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Tradisi Nyadran Saat Pandemi Covid 19 Di Desa Tegalan Dk X Pedak, Kelurahan Trimurti, Kecamatan Srandakan, Kabupaten Bantul Umi Sa'adah
Jurnal Dinamika Sosial Budaya Vol 24, No 1 (2022): Juni (2022)
Publisher : Universitas Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26623/jdsb.v24i1.3479

Abstract

This research was conducted to find out the nyadran tradition during the COVID-19 pandemic in Tegalan Village Dk X Pedak, Trimurti Village, Srandakan District, Bantul Regency. This research used a descriptive qualitative approach using a single embedded case study type of research. Sources of data obtained from sources and documentation.  The sampling technique was taken by purposive sampling technique.  Collecting data using interviews and documentation to find the validity of the data using source triangulation and method triangulation.  The data analysis technique uses an interactive analysis model. Based on the results of the study, it can be concluded that the nyadran tradition in Tegalan Village Dk X Pedak is a hereditary culture from ancient times which is a Javanese culture that is still preserved.  This tradition is important, this tradition is used to honor the ancestors as well as a form of gratitude and forgiveness for the ancestors.  Nyadran comes from the Hindu-Buddhist tradition.  Since the 15th century the Walisongo combined this tradition with their da'wah, so that Islam could be easily accepted.  Activities carried out by the community in the village of Tegalan Dk X Pedak are usually the day before the implementation of the nyadran tradition, the villagers work together to clean the graves and the tomb environment.  Then in the evening held muqodaman (recitation of the Qur'an 30 Juz) and recitation and remembrance of tahlil sending prayers for the ancestors.  On the day of the event, a ritual prior to the COVID-19 pandemic was held by making offerings, the village residents gathered on the terrace of the tomb.  The offerings and thanksgiving feasts are contained and each umbarampe used has its own philosophical meaning.  This nyadran tradition has many cultural and educational values so it needs to be preserved so that it does not become extinct and the younger generation can continue it. ABSTRAK Penelitian ini dilakukan untuk mengetahui tradisi nyadran pada saat pandemi covid 19 di Desa Tegalan Dk X Pedak. Penellitian ini menggunakan pendekatan deskriptif kualitatif, jenis penelitian studi kasus tungal terpancang. Sumber data diperoleh dari narasumber dan dokumentasi. Teknik sampling diambil dengan Teknik purposive sampling. Pengumpulan data menggunakan wawancara dan dokumentasi untuk mencari validitas data menggunakan trianggulasi sumber dan trianggulasi metode. Teknik analisis data menggunakan model analisis interaktif. Berdasarkan hasil penelitian disimpulkan bahwa tradisi nyadran di Desa Tegalan Dk X Pedak merupakan budaya turun-temurun dari zaman dahulu. Tradisi ini digunakan untuk menghormati leluhur, wujud syukur dan permohonan ampun untuk leluhur. Sejak abad ke-15 Walisongo menggabungkan tradisi dengan dakwahnya, agar agama Islam dapat mudah diterima. Aktivitas masyarakat Desa Tegalan sehari sebelum pelaksanaan tradisi nyadran warga desa bergotong-royong membersihkan makam. Malam harinya diadakan muqodaman (pembacaan Al-Quran 30 Juz), pengajian, dzikir tahlil, doa untuk leluhur. Pada hari acara sebelum adanya pandemi covid 19 diadakan dengan membuat sesaji, keduri warga desa berkumpul di teras makam.. Tradisi nyadran ini terdapat nilai budaya maupun Pendidikan sehingga perlu dilestarikan.
TIMATCHER - Platform Pembagian Kelompok Ideal Menggunakan Parameter Softskill Dan Hardskill Berbasis Website Mega Putri Rahmawati Darta; Yusma Rohmatus Sholikha; Kevin Juliandito Suhartono; Wahyu Puji Ramadhan; Veha Ramadhan Desendaya; Andhik Ampuh Yunanto; Desy Intan Permatasari; Umi Sa'adah; Nailussa'ada Nailussa'ada
Indonesian Journal on Software Engineering (IJSE) Vol 8, No 1 (2022): IJSE 2022
Publisher : Universitas Bina Sarana Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31294/ijse.v8i1.11783

