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All Journal Semesta Teknika Emerging Information Science and Technology Prosiding Seminar Nasional Program Pengabdian Masyarakat
Asroni Asroni
Universitas Muhammadiyah Yogyakarta
Agriculture, Biological Sciences & Forestry Chemical Engineering, Chemistry & Bioengineering Computer Science & IT Economics, Econometrics & Finance Engineering Medicine & Pharmacology Social Sciences

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Implementation of Multiclass Support Vector Machine for Classification of New Students Receiving Achievement Scholarships at Universitas Muhammadiyah Yogyakarta Nurfahmi Nurfahmi; Slamet Riyadi; Asroni Asroni
Emerging Information Science and Technology Vol 1, No 3: August 2020
Publisher : Universitas Muhammadiyah Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (660.278 KB) | DOI: 10.18196/eist.v1i3.10627

Abstract

The selection process for scholarship grantees at Universitas Muhammadiyah Yogyakarta (UMY) still utilizes the conventional method, namely Microsoft Excel. It is conducted by inputting all student data, then sorted from the highest to the lowest. Scholarships for prospective new students must be right on the target, meaning that they meet the criteria for students eligible for scholarships. It is intended not to harm other prospective students who should get scholarships. In previous studies, the classification process used many algorithms such as Naive Bayes, C.45, Decision Tree, k-Nearest Neighbor, and Support Vector Machine. The use of the Support Vector Machine algorithm employed a two-class classification. Support Vector Machine and Decision Tree algorithms are two classification methods that can obtain precise and accurate results. This study aims to use the Multiclass Support Vector Machine (LibSVM) algorithm to classify the achievement scholarship rankings for new students. The minimum amount of data used affected the classification results. From the 2015 to 2019 data, the highest amount of data was 2015, obtaining the highest accuracy result of 84.34% using the sigmoid kernel type and the k-fold value of 3. The classification was based on the entry system stages. PMDK stage 2 obtained an accuracy of 81.38%, with the most data amounting to 268 from stage 3.
Applying the Naive Bayes Algorithm to Predict the Student Final Grade Ronald Adrian; Muhammad Aldi Joko Satria Perdana; Asroni Asroni; Slamet Riyadi
Emerging Information Science and Technology Vol 1, No 2: May 2020
Publisher : Universitas Muhammadiyah Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (749.771 KB) | DOI: 10.18196/eist.127

Abstract

The teaching and learning process of the Faculty of Engineering of Universitas Muhammadiyah Yogyakarta has used e-learning intensively. One of the benchmarks in determining students’ final grade is to take the values in e-learning. This study aims to predict students’ final grades by utilizing the data mining process and the Naive Bayes algorithm. This study provides students and lecturers information to enhance the teaching and learning process to improve students’ final grades and maintain satisfactory final grades until the lecture is complete. The research began with the literature study, data collection, data selection, data cleaning, data transformation and implementation with rapidminer and conclusion drawing. Based on the prediction of students’ final grades, one course obtained many unsatisfactory grades with an accuracy rate of 93.75%. Thus, the higher the accuracy value, the closer the predicted final value to the actual value. 
The Development of 3D Survival Simulation Game for Identifying Safe Food and Water in Borneo Forest Yuda Fatah Kurniawan; Reza Giga Isnanda; Asroni Asroni
Emerging Information Science and Technology Vol 1, No 1: February 2020
Publisher : Universitas Muhammadiyah Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (551.704 KB) | DOI: 10.18196/eist.111

