Garuda - Garba Rujukan Digital

Augmented Reality Kampanye Bahaya Merokok Berbasis Android Kapti, Kapti; Priyoatmoko, Wahyu
Jurnal Ilmiah IT CIDA Vol 6 No 1: Juni 2020
Publisher : STMIK AMIKOM Surakarta

Merokok merupakan rutinitas sebagian masyarakat, baik di rumah maupun di tempat umum. Sedangkan di STMIK Bina Patria Magelang aktivitas merokok masih bisa ditemui di kalangan mahasiswa. Hal iniÂ perlu untuk dicarikan penyelesaiannya. Penelitian ini memiliki tujuan Dapat merancang dan membangun Augmented Reality Kampanye Bahaya Merokok yang diaplikasikan di smartphone dengan OS Androidâ€. Penelitian ini menggunakan metode perancangan dan pengembangan perangkat lunak MDLC. Enam tahapan yang dimikili MDLC antara lain : concept, design, material collecting, assembly, testing, distribution. Augmented Reality Kampanye Bahaya Merokok yang telah dibuat dapat menampilkan gambar 3d dampak rokok bagi tubuh manusia, menampilkan kandungan rokok dan menampilkan informasi bahaya rokok bagi tubuh manusia. Hasil Pengujian kuesionerÂ aplikasi ini menunjukkan 70% responden menyatakan bahwa aplikasi iniÂ layak. Hal ini membuat mereka sadar akan bahaya rokok. Kata Kunci: Android, Augmented Reality, Bahaya rokok, Media , Unity.

SEGMENTASI PELANGGAN MENGGUNAKAN METODE DBSCAN UNTUK MENDETEKSI POLA BELANJA Handayani, Riska Dwi; Astuti, Dwi; Priyoatmoko, Wahyu; Kapti, Kapti
TRANSFORMASI Vol 21, No 1 (2025): TRANSFORMASI
Publisher : STMIK BINA PATRIA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56357/jt.v21i1.439

Customer segmentation is one approach used to identify customer characteristics. Accurate segmentation allows companies to personalize offers, increase customer retention and optimize marketing costs. The purpose of this study is to group customer characteristics of a retail company using the DBSCAN (Density-Based Spatial Clustering of Applications with Noise) method. The DBSCAN method does not require initial determination of the number of clusters, is able to recognize clusters with irregular shapes and can identify outliers or customers with extreme patterns. The dataset used is an external dataset obtained from Kaggle. The dataset contains customer personalization analysis with a total of 2,240 rows and 29 columns. The results of the study show that the DBSCAN method can produce an eps value of 1.2 and produce the highest Silhouette Score of 0.080 with 4 clusters formed. Visualization of segmentation results with PCA dimension reduction techniques into two dimensions to facilitate interpretation. The PCA visualization produces 5 clusters, each of which represents its respective customer group. Thus, this approach offers an adaptive segmentation alternative that is more sensitive to complex behavioral patterns.Keywords : Customer segmentation, DBSCAN, shopping patterns, silhouette scorem, PCA

Implementation of the K-Means Clustering Algorithm for Customer Segmentation Kapti, Kapti; Astuti, Dwi
Sistemasi: Jurnal Sistem Informasi Vol 14, No 6 (2025): Sistemasi: Jurnal Sistem Informasi
Publisher : Program Studi Sistem Informasi Fakultas Teknik dan Ilmu Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32520/stmsi.v14i6.5573

With the rapid advancement of digital technology, companies are faced with an increasing volume and complexity of customer data. This necessitates a more effective approach to customer segmentation in order to better understand consumer behavior patterns and preferences. The large number of customers conducting transactions daily makes it challenging for managers to distinguish between highly frequent shoppers and less frequent ones based on transaction data and purchasing preferences. Therefore, the role of the K-Means clustering algorithm is crucial in addressing this issue. The objective of this study is to implement the K-Means Clustering algorithm for customer segmentation by grouping customers into three clusters: highly frequent shoppers, moderately frequent shoppers, and infrequent shoppers. The research methodology includes the following steps: data collection of transactions and customer preferences, data preprocessing, algorithm implementation, and validation and testing. The clustering parameters are based on the number of purchases, number of transactions, and quantity of items purchased. The functional testing results indicate that the system performs well, as all test scenarios were successfully executed. Furthermore, the evaluation using the Silhouette Coefficient (SC) method produced a strong structure status, with an average SC value of 0.97. This result demonstrates that the dataset is highly robust and suitable to serve as a reference model for customer segmentation.

