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All Journal Bianglala Informatika : Jurnal Komputer dan Informatika Akademi Bina Sarana Informatika Yogyakarta Infotek : Jurnal Informatika dan Teknologi ABSYARA: Jurnal Pengabdian Pada Masyarakat Jurnal PRINTER : Jurnal Pengembangan Rekayasa Informatika dan Komputer Jurnal Teknologi Informasi untuk Masyarakat (Jurnal Teknokrat)
Arnila Sandi
Universitas Hamzanwadi
Agriculture, Biological Sciences & Forestry Computer Science & IT Control & Systems Engineering Earth & Planetary Sciences Education Electrical & Electronics Engineering Engineering Environmental Science Languange, Linguistic, Communication & Media Library & Information Science Mathematics Other

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Rancang Bangun Sistem Monitoring Air Minum dan Pakan Ayam Otomatis Berbasis IoT Ahmad, Ramli; Febriana, Ira; Sandi, Arnila
Jurnal PRINTER: Jurnal Pengembangan Rekayasa Informatika dan Komputer Vol. 3 No. 2 (2025): Jurnal PRINTER: Jurnal Pengembangan Rekayasa Informatika dan Komputer
Publisher : Fakultas Teknik Universitas Hamzanwadi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29408/jprinter.v3i2.33077

Abstract

Umumnya para peternak ayam masih menggunakan sistem konvensional untuk memberi makan ayam-ayam yang dipelihara. Mereka menggunakan tangan untuk menaburkan pakan pada tilang pakan dan berjalan sepanjang kandang. Kegiatan seperti itu bagi peternak ayam akan menyita waktu dan tenaga. Dengan hal itu penggunaan IoT telah memberikan kemungkinan baru dalam memantau dan mengendalikan parameter-parameter penting dalam peternakan ayam, khususnya dalam hal ketersediaan air minum dan pakan ayam. Dalam sistem peternakan ayam modern, pemantauan ketersediaan air minum dan pakan ayam menjadi krusial untuk memastikan kesehatan dan kenyamanan ayam. Metode yang di gunakan melibatkan penggunaan Sensor Ultrasonik HC-SR04 sebagai pendeteksi ketersediaan pakan ayam, Sensor Water Flow sebagai pendeteksi ketersediaan air minum yang terhubung ke sebuah mikrokontroler NodeMCU ESP32 yang kemudian terhubung ke jaringan internet melalui protokol WiFi. Data yang diperoleh dari sensor akan dikirimkan secara langsung ke Telegram, sehingga peternak bisa langsung memantau dan mengendalikan ketersediaan air minum dan pakan ayam secara otomatis dari jarak jauh, sehingga memudahkan pekerjaan peternak dalam mengelola peternakan ayam.
Edukasi Pencegahan Cyberbullying di Media Sosial melalui Pemanfaatan Teknologi Digital untuk Siswa SMPN 1 Sembalun Sandi, Arnila Sandi; Yahya; Hizbul Izzi; Abdul Aziz
Jurnal Teknologi Informasi untuk Masyarakat Vol. 3 No. 2 (2025): Jurnal Teknologi Informasi untuk Masyarakat (Teknokrat)
Publisher : Universitas Hamzanwadi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29408/jt.v3i2.33173

Abstract

The rapid development of digital information and communication technology has brought positive and negative impacts, as well as new challenges for adolescents, especially in the use of social media. One problem that often arises is cyberbullying, which can negatively impact students' mental and social health. Cyberbullying is bullying carried out through social media or digital media, which can disrupt the victim's mental health. To reduce this incident, we conducted cyberbullying prevention education at the junior high school level. This activity aims to provide education on cyberbullying prevention through the use of digital technology to students of SMPN 1 Sembalun. The implementation method included interactive socialization and discussions on the safe and responsible use of social media. The results of the activity showed an increase in students' knowledge and awareness of the dangers and ways to prevent cyberbullying on social media. In addition, students were able to practice digital ethics in their daily online interactions. This activity is expected to be the first step in establishing a positive digital literacy culture in the school environment and can prove that digital technology-based education is effective in improving digital literacy and shaping students' positive character in the digital era.
Peningkatan Literasi Teknologi Masyarakat Desa Kalijaga melalui Pelatihan Pembuatan Running Text Muhammad Qusyairi; Arnila Sandi; Bahtiar Bakti
Jurnal Teknologi Informasi untuk Masyarakat Vol. 4 No. 1 (2026): Jurnal Teknologi Informasi untuk Masyarakat (Teknokrat)
Publisher : Universitas Hamzanwadi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29408/jt.v4i1.35316

Abstract

The development of information technology requires communities to have adequate technological literacy to be able to adapt to the demands of the digital era. However, rural communities still face limitations in utilizing information technology that is applicable and easy to implement. This community service activity aims to improve the technological literacy of the people of Kalijaga Tengah Village through training in the creation and operation of LED-based running text as a village information medium. This activity involved 25 participants consisting of village officials and the general public. The implementation method of the activity included preparation, socialization, practice-based training, evaluation, and follow-up. Evaluation was carried out through direct observation and a comparison of participants' levels of understanding before and after the training. The results of the activity showed a significant increase in participants' understanding of the functions, components, and operation of LED-based running text, with an average increase in understanding reaching more than 60%. This activity contributed to encouraging technological independence of village communities and the sustainable use of simple technology to support the effectiveness of village information dissemination.
IoT Sistem Pemantauan dan Kontrol Pencahayaan Lampu Jalan Berbasis IoT Arnila Sandi; M Nuzuluddin; Baiq Dewi Hariani
Jurnal PRINTER: Jurnal Pengembangan Rekayasa Informatika dan Komputer Vol. 4 No. 1 (2026): Jurnal PRINTER: Jurnal Pengembangan Rekayasa Informatika dan Komputer
Publisher : Fakultas Teknik Universitas Hamzanwadi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29408/jprinter.v4i1.35267

