Siti Rahayu Nadhiroh^1,*, Ira Nurmala², Iqbal Pramukti³, Kamolthip Ruckwongpatr⁴, Laila Wahyuning Tyas², Afina Puspita Zari², Warda Eka Islamiah¹, Yan-Li Siaw⁵, Marc N. Potenza^{6,7,8,9,10,11}, Chung-Ying Lin^{12,13,14,15,*}

International Journal of Mental Health Promotion, Vol.27, No.12, pp. 1847-1865, 2025, DOI:10.32604/ijmhp.2025.072115 - 31 December 2025

Abstract Objectives: Problematic use of the internet (PUI) has been increasingly associated with various mental health issues, highlighting the need for accurate assessment tools. The Assessment of Criteria for Specific Internet-use Disorder (ACSID-11) is a validated psychometric instrument designed to measure distinct forms of PUI across multiple online activities. However, its applicability and validity have not yet been established within the Indonesian context. Therefore, this study aimed to translate and validate the ACSID-11 for use among Indonesian populations. Methods: The translation procedure of the ACSID-11 involved forward translation, back translation, and expert panel discussions. This research involved… More >

Luthfi Hakim^1,*, Yunida Syafriani Lubis², Apri Heri Iswanto¹, Harisyah Manurung¹, Jayusman², Widya Fatriasari³, Petar Antov⁴, Tomasz Rogoziński⁵, Lee Seng Hua⁶, Nur Izyan Wan Azelee⁷

Journal of Renewable Materials, Vol.13, No.12, pp. 2355-2373, 2025, DOI:10.32604/jrm.2025.02025-0078 - 23 December 2025

Abstract Activated charcoals were synthesized from sugar palm bunches (SPB) of the native tree of Arenga longipes in Indonesia. The synthesized activated charcoal (AC) was characterized, and utilized as an absorbent for heavy metals (lead/Pb and copper/Cu) through thermal activation. The synthesis of AC was accomplished through furnace activation at temperatures of 500°C, 600°C, 700°C, and 800°C. Acid chlorides were blended with the SPB-AC samples at 5% impregnation level and subsequently subjected to washing for activation, resulting in the elimination of volatile substances and ash content, which facilitates the development of a porous structure in the activated… More >

Congenital Heart Disease, Vol.20, Suppl.1, pp. 1-49, 2025

Abstract This article has no abstract. More >

Qaisara Yusriena Yusaini¹, Muhammad Abdul Hakim Muhamad^1,*, Raiz Razali^1,*, Rozaimi Che Hasan², Mohd Shahmy Mohd Said¹, Mohd Zainee Mohd Zainal^1,2, Ikhsan Nuradi³

Revue Internationale de Géomatique, Vol.34, pp. 535-552, 2025, DOI:10.32604/rig.2025.065284 - 06 August 2025

Abstract Sediment mapping is a crucial component of environmental science, particularly in the marine environment, where the analysis of seabed sediments is essential for various purposes, including marine resource management, habitat preservation, and infrastructure development. Sediment refers to the solid particles that are transported and deposited in different areas. Multibeam echosounders have revolutionized the field of seabed sediment mapping by providing unparalleled resolution and accuracy in seafloor surveys. This study aimed to produce sediment maps by implementing multi-frequency, e.g., 200, 400, 550, and 700 kHz multibeam data using a machine learning algorithm, e.g., Support Vector Machine… More >

Luthfi Hakim^1,*, Apri Heri Iswanto^1,*, Yunida Syafriani Lubis², Adam Jagwani Wirawan¹, Ridwanti Batubara¹, Nam Hum Kim³, Petar Antov⁴, Tomasz Rogoziński⁵, Lee Seng Hua⁶, Lum Wei Chen⁷, Rangabhashiyam Selvasembian⁸, Jayusman², Jajang Sutiawan⁹

Journal of Renewable Materials, Vol.13, No.3, pp. 637-650, 2025, DOI:10.32604/jrm.2025.056365 - 20 March 2025

Abstract The utilisation of sugar palm bunches-charcoal briquettes (SPB-CB) represents a significant advancement in biomass energy. This study aimed to analyse the properties of charcoal briquettes produced from SPB (Arenga longipes). The experiment involved categorising the dimensions of charcoal powder into three specific particle sizes: 20–40 mesh, 40–60 mesh, and particles that could pass through a 60-mesh screen. The charcoal powder will be combined with tapioca as a binding agent at three specific concentrations: 11%, 13%, and 15%. The research findings indicate that the samples underwent 60 mesh passes achieved the maximum briquette density, with an average… More >

