic diversity on the board of commissioners is very important. In addition to expanding CSR disclosure can also improve company performance.]]>
<![CDATA[IMPLEMENTASI TEKNOLOGI INFORMASI DAN KOMUNIKASI DALAM ZAKAT UNTUK MENINGKATKAN KESEJAHTERAAN MASYARAKAT MISKIN ]]>
<![CDATA[WINDA AFRIYENIS]]>;
<![CDATA[ANITA ADE RAHMA]]>;
<![CDATA[FEBRI ALDI]]>
<![CDATA[ JEBI (Jurnal Ekonomi dan Bisnis Islam) Vol 3, No 2 (2018): Juli - Desember 2018 ]]>
Publisher : <![CDATA[Universitas Islam Negeri Imam Bonjol Padang ]]>
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DOI: 10.15548/jebi.v3i2.181
<![CDATA[This study aims to explain the implementation practices of the distribution of zakat funds by Baznas for poor families in the city of Padang and also to determine the level of significance of the role of the distribution of zakat funds by Baznas to improve the welfare of poor families in the city of Padang. This research was carried out in BAZNAS Padang City. Therefore the author conducted a study to determine the extent of the implementation of information and communication technology used in the collection and distribution of zakat funds by BAZNAS Padang City. The study time is May-October 2018. This research is quantitative descriptive. The results of the study are: to support the operational activities of BAZNAS in Padang City, supported by information and communication technology (simple technology and using internet technology).]]>
<![CDATA[Views on Deep Learning for Medical Image Diagnosis ]]>
<![CDATA[Irohito Nozomi]]>;
<![CDATA[Febri Aldi]]>;
<![CDATA[Rio Bayu Sentosa]]>
<![CDATA[ Journal of Applied Engineering and Technological Science (JAETS) Vol. 4 No. 1 (2022): Journal of Applied Engineering and Technological Science (JAETS) ]]>
Publisher : <![CDATA[Yayasan Riset dan Pengembangan Intelektual (YRPI) ]]>
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DOI: 10.37385/jaets.v4i1.1367
<![CDATA[Deep learning models are more often used in the medical field as a result of the rapid development of machine learning, graphics processing technologies, and accessibility of medical imaging data. The convolutional neural network (CNN)-based design, adopted by the medical imaging community to assist doctors in identifying the disease, has exacerbated this situation. This research uses a qualitative methodology. The information used in this study, which explores the ideas of deep learning and convolutional neural networks (CNN), taken from publications or papers on artificial intelligent (AI) Convolutional neural networks has been used in recent years for the analysis of medical image data. CNN's development of its machine learning roots is traced in this study. We also provide a brief mathematical description of CNN as well as the pre-processing process required for medical images before inserting them into CNN. Using CNN in many medical domains, including classification, segmentation, detection, and localization, we evaluate relevant research in the field of medical imaging analysis. It can be concluded that CNN's deep learning view of medical imaging is very helpful for medical parties in their work]]>
<![CDATA[Teknik Segmentasi untuk Mengidentifikasi Kelainan Jantung pada Citra Rontgen Dada ]]>
<![CDATA[Febri Aldi]]>;
<![CDATA[Sumijan]]>
<![CDATA[ Jurnal KomtekInfo Vol. 9 No. 3 (2022): Komtekinfo ]]>
Publisher : <![CDATA[Universitas Putra Indonesia YPTK Padang ]]>
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DOI: 10.35134/komtekinfo.v9i3.307
<![CDATA[The annual death toll from heart disease is 17.5 million people. Currently, heart disease is a prevalent condition that kills a lot of people and shortens people's lives. Life is based on the work of the heart, since the heart is a much-needed part of our body where life is impossible. Heart disease affects heart function and can lead to death or annoy the patient before deathThe use of contemporary medical imaging methods like computed tomography (CT), ultrasound, and magnetic resonance imaging (MRI), as well as X-rays, is now commonplace. These methods enable non-invasive qualitative and quantitative assessment of the anatomical structure and function of the heart and support diagnosis, disease monitoring, treatment planning, and prognosis. The purpose of this study is to find heart problems in patients. The data used in this study were chest X-rays of patients with normal heart conditions and chest X-rays of abnormal heart patients obtained from