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Rancang Bangun Seleksi Kendaraan Sederhana menggunakan Sensor HC-SR04 Nissa Sukmawati
SAINTIFIK Vol 6 No 1 (2020): Jurnal Saintifik: Jurnal Matematika, Sains, dan Pembelajarannya
Publisher : Universitas Sulawesi Barat

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (349.228 KB) | DOI: 10.31605/saintifik.v6i1.248

Abstract

Penelitian ini bertujuan untuk merancang sistem seleksi kendaraan sederhana berdasarkan ketinggian dan panjang kendaraan menggunakan sensor HC-SR04 dengan mikrokontroler arduino UNO. Sistem ini terdiri dari sensor ultrasonik HC-SR04 yang memancarkan gelombang ultrasonic kemudian diterima oleh receiver lalu diolah menjadi sebuah data berupa ketinggian dan panjang untuk menentukan golongan kendaraan. Metode penelitian ini dilakukan dengan mengukur ketinggian dan panjang kendaraan yang melewati sensor sehingga golongan kendaraan dapat ditentukan. Penelitian terbatas pada kendaraan box golongan III, IV, dan V.
Heavy metal contamination of Batanghari River, Jambi, Indonesia: determination based on sediment enrichment factor value Badariah Badariah; Nisa Sukmawati; Sarah Fiebrina Heraningsih; Rainiyati Rainiyati; Ahmad Riduan; Riski Dwimalida Putri
Journal of Degraded and Mining Lands Management Vol 10, No 4 (2023)
Publisher : Brawijaya University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15243/jdmlm.2023.104.4761

Abstract

Batanghari River is the primary source of water for the people of Jambi. Batanghari River’s condition nowadays is worrying because its color is no longer clear. This research focused on determining the content of heavy metals in the Batanghari River's water and sediment. The conducted analysis is an ICP-MS analysis to determine the level of heavy metal (Cu, Cr, Co, Cd, Hg), and an enrichment factor calculation is conducted to determine the source of pollution. The enrichment factor value from the Batanghari River sediment sample declined with the following sequence Cd>Hg>Cu>Cr>Co, in 10 pinpoint locations. These indicate a high degree of anthropogenic activities along the Batanghari River which become the source of heavy metals entering the Batanghari River. The average concentration of heavy metals in the Batanghari River showed that the metal concentrations of Cd, Cu, and Hg are higher than the quality standards that have been set, whereas the metal concentrations of Cr and Co are still by the quality standards that have been set in PP 22 the year 2021.
OPTIMIZING THE CARBONIZATION TEMPERATURE OF WATER HYACINTH BIOCHAR BY PROXIMATE ANALYSIS USING RESPONSE SURFACE METHODOLOGY Maulina, Wenny; Habibah, Putri Sifa; Arkundato, Artoto; Syarifah, Ratna Dewi; Sulistiyo, Yudi Aris; Sukmawati, Nissa
Indonesian Physical Review Vol. 8 No. 1 (2025)
Publisher : Universitas Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/ipr.v8i1.405

Abstract

Water hyacinth is a locally available biomass with the potential to be converted into biochar, serving as a renewable energy source. In this report, response surface methodology (RSM) was employed to optimize the carbonization temperature during the preparation of water hyacinth biochar. Water hyacinth was carbonized in a furnace at varied temperatures (400 °C, 500 °C, 600 °C) for 90 minutes. Characterization of the biochar derived from water hyacinth by proximate analysis was determined, including moisture content, ash content, volatile matter, fixed carbon, and calorific value. The results of the biochar before optimization indicated that moisture content and volatile matter decreased with increasing carbonization temperature, while ash content, fixed carbon, and calorific value increased. After optimization, the proximate analysis of the biochar was determined, with the optimal carbonization temperature found to be 533.54 °C. At this temperature, the optimal moisture content was 6.50%, ash content was 25.53%, volatile matter was 24.80%, and fixed carbon was 43,16%. These findings demonstrate the feasibility of using RSM to optimize the preparation conditions of water hyacinth biochar.
EFFECTIVENESS OF SPECIES, THICKNESS, AND AGE OF LEAVES ON THE PERFORMANCE OF ORNAMENTAL PALM FIBER AS A CARBON MONOXIDE BIOFILTER IN FOREST FIRE SMOKE Eva Gusmira; Nissa Sukmawati; Reni Kartika; Habibillah Alva Putra
Jurnal Neutrino:Jurnal Fisika dan Aplikasinya Vol 18, No 2 (2026): APRIL
Publisher : Universitas Islam Negeri Maulana Malik Ibrahim Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18860/neu.v18i2.40085

