Claim Missing Document
Check
Articles

Found 31 Documents
Search

APLIKASI KLASIFIKASI KEPRIBADIAN MANUSIA MENGGUNAKAN ALGORITMA TREE DECISION (C4.5) BERBASIS WEB Edy, Edy; Rino, Rino; Lasut, Desiyanna
ALGOR Vol. 6 No. 2 (2025): Informatics Innovation
Publisher : Fakultas Sains dan Teknologi-Universitas Buddhi Dharma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31253/algor.v6i2.1551

Abstract

Pemilihan jurusan pendidikan yang sesuai dengan potensi diri sangat penting bagi siswa sekolah menengah atas sebagai dasar penentuan arah karier dan studi lanjut. Penelitian ini mengembangkan sistem berbasis web untuk merekomendasikan jurusan pendidikan menggunakan algoritma C4.5. Algoritma ini dipilih karena mampu mengklasifikasikan data secara efisien dan menghasilkan pohon keputusan yang mudah dipahami. Data yang digunakan meliputi hasil tes minat, nilai akademik, dan preferensi siswa. Sistem ini dirancang agar siswa dapat mengetahui jurusan yang paling sesuai dengan profil mereka secara cepat dan akurat. Hasil pengujian menunjukkan bahwa sistem memiliki tingkat akurasi antara 90–95%, serta mampu memberikan rekomendasi secara real-time berbasis data input. Sistem ini dapat membantu pihak sekolah dan siswa dalam proses bimbingan dan konseling secara lebih objektif dan terarah.
Implementasi Surat Keputusan Musyawarah No. 05 Tahun 2019: Studi Kasus Program Kerja Perkemahan Wirakarya Tahun 2020 di Kantor Kwartir Cabang Gerakan Pramuka Probolinggo Marwiyah, Sitii; Rahmadi, Andhi Nur; Edy, Edy
Jurnal Sosial Humaniora Sigli Vol 8, No 1 (2025): Juni 2025
Publisher : Universitas Jabal Ghafur

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47647/jsh.v8i8.3269

Abstract

This study aims to evaluate the implementation of the Decree of the Musyawarah No. 05 of 2019 related to the Work Program of the Wirakarya Camp in 2020 at the Probolinggo Branch of the Scout Movement. In this research, the methods applied include interviews with the management, program implementers, and Scout members, as well as analysis of relevant documents. The findings of this study indicate that the program has been implemented effectively, although there are several challenges related to coordination and communication among the management. The two main factors influencing the implementation of the program are the content of the policy and the context of implementation. This research also provides recommendations to enhance the program's effectiveness, including the need for training for the management and improvements in communication, as well as the provision of more adequate resources. It is hoped that the results of this study can have a positive impact on the development of the Scout Movement in Probolinggo.Keywords: Policy implementation, Scout Movement, Wirakarya Camp
Implementasi Surat Keputusan Musyawarah No. 05 Tahun 2019: Studi Kasus Program Kerja Perkemahan Wirakarya Tahun 2020 di Kantor Kwartir Cabang Gerakan Pramuka Probolinggo Marwiyah, Siti; Rahmadi, Andhi Nur; Edy, Edy
Jurnal Sosial Humaniora Sigli Vol 8, No 1 (2025): Juni 2025
Publisher : Universitas Jabal Ghafur

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47647/jsh.v8i1.3285

Abstract

This study aims to evaluate the implementation of the Decree of the Musyawarah No. 05 of 2019 related to the Work Program of the Wirakarya Camp in 2020 at the Probolinggo Branch of the Scout Movement. In this research, the methods applied include interviews with the management, program implementers, and Scout members, as well as analysis of relevant documents. The findings of this study indicate that the program has been implemented effectively, although there are several challenges related to coordination and communication among the management. The two main factors influencing the implementation of the program are the content of the policy and the context of implementation. This research also provides recommendations to enhance the program's effectiveness, including the need for training for the management and improvements in communication, as well as the provision of more adequate resources. It is hoped that the results of this study can have a positive impact on the development of the Scout Movement in Probolinggo.Keywords: Policy implementation, Scout Movement, Wirakarya Camp.
Optimization of Multimodal Deep Learning for Depression Detection Hermawan, Aditiya; Daniawan, Benny; Edy, Edy; Nathaniel, Joese
IJCCS (Indonesian Journal of Computing and Cybernetics Systems) Vol 19, No 4 (2025): October
Publisher : IndoCEISS in colaboration with Universitas Gadjah Mada, Indonesia.

