Garuda - Garba Rujukan Digital

p-Index From 2021 - 2026

9.16

P-Index

This Author published in this journals

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 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) Jurnal Teknologi Informasi dan Terapan (J-TIT) 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 Journal of Dinda : Data Science, Information Technology, and Data Analytics Jurnal Ilmiah Sistem Informasi dan Teknik Informatika (JISTI) Al-Khidmah Jurnal Pengabdian Masyarakat 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 Cendekia: Media Komunikasi Penelitian dan Pengembangan Pendidikan Islam

Sriani Sriani

Univeritas Islam Negeri Sumatera Utara

Author-ID : 3432329

Religion Aerospace Engineering 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 Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Mathematics Neuroscience Nursing Physics Public Health Social Sciences Veterinary Other

Published : 80 Documents Claim Missing Document

Claim Missing Document

Articles

4 5 6 7 8

EVALUASI MODEL DATA WAREHOUSE UNTUK MENDUKUNG MANAJEMEN PENDIDIKAN DENGAN TAM Putri, Raissa Amanda; Sriani, Sriani
Algoritma: Jurnal Ilmu Komputer dan Informatika Vol 2, No 1 (2018): April 2018
Publisher : Universitas Islam Negeri Sumatera Utara

User acceptance is important in the software development process. The purpose of this paper is to evaluate a data warehouse model that can display all useful information that can support education management. The design results of this model will be evaluated using the Technology Acceptance Model (TAM) which describes the acceptance of information technology with certain dimensions that may affect the acceptance or not of information technology by the user. Methods of data collection using questionnaires distribution techniques, interviews and observation. The result of this research is evaluation of data warehouse model to support education management.Keywords: Model Evaluation, Data Warehouse, Education Management, Technology Acceptance Model

ANALISA SISTEM PENDUKUNG KEPUTUSAN MENGGUNAKAN METODE TOPSIS UNTUK SISTEM PENERIMAAN PEGAWAI PADA SMA AL WASHLIYAH TANJUNG MORAWA Sriani, Sriani; Putri, Raissa Amanda
Algoritma: Jurnal Ilmu Komputer dan Informatika Vol 2, No 1 (2018): April 2018
Publisher : Universitas Islam Negeri Sumatera Utara

Decision support system is a system that is able to solve problems efesian, effectively, which aims to help make decisions by choosing a variety of alternative decisions. With the software implemented hiring decision support system by using TOPSIS method to facilitate decision-making in SMA Al Washliyah Tanjung Morawa. The program used role in this system is Microsoft Visual Studio 2008 by using a MySQL database as the tools used for the testing process. The results of this program show that the progress of science and technology, each job can be more efficiently and effectively. The program is expected to provide a solution or settlement of the existing problems, thus adding to the treasury of the new science. Keywords:Decision support system, TOPSIS

Analisis Respons Netizen Terhadap Ujaran Kebencian Dalam Kolom Komentar Instagram Gibran Rakabuming Pada Masa Kontestasi Politik 2024 Fikril Hakim; Irma Yusriani Simamora
Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi) Vol 9 No 4 (2025): OCTOBER-DECEMBER 2025
Publisher : Lembaga Otonom Lembaga Informasi dan Riset Indonesia (KITA INFO dan RISET)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/jtik.v9i4.4502

This study aims to analyze netizens' responses to hate speech in the comments column of Gibran Rakabuming's Instagram account, Vice President of the Republic of Indonesia for the 2024–2029 period. The study used a content analysis method with a descriptive qualitative approach. Data were obtained from netizens' comments on Gibran's uploads from March to April 2025. The results of the study showed various types of hate speech, such as those motivated by politics, physical, psychological, racism, and age. The dominant forms of speech include insults, provocation, and blasphemy. Netizens' responses were divided into two: supporting and rejecting. Supporting responses appeared in the form of justification or sarcasm, while rejecting responses showed awareness of digital ethics and an invitation to respect each other. This study highlights the polarization of opinion in the digital space as well as the importance of digital literacy, social media ethics, and content moderation regulations to create healthy public communication.

