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PENGARUH PENGGUNAAN CRUMB RUBBER DENGAN MATERIAL PALU DAN FILLER BATU LATERIT TERHADAP NILAI KARAKTERISTIK MARSHALL PADA ASPHALT CONCRETE – BINDER COURSE (AC-BC) Mulyadi, Rahmat; M. Hidayat; Karminto
JURNAL INERSIA Vol. 11 No. 1 (2019): Jurnal Inersia
Publisher : POLITEKNIK NEGERI SAMARINDA

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Abstract

Aspal Concrete – Binder Course ( AC-BC ) adalah Lapisan yang berguna untuk meneruskan beban menuju ke pondasi. Untuk meningkatkan sifat fleksibilitas, salah satunya dengan penggunaan Crumb Rubber berasal dari limbah ban ukuran lolos saringan No. 4 (4,75 mm) sebagai bahan Tambah. Penelitian ini bertujuan mengetahui kadar aspal optimum campuran AC-BC dan mengetahui pengaruh penambahan Crumb Rubber dan filler batu laterit terhadap nilai karakteristik Marshall serta nilai kadar optimum penambahan crumb rubber pada campuran AC-BC. Tahapan awal penelitian mencari Kadar Aspal Optimum (KAO), kemudian dilakukan penambahan Crumb Rubber kadar 0%, 2%, 4%, 6%, dan 8% terhadap total berat benda uji dan filler batu laterit dengan kadar 5 %. Hasil penelitian didapatkan nilai Kadar Aspal Optimum (KAO) sebesar 5,4 % dan Nilai stabilitas, VMA, dan MQ tertinggi didapat pada kadar crumb rubber 2 % adalah 1111 kg dan 16,66%, nilai flow tertinggi pada kadar 8 % adalah 13,18 mm, nilai VIM tertinggi pada kadar 4 % adalah 4,96%. Nilai optimum yang dapat digunakan dalam campuran AC-BC adalah 2%. Penggunaan crumb rubber pada campuran AC-BC mampu menahan kelelehan plastis lebih baik dari campuran aspal konvensional.
Analisis perlakuan akuntansi aset biologis pada pt perkebunan nusantara xiii pabrik minyak sawit (pms) samuntai kabupaten paser Mulyadi, Rahmat; Konde, Yunus Tete; Lahaya, Ibnu Abni
Jurnal Ilmu Akuntansi Mulawarman (JIAM) Vol. 6 No. 3 (2021): September
Publisher : Fakultas Ekonomi dan Bisnis Universitas Mulawarman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29264/jiam.v6i3.5826

Abstract

Penelitian ini bertujuan untuk mengetahui bagaimana perlakuan akuntansi aset biologis pada PT Perkebunan Nusantara XIII PMS Samuntai dan membandingkannya dengan perlakuan akuntansi aset biologis berdasarkan PSAK 16: Aset Tetap. Metode penelitian yang digunakan adalah metode analisis deskriptif kualitatif. Hasil penelitian menujukkan bahwa perlakuan akuntansi aset biologis pada PT Perkebunan Nusantara XIII PMS Samuntai belum sesuai dengan Pernyataan Standar Akuntansi Keuangan (PSAK-16) baik dalam hal pengakuan, pengukuran, penyajian maupun pengungkapannya. Hal ini disebabkan oleh beberapa hal diantaranya, perbedaan dalam pengelompokkan aset biologis dimana perusahaan seharusnya mengelompokkan  aset biologisnya sebagai tanaman perkebunan bukan sebagai aset lain-lain, perusahaan membebankan dan mengkapitalisasi biaya administrasi dan umum ke dalam biaya perolehan aset biologis, sedangkan menurut PSAK-16 beban administrasi dan umum tidak dibebankan dan dikapitalisasi sebagai biaya perolehannya pada masing-masing kelompok tahun tanamnya, terjadi selisih perhitungan beban penyusutan maupun akumulasi penyusutan aset tanaman menghasilkan yang disebabkan oleh penyesuaian harga perolehan dari masing-masing aset tanaman menghasilkan, pada perusahaan aset biologis disajikan sebagai komponen aset lain-lain sedangkan menurut PSAK-16 aset biologis disajikan sebagai komponen aset tidak lancar, serta dalam hal pengungkapannya perusahaan tidak membuat Catatan atas Laporan Keuangan (CaLK) yang dianjurkan dalam PSAK-16.
Improving Diagnostic Accuracy on Prescription Text Data Using SMOTE-Optimized SVM Wanti, Linda Perdana; Prasetya, Nur Wachid Adi; Purwanto, Riyadi; Mulyadi, Rahmat; Ananta, Akmal Fauzan
Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Vol 10 No 2 (2026): April 2026
Publisher : Ikatan Ahli Informatika Indonesia (IAII)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29207/resti.v10i2.7441

