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Prosiding Seminar Nasional Rekayasa Teknologi Industri dan Informasi ReTII
Published by Institut Teknologi Nasional Yogyakarta
ISSN : 19075995     EISSN : -     DOI : -
Core Subject : Science, Social, Engineering,
Aerospace Engineering Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Electrical & Electronics Engineering Energy Engineering Environmental Science Industrial & Manufacturing Engineering Materials Science & Nanotechnology Mechanical Engineering Physics Transportation
Sub – Tema : Manajemen EBT (Energi Baru Terbarukan) & Energy Harvesting IOT Robotika Era Industry 4.0 Green Manufacturing Sains Terapan Berbasis Kecerdasan Teknologi Transportasi Cerdas & Ramah Lingkungan Rekayasa Material Maju & Teknologi Nano Teknologi Eksplorasi Mineral, Limbah & Lingkungan Sistem Peringatan Dini & Mitigasi Bencana Alam Teknologi Penanganan Pandemi Covid-19 Teknologi Informasi & Komunikasi Berkesinambungan Berbasis Layanan Technology in Teaching Technology of Online Business Perguruan Tinggi Dalam Pemberdayaan Masyarakat Pengembangan Ekonomi Kreatif di Indonesia Pembangunan Masyarakat Madani Siap Era Industri 4.0 & Society 5.0 Perencanaan Wilayah Kota Berkelanjutan Peran Teknologi Digital Pasca Pandemi & Perubahan Budaya Kerja Rekayasa Infrastruktur Berbasis Manajemen Resiko Bencana Proses Peer Review Editor akan menyerahkan tulisan yang telah diterima kepada tim redaksi untuk menentukan review bagi tulisan yang telah diterima. Pada dasarnya setiap tulisan akan direview oleh seorang ahli (mitra bestari) yang berkompeten di bidang yang menjadi fokus tulisan. Berdasar hasil review pertama, Editor akan menentukan prosedur lanjutan dari sebuah tulisan, diterima dengan perbaikan minor; diterima dengan perbaikan mayor, atau ditolak. Tulisan yang telah direview dan memerlukan perbaikan, akan segera dikirim kepada penulis melalui kontak yang tertera dalam tulisan. Selain substansi tulisan yang diatur dalam proses review, Redaksi juga berhak meminta perbaikan teknis, sebelum tulisan benar-benar diterbitkan. Waktu perbaikan harus memenuhi ketentuan seperti yang diberikan. Setelah proses perbaikan selesai, dan tulisan dinyatakan siap terbit, maka penulis juga harus menyerahkan pernyataan pengalihan hak cipta bagi distribusi tulisan kepada Redaksi Jurnal ReTII atau Penerbit. Semua tulisan yang masih dalam proses review, menjadi tanggung jawab redaksi dan redaksi akan bertanggung jawab terhadap kerahasiaan isi tulisan. Semua tulisan dan dokumen lain yang telah diserahkan kepada redaksi tidak akan dikembalikan
Arjuna Subject : Teknik (semua kategori) - Teknik (Lain-Lain)
Articles 905 Documents
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Penggunaan Metode Elbow untuk Pemilihan Jumlah Klaster dalam Identifikasi Bahan Material Shelter Modular SARI, SELY NOVITA; Pratama, Bagus Gilang; Prastowo, Rizqi
Retii 2024: Prosiding Seminar Nasional ReTII ke-19 (Edisi Penelitian)
Publisher : Institut Teknologi Nasional Yogyakarta

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Abstract

Modular shelters have become a popular solution for temporary infrastructure construction, especially in disaster-affected areas. One of the main challenges is selecting the appropriate materials, which can be addressed through cluster analysis to group materials based on similar characteristics. The Elbow Method is used to determine the optimal number of clusters in this analysis, with the "elbow" point on the graph indicating that four clusters are ideal. The K-Means algorithm is then applied to group material data based on the centroid of each cluster. The application of the Elbow Method has proven effective in determining the optimal number of clusters for material identification in modular shelter construction. By analyzing the relationship between the number of clusters and inertia, the Elbow Method successfully indicates that four clusters are the most appropriate. The Elbow graph shows a significant "elbow" after the third and fourth clusters, where the decrease in inertia slows down, indicating that adding more than four clusters does not significantly improve data grouping. Quantitatively, clustering with four clusters provides a balance between data variation and ease of interpretation. Each cluster exhibits distinct characteristics based on the average values of structural and architectural attributes, with variability measured through standard deviation
Pendekatan Principal Component Analysis untuk Peningkatan Efektivitas Pemeliharaan Jalan Kabupaten Pratama, Bagus Gilang; SARI, SELY NOVITA; Yuliani, Oni
Retii 2024: Prosiding Seminar Nasional ReTII ke-19 (Edisi Penelitian)
Publisher : Institut Teknologi Nasional Yogyakarta

