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All Journal Journal The Winners TEKNOLOGI INFORMASI Jurnal Teknologi Informasi dan Ilmu Komputer JAIS (Journal of Applied Intelligent System) Sistemasi: Jurnal Sistem Informasi Jurnal Informatika dan Multimedia SENTIA 2016 J-Dinamika: Jurnal Pengabdian Kepada Masyarakat EDUMATIC: Jurnal Pendidikan Informatika Jurnal Teknologi Informasi dan Terapan (J-TIT) JATI (Jurnal Mahasiswa Teknik Informatika) Abdimasku : Jurnal Pengabdian Masyarakat Jurnal Teknik Ilmu dan Aplikasi Software Development Digital Business Intelligence and Computer Engineering Jurnal INFOTEL Jurnal Informatika Polinema (JIP)
Rudy Ariyanto
Politeknik Negeri Malang
Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Health Professions Industrial & Manufacturing Engineering Library & Information Science Mechanical Engineering Social Sciences Other

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Rancang Bangun Sistem Penggajian Pegawai Politeknik Kediri Kuswinda, Ari; Sofiana, Wahyuni; Adi Pradana, Andika Kurnia; Ariyanto, Rudy
Jurnal Informatika dan Multimedia Vol 5 No 1 (2013): Jurnal Volume 5, No 1 (2013)
Publisher : Teknik Informatika Politeknik Kediri

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Abstract

Sistem Penggajian Pegawai Politeknik Kediri dapat dipergunakan sebagai alat bantu dalam melakukan pengelolaan gaji pegawai dan membantu menyediakan informasi mengenai gaji pegawai dengan mudah dan cepat, karena Sistem Penggajian Pegawai Politeknik Kediri ini berbasis web. Aplikasi Sistem Penggajian Pegawai Politeknik Kediri ini dirancang dan dibuat dengan bahasa pemrograman PHP dan diakses menggunakan web browser melalui jaringan internet. Setelah aplikasi ini dibuat kemudian dilakukan percobaan dan pengkajian melalui beberapa tahapan. Antara lain uji coba aplikasi melalui web browser komputer. Dengan adanya Sistem Penggajian Pegawai Politeknik Kediri ini, akan menjadikan kinerja pegawai Politeknik Kediri lebih efisien. Baik pengelolaan data ataupun penyampaian laporan penggajian pegawai, karena dapat diakses melalui jaringan internet.
Editorial Page and Table of Contents Ariyanto, Rudy
The Winners Vol 19, No 2 (2018): The Winners Vol. 19 No. 2 2018
Publisher : Bina Nusantara University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21512/tw.v19i2.5226

Abstract

MONITORING DAN PROFILING KONDISI INTENSITAS CAHAYA LAMPU DI RUANGAN MENGGUNAKAN METODE FUZZY TSUKAMOTO DAN RASPBERRY PI Ariyanto, Rudy; Rahmad, Cahya; Rozi, Imam Fahrur; Lestari, Vivin Ayu
JURNAL TEKNOLOGI INFORMASI: Teori, Konsep, dan Implementasi JURNAL TEKNOLOGI INFORMASI: Teori, Konsep dan Implementasi Vol 10 No 1 Tahun 2019
Publisher : JURNAL TEKNOLOGI INFORMASI: Teori, Konsep, dan Implementasi

