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All Journal Jurnal Gizi dan Pangan E-Jurnal Medika Udayana JURNAL EMBA : JURNAL RISET EKONOMI, MANAJEMEN, BISNIS DAN AKUNTANSI Jurnal Wira Ekonomi Mikroskil Jurnal Kesehatan Masyarakat CommIT (Communication & Information Technology) JAM : Jurnal Aplikasi Manajemen Damianus Journal of Medicine JOIV : International Journal on Informatics Visualization JOURNAL OF INFORMATICS AND TELECOMMUNICATION ENGINEERING Syifa' MEDIKA: Jurnal Kedokteran dan Kesehatan Journals of Ners Community JURNAL TEKNOLOGI DAN ILMU KOMPUTER PRIMA (JUTIKOMP) ComTech: Computer, Mathematics and Engineering Applications EDUMATIC: Jurnal Pendidikan Informatika JUSIM (Jurnal Sistem Informasi Musirawas) JISKa (Jurnal Informatika Sunan Kalijaga) Majalah Ilmiah Warta Dharmawangsa Zonasi: Jurnal Sistem Informasi INTEGRITAS : Jurnal Pengabdian Prosiding National Conference for Community Service Project Community Engagement and Emergence Journal (CEEJ) Jurnal Ners Community Development Journal: Jurnal Pengabdian Masyarakat Jurnal Pengabdian kepada Masyarakat Nusantara Journal of Economics and Business UBS Jurnal Pendidikan dan Teknologi Indonesia MAHESA : Malahayati Health Student Journal Jurnal Vastukara: Jurnal Desain Interior, Budaya, dan Lingkungan Terrbangun Jurnal Ekonomi Journal Of Human And Education (JAHE) Indonesian Andrology and Biomedical Journal Jurnal Pengabdian Masyarakat Bidang Sains dan Teknologi Journal of Applied Business and Technology Innovative: Journal Of Social Science Research IRA Jurnal Pengabdian Kepada Masyarakat Integrasi : Jurnal Ilmiah Teknik Industri Jurnal Pengabdian Bukit Pengharapan Jurnal Multidisiplin Indonesia Jurnal MedScientiae Jurnal Pendidikan Buddha dan Isu Sosial Kontemporer (JPBISK) International Journal of Computer Science and Humanitarian AI
William William
Jurusan Komputerisasi Akuntansi, Fakultas Ilmu Komputer, Universitas Bina Nusantara, Jln. K.H. Syahdan No.9, Palmerah, Jakarta Barat 11480
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Carotenoid and Moisture Stability of Red Fruit (Pandanus conoideus) Oil Powder during Storage Dewi, Desak Putu Ariska Pradnya; William, William; Tanardi, Samantha; Katherine, Katherine; Mas, Muhammad Abdurrahman; Surjawan, Iwan
Jurnal Gizi dan Pangan Vol. 18 No. Supp.1 (2023)
Publisher : The Food and Nutrition Society of Indonesia in collaboration with the Department of Community Nutrition, IPB University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25182/jgp.2023.18.Supp.1.70-72

Abstract

The aim of this study was to evaluate the carotenoid and moisture stability of spray-dried and freeze-dried red fruit oil with different wall materials during storage. Red fruit emulsion was prepared by mixing sodium caseinate, maltodextrin and whey protein isolate in different ratios (1:0 (MW1), 3:1 (MW2), 1:3 (MW3) and 0:1 (MW4)), water, and red fruit oil followed by spray or freeze drying. The result showed that the carotenoid content of all samples was stable, but the moisture content changed during storage. Freeze-dried samples showed higher carotenoid and moisture content compared to spray-dried samples throughout the storage.
Implementation of Customer Segmentation Model using K-Means and DBSCAN for Fashion Industry Product Transaction William, William; Johan, Monika Evelin
JOIV : International Journal on Informatics Visualization Vol 9, No 6 (2025)
Publisher : Society of Visual Informatics

