Garuda - Garba Rujukan Digital

Membangun Game Edukasi Pengenalan Bahasa Inggris Sebagai Media Pembelajaran Siswa Kelas IV SD Berbasis Multimedia Binti Solikah, Gatot Susilo, Kartika Imam Santoso
TRANSFORMASI Vol 12, No 1 (2016): TRANSFORMASI
Publisher : STMIK BINA PATRIA

AbstrakTujuan penelitian ini adalah merancang aplikasi multimedia interaktif, berupa aplikasi gameedukasi yang digunakan sebagai media pembelajaran pengenalan bahasa inggris untuk siswakelas IV SD, dan mengetahui tanggapan siswa terhadap penggunaan game edukasi ini.Materi dalam media pembelajaran berupa materi dasar, meliputi pengenalan hewan, buahbuahan, sayur-sayuran, dan alat transportasi. Metode penelitian yang digunakan adalahmetode eksperimental. Tahapan dalam prosedur penelitian ini adalah survei, menemukanmasalah, merumuskan masalah, analisa, perancangan, dan implementasi. Perancangan gameedukasi pengenalan bahasa inggris tersebut meliputi perancangan antarmuka dan modelproses. Aplikasi game edukasi pengenalan bahasa inggris sebagai media pembelajaran inidiharapkan dapat membantu siswa dalam belajar dan memahami pelajaran bahasa Inggris,khususnya dalam hal membaca dengan menciptakan suasana kelas yang berbeda.Kata Kunci: Media pembelajaran, Games edukasi, Multimedia interaktif

E-COMMERCE PADA SENTRA BATIK TINGAL DI BOROBUDUR KABUPATEN MAGELANG Laila Rahmawati, Kartika Imam Santoso, Sukris Sutiyatno
TRANSFORMASI Vol 15, No 1 (2019): TRANSFORMASI
Publisher : STMIK BINA PATRIA

Seiring dengan berkembangnya teknologi informasi, persaingan dalam dunia bisnis juga semakin ketat. Dengan keberadaan internet dalam sebuah bisnis, diharapkan jarak antara penjual dan pembeli menjadi semakin dekat. Maka dari itu dengan dibangunnya E-Commerce diharapkan dapat memperluas serta mempermudah dalam bidang pemasaran pada usaha yang dijalankan tersebut. Penelitian bertujuan untuk membuat sebuah aplikasi E-Commerce pada Sentra Batik Tingal di Borobudur Kabupaten Magelang. Pendekatan pengembangan sistem menggunakan model Rekayasa Perangkat Lunak (RPL) Waterfall (air terjun), bahasa pemrograman yang digunakan PHP dan database MySQL. Hasil yang diperoleh dari penelitian ini yaitu terbangunnya sebuah e-Commerce Batik Tingal sehingga dapat mengatasi masalah pemasaran yang ruang lingkupnya masih kecil dan mempermudah dalam pemasaran produk batik yang dijual. Kata kunci : E-Commerce, Batik Tingal, Waterfall, PHP

METODE FUZZY TIME SERIES MODEL CHEN UNTUK MEMPREDIKSI JUMLAH KASUS AKTIF COVID-19 DI INDONESIA Arif Ikhsanudin; Kartika Imam Santoso; Sugeng Wahyudion0
TRANSFORMASI Vol 18, No 1 (2022): TRANSFORMASI
Publisher : STMIK BINA PATRIA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56357/jt.v18i1.298

In 2021, new cases of COVID-19 continue to be increase in Indonesia every day, so this pandemic can be said to be still not over. Estimates of the number of active cases in the next day can be used to make policies, as far as prepare stocks of medical equipment needs. This study presents the use of the Chen model Fuzzy Time Series to predict the number of active COVID-19 cases in Indonesia in the next one day based on data from the past 30 days. Official government data is used as actual data to calculate predicted results. The results of this study show that in the range of 30 days from July 19, 2021, to August 17, 2021, using the Chen model Fuzzy Time Series method to predict the number of active COVID-19 cases in Indonesia, forecasting on 18 August 2021 with cases of 376,339 with an error ratio MAPE of 3.53% which is included in the category of very good forecasting.