Walter Timo de Vries^*, Cristina Astudillo, Achmad Ghozali

Revue Internationale de Géomatique, Vol.34, pp. 125-149, 2025, DOI:10.32604/rig.2025.057970 - 11 March 2025

Abstract The development of Indonesia’s New Capital City (Ibu Kota Negara (IKN)) does not only offer opportunities but also faces uncertainties. One of these concerns is wastewater management, in terms of volume, location, and treatment facilities. To evaluate how the city might be able to manage this, this study starts with a theoretical evaluation of which wastewater management principles are crucial. Then the empirical study evaluates where and how the current infrastructure of the IKN could manage the wastewater and assesses—based on spatial scenarios—if the current wastewater management plans for the IKN are adequate. A Geographic… More >

Martias¹, Dewi Fatria², Adha Fatmah Siregar², Raden Heru Praptana^3,*, Antonius Kasno³, Muhammad Prama Yufdy⁴, Riska⁴, Ni Luh Putu Indriyani⁴, Affandi⁴, Tri Budiyanti⁴, Sri Hadiati⁴, Ellina Mansyah⁴, Irwan Muas⁴, Jumjunidang⁴, Mizu Istianto⁴, Djoko Mulyono⁴, Intan Gilang Cempaka⁴, Triyani Dewi⁴, Agus Supriyo³, Bambang Nuryanto³

Phyton-International Journal of Experimental Botany, Vol.93, No.11, pp. 2767-2786, 2024, DOI:10.32604/phyton.2024.055686 - 30 November 2024

Abstract West Sumatera is one of the largest mangosteen production centers in Indonesia. After the 2019 harvest season, there were variations in fruit production and quality which indicated symptoms of zinc (Zn) deficiency. This study evaluates the status of Zn for increasing the production and quality of mangosteen fruit Ratu Kamang cv. The study was conducting using the observation method in Lima Puluh Kota, West Sumatera from January to December 2020. This study used ten mangosteen trees aged 23 years in three locations selected purposively. Parameters observed included soil properties, leaf nutrients, number of fruits; fruit,… More >

Chao-Lung Yang¹, Yulius Harjoseputro^2,3, Yu-Chen Hu⁴, Yung-Yao Chen^2,*

CMC-Computers, Materials & Continua, Vol.73, No.3, pp. 4577-4593, 2022, DOI:10.32604/cmc.2022.031305 - 28 July 2022

Abstract This research proposed an improved transfer-learning bird classification framework to achieve a more precise classification of Protected Indonesia Birds (PIB) which have been identified as the endangered bird species. The framework takes advantage of using the proposed sequence of Batch Normalization Dropout Fully-Connected (BNDFC) layers to enhance the baseline model of transfer learning. The main contribution of this work is the proposed sequence of BNDFC that can be applied to any Convolutional Neural Network (CNN) based model to improve the classification accuracy, especially for image-based species classification problems. The experiment results show that the proposed More >

Rofingatul Mubasyiroh^1,*, Indri Yunita Suryaputri¹, Sri Idaiani², Lely Indrawati¹, Tri Wurisastuti¹, Siti Isfandari¹, Nikson Sitorus¹, Enung Nurhotimah³, Felly Philipus Senewe¹

International Journal of Mental Health Promotion, Vol.24, No.5, pp. 725-737, 2022, DOI:10.32604/ijmhp.2022.021452 - 27 July 2022

Abstract The extraordinary situation related to COVID-19 makes people worry about their health, family health, work, finances, and other daily activities. This condition can lead to social unrest, which has consequences for mental health problems. This study aims to determine the mental health consequences at the beginning of the COVID-19 pandemic in Indonesia. This is a cross-sectional study involving a target population aged 18 years and over who had access to electronic communication devices. An online questionnaire was randomly distributed and snowballed throughout 34 provinces in Indonesia. The study was conducted from 2 to 4 May… More >

Ansari Saleh Ahmar^1,2,*, Eva Boj del Val³, M. A. El Safty⁴, Samirah AlZahrani⁴, Hamed El-Khawaga^5,6

CMC-Computers, Materials & Continua, Vol.70, No.3, pp. 6007-6022, 2022, DOI:10.32604/cmc.2022.021382 - 11 October 2021

Abstract This study focuses on the novel forecasting method (SutteARIMA) and its application in predicting Infant Mortality Rate data in Indonesia. It undertakes a comparison of the most popular and widely used four forecasting methods: ARIMA, Neural Networks Time Series (NNAR), Holt-Winters, and SutteARIMA. The data used were obtained from the website of the World Bank. The data consisted of the annual infant mortality rate (per 1000 live births) from 1991 to 2019. To determine a suitable and best method for predicting Infant Mortality rate, the forecasting results of these four methods were compared based on More >