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Strategi Berbasis Konsinyasi Dalam Mewujudkan Kepastian Hukum Terhadap Kepentingan Umum
Full text linkConsignment for the public interest should be a sure guarantee for land rights holders in receiving compensation. However, the reality in the field shows that there are unresolved problems. This research explores the importance of consignment strategies in ensuring legal certainty, with a focus on mapping aspects of consignment, legal certainty, and public interest. This research uses a qualitative approach, focusing on consignment in land acquisition for public interest, where the District Court provides legal certainty and ensures fair compensation to affected landowners. The results of this study show that consignment can achieve legal certainty where there are three stages of the consignment process for the public interest, namely Pre-registration, implementation of compensation offers, and post-offer in accordance with PERMA Number 2 of 2021. With consignment, there is certainty of compensation payments that can only be received directly by the party entitled to the land. The legal consequences of the determination of consignment are for the public interest where land ownership from the private sector is transferred to the state. Thus the consignment strategy not only ensures legal certainty for all parties involved but also provides legitimacy for the state to take over land ownership in accordance with applicable regulations.Consignment for the public interest should be a sure guarantee for land rights holders in receiving compensation. However, the reality in the field shows that there are unresolved problems. This research explores the importance of consignment strategies in ensuring legal certainty, with a focus on mapping aspects of consignment, legal certainty, and public interest. This research uses a qualitative approach, focusing on consignment in land acquisition for public interest, where the District Court provides legal certainty and ensures fair compensation to affected landowners. The results of this study show that consignment can achieve legal certainty where there are three stages of the consignment process for the public interest, namely Pre-registration, implementation of compensation offers, and post-offer in accordance with PERMA Number 2 of 2021. With consignment, there is certainty of compensation payments that can only be received directly by the party entitled to the land. The legal consequences of the determination of consignment are for the public interest where land ownership from the private sector is transferred to the state. Thus the consignment strategy not only ensures legal certainty for all parties involved but also provides legitimacy for the state to take over land ownership in accordance with applicable regulations
OPTIMASI METODE LONG SHORT-TERM MEMORY MENGGUNAKAN SELEKSI FITUR BORUTA UNTUK MEMPREDIKSI KEDATANGAN WISATAWAN
Full text linkAccurate forecasting of international tourist arrivals is crucial for strategic planning and policy-making, particularly during the post-pandemic recovery phase. This study compares three Long Short-Term Memory (LSTM) modeling approaches: univariate, multivariate with all features, and multivariate with feature selection using the Boruta algorithm. The dataset includes monthly tourist arrival records in Indonesia (2008–2025) and tourism-related search indices from Google Trends. The results show that the univariate LSTM model performs best (R² = 0.552), while the multivariate model with Boruta-selected features performs worst (R² = -0.913). These findings underscore that adding features without considering temporal dynamics may reduce prediction accuracy, and that simpler, single-variable models can be more effective for time-series data. This research offers both practical and theoretical contributions to developing more accurate and context-aware AI-based tourism forecasting systems.Peramalan jumlah kedatangan wisatawan mancanegara secara akurat sangat penting untuk mendukung perencanaan strategi dan kebijakan di sektor pariwisata, khususnya dalam masa pemulihan pasca pandemi. Penelitian ini membandingkan tiga pendekatan pemodelan Long Short-Term Memory (LSTM): univariate, multivariate dengan semua fitur, serta multivariate dengan seleksi fitur menggunakan algoritma Boruta. Data yang digunakan mencakup jumlah kedatangan wisatawan bulanan ke Indonesia dari tahun 2008 hingga 2025 dan indeks pencarian Google Trends yang relevan. Hasil penelitian menunjukkan bahwa model LSTM univariate memiliki performa terbaik (R² = 0.552), sedangkan pendekatan multivariate dengan fitur hasil seleksi Boruta justru menunjukkan performa terburuk (R² = -0.913). Temuan ini menyoroti bahwa penambahan fitur tanpa mempertimbangkan sifat temporal dapat menurunkan akurasi prediksi, dan bahwa model sederhana dengan fokus tunggal lebih efektif untuk data deret waktu. Studi ini memberikan kontribusi praktis dan teoritis dalam pengembangan sistem prediksi wisatawan berbasis AI yang lebih akurat dan kontekstual