PELATIHAN SISTEM INFORMASI PERPUSTAKAAN SEBAGAI SARANA PENINGKATAN KUALITAS PENDIDIKAN SDN BENGKAL KRANGGAN TEMANGGUNG Kapti, Kapti; Fatkhurrochman, Fatkhurrochman; Priyoatmoko, Wahyu; Waluyo, Sri
Jurnal Pengabdian Masyarakat Nasional Vol 4, No 2 (2024)
Publisher : Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/pemanas.v4i2.30976

Perpustakaan sekolah berperan penting dalam meningkatkan kualitas pendidikan dengan fungsi utama sebagai sistem informasi yang mendukung pembelajaran, pengembangan minat baca, dan pencapaian tujuan pendidikan. Namun, pengelolaan perpustakaan SDN Bengkal masih terbatas karena ketiadaan sistem informasi, kurangnya tenaga pustakawan kompeten, dan minimnya koleksi pustaka, sehingga belum mampu memberikan pelayanan optimal bagi siswa dan guru. Melalui kegiatan Pengabdian Kepada Masyarakat, dosen STMIK Bina Patria memberikan pelatihan dan pendampingan pengelolaan perpustakaan serta pengenalan sistem informasi. Kegiatan ini bertujuan untuk meningkatkan kualitas layanan perpustakaan, mendukung aktivitas pembelajaran, mempermudah pengelolaan bagi guru dan staf, serta menjadikan perpustakaan sebagai sarana belajar yang lebih efektif. Hasil evaluasi melalui kuesioner yang melibatkan tujuh guru di SDN Bengkal menunjukkan bahwa 92,4% responden merasa sangat puas dengan pelatihan dan implementasi sistem informasi perpustakaan. Sistem yang diterapkan terbukti mempermudah pengelolaan koleksi buku dan sirkulasi, serta meningkatkan efisiensi layanan perpustakaan. Diharapkan upaya ini dapat berkelanjutan, dengan rekomendasi untuk pelatihan lanjutan dan pengembangan sistem untuk mendukung perkembangan perpustakaan di masa depan.

SEGMENTASI PELANGGAN MENGGUNAKAN METODE DBSCAN UNTUK MENDETEKSI POLA BELANJA Handayani, Riska Dwi; Astuti, Dwi; Priyoatmoko, Wahyu; Kapti, Kapti
TRANSFORMASI Vol 21, No 1 (2025): TRANSFORMASI
Publisher : STMIK BINA PATRIA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56357/jt.v21i1.439

Customer segmentation is one approach used to identify customer characteristics. Accurate segmentation allows companies to personalize offers, increase customer retention and optimize marketing costs. The purpose of this study is to group customer characteristics of a retail company using the DBSCAN (Density-Based Spatial Clustering of Applications with Noise) method. The DBSCAN method does not require initial determination of the number of clusters, is able to recognize clusters with irregular shapes and can identify outliers or customers with extreme patterns. The dataset used is an external dataset obtained from Kaggle. The dataset contains customer personalization analysis with a total of 2,240 rows and 29 columns. The results of the study show that the DBSCAN method can produce an eps value of 1.2 and produce the highest Silhouette Score of 0.080 with 4 clusters formed. Visualization of segmentation results with PCA dimension reduction techniques into two dimensions to facilitate interpretation. The PCA visualization produces 5 clusters, each of which represents its respective customer group. Thus, this approach offers an adaptive segmentation alternative that is more sensitive to complex behavioral patterns.Keywords : Customer segmentation, DBSCAN, shopping patterns, silhouette scorem, PCA

ANALISA DAN PERANCANGAN SISTEM INFORMASI PENGELOLAAN SURAT PADA SMP NEGERI 1 KALORAN BERBASIS WEB Priyoatmoko, Wahyu; Kapti, Kapti; Waluyo, Sri; Handayani, Riska Dwi
TRANSFORMASI Vol 19, No 2 (2023): TRANSFORMASI
Publisher : STMIK BINA PATRIA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56357/jt.v19i2.389

Penelitian ini bertujuan untuk merancang dan membangun Sistem Informasi Manajemen Surat secara teratur dan terkomputerisasi atau secara singkat dan jelas di SMP N 1 Kaloran. Pendekatan penelitian yang digunakan adalah metode pengembangan sistem yang digunakan adalah Waterfall dari Pressman Maxim. Dengan tahapan antara lain Communication, Planning, Modeling, Construction, Deployment. Perancangan yang digunakan pada penelitian ini adalah pemodelan DFD (Data Flow Diagram). Sedangkan perancangan basis data menggunakan ERD (Entity Relationship Diagram) dan pengujiannya menggunakan metode Blackbox. Hasil dari penelitian ini adalah dapat merancang dan membangun sistem informasi manajemen surat masuk dan surat keluar secara teratur dan terkomputerisasi di SMP N 1 Kaloran.

