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All Journal Jurnal Penelitian dan Pengembangan Pendidikan Jurnal Pendidikan dan Pembelajaran Khatulistiwa (JPPK) Jurnal Teknologi Informasi dan Ilmu Komputer 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 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) Bhamada: Jurnal Ilmu dan Teknologi Kesehatan (E-Journal) Jurnal Bahasa Indonesia bagi Penutur Asing (JBIPA) Journal of Food and Culinary JURNAL ILMIAH ADVOKASI 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 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 VISA: Journal of Vision and Ideas Jurnal Accounting Information System (AIMS) Jurnal Riset Teknik Komputer Seroja Husada: Jurnal Kesehatan Masyarakat PENG: Jurnal Ekonomi dan Manajemen KALBISIANA Jurnal Sains, Bisnis dan Teknologi Epaper Bisnis: International Journal Entrepreneurship and Management Bhamada: Jurnal Ilmu dan Teknologi Kesehatan (E-Journal) Jurnal Agrisep PAEDAGOGIE Jurnal Penerjemahan Jurnal Hubungan Internasional Indonesia (JHII)
Larasati Larasati
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Evaluasi Strategi Manajemen Sumber Daya Manusia dalam Meningkatkan Produktivitas Kerja Karyawan di Rumah Sakit X Kota Y Larasati, Larasati; Qohardita, Risa; Arumjati, Vernilina Oktaeighta; Purwadhi, Purwadhi; Widjaja, Yani Restiani
VISA: Journal of Vision and Ideas Vol. 5 No. 2 (2025): Journal of Vision and Ideas (VISA)
Publisher : IAI Nasional Laa Roiba Bogor

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47467/visa.v5i2.7303

Abstract

Human resources must always be considered, maintained and developed to achieve organizational goals. Human resource management (HRM) plays an important role in helping organizations achieve short-term and long-term goals by aligning those goals with overall business strategy. The purpose of this article is to explain the importance of human resource planning, effective recruitment and selection, and employee development to increase employee work productivity. This article focuses on the role of Human Resource Management in business organizations and how Human Resource Management strategies can help organizations increase employee work productivity. The research method used is the literature study method, namely analyzing, summarizing and evaluating various sources such as scientific writings, books, presentations, online data, images and graphs related to the topic discussed, as well as describing the author's view of it. The main source for this research is literature that is closely related to the literature review, including books on research methods, scientific papers, online sources, and other relevant publications. To achieve the goals of a company, it is necessary to implement effective HR management strategies to increase employee work productivity. The factor that a company must prioritize is the employee performance factor.
PENGARUH CURRENT RATIO (CR) DAN NET PROFIT MARGIN (NPM) TERHADAP RETURN ON ASSETS (ROA) PADA PT ANEKA TAMBANG, TBK TAHUN 2017-2022 Zeze Zakaria Hamzah; Muchammad Hamdani; Muhlis Muhlis; Larasati Larasati
Economicus : Jurnal Ekonomi dan Manajemen Vol. 15 No. 1 (2024): Desember: Economicus : Jurnal Ekonomi dan Manajemen
Publisher : Institut Teknologi dan Bisnis Dewantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47860/economicus.v15i1.36

Abstract

This study is intended to determine the Effect of Current Ratio (CR) and Net Profit Margin (NPM) on Return on Assets (ROA) at PT Aneka Tambang, Tbk on financial statements in 2017-2022 and become one of the references regarding research on the analysis of financial statements in company. This research uses quantitative methods with classical assumption test techniques, multiple linear regression test, hypothesis test and determination coefficient test in IBM SPSS 22 statistical applications. The results in the classical assumption test, this study was found to have normal distribution values, did not experience heterochedascity, was not exposed to multico problems, and there was no autocorrelation. The linear regression test shows that the Current Ratio has an inversely proportional influence on the Return on Assets because it shows a positif value 0.010 while the Net Profit Margin has a direct influence on the Return on Assets because it shows a positive coefficient value 0,469. The results of the test concluded that the Current Ratio partially did not have a positive and significant effect on the Return on Assets, and the Net Profit Margin partially had a positive and significant effect on the Return on Assets. Meanwhile, simultaneously, Current Ratio and Net Profit Margin have a positive and significant effect on Return on Assets with a value of 73,1%.
Model Prediksi Interaksi Senyawa dan Protein untuk Drug Repositioning menggunakan Deep Semi-Supervised Learning Larasati, Larasati; Kusuma, Wisnu Ananta; Annisa, Annisa
Jurnal Teknologi Informasi dan Ilmu Komputer Vol 7 No 4: Agustus 2020
Publisher : Fakultas Ilmu Komputer, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25126/jtiik.2020742236

