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All Journal Humaniora MAJALAH ILMIAH PEMBELAJARAN Linguistika Paradigma : Journal of Science, Religion and Culture Studies Bahasa, Sastra, Pembelajaran Lingua Didaktika: Jurnal Bahasa dan Pembelajaran Bahasa Pendidikan Bahasa dan Sastra Indonesia Jurnal Bahasa dan Sastra Humanus: Jurnal ilmiah Ilmu-ilmu Humaniora Techno.Com: Jurnal Teknologi Informasi The Indonesian Accounting Review Speed - Sentra Penelitian Engineering dan Edukasi Jurnal Desiminasi Teknologi Kajian Linguistik dan Sastra JURNAL BIOLOGI INDONESIA Syntax Literate: Jurnal Ilmiah Indonesia Ranah: Jurnal Kajian Bahasa IKRA-ITH Teknologi Jurnal Sains dan Teknologi Proceedings of the 1st UR International Conference on Educational Sciences Diglosia: Jurnal Kajian Bahasa, Sastra, dan Pengajarannya JURNAL PENDIDIKAN TAMBUSAI Jurnal Basicedu Jurnal Informasi dan Komputer Komposisi: Jurnal Pendidikan Bahasa, Sastra, dan Seni English Language Teaching and Research International Conference on Languages and Arts JOLLT Journal of Languages and Language Teaching Bulletin of Computer Science Research SPEED - Sentra Penelitian Engineering dan Edukasi Brilliance: Research of Artificial Intelligence Jurnal Ilmiah SIGMA: Informatics Engineering Journal of UPB Pedagogik : Jurnal Pendidikan Guru Sekolah Dasar Jurnal Basicedu International Journal Corner of Educational Research (IJCER) INTERNATIONAL JOURNAL OF LANGUAGE PEDAGOGY Educaniora: Journal of Education and Humanities Persona: Kajian Bahasa dan Sastra BAHASTRA VIDHEAS: Jurnal Nasional Abdimas Multidisiplin Jurnal Pelita Pengabdian El-Mujtama: Jurnal Pengabdian Masyarakat Abdi Humaniora: Jurnal Pengabdian Masyarakat Bidang Humaniora Soko Guru: Jurnal Ilmu Pendidikan
. Ermanto
Universitas Negeri Padang
Religion Aerospace Engineering Agriculture, Biological Sciences & Forestry Arts Humanities Astronomy Biochemistry, Genetics & Molecular Biology 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 Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Mathematics Physics Social Sciences Other

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Penggunaan Kosakata Informal dalam Kolom Komentar Akun Tiktok @Iniganta Ayunda, Putri; Ermanto, Ermanto
Persona: Kajian Bahasa dan Sastra Vol. 3 No. 1 (2024)
Publisher : Universitas Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/jpers.v3i1.199

Abstract

This study aims to (1) explain the form of informal vocabulary in the comment column of the Tiktok account @iniganta, (2) explain the morphological process of informal vocabulary in the comment column of the Tiktok account @iniganta, (3) explain the origin of informal vocabulary language in the comment column of the Tiktok account @iniganta. This research is qualitative research using a descriptive method. The results of this study are First, informal vocabulary in the comment column of the Tiktok account @iniganta found as many as 1634 data which includes, basic words found as many as 1262 data and derived words found as many as 372 data; Second, based on the morphological process, 372 data were found which included, (1) affixation found as many as 168 data, (2) acronymization found as many as 159 data, (3) composition found as many as 38 data, (4) reduplication found as many as 7 data, and (5) conversion was not found in the comment column of the Tiktok account @iniganta. Third, based on the origin of the language, three types of languages were found, including, (1) Indonesian found as many as 1167 data, (2) regional languages found as many as 138 data, and (3) foreign languages found as many as 329 data. Of the three types of languages that have been mentioned, the most dominant language used in the comment column of @iniganta Tiktok account is Indonesian.
Kekerabatan Bahasa Melayu Riau, Bahasa Minangkabau, dan Bahasa Batak Toba: Kajian Linguistik Historis Komparatif Yunisha, Rara; Ermanto, Ermanto
Persona: Kajian Bahasa dan Sastra Vol. 3 No. 2 (2024)
Publisher : Universitas Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/jpers.v3i2.214