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Abstract

Road maintenance is a crucial aspect of maintaining the quality and sustainability of transportation infrastructure, especially at the district level, as well-maintained roads support the smooth distribution and economic mobility. However, with the increasing number of road sections and limited budget, determining maintenance priorities becomes a challenge. This study aims to analyze the application of Principal Component Analysis (PCA) in improving the efficiency and accuracy of road maintenance priority determination at the district level. Using data from 141 road sections, variables such as road conditions, traffic volume, pavement width, and heavy vehicle count were analyzed using the PCA method. In conclusion, PCA is effective in simplifying the decision-making process regarding road maintenance by focusing on significant variables, thereby increasing the efficiency of resource management and the accuracy of maintenance priority determination. The data normalized using Min-Max Scaler was reduced to 9 principal variables that explained more than 90% of the variance from the original data.
Penerapan Back Propagation Neural Network untuk Identifikasi Bangunan di Wilayah Rawan Longsor Pratama, Bagus Gilang; SARI, SELY NOVITA; Prasojo, Joko
Retii 2024: Prosiding Seminar Nasional ReTII ke-19 (Edisi Penelitian)
Publisher : Institut Teknologi Nasional Yogyakarta

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Abstract

Landslides are a natural disaster that frequently occurs in Indonesia, requiring effective prediction methods for risk mitigation. This research aims to investigate the performance and accuracy of the Back Propagation Neural Network (BPNN) in identifying buildings in landslide-prone areas. The dataset used consists of satellite images and building parameters such as building plans, floor plans, foundations, and topographic elements. The data was normalized using the Min-Max Scaler and divided into training (60%), validation (15%), and test sets (25%). The BPNN model was designed with 8 neurons in the input layer, 30 neurons in the hidden layer, and 3 neurons in the output layer, using ReLU and Softmax activation functions. The results show that the model achieved an accuracy of 90%, with the confusion matrix demonstrating accurate classification for most buildings. Out of the total samples, only 1.2% misclassification occurred in the "Less Safe" category. In conclusion, the model achieved an accuracy of 93%, with an average precision of 93.4%, an average recall of 93%, and an F1-Score of 93%. These results indicate that the BPNN model has excellent performance in detecting and predicting the safety level of buildings in landslide-prone areas
Losses Material Crushing Products Single Toggle Jaw Crusher sumarjono, erry; Sukamto, Untung; Kadiman, Sugiarto
Retii 2024: Prosiding Seminar Nasional ReTII ke-19 (Edisi Penelitian)
Publisher : Institut Teknologi Nasional Yogyakarta

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Abstract

Losses material or loss of material could occur in the mineral processing or mineral dressing, due to the crushing of excavated materials (material) resulting from mining in crushing or grinding. The amount of product produced using crushing equipment can always be smaller than the amount of feed inserted. This laboratory scale research was carried out to calculate the percentage of material loss. The research was carried out using a single toggle type jaw crusher. The feed that is put into the jaw crusher is 30 rock samples, the weight of each rock sample is weighed, expressed as the weight of the feed. Weighing is also carried out on the crushing results, expressed as product weight. Calculation of material loss is obtained from the difference between feed weight and product weight. The loss factor is calculated based on the difference in the weight of the feed and product compared to the weight of the feed. The percentage of material loss is calculated by reducing the weight of the product by the weight of the feed multiplied by 100%. The results of the research show that based on the average calculation the loss factor = 0.067320429 and the percentage of material loss = 6.732042886%. The conclusion obtained based on research on 30 data shows that the percentage of material loss in the rock crushing process using a single toggle jaw crusher is below 10%.
PELATIHAN PEMODELAN NILAI RELIABILITAS ROTATING EQUIPMENT DI PT. PERTAMINA HULU ROKAN, PEKANBARU, RIAU Jayatun, Yohanes Agus
Retii 2024: Prosiding Seminar Nasional ReTII ke-19 (Edisi Pengabdian Kepada Masyarakat)
Publisher : Institut Teknologi Nasional Yogyakarta

