Garuda - Garba Rujukan Digital

Penerapan Pembelajaran Tata Cara Haji Menggunakan Augmented Reality Agustina, Dian Resha; Aprilinda, Yuthsi; Susanty, Wiwin; Suharmoko, Suharmoko
ROUTERS: Jurnal Sistem dan Teknologi Informasi Vol. 2 No. 1, Februari 2024 (Dalam Proses)
Publisher : Program Studi Teknologi Rekayasa Internet, Politeknik Negeri Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25181/rt.v2i1.3204

The majority of the population in Indonesia is of Islamic faith. Hajj is a form of worship in Islam with its own rules and regulations, consisting of conditions and pillars that must be performed perfectly. However, in reality, many Indonesian pilgrims still don't fully understand the procedures of Hajj. Therefore, one solution to overcome the limitations of the required media for learning Hajj rituals is by combining the Android platform and Augmented Reality technology. Augmented Reality (AR) involves the virtualization of digital information or computer-generated content such as audio, video, images, and touch, making it seem as though they exist in the real-world environment. Augmented reality finds applications in various fields, particularly in education, such as the Hajj pilgrimage rituals. By merging real and virtual objects, 3D objects are displayed using markers. These markers, detected by Android smartphone cameras, display their corresponding 3D objects during the Hajj rituals. This is the foundation for researchers to implement a learning method for Hajj rituals using Android-based smartphones with Augmented Reality technology. Using smartphones makes it more convenient and flexible, and by incorporating Augmented Reality technology, it adds an interesting and enjoyable element to the learning process. The objective of this research is to implement augmented reality technology, particularly for Hajj pilgrims, in order to assist them in comprehending the methods of performing the Hajj pilgrimage in an engaging and easily understandable manner. The application allows users to view animated video models and textual explanations of the Hajj rituals.

Sosialisasi Aplikasi Penerimaan Peserta Didik Baru Di Kabupaten Pesawaran Hastanto, Dika; Romadhan, Dwi; Susanty, Wiwin
Jurnal Pengabdian Masyarakat Tapis Berseri (JPMTB) Vol. 3 No. 2 (2024): Jurnal Pengabdian Masyarakat Tapis Berseri (JPMTB) (Edisi Oktober)
Publisher : Pusat Studi Teknologi Informasi Fakultas Ilmu Komputer Universitas Bandar Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36448/jpmtb.v3i2.89

Penelitian ini mengevaluasi kegiatan sosialisasi aplikasi Penerimaan Peserta Didik Baru (PPDB) yang dilaksanakan pada tanggal 14-15 Juni 2024 di Kabupaten Pesawaran. Kegiatan ini bertujuan untuk meningkatkan pemahaman dan keterampilan operator sekolah tingkat SD dan SMP mengenai penggunaan aplikasi PPDB yang baru. Metode yang digunakan dalam sosialisasi meliputi presentasi, demonstrasi aplikasi, simulasi pendaftaran, dan diskusi untuk mengidentifikasi masalah teknis serta mengumpulkan umpan balik. Hasil kegiatan menunjukkan peningkatan pemahaman operator sekolah mengenai aplikasi PPDB, dengan solusi untuk tantangan teknis yang dihadapi dan tanggapan positif terhadap manfaat aplikasi. Masalah utama yang diidentifikasi meliputi keterbatasan akses internet dan resistensi terhadap perubahan dari sistem manual ke sistem digital. Kesimpulan dari penelitian ini adalah bahwa pelatihan yang efektif dan dukungan berkelanjutan sangat penting untuk keberhasilan implementasi aplikasi PPDB, dengan umpan balik peserta yang menjadi dasar perbaikan aplikasi dan pentingnya sosialisasi yang berkelanjutan untuk masyarakat.

Optimasi Naïve Bayes Classifier Menggunakan Particle Swarm Optimization Pada Klasifikasi Data Penerima Bantuan Sosial Saputra, Ari Kurniawan; Susanty, Wiwin; Kurniawan, Ahmad Shaleh
EXPERT: Jurnal Manajemen Sistem Informasi dan Teknologi Vol 14, No 2 (2024): December
Publisher : Universitas Bandar Lampung (UBL)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36448/expert.v14i2.3951

Klasifikasi data pada studi kasus data penerima bantuan sosial berfungsi untuk mengklasifikasi berdasarkan label atau kelas yang menjadi indikasi rekomendasi penerima bantuan social. Naive Bayes Classifier (NBC) adalah salah satu metode atau algoritma klasifikasi dalam data mining yang memiliki kecepatan tinggi. Namun, asumsi tersebut tidak selalu tepat sehingga dapat mempengaruhi tingkat keakuratan. Hal ini disebabkan oleh waktu yang lama dan akurasi prediksi yang masih belum optimal. Untuk mengatasi masalah tersebut, perlu dilakukan optimasi terhadap NBC agar dapat bekerja lebih optimal dalam berbagai kondisi dataset. Penelitian ini bertujuan untuk mengoptimalkan algoritma Naïve Bayes Classifier menggunakan Particle Swarm Optimization guna meningkatkan akurasi dalam proses klasifikasi penerima bantuan sosial. Berdasarkan pengujian optimasi Naive Bayes menggunakan PSO menghasilkan nilai optimal dari parameter model yang meningkatkan akurasi klasifikasi. Dalam pengujian dengan 10 data, PSO berhasil mengoptimalkan parameter Naive Bayes sehingga 9 dari 10 data diklasifikasikan dengan benar sebagai penerima bantuan, dan 1 data diklasifikasikan sebagai bukan penerima bantuan. Nilai fitness dari model yang dioptimalkan mendekati 0.9 (90% akurasi), menunjukkan bahwa PSO efektif dalam menyesuaikan parameter untuk meningkatkan performa Naive Bayes. Maka hal ini dapat di simpulkan bahwa penggunaan algortima PSO, model Naive Bayes menjadi lebih akurat dan andal dalam klasifikasi data, khususnya dalam konteks pengambilan keputusan untuk menentukan penerima bantuan sosial.