Abstract

Carbon monoxide (CO) emitted from forest fire smoke requires low-cost and environmentally friendly filtration methods. This study evaluated the effects of palm species, filter thickness, and leaf age on the performance of ornamental palm leaf fiber biofilters for CO reduction. Three palm species Veitchia merrillii, Wodyetia bifurcata, and Cyrtostachys renda were tested using mature and young leaves. Palm leaf fibers were processed into filter sheets with thicknesses of 0.3, 0.5, and 0.7 mm. CO concentrations were measured before and after filtration, and filter effectiveness was calculated as the percentage reduction in CO concentration. Pore-size distribution was analyzed using a trinocular microscope and Examet software. The highest effectiveness for mature leaves was obtained from Wodyetia bifurcata at 0.5 mm thickness, with a CO reduction of 49.11%, whereas the highest effectiveness for young leaves was obtained from Veitchia merrillii at 0.7 mm thickness, with a CO reduction of 57.39%. Increasing filter thickness did not produce a uniform response; the effect varied depending on palm species and leaf age. These findings indicate the preliminary potential of ornamental palm leaf fibers as low-cost, biomass-based filter materials for laboratory-scale CO reduction. The novelty of this study lies in evaluating processed ornamental palm leaf fibers as CO biofilter media by comparing palm species, leaf age, and filter thickness. However, this study was limited by the absence of replicated measurements, adsorption-capacity testing, airflow-resistance measurement, and long-term durability evaluation.
Model Rekayasa Banjir Jambi Menggunakan Weighted Product dan Sistem Dinamis Eva Gusmira; Nissa Sukmawati; Reni Kartika; Habibillah Alva Putra
Jurnal Ilmu Lingkungan Vol 23, No 6 (2025): November 2025
Publisher : School of Postgraduate Studies, Diponegoro Univer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/jil.23.6.1583-1591

Abstract

Hampir setiap tahun bencana banjir selalu dihadapi oleh Kota Jambi. Banyak faktor yang dapat menjadi pemicu bencana ini, baik dari faktor alam maupun ulah manusia. Penelitian ini bertujuan untuk mengembangkan model rekayasa banjir untuk meningkatkan kesiapan dan mitigasi di Kota Jambi. Metode penelitian sains terapan dalam pengembangan digunakan dalam penelitian ini dengan teknik pengumpulan data studi literatur, dokumentasi dan survey lapangan. Daerah penelitian dalam pengambilan data adalah Kota Jambi yang terdiri dari 11 Kecamatan. Pengambilan data sampel penelitian dilakukan di satu titik kelurahan di setiap kecamatan yang mempunyai sejarah kejadian banjir. Analisa data menggunakan Metode Weighted Product (WP) dalam menetapkan daerah yang berpotensi terkena banjir dan rekayasa kejadian banjir untuk 10 tahun ke depan menggunakan model sistem dinamis. Analisis metode WP menemukan 4 Kecamatan di Kota Jambi termasuk daerah sangat rawan banjir, 4 daerah rawan, dan 3 daerah aman dari bencana banjir. Hasil simulasi WP dengan penegakan kebijakan rekayasa dalam memitigasi terjadinya banjir dalam 10 tahun ke depan dilihat dari jumlah penduduk terdampak, rasio banjir dan kerugian yang diakibatkan banjir berkurang dibandingkan dengan kondisi saat ini. Hasil ini mengindikasikan bahwa banjir dapat ditanggulangi dengan melakukan perbaikan infrastuktur sistem drainase dan menerapkan kebijakan lingkungan dengan tertib. Daerah terdampak yang dihasilkan dari simulasi dapat menjadi rujukan pemerintah dalam menetapkan prioritas mitigasi bencana.