Abstract

Abstrak Dewasa ini, kebutuhan manusia akan teknologi untuk meringankan pekerjaan semakin bertambah karena dengan semakin berkembangnya teknologi, maka akan mempermudah segala aktivitas kehidupan manusia salah satunya dalam pembagian kelompok. Pembagian kelompok selama ini dilakukan dilakukan secara acak, mandiri, dan dibagi berdasar nomor urut yang tidak mempertimbangkan parameter apapun sehingga menimbulkan kesenjangan, yaitu kemampuan kelompok satu dengan yang lain berbeda karena terdapat kemungkinan adanya kelompok super power yang berisi orang-orang paling pintar dalam kelas. Pembagian kelompok akan lebih efektif dan efisien dengan memaksimalkan penggunaan teknologi, yaitu melalui pemanfaatan sistem pembagian kelompok yang adil secara otomatis bernama TiMatcher dengan soft skill dan hardskill sebagai parameternya. Parameter soft skill diambil dari hasil tes MBTI dari setiap siswa/mahasiswa. Dari tes tersebut, didapatkan kode atau kersey yang digunakan sebagai dasar pembagian. Parameter hard skill ditentukan melalui hasil inputan tes hard skill yang telah dilakukan oleh siswa/mahasiswa. Tes hard skill tersebut dibuat oleh dosen/guru yang berisikan materi terkait. Dengan adanya TiMatcher, dosen dan mahasiswa dapat lebih dimudahkan dalam urusan pembagian kelompok ideal melalui pemanfaatan teknologi dengan sistem parameter hard skill dan soft skill. Prosentase hasil nilai fungsionalitas aplikasi TiMatcher sebesar 100% sesuai dengan kebutuhan user. Serta nilai keseluruhan aplikasi didapatkan rata-rata 73 dari range 0-100. Hal ini menunjukkan TiMatcher dapat melakukan pembagian kelompok lebih merata sehingga dapat mengurangi permasalahan kesenjangan pada kelompok.           Kata kunci: Pembagian kelompok, teknologi web, soft skill, hard skill Abstract Today, the human need for technology to relieve work is increasing because with the development of technology, it will facilitate all activities of human life, one of which is in the division of groups. Group division has been done randomly, independently, and divided based on sequence numbers that do not consider any parameters so as to cause gaps, namely the ability of groups with each other is different because there is a possibility of a super power group containing the smartest people in the class. Group division will be more effective and efficient by maximizing the use of technology, namely through the use of a fair group division system automatically called TiMatcher with soft skill and hard skill as its parameters. Soft skill parameter is taken from the MBTI test results of each students/college students. From the test, a code or kersey is obtained that is used as the basis for division. Hard skill parameter is determined through the results of input of hard skill tests that have been conducted by students/college students. The hard skill test is made by the lecturer/teacher which contains related materials. With TiMatcher, lecturers and students can be further facilitated in the affairs of ideal group division through the use of technology with hard skill and soft skill parameter systems. The percentage of the TiMatcher application functionality value is 100% according to user needs. And the overall value of the application obtained an average of 73 from the range 0-100. This shows that TiMatcher can divide groups more evenly so that it can reduce the problem of inequality in groups.Keywords: Group division, web technology, soft skill, hard skill
SPATIAL ANALYSIS OF QUANTITATIVE PRECIPITATION FORECAST ACCURACY BASED ON STRUCTURE AMPLITUDE LOCATION (SAL) TECHNIQUE Abdullah Ali; Achmad Rifani; Supriatna Supriatna; Yunus Subagyo Swarinoto; Umi Sa'adah
International Journal of Remote Sensing and Earth Sciences (IJReSES) Vol 20, No 2 (2023)
Publisher : Ikatan Geografi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30536/j.ijreses.2023.v20.a3854

Abstract

Quantitative Precipitation Forecast (QPF) is the final product of a short-term forecasting algorithm (nowcasting) based on weather radar data which is widely used in hydrometeorological aspects. The calculation of the accuracy value using point data on a rainfall gauge often causes a double penalty problem because the QPF prediction results are in the form of spatial objects. This study aims to apply object-based spatial verification in analyzing the accuracy of QPF based on the Short Term Ensemble Prediction System (STEPS) algorithm using the SAL technique. The verification process is carried out by calculating the index value of the structure component (S), amplitude (A), and location (L) in the QPF prediction results based on the results of weather radar observations. The index values for components S and A have a range of -2 to 2, and 0 to 1 for component L with a perfect value of 0. The case study used is the occurrence of heavy rains that caused flooding in Bogor Regency in 2020. SAL verification results from 26 case studies used shows the average value of the components S, A, and L, respectively 0.51, 0.38, and 0.21. As many as 75% of all case studies have S and L component values less than 0.5 which indicate the structure and location of the QPF prediction object is close to the structure and location of the object of observation. A positive value in component A indicates that the QPF prediction results based on the STEPS algorithm tend to be overestimated but on a low scale, namely 0.38 out of 2.