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APLIKASI MEDIA PEMBELAJARAN ILMU PENGETAHUAN SOSIAL KELAS III SDN PUCUNG BERBASIS ANDROID Rizqi Sukma Kharisma; Fransiskus Paskalis
Jurnal Maklumatika Jurnal Maklumatika Vol.4 No.1 (2017)
Publisher : Program Studi Teknik Informatika Sekolah Tinggi Teknologi Informasi NIIT

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (794.196 KB)

Abstract

Metode pembelajaran yang digunakan saat ini masih seperti yang ada disekolahan pada umumnya, guru mengajar di dalam kelas dengan fasilitas papan tulis dan buku pelajaran. Sejauh ini metode tersebut masih terbilang efektif namun masih kurang maksimal, karena metode pembelajaran tersebut masih bisa ditingkatkan lagi dengan metode-metode yang lebih modern pada saat ini. Media pembelajaran dapat berupa aplikasi multimedia dan aplikasi Android. Untuk mengatasi permasalahan ini dilakukan pembuatan media pembelajaran interaktif berbasis Android untuk menunjang pembelajaran. Media pembelajaran ini nantinya akan mengacu pada kurikulum yang digunakan pada sekolah. Media pembelajaran ini juga akan didesain dengan simple tapi tetap menarik, pemaparan tentang materi-materi sesuai dengan kurikulum, serta ada soal-soal latihan agar siswa bisa belajar lebih maksimal. Selain dapat digunakan pada Android, aplikasi yang dibuat dapat digunakan pada komputer. Pembuatan media pembelajaran ini bertujuan untuk meningkatkan efektifitas dalam pembelajaran, oleh karena itu kita diharapkan untuk dapat memanfaatkan perkembangan teknologi dengan sebaik-baiknya sehingga menjadi sesuatu yang bermanfaat baik bagi diri sendiri maupun bagi orang lain.
Analysis Spatial Pattern Garbage Bank using Web Geographic Information System in Yogyakarta City Vidyana Arsanti; Rizqi Sukma Kharisma; Sidiq Arfianto
Advance Sustainable Science Engineering and Technology Vol 5, No 1 (2023): November-April
Publisher : Universitas PGRI Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26877/asset.v5i1.15139

Abstract

Minimizing waste with independent waste management realizes the 3-R principle, one of which is the waste bank program. There are 448 waste banks in the entire city of Yogyakarta, which is about 73% of the total RW in the city of Yogyakarta. However, from this data, the visual form of the spatial distribution of waste banks in Yogyakarta City has yet to be discovered with certainty. This quantitative research analyzes the distribution pattern of waste banks in Yogyakarta City using the Nearest Neighbor Analysis method. The objectives of this study are (1) to determine the visual form of the spatial distribution of waste banks in the city of Yogyakarta; (2) to analyze the distribution pattern of waste banks in the city of Yogyakarta. The results are (1) The visual form of the spatial distribution of waste banks in Yogyakarta City is spread in almost all areas of Yogyakarta City, with an area of 32.5 km2. Waste Banks that have been plotted locations are 448 waste banks; (2) The distribution pattern of the waste bank in the city of Yogyakarta is dispersed or uniform/regular distribution pattern.
Optimizing Electrical Efficiency and Thermal Performance of AMD Ryzen 3 2200G Processor through Undervolting in Synthetic Benchmarks and Gaming Scenarios Rizqi Sukma Kharisma; Ibnu Herlambang Wicaksono
Advance Sustainable Science Engineering and Technology Vol 5, No 3 (2023): August-October
Publisher : Universitas PGRI Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26877/asset.v5i3.16869

Abstract

Undervolt is a term that refers to a way to make a computer device run on lower electrical power than the manufacturer's provisions. To do undervolting requires a good experience for user and computer devices that are good or specialized for undervolt purposes such as processors. This study aims to find the optimal minimum voltage that the processor can use without causing performance degradation or instability, and temperature drops that the processor produces while it is running. In this study, the author tested a processor device with the type of AMD Ryzen that already supports the undervolting process from the factory. AMD Ryzen 3 2200G processor is one of the processors with 14nm fabrication, where this processor promises significant performance with the number of cores, memory chace capacity, and power efficiency. On this day, many games demand the use of an aggressive processor. Of course, this will consume power on a larger processor. The author conducted several test scenarios to get the best performance. It was found that the scenario with undervolt at 1.25V showed the best performance.
Spatial Analysis of Waste Management Facility Distribution Using GIS Vidyana Arsanti; Rizqi Sukma Kharisma; Ivan Ardiansyah; Bayu Nugroho; Muhammad Ihsan Fajruna; Luthfia Zahra Deswanti; Muhammad Fais Al Qori
Advance Sustainable Science Engineering and Technology Vol. 6 No. 4 (2024): August-October
Publisher : Science and Technology Research Centre Universitas PGRI Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26877/asset.v6i4.996

Abstract

Recently, waste has become an extraordinary phenomenon that has attracted the attention of all levels of society: authorities, local governments, environmentalists, and regional stakeholders at the village level. Based on DIY Regional Regulation No. 3 of 2013 concerning the Management of Household Waste and Waste Similar to Household Waste and Sleman Regency Regional Regulation No. 6 of 2023 concerning the Implementation of Waste Management, efforts to minimize the amount of waste are made by each waste bank collaborating with TPS3R in Sleman Regency. Based on temporary data from 178 waste banks, there are 97 active waste banks and 32 TPS3R in Sleman Regency. The objectives of this study are (1) To determine the distribution pattern of active waste banks in Sleman Regency and (2) To determine the accessibility of active waste banks to TPS3R locations. This study uses the nearest neighbour analysis method, and the accessibility of active waste bank locations to TPS3R locations is measured using the buffering method—data processing using a Geographic Information System (GIS). The results of this study indicate (1) the distribution pattern of active waste banks in Sleman Regency based on the nearest neighbour ratio value is 0.861485 (<1), indicating a spatial pattern that tends to be clustered or spread in groups; (2) the accessibility of active waste banks to the TPS3R location has not shown an even pattern, from 32 TPS3R only 10 TPS3R have two waste banks, the rest 0 - 8 waste banks. The buffering distance shows that the closer the two locations are, the more effective and efficient waste management will be, with a maximum accessibility distance of 4.1 km.