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All Journal International Journal of Electrical and Computer Engineering Tekno : Jurnal Teknologi Elektro dan Kejuruan Teknologi dan Kejuruan: Jurnal teknologi, Kejuruan dan Pengajarannya Jurnal Inovasi Teknologi Pendidikan International Journal of Advances in Intelligent Informatics Proceeding of the Electrical Engineering Computer Science and Informatics JOIN (Jurnal Online Informatika) Briliant: Jurnal Riset dan Konseptual JOIV : International Journal on Informatics Visualization Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Journal of Information Technology and Computer Science INTENSIF: Jurnal Ilmiah Penelitian dan Penerapan Teknologi Sistem Informasi Knowledge Engineering and Data Science Pendas : Jurnah Ilmiah Pendidikan Dasar Cetta: Jurnal Ilmu Pendidikan ILKOM Jurnal Ilmiah at-tamkin: Jurnal Pengabdian kepada Masyarakat SENTIA 2016 SENTIA 2015 MATRIK : Jurnal Manajemen, Teknik Informatika, dan Rekayasa Komputer Jurnal Karinov TRIDARMA: Pengabdian Kepada Masyarakat (PkM) Edunesia : jurnal Ilmiah Pendidikan Letters in Information Technology Education (LITE) Jurnal Teknik Informatika (JUTIF) Journal of Applied Data Sciences Jurnal Riset dan Aplikasi Mahasiswa Informatika (JRAMI) DECODE: Jurnal Pendidikan Teknologi Informasi Bulletin of Community Engagement Journal of Education Research Jurnal Sistem Informasi Triguna Dharma (JURSI TGD) Jurnal Ekonomi, Bisnis dan Pendidikan (JEBP)
Didik Dwi Prasetya
Universitas Negeri Malang
Religion Agriculture, Biological Sciences & Forestry Arts Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Languange, Linguistic, Communication & Media Mathematics Social Sciences Other

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Pengembangan Aplikasi “Si Patin” Sebagai Media Pembelajaran pada Elemen Pembesaran Komoditas Perikanan Air Tawar Kelas XI SMK Ida Agus Setyani; Didik Dwi Prasetya; Tuwoso Tuwoso
BRILIANT: Jurnal Riset dan Konseptual Vol 8 No 4 (2023): Volume 8 Nomor 4, November 2023
Publisher : Universitas Nahdlatul Ulama Blitar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28926/briliant.v8i4.1644

Abstract

Salah satu pengaruh perkembangan teknologi dan informasi dalam kehidupan sehari-hari adalah penggunaan smarphone. Penggunaan  smartphone  yang terbanyak pada siswa adalah untuk bermain games dan media sosial. Untuk menanggulangi hal tersebut perlu adanya inovasi penggunaan  smartphone  sebagai media pembelajaran sehingga siswa dapat belajar dengan mandiri melalui smartphone yang mereka punya, termasuk pada elemen Teknik Pembesaran Komoditas Perikanan Air Tawar SMK kelas XI, yang sudah menggunakan aplikasi Si Patin untuk melakukan pemberian pakan dan pengukuran kualitas air pada kegiatan praktik pembesaran ikan. Metode penelitian dan pengembangan yang digunakan adalah model ADDIE (Analysis, Design, Developmen, Implementation, and Evaluation),  karena sederhana, tahapan-tahapannya tidak terlalu panjang dan mudah untuk dipahami, selain itu di akhir setiap tahapan dapat dilakukan evaluasi sehingga dapat meminimalisir tingkat kesalahan dan kekurangan produk yang dikembangkan. Pengujian dilakukan oleh ahli media, ahli materi, dan uji kelompok kecil. Instrumen  pengumpulan data untuk mengetahui kelayakan pengembangan aplikasi Si Patin, menggunakan angket. Berdasarkan hasil analisis data validasi persentase kelayakan ahli media sebesar 96,05%, ahli materi sebesar 96,15%, dan hasil respon peserta didik pada uji kelompok kecil mendapatkan persentase sebesar 92,5%. Dengan demikian pengembangan aplikasi  Si Patin sangat layak digunakan sebagai media pembelajaran pada elemen pembesaran komoditas perikanan air tawar Kelas XI SMK.
Relevansi Tempat Prakerin, Pengalaman Bermakna Saat Praktikum dan Iklim Kelas Terhadap Kematangan Vokasional Siswa SMK di Kota Blitar Maulana Nur Antoro Putro; Didik Dwi Prasetya; Lismi Animatul Chisbiyah
BRILIANT: Jurnal Riset dan Konseptual Vol 9 No 2 (2024): Volume 9 Nomor 2, Mei 2024
Publisher : Universitas Nahdlatul Ulama Blitar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28926/briliant.v9i2.1738

