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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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Data-Driven Machine Learning Models for Steam Turbine Efficiency Prediction
Increased electricity consumption in Indonesia requires coal-fired power plants to operate at high efficiency. This study proposes a data-driven approach to predict the efficiency of coal-fired steam turbines by utilizing 844 historical operational data points from the XYZ coal-fired power plant. Input variables include main steam pressure and temperature, main steam flow, final feedwater temperature, and condenser vacuum pressure. Four machine learning algorithms, namely Random Forest, Extra Tr...
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Prototype and Validation of an IoT-Based Voltage and Temperature Monitoring System for Remote ISP Point-of-Presence (POP) Infrastructure
Monitoring electricity and temperature is crucial for maintaining PoP server performance. This research developed an Internet of Things (IoT)-based tool using a NodeMCU ESP32 to directly monitor these two factors. The ZMPT101B sensor measures electrical voltage, while the DHT22 sensor monitors the temperature of the room and server rack. Information obtained from the sensor is sent in real time via a Telegram Bot to the administrator. This tool is particularly useful for PoP located remotely, as...
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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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OPTIMALISASI PENGELOLAAN SAMPAH ORGANIK RUMAH TANGGA MENGGUNAKAN METODE BIO-ECOMPOST UNTUK PRODUKSI KOMPOS DI KELURAHAN ANDUONOHU
Abdi Teknoyasa
(2026)
Pengelolaan sampah organik rumah tangga masih menjadi tantangan di Kelurahan Anduonohu, Kota Kendari, seiring tingginya timbulan sampah dan rendahnya praktik pemilahan di tingkat rumah tangga. Kegiatan pengabdian ini bertujuan untuk mengoptimalkan pengelolaan sampah organik melalui penerapan metode bio-Ecompost sebagai teknologi tepat guna dalam produksi kompos rumah tangga. Metode pelaksanaan meliputi sosialisasi, pelatihan teknik pengomposan, pendampingan implementasi pada 20 rumah tangga, ser...
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REPRESENTASI KONSTRUKSI REALITAS KARAKTER HAN SORA DALAM FILM FOLLOWING (ANALISIS SEMIOTIKA ROLAND BARTHES)
Rachmania, Rizqina
; Universitas Muhammadiyah Tangerang
; Sari, Dian Nurvita
; Universitas Muhammadiyah Tangerang
; Primagara, Megi
; Universitas Muhammadiyah Tangerang
; Hamidi, Hamidi
; Universitas Muhammadiyah Tangerang
Aguna: Jurnal Ilmu Komunikasi
Vol 7
, No 2
(2026)
Penelitian ini dilatarbelakangi oleh maraknya fenomena manipulasi identitas di media sosial yang mewajibkan batas antara fakta dan citra. Fokus utama penelitian ini adalah menganalisis representasi konstruksi realitas pada karakter Han Sora dalam film Following (2024). Tujuan penelitian ini adalah untuk membedah mekanisme naratif dan sinematik yang digunakan subjek dalam membangun identitas artifisial, serta dampaknya terhadap krisis identitas individu di era post-truth . Penelitian ini mengguna...
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IMPLEMENTASI DAN PELATIHAN SISTEM PENDAFTARAN ONLINE KARTU TANDA ANGGOTA MUHAMMADIYAH RANTING KEBAKKRAMAT
Abdi Teknoyasa
(2026)
Muhammadiyah merupakan salah satu organisasi islam terbesar yang ada di Indonesia. Organisasi ini memiliki banyak cabang dan ranting disetiap kota dan kecamatan di seluruh Indonesia. Kecamatan Kebakkramat yang terletak di kabupaten Karanganyar, Jawa Tengah memiliki pimpinan cabang Muhammadiyah (PCM) dan pimpinan ranting muhammadiyah (PRM) yang aktif melakukan berbagai kegiatan kemuhammadiyahan. Anggota Muhammadiyah di wilayah tersebut tersebar diberbagai PRM dengan total anggota hampir seribu or...
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Stability of a Floating Fiber Levee Model on Coastal Areas in Response to Climate Change
This study aimed to analyze the stability and performance of a floating fiber levee model in response to hydrostatic pressure, shear forces, and overturning moments under three different water level scenarios. The methodology involved experimental testing in a laboratory using a floating fiber levee model placed in a water-filled test tank, as well as numerical simulations conducted with ANSYS software to analyze the structural behavior of the levee. The results showed that although there were m...
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Analisis Determinan Kejadian Anemia Zat Besi pada Balita Berdasarkan Telenursing Kalkulator Zat Besi di Padukuhan Kembangputihan
Vol 17
, No 02
(2026)
Latar Belakang: Anemia defisiensi besi pada balita masih menjadi masalah kesehatan masyarakat di Indonesia dengan prevalensi tinggi yang berdampak pada pertumbuhan, perkembangan, dan daya tahan tubuh anak. Pemanfaatan teknologi telenursing dan kalkulator zat besi berpotensi meningkatkan akses edukasi kesehatan serta membantu skrining risiko kekurangan zat besi secara dini. Tujuan: Menganalisis faktor yang memengaruhi kejadian anemia defisiensi besi pada balita menggunakan pendekatan teknologi te...
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Effect of Salt Bath and Oil Quenching Heat Treatments on SKT4 Forging Dies for Sustainable Undercarriage Link Production
Jatimurti, Wikan
; Muhadzdzib, Muhammad Zhafran
; Purniawan, Agung
; Sutarsis
; Wibisono, Alvian Toto
SKT4 steel, classified by the Japan Industrial Standard (JIS) as a hot-forming mold steel, is widely used for forging dies due to its favorable chemical composition and mechanical properties. During forging, dies are subjected to repeated impacts and high temperatures, which gradually reduce their performance and contribute to product defects. However, quantitative comparisons between salt bath and oil quenching treatments for SKT4 dies in high-cycle forging applications remain limited. This stu...
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