Klaim Artikel Anda
Verifikasi kepemilikan artikel akademik
Apakah artikel-artikel ini milik Anda?
Daftarkan diri Anda sebagai author untuk mengklaim artikel dan dapatkan profil akademik terverifikasi dengan fitur lengkap.
Badge Verifikasi
Profil terverifikasi resmi
Statistik Lengkap
H-index, sitasi, dan metrik
Visibilitas Tinggi
Tampil di direktori author
Kelola Publikasi
Dashboard artikel terpadu
Langkah-langkah Klaim Artikel:
- 1. Daftar akun author dengan email akademik Anda
- 2. Verifikasi email dan lengkapi profil
- 3. Login dan buka menu "Klaim Artikel"
- 4. Cari dan klaim artikel Anda
- 5. Tunggu verifikasi dari admin (1-3 hari kerja)
Menampilkan 31–40 dari 1463 artikel
Microwave-Pyrolysed Rice Husk-Derived Activated Carbon as a Sustainable Anode Material for Lithium-Ion Half-Cell Batteries
Surib , Nur Atiqah
; Mohd Abdah, Muhammad Amirul Aizat
; Farhana Syakirah Ismail
; Wong, Weng Pin
; Ab Latif, Farah Ezzah
; Mustafa, Muhammad Norhaffis
; Rashmi Walvekar
; Mohammad Khalid
Agricultural waste biomass is explored as a sustainable precursor for activated carbon. In this study, rice husk-derived activated carbon (RHAC) was synthesized via microwave-assisted pyrolysis and KOH activation at 600, 700, and 800 °C. The KOH activation enhanced the thermal stability of the samples, with RHAC_700 exhibiting a spongy, interconnected structure and a surface area of 390.33 m² g⁻¹. When evaluated as a half-cell anode materials for lithium-ion batteries, RHAC_700 delivered an init...
Google Scholar
DOI
MORPHOLOGICAL CHARACTERIZATION OF BRAIN TUMOR TISSUE IN MRI IMAGES USING CNN AND TRANSFER LEARNING
Hilmi, Dafa Fadhilah
; Wibawa, Aji Prasetya
; Agustavada, Ardha Ardhana Putra
; Sholum, Abdullah
; Dwiyanto, Felix Andika
This study evaluates the role of computational pattern recognition as an observational method for analyzing morphological characteristics of brain tumor tissue in MRI data. A total of 6,056 labeled MRI images, including glioma, meningioma, and pituitary tumor cases, were examined. The images were standardized to maintain uniform structural representation and processed using three convolutional-based architectures: a baseline CNN, MobileNetV2, and EfficientNet-B0. Model performance was assessed u...
Google Scholar
DOI
Optimizing the Accuracy of Financial Reporting of Retail MSMEs Through the Development of a Web-Based Inventory Accounting Information System: A Case Study of Toserba Indah Kendal
Pratiwi, Hana
; Aqham, Ahmad Ashifuddin
; Sudirman, Bagus
; Munifah, Munifah
; Pratiwi, Hana
; Aqham, Ahmad Ashifuddin
; Sudirman, Bagus
; Munifah, Munifah
JUISI : Jurnal Ilmiah Sistem Informasi
Vol 4
, No 2
(2026)
Perkembangan teknologi informasi telah mendorong transformasi digital pada berbagai sektor usaha, termasuk usaha mikro dan menengah. Pengelolaan persediaan barang yang tidak didukung sistem informasi yang baik berpotensi menimbulkan kesalahan pencatatan, keterlambatan pelaporan, serta ketidaksesuaian data yang berdampak pada pengambilan keputusan manajerial. Toserba Indah Kendal sebagai usaha dagang masih menerapkan pencatatan persediaan dan laporan keuangan secara manual menggunakan buku tulis,...
Google Scholar
DOI
Pengaruh Liquidity, Leverage, Profitability, Sales Growth, dan Firm Size Terhadap Cash Holding
This research analyzed the influence of liquidity, leverage, profitability, sales growth, and firm size on cash holdings. The research is quantitative, using secondary data from annual financial reports of primary consumer industries listed on the Indonesia Stock Exchange from 2022 to 2024. Liquidity is measured by the Current Ratio, which is calculated as current assets divided by current liabilities. Leverage, proxied by the Debt-to-Equity Ratio, is measured by total liabilities divided by tot...
Google Scholar
DOI
Attention-Augmented GRU for Stock Forecasting: A Trade-Off Between Directional Accuracy and Price Prediction Error
R. Daniel Hartanto
; Guruh Fajar Shidik
; Farrikh Alzami
; Ahmad Zainul Fanani
; Aris Marjuni
; Abdul Syukur
Journal of Computing Theories and Applications
Vol 3
, No 4
(2026)
Attention mechanisms have been widely incorporated into recurrent neural network architectures for financial time series forecasting, with most prior work reporting improvements in price-level error metrics. This study revisits that claim through a controlled empirical comparison of four deep learning architectures on nearly two decades of Telkom Indonesia (TLKM) closing price data from the Indonesia Stock Exchange (IDX). The models evaluated are a three-layer Gated Recurrent Unit (GRU) baseline...
