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All Journal Transmisi: Jurnal Ilmiah Teknik Elektro Techno.Com: Jurnal Teknologi Informasi Jurnal Simetris WIDYA TEKNIKA Sinergi Jurnal Teknologi Informasi dan Ilmu Komputer Jurnal Teknologi dan Sistem Komputer JOIV : International Journal on Informatics Visualization Sinkron : Jurnal dan Penelitian Teknik Informatika Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Journal of Information Technology and Computer Science (JOINTECS) Jurnal Ilmiah FIFO JURNAL TEKNIK INFORMATIKA DAN SISTEM INFORMASI J I M P - Jurnal Informatika Merdeka Pasuruan Conference on Innovation and Application of Science and Technology (CIASTECH) JOURNAL OF SCIENCE AND APPLIED ENGINEERING Applied Technology and Computing Science Journal Jurnal Aplikasi Dan Inovasi Ipteks SOLIDITAS Jurnal Pendidikan Manajemen Perkantoran (JPManper) JATI (Jurnal Mahasiswa Teknik Informatika) International Journal of Electrical, Energy and Power System Engineering (IJEEPSE) Aiti: Jurnal Teknologi Informasi JASEE Journal of Application and Science on Electrical Engineering JEEE-U (Journal of Electrical and Electronic Engineering-UMSIDA) Jurnal Komputer, Informasi dan Teknologi Jurnal Ilmiah Teknik Elektro Prosidia Widya Saintek Jurnal Vokasi Indonesia Journal of Indonesian Tourism and Policy Studies

Istiadi

Program Studi S1 Teknik Informatika Fakultas Teknik, Universitas Widyagama Malang

Author-ID : 207477

Aerospace Engineering Agriculture, Biological Sciences & Forestry Humanities Automotive Engineering 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 Environmental Science Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Mathematics Mechanical Engineering Social Sciences Transportation Other

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Metode AHP Dan SAW Dalam Penentuan Penutupan Ruas Jalan Sebagai Upaya Pencegahan Penyebaran Covid-19 Sandi probo sarjono; Istiadi Istiadi; Fitri Marisa
Jurnal Ilmiah FIFO Vol 13, No 2 (2021)
Publisher : Fakultas Ilmu Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/fifo.2021.v13i2.002

The President of the Republic of Indonesia issued Presidential Decree Number 7 of 2020 concerning the Task Force for the Acceleration of Handling of Corona Virus Desease 2019. This decision was followed up by all Regional Leaders as the basis for the formation of a Regional Level Task Force, one of which is Malang Regency, East Java Province. One of the efforts is to implement Physical Distancing at the sub-district level, namely by closing existing roads in Malang Regency with the aim of reducing the activity of people and vehicles on these roads. The problem is how to determine the most appropriate road sections to be closed so that the policy is right on target. The decision support system application and the calculation of data obtained using the Simple Additive Weighting (SAW) and Analytical Hierarchy Process (AHP) methods can help make decisions in determining which roads will be closed. The application of these two methods is able to analyze data and provide accurate calculation results so that it can provide appropriate alternative solutions. There are differences in the results of calculations and rankings in the two methods, each method provides a value that can be used as an alternative as a choice of roads to be closed as needed.

Pembuatan Infus Elektronik Rumah Sakit Hermawan Suprayogi; Istiadi .; Gigih Priyandoko
JURNAL APLIKASI DAN INOVASI IPTEKS "SOLIDITAS" (J-SOLID) Vol 2, No 1 (2019): Jurnal Aplikasi Dan Inovasi Ipteks SOLIDITAS
Publisher : Badan Penerbitan Universitas Widyagama Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31328/js.v2i1.1285

