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ANALISIS PERBANDINGAN FRAMEWORK FRONT-END JAVASCRIPT SOLIDJS DAN VUEJS PADA PENGEMBANGAN WEBSITE INTERAKTIF Moch Fikri Khoirurrizal; Cepi Rahmat Hidayat; Ruuhwan Ruuhwan
Jurnal Informatika dan Teknik Elektro Terapan Vol 12, No 2 (2024)
Publisher : Universitas Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/jitet.v12i2.4106

Abstract

Abstrak. Penelitian ini membandingkan performa dan efisiensi antara dua framework front-end JavaScript, yaitu SolidJS dan VueJS, dalam pengembangan website interaktif. Menggunakan metode kuantitatif dengan pengujian lapangan, penelitian ini menganalisis waktu proses dan penggunaan sumber daya dari kedua framework. Hasilnya menunjukkan bahwa SolidJS memiliki performa dan efisiensi yang lebih baik daripada VueJS dalam mayoritas skenario pengujian kecuali skenario. Analisis statistik juga menunjukkan perbedaan yang signifikan antara kedua framework. Sebagai rekomendasi, SolidJS layak dipertimbangkan bagi pengembang website interaktif, meskipun VueJS memiliki stabilitas yang lebih baik.Keywords: Framework; Front-End; JavaScript; SolidJS; VueJS.
PENERAPAN DATA MINING CLASSIFICATION UNTUK PENENTUAN JENIS BANTUAN SOSIAL MENGGUNAKAN METODE NAÏVE BAYES CLASSIFIER Shinta Siti Sundari; Evi Dewi Sri Mulyani; Cepy Rahmat Hidayat; Dede Syahrul Anwar; Teuku Mufizar
Computer Science Research and Its Development Journal Vol. 16 No. 1 (2024): February 2024
Publisher : LPPM Universitas Potensi Utama

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Abstract

The social assistance program is a program held by the government as an effort to overcome poverty. Mekarjaya Village is one of the villages running the program. In carrying out this social assistance process, there are obstacles in terms of collecting data on its citizens because there are often discrepancies in the recipient data collected by the community with the type of assistance. To make it easier to determine the appropriate type of social assistance, an analysis of the data on the recipients of the social assistance is needed. The data analysis method in this research uses Data Mining including Data Selection and Preprocessing, while the classification method uses the Naïve Bayes Classifier. Testing using the Confusion Matrix produces an accuracy of 94.53% with a comparison of training data and testing 80:20. With this model, it is hoped that village officials can determine the type of social assistance that is appropriate for the community.
Empowerment of Posyandu Cadres in Tuguraja Village with Digitalization and Creative Health Innovations Shinta Siti Sundari; Evi Dewi Sri Mulyani; Teuku Mufizar; Ayu Rahmawati; Agus Supriatman; Rudi Hartono; Cepi Rahmat Hidayat; Dede Syahrul Anwar
ABDIMAS: Jurnal Pengabdian Masyarakat Vol. 8 No. 1 (2025): ABDIMAS UMTAS: Jurnal Pengabdian Kepada Masyarakat
Publisher : LPPM Universitas Muhammadiyah Tasikmalaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35568/abdimas.v8i1.5587

Abstract

One type of community-based health initiative that are planed and organized from, by, for and with the community is called Posyandu. The involvement of cadres is also essential to the success of Posyandu operations, they are responsible for establishing a connection between the community and health professionals or specialist  and helping to assisting and identify health needs. Cadres are also required to be able to provide information for health institutions that may not be able to reach the community directly, especially regarding Toddlers and the Elderly. With the development of technology towards digital, where the data management process is already based on Information Systems, it can provide ideas for cadres to use information systems as a tool to help their activity processes. The problems faced by cadres today are the lack of understanding regarding the use of digitalization as a medium for managing data and how to operate and maintain it. Meanwhile, in its current development, all stakeholders involved with Posyandu are already using the application. so we want to provide direct training regarding application use and maintenance, by conducting interviews and observations first . The results of the activities that have been carried out obtained results that with socialization and training regarding the importance of innovation with digitalization in posyandu services, they were able to understand and implement what was conveyed by the PKM team and could be realized optimally
SISTEM INFORMASI GEOGRAFIS (SIG) UNTUK PEMETAAN POTENSI DAN MANAJEMEN SUMBER DAYA DESA WISATA DI KABUPATEN TASIKMALAYA Cepi Rahmat Hidayat; Teuku Mufizar; Ariel Ivan Al-Hakim; Alfiyah Adwa
Jurnal Teknologika Vol 16 No 1 (2026): Jurnal Teknologika
Publisher : Sekolah Tinggi Teknologi Wastukancana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51132/teknologika.v16i1.663