Abstract

The research aims to achieve three main objectives. Firstly, it aims to determine the percentage of kinship between BMR, BM, and BBT. Secondly, it aims to determine the duration of separation between these three languages. And thirdly, it aims to describe the form of sound correspondence between them. The research methodology involves both qualitative and quantitative analysis. Qualitative analysis is utilized to describe sound correspondence, while quantitative analysis is employed to calculate the percentage of kinship and the duration of separation. Based on the findings of the data analysis, three conclusions can be drawn. Firstly, the percentage of kinship between BMR and BM is 87.5 percent, between BMR and BBT is 36 percent, and between BM and BBT is 35.5 percent. Secondly, the separation between BMR and BM occurred approximately 306 years ago, and the separation between BMR-BM and BBT occurred around 2,370 years ago starting from 2024. Lastly, sound correspondence was found in 120 vocabularies between BMR and BM, in 188 vocabularies between BMR and BBT, and in 156 vocabularies between BM and BBT out of the 500 research data instruments. In conclusion, the research establishes that BMR, BM, and BBT can be classified as a subfamily of Austronesian parent languages.
Konjungsi Bahasa Minangkabau pada Novel Rindu Banda Sapuluah Karya Ermanto Tolantang: Kajian Menggunakan Aplikasi Kortara Nurhanifah, Siti; Ermanto, Ermanto
Persona: Kajian Bahasa dan Sastra Vol. 3 No. 3 (2024)
Publisher : Universitas Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/jpers.v3i3.260

Abstract

The research entitled "Use of Minangkabau language conjunctions in the novel Rindu Banda Sapuluah by Ermanto Tolantang: Study using the Kortara Application" has two objectives. First, to describe the categorization of Minangkabau language conjunctions based on their position in the novel Rindu Banda Sapuluah by Ermanto Tolantang. Second, to describe the categorization of Minangkabau language conjunctions based on the task of their use in the novel Rindu Banda Sapuluah by Ermanto Tolantang. This type of research is qualitative research using descriptive methods. The data used in this research are sentences that describe the use of Minangkabau language conjunctions based on the categorization contained in the novel Rindu Banda Sapuluah by Ermanto Tolantang. The data source used in this research is the corpus of the novel Rindu Banda Sapuluah by Ermanto Tolantang. The data collected in this research was analyzed using the Kortara application. The data collected in this research is then analyzed using the following steps: (1) downloading the data obtained from the target corpus in the Kortara application into an Excel file, (2) identifying the data according to the research objectives, (3) classifying the data that has been collected identified in accordance with the research objectives, (4) formulating the results of the research findings. From the results of the research above, it can be concluded that the use of Minangkabau language conjunctions based on their position in the novel Rindu Banda Sapuluah contains 61 data. The data is classified based on its type, namely intrasentential conjunctions and extrasentential conjunctions. The use of Minangkabau language conjunctions based on the task of using them in the novel Rindu Banda Sapuluah contains 303 data.
Etika Berinternet dalam Upaya Menangkal Informasi HOAX Effendi, Muhammad Makmun; Ermanto, Ermanto; Zy, Ahmad Turmudi; Pradini, Purnama Sakhrial
Jurnal Pelita Pengabdian Vol. 1 No. 1 (2023): Januari
Publisher : DPPM Universitas Pelita Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37366/jpp.v1i1.1633

