cover
Contact Name
Muhammad Taufiq Nuruzzaman
Contact Email
m.taufiq@uin-suka.ac.id
Phone
+6287708181179
Journal Mail Official
jiska@uin-suka.ac.id
Editorial Address
Teknik Informatika, Fak. Sains dan Teknologi, UIN Sunan Kalijaga Jln. Marsda Adisucipto No 1 55281 Yogyakarta
Location
Kab. sleman,
Daerah istimewa yogyakarta
INDONESIA
JISKa (Jurnal Informatika Sunan Kalijaga)
ISSN : 25275836     EISSN : 25280074     DOI : -
JISKa (Jurnal Informatika Sunan Kalijaga) adalah jurnal yang mencoba untuk mempelajari dan mengembangkan konsep Integrasi dan Interkoneksi Agama dan Informatika yang diterbitkan oleh Departemen Teknik Informasi UIN Sunan Kalijaga Yogyakarta. JISKa menyediakan forum bagi para dosen, peneliti, mahasiswa dan praktisi untuk menerbitkan artikel penelitiannya, mengkaji artikel dari para kontributor, dan teknologi baru yang berkaitan dengan informatika dari berbagai disiplin ilmu
Arjuna Subject : -
Articles 7 Documents
Search results for , issue "Vol. 4 No. 2 (2019): September 2019" : 7 Documents clear
Rancang Bangun Sistem Informasi Penyediaan Air Minum dan Sanitasi Berbasis Masyarakat (PAMSIMAS) dengan Metode Extreme Programming Maria Ulfa Siregar; Hamid Musafa
JISKA (Jurnal Informatika Sunan Kalijaga) Vol. 4 No. 2 (2019): September 2019
Publisher : UIN Sunan Kalijaga Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (516.967 KB) | DOI: 10.14421/jiska.2019.42-02

Abstract

Pamsimas or Penyediaan Air Minum dan Sanitasi Berbasis Masyarakat, is a government program for rural communities that greatly helps the village government to provide water and sanitation needs for society. Therefore the management of Pamsimas becomes very necessary and important. But unfortunately the management of Pamsimas at the village level still uses manual methods. It really requires a lot of time and energy, given the large amount of data that must be managed in Pamsimas. This research has the purpose of creating a digital system that is able to makes management process of Pamsimas more effective and efficient of time, effort and costs, with web base PHP programming language and MySQL database. The development method used in this study is extreme programming method. This method was chosen because it has good feedback or communication between the developer and client. Furthermore this methods whose stages are simple and also more flexible to the changes that occur. The results of this research are a web-based digital information system that could make the process of managing data in Pamsimas more effective and efficient, because this system is able to make reports and calculate bills automatically. So that the previous time spent by many managers becomes less, and because of that the energy spent is more effective.Keywords : Web Application, Information System, PAM System, PAM System Information, Laravel, Extreme Programming.
Sistem Pakar Diagnosa Penyakit Pohon Karet dengan Metode Certainty Factor Anita Sindar R M Sinaga
JISKA (Jurnal Informatika Sunan Kalijaga) Vol. 4 No. 2 (2019): September 2019
Publisher : UIN Sunan Kalijaga Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (13.347 KB) | DOI: 10.14421/jiska.2019.42-03

Abstract

The low production of smallholder rubber is caused by various factors, one of the causes is interference from various diseases. Building a system (computer) that is intelligent to analyze problems, observe the work system of an expert or expert. Expertise comes from the development of knowledge of someone who is competent and directly provides instructions to solve a problem. Certainty Factor is a method to prove whether a fact is certain or not certain in the form of metrics that are usually used in expert systems. This method is very suitable for expert systems that diagnose something that is uncertain. To apply the Certainty Factor method to the expert system, data is needed that will be input into the system, processed and display the results of the diagnosis of rubber plant diseases.  Input: rubber plant disease type data and disease symptom data. Process: carry out analysis and calculation to get the diagnosis results using the Certainty Factor method. Output: information on the diagnosis of rubber plant diseases and percentage of confidence level in the diagnosis results in accordance with the rules of the Certainty Factor method. Keywords : Rubber Disease, Symptoms Diagnosis, Value Combination, Certainty Factor   
Metode Iterasi Tiga Langkah untuk Menyelesaikan Persamaan NonLinear dengan Menggunakan Matlab Deasy Wahyuni; Elisawati Elisawati
JISKA (Jurnal Informatika Sunan Kalijaga) Vol. 4 No. 2 (2019): September 2019
Publisher : UIN Sunan Kalijaga Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (355.022 KB) | DOI: 10.14421/jiska.2019.42-05

Abstract

Newton method is one of the most frequently used methods to find solutions to the roots of nonlinear equations. Along with the development of science, Newton's method has undergone various modifications. One of them is the hasanov method and the newton method variant (vmn), with a higher order of convergence. In this journal focuses on the three-step iteration method in which the order of convergence is higher than the three methods. To find the convergence order of the three-step iteration method requires a program that can support the analytical results of both methods. One of them using the help of the matlab program. Which will then be compared with numerical simulations also using the matlab program.  Keywords : newton method, newton method variant, Hasanov Method and order of convergence
Aplikasi Tata Tertib Berdasarkan Poin untuk Pelanggaran Siswa pada Sekolah Menengah Atas Pulla Pandika Widodo
JISKA (Jurnal Informatika Sunan Kalijaga) Vol. 4 No. 2 (2019): September 2019
Publisher : UIN Sunan Kalijaga Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (545.779 KB) | DOI: 10.14421/jiska.2019.42-04

