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All Journal Generation Journal Mekanisasi: Jurnal Teknik Mesin Pertanian Jurnal Polimesin
Rahmadanti, Rahmadanti
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Automotive Engineering Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering Materials Science & Nanotechnology Mechanical Engineering

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Pembuatan Alat Ukur Kekentalan Madu Lebah Trigona (Trigona Sp.) Berbasis Arduino dengan Metode Bola Jatuh Saputra, Daniel; Suhendra, Suhendra; Nopriandy, Feby; Rahmadanti, Rahmadanti
Mekanisasi : Jurnal Teknik Mesin Pertanian Vol 1 No 2 (2023): Oktober
Publisher : Pusat Penelitian dan Pengabdian Pada Masyarakat (PPPM), Politeknik Negeri Sambas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47767/mekanisasi.v1i2.734

Abstract

Kualitas madu sangat dipengaruhi oleh tingkat kekentalan madu. Semakin tinggi nilai kekentalan madu maka semakin baik kualitas madu tersebut. Nilai kekentalan madu dipengaruhi oleh kandungan air yang terdapat pada madu. Kadar air yang rendah membuat madu bisa bertahan lama karena tidak mudah terfermentasi dan sebaliknya. Upaya untuk mengatasi permasalahan ini, perlu dilakukan penelitian yang bertujuan merekayasa dan melakukan uji fungsional terhadap alat yang dapat mengukur tingkat kekentalan madu lebah Trigona. Metode yang diterapkan pada alat ukur adalah menggunakan metode bola jatuh dengan sensor cahaya. Tahapan pelaksanaan penelitian meliputi tahapan desain alat, pembuatan dan perakitan komponen, pembuatan program, kalibrasi, pengujian dan analisis data. Nilai kekentalan madu diperoleh dari perhitungan viskositas dinamik. Pembacaan kekentalan diperoleh ketika bola logam dijatuhkan dalam tabung berisi cairan yang diukur waktu tempuhnya dari titik awal ke titik akhir. Data tersebut akan dicatat melalui program Arduino uno dan ditampilkan pada LCD sebagai nilai kekentalan. Mikrokontroller yang digunakan adalah Arduino UNO R3 yang dibantu oleh dua sensor cahaya yang berjarak 120 mm sebagai pendeteksi bola logam yang jatuh. Hasil rata – rata pengukuran kekentalan madu menggunakan alat ukur kekentalan madu hasil rekayasa sebesar 0,28 Ns/m2 dengan rata-rata tingkat akurasi alat 82,35%.
Perbandingan Algoritma SVM dan SVM Berbasis Particle Swarm Optimization Pada Klasifikasi Beras Mekongga Emilia Ayu Wijayanti; Rahmadanti, Tania; Rahmadanti, Rahmadanti; Enri, Ultach
Generation Journal Vol 5 No 2 (2021): Generation Journal
Publisher : Universitas Nusantara PGRI Kediri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29407/gj.v5i2.16075

Abstract

Rice is the most important staple food in Indonesia. There are various types of varieties available, one of them is Inpari Mekongga variety. In Karawang, Mekongga rice type is the most popular and superior compared to others. However, this type of rice is often mixed with the other types because there are too many varieties and various other problems. Classifying varieties of rice types can be done to identify the types of rice. The classification of rice varieties in this research is divided into 2 classes, Mekongga and not Mekongga. The method that used in this reserach is Support Vector Machine (SVM) and Particle Swarm Optimatizon (PSO). SVM method was chosen because it basically handles the classification of two classes. Meanwhile, PSO method used to optimize the accuracy level of the SVM method. Combination from the two methods is very well used in classification data because it can increase the level of accuracy better. The purpose of this reserach is compare the accuracy of the 2 methods that used. The results from research is mekongga rice classification with Support Vector Machine has accuracy value 46.67% and AUC value 0.475. Meanwhile, using Support Vector Machine based on Particle Swarm Optimization (PSO) can help improve the classification of this mekongga rice with accuracy value 70.83% and AUC value 0.671.
Development of phenolic-modified activated carbon for reduced energy band gap and improved semiconductor performance Rahmadanti, Rahmadanti; Widodo, Agung Sugeng; Sulistyono, Sulistyono; Purnami, Purnami
Jurnal Polimesin Vol 23, No 6 (2025): December
Publisher : Politeknik Negeri Lhokseumawe

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30811/jpl.v23i6.8234

Abstract

This study aims to develop more efficient activated carbon-basedsemiconductor materials through modification with phenolic compounds to reduce the energy gap and increase adsorption capacity. Activated carbon was modified by adding phenolic compounds, then characterized using FTIR, UV-Vis, SEM, and EDS to analyze structural, morphological, and electronic changes. The UV-Vis characterization results showed that the AC 70 + F 30 sample experienced a wavelength shift towards the x-axis, which indicates a decrease in energy gap and is confirmed by Tauc plot analysis from 3.60 eV to 2.98 eV. SEM-EDS results revealed changes in pore morphology and a decrease in carbon content due to the interaction between activated carbon and phenolic compounds. These findings indicate that phenolic modification effectively reduces the energy gap and improved charge-transfer characteristics, thereby contributing to the development of more environmentally friendly and efficient activated carbon-based semiconductor materials.
Co-Authors Agung Sugeng Widodo Daniel Saputra Emilia Ayu Wijayanti Enri, Ultach Nopriandy, Feby Purnami Purnami Rahmadanti, Tania Suhendra Suhendra Sulistyono Sulistyono