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All Journal Jurnal Teknologi dan Manajemen Informatika JTERA (Jurnal Teknologi Rekayasa) JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) EDUMATIC: Jurnal Pendidikan Informatika Building of Informatics, Technology and Science Journal Cerita: Creative Education of Research in Information Technology and Artificial Informatics Jurnal Bakti Masyarakat Indonesia Jurnal Teknologi Informatika dan Komputer Idealis : Indonesia Journal Information System SKANIKA: Sistem Komputer dan Teknik Informatika Jurasik (Jurnal Riset Sistem Informasi dan Teknik Informatika) Jurnal Computer Science and Information Technology (CoSciTech) Society: Jurnal Pengabdian Masyarakat Jurnal Pengabdian Masyarakat Bhinneka SmartComp Indonesian Journal of Community Empowerment
Insany, Gina Purnama
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Klasifikasi Tanaman Hias Philodendron Berdasarkan Citra Daun Menggunakan Metode Convolutional Neural Network Al-Basori, Muhamad Cepnur; Insany, Gina Purnama; Kharisma, Ivana Lucia
Journal Cerita: Creative Education of Research in Information Technology and Artificial Informatics Vol 10 No 2 (2024): Journal CERITA : Creative Education of Research in Information Technology and Ar
Publisher : UNIVERSITAS RAHARJA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33050/cerita.v10i2.3238

Abstract

Philodendron ornamental plants have a unique and varied aesthetic beauty, making them sought after in the landscaping and decoration industry. However, accurate classification of the various Philodendron species is challenging due to their morphological similarities and complex variations. In this research, an approach using Convolutional Neural Networks (CNN) is introduced to classify Philodendron ornamental plants based on the image of their leaves. This method aims to automatically identify Philodendron species through the use of artificial neural networks trained on leaf images. A CNN architecture was developed which includes a convolution layer and a max-pooling layer to extract features from the input image hierarchically. Also applied are data augmentation techniques to increase the variety of training samples and reduce overfitting. Experimental results show that the proposed CNN method is able to classify Philodendron ornamental plants with good accuracy, reaching 95,00% on the test dataset. This research contributes to the development of an automatic system for identifying Philodendron ornamental plants, which can be used in planting, plant care and plant identification applications.
IMPLEMENTATION OF THE LOCAL OUTLIER FACTOR MODEL FOR ANOMALY DETECTION IN KPU SUKABUMI REGENCY VOTER DATA Nugraha, Nugraha; Insany, Gina Purnama; Wardana, Roihan Kusuma
JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) Vol 10, No 1 (2025)
Publisher : STKIP PGRI Tulungagung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29100/jipi.v10i1.5795

Abstract

General elections are one of the most significant political activities in the life of a nation, necessitating accurate and reliable voter data. Inaccurate or unreliable voter data can lead to various issues, such as electoral fraud. One primary cause of inaccurate voter data is the presence of anomalies, which are data points that do not match the actual conditions. Anomalies in voter data can arise from several factors, including data entry errors, fraud, or system faults. To detect anomalies in voter data, various methods can be employed, with the Local Outlier Factor (LOF) method being one notable example. LOF is an unsupervised learning method in machine learning that identifies anomalies by measuring the distance between data points and their nearest neighbors. This study aims to implement the LOF method to detect anomalies in the voter data of the Sukabumi Regency Election Commission. The voter data used in this research was obtained from the Sukabumi Regency Election Commission for the year 2024.
Analisis Clustering Data Penyandang Disabilitas Menggunakan Metode Agglomerative Hierarchical Clustering dan K-means Sujjada, Alun; Insany, Gina Purnama; Noer, Silvia
Jurnal Teknologi dan Manajemen Informatika Vol. 10 No. 1 (2024): Juni 2024
Publisher : Universitas Merdeka Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26905/jtmi.v10i1.10654

