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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) INTENSIF: Jurnal Ilmiah Penelitian dan Penerapan Teknologi Sistem Informasi 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) Blockchain Frontier Technology (BFRONT)
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 Law, Crime, Criminology & Criminal Justice Library & Information Science Mathematics Mechanical Engineering Neuroscience Social Sciences Transportation Other

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Implementation of the K-Nearest Neighbor Algorithm for Classifying Immigration Residence Permit Applicants at the Class I Special Immigration Office TPI Soekarno-Hatta Azizah, Nur; Henderi, Henderi; Raja, Berisno Hendro Pardamean Manik
CCIT (Creative Communication and Innovative Technology) Journal Vol 18 No 2 (2025): CCIT JOURNAL
Publisher : Universitas Raharja

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33050/ccit.v18i2.3577

Abstract

This study aims to apply the K-Nearest Neighbor (KNN) algorithm in classifying immigration residence permit applicants at the Class I Special Immigration Office TPI Soekarno-Hatta, focusing on the algorithm's effectiveness and accuracy in categorizing residence permit applicants based on the types of residence permits: Visit Stay Permit (ITK), Limited Stay Permit (ITAS), and Permanent Stay Permit (ITAP). This study employs a quantitative, experiment-based approach utilizing a dataset of 17,212 residence permit applicant records consisting of 11 key attributes, such as nationality, visa type, residence permit type, gender, and age group.The research process began with data preprocessing stages, including data cleaning, normalization, and dataset splitting into training and testing sets with 80:20 and 70:30 partitioning scenarios. The KNN algorithm was implemented using a parameter of k=5k = 5k=5, chosen based on experimentation to achieve optimal performance. The model's performance evaluation was conducted using accuracy, precision, and recall metrics derived from a confusion matrix. The findings reveal that the KNN algorithm successfully classifies data with the highest accuracy of 96.95% in the 80:20 dataset partition scenario and 96.84% in the 70:30 scenario. The Visit Stay Permit (ITK) class demonstrated the best performance with a precision of 97.46% and a recall of 99.97%, whereas the Permanent Stay Permit (ITAP) class showed the lowest performance with a recall of 59.79%, indicating challenges in recognizing patterns for this class. This study also identifies the advantages of the KNN algorithm, including its simplicity of implementation, flexibility in handling multiclass data, and effectiveness for low-dimensional datasets. However, the algorithm has limitations, such as sensitivity to imbalanced data distributions and high computational time for large datasets.
Comparative Study of Traditional and Modern Models in Time Series Forecasting for Inflation Prediction Henderi, Henderi; Sofiana, Sofa
International Journal for Applied Information Management Vol. 5 No. 3 (2025): Regular Issue: September 2025
Publisher : Bright Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47738/ijaim.v5i3.108

Abstract

Time series forecasting plays a crucial role in economic analysis, particularly in anticipating inflation and policy planning. This study compares the performance of seven different time series forecasting models, namely ARIMA, SARIMA, ETS, Prophet, LSTM, XGBoost, and TCN, in predicting inflation rates. Each model was applied to four years of inflation data to test its accuracy and reliability. The evaluation was conducted using Mean Squared Error (MSE) and Root Mean Squared Error (RMSE) to measure the performance of each model. The results indicate that deep learning models, particularly LSTM and TCN, achieved the highest accuracy with the lowest MSE and RMSE values, specifically 0.0008 and 0.0015 for LSTM, and 0.0007 and 0.0013 for TCN, indicating their capability in capturing complex temporal patterns. Traditional models such as ARIMA and SARIMA, while effective in capturing trends and seasonality, showed limitations in handling non-linear patterns and sudden changes, with MSE and RMSE values of 0.0012 and 0.0024 for ARIMA, and 0.0011 and 0.0023 for SARIMA, respectively. ETS, with the highest MSE and RMSE values of 0.0013 and 0.0025, demonstrated limitations in dealing with the complexity of inflation data. XGBoost also showed good performance with MSE and RMSE values of 0.0009 and 0.0018, combining flexibility and robustness in handling complex data. Prophet achieved an MSE of 0.0010 and RMSE of 0.0020, indicating that while it effectively captures seasonal trends, there is room for improvement in handling rapid inflation increases. This research provides in-depth insights into the strengths and weaknesses of each model, as well as recommendations for practical applications in inflation forecasting. By presenting a comprehensive comparative analysis, this study aims to assist researchers and practitioners in selecting the most suitable forecasting model for their specific needs
E - LEADERSHIP : KONSEP DAN PENGARUHNYA TERHADAP EFEKTIVITAS KEPEMIMPINAN Henderi, Henderi; Maimunah, Maimunah; Nur Aisyah, Euis Siti
CCIT (Creative Communication and Innovative Technology) Journal Vol 100 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.
E - LEADERSHIP : KONSEP DAN PENGARUHNYA TERHADAP EFEKTIVITAS KEPEMIMPINAN Henderi, Henderi; Maimunah, Maimunah; Nur Aisyah, Euis Siti
CCIT (Creative Communication and Innovative Technology) Journal Vol 102 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.
E - LEADERSHIP : KONSEP DAN PENGARUHNYA TERHADAP EFEKTIVITAS KEPEMIMPINAN Henderi, Henderi; Maimunah, Maimunah; Nur Aisyah, Euis Siti
CCIT (Creative Communication and Innovative Technology) Journal Vol 102 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.
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.
Co-Authors Abas Sunarya Achmad Badrianto Adi Setiawan Aditya Prihantara Agung Yudo Ardianto Ahmad Sidik Ainiyatul Maghfiroh Akmal Fauzan Al- Bahra Alda Galuh Fitria Dewi Aldi Destaryana 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 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 Dian Mustika Putri 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 Fazlul Rahman Fifit Alfiah Fitria Nursetianingsih Frama Yenti Giandari Maulani, Giandari Gugun Gunawan Gunawan, Deddy Gutama, Deden Hardan Haekal Simangunsong, Fikri Muhammad Hamdani Hamdani Hamdy Hady 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 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 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 Praditya Aliftiar Pramono, Galih Prih Diantono Abda`u Puspitasari, Novianti Putri, Cheetah Savana 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 Restu Adi Pradana 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 Risma Auliasari 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 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