Abstract

Schools are A tool to gain formal education. Schools have rules that must be followed, these rules are called the Code of Conduct. This code of conduct is binding and has sanctions based on points for each violation. Each student is given a book that contains school rules that must be followed. If a violation is committed by a student, the teacher who processes it will mark the violation committed in the code of conduct book. This book is held by each student, of course this is very risky, if this book is lost it can be difficult for the teacher who will process other student violations if the student commits another violation. So because it is designed an application that can manage this order so that no longer need the code of conduct held by each student. Each violation will be input directly by the teacher who processes it into the application and the number of points will increase along with the number of violations committed by students
Metode HLF untuk Deteksi Objek Terapung pada Permukaan Sungai Martapura Nahdi Saubari; Mukhaimy Gazali; Rudy Ansari
JISKA (Jurnal Informatika Sunan Kalijaga) Vol. 4 No. 2 (2019): September 2019
Publisher : UIN Sunan Kalijaga Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (499.596 KB) | DOI: 10.14421/jiska.2019.42-06

Abstract

Haar Like Feature (HLF) merupakan metode deteksi objek terbaru yang dapat menghasilkan kualitas visual yang lebih baik. Bila dibandingkan dengan metode deteksi objek lainnya, HLF cenderung lebih sering digunakan untuk mendeteksi wajah manusia, dan baru beberapa kali digunakan untuk deteksi objek bergerak. Objek pada permukaan sungai memiliki kecenderungan mengapung, bergerak, rata-rata berupa transportasi air maupun objek lainnya seperti sampah yang dapat mengganggu perairan sungai. Penelitian ini bertujuan menerapkan metode HLF untuk deteksi objek terapung pada permukaan sungai Martapura dengan menggunakan dua kamera yang memiliki kualitas hasil citra yang berbeda. Objek terapung yang terdeteksi dapat menjadi data yang berguna untuk  menjaga keamanan perairan sungai. Citra pertama diambil menggunakan kamera smartphone, spesifikasi 16 Megapixel, sedangkan citra kedua menggunakan kamera mirrorless, spesifikasi 24 Megapixel. Hasil penelitian menunjukkan bahwa deteksi objek terapung dengan menggunakan kamera smartphone, memiliki persentase keberhasilan 0%. Deteksi objek dengan menggunakan kamera mirrorlesss memiliki keberhasilan 65,5%. Kualitas hasil pixel pada citra sangat berpengaruh terhadap tingkat keberhasilan metode HLF untuk deteksi objek terapung pada sungai Martapura.
Analisa Clustering pada Data Pelanggaran Lalu Lintas di Pengadilan Negeri Dumai Dengan Menggunakan Metode K-Means Elisawati Elisawati; Deasy Wahyuni; Adi Arianto
JISKA (Jurnal Informatika Sunan Kalijaga) Vol. 4 No. 2 (2019): September 2019
Publisher : UIN Sunan Kalijaga Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (660.852 KB) | DOI: 10.14421/jiska.2019.42-01

Abstract

The order of traffic on the road is very important for motorists on the highway, the lack of awareness of motor vehicle users and the poor drivers of traffic discipline make the level of traffic violations in driving on the highway always increase so that the number of ticket data received by the Dumai District Court. This research was conducted to analyze and classify data violations using the k-means method to facilitate knowing the types of violations that are often violated by vehicle users. The attributes to be analyzed are the types of violations and types of vehicles. The test was carried out using the Rapidminer 5 application where the data tested was data from the Dumai District Court on December 2017, as many as 616 violations. Central cluster data consists of 3 clusters, namely C1 = Many, C2 = moderate and C3 = few who commit traffic violations. So the results of the data obtained where C1 produces 1 data, C2 gets as much as 4 data and C3 as many as 7 data. Where the type of violation that is often violated is the type of violation that does not use a helmet and the type of vehicle is a motorcycle. From the results of this study can be used or can be followed up with the holding of socialization to reduce the number of traffic violations. Keywords: Clustering Analysis, K-Means, Traffic Violations, Rapidminer
Aplikasi Metode Simple Additive Weighting (SAW) Dalam Pengembangan Sistem Pencarian Toko Batik Berbasis Android Hafid Iqbalgis; Nurochman Nurochman
JISKA (Jurnal Informatika Sunan Kalijaga) Vol. 4 No. 2 (2019): September 2019
Publisher : UIN Sunan Kalijaga Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1290.713 KB) | DOI: 10.14421/jiska.2019.42-07

Abstract

Informasi merupakan hal yang sangat diperlukan pada saat ini. Salah satu bentuk informasi adalah simbol informasi publik. Peneliti melakukan penilitian untuk mencari toko batik dengan menggunakan metode Simple Additive Weighting dengan menggunakan berbagai kriteria. Penelitian yang akan dilakukan adalah membuat suatu sistem pendukung keputusan untuk memilih toko batik dengan menggunakan metode Simple Additive Weighting. Dalam perhitungannya, kriteria yang dipertimbangkan adalah jarak, harga, produk, kemudahan transportasi, kenyamann, kebersihan dan keamanan toko. Hasil penelitian ini menunjukkan bahwa sistem yang dibangun mampu memberikan rekomendasi toko batik sesuai dengan kriteria yang inginkan.Kata Kunci : Android, Sistem Pendukung Keputusan, Simple Additive  Weighting, Extreme Programming.

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