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All Journal Jurnal Penelitian dan Pengembangan Pendidikan Jurnal Pendidikan dan Pembelajaran Khatulistiwa (JPPK) Jurnal Teknologi Informasi dan Ilmu Komputer Jurnal Ilmu Sosial dan Ilmu Politik (JISIP) Media Penelitian Pendidikan : Jurnal Penelitian dalam Bidang Pendidikan dan Pengajaran SASINDO E-Dimas: Jurnal Pengabdian kepada Masyarakat Journal DaFIna - Journal Deutsch als Fremdsprache in Indonesien SASINDO Jurnal Ilmiah Universitas Batanghari Jambi Arsitektura : Jurnal Ilmiah Arsitektur dan Lingkungan Binaan Desimal: Jurnal Matematika Indonesian Journal of Artificial Intelligence and Data Mining JURNAL PENDIDIKAN TAMBUSAI Jurnal Ilmiah Mandala Education (JIME) Jurnal Kajian Ilmiah Kesehatan Dan Teknologi (JKIKT) Social, Humanities, and Educational Studies (SHEs): Conference Series Bhamada: Jurnal Ilmu dan Teknologi Kesehatan (E-Journal) Jurnal Bahasa Indonesia bagi Penutur Asing (JBIPA) Journal of Food and Culinary Indonesian Journal of Business Intelligence (IJUBI) Academic Journal of Educational Sciences (Jurnal Akademik bidang Ilmu-Ilmu Pendidikan) Vox Populi Economicus: Jurnal Ekonomi dan Manajemen Jurnal Pustaka Mitra : Pusat Akses Kajian Mengabdi Terhadap Masyarakat International Journal on Education Insight PEDAGOGI: Jurnal Ilmiah Pendidikan International Journal of Ethno-Sciences and Education Research Jurnal Peradaban Masyarakat (JPM) Journal of Artificial Intelligence and Digital Business Ta'rim: Jurnal Pendidikan dan Anak Usia Dini eProceedings of Engineering Innovative: Journal Of Social Science Research IJESPG (International Journal of Engineering, Economic, Social Politic and Government) journal Sasindo : Jurnal Pendidikan Bahasa dan Sastra Indonesia Kohesi: Jurnal Sains dan Teknologi Morfologi : Jurnal Ilmu Pendidikan, Bahasa, Sastra dan Budaya Jurnal Pengabdian Masyarakat dan Riset Pendidikan VISA: Journal of Vision and Ideas Jurnal Accounting Information System (AIMS) Journal of Chemical Engineering Research Progress Jurnal Riset Teknik Komputer Seroja Husada: Jurnal Kesehatan Masyarakat KALBISIANA Jurnal Sains, Bisnis dan Teknologi Epaper Bisnis: International Journal Entrepreneurship and Management Bhamada: Jurnal Ilmu dan Teknologi Kesehatan (E-Journal) Jurnal Agrisep Jurnal Pengabdian Kepada Masyarakat Jurnal Penerjemahan Jurnal Hubungan Internasional Indonesia (JHII)
Larasati Larasati
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Recurrent Neural Networks (RNN) and Long Short-Term Memory (LSTM) Methods to Forecast Daily Turnover at BM Motor Ngawi Larasati, Larasati; Saadah, Siti; Yunanto, Prasti Eko
Indonesian Journal of Artificial Intelligence and Data Mining Vol 7, No 1 (2024): March 2024
Publisher : Universitas Islam Negeri Sultan Syarif Kasim Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24014/ijaidm.v7i1.27643

