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All Journal Jurnal Ilmu Komputer dan Informasi Bulletin of Electrical Engineering and Informatics Bulletin of Electrical Engineering and Informatics JAIS (Journal of Applied Intelligent System) EMITTER International Journal of Engineering Technology JURNAL NASIONAL TEKNIK ELEKTRO InfoTekJar : Jurnal Nasional Informatika dan Teknologi Jaringan Bulletin of Electrical Engineering and Informatics Sistemasi: Jurnal Sistem Informasi JOURNAL OF APPLIED INFORMATICS AND COMPUTING JMM (Jurnal Masyarakat Mandiri) Jurnal Nasional Pendidikan Teknik Informatika (JANAPATI) J-Dinamika: Jurnal Pengabdian Kepada Masyarakat Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi) Journal of Advanced in Information and Industrial Technology (JAIIT) Jurnal Pengabdian Masyarakat Indonesia eProceedings of Engineering Journal of Future Artificial Intelligence and Technologies Sasambo: Jurnal Abdimas (Journal of Community Service) Proceeding of Community Service and Engagement
Farah Zakiyah Rahmanti
Telkom University
Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Education Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering Library & Information Science Public Health Social Sciences Other

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Pelatihan Pemanfaatan Tool Kolaborasi dan Pengolahan Data Online Bagi Seluruh Guru BK SMA/MA Kabupaten Situbondo Oktavia Ayu Permata; Khodijah Amiroh; Bernadus Anggo Seno Aji; Farah Zakiyah Rahmanti; Pangestu Widodo; Philip Tobianto Daely
J-Dinamika : Jurnal Pengabdian Masyarakat Vol 5 No 1 (2020): Juni
Publisher : Politeknik Negeri Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25047/j-dinamika.v5i1.1234

Abstract

Kemajuan perkembangan teknologi informasi dan komunikasi diiringi dengan munculnya berbagai aplikasi yang dapat menunjang kemudahan dalam beraktivitas sehari – hari. Google sebagai salah satu penyedia produk dan layanan berbagai aplikasi menyediakan berbagai fitur yang dapat diakses oleh masyarakat luas seperti teknologi pencarian, komputasi web, perangkat lunak, dan periklanan. Tidak hanya untuk keperluan bisnis, Google juga merambah ke sektor pendidikan dalam upaya peningkatan kualitas pendidikan melalui penyediaan tool yang interaktif. Salah satunya melalui tool kolaborasi dan pengolahan data online yang menggunakan Google Sheets dan Google Forms. Melalui kedua tool tersebut civitas academia dapat saling berkolaborasi dan berinteraksi secara online. Namun kemajuan teknologi tidak akan ada manfaatnya jika masyarakat tidak bisa memanfaatkan atau menggunakan tool tersebut secara optimal. Untuk itu kegiatan pengabdian masyarakat ini dibuat dalam bentuk pelatihan dengan tema pemanfaatan tool kolaborasi dan pengolahan data online. Setelah melakukan survei terhadap masyarakat sasar sebelum kegiatan berlangsung, diketahui bahwa Google Sheets dan Google Forms masih minim penggunanya. Untuk itu diadakan pelatihan pemanfaatan tool kolaborasi dan pengolahan data online menggunakan Google Sheets dan Google Forms bagi seluruh Guru BK SMA/MA Kabupaten Situbondo untuk meningkatkan kompetensi dan kualitas sistem pengajaran di sekolah. Dari hasil pelaksanaan diketahui bahwa pelatihan ini mampu meningkatkan kompetensi Guru BK SMA/MA Kabupaten Situbondo yang dapat dilihat dari kemampuan mengoperasikan dan menggunakan Google Sheets dan Google Forms selama pelatihan dan setelahnya.
The Development of Berbakti: Elder Caring Mobile Application in Indonesia Septian Enggar Sukmana; Heru Agus Santoso; Fahri Firdausillah; Adhitya Nugraha; Farah Zakiyah Rahmanti; Arkav Juliandri
Journal of Applied Informatics and Computing Vol 3 No 2 (2019): Desember 2019
Publisher : Politeknik Negeri Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (806.047 KB) | DOI: 10.30871/jaic.v3i2.1501