E-ARSIP BAGI LEMBAGA PENDIDIKAN BERBASIS WEB MENGGUNAKAN FRAMEWORK CODEIGNITER Nahdliy, Faiz Jabar; Fatkhurrochman, Fatkhurrochman; Kapti, Kapti; Muin, Muhammad Abdul; Wahyudiono, Sugeng; Handayani, Riska Dwi
TRANSFORMASI Vol 20, No 1 (2024): TRANSFORMASI
Publisher : STMIK BINA PATRIA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56357/jt.v20i1.395

Technology helps users do various things and activities that can produce the latest and innovative technology in various fields, including education. MTs Ma'arif Tembarak is a formal secondary level educational institution under the Ministry of Religion in Temanggung Regency. In carrying out archive management still using conventional methods and has not digitized archives, with 1,500 archive data recorded over 3 years. This causes uncertainty in archival documents and the history of follow-up to managed documents as well as difficulty in searching for data and documents. This research aims to design and build a web-based e-archive system for educational institutions to provide solutions to the problems faced. The method in this research uses the waterfall method with system visualization using DFD and ERD in the database management illustration used. The e-archive system was developed on a web basis with PHP and MySQL programming languages using the CodeIgniter framework and tested using the black box testing method with valid results. Next, a user evaluation was carried out on 5 respondents according to user level with the results of the feasibility percentage being 72%, based on the Likert scale, it was said that the impact or use value was good.

PERANCANGAN START UP DIGITAL ENT BABY EQUIPMENT AND TOYS RENTAL DENGAN METODE USER DESIGN CENTER M A, M Lutfi; Febriani, Yeza; Kapti, Kapti
Jurnal SIMADA (Sistem Informasi dan Manajemen Basis Data) Vol. 7 No. 1 (2024): Jurnal SIMADA (Sistem Informasi dan Manajemen Basis Data)
Publisher : LP2M Institut Informatika Dan Bisnis Darmajaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30873/simada.v7i1.356

The digital start-up ENT Baby Equipment and Toys Rental was founded with the aim of meeting families' needs for baby equipment and various toys that can be rented for a certain period of time. Because the use of equipment, equipment and toys for babies and children is relatively short and not everyone can afford it, this rental service is very helpful for those who have limited funds. ENT can be accessed via the ENT Mobile Apps application online with the aim of making it easier for consumers to choose the items they want to rent without having to come directly to the equipment rental place. ENT is affiliated with several trusted and registered baby equipment and toy rental partners. In this way, ENT will bridge between consumers and rental partners for baby equipment and children's toys. The design method uses the User Center Design method, while the business process analysis uses the SWOT method and needs analysis uses the TELOS analysis method. Based on Usability Testing using the Usability Heuristic method approach, the average indicator assessment was 86%. This shows that the ENT digital start-up application gives an intuitive and user-friendly impression so that it can be accepted and easy to understand by users.

DARI KEBUN KE MARKETPLACE: INOVASI KOPI FERMENTASI MADU DAN OPTIMALISASI PEMASARAN DIGITAL Priyoatmoko, Wahyu; Kapti, Kapti; Faradina Iskandar, Nabila; Ardina Nur H, Muhamad
Martabe : Jurnal Pengabdian Kepada Masyarakat Vol 8, No 9 (2025): MARTABE : JURNAL PENGABDIAN KEPADA MASYARAKAT
Publisher : Universitas Muhammadiyah Tapanuli Selatan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31604/jpm.v8i9.3842-3848

Dusun Bolang yang terletak di Desa Klepu, Kecamatan Kranggan, Kabupaten Temanggung merupakan sebuah daerah yang memiliki potensi besar dalam produksi kopi, namun belum dimanfaatkan secara optimal. Penduduk lokal bergantung pada budidaya kopi dan beternak lebah, tetapi karena pengolahan dan pemasaran masih dilakukan secara tradisional, keuntungan yang diperoleh sangat kecil. Proyek layanan ini bertujuan untuk meningkatkan kapasitas petani melalui pengembangan inovasi fermentasi kopi madu, pelatihan fotografi produk, desain kemasan, dan pemasaran digital menggunakan media sosial dan marketplace. Pendekatan yang diambil meliputi sosialisasi, pelatihan, penerapan teknologi, pendampingan, dan evaluasi yang berkelanjutan. Hasilnya menunjukkan bahwa petani dapat memproduksi kopi madu dengan rasa yang khas dan menggunakan media digital untuk mempromosikan serta mulai membangun jaringan pemasaran online. Proyek ini bertujuan untuk meningkatkan daya saing produk lokal, menambah nilai ekonomi, dan memastikan keberlangsungan petani kopi di Desa Klepu Temanggung

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