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All Journal SELAPARANG: Jurnal Pengabdian Masyarakat Berkemajuan Jurnal Sisfokom (Sistem Informasi dan Komputer) CYBERNETICS Jurnal PTK dan Pendidikan GERVASI: Jurnal Pengabdian kepada Masyarakat Generation Journal Jurnal Teknika Reforma: Jurnal Pendidikan dan Pembelajaran Insearch: Information System Research Journal Joutica : Journal of Informatic Unisla
M. Ghofar Rohman
Universitas Islam Lamongan
Agriculture, Biological Sciences & Forestry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Health Professions Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Mathematics Medicine & Pharmacology Nursing Public Health Social Sciences Other

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PENDAMPINGAN PEMASARAN DIGITAL USAHA RUMAH TANGGA GERABAH DI DESA GENDANGAN MADURAN MELALUI PENGGUNAAN MARKETPLACE Amri, Sholihul; Dhana, Rio Rahma; Rohman, M. Ghofar
GERVASI: Jurnal Pengabdian kepada Masyarakat Vol. 8 No. 1 (2024): GERVASI: Jurnal Pengabdian Kepada Masyarakat
Publisher : LPPM IKIP PGRI Pontianak

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31571/gervasi.v8i1.6527

Abstract

Gedangan Maduran merupakan sebuah desa yang memiliki usaha keluarga yang memproduksi gerabah tradisional. Permasalahan yang dihadapi oleh industri rumah tangga di Desa Gedangan muncul dari kurang maksimalnya penjualan dan perputaran permintaan serta cara pemasaran yang masih konvensional. Tujuan dari dukungan ini adalah: 1) memperluas pengetahuan tentang pendirian dan pengelolaan usaha ritel di pasar; dan 2) meningkatkan keterampilan dalam mengatur dan mengelola operasional penjualan di pasar. Tujuan dari layanan ini terdiri dari dua bagian: 1) pemahaman dan praktik langsung pembuatan akun di pasar bagi peserta perdagangan; 2) pemahaman langsung dan praktis dalam mengelola pemesanan produk pada akun. Pendekatan yang digunakan adalah Asset-Based Community Development (ABCD) yang meliputi lima fase: Definisi, Penemuan, Impian, Desain, dan Takdir. Hasil penelitian ini memungkinkan para pelaku industri lokal di Desa Gedangan memahami pemasaran digital, marketplace dan penjualan produk melalui marketplace. Mereka juga mempunyai peluang untuk menciptakan pasar, mempromosikan produknya di pasar dan meningkatkan penjualan gerabah.
Major Recommendation System for New Students at SMK Muhammadiyah 1 Lamongan with Naive Bayes Algorithm Muzaqi, Wildan Irsyad; Rohman, M. Ghofar; Reknadi, Danang Bagus
Jurnal Sisfokom (Sistem Informasi dan Komputer) Vol. 14 No. 3 (2025): JULY
Publisher : ISB Atma Luhur

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32736/sisfokom.v14i3.2390

Abstract

Students' majors in Vocational High Schools (SMK) are very important in determining the direction of their education and career, but the process carried out so far is often subjective and does not consider academic grades and interests objectively. To overcome this, this study develops a website-based major recommendation system at SMK Muhammadiyah 1 Lamongan using the Naive Bayes algorithm that is able to provide accurate major recommendations based on student data. This system is designed using a structured Waterfall Model software development method, starting from needs analysis, design, implementation, to testing. The Naive Bayes algorithm was chosen because of its simplicity and ability to work with relatively small datasets, such as new student data at the school. Of the total 675 student data collected, 60% or 405 data were used as training data to train the Naive Bayes algorithm, while the remaining 40% or 270 data were used as test data to measure the accuracy level of the recommendation system. The test results show that the system achieves an average accuracy of 90.91%, with precision above 0.73 for each major, recall above 0.80 except for the Office Management major which reaches 0.75, and an average F1 score of 81.72%. These findings indicate that the website-based major recommendation system with the Naive Bayes algorithm is effective and can help students determine majors that suit their potential and interests objectively and accurately, thus supporting a more precise and targeted major selection process.
Adaptation of Contrastive Learning and Augmentation for Indonesian Product Review Classification on Unbalanced Data Using Deep Learning and NLP Reknadi, Danang Bagus; Rohman, M. Ghofar; Mustain; Utomo, Aphila Fraga Listyo
Generation Journal Vol 9 No 2 (2025): Generation Journal
Publisher : Universitas Nusantara PGRI Kediri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29407/gj.v9i2.25783

