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All Journal International Journal of Electrical and Computer Engineering Saintika Medika: Jurnal Ilmu Kesehatan dan Kedokteran Keluarga. TEKNIK INFORMATIKA Jurnal Ilmu Manajemen dan Akuntansi Terapan (JIMAT) JSI: Jurnal Sistem Informasi (E-Journal) Jurnal Transformatika Science and Technology Indonesia Indonesian Journal of Artificial Intelligence and Data Mining Prosiding Seminar Nasional Teknoka BAREKENG: Jurnal Ilmu Matematika dan Terapan JTAM (Jurnal Teori dan Aplikasi Matematika) Amerta Nutrition Jurnal Ilmu Manajemen dan Akuntansi Terapan Jurnal Didaktika Dwija Indria PREPOTIF : Jurnal Kesehatan Masyarakat Prima Ekonomika : Jurnal Ekonomi dan Bisnis Jurnal Teknik Informatika (JUTIF) Jurnal Pengabdian Kepada Masyarakat (JPKM) Tabikpun Poltekita: Jurnal Pengabdian Masyarakat JUSTIN (Jurnal Sistem dan Teknologi Informasi) SWARNA Jurnal Pengabdian Masyarakat Tapis Berseri Jurnal Dedikasi untuk Negeri Abdi Akommedia : Jurnal Pengabdian Masyarakat Journal of Evidence - Based Nursing and Public Health Proceeding Mulawarman International Conference on Tropical Public Health Integra: Journal of Integrated Mathematics and Computer Science
Dian Kurniasari
Mathematic Dept. Lampung of University
Religion Agriculture, Biological Sciences & Forestry Humanities Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Mathematics Mechanical Engineering Medicine & Pharmacology Nursing Physics Public Health Social Sciences Transportation Other

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PENERAPAN VIRGIN COCONUT OIL UNTUK MENGURANGI PRURITUS PADA PASIEN HEMODIALISIS : Literature Review Dinita, Fera Alfina; Qotrunnada, Hasna Fadhilah; Purwanti, Okti Sri; Kurniasari, Dian
PREPOTIF : JURNAL KESEHATAN MASYARAKAT Vol. 9 No. 2 (2025): AGUSTUS 2025
Publisher : Universitas Pahlawan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/prepotif.v9i2.46971

Abstract

Pruritus merupakan salah satu komplikasi yang sering dialami oleh pasien dengan penyakit gagal ginjal kronis (PGK) yang menjalani hemodialisis. Kondisi ini berdampak signifikan terhadap kenyamanan dan kualitas hidup pasien. Penanganan pruritus umumnya dilakukan melalui terapi farmakologis dan nonfarmakologis. Namun, penggunaan obat-obatan jangka panjang dapat menimbulkan efek samping yang cukup serius. Oleh karena itu, dibutuhkan alternatif terapi yang lebih aman dan mudah diaplikasikan. Virgin coconut oil (VCO) sebagai emolien alami muncul sebagai salah satu pilihan terapi komplementer yang relatif aman dan mudah digunakan oleh pasien.Literature review ini bertujuan untuk mengetahui efektivitas VCO dalam mengurangi pruritus pada pasien hemodialisis. Proses penelusuran literatur dilakukan melalui database Scopus, ResearchGate, dan Google Scholar dengan rentang pencarian lima tahun terakhir. Kata kunci yang digunakan meliputi “virgin coconut oil”, “pruritus”, dan “hemodialysis”. Dari hasil pencarian, terdapat sepuluh jurnal yang memenuhi kriteria inklusi dan dianalisis lebih lanjut.Hasil analisis menunjukkan bahwa VCO efektif dalam menurunkan tingkat pruritus pada pasien hemodialisis. Selain itu, VCO juga diketahui dapat memperbaiki kelembapan kulit dan mengurangi inflamasi lokal, yang umumnya menjadi faktor penyerta munculnya rasa gatal pada pasien. Beberapa penelitian juga menunjukkan bahwa efektivitas VCO dalam menurunkan skor pruritus lebih unggul dibandingkan dengan minyak zaitun, yang juga dikenal sebagai emolien alami.Berdasarkan hasil tinjauan literatur ini, dapat disimpulkan bahwa VCO merupakan pilihan terapi komplementer yang efektif dan aman untuk mengurangi pruritus pada pasien PGK yang menjalani hemodialisis. Selain memberikan manfaat fisik, penggunaan VCO juga berpotensi meningkatkan kenyamanan dan kualitas hidup pasien secara keseluruhan.
Workshop Pelatihan Pemahaman Konsep Aritmatika Sosial untuk Siswa SMKS Nurul Huda Pringsewu Kurniasari, Dian; Asmiati; Widiarti; Sawitri, Riza
ABDI AKOMMEDIA : JURNAL PENGABDIAN MASYARAKAT Vol. 3 No. 3 (2025)
Publisher : ABDI AKOMMEDIA : JURNAL PENGABDIAN MASYARAKAT

