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Rancang Bangun Mesin Press Serbuk Kayu Pembuatan Papan Partikel Sebagai Sarana Penunjang Kegiatan Praktikum: Design and Construction of a Wood Powder Press Machine For Making Particle Board as a Supporting Means For Practical Activities SUKMA, DODI; Tahrir, Muhammad; Santosa; Kurniawan, Dedy; Suryadi; Astuti, Soleha; Famela, Vidya
PERENNIAL Vol 20 No 1 (2024): Vol. 20 No. 1, April 2024
Publisher : Forestry Faculty of Hasanuddin University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24259/perennial.v20i1.30787

Abstract

This research activity studies the design of particle board press machines using iron plate materials and manual labor-based hydraulic presses. This research aims to produce a work tool that can facilitate the continuity of processing sawdust into particle boards so that practical activities can be carried out effectively and efficiently while still paying attention to the values determined in the practicum. The research method is carried out using the study of existing tools and will be made another tool with more straightforward work by analyzing the factors of weakness in existing tools. The working mechanism of the sawdust press machine to be made is manual, using human power, and the sawdust press machine is intended for practical student activities in the laboratory.
PEMANFAATAN SURVEI GEOLISTRIK DAN GEOTEKNIK UNTUK IDENTIFIKASI STRUKTUR BAWAH PERMUKAAN RENCANA JALAN LINGKAR POLITEKNIK PERTANIAN NEGERI SAMARINDA SM, A. Arifin Itsnani; Tahrir, Muhammad; Ridwan, Ridwan; Akshar, Muhammad; Barus, Mika Debora Br; Sutadji, Ahmad Aris Mundir
Wahana Teknik Sipil: Jurnal Pengembangan Teknik Sipil Vol. 29 No. 2 (2024): Wahana Teknik Sipil
Publisher : Politeknik Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32497/wahanats.v29i2.6162

Abstract

Soil conditions with weak zone points can cause damage to road structures such asland subsidence. Geoelectric surveys can identify subsurface structures based onvariations in rock resistivity. Road infrastructure crash due to weak zones of soilbearing capacity can be identified by geoelectric surveys and geotechnical tests assupporting analysis. Based on the master plan of Politani Samarinda 2025-2029 inthe southern area, a ring road of ± 1.5 km will be built, so geoelectric andgeotechnical support data are first needed as a basis for road planning. The mainobjective of this study is to mapping subsurface structure and identify the stability ofthe strong and weak zones of the soil in the planned area of the ring roadconstruction. The geoelectric resistivity survey uses the Wenner Schlumbergerconfiguration with 2 longitudinal tracks of ± 100 m per track with a spacing (a) of 5m which can identify the distribution of subsurface resistivity values laterallymapping.The resistivity value obtained from 2D geoelectric inversion is the lowestvalue of 2.62 ohm.m which is suspected as clay, medium 78.5 ohm.m which issuspected as sand, and the highest 7716 ohm.m which is suspected as sandstoneand used as a reference in the strong zone of the road building foundation.Furthermore, the USCS classification geotechnical test at 2 track points resulted insand (SM) and silt clay (MH) soil types based on mechanical laboratory tests. Theresults of the identification of geoelectric surveys and geotechnical tests have asignificant correlation with road construction that has a potential strong zonebearing capacity because the top soil is in the form of silt, clay, sand which isunderneath in the form of sandstone which is strong enough to withstand the load ofroad construction.
MACHINE LEARNING-BASED CLASSIFICATION OF SPACE TRAVEL ELIGIBILITY USING SUPPORT VECTOR MACHINE, RANDOM FOREST, AND XGBOOST Zahroni, Teguh Rizali; Imran, Bahtiar; Tahrir, Muhammad; Muh. Akshar; Marroh, Zahrotul Isti’anah
Jurnal Kecerdasan Buatan dan Teknologi Informasi Vol. 4 No. 2 (2025): May 2025
Publisher : Ninety Media Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.69916/jkbti.v4i2.310