Abstract

In the digital era, product reviews are an important source of information for consumers and businesses because they influence purchasing decisions and marketing strategies. However, the distribution of sentiment in product reviews is often unbalanced, with positive reviews dominating and negative reviews being limited. This condition poses a challenge in developing text classification models, especially for Indonesian which has a complex morphological structure and very rich vocabulary variations. This study adapts the Contrastive Learning method for the classification of unbalanced Indonesian language product reviews and tests the effectiveness of text augmentation techniques in improving representation, especially for minority classes with limited data. Data were obtained through web scraping from Indonesian e-commerce platforms, totaling around 10,000 reviews with a composition of 52% positive, 30% negative, and 18% neutral. The data was processed and expanded using augmentation techniques to significantly increase the variety and amount of training data. The LSTM model trained on the original data and the augmented data, showing an increase in validation accuracy from around 73% to almost 100% in the 30th epoch, with a final accuracy reaching 92% and an F1-Score of 90%. These results confirm that the incorporation of data augmentation is crucial to address imbalance, thereby improving the robustness and reliability of the model in product review sentiment classification
Pengenalan teknologi pembelajaran translanguaging berbasis web untuk meningkatkan literasi bahasa Arab-Indonesia di SMA Muhammadiyah 1 Babat Reknadi, Danang Bagus; Mujilahwati, Siti; Hartantyo, Sugeng Dwi; Rohman, M. Ghofar; Amri, Sholihul; Isnawati, Uzlifatul Masruroh
SELAPARANG: Jurnal Pengabdian Masyarakat Berkemajuan Vol 9, No 6 (2025): November (In Progress)
Publisher : Universitas Muhammadiyah Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31764/jpmb.v9i6.35722

Abstract

AbstrakKegiatan pengabdian kepada masyarakat ini bertujuan untuk mengenalkan dan mengimplementasikan teknologi translanguaging berbasis web sebagai sarana pendukung peningkatan literasi pembelajaran Bahasa Arab-Indonesia bagi siswa. Media pembelajaran yang tersedia sebelumnya masih terbatas dan belum mampu mengintegrasikan bahasa Arab dan bahasa Indonesia dalam satu platform, sehingga siswa mengalami kesulitan memahami materi secara lebih kontekstual. Kegiatan ini dilaksanakan di SMA Muhammadiyah 1 Babat, dengan melibatkan guru Bahasa Arab dan siswa sebagai peserta uji coba. Proses pengabdian dilakukan melalui analisis kebutuhan, perancangan aplikasi, pengembangan berbasis web, dan uji coba lapangan. Data diperoleh melalui penyebaran angket kepuasan serta observasi langsung terhadap aktivitas belajar mengajar. Tingkat kepuasan guru dan siswa diukur menggunakan kuesioner dengan skala penilaian terhadap kemudahan penggunaan, tampilan, dan manfaat aplikasi dalam proses pembelajaran. Aplikasi translanguaging ini dilengkapi fitur terjemahan kontekstual dua arah, kamus interaktif, dan latihan pemahaman teks yang membantu siswa meningkatkan literasi bahasa serta memudahkan guru dalam penyampaian materi.. Hasil uji menunjukkan tingkat kepuasan guru sebesar 87% dan siswa sebesar 90%, yang menandakan aplikasi ini diterima dengan baik. Secara keseluruhan, kegiatan ini membuktikan bahwa teknologi translanguaging berbasis web efektif mendukung literasi pembelajaran Bahasa Arab-Indonesia, dengan ruang lingkup yang masih dapat diperluas pada jenjang pendidikan lain agar manfaatnya semakin luas. Kata kunci: translanguaging; literasi; berbasis web; bahasa Arab-Indonesia; teknologi pembelajaran. AbstractThis community service activity aims to introduce and implement web-based translanguaging technology as a means of supporting students' Arabic-Indonesian language learning literacy. Previously available learning media were limited and unable to integrate Arabic and Indonesian into a single platform, resulting in students having difficulty understanding the material more contextually. This activity was carried out at SMA Muhammadiyah 1 Babat, involving Arabic language teachers and students as trial participants. The community service process was carried out through needs analysis, application design, web-based development, and field trials. Data were obtained through the distribution of satisfaction questionnaires and direct observation of teaching and learning activities. Teacher and student satisfaction levels were measured using questionnaires with a rating scale for ease of use, appearance, and the application's usefulness in the learning process. This translanguaging application is equipped with a two-way contextual translation feature, an interactive dictionary, and text comprehension exercises that help students improve language literacy and facilitate teachers in delivering material. The test results showed a teacher satisfaction level of 87% and a student satisfaction level of 90%, indicating that the application was well received. Overall, this activity proves that web-based translanguaging technology effectively supports Arabic-Indonesian language learning literacy, with a scope that can still be covered at other levels of education so that its benefits are even broader. Keywords: translanguaging; literacy; web-based; Arabic-Indonesian; learning technology.
Co-Authors Agung Ferry Anggara Amri, Sholihul Arif Irawan Bachri, Affan Bettaliyah, Azza Abidatin Danang Bagus Reknadi Erin masfufah Farida, Mega Fitri Rohmawati Hartantyo, Sugeng Dwi Ihza, Muhammad Yusril Isnawati, Uzlifatul Masruroh Laksono, Arief Budi M Hasan Wahyudi Masruroh Masruroh Miftahus Sholihin MUNIF ROCHMAWANTO Mustain Muzaqi, Wildan Irsyad Nurul Fuad Pratiwi, Putri Septiani Indah Prisma Nanda Purnomo Hadi Susilo, Purnomo Hadi Purnomo Hadi Susiolo Putra Samudra Putri, Jenjang Oktaviasanata Ananda Rahma Dhana, Rio Rohman, Auliya’ur Siti Mujilahwati Sundiya Eryfa Diana Suryanti, Cindy Syarif Hidaytullah, Athia Utomo, Aphila Fraga Listyo Wulandari, Dewi Sri Yahya, Kurnia Zumrotus Shalekhah