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All Journal Elkom: Jurnal Elektronika dan Komputer PIKSEL : Penelitian Ilmu Komputer Sistem Embedded and Logic Elkawnie JURNAL PENGABDIAN KEPADA MASYARAKAT MODELING: Jurnal Program Studi PGMI ALGORITMA : JURNAL ILMU KOMPUTER DAN INFORMATIKA IJISTECH (International Journal Of Information System & Technology) JURIKOM (Jurnal Riset Komputer) Sang Pencerah: Jurnal Ilmiah Universitas Muhammadiyah Buton An Nadwah Jurnal Mantik JISKa (Jurnal Informatika Sunan Kalijaga) Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi) JSR : Jaringan Sistem Informasi Robotik Jurnal Teknik Informatika C.I.T. Medicom INFOKUM Teknosains : Jurnal Sains,Teknologi dan Informatika IJISTECH Jurnal FASILKOM (teknologi inFormASi dan ILmu KOMputer) Walisongo Journal of Information Technology Jurnal Indonesia : Manajemen Informatika dan Komunikasi KLIK: Kajian Ilmiah Informatika dan Komputer Innovative: Journal Of Social Science Research Cendekia: Media Komunikasi Penelitian dan Pengembangan Pendidikan Islam
Sriani Sriani
Univeritas Islam Negeri Sumatera Utara
Religion Agriculture, Biological Sciences & Forestry Arts Humanities Automotive Engineering Biochemistry, Genetics & Molecular Biology Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Public Health Social Sciences Other

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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.
Perbandingan Algoritma Contraharmonic Mean Filter dan Arithmetic Mean Filter untuk Mereduksi Exponential Noise Mhd Furqan; Sriani Sriani; Yuli Kartika Siregar
JISKA (Jurnal Informatika Sunan Kalijaga) Vol. 5 No. 2 (2020): September 2020
Publisher : UIN Sunan Kalijaga Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (501.948 KB) | DOI: 10.14421/jiska.2020.52-05

Abstract

Noise in the image caused a decrease in image quality, so that the image will look dirty and spots appear on the resulting image. Noise also results in reduced information on the resulting image so that noise limits valuable information when image analysis is performed. Filtering technique is one way to overcome noise. The filtering technique used in this study is using the Contraharmonic Mean Filter algorithm and the Arithmetic Mean Filter algorithm with the type of noise used to reduce the Exponential Noise. The results of the two algorithms show that the Arithmetic Mean Filter algorithm is a better algorithm to reduce the Exponential Noise compared to the Contraharmonic Mean Filter algorithm which is proven based on the value of MSE (Mean Square Error) and PSNR (Peak Signal-to-Noise Ratio).
Penerapan Logika Fuzzy Mamdani Untuk Optimasi Persediaan Stok Makanan Hewan Muhammad Dary Daffa Haque; Sriani Sriani
KLIK: Kajian Ilmiah Informatika dan Komputer Vol. 4 No. 1 (2023): Agustus 2023
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/klik.v4i1.1160

Abstract

This research aims to optimize the inventory management of animal food stocks at Endman Petshop by implementing Mamdani fuzzy logic. In recent years, the petshop industry has experienced rapid growth, making inventory stock management increasingly important to efficiently meet customer demands. The input variables used in this study include Sold Goods, Demand, Price per Item, and Profit, while the output variable is Stock. Sales data from the top five products at Endman Petshop over the course of a year serve as the basis for developing the Mamdani fuzzy logic model. By implementing the Mamdani fuzzy logic method using MATLAB software, the research results demonstrate that the application of Mamdani fuzzy logic can help optimize animal food stock inventory. Considering the fluctuating variability of demand, price, and profit, this model assists Endman Petshop in making more accurate decisions in stock inventory management. This research contributes significantly to enhancing operational efficiency and profitability for Endman Petshop, offering practical solutions to address challenges in increasingly complex inventory management. As part of a continuously evolving industry, this research becomes a relevant reference for petshop practitioners and business owners in optimizing stock inventory and better meeting customer demands. The research findings indicate a significant improvement in operational efficiency and profitability for Endman Petshop. The results show that the implementation of the Mamdani fuzzy logic method can reduce inefficient stock inventory
Komunikasi Interpersonal antara Guru dengan Anak Penyandang Tunarungu dalam Menyampaikan Ajaran Agama Islam di SLB Daarus Salam Kabupaten Asahan Zordy Andrean Sibarani; Irma Yusriani Simamora
Sang Pencerah: Jurnal Ilmiah Universitas Muhammadiyah Buton Vol. 9 No. 3 (2023): Sang Pencerah: Jurnal Ilmiah Universitas Muhammadiyah Buton
Publisher : Lembaga Jurnal dan Publikasi Universitas Muhammadiyah Buton

