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All Journal Jurnal SOLMA Infotek : Jurnal Informatika dan Teknologi ABSYARA: Jurnal Pengabdian Pada Masyarakat Jurnal PRINTER : Jurnal Pengembangan Rekayasa Informatika dan Komputer
Intan Komala Dewi Patwari
Universitas Hamzanwadi
Agriculture, Biological Sciences & Forestry Computer Science & IT Control & Systems Engineering Earth & Planetary Sciences Education Electrical & Electronics Engineering Engineering Environmental Science Library & Information Science Mathematics Other

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Komparasi Metode Klasifikasi Data Mining Decision Tree dan Naïve Bayes Untuk Prediksi Penyakit Diabetes Permana, Baiq Andriska Candra; Patwari, Intan Komala Dewi
Infotek : Jurnal Informatika dan Teknologi Vol 4, No 1 (2021): Infotek : Jurnal Informatika dan Teknologi
Publisher : Fakultas Teknik Universitas Hamzanwadi

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (819.743 KB)

Abstract

Diabetes is a group of metabolic diseases which is indicated by the occurrence of hyperglycemia caused by abnormalities in insulin secretion in the body. Many deaths are caused by diabetes, if this disease is not treated immediately, diabetes can cause damage to other organs such as blindness, stores, heart problem and even kidney problem. A best method is needed in classifying diabetes in order to detect diabetes early. Research related to the classification of diabetes using several calcification methods has been done before. In this study, two classification methods were compared, namely decision tree and naïve Bayes. Measurement methods were carried out through cross validation. The results obtained from this study are the best algorithms among the two algorithms to determine diabetes sufferers
Komparasi Metode Klasifikasi Data Mining Decision Tree dan Naïve Bayes Untuk Prediksi Penyakit Diabetes Baiq Andriska Candra Permana; Intan Komala Dewi Patwari
Infotek: Jurnal Informatika dan Teknologi Vol 4, No 1 (2021): Infotek : Jurnal Informatika dan Teknologi
Publisher : Fakultas Teknik Universitas Hamzanwadi

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (819.743 KB) | DOI: 10.29408/jit.v4i1.2994

Abstract

Diabetes is a group of metabolic diseases which is indicated by the occurrence of hyperglycemia caused by abnormalities in insulin secretion in the body. Many deaths are caused by diabetes, if this disease is not treated immediately, diabetes can cause damage to other organs such as blindness, stores, heart problem and even kidney problem. A best method is needed in classifying diabetes in order to detect diabetes early. Research related to the classification of diabetes using several calcification methods has been done before. In this study, two classification methods were compared, namely decision tree and naïve Bayes. Measurement methods were carried out through cross validation. The results obtained from this study are the best algorithms among the two algorithms to determine diabetes sufferers
Pelatihan aplikasi komputer santri MDQH (Ma’had Darul Qur’an wal-Hadits) Almajidiah Asy-Syafi’ah NWDI-Pancor Taufik Akbar; Ahwan Ahmadi; Hadian Mandala Putra; M Nuzuluddin; Intan Komala Dewi Patwari; Alimudin Alimudin
ABSYARA: Jurnal Pengabdian Pada Masayarakat Vol 4 No 1 (2023): ABSYARA: Jurnal Pengabdian Pada Masyarakat
Publisher : Universitas Hamzanwadi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29408/ab.v4i1.18926

