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EFFECT OF VARIATION FORM (QUADRILATERAL AND HEXAGON), PARTICLE SIZE AND PRESSURE ON THE CHARACTERISTICS OF BURNING CHARCOAL WOOD WASTE BRIQUETTES ALABAN AND RICE HUSK Akhmad Syarief; A’yan Sabitah; Luqmanul Hakim; Fadliyanur Fadliyanur; Dhanu Suryanta Suryanta; Defrihans Galang P; Hansen Rivaldo Napitulu; Aulia Aufa Ramadhasari; Ichwan Noor Ardiyat
Scientific Journal of Mechanical Engineering Kinematika Vol 6 No 1 (2021): SJME Kinematika Juni 2021
Publisher : Mechanical Engineering Department, Faculty of Engineering, Universitas Lambung Mangkurat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20527/sjmekinematika.v6i1.187

Abstract

Briquettes have been researched and developed as a substitute for solid fuels such as wood. One of them is briquettes made from processing waste such as sawdust, rice husks and even industrial waste. In this journal research, researchers are interested in knowing the characteristics of burning briquettes made from rice husk mixed with alaban wood charcoal waste which includes initial ignition, combustion rate and combustion temperature. The briquette samples used were varied in the form of rectangular and hexagonal shapes, mesh 20 and mesh 40 and the briquette printing pressure of 50 kg/cm2 and 100 kg/cm2. The results showed that the highest temperature for rectangular briquettes with a mesh of 40 and a compressive strength of 50 kg/cm2 was 412ºC and the lowest for rectangular briquettes with a mesh of 20 and a compressive strength of 100 kg/cm2. 333.33 ºC. Pressure strength affects the ignition speed, the faster the initial ignition and the longer the combustion rate due to the presence of air voids and the high moulding pressure affects the duration of the combustion process.
PENGARUH ALKALISASI HYBRID COMPOSITE BULU ITIK ALABIO DAN SERAT PURUN TIKUS TRHADAP KEAUSAN DAN KEKERASAN Akhmad Syarief; Dadang Aling Setiawan; Fadliyanur Fadliyanur
Scientific Journal of Mechanical Engineering Kinematika Vol 9 No 2 (2024): SJME Kinematika Desember 2024
Publisher : Mechanical Engineering Department, Faculty of Engineering, Universitas Lambung Mangkurat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20527/sjmekinematika.v9i2.294

Abstract

South Kalimantan Province is the habitat for a type of plant known as Purun Tikus. This plant is traditionally used for handicrafts and serves as a habitat for Alabio ducks. Sodium hydroxide (NaOH) is an alkaline chemical compound that effectively removes and cleans residues in fibers. Therefore, this study investigates the composite materials reinforced with duck hair and Purun Tikus using an immersion alkalization method with NaOH. The objective of this research is to determine the effects of alkalization on a hybrid mixture of duck hair and Purun Tikus with a polyester matrix on wear and hardness properties, and to examine the influence of voids on perforated pores. The wear test was performed according to ASTM G99-04, and the hardness test followed the ASTM D-785 standard. Samples were prepared using the hand lay-up method with a composition of 78% polyester, 2% catalyst, and 20% reinforcement with a volume ratio of (10%:90%). The alkalization treatment times were set at 10, 20, 30, 40, 50, and 60 minutes using a 5% NaOH solution. The results indicated that the highest wear value was observed at the 10-minute alkalization time, while the lowest wear value was noted at the 60-minute alkalization time. Conversely, the highest hardness value was obtained at the 60-minute alkalization time, and the lowest at the 10-minute alkalization time. Therefore, alkalization time significantly affects the wear, hardness, and void properties of the composite materials.
Indonesian Hate Speech Detection under Class Imbalance Using a Soft-Voting Ensemble of IndoBERTweet and IndoRoBERTa Muhammad Alkaff; Eka Setya Wijaya; Fadliyanur Fadliyanur; Muhammad Bahit; Sinar Nadhif Ilyasa
Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Vol 10 No 3 (2026): Juni 2026
Publisher : Ikatan Ahli Informatika Indonesia (IAII)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29207/resti.v10i3.7681

Abstract

Hate speech detection on Indonesian social media remains challenging due to the coexistence of formal and highly colloquial language, as well as the moderate class imbalance typical of real-world datasets. Models trained under these conditions often skew toward the majority class and generalize poorly across linguistic registers. This study investigates whether a simple, training-free model-level ensemble can improve Indonesian hate speech detection under such conditions without resampling the data. IndoBERTweet and IndoRoBERTa, pretrained respectively on informal Twitter text and broader formal corpora, serve as complementary base models, and their class probabilities are combined through equal-weight soft voting. On the Indonesian Hate Speech Superset (N = 14,306), evaluated across five random seeds with paired significance testing, the soft-voting ensemble attains a macro-averaged F1 of 0.898 ± 0.003 and a macro recall of 0.899 ± 0.003. It significantly outperforms a TF-IDF SVM baseline and the IndoRoBERTa base model, while showing no significant difference from the stronger IndoBERTweet base model and a trained logistic-regression stacking ensemble. Notably, the ensemble matches the stacking ensemble without any additional training stage or meta-learner, and a calibration analysis shows it improves probability calibration over both base models. These results indicate that equal-weight probability averaging is a simple, reproducible, and competitive strategy for Indonesian hate speech detection under moderate class imbalance.