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SCIENCE TECH: Jurnal Ilmiah Ilmu Pengetahuan dan Teknologi
Published by Universitas Sarjanawiyata Tamansiswa
ISSN : 24606286     EISSN : 25793624     DOI : 10.30738/science tech.v2i1.396
Core Subject : Science, Agriculture, Engineering,
Agriculture, Biological Sciences & Forestry Chemistry Computer Science & IT Engineering Materials Science & Nanotechnology
Jurnal SCIENCE TECH adalah jurnal yang diterbitkan oleh Lembaga Penelitian dan Pengabdian kepada Masyarakat (LP2M) Universitas Sarjanawiyata Tamansiswa (UST) Yogyakarta. Jurnal ini diharapkan sebagai media bagi dosen, peneliti, praktisi, mahasiswa dan masyarakat luas yang memiliki perhatian terhadap bidang dan perkembangan ilnu pengetahuan dan teknologi. Jurnal SCIENCE TECH terbit dua kali setahun yaitu Januari dan Agustus, setiap terbit 8 artikel.
Arjuna Subject : Umum - Umum
Articles 6 Documents
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Search results for , issue "Vol 8 No 2 (2022): Agustus" : 6 Documents clear
Persepsi Mahasiswa Terhadap Penggunaan Schoology sebagai Asesmen Online di Kelas Bahasa Inggris Ida Megawati; Fauzan Aminudin; Endah Marwanti; Anni Nurul Hidayat; Ardian Arief; Abdul Rahim
Science Tech: Jurnal Ilmu Pengetahuan dan Teknologi Vol 8 No 2 (2022): Agustus
Publisher : Universitas Sarjanawiyata Tamansiswa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30738/st.vol8.no2.a12722

Abstract

This study aims to determine students' perception of the use of Schoology as an online assessment in the English classroom and the benefits of using Schoology. This study uses a mixed methods approach that combines qualitative and quantitative data. Collecting data using questionnaires and interviews. Questionnaires were used to determine student perceptions using a five-point Likert Scale. Formal interviews were randomly assigned to 10 students. Questionnaire data were processed with SPSS version 21 and then triangulated and analyzed. Meanwhile, to determine the criteria for Respondent Achievement Level using the formula used by the Arikunto concept. The results of this study indicate that students have positive perceptions about assessment in English class through Schoology. Students are interested in using online assessments because online assessments are better than paper assessments. Students are attracted to the Schoology application because of its flexibility and ease of use. However, some students also stated that the use of online assessments in Schoology also presented a negative perception. Students can face problems with internet access, large data, and difficulty in managing time to do tests.
Performansi Analisis Algoritma Koloni Semut (Ant Colony Optimization) dalam menyelesaikan permasalahan Capacitated Vehicle Routing Problem (CVRP) Izza Hasanul Muna
Science Tech: Jurnal Ilmu Pengetahuan dan Teknologi Vol 8 No 2 (2022): Agustus
Publisher : Universitas Sarjanawiyata Tamansiswa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30738/st.vol8.no2.a12737

Abstract

The ant colony algorithm (ACO) is an algorithm initially introduced by Moyson and Manderick and then developed by Marco Dorigo. This algorithm has been applied in various optimization problems, like in the Capacitated Vehicle Routing Problem (CVRP). The aim of this study was to investigate the performance of the ACO in solving CVRP. ACO will be measured based on 3 factors, memory usage, execution time and accuracy level. Moreover, identification of the effect of changing parameter on ACO performance was also carried out. The result shows that ACO has good performance in solving CVRP in all of 3 factors. However, the performance of ACO was influenced by several parameters. The findings in the study indicate that there are several ACO parameters that have a significant effect on ACO performance, there are the number of ants, ,  and . For the others, Q dan , both of them do not have significant effect on the performance of ACO in terms of time execution and memory usage. For parameter , it has significant effect on the result produced by ACO.
Identifikasi Citra Plasmodium Guna Mendeteksi Parasit Penyakit Malaria dengan Menggunakan Algorithm Convolutional Neural Network Theopilus Bayu
Science Tech: Jurnal Ilmu Pengetahuan dan Teknologi Vol 8 No 2 (2022): Agustus
Publisher : Universitas Sarjanawiyata Tamansiswa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30738/st.vol8.no2.a12796

