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Analisis Terhadap Tagar #LGBT di Twitter Menggunakan Analisis Jaringan Sosial (SNA) Erwianta Gustial Radjah; Ade Iriani; Daniel H.F. Manongga
JURNAL MEDIA INFORMATIKA BUDIDARMA Vol 7, No 1 (2023): Januari 2023
Publisher : Universitas Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/mib.v7i1.5476

Abstract

Twitter is utilized to express opinions and respond to social phenomena in real life. Responses to events through Twitter conversations are relatively fast and create popular topics. Popular topics using hashtags are often used to attract, invite and influence other users to respond as well. In May 2022, the hashtag "#LGBT" was widely discussed, which was due to the invitation of a gay couple to attend a podcast by Youtuber Deddy Corbuzier. This resulted in a decrease in Deddy Corbuzier's subscribers and the blocking of one of the TikTok accounts of a gay couple. This study aims to analyze opinions on social media that influence the decisions of other social media users. Negative impacts on content creators and affects the real-life community of religious Indonesians. An analysis of network structure, group, and actors involved was conducted using Social Network Analysis to detect and study the opinions that occurred. Network structure mapping of Density, Diameter, and Reciprocity. Group detection using Modularity and Centrality to identify influential actors. Crawling Dataset of 10,000 tweets with 7,761 nodes (actors) and 8,371 edges. The results of the network structure research showed the farthest distance to reach other accounts is 18 (Diameter), the low-Density value is 0.000164 and the low Reciprocity value between accounts is 0.049480. The results of the research show that the value of the group formed is relatively high, 0.868000. Centrality identification shows @brn as the account with the most connections of 287 and @sop as the account with the highest intermediary among other accounts at 0.000303, and @aiy as the account with the closest distance to other nodes at 1.0. Based on the quality of the node to other nodes, @brn is the highest at 1.0
Pelatihan Calon Kepala Sekolah Berbasis Moda Daring Yayasan Pendidikan Kristen Kota Salatiga Marinu Waruwu; Yari Dwikurnaningsih; Wasitohadi Wasitohadi; Bambang Ismanto; Ade Iriani; Sophia Tri Satyawati
Magistrorum et Scholarium: Jurnal Pengabdian Masyarakat Vol 2 No 1 (2021)
Publisher : Universitas Kristen Satya Wacana Salatiga

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (633.008 KB) | DOI: 10.24246/jms.v2i12021p27-38

Abstract

Community service activities are carried out at the Central Christian Education Institution, Salatiga City. The objective of this activity is to prepare teachers who are selected as prospective principals to understand the concept and implementation of school principal competency standards in the fields of managerial, supervision, and entrepreneurship. Activities are held in the form of online mode-based training. The school development plan is the final product of this training activity. This activity is expected to create prospective school leaders of the Central Christian Education Institution Salatiga who can improve the quality of education through their leadership, creativity, and innovation qualities. The results of this community service activity can improve managerial competence, supervision, and entrepreneurship for prospective principals of the Christian Education Institution Salatiga.
Pemberdayaan Kepala Sekolah dan Guru dalam Mengimplementasikan Program Sekolah Penggerak dan Merdeka Belajar Marinu Waruwu; Yari Dwikurnaningsih; Bambang Ismanto; Ade Iriani; Sophia Tri Satyawati; Wasitohadi Wasitohadi
Magistrorum et Scholarium: Jurnal Pengabdian Masyarakat Vol 2 No 3 (2022)
Publisher : Universitas Kristen Satya Wacana Salatiga

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (667.619 KB)

Abstract

Community service activities are carried out for school principals and teachers of Kindergarten, Elementary, Middle and High Schools in the city of Salatiga, Semarang Regency, Ambarawa, Boyolali, Nias Islands, Sulawesi, Maluku, Papua and East Nusa Tenggara. This activity aims to equip school principals and teachers in understanding the concepts and practices of implementing the activator school program and free learning curriculum. Activities carried out in the form of online webinars with lecture and discussion methods. The results of community service show that the satisfaction level of participants in the first stage was at a percentage of 93%, in the very satisfactory category, and the satisfaction level of participants in the second stage was at a percentage of 91%, in the very satisfactory category. This shows that the implementation of community service has an impact on increasing participants' knowledge in implementing the activator school program and the independent learning curriculum.
Analysis Sentiment On Airline Customer Saisfaction Using Reccurent Neural Network Astriyer J. Nahumury; Danny Manongga; Ade Iriani
Eduvest - Journal of Universal Studies Vol. 2 No. 10 (2022): Journal Eduvest - Journal of Universal Studies
Publisher : Green Publisher Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (299.157 KB) | DOI: 10.59188/eduvest.v2i10.594

