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All Journal IAES International Journal of Artificial Intelligence (IJ-AI) Seminar Nasional Aplikasi Teknologi Informasi (SNATI) Semantik PIKSEL : Penelitian Ilmu Komputer Sistem Embedded and Logic CommIT (Communication & Information Technology) Seminar Nasional Informatika (SEMNASIF) Register: Jurnal Ilmiah Teknologi Sistem Informasi Creative Information Technology Journal SISFOTENIKA Bianglala Informatika : Jurnal Komputer dan Informatika Akademi Bina Sarana Informatika Yogyakarta Indonesian Journal on Software Engineering (IJSE) Bina Insani ICT Journal Informatics for Educators and Professional : Journal of Informatics Jurnal Komputer Terapan JTERA (Jurnal Teknologi Rekayasa) Jurnal Ilmiah Matrik Conference SENATIK STT Adisutjipto Yogyakarta ILKOM Jurnal Ilmiah Jurnal Nasional Komputasi dan Teknologi Informasi Jurnal Penelitian dan Pengabdian Kepada Masyarakat UNSIQ Jurnal Informasi dan Komputer Aptisi Transactions on Management Aptisi Transactions on Technopreneurship (ATT) Informasi Interaktif CCIT (Creative Communication and Innovative Technology) Journal Building of Informatics, Technology and Science Progresif: Jurnal Ilmiah Komputer SENSITEK E-JURNAL JUSITI : Jurnal Sistem Informasi dan Teknologi Informasi Indonesian Journal of Business Intelligence (IJUBI) Journal of Robotics and Control (JRC) JATI (Jurnal Mahasiswa Teknik Informatika) Respati ICIT (Innovative Creative and Information Technology) Journal Journal Sensi: Strategic of Education in Information System CICES (Cyberpreneurship Innovative and Creative Exact and Social Science) Journal Cerita: Creative Education of Research in Information Technology and Artificial Informatics IJIIS: International Journal of Informatics and Information Systems Jurnal Informa: Jurnal Penelitian dan Pengabdian Masyarakat Jurnal Kajian Ilmiah JINAV: Journal of Information and Visualization Journal of Applied Data Sciences International Journal for Applied Information Management Jurnal Ekonomi dan Teknik Informatika Jurnal Ilmiah IT CIDA : Diseminasi Teknologi Informasi Jurnal Dinamika Informatika (JDI) Duta.com : Jurnal Ilmiah Teknologi Informasi dan Komunikasi Universal Raharja Community (URNITY Journal) IJOEM: Indonesian Journal of Elearning and Multimedia Blockchain Frontier Technology (BFRONT) Journal of Digital Market and Digital Currency
Henderi .
Raharja University
Aerospace Engineering Humanities Automotive Engineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Mathematics Mechanical Engineering Neuroscience Social Sciences Transportation Other

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E - LEADERSHIP : KONSEP DAN PENGARUHNYA TERHADAP EFEKTIVITAS KEPEMIMPINAN Henderi, Henderi; Maimunah, Maimunah; Nur Aisyah, Euis Siti
CCIT (Creative Communication and Innovative Technology) Journal Vol 103 No 2 (2008): CCIT JOURNAL
Publisher : Universitas Raharja

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

Abstract

Berbagai vendor software dan hardware telah mengeluarkan beberapa produk yang mendukung penerapan teknologi informasi untuk kepentingan para manajer organisasi. Namun pemanfaatan produk tersebut oleh para manajer belum optimal. Hal ini disebabkan para manajer belum memahami konsep penerapan dan cara kerja teknologi informasi untuk mendukung pelaksanaan fungsi-fungsi kepemimpinan yang disebut e-leadership. Sementara itu pemanfaatan teknologi informasi diberbagai organisasi dan perusahaan, dan penerapan konsep dan cara kerja e-leadership oleh para manajernya merupakan suatu keharusan. Organisasi yang dipimpin oleh manajer yang tidak berminat dan tidak menguasai penerapkan konsep dan cara kerja e-leadership senantiasa akan sulit bertahan diera persaingan yang semakin kompetitif. Untuk itu diperlukan penjabaran tentang konsep dan penerapan cara kerja e-leadership dan pengaruhnya terhadap efektivitas pelaksanaan fungsi manajer sebagai pemimpin, diantaranya dalam melakukan fungsi: perencanaan, pengelolaan, pendelegasian, motivasi, pengontrolan, dan evaluasi.
A Machine Learning Approach to Indonesian Climate Change Sentiment Analysis Using Naive Bayes Henderi, Henderi; Sofiana, Sofa
International Journal of Informatics and Information Systems Vol 8, No 1: January 2025
Publisher : International Journal of Informatics and Information Systems

