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All Journal Conference SENATIK STT Adisutjipto Yogyakarta Angkasa: Jurnal Ilmiah Bidang Teknologi Compiler KACANEGARA Jurnal Pengabdian pada Masyarakat

Agustian, Harliyus

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Author-ID : 842580

Aerospace Engineering Computer Science & IT Education Electrical & Electronics Engineering Industrial & Manufacturing Engineering Mechanical Engineering

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Articles

TWO LEVEL CLUSTERING UNTUK ANALISIS KUESIONER AKADEMIK DI STTA YOGYAKARTA Agustian, Harliyus
Angkasa: Jurnal Ilmiah Bidang Teknologi Vol 10, No 1 (2018): Mei
Publisher : Sekolah Tinggi Teknologi Adisutjipto

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (258.581 KB)

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 Â 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) Agustian, Harliyus; Honggowibowo, Anton Setiawan; Indrianingsih, Yuliani
Compiler Vol 1, No 1 (2012): Mei
Publisher : Sekolah Tinggi Teknologi Adisutjipto Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (699.254 KB)

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.

Introduction to Yogyakarta Icons in The Game of Running Challenge Bonai, Angga Adha Nugroho; Nugraheny, Dwi; Agustian, Harliyus
Compiler Vol 8, No 1 (2019): Mei
Publisher : Sekolah Tinggi Teknologi Adisutjipto Yogyakarta

Yogyakarta's strong culture makes Yogyakarta one of the tourist areas frequented by tourists, both foreign tourists and local tourists. The Visitors come from various groups, for example visitors who come with family or individuals. A game model is needed that can facilitate the child in remembering the tourist icons in Yogyakarta through a Game Running Challenge that is made as attractive as possible and can run on the Windows operating system. The game running challenge application can provide convenience to users who are children aged 6-10 years to get to know and know the most famous icons in Yogyakarta through a game. So that it can be an educational medium that has a pattern of learning by doing learning.

Uniform Resource Locator (URL) Detection Security System Based on Android Sajati, Haruno; Agustian, Harliyus; Murdiansyah, Eko
Compiler Vol 8, No 1 (2019): Mei
Publisher : Sekolah Tinggi Teknologi Adisutjipto Yogyakarta

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.

Pembuatan Profil Produk Untuk Pemasaran Barang Dan Jasa Bagi UP2K-PKK Kelurahan Prawirodirjan Gondomanan Yogyakarta Agustian, Harliyus; Pujiastuti, Asih; Ayuningtyas, Astika; Honggowibowo, Anton Setiawan; Indrianingsih, Yuliani
KACANEGARA Jurnal Pengabdian pada Masyarakat Vol 2, No 2 (2019): Juli
Publisher : Sekolah Tinggi Teknologi Adisutjipto

Family Income Improvement Company (UP2K) - Fostering Family Welfare (PKK) is a form of activity aimed at improving the family economy. The UP2K-PKK in Prawirodirjan brings together 27 players in the goods and services trade. It is possible to increase the marketing of UP2K-PKK participants' products in Prawirodirjan by creating product profiles as a means of offering or promoting. To create a product profile, you can create product photos using a smartphone. Taking pictures to take pictures of products requires photography and photo editing techniques using a smartphone. Improved photographic techniques and photo editing skills of UP2K-PKK participants can be achieved through training support provided by lecturers from the Computer Science Department of the Yogyakarta Adisucipto College of Technology as a form of community service activity.

Application of Product Moment Correlation and Complete Linkage Clustering Methods in Analyzing the Results of the Lecturer Questionnaire Agustian, Harliyus
SENATIK STT Adisutjipto Vol 4 (2018): Transformasi Teknologi untuk Mendukung Ketahanan Nasional [ ISBN 978-602-52742-0-6 ]
Publisher : Sekolah Tinggi Teknologi Adisutjipto

The use of questionnaires is needed by a lecturer to make improvements in the implementation of the teaching process in the classroom, so that it can correct deficiencies in the teaching process that has taken place. The results of the questionnaire cannot show the variables that must be corrected by a lecturer based on the item questionnaire. So we need a grouping of data for each variable in the results of the questionnaire. The clustering approach model cannot directly group a variable into an object to be clustered. This study clustered the variables on a questionnaire with the approach of Complete Lingkage Clustering by calculating the distance of the matrix using the Product Moment Corelation to find correlations for each questionnaire variable, so the cluster results obtained were several optimal clusters with the membership of each cluster variables from the questionnaire. Clustering data for questionnaire variables can be applied properly by applying product moment correlation to calculate the distance matrix. The cluster results can show the components of the questionnaire variables that must be corrected by the lecturer.

Application of Case Based Reasoning for Student Recommendations Drop Out (Case Study: Adisutjipto College of Technology) Agustian, Harliyus
SENATIK STT Adisutjipto Vol 5 (2019): Peran Teknologi untuk Revitalisasi Bandara dan Transportasi Udara [ISBN XXX-XXX-XXXXX-
Publisher : Sekolah Tinggi Teknologi Adisutjipto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28989/senatik.v5i0.372

The data of non-active students is an obstacle in a university because it is counted as a student body, thus affecting the lecturer ratio. For that reason, in order to improve the lecturer ratio, a way is needed in addition to adding lecturers, but also by evaluating the data of students who are not active and active to be filtered back by looking at academic data that is known so that students can continue their studies or should be advised to resign or also drop out . To solve these problems a system model is needed that can recommend students as drop out students and can also provide other recommendations that can be used as evaluations. Case-based reasoning method is used to see new data matching with old data, where active student data to be evaluated will be matched with student data that has been dropped out or received a warning letter, so that it will be used as a new solution. Case-based reasoning methods can help in recommending students to drop out or get a warning letter.

PENDAMPINGAN PEMBUATAN VIDEO STOP MOTION UNTUK PEMASARAN PRODUK UMKM DI PATUK GUNUNGKIDUL Pujiastuti, Asih; Ayuningtyas, Astika; Agustian, Harliyus
KACANEGARA Jurnal Pengabdian pada Masyarakat Vol 3, No 1 (2020): Januari
Publisher : Sekolah Tinggi Teknologi Adisutjipto

By developing the commercialization of micro, small and medium enterprise (MSME) products in Patuk Gunungkidul district, Instagram social media can be used by creating content in the form of stop motion videos. The creation of stop-motion videos requires the knowledge and skills of MSME actors. Help with the production of stop motion videos is therefore necessary to improve the marketing of products. The assistance consists of introducing stop-motion video, photo-taking techniques and posting stop-motion video content on Instagram. The results of mentoring activities revealed that SMEs in Patuk Gunungkidul's sub-district had the skills to create stop-motion videos on their products. In addition, they were also able to post videos of products they had made on Instagram social networks.

Co-Authors Anton Setiawan Honggowibowo Astika AyuningTyas, Astika Bonai, Angga Adha Nugroho Dwi Nugraheny, Dwi Haruno Sajati Murdiansyah, Eko Pujiastuti, Asih Yuliani Indrianingsih

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