Article Per Year (5 Year)
p-Index From 2021 - 2026
3.893
P-Index
This Author published in this journals
All Journal Teknologi dan Kejuruan: Jurnal teknologi, Kejuruan dan Pengajarannya Jurnal Pendidikan Vokasi APTEKINDO ELECTRANS INVOTEC JITTER (Jurnal Ilmiah Teknologi Informasi Terapan) Jurnal ULTIMA Computing JURNAL PENDIDIKAN TAMBUSAI Jurnal Teknologi Terpadu JURNAL BUDIDAYA PERTANIAN Journal of Vocational Education Studies (JOVES) TECHNO-SOCIO EKONOMIKA REKA ELKOMIKA: Jurnal Pengabdian kepada Masyarakat Jurnal Pengabdian Masyarakat (ABDIRA) International Journal of Electronics and Communications Systems Eduvest - Journal of Universal Studies IJIS Edu : Indonesian Journal of Integrated Science Education SNTE Pedagogia : Jurnal Ilmiah Pendidikan
Iwan Kustiawan
Universitas Pendidikan Indonesia
Aerospace Engineering Agriculture, Biological Sciences & Forestry Automotive Engineering Biochemistry, Genetics & Molecular Biology Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Mathematics Mechanical Engineering Neuroscience Nursing Social Sciences Other

Published : 25 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 25 Documents
Search

 1   2   3 
Kewenangan Pemerintah Kota Banjar dalam Pelaksanaan Pasal 44 Huruf A Undang-Undang Nomor 22 Tahun 2009 tentang Lalu Lintas dan Angkutan Jalan Asmara, Anjar; Kustiawan, Iwan; Lubis, Fahmi Zulkifli
Jurnal Pendidikan Tambusai Vol. 5 No. 3 (2021): 2021
Publisher : LPPM Universitas Pahlawan Tuanku Tambusai, Riau, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/jptam.v5i3.3213

Abstract

Permasalahan dalam penelitian ini yaitu mengenai sejauhmanakah kewenangan Pemerintah Kota Banjar dalam pelaksanaan Pasal 44 Huruf a Undang-undang Nomor 22 Tahun 2009 tentang Lalu Lintas dan Angkutan Jalan; kendala-kendala dan upaya-upayanya. Metode yang digunakan dalam penelitian ini adalah metode deskriptif analitis, dengan metode pendekatan yuridis normatif. Berdasarkan hasil penelitian maka dapat disimpulkan bahwa pelaksanaan Pasal 44 Huruf A Undang-Undang Nomor 22 Tahun 2009 Tentang Lalu Lintas Dan Angkutan Jalan belum optimal. Hal ini dapat dilihat dengan masih banyaknya pengguna kendaraan yang memarkir kendaraannya di luar area parkir yang telah disediakan karena tempat parkir penuh dan sering menimbulkan kemacetan. Kendala-kendalanya adlah terbatasnya anggaran yang disediakan oleh Pemerintah Kota Banjar; kurangnya kesadaran dan responsif masyarakat dalam penetapan dan pembangunan fasilitas parkir; terbatasnya Sumber Daya Manusia yang berkualitas dalam penetapan dan pembangunan fasilitas parkir; pertumbuhan penduduk dan jumlah kendaraan bermotor yang semakin meningkat; dan kecenderungan pertumbuhan kawasan bisnis atau komersil yang terus bekembang semakin banyak. Upaya-upayanya adalah yang dilakukan dalam kewenangan Pemerintah Kota Banjar Dalam meningkatkan peran serta pemerintah daerah melalui bimbingan teknis dan bantuan teknis yang diperlukan untuk pelaksanaan penetapan lokasi dan pembangunan fasilitas parkir; pemerintah daerah merevisi Perda Nomor 6 Tahun 2004 Tentang Rencana Tata Ruang Wilayah Kota Banjar yang sudah tidak sesuai dengan keadaan sekarang khususnya untuk lokasi parkir dikawasan komersil; dan meningkatkan koordinasi, pembinaan dan pengawasan oleh dinas-dinas terkait dalam hal penetapan lokasi dan pembangunan fasilitas parkir.
Hybrid Machine Learning Model untuk memprediksi Penyakit Jantung dengan Metode Logistic Regression dan Random Forest Al Azhima, Silmi Ath Thahirah; Darmawan, Dwicky; Arief Hakim, Nurul Fahmi; Kustiawan, Iwan; Al Qibtiya, Mariya; Syafei, Nendi Suhendi
Jurnal Teknologi Terpadu Vol 8 No 1: Juli, 2022
Publisher : LPPM STT Terpadu Nurul Fikri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54914/jtt.v8i1.539

