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IMPLEMENTATION OF ARABIC LEARNING AT MTS NDM (NAHDHATUL MU'ALIMIN) SURAKARTA IN IMPROVING LEARNING OUTCOMES Mustofa, M
Proceeding of International Conference of Islamic Education Vol. 1 (2023): Proceeding of International Conference of Islamic Education
Publisher : Institut Islam Mamba'ul 'Ulum Surakarta

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Arabic language learning is important for every Muslim because it is the language of the Quran, Hadith, and the language used by scholars to compile disciplines in Islamic studies. Therefore, in this research, the researcher attempts to investigate the methodology of Arabic language learning at Madrasah Nahdhatul Mualimin Surakarta. As known, there are three types of research methodologies: classical, modern, and mixed. This research utilizes a qualitative method. The findings of this study reveal that the methodology of Arabic language learning in the research subject is a mixed approach.

Story Generator Bahasa Indonesia dengan Skip-Thoughts Mustofa, M; Fudholi, Dhomas Hatta
J-SAKTI (Jurnal Sains Komputer dan Informatika) Vol 6, No 2 (2022): EDISI SEPTEMBER
Publisher : STIKOM Tunas Bangsa Pematangsiantar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/j-sakti.v6i2.479

Currently, there are many studies that want computers to be able to imitate human creativity in stringing words into writing like a writer. This study aims to use the RNN algorithm to produce automatic story writing in Indonesian. The main contribution in this research is the creation and evaluation of the RNN algorithm based on the skip-thoughts model using an Indonesian language dataset. The skip-thoughts model consists of an encoder in the form of single GRU layer with 500 hidden units, and two decoders with single GRU layer each with 500 hidden units. The function of the encoder is to do the word mapping process from the input sentence, while the decoder predicts the sentence before (previous decoder) and the sentence after (next decoder) from the input sentence. The dataset used in the model training is in the form of stories in Indonesian with the genres of folklore and short stories. The model training process is run in 100 epochs, using the ADAM optimizer to get the optimal model. Based on the results of the assessment of respondents who have a background as writers, the folklore model shows a fairly good rating (average score of 65) for the S-P-O-K criteria, and a low rating for criteria of linkage between sentences (average score of 38) and the context of the whole story (average score of 32). The short story of life model shows a good rating (average score of 73) for the S-P-O-K criteria, and a low rating for the linkage between sentences criteria (average score of 48), and the context of the whole story (average score of 42). Based on the results of the assessment, the skip-thoughts model used in the Indonesian story generator has worked well, but it can still be improved by increasing the number of training datasets for each story genre used, as well as being more specific in determining the genre in order to obtain story integrity better.

Story Generator Bahasa Indonesia dengan Skip-Thoughts Mustofa, M; Fudholi, Dhomas Hatta
J-SAKTI (Jurnal Sains Komputer dan Informatika) Vol 6, No 2 (2022): EDISI SEPTEMBER
Publisher : STIKOM Tunas Bangsa Pematangsiantar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/j-sakti.v6i2.479

Currently, there are many studies that want computers to be able to imitate human creativity in stringing words into writing like a writer. This study aims to use the RNN algorithm to produce automatic story writing in Indonesian. The main contribution in this research is the creation and evaluation of the RNN algorithm based on the skip-thoughts model using an Indonesian language dataset. The skip-thoughts model consists of an encoder in the form of single GRU layer with 500 hidden units, and two decoders with single GRU layer each with 500 hidden units. The function of the encoder is to do the word mapping process from the input sentence, while the decoder predicts the sentence before (previous decoder) and the sentence after (next decoder) from the input sentence. The dataset used in the model training is in the form of stories in Indonesian with the genres of folklore and short stories. The model training process is run in 100 epochs, using the ADAM optimizer to get the optimal model. Based on the results of the assessment of respondents who have a background as writers, the folklore model shows a fairly good rating (average score of 65) for the S-P-O-K criteria, and a low rating for criteria of linkage between sentences (average score of 38) and the context of the whole story (average score of 32). The short story of life model shows a good rating (average score of 73) for the S-P-O-K criteria, and a low rating for the linkage between sentences criteria (average score of 48), and the context of the whole story (average score of 42). Based on the results of the assessment, the skip-thoughts model used in the Indonesian story generator has worked well, but it can still be improved by increasing the number of training datasets for each story genre used, as well as being more specific in determining the genre in order to obtain story integrity better.

Impact of Audit and Financial Factors on Audit Report Lag: Evidences from Indonesian Local Government Bawono, Andy Dwi Bayu; Sasongko, Noer; Mustofa, M
Riset Akuntansi dan Keuangan Indonesia Vol 8, No 1 (2023): Riset Akuntansi dan Keuangan Indonesia
Publisher : Universitas Muhammadiyah Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23917/reaksi.v8i1.22644

Financial report relevance, which is one of the qualitative features of financial reports, can be affected by audit report lag. Less pertinent is the audited financial report of a local government the longer the audit report is delayed. Thus, the user of a local government financial report may experience negative consequences. This study’s objective was to examine empirical evidence about the influence of audit results, auditor switches, local government size, leverage, and profitability on local government audit report lag in Indonesia. This study utilized 506 out of 514 local governments (districts and cities) in Indonesia during 2017 and 2018, with a total sample size of 1,012. This study utilized secondary data collected from 2017 to 2018 audit reports of the Supreme Audit Institute – SAI (BPK). The data was collected from the electronic database services of the Information and Documentation Executive Authority (E-PPID) at http://e-ppid.bpk.go.id. The Purposive Sampling Technique was used to acquire the sample, and the data was analyzed using Ordinary Least Squares (OLS). According to the research, audit findings, local government size, and leverage influenced local government audit report latency, but auditor changes and profitability had no significant effect. Many variables, including audit opinion, audit quality, auditor experience, the quantity of capital expenditures, special allocation funds received by local government, and the qualifications of the local government report compiler, might be investigated further. In addition, splitting municipal governments depending on island location would provide for an intriguing extra audit report lag study.

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