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All Journal EXPERT: Jurnal Manajemen Sistem Informasi dan Teknologi CESS (Journal of Computer Engineering, System and Science) RABIT: Jurnal Teknologi dan Sistem Informasi Univrab JOURNAL OF INFORMATICS AND TELECOMMUNICATION ENGINEERING JIKO (Jurnal Informatika dan Komputer) Jurnal Penelitian Pendidikan IPA (JPPIPA) JURNAL TEKNIK INFORMATIKA DAN SISTEM INFORMASI INTECOMS: Journal of Information Technology and Computer Science Journals of Ners Community Journal of Information System, Applied, Management, Accounting and Research JSAI (Journal Scientific and Applied Informatics) Jurnal Ilmiah Betrik : Besemah Teknologi Informasi dan Komputer Prosiding National Conference for Community Service Project JISA (Jurnal Informatika dan Sains) INFOKUM Jurnal Teknologi Informasi dan Komunikasi Journal of Applied Data Sciences Journal of Information System and Technology (JOINT) COMSERVA: Jurnal Penelitian dan Pengabdian Masyarakat Conference on Management, Business, Innovation, Education and Social Sciences (CoMBInES) Conference on Community Engagement Project (Concept) Conference on Business, Social Sciences and Technology (CoNeScINTech) Madani: Jurnal Pengabdian Masyarakat dan Kewirausahaan Jurnal Ilmiah Betrik : Besemah Teknologi Informasi dan Komputer Edu Komputika Journal Komputasi : Jurnal Ilmiah Ilmu Komputer dan Matematika
Sama, Hendi
Fakultas Ilmu Komputer, Universitas Internasional Batam, Indonesia
Aerospace Engineering Agriculture, Biological Sciences & Forestry Arts Humanities Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry 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 Materials Science & Nanotechnology Mathematics Mechanical Engineering Nursing Physics Social Sciences Other

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Pembuatan Video Gerakan Sekolah Adiwiyata Smps Charitas Batam Dzaki Muhammad; Syaeful Anas Aklani; Hendi Sama
National Conference for Community Service Project (NaCosPro) Vol. 7 No. 01 (2025): The 7th National Conference for Community Service Project 2025
Publisher : Lembaga Penelitian dan Pengabdian Kepada Masyarakat Universitas Internasional Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37253/nacospro.v7i01.10968

Abstract

Tujuan dari kerja praktek ini adalah untuk membuat konten visual, yaitu video dokumentasi Program Adiwiyata di SMPS Charitas Batam. Video ini akan digunakan sebagai cara untuk mempromosikan dan mengajar melalui media sosial, terutama Instagram. Program Adiwiyata adalah upaya sekolah untuk mengajarkan siswa tentang kepedulian lingkungan melalui kegiatan nyata seperti menanam pohon, menjaga lingkungan, dan mengelola sampah. Metode Life Cycle of Multimedia Development (MDLC) terdiri dari enam tahap: konsep, perancangan, pengumpulan bahan, pengembangan, pengujian, dan distribusi. Ini adalah alur kerja proses produksi video. Observasi lapangan, wawancara, dan dokumentasi visual dikumpulkan selama pelaksanaan sesuai dengan prinsip Adiwiyata. Hasil akhir adalah video pendek yang menampilkan upaya siswa untuk mempertahankan lingkungan sekolah. Video yang diposting di akun Instagram sekolah mendapat tanggapan positif dari siswa, guru, dan orang tua. Kegiatan ini tidak hanya memberikan bantuan nyata kepada sekolah, tetapi juga menjadi pengalaman praktis yang signifikan bagi siswa untuk membuat konten digital yang berbasis nilai sosial dan edukasi. Ada beberapa saran untuk pengembangan lebih lanjut, seperti memberikan instruksi kepada guru dan siswa tentang cara membuat konten digital, dan mendistribusikan konten ke lebih banyak platform media sosial.
Perancangan dan Implementasi Website Company Profile di PT. Sinar Clarindo Mandiri Hendi Sama; Inov Santoso; Suwarno Suwarno
National Conference for Community Service Project (NaCosPro) Vol. 7 No. 01 (2025): The 7th National Conference for Community Service Project 2025
Publisher : Lembaga Penelitian dan Pengabdian Kepada Masyarakat Universitas Internasional Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37253/nacospro.v7i01.10994

Abstract

Perkembangan teknologi informasi telah mendorong perusahaan untuk melakukan digitalisasi profil melalui website guna meningkatkan visibilitas dan kredibilitas di era digital. Artikel ini membahas proses perancangan dan implementasi website company profile di PT. Sinar Clarindo Mandiri, sebuah perusahaan penyedia suku cadang kapal. Kegiatan ini melibatkan mahasiswa magang dari Program Studi Sistem Informasi Universitas Internasional Batam yang menerapkan metode SCRUM dalam pengembangan website. Hasil kegiatan menunjukkan bahwa website yang dikembangkan mampu memenuhi kebutuhan perusahaan dalam menyajikan informasi profil, layanan, portofolio, dan kontak secara profesional dan responsif. Selain itu, kegiatan ini memberikan pengalaman praktis bagi mahasiswa serta memperkuat kemitraan antara perguruan tinggi dan dunia industri. Saran yang diberikan meliputi pengembangan fitur lanjutan, pemeliharaan berkala, pelatihan pengelolaan website, dan optimalisasi promosi digital.
The Effectiveness of Smart Traffic Management system in Indonesia: Systematic Literature Review Hendi Sama; Andik Yulianto; Kevin Lius
CESS (Journal of Computer Engineering, System and Science) Vol. 11 No. 1 (2026): Januari 2026
Publisher : Universitas Negeri Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24114/cess.v11i1.71654

