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Pengembangan Keripik Gadung Dan Sambal Di Dusun Tanjungsari Desa Sukoharjo Melalui Pendampingan Pengolahan Produk Nipu, Marsailes; Pekujawang, Anastasya R. A.; Drostela Putri, Maria Fatima; Widarti, Sinta; Dwi Bekti, Rokhana
DHARMA BAKTI Dharma Bakti-Vol 6 No 2-Oktober 2023
Publisher : LPPM IST AKPRIND Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34151/dharma.v6i2.4511

Abstract

PPK Ormawa 2023, HIMASTA, Jurusan Statistika, Institut Sains & Teknologi AKPRIND Yogyakarta dilaksanakan di Dusun Tanjungsari, Desa Sukoharjo, Kecamatan Ngaglik, Sleman. Lokasi Dusun Tanjungsari memiliki banyak potensi hasil panen umbi gadung dan cabai. Namun demikian, umbi gadung hanya dijual dalam bentuk mentah dan varian rasanya hanya original. Sedangkan, untuk hasil pertanian cabai langsung dijual dipasaran serta digunakan sebagai bumbu dapur saja. Dengan pengembangan produk keripik gadung dibuat berbagai varian rasa serta cabai dibuat sambal akan menambah pemasukan ekonomi keluarga. Program dilakukan selama bulan Juli-Oktober 2023. Program PPK Ormawa HIMASTA 2023 yang dilakukan adalah dengan memberikan pelatihan produksi dan varian rasa dengan mitra yaitu 2 kelompok warga dusun Tanjungsari. Program selanjutnya adalah praktik produksi hingga pemasaran. Hasil pelatihan ini mitra mampu mengolah umbi gadung dan cabai, dengan hasil keripik gadung mentah sebanyak 200 gram setiap 1 kg umbi gadung. Sedangkan untuk hasil 2.500 gram cabai menghasilkan 3.750 ml sambal. Hal tersebut membuktikan bahwa mitra mampu mengembangkan produk bernilai jual tinggi untuk meningkatkan perekonomian keluarga.
POJOK CERDAS KREASI DAN POJOK CERDAS MARKETING UNTUK MENDUKUNG PENINGKATAN EKONOMI MASYARAKAT DAN UMKM DI KALURAHAN UMBULMARTANI Maurice Sani, Roswita; Theodora Purwaningrum, Emiliana; Nona Soge, Margareta; Maulana Zahran, Daffa; Setiawan, Sofiani; Melita Panggar, Hendrika; Dwi Bekti, Rokhana
Jurnal Abdimas Terapan Vol. 4 No. 1 (2024): JURNAL ABDIMAS TERAPAN (NOVEMBER)
Publisher : Program Vokasi Universitas Negeri Gorontalo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56190/jat.v4i1.63

Abstract

PPK Ormawa 2024 oleh HIMASTA, Program Studi Statistika, Universitas AKPRIND Indonesia dilaksanakan di Dusun Ngemplak 1 dan Dusun Kalisoro, Kelurahan Umbulmartani, Kecamatan Ngemplak, kabupaten Sleman, DIY. Dusun Ngemplak 1 memiliki potensi hasil panen talas yang melimpah. Meskipun tanahnya subur dan sesuai untuk tanaman talas, penduduk setempat belum tahu cara mengolah talas tersebut. Oleh karena itu, Tim memberikan program melalui Pojok Cerdas Kreasi yang berupa memproduksi umbi talas menjadi keripik talas dengan varian rasa original dan balado. Di Dusun Kalisoro, sudah ada tiga UMKM, namun mereka belum memiliki izin PIRT dan belum memiliki kemampuan dalam mempromosikan produk mereka di media sosial. Oleh karena itu tim memberikan program melalui Pojok Cerdas Marketing. Program ini berlangsung selama bulan Juni-Oktober 2024 yang bertujuan untuk memberikan pelatihan produksi, pengembangan varian rasa, dan promosi produk di media sosial. Sasaran adalah kelompok warga Dusun Ngemplak 1 dan UPPKA Citra Sari di Dusun Kalisoro. Hasil program ini diharapkan dapat meningkatkan keterampilan mitra dalam mengolah talas dan mempromosikan produk mereka. Dengan hasil keripik talas yang variatif, diharapkan dapat meningkatkan pendapatan ekonomi keluarga. Hal ini membuktikan bahwa mitra mampu mengembangkan produk bernilai jual tinggi untuk meningkatkan pendapatan mereka.
Implementation of Plastic Shredding Machine for Waste Processing in Wukirsari Village Purnawan; Dwi Bekti, Rokhana; Suparni Setyowati Rahayu; Purwanto, Yuli; Ratno, Jovin; Andang Novianta, Muhammad
ABDIMAS: Jurnal Pengabdian Masyarakat Vol. 8 No. 1 (2025): ABDIMAS UMTAS: Jurnal Pengabdian Kepada Masyarakat
Publisher : LPPM Universitas Muhammadiyah Tasikmalaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35568/abdimas.v8i1.5638

