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All Journal Jurnal Sains Informatika Terapan (JSIT) Impression : Jurnal Teknologi dan Informasi Vox Populi: Jurnal Umum Pengabdian Kepada Masyarakat
Alhaq, Hawari
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Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Education Electrical & Electronics Engineering Environmental Science Law, Crime, Criminology & Criminal Justice Social Sciences

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Rancang Bangun Sistem Digital Pemantau Suhu dan Kelembaban Ruang Server Berbasis IoT Gios Sholid, Rolly; Yanto, H; Alhaq, Hawari; Danang Wijanarko, Satria
Jurnal Sains Informatika Terapan Vol. 4 No. 2 (2025): Jurnal Sains Informatika Terapan (Juni, 2025)
Publisher : Riset Sinergi Indonesia (RISINDO)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62357/jsit.v4i2.729

Abstract

Server rooms require strict temperature and humidity control to ensure the stability, reliability, and longevity of electronic devices. Excessive heat or uncontrolled moisture may lead to hardware degradation, reduced system performance, and potential service interruptions. To address these challenges, this study presents the design and implementation of an IoT-based digital monitoring system that integrates an ESP32 microcontroller with a DHT22 temperature–humidity sensor. The collected data are transmitted via Wi-Fi to the ThingSpeak cloud platform, where they are stored, processed, and visualized in real time. The research method covers hardware prototyping, firmware programming, and a 24-hour continuous simulation to evaluate system performance. Experimental results indicate that the monitoring system successfully records temperature variations within the range of 22–30°C and relative humidity levels between 45–65%. When validated against a calibrated reference device, the system achieves an average measurement error of 0.6°C for temperature and 2.1% RH for humidity, which demonstrates adequate precision for server room applications. In terms of communication performance, the data upload to ThingSpeak shows an average latency of 1.2 seconds with a transmission success rate of 99%, ensuring reliable remote accessibility. Furthermore, the system is equipped with configurable alarm thresholds that provide early warnings whenever the environmental conditions exceed safe operating limits. Overall, the proposed IoT-based monitoring design proves to be a feasible, scalable, and low-cost solution for server room environments. It not only supports preventive maintenance by enabling timely detection of anomalies but also offers a practical model for extending digital monitoring to other critical facilities where environmental stability is essential.
Analisis Dan Perancangan Clustering Siswa Baru Menggunakan Metode K-Means Pada SMK Negeri 1 Sarolangun Alhaq, Hawari; Yanto, Widja; Ichsandi, Ichsandi; Sari, Rica Syofiana; Sholid, Rolly Gios; Septiana, Alegriya Windi
Impression : Jurnal Teknologi dan Informasi Vol. 4 No. 2 (2025): July 2025
Publisher : Lembaga Riset Ilmiah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59086/jti.v4i2.1035

Abstract

Teknologi Informasi dan Komunukasi digunakan dalam berbagai jenis aktifitas didalam kehidupan saat ini, Teknologi informasi sangat berperan dalam organisasi perusahaan salah satunya Business intelligence. Salah satu penghasil knowledge yaitu data mining. Data mining merupakan suatu teknik pengumpulan data untuk membentuk pengetahuan baru dari data yang ada. Banyak teknik pengelompokan data yang digunakan salah satunya algoritma yang sering digunakan adalah K-Means. Algoritma K-Means adalah algoritma clustering yang paling sederhana dibanding dengan algoritma yang lain. Algoritma ini termasuk salah satu algoritma paling penting dalam data mining. K-Means membagi data kemudian mengelompokkannya kedalam beberapa cluster yang memiliki kemiripan dan memisahkan setiap cluster berdasarkan perbedaan antar masing-masing cluster. Algoritma ini telah dikemukakan oleh beberapa peneliti dari disiplin ilmu yang berbeda. Tujuan penelitian ini dapat menganalisa clustering siswa baru menggunakan metode K-Means pada SMK N 1 Sarolangun serta merancang prototype clusteringnya. Dimana manfaat yang ditemukan nantinya yaitu untuk meningkat akurasi dalam pengelompokan siswa baru. Information and Communication Technology is used in various types of activities in today’s life. Information technology plays a crucial role in organizational operations, one of which is Business Intelligence. One of the key sources of knowledge is data mining. Data mining is a technique for collecting data in order to generate new knowledge from existing data. There are many data clustering techniques used, and one commonly applied algorithm is K-Means. The K-Means algorithm is one of the simplest clustering algorithms compared to others. It is also considered one of the most important algorithms in data mining. K-Means partitions data and groups it into several clusters based on similarities and distinguishes each cluster based on their differences. This algorithm has been proposed by researchers from various academic disciplines. The objective of this study is to analyze the clustering of new students using the K-Means method at SMK N 1 Sarolangun and to design a clustering prototype. The benefit of this study is to improve the accuracy of new student grouping.  
Edukasi Keamanan Siber: Melindungi Data Diri Dan Mengenali Modus Penipuan Di Media Sosial Facebook Pada Ibu-Ibu Pkk Desa Bukit Subur Merangin Ichsandi; Alhaq, Hawari; Yanto, Widja; Indria, Lily; Maria Ulfa, Adinda
Vox Populi: Jurnal Umum Pengabdian Kepada Masyarakat Vol 2 No 2 (2025): Vox Populi: Jurnal Umum Pengabdian Kepada Masyarakat
Publisher : PT. Meja Ilmiah Publikasi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70308/voxpopuli.v2i2.117

Abstract

Cybersecurity is a crucial issue in the digital era, especially for communities actively using social media platforms such as Facebook. The PKK mothers of Bukit Subur Village, Merangin, represent a group vulnerable to fraud and misuse of personal data online. This community service activity aims to enhance the understanding and awareness of PKK mothers regarding the importance of protecting personal data and recognizing various fraud schemes prevalent on Facebook. The methods employed include interactive education through counseling, discussions, and case simulations. The results of the activity show an increase in participants' knowledge and vigilance towards cybersecurity risks, as well as their ability to identify and avoid fraud schemes on social media. This initiative is expected to foster a better digital literacy culture within the Bukit Subur Village community.
Pengimbasan Hasil Pelatihan Pembelajaran Coding Dan Kecerdasan Artifisial di SMKN 11 Merangin Gina, Rolly Gios Sholid; Alhaq, Hawari; Firmansyah, M Ridho
Vox Populi: Jurnal Umum Pengabdian Kepada Masyarakat Vol 2 No 2 (2025): Vox Populi: Jurnal Umum Pengabdian Kepada Masyarakat
Publisher : PT. Meja Ilmiah Publikasi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70308/voxpopuli.v2i2.247

Abstract

This community service program was implemented through the dissemination of training outcomes on coding and artificial intelligence (AI) learning at SMKN 11 Merangin. The main objective of this program was to enhance the digital literacy competencies of teachers and students, particularly in mastering fundamental programming skills and applying basic AI concepts in the learning process. The program was conducted through a series of lectures, workshops, hands-on practice, and mentoring sessions. The results indicated that both teachers and students were able to comprehend the basic concepts of coding, develop simple programs, and identify the potential applications of artificial intelligence in daily life. It is expected that this activity will contribute to improving the quality of learning in vocational schools and foster the development of a school ecosystem that supports digital competency advancement in the era of Industry 4.0.
Co-Authors Danang Wijanarko, Satria Firmansyah, M Ridho Gina, Rolly Gios Sholid Gios Sholid, Rolly Ichsandi Ichsandi, Ichsandi Indria, Lily Maria Ulfa, Adinda Sari, Rica Syofiana Septiana, Alegriya Windi Sholid, Rolly Gios Yanto, H Yanto, Widja