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

Abstract

Aritmatika sosial salah satu aspek penting dalam numerasi dasar dan memiliki manfaat praktis yang relevan dengan dunia kerja dan kehidupan sehari-hari. Rendahnya pemahaman siswa SMKS Nurul Huda terhadap konsep matematika yang kontekstual, khususnya pada materi aritmatika sosial, sehingga diperlukan pelatihan pemahaman konsep aritmatika sosial. Kegiatan ini bertujuan untuk memberikan pemahaman konsep aritmatika sosial secara aplikatif serta memotivasi siswa untuk belajar secara mandiri dan berkelanjutan. Workshop ini dilakukan dalam bentuk ceramah interaktif, diskusi, dan simulasi perhitungan kontekstual agar siswa lebih mudah memahami konsep matematika yang diajarkan. Keberhasilan kegiatan workshop dievaluasi melalui pre-test dan post-test. Berdasarkan nilai pre-test dan post-test, diperoleh rata-rata selisih perbedaan nilai post-test dan pre-test sebesar 33,08. Pengujian selisih beda dua rata-rata dengan menggunakan uji t memberikan hasil bahwa secara statistik nilai post-test lebih besar dibandingkan dengan nilai pre-test. Hasil ini menunjukkan bahwa para peserta memahami apa yang disampaikan oleh narasumber dan membuka wawasan mereka tentang artimatika sosial dalam kehidupan sehari-hari.
A Hybrid ARIMA–GRU Model for Forecasting Palm Oil Prices at PT Sawit Sumbermas Sarana in Central Kalimantan Kurniasari, Dian; Shella, Tiara Pramay; Usman, Mustofa; Warsono
Integra: Journal of Integrated Mathematics and Computer Science Vol. 2 No. 1 (2025): March
Publisher : Magister Program of Mathematics, Universitas Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26554/integrajimcs.20252112

Abstract

The palm oil industry plays a strategic role in Indonesia's economic landscape. As one of the world’s largest producers, Indonesia holds substantial potential in marketing both crude palm oil (CPO) and palm kernel oil on domestic and international fronts. Palm oil prices consistently correlate with CPO prices, given that the pricing of palm oil is benchmarked against CPO, resulting in market fluctuations. Forecasting future palm oil prices becomes an essential measure in response to this volatility. The ARIMA (AutoRegressive Integrated Moving Average) model has been widely recognized as a reliable method for time series forecasting. Despite its strengths, ARIMA faces challenges in identifying the non-linear components that are often present in real-world data. The Gated Recurrent Unit (GRU) model, which incorporates an update gate and a reset gate, offers an alternative that effectively captures complex non-linear patterns. A hybrid model integrating ARIMA and GRU has therefore been developed with the aim of improving predictive accuracy. This hybrid approach includes two stages: the ARIMA model for initial predictions and a GRU model that processes the residuals from the ARIMA output. In this study, the ARIMA-GRU hybrid model demonstrated strong performance, yielding a Mean Squared Error (MSE) of 868.4690, a Root Mean Squared Error (RMSE) of 29.4698, a Mean Absolute Percentage Error (MAPE) of 0.0117, and an overall accuracy of 99.9824%.
Integrating VAR and CNN Models for Accurate Forecasting of Money Supply in Indonesia Warsono; Sulandra, Ardelia Maharani; Kurniasari, Dian; Usman, Mustofa; Susetyo, Budi
Integra: Journal of Integrated Mathematics and Computer Science Vol. 2 No. 2 (2025): July
Publisher : Magister Program of Mathematics, Universitas Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26554/integrajimcs.20252230