Abstract

Disability issues are still a major concern in society due to the discrimination often faced by people with disabilities. Many of them have abilities that are equal to individuals without physical limitations. Through this case study, this research aims to Cluster disability data by considering three types of disabilities: physical, visual and hearing, and hearing and speech using agglomerative hierachical Clustering and kmeans methods. This research was conducted by analyzing data from people with disabilities in 7 provinces in Indonesia. K-means to group data and agglomerative hierarchical Clustering as a centroid determinant in k-means. to enrich the results of data analysis, the EDA (Exploratory Data Analysis) process is used to identify outliers and anomalies. The results of the data analysis show that there are three main Clusters. The first Cluster has a high level of disability and includes 62 cities and districts, the second Cluster has a medium level of disability with 37 cities and districts, and the third Cluster has a low level of disability with 27 cities and districts. The best evaluation using the Davies Bouldin Index method resulted in two Clusters, indicating a better quality of Cluster division. The results of this study provide a better understanding of the distribution of disability in Indonesia, which can be used as a foundation to improve inclusion and accessibility for people with disabilities. Further recommendations can be made based on these findings to improve their situation in terms of employment and education.
PERANCANGAN ALAT SOLAR DEHIDRATOR BERBASIS IOTSEBAGAI SOLUSI ALTERNATIF UNTUK PROSES PENGERINGANBAHAN PANGAN Kamdan; Munandar, Rifki Arief; Perkasa, M. Juang Pajri; Ramdan, Hari Muhammad; Kustandi, Agus; Gunawan, Muhamad Sahrul; Yusuf, Maulana; Kharisma, Ivana Lucia; Insany, Gina Purnama
MAJU : Indonesian Journal of Community Empowerment Vol. 2 No. 3 (2025): MAJU : Indonesian Journal of Community Empowerment, Mei 2025
Publisher : Lembaga Pendidikan dan Penelitian Manggala Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62335/maju.v2i3.1275

Abstract

The design of a solar powered dehydrator based on the Internet of Things (IoT) is an alternative solution for the drying process of natural products. This technology aims to optimize drying through measured temperature and humidity control, which is important in maintaining the quality of the dried material. IoT integration enables real-time monitoring and automatic adjustment of drying parameters, ensuring the process remains consistent and eficient. This system can be an innovative solution for small and medium enterprises (SMEs) in the agricultural and herbal sectors, overcoming common challenges in traditional drying methods, such as dependence on weather conditions and uneven drying results. Through trials and testing, this solar dehydrator demonstrated increased ef iciency.
The Role of Mobile Library Program and Learning Assistance in Increasing Literacy Interest of Elementary Student at Cimaja Village Futri, Dila Aura; Insany, Gina Purnama; Medal Wangi, Shanika Layung; Munggaran, Dava Febrian; Bunga, Siti; Naufal, Ripki Tri
Society : Jurnal Pengabdian Masyarakat Vol. 3 No. 3 (2024): Mei
Publisher : Edumedia Solution

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55824/jpm.v3i3.406

Abstract

Cimaja Village has a low literacy rate of only 53%, which is concerning because it shows a gap in the community's access to education and comprehension of information. Early literacy program implementation for primary school students can benefit the village's development and provide a solid basis for later, more complex learning. The KKN Cimaja Village group organizes mentoring and mobile library programs at Cimaja Village, Sukabumi Regency, with the goal of enhancing literacy among elementary school students. Learning about reading, writing, and numeracy is integrated through the use of the Balanced Literacy approach. The primary school pupils at Cimaja Village have embraced this program wholeheartedly. Students' reading skills have significantly improved, according to observations.
Pengujian Kualitas Perangkat Lunak Website Siakad Nusa Putra Berdasarkan Standar ISO 9126 Yustiana, Indra; Insany, Gina Purnama; Putri, Azzahra
Jurnal Teknologi Informatika dan Komputer Vol. 10 No. 2 (2024): Jurnal Teknologi Informatika dan Komputer
Publisher : Universitas Mohammad Husni Thamrin

