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All Journal Teknika Elkom: Jurnal Elektronika dan Komputer PIKSEL : Penelitian Ilmu Komputer Sistem Embedded and Logic Jurnal Edukasi dan Penelitian Informatika (JEPIN) Jurnal Informatika dan Teknik Elektro Terapan Elkawnie JURNAL PENGABDIAN KEPADA MASYARAKAT Sistemasi: Jurnal Sistem Informasi MODELING: Jurnal Program Studi PGMI Indonesian Journal of Artificial Intelligence and Data Mining MATRIK : Jurnal Manajemen, Teknik Informatika, dan Rekayasa Komputer NUSANTARA : Jurnal Ilmu Pengetahuan Sosial ALGORITMA : JURNAL ILMU KOMPUTER DAN INFORMATIKA Jurnal Teknologi Sistem Informasi dan Aplikasi J-SAKTI (Jurnal Sains Komputer dan Informatika) IJISTECH (International Journal Of Information System & Technology) JURIKOM (Jurnal Riset Komputer) JOURNAL OF SCIENCE AND SOCIAL RESEARCH Sang Pencerah: Jurnal Ilmiah Universitas Muhammadiyah Buton An Nadwah Jurnal Mantik JISKa (Jurnal Informatika Sunan Kalijaga) Journal of Information Systems and Informatics MUKADIMAH: Jurnal Pendidikan, Sejarah, dan Ilmu-ilmu Sosial Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi) JSR : Jaringan Sistem Informasi Robotik Jurnal Teknik Informatika C.I.T. Medicom Journal of Computer System and Informatics (JoSYC) INFOKUM Jurnal khabar: Komunikasi dan Penyiaran Islam Brahmana : Jurnal Penerapan Kecerdasan Buatan IJISTECH JINAV: Journal of Information and Visualization Jurnal FASILKOM (teknologi inFormASi dan ILmu KOMputer) Walisongo Journal of Information Technology Euler : Jurnal Ilmiah Matematika, Sains dan Teknologi Jurnal Indonesia : Manajemen Informatika dan Komunikasi Journal La Multiapp Jurnal Teknologi Sistem Informasi dan Sistem Komputer TGD KLIK: Kajian Ilmiah Informatika dan Komputer Multidiciplinary Output Research for Actual and International Issue (Morfai Journal) Syiar: Jurnal Komunikasi dan Penyiaran Islam Journal of Dinda : Data Science, Information Technology, and Data Analytics Journal of Communication Studies Jurnal Ilmiah Sistem Informasi dan Teknik Informatika (JISTI) Data Sciences Indonesia (DSI) DEVICE : JOURNAL OF INFORMATION SYSTEM, COMPUTER SCIENCE AND INFORMATION TECHNOLOGY QISTINA: Jurnal Multidisiplin Indonesia Jurnal Mahasiswa Ilmu Komputer Eduvest - Journal of Universal Studies Electronic Journal of Education, Social Economics and Technology Innovative: Journal Of Social Science Research The Indonesian Journal of Computer Science Mars: Jurnal Teknik Mesin, Industri, Elektro dan Ilmu Komputer INOVTEK Polbeng - Seri Informatika Cendekia: Media Komunikasi Penelitian dan Pengembangan Pendidikan Islam TEKNOSAINS: Jurnal Sains, Teknologi dan Informatika WASILATUNA: JURNAL KOMUNIKASI DAN PENYIARAN ISLAM
Sriani Sriani
Univeritas Islam Negeri Sumatera Utara
Religion Aerospace Engineering Agriculture, Biological Sciences & Forestry Arts Humanities Automotive Engineering Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Mathematics Neuroscience Nursing Physics Public Health Social Sciences Veterinary Other

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Analisis Gestur Tubuh Mahasiswa Universitas Islam Negeri Sumatera Utara dalam Kelas Virtual Perspektif Teori Komunikasi Nonverbal Ade Nurlita; Irma Yusriani Simamora
MUKADIMAH: Jurnal Pendidikan, Sejarah, dan Ilmu-ilmu Sosial Vol 10, No 1 (2026)
Publisher : Prodi Pendidikan Sejarah Fakultas Keguruan dan Ilmu Pendidikan Universitas Islam Sumatera