Abstract

The heart is the main organ that must work properly and regularly. If there is interference, it will be fatal, namely the onset of a heart attack. Heart attack is included in the 10 diseases with a high risk of death. This is caused by stress factors, blood pressure, excessive work, blood sugar, and others. The purpose of this study is to predict heart disease using Machine Learning (ML) algorithms as an early preventive measure on desktop-based information systems. With Machine Learning models, the hybrid model can increase the accuracy value of an ML method that is added to other ML methods. The accuracy value obtained from the Hybrid Model Machine Learning using the Random Forest and Logistic Regression methods is 84.48%, which is an increase of 1.32%.  
A Bibliometric Analysis of the Employability Skills Research Trends in Vocational Education Maharbid, Allan Anugraha; Kustiawan, Iwan
Teknologi dan Kejuruan: Jurnal Teknologi, Kejuruan, dan Pengajarannya Vol 45, No 2: September 2022
Publisher : Fakultas Teknik Universitas Negeri Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17977/um031v45i22022p114-122

Abstract

Employability skills are the skills needed to acquire, retain, and do a good job. Employability skills are essential in helping prepare students to increase competitiveness and work productivity. The world of work wants graduates to be competitive and technically competent with skills relevant to technological developments. This study aims to analyze research trends related to employability skills in vocational education. We use bibliometric analysis procedures on 1123 published articles in the Scopus database. The results of this study reveal citation, co-authorship, co-citation, and keyword analyses producing a pattern of research maps in vocational education. The findings identify publication trends, widely cited articles, contributing countries, productive journals, and obtain information for future research on employability skills
Digital Maturity in Vocational Secondary Schools (SMK) Yarmanto, Edhy Sri; Setiawan, Agus; Kustiawan, Iwan
Journal of Vocational Education Studies Vol. 8 No. 2 (2025): Vol 8 No 2
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/joves.v8i2.12243

Abstract

Digital transformation has taken place in various sectors of life, and has also penetrated into Vocational Secondary Schools (SMK). Research on digital maturity in vocational schools is still rare. The purpose of this study is to develop a digital maturity model that includes the dimensions and the level of digital maturity, digital maturity measurement instruments, and to measure digital maturity in vocational schools. The instrument developed has met the validity and reliability test and can be used for quantitative research on digital maturity measurement. The dimensions of digital maturity include: management and organization, people and culture, products and services, technology, and organizational operations. Meanwhile, the maturity level consists of 5 levels: not ready, initial readiness, intermediate readiness, mature readiness, and already implemented. The measurement results showed that the vocational school that was the subject of the study was in mature readiness. This study concludes that digital transformation in vocational schools is a necessity. The resulting assessment models and instruments can be used to measure digital maturity in vocational schools. This study was conducted at a vocational school, which opened up space for future study. The form of research can deepen the dimension of digital maturity, or research for high schools, both public or private high schools.
Profile of the Need for STEM Teaching Materials in Science Learning in Vocational Schools Susilawati, Aay; Rochintaniawati, Diana; Hasanah, Lilik; Kustiawan, Iwan; Rustaman, Nuryani; Kaniawati, Ida
IJIS Edu : Indonesian Journal of Integrated Science Education Vol 5, No 2 (2023): July 2023
Publisher : UIN Fatmawati Sukarno Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29300/ijisedu.v5i2.3297

