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All Journal Abdimasku : Jurnal Pengabdian Masyarakat Idealis : Indonesia Journal Information System Kresna: Jurnal Riset dan Pengabdian Masyarakat Jurnal Pengabdian Masyarakat Bangsa Artinara Jurnal Ticom: Technology of Information and Communication
Roeswidiah, Ririt
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ANALISIS SENTIMEN PADA MEDIA SOSIAL TERHADAP LAYANAN SAMSAT DIGITAL NASIONAL DENGAN SUPPORT VECTOR MACHINE Kirana, Anindya Sasi; Rusdah, Rusdah; Roeswidiah, Ririt; Pudoli, Ahmad
IDEALIS : InDonEsiA journaL Information System Vol. 8 No. 1 (2025): Jurnal IDEALIS Januari 2025
Publisher : Universitas Budi Luhur

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36080/idealis.v8i1.3276

Abstract

Motor vehicle users experience rapid growth every year. The increasing number of vehicles contributes to one of the state revenues: taxes. SAMSAT is a state institution with the authority to regulate motor vehicle tax (PKB). As technology develops, SAMSAT innovates through the SIGNAL application, which allows people to make motor vehicle tax payments safely via cell phone. Social media such as Instagram and X have great potential for collecting data to understand public reactions to the SIGNAL application. Comments on social media regarding the SIGNAL application raise pros and cons from the public; therefore, it is necessary to carry out sentiment analysis through a text mining approach using the Support Vector Machine (SVM) algorithm following the Cross Industry Standard Process for Data Mining (CRISP-DM) methodology. This research was carried out through several stages: data collection, preprocessing, modeling with the Support Vector Machine (SVM), and evaluation with a confusion matrix. Data in the research were collected from Instagram social media comments from September 20, 2023, until. 16 April 2024 as many as 3,543 records and 1,335 comments on X's social media from 31 May 2023 until March 27, 2024, with the keyword "SIGNAL application". After the preprocessing stage, the data used was reduced to 3,911 because there were duplicate and irrelevant reviews. based on 3,911 data, it produced 773 positive comments, 1991 negative, and 1147 neutral comments. This research aims to identify public sentiment towards SIGNAL services via social media, such as Instagram. We prepared a dataset of two and three sentiment classes for research modeling needs. Based on the application of the model, a Support Vector Machine (SVM) with a linear kernel produces better scores than the Naïve Bayes and KNN models with accuracy values ​​of 0.88, precision of 0.88, recall of 0.81, and AUC of 0.92 using a 10-fold cross-validation on training data and test data.
Pelatihan Pengenalan Internet dan E-mail Pada Staf Administrasi UD. Inti Mas Motor Jakarta: Internet and Email Introduction Training for UD Administrative Staff Inti Mas Motor Jakarta Hardjianto, Mardi; Everhard, Yan; Aryasanti, Agnes; Samsinar, Samsinar; Roeswidiah, Ririt
KRESNA: Jurnal Riset dan Pengabdian Masyarakat Vol 2 No 2 (2022): Jurnal KRESNA November 2022
Publisher : DRPM Universitas Budi Luhur

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36080/jk.v2i2.37

Abstract

UD. Inti Mas Motor Jakarta merupakan usaha perdagangan di bidang jasa dan jual beli suku cadang sepeda motor. Staf administrasi milik UD. Inti Mas Motor Jakarta rata-rata sudah bisa menggunakan internet meski hanya membuka media sosial. Internet belum dimanfaatkan secara optimal di tempat kerja. Peningkatan penggunaan internet yang optimal sangat dibutuhkan oleh staf administrasi UD. Inti Mas Motor Jakarta, sehingga perlu diadakan pelatihan. Pelatihan pengenalan internet dan email yang diberikan kepada staf administrasi telah meningkatkan keterampilan mereka. Hal ini dibuktikan dengan peningkatan rata-rata skor hasil test yang diberikan sebelum dan sesudah pelatihan. Hasil pre-test diperoleh nilai rata-rata 50 dan setelah pelatihan meningkat menjadi 87.1. Saat ini, staf administrasi dapat menggunakan internet untuk mencari informasi yang mereka butuhkan, sehingga dapat membantu dalam pekerjaannya.
Program Volunteer: Pelatihan Membuat Takoyaki, Paper Doll, Furin dan Shadoo Bagi Siswa-Siswi Tingkat Sekolah Menengah Atas Utami, Iis Torisa; Roeswidiah, Ririt; Irawati, Riri; Pradipta, Anindya Putri; Khalid, Zulvia; Sartana, Bruri Trya
Jurnal Pengabdian Masyarakat Bangsa Vol. 2 No. 9 (2024): November
Publisher : Amirul Bangun Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59837/jpmba.v2i9.1552

Abstract

Kegiatan pengabdian kepada masyarakat berupa program volunteer yang diselenggarakan dalam kegiatan workshop dalam bentuk pelatihan bagi siswa-siswi SMK/SMU untuk memberikan pengetahuan dan keterampilan guna menumbuhkan minat kewirausahaan dan meningkatkan percaya diri untuk dapat berkomunikasi langsung dengan orang asing. Metode yang digunakan dalam kegiatan pengabdian kepada masyarakat yaitu metode pelatihan membuat Makanan Takoyaki, dan keterampilan membuat paper doll, furin serta menulis katakana (Shadoo). Hasil dari kegiatan pengabdian kepada masyarakat menunjukkan bahwa sebesar 36% peserta berminat mengembangkan wirausaha membuat makanan Takoyaki, dan 27% peserta mampu berkomunikasi secara langsung dengan mahasiswa jepang.
PELATIHAN DESAIN KONTEN MEDIA SOSIAL DENGAN CANVA UNTUK MENINGKATKAN KREATIFITAS SISWA SMK TRIGUNA 1956 Kusumaningsih, Dewi; Rusdah, Rusdah; Everhard, Jan; Roeswidiah, Ririt; Syafrullah, Mohammad
Artinara Vol 4 No 1 (2025): Jurnal Artinara Februari 2025
Publisher : Universitas Budi Luhur

