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All Journal Prosiding Seminar Nasional Sains Dan Teknologi Fakultas Teknik Jurnal Teknologi IKRA-ITH Informatika : Jurnal Komputer dan Informatika INTECOMS: Journal of Information Technology and Computer Science INTEK: Informatika dan Teknologi Informasi JURNAL KAJIAN TEKNIK MESIN JURNAL TEKNOLOGI INFORMASI Jurnal Pelayanan dan Pengabdian Masyarakat (Pamas) INFORMASI (Jurnal Informatika dan Sistem Informasi) Jurnal Sistem Komputer dan Informatika (JSON) Indonesian Journal of Computing, Engineering, and Design International Journal of Computer and Information System (IJCIS) Journal of Community Services: Sustainability and Empowerment Jurnal Teknologi
Wandy Wandy
Universitas Sampoerna
Aerospace Engineering Arts Automotive Engineering Chemical Engineering, Chemistry & Bioengineering 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 Mechanical Engineering Social Sciences Other

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Implementasi Data Mining Kesehatan Mental Menggunakan Asosiasi Dan Klasterisasi Andry, Johanes Fernandes; Wandy, Wandy; Lee, Francka Sakti; Honni, Honni; Yusup, Christian Ronaldo
INTECOMS: Journal of Information Technology and Computer Science Vol 8 No 1 (2025): INTECOMS: Journal of Information Technology and Computer Science
Publisher : Institut Penelitian Matematika, Komputer, Keperawatan, Pendidikan dan Ekonomi (IPM2KPE)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31539/intecoms.v8i1.13586

Abstract

Penelitian ini menganalisis dataset hasil data mining dari kaggle.com, dengan tujuan untuk mengidentifikasi pola klaster dan hubungan asosiasi yang berkaitan dengan gangguan kesehatan mental. Dalam proses klasterisasi, nilai optimal untuk jumlah klaster ditemukan pada k = 3 dengan nilai Davies-Bouldin Index (DBI) sebesar 0,470, yang menunjukkan pembagian klaster yang jelas dan terpisah. Sementara itu, dalam analisis asosiasi menggunakan model FP-Growth, ditemukan 20 premis yang menggambarkan hubungan yang berbeda-beda, dengan usia (Age) sebagai faktor yang sering muncul dan berperan signifikan dalam mempengaruhi gangguan kesehatan mental. Berdasarkan metrik evaluasi seperti support, confidence, lift, dan conviction, beberapa nilai yang sering muncul adalah support tertinggi pada 0.742, confidence pada 0.821, dan lift pada 1.064. Selain itu, nilai Laplace dan p-s juga menunjukkan kontribusi penting pada temuan ini. Secara keseluruhan, hasil analisis asosiasi mengindikasikan bahwa usia memiliki pengaruh yang cukup besar terhadap gangguan kesehatan mental, dengan berbagai metrik menunjukkan konsistensi dalam hubungan tersebut. Temuan ini dapat menjadi dasar untuk penelitian lebih lanjut dalam memahami faktor-faktor yang mempengaruhi kesehatan mental berdasarkan karakteristik individu. Kata Kunci: Data Mining, Kesehatan Mental, Asosiasi, Klasterisasi
Integrating Instagram Analytics into Information Systems: Enhancing Pastry Sales Through Seasonal and Non-Festive Engagement Insights Weandri, Aliffa Ratumahesa; Wandy, Wandy; Saptaji, Kushendarsyah
International Journal of Computer and Information System (IJCIS) Vol 6, No 2 (2025): IJCIS : Vol 6 - Issue 2 - 2025
Publisher : Institut Teknologi Bisnis AAS Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29040/ijcis.v6i2.228

Abstract

This study investigated the integration of Instagram analytics into the information systems used by MSMEs in the pastry industry, with a focus on engagement trends. Using a descriptive quantitative approach, the research identifies a benchmark engagement rate of 16.5%, calculated from the midpoint between peak festive engagement and regular-day averages. Findings show a sharp increase in engagement leading up to Eid, exceeding the benchmark, followed by a noticeable decline post-event. In contrast, regular day engagement remains consistently below the benchmark. These patterns highlight the impact of cultural events on consumer behavior and the difficulty of sustaining interest afterward. The study concludes that integrating social media data into enterprise systems enables MSMEs to optimize marketing strategies and time promotions more effectively and respond better to seasonal trends, offering a practical model for data-driven decision-making in small businesses.
Analisis Musik Terhadap Kesehatan Mental Menggunakan Teknik Classification Andry, Johanes Fernandes; Wandy, Wandy; Lee, Francka Sakti; Honni
INFORMASI (Jurnal Informatika dan Sistem Informasi) Vol 17 No 1 (2025): INFORMASI (Jurnal Informatika dan Sistem Informasi)
Publisher : LPPM STMIK Indonesia Mandiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37424/informasi.v17i1.334

