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All Journal Jurnal Informasi dan Komputer Antasena: Governance and Innovation Journal
Satrio, Agung
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Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Education Environmental Science Mathematics Social Sciences Other

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KOMPARASI ALGORITMA SUPPORT VECTOR MACHINE (SVM) DAN LONG SHORT TERM MEMORY (LSTM) UNTUK PREDIKSI KEPUASAN MAHASISWA TERHADAP KINERJA DOSEN Dwiatmoko, Fathoni; Sivi, Nuari Anisa; Mualim, Imam; Satria, Jagat; Satrio, Agung
Jurnal informasi dan komputer Vol 12 No 01 (2024): Jurnal Informasi dan Komputer yang terbit pada tahun 2024 pada bulan 4 (April)
Publisher : LPPM Institut Teknologi Bisnis Dan Bahasa Dian Cipta Cendikia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35959/jik.v12i01.581

Abstract

Education serves as the primary foundation to fulfill life's needs through the acquisition of adequate knowledge. The educational process aims to create high-quality Human Resources (HR), starting from elementary education to higher education. Performance evaluation of lecturers is essential as they play a vital role in daily interactions with students, impacting student satisfaction. This research aims to compare Support Vector Machine (SVM) and Long Short-Term Memory (LSTM) algorithms in predicting student satisfaction with lecturer performance. The variables used include responsiveness, reliability, appearance, and empathy. The study results are expected to provide further insights into the effectiveness of both methods in predicting student satisfaction. The analysis of SVM and LSTM algorithm calculations is based on satisfaction data from students at the Faculty of Science and Technology, Nahdlatul Ulama University Lampung. Data collection involved feedback from 2462 respondents on lecturer performance obtained from the Quality Cluster in the Faculty of Science and Technology (FASTEK), recorded in an Excel format. The accuracy results of the SVM and LSTM algorithms, based on the evaluation of the testing system, show a comparison of accuracy results. SVM algorithm accuracy is 98.78%, while LSTM algorithm accuracy is 98.68%. It is concluded that the SVM algorithm provides satisfactory results in determining the level of student satisfaction.
Upaya Pengembangan Usaha Bumdes di Desa Kadubereum: Strategi Jitu Apa Yang Harus Dilakukan? Rahmawati, Rahmawati; Yusuf, Maulana; Satrio, Agung
ANTASENA: Governance and Innovation Journal Vol. 2 No. 1 (2024): Juni
Publisher : FIA Unkris Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61332/antasena.v2i1.183

Abstract

One of the mandatories of Law No. 6/2014 on Villages is the obligation to establish a Village-Owned Enterprise or Bumdesa. Village owned enterprise (VOE) is the motor of economic mobilisation in the village as stated in Article 5. Kadubereum Village in Serang Regency is a village with agricultural and plantation potential. Based on the potential of the village, VOE Sejahtera was formed with superior products from the plantation, namely purple sweet potatoes. However, in its development, there are obstacles related to marketing, raw materials and also the budget in the business development of VOE Sejahtera. This research aims to analysis what strategies can be done to develop VOE Sejahtera business. The method used is qualitative with a case study approach. Data collection through FGDs on VOE management, village officials and community leaders. The results showed that from environmental observations, the formation of BUMDes Sejahtera aims to utilise the community's plantation products in the form of purple sweet potatoes which often experience low selling prices when the harvest arrives. The strategy developed was to make purple sweet potato chips covered in chocolate and labelled UCOK. Unfortunately, the marketing of UCOK products is still in the local market even though it has entered minimarkets or retailers in Serang Regency. The Office of Cooperatives and MSMEs of Serang Regency has provided training to the VOE management in the form of packaging and registering a certificate from BPOM Serang
Co-Authors Dwiatmoko, Fathoni Maulana Yusuf Mualim, Imam Rahmawati, Rahmawati Satria, Jagat Sivi, Nuari Anisa