Controlling System in Smart Agriculture for Automatic Monitoring of Plant Nutrition Agustina, Dian Resha; Febrianti, Maria Shusanti; Susanty, Wiwin; Hindayanti, Kadek Setiani
Brilliance: Research of Artificial Intelligence Vol. 4 No. 1 (2024): Brilliance: Research of Artificial Intelligence, Article Research May 2024
Publisher : Yayasan Cita Cendekiawan Al Khwarizmi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/brilliance.v4i1.4001

Technological developments have had a major impact on the lifestyle of Indonesian people through sophisticated communication tools such as smartphones and gadgets. However, the use of this technology is still not optimal. In the Indonesian context, computer and information technology, especially Intelligent Systems, has changed the way people work, interact and live. One significant implementation of Smart Systems is Smart Agriculture, which uses information and communication technology to increase agricultural productivity. The application of Greenhouse technology and hydroponic methods in agriculture supports more efficient and productive plant growth. The use of TDS sensors to measure nutrient concentrations in water in the hydroponic method helps ensure optimal conditions. In this research, the automation of providing nutrition to lettuce plants has been carried out well according to predetermined conditions. The solution to solve the problem that occurs is to use an automatic nutrition system. This system can control the amount and frequency of nutrients provided accurately and efficiently, without depending on the skill and caution of the hydroponic farmer. In addition, this system also ensures that nutrients are provided consistently and safely for farmers and the environment. This technology utilizes sensors and automation systems to monitor nutritional conditions in the planting media in real-time and farmers can ensure that their plants receive the nutrients they need and have maximum yields. This system also helps farmers speed up the plant growth process and saves time and energy.

Analisis Deforestasi Lahan Karet Menggunakan Google Earth Engine Romadhan, Dwi; Hastanto, Dika; Susanty, Wiwin
EXPERT: Jurnal Manajemen Sistem Informasi dan Teknologi Vol 15, No 1 (2025): June
Publisher : Universitas Bandar Lampung (UBL)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36448/expert.v15i1.4283

Deforestasi global terus menjadi isu kritis karena konversi hutan ke lahan pertanian dan Perkebunan. Di Indonesia, implementasi EUDR (European Union Deforestation Regulation) menuntut pemantauan deforestasi lahan produksi, termasuk lahan karet. Penelitian ini bertujuan mengevaluasi luasan deforestasi pada dua kebun karet masyarakat di wilayah PT Mardec Way Kanan, Lampung, menggunakan platform Google Earth Engine (GEE) dan dataset Hansen Global Forest Change. Area objek ditentukan berdasarkan polygon (masing-masing empat koordinat) di sekitar kebun karet. Metode meliputi pengambilan citra tutupan hutan awal (treecover2000) dan data kehilangan hutan (loss) dari Hansen (2000–2023), perhitungan luas deforestasi dengan fungsi reduceRegion(), serta perhitungan loss area untuk kedua kebun. Hasil simulasi menunjukkan bahwa kebun 1 mengalami deforestasi sebesar 1,54 ha dari total 33,07 ha (sekitar 4,6%), sementara kebun 2 mengalami deforestasi 1,24 ha dari total 21,95 ha (sekitar 5,6%) yang menggambarkan proporsi deforestasi terhadap luas total kebun. Dapat disimpulkan GEE efektif mendeteksi deforestasi lahan karet secara spasial dan kuantitatif. Temuan ini relevan untuk kepatuhan EUDR, mendorong pemantauan deforestasi berbasis GEE secara berkala dan pengembangan sistem monitoring otomatis.

Controlling System in Smart Agriculture for Automatic Monitoring of Plant Nutrition Agustina, Dian Resha; Febrianti, Maria Shusanti; Susanty, Wiwin; Hindayanti, Kadek Setiani
Brilliance: Research of Artificial Intelligence Vol. 4 No. 1 (2024): Brilliance: Research of Artificial Intelligence, Article Research May 2024
Publisher : Yayasan Cita Cendekiawan Al Khwarizmi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/brilliance.v4i1.4001

Technological developments have had a major impact on the lifestyle of Indonesian people through sophisticated communication tools such as smartphones and gadgets. However, the use of this technology is still not optimal. In the Indonesian context, computer and information technology, especially Intelligent Systems, has changed the way people work, interact and live. One significant implementation of Smart Systems is Smart Agriculture, which uses information and communication technology to increase agricultural productivity. The application of Greenhouse technology and hydroponic methods in agriculture supports more efficient and productive plant growth. The use of TDS sensors to measure nutrient concentrations in water in the hydroponic method helps ensure optimal conditions. In this research, the automation of providing nutrition to lettuce plants has been carried out well according to predetermined conditions. The solution to solve the problem that occurs is to use an automatic nutrition system. This system can control the amount and frequency of nutrients provided accurately and efficiently, without depending on the skill and caution of the hydroponic farmer. In addition, this system also ensures that nutrients are provided consistently and safely for farmers and the environment. This technology utilizes sensors and automation systems to monitor nutritional conditions in the planting media in real-time and farmers can ensure that their plants receive the nutrients they need and have maximum yields. This system also helps farmers speed up the plant growth process and saves time and energy.

Title

Found 26 Documents
Search

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Title Search

Found 26 Documents Search

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Title

Found 26 Documents
Search