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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 JUSIM (Jurnal Sistem Informasi Musirawas) JISKa (Jurnal Informatika Sunan Kalijaga) Majalah Ilmiah Warta Dharmawangsa Dinasti International Journal of Education Management and Social Science 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.
The Role of Financial Attitude in Mediating the Influence of Digital Financial Literacy and Impulsivity on Financial Decision Making of Tech-Savvy Investors in DKI Jakarta William, William; Purnama, Eka Desy
Dinasti International Journal of Education Management and Social Science Vol. 7 No. 3 (2025): Dinasti International Journal of Education Management and Social Science (Febru
Publisher : Dinasti Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38035/dijemss.v7i3.6053

Abstract

Financial literacy play a pivotal role in the economy and community welfare. In the digital era, the ability to navigate financial technology is crucial for making rational investment decisions. However, a paradox exists in Indonesia where high digital adoption does not necessarily correlate with active or rational financial behavior, often due to psychological factors like impulsivity. This study aims to analyze the influence of Digital Financial Literacy and Impulsivity on Financial Decision Making among tech-savvy investors in DKI Jakarta, with Financial Attitude as a mediating variable. Using a quantitative approach, data were collected from 200 respondents categorized as tech-savvy investors through purposive sampling. The data were analyzed using Structural Equation Modelling (SEM) based on Partial Least Squares (PLS) with SmartPLS 4 software. The results demonstrate that Digital Financial Literacy has a significant positive effect on Financial Decision Making, while Impulsivity has a significant negative effect. Furthermore, Financial Attitude significantly mediates these relationships; it is positively shaped by Digital Financial Literacy and negatively impacted by Impulsivity. The study concludes that fostering a prudent Financial Attitude is essential for mitigating the adverse effects of Impulsivity in the digital investment landscape. These findings suggest that stakeholders must integrate behavioral interventions alongside technical education.
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 (In Press)
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.
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 Aulia Qadri, Rizni Azmi, Fadhillah bah, Yasavati Kurnia Bambang Subiyanto Barus, Okky Putra Bryan, Gaffrendo Chai, Silvia Revalina Damanik, Dennys Paulus Parlindungan Daniel Ardian Soeselo Darius Andana, Darius Deli Desak Putu Ariska Pradnya Dewi Diny Eka Desy Purnama 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 Pakpahan, Cennikon 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 Sihombing, Josua Parulian Simanjuntak, Demak Claudia Yosephine Siu, Ong Cin Stefhanny, Stefhanny Suharyani, Sally Sulia Sulia Surjawan, Iwan 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