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30743/mkd.v10i1.12941

Abstract

This study examines the body gestures of students at Universitas Islam Negeri Sumatera Utara in virtual classrooms, lecturers’ responses to these gestures, and the meanings implied in students’ nonverbal behavior from a theoretical perspective. The research addresses how nonverbal communication shapes engagement in post-pandemic online learning environments. Using a qualitative descriptive approach, data were collected through observation of student interactions via the Zoom platform and analyzed using George Kelly’s gesture theory and Vijai Kumar’s gesture theory. The findings indicate that students’ gestures are predominantly adaptive (adaptors) rather than illustrative or regulatory, reflecting intrapersonal psychological states such as confusion, boredom, hesitation, or cognitive processing. These gestures often create ambiguity due to limited verbal clarification. The study argues that Kumar’s framework is more applicable for assessing real-time student engagement, while Kelly’s theory provides deeper insight into students’ cognitive construction of learning experiences. The results highlight that weak nonverbal interaction contributes to reduced effectiveness of online learning, suggesting the need for lecturers to incorporate awareness of gesture theory and nonverbal communication strategies to foster meaningful virtual classroom engagement.
Fuzzy Time Series and Data Visualization for Forecasting Sales of Grocery Ingredients Rahmat Zulfikar Nasution; Sriani Sriani
PIKSEL : Penelitian Ilmu Komputer Sistem Embedded and Logic Vol. 11 No. 2 (2023): September 2023
Publisher : LPPM Universitas Islam 45 Bekasi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33558/piksel.v11i2.7383

Abstract

The development of information technology is currently increasingly rapid and produces very large amounts of data. Grocery store or also commonly known as UD. Ridho has several problems in determining the availability of basic food ingredients and the amount of demand for goods is uncertain, which means that grocery stores often experience shortages of supplies and/or excess supplies of basic food supplies at certain times. The forecasting method that will be used in this research is Fuzzy Time Series (FTS) with the aim of overcoming this problem by estimating sales of goods (basic necessities) at UD. Ridho in Dolok Masihul. The results obtained are a system that was built to predict sales of basic food ingredients at UD. Ridho in Dolok Masihul is suitable for use so it is hoped that it can help UD owners. Ridho in determining the amount of basic food supplies in the future correctly so that UD. Ridho did not experience any losses or reduced income.
Strategi Media Cetak Dalam Mempertahankan Eksistensi Surat Kabar Di Era Digital: Studi Komparatif Harian Analisa, Harian Waspada, Dan Harian Sumut Pos Siti Asyaroh; Irma Yusriani Simamora
Jurnal Khabar: Komunikasi dan Penyiaran Islam Vol. 7 No. 1 (2025): Juni
Publisher : STAI Bumi Silampari

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37092/khabar.v7i1.1206

Abstract

The development of technology, especially the internet, has made it easier to access information quickly. The internet is the main means to find all needs, both primary, secondary, and tertiary. Through websites, news apps, and social media, people can get information in seconds, allowing them to stay up-to-date with the latest developments in various fields. The shift in access to information from print to online media has occurred along with the advancement of digital technology, making people prefer information that is fast, practical, and easily accessible through the internet. This phenomenon is a challenge for print media in maintaining their existence, especially in producing newspapers. The decline in the number of prints continues to be experienced by various print media. Therefore, print media massively creates strategies to survive in the era of digitalization, starting from convergence, content innovation, managing advertising strategies, to distribution. This research is a comparative study between the media of Analisa Daily, Waspada Daily, and Sumut Pos Daily using qualitative methods. Data collection uses interview, observation, and documentation techniques.
Design Of Fire Early Detection System Using Microcontroller As Smoke And Sprinkle Detection Using Fuzzy Mamdani Logic Method Tengku Falih Diny Nurfikri; Sriani Sriani
Eduvest - Journal of Universal Studies Vol. 4 No. 8 (2024): Journal Eduvest - Journal of Universal Studies
Publisher : Green Publisher Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59188/eduvest.v4i8.1783

