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 11–20 dari 787 artikel
Comparative Deep Learning Models for Indonesian Gold Price Forecasting
Putra, Albi Pernata Jomantara
; Williamsyah, Baginda Mi’raj
; Rizal, Achmad
; Dewanta, Favian
; Prasasti, Anggunmeka Luhur
; Ziani, Said
This study evaluates LSTM, CNN-LSTM, LSTM-GRU, and CNN-LSTM-GRU architectures for forecasting Indonesian gold prices using 1,269 daily observations (2022–2025). Models utilized Bayesian-optimized hyperparameters and were benchmarked against ARIMA-GARCH and Random Forest baselines across 30-day and 365-day horizons. Performance was assessed via MAE, RMSE, R², and MAPE, confirming deep learning’s superiority in capturing non-linear dynamics over classical methods. The LSTM-GRU achieved the best nu...
Google Scholar
DOI
Community Service Model for 3kWp Solar Power Plant System Maintenance in the Sayung Coastal Pilgrimage Area
Kuspranoto, Abdul Haris
; Ali Hasan, Ahmad
; Permana Sabputra, Novantioro
; Ulin Nuha ABA, Muhammad
; Ali Hasan, Ahmad
; Permana Sabputra, Novantioro
; Ulin Nuha ABA, Muhammad
Jurnal Pengabdian Multidisiplin dan Pemberdayaan Masyarakat: Abdikes Trada
Vol 3
, No 1
(2026)
This community service activity aims to develop a maintenance model for a 3 kWp solar power plant (PLTS) system that is suitable for implementation in small-to-medium public service areas in Sayung, specifically the pilgrimage area of the Tomb of Sheikh Abdullah Mudzaki. The coastal setting of tidal flooding, abrasion, high humidity, and limited field access requires a more disciplined operation and maintenance (O&M) approach than typical inland locations. The methods used include synthesis...
Sumber Asli
Google Scholar
DOI
Effect of Freeze-Dried and Oven-Dried Cilembu Sweet Potato Flour on the Antioxidant Activity of Chicken Meatballs.
Putra, Azchar Prianka Piawan
; Sirajuddin, Muhammad Mar'ie
; Malik, Hotlan
; Husein, Muhammad
; Riskayanti, Riskayanti
; Prasetya, Rizki
; Haryati, Stefani Fitri
; Arief, Fitri Armianti
; Dami, Juni Claudia
; Amalia, Ditasari
; Masruri, Alvin
This study evaluated the effect of different dehydration methods, specifically oven drying (60°C) and freeze-drying (-20°C to 65°C), on the antioxidant activity of Cilembu sweet potato (Ipomoea batatas L. Lam) flour and its functional application in chicken meatballs. The antioxidant capacity was measured using the DPPH radical scavenging assay, with results showing that freeze-drying significantly preserved higher levels of bioactive compounds compared to thermal evaporation. Freeze-dried tuber...
Google Scholar
DOI
Pengelolaan Sampah Tingkat Rumah Tangga Melalui Bank Sampah
Dhaningtyas, Shalihat Afifah
; Kristini, Tri Dewi
; Nursetia, Cantika Dwi
; Astiah, Delfika Dwi
; Anggara, Muhammad Surya
; Wibowo, Aditia Fajar Putra
Jurnal Inovasi dan Pengabdian Masyarakat Indonesia
Vol 5
, No 2
(2026)
Latar belakang: Peningkatan jumlah penduduk dan bangunan mengakibatkan peningkatan jumlah konsumsi barang yang dapat menghasilkan sampah TPS (Tempat Pembuangan Sementara). Sampah di sekitar permukiman penduduk sudah tidak mampu lagi menampung volume sampah yang terus meningkat. Tujuan: mengetahui peningkatan pengetahuan warga tentang pengelolaan sampah tingkat rumah tangga. Metode: metode yang digunakan yaitu observasi dengan ceramah, praktik langsung, dan mengerjakan soal pre-test dan post-test...
