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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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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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Dynamic Chaotic–Adversarial Framework for High-Capacity and Imperceptible Image Steganography
Sari, Wellia Shinta
; Sari, Christy Atika
; Setiyani, Safira Hasna
; Triyono, Agus
; Ali, Rabei Raad
The rapid growth of digital communication has intensified concerns regarding data confidentiality as sensitive information transmitted through multimedia images is increasingly vulnerable to interception and unauthorized analysis. Conventional image steganography methods often struggle to simultaneously achieve high embedding capacity, strong imperceptibility, and resistance to modern steganalysis. To address this challenge, this study proposes a steganographic framework that integrates dynamic...
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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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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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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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OPTIMALISASI SISTEM APLIKASI RESERVASI TIGA SERANGKAI SMART OFFICE (TSSO) MENGGUNAKAN BLACK-BOX TESTING DAN PANDUAN PENGGUNAAN
Abdi Teknoyasa
(2026)
PT Tiga Serangkai Pustaka Mandiri merupakan perusahaan penerbitan percetakan nasional dengan mobilitas operasional serta intensitas penggunaan ruang yang tinggi. Pengaturan fasilitas secara manual berpotensi menimbulkan tumpang tindih jadwal peminjaman. Penelitian ini bertujuan untuk mengoptimalkan sistem informasi reservasi ruangan bernama Reservasi TSSO melalui penjaminan kualitas fungsionalitas sistem dan penyusunan dokumentasi teknis pendukung. Metode yang digunakan dalam penelitian ini meli...
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Pengaruh Pijat Bayi terhadap Kualitas Tidur dan Durasi Menyusu pada Bayi di Rumah Sakit Islam Sultan Hadlirin Jepara
Vol 17
, No 02
(2026)
Durasi menyusu yang adekuat pada bayi usia 0–7 hari berperan penting dalam pemenuhan asupan kolostrum, stimulasi produksi air susu ibu (ASI), serta mendukung pertumbuhan dan adaptasi awal bayi. Salah satu stimulasi yang diduga dapat meningkatkan durasi menyusu dan kualitas tidur bayi adalah pijat bayi.Penelitian ini bertujuan untuk menganalisis pengaruh pijat bayi terhadap durasi menyusu dan kualitas tidur bayi di Rumah Sakit Islam Sultan Hadlirin Jepara. Penelitian ini merupakan penelitian kuan...
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