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All Journal PROCESSOR Jurnal Ilmiah Sistem Informasi, Teknologi Informasi dan Sistem Komputer Angkasa: Jurnal Ilmiah Bidang Teknologi Compiler
HARLIYUS AGUSTIAN
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Computer Science & IT

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PENERAPAN SISTEM TERDISTRIBUSI BERBASIS ANDROID PADA APLIKASI PENJURIAN PERTANDINGAN TAEKWONDO HERO WINTOLO; HARLIYUS AGUSTIAN; RIYAN ANDRIYANTO
Jurnal Processor Vol 14 No 1 (2019): Processor
Publisher : LPPM STIKOM Dinamika Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (460.635 KB) | DOI: 10.33998/processor.2019.14.1.570

Abstract

The taekwondo match is led by a referee and three judges in charge of giving scores to athletes who get points. The position of these judges is at the edge of the determined arena. The judging system requires many devices such as joy-stick, in-focus and a computer that each device must be connected to each other by using a wire, this method is felt to be less effective where the position of the cable should not be touched or trampled by the player or referee in the match area. To overcome this, it is necessary to design a judging system that utilizes Android with wireless networks to make it easier to give points. The judging process as described can be improved by utilizing information technology in the form of an Android smart phone for judging by using an input device in the form of an Android phone that serves to enter points that will later be displayed. The test results show that the application are more compatible with the World Taekwondo Competition Rules & Interpretation 2018 compared to the previous tools that have not been used in the latest regulations
TWO LEVEL CLUSTERING UNTUK ANALISIS KUESIONER AKADEMIK DI STTA YOGYAKARTA Harliyus Agustian
Angkasa: Jurnal Ilmiah Bidang Teknologi Vol 10, No 1 (2018): Mei
Publisher : Institut Teknologi Dirgantara Adisutjipto

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (258.581 KB) | DOI: 10.28989/angkasa.v10i1.214

Abstract

Untuk menjaga kualitas dosen, institusi melakukan evaluasi kinerja dosen yang dapat berupa kuesioner akademik dimana kadang hasilnya bersifat subyektif. Untuk itu perlu dilakukan pengecekan konsistensi tingkat kepuasan proses pengajaran dari hasil pengisian kuesioner dengan data akademik lainnya dengan pendekatan clustering. Untuk mengatasi hal tersebut dilakukan penelitian yang bertujuan untuk membangun sebuah aplikasi yang menerapkan pendekatan two level clustering dengan k-means dan average linkage clustering untuk mengetahui tingkat perbedaan kualitas proses belajar mengajar dosen menurut mahasiswa yang telah dikelompokkan berdasarkan data akademis. Model yang digunakan dalam penelitian ini adalah model two level clustering dengan dua tahapan cluster yaitu  metode k-means dan average linkage clustering. Model ini digunakan untuk mengelompokkan data mahasiswa menjadi beberapa cluster berdasarkan data akademis mahasiswa dalam satu matakuliah sehingga data hasil cluster akademis dapat diklaster kembali berdasarkan jawaban kuesioner mahasiswa untuk setiap anggota cluster akademis. Hasil clustering level pertama menunjukkan jumlah cluster yang optimal adalah 2 dengan cluster yang terbentuk adalah mahasiswa dengan kemampuan akademis yang baik dan cukup, sedangkan jumlah cluster yang optimal untuk clustering level kedua adalah 2, dengan cluster yang terbentuk adalah mahasiswa merasa puas, cukup puas atau tidak puas terhadap proses pengajaran di kelas. Hasil interprestasi clustering akademik terhadap tingkat kepuasan mengajar dosen menunjukkan hasil yang sama diantara 2 cluster akademik.
SISTEM PENDUKUNG KEPUTUSANPEMILIHAN GURU TELADAN DENGAN SIMPLE ADDITIVE WEIGHTING METHOD (SAW) (STUDI KASUS DI SMA ANGKASA YOGYAKARTA) Harliyus Agustian; Anton Setiawan Honggowibowo; Yuliani Indrianingsih
Compiler Vol 1, No 1 (2012): Mei
Publisher : Institut Teknologi Dirgantara Adisutjipto

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (699.254 KB) | DOI: 10.28989/compiler.v1i1.4

Abstract

Decision Support System or DSS is a system that helps managers solve problems in a semi-structured. Many of the techniques used to make the DSS, onewith Fuzzy Logic Multi-Attribute Decision Making (MADM). Fuzzy logic  is oneproblem on feelings. Where the degree  of membership is usually representedwith a value of 0 and 1, with Fuzzy Logic is the degree of membership can be represented with a value between 0 and 1, which can be more balanced. High School Angkasa Yogyakarta is a place to educate students thus the students can be useful for Nation.In realizing, the need for good quality teachers who can become role models for students, so that teaching and  learning process will be better. Thus the need assessment conducted by the student or the principal to determine the ability of ateacher, both in the process of teaching or outside the teaching process. In the process of assessment needs to consider several factors than affect teacher performance. These factor related to teaching and learning process outside the process of theaching  anyothers  on the Indonesian Government Regulation Number 74 Year 2008 about the master of pedagogical,competence, personality, social and professional.High School Angkasa in conducting an assessment to each teacher based on the result of the vote.  So , to help assist in making selection for decision support of teacher to be made SPK. DSS will use fuzzy logic techniques that apply MADM SAW method in its calculation. It is expected that DSS can be an alternativein the selection of exeplary teacher in High School Yogyakarta.
Uniform Resource Locator (URL) Detection Security System Based on Android Haruno Sajati; Harliyus Agustian; Eko Murdiansyah
Compiler Vol 8, No 1 (2019): May
Publisher : Institut Teknologi Dirgantara Adisutjipto

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (613.013 KB) | DOI: 10.28989/compiler.v8i1.343

Abstract

The use of the internet, which is currently increasing dramatically, certainly brings the convenience of finding information. The increase in internet usage also eventually gave rise to cybercrime crimes, one of which was by spreading a URL or fake site to steal someone's personal data. The research done is how to build an Android-based application that can detect the security of a URL. The goal is that internet users, especially social media, can avoid cybercrime crime that wants to steal personal data. Making an application uses the Regular Expression method to analyze each line of the Webpage Source Code in the URL based on 8 criteria taken from the World Wide Web Consortium (W3C). The application was then tested with 10 phishing-charged URLs and compared with Kaspersky, McAfee, and AdBlock applications. Based on the results of trials and comparisons, applications that have been made are able to detect 6 or 60% of the 10 URLs. Kaspersky and McAfee applications can detect 70%, while AdBlock only detects 3 or 30% of 10 URLs that contain phishing.
Co-Authors Anton Setiawan Honggowibowo Eko Murdiansyah Haruno Sajati RIYAN ANDRIYANTO Wintolo, Hero Yuliani Indrianingsih