Abstract

When talking about customer satisfaction, Twitter as a large and great media could be used to get sentiment or opinion on a product and service of a business. The sentiment will be in a form of tweet that was posted on Twitter that referred to hot debated issues subjectively. The tweet data then will be processed using machine learning to analyze the sentiment of a certain topic. This study aimed to analyze the sentiment of Indonesian public on one of the Indonesian airlines using Deep Learning, Recurrent Neural Network (RNN) method based on the training for Long Short-Term Memory (LSTM), validation and prediction. The tweet will be selected in the span of three years (2017-2020) through the triangulation sentence sentiment process. The LSTM model gives a result of 98.5% accuracy and 92.2% validation accuracy in the data training. Whereas, the LSTM model’s data testing gives a result of 56.5% negative sentiment higher than the positive and neutral sentiment. It could be assumed that the factors which affect the negative sentiment could be used as an input to improve any business process
Evaluasi Program Parenting dengan Model Goal Free Susilawati Susilawati; Ade Iriani
Jurnal Obsesi : Jurnal Pendidikan Anak Usia Dini Vol 7, No 3 (2023)
Publisher : LPPM Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/obsesi.v7i3.4245

Abstract

Penelitian ini bertujuan untuk mengevaluasi program parenting di PAUD dengan menggunakan model goal free evaluation.  Penelitian ini adalah penelitian deskriptif kualitatif. Teknik pengumpulan data menggunakan wawancara terhadap satu orang pengelola PAUD, satu orang tutor dan satu orang ketua parents support group (PSG), observasi dan dokumentasi. Uji validitas data dilakukan dengan triangulasi teknik dan triangulasi sumber. Hasil penelitian menunjukkan bahwa perencanaan, pelaksanaan dan evaluasi program parenting telah sesuai dengan pedoman PAUD berbasis keluarga tahun 2012. Dampak positif yang muncul yaitu orang tua dapat mendampingi proses belajar anak, mengarahkan anak untuk melakukan pembiasaan positif, memasak makanan sehat untuk anak berkebutuhan khusus dan merangsang aspek sensori anak, sedangkan dampak sampingan positif yaitu sesama orang tua menjalin pertemanan dan saling menguatkan, namun disisi lain dampak negatif yang menjadi kendala yaitu orang tua tidak punya cukup waktu mendampingi proses belajar anak karena bekerja, tidak konsisten dan tidak sabar serta belum memahami tentang sensori integrasi. Adapun faktor yang mendorong munculnya dampak tersebut adalah pola asuh orang tua.
Triangular Fuzzy Numbers-Based MADM for Selecting Pregnant Mothers at Risk of Stunting Wiwien Hadikurniawati; Kristoko Dwi Hartomo; Irwan Sembiring; Hindriyanto Dwi Purnomo; Ade Iriani
Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Vol 7 No 3 (2023): Juni 2023
Publisher : Ikatan Ahli Informatika Indonesia (IAII)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29207/resti.v7i3.4966

Abstract

Stunting is caused by a lack of proper nutrition before and after birth. This research paper identifies and measures the risk of stunting during pregnancy and make recommendations for ranking pregnant women at risk. These aims to provide appropriate treatment and action to reduce mothers giving birth to children at risk of stunting. To make the optimal choice, the selection procedure for pregnant women at risk of giving birth to stunted children considers a variety of factors, including maternal age, maternal nutrition, arms circumference, hemoglobin, parity, birth interval, height, baby weight, and body mass index (BMI). Decision-maker’s expectation to reduce uncertainty and imprecision are represented linguistically by triangular fuzzy numbers. The triangular fuzzy numbers arithmetic approach is used to determine the selection process output. The ranking is determined from the alternative with the most parameter values to the alternative with the fewest parameters. Based on the results of the calculation, it was determined that PM (Pregnant Mother) had the highest score and was ranked first. That pregnant mother was declared as pregnant mother who had the lowest risk of giving birth to stunted baby
Analisis Sentimen Ulasan Aplikasi Tripadvisor Dengan Metode Support Vector Machine, K-Nearest Neighbor, Dan Naive Bayes Antonius Mbay Ndapamuri; Danny Manongga; Ade Iriani
Jurnal Inovtek Polbeng Seri Informatika Vol 8, No 1 (2023)
Publisher : P3M Politeknik Negeri Bengkalis