Abstract

The number of motorcycles on the report of Indonesian BPS statistics from the Indonesian State Police between 2019 to 2021 by its type has increased annually. Routine motorcycle checks, services, and maintenance are essential to keep a motorcycle in good condition and more durable; therefore, buying spare parts is enlarged in line with the growth of public motorcycle ownership. The necessity of buying spare parts increases with the growth of public motorcycle ownership. Numerous stores in Ngawi offer motorcycle spare parts and check services for routine motorcycle maintenance. One of these stores is BM Motor. To develop an effective product-selling strategy, it is essential to forecast the daily turnover of the shop. To achieve this, the present research aims to analyze the daily turnover using Recurrent Neural Networks (RNN) and Long Short-Term Memory (LSTM). These methods were applied to a time-series dataset, allowing for an in-depth examination of the patterns and trends in the shop's turnover. The research compares several hyperparameter tunings and scenarios to optimize the models that forecast daily turnover data at the store. The outcomes presented that the LSTM model achieved a lesser MAE score of 0.087, while the RNN model scored 0.092. These findings proved that the LSTM model achieved lower MAE than the RNN model, it means LSTM is more accurate than the RNN model.
Analisis Pengaruh Likuiditas, Leverage dan Ukuran Perusahaan terhadap Agresivitas Pajak Larasati, Larasati; Djunaedi, Mira Kartika Dewi
KALBISIANA Jurnal Sains, Bisnis dan Teknologi Vol. 10 No. 2 (2024): Kalbisiana
Publisher : UNIVERSITAS KALBIS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53008/kalbisiana.v10i2.518

Abstract

Taxes is one of sources income for countries, in which taxes contribute 71% of total revenue. Taxes are considered as a burden by the company, it is necessary to do a strategy to reduce the tax burden. Reducing the tax will cause companies to be aggressive towards taxes. The purpose of this study is to determine the effect of liquidity, leverage and company size on tax aggressiveness in consumer goods subsector manufacturing companies listed on the Indonesia Stock Exchange during the period 2017-2021. The type of data used in this study is secondary data from financial statements and company annual reports sourced from the official website of the Indonesia Stock Exchange (IDX). Determination of the sample using purposive sampling method and obtained a sample of 120 based on certain criteria. The analytical method used is multiple linear regression using the Stata 17 program. The results of this study indicate that liquidity and firm size have no significant effect with a negative direction on tax aggressiveness. While, leverage leads to a positive direction and has no significant effect on tax aggressiveness.
Decision Support System For Admission Of New Employees With Weighting Method (Weight Product Model) Wijana, Miki; Wibowo, Asep; Larasati, Larasati
International Journal of Ethno-Sciences and Education Research Vol. 3 No. 4 (2023): International Journal of Ethno-Sciences and Education Research (IJEER)
Publisher : Research Collaboration Community (Rescollacom)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46336/ijeer.v3i4.517

Abstract

Firli Group is an e-commerce and digital marketing company. At every new employee recruitment, Firli Group is still manual or semi-computerized, making it difficult to determine prospective new employees. Therefore we need a system that can be petrified to facilitate decision making, namely by using the Weight Product Model (WPM). WPM is a model of Decision Support System (DSS), namely by ranking, this analysis is carried out with a sample of 5 people. Decision support system on the acceptance of new employees, is expected to help the company.
Analisis Minat Masyarakat terhadap Produk Perbankan Syariah di Desa Lembasari Kecamatan Jatinegara Kabupaten Tegal Larasati, Larasati; Sukardinah, Eni Diyan; Aris, Muhammad Rizqie
RIGGS: Journal of Artificial Intelligence and Digital Business Vol. 4 No. 4 (2026): November - January
Publisher : Prodi Bisnis Digital Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/riggs.v4i4.3245

Abstract

Penelitian ini bertujuan untuk menganalisis dan menguji secara empiris pengaruh variabel independen Pengetahuan Masyarakat, Lokasi/Aksesibilitas, dan Variasi Produk terhadap Minat Masyarakat Desa Lembasari, Kecamatan Jatinegara, Kabupaten Tegal dalam menggunakan Produk Perbankan Syariah. Isu utama yang diangkat adalah rendahnya minat di wilayah pedesaan yang diduga kuat berkaitan dengan faktor-faktor tersebut. Metode penelitian menggunakan pendekatan kuantitatif dengan desain asosiatif kausal. Populasi penelitian adalah seluruh masyarakat Desa Lembasari, sementara sampel ditentukan melalui teknik purposive sampling. Data primer dikumpulkan menggunakan kuesioner yang disebarkan kepada responden terpilih. Untuk menganalisis data dan menguji hipotesis, penelitian ini menggunakan serangkaian tahapan analisis statistik yang meliputi Uji Asumsi Klasik (Normalitas, Multikolinearitas, dan Heteroskedastisitas) dan Analisis Regresi Linear Berganda. Hasil penelitian diasumsikan menunjukkan temuan yang signifikan, yaitu bahwa ketiga variabel independen—Pengetahuan, Lokasi/Aksesibilitas, dan Variasi Produk—baik secara parsial maupun simultan, memiliki pengaruh yang positif dan signifikan terhadap Minat Masyarakat. Secara spesifik, penelitian mengasumsikan bahwa faktor Lokasi/Aksesibilitas menjadi penghambat dominan. Keterbatasan dan jarak kantor cabang bank syariah di wilayah pedesaan teridentifikasi sebagai kendala utama yang signifikan dalam menumbuhkan minat penggunaan produk. Implikasi penelitian ini memberikan rekomendasi strategis bagi lembaga perbankan syariah. Untuk memperkuat minat dan mendorong inklusi keuangan syariah di daerah pedesaan, bank syariah perlu melakukan dua hal: memperluas jangkauan layanan digital (digital outreach) dan secara aktif meningkatkan edukasi finansial syariah yang berkelanjutan di tingkat komunitas.
Pergeseran Kebijakan Strategis AS-Tiongkok: Transisi kekuasaan Era Biden ke Trump 2.0 Larasati, Larasati
Jurnal Hubungan Internasional Indonesia Vol. 6 No. 2 (2025): JHII Juni 2025
Publisher : Lampung Center for Global Studies (LCGS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/jhii.v6i2.64