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47738/ijiis.v8i1.246

Abstract

Climate change poses a significant global challenge, particularly for archipelagic nations such as Indonesia that are highly vulnerable to rising temperatures and extreme weather events. This study applies machine learning-based sentiment analysis to assess Indonesian public opinion on climate change using Twitter data. A total of 5,120 Indonesian-language tweets were collected through keyword-based scraping related to climate and weather conditions. Following text preprocessing (lowercasing, stopword removal, stemming, and cleaning), TF-IDF vectorization was used to extract the top 400 most significant terms. The dataset was divided into training (80%) and testing (20%) subsets, and a Multinomial Naïve Bayes classifier was trained to categorize sentiments into positive, neutral, and negative classes. The results show a dominance of negative sentiment (62%), primarily associated with extreme heat and storm-related events, while neutral (24%) and positive (14%) sentiments were linked to moderate weather conditions. Model evaluation achieved an F1-score of 0.95 for negative, 0.86 for neutral, and 0.83 for positive sentiment, yielding a macro-average F1-score of 0.88. The analysis also identified “panas (hot),” “hujan (rain),” and “banjir (flood)” as top lexical indicators influencing classification. Overall, the findings highlight that Indonesian public sentiment toward climate change is highly reactive to extreme weather. The study underscores the potential of Naïve Bayes as a baseline model for real-time environmental sentiment monitoring, offering valuable insights for institutions such as BMKG to enhance public communication and climate awareness strategies.
Advanced Anomaly Detection in ECG Signals Through Convolutional Autoencoders Henderi, Henderi; Misinem, Misinem; Hamdani, Hamdani; Zakaria, Mohd Zaki; Kasim, Shahreen Binti
IJOEM Indonesian Journal of E-learning and Multimedia Vol. 3 No. 3 (2024): Indonesian Journal of E-learning and Multimedia (October 2024)
Publisher : CV. Media Inti Teknologi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58723/ijoem.v3i3.308

Abstract

This article aims to present a comprehensive study on convolutional autoencoders for advanced anomaly detection in ECG signals. Anomaly detection in complex datasets has become increasingly critical due to the rising need for systems that can effectively identify irregularities that may indicate fraud, system failures, or significant deviations from normal operations. Traditional methods often need help capturing nuanced patterns in high-dimensional data, necessitating more sophisticated approaches. This research uses an autoencoder-based model as a robust solution for anomaly detection, utilizing its capability to learn high-level representations in an unsupervised manner. The proposed model uses a convolutional autoencoder architecture to compress and decompress input data, thus highlighting anomalies through reconstruction errors. We outline detailed experiment strategies, including model training on average data to minimize reconstruction loss, setting an optimal threshold for anomaly sensitivity based on validation loss, and evaluating the model using precision, recall, F1-score, and AUC-ROC metrics. These experiments were conducted using a dataset with labeled normal and abnormal instances, allowing precise tuning and assessment of model performance. The results indicate that the autoencoder discriminates between normal and abnormal data, achieving high precision and recall at 99.22% and 98.98%, respectively. The confusion matrix and loss distribution analysis further validate the model's efficacy, clearly distinguishing between normal and abnormal data loss values concerning the defined threshold. This research shows the autoencoder model demonstrates high accuracy in anomaly detection and offers insights into the types of anomalies it can detect, supporting its application across various domains requiring reliable anomaly identification.
The Application of Science Concepts in Management Research Reports Based on Scientific Truth Hady, Hamdy; Henderi, Henderi; Putri, Dian Mustika
APTISI Transactions on Management (ATM) Vol 2 No 1 (2018): ATM (APTISI Transactions on Management)
Publisher : Pandawan