Abstract

dengan melakukan identifikasi dan memberikan tautan kepada sumber sebisa mungkin. Publik memiliki hak atas sebanyak mungkin informasi mengenai reliabilitas sumber. Dan selanjutnya jangan share informasi jika diketahui hal tersebut tidak akurat dan jika share informasi yang kurang jelas maka dengan tegas katakan dengan jelas bahwa informasi tersebut meragukan. Dari banyaknya remaja yang menggunakan media online ini, perlu adanya dorongan setiap sekolah dari tingkat SD sampai dengan perguruan tinggi terutama tempat yang akan diberikan sosialisasi adalah siswa SMK Al Amin Cibarusah, yang beralamat di Jl. Raya Cibarusah – Jonggol Km. 1.3 Kec. Cibarusah Kab. Bekasi Jawa Barat , dan dimana anak anak remaja ini masih labil dala pendirian dan masih mudah di giring ke opini yang tidak baik, maka perlu anak anak remaja ini diberikan edukasi dan berperan dalam hal mencegah penyebaran informasi berita hoax dan anak anak remaja terhindar dari tindakan kriminalitas dan juga mencegah agar remaja tidak terjebak di dalam penyebaran berita hoak tersebut dan bisa menggunakan media digital ini dengan benar dan tepat. Kata Kunci: Media Online, Etika, Hoax
Membentuk Generasi Rabbani Dalam Mensyiarkan Ekonomi Islam Melalui Kegiatan Diklat Ekonomi Syariah Di Universitas Pelita Bangsa Bekasi Aceng, Aceng Badruzzaman; Hamdan Ainulyaqin, Muhammad; Dwi Miharja, Muhammad Najamuddin; Ermanto, Ermanto; Fauzi, Ahmad
Jurnal Pelita Pengabdian Vol. 1 No. 2 (2023): July
Publisher : DPPM Universitas Pelita Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37366/jpp.v1i2.2398

Abstract

Ekonomi Islam sebagai suatu ilmu pengetahuan lahir melalui proses pengkajian ilmiah yang panjang, dimana pada awalnya terjadi sikap pesimis terkait eksistensi ekonomi Islam dalam kehidupan masyarakat saat ini. Hal ini terjadi karena di masyarakat telah terbentuk suatu pemikiran bahwa harus terdapat dikotomi antara agama dengan keilmuan. Label rabbani menggambarkan generasi emas umat (golden age) Islam. Generasi rabbani adalah generasi yang sukses, posisinya selalu berada dalam garis ajaran Islam, dan selalu mengajak orang lain untuk dekat dengan Allah. Generasi rabbani, generasi yang akan selalu berada di barisan terdepan dalam menegakkan kalimatullah, menegakkan syariat Islam. Generasi rabbani menjadi teladan karena secara duniawi generasi ini adalah orang-orang yang kaya jiwa dan unggul dari sisi ketaqwaannya. Sebagai agama yang berkarakter rabbani, universal dan kontekstual, Islam telah menyediakan sistem yang khas untuk menyelesaikan berbagai persoalan hidup yang dihadapi umatnya termasuk juga masalah ekonomi. Ekonomi Islam pada dasarnya merupakan upaya yang sistematis untuk memahami masalah ekonomi dan perilaku masyarakat dalam perspektif Islam. Ekonomi Islam merupakan ekonomi yang segala aktivitasnya selalu bersumber pada Al Qur’an, Assunnah, ijma’, dan maslahat. Tujuan yang hendak dicapai dalam ekonomi Islam adalah falah yakni mencapai kebahagiaan dunia dan akhirat. Ekonomi Islam memiliki karakteristik yang menjadi kekhasan yang berbeda dari ekonomi konvensional, mulai dari sumber hukum, tujuan, nilai, falsafah, dan prinsip. Hal inilah yang menjadi nilai unggul dari ekonomi Islam.
Afiksasi Reduplikasi dalam Novel Hikayat Dodon Tea dan Umar Galie: Metode Linguistik Korpus JR, Vicno Triwira Dhika; Ermanto, Ermanto
Educaniora: Journal of Education and Humanities Vol. 1 No. 2 (2023): July
Publisher : Institute of Humanities and Education Studies (IHES)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59687/educaniora.v1i2.38

