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All Journal JPTK: Jurnal Pendidikan Teknologi dan Kejuruan Scan : Jurnal Teknologi Informasi dan Komunikasi Knowledge Engineering and Data Science JMKSP (Jurnal Manajemen, Kepemimpinan, dan Supervisi Pendidikan) Warta Penelitian Perhubungan Jurnal Praksis dan Dedikasi Sosial Journal of Vocational Education Studies Dinamika Bahari: Journal of Maritime Dynamic TEKIBA : Jurnal Teknologi dan Pengabdian Masyarakat Journal of Dinda : Data Science, Information Technology, and Data Analytics Maritime Park: Journal Of Maritime Technology and Socienty Innovative: Journal Of Social Science Research Bulletin of Social Informatics Theory and Application ITIJ Jurnal Riset & Teknologi Terapan Kemaritiman
Setiawan, Ariyono
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Humanities Automotive Engineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Education Electrical & Electronics Engineering Energy Engineering Environmental Science Industrial & Manufacturing Engineering Law, Crime, Criminology & Criminal Justice Mechanical Engineering Public Health Social Sciences Transportation Other

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CASE BASED REASONING MENGGUNAKAN ALGORITMA K-NEAREST NEIGHBORS UNTUK PENANGANAN PENYAKIT IKAN CUPANG HIAS Setiawan, Ariyono; Nahusuly, Barep J. A. I.; Putri, Fitri Aulia Yuliandi; Raditya, Askara; Mas Diyasa, I Gede Susrama
SCAN - Jurnal Teknologi Informasi dan Komunikasi Vol 15, No 2 (2020): Juni 2020
Publisher : Universitas Pembangunan Nasional "Veteran" Jawa Timur

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33005/scan.v15i2.2082

Abstract

Abstrak. Dalam usaha meningkatkan kualitas ikan Cupang hias dan mengurangi angka kematian akibat penyakit ikan hias, dibutuhkan pakar perikanan yang berpengalaman. Saat ini ketersediaan sumber daya pakar perikanan masih sangat terbatas dan banyak pengetahuan pakar yang hilang akibat kurangnya dokumentasi. Tujuan yang hendak dicapai adalah merancang suatu prototipe sistem penalaran berbasis kasus (CBR) yang dapat digunakan sebagai alat bantu untuk melakukan diagnosa penyakit pada ikan hias. Metode yang digunakan dalam penelitian ini menggunakan algoritma K Nearest Neighbors. Kesimpulan yang diperoleh adalah prototipe sistem CBR ini dapat mendiagnosa penyakit ikan hias dengan baik dan hasil analisisnya dapat diterima oleh pakar ikan Cupang hias maupun pengguna non pakar. Namun sistem ini masih memiliki kekurangan yaitu keterbatasan dalam basis pengetahuannya. Penggunaan sistem CBR ini tidak dimaksudkan untuk menggantikan pakar perikanan melainkan sebagai alat bantu dalam mendiagnosa penyakit pada ikan Cupang hias.Kata kunci: Case Based Reasoning, Ikari Cupang, Nearest Neighbors DOI : https://doi.org/10.33005/scan.v15i2.2082
Application of Value Clarification Technique (Vct) Models in Improving Learning Outcomes in Dangerous Goods Regulation Setiawan, Ariyono; Nurlaela, Luthfiyah; Sondang, Meini; Yundra, Eppy
Journal of Vocational Education Studies Vol 3, No 2 (2020)
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/joves.v3i2.2272

Abstract

Learning in school or in every educational institution has an important role as a media liaison between knowledge and students or students. There are many learning methods or models used in education. Of the many methods or modes, there is one of them is a clarification value technology (VCT) model. The teaching method is a knowledge of teaching methods used by a teacher or instructor. Another understanding is the presentation technique mastered by the teacher to teach or present learning materials to students in class both individually and in groups. the learning method by clarifying the value of the value clarification technique is teaching to shape students in finding and determining a value that is considered good in dealing with a problem through the process of analyzing existing values and embedded in students. Meanwhile, learning outcomes are abilities students have after they have a learning experience. The purpose of this study is to determine the level of learning outcomes of a particular institution. In this study the object of research from an educational institution that is competent in the field of flight is used. The institution is Surabaya Aviation Polytechnic. The subject of learning taken was Regulation of Dangerous Goods at Surabaya Aviation Polytechnic. In addition, this study was also conducted to determine differences in learning outcomes of cadets in the Lessons on Dangerous Goods Regulations in Surabaya Aviation using the Value Clarification Technique (VCT) method. This type of research is Classroom Action Research (CAR). The research carried out is included in the design of one group pretest and possttest research. the research design that contained pretest before being given treatment and posttest after being treated. This research was conducted at Surabaya Aviation Polytechnic. The data analysis technique used is the different test. Based on data management and analysis results, it can be concluded that the application of learning of Value Clarification Techniques can improve the learning outcomes of cadets. This is evidenced by the differences in learning outcomes of Cycle I and Cycle II significantly
Evaluation of the program for modeling and implementation of a virtual laboratory for solid-state electronics Suprapto, Yuyun; Pambudiyatno, Nyaris; Harianto, Bambang Bagus; Sabur, Fatmawati; Setiawan, Ariyono; Sazali, Abdul Muti
Jurnal Pendidikan Teknologi dan Kejuruan Vol 29, No 2 (2023): (October)
Publisher : Faculty of Engineering, Universitas Negeri Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21831/jptk.v29i2.63665