Abstract

Drug repositioning adalah penggunaan senyawa obat yang sudah lolos uji sebelumnya untuk mengatasi penyakit baru selain penyakit awal obat tersebut ditujukan. Drug repositioning dapat dilakukan dengan memprediksi interaksi senyawa obat dengan protein penyakit yang bereaksi positif. Salah satu tantangan dalam prediksi interaksi senyawa dan protein adalah masalah ketidakseimbangan data. Deep semi-supervised learning dapat menjadi alternatif untuk menangani model prediksi dengan data yang tidak seimbang. Proses pre-training berbasis unsupervised learning pada deep semi-supervised learning dapat merepresentasikan input dari unlabeled data (data mayoritas) dengan baik dan mengoptimasi inisialisasi bobot pada classifier. Penelitian ini mengimplementasikan Deep Belief Network (DBN) sebagai pre-training dan Deep Neural Network (DNN) sebagai classifier. Data yang digunakan pada penelitian ini adalah dataset ion channel, GPCR, dan nuclear receptor yang bersumber dari pangkalan data KEGG BRITE, BRENDA, SuperTarget, dan DrugBank. Hasil penelitian ini menunjukkan pada dataset tersebut, pre-training berupa ekstraksi fitur memberikan efek optimasi dilihat dari peningkatan performa model DNN pada akurasi (3-4.5%), AUC (4.5%), precision (5.9-6%), dan F-measure (3.8%). AbstractDrug repositioning is the reuse of an existing drug to treat a new disease other than its original medical indication. Drug repositioning can be done by predicting the interaction of drug compounds with disease proteins that react positively. One of the challenges in predicting the interaction of compounds and proteins is imbalanced data. Deep semi-supervised learning can be an alternative to handle prediction models with imbalanced data. The unsupervised learning based pre-training process in deep semi-supervised learning can represent input from unlabeled data (majority data) properly and optimize initialization of weights on the classifier. This study implements the Deep Belief Network (DBN) as a pre-training with Deep Neural Network (DNN) as a classifier. The data used in this study are ion channel, GPCR, and nuclear receptor dataset sourced from KEGG BRITE, BRENDA, SuperTarget, and DrugBank databases. The results of this study indicate that pre-training as feature extraction had an optimization effect. This can be seen from DNN performance improvement in accuracy (3-4.5%), AUC (4.5%), precision (5.9-6%), and F-measure (3.8%).
Common errors analysis in solving problems of fractional number reviewed from Newman's theory Priwantoro, Soffi Widyanesti; Monica, Vina; Fauzia, Nabila Atika; Larasati, Larasati
International Journal on Education Insight Vol. 4 No. 2 (2023)
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/ijei.v4i2.10291

Abstract

This research aims to describe common mistakes made by students in calculating fractional numbers, especially in comparing fractional numbers. For this reason, an analysis of the mistakes made by students is required. The subjects in this research were three students of SMP Muhammadiyah 1 Godean who were taken after fulfilling the requirements for selecting research subjects. Test and observation methods are the methods for collecting data. The data analysis technique used in this research is Newman's theory, of which there are 5 stages, namely: (1) reading stage, (2) understanding stage, (3) transformation stage, (4) process skills stage, and (5) Answer Writing Stage. This research shows that the errors made by students in general are: (1) Errors in reading and understanding questions, (2) Errors in reading mathematical comparison symbols, (3) Errors in changing the form of images presented to fractional numbers, and (4) Errors in calculating the LCM value between two denominators.
Pengaruh Model Pembelajaran Index Card Match dalam Meningkatkan Hasil Belajar Siswa pada Mata Pelajaran Sosiologi di SMAN 8 Pandeglang Larasati, Larasati; Kuntari, Septi; Widiansyah, Subhan
Jurnal Pendidikan Tambusai Vol. 8 No. 2 (2024)
Publisher : LPPM Universitas Pahlawan Tuanku Tambusai, Riau, Indonesia

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

Abstract

Penelitian ini bertujuan untuk mengetahui pengaruh dari model pembelajaran index card match terhadap peningkatan hasil belajar siswa. Metode yang digunakan adalah quasi eksperimen dengan desain nonequivalent control group. Pengambilan sampel dilakukan menggunakan teknik purposive sampling yang terdiri dari dua kelas, yaitu kelas eksperimen dan kelas kontrol. Instrumen yang digunakan adalah pretest-posttest. Analisis data dilakukan dengan menggunakan uji normalitas, uji homogenitas, dan uji hipotesis menggunakan uji t. Berdasarkan hasil analisis uji hipotesis menggunakan uji t, ditemukan bahwa nilai signifikansi (2-tailed) adalah 0,000 < 0,05, sehingga H0 ditolak dan Ha diterima. Hasil analisis data menunjukkan bahwa terdapat perbedaan yang signifikan antara hasil belajar siswa yang menggunakan model pembelajaran konvensional dan model pembelajaran index card match. Oleh karena itu, dapat disimpulkan bahwa model pembelajaran index card match memiliki pengaruh dalam meningkatkan hasil belajar siswa.
Karakteristik Kompetensi Guru Dari Perspektif Siswa Larasati, Larasati; Mahatma, Mahatma
Jurnal Ilmiah Mandala Education (JIME) Vol 7, No 3 (2021): Jurnal Ilmiah Mandala Education
Publisher : Lembaga Penelitian dan Pendidikan Mandala