Abstract

In public perception, religious scholars (Ulama) serve as highly trusted sources of information, particularly within Indonesian society. Therefore, it is imperative to ensure that Ulama possesses adequate digital literacy to convey accurate and reliable information. This study aims to provide computer training to the students (santri) of Ma'had MQDH NW Pancor, enabling them to master relevant computer technologies and applications. The training primarily focuses on internet literacy and Microsoft Office applications, employing a combination of lectures and hands-on practice. Ten participants from various levels of study were involved in the program, which took place at Laboratory 1, Faculty of Engineering, Hamzanwadi University. The results of the training revealed that 57.1% of the participants expressed high satisfaction levels, while 71.4% reported an increase in their understanding after completing the training. In conclusion, this computer training program has demonstrated positive benefits in enhancing the digital comprehension and skills of the students, preparing them to tackle digital challenges in the future.
Sistem monitoring Kwh listrik dengan media kamera berbasis IoT Azmi, Ulul; Akbar, Taufik; Patwari, Intan Komala Dewi
Jurnal PRINTER: Jurnal Pengembangan Rekayasa Informatika dan Komputer Vol. 1 No. 1 (2023): 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.v1i1.6460

Abstract

Modernisasi sudah sangat berpengaruh dalam kehidupan masyarakat sekarang ini, dengan adanya era modern ini semua semua berhubungan dengan teknologi. Kebutuhan masyarakat akan listrik semakin tinggi dikarenakan penggunaan peralatan rumah tangga yang semakin berkembang dan memerlukan daya listrik.  walaupun perkembangan KWH meter semakin berkembang, terbukti masih banyak masyarakat yang menggunakan KWH listrik jenis lama atau KWH pascabayar, dimana setiap bulan masyarakat melakukan pembayaran. petugas PLN selalu datang berkunjung untuk mengambil data pada KWH Listrik tersebut, sering dijumpai petugas PLN hanya memotret atau mengambil gambar bagian pada meteren listrik tersebut, itu sebagai laporan atau data yang akan di proses nantinya, Namun bagi sebagian orang, masuknya petugas PLN ke dalam rumah untuk mencatat angka di meteran listrik dirasa mengganggu privasi terlebih lagi yang menaruh meteren listrik dalam rumah. Dari permasalah tersebut penulis menemukan ide untuk membuat sebuah alat monitoring KWH listrik dengan media kamera berbasis IoT, sehingga petugas PLN tidak perlu lagi mengambil gambar setiap bulanya kerumah masyarakat. alat ini memanfaatkan kamera ESP32-cam yang sudah di setting secara otomatis akan mengambil gambar sesuai perintah yang kita berikan kemudian hasilnya akan dikirimkan secara otomatis ke Google driveKata Kunci : Meteran listrik pascabayar, Esp32-cam, IoT, google drive
Sistem Monitoring Daya Listrik Berbasis IoT Media Kamera SIGIT, PUTRA ARI; Patwari, Intan Komala Dewi; Akbar, Taufik
Jurnal PRINTER: Jurnal Pengembangan Rekayasa Informatika dan Komputer Vol. 1 No. 2 (2023): 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.v1i2.23858

Abstract

Listrik sangat berpengaruh dalam kehidupan masyarakat sekarang ini, dengan adanya era modern ini semua semua berhubungan dengan teknologi. Kebutuhan masyarakat akan listrik semakin tinggi dikarenakan penggunaan peralatan rumah tangga yang semakin berkembang dan memerlukan daya listrik. walaupun perkembangan KWH meter semakin berkembang, terbukti masih banyak masyarakat yang menggunakan KWH meter jenis lama atau KWH meter pascabayar, dimana setiap bulan masyarakat melakukan pembayaran. petugas PLN selalu datang berkunjung untuk mengambil data pada KWH meter tersebut, Dimana dari permasalah tersebut penulis menemukan ide untuk membuat sebuah alat sistem monitoring daya listrik berbasis IoT media kamera. alat ini memanfaatkan kamera Esp32-cam dan memanfaatkan sensor PZEM004T yang sudah di setting secara otomatis akan mengambil gambar dan data sesuai perintah yang diberikan kemudian hasilnya akan dikirimkan secara otomatis ke Google drive dan thingspeak yang kemudian akan ditampilkan di WEB, dimana hasil dari pengujian yang dilakukan gambar hanya perlu waktu 5 detik untuk mengirimkan gambar ke google drive dan perbedaan dari hasil sensor PZEM004T dengan tang ampere sebagai pembanding hanya berselisih sekitar 00,1 sampai 00,2~. Yang kemudian hasil dari pengujian akan ditampilkan di website yang dirancang dengan platform google site.
Pelatihan Keamanan Siber Kolaboratif Bagi Siswa-Siswi SMA/MA Guna Menumbuhkan Budaya Sadar Keamanan Informasi Sejak Dini Ahmadi, Ahwan; Akbar, Taufik; Putra, Hadian Mandala; Ahmad, Ramli; Patwari, Intan Komala Dewi
Jurnal SOLMA Vol. 14 No. 3 (2025)
Publisher : Universitas Muhammadiyah Prof. DR. Hamka (UHAMKA Press)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22236/solma.v14i3.20758