Abstract

During the Covid 19 pandemic, the teaching and learning process, especially in practical courses which were initially face-to-face, turned online. This change had several impacts on lectures, especially in terms of learning outcomes and the quality of graduates in terms of skills. Therefore, it is very necessary to carry out an evaluation of this learning process using the CIPP model developed by Stufflebeam. This evaluation model aims to find out how effective the use of virtual laboratories is in learning practical courses online. This research is evaluative research using a qualitative descriptive approach. Where the data used in this study is qualitative data with analytical methods. The technique used in this study is to examine existing data using grounded research methods. From the results of this study, there is the largest percentage, namely the use of virtual laboratories has been quite effective in online learning during the Covid-19 pandemic, with the improvement and development of media and learning models that are more innovative and creative. In addition, efforts in skills that directly deal with equipment still need to be fulfilled in real laboratories to increase enrichment and deeper understanding and skills in work procedures in the world of work later.
PREDICTION OF SEA LEVEL MEASUREMENT IN PANGPANG BAY FOR SEAPLANE LANDING SEAPLANE LANDING USING ID CONVOLUTIONAL NEURAL NETWORK Setiawan, Ariyono; Islam, Fajar; Efendi, Efendi; Globalisasi, Safitri Era; Hammad, Jehad A. H
Jurnal Praksis dan Dedikasi Sosial (JPDS) Vol 7, No 2 (2024)
Publisher : Universitas Negeri Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17977/um032v7i2p176-195

Abstract

This research investigates the relationship between sea level height and various environmental factors in Pangpang Bay, Indonesia, using Artificial Neural Network (ANN) and Convolutional Neural Network (CNN) modeling techniques. Daily data on sea level height, weather, and oceanography were collected from April 1 to April 15, 2024. An analysis was conducted on the factors affecting sea level height and the evaluation of predictive model performance. The findings reveal historical patterns of sea level height changes influenced by the variability of meteorological and oceanographic conditions. Although ANN and CNN models have varying degrees of accuracy, both show potential in predicting sea level height by considering environmental factors. Recommendations include the development of more advanced predictive models, deeper data observation, integration of multidisciplinary information, continuous environmental monitoring, and stakeholder collaboration. This research is expected to contribute to the understanding and management of environmental risks related to sea level height in Pangpang Bay.
IMPLEMENTASI MACHINE LEARNING UNTUK MENINGKATKAN KUALITAS OPERASIONAL SERVICE KENDARAAN DENGAN METODE RANDOM FOREST DAN LOGISTIC REGRESSION Mandenni, Ni Made Ika Marini; Wiratama, I Putu Bayu Adhya; Setiawan, Ariyono; Putri, Gusti Agung Ayu; Dana, I Putu Ngurah Krisna
Jurnal Praksis dan Dedikasi Sosial (JPDS) Vol 7, No 2 (2024)
Publisher : Universitas Negeri Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17977/um032v7i2p206-213