ANALISIS KEBUTUHAN SISTEM INFORMASI MONITORING ANGGARAN PADA DINAS KEPENDUDUKAN DAN PENCATATAN SIPIL KABUPATEN MAGELANG Sundari, Cisilia; Santoso, Kartika Imam; Widorani, Efta; Nugroho, Prasetyo
TRANSFORMASI Vol 19, No 1 (2023): TRANSFORMASI
Publisher : STMIK BINA PATRIA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56357/jt.v19i1.323

Pentingnya melakukan monitoring keuangan secara efektif menjadi kunci keberhasilan bagi suatu institusi dalam peningkatan kinerja keuangan. Dinas Kependudukan dan Pencatatan Sipil Kabupaten Magelang, dalam upaya meningkatkan kinerja keuangan membutuhkan Sistem Informasi Monitoring Anggaran agar perencanaan dan pelaksanaan realisasi anggaran dapat dilakukan secara efektif dan maksimal serta dapat meminimalisir silpa anggaran. Tujuan dari penelitian ini untuk mengetahui kebutuhan Sistem Informasi Monitoring Anggaran pada Dinas Kependudukan dan Pencatatan Sipil Kabupaten Magelang. Metode pengumpulan data dalam penelitian ini menggunakan observasi, wawancara dan dokumen. Analisis sistem menggunakan PIECES. Hasil dari penelitian adalah dapat mengetahui kebutuhan sistem informasi monitoring anggaran dengan perencanaan dan realisasi anggaran yang sesuai jadwal kegiatan secara lebih efektif sehingga target kinerja keuangan tercapai secara maksimal serta minimalisir silpa anggaran.

SISTEM INFORMASI KELUHAN PELANGGAN BERBASIS MOBILE PADA PDAM KOTA MAGELANG Al Munawar, Habib Riziq; Santoso, Kartika Imam; Febriani, Yeza
TRANSFORMASI Vol 20, No 2 (2024): TRANSFORMASI
Publisher : STMIK BINA PATRIA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56357/jt.v20i2.409

The aim of this research is to be able to design and build a Mobile-Based Customer Complaint Information System at PDAM Magelang City, and to find out the impact of implementing a customer complaint information system at PDAM Magelang City. The research methodology used is a software engineering approach. Meanwhile, the system development method uses Waterfall. The stages are Requirements Definition, System and Software Design, Implementation and Unit Testing, Implementation and Unit Testing, Operation and Maintenance. The system design used in this research is modeling using Data Flow Diagrams (DFD). The result of this research is a mobile-based customer complaint information system at PDAM Magelang City. And the impact of implementing this customer complaints system is that PDAM Kota Magelang can receive customer complaints in real time with a score of 84.4%, customers can submit complaints anytime and anywhere via cellphone or Android-based gadget.Keywords: Customer Complaint Information System, Magelang City, PDAM, Mobile, Waterfall.

ALGORITMA RANDOM FOREST, DECISION TREE, DAN XGBOOST UNTUK KLASIFIKASI STUNTING PADA BALITA Dhika Malita; DHIKA MALITA PUSPITA ARUM; KARTIKA IMAM SANTOSO; ANDRI TRIYONO; EKO SUPRIYADI; AGUS SUSILO NUGROHO; Widodo, Edi
Jurnal Transformatika Vol. 23 No. 1 (2025): July 2025
Publisher : Jurusan Teknologi Informasi Universitas Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26623/transformatika.v23i1.12202

At the age of toddlers, children need special attention because their brains develop around 80%. Stunting is a form of long-term nutritional deficiency that occurs during the growth and development of children, which are marked with height that is not appropriate or less compared to children their age based on the standard WHO. This condition can adversely affect the cognitive development and health of children. Identifying toddlers who are at risk of experiencing stunting at an early stage is very important to reduce the adverse effects that can affect their quality of life in the future. Traditional methods are less effective in predicting stunting because they often ignore the complex factors that affect the nutritional status of toddlers. This study aims to classify stunting toddlers using Random Forest, Decision Tree, and Extreme Gradient Boost (XGBOOST) algorithms. The results obtained showed that the accuracy of the Random Forest algorithm received the highest accuracy of 99.72 %, Extreme Gradient Boost (XGBOOST) at 99.58 %, and Decision Tree received 98 87 %accuracy.

PENGELOMPOKAN PERMINTAAN DARAH BERDASARKAN GOLONGAN DAN WAKTU DI KABUPATEN GROBOGAN DENGAN ALGORITMA K-MEANS triyono, andri; Santoso, Kartika Imam; Arum, Dhika Malita Puspita; Supriyadi, Eko; Nugroho, Agus Susilo
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.v21i1.418

The availability of adequate blood supplies continues to pose a significant challenge for blood transfusion services such as the Indonesian Red Cross (PMI), particularly due to the fluctuating and uneven nature of demand across various blood groups. Incorrectly estimating blood demand can result in either critical shortages that jeopardize patient safety or an excess of supplies that are wasted due to the limited shelf life of blood. The objective of this research is to examine historical blood demand data in Grobogan Regency by applying the K-Means clustering algorithm to identify trends related to time intervals and blood group classifications. The study draws on secondary data involving blood requests across multiple blood groups over a span of several years. By implementing the K-Means method, the research identifies unique trends in demand, highlighting critical periods between 2013–2016 and 2022–2024, during which nearly all blood types showed elevated levels of demand. These insights are crucial for improving blood stock management, refining donor mobilization strategies, and enhancing distribution planning based on empirical patterns. The K-Means algorithm proves effective in handling extensive and continuous numerical data, offering valuable guidance for strategic decision-making in healthcare logistics.