Abstract

Economic forecasting serves as a fundamental element in supporting decision-making processes across multiple sectors. One of the main areas of interest in this field is the estimation of the money supply within an economy. The Vector Autoregressive (VAR) model is a commonly applied method for forecasting; however, it often encounters limitations when processing data with nonlinear patterns. Convolutional Neural Networks (CNNs) offer an alternative approach, particularly effective in identifying nonlinear structures that are not adequately captured by VAR models. A hybrid VAR-CNN model is therefore proposed, combining the respective strengths of both techniques to improve the accuracy of predictions. This research applies to the hybrid VAR-CNN model to forecast economic variables for the period from July 2022 to June 2023. The model consists of two main components: the first utilizes forecasted values generated by the VAR model, while the second processes the residuals from the VAR output using a CNN. With 80% of the data allocated for training and 20% for testing, the hybrid VAR-CNN model demonstrates improved performance over alternative forecasting methods. Evaluation based on Mean Absolute Percentage Error (MAPE), supremum (D) values, and p-values confirms the effectiveness of this hybrid approach.
PERAN OPPORTUNITY ENTREPRENEUR DALAM PERTUMBUHAN EKONOMI Kurniasari, Dian
Jurnal Ilmu Manajemen dan Akuntansi Terapan (JIMAT) Vol. 4 No. 1 (2013): Jurnal Ilmu Manajemen dan Akuntansi Terapan (JIMAT)
Publisher : Sekolah Tinggi Ilmu Ekonomi Totalwin

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (375.236 KB) | DOI: 10.36694/jimat.v4i1.50

Abstract

Not all entrepreneurs demonstrate the same kind of behaviors. An‘opportunity’ entrepreneur starts a new business by exploiting anidentifiable business opportunity and is expected to help develop theeconomy. On the other hand, a ‘necessity’ entrepreneur does so in order tosurvive over poverty and/or unemployment, and thus can hardlycontribute much to the economic development. This paper to describesthis types of entrepreneur.
PENGARUH DESENTRALISASI PENGAMBILAN KEPUTUSAN TERHADAP KINERJA SATUAN KERJA PERANGKAT DAERAH : SISTEM KONTROL AKUNTANSI SEBAGAI VARIABEL INTERVENING Kurniasari, Dian
Jurnal Ilmu Manajemen dan Akuntansi Terapan (JIMAT) Vol. 4 No. 2 (2013): Jurnal Ilmu Manajemen dan Akuntansi Terapan (JIMAT)
Publisher : Sekolah Tinggi Ilmu Ekonomi Totalwin

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (780.263 KB) | DOI: 10.36694/jimat.v4i2.61

Abstract

This study aims to (1) test empirically the influence of the level ofdecentralization of decision making have a direct influence on the performance ofmanagerial offices in South Bangka regency government organizations, (2) testempirically whether the level of decentralization of decision-making systems havedirect impact on the organization's accounting controls SKPD government in SouthBangka Regency, (3) test empirically whether the accounting control systems havedirect impact on managerial performance SKPD governmental organizations inSouth Bangka regency, and (4) test empirically whether the accounting controlsystems mediate the relationship (indirect effect) between decentralization of decision-making SKPD influence on the performance of government organizations in SouthBangka Regency.Respondents in this study is the Head of Office / Head Office / Head andHead of Section / Division Head of the Unit (SKPD) District of South farts. Of the159 questionnaires distributed, 155 respondents obtained that can be incorporatedinto the data processing. Respondents' answers were analyzed using path analysis.The results showed that the degree of decentralization of decision making isincreasing at SKPD will not increase the use of accounting control system by SKPD;the greater use of accounting control systems in SKPD, the higher the performanceSKPD concerned, and the decentralization of decision-making related to the increasein SKPD improved performance by SKPD concerned.
Evaluating User Satisfaction in The Halodoc Application Using a Hybrid CNN-BiLTSM Model for Sentiment Analysis Kurniasari, Dian; Su'admaji, Arif; Lumbanraja, Favorisen Rosyking; Warsono
JURNAL TEKNIK INFORMATIKA Vol. 18 No. 2: JURNAL TEKNIK INFORMATIKA
Publisher : Department of Informatics, Universitas Islam Negeri Syarif Hidayatullah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15408/jti.v18i2.42762