Abstract

Tasikmalaya Regency, located in West Java Province, has 92 Tourism Villages, but only 5 villages have developed status and the remaining 87 are still in the pilot status. Pilot villages have potential that has not been optimally managed and minimal visits, indicating an urgent need for tools to map and manage this potential so that they can be upgraded to a sustainable tourism destination. This study aims to design and build a Geographic Information System (GIS) for Potential Mapping and Resource Management of Tourism Villages in Tasikmalaya Regency, using the Waterfall software development model. This GIS is designed to visualize geospatial data on locations, assets, and potential categories of 87 pilot villages in an integrated manner. The web-based information system was successfully developed, proven by Black Box testing showing that the application runs as expected. Furthermore, the System Usability Scale (SUS) test produced a score of 75.5 (category "Good"), which indicates a high level of acceptability and ease of use. The implementation of GIS is expected to be a strategic solution for the Tourism Office and tourism village managers to identify, develop, and prioritize potential efficiently, in order to accelerate the improvement of the classification of tourism village status in Tasikmalaya Regency
Sentiment Analysis of Cooking Oil Prices in Indonesia Using the Long Short-Term Memory Method Evi Dewi Sri Mulyani; Cepi Rahmat Hidayat; Teuku Mufizar; Shinta Siti Sundari; Dede Syahrul Anwar; Ruuhwan; Jamal Ma'ruf; M. Akbar Kasyfurrahman
Elinvo (Electronics, Informatics, and Vocational Education) Vol. 10 No. 1 (2025): May 2025
Publisher : Department of Electronic and Informatic Engineering Education, Faculty of Engineering, UNY

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21831/elinvo.v10i1.73972

Abstract

The policy that was intensively discussed from early January to March 2022 was related to the setting and lifting of the Highest Retail Price for cooking oil, which was proven by the busy news on television, print media and social media. Many responses or speculations arise as a result of this policy. The importance of research on public speculation or sentiment analysis is to create a system model and find out how the public responds to government policy after the Highest Retail Price for cooking oil is determined and revoked, which ranges from February 4 to March 31 2022, as a benchmark and material. government considerations in making policy. The data that was collected in the period after the Maximum Retail Price (MRP) was set amounted to 904 datasets, and after the repeal of the MRP, it amounted to 874. Research can function as a basis for completing important information to support public policy decisions. The data is trained to obtain an optimal model and can predict sentiment with the Long Short-Term Memory (LSTM) model. To get the best model, random parameter testing was carried out using 80% of the training data and 20% of the validation dataset. The test results in fairly good accuracy with the softmax activation function, with an accuracy of 82.34%.
Sosialisasi Media Pembelajaran Ilmu Tasrifan Shorof Berbasis Android Di Pesantren Ma’rifa Cigalontang Kabupaten Tasikmalaya Shinta Siti Sundari; Missi Hikmatyar; Evi Dewi Sri Mulyani; Cepi Rahmat Hidayat; Dede Syahrul Anwar
JURNAL PENGABDIAN GLOBAL Vol 5, No 1 (2026): Jurnal Pengabdian Global (JPEG)
Publisher : JURNAL PENGABDIAN GLOBAL

