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Penguatan Kelompok Tuna Rungu Gerkatin Kalbar Melalui Pelatihan Digital Marketing Untuk Inklusi Digital Arninda, Arninda; Putri Agustini, Syarifah; Istikoma, Istikoma; Aditya Saputra, Rangga; Aliya Supandih, Fathia; Roni, Roni
Jurnal Pengabdian Masyarakat Nusantara (JPMN) Vol. 5 No. 2 (2025): Agustus 2025 - Januari 2026
Publisher : Lembaga Otonom Lembaga Informasi dan Riset Indonesia (KITA INFO dan RISET)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/jpmn.v5i2.6098

Abstract

The Community Partnership Program (PKM) aims to strengthen the capacity of the West Kalimantan Gerkatin disability group through digital marketing training to support inclusive digital transformation. Implemented by the Muhammadiyah University of Pontianak, this activity addresses partner issues related to weak financial management and limited access to digital marketing. Solutions provided include training in financial management, product photography, social media marketing, AI-based copywriting, and assistance in creating an online store via WooCommerce. On September 13 and 20, 2025, 35 deaf participants participated in the training with the support of a Sign Language Interpreter. As a result, 60% of participants were able to prepare financial reports, 75% understood digital marketing, and 70% produced catalog-worthy product photos and descriptions. The implementation of the program encountered challenges associated with participants’ limited baseline digital literacy; however, these were mitigated through intensive mentoring and the application of accessible, disability-friendly technologies. The program also produced a prototype website for cacatjualan.com and various outputs such as journal articles, media publications, videos, posters, and training materials that support the achievement of activities, particularly poverty alleviation, decent work, inequality reduction, and support for the university's Key Performance Indicators in the field of community service. The impact is seen in improving digital skills, social inclusion, and the economic potential of disability groups.
Implementasi Naïve Bayes dan Decision Tree Untuk Klasifikasi Jenis Tanaman Roni, Roni; Abdullah, Asrul; Insani, Rachmat Wahid Saleh
Jurnal Tekno Insentif Vol 19 No 2 (2025): Jurnal Tekno Insentif
Publisher : Lembaga Layanan Pendidikan Tinggi Wilayah IV

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36787/jti.v19i2.2072

Abstract

Abstrak Sektor pertanian berkontribusi penting bagi perekonomian Indonesia, namun pemilihan tanaman masih mengandalkan cara tradisional yang kurang efisien. Penelitian ini mengembangkan sistem klasifikasi tanaman berbasis parameter tanah dan iklim dengan algoritma Naïve Bayes serta Decision Tree. Proses penelitian mengikuti enam tahap CRISP-DM. Data diambil dari Kaggle dengan variabel nitrogen, fosfor, kalium, suhu, kelembapan, pH, dan curah hujan. Evaluasi memakai Confusion Matrix dan Cross-Validation dengan akurasi, presisi, recall, dan F1-score. Hasilnya, Decision Tree akurat pada data latih (97,95%) namun turun di data uji (91,57%), sedangkan Naïve Bayes lebih stabil (95,25%–95,32%) sehingga direkomendasikan karena hasil yang konsisten dan lebih dapat diandalkan. Perbedaan ini terjadi karena kompleksitas struktur Decision Tree membuatnya lebih rentan terhadap overfitting, sedangkan Naïve Bayes yang bersifat probabilistik lebih stabil terhadap variasi data. Kata kunci: Pertanian, Klasifikasi Tanaman, Naïve Bayes, Decision Tree, CRISP-DM Abstract The agricultural sector plays an important role in Indonesia’s economy, yet crop selection still relies on traditional practices that are often inefficient. This study develops a crop classification system based on soil and climate parameters using the Naïve Bayes and Decision Tree algorithms. The research process follows the six stages of CRISP-DM. The dataset, obtained from Kaggle, includes nitrogen, phosphorus, potassium, temperature, humidity, soil pH, and rainfall. Evaluation was conducted with a Confusion Matrix and Cross-Validation using accuracy, precision, recall, and F1-score. Results indicate that Decision Tree achieved 97.95% accuracy on training data but decreased to 91.57% on testing data, while Naïve Bayes remained more stable (95.25%–95.32%), thus recommended for its consistent and more reliable performance. This difference occurs because the complexity of the Decision Tree structure makes it more prone to overfitting, while the probabilistic Naïve Bayes is more stable against data variations. Keywords: Agriculture, Crop Classification, Naïve Bayes, Decision Tree, CRISP-DM.
Connection on Events of Subclause to Main Clause: Analyzing Sentence Construction in Kyoukasho (Japanese Textbooks) Roni, Roni; Nurhadi, Didik; Martiana, Twin D
Eralingua: Jurnal Pendidikan Bahasa Asing dan Sastra Vol 7, No 1 (2023): ERALINGUA
Publisher : Makassar State University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26858/eralingua.v7i1.32923