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35314/isi.v8i1.3260

Abstract

Penelitian ini bertujuan untuk mengklasifikasikan review pada aplikasi Tripadvisor yang terdapat pada Google Playstore berbasis Word Cloud dan Visual Network Explorer dengan algoritma Support Vector Machine (SVM), K-Nearest Neighbor (K-NN), dan Naïve Bayes. Tahapan penelitian dimulai dengan pengumpulan data sebanyak 1.000 data yang diperoleh dengan menggunakan teknik Web Scraping, kemudian tahap Preprocessing data dan dilanjutkan dengan model klasifikasi menggunakan SVM, K-NN, dan Naïve Bayes. Berikutnya evaluasi model dengan hasil SVM memperoleh akurasi tebaik 89,8%. Tahap terakhir analisis visual menggunakan Visual Word Cloud dan Visual Network Explorer untuk mendapatkan informasi keputusan pengguna dalam memberikan Review positif dan negatif. Keluhan yang sering muncul seperti aplikasi jelek, aplikasi lumayan, hapus aplikasi, aplikasi error, aplikasinya tolong diperbaiki, aplikasi membuat hp jadi lemot karna sering update. Untuk mengatasi masalah tersebut diharapkan pihak aplikasi Tripadvisor agar lebih meningkatkan kinerja aplikasi dengan melakukan update dari segi penggunaan aplikasi agar mengatasi masalah yang dialami para pengguna.
The Effectiveness of Neuroscience to Improve Teacher Pedagogic Competence: Systematic Literature Review Ana Maria Heni; Ade Iriani; Bambang Ismanto
Jurnal Pendidikan Indonesia Vol 12 No 2 (2023): June
Publisher : Lembaga Penelitian dan Pengabdian kepada Masyarakat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23887/jpiundiksha.v12i2.61438

Abstract

Teaching is a profession, so it is required to be professional. The meaning is that the teacher must have a special quality that has been determined. Even so, it cannot be denied that there are still many teachers who do not meet these qualifications. Therefore, teachers need to improve their quality or competence by participating in neuroscience training. The purpose of this study was to analyze neuroscience education training can improve teacher competence, especially pedagogical competence. This type of research is SLR. The data in this study are from both international and national journals. The results of this study say that: neuroscience training can help teachers understand the characteristics of students in various aspects. By understanding neuroscience, teachers become masters of learning theory and educational principles of learning. By understanding neuroscience, teachers become able to facilitate the development of student's potential. Based on these results, it can be concluded that neuroscience education training can improve teacher pedagogical competence.
Implementasi Appreciative Inquiry dalam Perencanaan Strategis untuk Meningkatkan Mutu Pendidikan Sekolah Dasar Destin Ricardo Lase; Ade Iriani; Marinu Waruwu
ELEMENTARY SCHOOL JOURNAL PGSD FIP UNIMED Vol 13, No 2 (2023): ELEMENTARY SCHOOL JOURNAL PGSD FIP UNIMED
Publisher : FIP Unimed

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24114/esjpgsd.v13i2.44318

Abstract

Peningkatan mutu sekolah perlu perencanaan strategis. Penelitian ini bertujuan untuk mengimplementasikan Appreciative Inquiry dalam perencanaan strategis untuk meningkatkan mutu pendidikan pada Sekolah Dasar. Subjek penelitian adalah kepala sekolah, para guru dan pengurus Yayasan. Pengumpulan data melalui observasi, wawancara, Focus Group Discussion (FGD) dan studi dokumen. Analisis data menggunakan model Miles dan Huberman yang terdiri dari: reduksi data, penyajian data, triangulasi sumber, serta penarikan kesimpulan. Hasil penelitian: 1) Perencanaaan strategis memiliki peran penting dalam memberi arah dan petunjuk untuk mencapai visi dan misi sekolah; 2) Implementasi Appreciative Inquiry memberi paradigma baru dalam penyusunan strategi berdasarkan potensi, kekuatan serta sumber daya yang ada untuk meraih masa depan yang lebih baik; 3) Appreciative Inquiry mendorong setiap individu untuk berkontribusi pada organisasinya sesuai dengan sumber daya manusia yang memiliki.Keywords: Appreciative Inquiry, Perencanaan Strategis, Mutu Sekolah
Evaluasi Kinerja Guru Bersertifikasi Dengan Model Charlotte Danielson Wara Hapsari Oktriany; Bambang Suteng Sulasmono; Ade Iriani
Kelola: Jurnal Manajemen Pendidikan Vol. 5 No. 1 (2018)
Publisher : Universitas Kristen Satya Wacana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24246/j.jk.2018.v5.i1.p24-36