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Abstract

Increasing the use of electricity resources can lead to an energy crisis, so efforts are needed to make efficient use of these resources. Malang State Polytechnic is one of the educational institutions that needs electrical energy to support learning activities. Based on the total number of students more than 10,000 so that the electrical power used daily can be categorized as very large. Along with the development of information technology that is increasingly rapid, it is possible to build an application to monitor the use of electricity resources so that it is expected to minimize the use of electrical energy that is not so important. This study using the Fuzzy Tsukamoto and Raspberry PI methods for monitoring and profilling light conditions. Input variables used are light and time which consists of five linguistic values. This research was implemented in 2 laboratory rooms at Malang State Polytechnic. The Raspberry Pi can monitor the light intensity in a room using two inputs, namely light and time, then the inoutan will be processed using fuzzy inference to get a very low, low, medium, high, and very high output score. So that the light intensity intensity monitoring system in this study can be used to conduct the conditions of the use of electrical energy, especially the power of indoor lighting. Keywords : Fuzzy Tsukamoto, Light, Monitoring, Profilling, Raspberry Pi
Pemanfaatan AES dengan Key Dinamis sebagai Metode Pengamanan Data pada Smart Card Noprianto Noprianto; Vivi Nur Wijayaningrum; Rudy Ariyanto
Sistemasi: Jurnal Sistem Informasi Vol 10, No 3 (2021): Sistemasi: Jurnal Sistem Informasi
Publisher : Program Studi Sistem Informasi Fakultas Teknik dan Ilmu Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (514.538 KB) | DOI: 10.32520/stmsi.v10i3.1413

Abstract

AbstrakTerjadinya pandemi Covid-19 di hampir seluruh belahan dunia, termasuk Indonesia, menjadikan masyarakat mempunyai gaya hidup baru dalam bertransaksi untuk mencegah penularan virus sesuai anjuran Pemerintah. Semua transaksi cenderung dilakukan secara non tunai dengan memanfaatkan teknologi smart card untuk menghindari adanya kontak fisik dengan orang lain. Tingginya penggunaan smart card pada berbagai bidang untuk mendukung aktivitas sehari-hari menyebabkan rawannya terjadi pencurian data di dalam smart card oleh pihak yang tidak bertanggung jawab. AES sebagai algoritma kriptografi dapat digunakan untuk mengamankan data di dalam smart card dengan melakukan enkripsi data sebelum data yang bersifat rahasia tersebut disimpan ke dalam smart card. Untuk meningkatkan keamanan data, diusulkan sebuah mekanisme penggunaan key yang bersifat dinamis dengan memanfaatkan Unique Identifier (UID) setiap smart card. Dengan demikian, key yang digunakan untuk melakukan enkripsi dan dekripsi data dibentuk berdasarkan UID dan berbeda-beda untuk setiap smart card. Hasil pengujian menunjukkan bahwa penggunaan AES dengan key yang bersifat dinamis ini mampu mengamankan data 40 byte plainteks menjadi 48 byte cipherteks, dengan rata-rata waktu komputasi sebesar 71.2 ms untuk penulisan data dan 89.4 ms untuk pembacaan data menggunakan key 128 bit, 70.8 ms untuk penulisan data dan 88 ms untuk pembacaan data menggunakan key 192 bit, dan 72 ms untuk penulisan data dan 88.4 ms untuk pembacaan data menggunakan key 256 bit. Waktu komputasi ini hanya mempunyai selisih sekitar 2 ms dibandingkan dengan penulisan dan pembacaan data tanpa mekanisme enkripsi dan dekripsi.Kata kunci: covid-19, dekripsi, enkripsi, keamanan, kriptografi AbstractThe occurrence of the Covid-19 pandemic in almost all parts of the world, including Indonesia, has made people have a new lifestyle in transactions to prevent transmission of the virus as recommended by the Government. All transactions tend to be carried out in non-cash using smart card technology to avoid physical contact with other people. The high use of smart cards in various fields to support daily activities makes it prone to data theft on the smart card by irresponsible parties. AES as a cryptographic algorithm can be used to secure data on the smart card by encrypting the data before the confidential data is stored on the smart card. To improve data security, a dynamic key usage mechanism is proposed by utilizing the Unique Identifier (UID) of each smart card. Thus, the key used to encrypt and decrypt data is formed based on the UID and is different for each smart card. The test results show that the use of AES with a dynamic key is able to secure 40 bytes of plaintext to 48 bytes of ciphertext, with an average computation time of 71.2 ms for writing data and 89.4 ms for reading data using 128-bit keys, 70.8 ms for writing data and 88 ms for reading data using a 192-bit key, and 72 ms for writing data and 88.4 ms for reading data using a 256-bit key. This computation time only has a difference of about 2 ms compared to writing and reading data without encryption and decryption mechanisms.Keywords: covid-19, decryption, encryption, security, cryptography  dan pembacaan data tanpa mekanisme enkripsi dan dekripsi.
PENGEMBANGAN SISTEM PENDETEKSI BANJIR MENGGUNAKAN FUZZY DENGAN RASPBERRY PI (STUDI KASUS: KABUPATEN SAMPANG) Dwi Puspitasari; Muhammad Thaifururrahman; Rudy Ariyanto
Jurnal Teknologi Informasi dan Terapan Vol 4 No 2 (2017)
Publisher : Jurusan Teknologi Informasi Politeknik Negeri Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25047/jtit.v4i2.65