Blood Pressure Monitoring System Using Mamdani Fuzzy Logic Method Based on Microcontroller Nurhasanah Tambunan; Sriani Sriani
Electronic Journal of Education, Social Economics and Technology Vol 6, No 2 (2025)
Publisher : SAINTIS Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33122/ejeset.v6i2.1105

Health is a vital aspect that must be continuously monitored, one of which is through blood pressure measurement. In general, blood pressure measurement is carried out using a manual sphygmomanometer that requires medical expertise, so the results are often not well documented. This study aims to design and implement a blood pressure monitoring system based on a microcontroller using the Mamdani fuzzy logic method. The system is developed by integrating a digital blood pressure sensor and a MAX30100 heart rate sensor connected to an Arduino Uno. The Mamdani fuzzy method is employed to classify the measurement results into three categories: hypotension, normal, and hypertension, based on systolic, diastolic, and heart rate (BPM) values. The system is also equipped with an LCD as a visual indicator to display the user’s health condition in real time, quickly, and informatively. Experimental results show that the system can operate properly, achieving an average error rate of 3.44% and an accuracy level of 96.28%. These findings indicate that the proposed monitoring system is sufficiently accurate, flexible in handling uncertain biological data, and has great potential to be developed as an initial screening tool for health conditions, particularly at home or in areas with limited access to medical facilities.

Design of a Fuzzy Mamdani Based Decision Support System for Fair Wage Determination of Palm Oil Workers Zuheri Lubis; Sriani Sriani
Electronic Journal of Education, Social Economics and Technology Vol 6, No 2 (2025)
Publisher : SAINTIS Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33122/ejeset.v6i2.1059

Wage determination in palm-oil plantations often relies on subjective assessments, which may lead to inconsistencies, unfair practices, and disputes between workers and management. To address this issue, this study proposes the application of the Fuzzy Mamdani method as a decision support system for determining plantation workers’ wages. The main objective is to design and implement a fuzzy-based model that provides fair and transparent wage recommendations by integrating multiple worker performance criteria. The research was conducted at PT CSIL with a sample of 45 workers. Four key variables length of service, attendance, overtime, and work performance were formulated into linguistic variables with triangular membership functions. A fuzzy rule base, developed in collaboration with domain experts, was used to perform Mamdani inference with centroid defuzzification. Data were obtained from company records and validated using comparisons with the actual wage distribution determined by the payroll department. The results show that the system recommendations were consistent with the company’s wage decisions for 40 out of 45 workers, representing an agreement rate of 88.9%. This demonstrates that the Fuzzy Mamdani method can effectively reduce subjectivity and improve fairness in wage determination. In conclusion, the proposed system provides a reliable tool to support payroll decision-making in plantation settings. The implications suggest that broader adoption of fuzzy-based models can enhance transparency and worker satisfaction in agricultural wage systems.

Sentiment Analysis of the Use of Makeup Products Using the Support Vector Machine Method Khairunnisa, Khairunnisa; Sriani, Sriani
Jurnal Teknologi Informasi dan Terapan Vol 11 No 2 (2024): December
Publisher : Jurusan Teknologi Informasi Politeknik Negeri Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25047/jtit.v11i2.439

Many beauty products have emerged from various brands by providing attractive offers for women who are their main targets. Product reviews can help consumers regarding the quality of using the product. However, the problem is, on the femaledaily.com website there is no distinction between negative, neutral, and positive reviews so that consumers must first read the review and it takes a lot of time and this problem really requires a classification process on the review into negative, neutral, and positive classes. This process cannot be done automatically, therefore sentiment analysis is needed. To find out the classification of positive, negative, and neutral sentiment on the product, the Support Vector Machine (SVM) method is used, the advantage of SVM in this case lies in its ability to handle high-dimensional datasets and still produce effective classification and SVM is also a good choice for sentiment analysis in the context of cosmetic product reviews. The classification results using the SVM method produce data into 3 classes, namely 510 positive reviews, 98 neutral, and 29 negative with an accuracy value of 77.97%, precision 78%, recall 100%, fi-score 88%

