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 71–80 dari 8475 artikel
Performance Evaluation of a Community-Scale Fiberglass Anaerobic Digester for Biogas and Nutrient Recovery
The management of organic waste using an anaerobic reactor offers the potential for renewable energy production and nutrient recovery. This study evaluates the performance of a 3,000 L fiberglass anaerobic reactor designed to treat a mixture of kitchen waste, cow manure, and water in a 1:1:1 ratio. The process was conducted under mesophilic conditions (30–38 °C) over a 40-day batch cycle. The reactor produced a total of 63.75 m³ of biogas with an average methane content of 59.3%, equivalent to 0...
Google Scholar
DOI
Effect of Printing Speed on the Properties of 3D Printed Products Using Recycled PET Filament
Fitriyana, Deni Fajar
; Agung Efriyo Hadi
; Nugroho Suhodo
; Aldias Bahatmaka
; Januar Parlaungan Siregar
; Tezara Cionita
; Zuhriyan Ash Shiddieqy Bahlawan
; Achmad Yanuar Maulana
Recycled PET has been widely studied for its potential use in 3D printing applications. However, few research has examined how printing speed affects recycled PET filament products' mechanical and physical qualities. This research examines how printing speed influences the physical and mechanical qualities of 3D-printed PET filament goods created from mineral water bottle trash. In this study, filament fabrication is carried out using the homemade pultrusion machine, then the filament is used fo...
Google Scholar
DOI
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
Corrosion Inhibition of Mild Steel by Ethanolic Terminalia microcarpa Decne Leaf Extracts in 3.5% NaCl Solution: A Gravimetric and Surface Analysis Studies
Mild steel is widely used but vulnerable to corrosion, with conventional inhibitors posing toxicity risks. This study evaluated the leaf extracts of Terminalia microcarpa Decne, also locally known as kalumpit, as a green corrosion inhibitor for mild steel in a 3.5% NaCl solution. The prepared extracts, characterized by FTIR, were found to contain phytochemicals with inhibition potential. Weight loss measurements showed that inhibition efficiency was concentration-dependent, but was not influence...
Google Scholar
DOI
Comparative Evaluation of Automatic Labeling and Modeling Strategies for Indonesian Sentiment Analysis: Methodology and Performance Evaluation
Latifa, Khoiriya
; Agung Handayanto
; Nur Latifah Dwi M.S
; Rahul Bhandari
; Ton Nguyen Trong Hien
; Doston Pirnazarov
Sentiment analysis is vital for understanding consumer perception, yet Indonesian sentiment classification faces challenges due to labeled data scarcity and computational constraints. This study advances automatic labeling techniques and establishes performance benchmarks for Indonesian text. The research compares two labeling approaches InSet Lexicon and IndoBERT based Hugging Face pipeline on 8,447 Tapera-related opinions. Results show InSet Lexicon produced a highly skewed distribution (89.66...
Google Scholar
DOI
Exploring Mathematics Teachers’ Perceptions of ChatGPT for Personalized Learning and Technology Dependence
The development of artificial intelligence, particularly ChatGPT, has begun to influence mathematics learning in classrooms. This technology is not only used as a learning support tool but also affects how teachers teach and how students understand mathematical concepts. This study aims to analyze the effectiveness of ChatGPT in mathematics learning, its benefits and challenges, and the potential for technology dependence based on mathematics teachers’ perspectives. This study employed a System...
Google Scholar
DOI
Deteksi Aktivitas Vape Berbasis Yolov8 pada Citra dan Video dengan Pendekatan Deep Learning
Lahuddin, Lahuddin
; Larasati, Pamela
; Hasbi, Abdilah
; Lahuddin, Lahuddin
; Larasati, Pamela
; Hasbi, Abdilah
Perkembangan teknologi artificial intelligence, khususnya dalam bidang computer vision dan deep learning, telah mendorong lahirnya berbagai sistem otomatis dalam analisis citra dan video. Salah satu implementasi yang banyak digunakan adalah deteksi objek secara real-time menggunakan algoritma YOLO (You Only Look Once). Di sisi lain, penggunaan rokok elektronik atau vape semakin meningkat, terutama di lingkungan pendidikan, sehingga diperlukan sistem pengawasan otomatis yang mampu mendeteksi akti...
Google Scholar
DOI
Grouping of Student Attendance Discipline Levels Based on Daily Attendance Data Using the K-Means Algorithm
Putri, Syahwa Mutiara
; Rahmawati, Anita
; Bella, Alfina Chintya
; Gurowo, Damar Aji
; Arifin, Muhammad
; Putri, Syahwa Mutiara
; Rahmawati, Anita
; Bella, Alfina Chintya
; Gurowo, Damar Aji
; Arifin, Muhammad
Kedisiplinan kehadiran siswa merupakan aspek penting dalam proses pembelajaran karena mencerminkan partisipasi, tanggung jawab, dan kepatuhan terhadap aturan sekolah. Namun, data absensi sering kali hanya diperlakukan sebagai catatan administratif dan jarang dianalisis untuk mengidentifikasi pola keterlambatan yang berulang. Penelitian ini bertujuan untuk mengelompokkan pola keterlambatan siswa berdasarkan data absensi harian menggunakan algoritma K-Means guna memberikan gambaran yang lebih ters...
Google Scholar
DOI
Sistem Informasi Penerimaan Jasa Tenaga Kerja Berbasis Website dengan Metode Extreme Programming (Studi Kasus PT: Gunung Batu)
Pramudya, Bagas
; Ariati, Nining
; Dhamayanti, Dhamayanti
; Pramudya, Bagas
; Ariati, Nining
; Dhamayanti, Dhamayanti
Sumber Daya Manusia di dalam suatu perusahaan merupakan faktor yang mendukung dalam persaingan di era sekarang. Sumber Daya Manusia juga merupakan motor penggerak disuatu perusahaan ketika Sumber Daya Manusia disuatu perusahaan tidak sesuai dengan yang dibutuhkan maka akan berdampak juga terhadap majunya perusahaan. Banyak perusahaan atau instansi memanfaatkan Teknologi infomasi sebagai sarana promosi dan informasi dalam mengembangkan peluang Sumber Daya Manusiannya dimana salah satunya adalah P...
Google Scholar
DOI
Design and Development of an Android-Based Basic Mathematics Learning Information System for Elementary School Students
Hidayah , Wandini Nurul
; Abdul Haq, M Taufiq
; Marsehan, Ahmad
; Hidayah , Wandini Nurul
; Abdul Haq, M Taufiq
; Marsehan, Ahmad
JUISI : Jurnal Ilmiah Sistem Informasi
Vol 3
, No 1
(2026)
Penelitian ini bertujuan mengembangkan aplikasi simulasi matematika dasar berbasis Android sebagai media pembelajaran interaktif bagi siswa sekolah dasar. Penelitian dilatarbelakangi oleh rendahnya keterlibatan siswa dan kesulitan siswa dalam memahami konsep aritmatika dasar melalui metode pembelajaran konvensional. Aplikasi dirancang dengan mengintegrasikan modul latihan, permainan edukatif dengan tingkat kesulitan bertahap, serta sistem penghargaan berbasis pencapaian untuk meningkatkan motiva...
Google Scholar
DOI