Abstract

Abstract This study aims to analyze the transition of the United States government from the Biden administration to Trump 2.0, with a focus on the dynamics of US-China relations and the sustainability of the America First policy. Using the Foreign Policy Change theory, this study examines the paradigm shift in US foreign policy from the Democratic Party leadership in the Biden-Harris era to the Republican Party approach under Trump, particularly in the areas of economic, trade, and security policies. Drawing on Charles Hermann's foreign policy change model and Graham Allison's bureaucratic politics approach, this study examines how the administration transition influences the direction of strategic relations between the two world powers. The research findings show that Trump's return has the potential to strengthen the direction of unilateralism and strategic rivalry towards China, but at the same time opens up the possibility of forming a new order in international relations. This study provides theoretical contributions to the study of foreign policy change as well as practical implications for policymakers and diplomatic actors in responding to the direction of US foreign policy during the Trump 2.0 administration. Keywords: US Foreign Policy, US–China Relations, America First, Trump 2.0, Strategic Rivalry
SENTIMENT ANALYSIS UNTUK REVIEW DESTINASI WISATA UNGGULAN GUNUNG KIDUL MENGGUNAKAN METODE LEXICON DAN PIVOT Larasati, Larasati; Nabilla, Shalsa; Haryanto, Eri
Indonesian Journal of Business Intelligence (IJUBI) Vol 5 No 2 (2022): Indonesian Journal of Business Intelligence (IJUBI)
Publisher : Universitas Alma Ata

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21927/ijubi.v5i2.2604

Abstract

Sentiment analysis is the process of using text analytics to get various data sources from the internet and various social media platforms. Comment data is obtained through Twitter social media. This classification is used to determine how comments interpret tourist attractions in Gunungkidul. Lexicon-based and Pivoting are used to group people's opinions into three classes: positive, negative, and neutral sentiments. This method is used to classify the results of community comment data written as community satisfaction with tourism in Gunungkidul. This study aims to discover people's opinions about tourism in Gunungkidul during the Covid-19 pandemic. The results of this study are used to determine the classification of community comment data so that services can be easily developed through comments provided by the community. The sentiment analysis results contained the categories of positive emotions 51%, negative 1%, and neutral 48%.
Penyuluhan Manajemen Waktu Bagi Generasi Z Untuk Meningkatkan Produktivitas Di Era Digital Amelia, Ita; Larasati, Larasati; Ananda, Prima
Jurnal Peradaban Masyarakat Vol. 6 No. 1 (2026): Jurnal peradaban masyarakat (JPM)
Publisher : LPPM STIE Hidayatullah Depok

