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Deteksi Lesi Acne Vulgaris pada Citra Jerawat Wajah Menggunakan Metode K-Means Clustering Riyan Latifahul Hasanah; Muhamad Hasan
Indonesian Journal on Software Engineering (IJSE) Vol 8, No 1 (2022): IJSE 2022
Publisher : Universitas Bina Sarana Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31294/ijse.v8i1.12966

Acne vulgaris atau jerawat merupakan penyakit kulit yang dialami hampir 85% orang dan umumnya terjadi pada usia remaja. Namun penyakit ini dapat bertahan hingga bertahun-tahun hingga mempengaruhi fisik dan psikologis yang berat pada penderita jerawat kronis. Dalam melakukan perawatan jerawat, perlu diidentifikasi jenis dan keparahan jerawat secara tepat agar didapatkan hasil perawatan yang optimal. Metode manual dianggap kurang efektif, sehingga diusulkan metode otomatis menggunakan komputer, yaitu menggunakan teknik pengolahan citra dan teknik pembelajaran mesin. Penelitian ini dilakukan untuk mendeteksi lesi jerawat pada citra jerawat wajah secara otomatis menggunakan metode K-Means Clustering berdasarkan teknik pengolahan citra. Sebelum dilakukan segmentasi, citra asli dengan format RGB dikonversi menjadi format L*a*b. Hasil penelitian menunjukkan bahwa metode yang diusulkan dapat membedakan lesi jerawat dan lesi non-jerawat dan menandainya dalam Region of Interest (ROI). Setelah bagian kulit yang berjerawat terdeteksi, maka dapat dilakukan proses lebih lanjut untuk perawatan jerawat, seperti identifikasi jenis jerawat dan keparahan jerawat.

Identification of Acne Vulgaris Type in Facial Acne Images Using GLCM Feature Extraction and Extreme Learning Machine Algorithm Riyan Latifahul Hasanah; Yan Rianto; Dwiza Riana
Rekayasa Vol 15, No 2: Agustus 2022
Publisher : Universitas Trunojoyo Madura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21107/rekayasa.v15i2.14580

Acne vulgaris or acne is a common inflammatory pilosebaceous condition that affects up to 90% of teenagers, begins during adolescent years, and often persists into adulthood. Acne vulgaris, especially on the face, has a major impact on the emotional, social and psychological health of patients. In treating acne, it is necessary to identify the exact type of acne. The manual method is considered less effective, so it is proposed an automatic method using a computer, which uses image processing techniques. This research was conducted to identify the types of acne on facial acne images. The methods used are K-Means Clustering for segmentation, Gray Level Co-occurrence Matrix (GLCM) for feature extraction, and Extreme Learning Machine (ELM) for classification. The dataset is 100 images and consists of 3 classes, namely Nodules, Papules and Pustules. Testing is done in two stages, namely testing 2 classes (Nodules and Papules), followed by testing 3 classes (Nodules, Papules and Pustules). Testing of 2 classes produces the highest accuracy of 95,24% and testing of 3 classes produces the highest accuracy of 80%.

Efektifitas Penggunaan Google Workspace Untuk Pembelajaran Daring Menggunakan Model Delone-Mclean Dan PLS-SEM Indzaldi Gianjas Saputra; Ersi Destiani; Eni Heni Hermaliani; Riyan Latifahul Hasanah
Swabumi Vol 10, No 2 (2022): Volume 10 Nomor 2 Tahun 2022
Publisher : Universitas Bina Sarana Informatika Kota Sukabumi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31294/swabumi.v10i2.13408

The learning system at Tri Arga 2 Jakarta Vocational School has implemented online learning by using Google workspace, especially Google classroom as a learning medium. The problems that occur are obstacles during the learning process, such as the lack of students' understanding of the learning material provided and inadequate signals. The purpose of this study was to analyze the effectiveness of the use of google workspace using the Delone-Mclean and PLS-SEM methods as well as distributing questionnaires to a sample of Tri Arga 2 Vocational High School students in Jakarta. While the research method by applying quantitative methods with a case study approach. The results of the analysis conclude that the use of the Delone-Mclean model in an online learning system with google workspace, has a success percentage value of 37.67%. While the results of the analysis using the PLS-SEM model which was tested using SmartPLS 3.0 software, which has a significant influence with a success rate of 95% and a failure rate of 5%. The software used to analyze the questionnaire data is SPSS 25 and SmartPLS 3.0. It can be said that the results of the analysis of system success using the two methods of Delone-Mclean and PLS-SEM have quite a large difference.

Implementasi Sistem Informasi Untuk Manajemen Pengolahan Bank Sampah Organik Dan Sampah Non Organik Eni Heni Hermaliani; Mochammad Andre; Muhamad Al Akbar; Sunandar Adityo; Riyan Latifahul Hasanah
Literasi: Jurnal Pengabdian Masyarakat dan Inovasi Vol 3 No 1 (2023)
Publisher : Pengelola Jurnal Politeknik Negeri Ketapang

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

Community participation in reducing the quantity or volume of waste as well as managing waste is one of the most important parts in tackling the waste problem, especially in big cities. Reduction or reduction in the amount and volume of waste is an effort made to minimize the presence of waste. The waste bank is a means for the community that is used to manage waste that has economic value. In the residential area of Villa Pertiwi Block P Rt.004 Rw.015, Sukamaju Village, Cilodong District, Depok. In the process of processing and storing waste bank customer data, they still use the manual method, namely by recording every transaction into a book, so that problems often arise such as damaged or lost data, data duplication, and report books that are left more and more and accumulate. Therefore, by implementing training and implementing and using a web-based waste bank application system, it can make it easier to process and store customer data in the operational activities of the waste bank. Customers can register as waste bank customers through the waste bank information system, making it easier to validate data and recap customer data collection, admins can print deposit data reports from customers' waste bank results.