Abstract

Flooding is a natural disaster that is troubling for the community. Floods occur due to overflowing water from rivers, lakes, or gutters. The flood also caused material losses and even caused casualties. Sampang Regency is one of the districts located on Madura Island which is often flooded.The Raspberry Pi is a mini computer that is capable of performing the same tasks as a computer. The use of the Raspberry Pi as a server is more efficient than using a PC server which in terms of price is very expensive. The Raspberry Pi can also be combined with various sensors because it has 40 pins as a connector. The Parallax Ping sensor is an ultrasonic sensor that can detect the distance of an object by emitting ultrasonic waves with a frequency of 40 KHz and then detecting the reflection. By using an ultrasonic sensor as a water level counter, the height value of the river will be obtained. From this height value, it is then processed using the fuzzy mamdani method to produce a river water level status. This elevation status will then be informed to the public.Based on the test results, this flood detection system uses an ultrasonic sensor as a water level meter that is controlled by the Raspberry Pi. Data from ultrasonic sensors then calculated by fuzzy mamdani method can produce water level status. The water level status is obtained from the height data of the water surface calculated by using an ultrasonic sensor. The water level status is then sent to a cellphone number using a wavecom modem.
5th Hyphotesis Consideration of UTAUT for IOT By Exploiting ACO based Classification Rudy Ariyanto; Vivin Ayu Lestari; Septian Enggar Sukmana
Journal of Applied Intelligent System Vol 5, No 1 (2020): Journal of Applied Intelligent System
Publisher : Universitas Dian Nuswantoro and IndoCEISS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33633/jais.v5i1.3523

Abstract

Internet of things (IoT) application needs to be evaluated to gain better improvement and innovation. The evaluation can be examined from user acceptance. The unified theory of acceptance and use of technology (UTAUT) can be used as a model to identify user acceptance in using technology, including IoT application. However, the ease of use of technology must be included, so the determining of easy of use from negative aspects must be included, so the 5th hypothesis of UTAUT (hindering condition) must be included. Before this hypothesis is formulated and included in evaluation by the user, obtaining data to identify the real condition of the user is performed using forensic analysis and ACO based classification. To evaluate this activity, this 5th hypothesis is measured by reliability and validity test, also hypothesis testing itself.
SISTEM PENDUKUNG KEPUTUSAN SELEKSI MAHASISWA BARU KELAS KERJASAMA DI POLITEKNIK NEGERI MALANG Adevian Fairuz Pratama; Rudy Ariyanto; Yan Watequlis Syaifudin
SENTIA 2016 Vol 8, No 1 (2016)
Publisher : SENTIA 2016