Abstract

Abstract. Along with the rising influence of Japanese in many spheres of life, many language learners around the world have learned Japanese. Kyoukasho, which means "Japanese language textbooks," are the main books that people who don't speak Japanese use to learn Japanese. Many features of Japanese linguistics may be found in Kyoukasho, one of which is subclause construction. A compound sentence in Japanese must include linking elements. These elements connect the subclause to the main clause. As a result, the purpose of this research is to discover how Kyoukasho explains the use of connecting constituents of time in subclause to form compound sentences. Thistudy is necessary because it can assist Japanese learners in better understanding sentence construction. This was a literary study that used a descriptive-qualitative approach. To obtain the result, data were obtained from six Kyoukasho regularly used by Indonesian higher education institutions to teach Japanese and evaluated using agih and matching analytical approaches. This study drew two conclusions about the use of linking constituents: their use in the sequence of events and their use in the temporal order. There were three events completed for the sequence of events, namely: after, before, and concurrent events, and four orders concluded for the time order, namely: starting-ending, starting, ending, and neutral. Aside from this, this study discovered that the duration of the actions in the concurrent event affects the structure as well. The event is divided into three categories here: open-closed, complete, and partial.Keywords: Time Subclause, Constituents, Japanese Grammars
Co-Authors Aditya Saputra, Rangga Afifah, Hurotun Akhdzulhijah, Akhdzulhijah Aliya Supandih, Fathia Aminuyati Amrullah Amrullah Andang, Baharuddin Andi Yulianto Aris Riswandi Sanusi, Aris Riswandi Arninda, Arninda Arsad, Arsad Asnuddin, Asnuddin Asrul Abdullah Ayadilah, Sri Beatrix Benni Bela Dwi Defira Cromico, Jimmy Damsid, Damsid Daniyati*, Dini Deny Setiawan Didik Nurhadi Djodjok Soepardjo Dona Setia Umbara Dumadi Dumadi, Dumadi Efendi, Rachmat Eni Nurhayati, Eni Erlita, Erlita Erwin Susanto Fanani, Urip Zaenal Fanni, Maghfira Nur Tri Ferliyyana, Navilla Ferrianto Gozali Gias, Muhammad Hadi Wiyono Hamdiyah, Hamdiyah Hardiantini, Rika Hariyati, Nuria Reny Hartanti, Lina Purwaning Hasan, Ferdi Hasim Hasim Hendri Herman Hilda Kumala Wulandari Ibrahim Ibrahim Indahningrum, Marina Indra, Jhoni Iqbal, Mohammad Ali Irma Suryani Istikoma Istikoma Jabar, Aryuni Salpiana Karolina, Venny Kato, Jun Katoh, Jun Kharisma, Anisa Sains khusnul khotimah Lenny Puspita Dewi Mafthukin, Mafthukin Martiana, Twin D Masrokhah, Yuni Maulana Ghibran Mayasari, Erma Dewi Mintowati, Maria Misriati Misriati, Misriati Mohamad Badrun Zaman Muhammad Hidayat Muhammad Tahir Mulyadi Mulyadi Nasiruddin Nasiruddin Nessya, Nessya Ningrum, Sekar Ayu Nugroho, Bastianto Nur Dayanto, Rizki Avrilian nur laela Nurhaedah Nurhaedah Parastuti, Parastuti Permatasari, Nevia Octa Pratiwi, Wilda Rezki Putri Agustini, Syarifah Putri Kurniasih Putri, Eka Risma Rachmat Wahid Saleh Insani Ratna Esmayanti Ridwan, Phil Agus Riono, Slamet Bambang Rizqi Amellia Roisyah, Kholis Roseniati, Irna Sains Kharisma, Anisa Saleh, Firman Salsabila, Nadia Sam Hermansyah Sapondra Wijaya, Sapondra Saputra, Tama Adi Sari, Anita Maika Sari, Riska Imelda Satifali, Utrika Shodiq, Syamsul Sibarani, Mentiana Sinaga, Wilda Sinta, Ardina Sitti Hasriani Soewito, Bambang Soewito, Bambang Soewito, Sri Buwono . Sri Hartati Sruyaman, Ade Subambang K., Subambang K. Subandiyah, Heny Sudikan, Setya Yuwono Sukarta , Asmah Sulaeman , Sulaeman Sulistyowati Sulistyowati Sunandar Sunandar Suparta Suparta, Suparta Susanti, Novia Lutfi susi susi Susmini, Susmini Suyanto Suyanto Suyatno Suyatno Syahadatina, Afrilia Wahyu Syamsul Sodiq Syarini, Fitria Syukri, Mohd. Tiara, Yoan Rosa Urip Zaenal Fanani WAHYU FIRMANSYAH Wartono Wartono Wibowo, Supolo Setyo Wibowo, Wahyu Dwi Ari Wiryadinata, Halim Yosbekasa, Yosbekasa Yuslenita Muda Zainul Daulay Zaluchu, Sonny Eli Zulfadil, Zulfadil