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62527/joiv.9.6.2978

Abstract

The use of online marketplaces is rapidly expanding in Indonesia, particularly within the fashion industry. To develop effective marketing strategies, it is essential to understand consumer behaviour through customer segmentation. With a deeper understanding of consumer behaviour, XYZ company, which is engaged in the fashion industry, can improve the effectiveness of marketing strategies and respond to consumer needs more accurately to achieve a significant increase in sales. This study aims to implement a customer segmentation model using clustering methods with machine learning algorithms, specifically K-Means and DBSCAN, following the CRISP-DM Data Mining Framework for data processing. The research utilizes purchasing transaction data from XYZ fashion industry, applying pre-processing techniques such as Standard Scaler and PCA before clustering. The K-Means and DBSCAN algorithms are implemented and evaluated using Silhouette Score and Davies-Bouldin Index matrices. Results show that the K-Means algorithm outperformed DBSCAN, achieving an optimal cluster number of k=7 with a Silhouette Score of 0.549 and a Davies-Bouldin Index of 0.593, compared to DBSCAN's Silhouette Score of 0.29 and Davies-Bouldin Index of 0.92. The final implementation involves creating a dashboard that automatically processes data and generates clusters to support customer segmentation decisions. The model was deployed through a simple website using FastAPI for backend Python execution and React with TypeScript for the front end. Future studies could address limitations by incorporating recent datasets to improve model accuracy, exploring alternative algorithms like Gaussian Mixture Models (GMM) for additional insights, and focusing on robust deployment strategies for real-world applications within the fashion industry.
PENGARUH MEDITASI CHAN TERHADAP KECERDASAN EMOSIONAL KOMUNITAS CHAN VIHARA DHARMA WIJAYA MEDAN Siu, Ong Cin; William, William
JURNAL PENDIDIKAN BUDDHA DAN ISU SOSIAL KONTEMPORER (JPBISK) Vol. 2 No. 1 (2020): Juni
Publisher : LPPM STAB Bodhi Dharma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56325/jpbisk.v2i1.18

Abstract

Krisis moral dan etika manusia di tengah kemajuan ilmu pengetahuan dan teknologi (IPTEK) menyebabkan manusia senantiasa diliputi emosi-emosi negatif berupa ketidaktenangan, stres, depresi maupun kekalutan yang pada akhirnya mengakibatkan kerusakan sistem syaraf dalam tubuh. Penelitian ini kemudian mempunyai tujuan untuk mengetahui pengaruh meditasi Chan terhadap kecerdasan emosional Komunitas Chan di Vihara Dharma Wijaya Medan tahun 2018. Pengaruh meditasi Chan terhadap kecerdasan emosional tersebut diteliti secara kuantitatif yang kegiatan pengumpulan datanya menggunakan desain penelitian Donal R. Cooper dan Pamela S. Schidler. Berdasarkan hasil analisis data, diketahui bahwa meditasi Chan berpengaruh secara signifikan terhadap kecerdasan emosional sebesar 80,9% menurut pengujian regresi linear sederhana, serta dapat berpengaruh secara positif terhadap kecerdasan emosional sebesar 65,4%. Penelitian kemudian berkontribusi dalam mengembangkan ketekunan bermeditasi bagi praktisi Chan dan mnumbuhkan ketertarikan umat Buddha terhadap meditasi Chan, serta menjadi rujukan pengembangan Buddha Dhamma di Nusantara dan rujukan bagi penelitian mendatang dengan topik terkait.
Inovasi Edukasi Lingkungan melalui Pemanfaatan Minyak Jelantah Menjadi Lilin di SD Desa Mabar Raja, Pada Mulia; Wahyuna, Ritna; Mahyunis, Mahyunis; Zakwan, Zakwan; Winardi, Rafael Remit Winardi; William, William
IRA Jurnal Pengabdian Kepada Masyarakat (IRAJPKM) Vol 3 No 3 (2025): Desember
Publisher : CV. IRA PUBLISHING

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56862/irajpkm.v3i3.262

Abstract

Used cooking oil is a household waste that can pollute the environment if disposed of improperly. In Mabar Village, Bangun Purba District, public awareness of waste oil management remains low. This community service program aims to provide environmental education for elementary school students by introducing the utilization of used cooking oil to produce candles. The program involved 21 students from grades 4–5. The methods included socialization on the dangers of used oil, hands-on candle-making practice, and evaluation using pre- and post-tests. The results show a significant improvement in students’ understanding, rising from 20% on the pre-test to 85% on the post-test. Furthermore, all participants successfully produced candles independently. This program effectively enhances children’s knowledge and environmental awareness.
An End-to-End Architecture for Stock Market Prediction Integrating Mobile Application, Backend Services, and ML/DL Models Wilham, Abraham Kefas; William, William; Manalu, Sonya Rapinta
International Journal of Computer Science and Humanitarian AI Vol. 3 No. 1 (2026): IJCSHAI
Publisher : Bina Nusantara University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21512/ijcshai.v3i1.15154

