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All Journal JURNAL SISTEM INFORMASI BISNIS Semantik INFOKAM Jurnal Transformatika Scientific Journal of Informatics JIEET (Journal of Information Engineering and Educational Technology) Go Infotech: Jurnal Ilmiah STMIK AUB Transformasi JIPITI: Jurnal Pengabdian kepada Masyarakat Go Infotech: Jurnal Ilmiah STMIK AUB Jurnal Sistem Informasi (JASISFO) Julia Jurnal
Kartika Imam Santoso
STMIK Bina Patria
Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Mathematics Social Sciences Other

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Journal : Transformasi

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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

Abstract

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

Abstract

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

Abstract

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.
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

Abstract

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.
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

Abstract

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.
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

Abstract

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.
Co-Authors Agus Susilo Nugroho Al Munawar, Habib Riziq Anak Agung Gede Sugianthara Andri Triyono Anggraini, Ani Anjar Septinegara aprilianto, dwi kurniawan Arif Ikhsanudin Arum, Dhika Malita Puspita Chrisna Hidayat Cisilia Sundari Condro Wibowo, Agus Dhika Malita Dhika Malita Puspita Dwi Astuti, Rizky Edi Widodo Edi Widodo, Edi Eko Sediyono Eko Supriyadi Emmanuel, Rheimanda Devin Emmanuel, Rheimanda Devin Emmanuel Estu Tunjung Pambayun Farida Yunita Iis Mariam Kapti . Kisnandhya Putra, Afif Malita Puspita Arum, Dhika Mendi Sangkoyrala Hidayat Muhamad Nur Rais, Muhamad Nur Muhammad Abdul Muin Muhammad Ilyas Musyarof, Muhammad Nabil Nabil, Muhammad Nabil Musyarof Nafi Projo Kusumo, Nafi Projo Najhan Atifa, Akhie Naufal Islam, Nibroos Neda Cisya Tama, Freshma Nugroho, Agus Susilo Prasetyo Nugroho Prihati . Putri Kusumasari, Putri Rahayu, Sari Rodliyati Karima, Isyatin Rosita Erfiyana Saniya, Zahra Fatma Santoso, Kartika Satriya, Ilham Jati Sri Waluyo Sugeng Wahyudion0 Sugeng Wahyudiono, Sugeng Sukris Sutiyatno Sunarni Sunarni Theresia Widji Astuti Triyono, Andri Widorani, Efta Yeza Febriani Yusuf , Hikmaturridho Yusuf Mufarihin, Ahmad