Abstract

The village of Wukirsari faces the problem of plastic waste, which is increasingly generated by community activities such as households, tourism, agriculture, and fishing. The Organization of ‘Sadar Lingkungan Balangan’ Group is one of the waste management groups in Wukirsari that has limitations in waste processing tools. Therefore, an effort was made to manage waste based on appropriate technology by using a plastic shredder. The goal of this program is to provide a plastic shredding machine to help reduce waste piles and increase the selling value of waste. The program has been running with stages of socialization and FGD, implementation of TTG, training and monitoring and evaluation. With a capacity of 90 - 100 kg/hour, the use of this machine can avoid the accumulation of waste. Waste can be recycled, waste accumulation is reduced and waste has more value. In addition, the group has received training and the support of Wukirsari Village will ensure that the sustainability of the program will continue.
Robust Spatial Durbin Model Untuk Pemodelan Tingkat Pengangguran Terbuka di Provinsi Jawa Tengah Dwi Bekti, Rokhana; Rifdha Rahmadhani, Wahyu; Noeryanti, Noeryanti
JNANALOKA Vol. 04 No. 02 September Tahun 2023
Publisher : Lentera Dua Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36802/jnanaloka.2022.v4-no2-91-103

Abstract

Unemployment is still a very crucial problem faced by the Indonesian state. The Central Bureau of Statistics noted that the number of unemployed in Indonesia in 2019 was 4.44 percent, an increase of 2.04 percent in 2020. The purpose of this study was to find out the characteristics of the spatial pattern and modeling the open unemployment rate in Central Java Province. Removing outliers in spatial analysis can change the composition of the spatial effects on the data. One method of solving due to outliers in the spatial regression model is using spatial robust regression. Robust Spatial Durbin Model method which is one of the methods used when spatial outliers occur. The results showed that there are spatial pattern characteristics and modeling for each dependent and independent variable which are different from the independent variables which are mutually correlated. In addition, the RSDM model is a better model than the OLS and SDM models in modeling the Open Unemployment Rate in Central Java Province in 2021 because it has an R2 value of 49.85% and the smallest AIC value of 22,563.
Application of Geographically Weighted Regression Method on the Human Development Index of Central Java Province Hasibuan, Devi Octaviani; Pau Teku, Heribertin; Drostela Putri, Maria Fatima; Setyawan, Yudi; Dwi Bekti, Rokhana
Enthusiastic : International Journal of Applied Statistics and Data Science Volume 3 Issue 2, October 2023
Publisher : Universitas Islam Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20885/enthusiastic.vol3.iss2.art6

Abstract

Spatial data are data containing information on the location or geography of a region on the representation of objects on earth. Geographically Weighted Regression (GWR) is a development of the Ordinary Least Square (OLS) theory into a weighted regression model that considers spatial effects, resulting in a parameter estimation that can only be used to predict each location where the data are observed.  The Human Development Index (HDI) is an essential indicator for measuring success in efforts to build human quality of life. HDI data regencies/cities in Central Java are interconnected, so it is said to be spatial data and there are spatial effects in it. Therefore, the GWR method was applied to obtain faculties affecting HDI in Central Java Province. The data used were secondary data in 2020.  The determination coefficients of the GWR model ranged between 76.09% and 87.16%. If the variable values of population density and Gross Regional Domestic Product (GRDP) increase by one unit in each district/city in Central Java Province, the HDI variable value increases. These results were visualized on a dashboard providing information about the characteristics of HDI and independent variables, GWR parameter estimates, and the significance of independent variables in each regency/city.