Classification of Chicken Meat Freshness Using Support Vector Machine and Hue Saturation Intensity Rilia, Cintana Aisyah; Sriani, Sriani
Jurnal Teknologi Informasi dan Terapan Vol 11 No 2 (2024): December
Publisher : Jurusan Teknologi Informasi Politeknik Negeri Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25047/jtit.v11i2.440

Chicken meat is a popular source of animal protein in Indonesia due to its high nutritional value, affordable price, and easy processing. The identification of chicken meat freshness is currently still done manually through visual or tactile inspection, but this method has limitations, especially if consumers are less skilled in distinguishing the quality of chicken meat freshness. Therefore, an automated system is needed to classify the freshness level of chicken meat based on images. This research aims to develop an image processing system in classifying the freshness level of chicken meat by utilizing the Support Vector Machine (SVM) method with Hue Saturation Intensity (HSI) based color feature extraction. This process is done by converting the RGB image into HSI, then extracting the Hue, Saturation, and Intensity values and classifying using a polynomial kernel. This study used 450 chicken meat images, with 360 training data and 90 test data. The developed system successfully achieved an accuracy of 65.56%. The test results show that the system is reliable in classifying the freshness level of chicken meat. This system has the potential to support the identification of meat freshness efficiently and objectively, while at the same time improving food safety.

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

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

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

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.

Co-Authors Abdul Halim Hasugian Abiyyu Wadi, M adani, abdul harits Ade Nurlita Adi Hartono Adinda Tarisyah Hsb Agil Lubs, Said 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 Avellyola, Ouren Ayu Nabila, Ayu Azhari, Fajar Bimantara, M. Dhuha Daffa, Muhammad Dava Sindy Dea Syahfira Hasibuan Dirga Ayu Sulistia Fadhilah Andini Fadillah, hasti Farah Dhiba, Nabila Fikril Hakim Firin, Ananda Sarbaini Hade Fahrezi, Angga 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 Khairunnisa Khairunnisa Lia Putri Ashari Lubis Mafazi Ananda Hafiz Mazayah Tsaqofah Mhd Furqan Mhd Furqan Mhd Furqan Mhd. Syahnan Milla Rantika Muhammad Dary Daffa Haque Muhammad Naufal Shidqi Muhammad Siddik Hasibuan Munadi Munadi Muntaja, Nadia Nasrullah Fajrillah, Raja Nasution, Saddam Ali Habibie Nia Zanah Nia Nugroho, Bagus Joyo Tirto Nurfebia, Karina Nurfikri, Tengku Falih Diny Nurhasanah Tambunan Nurul Hayati Pandia, Nur Aisyah Panjaitan, Nurhalimah Pratama Hutabarat, Dea Ananda Purwaningtyas, Franindya Raditya, Muhammad Ezar Rafiqah, Intan Nur Rahmat Zulfikar Nasution Raissa Amanda Putri Rakhmat Kurniawan R Ramadani, Putri Ramadhan, Alfan Riki Hamdani Rilia, Cintana Aisyah Rima Aprilia Rina Filia Sari, Rina Filia Riris Silvia Tampubolon Ritonga, Azizah Oktarina Rizky Sundari TP. Bolon Rubiani, Endang Ruslan Padli Salsabila, Raisha Siti Asyaroh Siti Rahmawati Soly Aryza Lubis Soly Aryza Lubis Sri Rahmadani Suci Ramadhani Suhardi, Suhardi Syahputra, Surya Tommi Ardiansyah Triase Triase Triase Triase Triase Waju Indrian Wan Fadilla Rischa Widya Syaharani Wina Fadia Ardianti Yuli Kartika Siregar Yunda Aidilia Yunus Fadillah Harahap Zordy Andrean Sibarani Zuheri Lubis

Title

Found 80 Documents
Search

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Title Search

Found 80 Documents Search

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Title

Found 80 Documents
Search