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Business Process Reengineering of Sustainable Teak Forest at Agroforestry Industry Alkaff, Muhammad; Marimin, Marimin; Arkeman, Yandra; Sukardi, Sukardi; Purnomo, Herry
International Research Journal of Business Studies Vol. 9 No. 3 (2016): December 2016 - March 2017
Publisher : Universitas Prasetiya Mulya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21632/irjbs.9.3.169-183

Abstract

Forest destruction both in the form of deforestation and degradation continues. Forest management on the basis of partnership with the community is also one of forest management methods to tackle deforestation. Agroforestry company has a commitment to support legal teak supplies and support teak forest afforestation. Plant breeding efforts were being undertaken all national agroforestry company and implemented in cooperation with BPPT as a partner to obtain superiorteak plants. A problem in producing a superior teak seedling is the high cost of seed production. Because of this, teak seedlings produced. Materials used for the study were obtained from questionnaires carried out by employees. The data were analyzed using descriptive analysis, structured equation model and value stream analysis tools. The results reveal that the main factors affecting the production process of teak seedlings are transportation, process, human, material and machine. The improvement of production system teak seedlings will be applied in the following order of priority: transportation with 60.8% influential level, motion with 49.5% effective level, defect with 3.8% influential level, and inventory with 2.5% influential level.
Sistem Rekomendasi Buku pada Perpustakaan Daerah Provinsi Kalimantan Selatan Menggunakan Metode Content-Based Filtering Muhammad Alkaff; Husnul Khatimi; Andi Eriadi
MATRIK : Jurnal Manajemen, Teknik Informatika dan Rekayasa Komputer Vol. 20 No. 1 (2020)
Publisher : Universitas Bumigora

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30812/matrik.v20i1.617

Abstract

Perpustakaan Daerah Provinsi Kalimantan Selatan merupakan salah satu perpustakaan dan pusat penyedia layanan informasi yang ada di Kalimantan Selatan. Namun. selama ini pengunjung perpustakaan kesulitan dalam mencari buku yang berkaitan dengan buku yang dipilih sebelumnya dan juga dalam menemukan alternatif buku lain ketika buku yang diinginkan tersebut telah dipinjam. Dengan adanya rekomendasi atau saran buku-buku lain yang berhubungan diharapkan membantu dalam mendapatkan buku yang sesuai dan diinginkan pengunjung perpustakaan. Pada penelitian ini penerapan sistem rekomendasi menggunakan metode Content-Based Filtering dalam memberikan rekomendasi buku yang bekerja dengan melihat kemiripan item yang dianalisis dari fitur yang dikandungnya dengan Weighted Tree Similarity. Berdasarkan hasil pengujian yang telah dilakukan pada 5 skenario pengujian yang diujikan dihasilkan nilai precision sebesar 88%.
Hate Speech Detection for Banjarese Languages on Instagram Using Machine Learning Methods Muhammad Alkaff; Muhammad Afrizal Miqdad; Muhammad Fachrurrazi; Muhammad Nur Abdi; Ahmad Zainul Abidin; Raisa Amalia
MATRIK : Jurnal Manajemen, Teknik Informatika dan Rekayasa Komputer Vol. 22 No. 3 (2023)
Publisher : Universitas Bumigora

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30812/matrik.v22i3.2939

Abstract

Hate speech refers to verbal expression or communication that aims to provoke or discriminate against individuals. The Ministry of Communication and Information of Indonesia has encountered and dealt with 3,640 cases of hate speech transmitted through digital channels between 2018 and 2021. Particularly in South Kalimantan, hate speech in the local language, Banjarese has become increasingly prevalent in recent years. Surprisingly, there is a lack of research on using machine learning to detect hate speech in the Banjarese language, specifically on Instagram. Therefore, this study aimed to address this gap by constructing a dataset of Banjarese language hate speech and comparing various feature extraction and machine learning models to detect Banjarese language hate speech effectively. Thisresearch used several feature extraction techniques and machine learning methods to detect Banjareselanguage hate speech. The feature extraction methods used were Word N-Gram, Term Frequency- Inverse Document Frequency (TF-IDF), a combination of Word N-Gram and TF-IDF, Word2Vec, and Glove, while the machine learning methods used were Support Vector Machine (SVM), Na¨ıve Bayes, and Decision Tree. The results of this study revealed that the combination of TF-IDF for feature extraction and SVM as the model achieves exceptional performance. The average Recall, Precision, Accuracy, and F1-Score score exceeded 90%, demonstrating the model’s ability to identify Banjarese hate speech accurately.
Co-Authors Abdullayev, Vugar Agus Dwi Susanto Ahmad Zainul Abidin Ainiyyah, Ainiyyah Akhmad Rojali Aldy Heriwardito Alfando, Muhammad Alvin Andi Eriadi Andi Farmadi Andreyan Rizky Baskara ARIF RAHMAN, MUHAMMAD Arina Ihda Rahmah Syarifah Ariska Deffy Anggarany, Ariska Deffy Baskara, Andreyan Budhi Antariksa Ceva W. Pitoyo Dany Primanita Kartikasari Darmawan, Puja Dewi Rizqia Najipah Dewi Yennita Sari Dodon Turianto Nugrahadi Erlina Burhan Fajar Zulkarnain, Andry Fatma Indriani Friska Abadi Gusti Nizar Syafi'i Halimah Halimah Hayatun Nufus Henning Titi Ciptaningtyas Hera Afidjati Herry Purnomo Husnul Khatimi Ibrahim Nur Insan Putra Darmawan Iftihatul Aulia Rahmah Iphan Fitrian Radam Iphan Fitrian Radam Iqbal Rizqi, Muhammad Irwan Budiman Jumadi Mabe Parenreng Marimin Marimin Maulani, Irham Maulidiya, Erika Maya Amalia Mohamad Fahmi Alatas Muhammad Afrizal Miqdad Muhammad Fachrurrazi Muhammad Nur Abdi Muhammad Reza Faisal, Muhammad Reza Muhammad Ridho A.G.D. Muhammad Ziki Elfirman Muliadi Muti'a Maulida Mutia Maulida Nandang Eko Yulianto Nurul Fathanah Mustamin Nurul Qamaria Paramita, Diana Putra, Andika Chandra Putri Ridha Amalia Raisa Amalia Rakhmadhany Primananda, Rakhmadhany Rani Sauriasari, Rani Reza Karimi Rita Rogayah Rudy Ansari, Rudy Rudy Herteno Ryan Ramel Samoedro, Erlang Saragih, Triando Hamonangan Sa’diah, Halimatus siti sheilawati Soehardiman, Dicky Sugiantoro Sugiantoro Sugiantoro Sugiantoro Sukamto Koesnoe Sukardi Sukardi Supeno Djanali Syarifah Soraya Takhwifa, Famila Taufik, Feni Fitriani Wenny Puspita Wijaya, Eka Setya Winarto Chandra Winda Agustina Windarsyah Windarsyah Yandra Arkeman Yulianto, Nandang Eko Yuslena Sari, Yuslena