Abstract

This research presents the design of a fire early detection system utilizing a microcontroller integrated with Mamdani fuzzy logic. The system employs multiple sensors, including temperature, gas, and infrared sensors, to detect fires by analyzing the temperature, gas concentration, and fire distance. The microcontroller serves as the core processor that controls the sensors and triggers responses, such as alarms and sprinkler activation, based on fuzzy logic-based decision-making. Fuzzy logic enhances the system's adaptability to different fire severity levels, improving response accuracy. The system successfully detects potential fires, controls the sprinkler system automatically, and is shown to improve fire prevention in various environments. Testing results indicate that the system can effectively identify fire hazards and minimize damage by responding appropriately to various fire scenarios. This research provides a foundation for developing smarter and more efficient fire safety systems.
Sentiment analysis on twitter about the death penalty using the support vector machine method Sriani; Aidil Halim Lubis; Lia Putri Ashari Lubis
TEKNOSAINS : Jurnal Sains, Teknologi dan Informatika Vol 11 No 2 (2024): TEKNOSAINS: Jurnal Sains, Teknologi dan Informatika
Publisher : LPPMPK- Universitas Muhammadiyah Cileungsi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37373/tekno.v11i2.1096

Abstract

It is estimated that 175 million people in Indonesia utilize the Internet, according to the most recent We Are Social survey. 160 million of them are internet users who utilize social media, according to this data. It is estimated that 19.5 million Indonesians use Twitter. This is consistent with the numerous tweets that users have posted on Twitter about a variety of topics, including politics, music, health, and education. The death penalty is still one of the most popular subjects that is addressed on Twitter. When a judge rules that someone will be executed as retribution for a crime they have committed, this is referred to as the death penalty. As a result, sentiment analysis utilizing the Support Vector Machine technique with linear kernel features and Python programming was used to study public opinions on the death sentence. To improve the accuracy of the results obtained, data labeling on 848 data that were received through the scraping process was done manually in this study. Positive data is categorized as belonging to the class that supports the death sentence, while negative data is categorized as belonging to the class that opposes it. The study that was done shows an 8:2 difference between the training and test data. After preprocessing a dataset containing 758 data points, of which 606 will be utilized for training and 152 for testing, we obtain 91% accuracy, 91% precision, 100% recall, and 95% f1-score
The Effectiveness of UN Women Indonesia's Instagram Account in Shaping Opinions on Gender Equality elvira zahra; Irma Yusriani Simamora
Journal of Communication Studies Vol. 5 No. 2 (2025): JCS: Journal of Communication Studies
Publisher : Program Studi Komunikasi dan Penyiaran Islam, Fakultas Dakwah, Institut Agama Islam Sunan Giri Ponorogo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37680/jcs.v5i2.8677

Abstract

This study aims to analyze the effectiveness of the UN Women Indonesia Instagram account in shaping opinions on gender equality. The research method used is quantitative with data collection through a questionnaire distributed to respondents. The research sample consisted of social media users who follow the @unwomenindonesia account. The results showed that 65% of respondents strongly agreed and 35% agreed that the media plays an important role in shaping public perception. No respondents said they disagreed or strongly disagreed. This finding is in line with agenda setting theory, which explains that consistent exposure to content can influence attention and shape long-term perceptions. The UN Women Indonesia Instagram account has proven effective in raising gender equality issues through posts containing persuasive messages. This research is in line with previous studies that confirm that social media, especially Instagram, plays a role as an information channel and an agent of social change that can increase public awareness .
ETIKA JURNALISME DALAM KONTEKS MEDIA MASSA Irma Yusriani Simamora; Nurfadila Nurfadila
NUSANTARA : Jurnal Ilmu Pengetahuan Sosial Vol 13, No 3 (2026): NUSANTARA : JURNAL ILMU PENGETAHUAN SOSIAL
Publisher : Universitas Muhammadiyah Tapanuli Selatan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31604/jips.v13i3.2026.881-891