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35326/pencerah.v9i3.3897

Abstract

Penelitian ini bertujuan untuk menggali informasi mengenai komunikasi interpersonal siswa tunarungu dalam pembelajaran Agama Islam. Metode yang digunakan yaitu kualitatif deskriptif. Informan penelitian yaitu guru dan anak murid. Menggunakan tehni pengumpulan data yaitu wawancara dan observasi dan dokumentasi. Lokasi penelitian tunarungu di daarus salam kabupaten asahan. Teknik analisis data yang digunakan yakni pengumpulan data, reduksi data, dispalay data dan verifikasi data. Teknik keabsahan data menggunakan trigulasi sumber, tehnik dan waktu. Hasil penelitian menunjukkan bahwa siswa tunarungu membutuhkan pendekatan komunikasi interpersonal yang berbeda dengan siswa normal, termasuk dalam pembelajaran Agama Islam. Guru-guru tersebut mengaplikasikan beberapa teknik dan metode komunikasi interpersonal seperti penggunaan bahasa isyarat, tulisan, gambar, dan media visual untuk membantu siswa tunarungu memahami konsep Agama Islam. Selain itu, mereka juga berkolaborasi dengan orang tua peserta didik. Kesimpulan sangat penting peranan guru dalam berkomunikasi interpersonal dengan siswanya dimana disebabkan dengan berkomunikasi dengan baik maka akan mudah siswa atau guru memahami apa yang mereka sampaikan atau bicarakan.
Penerapan Logika Fuzzy Sugeno Untuk Optimasi Stok Biji Kopi Pada Kafe Rooster Mafazi Ananda Hafiz; Sriani
JURNAL FASILKOM Vol 13 No 02 (2023): Jurnal FASILKOM (teknologi inFormASi dan ILmu KOMputer)
Publisher : Unversitas Muhammadiyah Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37859/jf.v13i02.5460

Abstract

Dalam bisnis kedai kopi, ketersediaan stok biji kopi merupakan hal yang krusial. Seringkali, perusahaan mengalami kendala dalam menjaga keseimbangan antara persediaan stok dengan pesanan dari pelanggan, yang dapat berdampak pada efisiensi operasional. Penelitian ini bertujuan untuk mengatasi masalah tersebut dengan menerapkan logika fuzzy Sugeno untuk mengoptimasi stok biji kopi pada Rooster Koffie. Metode ini dipilih karena mampu menangani ketidakpastian dan fluktuasi permintaan yang sering terjadi pada bisnis kedai kopi. Model logika fuzzy Sugeno dikembangkan dengan mengimplementasikan aturan-aturan berdasarkan variabel input untuk menentukan tingkat stok biji kopi yang optimal. Variabel logika fuzzy yang diidentifikasi meliputi stok awal, jumlah biji kopi yang terjual, penambahan stok, dan stok akhir. Data tersebut kemudian dijadikan sebagai himpunan fuzzy, dan aturan fuzzy dibentuk berdasarkan pengetahuan yang ada di dalam domain tersebut. Model diuji menggunakan data penjualan pada tahun 2022 dari Rooster Koffie untuk menguji dan memvalidasi kinerjanya dengan bantuan aplikasi Matlab. Berdasarkan pengujian menggunakan Mean Absolute Percentage Error (MAPE), ditemukan bahwa hasilnya mencapai 19,81% atau sama dengan tingkat kebenaran sebesar 80,19%. Hasil ini menunjukkan tingkat akurasi yang tinggi dalam menentukan stok biji kopi yang optimal. Dengan demikian, sistem ini dapat diandalkan sebagai sistem optimasi stok biji kopi yang efisien dan efektif bagi Rooster Koffie.
PERILAKU KOMUNIKASI PENGGUNAAN MEDIA SOSIAL TIKTOK DI KALANGAN MAHASISWA KPI FAKULTAS DAKWAH DAN KOMUNIKASI UNIVERSITAS ISLAM NEGERI SUMATERA UTARA STAMBUK 2019 Dirga Ayu Sulistia; Irma Yusriani Simamora
Jurnal Indonesia : Manajemen Informatika dan Komunikasi Vol. 4 No. 3 (2023): Jurnal Indonesia : Manajemen Informatika dan Komunikasi (JIMIK)
Publisher : Lembaga Penelitian dan Pengabdian Kepada Masyarakat (LPPM) AMIK Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/jimik.v4i3.365