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37012/jtik.v10i2.2212

Abstract

Dalam era digital saat ini, penggunaan sistem informasi menjadi semakin penting, terutama dalam konteks pendidikan. Sistem Informasi Akademik Nusa Putra adalah media pengolahan data akademik yang didalamnya terdapat jadwal mahasiswa, nilai mahasiswa, administrasi, KHS (Kartu HasiL Studi), serta informasi lainnya yang berkaitan dengan kegiatan kampus. Penelitian ini bertujuan untuk melakukan pengujian kualitas website Siakad Nusa Putra berdasarkan standar ISO/IEC 9126 dan menggunakan software Webserver Stress Tools. Hasil penelitian ini merupakan hasil dari pengujian yang dilakukan terhadap Sistem Informasi Akademik (Siakad) Nusa Putra yang meliputi lima aspek yaitu functionality, usability, reliability, efficiency, dan portability. Pengujian functionality menunjukkan bahwa persentase keberhasilannya mencapai 92,94%, yang berada dalam kategori "Sangat tinggi" dari segi fungsionalitas. Pengujian menunjukkan bahwa mayoritas responden merasa puas dengan kegunaan website SIAKAD Nusa Putra. Hasil perhitungan data kuisioner menunjukkan kegunaannya adalah 84%, yang termasuk dalam kategori "Sangat Baik" dan memenuhi aspek usability. Pengujian reliability sistem menunjukkan bahwa persentase keberhasilan pengujian mencapai 100%. Pengujian efficiency menggunakan GTMetrix menunjukkan bahwa website Siakad Nusa Putra mendapatkan grade D dengan performa yang memerlukan perbaikan. Pengujian aspek portability menunjukkan bahwa Siakad Nusa Putra berfungsi dengan baik pada semua browser desktop dan browser mobile. Dapat disimpulkan bahwa Sistem Informasi Akademik Nusa Putra telah memenuhi aspek-aspek yang diuji dengan kriteria yang sangat baik.
Pemanfaatan Teknologi dalam Penerapan Presensi Digital Berbasis QR-Code Di SDN Gunung Cabe Desa Cimaja Agung, Dede; Kharisma, Ivana Lucia; Insany, Gina Purnama; Kamdan; Rahman, Wigi Januar; Purba, Raihan Lutfhi; Delia Nur Annisa, Delia Nur; Zakaria, Muhammad Maulana; Yansah, Ardi
Jurnal Bakti Masyarakat Indonesia Vol. 6 No. 3 (2023): Jurnal Bakti Masyarakat Indonesia
Publisher : Lembaga Penelitian dan Pengabdian kepada Masyarakat, Universitas Tarumanagara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24912/jbmi.v6i3.26721

