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AI-Based Decision Support System for Learning Growth Performance Workforce Use Certainty Factor and Constraint Evaluation
This study presents the design and computational evaluation of an AI-based decision support system for workforce performance in an AI-driven environment under constrained conditions. Previous research has largely emphasized technological determinants and adequate conditions, while neglecting the constraint mechanisms that limit achievable performance. To address this gap, this study integrates Partial Least Squares Structural Equation Modeling (PLS-SEM) and Necessary Condition Analysis (NCA) int...
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Banana Peel-Derived Activated Carbon/MnO₂ Composites for Supercapacitor Electrode Applications
Herwanti, Katarina
; Saptono Nugrohadi
; Muhammad Taufiq Anwar
; Stanislaus Christo Petra Nugraha
; Dail Umamil Asri
; Noening Andrijati
Banana peel waste is an abundant agricultural by-product with high carbon content but remains largely underutilized. This study presents a preliminary investigation into the conversion of banana peel waste into activated carbon and its integration with manganese dioxide (MnO₂) to produce biomass-derived composite electrodes for supercapacitor applications. Activated carbon was prepared by carbonization followed by chemical activation using 30 wt% H₃PO₄, while MnO₂–carbon composites were synthesi...
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Enhanced Self-Esteem Classification: Leveraging Data Augmentation and Transformer-Based Sentence Embeddings
Ahmadiansah, Reza
; Mukti Ali
; Rasimin
; Achmad Maimun
; Kastolani
; Imam Subqi
; Embun Bening Di Moravia
; Semma, Andi Bahtiar
This study investigates automated self-esteem assessment from self-descriptive text using transformer-based sentence embeddings. Although prior research has explored text, behavioral, and multimodal signals, the combined effects of data augmentation, embedding choice, and classifier complexity in text-only self-esteem classification remain insufficiently understood.Accordingly, this study aims to systematically evaluate embedding–classifier combinations under both low-resource and augmented data...
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Loading-Dependent Physicochemical Characteristics of LiMn2O4 Composites with Plasma-Modified and Ammonia-Functionalized Rice Husk Carbon
Harianingsih, Harianingsih
; Deni Fajar Fitriyana
; Januar Parlaungan Siregar
; Agung Budiwirawan
; Ari Dwi Nur Indriawan
; Suryo Wiroyudho Wibowo
; Rizky Ilham Fadzillah
; Nabila Khoirunisa
This study investigates LiMn2O4 composites incorporated with nitrogen-functionalized rice husk-derived carbon as a sustainable secondary phase for cathode material development. Rice husk carbon was prepared through carbonization, acid-assisted activation, plasma treatment, and ammonia functionalization, then mechanically blended with LiMn2O4 at 2, 3, and 4 wt.% to obtain LMO-NC2, LMO-NC3, and LMO-NC4, respectively. FTIR analysis showed absorption bands at approximately 3390, 1625, 1400, 1008, 83...
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Microwave-Assisted Self-Healing of AC-WC Modified with Iron Powder: Mechanical Performance and Healing Rate
Amalia Firdaus Mawardi
; Machsus Machsus
; Dadang Supriyatno
; Achmad Faiz Hadi Prajitno
; Muhammad Fikri Nadhif
; Hazen Masrafat
Conventional asphalt mixtures have limited microwave absorption, reducing the effectiveness of microwave-assisted self-healing. This study evaluates the effect of iron powder (0–10% by mass of fine aggregate) as additional fine aggregate in AC-WC mixtures on mechanical performance and microwave-activated healing behavior. Cylindrical specimens (63 mm × 100 mm; three per mixture) were tested using Marshall Stability and Indirect Tensile Strength (ITS) at 25 °C. Healing efficiency was determined b...
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LDWFOX Optimization for Hyperparameter Tuning of Inception CNN in UAV-Based Vegetation Density Mapping
Pramunendar, Ricardus Anggi
; Alomoush, Ashraf
; Prabowo, Dwi Puji
; Megantara, Rama Aria
; Alzami, Farrikh
; Winarsih, Nurul Anisa Sri
; Pergiwati, Dewi
; Shidik, Guruh Fajar
Vegetation density classification from UAV imagery is a practical necessity in fire-prone landscapes, since fuel load on the ground directly informs risk management decisions. Convolutional neural networks handle this classification reasonably well, but good performance requires careful hyperparameter tuning, and manual trial and error produces results that are unstable and hard to reproduce. This study proposes LDW-FOX, a modified FOX metaheuristic using a Linearly Decreasing Weight mechanism t...
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Technical and Operational Evaluation of SRT-Based IP Contribution for Live Television Broadcasting
Secure Reliable Transport (SRT) is increasingly used for IP-based live-broadcast contribution because it enables low-latency delivery, packet recovery, and encrypted transport over public networks. However, its practical value depends on measurable performance under real operating conditions and disciplined operational control. This study evaluates the implementation of SRT in live football league and volleyball broadcasts using bounded case evidence from operational records, questionnaires, and...
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Model Pendampingan Rebranding UMKM Berbasis Partisipatif dalam Penguatan Citra dan Daya Saing Produk Lokal di Desa Somosari, Kabupaten Jepara
Mahfudlah Fajrie
; Fajrie, Mahfudlah
; Putri Aprilia, Ika
; Fathiya Izzatullah, Hani
; Hisyam Maulana, Muhammad
; Afandi Setiadi, Muhammad
Usaha Mikro, Kecil, dan Menengah (UMKM) memiliki peran strategis dalam mendorong pertumbuhan ekonomi desa, namun masih menghadapi berbagai kendala dalam aspek branding dan pemasaran produk. UMKM “2 Saudara” di Desa Somosari, Kabupaten Jepara, merupakan salah satu pelaku usaha makanan ringan yang mengalami keterbatasan pada identitas visual, desain kemasan, dan strategi promosi sehingga berdampak pada rendahnya daya saing produk. Penelitian ini bertujuan untuk mengembangkan dan mengimplementasika...
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Pengembangan Digital Pressure Meter Berbasis IoT untuk Pengujian Tekanan Suction Pump dan Pencatatan Data Otomatis
MEDIKA TRADA : Jurnal Teknik Elektomedik Polbitrada
Vol 7
, No 1
(2026)
A suction pump requires periodic vacuum-pressure verification to support consistent performance assessment and reliable documentation. This study developed an Internet of Things (IoT)-based Digital Pressure Meter (DPM) that displays pressure in mmHg, Pascal (Pa), and bar and transmits measurement records to Google Sheets. The device integrated an Arduino Mega 2560, an MPX5050DP pressure sensor, a DHT22 sensor, a TFT LCD, and an ESP8266 module. Testing was performed at 0, 50, 100, 150, and 200 mm...
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PENGUATAN LITERASI DIGITAL MELALUI WORKSHOP DATA SCIENCE DAN MACHINE LEARNING BERBASIS PEMBELAJARAN INTERAKTIF
Abdi Teknoyasa
(2026)
Kegiatan pengabdian kepada masyarakat ini bertujuan untuk meningkatkan literasi data serta pemahaman konseptual dan aplikatif mengenai Data Science dan Machine Learning bagi sivitas akademika dan masyarakat umum. Kagiatan dilaksanakan oleh tim pengabdian masyarakat Program Studi Teknik Industri, Institut Teknologi Indonesia, melalui penyelenggaraan workshop berbasis pembelajaran interaktif. Materi pelatihan mencakup pengantar konsep data science, teknik pengumpulan dan pembersihan data, analisis...
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