Claim Missing Document
Check
Articles

PENGENDALIAN PERSEDIAAN BARANG METODE EXPONENTIAL SMOOTHING DAN ECONOMIC ORDER QUANTITY Siti Nurhanis; William Ramdhan; Elly Rahayu
Journal Computer Science and Applied Technology Vol. 2 No. 2 (2024): J-CSAT - Agusutus
Publisher : PT. Cahaya Pena Tech

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.67401/j-csat.v2i2.20

Abstract

Kerusakan mesin injeksi mobil merupakan masalah yang dapat dikaitkan pada cara pengemmudi mobil karena dapat mempengaruhi kualitas hidup baik pekerjaan, aktivitas harian dan kenyamanan. Hal ini dikernakan lemahnya pengetahuan banyak orang mengenai gejala kerusakan mesin injeksi mobil, akibat gejala dari kerusakan ini sangat sering terjadi pada banyak orang, sehingga banyak orang tidak memahami mengenai kerusakan ini. Maka diperlukannya Sistem Pakar yang bertujuan untuk mendiagnosa gejala kerusakan mesin injeksi mobil mobil yang dapat mempermudah penderita dalam mendapatkan jawaban dari gejala kerusakan mesin yang dihadapinya Untuk itu dengan adanya Sistem pakar ini yang berguna untuk mengetahui dan menampilkan hasil diagnosa dari gejala kerusakan mesin injeksi mobil serta penelusuran dari gejala-gejala kerusakan yang dialami.
SISTEM DIAGNOASA PENYAKIT POLIP DENGAN METODE FORWARD CHAINING Nurmawati; William Ramdhan; Sudarmin
Journal Computer Science and Applied Technology Vol. 3 No. 1 (2025): J-CSAT - Februari
Publisher : PT. Cahaya Pena Tech

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.67401/j-csat.v3i1.23

Abstract

Kemajuan teknologi komputer telah mengubah paradigma pengolahan data menjadi sistem pendukung keputusan yang krusial, salah satunya melalui implementasi sistem pakar. Penyakit polip nasi merupakan gangguan kesehatan pada saluran pernapasan yang sering kali sulit dibedakan dengan influenza biasa, sehingga mengakibatkan keterlambatan penanganan dan penurunan kualitas hidup penderita. Penelitian ini bertujuan untuk membangun sebuah sistem pakar diagnosa penyakit polip nasi guna membantu masyarakat mendapatkan diagnosis dini yang akurat. Sistem ini mengadopsi pengetahuan pakar ke dalam komputer dengan menggunakan metode Forward Chaining sebagai mesin inferensi. Metode ini bekerja dengan melakukan pelacakan ke depan dimulai dari sekumpulan fakta-fakta gejala yang dialami pasien untuk mencapai kesimpulan akhir. Hasil dari penelitian ini diharapkan dapat menjadi alat bantu medis yang efektif dalam mentransfer kepakaran dokter spesialis THT kepada pengguna awam, sehingga proses deteksi penyakit dapat dilakukan secara lebih cepat, tepat, dan efisien.
PENERAPAN ALGORITMA K-PROTOTYPES DALAM ANALISIS POTENSI UMKM DI KABUPATEN ASAHAN William Ramdhan; Nurwati Nurwati; Santoso Santoso
JOURNAL OF SCIENCE AND SOCIAL RESEARCH Vol. 8 No. 3 (2025): August 2025
Publisher : Smart Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54314/jssr.v8i3.3863