Abstract

The growing demand for digital healthcare services in Indonesia has driven the adoption of Online Healthcare Applications (OHApps) such as Halodoc. Despite over 65 million users, maintaining user satisfaction remains a challenge. This study employs sentiment analysis using a hybrid Convolutional Neural Network (CNN) and Bidirectional Long Short-Term Memory (BiLSTM) model to classify user review ratings. A dataset of 10,000 Google Play Store reviews was divided into COVID-19 and post-pandemic segments. The methodology includes data collection, pre-processing, and dataset segmentation for training, validation, and testing. Results indicate that the CNN-BiLSTM model surpasses traditional machine learning by combining CNN’s feature extraction with BiLSTM’s long-term dependency capture, achieving 98.71% accuracy on COVID-19 data and 98.16% post-pandemic. Additionally, the model demonstrates strong performance across other key evaluation metrics, with precision, recall, and F1-score. Misclassification analysis highlights minor errors, particularly in ratings 4 and 5. These findings help healthcare providers enhance digital services by identifying user concerns, improving platform features, and optimizing customer engagement. Beyond healthcare, this approach has real-world applications in e-commerce and financial services, where sentiment analysis informs user experience improvements.
Pelatihan LaTeX Menggunakan Overleaf untuk Meningkatkan Kemampuan Penulisan Karya Ilmiah bagi Dosen di Pringsewu Fitriani, Fitriani; Faisol, Ahmad; Nuryaman, Aang; Kurniasari, Dian; Utami, Bernadhita Herindri Samodera
Jurnal Pengabdian Kepada Masyarakat (JPKM) TABIKPUN Vol. 5 No. 3 (2024)
Publisher : Faculty of Mathematics and Natural Sciences - Universitas Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/jpkmt.v5i3.184

Abstract

Keunggulan LaTeX telah menjadikannya sebagai standar dalam penulisan karya ilmiah. Saat ini, sebagian dosen belum dapat menggunakan LaTeX sehingga diperlukan pelatihan penggunaan Latex bagi Dosen di Pringsewu Lampung. Kegiatan ini bertujuan untuk meningkatkan kemampuan penulisan karya ilmiah bagi para Dosen. Kegiatan ini dilaksanakan di Institut Bakti Nusantara (IBN) Pringsewu dengan metode ceramah interaktif dan praktik langsung menggunakan Overleaf. Keuntungan menggunakan overleaf adalah peserta tidak perlu mengunduh aplikasi untuk menjalankan LaTeX. Pada sesi terakhir, beberapa peserta mempresentasikan hasil kerjanya. Selanjutnya, peserta diberikan kuesioner mengenai tingkat pemahaman peserta terhadap materi yang diberikan. Kegiatan ini diikuti oleh 34 dosen di Pringsewu. Berdasarkan hasil kuisioner, sebanyak 76,47% peserta memahami materi dengan sangat baik, 20,59% memahami dengan baik dan 2,94% cukup memahami materi yang diberikan. Selain itu, sebanyak 97,06% peserta tertarik menulis artikel menggunakan LaTeX.
Edukasi Gizi Seimbang dan Lomba Menu Sebagai Upaya Pencegahan Triple Burden Of Malnutrion Wijianto, Wijianto; Candriasih, Putu; Hafid, Fahmi; Kurniasari, Dian; Asomah, Nur Eli; Galonso, Nitro; Kalaha, Evelin; Tiwow, Marlin
Poltekita: Jurnal Pengabdian Masyarakat Vol. 4 No. 3 (2023): Juli-September
Publisher : Pusat Penelitian & Pengabdian Masyarakat Poltekkes Kemenkes Palu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33860/pjpm.v4i3.3291