KLASIFIKASI KETERAMPILAN KERJA MENGGUNAKAN METODE TF-IDF DAN DECISION TREE PADA DATA LOWONGAN KERJA LINKEDIN
Full text linkThis study aims to analyze skill trends in the Information Technology (IT) sector by utilizing synthetic job vacancy data resembling LinkedIn format through a text mining approach. The TF-IDF method was applied to extract important keyword features from unstructured job descriptions, while the Decision Tree algorithm was used to classify job types based on the extracted features. The dataset consists of 100 job listings in mixed Indonesian and English languages, with comprehensive text preprocessing to ensure data quality. The results indicate that the combination of TF-IDF and Decision Tree is effective in identifying key skills and categorizing job types accurately and interpretably. Data Engineer emerged as the most sought-after job category, with dominant keywords such as “data,” “experi,” “work,” “team,” and “product” reflecting the need for both technical and collaborative skills. The Decision Tree model achieved an accuracy of 80.3%, performing particularly well in classifying Data Analyst positions. Visualizations, including Word Cloud and feature importance plots, provide intuitive insights into skill demands that can benefit job seekers, curriculum developers, and recruitment companies. In conclusion, this study demonstrates that employing TF-IDF and Decision Tree methods can effectively automate the classification of job skills from vacancy data, thereby supporting data-driven decision-making in the workforce amidst the digital era and Industry 4.0 revolution.Penelitian ini bertujuan untuk menganalisis tren keterampilan kerja di sektor Teknologi Informasi (IT) dengan memanfaatkan data lowongan pekerjaan sintetis yang menyerupai format LinkedIn menggunakan pendekatan text mining. Metode TF-IDF diterapkan untuk mengekstraksi fitur kata kunci penting dari deskripsi pekerjaan yang bersifat tidak terstruktur, sementara algoritma Decision Tree digunakan untuk mengklasifikasikan jenis pekerjaan berdasarkan fitur yang diperoleh. Data yang digunakan meliputi 100 entri lowongan pekerjaan berbahasa campuran Indonesia dan Inggris, dengan proses preprocessing teks yang komprehensif untuk memastikan kualitas data. Hasil penelitian menunjukkan bahwa kombinasi TF-IDF dan Decision Tree efektif dalam mengidentifikasi keterampilan utama dan mengelompokkan jenis pekerjaan secara akurat dan mudah diinterpretasikan. Berdasarkan analisis, kategori pekerjaan Data Engineer menjadi yang paling banyak diminati, dengan kata kunci utama seperti “data”, “experi”, “work”, “team”, dan “product” yang menggambarkan kebutuhan keterampilan teknis dan kolaboratif. Model Decision Tree mencapai akurasi 80,3%, khususnya baik dalam mengklasifikasikan Data Analyst. Visualisasi seperti Word Cloud dan feature importance plot memberikan gambaran intuitif mengenai kebutuhan keterampilan yang dapat dimanfaatkan oleh pencari kerja, penyusun kurikulum, dan perusahaan rekrutmen. Kesimpulannya, penelitian ini membuktikan bahwa penggunaan metode TF-IDF dan Decision Tree mampu mengotomatisasi klasifikasi keterampilan kerja dari data lowongan pekerjaan secara efektif, sehingga mendukung pengambilan keputusan berbasis data dalam dunia ketenagakerjaan di era digital dan revolusi industri 4.0
Sistem Presidensial Melalui Penerapan Ambang Batas Parlemen (Parliamentary Threshold) Dalam Pemilihan Umum 2024 Di Indonesia
Full text linkIn writing this thesis, the author intends to evaluate the strengthening of the presidential system through the implementation of the parliamentary threshold in general elections in Indonesia. The type of research used is normative juridical legal research with a statutory approach to the issues raised by the author. The application of regulations regarding the parliamentary threshold as a strengthening of the presidential system in general elections in Indonesia raises the pros and cons because there are positive and negative sides generated from the application of the parliamentary threshold. From the existence of two different views, the author in this thesis wants to evaluate the comparison before the use of the parliamentary threshold in general elections in Indonesia and after the application of the parliamentary threshold in general elections in Indonesia. The result of this research is that the evolution of the political system reflects efforts to achieve a balance between political stability and inclusive representation. Despite some criticisms regarding the lack of flexibility and the potential for fragmentation, Indonesia's political system continues to evolve and adjust to meet the demands of a maturing democracy