Abstract

The aim of this research is to reveal the relationship between the place of internship (X1), meaningful experiences during the practicum (X2), and classroom climate (X3) on vocational maturity (Y) both partially and simultaneously and to describe each variable. The research design used is quantitative with descriptive correlational research. The sample from this research was class Based on data analysis, it is known that there is a significant relationship between the relevance of the internship site and vocational maturity at 26%, while the relationship between meaningful experiences during practicum and vocational maturity is 17% and the relationship between class climate and vocational maturity is 55%. Thus, the effective contribution of the independent variable (X) to the dependent variable (Y) is 98%. The conclusion of this research is that there is a positive and significant relationship, both partially and simultaneously, between the relevance of the internship site, meaningful experiences during practicum and classroom climate on the vocational maturity of class XII vocational school students majoring in Electrical Power Installation Engineering in Blitar City. 
Pembelajaran Kolaboratif di SMK: Peran Kerja Sama Siswa dalam Meningkatkan Keterampilan Soft skills Rofiudin, Amir; Prasetya, Luhur Adi; Prasetya, Didik Dwi
Journal of Education Research Vol. 5 No. 4 (2024)
Publisher : Perkumpulan Pengelola Jurnal PAUD Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37985/jer.v5i4.672

Abstract

Sekolah Menengah Kejuruan (SMK) memiliki peran penting dalam mempersiapkan siswa memasuki dunia kerja. Keterampilan soft skills, seperti komunikasi, kerja sama tim, dan pemecahan masalah, menjadi faktor utama kesuksesan di tempat kerja. Pembelajaran kolaboratif, yang melibatkan siswa bekerja sama secara aktif, terbukti efektif dalam mengembangkan keterampilan. Studi ini bertujuan untuk mengeksplorasi konsep pembelajaran kolaboratif dan peran kerja sama siswa dalam meningkatkan soft skills di SMK.  Penelitian ini menggunakan metode studi literatur dengan melakukan tinjauan terhadap artikel ilmiah, buku, dan jurnal yang relevan mengenai pembelajaran kolaboratif di SMK. Hasil penelitian menunjukkan bahwa pembelajaran kolaboratif secara signifikan meningkatkan kemampuan komunikasi, kerja sama tim, dan pemecahan masalah siswa. Selain itu, pendekatan ini juga memperkuat keterampilan interpersonal yang sangat penting dalam kehidupan profesional dan pribadi. Temuan ini memberikan wawasan signifikan untuk pengembangan kurikulum SMK yang lebih holistik, dengan fokus tidak hanya pada keterampilan teknis, tetapi juga pengembangan soft skills yang esensial di dunia kerja.
Feature Space Augmentation for Negation Handling on Sentiment Analysis Ilmawan, Lutfi Budi; Muladi, Muladi; Prasetya, Didik Dwi
ILKOM Jurnal Ilmiah Vol 15, No 2 (2023)
Publisher : Prodi Teknik Informatika FIK Universitas Muslim Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33096/ilkom.v15i2.1695.353-357

Abstract

One crucial issue affecting the performance of sentiment analysis tasks is negation. Handling negation involves determining the negation scope and negation cue. Feature space augmentation is one approach used to address negation. Feature space augmentation has been carried out by some previous researchers using a negation flag with the rule that the negation scope includes all words from the explicit negation cue to the punctuation mark. This study aimed to analyze the classifier's performance when negation handling was applied by adding a new rule for the negation scope. The new rule for determining the negation scope no longer took all words from the negation cue to the punctuation mark, but only considered or ignored words with certain POS tags. The results of this study showed that using the new rule for negation scope contributed to improving the performance of the classifier in sentiment analysis tasks. The proposed approach for negation handling was better than the previous approach in terms of accuracy, precision, recall, and f1-score.
Implementation of Smart Corn Planter (SCP) to Support Food Security in Agricultural Area Gondosuli Village Probolinggo Regency Iskandar Syah, Abdullah; Tri Handoko, Wahyu; Zainul Falah, Moh.; Kurniawan, Ryan; Hafid, Ahmad; Dwi Prasetya, Didik
Bulletin of Community Engagement Vol. 3 No. 2 (2023): Bulletin of Community Engagement
Publisher : CV. Creative Tugu Pena

