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All Journal INTI Nusa Mandiri Jurnal Abdimas Komunikasi dan Bahasa
Lestari Yusuf
Nusamandiri University
Computer Science & IT Languange, Linguistic, Communication & Media Social Sciences

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Pelatihan Pembuatan Web Company Profile Pada Panti Asuhan Alqi Ceria Kota Bogor Muhamad Ryansyah; Eka Rini Yulia; Siti Ernawati; Lestari Yusuf
Jurnal Abdimas Komunikasi dan Bahasa Vol. 3 No. 2 (2023): Desember
Publisher : LPPM Universitas Bina Sarana Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31294/abdikom.v3i2.2984

Abstract

Alqi Orphanage has dozens of children aged between six and sixteen years. Children not only receive formal education but on-formal education such as skills, sports, and reading the Koran. Based on the results of the analysis carried out on the condition of the Alqi Ceria Orphanage, there are problems regarding the use of information technology. Orphanage children need an upgrade in knowledge regarding creating website applications for company profiles. Websites provide information, share content, sell products or services, or serve as online communication platforms. The method used starts from Surveying Partner Locations, Registration, Training, and discussions to the stage of providing certification to participants. With this training, participants can explore their creativity and abilities in creating web-based applications and provide solutions to existing problems. Panti Asuhan Alqi memiliki puluhan anak-anak yang berusia antara enam sampai enam belas tahun. Anak-anak tidak hanya menerima pendidikan formal, tetapi mereka juga menerima pendidikan non formal seperti keterampilan, olahraga, dan membaca Al-Quran. Berdasarkan hasil analisa yang dilakukan terhadap kondisi Panti Asuhan Alqi Ceria, terdapat permasalahan yaitu mengenai pemanfaatan teknologi informasi. Anak-anak panti asuhan membutuhkan upgrade ilmu mengenai pembuatan aplikasi website untuk company profile. Website menyediakan informasi, berbagi konten, berjualan produk atau layanan, atau sebagai platform komunikasi secara online. Metode yang digunakan dalam pelaksanaan kegiatan pengabdian kepada masyarakat adalah pelatihan dan diskusi sesuai dengan waktu yang telah ditentukan. Melalui pelatihan ini diharapkan dapat meningkatkan kemampuan dan kreatifitas anak-anak panti asuhan dalam membuat aplikasi berbasis web dan sebagai solusi yang diberikan atas permasalahan yang ada.
KLASIFIKASI TIPE BERAT TUBUH MENGGUNAKAN METODE SUPPORT VECTOR MACHINE Taufik Hidayatulloh; Lestari Yusuf
INTI Nusa Mandiri Vol. 18 No. 1 (2023): INTI Periode Agustus 2023
Publisher : Lembaga Penelitian dan Pengabdian Pada Masyarakat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33480/inti.v18i1.4254

Abstract

Abstract—The news of the death of a man in Indonesia is in the public spotlight because doctors have difficulty treating his illness because being overweight or obese causes the organs in the body to fail to function properly. Overweight causes the body to experience several health problems, including heart defects, diabetes, and several other diseases that can attack vital organs in the body. According to data on deaths caused by obesity, there are as many as 60 per 100,000 Indonesian population, and are a very feared killer. Faster handling of recognizing our body weight is important for each individual’s health. Classification can also help overweight in a person known more quickly. In this study, the classification algorithm that will be used is the Support vector machine (SVM). With 252 data, this study will use the SVM algorithm and look for the level of accuracy of the two classification classes, namely normal and overweight. This study produces an accuracy rate of 92.11% with a ROC curve value of 0.990 which means that the classification in this study is very good.
PERBANDINGAN KRITERIA DECISION TREE PADA PENGETAHUAN MASYARAKAT PADA PEMILIHAN UMUM PRESIDEN INDONESIA Siti Masripah; Lestari Yusuf
INTI Nusa Mandiri Vol. 18 No. 2 (2024): INTI Periode Februari 2024
Publisher : Lembaga Penelitian dan Pengabdian Pada Masyarakat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33480/inti.v18i2.5065

Abstract

In the Presidential election, gen z as a new voter, must know in advance who the presidential candidate will be in the 2024 election as well as the election process, because if voters do not know and do not understand, it will cause the wrong choice will result in their votes cannot be used even to abstain. What factors cause milennials and gen z generations to not know about elections can be determined using a decision tree. Therefore, in this study, a questionnaire was given to millennials and gen z generation to find out whether voters know the presidential candidate to be elected. The data from the questionnaire is processed to become training data and testing data with a ratio of 70:30. Then measure the accuracy level using the C4.5 algorithm with a comparison of splitting criteria, namely gain ratio, information gain and gini index. By knowing the right splitting criteria, the decision tree model can help overcome the problem of overfitting in the data. Overfitting occurs when the model is too complex in memorizing training data, thus failing to generalize well to read new data. The calculation results show the difference in accuracy values between Gain ratio, Information gain and Gini index, namely 81.67%, 83.33% and 83.33%. It can be concluded that for the use of Algorithm C4.5 splitting criteria Gain ratio and Gini index have the same accuracy value for accuracy measurement in this study.
Co-Authors Eka Rini Yulia Muhamad Ryansyah Siti Ernawati Siti Masripah Taufik Hidayatulloh