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Journal : Journal of Information Technology

 1 
Penerapan Algoritma Nearest Neighbor Untuk Menentukan Rekomendasi Solusi Terhadap Layanan Kantor Teknologi Informasi STIKI Malang Yosua Kristanto; Diah Arifah Prastiningtyas; Meivi Kartikasari
J-INTECH ( Journal of Information and Technology) Vol 7 No 01 (2019): J-INTECH : Journal of Information and Technology
Publisher : LPPM STIKI MALANG

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32664/j-intech.v7i01.408

Abstract

Knowledgebase adalah sebuah sistem yang terdiri dari heuristik sejumlah rule-rule / aturan-aturan yang tersusun secara sistemtis dan spesifik, juga relasi antara data dan aturan / rule dalam pengambilan kesimpulan. Dengan adanya knowledgebase pengetahuan yang dimiliki para pakar akan tetap terjaga dan dapat disalurkan kepada rekan kerja yang lain pada saat seorang pakar sudah tidak lagi bekerja atau berada pada instansi atau divisi terkatit. Untuk mendukung sistem dalam menentukan rekomendasi solusi penanganan terhadap layanan Kantor Teknologi Informasi STIKI Malang digunakan algoritma Nearest Neighbor. Algoritma Nearest Neighbor merupakan teknik sederhana untuk mencari jarak terdekat dari tiap-tiap kasus (cases) yang ada didalam database, dan seberapa mirip ukuran kemiripan (similarity) setiap source case yang ada didalam database dengan target case. Dalam pengujian algoritma Nearest Neighbor untuk menentukan rekomendasi solusi penanganan, dilakukan sampling terhadap data keluhan yang masuk ke KTI STIKI Malang. Penulis berharap dengan diterapkannya algoritma Nearest Neighbor ini dapat memperoleh tingkat akurasi yang cukup kuat.
Sistem Pendukung Keputusan Pemilihan Pondok Pesantren Tahfizhul Qur’An Terbaik Di Malang Menggunakan Metode Analitycal Hierarchy Process Dan Promethee Eko Teguh Prasetyo; Diah Arifah Prastiningtyas; Meivi Kartikasari
J-INTECH ( Journal of Information and Technology) Vol 9 No 02 (2021): J-Intech : Journal of Information and Technology
Publisher : LPPM STIKI MALANG

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32664/j-intech.v9i02.586

Abstract

Islamic boarding schools are one of the educational institutions that provide non-formal education in the Islamic religious field. Many Islamic boarding schools carry out Qur'an memorization programs (tahfizhul quran). Memorizing Qur'an is an activity that is very noble in the eyes of Allah SWT, because the Prophet Sallallaahu'alaihi Wasallam said which means "the best of you are those who study the Qur'an and teach it" (Narrated by Al Bukhari 4639). In Malang, there are many tahfizhul Qur'an Islamic boarding schools which have their respective strengths and weaknesses, thus making some people confused in determining where they or their children will study. On the basis of these problems, a system is needed to support decisions in the selection of a Islamic boarding school in Malang using the Analitycal Hierarchy Process (AHP) and Promethee Methods. The purpose of this system is to be able to assist some people in selecting the Islamic boarding schools with the criteria of the education system, education level, facilities, environmental conditions, the reputation of the boarding school, alumni and fees. The AHP method is used to find the weight of the criteria while the Promethee method is used to rank the Islamic boarding schools. After analyzing, designing, implementing and testing the system, it can be concluded that the system was successfully created using the PHP programming language by implementing the AHP and Promethee methods, so the best suggestions are obtained with the results of calculations on the system same as manual calculations that have been previously calculated.
Sistem Informasi Berbasis Web Untuk Pelaporan Kriminalitas Dan Monitoring Kinerja Pada Seluruh Polsek Di Wilayah Kabupaten Madiun Ruly Anggraeni Ega Pertiwi; Siti Aminah; Arif Tirtana; Meivi Kartikasari
J-INTECH ( Journal of Information and Technology) Vol 10 No 1 (2022): J-Intech : Journal of Information and Technology
Publisher : LPPM STIKI MALANG

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32664/j-intech.v10i1.676

Abstract

In the Madiun, the recording process (incident reporting) carried out by members of the Sector Police still uses printed type and is sent in the form of an official letter. In the police supervision section, the police in this area are still manual, namely recapitulating and printing activities to be reported to the police chief. The purpose of this research is to create a website-based information system that will feature the process of reporting criminal & non-criminal events as well as performance features for police officers who function as supervision and monitoring of police performance. The development method used in this research is a waterfall with the stages of gathering requirements, the design process, implementation, integration or testing and the last is operation. In testing the system, the author uses the Blackbox Testing method in which the functionality of this system will be tested whether it is as expected or not. Based on these tests the authors can draw the conclusion that with this system it can make it easier for police members in the process of reporting criminal and non-criminal events around them and make it easier for the police chief in the process of monitoring or monitoring the performance of his members.
Co-Authors Addin Aditya Arif Tirtana Aulia Agustina Anjani Bagus Bagus Kristomoyo Kristanto Diah Arifah Dyan Bentar Bhaswara Siwi Eko Teguh Prasetyo Erni Yudaningtyas Ersandi Mukhibillah Fitri Nuril Halizah, Cendikia Fitri, Rohmatul Hendy Rama Dhany Hilmi, Aulia Wahida Koko Wahyu Kristanto, Yosua Kurniat Idaman Sukur Telaumbanua Kurniawan, Rahmat Mas, Abdul Ghoffar Mukhlis Amien Nira Radita Pertiwi, Ruly Anggraeni Ega Prasetyo, Eko Teguh Purnomo Budi Santoso Restu Ilham Firmansyah Robby Wahyu Nugroho Ruly Anggraeni Ega Pertiwi Saiful Yahya Siti Aminah SITI AMINAH Suaib, Ronalmanto Syntia Widyayuningtias Putri Listio Tama, Muhammad Mutammam Musthofa Tirtana, Arif Tubagus Mohammad Akhriza Yosua Kristanto