Abstract

Musik memiliki kekuatan dan mendapat tempat di tengah pemikiran masyarakat dalam banyak hal. Ini memiliki efek kehidupan pada setiap makhluk, mulai dari manusia hingga tumbuhan, bunga, burung, hewan dan lain-lain. Musik memiliki peran yang sangat penting dalam mendukung kesehatan mental karena dapat memengaruhi suasana hati, emosi, dan kondisi psikologis seseorang. alasan mengapa musik relevan dalam konteks kesehatan mental yaitu sebagai media ekspresi emosi, mengurangi stres dan Kecemasan. Dalam konteks analisis musik terhadap kesehatan mental, teknik classification dapat digunakan untuk mengelompokkan jenis musik berdasarkan efek psikologisnya pada individu. Penelitian ini bertujuan untuk memahami hubungan antara musik dan dampaknya terhadap kesehatan mental, serta mengembangkan metode berbasis teknik classification untuk mengidentifikasi jenis musik yang dapat memberikan manfaat psikologis tertentu. Untuk mempelajari kecenderungan genre musik yang sering didengarkan dan efeknya terhadap kesehatan mental seseorang bersumber big data dari kaggle.com mengenai Musik dan Mental Health Survey Results yang akan di olah menggunakan aplikasi RapidMiner dengan teknik Klasifikasi yang merupakan bagian dari data mining. Hasil penelitian dengan metode klasifikasi menunjukkan menunjukkan keandalan dalam merekomendasikan musik yang sesuai dengan kebutuhan emosional pengguna. Implikasinya adalah meningkatkan pemahaman masyarakat tentang peran musik dalam mendukung kesehatan mental, sehingga musik dapat dimanfaatkan sebagai alat non-farmakologis dalam kehidupan sehari-hari.
Introducing Artificial Intelligence Utilization in Learning to High School Teachers Djajasoepena, Rafie; Syamsuri, Ady; Nurfais, Ahmad; Bahagia, Katherine Luckman; Kusuma, Felicia; Dewa, Gilang Raka Rayuda; Purnomo, Ariana Tulus; Bhakti, Muhammad Agni Catur; Wandy, Wandy; Triawan, Farid; Githa, Arum; Lestari, Tika Endah; Setiawan, Iwan
Journal of Community Services: Sustainability and Empowerment Vol. 5 No. 01 (2025): March 2025
Publisher : Center for Research and Community Service of Sampoerna University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35806/jcsse.v5i1.515

Abstract

The development of artificial intelligence (AI) has significantly impacted various sectors, including education. However, based on observation, no AI tool-integrated course has been utilized by teachers at SMA 6 Cirebon. Moreover, based on the pretest assignment, the average understanding of teachers in SMAN 6 Cirebon regarding AI technology was only 55.48%, indicating challenges in implementing AI tools due to a lack of knowledge and practical guidance. To address this issue, a community service activity was held to empower teachers with applicable AI knowledge and skills through a seminar titled "How AI Learns Like a Brain: Implementasi AI dalam Pembelajaran". A qualitative approach was employed, beginning with seminar preparation, AI literature review, and interactive team discussions. Pre- and post-tests showed an increase in understanding of AI technology, with the mean score rising from 55.48% to 67.22% and the median score increasing from 60% to 80%. Finally, this community service recommends ongoing training, the development of AI-integrated lesson plans, hands-on workshops, and collaboration with educational authorities to support the further implementation of AI in teaching.
Internet Data Consumption During Synchronous Teaching-from-Home Period at Sampoerna University Muhammad Agni Catur Bhakti; Wandy Wandy; Ajeng Nindi Noviarini
Jurnal Sistem Komputer dan Informatika (JSON) Vol. 3 No. 4 (2022): Juni 2022
Publisher : Universitas Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/json.v3i4.4121

Abstract

Since the beginning of Covid-19 in Jakarta, synchronous teaching with Internet communication technology and asynchronous teaching supported by the Learning Management System (LMS) have been adopted at Sampoerna University (SU). Synchronous teaching that initially used a web-based conference technology was later changed to using a communication platform that the University has subscribed to. Lecturers were provided with 15GB (15,360MB) of data per month to support these teaching activities. This research aimed to analyze whether the Internet data quota provided by the Government was sufficient to support the teaching process during this research period. This research used a quantitative method, recorded primary data for three months, and descriptive data with non-probability sampling. It was discovered that only 9,281.34MB of data was being used (60.43%) and still had 6,078.66MB (39.57%) remaining. The conclusion that can be drawn was that the Internet quota provided by the Government was adequate to cover one month of synchronous teaching for three courses with three credits each.
UAV Technology Seminar for Elementary School Teachers Rafie Djajasoepena; Patrick Lingga; Iwan Setiawan; Kushendarsyah Saptaji; Djati Wibowo; Aditiya Harjon; Ahmad Fadhil Tsani; Eko Sulistyo; Wandy Wandy
Journal of Community Services: Sustainability and Empowerment Vol. 6 No. 01 (2026): March 2026
Publisher : Center for Research and Community Service of Sampoerna University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35806/