Abstract

This study applies machine learning classification techniques to predict passenger displacement events based on corrupted data retrieved from a hypothetical interstellar spacecraft mission. Using a cleaned and preprocessed dataset containing demographic, behavioral, and exposure-related features, we compare the performance of three classification models: Random Forest, Support Vector Machine (SVM), and XGBoost. Each model is trained on 80% of the data and evaluated on the remaining 20% using precision, recall, f1-score, and accuracy metrics. The SVM model shows the most notable improvement after feature selection, achieving a balanced performance across metrics. Meanwhile, Random Forest and XGBoost models maintain consistent and robust accuracy above 80% on both training and testing sets. Feature importance analysis also supports the interpretability of the models, particularly in Random Forest and XGBoost. The comparative analysis demonstrates that ensemble-based methods such as Random Forest and XGBoost are more effective in handling the complexity of the dataset, making them suitable for predictive tasks in high-dimensional, partially incomplete data scenarios.
Peningkatan Produksi Kompos Biochar Pembenah Tanah melalui Rekayasa Konstruksi Mesin Pencacah Bahan Organik dalam Mendukung Adaptasi dan Mitigasi Perubahan Iklim Pertanian bagi Masyarakat Kampung Belimau-Kelurahan Lempake, Kelurahan Sempaja Utara, Kota Samarinda Syafii, Syafii; Zarta, Abdul Rasyid; Akshar, Muh; Marroh, Zahrotul Isti'anah; Nurmarini, Eva; Patulak, Ita Merni; Alex, Taman; Tahrir, Muhammad; Zahroni, Teguh Rizali; Yusdiansyah, Yusdiansyah; Ridwan, Ridwan; Azzahrah, Nadia Fatimah
Jurnal SOLMA Vol. 14 No. 2 (2025)
Publisher : Universitas Muhammadiyah Prof. DR. Hamka (UHAMKA Press)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22236/solma.v14i2.17412

Abstract

Background: Berkuranganya lahan subur, cekaman alam dan biotik terhadap lahan pertanian di Kalimantan Timur menuntut tindakan adaptasi yang bermuara pada peningkatan produktivitas dan keberlanjutan usaha pertanian. Adaptasi dan keberlanjutan menuntut inovasi kreativitas yang didasarkan riset, dengan adanya kegiatan produksi kompos biochar menggunakan mesin pencacah maka kuantitas hasil produksi akan semakin bertambah yang akan berpengaruh pada jumlah dan kualitas hasil pertanian. Tujuan dari kegiatan pengabdian ini adalah untuk memberikan pemahaman kepada masyarakat mengenai upaya peningkatan produksi kompos biochar pembenah tanah melalui rekayasa konstruksi mesin pencacah bahan organik. Mitra pada kegiatan pengabdian ini adalah Lembaga Swadaya Masyarakat (LSM) P4S Puri Leisa. Metode: Untuk mengatasi permasalahan maka diadakan penyuluhan dan pelatihan terhadap 15 – 20 orang petani dan mahasiswa, dengan materi teori dan praktek pembuatan kompos biochar selama 1 hari (4 jam) antara lain Penyiapan Alat Pirolysis, Pemilihan Bahan Biochar, Proses Pembakaran, Pemantauan Suhu dan Pemadaman, Penjemuran, Aktivasi dan Penepungan, Analisis dan Distribusi.  Hasil: Pada tahap awal kegiatan pengabdian, para peserta pelatihan mendapatkan kulsponsi penjelasan prosedur cara membuat kompos biochar dari instruktur. Tahap kedua adalah praktik dengan memasukkan bahan-bahan organik yang berasal dari limbah pertanian dan serasah kehutanan ke mesin pencacah untuk menghasilkan serbuk yang seragam sebelum akhirnya diproses menjadi biochar.  Limbah pertanian serta limbah kehutanan atau limbah alami organik lainnya tidak membutuhkan perlakuan khusus maupun perlakuan pendahuluan seperti dengan menjemurnya atau membuatnya menjadi bagian-bagian dengan ukuran lebih kecil. Kesimpulan: Melalui penggunaan mesin pencacah bahan alami, produktivitas kompos meningkat menjadi 800 kg per hari dibandingkan sebelumnya hanya berkisar 100-200 jika menggunakan tenaga manual. 
ANALISIS KETAHANAN PANGAN BERAS PROVINSI KALIMANTAN TIMUR TAHUN 2023-2032 Ramadan, Laode Muh Asdiq Hamsin; Alim, Nurmaranti; Tahrir, Muhammad
Nusantara Innovation Journal Vol. 1 No. 2 (2023): June
Publisher : Badan Pengembangan Sumber Daya Manusia Provinsi Kalimantan Timur