Abstract

Abstract: Micro, Small, and Medium Enterprises (MSMEs) in Asahan Regency have very heterogeneous characteristics, both in terms of business sectors, capital size, and income achievement. This study aims to cluster MSMEs using the K-Prototypes algorithm to group business actors into uniform clusters based on numerical and categorical characteristics. The methodology used includes the pre-processing stage, variable transformation, determining the optimal number of clusters using the elbow method, and implementing the K-Prototypes algorithm. The results of the study showed that five main clusters were successfully formed, each showing a different pattern in terms of capital, net income, and dominant business sector. Data visualization and exploration (EDA) also strengthened the understanding of the cluster structure that was formed. The cluster with the highest capital and income is dominated by the medium-scale trade sector, while the cluster with the lowest capital and income is identical to micro MSMEs in the culinary and service sectors. These findings prove that the K-Prototypes algorithm is effective in identifying MSME segmentation in a more structured manner and can be the basis for designing more targeted MSME development strategies. Keyword: UMKM; clustering; K-Prototypes; mixed data; segmentation analysis. Abstrak: Usaha Mikro, Kecil, dan Menengah (UMKM) di Kabupaten Asahan memiliki karakteristik yang sangat heterogen, baik dari sisi sektor usaha, besaran modal, hingga capaian income. Penelitian ini bertujuan untuk melakukan klasterisasi UMKM menggunakan algoritma K-Prototypes guna mengelompokkan pelaku usaha ke dalam klaster-klaster yang seragam berdasarkan karakteristik numerik dan kategorikal. Metodologi yang digunakan mencakup tahap pre-processing, transformasi variabel, penentuan jumlah klaster optimal menggunakan metode elbow, serta implementasi algoritma K-Prototypes. Hasil penelitian menunjukkan bahwa lima klaster utama berhasil dibentuk, masing-masing menunjukkan pola yang berbeda dalam hal modal, income bersih, dan sektor usaha dominan. Visualisasi dan eksplorasi data (EDA) turut memperkuat pemahaman terhadap struktur klaster yang terbentuk. Klaster dengan modal dan income tertinggi didominasi oleh sektor perdagangan skala menengah, sedangkan klaster dengan modal dan income terendah identik dengan UMKM mikro di sektor kuliner dan jasa. Temuan ini membuktikan bahwa algoritma K-Prototypes efektif digunakan untuk mengidentifikasi segmentasi UMKM secara lebih terstruktur dan dapat menjadi dasar dalam merancang strategi pengembangan UMKM yang lebih tepat sasaran. Kata kunci: UMKM; klasterisasi; K-Prototypes; data campuran; analisis segmentasi
OPTIMALISASI CRM BERBASIS AI DALAM E-COMMERCE: ANALISIS PENGARUH TERHADAP LOYALITAS PELANGGAN DENGAN PENDEKATAN SENTIMEN ANALISIS Elly Rahayu; William Ramdhan
JOURNAL OF SCIENCE AND SOCIAL RESEARCH Vol. 8 No. 4 (2025): November 2025
Publisher : Smart Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54314/jssr.v8i4.4005

Abstract

The purpose of this study is to analyze the relationship between the application of AI in CRM and customer loyalty. The results of sentiment analysis through Web Scraping are used to strengthen the interpretation of the results, not as a mediator or can be called triangulation or enrichment data. The population of this study were active e-commerce customers with a sample of 384 respondents obtained through purposive sampling techniques. Data analysts used the SEM-PLS and NLP approaches for sentiment classification. The study's results indicate that AI-based CRM has a positive and significant impact on customer loyalty. This is indicated by the T-statistic value of 29,415 > 1.96. The conceptual model is also very good, as evidenced by the SRMR value of 0.054> 0.050 and the NFI value of 0.907. Sentiment analysis collected through social media X from 3,213 tweets with the keyword skincare resulted in 74% neutral opinions, 13.7%, and 12.3% negative. Furthermore, the classification results of 7 aspects of positive and negative opinions such as aftersales, delivery, experience, order, packaging, product, and unknown, from positive opinions the largest percentage is in the experience (customer experience) 43.2% while for negative opinions the largest percentage is also in the experience aspect of 45.8%. This data is important for business owners to make improvements and improvements to create customer satisfaction. 45.8% of bad customer experiences will, if not followed up, make customers switch to other stores.
ANALISIS DATA EKSPLORATORI DAN CLUSTERING K-MODES UNTUK PEMETAAN STATUS GIZI BALITA PADA KASUS STUNTING DI KABUPATEN ASAHAN William Ramdhan; Nurwati Nurwati; Elly Rahayu
JOURNAL OF SCIENCE AND SOCIAL RESEARCH Vol. 8 No. 4 (2025): November 2025
Publisher : Smart Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54314/jssr.v8i4.4192