Abstract

Malaria is a type of disease caused by protozoan cells called Plasmodium, in its development Plasmodium cells will enter and destroy red blood cells. Detection of malaria is difficult because it takes a long time. Malaria parasite can be identified using a microscope to see whether or not Plasmodium is present in red blood cells. However, this method is very dependent on the quality of the microscope. A computer vision model was developed using a CNN (convolutional neural network). The model was developed by comparing the architectures of the ResNet-101, AlexNet, and VGG-19 models by providing two learning rate scenarios, namely the minimum learning rate and the maximum learning rate with slices. The training process for each model uses 10 epochs. Fast.ai tools / libraries are used to form existing models. The results of a study entitled Plasmodium Image Classification To Detect Malaria Disease by using the CNN Algorithm found that the architecture of the ResNet-101 model has much better accuracy than the AlexNet and VGG-19 models, both by using a minimum learning rate and a maximum learning rate, the process of training in the ResNet-101 architecture model using the maximum learning rate with slice has the best accuracy of 0.97586% and precision of 0.98249% compared to the AlexNet and VGG-19 architectures.
Konstanta Salat Jamak 12 RMA dalam Matematika 472319 Hahslm di Era Ekonomi Covid R Mochamad A
Science Tech: Jurnal Ilmu Pengetahuan dan Teknologi Vol 8 No 2 (2022): Agustus
Publisher : Universitas Sarjanawiyata Tamansiswa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30738/st.vol8.no2.a13018

Abstract

The purpose of this study is to analyze the combination of four-digit numbers that relate to the Plural Prayer Constant of 12 RMA in Hahslm 472319. This research was conducted by literature studies from electronic media, books, journals, and other data sources. The methodology used constructive quantitative that refers to Quran with the equation of 47319 in Hahslm. The research results are combination numbers of four-digit by subtracting the decreasing left phrase to the increasing right phrase that will reach the number 6174 at the maximum of the seventh step. Mathematically, this sequence number has the same as the Plural Prayer Constants of 12 RMA and has a similarity to the 472319 formula. This 12 RMA constant is stored in the plural prayers 1 (Fajr) and 2 (Dhuhur Asr and Maghrib Isa). The number 19 is also encrypted in Covid which influences the economic crisis.
Prototipe Sistem Monitoring Pemakaian Air PDAM untuk Rumah Tangga Berbasis Aplikasi Android Anisa Eka Fajriaty; Prasetyo Yuliantoro; Muntaqo Alfin Amanaf; Nur Afifah Zen
Science Tech: Jurnal Ilmu Pengetahuan dan Teknologi Vol 8 No 2 (2022): Agustus
Publisher : Universitas Sarjanawiyata Tamansiswa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30738/st.vol8.no2.a13143

Abstract

Water is one of the most important elements in household life. Most households use PDAM services to meet their daily water needs. The use of water used for households is monitored by officers manually. This method causes various problems, namely errors in the recording by officers, errors in the process of input results, and ineffectiveness. One solution to overcome these problems is to design a monitoring system for PDAM water usage in real time. The design is made using NodeMCU as a microcontroller, Water Flow Sensor, RTC DS3231, 20X4 LCD, MIT App Inventor, and Firebase which will be displayed via LCD and Android application. The results showed that the designed tool can display data in the form of time, the volume of water, and cost with sensor accuracy of 98, 40%. In addition to these data, this study also produces QoS values, namely 0% packet loss, and 0,09 s delay.
Pengembangan Media Komik Berbasis Kearifan Lokal dalam Pembelajaran Tematik Terpadu Nur Ngazizah; Rosita Rahmawati; Dwi Lestari Oktaviani
Science Tech: Jurnal Ilmu Pengetahuan dan Teknologi Vol 8 No 2 (2022): Agustus
Publisher : Universitas Sarjanawiyata Tamansiswa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30738/st.vol8.no2.a13187

Abstract

The use of comics media as a support for learning activities with the background of learning activities that are less attractive to students so that students get bored quickly in the learning process. The purpose of this study is to develop comics as a learning medium, to determine the feasibility, to test the effectiveness of comics as teaching materials and to determine students' interest in using comics media. The subjects in this study were several teachers and students at SD Purworejo and the method of data collection was by the teachers and students filling out the questionnaire that had been given by the researcher. The results of the study indicate that the need for comics media is used as a learning medium.

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