Sumber Asli
Google Scholar
DOI
Behavioral Malware Detection via API Call Sequences: A Comparative Study of LSTM and Transformer Architectures Using NLP-Inspired Representations
Journal of Computing Theories and Applications
Vol 3
, No 4
(2026)
The increasing sophistication of malware has rendered traditional signature-based detection methods insufficient, necessitating behavior-driven and adaptive analytical frameworks. This study presents a sequential deep learning framework that models system-level API call sequences as structured linguistic representations for behavioral malware detection. Unlike conventional comparative studies, this work systematically evaluates recurrent and attention-based architectures under controlled experim...
Sumber Asli
Google Scholar
DOI
Analisis Pola Global dan Lokal Determinan Prevalensi Stunting di Jawa Tengah Tahun 2024 Menggunakan Geographically Weighted Regression
Nugroho, Ivan Wahyu
; Febriansyah, Candra Rifki Eka
; Rahmadhani, Oktavia Suci
; Murti, Basugandhi Sasangka
; Sabil, Safina
; Zuhdi, Shaifudin
; Shaifudin Zuhdi, Universitas Sebelas Maret, Fakultas Teknologi Informasi dan Sains Data
Jurnal Kesehatan Masyarakat Indonesia
Vol 21
, No 1
(2026)
Latar belakang: Stunting masih menjadi permasalahan kesehatan masyarakat yang serius di Indonesia, salah satunya di Jawa Tengah. Pendekatan analisis global sering kali belum mampu menangkap perbedaan pengaruh determinan stunting secara local. Tujuan: Penelitian ini bertujuan untuk mengidentifikasi pola global dan lokal determinan stunting di Jawa Tengah menggunakan. Metode: Penelitian kuantitatif ini menggunakan data sekunder agregat dari 35 kabupaten/kota di Jawa Tengah. Analisis dilakukan meng...
Sumber Asli
Google Scholar
DOI
KINERJA BIDAN TERHADAP CAKUPAN IMUNISASI DASAR LENGKAP: STUDI KASUS DI PUSKESMAS BATUWARNO
Jurnal Kesehatan Masyarakat Indonesia
Vol 21
, No 1
(2026)
Latar belakang: Capaian Imunisasi Dasar Lengkap (IDL) di Jawa Tengah mengalami fluktuasi dan belum mencapai target Renstra pada beberapa tahun terakhir, dengan penurunan signifikan terjadi di tingkat kecamatan seperti di Puskesmas Batuwarno. Kinerja bidan sebagai pelaksana utama memegang peranan krusial dalam keberhasilan program ini. Tujuan: Penelitian ini bertujuan untuk menganalisis kinerja bidan terhadap cakupan imunisasi dasar lengkap ditinjau dari aspek perencanaan, pelaksanaan, serta pema...
Sumber Asli
Google Scholar
DOI
Integrating BSF larvae for the sustainable bioconversion of banana peels and sprout hulls waste
Rizkawati, Vina
; Andhini, Shabrina Lathiifah
; Noer, Mohamad Isnin
; Yudistira, Dwi Harya
; Kurniati, Tri Handayani
; Lisanti, Elsa
; Komala, Ratna
; Herlin, Weri
The management of organic waste presents a significant challenge in Indonesia, especially fruit and vegetable by-products. Black Soldier Fly (BSF, Hermetia illucens) larvae offer an effective solution due to their high potential for organic waste conversion. This study investigated the efficacy of BSF larvae in reducing and bioconverting organic waste composed of banana peels and sprout hulls, and examined the influence of EM4 fermentation on larval growth performance. Waste Reduction Index (WRI...
Google Scholar
DOI
Mangrove Biodiversity for Coastal Resilience and Sustainability: A Dynamic Case Study from Indonesia
Martuti, Nana Kariada Tri
; Jabbar, Abdul
; Irsadi, Andin
; Sidiq, Wahid Akhsin Budi Nur
; Melati, Inaya Sari
; Eldin Khair, Amar Sharaf
; Mutiatari, Dhita Pracisca
Mangrove degradation and socio-economic vulnerability in the Kendal coast require an integrated approach. The study used ecological surveys (mangrove vegetation analysis, avifauna) and socio-economic (n=186 households). Integrated Coastal Management (ICM) analysis and model were developed using a dynamic approach, encompassing problem identification, conceptual model formulation, and validation preparation. 14 mangrove species (H' index = 1.58–1.80) and 61 bird species (H' = 3.50) were found. Co...
Google Scholar
DOI