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Upaya Peningkatan Kualitas Karya Ilmiah Guru (Studi Kasus di Lingkungan Mts YAPI Pakem) Abdullah Ahmad Dzikrullah; Achmad Fauzan; Novendri Isra Asriny
E-Dimas: Jurnal Pengabdian kepada Masyarakat Vol 11, No 1 (2020): E-DIMAS
Publisher : Universitas PGRI Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26877/e-dimas.v11i1.4163

Abstract

Sudah banyak pemberitaan lokal maupun nasional terkait isu penarikan sertifikasi guru untuk sementara waktu apabila selama lima tahun yang bersangkutan tidak membuat karya ilmiah. Hal ini menunjukkan minat guru untuk meneliti dan menyusun karya ilmiah masih kurang.  Diantara penyebabnya adalah sebagian besar guru kurang motivasi maupun kurang pemahaman tentang analisis data penelitian khususnya terkait Penelitian Tindakan Kelas (PTK). Pada pengabdian masyarakat ini, guru MTs Yapi Pakem akan diberikan pembekalan beberapa materi mengenai konsep dasar penelitian beserta analisis data yang tepat untuk menyelesaikan suatu permasalahan. Diharapkan dengan pemahaman yang cukup mengenai analisis data yang tepat, para guru lebih terampil dalam menyelesaikan permasalahan sehingga menjadi lebih termotivasi dalam penulisan karya ilmiah berkualitas. Dari hasil pelaksanaan pengabdian yang sudah dilakukan kurang lebih empat bulan dengan rangkaian kegiatan berupa: pelatihan mengenai konsep dasar penelitian dengan mendatangkan pakar di bidangnya dan pemberian workshop analisis data sederhana untuk menghitung data kuantitatif, dan pendampingan guru untuk melakukan PTK. Dari hasil pelaksanaan diperoleh kesimpulan bahwa minat guru dalam membuat PTK masih kurang dikarenakan dari pihak institusi tidak mewajibkan setiap guru membuat PTK sebagai revolusi pembelajaran sehingga motivasi dan waktu untuk memikirkan PTK sangat rendah. Hal ini dibuktikan dengan hasil kuesioner yang diisi oleh para guru. Hasil analisis dari kuesioner tersebut mengindikasikan permasalahan real ada pada motivasi guru dan minat guru yang rendah untuk melakukan penelitian sehingga target yang harusnya dicapai belum terpenuhi.
Program Pemberdayaan Budidaya Jamur Tiram di Desa Tamanwinangun Kabupaten Kebumen Faisal Arif Nurgesang; Abdullah Ahmad Dzikrullah
Jurnal Pengabdian Masyarakat Akademisi Vol. 1 No. 4 (2022)
Publisher : Jurnal Pengabdian Masyarakat Akademisi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54099/jpma.v1i4.364

Abstract

Budidaya jamur tiram menjadi usaha yang sangat menjanjikan akhir-akhir ini. Selain memiliki nutrisi yang tinggi jika dikonsumsi, budidaya jamur tiram tidak memerlukan lahan yang luas dan adaptif terhadap lingkungan. Usaha budidaya jamur milik Bapak Kholid di daerah Tamanwinangun Kebumen merupakan salah satu contohnya. Usaha yang sudah dirintis beberapa tahun tersebut, ternyata terdapat beberapa kendala budidaya jamur khususnya dalam penanganan hama serta proses pemasaran. Setelah dilakukan observasi beberapa kali, diperoleh beberapa solusi alternatif yaitu proses pengemasan yang baik menggunakan plastik kedap oksigen untuk mengurangi proses oksidasi jamur, pemisahan jamur yang terkontaminasi hama secara berkala, dan pemasaran menggunakan media sosial dan website. Untuk memfasilitasi solusi tersebut, dilakukan penyuluhan secara teoritis maupun praktik yang dihadiri oleh beberapa peserta. Hasil dari penyuluhan tersebut peserta dapat mempraktikkan langsung proses pengemasan dan memasarkan melalui website dan media sosial.
VOLATILITAS HARGA BAWANG DI JAWA BARAT DENGAN METODE ARCH/GARCH Ranti Pramushinta Kurnia; Abdullah Ahmad Dzikrullah
Jurnal Lebesgue : Jurnal Ilmiah Pendidikan Matematika, Matematika dan Statistika Vol. 3 No. 3 (2022): Jurnal Lebesgue : Jurnal Ilmiah Pendidikan Matematika, Matematika dan Statistik
Publisher : LPPM Universitas Bina Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46306/lb.v3i3.153