Abstract

Disease classification based on drug prescription data plays a crucial role in helping healthcare professionals understand patient health conditions and supporting clinical decision-making. Drug prescription data actually contains a wealth of information regarding disease indications, but is generally presented in unstructured, free-text form. Furthermore, the data distribution across disease classes is often imbalanced, with some diseases receiving less data than others. This can lead to inaccurate classification models that favor disease classes with more data. This study aims to enhance the performance of disease classification based on drug prescription data by combining text mining approaches, the Synthetic Minority Oversampling Technique (SMOTE), and the Support Vector Machine (SVM) algorithm. The research process begins with text preprocessing, which includes case folding, tokenization, stopword removal, and stemming, to clean and normalize the prescription data. Next, the text data is converted into numeric features using the Term Frequency–Inverse Document Frequency (TF-IDF) method to enable processing by machine learning algorithms. To address the class imbalance issue, the SMOTE method is applied to training data by generating synthetic data for a limited number of disease classes. A classification model was then built using the SVM algorithm, known to be effective in handling high-dimensional text data. Model performance was evaluated using accuracy, precision, recall, and F1-score metrics. The results showed that the application of SMOTE and parameter optimization in Support Vector Machine significantly improved classification performance, with an accuracy of 92.6%, a precision of 91.8%, a recall of 93.4%, and an F1-score of 92.6%. The increased recall value in the class of patients diagnosed with diabetes indicates that the model is able to correctly identify most diabetes cases based on medical prescription data.
Penguatan Nilai-Nilai Keislaman Melalui Kegiatan Pentas Seni Islami di MTs Mardiyah Islamiyah Kecamatan Panyabungan Linur, Rahmat; Mulyadi, Rahmat; Fitri, Liwa Gusriza; Lubis, Pita Anggina; Batubara, Nurhanisah; Adilah, Nur; Haliza, Widiya; Sakinah; Lbs, Lusi Luria Mahdarini; Nasution, Salwa Hasyim
PEDAGOGIC: Indonesian Journal of Science Education and Technology Vol. 6 No. 2 (2026): PEDAGOGIC: Indonesian Journal of Science Education and Technology
Publisher : Lembaga Intelektual Muda (LIM) Maluku

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54373/ijset.v6i2.5353

Abstract

This study aims to describe the implementation of Islamic arts performances and to analyse the reinforcement of Islamic values instilled through these activities at MTs Mardiyah Islamiyah in Panyabungan District. The study employs a qualitative approach using a descriptive method. Data were collected through interviews, observations, and documentation involving the head of the madrasah, Islamic Religious Education teachers, activity coordinators, and students. Data analysis was conducted using qualitative descriptive methods through the stages of data reduction, data presentation, and drawing conclusions, with data validity reinforced through triangulation of sources and techniques. The research findings indicate that Islamic arts performances are conducted systematically through the stages of planning, preparation, implementation, and evaluation, with the activities comprising nasyid, hadrah, Islamic drama, religious poetry, and calligraphy. These activities are capable of instilling Islamic values such as faith, worship, and morals, as well as supporting character traits such as discipline, responsibility, cooperation, and Islamic brotherhood. This study concludes that Islamic arts performances are an effective medium for fostering Islamic values and shaping the religious character of students within the madrasah environment.