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58258/jime.v7i3.2202

Abstract

The purpose of this research is to identify the characteristics of teacher competence that are preferred by the students or according to the students' point of view. This research was conducted from June to July 2021. The method used in this research is quantitative method with survey technique. The survey was conducted through a google form in the form of a questionnaire. There are 110 respondents who filled out the questionnaire in the study. In the research instrument grid, there are four research variables. The results of this study indicate that students prefer teachers who have professional competence, then the second is personality competence, the third is social competence, and the last is pedagogic competence. According to the student's perspective on pedagogic competence, the teacher is still lacking or good enough. So, for pedagogic competence, teachers must pay attention to or be more creative and innovative in the delivery of learning materials so that they can make the class more fun. This is due to several factors which will be discussed in the discussion.The purpose of this research is to identify the characteristics of teacher competence that are preferred by the students or according to the students' point of view. This research was conducted from June to July 2021. The method used in this research is quantitative method with survey technique. The survey was conducted through a google form in the form of a questionnaire. There are 110 respondents who filled out the questionnaire in the study. In the research instrument grid, there are four research variables. The results of this study indicate that students prefer teachers who have professional competence, then the second is personality competence, the third is social competence, and the last is pedagogic competence. According to the student's perspective on pedagogic competence, the teacher is still lacking or good enough. So, for pedagogic competence, teachers must pay attention to or be more creative and innovative in the delivery of learning materials so that they can make the class more fun. This is due to several factors which will be discussed in the discussion. 
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.
Co-Authors Afina Nurfauzia Agus Wismanto Alif Pranata ALKHUSARI Amalia, Ridha Amaniarsih, Dwi Suci Aminuyati Amrina Rosada Ana Hardiana Anesa Surya Annisa Annisa Anziila, Astrid Shalli Ari Fajar Santoso Arif Pristianto Arifah, Dinil 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 Christine Indrianny Tanod Dewi Sartika Munthe Dewi, Haru Deliana Dhata Praditya Eka Nanda Ravizki Eka Rahma Ningsih Elena Prida Farid Rahman Fauzia, Nabila Atika Firdha Senja Maelaningsih Fitriani Freddy Johanis Rumambi Futri, Mayana Girly Risma Firsty Hanum, Atiqa Nur Latifa Hernawan, Alisha Deanna Hernina, Hernina Hesti Mayasari Hidayah, Riski Hidayatullah, M. Rizky Ila Rosmilawati Intan Intan Isti Andini Jamalini Putri Tampubolon Jasmine, Safira Amalia Jaya, Indra Frana Jayanti, Wanti Eka J Jenny Indrastoeti Siti Poerwanti Kholidah Nur Krisnayanti, Indari KUNTARI, SEPTI Kurniawan Kurniawan Kusuma, Dimas Wiradarma Laksono Trisnantoro Latif Anshori Kurniawan Laura Shafarina Madeten, Sisilya Saman Mahatma, Mahatma Maria Arina Luardini Marisi Pakpahan Meilani, Chelsy Mira Kartika Dewi Djunaedi Mirza Fadil Monica, Vina Muchammad Hamdani Muhamad Farhan Muhammad Reza Aulia Muhlis Muhlis Najwa Lubis Nanik Setyawati Ngatmini Ngatmini Nur Halimah Nurhasidah, Nurhasidah Oktariana Pramiastuti Prasti Eko Yunanto Purwadhi Purwadhi Puspitasari, Devi Ambarwati Qohardita, Risa Riadoh Riadoh Rima Harsa Alquraisi Rosyidah Rosyidah, Rosyidah Rotua Lenawati Tindaon Rudi Ruswandi Sachlan, Muhammad Gizwa Afdhallah Sartika Dewi Harahap Selvi Ramadani Septiyani, Retnosyari Setiawan, Rizki Siswanto PHM Siti Helmyati Siti Saadah Soffi Widyanesti Priwantoro, Soffi Widyanesti Sofiah Sofiah Subhan Widiansyah Sukardinah, Eni Diyan Sulaeman, Putri Amanah Suraya Suraya Suyoto Suyoto Tryana, Anjas Utami, HR. Utami, Nurul Putrie 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