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All Journal 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)
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 Languange, Linguistic, Communication & Media 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.
Teknik Komputer Mengabdi : Pelatihan Komputer Di Yayasan Bina Insani Al Muhyin Naba Pringgasela Taufik Akbar; Muhammad Nuzuluddin; Hadian Mandala Putra; Ahwan Ahmadi; 'Alimudin 'Alimudin; Intan Komala Dewi Patwari
Jurnal Teknologi Informasi untuk Masyarakat Vol. 1 No. 2 (2023): Jurnal Teknologi Informasi untuk Masyarakat (Teknokrat)
Publisher : Universitas Hamzanwadi

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Abstract

The computer training at the Bina Insani Al Muhyin Naba' Foundation in the village of Pringgasela is a strategic effort to enhance digital literacy and technological skills among students at the junior high school level. This program discusses the implementation of computer training as an initiative to equip students with a profound understanding of computer usage and the latest technology. The training aims to prepare students for the digital era, provide equal access to educational opportunities, and stimulate local economic development. Through an integrated curriculum and active participation from stakeholders, computer training at the Bina Insani Al Muhyin Naba' Foundation in the village of Pringgasela creates an inclusive and sustainable learning environment. Evaluation results show a significant improvement in students' digital literacy, which is expected to contribute to their readiness to face the demands of an increasingly digitally connected society. By combining formal education approaches and community development, this computer training has the potential to create positive impacts not only within the school environment but also in enhancing the overall quality of life and economic potential of the Pringgasela community.
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.
Co-Authors 'Alimudin 'Alimudin Ahmadi, Ahwan Alimudin Alimudin Baiq Andriska Candra Permana Hadian Mandala Putra M. Nuzuluddin Muhammad Nuzuluddin SIGIT, PUTRA ARI Taufik Akbar Ulul Azmi