Sumber Asli
Google Scholar
Knowledge and Breast Self-Examination Practice Among Health and Non-Health University Students
Rahmansyah, M Badzlul
; Hermawan, Farhan Aqil Putra
; Nurhidayati, Nurhidayati
; Lestari, Rizka Vidya
; Afifah, Hanan
VISIKES
Vol 25
, No 1
(2026)
Breast cancer remains the most prevalent malignancy in Mataram City, with many cases diagnosed at advanced stages due to inadequate early screening. This study aims to analyze the relationship between breast cancer knowledge and Breast Self-Examination (BSE/SADARI) practice among health and non-health university students in Mataram. An observational analytic quantitative design with a cross-sectional approach was utilized. Data were collected from 256 female students across multiple universities...
Sumber Asli
Google Scholar
DOI
Integrating Digital Technologies for Sustainable Tourism: Quantitative Assessment of Tech-Enabled Organizational Practices
This study examines how digital transformation technologies drive sustainability performance in the tourism sector by integrating Internet of Things (IoT), artificial intelligence (AI), and big data analytics into organizational culture and leadership. A mixed dataset of 300 tourism enterprises in Asahan Regency, Indonesia, complemented by technical indicators such as energy consumption (kWh) and IoT penetration, was analyzed using Partial Least Squares Structural Equation Modeling (PLS-SEM). Th...
Google Scholar
DOI
A Nonlinear mathematical model of student motivation dynamics with an empirical calibration framework and simulation analysis
Radhiatul Husna
; Angelina Zaskya Hulda
; Indah Rahmadani
; Miftahul Jannah
; Muhammad Zikra
; Najla Nafisa Arsy
; Nanda Putra Kartama
Student learning motivation is a dynamic construct that changes over time in response to support, academic pressure, and fatigue. However, many existing studies examine motivation only at a single point in time or rely on descriptive approaches, limiting their ability to quantify how motivation evolves. This study develops a nonlinear mathematical model of student motivation dynamics and links the model to an empirical calibration framework. The proposed model represents motivation as a bounded...
Google Scholar
DOI
Development of Performance Assessment Tools for Supervision Consultants in Infrastructure Projects
The construction of toll roads requires supervision consultants capable of ensuring project quality, time, and cost performance, yet a structured and measurable assessment framework is lacking. This study develops a comprehensive performance assessment rubric for toll road supervision consultants using quantitative methods, including a literature review, a survey of 50 respondents, validation by six experts, and an application test by 12 evaluators. Data were analyzed using validity and reliabil...
Google Scholar
DOI
Digitalization Assistance Program and Human Resource Capacity Building to Enhance Transparency and Accountability of Koperasi Merah Putih in Karanganyar Gunung Village, Semarang
Widiastuti, C., T
; Sumastuti, Efriyani
; Indriasari, Ika
; Sari, Nur Latifah Dwi Mutiara
; Saputra, Risqi Dian
; Putri, Eva Yuliana
; Suroyya, Nafis
Cooperatives, as a pillar of the people’s economy, play a strategic role in improving community welfare. However, in practice, cooperatives still face various challenges, particularly in terms of digitalisation and the limited capacity of human resources (HR). This community service activity aims to enhance digital literacy and HR capacity through assistance in implementing a digital-based financial system at Koperasi Merah Putih in Karanganyar Gunung, Semarang City. The method employed is a par...
Google Scholar
DOI
Hybrid XGBoost-LSTM Framework for Accurate SOC, SOH, DOD and Internal Resistance Estimation in Li-ion Cells
Accurate estimation of State of Charge (SOC), State of Health (SOH), Depth of Discharge (DOD), and internal resistance is critical for Battery Management Systems (BMS) in electric vehicles and energy storage. Conventional methods fail to capture the nonlinear and temporal dynamics of lithium-ion cells, while existing machine learning approaches lack systematic benchmarking for embedded deployment. This study evaluates three hybrid models XGBoost-LSTM, XGBoost-SVR, and Linear Regression-Random Fo...
Google Scholar
DOI