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All Journal Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Jurnal Mantik Journal of Computer Networks, Architecture and High Performance Computing Jurnal AbdiMas Nusa Mandiri Conten : Computer and Network Technology
Muhamad Hasan
Universitas Nusa Mandiri
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Energy Engineering Environmental Science Languange, Linguistic, Communication & Media Mathematics Physics Social Sciences Other

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Identifikasi Citra Pap Smear RepoMedUNM dengan Menggunakan K-Means Clustering dan GLCM Dwiza Riana; Sri Rahayu; Sri Hadianti; Frieyadie Frieyadie; Muhamad Hasan; Izni Nur Karimah; Rafly Pratama
Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Vol 6 No 1 (2022): Februari 2022
Publisher : Ikatan Ahli Informatika Indonesia (IAII)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (534.473 KB) | DOI: 10.29207/resti.v6i1.3495

Abstract

Cervical cancer’s a gynecological malignancy in women that’s very dangerous, even causes death. Prevention through early detection of Pap smear test. It was carried out by pathologists with the help of a microscope still have obstacles in observations. There’re many studies on Pap smear image processing for helping pathologists in cell identification. Availability of Pap smear image dataset is needed in cervical cancer early detection research. The purpose of this study was to segment, feature extraction and classify 180 Pap smear images of RepoMedUNM. The method used to identify Pap smear images begins with preprocessing, namely changing the color in the image to L*a*b color, segmentation using the K-means method, extraction of 6 features, namely metric, eccentricity, contrast, correlation, energy, and homogeneity, and then identified by calculating the closest distance between the training data features and the test data features with the Euclidean distance. The result of identification ThinPrep Pap smear images in 3 classes achieve average accuracy of 93.33%, Non-ThinPrep Pap smear images in 2 classes achieve 90% average accuracy and the average accuracy of the overall in the 4 classes reached 92%. These results indicate that the proposed method can identify Pap smear images well.
Pelatihan Literasi Digital Dalam Bermedia Sosial Pada Ikatan Remaja Islam Masjid At-Taubah Muhamad Hasan; Jordy Lasmana Putra; Mugi Raharjo; Hani Harafani
Jurnal AbdiMas Nusa Mandiri Vol 4 No 1 (2022): Periode April 2022
Publisher : LPPM Universitas Nusa Mandiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33480/abdimas.v4i01.2998

Abstract

The At-Taubah Mosque Islamic Youth Association (IKRIMA) is an Islamic mosque organization located in the Pancoran area, South Jakarta. The various activities they carry out now include the use of the internet and of course social media as a means of seeking and obtaining information. Social media is something that internet users access the most every day. However, as we know Social Media has two sides, namely positive vibes and negative vibes where it all comes back to each of us in responding to or creating the content. For that we need positive content that is educational in nature so that we can balance the negative side of other content. Not all IKRIMA members are aware that social media actually contains information, identity, and digital traces in it. Currently, social media is still used to only express feelings, sadness, joy, confusion, longing to be poured out there. Therefore, it is necessary to hold counseling in the form of community service activities to fulfill the Tridharma of Higher Education with the aim of providing insight to the At-Taubah Mosque Islamic Youth Association regarding the importance of knowing Digital Information, Digital Identity, and Digital Footprints contained in a Social Media. With the hope, the administrators and members of the Islamic Youth Association of Masjid At-Taubah (IKRIMA) can understand the importance of this in daily activities which incidentally always refers to social media and is wise in using it so that negative things don't happen that we don't want.
Analysis of the Impact of the Use of Electronic Money on Community Consumption Behavior in The Bogor Station Environment Mochammad Rizky Kusumayudha; Ahmad Hafidzul Kahfi; Muhamad Hasan; Fitra Septia Nugraha
Jurnal Mantik Vol. 5 No. 4 (2022): February: Manajemen, Teknologi Informatika dan Komunikasi (Mantik)
Publisher : Institute of Computer Science (IOCS)

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Abstract

With the existence of non-cash payment instruments such as electronic money (e-money), which is part of the new policy in the payment system by Bank Indonesia, it will be able to optimize people's purchasing power which at the same time has an impact on improving the country's economy. This non-cash payment system makes it easier for people to transact. As happened in several cases regarding the effect of using e-money on people in Indonesia, namely the increase in consumptive behavior and the difficulty of saving when they have more than enough money for their daily needs. The method used by the author to obtain the necessary data is by observation, interviews, and literature study. The results of the analysis of this problem are to find out what impacts can affect the behavior of people who use e-money, as well as precautions that can be taken to reduce the impact and influence of using e-money.
PENERIMAAN APLIKASI E-RAPORT PADA SMK BHAKTI KARTINI MENGGUNAKAN METODE TECHNOLOGY ACCEPTANCE MODEL Muhamad Hasan; Desiana Nur Kholifah
CONTEN : Computer and Network Technology Vol. 1 No. 1 (2021): Juni 2021
Publisher : LPPM Universitas Bina Sarana Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (315.456 KB) | DOI: 10.31294/conten.v1i1.438

Abstract

E-Raport merupakan sebuah aplikasi pengolah nilai siswa berbasis web yang saat ini tengah dikembangkan oleh SMK Bhakti Kartini diharapkan dapat meningkatkan kinerja bagi para guru dan staff. Sejauh ini, masih terdapat beberapa kendala yang dihadapi para guru dan staff sebagai user dalam penggunaan aplikasi E-Raport, sehingga diperlukan sebuah evaluasi dalam penggunakan aplikasi tersebut. Oleh karena itu, untuk mengetahui penerimaan guru dan staff terhadap keberhasilan pengimplementasian aplikasi E-Raport, maka perlu dilakukan evaluasi dengan menggunakan metode TAM (Technology Acceptance Model). Data yang didapat dari 30 responden yang merupakan para guru pengampu matapelajaran yang terdapat pada SMK Bhakti Kartini yang diperoleh dari pengisian melalui google form dan ditunjukkan dengan skala likert dan diolah menggunakan aplikasi SPSS, diperoleh hasil yang menunjukkan terdapat pengaruh signifikan antara kemudahan penggunaan dan kemanfaatan terhadap penerimaan aplikasi E-Raport. Dengan nilai korelasi sebesar 0,739 hasil penelitian menunjukkan bahwa kemudahan penggunaan dan kemanfaatan berpengaruh 54,6% kepada penerimaan guru dan staff terhadap aplikasi E-Raport.
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

Abstract

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.
Co-Authors Ahmad Hafidzul Kahfi Desiana Nur Kholifah Dwiza Riana Fitra Septia Nugraha Frieyadie Hani Harafani Izni Nur Karimah Jordy Lasmana Putra Mochammad Rizky Kusumayudha Mugi Raharjo Rafly Pratama Riyan Latifahul Hasanah Sri Hadianti Sri Rahayu