Abstract

Penelitian ini bertujuan untuk menganalisis penggunaan afiksasi atau imbuhan yang mengalami pengulangan di dalam korpus novel Indonesia yang berjudul “Hikayat Dodon Tea dan Umar Galie” karya Ermanto Tolantang. Penelitian ini menggunakan pendekatan metode linguistik korpus deskriptif kualitatif, dan memanfaatkan aplikasi linguistik korpus KORTARA (Korpus Nusantara). Aplikasi KORTARA (Korpus Nusantara) dalam penelitian ini berfungsi sebagai tempat penyajian data, tempat pengumpulan data, dan tempat penganalisisan data. Data dalam penelitian ini berupa kalimat-kalimat yang menggunakan afiksasi pengulangan di dalam nove “Hikayat Dodon Tea dan Umar Galie”. Sumber data penelitian ini ialah korpus novel Indonesia yang berjudul Hikayat Dodon Tea dan Umar Galie. Teknik pengumpulan data yang digunakan dalam penelitian ini ialah teknik dokumentasi yang memanfaatkan file-file korpus di KORTARA (Korpus Nusantara). Teknik yang digunakan dalam penelitian ini ialah teknik linguistik korpus analisis komputasi. Berdasarkan penelitian yang telah dilakukan, diperoleh 11 data jenis afiksasi yang mengalami pengulangan (reduplikasi). 11 jenis afiksasi tersebut meliputi 7 data jenis prefiks (awalan) yang mengalami pengulangan, dan 4 data jenis konfiks (awalan-akhiran) yang mengalami pengulangan. Dalam data prefiks, pola yang digunakan berupa meng-, mem-, meN-, dan men-. Dalam data konfiks, pola yang digunakan berupa ke/an-, di/kan-, dan meng/kan-. Penelitian ini tidak menemukan penggunaan afiksasi jenis infiks, karena penggunaan sisipan yang diulang tidak lazim ditemukan dalam novel.
Tindak Tutur Ekspresif dalam Novel Sansai dan 7 Cinta Si Anak Kampung Karya Ermanto Tolantang: Pendekatan Linguistik Korpus Zary, Milan; Ermanto, Ermanto
Jurnal Basicedu Vol. 7 No. 1 (2023)
Publisher : Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/basicedu.v7i1.4654

Abstract

Masalah yang belum terpecahkan dalam tindak tutur ekspresif khususnya karya sastra, yaitu novel adalah belum ditemukannya konteks situasi tutur yang memenuhi unsur SPEAKING. Tujuan dari penelitian ini adalah untuk memberikan penjelasan tentang (jenis, strategi, konteks, dan fungsi pragmatis) dari tindak tutur yang terkategori ekspresif dalam novel Sansai dan 7 Cinta Si Anak Kampung karya Ermanto Tolantang. Jenis penelitian ini adalah penelitian kualitatif dengan menggunakan metode deskriptif analisis. Data penelitian ini berupa tuturan yang mengacu terhadap tindak tutur ekspresif yang ada di dalam novel Sansai dan 7 Cinta Si Anak Kampung karya Ermanto Tolantang. Teknik pengumpulan data di dalam penelitian ini menggunakan teknik dokumentasi, yaitu sumber tertulis novel Sansai dan 7 Cinta Si Anak Kampung karya Ermanto Tolantang berbentuk dokumen sebagai tempat pengumpulan datanya dibantu dengan teknologi linguistik korpus, yaitu korpus nusantara. Hasil penelitian menunjukkan bahwa terdapat (jenis, strategi, konteks, dan fungsi pragmatis) dari tindak tutur yang terkategori ekspresif di dalam novel Sansai dan 7 Cinta Si Anak Kampung karya Ermanto Tolantang dan dapat diimplikasikan di dalam pembelajaran teks novel remaja asli atau terjemahan pada kelas VIII SMP.
Kortara: The Process of Forming Acronyms on Indonesian Military Academy Corpus Dhika JR, Vicno Triwira; Ermanto, Ermanto
Humanus Vol 22, No 2 (2023)
Publisher : Pusat Kajian Humaniora FBS Universitas Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/humanus.v22i2.122316

