Garuda - Garba Rujukan Digital

A gamification framework for research productivity enhancement on the higher education institution Ahmad Sanmorino; Luis Marnisah; Hastha Sunardi
International Journal of Evaluation and Research in Education (IJERE) Vol 10, No 2: June 2021
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijere.v10i2.21694

The condition of research productivity in higher education institutions in Indonesia is still not ideal. Departing from this problem, this paper aims to contribute in the form of a framework used as the main alternative in optimizing research productivity, including the number of publications in higher education institutions. The mechanism proposed is a framework that uses designs derived from games or better known as gamification. Based on the preliminary testing of the proposed framework, it shows that each construct of the framework has a positive impact on research productivity enhancement as the final goal. One of the constructs is Network has a positive impact of 0.415 on Behavior, the Behavior has a positive impact of 0.403 on research productivity enhancement. This also applies to other constructs. Except for the Points that donot have good reliability, it will become homework in future studies.

The Toolkit of Success Rate Calculation of Broiler Harvest Ahmad Sanmorino; Rendra Gustriansyah; Terttiaavini Terttiaavini; Isabella Isabella
TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 15, No 4: December 2017
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/telkomnika.v15i4.6744

Failed in the harvest should be avoided by the owners of broiler farms. Various ways are done to make the harvest successful and make a profit. Preparations made before the period of broiler development can be done optimally, with the hope that the harvest is successful. But the problem, on the field in fact not as smooth as had been planned at the beginning or before the development period. There is always a lack or inappropriate so that the harvest is not optimal or even harvest failure. Based on the background that has been described, we tried to create a toolkit that can be used to calculate success rate of the broiler harvest. With this toolkit, broiler farm owners are expected to have a guide and can make the right move in the period of broiler development. To calculate the success rate of broiler harvest, we used a model based on the performance index calculation. Toolkit that created running on local network environment using an Apache web server. The Toolkit uses JavaScript library to display the calculation results in the form of charts that are easier to understand. Based on the results of testing that has been done, this toolkit can perform calculations in a relatively short time. Can present the results of calculations with accurate information. The accuracy of success rate calculation toolkit reached 90%. It is obtained by comparing the performance index and the total weight of broiler that obtained when harvested.

The design of smart notification on android gadget for academic announcement Agustina Heryati; Evi Yulianti; Faradillah Faradillah; Dewi Sartika; Dhamayanti Dhamayanti; Imelda Saluza; Ahmad Sanmorino
TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 17, No 1: February 2019
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/telkomnika.v17i1.10245

In this article, we try to design the architecture of a smart notification system using an Android gadget for academic notification in college. Academic notification in colleges now utilizes bulletin boards and online media such as websites or social media. The problem faced is the high cost and resources required to deliver the academic notification. Another problem is whether the information delivered can be right to the students who need it. We proposed the architecture of a smart notification system that can reduce the cost, and the information delivered can be right on target to the students in need.

DDOS ATTACK DETECTION SIMULATION AND HANDLING MECHANISM Ahmad Sanmorino; Setiadi Yazid
Jurnal Ilmu Komputer dan Informasi Vol 6, No 2 (2013): Jurnal Ilmu Komputer dan Informasi (Journal of Computer Science and Information)
Publisher : Faculty of Computer Science - Universitas Indonesia

In this study we discuss how to handle DDoS attack that coming from the attacker by using detection method and handling mechanism. Detection perform by comparing number of packets and number of flow. Whereas handling mechanism perform by limiting or drop the packets that detected as a DDoS attack. The study begins with simulation on real network, which aims to get the real traffic data. Then, dump traffic data obtained from the simulation used for detection method on our prototype system called DASHM (DDoS Attack Simulation and Handling Mechanism). From the result of experiment that has been conducted, the proposed method successfully detect DDoS attack and handle the incoming packet sent by attacker.

Clustering Batik Images using Fuzzy C-Means Algorithm Based on Log-Average Luminance Ahmad Sanmorino
Computer Engineering and Applications Journal (ComEngApp) June 2012
Publisher : Computer Engineering and Applications Journal (ComEngApp)

Show Abstract | Download Original | Original Source | Check in Google Scholar

Batik is a fabric or clothes that are made with a special staining technique called wax-resist dyeing and is one of the cultural heritage which has high artistic value. In order to improve the efficiency and give better semantic to the image, some researchers apply clustering algorithm for managing images before they can be retrieved. Image clustering is a process of grouping images based on their similarity. In this paper we attempt to provide an alternative method of grouping batik image using fuzzy c-means (FCM) algorithm based on log-average luminance of the batik. FCM clustering algorithm is an algorithm that works using fuzzy models that allow all data from all cluster members are formed with different degrees of membership between 0 and 1. Log-average luminance (LAL) is the average value of the lighting in an image. We can compare different image lighting from one image to another using LAL. From the experiments that have been made, it can be concluded that fuzzy c-means algorithm can be used for batik image clustering based on log-average luminance of each image possessed.

