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Analisis Kinerja Mesin Terhadap Penggunaan Bioethanol dari Pengolahan Limbah Sampah Organik Sugiyarto, Sugiyarto; Pratama Putra Haryanto, Priangga; Sulistyowati, Nina
National Multidisciplinary Sciences Vol. 3 No. 1 (2024): PROCEEDING SEMAKIN E.1
Publisher : Universitas Muhammadiyah Jember

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Kelangkaan bahan bakar dan tingginya emisi gas buang karbon monoksida merupakan masalah yang sering terjadi di Negara Indonesia sebagai akibat dari tingginya kebutuhan sarana transportasi. Dibutuhkan pencarian sumber energi alternatif baru yang dapat diproduksi secara massal sebagai solusi pengganti tingginya penggunaan bahan bakar fosil untuk bahan bakar kendaraan bermotor. Salah satu usaha yang dapat dilakukan yaitu pengolahan limbah sampah organik menjadi bioethanol. Pengolahan limbah sampah organik menjadi bioethanol sebagai bahan bakar sepeda motor adalah solusi tepat yang bisa dilakukan mengingat pengolahannya bisa dilakukan pada skala rumah tangga. Jenis penelitian yang digunakan adalah penelitian kuantitatif. Metode penelitian yang dipakai adalah metode eksperimen. Tujuan dari penelitian yaitu: 1) menyelidiki apakah ada pengaruh penggunaan bioethanol dari pengolahan limbah sampah organik terhadap kinerja mesin pada Sepeda Motor Honda Vario 150; 2) Menyelidiki seberapa besar pengaruh penggunaan bioethanol dari pengolahan limbah sampah organik terhadap kinerja mesin pada Sepeda Motor Honda Vario 150. Hasil penelitian menunjukkan terjadi penurunan emisi gas buang karbon monoksida (CO) dengan menggunakan bahan bakar bioethanol dari sampah organik sebesar 0,04. Terjadi kenaikan daya dengan menggunakan bahan bakar bioethanol dari sampah organik sebesar 0,03. Terjadi penurunan konsumsi bahan bakar dengan menggunakan bahan bakar bioethanol dari sampah organik sebesar 0,038.

Workshop Peningkatan Kompetensi Pedagogik Guru Bahasa Inggris SMK di DIY Margana, Margana; Saputro, Eko Prasetyo Nugroho; Katrina Herda, Rozanah; Sulistyowati, Nina; Gita Atibrata, Tyas; Yulia Purwaningrum, Adriani; Sugesti, Nunik
Al-Khidmah Jurnal Pengabdian Masyarakat Vol. 4 No. 2 (2024): OKTOBER
Publisher : Institute for Research and Community Service (LPPM) of the Islamic University of Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56013/jak.v4i2.3157

This community service program was initiated to address challenges faced by vocational high school teachers in Yogyakarta. The primary issue is the lack of teacher preparedness to implement differentiated learning models in English lessons. Teachers often lack confidence in their ability to design engaging and relevant learning scenarios for students with diverse characteristics. Additionally, there is a tendency among teachers to assess student skills and readiness uniformly, leading to suboptimal delivery of varied activities, materials, and resources that cater to individual learning styles and preferences. To address these challenges, a workshop was organized to enhance teachers' understanding and skills in differentiated English learning. The workshop aimed at improving the pedagogical competence of vocational high school English teachers in Yogyakarta was conducted between May and June 2024, both online and offline. The program included practical experience-sharing sessions, offline workshops, and online mentoring to review teaching modules created by 49 vocational high school teachers. These modules were based on differentiated learning principles tailored to vocational education. The teachers provided positive feedback on the workshop, indicating that they found the facilities and presentation of the material highly beneficial. The success of this workshop, centered on differentiated learning, underscores its impact on enhancing the pedagogical skills of vocational high school English teachers.

OPINION MINING TERHADAP PENANGANAN ROHINGYA DI PROVINSI ACEH MENGGUNAKAN NAÏVE BAYES PADA MEDIA SOSIAL TWITTER Yuliawati, Yuliawati; Sulistyowati, Nina; Siska, Siska
Jurnal Informatika dan Teknik Elektro Terapan Vol 12, No 3 (2024)
Publisher : Universitas Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/jitet.v12i3.4990

Asia Tenggara dikenal dengan kekayaan budaya dan etnis yang beragam, namun kerap menghadapi konflik dan intoleransi antarkelompok. Kasus Rohingya menyoroti dampak negatif dari perbedaan ini, sering dibahas di platform Twitter. Untuk mengidentifikasi gambaran tentang penanganan Rohingya di Aceh, penelitian ini menggunakan metode KDD (Knowledge Discovery in Database). Proses ini mencakup seleksi, preprocessing, transformasi, data mining, dan evaluasi. Studi ini menunjukkan bahwa skenario 90:10 dengan pelabelan Inset Lexicon dan SMOTE menghasilkan akurasi model yang meningkat dari 80% menjadi 83%, dengan presisi 88%, recall 76%, dan f-measure 81%. Penggunaan Naïve Bayes untuk menganalisis sentimen dari 2.584 tweet Twitter menunjukkan hasil yang menjanjikan. Rekomendasi untuk penelitian mendatang mencakup pengumpulan data yang lebih luas dan pertimbangan algoritma seperti Random Forest atau Support Vector Machine. Pemerintah perlu mengadopsi kebijakan inklusif untuk memfasilitasi integrasi Rohingya di Aceh, sementara UNHCR harus meningkatkan advokasi dan kerjasama dengan pemerintah serta meningkatkan kesadaran masyarakat tentang integrasi pengungsi.