Abstract

For adventures who like to explore the forest with diverse type of flora, such as Borneo forest, being lost and have limited supply of food and water become one of the biggest threats for survival. Therefore, it is important to know how to identify food and water that is safe for consumption. Unfortunately, the learning media for survival skills are still heavy on verbal approach, so there is a need for a more practical and visual learning media. To overcome the problem, this research was aimed to develop a survival simulation game that teach the player how to identify safe food and water in Borneo forest. The game was developed in six steps based on Luther’s steps of authoring multimedia. At the end of the development process, the feasibility of the game as learning media is tested using pre-test and post-test method. Statistical analysis using paired t-test showed that the post-test result (M=77.33, SD=5.37) was significantly higher than the pre-test result (M=56.67, SD=8.24) ); t(29)=18.49, p 0.001. This indicates that the game is feasible in teaching the knowledge to the player. In the future, this game can be an alternative and practical solution for teaching survival skill.
Scholarship Acceptance Selection Using Neural Network Method Rammadhany Rammadhany; Slamet Riyadi; Asroni Asroni
Emerging Information Science and Technology Vol 1, No 4: November 2020
Publisher : Universitas Muhammadiyah Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18196/eist.v1i4.16595

Abstract

Muhammadiyah University of Yogyakarta is one of the private tertiary institutions that provides scholarship programs. UMY provides scholarship programs for outstanding students and middle-lower class students. In the process of receiving a scholarship, UMY has two stages, namely registration and selection. In order to obtain a scholarship, students who register must be declared to pass administrative selection and meet the assessment component as a condition for students to be eligible for scholarships. In order to know the scholarship information received by students, data processing is needed, data processing is often referred to as data mining. This writing is done to predict prospective scholarship recipients using the Neural network algorithm. The methodology at this writing begins with searching for literature studies, choosing data mining methods, data collection, data processing, application and testing of models, results and conclusions. The data used at this writing are 2019 general scholarship data, GPA data, and organizational active information data. The attributes used are parental income, GPA, scholarships, qualification and non-qualification, and active organizational information. The caption attribute qualification and non-qualification is used as a label. At this writing the authors get an accuracy of 72.62%..
Advanced Development of a Prayer Schedule Bot Application on Telegram Using PHP Sofran Bahrurozi; Asroni Asroni; Cahya Damarjati
Emerging Information Science and Technology Vol 1, No 4: November 2020
Publisher : Universitas Muhammadiyah Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18196/eist.v1i4.16596

Abstract

A bot is a web robot or an assistant with computer intelligence. The usefulness of a bot is very much starting from the web, messenger, and others. One application possessing a provider to make a bot is a Telegram. The development of technology, such as social media applications, has made them prevalent for the public, including most Muslims. Sometimes, people will be negligent in worshiping when using the application. Therefore, creating a prayer schedule bot is necessary to prevent people from doing so. A framework creation aimed to facilitate the stages of making a bot using a PHP programming language. The bot-making results could be utilized in various countries with the calculation method found in a bot, providing a preference for users. Telegram bot is preferred for smartphone users wanting storage efficiency and having an internet connection. In contrast, the conventional prayer scheduler application does not care much about the storage taken and does not have an internet connection.
Integration and Geographic Visualization of TKA-TPA Data Using Mapbox Bhaskoro Wicaksono; Asroni Asroni; Asep Setiawan
Emerging Information Science and Technology Vol 1, No 4: November 2020
Publisher : Universitas Muhammadiyah Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18196/eist.v1i4.16597

Abstract

TKA-TPA data management is performed conventionally and inaccurately. Accordingly, it may result in considerable data loss. Data collection for TKA-TPA by BADKO Kasihan Bantul Yogyakarta is still carried out conventionally. Therefore, this study supports BADKO TKA-TPA in data management, data reporting, data mapping, and data publication. A Web Geographic Information System (GIS) was created using the CodeIgniter framework with the Hypertext Preprocessor (PHP) programming language, MapBox on the Maps API Service, MySQL database, and the SDLC with the prototype method. The study result is a web-based GIS application. This GIS application has been successfully built and can be used by BADKO TKA-TPA Kasihan Bantul Yogyakarta for its data management and mapping system.
Prediction of Student Study Period Based on Admission Pathways Using Support Vector Machine Algorithm Cut Maya Putri Audilla; Slamet Riyadi; Asroni Asroni
Emerging Information Science and Technology Vol 1, No 4: November 2020
Publisher : Universitas Muhammadiyah Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18196/eist.v1i4.16598