Abstract

In the current era, technology is considered a basic need that can make various jobs easier, including in the field ofeducation. However, knowledge about the use of technology is still uneven, especially in the educational context.Cimaja Village is a relatively advanced village where the people have a high interest in higher education. AtGunung Cabe Elementary School, student attendance is still recorded by recording in a book, referring to the use ofa paper calendar and keeping a physical attendance book. Recording with this system is susceptible to the risk ofdamage and loss of documents. Therefore, the Cimaja village KKN team created a digital attendance recordingsystem by implementing QR-Code technology which is connected to the student database. The aim of this activity isto simplify and increase the efficiency of the student attendance process with greater accuracy and speed. Apartfrom that, attendance results can be accessed mobile. The implementation of QR-Code based digital attendance isconsidered more effective than the manual attendance method using a book. During its implementation, teachersand students will gain new knowledge about the use of technology in QR-Code based digital attendance, as well asdevelop new skills in using the system. Thus, it can be concluded that this PKM activity has succeeded in changingthe situation for partners, namely SDN Gunung Cabe, through the implementation of presence using QR-Code. Theuse of this technology makes a positive contribution in increasing the efficiency and effectiveness of studentattendance management at school. ABSTRAK: Dalam era saat ini, teknologi dianggap sebagai kebutuhan pokok yang dapat mempermudah berbagai pekerjaan,termasuk dalam bidang pendidikan. Namun, pengetahuan tentang pemanfaatan teknologi masih belum merata,terutama dalam konteks pendidikan. Desa Cimaja merupakan desa yang tergolong maju dimana masyarakatnyamemiliki minat yang tinggi terhadap pendidikan yang tinggi. Pada SDN Gunung Cabe, pencatatan presensi siswamasih dilakukan dengan cara mencatat pada buku, mengacu pada penggunaan kalender kertas serta menyimpanbuku absensi secara fisik. Pencatatan dengan sistem ini rentan terhadap risiko kerusakan dan kehilangan dokumen.Oleh karena itu, tim KKN desa Cimaja membuat sebuah sistem pencatatan presensi secara digital denganmenerapkan teknologi QR-Code yang terkoneksi dengan database siswa. Tujuan dari kegiatan ini adalah untukmempermudah dan meningkatkan efisiensi proses presensi siswa dengan akurasi dan kecepatan yang lebih tinggi.Selain itu, hasil presensi dapat diakses secara mobile. Implementasi presensi digital berbasis QR-Code ini dianggaplebih efektif daripada metode presensi manual menggunakan buku. Selama pelaksanaannya, guru dan siswa akanmendapatkan pengetahuan baru tentang pemanfaatan teknologi dalam presensi digital berbasis QR-Code, sertamengembangkan keterampilan baru dalam menggunakan sistem tersebut. Dengan demikian, dapat disimpulkanbahwa kegiatan PKM ini berhasil mengubah keadaan pada mitra, yaitu SDN Gunung Cabe, melalui penerapanpresensi menggunakan QR-Code. Penggunaan teknologi ini memberikan kontribusi positif dalam meningkatkanefisiensi dan efektivitas manajemen kehadiran siswa di sekolah.
Implementasi Convolutional Neural Network untuk Deteksi Penyakit pada Daun Cengkeh Berbasis Mobile: Bahasa Indonesia Junmulyana, Satria; Fergina, Anggun; Insany, Gina Purnama
Computer Science and Information Technology Vol 6 No 3 (2025): Jurnal Computer Science and Information Technology (CoSciTech)
Publisher : Universitas Muhammadiyah Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37859/coscitech.v6i3.9895

Abstract

Clove (Syzygium aromaticum) is a spice crop that has high economic value, but faces serious threats from various diseases that can reduce yields. Early detection of disease in clove plants is very important to prevent greater losses. This research aims to develop a disease detection system for clove plants using Convolutional Neural Network (CNN) implemented in a mobile application. This method is expected to provide a faster and more accurate solution compared to traditional detection methods that are often inefficient. This research was conducted by collecting datasets of infected and healthy clove leaf images, which were then used to train the CNN model. The results show that the developed CNN model is able to achieve high disease detection accuracy, and can be integrated with mobile technology to facilitate farmers in identifying diseases in real-time. Thus, this research not only contributes to increasing agricultural productivity, but also supports the application of digital technology in the agricultural sector. The results of this research are expected to benefit farmers, researchers, and the agricultural industry as a whole.
Implementasi Teknologi YOLOv8n dan IoT pada Alat Pengusir Hama Burung dengan Raspberry Pi Bertenaga Solar Panel Kharisma, Ivana Lucia; Kamdan, Kamdan; Insany, Gina Purnama; Firdaus, Asep Rizki; Nasrulloh, Dendi
JTERA (Jurnal Teknologi Rekayasa) Vol 10, No 2: Desember 2025
Publisher : Politeknik Sukabumi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31544/jtera.v10.i2.2025.35-44