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51278/bce.v3i2.645

Abstract

Gondosuli Village is located in Pakuniran, Probolinggo, East Java, and has an area of 11.66 km² (4.50 sq mi), consisting of agricultural land, settlements, public facilities, and mountain forests beneath Mount Rengganis. crops in Gondosuli village are dominated by rice and corn during the rainy season, and tobacco during the dry season. Corn has an important role as a commercial commodity in this village because it is used as animal feed, industrial raw materials, and also as a food ingredient. The process of planting seeds in Gondosuli village itself is still classified as using the traditional method where only using wood as a seed hole maker, and the seeds are inputted by human labor, and the distance between the seeds is only estimated by the farmer, in this way the seed planting process requires a lot of effort and time. big. A push corn planting tool or Smart corn planter is a tool used to grow corn efficiently and effectively on agricultural land. By using the Smart corn planter, farmers can grow corn quickly and more easily, and save effort and time. In addition, this tool can also help produce regular and even corn crops. Keywords: Smart Corn Planter (SCP), Gondosuli Village, Support Food Security
Negation handling for sentiment analysis task: approaches and performance analysis Ilmawan, Lutfi Budi; Muladi, Muladi; Prasetya, Didik Dwi
International Journal of Electrical and Computer Engineering (IJECE) Vol 14, No 3: June 2024
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijece.v14i3.pp3382-3393

Abstract

Negation plays an essential role in sentiment analysis within natural language processing (NLP). Its integration involves two key aspects: identifying the scope of negation and incorporating this information into the sentiment model. Before delving into scope detection, the specific negation cue must be identified, with explicit and implicit negation cues being the two main types. Various methodologies, such as rule-based, machine learning, and hybrid approaches, address the negation scope detection challenge. Strategies for leveraging negation information in sentiment models encompass heuristic polarity modification, feature space augmentation, end-to-end approach, and hierarchical multi-task learning. Notably, there is a need for more studies addressing implicit negation cue detection, even within the state-of-the-art bidirectional encoder representation for transformers (BERT) approach. Some studies have employed reinforcement learning and hybrid techniques to address the implicit negation problem. Further exploration, particularly through a hybrid and multi-task learning approach, is warranted to make potential contributions to the nuanced challenges of handling negation in sentiment analysis, especially in complex sentence structures.
Detecting emotions using a combination of bidirectional encoder representations from transformers embedding and bidirectional long short-term memory Wibawa, Aji Prasetya; Cahyani, Denis Eka; Prasetya, Didik Dwi; Gumilar, Langlang; Nafalski, Andrew
International Journal of Electrical and Computer Engineering (IJECE) Vol 13, No 6: December 2023
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijece.v13i6.pp7137-7146

Abstract

One of the most difficult topics in natural language understanding (NLU) is emotion detection in text because human emotions are difficult to understand without knowing facial expressions. Because the structure of Indonesian differs from other languages, this study focuses on emotion detection in Indonesian text. The nine experimental scenarios of this study incorporate word embedding (bidirectional encoder representations from transformers (BERT), Word2Vec, and GloVe) and emotion detection models (bidirectional long short-term memory (BiLSTM), LSTM, and convolutional neural network (CNN)). With values of 88.28%, 88.42%, and 89.20% for Commuter Line, Transjakarta, and Commuter Line+Transjakarta, respectively, BERT-BiLSTM generates the highest accuracy on the data. In general, BiLSTM produces the highest accuracy, followed by LSTM, and finally CNN. When it came to word embedding, BERT embedding outperformed Word2Vec and GloVe. In addition, the BERT-BiLSTM model generates the highest precision, recall, and F1-measure values in each data scenario when compared to other models. According to the results of this study, BERT-BiLSTM can enhance the performance of the classification model when compared to previous studies that only used BERT or BiLSTM for emotion detection in Indonesian texts.
Analisis Penggunaan Listrik PLN di Jawa Timur Menggunakan Algoritma K-Medoids Hafiizh, Muhammad; Prasetyo, Muchamad Wahyu; Prasetya, Didik Dwi
Jurnal Riset dan Aplikasi Mahasiswa Informatika (JRAMI) Vol 5, No 02 (2024): Jurnal Riset dan Aplikasi Mahasiswa Informatika (JRAMI)
Publisher : Universitas Indraprasta PGRI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30998/jrami.v5i2.10606