Infus merupakan suatu peralatan rumah sakit atau klinik yang berfungsi untuk memberikan makanan (nutrisi) ataupun obat dalam bentuk cairan kepada pasien dalam kurun waktu yang sudah ditentukan oleh Dokter. Penelitian ini bertujuan untuk mengembangkan sistem pengaturan dan pemantauan tetesan cairan infus dengan sensor photodioda dan kendali motor servo secara Internet Of Things. Sensor TCRT5000 digunakan untuk mendeteksi tetesan cairan infus dan mikro motor servo digunakan untuk menjepit selang infus yang akan mengatur jumlah tetesan infus. Konsep IOT telah ditetapkan untuk membangun sistem ini dan berhasil memantau tetesan cairan infus melalui internet. Pengujian sistem dilakukan untuk mengatur jumlah tetesan per menit. Hasil pengujian menunjukkan bahwa sistem telah mampu mengatur dan memantau tetesan cairan infus dengan rata-rata kesalahan sebesar 1,14% sampai 3,2%.

Peningkatan Kapasitas Proses Produksi UKM Keripik Tempe Melalui Implementasi Mesin Pemotongan Tempe Istiadi Istiadi; Arie Restu Wardhani; Arief Rizki Fadhillah; Riska Suryanti Putri; Alif Dio Raka Wisnu; Yuninda Wulan Sari
JURNAL APLIKASI DAN INOVASI IPTEKS "SOLIDITAS" (J-SOLID) Vol 5, No 1 (2022): Jurnal Aplikasi Dan Inovasi Ipteks SOLIDITAS
Publisher : Badan Penerbitan Universitas Widyagama Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31328/js.v5i1.3468

Produk kripik tempe telah menjadi salah satu penghasilan masyarakat untuk menopang kebutuhan keluarganya seperti di wilayah Kota Malang. Diantara perajin kripik tempe di Kelurahan Purwantoro (Sanan) adalah perajin kripik tempe Bapak Irfan Rosyidi. Perajin kripik tempe tersebut dalam katergori usaha skala rumah tangga yang mengandalkan produksinya menggunakan peralatan yang masih manual dan pengelolaannya masih tradisional sehingga perkembangan usaha belum maksimal. Selain itu pemasarannya masih bersifat lokal yaitu mengandalkan toko oleh-oleh. Dengan kondisi itu kemampuan produksinya terbatas dan pemasarannya belum maksimal, karena potensi pasar di Indonesia sangat luas. Karena itu kegiatan ini mengusulkan peningkatan produktiviktas perajin tempe skala rumah tangga di Kota Malang dengan para perajin tersebut sebagai mitra. Persoalan prioritas yang disepakati untuk diselesaikan adalah pada aspek produksi yaitu proses fermentasi tempe yang mengandalkan kondisi lingkungan terbuka, proses pengirisan yang manual sehingga hasilnya kurang konsisten dan menguras tenaga, dan proses penirisan yang konvensional; pada aspek manajerial belum adanya pencatatan keuangan sehingga perkembangan usaha sulit dipantau serta pemasaran masih terbatas terutama melalui toko oleh-oleh.

PERANCANGAN SISTEM IRIGASI OTOMATIS DENGAN WIRELESS SENSOR NETWORK (WSN) BERBASIS ENERGI SURYA Dwi Waluyo Putranto; Feni Budi Antono; Rizki Handoko; Istiadi Istiadi
Simetris: Jurnal Teknik Mesin, Elektro dan Ilmu Komputer Vol 9, No 2 (2018): JURNAL SIMETRIS VOLUME 9 NO 2 TAHUN 2018
Publisher : Universitas Muria Kudus

Para petani di Indonesia umumnya masih menggunakan sistem pengairan yang tradisional yaitu dengan cara mengamati kondisi lahan untuk mengatur pengairannya. Selain itu pengairan tradisional kurang memperhatikan efisiensi penggunaan air, disisi lain jumlah petani cenderung berkurang karena generasi muda kurang berminat menjadi petani. Karena itu dibutuhkan sistem irigasi yang otomatis untuk mengurangi kerja petani dan mengefisienkan penggunaan air serta ramah lingkungan. Penelitian ini bertujuan merancang sistem irigasi otomatis menggunakan Wireless Sensor Network (WSN) berbasis tenaga surya. Pada sistem ini digunakan sensor kelembaban tanah untuk mendeteksi kondisi lahan. Hasil deteksi dikirimkan ke server dan untuk menentukan pengaktifan valve saluran air. Pengembangan sistem ini didasarkan obyek lahan di Kelompok Gapoktan sebagai contoh kasus. Hasil pengembangan sistem menunjukkan pengairan dapat bekerja mengalirkan air pada area tertentu sesuai dengan deteksi kondisi kelembaban tanahnya.