Abstract

In Indonesia, the quality of a university is measured based on the accreditation by BAN-PT (National Accreditation Board for Higher Education). BAN-PT possesses several main standards in measuring the quality of a university, one of which is students and graduates. The accuracy of the student study period is a crucial issue because it is the basis for the effectiveness of a university. Prediction is a process of systematically estimating something most likely to happen in the future based on past and present information to minimize the error (difference between something that happens and the forecast results). One technique used to make predictions is data mining. Universitas Muhammadiyah Yogyakarta (UMY), as one of the best private universities in Indonesia, must maintain the quality of its students. Student admission at UMY is an internal selection carried out through several methods: student achievement and academic ability tests. The Support Vector Machine (SVM) method is part of the prediction method. Analysis of the SVM prediction utilized the historical data from alumni of the Faculty of Law of UMY in the graduation year of 2015-2019. The application of SVM has provided better accuracy, precision, and recall results. The best kernel accuracy level was the SVM RBF kernel with an optimum C value of 10 and a gamma value of 0.4 with an accuracy of 96.00%.
Pelatihan Perawatan Jenazah Sesuai Sunah Bagi Masyarakat Karangasem, Sendangtirto, Berbah, Sleman Asep Setiawan; Asroni Asroni; Mufaddal Al Baqir
Prosiding Seminar Nasional Program Pengabdian Masyarakat 2022: 6. Digitalisasi Syiar Islam
Publisher : Universitas Muhammadiyah Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18196/ppm.56.917

Abstract

Perbaikan Sistem Informasi Penerimaan Pegawai Muhammadiyah PDM Sleman Asroni Asroni; Suwadi Suwadi; Slamet Riyadi; Cahya Damarjati; Abyiyansyah Meidy Laksono; Nasrul Saefullah; Abdul Eriawan Nahar; Fadhan Anwarodin
Prosiding Seminar Nasional Program Pengabdian Masyarakat 2022: 4. Kapasitas Daya Saing Usaha Mikro, Kecil, dan Menengah (UMKM) dan Badan Usaha Milik Desa (BU
Publisher : Universitas Muhammadiyah Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18196/ppm.54.984

Abstract

Pelaksanaan Program Pengabdian Masyarakat berbasis Persyarikatan Muhammadiyah (PPM Muh) UMY memiliki tujuan: 1). Mengembangkan PCM/ PRM/ PRA menjadi mandiri secara ekonomi dan sosial; 2). Membantu menciptakan ketentraman, dan kenyamanan dalam kehidupan bermasyarakat; serta 3). Meningkatkan keterampilan berpikir, membaca, dan menulis atau keterampilan lain yang dibutuhkan (softskill dan hardskill) bagi anggota PCM/PRM/PRA. Pada pelaksanaan pengabdian ini berawal dari permasalahan PDM Sleman di dalam membantu pelaksanaan penerimaan pegawai guru dan karyawan Muhammadiyah pada tingkat Sekolah Dasar (SD), Sekolah Menengah Pertama (SMP), Sekolah Menengah Atas (SMA), dan Sekolah Menengah Kejuruan (SMK) dari cara yang masih konvensional yang masih banyak membutuhkan proses manual dan ditambah adanya wabah Covid-19. Dari permasalahan tersebut, mulai dilakukan inisialisasi proses secara online dengan menggunakan website. Pelaksanaan pengabdian saat ini diusulkan untuk melakukan perbaikan konten dan alur proses untuk aplikasi yang lebih baik terutama untuk manajemen dari sisi pengguna admin yang pada aplikasi sebelumnya masih banyak sekali harus digunakan perubahan langsung ke sumber kode program diperbaiki dengan model pembuatan antarmuka (interface) untuk fitur admin. Pelaksanaan penerimaan pegawai di PDM Sleman ini membantu PCM/PRM/PRA terutama dari segi rekruitmen Sumber Daya Manusia (SDM) dan peningkatan keterampilan baik softskill dan hardskill. Dengan baiknya SDM, maka akan berkontribusi kelancaran pelaksanaan rekruitmen guru dan karyawan secara efisien dan cepat
Pembuatan Aplikasi Sistem Informasi PMA PAMDES Tirtosari Sendangsari Minggir Sleman Asroni Asroni; Asep Setiawan; Marsa Sefta Lesmana
Prosiding Seminar Nasional Program Pengabdian Masyarakat 2022: 4. Kapasitas Daya Saing Usaha Mikro, Kecil, dan Menengah (UMKM) dan Badan Usaha Milik Desa (BU
Publisher : Universitas Muhammadiyah Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18196/ppm.54.985