Abstract

Food commodities such as shallots and garlic are still a concern for the Indonesian people, this is because prices are not fixed and fluctuate for each period. It is these price fluctuations that cause high price volatility. An illustration of the magnitude of the risks that will be faced by economic actors in the future can be illustrated by the magnitude of price changes that indicate market fluctuations in a period of time. The model that can be used to analyze the nature of price volatility is Autoregressive Conditional Heteroscedasticity (ARCH) and Generalized Autoregressive Conditional Heteroscedasticity (GARCH). The purpose of this study was to determine the price volatility of shallots and garlic in West Java Province for the period January 2013 to December 2021. The results showed that retail prices for garlic were heteroscedastic, so the model that was more suitable was ARCH/GARCH. As for the commodity of shallots that are homoscedastic, the model that is carried out is only up to the ARIMA model analysis. The volatility model for garlic is the ARCH(1) model. The results of the model estimation show that garlic price volatility is quite high
Pemodelan Harga Cabai Indonesia dengan Metode Seasonal ARIMAX Faris Nasirudin; Abdullah Ahmad dzikrullah
Jurnal Statistika dan Aplikasinya Vol 7 No 1 (2023): Jurnal Statistika dan Aplikasinya
Publisher : Program Studi Statistika FMIPA UNJ

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21009/JSA.07110

Abstract

Chili is one of the plants favored by the people of Indonesia because Indonesian cuisine is famous for its spicy taste and spices in every food dish. The rise and fall of chili prices in the market are caused by chili farmers whose production decision-making processes are allegedly not handled and supported by a good production and price forecast. Therefore, analysis is needed to see the forecasting of chili prices in Indonesia in the future. The method that researchers use in forecasting in this study is the SARIMA and SARIMAX methods using the variables of rainfall, inflation, and google trend. The analysis shows that the SARIMAX method is the best model for predicting chili prices with a MAPE value of 6.889% compared to a MAPE SARIMA value of 7.630%.
Pengelompokan Provinsi Berdasarkan Kualitas Jaringan Internet Dengan Metode Centroid Linkage Abdullah Ahmad Dzikrullah
Journal of Mathematics, Computations and Statistics Vol. 5 No. 1 (2022): Volume 05 Nomor 01 (April 2022)
Publisher : Jurusan Matematika FMIPA UNM

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

After the current pandemic, the internet has shown its power as a medium for digital acceleration and economic transformation. Internet quality is absolutely an essential requirement in carrying out various activities. Indonesia has unequal internet quality, and only specific areas in Java and Sumatra have good quality. This study aims to classify 34 provinces in Indonesia based on five indicators of internet network quality. The cluster method can rank regions based on internet quality indicators. The centroid Linkage method is an object grouping method that has advantages in handling outlier data. This study resulted in four groups with low internet quality located in Papua and West Papua provinces. The contours and topography of the area are obstacles for the government to distribute quality internet.
Factors Affecting The Number Of Domestic Flights In Indonesia During Covid-19 Pandemic Using SARIMAX Method Zahrah Zeinawaqi; Abdullah Ahmad Dzikrullah
Jurnal Matematika, Statistika dan Komputasi Vol. 21 No. 1 (2024): SEPTEMBER 2024
Publisher : Department of Mathematics, Hasanuddin University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20956/j.v21i1.34557

Abstract

Indonesia, which consists of thousands of large and small islands, relies heavily on-air transportation to support mobility between regions. As many as 80% of Indonesia's total air transportation passengers are domestic flight passengers. This shows how vital domestic flights are in Indonesia's air transportation system. However, in 2020, the COVID-19 pandemic had an impact that resulted in a decrease in the number of domestic flights in Indonesia. Therefore, an analysis is needed to determine the factors that affect the number of domestic flights in Indonesia. This study uses the SARIMAX method, a time series regression with the addition of seasonal factors and other variables or exogenous factors that significantly affect the model to improve the model's accuracy. Several exogenous variables are considered, including the number of operating civil aviation airports, positive daily cases of COVID-19, calendar effects during Eid al-Fitr and New Year's Day, and social restriction policies. The results showed that the number of operating airports one week before Eid al-Fitr, one week during Eid al-Fitr, one week before New Year, and Emergency PPKM significantly influenced the number of domestic flights. These variables offer pivotal insights into the influence of external factors on domestic flight patterns, exerting significant impacts on passenger travel behavior and subsequently influencing domestic flight volume. The integration of these variables in the SARIMAX model allows for a comprehensive analysis of the complex dynamics influencing domestic air travel in Indonesia. The best SARIMAX model obtained is SARIMAX (1,1,1)(4,1,1)7 with a MAPE value of 5.35% and a coefficient of determination is 97%.