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All Journal Script Journal: Journal of Linguistic and English Teaching Jurnal Penelitian Pendidikan IPA (JPPIPA) Jurnal Riset Informatika JURPIKAT (Jurnal Pengabdian Kepada Masyarakat) JITSI : Jurnal Ilmiah Teknologi Sistem Informasi
Saefurrohman
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Agriculture, Biological Sciences & Forestry Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Computer Science & IT Dentistry Education Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Materials Science & Nanotechnology Physics Public Health Social Sciences

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Komparasi Tingkat Akurasi Sentimen Algoritma K-Nearest Neighbor Dan Naïve Bayes Pemilihan Gubernur Jawa Tengah 2024 di Sosial Media X Ariyanto, Fajar; Saefurrohman
JITSI : Jurnal Ilmiah Teknologi Sistem Informasi Vol 6 No 2 (2025)
Publisher : SOTVI - Society of Visual Informatics

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62527/jitsi.6.2.332

Abstract

This study highlights the importance of selecting appropriate algorithms for text data analysis and provides recommendations for future exploration of other machine learning and deep learning models to improve the accuracy of sentiment analysis. This research compares the accuracy level of the K-Nearest Neighbor (KNN) and Naïve Bayes algorithms in sentiment analysis in the 2024 Central Java gubernatorial election using data from the social media platform X (formerly Twitter). The data consists of 1,337 posts classified as positive or negative sentiment. Data crawling was done using RapidMiner, and analysis was done via Python in Google Colab. The research results show that the KNN algorithm achieves the highest accuracy of 81%, while Naïve Bayes has a maximum accuracy of 79%. The KNN algorithm is superior in handling text data because of the dependent calculations between attributes, while Naïve Bayes which uses independent calculations has slightly lower performance. This research provides insight into the reaction of public sentiment towards the candidate for governor of Central Java, where the Andhika-Hendi pair received more positive sentiment than Lutfi-Yasin
LOW-POWER MULTI-SENSOR EXTENSION FOR WEMOS CONTROLLERS USING MULTIPLEXED ANALOG INPUTS Budiarso, Zuly Budiarso; Sukur, Muji; Nurraharjo, Eddy; saefurrohman
Jurnal Riset Informatika Vol. 7 No. 3 (2025): Juni 2025
Publisher : Kresnamedia Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34288/jri.v7i3.358

Abstract

The increasing demand for low-cost, compact, and energy-efficient IoT systems has highlighted the limitations of microcontroller units (MCUs) such as the WeMOS D1 Mini, which are constrained by a single analog input pin. This is a major challenge for applications that require multiple analog sensors, such as environmental monitoring or smart agriculture. This paper presents a hardware-based solution using the CD74HC4067 16-channel analog multiplexer to expand the analog input capacity of the WeMOS controller. The system architecture allows multiple sensors to share a single analog input managed by digital control lines. The experimental implementation used six Light Dependent Resistor (LDR) sensors to evaluate accuracy, latency, and power efficiency. The results show that sensor reading accuracy remains within ±2% deviation, with an average channel switching latency of 42 milliseconds and only a 5% increase in total power consumption compared to a single sensor system. These results confirm that the multiplexing strategy maintains reliable performance while significantly improving scalability without compromising power constraints. The proposed approach provides a robust, low-power, and low-cost method for multi-sensor deployment on constrained MCUs, enabling broader application in resource-constrained IoT systems. Future developments may include cascading multiple multiplexers and integrating wireless data transmission for remote sensing applications.
Pendampingan dan Penerapan Wordpress dalam Pengelolaan Website di KONI Kabupaten Kendal Sariyun Naja Anwar; R. Soelistijadi; Sri Eniyati; Saefurrohman
JURPIKAT (Jurnal Pengabdian Kepada Masyarakat) Vol. 5 No. 2 (2024)
Publisher : Politeknik Piksi Ganesha Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37339/jurpikat.v5i2.1674