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Abstract

This community service activity is a collaboration between the Yoyakarta National Institute of Technology (ITNY) and PT. Pertamina Hulu Rokan (PHR) moderated by Solid Corporotaion. The activity was held at the Pertamina Hulu Rokan (PHR) Training Center in Pekanbaru, Riau, from May 22 to 24, 2023, in the form of short course. The purpose of this activity is to increase the knowledge of engineers at PT. PHR on the method of assessing the reliability of rotating equipment based on reliability value. The course materials are basic maintenance theory and mathematical model for calculating equipment reliability value. After learning the theory, participants were divided into groups. Each group was given the task of calculating the reliability of the rotating equipment unit. The selected unit must be a unit handled by at least one member. The results of each group's assignment were presented in front of all course participants to be discussed. The participants' knowledge and understanding of the reliability of industrial equipment increased sharply after participating in this course. The increase can be seen from the average post-test results which are much higher than the average score of pre-test results. A simple theoretical presentation followed by tasks that must be done in groups is the main factor in the success of this community service activity.
APLIKASI MARCOV CHAIN DALAM PENENTUAN PERULANGAN LITOLOGI PADA KALI WIDORO KECAMATAN PATUK DAN SEKITARNYA, KABUPATEN GUNUNG KIDUL, DAERAH ISTIMEWA YOGYAKARTA rizqi, al hussein flowers; Elkawi Hawinu, Nodyka
Retii 2024: Prosiding Seminar Nasional ReTII ke-19 (Edisi Penelitian)
Publisher : Institut Teknologi Nasional Yogyakarta

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Abstract

Geostatistics is a branch of statistics that focuses on the analysis and interpretation of spatial data in earth science. Marcov chain is one of the most frequently used methods of geostatistics where this method can analyze and predict secular processes in space and time. In geology, the marcov chain method is widely used to model vertical and lateral variations in stratigraphic sequences. The research area is located in Patuk District, Gunungkidul Regency, Special Region of Yogyakarta or at coordinates S -878815 and E 110.548088. The research location is included in the Sambipitu formation, according to previous research the Sambipitu formation consists of sandstone alternating with tuffan sandstone which contains many trace fossils. The results of the marcov chain analysis showed that the highest value was found in the lithological loops of sandstones which showed that it was likely that the lithological loops would be formed in the form of sandstones and the results of the chi-squared analysis showed that the lithology in the research area was not patterned and the H1 hypothesis was rejected and H0 was accepted
Penentuan Rock Region berdasarkan Porositas dan Permebilitas Batuan dalam Simulasi Reservoir Migas Yunita, Lia
Retii 2024: Prosiding Seminar Nasional ReTII ke-19 (Edisi Penelitian)
Publisher : Institut Teknologi Nasional Yogyakarta

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Abstract

Before carrying out a reservoir simulation, porosity and permeability analysis is very important to understand the physical characteristics of the reservoir rock. Determination of these parameters helps identify the production capacity and fluid distribution in the reservoir. Correlation of core data with log data and stratigraphic simulations can provide more accurate predictions about the distribution of porosity and permeability in heterogeneous fields. Core data obtained through SCAL (Special Core Analysis) and RCAL (Routune Core Analysis) is processed into rock regions to group good and bad rock characteristics. The aim of this research is to determine rock regions based on rock permeability porosity. The method used with SCAL and RCAL analysis includes porosity, core depth permeability. After that, determine the FZI (Flow Zone Index) value obtained from the RQI (Reservoir Rock Quality Index) data divided by the NPI (Normalized Porosity Index). Then find the cumulative probability value by dividing the core sample number by the total sample number. The RQI value is obtained through permability and effective porosity data, while the NPI is obtained through porosity data. The results of research on the "ZN" formation obtained plotting between the porosity and permeability of rocks which have six rock regions based on porosity and permeability data obtained through SCAL and RCAL
G GEOLOGI DAN KARAKTERISTIK GUNUNG LUMPUR ( MUD VOLCANO ) SUBDISTRIK OESILO, DISTRIK OECUSSE, TIMOR LESTE: GEOLOGI DAN KARAKTERISTIK GUNUNG LUMPUR ( MUD VOLCANO ) SUBDISTRIK OESILO, DISTRIK OECUSSE, TIMOR LESTE Santi Viandi, Mardiana
Retii 2024: Prosiding Seminar Nasional ReTII ke-19 (Edisi Penelitian)
Publisher : Institut Teknologi Nasional Yogyakarta