Writing Acceptable Descriptive Texts: A Case Study through Pre-service English Teachers’ Reflective Journal Reswari, Cinthia; Sulistyowati, Nina; Herda, Rozanah Katrina
Journal of English Language and Education Vol 9, No 6 (2024)
Publisher : Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/jele.v9i6.592

This study is a case study held in one of the writing classes of semester two students of the English Language Education Study Program in one of the universities in Yogyakarta, Indonesia. The aim of this study this to know the process of students in writing acceptable descriptive texts in English through their reflective journal. This study is essential to be done because we need more insights on the process of writing acceptable descriptive texts for pre-service English teachers. In obtaining the data, the researcher provided a reflective journal template that must be filled in by the students in the process of writing the descriptive texts. The result of this study can be categorized into four different points which are 1) the outlining process of pre-service English teachers writing their descriptive texts; 2) the drafting process; 3) the review process; and 4) the finalization of writing acceptable descriptive texts. Hopefully, the result of this study can give more insights and improvements to the teaching and learning of how to write descriptive texts especially for pre-service English teachers.

The Needs of Teaching English Using Brain-Based Learning in 21st Century Era Winantaka, Binar; Katrina Herda, Rozanah; Sulistyowati, Nina; Margana, Margana; Mukminatun, Siti; Aguilar Principe, Regine; Yingfan, Miao
Script Journal: Journal of Linguistics and English Teaching Vol. 9 No. 2 (2024): October
Publisher : Teacher Training and Education Faculty, Widya Gama Mahakam Samarinda University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24903/sj.v9i2.1845

Background: In the context of 21st-century learning, effective engagement of students and accommodation of many learning styles depend on brain-based learning (BBL). This approach improves understanding, memory, and adaptability by matching instruction with cognitive science and educational needs. Therefore, BBL emphasizes matching teaching approaches to how the brain processes and remembers information, which improves language acquisition, as teaching English entails employing tactics that address cognitive skills such as memory, attention, and motivation. Methodology: This quantitative study involved 50 English teachers in Yogyakarta, Indonesia, aim to reveal the teachers’ needs to teach English using BBL in this 21st-century era. The instrument of data collection was a questionnaire designed using the 5-Likert Scale that was interpreted using mean scores for each statement.Findings: The finding of this study revealed teachers need BBL in applying teaching scenarios, as well as the BBL represents Project-Based learning supported by audiovisual and critical thinking integration during the learning process. All those components are fitted with the characteristics of the balance of the right and left-brain sides.Conclusion: It is deemed essential since it directly affects the instructors' ability to effectively nurture student engagement and achievement, and the teachers should be consulted regarding the need for BBL. Incorporating educators into this conversation also guarantees that the tactics used are realistic and adapted to actual classroom situations. The knowledge and expertise of educators are crucial for improving brain-based learning strategies.Originality: This study can be a pioneer in exploring more opportunities for the needs of BBL and its relationship with learning success. Moreover, knowing brain balance contributes to a more inclusive and effective learning environment by accommodating different learning styles and boosting overall student well-being and academic achievement.

OPINION MINING TERHADAP PENANGANAN ROHINGYA DI PROVINSI ACEH MENGGUNAKAN NAÏVE BAYES PADA MEDIA SOSIAL TWITTER Yuliawati, Yuliawati; Sulistyowati, Nina; Siska, Siska
Jurnal Informatika dan Teknik Elektro Terapan Vol. 12 No. 3 (2024)
Publisher : Universitas Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/jitet.v12i3.4990

Asia Tenggara dikenal dengan kekayaan budaya dan etnis yang beragam, namun kerap menghadapi konflik dan intoleransi antarkelompok. Kasus Rohingya menyoroti dampak negatif dari perbedaan ini, sering dibahas di platform Twitter. Untuk mengidentifikasi gambaran tentang penanganan Rohingya di Aceh, penelitian ini menggunakan metode KDD (Knowledge Discovery in Database). Proses ini mencakup seleksi, preprocessing, transformasi, data mining, dan evaluasi. Studi ini menunjukkan bahwa skenario 90:10 dengan pelabelan Inset Lexicon dan SMOTE menghasilkan akurasi model yang meningkat dari 80% menjadi 83%, dengan presisi 88%, recall 76%, dan f-measure 81%. Penggunaan Naïve Bayes untuk menganalisis sentimen dari 2.584 tweet Twitter menunjukkan hasil yang menjanjikan. Rekomendasi untuk penelitian mendatang mencakup pengumpulan data yang lebih luas dan pertimbangan algoritma seperti Random Forest atau Support Vector Machine. Pemerintah perlu mengadopsi kebijakan inklusif untuk memfasilitasi integrasi Rohingya di Aceh, sementara UNHCR harus meningkatkan advokasi dan kerjasama dengan pemerintah serta meningkatkan kesadaran masyarakat tentang integrasi pengungsi.

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