Abstract

Di tengah perkembangan teknologi dan arus informasi yang semakin cepat, media massa dituntut untuk tetap berpegang pada prinsip-prinsip etika seperti kebenaran, objektivitas, akurasi, independensi, serta tanggung jawab sosial. Oleh karena itu, Penelitian ini bertujuan untuk mengkaji etika jurnalisme dalam konteks media massa. Penelitian ini menggunakan pendekatan kualitatif deskriptif, dengan metode studi pustaka serta analisis isi terhadap beberapa media daring nasional. Melalui pendekatan ini, peneliti menganalisis berbagai praktik pemberitaan dan kesesuaiannya dengan kode etik jurnalistik. Hasil penelitian menunjukkan bahwa penerapan etika jurnalisme masih menghadapi berbagai tantangan, seperti tekanan ekonomi, kepentingan politik, serta maraknya penyebaran informasi yang tidak terverifikasi. Selain itu, fenomena disinformasi dan sensasionalisme turut mempengaruhi integritas media dalam menyajikan berita. Oleh karena itu, diperlukan komitmen yang kuat dari insan pers untuk menjunjung tinggi kode etik jurnalistik serta meningkatkan literasi media di kalangan masyarakat. Penelitian ini diharapkan dapat memberikan kontribusi dalam memperkuat kesadaran akan pentingnya etika jurnalisme guna menciptakan media massa yang profesional, terpercaya, dan berorientasi pada kepentingan publik
Analisis Gestur Tubuh Mahasiswa Universitas Islam Negeri Sumatera Utara dalam Kelas Virtual Perspektif Teori Komunikasi Nonverbal Ade Nurlita; Irma Yusriani Simamora
MUKADIMAH: Jurnal Pendidikan, Sejarah, dan Ilmu-ilmu Sosial Vol 10, No 1 (2026)
Publisher : Prodi Pendidikan Sejarah Fakultas Keguruan dan Ilmu Pendidikan Universitas Islam Sumatera

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30743/mkd.v10i1.12941

Abstract

This study examines the body gestures of students at Universitas Islam Negeri Sumatera Utara in virtual classrooms, lecturers’ responses to these gestures, and the meanings implied in students’ nonverbal behavior from a theoretical perspective. The research addresses how nonverbal communication shapes engagement in post-pandemic online learning environments. Using a qualitative descriptive approach, data were collected through observation of student interactions via the Zoom platform and analyzed using George Kelly’s gesture theory and Vijai Kumar’s gesture theory. The findings indicate that students’ gestures are predominantly adaptive (adaptors) rather than illustrative or regulatory, reflecting intrapersonal psychological states such as confusion, boredom, hesitation, or cognitive processing. These gestures often create ambiguity due to limited verbal clarification. The study argues that Kumar’s framework is more applicable for assessing real-time student engagement, while Kelly’s theory provides deeper insight into students’ cognitive construction of learning experiences. The results highlight that weak nonverbal interaction contributes to reduced effectiveness of online learning, suggesting the need for lecturers to incorporate awareness of gesture theory and nonverbal communication strategies to foster meaningful virtual classroom engagement.
Analisis Sentimen Masyarakat Indonesia terhadap Keterlibatan Bill Gates dalam Program Vaksin TBC di Media Sosial X Menggunakan SVM Fakhita Fahraini; Sriani Sriani
JURIKOM (Jurnal Riset Komputer) Vol. 13 No. 1 (2026): Februari 2026
Publisher : Universitas Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/jurikom.v13i1.9431

Abstract

The involvement of Bill Gates in the development program of the tuberculosis (TB) vaccine has generated diverse responses among the Indonesian public, particularly as expressed through social media platform X, making it an important issue to examine since public sentiment may influence public trust in health programs and the success of TB prevention efforts. This study aims to analyze public sentiment in Indonesia toward Bill Gates’ involvement in the TB vaccine program based on social media data from platform X using the Support Vector Machine (SVM) algorithm. The research data consist of 784 Indonesian-language tweets collected through web scraping techniques using keywords related to the TB vaccine issue and Bill Gates. The collected data then underwent several text preprocessing stages, including data cleaning, case folding, tokenization, word normalization, stopword removal, and stemming to improve text quality and consistency. Feature representation was performed using the Term Frequency–Inverse Document Frequency (TF-IDF) method, while the dataset was split into 80% training data and 20% testing data. The classification model was built using an SVM algorithm with a linear kernel to optimally separate positive and negative sentiment classes. The experimental results show that the SVM model combined with TF-IDF achieved an accuracy of 96.8%, with a precision of 98.3%, a recall of 79.2%, and an F1-score of 86.0%. Sentiment distribution analysis indicates that the majority of tweets were dominated by negative sentiment, while positive sentiment appeared in a smaller proportion. The main contribution of this study lies in the application of social media–based sentiment analysis specifically to the TB vaccine issue associated with a global public figure in the Indonesian context, as well as in demonstrating that the combination of SVM and TF-IDF is effective in accurately classifying public opinion. These findings are expected to serve as a data-driven reference for government institutions and public health stakeholders in designing more effective public communication strategies.
Prediction of Bank NEO Commerce Stock Prices Using a Multiple Linear Regression Algorithm Ulil Amri Harahap; Sriani
Journal of Innovation and Technology Polbeng Series on Informatics (INOVTEK Polbeng - Seri Informatika) Vol. 10 No. 3 (2025): November
Publisher : P3M Politeknik Negeri Bengkalis