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/ijccs.111407

Abstract

Depression is a complex and often underdiagnosed mental health condition that manifests through subtle verbal, acoustic, and behavioral cues. Traditional unimodal detection systems struggle to capture the full spectrum of depressive symptoms, often leading to inaccurate or incomplete assessments. This study proposes a multimodal deep learning framework that integrates textual, audio, and visual modalities to improve the robustness and reliability of automatic depression detection, achieving an overall classification accuracy of 74%. The approach prioritizes privacy and interpretability by using facial keypoints and gaze direction rather than raw video frames, and applies attention mechanisms to align and fuse features across modalities. Each modality is processed through dedicated neural architectures tailored to its data type, and their outputs are combined within a fusion model that learns to capture cross-modal emotional patterns. Experimental results demonstrate that the proposed multimodal system significantly outperforms its unimodal counterparts in terms of classification performance. The visual modality was found to contribute most strongly to detection accuracy, as confirmed by ablation analysis. These findings highlight the value of multimodal integration in capturing complex psychological signals and support the development of intelligent, non-invasive screening tools for use in digital mental health applications.
KAPASITAS DAYA DUKUNG PROTOTIPE PONDASI TIANG AKIBAT DARI PENGARUH GEJALA ELEKTROOSMOSIS Edy, Edy; Rustamaji, R.M.; Priadi, Eka; Alwi, Abubakar
Jurnal Teknik Sipil Vol 20, No 1 (2020): JURNAL TEKNIK SIPIL EDISI JUNI 2020
Publisher : Fakultas Teknik Universitas Tanjungpura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26418/jtst.v20i1.44540

Abstract

Pertumbuhan pembangunan memaksa kebutuhan akan ruang untuk infrastruktur semakin meningkat, tetapi seperti diketahui bahwa tanah di daerah Pontianak memiliki nilai daya dukung yang relatif kecil sehingga salah satu solusi untuk meningkatkan daya dukung tanah tersebut adalah dengan stabilisasi tanah. Ada beberapa metode stabilisasi tanah lunak, yaitu metode stabilisasi kimia, metode hidrolis (dewatering), metode grouting, dan banyak lagi metode lainnya. Metode lain yang tidak umum digunakan adalah metode yang memanfaatkan gejala-gejala elektrokinetik. Metode stabilisasi tanah secara hidrolis ini diyakini dapat menjawab tantangan permasalahan yang dihadapi terkait daya dukung tanah yang kurang baik di Pontianak. Penelitian ini dilakukan dengan menguji tiang dengan perlakuan elektrokinetik dan tiang tanpa perlakuan elektrokinetik. Dari penelitian yang telah dilakukan menunjukkan bahwa metode elektrokinetik berhasil memberikan peningkatan daya dukung dikarenakan gejala-gejala elektrokinetik berupa gejala elektroosmosis, elektromigrasi, elektroforesis, dan streaming potensial selama proses perlakuan elektrokinetik yang menimbulkan pengaruh sementasi, koagulasi, dan akhirnya meningkatkan tegangan efektif tanah dan juga dapat diambil kesimpulan bahwa peningkatan daya dukung dengan perlakuan elektrokinetik dapat memberikan hasil yang lebih maksimal ketika menggunakan kuat arus yang lebih besar ketimbang menggunakan perlakuan elektrokinetik dengan waktu tunggu yang lebih lama.
PENERAPAN AUGMENTED REALITY PADA APLIKASI PENGENALAN HEWAN KEPADA ANAK ANAK MENGGUNAKAN USER CENTERED DESIGN halim, jeffrey; Edy, Edy
ALGOR Vol. 5 No. 1 (2023): Sustainability of Information Technology
Publisher : Fakultas Sains dan Teknologi-Universitas Buddhi Dharma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31253/algor.v5i1.2383

Abstract

Currently we are in the era of globalization, this means that information is becoming easier to obtain and also easier to access. One tool developed to take advantage of this era is a smartphone. with smartphones we can access information from anywhere and anytime. Augmented reality aims to unite reality and the virtual world by bringing virtual goods into the real world through our smartphone layer. This is very good because augmented reality is very useful in many ways. Even though it is useful in many ways, augmented reality is still rarely used because this technology is practically a new technology that is still being developed, because this technology is still relatively new, most people see this technology and ignore it or don't even know about this technology. Therefore this study aims to bring awareness to this technology by creating an animal recognition application using augmented reality. This research is a research on designing animal recognition learning applications for children using the user centered design method. In this study, a survey method was used from 6 respondents from around me.
DISEMINASI PAKET TEKNOLOGI DALAM PENINGKATAN PRODUKSI JAGUNG PULUT Ralle, Andi; Edy, Edy; Husain, Tsalis Kurniawan
Jurnal BALIRESO Vol 7, No 1 (2022)
Publisher : Lembaga Pengabdian kepada Masyarakat Universitas Muslim Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33096/balireso.v7i1.179

Abstract

The goal to be achieved in this Service Program is to form a Kelompok Tani Campagaya in Campagaya Village, Galesong District, Takalar Regency to be independent in the management of out-grown maize through effective cultivation techniques in producing seeds, increasing seed production for food and an effective and efficient waxy corn marketing system. The problem with Partner farmer group is the low yield of waxy corn production due to seed and maintenance factors. The program will be conducted in December 2021 using the active participation method. The Kelompok Tani Campagaya is involved and active in participating in counseling about the cultivation of big maize, training on the make of fertilizers and pesticides and how to apply them, providing knowledge about marketing strategies for results through collaboration between farmer groups and traders and supermarkets and online systems. The results obtained in this service program are the potential for increased production of waxy corn, experience in making organic fertilizer products and natural pesticides, and being able to apply them to their crops, as well as understanding management and marketing strategies for waxy corn
IMPLEMENTASI SMART CONTRACT DI JARINGAN BLOCKCHAIN ETHEREUM Studi Kasus: TRANSAKSI JUAL BELI GAMBAR NFT Rino, Rino; Owen, Michael; Edy, Edy
ALGOR Vol. 7 No. 1 (2025): Another Day, Another Technology
Publisher : Fakultas Sains dan Teknologi-Universitas Buddhi Dharma