Abstract

Prior research on stock market prediction has predominantly focused on algorithmic accuracy, leaving a significant research gap in the system-level realization required for real-world delivery. This paper addresses this disparity by presenting an end-to-end stock prediction delivery system that operationalizes trained machine learning models within a mobile-centric architecture. Unlike model-centric studies limited to offline evaluation, this work focuses on the rarity of system-level implementation. Market data are periodically ingested into a managed relational database, where predictions are generated using a fixed historical window and persisted for downstream access. A cross-platform mobile application serves as the primary user interface, providing structured access to historical prices, predictions, and accuracy metrics via backend APIs without local model inference. A key novelty is the implementation of an in-memory caching layer to optimize responsiveness for repeated mobile access. Experimental results demonstrate that this architecture significantly improves efficiency, reducing average API response times by approximately 94% from 817 ms to 48,7778 ms compared to direct database queries. These findings underscore the critical role of mobile-oriented system design in bridging the gap between predictive modeling and practical deployment, while also highlighting the importance of scalable infrastructure, efficient data synchronization, and reliable service integration for sustainable real-world financial technology applications.
Penggunaan Gambaran Penggunaan Antibiotik pada Pasien Sepsis Dewasa di RSUD X Jakarta: Antibiotik pada Pasien Sepsis Pasaribu, Donna Mesina Rosadini; William, William; Siceria, Putri Denova
Jurnal MedScientiae Vol. 5 No. 1 (2026): April
Publisher : Universitas Kristen Krida Wacana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36452/jmedscientiae.v5i1.3753

Abstract

Sepsis is a collection of symptoms that occur as a result of an overreaction of the human immune response caused by microbes. Sepsis can progress to septic shock and if it persists accompanied by decreased immunity can cause death. Antibiotic therapy should be given as soon as the diagnosis, starting with empiric antibiotics which are then adjusted according to clinical response or culture results. This study aims to describe the use of antibiotics in RSUD X Jakarta, in adult sepsis cases. The research method is descriptive observational with consecutive sampling in accordance with the inclusion and exclusion criteria. Data collection was obtained through medical records of patients diagnosed with sepsis. The results showed that the most patients sepsis were aged less than 60 years, there were 51%, men 53%, the length of stay was less than 10 days, 62% and 55% patients had no comorbidities. The focus of infection was mostly in the lungs 38%, patients who sampled the most monotherapy antibiotics were Ceftriaxone 51.1%, the most combination use was Levofloxacin and Meropenem 21.1%, and the longest duration of antibiotic use less than 7 days with Ceftriaxone 43 (53.75%). There were 64 people (64%) of these sepsis patients died. The study concluded that the focus of infection in sepsis patients was mostly in the lungs, men aged less than 60 years, without any comorbid disease, length of stay less than 10 days. The choice of antibiotic monotherapy for septic patients, given Ceftriaxone, for combination therapy given Levofloxacin and Meropenem antibiotics.
Advancing Sustainability Education through Narrative Digital Media: A Structural Model of Student Acceptance Deli, Deli; William, William; Audelia, Clara; Syahputra, Bayu
Jurnal Pendidikan Informatika (EDUMATIC) Vol 10 No 1 (2026): Edumatic: Jurnal Pendidikan Informatika
Publisher : Universitas Hamzanwadi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29408/edumatic.v10i1.34135