Abstract

Science education in vocational schools has undergone several changes in subject characteristics. Scienceteachers need to understand these characteristics to facilitate the delivery and implementation of learning inthe classroom. Therefore, the purpose of this article is to describe the requirements profile of needs forSTEM teaching materials in science learning at vocational schools. The research methods used aredescriptive and qualitative through field observations (field studies) derived from professional research inthe form of curriculum documents, lesson plans, learning videos, and analysis of six science textbooks invocational school. The results of a curriculum analysis from document, videos and textbooks on theavailability of project-based STEM components in learning equipment plans and existing materials are stillinadequate to support the life skills of 21st century professional students, and the following curriculumrequirements are: Not yet supported. So, in future research need integration, project-based, and underlyingskills according to competency skills in vocational school.
Pengembangan Sistem Prediksi Waktu Penyiraman Optimal pada Perkebunan: Pendekatan Machine Learning untuk Peningkatan Produktivitas Pertanian Anggarda, Mohammad F; Kustiawan, Iwan; Nurjanah, Deasy R; Hakim, Nurul F A
JURNAL BUDIDAYA PERTANIAN Vol 19 No 2 (2023): Jurnal Budidaya Pertanian
Publisher : Universitas Pattimura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30598/jbdp.2023.19.2.124

Abstract

Modern agriculture relies heavily on technology, especially in irrigation management and crop watering. Several previous studies have applied field data-based predictive techniques to improve crop yields. This research aims to develop a prediction system for optimal watering time in plantations and agriculture using a machine learning approach. The rigorous methodology includes data capture, pre-processing, model evaluation and testing, validation, and visualization. High accuracy demonstrates the system's reliability in determining optimal watering needs to improve resource efficiency and crop yields in agriculture. The data obtained from the automatic weather station (AWS) via thingsboard is processed sequentially, starting from data retrieval in json format using postman to transformation into csv files with proper timestamp adjustment. The pre-processing stage includes data cleaning, variable selection, data integration, and generating a clean dataset. In the evaluation stage, the dataset is divided into training data and test data, with the application and comparison of logistic regression, random forest and decision tree models applied as classifiers. Furthermore, the validation and results stage includes prediction, performance testing using the confusion matrix, and visualization of prediction results in the form of text and icons that aim to increase interpetability for users through Google Collaboratory. The results of this research provide an overview of the optimal watering time based on the dataset from the automatic weather station. Further analysis shows that the implementation of machine learning models significantly improves the prediction accuracy, proving the effectiveness of the system in providing more precise watering time recommendations to increase agricultural productivity. The main objective is to develop a machine learning-based watering time prediction system using data from the automatic weather station and evaluate various classifier algorithms to select the best model.
One-Phase Smart Switch using OpenCV Hand Gesture Recognition Fauzan, Mochamad Rizal; Khairi, Saiqa Fatur; Kaniarudi, Neneng Puspita; Ath Thahirah Al Azhima, Silmi; Arief Hakim, Nurul Fahmi; Kustiawan, Iwan; Al Qibtya, Mariya; Elvyanti, Siscka
ULTIMA Computing Vol 16 No 1 (2024): Ultima Computing : Jurnal Sistem Komputer
Publisher : Faculty of Engineering and Informatics, Universitas Multimedia Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31937/sk.v16i1.3633

