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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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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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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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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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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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Community Empowerment Strategies for Optimizing The Three J Program (Jamaah, Jam’iyah and Jariyah) at The Muhammadiyah Regional Leadership of Sragen Regency
Muh. Nur Rochim Maksum
; Pangestu, Febri Bekti
; Kunny Habibah Ilmi
; Azka Musthofa
; Maryam Hanifah
; Mega Laela Akhiru Nahar
; Rizqi Hidayati
; Aulia Anugerah
Abdi Psikonomi
(2026)
The Three J Program (Jamaah, Jam’iyah, and Jariyah) represents a strategic initiative of the Muhammadiyah Regional Leadership of Sragen Regency to strengthen the role of religious organizations as agents of community empowerment. However, the implementation of this program has not yet been fully optimized due to limited congregational participation, weak organizational governance, and the predominance of consumptive approaches in jariyah management. This community service activity aims to formul...
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Increasing Quality and Competitiveness of Witpari Culinary MSMEs Through Modern Production and Digital Marketing
Murwanti, Sri
; Aditomo, Imam Riefly
; Zulaekah, Siti
; Faishal, Afif
; Ihsan, Fauzan Muhammad
; Haryoko, Heilin Alber Siva
Abdi Psikonomi
(2026)
Rural culinary MSMEs frequently face structural constraints in production efficiency, packaging standardization, and technological literacy, limiting their competitiveness in tourism-based markets. This community service program aimed to strengthen production capacity and hygienic packaging practices within the Witpari Culinary MSME Community in Kemuning Village, Karanganyar. The intervention provided two spinner oil-draining machines and five heat sealer units, supported by participatory techni...
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Pengaruh Jam Belajar dan Kehadiran terhadap Nilai Ujian Siswa Menggunakan Logistic Regression dan Decision Tree
Journal of Informatics Education
Vol 9
, No 1
(2026)
Perkembangan teknologi data memberikan peluang dalam menganalisis faktor-faktor yang memengaruhi performa akademik siswa secara lebih objektif dan berbasis data. Penelitian ini bertujuan untuk menganalisis pengaruh jam belajar dan tingkat kehadiran terhadap nilai ujian siswa di SMP Negeri 3 Sokaraja menggunakan pendekatan pembelajaran mesin terawasi, yaitu algoritma Logistic Regression dan Decision Tree. Dataset yang digunakan terdiri dari data siswa yang mencakup variabel Study_Hours, Attendanc...
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Analisis Sentimen Layanan Aplikasi Pendidikan Menggunakan Multinomial Naive Bayes
Journal of Informatics Education
Vol 9
, No 1
(2026)
The rapid development of educational technology has increased the use of e-learning applications such as Ruangguru, generating a large amount of user reviews on Google Play Store that can be utilized to evaluate service quality. This study aims to analyze the sentiment of Ruangguru user reviews using the Multinomial Naive Bayes algorithm. The research data consisted of 5,000 user reviews collected through web scraping techniques from Google Play Store. The data were processed through severa...
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