Abstract

This study aims to evaluate the performance of certified teachers in SMP Negeri 3 Salatiga in the domain: (1) planning and preparation of learning, (2) class management, (3) learning process, and (4) professional teacher responsibility. This research is an evaluative research using Charlotte Danielson Model, with simple qualitative and quantitative method. The subjects were five teachers of SMP Negeri 3 Salatiga who have been certified educators. Data collection through interviews, observation, and document study. Moderate data collection instruments include teacher performance assessment rubric, interview guides, and questionnaires. The data validity test is done by source and technique triangulation. The results of this study: (1) the certified teacher performance in preparing and planning of learning is included in the good category, (2) the certified teacher performance in managing the classes included in the good category; (3) the certified teacher performance in the learning process included in either category, and (4) the certified teacher performance in their professional responsibilities is categorized as good enough, due to the lack of teachers' efforts to develop themselves.
Co-Authors Adi Kristianto Adrisal Kaliongga Alfonrianus Bali Ana Maria Heni Antar Maramba Jawa Anthony Anthony Antonius Mbay Ndapamuri Arny Lattu Astriyer J. Nahumury Bambang Ismanto Bambang Suteng Sulasmono Basuki Budiyatmo Basuki Wibowo, Arif Brigitta Putri Atika Tyagita, Brigitta Putri Atika Budhi Kristianto Daniel Kurniawan Daniel Kurniawan Danny Manongga Dedy Prasetya Kristiadi Dendy Kurniawan Destin Ricardo Lase Destin Ricardo Lase Devi Kurniawati, Agatha Ratna Djari, Maria Cristiana Yuliyanti Dwi Hosanna Bangkalang Dwikuraningsih, Yari Edi Suharyadi Eko Nur Hermansyah Eko Sediyono Ela, Anastasia Elfira Umar Elsy Senides Hana Taunu Elvis Fernando Tarantein Erfy Melany Lalupanda Ervitasari, Aning Erwianta Gustial Radjah Eskris, Yosiana Esther Yuli Ekawati Evangs Mailoa Florentina Tatrin Kurniati Getsi Novalin Takain Grace Kartika Ratih Hadi, Wasito Hendrawati, Ririn Hendry Hendry, - Heni Prasetyowati Heni Prasetyowati Hennie Tuhuteru Hindriyanto Dwi Purnomo Irwan Sembiring Johan Jimmy Carter Tambotoh Joko Listiawan Sukowati Jonas, Dendy Julians, Adhe Ronny Kristoko Dwi Hartomo Kusumajaya, Robby Andika Laksamana Rajendra Haidar Latupeirissa, Ariyanto Laurentia Prabaniardi Kartikasari Lelatobur, Lovely Ezverenzha Lukman Santoso M Munifah Mangoki, Willson Manongga, Daniel Herman Ferdy Marinu Waruwu Marsye Ruth Hendria Pasanea Martza Merry Swastikasari Mawardi Merryana Lestari Miranda, Pedro da Costa Muhammad Sidik Mutia Ayu Krismanda, Mutia Ayu Nanle, Zeze Nikhlis, Neilin Nina Setiyawati Ninda Lutfiani Noni Melisa Pebrioni Nurtino, Tio Oktriany, Wara Hapsari Paais, Reinhard Leonardo Palupi, Ester Sekar Parera, Stasia Veronica Penidas Fiodinggo Tanaem Penidas Fodinggo Tanaem Perdana, Eric Megah Plenden, Di Ohanes Richi Christian Priatna , Wowon Purnama Harahap, Eka Qurotul Aini Radjulan, Juins Carlo Rahmat Dhoni Wiryatmo Rimes Jopmorestho Malioy Ririn Hendrawati Sasadara Wahyu Lukitasari, Sasadara Wahyu Septian, Rafly Ananda Dwi Setyo Budi Utomo Shendi Kharisma Widiastuti Sidik, Muhammad Sophia Tri Satyawati Sri Yulianto Steiven Orland Ngongira Stephen Aprius Sutresno, Stephen Aprius Suharyadi Susilawati Susilawati Sutarto Wijono Swastikasari, Martza Merry Syefudin Syefudin Theopillus J. H. Wellem Tomasoa, Lyonly Tommy Prasetyo, Dewantoro Tri Wahyuningsih Tria Citra Listiani Mukti Triwiyanto, Wahyudi Uly, Novem Untung Rahardja Valentino Kevin Sitanayah Que Victor Peter Lodewyk Duan Vieira, Driellen Wara Hapsari Oktriany Wardani, Mawaroh Ken Wardoyono, Hengky Wasitohadi Wasitohadi - Watunwotuk, Alfian Widhiardanti, Rosalia Meita Wijaya, Franke Wilhelmus Werong Wiwien Hadikurniawati Wulandari, Mega Retno Yari Dwikurnaningsih Yessica Nataliani Yohnes Madawara, Herdin Yoseb Sudarso Bunbaban Yulianto, Sri