Abstract

Hama burung adalah salah satu tantangan serius yang dihadapi pada sektor pertanian. Metode tradisional yang dilakukan untuk mengatasi hama burung hanya memberikan solusi sementara dan juga mengakibatkan petani tidak dapat melakukan aktifitas lainnya, karena harus menjaga sawah secara terus menerus. Untuk optimalisasi serta untuk mengatasi permasalahan yang muncul pada perancangan alat sebelumnya yaitu kendala pada koneksi internet yang tidak stabil, sumber listrik yang terbatas serta permasalahan penyimpanan lokal pada alat , dibutuhkan integrasi antara konsep kecerdasan buatan (AI) dan Internet of Thing (IoT). Pengembangan alat menggunakan model deteksi objek versi YOLOv8nano, Raspberry Pi sebagai Single Board Computer dan penambahan solar panel . Pengujian yang dilakukan secara langsung menunjukkan bahwa fungsionalitas dan kinerja alat telah sesuai dengan yang diharapkan. Alat mampu mendeteksi objek burung dengan kinerja nilai rata-rata confidence score 74,64%, sedangkan pada pengujian solar panel menunjukkan hasil daya listrik yang mampu disimpan dalam durasi waktu 12 rata-rata sebesar 13,31 volt. Penambahan sebuah dashboard monitoring, bermanfaat untuk memberikan informasi kinerja alat.  Terpenuhinya semua proses pengujian menunjukkan bahwa alat pengusir burung ini memiliki potensi besar untuk memudahkan petani dalam mengatasi masalah hama burung secara lebih efektif, sehingga mengurangi ketergantungan pada metode tradisional.
Optimalisasi Smart Watering Berbasis Iot dengan Kontrol Fuzzy Sugeno untuk Kebutuhan Air dan Nutrisi pada Budidaya Melon Hidroponik di Greenhouse insany, gina purnama
JTERA (Jurnal Teknologi Rekayasa) Vol 10, No 2: Desember 2025
Publisher : Politeknik Sukabumi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31544/jtera.v10.i2.2025.69-78

Abstract

Budidaya melon secara hidroponik di greenhouse memiliki tantangan signifikan dalam pengelolaan air dan nutrisi. Sistem irigasi konvensional kurang efisien dalam mendistribusikan air dan nutrisi sesuai dengan kebutuhan tanaman, sehingga mengakibatkan pertumbuhan melon tidak optimal. Berdasarkan permasalahan tersebut, peneliti mengembangkan suatu sistem smart watering berbasis Internet of Things (IoT) untuk memantau kebutuhan air dan nutrisi secara otomatis, mengimplementasikan logika fuzzy sugeno sebagai kontrol sistem cerdas yang mengolah data sensor (pH, suhu dan TDS) untuk takaran optimal pemberian air dan nutrisi. Metode penelitian ini metode kuantitatif-eksperimen dengan pendekatan IoT dan kontrol fuzzy sugeno. Sistem smart watering akan dikembangkan menggunakan sensor pH, suhu, dan Total Dissolved Solids (TDS) yang terhubung ke ESP32 mikrokontroler berbasis IoT. Data yang diperoleh akan diolah menggunakan algoritma fuzzy logic untuk menentukan jumlah air dan nutrisi yang diberikan kepada tanaman melon secara real-time. Pengujian dilakukan dalam lingkungan greenhouse dengan perbandingan antara sistem konvensional dan sistem berbasis fuzzy. Parameter yang diukur meliputi efisiensi penggunaan air, pertumbuhan tanaman (tinggi, jumlah daun, dan bobot buah), serta kestabilan pH dan nutrisi dalam larutan hidroponik.
Co-Authors adang badru jaman,anggun fergina, adang badru jaman,anggun fergina AGUNG, DEDE Al-Basori, Muhamad Cepnur Alun Sujjada Amalia, Phina Putri Bunga, Siti Dede Sukmawan Delia Nur Annisa, Delia Nur Firdaus, Asep Rizki Futri, Dila Aura Gunawan, Muhamad Sahrul Haq, Muhammad Raihan Izharul Junmulyana, Satria Kamdan Kharisma, Ivana Lucia Kustandi, Agus Maulana Yusuf Maulina, Siti Farda Medal Wangi, Shanika Layung Munandar, Rifki Arief Munggaran, Dava Febrian Nasrulloh, Dendi Natanael, Brillian Aji Natasya, Sandra Naufal, Ripki Tri Noer, Silvia Novianti, Ane Nugraha Nugraha Perkasa, M. Juang Pajri Purba, Raihan Lutfhi Putra, Reza Rama Putri, Azzahra Rahman, Wigi Januar Ramdan, Hari Muhammad Rosmawati Rosmawati Serliani, Siska Meyisa Amelia Somantri, S Somantri, Somantri Sukardi, Evi Septiyani Sulistiawati, Fitri Taqwana, Friendly Jihad Tirawati, Tirawati Wardana, Roihan Kusuma Yansah, Ardi Yustiana, Indra Zaenal Alamsyah Zakaria, Muhammad Maulana