Article Per Year (5 Year)
p-Index From 2020 - 2025
0.562
P-Index
This Author published in this journals
All Journal Widyagogik : Jurnal Pendidikan dan Pembelajaran Sekolah Dasar RESEARCH : Computer, Information System & Technology Management
Agus Susilo Nugroho
Universitas Amikom Yogyakarta
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Education

Published : 3 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 3 Documents
Search

 1 
STRATEGIC INFORMATION SYSTEMS PLANNING AND INFORMATION TECHNOLOGY FOR SCHOOL Agus Susilo Nugroho
Widyagogik Vol 8, No 1 (2020): Widyagogik
Publisher : Program Studi Pendidikan Guru Sekolah Dasar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21107/widyagogik.v8i1.8250

Abstract

As a foundation, At-Thoat school has a routine agenda every year, namely the Admission of New Students (ANS). Even though they have implemented by online, they have not been able to realize one day service. The speed and automation of ANS services greatly helps the acquisition of new students. Because competition for new students is competitive. In addition, the number of new students at At-Thoat has also greatly influenced the survival of the school. The solution offered in this study for this problem is to compile a strategic design for Information Systems (IS) and Information Technology (IT) using the Ward and Peppard method, which are design methods capable of producing IS / IT strategies that are in line with business strategies. The first stage in applying this method in this research is the analysis of current conditions, both the organization as a whole and the IS / IT aspect. The next stage is an analysis of IS / IT needs in the future. The final stage is the preparation of IS / IT strategic steps. To analyze each of these stages, analysis tools are needed, namely: SWOT, critical success factor. The implementation of the Ward and Peppard methods and their analytical tools were able to identify and recommend IS / IT needs at At-Thoat School for the next 5 years. However, the resulting recommendations must be adjusted to the priority scale, because of the various limitations faced.   
Optimasi Basis Data Spasial Untuk Mengidentifikasi Lampu APILL Di Kabupaten Sleman Ichsan Wasiso; Agus Susilo Nugroho; Donny Yulianto; Kusrini Kusrini
RESEARCH : Journal of Computer, Information System & Technology Management Vol 3, No 1 (2020)
Publisher : UNIVERSITAS PGRI MADIUN

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (415.7 KB) | DOI: 10.25273/research.v3i1.5799

Abstract

Lampu Apill (alat pemberi isyarat lalu lintas) merupakan salah satu rambu lalu lintas penting di jalan raya. Lampu apill biasa ditempatkan di persimpangan jalan, entah itu perempatan atau pertigaan. Adanya lampu apill membuat lalu lintas jalan raya bisa tertib, sehingga dapat mengurangi kemacetan hingga kecelakaan lalu lintas. Begitu pentingnya keadaan lampu apill, sehingga perlu pemeliharaan secara konsisten agar keberadaannya bisa bermanfaat secara maksimal. Tak jarang dalam melakukan pemeliharaan lampu apill, petugas menemui kesulitan dalam mengetahui lokasi lampu apill yang sudah tidak layak. Hal ini disebabkan karena tidak adanya basis data spasial yang mengakomodasi lokasi lampu apill. Kesulitan dalam mendata lampu apill ini berdampak pada kesulitan dalam menentukan anggaran terhadap lampu apill. Hal itu tentu tidak baik dalam suatu sistem pemerintahan. Sehingga kami sebagai peneliti mencoba memberikan solusi untuk permasalahan ini. Solusi tersebut hadir dalam penelitian ini yaitu dengan memudahkan petugas dalam melakukan survei data lampu apill, mempermudah dalam mengetahui posisi lampu apill yang akhirnya berdampak pada kemudahan dalam penyusunan anggaran lampu apill. Dalam melakukan penelitian, peneliti melakukan beberapa langkah yaitu : mencari koordinat lampu apill dengan tepat, baik secara online maupun alat gps offline. Setelah koordinatnya ditemukan kemudian dimasukkan dalam basis data spasial. Selanjutnya akan diintegrasikan dengan google maps. Selain itu untuk hasil pengujian basis data, kami temukan pada penelitian ini bahwa, basis data yang denormalisasi menunjukkan kecepatan dalam akses daripada basis data normalisasi. Tetapi ukuran basis data denormalisasi lebih besar dari pada basis data normalisasi. Dari serangkaian kegiatan ini, peneliti berharap ketika google maps dibuka, akan muncul titik lampu apill, dan ketika titik lampu apill tersebut diklik, akan muncul detail lampu apill, yang berisikan kondisi lampu apil, letaknya serta koordinatnya.
Decision Support System for Direct Target Cash Recipients Using the AHP and K-Means Method Teguh Sri Pamungkas; Agus Susilo Nugroho; Ichsan Wasiso; Tri Anggoro; Kusrini Kusrini
RESEARCH : Journal of Computer, Information System & Technology Management Vol 3, No 2 (2020)
Publisher : UNIVERSITAS PGRI MADIUN

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25273/research.v3i2.7084

Abstract

In the Covid-19 pandemic situation, the government organized a Direct Cash Assistance as known as BLT for the people who were affected by Covid-19. The nominal amount of BLT received by the public is Rp. 600,000 per month. But in fact, the amount of BLT quota is not proportional to the list of BLT recipients submitted by regional officials, in this case, RT (Rukun Tetangga). So, to find out who is really suitable or appropriate, a decision-making system is needed so that the deposit of the BLT from the government can be right on target in accordance with the criteria set by the government. Stages of the study began with clustering of weights. After that, it is entered into the system to do a decision support process with AHP (Analytical Hierarchy Process). The target of this research is the application that can be used to assist the government in distributing BLT to be right on target. Based on the functional testing of the system, the functions in the system have been succeeded according to plan. This system has successfully applied the K-Means and AHP methods for decision making, to receive direct cash assistance from the government. This system has a 100% accuracy rate. Where the most important criteria in this system are income with a weight of 0.394142515, ownership of a house with a weight of 0.231035138, number of dependents with a weight of 0.190359096, age with a weight of 0.081077616, employment with a weight of 0.058111736, and weight with a weight of 0, 045273898
Co-Authors Donny Yulianto Ichsan Wasiso Kusrini Kusrini Teguh Sri Pamungkas Tri Anggoro