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Munawar Munawar

Universitas Esa Unggul

Author-ID : 5428929

Religion Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Law, Crime, Criminology & Criminal Justice Mechanical Engineering

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The Legality of Smart Contract in the Perspectives of Indonesian Law and Islamic Law Munawar Munawar
AL-ISTINBATH : Jurnal Hukum Islam Vol 7, No 1 May (2022)
Publisher : Institut Agama Islam Negeri Curup

This study aims to determine the legal status of smart contracts from the perspective of Indonesian law and Islamic law through a comprehensive literature review. The revolution of the internet and smartphones has changed human life, as happens in smart contracts. This difference in character between smart and conventional contracts has not been fully anticipated by applicable law. That is why the urgency of fiqh renewal or reform of the law in the cyberspace era. Although smart contracts are still in their infancy, and there are still many critical issues that need to be resolved, the results of the literature research show that the smart contract has fulfilled the principles in the agreement/contract in Islamic law. According to the ITE Law, a smart contract can be interpreted as an agreement referred to in Article 1313 of the Civil Code, "an act where one person binds himself to one or more other people". Although this study is not sufficient, this needs to be elaborated from the perspective of Indonesian law. The most important things in smart contracts to comply with the Islamic law are: the sequence of processes in the smart contract must comply with Islamic law, the object being transacted must be halal, the perpetrators have complied with the provisions of the Islamic law, fixed price during the contract period and the number of parties involved in the contract may increase over time.

Analisis Sentimen Kalimat Depresi Pada Pengguna Twitter Dengan Naive Bayes, Support Vector Machine, Random Forest Mohammad Fachriza; Munawar Munawar
KOMPUTEK Vol 7, No 2 (2023): Oktober
Publisher : Universitas Muhammadiyah Ponorogo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24269/jkt.v7i2.2218

Pengguna aktif media sosial terus meningkat, dengan Twitter menjadi salah satu platform yang populer. Media sosial, termasuk Twitter, menjadi tempat bagi pengguna untuk mengekspresikan pendapat, termasuk mengenai masalah kesehatan mental seperti depresi. Penelitian ini bertujuan untuk menganalisis sentimen tweet pengguna Twitter terkait depresi menggunakan metode klasifikasi seperti Naïve Bayes Classifier, Support Vector Machine (SVM), dan Random Forest. Pengumpulan data tweet menggunakan metode crawling menggunakan API yang disediakan oleh Twitter dengan kata kunci yang berhubungan dengan depresi. Data tweet yang digunakan sebanyak 1502 tweet, yang selanjutnya dibersihkan pada tahap preprocessing dan diberi label dengan validasi oleh pakar terkait depresi, data yang sudah diberi label sebagai data untuk pengujian pada algoritma yang digunakan. Dari hasil pengujian performa pada algoritma yang diuji dapat disimpulkan bahwa algoritma Random Forest memilkiki hasil performa yang lebih tinggi dibandingkan dengan Naive Bayes Clasifier dan Support Vector Machine dengan Hasil akurasi: 83.33%, presisi: 83.04%, recall: 83.33%, dan f1-scores: 82.62%. Penelitian ini Juga memberikan Word cloud untuk memberikan gambaran visual tentang kata-kata yang paling sering muncul dalam tweet. Kata-kata yang dominan dapat memberikan indikasi tentang topik atau isu yang paling mendominasi terkait kesehatan mental seseorang

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