Abstract

The need for simplicity in various activities encourages further technological development. One of them is a system to turn lights on and off with just a hand gesture. This hand gesture-based One-phase smart switch uses OpenCV, Arduino Nano, relays, and webcam cameras to recognize hand gestures. Static finger movements are used as buttons to turn on the lights. The results show that the algorithm used has high reliability with a precision score of 0.90, sensitivity of 0.90, accuracy of 0.96, and F1-score of 0.90. The accuracy of the system is affected by light intensity, distance, and hand tilt angle. At a light intensity of 70 LUX, the accuracy reaches 100%, while at 40 LUX the accuracy ranges from 98-99%. A distance of 30-60 cm gave the best accuracy of 100%, but decreased at longer distances. A hand tilt of 0° gives 100% accuracy, while at an angle of 60° the accuracy drops significantly, especially for the fifth finger with 64% accuracy. The average response time of the light to finger movement is 0.133 seconds. This device can recognize a variety of finger patterns well, thus meeting the desired needs.
Steganografi Citra Digital Menggunakan Pendekatan Least Significant Bit dan Discrete Cosine Transform Imanudin, Rizkia Fahmi Noviansyah; Kustiawan, Iwan; Elvyanti, Siscka
Seminar Nasional Teknik Elektro Vol. 3 No. 1 (2023): SNTE II
Publisher : Forum Pendidikan Tinggi Teknik Elektro Indonesia Pusat

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Keamanan siber adalah salah satu aset terpenting yang harus dijaga selama proses transmisi data melalui Internet. Salah satu strategi untuk melindungi informasi penting adalah steganografi yang merupakan teknik penyembunyian informasi ke dalam multimedia seperti teks, audio, gambar digital, dan video. Penelitian ini bertujuan untuk mengimplementasikan metode steganografi pada file citra digital menggunakan skema Least Significant Bit (LSB) dan Discrete Cosine Transform (DCT). Parameter uji kinerja yang diukur adalah Peak Signal-to-Noise Ratio (PSNR), ketahanan terhadap kompresi, dan transparansi file yang disisipkan pesan dengan menghitung Mean Opinion Score (MOS). Kami menggunakan pendekatan water fall dalam penelitian ini. Hasil penelitian menunjukkan bahwa nilai PSNR dengan metode LSB mendapatkan hasil yang lebih baik dibandingkan dengan metode LSB lainnya. Sedangkan dari segi ketahanan terhadap kompresi, file citra digital memiliki ketahanan terhadap kompresi karena pesan yang diekstrak dalam file tidak mengalami perubahan. Berdasarkan pengolahan data MOS, metode LSB mengungguli persepsi pengguna dibanding metode lainnya. Hal ini diakibatkan karena metode DCT menghasilkan sedikit distorsi pada citra digital yang berpengaruh pada kejernihan dari berkas.
AIoT-Based Soil Moisture Monitoring System for Precision Agriculture and Energy Efficiency in Rural Smart Villages Mandasari, R Deasy; Adrian, Ronald; Kustiawan, Iwan; Alam, Sahirul; Lukman Hakim, Dadang; Wahyudin, Didin
REKA ELKOMIKA: Jurnal Pengabdian kepada Masyarakat Vol 6, No 3 (2025): Reka Elkomika
Publisher : Institut Teknologi Nasional, Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26760/rekaelkomika.v6i3.217-225

Abstract

Alamendah Village is a horticultural area where irrigation and energy use are still managed manually, leading to water inefficiency and unmonitored electricity consumption. This study developed an AIoT-based system using ESP32 microcontrollers and soil moisture sensors to support precision irrigation and energy monitoring. The system design included sensor calibration to convert ADC values into moisture percentages, threshold-based irrigation recommendations, and a placement formula to determine sensor deployment. Field testing in strawberry plots demonstrated that soil moisture often dropped below the 40% threshold, triggering timely irrigation alerts. The dashboard provided real-time data visualization and revealed peak electricity demand in the evening at the village hall. The results indicated that the system enhanced irrigation accuracy, provided a baseline for monitoring energy consumption, and increased community awareness of sustainable resource management. The project offers a replicable model for integrating smart agriculture and energy monitoring in rural areas.
Tren Penelitian dan Dampak Adanya Internet of Things terhadap Peningkatan Kualitas Pendidikan IPA dalam Upaya Melaksanakan Sustainable Development Goals (SDGs): Analisis Bibliometrik Diana Rochintaniawati; Aay Susilawati; Iwan Kustiawan; Lilik Hasanah; Deni Irawan; Aa Juhanda; Salsabilla Dwita Putri
Pedagogia: Jurnal Ilmiah Pendidikan Vol. 16 No. 2 (2024)
Publisher : FKIP UNIVERSITAS PAKUAN