Abstract

Listrik merupakan kompoen penting dalam kehidupan sekarang dan masa yang akan datang, untuk meningkatkan efisien produksi listrik di masa mendatang, maka perlunya dilakukan pengolahan data dari tahun tahun sebelumnya. Dalam pengolahan data ini peneliti mempunyai tujuan untuk melakukan forecasting kebutuhan listrik dimasa mendatang di Provinsi Jawa Timur, selain kebutuhan listrik harapannya peneliti dalam melakukan forecasting pada listrik terjula, jumlah data terpasang dan pelanggan listrik. Dalam melakukan forecasting peneliti menggunakan metode K-Medoids dalam pengelompokan (Clustering) Produksi Listrik, Listrik Terjual, Data Terpasang, dan Jumlah Pelanggan di Provinsi Jawa Timur. Dari data pengelompokan tersebut diperoleh 3 cluster, yaitu cluster rendah terdiri dari 2 data dan kota, cluster sedang terdiri dari 23 data dan kota, cluster tinggi terdiri dari 25 data dan kota. Diharapkan dengan adanya forecasting dapat meningkatkan efisiensi dalam penggunaan dan produksi listrik dimasa mendatang sehingga listrik dapat terus tersedia dalam keberlangsungan hidup manusia.
LSTM-Based Machine Translation for Madurese-Indonesian Sulistyo, Danang Arbian; Wibawa, Aji Prasetya; Prasetya, Didik Dwi; Ahda, Fadhli Almu'iini
Journal of Applied Data Sciences Vol 4, No 3: SEPTEMBER 2023
Publisher : Bright Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47738/jads.v4i3.113