Abstract

This study aims to examine the process of forming acronyms on the Indonesian military academy corpus in KORTARA using a corpus linguistics approach. The method used is a descriptive corpus linguistic approach. The data source for this research is the Akmil blog website which is accessed through the linguistic application Korpus Nusantara (Korpus Nusantara) on the page https://korpusnusantara.fbs.unp.ac.id/. The data collection technique used in this research is the documentation technique, which analyzes the target data in the form of corpus files in KORTARA (Korpus Nusantara). This study used computational linguistic analysis techniques for the linguistic application of the KORTARA corpus (Korpus Nusantara). Based on the research that has been done, 723 acronym data were obtained on the Akmil blog website. The 723 acronyms include combining syllables (29 data), combining syllables with letters (334 data), combining letters with letters (357 data), combining syllables with words (2 data), and combining letters with words (1 data).  This study also discovered the process of forming new acronyms, in the form of combining letters with words.
Implementation of the Naive Bayes Algorithm for Death Due to Heart Failure Using Rapid Miner Surojudin, Nurhadi; Ermanto, Ermanto; Danny, Muhtajuddin; Pratama, Suria
Brilliance: Research of Artificial Intelligence Vol. 4 No. 1 (2024): Brilliance: Research of Artificial Intelligence, Article Research May 2024
Publisher : Yayasan Cita Cendekiawan Al Khwarizmi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/brilliance.v4i1.4136

Abstract

Until now there is no treatment that can specifically treat heart failure problems. Heart failure treatment only functions to control symptoms, improve quality of life so that patients can carry out normal activities, and reduce the risk of complications due to heart failure such as heart rhythm disturbances, kidney and lung function disorders, stroke, and sudden death. Heart failure is a condition when the heart pump weakens so that it is unable to circulate sufficient blood throughout the body. This condition is also called congestive heart failure. Until now there is no treatment that can specifically treat heart failure problems. This research is a descriptive study which aims to describe the condition of heart failure. By using classification techniques in data mining on data from patients suffering from heart failure using the Naive Bayes algorithm. By using the Rapid Miner tool, data processing is based on the dataset, using classification techniques and data mining stages to classify data on patients suffering from heart failure. By using the Rapid Miner tool, the data processing that will be used as a data collection in this research is collected into 90% training data and 10% testing data. The research results showed an accuracy rate of 80.00%, precision of 66.67% and recall of 100.00%. Based on the research that has been conducted, it is concluded that classification techniques using the Naive Bayes algorithm can be used to determine the potential for life and death in heart failure sufferers.
Association Rule to Increase Sales Using the Apriori Algorithm Method Ermanto, Ermanto; Halim Anshor, Abdul; Arwan Sulaeman, Asep; Winarni, Sri
Brilliance: Research of Artificial Intelligence Vol. 4 No. 1 (2024): Brilliance: Research of Artificial Intelligence, Article Research May 2024
Publisher : Yayasan Cita Cendekiawan Al Khwarizmi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/brilliance.v4i1.4185