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Penelitian ini membahas implementasi smart contract pada jaringan blockchain Ethereum sebagai solusi untuk meningkatkan keamanan, transparansi, dan efisiensi dalam transaksi jual beli gambar Non-Fungible Token (NFT). Permasalahan utama yang diangkat adalah maraknya transaksi NFT yang tidak terjamin keasliannya serta tingginya kasus penipuan akibat minimnya mekanisme verifikasi kepemilikan dan transaksi. Metode penelitian yang digunakan meliputi perancangan dan pengembangan sistem berbasis web menggunakan PHP yang terintegrasi dengan smart contract Solidity pada jaringan Ethereum. Sistem ini mensimulasikan alur transaksi mulai dari user registration, pemilihan produk NFT, proses pembayaran melalui MetaMask, hingga konfirmasi otomatis melalui smart contract. Pengujian black box menunjukkan seluruh fitur utama seperti checkout, connect wallet, dan verifikasi pembayaran berjalan sesuai ekspektasi. Hasil penelitian menunjukkan bahwa integrasi smart contract secara signifikan meningkatkan kepercayaan konsumen karena menjamin keaslian aset digital, mengurangi ketergantungan pada pihak ketiga, serta menyediakan audit trail permanen yang tidak dapat diubah. Implementasi ini berpotensi menjadi model rujukan dalam pengembangan sistem e-commerce berbasis blockchain, serta membuka peluang aplikasi lebih luas pada bidang lain seperti sertifikasi digital dan manajemen hak cipta.
Soybean Adaptation Mechanisms to Drought Through Stomatal Regulation, Carbon Assimilation, and Water Use Efficiency in Sustainable Farming Systems Aminah, Aminah; Saida, Saida; Edy, Edy; Palad, Marliana S.; Nuraeni, Nuraeni; Haris, Abdul; Robbo, Anwar; Boceng, Annas; Fadel, Muh.; Akbar, Abd.
AGRIVITA Journal of Agricultural Science Vol 48, No 1 (2026)
Publisher : Faculty of Agriculture University of Brawijaya in collaboration with PERAGI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17503/agrivita.v41i0.5002

Abstract

Unlike other crops, soybeans can be produced for both direct human consumption and industrial use. However, soybean production is highly sensitive to drought. This is because drought conditions can reduce photosynthesis and crop yield. This study aimed to investigate drought adaptations in soybean plants, including stomatal control, drought-induced carbon assimilation, and avoidance. The study was conducted in a greenhouse under controlled conditions using a split-plot design with 3 stress levels (100%, 50%, and 30% of field capacity), 4 varieties (Dering-1, Dering-2, Detap-1, and Argomulyo), and 2 stress periods (vegetative and generative). Strong variation in yield was observed across all drought-affected plant growth factors, including photosynthetic rate and grain yield. Under moderate stress conditions (achieving a 0.8 t/ha yield), the Detap-1 variety fully maintained photosynthetic capacity and appropriately modulated stomatal closure and stomatal regulation to achieve the most efficient water control. This leads to the conclusion that Detap-1 is best suited to the dryland conditions of the varieties studied due to its strong physiological adaptability.
Evaluating Latent Emotional Structures through Unsupervised Semantic Text Clustering Edy, Edy; Junaedi, Junaedi; Hermawan, Aditiya; Kurnia, Yusuf; Maranto, Ardiane Rossi Kurniawan
IJCCS (Indonesian Journal of Computing and Cybernetics Systems) Vol 20, No 2 (2026): April
Publisher : IndoCEISS in colaboration with Universitas Gadjah Mada, Indonesia.

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/ijccs.116764

Abstract

Emotion analysis in textual data is an important topic in natural language processing, as emotions play a crucial role in understanding public opinion, psychological states, and dynamics of digital interaction. However, most existing studies rely heavily on supervised classification approaches based on predefined emotion labels, which may overlook latent semantic structures and emotional overlap inherent in natural language. This study aims to evaluate latent emotional structures in text using an unsupervised semantic clustering approach. The proposed method involves text preprocessing, feature representation using Term Frequency–Inverse Document Frequency (TF–IDF), dimensionality reduction through Singular Value Decomposition (SVD), and clustering using K-Means and Hierarchical Agglomerative algorithms. Both internal and post-hoc external evaluation metrics are employed to assess cluster quality and examine their correspondence with available emotion labels. The results indicate that K-Means clustering produces more compact and interpretable clusters than the hierarchical approach, while both methods reveal substantial emotional overlap across clusters. These findings suggest that emotional expressions in text exhibit a continuous semantic structure rather than discrete categorical boundaries. This study highlights the importance of unsupervised semantic clustering as an analytical tool for gaining deeper insight into latent emotional patterns in textual data.