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Abstract

The great numbers of cooperation class participant enthusiasts at State Polytechnic of Malang has given a particular challenge for Polinema to provide an appropriate, effective and efficient decision in its data management for the qualified participants. TOPSIS is a method in which its best chosen alternatives have not only the shortest distance from the positive ideal solution but also the longest distance from the negative ideal solution. The criteria used in this system are based on the survey given to the committee of Admissions namely scholastic aptitude test score, psychotest score, and six other interview criteria i.e. integrity, customer service orientation, achievement orientation, continuous learning, adaptability and impact. The research results revealed that the data of participant who were succeeded and had come to the interview phase were put into the system which in turn calculated the selection results using TOPSIS method, by searching for the furthest distance and the nearest of the positive and negative ideal solution. Participants with the highest preference value (v) ranked the top in this system in accordance with the specified quota.
PENGENDALIAN RUMAH PINTAR MENGGUNAKAN JARINGAN INTERNET BERBASIS RASPBERRY PI Bobby Risaldo Agung Putra; Erfan Rohadi; Rudy Ariyanto
SENTIA 2016 Vol 8, No 1 (2016)
Publisher : SENTIA 2016

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Abstract

A lot of workers have a hectic schedule. They have so many business negotiations and moreover the job is in out of the city they living. Based on the bustle job, it makes the workers do not stay in the house for a long time. Many effects may impact on the house, like thief and power management. Raspberry Pi is a mini computer which is the main device that can be used to control electronic equipments in the house. This controlling can be activated from anywhere, as long as the area has an internet connection, even the IP Address has the same network or not. By using Forward Chaining method, the control does not need to be done manually. This method can control electronic devices that are in the house automatically, using existing facts on the knowledge base. The controlling can be done by a website which can be accessed through smartphones or personal computers. The results of this research can be implemented at houses, schools, offices, from small scale to medium. This system is expected to prevent anything undesirable but can saving more energy significantly.
APLIKASI SISTEM PAKAR DIAGNOSA PENYAKIT KEPALA PRIMER DENGAN METODE CERTAINTY FACTOR Florena Galatia Mahardika; Imam Fahrur Rozi; Rudy Ariyanto
SENTIA 2016 Vol 8, No 1 (2016)
Publisher : SENTIA 2016

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (684.18 KB)

Abstract

Sakit kepala merupakan suatu kondisi yang terdapat rasa sakit di dalam kepala atau sakit di belakang leher atau punggung bagian atas. Pada penelitian ini akan meneliti tentang penyakit kepala primer, dikarenakan jenis sakit kepala ini merupakan jenis penyakit yang paling umum dan sampai dengan 90% orang dewasa mengalami atau akan mengalami jenis sakit kepala ini (dr. Obed Paundralingga,Msc.2015).Penyakit kepala primer ini diklasifikasikan menjadi 4 bagian besar diantaranya Migraine, Tension Type Headache (TTH), Trigeminal autonomic cephalalgias (TACs), dan Gangguan sakit kepala primer lainnya. Penyakit migraine ini terbagi atas banyak sub penyakit, beberapa diantaranya ialah Migraine With Aura, Migraine Without Aura, Chronic Migraine, etc dan penyakit Tension Type Headache (TTH) terbagi atas 3 sub yakni Infrequent episodic tension-type headache,Frequent episodic tension-type headache, Chronic tension-type headache (International Headache Society.2013:636).Pada sistem pakar diagnosa penyakit kepala primer ini menggunakan metode certainty factor untuk perhitungan tingkat kepercayaannya. Certainty factor memiliki nilai kepercayaan user dan nilai kepercyaan dari pakar, dan nilai kepercayaan ini digunakan untuk mendapatkan nilai kepercayaan (CF). Dan setelah mendapatkan nilai kepercayaan (CF), metode ini mengkombinasikan nilai CF berdasarkan penyakitnya, dan hasil diagnosa akan tampil berdasarkan nilai kombinasi terbesar dari masing-masing penyakit.Sistem pakar ini diimplementasikan dalam bentuk website yang bertujuan untuk memudahkan para pengguna mencari informasi atau mendiagnosa penyakit kepala primer. Proses pengujian sistem pakar diagnosa penyakit kepala primer ini adalah dengan membandingkan perhitungan manual, perhitungan sistem dan dari seorang pakar yang nantinya akan menghasilkan keakuratan sistem. Pada penelitian ini menghasilkan keakuratan diagnosa penyakit sebesar 100% dari 10 sampel data .
PENGEMBANGAN SISTEM PENENTUAN KELAYAKAN KPR MENGGUNAKAN METODE SAW PADA BANK SYARIAH BUKOPIN Amalia Amalia; Imam Fahrur Rozi; Rudy Ariyanto
SENTIA 2016 Vol 8, No 1 (2016)
Publisher : SENTIA 2016