Abstract

Penerangan jalan umum (PJU) merupakan bagian infrastruktur jalan umum yang sangat penting untuk keselamatan pengguna jalan. Pada sistem PJU konvensional, lampu PJU akan menyala selama malam hari sampai menjelang pagi secara terus menerus tanpa ada pengontrolan dan monitoring. Selain itu, penggunaan lampu PJU juga masih membutuhkan daya yang besar, boros energi listrik, dan tidak terkendali. Oleh karena itu, pada penelitian ini dibuat sebuah alat yang mampu mengontrol tingkat penerangan lampu PJU berdasarkan jumlah orang dan juga mampu dimonitoring menggunakan sistem Internet of Things (IoT). Pada proses kendali, alat ini menggunakan Arduino untuk mengatur tegangan pada lampu penerangan dengan menggunakan AC light dimmer. Sedangkan pada proses monitoring, alat ini mengguakan sensor LDR untuk mendeteksi kondisi lampu dan ditampilkan pada web. Hasil penelitian ini menunjukkan bahwa sensor tegangan membaca 220-240 V dan sensor arus membaca sekitar 0,15 A pada keadaan lampu hidup. Pada keadaan lampu mati, sensor tegangan membaca 220-240 V dan sensor arus membaca sekitar 0,11 A. Pada keadaan lampu rusak, sensor arus membaca sekitar 0,04 A. Dengan adanya monitoring website, maka dapat lebih mudah dipantau karena dapat melihat data tegangan dan arus pada lampu sehingga diketahui kondisi lampu menyala atau mati.
Analisis Sentimen Komentar Masyarakat di Twitter Menggunakan Algoritma Support Vector Machine Arnila Sandi; Yahya; Muhammad Qusaeri
Infotek: Jurnal Informatika dan Teknologi Vol. 9 No. 2 (2026): Infotek : Jurnal Informatika dan Teknologi
Publisher : Fakultas Teknik Universitas Hamzanwadi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29408/jit.v9i2.35290

Abstract

Social media has become the primary means for the public to express their opinions on a wide range of issues, one of which is smartphone products. The social media platforms used to express opinions include Facebook, Instagram, Twitter, WhatsApp and YouTube. Twitter is one of the most widely used platforms for expressing opinions in the form of comments, which may be positive, negative or neutral. This study aims to classify the sentiment of Twitter users’ comments regarding smartphones using the Support Vector Machine (SVM) algorithm. The research employs a quantitative methodology. The data used consists of comments or text data in CSV format, which is processed through a series of pre-processing steps, including data cleaning, tokenisation, stop-word removal and stemming. This will be followed by sentiment modelling and an evaluation of the model’s performance. The results of the study show that the SVM method achieved an accuracy of 82,28%, a recall of 82,26%, a precision of 82,25%, and an F1-score of 82,25%. Based on these results, it can be concluded that the SVM algorithm performs well in sentiment analysis of social media data, particularly Twitter.
Klasterisasi Status Stunting pada Balita Menggunakan Algoritma K-Means Yahya; Nurhidayati; Fathurrahman; Arnila Sandi
Infotek: Jurnal Informatika dan Teknologi Vol. 9 No. 2 (2026): Infotek : Jurnal Informatika dan Teknologi
Publisher : Fakultas Teknik Universitas Hamzanwadi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29408/jit.v9i2.35298

Abstract

Stunting is a growth and development disorder in children due to chronic malnutrition and repeated infections characterized by below-standard height. Cadres conduct monthly Posyandu data collection by weighing and measuring toddlers. However, the Posyandu data results only become piles of paper in the cadres' homes. Based on these conditions, it is necessary to process data for clustering that can help the village government in grouping toddler data so that the government knows the number of stunted and normal toddlers, which can later be used as evaluation material in the future in taking action to reduce, prevent and overcome stunting cases. This study aims to group stunted and normal toddlers based on age, weight, and height variables. The method applied is data clustering using the K-Means Algorithm. The results of this study are clusters divided into 2 clusters, in cluster 1 there are 406 toddlers with normal status as many as 119 toddlers and toddlers with stunting status as many as 287 toddlers, while in cluster 2 there are 326 toddlers with normal status as many as 52 toddlers and toddlers with stunting status as many as 274 toddlers. A total of 171 toddlers with normal status, representing 23.4%, and 561 toddlers with stunting, representing 76.6%. These results demonstrate the critical need for support from integrated health posts (Posyandu) and relevant community health centers (Puskesmas) to parents of toddlers to reduce or even eliminate stunting in the following period.
Co-Authors Abdul Aziz Ahmad, Ramli Ahmadi, Ahwan Alfathani, Ahmad Soni Alimudin Alimudin, Alimudin Ari Satriadi Bahtiar Bakti Baiq Dewi Hariani Dewi P, Intan Komala Fathurrahman febriana, ira Hadian Mandala Putra Hizbul Izzi Jagat Sugiantara Kusnawi Kusnawi Kusrini M. Nuzuluddin Martua Hamonangan Nasution Muhammad Qusaeri Muhammad Qusyairi Muhammad Qusyairi nurhidayati, nur ida Nuzuluddin, M. Paizurrohman, Moh. Doni Putri, Intan Komala Dewi Satriadi, Ari Taufik Akbar Taufik Akbar Yahya Yahya, Yahya Yudha, Pramandane Setya Zul Hidayatullah