Wujud Keadilan Dalam Tindak Pidana Dalam Kecelakaan Lalu Lintas Oleh Pengemudi Angkutan Umum
Full text linkThe realization of order and safety in traffic is the government's goal which is carried out through traffic management and traffic engineering. However, in fact, traffic accidents still often occur which can be caused by several things, such as driver negligence, damaged roads, and driver indiscipline on the road. This research will discuss the application of progressive law in deciding traffic accident cases that result in the victim's death. The method used in this research is normative juridical with a statutory, contextual and case approach. Primary and secondary data in this research were obtained from books, articles, expert opinions, and Decision Number: 1625/Pid.Sus/2022/PN.LBP. The results of this research show the role of progressive law in realizing justice and also the application of progressive legal values contained in Decision Number: 1625/Pid.Sus/2022/PN.LBP. From this analysis, it is concluded that the case raised by the author is an example of the application of progressive law in a traffic accident case which resulted in the victim's death. It is hoped that the implementation of this progressive law will provide a sense of justice for victims and their families and provide opportunities for defendants to improve themselves
DEVELOPING A SUPER APPLICATION FOR INDONESIA’S PORT LOGISTICS (CASE STUDY: PT PELINDO)
Full text linkIndonesia’s port logistics sector faces several inefficiencies, including congestion, fragmented digital systems, and slow operational processes. This study aims to document the development of a Super App for PT Pelabuhan Indonesia (Pelindo) intended to streamline logistics operations, enhance digital integration, and improve overall efficiency. The study introduces an integrated digital solution by developing a Super App that consolidates key logistics systems, especially in Tanjung Priok Port, Indonesia. It offers strategic value in supporting coordination among stakeholders and aligns with national logistics reform efforts. Using the System Development Life Cycle (SDLC) waterfall method, the app was designed to integrate platforms such as Single Truck Identification Data (STID) and Truck Booking System (TBS), while connecting directly to the logistics hub. System Integration Testing (SIT) and User Acceptance Testing (UAT) were conducted prior to deployment at Tanjung Priok Port. The application is currently limited to deployment and testing in one port location. Future research may focus on long-term evaluation across multiple ports and further stakeholder feedback to ensure adaptability and scalability within diverse operational contexts. The results show that the Super App has significant potential to reduce processing times, enhance stakeholder coordination, and optimize overall logistics performance. Preliminary implementation suggests positive improvements in operational efficiency at Tanjung Priok Port. Full integration with existing logistics systems and active collaboration among stakeholders are essential for maximizing the effectiveness of the Super App. This initiative marks a substantial step toward advancing Indonesia’s national logistics ecosystem through digital transformation
DEVELOPMENT OF A DIGITAL ARCHIVAL INFORMATION SYSTEM USING THE SPIRAL MODEL: A CASE STUDY AT SMP NEGERI 33 SURABAYA
Full text linkConventional letter archiving systems in schools often face several problems, such as delayed letter distribution, unstructured storage, and difficulties in retrieving documents. This study aims to develop a digital Letter Archiving Information System to manage incoming and outgoing letters, dispositions, and official document creation efficiently. The system was developed using the spiral model approach, which includes stages of user communication, planning, risk analysis, technical design, system implementation, and final evaluation. The methods involved interviews, direct observation of the archiving process at SMP Negeri 33 Surabaya, and the design of technical diagrams such as Use Case Diagram, Class Diagram, CDM, and PDM. The implementation resultsindicate that the system successfully fulfills user needs across various roles, including the Principal, Head of Administration, Administrative Staff, and Students. Evaluation sessions conducted with school personnel showed that the system was well-received due to its ease of access, productivity, and better-organized digital archiving. Therefore, the development of SIKAPS contributes significantly to supporting digital transformation in school administration and serves as an effective solution to overcome the challenges of manual archiving systems