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Abstract

PT. Bank Syariah Bukopin memiliki beberapa kegiatan perusahanan salah satunya adalah pemberian Kredit Pemilikan Rumah (KPR). Penilaian kelayakan kredit ditentukan berdasarkan kriteria pada setiap nasabah yang mengajukan pinjaman. Sistem ini digunakan untuk menentukan siapa yang layak mendapat pinjaman berdasarkan ranking pada nasabah  yang  memenuhi  kriteria. Sistem  ini  memproses perankingan  yang akan menyeleksi alternatif terbaik dari sejumlah alternatif. Hasil dari penelitian ini menunjukkan hasil terbaik dari nasabah yang memenuhi kriteria untuk membantu Bank membuat keputusan lebih mudah dan efektif dalam memberikan pinjaman, baik berupa nilai dana yang di dapat dan kandidat nasabah yang mengajukan pinjaman.
Co-Authors Adevian Fairuz Pratama Adhitama, Dodik Widya Amalia Amalia Ananta, Ahmadi Yuli Andika Kurnia Adi Pradana, Andika Kurnia Annisa Puspa Kirana Annisa, Diina Itsna Ardiyanta R, Alfian Ari Kuswinda, Ari Ariadi Retno Tri Hayati Ririd Atiqah Nurul Asri Awan Setiawan Ayu, Tiara Imas Bobby Risaldo Agung Putra Brahmantyo, Haryo Vendy Budiarti, Arry Cahyo, Alfian Dwi Devany Christabella Wijaya Devisia, Vinny Aghistnaa Dewi, Ayunda Prima Dika Rizky Yunianto Dwi Puspitasari Dwi Puspitasari Ed Dien, Habibie Ekojono, Ekojono Erfan Rohadi Ericawati, Fifi Fahrur R, Imam Fitria, Nailil Florena Galatia Mahardika Haksomo, Randy Purbo Hapsari, Ratih Indri Hendra Pradibta Imam Fahrur Rozi Imam Fahrur Rozi Imam Fahrur Rozi Indra Dharma Wijaya, Indra Dharma Irawan, Ferry Buyung Bakhtiar Moch Zawaruddin Abdullah Muhammad Thaifururrahman Nabilah Argyanti Ardyningrum Noprianto, Noprianto Nugraha, Bagas Setya Dian Odhitya Desta Triswidrananta Parningotan, Frans Goklas Pasma, Cadea Mikha Rahmad, Cahya Rahmanto, Anugrah Nur Rakhmat Arianto Retno Damayanti Risca, Inggrid Yanuar Ronilaya, Ferdian Rosa Andrie Asmara Sanjaya, Christine Puspa Saputra, Zainal Ulu Prima Septian Enggar Sukmana Sholiha, Afifah Siradjuddin, Indrazno Sofian Efendi, Fery Toga Aldila Cinderatama Ulla Delfana Rosiani Usman Nurhasan Vivi Nur Wijayaningrum Vivin Ayu Lestari Wahyuni Sofiana, Wahyuni Widito, Sasmojo Yan Watequlis Syaifudin Yoppy Yunhasnawa Yuli Ananta, Ahmadi Yuniari, Nilam Zakaria, Arief Syukron Zulmy Alhamri, Rinanza