Abstract

Adolescence is an important period in forming behavior related to health and nutrition. Decreased physical activity, eating disorders, consuming fast food from outside the home, and poor diversity of food consumption contribute to three nutritional problems (Triple Burden of Malnutrition). Poor eating habits and not having a balanced nutritional pattern will negatively impact teenagers' health and nutrition. The aim of this service is to increase teenagers' knowledge and skills about balanced nutrition through the contents of my plate and direct practice through menu competitions. The method used in this service activity goes through three stages, namely 1) Planning and preparation, 2) Education and socialization, 3) Demonstration and menu competition. This activity involved all 429 students of SLTA N 3 Luwuk. During educational and socialization activities, the material was presented about the Triple Burden of Malnutrition, balanced nutrition, and what's on my plate. The menu competition activity was attended by representatives of each class who served various dishes with a balanced and varied nutritional menu. Socialization activities and menu competitions should be carried out effectively to increase knowledge and develop character in teenagers regarding the importance of a healthy lifestyle with balanced nutrition to prevent the occurrence of the Triple Barden of Malnutrition.
A Case Study: Comparison of LSTM and GRU Methods for Forecasting Oil, Non-Oil, and Gas Export Values in Indonesia Kurniasari, Dian; Nuraini, Maydia Egi; Wamiliana, Wamiliana; Nisa, Rizki Khoirun
JURNAL TEKNIK INFORMATIKA Vol. 17 No. 2: JURNAL TEKNIK INFORMATIKA
Publisher : Department of Informatics, Universitas Islam Negeri Syarif Hidayatullah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15408/jti.v17i2.39098

Abstract

This study explores the forecasting of Indonesia’s oil, non-oil, and gas export values, highlighting its critical role in supporting national economic growth. Given the inherent volatility in export values, accurate forecasting is vital for informed economic decision-making. The research employs Long Short-Term Memory (LSTM) and Gated Recurrent Unit (GRU) models, both well-regarded for their ability to handle sequential data and complex temporal patterns. Model performance was evaluated using Root Mean Square Error (RMSE) and Mean Absolute Percentage Error (MAPE). The findings indicate that although both models produced nearly identical MAPE values of 99.99% across the oil, non-oil, and gas sectors, the GRU model outperformed the LSTM model with RMSE values of 0.0655 for oil and gas exports and 0.0697 for non-oil and gas exports. Moreover, the GRU model’s forecasts align closely with data from the Central Bureau of Statistics (BPS), which reported an 11.33% decline in Indonesia’s export values by the end of 2023. These results suggest that the GRU model not only offers greater accuracy but is also applicable to other economic forecasting contexts, such as exchange rate and inflation predictions, thereby enhancing economic policy-making.
Co-Authors Aang Nuryaman AHMAD FAISOL Amanto Amanto Andi Muh. Maulana Antonio, Yeftanus Asmiati Asomah, Nur Eli Budi Susetyo Candriasih, Putu Desi, Nur Husnina Dinita, Fera Alfina Elfaki, Faiz A.M Fahmi Hafid Favorisen R. Lumbanraja Fitri Ani, Fitri Fitriani Fitriani Forsberg, Neil Galonso, Nitro Hadi, Normi Abdul Hdiana, Yazid Zinedine Hidayah, Rekti Nurul Humairosi, Lutfia Jenny Indrastoeti Siti Poerwanti, Jenny Indrastoeti Siti Kalaha, Evelin Kurniawati, Virda Matsuri, Matsuri Monoarfa, Yustiyanty Mukhlisin, Zaenal Munandar, Ahmad Rizki Mustofa Usman Napitupulu, Joni Nisa, Fauzizah Nasyirotun Nisa, Rizki Khoirun Nitro Galenso Nosa, Ferzy Tryanda Notiragayu Notiragayu, Notiragayu Nugroho, Prihasantyo Siswo Nuraini, Maydia Egi Okti Sri Purwanti Okzarima, Wenty Putri, Amelia Fallizia Qotrunnada, Hasna Fadhilah Rafdiono, M Naufal Ammar Ramadhani, Putri Salsabila Romdhoni, Muhammad Fadhol Rozak, Fatur Russel, Edwin S Otoluwa, Anang Salsabila, Anindya Dafa Sari Rahmadhani Sawitri, Riza Setiawan, Noferdis Shella, Tiara Pramay Simatupang, Agustino Su'admaji, Arif Suciati, Indah Sulandra, Ardelia Maharani Sumiyanti, Tri Tiwow, Marlin Utami, Bernadhita Herindri Samodera Wamiliana Wamiliana Wamiliana Warsono Warsono Warsono Widiarti Wijianto Wijianto