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Manajemen Mutu Pendidikan dalam Perspektif Kebijakan Pendidikan Nasional dan Islam Sunoto; Rosyid, M. Abdul; Yulianto
Adabuna : Jurnal Pemikiran dan Pendidikan Vol 3 No 1 (2023): December
Publisher : Program Pascasarjana Institut Agama Islam (IAI) Darullughah Wadda'wah Pasuruan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38073/adabuna.v3i1.992

Abstract

The low quality of education in Indonesia is actually a long-standing discussion. But until now the quality of education is also finished. Quality education is the expectations and demands of all stakeholders in education. Everyone will certainly prefer menntut science at an institution that has a good quality. On this basis, schools / educational institutions should be able to provide good service and quality in order not to be abandoned and unable to compete with other educational institutions. From a variety of views, criteria and indicators that we can take that quality education could be improved if the school has one) support from the government, 2) Leadership Principals effective, 3) Performance good teacher, 4) relevant curriculum 5) graduates quality, 6) culture and climate of effective organization, 7) the support of the community and parents. Implementation of management in improving the quality of education is a real solution is to be hope in order to manage the indicators of the quality of education to create a synergy in efforts to improve the quality of education
Analysis of Rice Yield Prediction with Mlpregressor and Long Short-Term Memory Models Sunoto; Mangapul Siahaan
INOVTEK Polbeng - Seri Informatika Vol. 10 No. 1 (2025): March
Publisher : P3M Politeknik Negeri Bengkalis

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35314/wnpm3846

Abstract

This research aims to analyse and compare the accuracy of rice productivity prediction using Multi-Layer Perceptron  Regressor (MLPRegressor) and Long Short-Term Memory (LSTM) models. The data used comes from the Badan Pusat Statistik (BPS) for the period 2018-2023, covering rice productivity from 34 provinces in Indonesia. The study employed six different architectural models for each model, with training data using the 2018-2020 period and testing data for 2021-2023. The results show that the LSTM model with 2-42-42-42-1 architecture achieved the highest accuracy rate of 94.12% with MSE 0.00305660, while the MLPRegressor model with 2-22-1 architecture achieved 91.18% accuracy with MSE 0.00471975. These results indicate that LSTM performs slightly better in predicting rice productivity, which can be used as a reference for agricultural planning and food policy in Indonesia.
Strategi Naratif Dalam Iklan Online: Menganalisa Pengaruh Introducing Jo & Jek Terhadap Sikap Penonton di Platform Youtube Carlos Pingsen Pratama; Vincent So; Sunoto; Muhammad Hafiz Ivan Irawan; Jenifer Lim
Journal of Trends Economics and Accounting Research Vol 4 No 2 (2023): December 2023
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/jtear.v4i2.1000

Abstract

Currently, narrative online advertising is considered effective because it can shape consumer attitudes through beliefs, feelings (affect) and behavioral intentions. Narrative-style ads are in focus because they are able to shape consumer attitudes through interesting stories and provide useful information. The objectives of this study also include understanding how Jo&Jek's narrative ads influence viewers' perceptions of the brand. In addition, this study also revealed that demographic factors such as gender and online ad viewing habits can moderate the effects of Jo&Jek narrative commercials on viewers' attitudes, therefore the researcher took this case study using Go-Jek Indonesia's web narrative commercial titled "Introduction: Jo & Jek. This study uses a quantitative approach and uses a questionnaire to collect information from those who watched Introducing Jo&Jek. There will be 400 participants used as the research sample. In this study, a Likert scale was used for quantitative data collection, and basic linear regression analysis was conducted with the help of SPSS. The simple linear regression test results yielded the formula Y = 0.172 + 0.954X. The study found that online narrative advertising explained 57.4% of the variation in viewer sentiment, and the remaining 42.6% was influenced by other variables beyond the scope of this study. Therefore, it can be said that people's perspectives on products and services are influenced by audience attitude marketing.