Abstract

This study discusses the communication behavior of TikTok social Network users among the students of the Islamic Broadcasting and Media Studies (KPI) program at the Faculty of Dakwah, Islamic State University of North Sumatra, course 2019. This study aims to find out how the student KPI's communication behavior of class 2019 via social Network TikTok. The research method used is qualitative with a descriptive approach. The researcher used observational tools, interview guide and himself as the main tools. Research data was collected through in-depth interviews with KPI students and analysis was performed holistically for a comprehensive understanding of the use of TikTok in the context of student-to-student communication. Research results show that KPI students, as users of the social Network TikTok, use the platform as a means of entertainment, a source of knowledge, learning about Islam, and a motivation to share. their own positive content. TikTok's social media also makes it easy for them to stay up to date with relevant trending information. In addition, students' communication behavior when using TikTok tends to be positive and has no negative impact. However, we are reminded to use this platform wisely, avoid abuse, and always categorize trending information and content seriously and intelligently. This study provides valuable insights into TikTok's social media usage among KPI students and its relevance in digital communication in the context of higher education.
Analisis Sentimen Masyarakat Terhadap Resesi Ekonomi Global 2023 Menggunakan Algoritma Naïve Bayes Classifier Sriani; Aidil Halim Lubis; Yunus Fadillah Harahap
Elkom : Jurnal Elektronika dan Komputer Vol 16 No 2 (2023): Desember : Jurnal Elektronika dan Komputer
Publisher : STEKOM PRESS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51903/elkom.v16i2.1673

Abstract

The global economic recession is a global economic downturn that affects the domestic economies of countries in the world. The stronger the economic dependence of one country on the global economy, the faster a recession will occur in that country. In 2020 the country of Indonesia and even the world are exposed to the COVID-19 virus which has an impact on the country's economic growth, even the world economy. This is the trigger for an economic recession. This has led to many different public perspectives on the occurrence of a global economic recession whose opinions or reactions are expressed on social media Youtube. The data was obtained by crawling techniques from social media Youtube with a total of 500 comments used. The data is then labeled (class) with a lexicon-based method with an Indonesian language dictionary. From the labeling results, it was obtained 185 positive labeled data (37%) and 315 negative opinions (63%). The data preprocessing stage is carried out in preparation for the data to be processed for sentiment analysis. Of the many opinions obtained, an analysis of public sentiment regarding the 2023 global economic recession will be carried out using the Naïve Bayes classification algorithm. This study also applied the TF-IDF word weighting method with the n-gram feature used, namely bigram (n=1). The system will be evaluated using a confusion matrix. The implementation results show a prediction model with a total of 500 opinion data with a comparison of training data and test data of 9:1, producing an accuracy value of 84.00%, a precision value of 75.00%, a recall of 30.00%, and an f1-score of 42.86%. The performance of the system model built in this study can be said to be good.
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-Sekolah Tinggi Teknologi 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
Application of color extraction methods and k-nearest neighbor to determine maturity avocado butter Wina Fadia Ardianti; Sriani Sriani; Abdul Halim Hasugian
Jurnal Teknik Informatika C.I.T Medicom Vol 15 No 1 (2023): March: Intelligent Decision Support System (IDSS)
Publisher : Institute of Computer Science (IOCS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35335/cit.Vol15.2023.375.pp09-20