Abstract

Traffic congestion in Indonesia causes significant economic losses and impacts the quality of life of the community. The Smart Traffic Management System (STMS) emerges as a technology-based solution that integrates the Internet of Things (IoT), Artificial Intelligence (AI), and big data to manage vehicle flow adaptively. This research employs the Systematic Literature Review (SLR) method with the PRISMA approach to analyze the effectiveness of STMS in reducing congestion and carbon emissions, both in Indonesia and in other countries. The reviewed articles indicate that STMS can reduce vehicle travel time by 8-15%, improve traffic flow smoothness by up to 50%, and decrease carbon emissions by 30-40% per year. Trials in Jakarta demonstrate a 15% increase in traffic smoothness and a reduction in travel time during peak hours. These findings confirm that the implementation of STMS has tremendous potential to realize a more efficient, safe, environmentally friendly, and sustainable urban transportation system.
Sentiment Analysis of Instagram Reviews: Exploring Neutral Sentiments using Support Vector Machines Hendi Sama; Inov Santoso; Suwarno Suwarno
JURNAL INFORMATIKA DAN KOMPUTER Vol 10, No 1 (2026): February 2026
Publisher : Lembaga Penelitian dan Pengabdian Masyarakat - Universitas Teknologi Digital Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26798/jiko.v10i1.2515

Abstract

The rapid growth of mobile applications necessitates a better understanding of user feedback via app store reviews. This study analyzes 1,000 Indonesian-language Google Play Store reviews of the Instagram application using the Support Vector Machine (SVM) algorithm to classify sentiments into positive, negative, and neutral categories. The primary objectives are to evaluate the effectiveness of SVM and investigate the impact of neutral sentiments on model performance. The methodology involved preprocessing steps such as text cleaning, slang normalization, stop-word removal, and stemming with Sastrawi, followed by TF-IDF feature extraction. A LinearSVC model was optimized using GridSearchCV and five-fold cross-validation. The model achieved 64.5% accuracy and a Macro-F1 score of 0.4701, outperforming Multinomial Naïve Bayes and Logistic Regression baselines. Further analysis revealed that neutral sentiments significantly affect performance; removing this class increased Macro-F1 to 0.6965. Additionally, probability thresholding and class-weight balancing improved neutral-class recognition, raising its F1-score from 0.1429 to 0.1778. These findings indicate that while SVM is effective for Indonesian app-review sentiment analysis, neutral sentiment remains a classification challenge requiring specific handling strategies.
Co-Authors Abizar Muhammad Lubis Agnes Fitrian Aguslina Aguslina Aisyah Nurkayla Anderson Arvando Andhika Bayu Andi Chandera Andy Kho Angeline Angeline Angeline Anisa Susmita Apis Indica Adam Arif Budiman Ayu Fauzia Rahmah Bong Ci Liong Brain Gantoro Christian, Yefta Cindy Claudia Erica Dannis Wongso Darvin Darvin David David Davina Davina Davina Deli Deli Delvin Jason Djayadhinata Djayadhinata Dzaki Muhammad Edi Santoso Edi Yulianto Putra Elita Elita Endy Endy Eric Eric Eric Hartanto Erica Titoni Eryc Eryc Febby Febby Felix Agusta Putra Ficky Antonio Firmansyah, Muhamad Dody Gary Phua Hansen Jonatan Hartono Hartono Hendry Wijaya Henly Henly Herman Herman Herman Hery Yohan Indah Lilian Sari Br Ambarita Indasari Deu Inov Santoso Iskandar Itan, Iskandar Jason Hirawan Jecky Fransisco Jed Wan Jed Wan WAN Jenry Winata Jesica Jesica Jesica Jevon Junanto Jevon Junanto Jodi Saputra Dermawan Saragi Julianto Julianto Julianto Julyanto Jumiliono Pratama Jurnali, Teddy Kelvin Kelvin Kenny Wilson Kevin Kevin Kevin Lius Kezia Yohana Zai Leonardo Anthony Licen Licen Luky Andito M Agung Pratama Maria Ulfa Meiliverani Erline Melissa Melissa Melvy Devalia Muhammad Ilham Muhammad Rivaldy Hisham Mujiyati Irsad Mungkap Mangapul Siahaan Nancy Vanessa Nasyah Amanda Nelson Nelson Nelson Nelson Tan Nindi Suci Rahmadani Novendry Petrus Nur Alficha Prasetyo, Stefanus Eko Putra, Edy Yulianto Putri Melati Putri Salsabella Putri Utami Putri Utami Rahel Rahel Randy Heskyel Gumolung Ricky Kurniadi Rina Anggraini Rizky Wardhana Saffian Saffian Sellinna Octaviani Sihombing, Dame Afrina Silfia Nadilla Stephanie Stephanie Surya Chandra Suwarno Liang Syaeful Anas Aklani, Syaeful Tjahyadi, Surya Tofent Tofent Tuanku Stefino Tukino Tukino tukino, tukino Vina Liesty Indriani Vincent Linardo Wesley Zhang Wesley Zhang Wibowo, Tony Winson Napoleon Yudi Hartanto Yulianti Yulianti Yulianto, Andik Yully Yully Zulkarnain Zulkarnain