the kaggle website. Segmentation techniques are used to process these cardiac images. Segmentation is the process of separating between an object and another object or between objects and the background contained in an image. Then the calculation of the area of the heart area is carried out using the extraction of morpological and regional features method characteristics with an algorithm that has been developed. The results of this study can identify heart defects through the process of measuring the area of the heart normal and abnormal. So that it produces a good accuracy rate of 85%. This segmentation technique is proven to be very good so that it can be a medical reference to perform further medical actions against abnormalities in the heart.]]>
<![CDATA[Standardscaler's Potential in Enhancing Breast Cancer Accuracy Using Machine Learning ]]>
<![CDATA[Febri Aldi]]>;
<![CDATA[Febri Hadi]]>;
<![CDATA[Nadya Alinda Rahmi]]>;
<![CDATA[Sarjon Defit]]>
<![CDATA[ Journal of Applied Engineering and Technological Science (JAETS) Vol. 5 No. 1 (2023): Journal of Applied Engineering and Technological Science (JAETS) ]]>
Publisher : <![CDATA[Yayasan Riset dan Pengembangan Intelektual (YRPI) ]]>
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DOI: 10.37385/jaets.v5i1.3080
<![CDATA[The major consequence of breast cancer is death. It has been proven in many studies that machine learning techniques are more efficient in diagnosing breast cancer. These algorithms have also been used to estimate a person's likelihood of surviving breast cancer. In this study, we employed machine learning algorithms to predict breast cancer. A total of 569 breast cancer datasets were obtained from kaggle sites. Some of the machine learning algorithms that we use are K-Nearest Neighbor (KNN), besides Random Forest (RF), there is also Gradient Boosting (GB), then Gaussian Naive Bayes (GNB), Vector Support Machine (SVM), and then Logistic Regression (LR). Before algorithms were used to train and test breast cancer datasets, StandardScaler was leveraged to transform training datasets and test datasets for improved algorithm performance. As a result of this utilization, the performance measurement carried out succeeded in producing high accuracy. The highest results were obtained from the Logistic Regression algorithm with an accuracy value of 99%. The value of precison is 99% benign, and 100% malignant. The recall results are 100% benign, and 98% malignant. The F1-Score results show 99% benign, and 99% malignant. It is hoped that this research can help the medical party to determine the next step in dealing with breast cancer.]]>
<![CDATA[Comparison of Drug Type Classification Performance Using KNN Algorithm ]]>
<![CDATA[Aldi, Febri]]>;
<![CDATA[Nozomi, Irohito]]>;
<![CDATA[Soeheri, Soeheri]]>
<![CDATA[ Sinkron : jurnal dan penelitian teknik informatika Vol. 6 No. 3 (2022): Article Research Volume 6 Number 3, July 2022 ]]>
Publisher : <![CDATA[Politeknik Ganesha Medan ]]>
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DOI: 10.33395/sinkron.v7i3.11487
<![CDATA[The error of decommissioning is a serious problem that is often faced in medicine. In the face of these problems, information technology has a very important role. One of the information technologies that can be used is to use the machine learning classification algorithm K-Nearest Neighbor KNN. KNN is a type of machine learning algorithm that can be applied to problems with classification and regression prediction. The classification of types of drugs for patients greatly affects the health of the patient. The patient data is processed and transformed to numbers, which are then divided into training data and test data from 90:10, 80:20, 70:30 and using the Cross Validation model. KNN works through the nearest neighboring value with a value of k = 3 calculated by the calculation of Euclidean Distance, and then evaluated using the Confusion Matrix. The performance of the KNN algorithm resulted in the highest Accuracy value of 98.33%, a Precision value of 98.8%, a Recall value of 96.2%, and an F-measure value of 97.48%. The performance is obtained from the sharing of training data and 90:10 test data. The data share results in high performance compared to other data shares, including using the Cross Validation model. And the lower the k value, the higher the value of the resulting performance. The results show that the performance of the KNN algorithm is working well.]]>