Abstract

Stunting is a chronic nutritional problem that impacts children's physical growth and development and is a public health challenge in Indonesia. This study integrates Exploratory Data Analysis (EDA) and K-Modes Clustering to map the nutritional status of toddlers in stunting cases in Asahan Regency. EDA was used to explore data distribution, identify relationships between nutritional status indicators, and identify risk factor patterns, while K-Modes was used to group toddlers based on shared categorical characteristics. The dataset used included sociodemographic variables (gender, age category, parental education and occupation) and nutritional status indicators (weight/age, height/age, weight/height). The analysis results showed a moderate positive correlation between weight/age and height/age (0.32) and a strong negative correlation between weight/age and weight/height (-0.50), indicating a link between stunting and wasting. The application of K-Modes resulted in three main clusters: Cluster 0, dominated by female toddlers with normal nutritional status but low parental education; Cluster 1 consists of infant girls with low weight for age and short height for age, despite most parents having a high school education; Cluster 2 contains infant boys with very low weight for age and very short height for age, and relatively low maternal education. The profile of each cluster was analyzed to identify dominant characteristics relevant for intervention. This integrative approach demonstrates that the combination of EDA and K-Modes is able to provide a comprehensive picture of variations in toddler nutritional status, thus serving as a basis for planning more targeted promotive and stunting prevention strategies at the regional level.
PELATIHAN DESAIN GRAFIS MENGGUNAKAN APLIKASI CANVA PADA LKP BINTANG MULIA Nurwati Nurwati; William Ramdhan; Santoso Santoso
Jurnal Pemberdayaan Sosial dan Teknologi Masyarakat Vol. 3 No. 2 (2023): Desember 2023
Publisher : Smart Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54314/jpstm.v3i2.1748

Abstract

Abstract: Technological development is a complex phenomenon influenced by various factors. Several theories have been proposed to explain the dynamics and evolution of technology. Technological development is not only about new discoveries, but also how technology is applied and adopted in society. In this context, factors such as regulation, public acceptance, and social impact also play an important role in shaping the direction and sustainability of technological development. Bintang Mulia Batu Bara Course and Training Institute (LKP) is an institution that provides training in various skills for the local community. The skills provided are computer courses and also English courses. In operational activities, at LKP, especially students can learn to operate computers and use applications. However, in terms of implementation and operational efficiency in carrying out the assignments or exercises given, students still do not understand how to use Graphic Design Applications. The aim of this service activity is to introduce and provide experience to students regarding graphic design applications, then using the Canva application can be an innovation for students in carrying out the assignments or exercises given. The graphic design application used is the Canva application. With this activity, it is hoped that it can provide new knowledge to students about the graphic design applications used. Keyword: Graphic Design; Canva Application; LKP Bintang Mulia Abstrak: Perkembangan teknologi merupakan fenomena kompleks yang dipengaruhi oleh berbagai faktor. Beberapa teori telah diajukan untuk menjelaskan dinamika dan evolusi teknologi. Perkembangan teknologi bukan hanya tentang penemuan baru, tetapi juga bagaimana teknologi diterapkan dan di adopsi dalam masyarakat. Dalam konteks ini, faktor faktor seperti regulasi, penerimaan masyarakat, dan dampak sosial juga memainkan peran penting dalam membentuk arah dan keberlanjutan perkembangan teknologi. Lembaga Kursus dan Pelatihan (LKP) Bintang Mulia Batu Bara merupakan institusi yang menyediakan pelatihan berbagai keterampilan bagi masyarakat sekitar. Adapun keterampilan yang disediakan yaitu kursus komputer dan juga kursus bahasa inggris. Dalam kegiatan operasional, di LKP, Khususnya peserta didik dapat belajar mengoperasikan komputer dan menggunakan aplikasi. Namun dalam penerapan dan efisiensi operasional dalam mengerjakan tugas tugas atau latihan yang diberikan, peserta didik masih belum memahami cara menggunakan Aplikasi khususnya Desain Grafis. Tujuan kegiatan pengabdian ini dilakukan untuk memperkenalkan dan memberikan pengalaman kepada peserta didik tentang aplikasi desain grafis, kemudian dengan menggunakan aplikasi ini bisa menjadi salah satu inovasi bagi peserta didik dalam mengerjakan tugas atau latihan yang diberikan.  Aplikasi desain grafis yang digunakan yaitu aplikasi Canva. Dengan adanya kegiatan ini diharapkan dapat memberikan pengetahuan baru kepada peserta didik tentang aplikasi desain grafis yang digunakan. Kata kunci: Desain Grafis; Aplikasi Canva; LKP Bintang Mulia
PELATIHAN TEKNIS PARENTING KONTROL DALAM MEDIA PENGAWASAN PENGGUNAAN GADGET PADA ANAK UNTUK IBU-IBU PKK DI DESA TELUK DALAM William Ramdhan; Nurwati Nurwati; Riki Andri Yusda
Jurnal Pemberdayaan Sosial dan Teknologi Masyarakat Vol. 4 No. 1 (2024): April 2024
Publisher : Smart Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54314/jpstm.v4i1.2116