Abstract

IMPLEMENTATION OF MACHINE LEARNING TO IMPROVE THE QUALITY OF VEHICLE SERVICE OPERATIONS WITH RANDOM FOREST AND LOGISTIC REGRESSION METHODS Vehicle motor repairs (service) are an important aspect for motor vehicle owners to undertake. This activity is carried out by automotive workshops to ensure that the customer's vehicle is in prime condition. To boost sales, some automotive workshops offer various promotional packages to attract customer interest. However, in practice, this is done manually by workshop staff, resulting in suboptimal performance in offer presentations (customer calls). This research aims to build a recommendation system for package deals and offer dates to enhance the quality of customer calls in the operations of automotive workshops using Random Forest and Logistic Regression. The dataset used is operational data from customer calls at one automotive workshop in Bali. The Random Forest model achieves 91 percent accuracy, while Logistic Regression achieves 72 percent accuracy. The system developed can be used to recommend good package deals and offer dates to customers. Perbaikan kendaraan bermotor (service) merupakan hal penting untuk dilakukan bagi pemilik kendaraan bermotor. Kegiatan ini dilakukan oleh bengkel otomotif untuk memastikan kondisi kendaraan customer dalam kondisi prima. Untuk meningkatkan penjualan, beberapa bengkel otomotif menawarkan berbagai paket promo untuk menarik minat customer. Namun dalam pelaksanaannya, hal ini dilakukan secara manual oleh staff bengkel yang mengakibatkan performa penawaran (customer call) kurang optimal. Penelitian ini bertujuan untuk membangun sistem rekomendasi paket dan tanggal penawaran untuk meningkatkan kualitas customer call pada operasional bengkel otomotif menggunakan Random Forest dan Logistic Regression. Dataset yang digunakan adalah data operasional customer call salah satu bengkel otomotif di Bali. Model Random Forest mencapai akurasi 91 persen dan Logistic Regression mencapai akurasi 72 persen. Sistem yang dibangun dapat digunakan untuk merekomendasikan paket dan tanggal penawaran yang baik untuk ditawarkan kepada customer.
Improving the Competence of Cadet Caregivers Using the Pancasila Character Development Febiyanti, Herlina; Yuniar, Dwi Candra; Putra, Iwansyah; Setiawan, Ariyono
JMKSP (Jurnal Manajemen, Kepemimpinan, dan Supervisi Pendidikan) Vol. 7 No. 2 (2022): JMKSP (Jurnal Manajemen, Kepemimpinan, dan Supervisi Pendidikan
Publisher : Graduate Program Magister Manajemen Pendidikan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31851/jmksp.v7i2.9586

Abstract

This study aimed at determining the relationship between the development of the character of cadets and the improvement of the competence of caregivers of the Palembang Aviation Polytechnic so that it can be known what competencies are needed by caregivers so that they can develop the character of cadets.  This research was conducted at the Palembang Aviation Polytechnic in April 2022 to October 2022. The method used in this study is descriptive. Descriptive is an assessment that does not use mathematical, statistical or computer models. The data collection technique uses questions in the form of questionnaires through google forms, observations made by the author, as well as interviews with cadets and caregivers of the Palembang Aviation Polytechnic. The study population was all cadets and caregivers of the Palembang Aviation Polytechnic by taking sample data as a result of responses from respondents. The data processing will use Pearson's Product Moment method to determine the correlation between character development variables and caregiver competency improvement variables. The success of a program in the implementation of Pancasila Character development requires support from various parties in its implementation.
Wireframe Creation on SIOBEL Application User Interface Design using User Centered Design Wibawani, Sri; Terza Damaliana, Aviolla; Setiawan, Ariyono; Mas Diyasa, I Gede Susrama; Dwi Kusuma, Irma
Information Technology International Journal Vol. 1 No. 2 (2023): Information Technology International Journal
Publisher : Magister Teknologi Informasi UPN "Veteran" Jawa Timur

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33005/itij.v1i2.12

Abstract

The development of an interactive SIOBEL (Sistem Informasi Bela Neagara) application requires the application of User Centered Design in the UI/UX design phase. In this context, User Centered Design becomes an important cornerstone in ensuring an optimal user experience and meeting the needs of users when using the SIOBEL application as a platform to integrate state defense values with oubound. By applying UCD, the UI/UX wireframe design of the SIOBEL application can create a better and satisfying user experience. Users will feel engaged and comfortable when using the application.
Random Forest Algorithm to Measure the Air Pollution Standard Index Setiawan, Ariyono; Wibowo, Untung Lestari; Mubarok, Ahmad; Larasati, Khoirunnisa; Hammad, Jehad A.H
Knowledge Engineering and Data Science Vol 7, No 1 (2024)
Publisher : Universitas Negeri Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17977/um018v7i12024p86-100

Abstract

This study uses the Random Forest algorithm to measure and predict the Air Pollution Standard Index (APSI) at Blimbing Banyuwangi Airport. Air pollution data, including concentrations of O3, CO, NO2, SO2, PM2.5, and PM10, were collected from air monitoring stations at the airport from April 15-30, 2024. APSI measurement followed established formulas by relevant authorities. Data analysis utilized statistical approaches and computational algorithms. The findings reveal that air quality at the airport is generally "Moderate," with occasional "Good" days. The Random Forest algorithm effectively predicts APSI based on existing pollution data. These results provide insights for improving air pollution management at the airport and surrounding areas, emphasizing the need for continuous air quality monitoring. Days classified as "Moderate" suggest health risks for sensitive groups, indicating the need for targeted mitigation strategies. Recommendations include increasing green spaces, optimizing flight schedules to reduce peak pollution, and raising public awareness about air quality. The effectiveness of the Random Forest algorithm suggests its potential application in other airports for proactive air quality management. Future research could integrate real-time data and advanced machine learning models for more accurate and timelier APSI predictions.
Upaya Meningkatkan Pemahaman tentang Sistem Keamanan Kapal Sesuai ISPS Code di MT XYZ Utomo, Tri Rizki; Sutoyo, Sutoyo; Setiawan, Ariyono; Sutralinda, Dety
Innovative: Journal Of Social Science Research Vol. 5 No. 1 (2025): Innovative: Journal Of Social Science Research
Publisher : Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/innovative.v5i1.16960

