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All Journal JURNAL SISTEM INFORMASI BISNIS Vision: Journal for Language and Foreign Language Learning Jurnal Pengabdian UntukMu NegeRI Kelola: Jurnal Manajemen Pendidikan
Daniel Kurniawan
Universitas Kristen Satya Wacana
Religion Arts Humanities Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Law, Crime, Criminology & Criminal Justice Mathematics Social Sciences Other

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Evaluasi Program Supervisi Akademik di PAUD Swasta Daniel Kurniawan; Yari Dwikurnaningsih; Bambang Suteng Sulasmono
Kelola: Jurnal Manajemen Pendidikan Vol. 5 No. 2 (2018)
Publisher : Universitas Kristen Satya Wacana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24246/j.jk.2018.v5.i2.p107-123

Abstract

This study was designed to evaluate academic supervision program at PAUD Tunas Kasih, Magelang, using Context, Input, Process, Product (CIPP) evaluation model. The results of the study were expected to provide inputs to decision-makers for subsequent programs. The respondents of this descriptive-qualitative research included the school principal, six teachers, and a school managerial staff. Data collection was done through interviews, observation and document studies. Triangulation of data sources and methods validated the data, subsequently analysed through data condensation, data display, conclusion drawing and verification. Findings indicated the context evaluation revealed a need for academic supervision based on the condition and the need for teacher’s quality improvement. The input evaluation described the well-planned program—using different techniques, involving the teachers in their readiness, supported by available budget and infrastructure. The process evaluation reported the implementation of the planned techniques, with some adjustments based on the on-going condition, supported by the teachers’ readiness as well as participation and how they handle the constraints. The product evaluation found out that the academic supervision program had positive impacts and achieved the planned goals. It also discovered teachers’ positive responses and some follow-up plans. Lastly, this study gave recommendations to improve the local supervision programs, inputs to the school management, and ideas for future researches.
Google Translate in EFL Freshmen’s Writing Assignments: Uses, Awareness of Benefits and Drawbacks, and Perceived Reliance Timotius Pradana A. Moelyono; Elisabet Titik Murtisari; Daniel Kurniawan; Andrew Thren
Vision: Journal for Language and Foreign Language Learning Vol 12, No 1 (2023)
Publisher : Universitas Islam Negeri Walisongo Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21580/vjv12i217446

Abstract

Although technology use is inevitable among language learners, using Machine Translation (MT), such as Google Translate (GT), remains controversial in language learning. Despite its advances, it may be detrimental to L2 learning when used excessively, especially for those with more limited linguistic resources. This research investigates first-year EFL students' autonomous utilization of GT in writing assignments, explores their awareness of GT’s advantages and disadvantages, and assesses their perceived relative reliance on the technology. As many as 85 Indonesian EFL first-year students participated in this study by completing questionnaires consisting of closed-ended and open-ended questions. Even though most students recognized GT’s potential negative impact on language learning, this study reveals how various factors have contributed to its notably significant usage among them. While most participants reported using GT only occasionally and mainly at the word level, their use for translating longer texts was significantly higher than in previous research involving students at different English competence levels. Additionally, boosting confidence, convenience, and serving as language scaffolding were identified as GT’s main benefits, leading to students’ reliance on technology. Most expressed potential difficulty working without GT. Recommendations were made to support less-proficient students, given the growing prevalence of MT in language education.
Analisis Sentimen Komentar Konsumen Industri Jamu di Media Sosial menggunakan Artificial Neural Network dan K-Nearest Neighbor Daniel Kurniawan; Hindriyanto Dwi Purnomo; Ade Iriani
Jurnal Sistem Informasi Bisnis Vol 14, No 3 (2024): Volume 14 Nomor 3 Tahun 2024
Publisher : Diponegoro University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21456/vol14iss3pp210-223

Abstract

Phytopharmaceutical plants have become one of the main commodities contributing significantly to the economy through their use in the pharmaceutical, cosmetic, and health industries. However, behind this economic potential, traditional herbal medicine businesses often face challenges, particularly in promotion and brand identity. Social media platforms like Instagram have now introduced unique features to support business and marketing, primarily by providing in-depth information about herbal products and offering opportunities for businesses to receive feedback from consumers. Comments on social media are valuable but often unstructured; hence, sentiment analysis is necessary to organize and categorize this data. By combining comment data with information from Google Trends, cause-and-effect relationships from comments during specific periods can be identified using path analysis. This research aims to analyze consumer comments on the Sidomuncul company's Instagram platform, with the hope of benefiting the company and advancing herbal medicine products. The methods used in this study include Artificial Neural Network (ANN) and K-nearest neighbor (KNN) to classify comments into positive, negative, and neutral categories. Both methods show satisfactory results in classification, with an average accuracy of 0.887 for ANN and 0.874 for KNN. However, the ROC curve for the KNN model indicates a relatively low AUC value in classifying negative comments, at 0.598.
Pelatihan Pembelajaran Berbasis Teks Secara Digital Dalam Kerangka Penerapan Kurikulum Merdeka Ragawanti, Debora Tri; Kurniawan, Daniel; Januardi, Josephine
Jurnal Pengabdian UntukMu NegeRI Vol 8 No 1 (2024): Pengabdian Untuk Mu negeRI
Publisher : LPPM UMRI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37859/jpumri.v8i1.6827

Abstract

Text-based teaching (TBT) has characterized and been emphasized in our national curriculum at elementary and secondary levels. As a consequence, English teaching is based on the TBT principles. Along with the vast development of technology, the implementation of TBT is also integrated with the use of digital technology that is to increase the quality of teaching and learning and to increase students’ technology literacy. This paper reports a workshop on digital TBT in the implementation of “Kurikulum Merdeka.” The objective is to find out teachers’ implementation of digital TBT for teaching English using “Kurikulum Merdeka.” The participants were 26 English teachers under Musyawarah Guru Mata Pelajaran (MGMP) Bahasa Inggris (an English Teachers Forum), Salatiga, Central Java. The methods used in this program were reflective practice and Focus Group Discussion (FGD). The findings revealed that most teachers used all the steps of the TBT cycle. All teachers applied Modelling of Text (MOT), but only a few applied Joint Construction of Text (JCOT). The findings on the use of technology for the TBT cycle demonstrated that the teachers used digital technology more in Building Knowledge of the Fields (BKOF) and Independent Construction of Text (ICOT).
Co-Authors Ade Iriani Andrew Thren Debora Tri Ragawanti Elisabet Titik Murtisari Hindriyanto Dwi Purnomo Januardi, Josephine Purwoko, Agus Timotius Pradana A. Moelyono