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All Journal Sistemasi: Jurnal Sistem Informasi Abdimas Umtas : Jurnal Pengabdian kepada Masyarakat Buletin Ilmiah Sarjana Teknik Elektro Journal of Robotics and Control (JRC) Jurnal Teknik Informatika (JUTIF) Tata Kelola Buletin Sistem Informasi dan Teknologi Islam
Kariyamin, Kariyamin
Institut Teknologi Dan Bisnis Muhammadiyah Wakatobi
Religion Aerospace Engineering Agriculture, Biological Sciences & Forestry Arts Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Education Electrical & Electronics Engineering Mechanical Engineering Social Sciences

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Pengaruh Motivasi, Kompetensi, dan Lingkungan Kerja terhadap Kinerja Pegawai Kariyamin Kariyamin; Nasir Hamzah; Niniek Lantara
Tata Kelola Vol. 7 No. 1 (2020): Tata Kelola (Januari - Juni)
Publisher : Magister Manajemen Universitas Muslim Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (344.249 KB) | DOI: 10.52103/tatakelola.v7i1.65

Abstract

Penelitian ini bertujuan untuk menguji sejauh mana pengaruh motivasi, kompetensi, dan lingkungan kerja terhadap kinerja pegawai Badan Pengelola Pajak dan Retribusi Daerah Kota Kendari Sulaweis Tenggara. Pengumpulan data dilakukan melalui penyebaran kuesioner dan dilaksanakan pada 33 pegawai Badan Pengelola Pajak dan Retribusi Daerah Kota Kendari Sulaweis Tenggara. Analisis data pada penelitian ini menggunakan bantuan program SPSS versi 24. Teknik sampling yang dipakai adalah metode sensus dan teknik pengujian data yang digunakan dalam penelitian ini meliputi Uji asumsi klasik dan analisis regresi linier berganda, untuk menguji dan membuktikan hipotesis penelitian. Hasil analisis menunjukkan bahwa secara simultan motivasi, kompetensi, dan lingkungan kerja berpengaruh terhadap kinerja pegawai dan secara parsial yang berpengaruh dominan terhadap kinerja pegawai adalah motivasi. This study aims to examine the extent of the influence of motivation, competence and work environment on the performance of employees of the Southeast Sulawesi Sulaweis City Kendari Management and Retribution Agency. Data collection was carried out through questionnaires and was carried out on 33 employees of the Southeast Sulawesi Sulaweis City Regional Tax and Retribution Management Agency. Data analysis in this study used SPSS version 24. The sampling technique used was the census method and data testing techniques used in this study include the classic assumption test and multiple linear regression analysis, to test and prove the research hypothesis. The analysis shows that simultaneous motivation, competence, and work environment influence employee performance and partially the dominant influence on employee performance is motivation.
Society in the Digital Age: Creating a Positive Impact Through Sustainable Digital Marketing Practices Kariyamin; Rahmat Ardila Dwi Yulianto; Muhammad Kunta Biddinika; Anthon Yudhana
ABDIMAS: Jurnal Pengabdian Masyarakat Vol. 6 No. 4 (2023): ABDIMAS UMTAS: Jurnal Pengabdian Kepada Masyarakat
Publisher : LPPM Universitas Muhammadiyah Tasikmalaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35568/abdimas.v6i4.3770

Abstract

In the ever-evolving digital era, digital marketing practices have become an important component for businesses and organizations in various sectors. However, it is important for us to consider the impact generated by these digital marketing practices. It is important for us to ensure that these practices are not only effective in achieving marketing goals, but also sustainable and have a positive impact.The purpose of this digital marketing training is to provide students with more in-depth knowledge that digital has a positive and sustainable impact. The implementation of the training activities was carried out at SMK Miftahul Huda Sambungmacan Sragen on Friday, June 9 2023. The method of implementation was the lecture and discussion method. The results of this activity based on the results of the questionnaire are the increased understanding of students at SMK Miftahul Huda Kontakmacan Sragen regarding digital marketing. The implementation of this activity went well where the training participants actively participated in the activity from start to finish and were able to do the exercises properly and on time, which meant that participants could understand the material presented well.
Concerns of Ethical and Privacy in the Rapid Advancement of Artificial Intelligence: Directions, Challenges, and Solutions Furizal, Furizal; Ramelan, Agus; Adriyanto, Feri; Maghfiroh, Hari; Ma'arif, Alfian; Kariyamin, Kariyamin; Masitha, Alya; Fawait, Aldi Bastiatul
Journal of Robotics and Control (JRC) Vol. 5 No. 6 (2024)
Publisher : Universitas Muhammadiyah Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18196/jrc.v5i6.24090

Abstract

AI is a transformative technology that emulates human cognitive abilities and processes large volumes of data to offer efficient solutions across various sectors of life. Although AI significantly enhances efficiency in many areas, it also presents substantial challenges, particularly regarding ethics and user privacy. These challenges are exacerbated by the inadequacy of global regulations, which may lead to potential abuse and privacy violations. This study provides an in-depth review of current AI applications, identifies future needs, and addresses emerging ethical and privacy issues. The research explores the important roles of AI technologies, including multimodal AI, natural language processing, generative AI, and deepfakes. While these technologies have the potential to revolutionize industries such as content creation and digital interactions, they also face significant privacy and ethical challenges, including the risks of deepfake abuse and the need for improved data protection through platforms like PrivAI. The study emphasizes the necessity for stricter regulations and global efforts to ensure ethical AI use and effective privacy protection. By conducting a comprehensive literature review, this research aims to provide a clear perspective on the future direction of AI and propose strategies to overcome barriers in ethical and privacy practices.
Menganalisis Ulasan Mobile Legends: Analisis Kinerja Berdasarkan Opini Pengguna dengan Naive Bayes Kariyamin, Kariyamin; Alyakin, Muh. Ikhsan; Alyandi, La Ode
Buletin Sistem Informasi dan Teknologi Islam (BUSITI) Vol 6, No 1 (2025)
Publisher : Universitas Muslim Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33096/busiti.v6i1.2475