Abstract

Abstract: As children's use of gadgets increases, effective parental supervision is becoming increasingly important to ensure children's digital safety and health. The purpose of this activity is to provide technical training on parental control through gadget use to children using the Google Family Links function when monitoring children's devices. This training program is designed to provide people with practical knowledge and skills. The method of this PkM activity is carried out in 2 ways, namely lectures that include theoretical sessions on the principles of parental control, followed by practical exercises on configuring settings using Google links. Furthermore, discussion and question and answer sessions are used to help parents provide solutions to the obstacles faced during the PkM activity. The evaluation results showed that training participants experienced a significant increase in their understanding and application of the child safety techniques taught. Surveys and interviews conducted with participants who took part in Community Service (PkM) in Teluk Dalam Village, showed that after taking the training they were able to better manage their children's device usage, including limiting device usage time and content supervision. With this training, namely using Google Family Links, it has significant benefits in improving parents' digital supervision skills and creating a safer and healthier digital environment for children. Keyword: parenting control; google family links; gadget monitoring; gadget Abstrak:  Seiring dengan meningkatnya penggunaan gadget oleh anak-anak, pengawasan orang tua yang efektif menjadi semakin penting untuk memastikan keselamatan dan kesehatan digital anak-anak. Tujuan dari kegiatan ini untuk memberikan pelatihan teknis tentang kontrol orang tua melalui penggunaan gadget kepada anak-anak dengan menggunakan fungsi Google Family Links saat memantau perangkat anak-anak. Program pelatihan ini dirancang untuk memberikan pengetahuan dan keterampilan praktis kepada orang. Metode kegiatan PkM ini dilakukan dengan 2 cara yakni ceramah yang mencakup sesi teori tentang prinsip-prinsip kontrol orang tua, diikuti dengan latihan praktis tentang mengonfigurasi pengaturan menggunakan tautan Google. Selanjutnya dilakukan sesi diskusi dan tanya jawab yang digunakan untuk membantu orang tua dalam memberikan solusi dari kendala yang dihadapi selama kegiatan PkM. Hasil evaluasi menunjukkan bahwa peserta pelatihan mengalami peningkatan yang signifikan dalam pemahaman dan penerapan teknik keselamatan anak yang diajarkan. Survei dan wawancara yang dilakukan kepada peserta yang mengikuti Pengabdian kepada Masyarakat (PkM) di desa teluk dalam, menunjukkan bahwa setelah mengikuti pelatihan mereka mampu mengelola penggunaan perangkat anak-anak mereka dengan lebih baik, termasuk membatasi waktu pemakaian perangkat dan pengawasan konten. Dengan adanya pelatihan ini yaitu menggunakan Google family Links memiliki manfaat yang signifikan dalam meningkatkan keterampilan pengawasan digital orang tua dan menciptakan lingkungan digital yang lebih aman dan sehat bagi anak-anak. Kata kunci: parenting kontrol; google family links; pengawasan gadget; gadget 
PENENTUAN KUALITAS KARET BERDASARKAN DIVISI MENGGUNAKAN METODE MOORA Nurwati Nurwati; William Ramdhan; Dewi Maharani
JOURNAL OF SCIENCE AND SOCIAL RESEARCH Vol. 5 No. 1 (2022): February 2022
Publisher : Smart Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54314/jssr.v5i1.810