Abstract

Computerization requires system testing and further system development, namely color feature extraction with KNN. Avocado is one that has a high protein content in it. This research uses the KNN algorithm method and feature extraction in order to get more effective results, the purpose of this research is to make it easier for people to choose the ripeness level of butter avocados because people still don't know about the maturity level of butter avocados. In this study, testing was carried out by bringing the avocado fruit closer to the cellphone camera connected to the researcher's internet, after which the application will automatically match the color of the avocado. to the system, the system will produce output based on that color with output in the form of the ripeness level of the avocado, whether it is ripe, ripe, half ripe, rotten and also generates information on how much longer the avocado will ripen. All stages of system development are carried out by analyzing data first, then taking sample data, training and testing datasets, then the results of the system will become benchmarks. The test data in this study used several types of avocado objects, namely: Raw, Half Ripe, Ripe, Ripe, Rotten. It consisted of 55 data samples consisting of 11 raw avocado samples, 11 half-ripe avocado samples, 11 ripe avocado samples, 11 ripe avocado samples and 11 rotten avocado samples. Obtained euclidean distance values ​​for each type of avocado butter. After that, the sum is done to get the overall level of accuracy by adding up the total euclidean distance with the total euclidean distance for each type of avocado. After getting the added value multiply it by 100%. Then the overall accuracy results obtained are 98.38%.
Strategi Komunikasi Perangkat Desa Untuk Meningkatkan Partisipasi Masyarakat Dalam Pembangunan Desa Sesuai Prespektif Al-Qur’an Ali Akbar Siregar; Irma Yusriani Simamora
Cendekia Vol. 16 No. 02 (2024): Cendekia October 2024
Publisher : Fakultas Agama Islam Universitas Billfath

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37850/cendekia.v16i02.793

Abstract

This research aims to find out the Village Apparatus's communication strategy to increase community participation in the development of Batugana Village, Padang Bolak Julu District, North Padang Lawas Regency. The research method used is qualitative with a descriptive qualitative approach. This research was conducted in Batugana village, Padang Bolak Julu District, North Padang Lawas Regency. The data collection techniques used in this research were primary and secondary data. This research uses theory. The theory used is campaign communication theory. In campaign communication theory, communication activities are carried out to impact a relatively large number of audiences, over a certain period, and through a series of organized communication activities. And the results of this research are the strategies used by village officials to increase community participation, namely by using a participatory approach and a holistic approach. This development planning approach is suitable for building irrigation canals that will irrigate community rice fields. The steps used in the communication strategy include getting to know the community closely, compiling material or discussion topics, and developing methods and objectives that village officials want to carry out in carrying out the communication strategy.
Co-Authors Abdul Halim Hasugian Adi Hartono Aidil Halim Lubis Alfioni Saragi Ali Akbar Siregar Alif Lailasari Saragih Armansyah Armansyah Dava Sindy Dirga Ayu Sulistia Fadhilah Andini Fikril Hakim Heri Santoso Ilham Fuadi Nasution Ilka Zufria Indah Permata Sari Jerri Pradana Sikumbang Juraidah Juraidah Khairuna Khairuna Lia Putri Ashari Lubis Mafazi Ananda Hafiz Mhd Furqan Mhd. Syahnan Milla Rantika Muhammad Dary Daffa Haque Muhammad Naufal Shidqi Muhammad Siddik Hasibuan Nurul Hayati Purwaningtyas, Franindya Rahmat Zulfikar Nasution Rakhmat Kurniawan R Rima Aprilia Riris Silvia Tampubolon Ruslan Padli Siti Rahmawati Soly Aryza Lubis Soly Aryza Lubis Sri Rahmadani Suci Ramadhani Tommi Ardiansyah Triase Triase Triase Triase Waju Indrian Wina Fadia Ardianti Yuli Kartika Siregar Yunus Fadillah Harahap Zordy Andrean Sibarani