Abstract

The Apriori algorithm is a data mining technique used to find relationship patterns between items in a transaction dataset. In this context, the Apriori algorithm will be used to identify products that are often purchased simultaneously by customers. By understanding these purchasing patterns, companies can design more effective marketing strategies, such as strategic product placement, bundling package offers, and special promotions. This research involves several stages, starting from collecting sales transaction data, data preprocessing, applying the Apriori algorithm, to interpreting the results. The transaction data used is taken from the sales database of a retail store during a certain period. After the data is processed, the Apriori algorithm is applied to identify frequent itemsets and form association rules. The results of this research show that there are several significant purchasing patterns, such as a combination of product A and product B which are often purchased together. By applying data mining using the a priori algorithm method, you can find out which products sell the most. From the results of manual calculations it was found that consumers who bought RB 1060 would buy RB 1099 with 81% confidence, whereas using WEKA it was found that consumers who bought RB 1060 would buy RB 1099 with a confidence value of 82%.
Co-Authors Abdulkarim Duerawee Aceng, Aceng Badruzzaman Agus Syahrani Agusmanto Agusmanto Ahmad, Ali Nur Aisyah Nurul Aini Alfi, Asysyifa Hazira Ali Djamhuri Alvionita, Feni Amar Salahuddin Amril Amir Ana A'laikum Andria Catri Tamsin Anggrina, Silvia Aprila Hardi, Resty Ardiyanto, Hernawan ARIF SUSILO Arni, Yuni Arrasyid, Iqbal Arwan Sulaeman, Asep Asfar, Dedy Ari Ayu Fiska Nurina Ayu Fiska Nuryna Ayunda, Putri B, Refliza Badruzzaman, Aceng Bakhtaruddin Nst. Butsianto, Sufajar D. Sasongko Dedi Saputra Nasri Deni Nofrina Zurmita Dhika JR, Vicno Triwira Djoko Nugroho Doni Mardiansyah Dwi Dwi Dwi Silviyani Dwi Yuniarsih Effendi, Muhammad Makmun Eko Putra, Fibi Ella Sumidita Ellya Ratna Emidar . Emidar Emidar Ena Noveria Erizal Gani Ermawati Arief Farida Meliana Hutabarat Fatimah . Faula Ismi Fauzi Ahmad Muda Febriana, Noni Febyuharnedi Fiqih Satria Gerry Thaufik Gusnetti Gusnetti Gusnetti Gusnetti Halim Anshor, Abdul Halimiyah Halimiyah Hamidin Hamidin Hardika Hutriana Putri Harris Effendi Thahar Haryani - Universitas Surakarta Haryani . Hasanuddin . Hasanuddin WS Hasanuddin WS Hasnah Faizah AR Havid Ardi Hernawan Ardiyanto Hesti Fiska Putri Hisniati, Sally Badriya Ida Ayu Putu Sri Widnyani Indra Prasetya, Dwi Irfani Basri Irvan, M. Irvansyah, Alif Irzal Amin Jamaludin, Asep Jantisiana, Nur Mentari Jaya Nasa Perta JR, Vicno Triwira Dhika Liga Febrina Lubis, Nurhabibah M Zaim M. Baroya, M. M. Ismail Nst. M. Zaim Mahrup ., Mahrup Maiyola, Olin Maulani, Intan Suri Mega Silvia Megasari Martin Mezri Helti Midisen, Kisanda Miharja, Muhammad Najamuddin Dwi Milan Zary Muhamad Fatchan Muhammad Hamdan 'Ainulyaqin Muhammad Najamuddin Dwi Miharja Muhammad, Satria Agung muhidin, asep Muhtajuddin Danny Mutiara Tri Rahayu Mutiara Tri Rahayu, Mutiara Tri najamuddin, muhammad Neldawati . Nency, Afrilla Purya Ngusman Ngusman Ni Ketut Surasni Ni Ketut Surasni Nika Sari Nissaq, Mona Azhari Novendra, Novendra Novia Juita Novia Novia Nurani, Sri Nurassyiyah, Siti Nursaid Pepi Sumanti Pina Herlia Ningsi Pitria Wahyu Fauzana Pradini, Purnama Sakhrial Pramita, Dice Dian Pratama, Suria Puspitaloka, Nina Ramadhan, Aldi Ramadhani, Gusma Suci Ramanda, Arnola Dwika Ricci Gemarni Tatalia Rika Astuti Rosnilawati Rosnilawati Rosyidah . Rozi Fitri Hartati Saputra, Romi sarwo edy Setyaningrum, Retno Purwani Setyaningrum SH. Fadlillah, SH. Silva Hasma Junianti Silvia Yurnianti Sinambela, Sahat Siswandi, Arif Siti Nurhanifah, Siti Sri Winarni Sudiadi . Suhatman Jaya Surojudin, Nurhadi Suryadi Suryadi Suryadi Syahrul R Syahrul R. Syahrul Syahrul TP. Priyatno, TP. TS. Kadir, TS. Vivi Kurnia Wahyuningsi, Endang Wawan . Winda Elmita Y. Suryadi, Y. Yelvi Rahmadani Yossie Ana Welvi Yunisha, Rara Yurnelis . Zainil, Yetti Zary, Milan Zri Andayani Zulfadhli Zulfadhli Zulfadhli Zulfadhli Zulfikarni Zulfikarni Zy, Ahmad Turmudi