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55182/jpm.v6i1.739

Abstract

Penyuluhan ini ingin tingkatkan kesadaran dan kemampuan manajemen waktu di Generasi Z untuk mendukung produktivitas di zaman digital. Generasi Z, yang dibesarkan dengan teknologi, sering menemukan masalah dalam manajemen waktu karena gangguan dari gadgets dan media sosial. Kegiatan ini dilakukan dengan cara penyuluhan yang interaktif, termasuk edukasi tentang pentingnya manajemen waktu, teknik untuk prioritas tugas, serta pemakaian aplikasi digital untuk efisiensi. Kegiatan ini mengandung diskusi, simulasi, dan evaluasi untuk bikin peserta lebih bijaksana dalam mengatur waktu. Hasil menunjukkan peserta mulai mengerti pentingnya manajemen waktu dan mencoba teknik yang diajarkan dalam keseharian. Penyuluhan ini diharapkan memberi dampak baik pada produktivitas Generasi Z dan jadi langkah awal untuk membangun kebiasaan lebih terorganisir di era digital.
Pemanfaatan AI dan Gamifikasi untuk Meningkatkan Kinerja Guru SDN 1 Sumber Agung: Pengabdian Muhammad Nurwahidin; Riswandi, Riswandi; Siti Mardasela; Agus Salim; Verawati, Verawati; Larasati, Larasati
Jurnal Pengabdian Masyarakat dan Riset Pendidikan Vol. 4 No. 3 (2026): Jurnal Pengabdian Masyarakat dan Riset Pendidikan Volume 4 Nomor 3 (Januari 202
Publisher : Lembaga Penelitian dan Pengabdian Masyarakat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/jerkin.v4i3.4748

Abstract

This article presents the results of a community service program focused on training teachers of SDN 1 Sumber Agung in the use of Artificial Intelligence (AI) and gamification to enhance teaching performance. The training included developing digital learning media using Canva, Wordwall, and Zep Quiz as practical examples of simple and applicable gamification strategies. The method was implemented through workshops, hands-on practice, and evaluation using teacher feedback questionnaires. The results indicate that teachers rated the training highly in terms of relevance, ease of use, and usefulness in improving creativity and classroom instructional effectiveness. The findings align with the TAM and UTAUT frameworks as well as gamification theories, which emphasize the role of perceived ease of use and perceived usefulness in technology adoption. Overall, the program significantly improved teachers’ digital competencies and fostered an innovative, technology-driven learning culture within the school.
Design and Simulation of High-Yield Dimethyl Ether Synthesis Using Series Reactors and Intercooler Nurfiana, Saffanah Azka; Shofa, Fairuz Zahirah; Larasati, Larasati; Dayita, Yuri; Cahyaningsih, Salsabila
Journal of Chemical Engineering Research Progress 2025: JCERP, Volume 2 Issue 2 Year 2025 (December)
Publisher : UPT Laboratorium Terpadu, Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.9767/jcerp.20568

Abstract

Dimethyl ether (DME, CH₃OCH₃), the simplest alkyl ether and a structural isomer of ethanol, has attracted considerable attention as a clean fuel and chemical intermediate. To enhance its production efficiency, process modifications were introduced and rigorously evaluated through simulation modeling. The methodology involved systematic optimization of operating parameters to achieve targeted performance criteria. A key innovation was the adoption of a series-reactor configuration integrated with an intercooler between reactors, designed to improve conversion and yield. The modified process demonstrated a substantial improvement in DME production, with yield increasing from 40.87% to 62.29%. These results confirm that the proposed process modification significantly augments both yield and conversion, thereby offering a more efficient and sustainable route for DME synthesis. Copyright © 2025 by Authors, Published by Universitas Diponegoro and BCREC Publishing Group. This is an open access article under the CC BY-SA License (https://creativecommons.org/licenses/by-sa/4.0).
The Impact of Translation Strategies in the Children's Story “Can You Count the Stars?” A Comparative Analysis of the Quality of Two Translation Versions: Dampak Strategi Penerjemahan dalam Cerita Anak “Can You Count the Stars?” pada Kualitas Dua Versi Terjemahan: Sebuah Studi Komparatif Larasati, Larasati; Dewi, Haru Deliana
Jurnal Penerjemahan Vol 12 No 2 (2025): Jurnal Penerjemahan
Publisher : Kementerian Sekretariat Negara Republik Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.64571/ojp.v12i2.161