Abstract

Children must care their parent as their devotion to their parent. In Indonesia, that kind condition is a common situation. But, to handling this situation in this global era is more difficult because many children choose going to another city or another region to do some activity like taking a job or going to college. It gives an impact to their parent especially when their parent is too old and needs to be cared. This motivation in this paper is based on this kind problem. The development of application uses Waterfall. The system must meet the requirement so not just technichal development is performed, social study must be conducted in the process. We use several testings such blackbox testing, server testing, and usefulness identity. Commonly, we got unsatisfied result based on testing, so some repairement must be conducted.
Pengenalan Pemrograman Perangkat Bergerak bagi Siswa SMA/SMK dalam Kegiatan Seminar Ilmiah Populer Online Farah Zakiyah Rahmanti; Bernadus Anggo Seno Aji; Khodijah Amiroh; Helmy Widyantara; Oktavia Ayu Permata; Ignatia Indreswari; Muhammad Iqbal Maulana; Muhammad Rafi Irzam
Jurnal Pengabdian Masyarakat Indonesia Vol 2 No 3 (2022): JPMI - Juni 2022
Publisher : CV Infinite Corporation

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52436/1.jpmi.596

Abstract

Kegiatan pengabdian masyarakat ini memiliki latar belakang dimana kegiatan siswa SMA/SMK khususnya anak kelas XII di sekolah pada bulan Mei sudah tidak ada kegiatan akademik. Kegiatan siswa/SMK pada bulan Mei biasanya sedang mengikuti UTBK untuk melanjutkan jenjang pendidikan berikutnya. Kegiatan ini bermaksud untuk memfasilitasi pengetahuan awal di bidang Teknologi Informasi dan Komunikasi (TIK) sebelum siswa SMA/SMK masuk ke bangku perkuliahan. Program kegiatan Seminar Ilmiah Populer (SIP) online merupakan kegiatan pengabdian masyarakat yang memberikan banyak manfaat bagi siswa SMA/SMK yang sedang berada di rumah selama kondisi pandemik. Siswa SMA/SMK mendapatkan banyak ilmu terkait teknologi informasi pada perangkat bergerak. Siswa SMA/SMK dapat mengenal lebih awal tentang pemrograman mobile agar dapat membuat aplikasi yang dapat berjalan pada perangkat bergerak. Perangkat yang dimaksud adalah ponsel pintar, tablet, jam pintar, dan gelang pintar. Tujuan akhir dari program pengabdian masyarakat ini adalah siswa-siswa SMA/SMK dapat menambah wawasannya tentang bagaimana membuat aplikasi perangkat bergerak, serta dapat mengetahui perangkat lunak apa saja yang perlu disiapkan.
Leaf Health Identification on Melon Plants Using Convolutional Neural Network Farah Zakiyah Rahmanti; Bernadus Anggo Seno Aji; Oktavia Ayu Permata; Berliana Amelia; M. Hamim Zajuli Al Faroby
Jurnal Nasional Pendidikan Teknik Informatika : JANAPATI Vol. 12 No. 1 (2023)
Publisher : Prodi Pendidikan Teknik Informatika Universitas Pendidikan Ganesha

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23887/janapati.v12i1.58492

Abstract

Plants require complete nutrients to grow well and produce good-quality products. Some examples of symptoms in plants that lack nutrients such as wrinkled leaves and slow ripening of fruit, so plants are less productive. Plants that lack nutrients are unhealthy plants. This research aims to identify healthy and unhealthy leaves on melon plants so that immediate action can be taken to deal with them. This research will be useful for melon farmers everywhere. The dataset used is data taken directly using a digital camera with the help of melon farmers to label each data, both healthy and unhealthy leaves. This research has two main works, they are the training process and the testing process. The proposed research uses the Convolutional Neural Network (CNN) method with 10 epochs. The test results on the 20-test data achieve 100% accuracy. We used accuracy, precision, recall, and f1-score to evaluate the classification method.
Implementasi Sistem Rekomendasi Rute Penanganan Gangguan Berbasis Android menggunakan Best First Search Nurdin, Abdul Muhamin; Nusyura, Fauzan; Rahmanti, Farah Zakiyah
Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi) Vol 7 No 4 (2023): OCTOBER-DECEMBER 2023
Publisher : Lembaga Otonom Lembaga Informasi dan Riset Indonesia (KITA INFO dan RISET)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/jtik.v7i4.1026