PENGEMBANGAN SISTEM PENGENALAN BAHASA ISYARAT INDONESIA SECARA REAL-TIME MENGGUNAKAN K-NEAREST NEIGHBORS CLASSIFIER BERBASIS PYTHON
Full text linkPenelitian ini mengusulkan dan mengimplementasikan sistem pengenalan Bahasa Isyarat Indonesia (BISINDO) secara real-time menggunakan metode K-Nearest Neighbors (K-NN) Classifier dengan menggunakan bahasa pemrograman Python. Bahasa Isyarat Indonesia adalah bentuk komunikasi visual yang penting bagi komunitas tuna rungu dan tuna netra di Indonesia. Sistem ini bertujuan untuk memberikan solusi interaktif dan responsif dalam mengenali dan mengklasifikasikan gestur tangan Bahasa Isyarat Indonesia. Penelitian ini melibatkan pengumpulan dataset Bahasa Isyarat Indonesia melalui perekaman gestur tangan menggunakan webcam. Landmark tangan diekstraksi menggunakan MediaPipe, dan data yang dihasilkan diolah dan dipre-proses untuk melatih model K-Nearest Neighbors. Pembagian dataset dilakukan secara proporsional antara data latih 80% dan data uji 20%. Program diimplementasikan menggunakan Python dengan memanfaatkan pustaka MediaPipe dan scikit-learn. Pengujian dilakukan untuk mengevaluasi kinerja model pada dataset uji, serta respon sistem dalam kondisi real-time. Hasil pengujian mencakup akurasi pengenalan Bahasa Isyarat Indonesia dan kecepatan respon sistem terhadap gestur tangan. Penelitian ini menyoroti kemampuan sistem dalam mendukung pengenalan gestur tangan Bahasa Isyarat Indonesia secara real-time
SISTEM INFORMASI INVENTARIS BARANG BERBASIS WEB PADA DINAS KOMUNIKASI DAN INFORMASI BONDOWOSO
Full text linkSistem Informasi Inventaris Barang Berbasis Web pada Dinas Komunikasi dan Informasi Bondowoso bertujuan untuk meningkatkan efisiensi dan akurasi dalam pengelolaan aset. Dalam konteks pemerintahan, pengelolaan inventaris yang efektif sangat penting untuk memastikan transparansi dan akuntabilitas penggunaan sumber daya. Penelitian ini dimulai dengan analisis kebutuhan melalui wawancara dan survei terhadap pengguna, yang kemudian diikuti dengan perancangan sistem menggunakan diagram alur dan Data Flow Diagram (DFD). Sistem yang dikembangkan mengintegrasikan proses penginputan, pemeliharaan, dan pelaporan inventaris, serta menyediakan antarmuka yang user-friendly. Metodologi pengembangan perangkat lunak yang digunakan adalah Agile, yang memungkinkan penyesuaian berdasarkan umpan balik pengguna selama fase pengujian. Hasil implementasi menunjukkan bahwa sistem mampu mengurangi kesalahan data, mempercepat proses pengambilan keputusan, dan meningkatkan kolaborasi antar bagian dalam dinas. Dengan demikian, Sistem Informasi Inventaris Barang Berbasis Web ini tidak hanya memenuhi kebutuhan administrasi, tetapi juga berkontribusi pada pengelolaan aset yang lebih baik di Dinas Komunikasi dan Informasi Bondowoso. Penelitian ini diharapkan dapat menjadi referensi bagi instansi pemerintah lainnya dalam menerapkan sistem serupa untuk meningkatkan efisiensi dan transparansi pengelolaan inventaris
PEMBERDAYAAN PETERNAK SAPI PERAH DALAM PEMANFAATAN TEKNOLOGI PADA SUMBER REJEKI DAIRY FARM DESA SLAMPAREJO KABUPATEN MALANG
Full text linkMitra pengabdian Sumber Rejeki Dairy Farm adalah peternak sapi perah di Desa Slamparejo Kabupaten Malang. Usaha ternak merupakan pekerjaan turun-temurun, sehingga pola usahanya juga relatif sederhana. Pemerahan susu sapi dilakukan secara tradisional yaitu dengan menggunakan tangan. Usaha ternak sapi perah belum memanfaatkan teknologi, oleh karena itu jika ada sapi yang sakit mastitis maka akan menular pada sapi lain, sehingga susu yang diperoleh akan tertular penyakit tersebut, disamping itu berdampak pula pada perolehan susu, dan kualitas susu menjadi turun. Tujuan pengabdian sebagai pemberdayaan peternak untuk mengenalkan teknologi proses pemerahan susu sapi. Teknologi memberikan kemudahan peternak dari segi kesehatan sapi, efisiensi waktu dan dapat meningkatkan kualitas susu dan peningkatan penghasilan. Metode pelaksanaan dengan pelatihan dan penyuluhan kepada para peternak sapi perah dalam pengenalan teknologi vacum. Hasil pengabdian menunjukkan antusia bagi peserta, dari 10 orang yang diundang yang datang 13 orang atau 130%. Hasil pre test dari pengenalan usaha menunjukkan nilai sedangkan pemahaman tentang teknologi sebesar 67%