Abstract

Pendahuluan: Program pelatihan keamanan siber kolaboratif bagi siswa-siswi SMA/MA unggulan se-Pulau Lombok bertujuan menumbuhkan budaya sadar keamanan informasi sejak dini. Kegiatan melibatkan sembilan sekolah dengan total 27 peserta. Metode: Teori, praktik, dan diskusi kelompok. Materi mencakup keamanan siber dasar, steganografi gambar, keamanan trivia, dan digital forensik. Tiga hari pertama berfokus pada pembekalan teori secara daring, sedangkan hari terakhir berupa praktik langsung di laboratorium Fakultas Teknik Universitas Hamzanwadi. Evaluasi dilakukan menggunakan kuis Google Form serta praktik analisis digital untuk mengukur pemahaman siswa.  Hasil: Peningkatan kemampuan peserta dalam menjawab soal teori dan praktik, serta pemahaman yang lebih baik terhadap teknik keamanan informasi. Kesimpulan: Program ini efektif dalam membangun kesadaran keamanan digital serta membuka peluang karier di bidang keamanan siber bagi generasi muda.
Rancang Bangun Sistem Pematangan Buah Pisang Berbasis Internet Of Things (IOT) Ramli Ahmad; Yuli Laily Niswani; Intan Komala Dewi Patwari
Infotek: Jurnal Informatika dan Teknologi Vol. 9 No. 1 (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.v9i1.33634

Abstract

The agricultural sector plays an important role in meeting the national food needs, particularly in the production of fruit. However, the storage and marinating of agricultural products still traditionally uses chemicals which may impair crop quality and pose risks to health and the environment. The development of Internet of Things (IoT) technologies offers more secure, efficient and controlled solutions through automated and real-time monitoring systems. The aim of this research is to design and build an Internet of Things-based banana ripening system capable of improving the safety, efficiency and quality of the ripening process. The research method used shall be an experimental method, testing all components of the system. The system is built on a microcontroller ESP32-CAM, a colour sensor for the detection of ripeness based on colour intensity, a DHT22 sensor for monitoring water temperature and humidity, a vibrating alarm for the environmental conditions and a Telegram application for real-time notifications. The test results showed that the colour sensor could distinguish between the condition of immature and mature fruit, indicating the inactive warning when green and active warning when yellow, and the notification sent to the user. The DHT22 sensor registers the average temperature and humidity between 27.50 and 33.20 degrees Celsius and if it exceeds this value, the cooling system is activated and a warning is sent. If network conditions are slow, there are delays in the delivery of notifications of around ±2-5 seconds. In conclusion, the developed maturity system, which is based on the Internet of Things, is capable of working automatically, securely and efficiently to monitor and control the maturity process in real time, with the potential to improve the quality and the value of agricultural products.
Co-Authors Ahmad, Ramli Ahmadi, Ahwan Alimudin Alimudin Baiq Andriska Candra Permana Hadian Mandala Putra M. Nuzuluddin Ramli Ahmad SIGIT, PUTRA ARI Taufik Akbar Ulul Azmi Yuli Laily Niswani