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (232.29 KB) | DOI: 10.33050/atm.v2i1.791

Abstract

The management activity of research report writing requires sufficient knowledge in its preparation. A researcher must learn about the management of understanding scientific concepts, as well as management of research reports that are based on scientific truth. In this study, 1 (one) method was used, namely a literature study of 10 (ten) to support the understanding of scientific concepts according to experts. The concept is a general idea that represents perceived understanding on the basis of reason and logic by someone who then forms a meaning deductively or inductively. Whereas knowledge is what is known or the results of work know. Then scientific truth is related to the quality of knowledge, where every knowledge possessed is viewed from the type of knowledge that is built. Thus scientific truth is an important point in scientific reporting, as the basic foundation of accurate management of report writing and must be displayed in every corner of the report. It is hoped that this research can assist researchers in compiling research reports. Keywords: Management, Science, Scientific Truth, Research Reports.
Periodic Data Analysis and Forecasting As An Overview of Future Management Economics Henderi, Henderi; Zuliana, Siti Ria; Pradana, Restu Adi
APTISI Transactions on Management (ATM) Vol 3 No 1 (2019): ATM (APTISI Transactions on Management)
Publisher : Pandawan

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (648.593 KB) | DOI: 10.33050/atm.v3i1.846

Abstract

In economics management is needed periodic data (time series) from production effort in predicting continuation of a situation is action which at one time must be done. For economic or political experts, it seems to be an obligation that must be carried out when they find a situation say just the economic crisis that befell a country with great, to provide predictive reviews about how the impact will be on the continuation of the existence of that country. So from that the aim of this research is to discuss about conceptual and conceptual aspects about periodic data, calculation of straight line trends through free method, half moving average, half average and least number of squares, non linear trend calculation which is trend parabola and exponential trends, calculations for changing trend equations into quarterly and monthly trends, calculations for changing trend equations into average trends, calculating seasonal variation values ​​through simple average methods, ratio to trend, ratio of moving averages and relative berangkai, and calculation of cyclic variation values ​​for annual and quarterly data. The method used during this study took place, namely using a literature study method which functions so that in research, researchers continue to add insight.
Segmentation and Profiling of Electric Vehicle Market Using Clustering Analysis: A Case Study with Implications for Digital Marketing in the EV Sector Henderi, Henderi; Zailani, Achmad Udin; Tuah, Nooralisa Mohd; Abas, Ashardi bin
Journal of Digital Market and Digital Currency Vol. 2 No. 3 (2025): Regular Issue September 2025
Publisher : Bright Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47738/jdmdc.v2i3.39

