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INDONESIA
Prosiding Seminar Nasional Rekayasa Teknologi Industri dan Informasi ReTII
ISSN : 19075995     EISSN : -     DOI : -
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
Articles 900 Documents
Karbon Aktif Tersulfonasi dari Sekam Padi sebagai Katalis Asam Padat pada Sintesis Biodiesel dari PAO (Palm Acid Oil) Haryono
Retii 2024: Prosiding Seminar Nasional ReTII ke-19 (Edisi Penelitian)
Publisher : Institut Teknologi Nasional Yogyakarta

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Abstract

The scarcity of fossil fuels as a result of excessive use is a serious problem in the energy sector, so renewable and environmentally friendly alternative fuels are needed, one of which is biodiesel. Biodiesel can be obtained through an esterification or transesterification process with free fatty acids or triglycerides as raw materials with short chain alcohols catalyzed by acids or bases. The aim of this research is to synthesize sulfonated activated carbon from rice husks as a solid acid heterogeneous catalyst for the synthesis of biodiesel from palm acid oil (PAO). The sulfonated activated carbon catalyst is prepared from rice husk charcoal which is activated with a mixture of carbonate salts, then the activated carbon is acidified through impregnation of sulfonic functional groups from sulfuric acid with the help of a microwave. The performance test of the solid acid catalyst for biodiesel synthesis was carried out at a PAO to methanol mole ratio of 1:32 and a catalyst content of 3%. The biodiesel synthesis reaction was carried out at 65°C for 2 hours. The research results showed that the sulfonate functional group (-SO₃H) was identified from the FTIR results of absorption at the wave number 1216 cm-1. These results confirm that the acidification of activated carbon from rice husks has been successfully carried out. The acid density test on the catalyst obtained an acidity value of 3.21 mmol H+/g. In the performance test of the solid acid catalyst for biodiesel synthesis, biodiesel was obtained with a yield of 88.4%, and 83.74% of free fatty acids from PAO were successfully converted into biodiesel.
Rancang Bangun Sistem Pemantauan Lampu Lalu-Lintas Berbasis PLC-SCADA Tugino
Retii 2024: Prosiding Seminar Nasional ReTII ke-19 (Edisi Penelitian)
Publisher : Institut Teknologi Nasional Yogyakarta

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Abstract

Traffic accidents are caused by disruption to traffic lights. This study aims to design and implement a prototype traffic light monitoring system based on PLC-SCADA to improve safety and traffic management through the integration of Programmable Logic Controller (PLC) and Supervisory Control and Data Acquisition (SCADA). The system development method involves the design of hardware and software that are connected simultaneously to the traffic light infrastructure. Current sensors are used to detect traffic light damage, while the SCADA system allows remote monitoring and control of traffic lights. The advantage of this system is that it can detect and respond quickly to traffic light damage so that repairs can be made immediately. The results of the study have shown that the prototype has worked well according to the desired design. The results of this study are expected to contribute to innovation in traffic light technology and provide benefits in improving traffic management and reducing accidents due to traffic light damage
KUALITAS KUAT TEKAN BATUGAMPING KRISTALIN DAN BATUGAMPING TERUMBU DI DAERAH BANJARJO DAN SEKITARNYA, DONOMULYO, MALANG, JAWA TIMUR: Bahasa indonesia Dapri Aminu; Obrin Trianda, S.T., MT; Paramitha Tedja Trisnaning. S.T; Mirza Adiwarman, S.T., M.T; Anggi Deliana Siregar, ST., MT
Retii 2024: Prosiding Seminar Nasional ReTII ke-19 (Edisi Penelitian)
Publisher : Institut Teknologi Nasional Yogyakarta

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Abstract

The utilization of class C mining materials, especially crystalline limestone and reef limestone in the construction world plays a very important role in supporting a development project. In the research area, precisely in Banjarjo Village, Malang Regency, these mining materials have not been utilized optimally. Therefore, the researcher conducted this special study aimed at comparing the quality of each existing rock using the compressive strength test analysis method. Based on the results of the compressive strength test analysis carried out at the Sabo Testing Center Laboratory in Yogyakarta, a comparison of the compressive strength values ​​of crystalline limestone with a value of 549.441 kg/cm² - 1454.830 kg/cm² from four samples taken in different places and reef limestone has a compressive strength value of 449.593 kg/cm² - 640.866 kg/cm² from three samples taken in different places. Keyword : Crystalline Limestone, Reef Limestone, Compressive Strength Test
PENGARUH ADSORPSI BESI (Fe) TERHADAP MORFOLOGI ADSORBEN Mycelia Paradise; Yudha Agung Pratama; Faisol Mukarom; Triyono
Retii 2024: Prosiding Seminar Nasional ReTII ke-19 (Edisi Penelitian)
Publisher : Institut Teknologi Nasional Yogyakarta

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Abstract

This research aims to analyze the effect of the adsorption process on the morphology of adsorbents consisting of a mixture of claystone, zeolite, and activated coconut shell charcoal in adsorbing Fe ions from acid mine drainage. The adsorption process was carried out in a batch system using a hotplate stirrer on a laboratory scale. The experimental method was applied to evaluate the characterization of the adsorbent surface morphology before and after the adsorption process using a Scanning Electron Microscope (SEM). The research results showed significant changes in the adsorbent surface morphology after the adsorption process, indicated by differences in the structure and topography of the adsorbent.
Analisis Sentimen Ulasan Aplikasi Gojek Di Google Play Store Menggunakan Multinomial Naïve Bayes Lundam, Ingrida Suryani; Darmawan, J.B. Budi
Retii 2024: Prosiding Seminar Nasional ReTII ke-19 (Edisi Penelitian)
Publisher : Institut Teknologi Nasional Yogyakarta

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Abstract

The development of technology in Indonesia has facilitated various human activities, including in the field of transportation through online-based services such as Gojek, a decacorn company that provides various transportation services. Gojek has changed the way Indonesian people move around in urban areas. Understanding user sentiment towards the Gojek application, especially through reviews on the Google Play Store, is key to improving and improving the services offered. This study aims to evaluate the performance of sentiment analysis on 4746 Gojek application reviews on the Google Play Store using the Naive Bayes algorithm. The methods used include data translation processes, labeling using Vader, text preprocessing, word weighting with TF-IDF, data balancing with SMOTE, and model testing using K-fold cross validation. Sentiment classification is done using Multinomial Naive Bayes, and model evaluation using a confusion matrix. The research results show that testing with K-fold cross validation k = 11 and alpha = 0.001 produces the highest accuracy of 92.25%, precision of 92.16%, recall of 89.71%, and F1-score of 90.42%.
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.