Abstract

The field of information and communication technology essentially has increased development along with increasing access to information which alternates with the internet network which allows computers to be connected to each other. An internet provider is an organization that provides internet access services to its customers. Customer satisfaction with internet services is crucial, so handling internet disruption reports is also a primary focus. The process of following up on internet disruption complaints sometimes requires a long time because there is no recommended route to be resolved by technicians. Therefore, this research aims to provide a solution for recommending the shortest route using the Best First Search method based on Android. The result of this research is a mobile application for technicians to resolve visited disruption points based on the shortest route.
Implementasi Sistem Rekomendasi Tipe Rumah Menggunakan Metode Naïve Bayes Iqbal, Mohammad; AjiAji, Bernadus Anggo Seno; Rahmanti, Farah Zakiyah
Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi) Vol 7 No 4 (2023): OCTOBER-DECEMBER 2023
Publisher : Lembaga Otonom Lembaga Informasi dan Riset Indonesia (KITA INFO dan RISET)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/jtik.v7i4.1030

Abstract

This research aims to overcome the challenges faced in the marketing sector, where data recording is still done manually, which can lead to data loss and time inefficiencies in the department. Finance department organizes data. Data used in this study were collected through stakeholder interviews and direct field observations. The data used for Naïve Bayes classification were obtained from the results of questionnaires completed by buyers, with a total of 62 data collected. The information system proposed in this study is built on a web platform using MySQL database and PHP programming language, using Laravel Framework. To understand the system flow in a structured way, architectural diagrams are used, while functional workflows are explained using diagrams. The result of this research is to design a system that can help housing development companies manage management and make house type recommendations to potential buyers.
Sistem Informasi Geografis (SIG) Pencarian Wisata di Probolinggo Menggunakan Sequential Search dan Location Based Service (LBS) Ainin Fadlilah, Annisa; Putro , Fidi Wincoko; Rahmanti, Farah Zakiyah
Journal of Advances in Information and Industrial Technology Vol. 5 No. 2 (2023): Nov
Publisher : LPPM Telkom University Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52435/jaiit.v5i2.376

Abstract

Probolinggo merupakan daerah yang terdiri atas kota dan kabupaten. Berada pada lokasi yang strategis, menjadikan Probolinggo sebagai daerah transit atau tempat beristirahat bagi masyarakat yang akan pergi ke kota-kota di sekitarnya. Probolinggo memiliki destinasi wisata menarik yang memikat para peminatnya. Akan tetapi, dari sekian destinasi wisata hingga kuliner yang ada, tidak sedikit di antaranya masih jarang dikunjungi atau kurang terekspos. Hal ini disebabkan karena kurangnya informasi mengenai lokasi wisata, sehingga tidak jarang calon pengunjung merasa ragu-ragu ketika ingin mengunjungi suatu destinasi wisata. Solusi dalam mengatasi situasi tersebut, dibangun sistem informasi geografis yang dijalankan melalui situs web, dengan menerapkan algoritma pencarian sequential search dan metode Location Based Service. Sistem ini berhasil mengakses lokasi pengguna dan menguji algoritma pencarian lokasi wisata dengan akurasi 100%. Sedangkan pengujian yang menerapkan metode System Usability Scale, mendapat nilai sebesar 78.25, berarti termasuk ke dalam grade C, dengan adjective ratings yaitu good, serta acceptability ratings bernilai acceptable.
Aplikasi Android untuk Rekomendasi Pemilihan Buah Anggur Hijau Menggunakan VGG16 Setyawan, Nathanael Ferdian Putra; Nusyura, Fauzan; Wicaksono, Ardian Yusuf; Rahmanti, Farah Zakiyah
Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi) Vol 9 No 1 (2025): JANUARI-MARET 2025
Publisher : Lembaga Otonom Lembaga Informasi dan Riset Indonesia (KITA INFO dan RISET)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/jtik.v9i1.3152

Abstract

This study focuses on developing an Android-based recommender system using convolutional neural networks (CNNs) to select high-quality grapes. The main objective of this study is to compare the performance of two popular CNN architectures, VGG16 and ResNet18, in classifying the quality of sour grapes. The subjective and time-consuming nature of conventional methods prompted us to search for a more efficient solution.The dataset used consists of 282 images of green grapes. The evaluation results show that the VGG16 model achieves 93% accuracy in classifying grape quality, outperforming the ResNet18 model with only 82% accuracy. These results indicate that the VGG16 architecture is more suitable for this classification task. The development of this system is expected to contribute to smart agricultural automation to improve efficiency and support the food industry.
Implementasi Aplikasi Web Pemilihan Kelas Berdasarkan Minat Menggunakan Algoritma K-Means Clustering Rose, Clarenza Dixie; Aji, Bernadus Anggo Seno; Rahmanti, Farah Zakiyah
Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi) Vol 9 No 1 (2025): JANUARI-MARET 2025
Publisher : Lembaga Otonom Lembaga Informasi dan Riset Indonesia (KITA INFO dan RISET)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/jtik.v9i1.3165