Abstract

The electric vehicle (EV) market has experienced unprecedented growth in recent years, largely fueled by technological advancements, increasing environmental concerns, and supportive government policies. However, this growth presents a challenge: effectively reaching and engaging diverse consumer segments within the EV market. To address this, our study employs advanced clustering analysis to segment the EV market using a comprehensive dataset from Washington state, which includes vehicle characteristics such as model year, electric range, and geographic distribution. Through this analysis, we identified four distinct clusters within the EV market. Clusters 2 and 3 are characterized by high-end, newer EV models with extended electric ranges, predominantly located in affluent urban and suburban areas. These clusters are likely composed of environmentally conscious consumers who are early adopters of advanced technologies. In contrast, Clusters 0 and 1 consist of older EV models with shorter electric ranges, appealing to a more budget-conscious demographic spread across various geographic regions, including rural areas. The insights gained from these clusters have significant implications for digital marketing strategies in the EV sector. For Clusters 2 and 3, digital marketing campaigns should focus on highlighting the luxury, cutting-edge technology, and sustainability features of premium EV models, using targeted online advertising and social media engagement. For Clusters 0 and 1, marketing efforts should emphasize the practicality, cost-effectiveness, and everyday usability of EVs, addressing potential concerns such as charging infrastructure and range anxiety. The study demonstrates the critical importance of market segmentation in crafting effective digital marketing strategies that resonate with specific consumer groups. By leveraging data-driven insights, marketers can enhance engagement, drive higher conversion rates, and ultimately accelerate the adoption of electric vehicles. Future research should explore broader datasets and additional variables to further refine these segmentation strategies and support the evolving needs of the global EV market.
Prototype Sistem Penjualan Berbasis Web pada KWT (Kelompok Wanita Tani) Gemas Implan Henderi, Henderi; Alfiah, Fifit; Auliasari, Siti Risma; Fitria Dewi, Alda Galuh; Fauzan, Akmal
Universal Raharja Community (URNITY Journal) Vol. 4 No. 2 (2024): URNITY (Universal Raharja Community)
Publisher : UNIVERSITAS RAHARJA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33050/urnity.v4i2.2858