Abstract

Pelaksanaan Kuliah Kerja Nyata Pembelajaran dan Pemberdayaan Masyarakat (KKN PPM) adalah wujud dari pada usaha nyata pihak universitas dan masyarakat yang bersinergi untuk memajukan kehidupan yang lebih baik dan bermartabat. Tujuan KKN PPM adalah mempertahankan mata kuliah KKN menjadi mata kuliah wajib pada Perguruan Tinggi di Indonesia; mengubah pelaksanaan program KKN-PPM dari paradigma pembangunan menjadi paradigma pemberdayaan; dan mengembangkan tema-tema KKN- PPM dengan konsep co-creation, co-financing, dan co-benefit. Hilirisasi hasil-hasil riset dosen yang dapat diterapkan kepada masyarakat melalui program KKN-PPM serta mengembangkan tema-tema KKN-PPM yang bermitra dengan pemerintah dan dunia usaha. Pelaksanaa KKN PPM ini mencermati berbagai masalah yang ada di mitra, yaitu softskill serta BUMDes Sari mumpuni dalam menjalankan usahanya untuk mecukupi kebutuhan warga dalam masalah air bersih di PMA PAMDES Tirtosari. Permasalahan mitra terkait monitoring pelanggan air besih di BUMDes Sari Mumpuni yang belum ter-update secara online. Pengabdian ini akan fokus pada pembuatan sistem informasi yang bisa diakses secara online oleh semua pengguna terkait aktifitas BUMDes. Dengan proses online, diharapakan ada bentuk manajemen yang baik dan transparansi pengelolaan untuk melakukan perbaikan-perbaikan dalam menentukan kebijakan untuk memajukan secara terukur dan baik
Co-Authors Abdul Eriawan Nahar Abyiyansyah Meidy Laksono Ade Prasetyo Ramadhan Andhika Putra Setianto Aprilia Kurnianti Aprilia Kurniawati Arifia Kasastra R Asep Setiawan Badrahini Masajeng Respati Bhaskoro Wicaksono Cahya Damarjati Cut Maya Putri Audilla Dita Kurniasari Eko Prasetyo Fadhan Anwarodin Haris Setyawan Haris Setyawan Hidayatul Fitri Lusiana Ning Saputri Marsa Sefta Lesmana Minhajuddin K. Abdurrahim Mufaddal Al Baqir Muhammad Aldi Joko Satria Perdana Muhammad Alfadha Termahadi Mukhtar Hanafi Nadiyah Maharty Ali Nasrul Saefullah Nurfahmi Nurfahmi Pascal Pahlevi Pasha Rammadhany Rammadhany Reza Giga Isnanda Rohmana Zulfa Bakhtiar Ronald Adrian Samsul Arifin Slamet Riyadi Slamet Riyadi Sofran Bahrurozi Suparman Suwadi Suwadi Teuku Syauqi Maulana Yuda Fatah Kurniawan