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70260/nij.v1i2.20

Abstract

Konsumsi beras rata-rata penduduk Indonesia mencapai 139,15 kilogram per kapita per tahun. Tingginya konsumsi beras suatu wilayah akan berbanding lurus dengan meningkatnya jumlah populasi pada suatu daerah tersebut. Provinsi Kalimantan Timur menjadikan nasi sebagai makanan pokok sehari-hari konsumsi beras per kapita masyarakat rata-rata 89,5 kg/tahun. Kebutuhan Provinsi Kalimantan Timur beras pada tahun 2025 diperkirakan lebih dari 535.000 ton. Kajian ini dilakukan melalui analisis mendalam terhadap berbagai dokumen pembangunan di Kalimantan Timur dan berbagai literatur lain yang relevan. Berbagai kecenderungan ke depan seperti jumlah penduduk, pola konsumsi dan lain-lain dengan perhitungan menggunakan data yang tersedia. Hasil kajian yang diperoleh menunjukkan bahwa Provinsi KALTIM mengalami defisit beras hingga tahun 2032 dengan rata-rata defisit sebesar -528.826,11 ton/tahun. Kebijakan skenario 1 yaitu Intensifikasi lahan sawah dengan asumsi produksi padi meningkat hingga 30%, dapat menurunkan defisit beras yang akan terjadi hingga tahun 2032 sebesar 21%. Kebijakan skenario 2 yaitu Ekstensifikasi lahan sawah dengan mencetak lahan sawah baru 2 kali lipat dari jumlah lahan sawah yang sudah ada, dapat menurunkan defisit beras yang akan terjadi hingga tahun 2032 sebesar 40% Kebijakan skenario 3 yaitu mengurangi konsumsi beras masyarakat KALTIM sebesar 10% per tahun, dapat menurunkan defisit beras * Korespondensi: Muhammad Tahrir E-mail: mtahrir26@gmail.com yang akan terjadi hingga tahun 2032 sebesar 24%. Kebijakan skenario 4 yaitu kombinasi dari ketiga skenario (1, 2, dan 3 ), dapat menurunkan defisit beras yang akan terjadi hingga tahun 2032 sebesar 65%.
Critical Path Analysis Using Microsoft Project 2016 on the Implementation Schedule of Residential House Construction Projects Tahrir, Muhammad; Ramadhani, Fajar; Baco, Dewi Astuti
TEPIAN Vol. 4 No. 4 (2023): December 2023
Publisher : Politeknik Pertanian Negeri Samarinda

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51967/tepian.v4i4.2969

Abstract

A project requires good planning, careful execution and effective and efficient use of resources. The implementation of the development of a construction project consists of a series of activities that are interrelated with one another. This is where the importance of planning and scheduling projects properly to facilitate implementation in the field and development can be completed on time according to schedule. The existence of obstacles or obstacles that will occur in the process of implementing a construction project can be seen and predicted from the level of urgency of the work items to be carried out, the analysis that will be used to predict the constraints or obstacles that may occur is by analyzing the critical path of the project implementation schedule construction. The use of Microsoft Project is very effective in analyzing data and determining critical paths. Based on the critical path analysis that has been carried out on the construction project schedule for the construction of residential houses, it is found that several work sub-items are on the critical path, especially in preparatory work and structural work, which means that the work sub-item in this work must pay close attention to the implementation process both in terms of resource readiness. human and equipment.