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All Journal JATI (Jurnal Mahasiswa Teknik Informatika) Catha Saintifica
Ngatoilah, Mohamad
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Civil Engineering, Building, Construction & Architecture Computer Science & IT Education Energy Industrial & Manufacturing Engineering

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ANALISI TINGKAT KENYAMANAN WEBSITE SIMA UNSIQ PADA AKTIVITAS BELAJAR MAHASISWA UNSIQ Ngatoilah, Mohamad; Kusumawati, Diah Tri; Aulia, Destia Afta; Hidayat, Muslim; Hermawan
JATI (Jurnal Mahasiswa Teknik Informatika) Vol. 7 No. 1 (2023): JATI Vol. 7 No. 1
Publisher : Institut Teknologi Nasional Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36040/jati.v7i1.6015

Abstract

Universitas Sains Al-Qur’an merupakan instansi yang berdiri di kabupaten Wonosobo dan memiliki jumlah mahasiswa yang cukup banyak, UNSIQ ini memiliki 7 fakultas dan 20 program studi. Dalam kegiatan perkuliahan UNSIQ menggunakan bantuan Website untuk mempermudah perkuliahan, Website ini sering di kenal dengan SIMA UNSIQ, website ini di gunakan untuk jalannya perkuliahan dan transaksi pembayaran ataupun pendaftaran sertifikasi dan wisuda. Jadi websaite ini di gunakan oleh mahasiswa selama perkuliahan hingga lulus. Dengan fungsional yang tersedia maka kita melakukan penelitian analisis kenyamanan website SIMA UNSIQ pada aktivitas belajar mahasiswa UNSIQ yang bisa di gunakan sebagai koreksian dari progremer ataupun pengelola websaite ini.penelitian dilakukan menggunakan metode black box dengan tahapan yang sudah di rencanakan. Dari penelitian yang kita lakukan mendapatkan hasil kesimpulan website SIMA UNSIQ yang beroperasi di Universitas Sains Al-Qur’an sebagai media perkuliahan dinyatakan layak dan bias berjalan dengan baik, namun masih terdapat beberapa kekuarangan ringan, dan kami sarankan kepada programmer supaya memperbaikinya.
PROMOTION COPYWRITING GENERATOR MODELING USING PROBABILISTIC PARSING TECHNIQUE IN NLP: CASE STUDY AT CV. BERKAH TIGA DEWI Mardiyantoro, Nahar; Ngatoilah, Mohamad; Jalia, Kunti Najma; Hidayaturofingah, H
CATHA SAINTIFICA Vol 2 No 1 (2024): May 2024
Publisher : Sentra Kekayaan Intelektual dan Inovasi Teknologi (INOTEK) Universitas Sains Al-Qur'an

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32699/cathasaintifica.v2i1.7632

Abstract

This study aims to develop a promotional copywriting generator model based on the Probabilistic Parsing technique in Natural Language Processing (NLP), applied to CV. Berkah Tiga Dewi, is a snack production and sales company located in Bumirejo Village, Mojotengah District, Wonosobo. The proposed model was evaluated using Precision, Recall, F1-Score, and Perplexity metrics. The results showed a significant increase in the quality of the promotional text, with the F1-Score of the Probabilistic Parsing model reaching 0.86, compared to the traditional method which only reached 0.70. In addition, a lower Perplexity value indicates that the resulting text is more natural and easy to understand. Validation through cross-validation techniques produced a consistent performance with an average Precision of 0.88 and Recall of 0.85. This study proves the effectiveness of the Probabilistic Parsing technique in producing persuasive and relevant copywriting, providing practical solutions to the company's marketing needs. The impacts include increasing product appeal and corporate image. Development prospects include adapting the model to other products and integrating with digital marketing platforms. In conclusion, the research objectives were achieved with relevant and significant results in the practical application of CV. Berkah Tiga Dewi marketing.
PROMOTION COPYWRITING GENERATOR MODELING USING PROBABILISTIC PARSING TECHNIQUE IN NLP: CASE STUDY AT CV. BERKAH TIGA DEWI Mardiyantoro, Nahar; Ngatoilah, Mohamad; Jalia, Kunti Najma; Hidayaturofingah, H
CATHA SAINTIFICA Vol 2 No 1 (2024): May 2024
Publisher : Sentra Kekayaan Intelektual dan Inovasi Teknologi (INOTEK) Universitas Sains Al-Qur'an

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32699/cathasaintifica.v2i1.7632

Abstract

This study aims to develop a promotional copywriting generator model based on the Probabilistic Parsing technique in Natural Language Processing (NLP), applied to CV. Berkah Tiga Dewi, is a snack production and sales company located in Bumirejo Village, Mojotengah District, Wonosobo. The proposed model was evaluated using Precision, Recall, F1-Score, and Perplexity metrics. The results showed a significant increase in the quality of the promotional text, with the F1-Score of the Probabilistic Parsing model reaching 0.86, compared to the traditional method which only reached 0.70. In addition, a lower Perplexity value indicates that the resulting text is more natural and easy to understand. Validation through cross-validation techniques produced a consistent performance with an average Precision of 0.88 and Recall of 0.85. This study proves the effectiveness of the Probabilistic Parsing technique in producing persuasive and relevant copywriting, providing practical solutions to the company's marketing needs. The impacts include increasing product appeal and corporate image. Development prospects include adapting the model to other products and integrating with digital marketing platforms. In conclusion, the research objectives were achieved with relevant and significant results in the practical application of CV. Berkah Tiga Dewi marketing.
Co-Authors Aulia, Destia Afta HERMAWAN hidayat, Muslim Hidayaturofingah, H Jalia, Kunti Najma Kusumawati, Diah Tri Mardiyantoro, Nahar