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35314/dxpvea41

Abstract

This study addresses the challenge of forecasting Bank Neo Commerce (BBYB) daily prices, where volatility and data leakage often bias results. We build a leakage-free pipeline to predict next-day Adjusted Close using multiple linear regression (OLS) with t−1 predictor lags and technical indicators: AdjCloset−1​, AdjCloset−5, Volt−1​, SMA5t−1​, EMA5t−1​, and RSI 14t−1. Daily BBYB.JK data from Yahoo Finance (12 March 2019–12 March 2025) are evaluated with a 5-fold rolling time-series split, and metrics are reported as mean ± SD. The goal is to assess OLS accuracy and its practical value against a persistence baseline. OLS attains MAE 25.15 ± 18.24, MSE 2,344.41 ± 2,956.78, R² 0.94 ± 0.06, while the baseline AdjCloset−1 yields MAE 22.40 ± 17.21, MSE 1,894.99 ± 2,420.42, R² 0.96 ± 0.04. A walk-forward long-only backtest (0.1% fee) delivers a final value of 1.04 versus 0.72 for buy-and-hold, with lower volatility and drawdown. The approach is interpretable, reproducible, and ready for extensions (feature reduction/regularization, non-linear models, and return/volatility features)
Co-Authors Abdul Halim Hasugian adani, abdul harits Ade Nurlita Adi Hartono Adinda Tarisyah Hsb Aidil Halim Lubis Aidilia, Yunda Alfansori, Ahmad Alfioni Saragi Ali Akbar Siregar Ali Darta Alif Lailasari Saragih Ananda, Putri Rizky Armansyah Armansyah Aulia, Lailatul Husna Ayu Nabila, Ayu Azhari, Fajar Bimantara, M. Dhuha Daffa, Muhammad Dava Sindy Dea Syahfira Hasibuan Dirga Ayu Sulistia Elvira Zahra Fadhilah Andini Fadillah, hasti Fakhita Fahraini Fikril Hakim Firin, Ananda Sarbaini Harahap, Hotma Rizki Heri Santoso Himawan Hasibuan, Riswanda Ichsan Hsb, Munawir Siddik Ilham Fuadi Nasution Ilka Zufria Indah Eka Yulia Sari Indah Permata Sari Intan Zahira Jerri Pradana Sikumbang Joehari Azhar Juraidah Juraidah Khairuna Khairuna Khairuna Lia Putri Ashari Lubis Mafazi Ananda Hafiz Mazayah Tsaqofah Mhd Furqan Mhd Furqan Mhd Furqan Mhd. Liandra Setiawan Mhd. Syahnan Milla Rantika Muhammad Dary Daffa Haque Muhammad Husni Ritonga Muhammad Naufal Shidqi Muhammad Siddik Hasibuan Munadi Munadi Muntaja, Nadia Nasution, Saddam Ali Habibie Nia Zanah Nia Nugroho, Bagus Joyo Tirto Nurfadila Nurfadila Nurfebia, Karina Nurhasanah Tambunan Nurul Hayati Pandia, Nur Aisyah Panjaitan, Nurhalimah Purwaningtyas, Franindya Raditya, Muhammad Ezar Rafiqah, Intan Nur Rahmat Zulfikar Nasution Raissa Amanda Putri Rakhmat Kurniawan R Ramadani, Putri Ramadhan, Alfan Rashin Salsabila Ray Syam Piqri Aritonang Riki Hamdani Rima Aprilia Rina Filia Sari, Rina Filia Riris Silvia Tampubolon Ritonga, Azizah Oktarina Rizky Sundari TP. Bolon Rubiani, Endang Ruslan Padli Sabila Husna Lubis Siti Asyaroh Siti Rahmawati Soly Aryza Lubis Soly Aryza Lubis Sri Rahmadani Suci Ramadhani Suhardi, Suhardi Syahputra, Surya Tengku Falih Diny Nurfikri Tommi Ardiansyah Triase Triase Triase Triase Triase Ulil Amri Harahap Waju Indrian Wan Fadilla Rischa Widya Syaharani Wina Fadia Ardianti Yuli Kartika Siregar Yunda Aidilia Yunus Fadillah Harahap Zordy Andrean Sibarani Zuheri Lubis