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38101/jpeg.v5i1.16179

Abstract

Ilmu Tasrifan Shorof merupakan salah satu unsur penting dalam kurikulum Bahasa Arab, yang hingga kini umumnya masih disampaikan melalui metode konvensional seperti ceramah dan hafalan. Pendekatan tersebut kurang memberikan ruang interaksi aktif, sehingga kerap menimbulkan kejenuhan serta kesulitan bagi siswa dalam memahami struktur perubahan bentuk kata kerja (shighat). Hal ini turut berkontribusi terhadap rendahnya hasil belajar pada materi tersebut.Kegiatan pengabdian kepada masyarakat ini bertujuan untuk memberikan sosialisasi penggunaan media pembelajaran Ilmu Tasrifan Shorof berbasis Android yang mudah diakses kepada santri dan guru di Pesantren Ma’rifa Cigalontang Kabupaten Tasikmalaya. Kegiatan dilaksanakan pada 8 Agustus 2025 melalui metode ceramah interaktif, demonstrasi penggunaan aplikasi, dan pendampingan langsung. Hasil kegiatan menunjukkan peningkatan pemahaman santri dan guru dalam mengakses serta memanfaatkan aplikasi tersebut, dengan respon positif terhadap kemudahan penggunaan dan manfaatnya dalam mempelajari kaidah perubahan kata dalam bahasa Arab. Kegiatan ini diharapkan dapat menjadi langkah awal digitalisasi pembelajaran Ilmu Tasrifan Shorof di pesantren.
Pelatihan Pengolahan dan Diversifikasi Produk Aren untuk Pemberdayaan UMKM Desa Sukaharja Kabupaten Tasikmalaya Cepi Rahmat Hidayat; Riga Zahara Nurani; Intan Rahayu; Hidayah Dwiyanti; Triana Setyawardani; Ardiansyah Ardiansyah
Jurnal Pengabdian UNDIKMA Vol. 7 No. 1 (2026): February
Publisher : LPPM Universitas Pendidikan Mandalika (UNDIKMA)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33394/jpu.v7i1.18233

Abstract

This community service program aims to enhance the capacity and skills of Silih Asih MSME actors in Sukaharja Village, Tasikmalaya Regency, in producing premium-quality palm sugar products and developing value-added product innovations. The program was implemented through training and mentoring activities involving 20 participants. Evaluation instruments included written tests (pre-test and post-test), skill observation sheets, and participant response questionnaires. Data were analyzed using descriptive quantitative methods by comparing participants’ average pre-test and post-test scores to assess overall competency improvement. The results indicate a significant increase in participants’ competencies, with the average pre-test score improving from 58 to 88 in the post-test. In addition to enhanced technical skills, participants also gained a better understanding of the importance of quality standards and attractive packaging design. These findings demonstrate that the program is effective in fostering self-reliance and enhancing the competitiveness of MSMEs based on local potential.
Pemanfaatan Aplikasi Kecerdasan Artifisial Untuk Kegiatan Pembelajaran Di Pesantren Ma’rifa Cigalontang Kabupaten Tasikmalaya Evi Dewi Sri Mulyani; Ariel Ivan Al-Hakim; Fauzan M. Iqbal; Teguh Ikhlas Ramadhan; Agus Supriatman; Dede Syahrul Anwar; Rudi Hartono; Missi Hikmatyar; Cepi Rahmat Hidayat; Aso Sudiarjo; Ruuhwan; Shinta Siti Sundari; Teuku Mufizar; Widia Nurindriyanti
JPPkM: Jurnal Pengabdian dan Pemberdayaan kepada Masyarakat Vol. 2 No. 2 (2026): JPPkM:Juli
Publisher : Yayasan Pemimpin Inovasi Science

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Abstract

The rapid advancement of Large Language Model (LLM)-based Artificial Intelligence (AI) has created new opportunities to improve the quality and efficiency of teaching and learning processes. However, the adoption of this technology remains constrained by limited AI literacy and prompt engineering skills among educators, particularly in Islamic boarding schools (pesantren). This community service program aimed to enhance teachers' knowledge and skills in utilizing LLM applications through training on prompt engineering techniques based on the C.R.E.A.T.E. and S.T.A.R. frameworks. The program was conducted at Ma'rifa Islamic Boarding School in Cigalontang, Tasikmalaya Regency, involving 32 participants. The implementation methods included lectures, AI application demonstrations, hands-on prompt development practice, and evaluations through pre-tests, post-tests, practical assessments, and participant satisfaction questionnaires. The evaluation results showed that the participants' average score increased from 58.4 in the pre-test to 85.7 in the post-test, representing an improvement of 46.7%. In the practical assessment, 82% of participants successfully developed prompts using the C.R.E.A.T.E. and S.T.A.R. techniques with good to excellent performance. Furthermore, the participant satisfaction survey yielded an average score of 4.58 out of 5, indicating that the training materials were considered relevant, easy to understand, and beneficial for supporting teaching and learning activities. Overall, the program successfully improved participants' AI literacy, understanding of LLM technology, and prompt engineering competencies. Therefore, similar training programs should be implemented continuously to support digital transformation and foster innovation in teaching and learning within Islamic boarding school environments.