Pelatihan Desain UI/UX Mobile Apps Untuk Remaja Masjid Jakarta Islamic Centre Menggunakan Figma Nurmalasari Nurmalasari; Riyan Latifahul Hasanah; Eni Heni Hermaliani; Nita Merlina
Literasi: Jurnal Pengabdian Masyarakat dan Inovasi Vol 3 No 1 (2023)
Publisher : Pengelola Jurnal Politeknik Negeri Ketapang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58466/literasi.v3i1.848

Jakarta Islamic Center (JIC) is a local government institution that includes elements of local government and society with main tasks including human resources development, information and communication and business development. In the information and communication function, JIC requires a medium that can be used for broadcasting Islamic proselytizing optimally and managed professionally with an attractive and up to date appearance. Therefore, a team of lecturers from the Faculty of Information Technology, Nusa Mandiri University (FTI UNM) conducted community service in the form of training on how to design UI / UX with figma on mobile apps for JIC mosque teenagers. The training was held on October 15, 2022 at the Damai campus with 14 participants through presentations, demonstrations, discussions and questions and answers. The results of the research can equip new knowledge and knowledge for participants so that they have skills in creating and managing information and communication media in the form of mobile apps with attractive designs and in accordance with the needs of visitors.

Classification of Banana Ripeness Based on Color and Texture Characteristics Ahmad Hafidzul Kahfi; Muhamad Hasan; Riyan Latifahul Hasanah
Journal of Computer Networks, Architecture and High Performance Computing Vol. 5 No. 1 (2023): Article Research Volume 5 Issue 1, January 2023
Publisher : Information Technology and Science (ITScience)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/cnahpc.v5i1.1985

Banana is one of the most consumed fruits globally and is a rich source of vitamins, minerals and carbohydrates. With the many benefits that bananas have, many farmers cultivate this fruit. The problem that occurs when the harvest is produced on a large scale is the process of selecting bananas that are still unripe or ripe. Usually farmers carry out the selection process manually by visually identifying ripeness based on the color of the fruit skin. However, direct observation has several drawbacks such as subjectivity, takes a long time and is inaccurate. For this reason, we need a system that can help determine the maturity level of bananas automatically through a series of banana image processing processes. One way that can be used to determine the maturity level of bananas is by looking at the color and texture of the bananas. This study aims to classify the maturity level of bananas based on the color and texture characteristics of the banana image using the Gray Level Co-occurrence Matrix and K-Nearest Neighbor methods for the classification process. Based on the results of the research analysis that has been carried out, using the parameter k which has a value of 3 obtains very high accuracy.

Sistem Sistem Pendukung Keputusan Pemilihan Karyawan Terbaik Dengan Metode AHP Pada PT Telkom Witel Kalbar: Sistem Pendukung Keputusan, Pemilihan Karyawan Terbaik, Metode AHP Wira Prasetyo; Eni Heni Hermaliani; Riyan Latifahul Hasanah
Computer Science (CO-SCIENCE) Vol. 3 No. 1 (2023): Januari 2023
Publisher : LPPM Universitas Bina Sarana Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31294/coscience.v3i1.1351

PT.Telkom Witel Kalbar currently has many employees but with so many employees, the selection of the best employees is done manually so that the company is still difficult to determine the best employees. With these problems, researchers are interested in conducting research in the form of a decision support system that can later help from the company to determine the selection of the best employees in the form of a application. The Analytical Hierarchy Process (AHP) is a theory that contains measurements used to find the ratio scale by means of pairwise comparisons between factors. This study uses the Analytical Hierarchy Process method as an alternative solution to the decision support system for selecting the best employees at PT. Telkom Witel Kalbar. The application of the AHP method is considered capable of providing an initial value of subjective problems and then becoming objective so as to increase the level of accuracy in selecting the best employees so as to get the results of the research, namely Mr. Satria became the best employee.

Pelatihan Desain UI/UX Mobile Apps Untuk Remaja Masjid Jakarta Islamic Centre Menggunakan Figma Nurmalasari Nurmalasari; Riyan Latifahul Hasanah
Jurnal Pengabdian Masyarakat dan Inovasi Vol 3 No 1 (2023)
Publisher : Pengelola Jurnal Politeknik Negeri Ketapang Jl. Rangga Sentap, Dalong Sukaharja, Ketapang 78813. Telp. (0534) 3030686 Kalimantan Barat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58466/jurnalpengabdianmasyarakatdaninovasi.v3i1.1180

Jakarta Islamic Center (JIC) is a local government institution that includes elements of local government and society with main tasks including human resources development, information and communication and business development. In the information and communication function, JIC requires a medium that can be used for broadcasting Islamic proselytizing optimally and managed professionally with an attractive and up to date appearance. Therefore, a team of lecturers from the Faculty of Information Technology, Nusa Mandiri University (FTI UNM) conducted community service in the form of training on how to design UI / UX with figma on mobile apps for JIC mosque teenagers. The training was held on October 15, 2022 at the Damai campus with 14 participants through presentations, demonstrations, discussions and questions and answers. The results of the research can equip new knowledge and knowledge for participants so that they have skills in creating and managing information and communication media in the form of mobile apps with attractive designs and in accordance with the needs of visitors

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