PENGENALAN TEKNOLOGI BERBASIS WEB UNTUK MENDUKUNG USAHA PENJUALAN TANAH KAVLINGAN Ahmad Sanmorino
Jurnal Abdimas Mandiri Vol 2, No 2
Publisher : UNIVERSITAS INDO GLOBAL MANDIRI

Perkembangan dibidang teknologi dan ilmu pengetahuan membuat organisasi harus semakin peka dalam peningkatan kualitas sumber daya yang dimilikinya. Oleh karena itu untuk menyikapi fenomena tersebut perlu adanya tindaklanjut dari organisasi sebagai upaya agar kemampuan yang dimiliki karyawannya tidak statis akan tetapi berkembang secara dinamis. Salah satunya yaitu dengan adanya Pengenalan teknologi berbasis web untuk mendukung usaha penjualan tanah kavlingan di Kelurahan Muara Dua Kota Prabumulih. Kegiatan pelatihan ini menjelaskan tentang manfaat penggunaan teknologi berbasis Web untuk mendukung usaha penjualan tanah kavlingan. Tujuan kegiatan ini adalah memberikan pemahaman kepada para pekerja pada usaha penjualan tanah kavlingan di Kelurahan Muara Dua Kota Prabumulih tentang penggunaan teknologi berbasis web untuk meningkatkan penjualan tanah kavlingan di Kelurahan Muara Dua Kota Prabumulih.Kata kunci: Teknologi, web, penjualan, tanah kavlingan

PEMANFAATAN TEKNOLOGI INFORMASI BERUPA WEB BASED APPLICATION PADA SEKTOR USAHA KECIL DAN MENENGAH Ahmad Sanmorino
Jurnal Abdimas Mandiri Vol 1, No 1
Publisher : UNIVERSITAS INDO GLOBAL MANDIRI

Perkembangan dibidang teknologi dan ilmu pengetahuan membuat sektor usah harus semakin peka dalam peningkatan kualitas sumber daya yang dimilikinya. Oleh karena itu untuk menyikapi fenomena tersebut perlu adanya tindak lanjut dari perusahaan sebagai upaya agar kemampuan yang dimiliki karyawannya tidak statis akan tetapi berkembang secara dinamis. Salah satunya dengan pemanfaatan teknologi informasi berupa aplikasi berbasis web. Langkah awal pemanfaatan teknologi informasi ini bisa dimulai denganpemberian pelatihan penggunaan aplikasi kepada para karyawan suatu perusahaan. Adapun yang menjadi tempat pelatihan pemanfaatan teknologi informasi pada kegiatan pengabdian masyarakat ini adalah sektor usaha kecil dan menengah yaitu perusahaan air bersih di Kelurahan Muara Dua Kota Prabumulih.Kegiatan pelatihan ini menjelaskan tentang manfaat penggunaan aplikasi pengolahan data berbasis web pada bidang usaha air bersih. Tujuan kegiatan ini adalah memberikan pemahaman kepada para pekerja pada usaha air bersih di Kelurahan Muara Dua Kota Prabumulih tentang pemanfaatanaplikasi pengolahan data berbasis web untuk meningkatkan produktivitas dan efisiensi pengolahan air bersih.Berdasarkan pelatihan yang telah dilakukan, para pekerja sangat antusias dan tertarik untuk segera memanfaatkan teknologi informasi. Kata kunci: Pemanfaatan, Teknologi Informasi, Sektor Usaha

Clustering Batik Images using Fuzzy C-Means Algorithm Based on Log-Average Luminance Ahmad Sanmorino
Computer Engineering and Applications Journal Vol 1 No 1 (2012)
Publisher : Universitas Sriwijaya

Batik is a fabric or clothes that are made with a special staining technique called wax-resist dyeing and is one of the cultural heritage which has high artistic value. In order to improve the efficiency and give better semantic to the image, some researchers apply clustering algorithm for managing images before they can be retrieved. Image clustering is a process of grouping images based on their similarity. In this paper we attempt to provide an alternative method of grouping batik image using fuzzy c-means (FCM) algorithm based on log-average luminance of the batik. FCM clustering algorithm is an algorithm that works using fuzzy models that allow all data from all cluster members are formed with different degrees of membership between 0 and 1. Log-average luminance (LAL) is the average value of the lighting in an image. We can compare different image lighting from one image to another using LAL. From the experiments that have been made, it can be concluded that fuzzy c-means algorithm can be used for batik image clustering based on log-average luminance of each image possessed.

The Design a System of Retention and Control on Broiler Farms Based on the Flow of Data Ahmad Sanmorino; Isabella Isabella
Proceeding of the Electrical Engineering Computer Science and Informatics Vol 4: EECSI 2017
Publisher : IAES Indonesia Section

In this study, we tried to design a system of retention and control on broiler farms in Prabumulih based on the data flow between processes, external entity and data storage. The purpose of this study was to find the best design that can be immediately implemented in the form of information systems. The design submitted is expected to accelerate the process that occurs between entities connected. Minimizing the possibility of error, which in turn can increase the production of broiler when the harvest is done.

Clustering Batik Images using Fuzzy C-Means Algorithm Based on Log-Average Luminance Ahmad Sanmorino
Computer Engineering and Applications Journal (ComEngApp) June 2012
Publisher : Computer Engineering and Applications Journal (ComEngApp)

Show Abstract | Download Original | Original Source | Check in Google Scholar

Batik is a fabric or clothes that are made with a special staining technique called wax-resist dyeing and is one of the cultural heritage which has high artistic value. In order to improve the efficiency and give better semantic to the image, some researchers apply clustering algorithm for managing images before they can be retrieved. Image clustering is a process of grouping images based on their similarity. In this paper we attempt to provide an alternative method of grouping batik image using fuzzy c-means (FCM) algorithm based on log-average luminance of the batik. FCM clustering algorithm is an algorithm that works using fuzzy models that allow all data from all cluster members are formed with different degrees of membership between 0 and 1. Log-average luminance (LAL) is the average value of the lighting in an image. We can compare different image lighting from one image to another using LAL. From the experiments that have been made, it can be concluded that fuzzy c-means algorithm can be used for batik image clustering based on log-average luminance of each image possessed.

Title

Found 35 Documents
Search

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Title Search

Found 35 Documents Search

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Title

Found 35 Documents
Search