Abstract

Madurese is one of the regional languages in Indonesia, which dominates East Java and Madura Island in particular. The use of Madurese as a daily language has declined significantly due to a language shift in children and adolescents, some of which are caused by a sense of prestige and difficulty in learning Madurese. The scarcity of research or scientific titles that raises the Madurese language also helps reduce literacy in the language. Our research focuses on creating a translation machine for Madurese to Indonesian to maintain and preserve the existence of the Madurese language so that learning can be done through digital media. This study use the latest dataset for the Madurese-Indonesian language by using a corpus of 30,000 Madura-Indonesian sentence pairs from the online Bible. This study scrapped online Bible pages to organize the corpus based on the Indonesian and Madurese bilingual Bible. Then This study manually process text to match the two languages' scrapping results, normalization, and tokenization to remove non-printable characters and punctuation from the corpus. To perform neural machine translation (NMT), This study connected the RNN encoder with the RNN decoder of the language model, while for training and testing, This study used a sequential model with LSTM, while the BLEU measure was used to assess the accuracy of the translation results. This study used the SoftMax optimization function with Adam Optimizer and added some settings, including using 128 layers in the training process and adding a Dropout layer so that This study got the average evaluation result for BLEU-1 is 0.798068, BLEU-2 is 0.680932, BLEU-3 is 0.623489, and for BLEU-4 is 0.523546 from five tests conducted. Given the language differences between Madurese and Indonesian, this can be the best approach for machine translation of Indonesian to Madurese.
PENCEGAHAN PERUNDUNGAN DARING BAGI PESERTA DIDIK TINGKAT SEKOLAH MENENGAH PERTAMA (SMP) Mega Oktaviana; Didik Dwi Prasetya; Natalina Wahyu Siswijayanti
Jurnal Ekonomi, Bisnis dan Pendidikan Vol. 4 No. 1 (2024)
Publisher : Universitas Negeri Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Di era digital teknologi informasi dan komunikasi khususnya media sosial meningkat secara signifikan, namun dalam perkembangnya terdapat dampak negatif yang menyertainya salah satunya adalah perundungan daring. Perundungan daring di kalangan remaja SMP merupakan salah satu permasalahan serius yang perlu dicegah guna meminimalisir kerugian bagi korban di masa mendatang. Bentuk penelitian yang diterapkan dalam artikel ini merupakan penelitian berbasis tinjauan literasi, data yang digunakan berupa data yang berasal dari informasi teks yang diperoleh dari basis data Google Scholar yang dipublikasikan antara tahun 2019 hingga tahun 2024. Hasil penelitian mengidentifikasi faktor-faktor penyebab perundungan daring berupa faktor dalam diri (internal) dan faktor lingkungan (eksternal). Selain itu diperlukan berbagai langkah dalam mencegah perundungan daring bagi peserta didik di tingkat SMP, merupakan tugas bagi seluruh lapisan masyarakat agar dapat lebih bijak dalam menggunakan media sosial dan mencipatakan lingkungan yang lebih positif sehingga perundungan daring dapat diminimalisir secara signifikan. Perundungan daring bukanlah masalah yang dapat diabaikan agar menciptakan lingkungan digital yang aman dan nyaman bagi semua pengguna.
Co-Authors Abdul Wafi Adi Wahyu Wardani Ahmad Fajruddin Syauqi Ainun Nur Baiti Aji P Wibawa Aji Prasetya Wibawa Akbar, Asna Isyarotul Andika Dwiyanto, Felix Andrew Nafalski Anik Nur Handayani Anjar Dwi Rahmawati Arifiati Fitri Anggraini Aryo Pinandito Ashar, Muhammad Azhar Ahmad Smaragdina Bagaskoro Biantoro, Yudhi Bintang Romadhon Cakir, Gulsun Kurubacak Denis Eka Cahyani Dwi Widiyasari Dyah Ayu Langening Tyas Ella Amelia Widodo Erlik Prasetyo Wahyudi F.ti Ayyu Sayyidul Laily Fadhli Almu’iini Ahda Fadli Hidayat, M. Noer Fatrisna Salsabila, Reni Firdaus, Nabilah Zakiyah Salmaa Gigih Perkasa Gradiyanto Radityo Kusumo Hafid, Ahmad Hakkun Elmunsyah Hanifah Muslimah Az-Zahra, Hanifah Muslimah Haq, Salsabila Thifal Nabil Hariyanto Hariyanto Hayashi, Yusuke Hirashima, Tsukasa I Nyoman Gede Arya Astawa Ida Agus Setyani Intan Sulistyaningrum Sakkinah Iskandar Syah, Abdullah KHOIRUL ANWAR Kusumo, Gradiyanto Radityo Laily, F.ti Ayyu Sayyidul Lalu Ganda Rady Putra Langlang Gumilar Lismi Animatul Chisbiyah Lutfi Budi Ilmawan, Lutfi Budi M. Ajie Kalifatullah Marsono Marsono Maulana Nur Antoro Putro Mayadi, Mayadi Mega Oktaviana Moh. Nur Zamzami Moh. Zainul Falah Mokhamad Nuryakin Muhammad Arief Nugroho Muhammad Aris Ichwanto muhammad hafiizh, muhammad Muhammad Jauharul Fuady Muhammad Mushawwir Mukhamad Angga Gumilang Muladi Nafalski, Andrew Nanscy Evi Wardani Natalina Wahyu Siswijayanti Nena Erviana Nunung Nurjanah Nur Hidayat, Wahyu Prasetya, Luhur Adi Prasetyo, Muchamad Wahyu Pratama, Wahyu Styo Prihandicha, Adiftya Bayu Ratnaduhita, Nadiah Alma Reni Fatrisna Salsabila Ridlo, Muhammad Zidni Rofiudin, Amir Ryan Kurniawan Samodra, Joko Setiadi Cahyono Putro Setiawan, Ahmad Yusuf Sigit Perdana Siti Sendari Sofiya Anggraini Sucipto Sucipto Sucipto Sucipto Sulistyo, Danang Arbian Syaad Patmanthara Syaichul Fitrian Akbar Syamsul Arifin Triyanna Widiyaningtyas Triyanna Widyaningtyas Triyanna Widyaningtyas, Triyanna Tsukasa Hirashima Tsukasa Hirashima Tsukasa Hirashima Tuwoso Utomo Pujianto Wahyu Sakti Gunawan Irianto Wahyu Tri Handoko Wardani, Adi Wahyu Wibawa, Aji P Wibisono Sukmo Wardhono, Wibisono Sukmo Widiyanti Widiyanti, Widiyanti Wiryawan, Muhammad Zaki Yana Andayani Yusril Imamuddin Zainul Falah, Moh.