Abstract

An Unmanned Aerial Vehicle (UAV) is commonly referred to as a drone or an aircraft with no onboard pilot. The drone technologies have been applied in many sectors such as military, hidden area exploration, medical, and many more. Purpose of this community service activities were to have elementary school teachers have basic knowledge of UAV. Initial discussions established with the teacher a month prior the seminar. Internal discussion more within the faculty members during office days and office hours through weekly offline meeting or via instant messaging service. There were 2 UAVs prepared for this seminar, and the school also already have drone for event documentation operational purposes. D-day seminar activities were only 2 hours on 27 November 2025 including preparation in the school classroom. Post-seminar activities were generating certificates for the resource persons also for all participants. The seminar has been successfully conducted with around 10 participants. Participants earned the basic knowledge about UAVs delivered by the resource person; this was essential to have both technical and non-technical information about the UAVs for teachers.
sUAV Technology Introduction to Junior High School Students and Teachers: A Hands-On Workshop Patrick Lingga; Rafie Djajasoepena; Afrigh Elena Shabra; Iwan Setiawan; Abdullah Maindratama; Dudy Gustiza; Novan Hardana; Muhammad Johan Alibasa; Hatim Gazali; Wandy Wandy
Journal of Community Services: Sustainability and Empowerment Vol. 5 No. 02 (2025): September 2025
Publisher : Center for Research and Community Service of Sampoerna University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35806/

Abstract

Small Unmanned Aerial Vehicle (sUAV) is operated with no pilot. There has been growing improvements in drones, especially in public security, monitoring, military and disaster operations, traffic surveillance, agriculture, and many more. The purpose of this community service activities was to help junior high school students gain basic knowledge of sUAV and have opportunities to fly basic movements of the drone indoor at low altitude. There were 5 Unmanned Aerial Vehicle (UAV) prepared for this workshop. D-day workshop activities were only 2 hours on 2 October 2025 including preparation at the school. The workshop has been successfully conducted with around 30 participants. Participants had experience to fly indoor sUAVs with the mobile application as the controller and through wireless networks for connectivity, with basic maneuvers (take off/landing, forward/ backward, roll left/right, yaw left/right, and up/down), and took picture in at eye level. Total number of participants was sufficient with the supporting technologies brought to the school.
Co-Authors AA Sudharmawan, AA Abdullah Maindratama Aditiya Harjon Afrigh Elena Shabra Agustin, Charles Ahmad Fadhil Tsani Ajeng Nindi Noviarini Anak Agung Ngurah Perwira Redi Andini, Verrani Yusti Ariana Tulus Purnomo Arieq, Nadhief Amadda Arifin, Jauharul Bahagia, Katherine Luckman Belfaqih, Idrus Husin Darmawanto, Gabrielle Orla Dewi Arianti Wulandari Djati Wibowo Dudy Gustiza Effendi, Nicholas Lasca Effendy, Muhammad Ikhsan Eko Sulistyo Eryanto, Ery Faruq, Zaidan Fadlurohman Francka Sakti Lee Gilang Raka Rayuda Dewa Githa, Arum Gunawan, Daisy Christina Gunawan, Samuel Theodore Hadisujoto, Budi Halim, Enrico Hanum, Az Zahra Azizah Harditya, Arya Hartanto, Soni Rudi Hatim Gazali Honni Honni Honni, Honni Ifat, Ifat Ignatius Budi Sutanto Hadisujoto Ikhsan Effendy, Muhammad Ilham Prasetyo Ilham, Oryzea Sativa islam, sri susilawati Iwan Setiawan Iwan Setiawan Johanes Fernandes Andry Kinantya, Valereyna Jingga Kushendarsyah Saptaji Kusuma, Felicia Lestari, Putri Yuni Lestari, Tika Endah Liman, Surya Danusaputro Maindratama, Abdullah Media Anugerah Ayu, Media Anugerah Mileniawati, Indah Riantantri Muhamad Rausyan Fikri Muhammad Agni Catur Bhakti Muhammad Johan Alibasa Muhammad Johan Alibasa Muhammad Lukman Baihaqi Alfakihuddin Murti, Ade Iva Musrah, Andi Tri Supratno Nikolas Krisma Hadi Fernandez Noorfi Azizah Rahim Novan Hardana Nugraheni, Dinar Mutiara K Nurfais, Ahmad Nurprihatin, Filscha Patrick Lingga Putra, Indra Pertama Putra, Jeremy Triutomo Rafie Djajasoepena Ramadhan, Ammar Stephen, Daniel Syamsuri, Ady Tarigan, William Hazkel Teddy Mantoro Tombak Matahari Totong, Allister Tri Retnaningsih Soeprobowati Triawan, Farid Tridanisa, Nyayu Rohaya Unang Solihin Weandri, Aliffa Ratumahesa Yusup, Christian Ronaldo