Abstract

This study examines the impact of translation strategies, including procedures, methods, and ideologies, on the quality of the rhymed children’s story “Can You Count the Stars”? (2019) translated from English into Indonesian. It aims to determine how the implementation of these strategies affects the translation quality. To address the challenges inherent in translating rhyme, such as preserving rhyme patterns, meaning, and ensuring cultural relevance. Both translators applied procedures such as modulation of perspective and meaning scope, addition, omission, and the translation of figurative language. In addition, the communicative method and a domestication ideology were applied to facilitate comprehension among child readers. The analysis shows that the translation by Respondent 1 (TSa1) demonstrates higher quality than that of Respondent 2 (TSa2), particularly in preserving rhyme patterns and delivering the message, whereas TSa2 loses some poetic nuances. Among the procedures, addition was found to be the most effective in enhancing translation quality by enriching the text without distorting the message. This study concludes that the careful selection and application of translation strategies play a critical role in balancing rhyme, meaning, and cultural context in rhymed children’s literature and support previous research on the significance of strategy selection in achieving quality translations.
Co-Authors Afina Nurfauzia Agus Salim Agus Wismanto Alif Pranata ALKHUSARI Amalia, Ridha Amaniarsih, Dwi Suci Amelia, Ita Aminuyati Amrina Rosada Ana Hardiana Ananda, Prima Anesa Surya Annisa Annisa Anziila, Astrid Shalli Ari Fajar Santoso Arif Pristianto Aris, Muhammad Rizqie Arisul Ulumuddin Arumjati, Vernilina Oktaeighta Arumjati, Vernillina Oktaeighta asrul, nurmahyuni Aulia, Rara Ayu, Andini Sukma Batubara, Didiek Hardadi Cahyadi, Muhammad Mukhlis Cahyani, Indah Sinawang Cahyaningsih, Salsabila Christine Indrianny Tanod Dayita, Yuri Dewi Sartika Munthe Dewi, Haru Deliana Dhata Praditya Djunaedi, Mira Kartika Dewi Dwi Santoso, Andreas Eka Rahma Ningsih Elena Prida Fahlevi, Zhillan Zhalila Farid Rahman Fauzia, Nabila Atika Firdha Senja Maelaningsih Fitriani Freddy Johanis Rumambi Girly Risma Firsty Hanum, Atiqa Nur Latifa Haryanto, Eri Hernawan, Alisha Deanna Hernina, Hernina Hesti Mayasari Ila Rosmilawati Indriani, Virania Intan Intan Isti Andini Jamalini Putri Tampubolon Jasmine, Safira Amalia Jaya, Indra Frana Jenny Indrastoeti Siti Poerwanti Joko Joko Kholidah Nur KUNTARI, SEPTI Kurniawan Kurniawan Kusuma, Dimas Wiradarma Laksono Trisnantoro Latif Anshori Kurniawan Laura Shafarina Madeten, Sisilya Saman Mahatma, Mahatma Maria Arina Luardini Marisi Pakpahan Maswanku, Luwemba Musa Meilani, Chelsy Mirza Fadil Monica, Vina Muchammad Hamdani Muhamad Farhan Muhammad Reza Aulia Muhlis Muhlis Mutaqin, Jenal Nabilla, Shalsa Najwa Lubis Nanik Setyawati Ngatmini Ngatmini Nihayati, Arina Nurfiana, Saffanah Azka Nurwahidin, Muhammad Oktariana Pramiastuti Prasti Eko Yunanto Purwadhi Purwadhi Puspitasari, Devi Ambarwati Qohardita, Risa Riadoh Riadoh Rima Harsa Alquraisi Riswandi Riswandi Roni Kurniawan Rosmiati, Neni Rosyidah Rosyidah, Rosyidah Rotua Lenawati Tindaon Rudi Ruswandi Sachlan, Muhammad Gizwa Afdhallah Selvi Ramadani Sepiyan, Deni Septiyani, Retnosyari Setiawan, Rizki Shofa, Fairuz Zahirah Siswanto PHM Siti Helmyati Siti Mardasela Siti Saadah Soffi Widyanesti Priwantoro, Soffi Widyanesti Subhan Widiansyah Sukardinah, Eni Diyan Sulaeman, Putri Amanah Suyoto Suyoto Tryana, Anjas Utami, HR. Utami, Nurul Putrie Verawati Verawati Wahyu S.J. Saputra Wibowo, Asep Wijana, Miki Wisnu Ananta Kusuma Yani Restiani Widjaja, Yani Restiani Yenda Sarfida Yuliana, Wahyu Prapti Yunika, Fisi Dwi Zainal Arifin Zeze Zakaria Hamzah