Abstract

This research explores sentiment analysis on user reviews of the game Mobile Legends: Bang Bang using the Naïve Bayes method. With the rapid growth in user numbers, the reviews received reflect a diverse range of positive, negative, and neutral sentiments. One of the main challenges is the data imbalance among the three sentiments, which can affect the model's accuracy. Data was collected through scraping techniques from the Google Play Store, followed by preprocessing to enhance data quality. The analysis results show that the Naïve Bayes model achieved an accuracy of 75.28%, demonstrating good performance in identifying negative reviews, although there is still room for improvement in the positive and neutral categories. These findings are expected to provide valuable insights for game developers in understanding user experiences and improving application features based on sentiment analysis. 
Understanding Time Series Forecasting: A Fundamental Study Furizal, Furizal; Ma’arif, Alfian; Kariyamin, Kariyamin; Firdaus, Asno Azzawagama; Wijaya, Setiawan Ardi; Nakib, Arman Mohammad; Ningrum, Ariska Fitriyana
Buletin Ilmiah Sarjana Teknik Elektro Vol. 7 No. 3 (2025): September
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/biste.v7i3.13318

Abstract

Time series forecasting plays a vital role in economics, finance, engineering, etc., due to its predictive power based on past data. Knowing the basic principles of time series forecasting enables wiser decisions and future optimization. Despite its importance, some researchers and professionals find it difficult to use time series forecasting techniques effectively, especially with complex data settings and selection of methods for a particular problem. This study attempts to explain the subject of time series forecasting in a comprehensive and simple manner by integrating the main stages, components, preprocessing steps, popular forecasting models, and validation methods to make it easier for beginners in the field of study to understand. It explains the important components of time series data such as trend, seasonality, cyclical components, and irregular components, as well as the importance of data preprocessing steps, proper model selection, and validation to achieve better forecasting accuracy. This study offers useful material for both new and experienced researchers by providing guidance on time series forecasting techniques and approaches that will help in enhancing the value of decision making.
PERFORMANCE ANALYSIS OF REAL TIME STREAMING PROTOCOL (RTSP) AND REAL TIME TRANSPORT PROTOCOL (RTP) USING VLC APPLICATION ON LIVE VIDEO STREAMING Kariyamin, Kariyamin; Riadi, Imam; Herman, Herman
Jurnal Teknik Informatika (Jutif) Vol. 4 No. 4 (2023): JUTIF Volume 4, Number 4, August 2023
Publisher : Informatika, Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52436/1.jutif.2023.4.4.698

Abstract

Video is a means of delivering very complete information and can be implemented using streaming technology. Networking services for local media exchange are helpful in teaching and learning activities, such as simultaneous video playback. Submission of information in the form of this video can be done by unicast, multicast or Broadcast packet delivery Live video streaming using RTP and RTSP protocol. The test was done through three experiments ie unicast, multicast and broadcast for five times. The output occurring at (RTP) is 4.73 MBit / sec for 5 client, higher than from (RTSP) of 13.799 MBit / sec for 5 client. This test occurs a very high Delay on RTP while RTSP has a low Delay in RTP. Meanwhile, the packet loss that occurs in (RTP) is 124.50% lower than (RTSP) which is 6.06% from 5 clients each. Because RTSP is an applicationlevel protocol for data delivery control that has real time characteristics such as streaming media. While RTP is designed not for streaming but to handle the actual data transmission of data in the form of sound or image or both, especially those based on real time such as streaming media.
Analysis of School Life Expectancy Prediction in North Sumatra using the ARIMA Method for the 2024-2025 Period Sudewo, Egi Dio Bagus; Biddinika, Muhammad Kunta; Dahlan, Khoirul Anam; Prayitno, Kintung; Kariyamin, Kariyamin
Sistemasi: Jurnal Sistem Informasi Vol 13, No 6 (2024): Sistemasi: Jurnal Sistem Informasi
Publisher : Program Studi Sistem Informasi Fakultas Teknik dan Ilmu Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32520/stmsi.v13i6.4611

Abstract

This study analyzes the projection of the School Life Expectancy (HLS) in 33 districts/cities in North Sumatra Province using the ARIMA method. Historical HLS data from 2019 to 2023 were used to forecast the HLS values for 2024 and 2025. The prediction results show an increase in HLS in most regions, with several districts/cities such as Labuhan Batu, Pematangsiantar City, and Padangsidempuan City experiencing significant growth. However, some regions like Mandailing Natal and Samosir show a more stable trend without significant increases. These findings indicate disparities in access and quality of education across various regions in North Sumatra. Overall, the ARIMA model provides a positive forecast for future HLS improvements, though regional disparities require special attention from relevant authorities to promote equal access to education.
Co-Authors Adriyanto, Feri Aldi Bastiatul Fawait Fawait Alfian Ma’arif ALYA MASITHA Alyakin, Muh. Ikhsan Alyandi, La Ode Anthon Yudhana Ariska Fitriyana Ningrum Asno Azzawagama Firdaus Egi Dio Bagus Sudewo Furizal, Furizal Imam Riadi Khoirul Anam Dahlan Kintung Prayitno, Kintung Maghfiroh, Hari Muhammad Kunta Biddinika Muhammad Kunta Biddinika Nakib, Arman Mohammad Nasir Hamzah Niniek Lantara Raden Mohamad Herdian Bhakti Rahmat Ardila Dwi Yulianto Ramelan, Agus Wijaya, Setiawan Ardi