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36080/artinara.v4i1.237

Abstract

The community service activity entitled “Graphic Design Training in an Effort to Equip SMK Triguna 1956 Students to Enter the World of Work Using Canva” aims to provide practical graphic design skills to SMK Triguna 1956 students to be better prepared to enter the world of work. Using the easily accessible Canva design platform, the training covered the basic introduction to graphic design, Canva's features, as well as the practice of creating designs such as posters, flyers, and social media content. The results of this training showed an increase in students' ability to create applicable and attractive designs. The participant satisfaction survey showed that the majority of students were satisfied and considered the skills acquired useful for their future careers. However, some participants expected further training to deepen the use of Canva features. This training was successful in providing graphic design skills that are relevant to industry needs.
Deteksi Dini Penyakit Stroke pada Data Tidak Seimbang Menggunakan SMOTE dan Random Forest Aryabima, Muhammad Iqbal; Rusdah Rusdah; Roeswidiah, Ririt; Ahmad Pudoli
Jurnal Ticom: Technology of Information and Communication Vol 13 No 3 (2025): Jurnal Ticom-Mei 2025
Publisher : Asosiasi Pendidikan Tinggi Informatika dan Komputer Provinsi DKI Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70309/ticom.v13i3.156

Abstract

Loss of blood circulation to the brain causes a stroke, which is also known as a brain attack. In addition, blood clots are also the leading cause of stroke in the brain. Based on the WHO report, stroke is the leading cause of death in Indonesia in 2024, with a death rate reaching 131.8 per 100,000 population. This study aims to classify early detection of stroke disease by applying the Cross Industry Standard Process for Data Mining (CRISP-DM) methodology using the Random Forest algorithm. The data used is public through the website www.kaggle.com, with a total of 4981 records consisting of 11 attributes. The data composition is unbalanced, with 4733 negative stroke data (95%) and 248 positive strokes (5%). Handling imbalanced data using the Synthetic Minority Oversampling Technique (SMOTE). The total data from SMOTE is 5981 records, with 4733 negative data and 1248 positive. After exploring several models, the best model was obtained using Random Forest with the SMOTE approach, producing an accuracy of 80.14%, AUC 0.836, recall 63.33%, and precision 11.42%.
Optimalisasi Penggunaan Microsoft Office Untuk Peningkatan Kompetensi Siswa SMK Jurusan OTKP Utami, Iis Torisa; Roeswidiah, Ririt; Sartana, Bruri Trya; Irawati, Riri
ABDIMASKU : JURNAL PENGABDIAN MASYARAKAT Vol 8, No 3 (2025): Vol 8, No 3 (2025): SEPTEMBER 2025
Publisher : LPPM UNIVERSITAS DIAN NUSWANTORO

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62411/ja.v8i3.3107

Abstract

Tujuan dari kegiatan abdimas untuk meningkatkan kemampuan siswa-siswi SMK Mega Bangsa konsentrasi Otomatisasi Tata Kelola Perkantoran dalam penggunaan Aplikasi Microsoft office khususnya pada penggunaan Microsoft Word dan Microsoft Excel. Metode yang digunakan pada kegiatan ini adalah metode pendampingan. Jumlah peserta UKK sebanyak 16 siswa. Hasil dari kegiatan Abdimas berdasarkan pre-test dan post-test. Hasil pre-test Microsof Word sebesar 29 dan Microsoft Excel 27, dan hasil Post-tes Microsoft Word 42, dan Microsoft Excel 39, keduanya meningkat secara signifikan artinya kegiatan pelatihan yang diselenggarakan di SMK Mega Bangsa pelatihan yang efektf sehingga siswa-siswi mempunyai pengetahuan dan wawasan yang bermanfaat untuk menghadapai tantangan dunia kerja setelah lulus dan memiliki kriteria kompeten berdasarkan hasil UKK. Selanjutnya hasil pre-test dan post-tes secara keseluruhan sangat signifikan, hal ini dapat ditunjukkan dari hasil post-test nilai 81, dibandingkan hasil pre-test 53, ini menunjukkan bahwa kegiatan pelatihan ini sangat bermanfaat dan efektif untuk mengembangkan dan meningkatkan kemampuan siswa-siswi.Kata Kunci : Microsoft Word; Microsoft Excel; Uji Kompetensi Keahlian; SMK
Co-Authors Aryabima, Muhammad Iqbal Aryasanti, Agnes Everhard, Yan Hardjianto, Mardi Iis Torisa Utami Irawati, Riri Khalid, Zulvia Kirana, Anindya Sasi Kusumaningsih, Dewi Mohammad Syafrullah Pradipta, Anindya Putri Pudoli, Ahmad Rusdah Rusdah Ruwirohi, Jan Everhard Samsinar Samsinar Sartana, Bruri Trya