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Implementasi Sistem Penghitung Kendaraan Otomatis Berbasis Computer Vision Indra, Dolly; Herman, Herman; Budi, Firman Shantya
Komputika : Jurnal Sistem Komputer Vol 12 No 1 (2023): Komputika: Jurnal Sistem Komputer
Publisher : Computer Engineering Departement, Universitas Komputer Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34010/komputika.v12i1.9082

Abstract

The development of computer technology today is very helpful for humans in completing their work in various fields. One application of computer technology i.e., in the field of computer vision which has a very important role for object recognition. In this study, we designed a computer vision-based automatic vehicle counting system. The system that we created uses the MobileNetV2 Single Shot Multibox Detector (SSD) which is placed on the Raspberry Pi 4 to carry out the process of classifying cars and motorcycles and the raspberry pi 4 also functions as a system controller. This automatic vehicle counter system has been integrated between Raspberry Pi 4 and a mobile application on a smartphone where the smartphone functions to display information such as day, date, month, year and together with the number of cars and motorcycles. We tested this automatic vehicle counting system on steam services (car and motorcycle washing) for 3 days where 10 vehicles were collected every day. The test results show that the system is capable of detecting cars and motorcyles with an average accuracy rate of 46.6%. Keywords – Vehicle Detection, SSD-MobileNet V2, Computer Vision, Raspberry Pi, Smartphone
Scientific literacy on peatland across various study programs, genders, and current domicile of University Students in Borneo Sidauruk, Suandi; Ni'mah, Fatchiyatun; Meiliawati, Ruli; Analita, Rizki Nur; Rahmadani, Agung; Budi, Firman Shantya; Adhani, Aidhil
Journal of Education and Learning (EduLearn) Vol 19, No 1: February 2025
Publisher : Intelektual Pustaka Media Utama

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/edulearn.v19i1.21794

Abstract

Scientific literacy is the ability that students must have to analyze and apply science concepts in solving everyday life problems. Students’ scientific literacy on peatlands can be acquired by students from daily interaction with peatlands, understanding that comes from parents and the community, as well as from learning in the classroom. This study aims to analyze the scientific literacy skills of students from several campuses in Borneo on the topic of peatlands. In this study, scientific literacy is described into scientific knowledge and scientific competencies domain. The research was conducted using a survey method with 528 respondents from several universities in Borneo, Indonesia. Research results show that even half of the respondents live around the peatland area, students’ scientific literacy is in the low category. The students’ scientific competencies need serious attention. A proper learning resources and comprehensive learning is needed to improve student overall scientific literacy.
PENGEMBANGAN METODE PENENTUAN NITRIT DAN NITRAT DALAM DAGING SEGAR DAN PRODUK DAGING OLAHAN SECARA SPEKTROFOTOMETRI UV-VIS Budi, Firman Shantya; Havizul, Havizul
ILTEK : Jurnal Teknologi Vol. 17 No. 02 (2022): ILTEK : Jurnal Teknologi
Publisher : Fakultas Teknik Universitas Islam Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47398/iltek.v17i02.21

Abstract

Validasi metode analisis nitrit dan nitrat dalam daging segar dan produk daging olahan secara spektrofotometri UV-Vis dengan pereaksi sulfanilamida dan N-naftiletilendiamina (NEDA) telah dilakukan. Tujuan dari penelitian ini adalah untuk mendapatkan metode analisis nitrit dan nitrat pada kondisi optimum yang memenuhi parameter. Nitrat direduksi menjadi nitrit menggunakan reduktor serbuk Zn. Optimasi metode analisis dilakukan sebelum validasi. Tahap selanjutnya metode divalidasi dengan pendekatan spiking buta nol berdasarkan parameter validasi meliputi linieritas, sensitivitas, batas deteksi, batas kuantifikasi, ketelitian dan ketepatan. Metode diaplikasikan untuk penentuan nitrit dan nitrat dalam daging segar dan produk daging olahan (sosis, daging asap dan kornet). Absorbansi senyawa azo mencapai optimum pada panjang gelombang 541 nm. Sementara itu, hasil validasi menunjukkan linieritas standar nitrit pada rentang 0,1 – 0,8 mg/L (R2= 0,9995) dengan absorptivitas molar sebesar 5,37 104 L mol-1 cm-1. Batas deteksi dan kuantifikasi masing-masing sebesar 0,021 dan 0,063 mg/L dengan %RSD analisis nitrit dan nitrat masing-masing sebesar 0,56 dan 1,73%. Persentase perolehan kembali analisis nitrit dan nitrat masing-masing antara 85 – 99% dan 82 – 100%. Konsentrasi nitrit dan nitrat yang ditentukan dalam daging masing-masing antara 0,60 – 14,79 mg/kg dan 0,68 – 8,39 mg/kg. Hasil tersebut menginformasikan bahwa nitrit dan nitrat yang ada dalam sampel berasal dari proses eksogen dan endogen.
Formulasi Krim Bibir dengan Ekstrak Antosianin dari Bunga Telang (Clitoria ternatea) sebagai Pewarna Alami Aprilia, Jelita; Rahmalia, Winda; Budi, Firman Shantya
Jurnal Ilmiah Farmasi Vol. 21 No. 2 (2025): Jurnal Ilmiah Farmasi
Publisher : Universitas Islam Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20885/jif.vol21.iss2.art4

Abstract

Background: Butterfly pea (Clitoria ternatea) is a tropical plant rich in anthocyanins, particularly from the flavonoid group, which has potential as a natural dye and antioxidant in cosmetic formulations.Objective: This study aims to investigate the phytochemical characteristics of anthocyanin extract from butterfly pea flowers and the physical and chemical stability of lip cream formulated with the extract.Method: Anthocyanin extract from butterfly pea flowers was formulated into a lip cream base at concentrations of 0, 2, 4, and 6%, followed by a physical stability test conducted over a period of one month on days 0, 7, 14, 21, and 28. The results were then compared with established standards.Results: The anthocyanin extract of butterfly pea flower contains flavonoids, saponins, tannins, and terpenoids. Four lip cream formulations prepared with varying concentrations of the extract exhibited a thick texture, a grape-like aroma, and colors ranging from ivory to purple. The formulations had viscosities between 5,500 and 13,000 cP, adhesion times ranging from 7.10 to 26.8 seconds, and spreadability values between 5 and 7.5 cm.Conclusion: All stability tests of the butterfly pea flower extract lip cream formulations met the required criteria, except for the homogeneity test. Formulation 1 (2%) was identified as the most optimal. All stability tests for the butterfly pea flower extract lip cream formulations met the required criteria, except for the homogeneity test. Formulation 1 was identified as the most optimal, containing 2% extract concentration.