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55215/pedagogia.v16i2.20

Abstract

Tujuan dari penelitian ini untuk mengetahui tren penelitian dan pengaruh Internet of Things (IoT) terhadap Tujuan Pembangunan Berkelanjutan (SDGs) untuk pendidikan bermutu, khususnya pada Pendidikan IPA. Metode penelitian yang digunakan adalah analisis bibliometrik dengan menggunakan Publish or Peris dan Vos viewer untuk mencari data dan memvisualisasikan hubungan antara kata kunci Internet of things, SDGs dan pendidikan IPA. Hasil yang diperoleh adalah penelitian tentang IoT dan SDGs untuk pendidikan IPA bermutu merupakan penelitian yang sedang tren dan dikaji oleh para ilmuwan. Hal ini dapat dilihat pada visualisasi jaringan dan penjelasan tahun dan negara yang menunjukkan bahwa ketiga kata kunci tersebut merupakan hal yang baru dan menjadi topik penelitian. Rekomendasi dari hasil penelitian ini adalah memberikan peluang dan informasi tentang dampak teknologi IoT terhadap tujuan hidup berkelanjutan, khususnya dalam peningkatan mutu pendidikan IPA atau ilmu pengetahuan lainnya, sehingga untuk kedepannya dapat dilakukan penelitian tentang implementasi teknologi IoT dalam pembelajaran IPA.
Co-Authors Aa Juhanda Aay Susilawati Ade Andri Hendriadi Ade Gafar Abdullah, Ade Gafar Agus Setiawan Al Azhima, Silmi Ath Thahirah Al Qibtiya, Mariya Al Qibtya, Mariya Alam, Sahirul Anggarda, Mohammad F Arjuni Budi Pantjawati Ath Thahirah Al Azhima, Silmi Ayo Sunaryo Bandiyah Sri Aprillia Budi, Agus Heri Setya Darmawan, Dwicky Deasy Rosanti Nurjannah Deni Irawan Diana Rochintaniawati Didin Wahyudin Didin Wahyudin Dwicky Darmawan Edhy Sri Yarmanto Eki Nugraha Emmanuel Obobi Tetehfio Emmanuel Obobi Tettehfio Erik Haritman Fauzan, Mochamad Rizal Hakim, Nurul F A Hasbullah Hasbullah Ida Kaniawati Imanudin, Rizkia Fahmi Noviansyah Isma Widiaty Johar Maknun, Johar Kaniarudi, Neneng Puspita Khairi, Saiqa Fatur Khan, Muhammad Lookman Hossain Kurnia Santi Lilik Hasanah Lilis Widaningsih Lubis, Fahmi Zulkifli Lukman Hakim, Dadang Maharbid, Allan Anugraha Maman Somantri Mandasari, R Deasy Mariya Al Qibtiya Mohamad Iqbal Rosyadi Mohamad Ramdhani Muhammad Adli Rizqulloh Muhammad Randi Alwi Nendi Suhendi Syafei Neris Peri Ardiansyah Noor, Tubagus Firman Iskandar Nurjanah, Deasy R Nurul Fahmi Arief Hakim Nuryani Rustaman Prince Yaw Andoh Quinera Joshua R. Ajeng Herty P Resa Pramudita Roer Eka Pawinanto, Roer Eka Ronald Adrian, Ronald Salsabilla Dwita Putri Shaymanov, Farxod Xushbakovich Silmi Ath Thahirah Al Azhima Siscka Elvyanti Siscka Elvyanti Siscka Elvyanti, Siscka Susilawati, Aay Wasimudin Surya Saputra Yadi Mulyadi Yarmanto, Edhy Sri Yoyo Somantri