Abstract

Industri maritim memegang peranan penting dalam konektivitas dan perdagangan global. Namun, keamanan dan keselamatan pelayaran kian terancam oleh berbagai kejahatan, termasuk perampokan, pembajakan, dan pencurian di atas kapal. Untuk mengatasinya, International Maritime Organization (IMO) memberlakukan International Ship and Port Facility Security Code (ISPS Code). Penelitian ini bertujuan untuk mengetahui penyebab ABK kurang memahami tentang ketentuan ISPS Code dan belum maksimal dalam penerapannya sekaligus dapat menjawab terkait upaya apa saja yang dapat dilakukan untuk meningkatkan pemahaman keamanan diatas kapal MT. XYZ.Dalam penelitian ini Teknik yang dilakukan dalam pengumpulan data yaitu observasi, wawancara, dokumentasi dan studi pustaka, adapun metode yang digunakan dalam penelitian ini menggunakan metode penelitian diskriptif kualitatif, dimana suatu hal yang diteliti dideskripsikan dengan menggunakan informasi langsung yang dikumpulkan dari tempat praktek laut.
Implementation of facial recognition technology in the verification system for api banyuwangi cadets using the haar cascade algorithm Setiawan, Ariyono; Prasetyo, Kukuh Tri; Rusdyansyah, Arief; Ardian, Dede
Bulletin of Social Informatics Theory and Application Vol. 8 No. 2 (2024)
Publisher : Association for Scientific Computing Electrical and Engineering

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31763/businta.v8i2.778

Abstract

This research aims to enhance the efficiency and security of the identity verification process for cadets at API Banyuwangi through the implementation of facial recognition technology using the Haar Cascade algorithm. In this study, experimental methods and statistical analysis were used to analyze the data obtained from a series of processing stages, including RGB to grayscale conversion, image resizing, and cropping. Data were collected through facial image acquisition using a webcam and processed to train the model and test the success of the verification system. Statistical analysis shows that preprocessing techniques have a significant impact on verification success, while facial recognition methods are also relevant. However, the data are not normally distributed, indicating the need for alternative analytical approaches. Thus, this research provides valuable insights into the potential of facial recognition technology in enhancing efficiency and security in identity management at educational institutions, while also highlighting the need for further research for the development of methods and deeper understanding.
Co-Authors Aji Prasetya Wibawa Ardian, Dede Bin Abdul Hadi, Abdul Razak Dana, I Putu Ngurah Krisna Daniel Dewantoro Rumani Dewi, Deshinta Arrova Dwi Kusuma, Irma Efendi Efendi Eppy Yundra, Eppy Fajar Islam Faller, Erwin Fatmawati Sabur Febiyanti, Herlina Globalisasi, Safitri Era Gusti Agung Ayu Putri Hammad, Jehad A. H Hammad, Jehad A.H Handoko, Wisnu Harianto, Bambang Bagus Ikhwanul Qiram Larasati, Khoirunnisa Luthfiyah Nurlaela Mas Diyasa, I Gede Susrama Mas Diyasa, I Gede Susrama Meini Sondang Mubarok, Ahmad Nahusuly, Barep J. A. I. Ni Made Ika Marini Mandenni Onn, Choo Wou Pambudiyatno, Nyaris Pamungkas, Anjar Patrisia Mintje, Quirina Ariantji Prasetyo, Kukuh Tri Putra, Iwansyah Putri, Fitri Aulia Yuliandi Raditya, Askara Rusdyansyah, Arief Sazali, Abdul Muti SRI RAHAYU Sri Wibawani, Sri Sutoyo Sutoyo Sutralinda, Dety Terza Damaliana, Aviolla Tri Prasetyo, Kukuh Utomo, Tri Rizki Wibowo, Untung Lestari Widyaningsih , Upik Widyaningsih, Upik Wiratama, I Putu Bayu Adhya Yuniar, Dwi Candra Yuyun Suprapto