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Abstract

ABSTRACTThe Research Setting Is Administratively Located At Oesilo Sub-District, Oecusse, East Timor.The Research Aimed At Figuring Out The Characteristics Of Oesilo Mud Volcano In Terms OfMaterials Content, Physical Appearance, And Formation Process Which Then Compared WithThe Surrounding Geological Condition. The Lithology Of Research Setting Is Composed OfLimestone In The Age Of Upper Miocene (N15) – Pliocene (N18). Geological StructureBecomes The Factor Or The Primary Causal For The Emergence Of Mud Volcano At Oesilo,Oecusse. It Is Anticline Structure Which Then Involved In Fault Processes Named Bend 1 And 2Normal Right Slip Fault Directed To North And South, As Well As Native Normal Slip FaultDirected To East-West. The Analyses On Xrd, Water, Petrography, And Paleontology ReportedThat All Six Mud Volcanoes Have The Same Source Of Mud. The Materials Exhaled By ThemAre Dense Mud And Gas, Mud With Water, Gas, And Stone Fragment. The Fossil Analysis OnThe Mud Indicated That The Exhaled Mud Materials Are Categorized Old. Thin Section OnSome Stone Fragments Expelled Showed The Fossil Content Of Globegerinoides ObliquusbolliIn The Age Of Upper Miocene – Pliocene.Keywords: Mud Volcano, Tear Faults, Oesilo, East Timor
Aplikasi Analytical Spectral Device (ASD) pada Pemetaan Mineral Ubahan Endapan Epitermal Sulfida Rendah Emas-Perak di PT Nusa Halmahera Minerals, Kabupaten Halmahera Utara, Provinsi Maluku Utara M KASIM, MUKARRAMAH
Retii 2024: Prosiding Seminar Nasional ReTII ke-19 (Edisi Penelitian)
Publisher : Institut Teknologi Nasional Yogyakarta

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Abstract

Gosowong goldfield dikenal sebagai komplek mineralisasi epitermal sulfida rendah (Carlile et al, 1998) terdapat 3 area deposit yang ekonomis dan telah ditambang oleh PT Nusa Halmahera Minerals sejak tahun 1999 yaitu deposit Gosowong, Toguraci dan Kencana. Mineralisasi epitermal sulfida rendah dicirikan dengan urat-urat kuarsa yang membawa logam berharga termasuk emas-perak. Prospek “X” merupakan salah satu lokasi mineralisasi emas milik PT Nusa Halmahera Minerals sebagai pemegang izin kontrak karya, yang secara administratif termasuk ke dalam Kabupaten Halmahera Utara, Provinsi Maluku Utara, Indonesia. Berdasarkan geologi regional, Halmahera merupakan bagian dari busur vulkanik yang berlokasi di sebelah timur lempeng Laut Maluku, dimana busur Sangihe dan busur Halmahera yang berseberangan telah aktif bertemu sejak akhir Pliosen (Richards, Basuki dan Priyono, 2004). Penelitian ini menjelaskan secara ringkas aplikasi Analytical Spectral Device (ASD) pada pemetaan mineral ubahan yang dilaksanakan di PT Nusa Halmahera Minerals. Instrumen ASD merupakan spectrometer portable lapangan yang dapat mengidentifikasi mineral dengan mengukur absorpsi spektral vibrasionalnya. Gambaran absorpsi ini diakibatkan oleh variasi komposisi, kristalinitas dan komposisi mineralnya. Kumpulan mineral ubahan di prospect “X” menunjukan penyebaran distribusi secara lateral dengan kumpulan mineral ubahan smketit, kaolinit, dickit, silika massif dan vuggy dengan mineral oksidasi seperti hematite dan goethite Kata kunci: Epitermal, Analytical Spectral Device, Hidrotermal
MEKANISASI PENGIRIS JAHE UNTUK PENINGKATAN PRODUKSI DI UMKM SARI JAMPI sugati, daru
Retii 2024: Prosiding Seminar Nasional ReTII ke-19 (Edisi Pengabdian Kepada Masyarakat)
Publisher : Institut Teknologi Nasional Yogyakarta

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Abstract

Mechanization of production equipment in UMKM an effort to increase productivity needs to get attention from higher education academics. UMKM Sari Jampi is an UMKM which operates in the field of processing herbal products. One of the products produced is the wedang uwuh This concoction requires sliced ​​ginger as one of the components in the concoction. The process of slicing ginger from the rhizome into thin flakes has been using a mechanical slicer. This slicing tool has limitations, namely inconsistent thickness, processing time, and the amount of labor. The equipment mechanization process is carried out by changing the driving force from human power to power from an electric motor. The previously reciprocal slicing mechanism has been changed to rotational. The results of this mechanization provide results in the form of thinner and more consistent slice quality, one person is required to work instead of two, and production capacity increases from 4 kg per hour to 20 kg per hour.

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