Abstract

Giki High School has a large number of 10th grade students and the need to provide class recommendations based on student interests in current subjects is done conventionally. This study aims to help schools make more informed decisions in class selection. This study implements a web application. The implementation of the category selection web application was created using the K-means Clustering algorithm and integrated into the web using Tkinter as the standard GUI library for Python. This implementation goal is to make school life easier to determine class recommendations for students. Results of the K-Means algorithm produce 4 clusters: Cluster 1 (Indonesian, Social Studies, and Mathematics), Cluster 2 (English), Cluster 3 (Indonesian and Science), Cluster 4 (English and Science) with the Silhouette Score results giving a score of 0.6233 which indicates that the score calculation is at 0 that the data point is the center of each cluster.
Analyzing Quantum Feature Engineering and Balancing Strategies Effect on Liver Disease Classification Safriandono, Achmad Nuruddin; Setiadi, De Rosal Ignatius Moses; Dahlan, Akhmad; Rahmanti, Farah Zakiyah; Wibisono, Iwan Setiawan; Ojugo, Arnold Adimabua
Journal of Future Artificial Intelligence and Technologies Vol. 1 No. 1 (2024): June 2024
Publisher : Future Techno Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62411/faith.2024-12

Abstract

This research aims to improve the accuracy of liver disease classification using Quantum Feature Engineering (QFE) and the Synthetic Minority Over-sampling Tech-nique and Tomek Links (SMOTE-Tomek) data balancing technique. Four machine learning models were compared in this research, namely eXtreme Gradient Boosting (XGB), Random Forest (RF), Support Vector Machine (SVM), and Logistic Regression (LR) on the Indian Liver Patient Dataset (ILPD) dataset. QFE is applied to capture correlations and complex patterns in the data, while SMOTE-Tomek is used to address data imbalances. The results showed that QFE significantly improved LR performance in terms of recall and specificity up to 99%, which is very important in medical diagnosis. The combination of QFE and SMOTE-Tomek gives the best results for the XGB method with an accuracy of 81%, recall of 90%, and f1-score of 83%. This study concludes that the use of QFE and data balancing techniques can improve liver disease classification performance in general.
Co-Authors Achmad Nuruddin Safriandono Adhitya Nugraha Adi, Prajanto Wahyu Ainin Fadlilah, Annisa Akhmad Dahlan Anas Ittaqullah Ardian Yusuf Wicaksono Ardyono Priyadi Arkav Juliandri Ataka, Ion Berliana Amelia Bernadus Anggo Seno AjiAji Clarenza Dixie Rose Daniel Happy Putra De Rosal Ignatius Moses Setiadi Dean Igo Wibowo Diah Puspito Wulandari Dimas Bagus Saputro Edy Winarno Eko Mulyanto Yuniarno Endah Suryawati Ningrum Fahri Firdausillah Fauzan Nusyura Fayruz Rahma Gede Aditra Pradnyana Helmy Widyantara Heru Agus Santoso Ignatia Indreswari Ilmirrizki Imaduddin Ion Ataka Iwan Setiawan Wibisono Juniyanto, Muhammad Ma'sum Khodijah Amiroh Kristoforus Ferel Viandito M. Rafi Hizdarandha Riswant Mauridhi Hery Purnomo Moch. Iskandar Riansyah Moch. Iskandar Riansyah Mohammad Hamim Zajuli Al Faroby Muhammad Adib Kamali Muhammad Ali Ridho Muhammad Hasan Basri Muhammad Iqbal Maulana Muhammad Najib Miftahul Huda Muhammad Rafi Irzam Nathanael Ferdian Putra Setyawan Novita Kurnia Ningrum Nurdin, Abdul Muhamin Nusyura, Fauzan Oddy Virgantara Putra Ojugo, Arnold Adimabua Oktavia Ayu Permata Pangestu Widodo, Pangestu Philip Tobianto Daely Prajanto Wahyu Adi Prajanto Wahyu Adi Ramadhan, Muhammad Akbar Rose, Clarenza Dixie Septian Enggar Sukmana Setyawan, Nathanael Ferdian Putra Tri Arief Sardjono Widi Pangestu Danar Wijanarko Wincoko Putro, Fidi Yohanes Setiawan