Abstract

Website merupakan sarana dalam mengumpulkan, menyimpan, dan menyajikan informasi yang relevan kepada masyarakat, seperti informasi produk, layanan, kebijakan, berita, dan lainnya. WordPress menjadi salah satu pilihan untuk membuat Content Management System yang digunakan untuk membangun dan mengelola website. Komite Olahraga Nasional Indonesia (KONI) Kabupaten Kendal dalam menyajikan informasi olahraga saat ini melalui media sosial berupa Instagram. Hanya saja menurut pengurus KONI Kab. Kendal masih memiliki beberapa kekurangan dengan hanya melalui instagram. Untuk itu dibutuhkan teknologi informasi agar dapat menyajikan informasi tersebut dengan cepat dan efektif kepada masyarakat berupa website berbasis WordPress. Tujuannya melakukan pendampingan mengelola website. Metodenya dengan lima tahapan : Identifikasi masalah, Solusi Permasalahan, Pemenuhan Kebutuhan, Pelaksanaan kegiatan, dan Monitoring dan evaluasi. Manfaatnya ada peningkatan komunikasi dengan menyediakan informasi berkaitan olahraga pada masyarakat.
Innovative Approaches to English Language Teaching in Indonesian Public Islamic Schools: Insights and Challenges Saefurrohman; Balinas, Elvira S.; Rosadi, Abas; Nafisah, Shofia Lina; Pascarina, Hanifa
Script Journal: Journal of Linguistics and English Teaching Vol. 9 No. 1 (2024): April
Publisher : Teacher Training and Education Faculty, Widya Gama Mahakam Samarinda University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24903/sj.v9i1.1611

Abstract

Background: In Indonesia's public Islamic secondary schools, English Language Policy and Planning (ELPP) faces challenges such as resource limitations, a lack of qualified educators, and a non-standardized curriculum. However, despite these challenges, compared to ASEAN peers like the Philippines, Indonesia's approach lacks focus on student-centered learning, underscoring the need for enhanced ELPP strategies. Methodology: Four English language teachers and one headmaster participated as respondents in this research to provide comprehensive data findings. Data were collected through interviews conducted over the course of one month, employing guided questions. Subsequently, descriptive analysis was utilized to analyze the data. Findings: English's mandatory integration in secondary education, especially in Madrasah Tsanawiyah, highlights its crucial academic role. Analyzing educational policies and curricular shifts, from competency-based to the Merdeka curriculum, showcases Indonesia's deliberate push for English proficiency. Interviews stress the Merdeka Curriculum's CEFR alignment, prioritizing student empowerment through learner-centered methods and technology. Despite efforts, challenges remain in public Islamic schools, with teachers advocating for supportive environments due to limited exposure and resources. Conclusion: The complex nature of these challenges necessitates the cooperation of politicians, educators, and administrators to establish an atmosphere that promotes successful English language acquisition while also honoring Indonesia's distinct cultural and linguistic diversity. Originality: This study uniquely explores ELPP in Indonesia's public Islamic secondary schools, highlighting the balance between English proficiency and cultural preservation, offering fresh insights into the ELPP discourse in a multicultural and multilingual context.
PENGARUH KOMPOSISI MEDIA TANAM DAN KONSENTRASI PLANT GROWTH PROMOTING RHIZOBACTERIA (PGPR) TERHADAP PERTUMBUHAN DAN HASIL CABAI RAWIT (Capsicum frutescens L.) Setyawan, Imanda; Santoso, Juli; Saefurrohman
Jurnal Penelitian Pendidikan IPA Vol 11 No 12 (2025): December
Publisher : Postgraduate, University of Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jppipa.v11i12.12966

Abstract

Chili pepper (Capsicum frutescens L.) is a high-value horticultural commodity, but its productivity is often hampered by the excessive use of chemical fertilizers. This study aims to evaluate the effect of planting medium composition and plant growth-promoting rhizobacteria (PGPR) concentration on the growth and yield of chili pepper. The study was conducted from May to August 2025 at the Kedungrejo Seed Garden, Madiun Regency, using a factorial Randomized Block Design (RAK) with two factors: planting medium (soil, soil + compost, soil + manure, and soil + compost + manure) and PGPR concentration (0, 8, 16, and 24 ml/L), each replicated three times. Significant interactions were found between planting medium and PGPR on plant height, number of leaves, and fruit weight. The combination of soil + manure with PGPR at doses of 8 and 16 ml/L produced the highest values ​​for fruit weight (up to 2.99 g) and number of leaves (44). Soil and manure alone also increased root weight and fruit number while accelerating flowering. PGPR at a dose of 16 ml/L significantly increased shoot dry weight and shortened the harvest period. This study demonstrates that combining organic media with PGPR can sustainably increase chili productivity.
Co-Authors Ariyanto, Fajar Balinas, Elvira S. Budiarso, Zuly Budiarso Eddy Nurraharjo Hanifa Pascarina Muji Sukur Nafisah, Shofia Lina R. Soelistijadi Rosadi, Abas Santoso, Juli Sariyun Naja Anwar Setyawan, Imanda Sri Eniyati