Workshop Aplikasi Mobile SmartVote Untuk Edukasi Demokrasi dan Pemilu Bagi Generasi Muda melalui Game Interaktif Rahayu, Sari; Mariam, Iis; Santoso, Kartika Imam; Ilyas, Muhammad; Triyono, Andri
JIPITI: Jurnal Pengabdian kepada Masyarakat Vol. 2 No. 2 (2025): Mei 2025 - JIPITI: Jurnal Pengabdian kepada Masyarakat
Publisher : PT. Technology Laboratories Indonesia (TechnoLabs)

Show Abstract | Download Original | Original Source | Check in Google Scholar

Kegiatan pengabdian ini bertujuan untuk mengajarkan demokrasi dan pemilu kepada anak muda dengan cara inovasi dan interaktif, menggunakan aplikasi mobile SmartVote. Dalam rangka partisipasi pemilih yang masih rendah dan serta kurangnya pemahaman terhadap nilai-nilai demokrasi, program ini diharapkan menjadi solusi edukatif yang lebih menghibur dan berakses mudah. Kegiatan dalam bentuk workshop yang menargetkan siswa-siswi dari tingkat SMA/SMK sebagai audiens utama. Metode pelaksanaan berupa presentasi materi, demonstrasi aplikasi, simulasi pemilu digital, tanya jawab, dan diskusi kelompok. Aplikasi SmartVote dirancang sebagai game edukatif yang menyajikan simulasi pemilu seperti kampanye, pencoblosan, dan penghitungan suara, yang dikemas dalam bentuk interaktif berbasis skenario. Hasil pelaksanaan menunjukkan bahwa para peserta antusias mengikuti workshop dan lebih memahami prinsip-prinsip dasar demokrasi serta tahapan pemilu yang sangat signifikan. Evaluasi dilakukan dengan pre-test dan post-test, serta kuesioner kepuasan peserta. Berdasarkan data evaluasi, SmartVote menunjukkan 87% peserta memuat demokrasi yang lebih menarik.

PENGELOMPOKAN PERMINTAAN DARAH BERDASARKAN GOLONGAN DAN WAKTU DI KABUPATEN GROBOGAN DENGAN ALGORITMA K-MEANS triyono, andri; Santoso, Kartika Imam; Arum, Dhika Malita Puspita; Supriyadi, Eko; Nugroho, Agus Susilo
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.v21i1.418

The availability of adequate blood supplies continues to pose a significant challenge for blood transfusion services such as the Indonesian Red Cross (PMI), particularly due to the fluctuating and uneven nature of demand across various blood groups. Incorrectly estimating blood demand can result in either critical shortages that jeopardize patient safety or an excess of supplies that are wasted due to the limited shelf life of blood. The objective of this research is to examine historical blood demand data in Grobogan Regency by applying the K-Means clustering algorithm to identify trends related to time intervals and blood group classifications. The study draws on secondary data involving blood requests across multiple blood groups over a span of several years. By implementing the K-Means method, the research identifies unique trends in demand, highlighting critical periods between 2013â€“2016 and 2022â€“2024, during which nearly all blood types showed elevated levels of demand. These insights are crucial for improving blood stock management, refining donor mobilization strategies, and enhancing distribution planning based on empirical patterns. The K-Means algorithm proves effective in handling extensive and continuous numerical data, offering valuable guidance for strategic decision-making in healthcare logistics.

SISTEM INFORMASI KELUHAN PELANGGAN BERBASIS MOBILE PADA PDAM KOTA MAGELANG Al Munawar, Habib Riziq; Santoso, Kartika Imam; Febriani, Yeza
TRANSFORMASI Vol 20, No 2 (2024): TRANSFORMASI
Publisher : STMIK BINA PATRIA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56357/jt.v20i2.409

The aim of this research is to be able to design and build a Mobile-Based Customer Complaint Information System at PDAM Magelang City, and to find out the impact of implementing a customer complaint information system at PDAM Magelang City. The research methodology used is a software engineering approach. Meanwhile, the system development method uses Waterfall. The stages are Requirements Definition, System and Software Design, Implementation and Unit Testing, Implementation and Unit Testing, Operation and Maintenance. The system design used in this research is modeling using Data Flow Diagrams (DFD). The result of this research is a mobile-based customer complaint information system at PDAM Magelang City. And the impact of implementing this customer complaints system is that PDAM Kota Magelang can receive customer complaints in real time with a score of 84.4%, customers can submit complaints anytime and anywhere via cellphone or Android-based gadget.Keywords: Customer Complaint Information System,Â Magelang City, PDAM, Mobile, Waterfall.

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