Abstract

The System in an element that interacts with each other to achieve a goal, gathered together to process or to complete certain goals. At PT. BspGurach Batu Estate Tbk. Determination of the best rubber quality by division is a process in the progress of its business field so that customers are satisfied with the quality of the processed rubber. The methodology used is the quantitative method where this method contains the calculation of the processed data. The MOORA method is a method that is applied to solve problems with complex mathematical calculations introduced by Brauers and Zavadskas in 2006 with the DSS, which is to support decision makers in choosing alternative decisions which are the result of alternative data processing based on the criteria used and obtain results where Alternative 3 (A3) as the highest alternative for quality rubber. With a decision support system made using the Multi-Objective Optimization by Ratio Analysis (MOORA) method, it can assist in the decision-making process for determining rubber quality based on the division that has rubber quality.
Co-Authors . Roslidar Abdul Karim Abdul Karim Abdul Karim Syahputra Abdul Karim Syaputra Ade Amanda Yunita Ade Chairani Ade Nurainun Afriany, Joli Agi Septi Pitaya Aidil Adi Suhendra Akmal Akmal Alwi Syahbirin Andrew Ramadhani Anggi Melisa Nasution Anjani Annisa Azzahra Arridha Zikra Syah Ayu Riski Azura Rahmadani Hasibuan Cecep Maulana Chitra Latiffani Chitra Latiffani Chitra, Latiffani Dahriansah - Dahriansyah Dahriansyah Dalimunthe, Ruri Ashari Darmiyanti Marpaung Deny Jollyta Deny Jollyta Dewi Maharani Dian Aprillia Dian Aprillia Dinda Novri Farenza Dwi Putri eka eka Elly Rahayu Era Fazira Erick Santoso Frans Andrean Hasibuan Gina Safira Havid Syafwan Indri Arfanda Jeperson Hutahaean Jeperson Hutahaean Jeperson Hutahaean Jihan Raihan Zein Johan Johan Junaidi Sholat Kifti, Wan Mariatul Leli Dayani M. Zulfakhri Jain Mahyumita Sari Masitah Handayani Mesran, Mesran Mhd Ishan Muhammad Novri Rachmawan Nadya Viranika Nency Widya Monalisa Nofriadi Nofriadi Nurmawati Nursucika Hasanah Nurwati Nurwati Nurwati Nurwati Nurwati Oktaviani Dwi Rahayu Parini Prihandoko Prihandoko Pritty Noviana Sari Putri Rahma Dhini Rahayu, Elly Rahmayanti Raja Fazlun Dinara Ricki Ananda Riki Andri Yusda Rizwan Sai Rohminatin Rohminatin Rolly Yesputra Roni Dalimunthe Roslidar Ruri Ashari Dalimunthe sahren, sahren Santoso Santoso Santoso Santoso Santoso Santoso Sartini Sartini Sela Gustin Selly Tri Amanda Siti Nur Sakinah Siti Nurhanis Sitta Ayu Anggraini Sri Helena Utami Saragih Sudarmin Sudarmin Suginam SUMANTRI . Sumatri Sumatri Sumatri Sumatri Surya Darma Nasution Syafwan, Mahdhivan Syahrial Syahrial, Syahrial Teguh Gilang Maulana Marpaung Teti Purwanti Umi Indah Hazrina USWATUN HASANAH Vira Fahrani Waji Datur Rahmi Sipahutar Wan Mariatul Kifti Wan Mariatul Kifti Wan Mhd Iqbal Muttaqin Widya Amanda Susilo Yessica Siagian Yessica Siagian Yunika Afrianti Yurizka Sri Nanda Yuwaldi Away Zulkarnain Sirait