Abstract

While teaching the 17 Sustainable Development Goals (SDGs) is important, many schools struggle to keep students interested, often leading to boredom or confusion. This research evaluates a 2D visual novel, Liora Island, for enhancing engagement and reducing cognitive complexity when teaching the SDGs. Using a quantitative associative design and the Technology Acceptance Model (TAM), five variables Perceived Ease of Use (PEOU), Perceived Usefulness (PU), Attitude Toward Using (ATU), Behavioral Intention (BI), and Actual Use (AU) were examined among 139 students at Mondial Senior High School, Batam. Data were analyzed using Partial Least Squares Structural Equation Modeling (PLS-SEM). Findings reveal high student acceptance across all TAM constructs. Perceived ease of use emerged as the primary driver of adoption, strongly influencing perceived usefulness and attitude. Attitude toward using significantly predicted behavioral intention, which in turn strongly determined actual use. Perceived usefulness showed smaller but significant effects on attitude and behavioral intention, indicating that usability outweighs instructional value during initial acceptance. This study contributes to sustainability pedagogy by identifying usability as key in reducing "sustainability fatigue." Practically, the results indicate that user friendly, narrative driven media are superior to traditional text heavy methods for communicating complex global challenges in secondary education.
Co-Authors , Rahima Br Purba A.A. Ketut Agung Cahyawan W Adi Neka Fatyandri Agatha, Nabila Agustinus Agustinus Ako, Ayu Syarbani Alfian, Achmad Alvina, June Ana Lucia Ekowati Anderes Gui, Anderes Andrean , Lawrence Angellee, Jesselyn Anggara, Alfin Arie Pratania Putri Arrafif, Rifqi Arruda Supinto, Pedro Audelia, Clara Aulia Qadri, Rizni Azmi, Fadhillah bah, Yasavati Kurnia Bambang Subiyanto Barus, Okky Putra Bryan, Gaffrendo Cennikon Pakpahan Chai, Silvia Revalina Damanik, Dennys Paulus Parlindungan Daniel Ardian Soeselo Darius Andana, Darius Deli Deli, Deli Desak Putu Ariska Pradnya Dewi Diny Donna Mesina Rosadini Pasaribu Eldy, Eldy Erandaru Erandaru Fadrul, Fadrul Fatiha , Senna Sayyid Ferbian Milas Siswanto Flora Rumiati Florence Statriani, Putu Denisa Fortino, Edbert Franco , Franco Gabriella Susanto, Nadya Gebril, Steven Ginting , Rio Sanjaya Gizella, Gizella Gunawan Gunawan Harahap, Nurajdina Hardi, Nicholas Hartanto, Markus Christian Hartanto, Tommy Tiara Holanda, Stevanny Ida Ayu Putu Sri Widnyani Indrati , Menik Indriani Kurniadi Sumadikarya Inneke Kusumawati Susanto Iqlima, Iqlima Iqlima, Nur Alniz Itanza, Vionita Jeanny Pragantha Jennyfer, Jennyfer Jessica Kurnia Niaga, Karmenia Joe, Sherly Johan, Monika Evelin Johny Budiman Jolyn , Jolyn Katherine Kho Khang , Jackie Khesi, Khesi Kinadi, Febriana Lie, Les Lim, Jeksen Listia Natadjaja Lubis, Abdul Rahman Mahariska, Dina Fitria Mahatmaputra, Samuel Mahyunis Manalu, Sonya Rapinta Marcel Antoni Maria Dara Novi Handayani, Maria Dara Novi Marlim, Yulvia Nora Marpaung, Fenny Krisna Maryanie Maryanie, Maryanie Maryati Maryati Mas, Muhammad Abdurrahman Mawaddah Harahap, Mawaddah Melvin Octorian, Melvin Melyana Melyana Michelle , Michelle Musa, Sulaiman Nababan, Darsono Narulita, Pety Nayottama, Vicky Nelson Ng, Selina. Ngantung, Denny Nialindawaty, Nialindawaty Nicholas Renaldo Oktasari , Stephani Pada Mulia Raja Pangaribuan, Jefri Junifer Permata, Erwin Pertiwi, Junita Maja Pradesta Varro, M. Hafish Pradnyaswari, Ida Ayu Ketut Andriyogi Priadi, Dina Puspita Purba, Tiurniari Purnasari, Nina Putri, Fransiska Minerva Rahma, Sonia Rahmadanty, Nadiya Kamila Rickie, Rickie Rico, Rico Ritna Wahyuni Rizal Tumewah Romindo Rumawas, Marina Astrid S. Sugiharto Safitri , Ariska Salim, Kevin Kristanto Saputra, Vandi Sari, Ike Rukmana Satriabudi, Mirza Indrajanti Selina. Ng, Selina. Ng Senarto, Clifton Serly, Serly Siceria, Putri Denova Sihombing, Josua Parulian Simanjuntak, Demak Claudia Yosephine Siu, Ong Cin Stefhanny, Stefhanny Suharyani, Sally Sulia Sulia Surjawan, Iwan Syahputra, Bayu Tahnia, Rizky Putra Tanardi, Samantha Tanojo, Jonathan Isaac Tanojo, Tjahjo Djojo Tarigan, Purnaya Sari Telaumbanua, Syahputra Teny Handhayani Tham, Felix Thauwrisan, Bryant Anthony Tio, Collin Tumboimbela, Melke Tya Wildana Hapsari Lubis Utomo, Natasha Susanto Veblyn, Veblyn Velicia, Paula Wahid, Nabila Wariki, Windy M. V. Wijaya, Alvin Wilda Susanti Wilham, Abraham Kefas Willim, Raymond Winardi, Rafael Remit Winardi Yo, Rivan Yosua Setyawan Soekamto Yuda Turana Zai, Immanuel Zakwan, Zakwan