Abstract

Kelompok Wanita Tani (KWT) Gemar Menanam Sayuran inovasi Menanam Padi dan Budidaya Ikan (GEMAS IMPLAN). Kwt Gemas Implan adalah sekelompok ibu-ibu yang sukses membantu masyarakat menjaga ketersediaan pangan mereka, ibu-ibu ini merupakan penduduk rt 04 rw 06 kelurahan Gandasari kecamatan Jatiwung kota Tangerang. Kwt ini berinovasi dengan menanam berbagai jenis makanan laut yang dapat dikonsumsi. Hasil panen kemudian dijual dengan harga rendah. Sistem pencatatan laporan di Kwt Gemas Implan yang sedang berjalan saat ini masih tidak efisien. Untuk persediaan stok sayur dan data penjualan masih menggunakan kertas yang ditulis dan dikumpulkan di sebuah buku, untuk media promosi yang kurang menarik perhatian pelanggan, Tujuan dari penelitian ini adalah mengembangkan sebuah sistem penjualan yang baru pada Kwt Gemas Implan yaitu aplikasi berbasis web dengan menggunakan metode prototyping dengan adanya sistem ini penulis berharap agar dapat membantu memecahkan masalah diatas. Kata kunci: KWT, Kelurahan Gandasari, Web.
Co-Authors Abas Sunarya Abas, Ashardi bin Achmad Badrianto Achmad Udin Zailani Adi Setiawan Aditya Prihantara Agung Yudo Ardianto Ahmad Sidik Ainiyatul Maghfiroh Al- Bahra Aldi Destaryana Alfiah, Fifit Ali Djamhuri Alwan Hibatullah Andang Wijanarko Andrian Saputra Andrie Prajanueri Kristianto Anggrahini, Yunia Riska Anindita Septiarini, Anindita Ar Ridho Gusti Ari Ari Suhartanto Ari Suhartanto Arie Afriyoga Arief Setyanto Arif, Achmad Yusron Arifin, Rita Wahyu Aris Martono Ary Budi Warsito Asep Saefullah Asro, Asro Auliasari, Siti Risma B. Herawan Hayadi Badrianto, Achmad Bambang Soedijono W.A Bambang Soedijono, Bambang Bambang Soedjiono W.A Bangun Mukti Prasetyo Bin Ladjamudin, Al Bahra Bramantyo Yudi Wardhana Budiarto, Mukti Destyanto, Febrian Devi Rositawati Dewi, Deshinta Arrova Didi Rahmat Didik Setiyadi Dwinda Etika Profesi Efana Rahwanto Efana Rahwanto Ema Utami Euis Nurninawati Euis Siti Nur Aisyah Fahmie Al Khudhorie Fata Nidaul Khasanah FAUZAN, AKMAL Fazlul Rahman Fitria Dewi, Alda Galuh Fitria Nursetianingsih Frama Yenti Giandari Maulani, Giandari Gugun Gunawan Gunawan, Deddy Gutama, Deden Hardan Hady, Hamdy Haekal Simangunsong, Fikri Muhammad Hamdani Hamdani Hamdani Hamdani Hari Agustiyo Hatta, Heliza Rahmania Husein Muhammad Fahrezy Husni Teja Sukmana I Ketut Gunawan Ignatius Agus Supriyono Ilham Hizbuloh Ina Sholihah Widiati, Ina Sholihah Indri Handayani Indri Handayani Ira Tyas Ningrum Irwan Sembiring Ismail, Abdul Azim Bin Iwan Setyawan Jahiri, Muhamad Jahri, Muhamad Jamaludin, Dieng Asep Julia Kurniasih Junaidi Junaidi Junaidi Junaidi Kartawinata, Dea Karunia Suci Lestari Kasim, Shahreen Binti Khairunnisak Nur Isnaini Khurotul Aeni, Khurotul Kurniawan, Tri Basuki Kusrini - Kusrini . Kusrini Kusrini Kusrini Kusrini Kusrini Kusrini Kusrini Kusrini Ladjamudin, Al-Bahra bin Ladjamudin, AlBahra Bin M Rizeki Yuda Saputra M Said Hasibuan M. Rizeki Yuda Saputra M. Suyanto, M. Maimunah Maimunah Maimunah, Maimunah Mashal Alqudah Maulidina, Muhammad Muflih Meta Amalia Dewi Misinem, Misinem Moenawar Kholil Moh Muhtarom Mohammad Hairidzulhi Mohammad Santosa Mulyo Diningrat Muhamad Hendri Muhamad Yusuf Muhamad Yusup Mujianto, Ahmad Heru Mulyana, Muhamad Mulyati Mulyati Mulyati Mulyati Muntasir, Ibnu Nathan, Yogeswaran Neno, Friden Elefri Nia Kusniawati Novi Cholisoh Nugraha, Rizal Fitrah Nur Aisyah, Euis Siti Nur Azizah Padeli Padeli Periasamy, Jeyarani Pipin Romansyah Po Abas Sunarya Prabowo Pudjo Widodo Pradana, Restu Adi Praditya Aliftiar Pramono, Galih Prih Diantono Abda`u Puspitasari, Novianti Putri, Cheetah Savana Putri, Dian Mustika Qory Oktisa Aulia Rafika, Ageng Setiani Rahma Farah Ningrum Rahmat, Didi Rahwanto, Efana Raja, Berisno Hendro Pardamean Manik Randy Andrian Rani Putri Merliasari Rano Kurniawan Riki Mardiana Rita Wahyuni Arifin Ruli Supriati, Ruli Safar Dwi Kurniawan Saputra, M Rizeki Yuda Saputra, M. Rizeki Yuda Setianto, Yuni Ambar Shofiyul millah Singh, Harprith Kaur Rajinder Siti Khodijah Siti Ria Zuliana, Siti Ria Sofiana, Sofa Sri Rahayu Sudaryono Sudaryono Sudaryono Sudaryono Sugeng Santoso Suharto - Sulaiman, Agus Sutami, Sutami Suyatno Suyatno Swastika, Rulin Syahrial Shaddiq Taufik Hidayat Theopillus J. H. Wellem Toga Parlindungan Silaen Tri Wahyuningsih Tri Wahyuningsih Tri Wahyuningsih Tuah, Nooralisa Mohd Tubagus Ahmad Harja Kusuma Umdatur Rosyidah Uning Lestari Untung Rahardja Viola Tashya Devana W, Bambang Soedijono Winarno Winarno Winarno Winarno Wing Wahyu Winarno Yeni Nuraeni Yulika Ayu Rantama Yuni Ambar S Yunia Riska Anggrahini Yusuf, Inayatul Izzati Diana Zakaria, Mohd Zaki Zcull, Harph