DIAGNOSIS OF INDUCTION MOTOR BEARING DEFECT USING DISCRETE WAVELET TRANSFORM AND ARTIFICIAL NEURAL NETWORK Gigih Priyandoko; Istiadi Istiadi; Diky Siswanto; Dedy Usman Effendi; Eska Riski Naufal
SINERGI Vol 25, No 1 (2021)
Publisher : Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/sinergi.2021.1.005

Induction motor is electromechanical equipment that is widely used in various industrial applications. The research paper presents the detection of the defect to three-phase induction motor bearing using discrete wavelet transforms and artificial neural networks to detect whether or not the motor is damaged. An experimental test rig was made to obtain data on healthy phase currents or damaged bearings on the induction motor using the motor current signature analysis (MCSA) method. Several mother-level wavelets are chosen on the wavelet method from the obtained current signal. The feature of the wavelet results is used as an input of the Artificial Neural Network to classify the condition of the induction motor. The results showed that the system could provide an accurate diagnosis of the condition of the induction motor.

Optimasi naive Bayes classifier untuk klasifikasi teks pada e-government menggunakan particle swarm optimization Kuncahyo Setyo Nugroho; Istiadi Istiadi; Fitri Marisa
Jurnal Teknologi dan Sistem Komputer Volume 8, Issue 1, Year 2020 (January 2020)
Publisher : Department of Computer Engineering, Engineering Faculty, Universitas Diponegoro

One of the public e-government services is a web-based online complaints portal. Text of complaint needs to be classified so that it can be forwarded to the responsible office quickly and accurately. The standard classification approach commonly used is the Naive Bayes Classifier (NBC) and k-Nearest Neighbor (k-NN), which still classifies one label and needs to be optimized. This research aims to classify the complaint text of more than one label at the same time with NBC, which is optimized using Particle Swarm Optimization (PSO). The data source comes from the Sambat Online portal and is divided into 70 % as training data and 30 % as testing data to be classified into seven labels. NBC and k-NN algorithms are used as a comparison method to find out the performance of PSO optimization. The 10-fold cross-validation shows that NBC optimization using PSO achieves an accuracy of 87.44 % better than k-NN of 75 % and NBC of 64.38 %. The optimization model can be used to increase the effectiveness of services to e-government in society.

Sistem Pakar Penyakit Menular Menggunakan Dempster Shafer Dengan Rekomendasi Tempat Layanan Kesehatan Istiadi Istiadi; Emma Budi Sulistiarini; Rudy Joegijantoro; Dedi Usman Effendy
Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Vol 4 No 1 (2020): Februari 2020
Publisher : Ikatan Ahli Informatika Indonesia (IAII)

Delay in the handling of a type of disease can pose a risk for someone who has the surrounding environment. Often the casualties are caused by people's ignorance of the spread of dangerous infectious diseases. People's ignorance as an action that must be done immediately and where to do to get help. Thus it is necessary to build an application of an expert system that can diagnose infectious diseases, provide recommendations for disease management, and provide recommendations for appropriate and acceptable health services. The system was built to diagnose six types of infectious diseases that are of particular concern to Malang City. Various infectious diseases with similar symptoms that appear will lead to the possibility of a diagnosis and many possibilities for diagnosis. The Dempster Shafer method is an approved one that can be used in overcoming these factors. The disease expert consultation system application using the Dempster Shafer method obtained an accuracy test result of 88.5%. While the system usability test obtained results, 76% agreed to system reliability, 85% strongly agreed to system efficiency, 83% strongly agreed to ease for use system, and 79% agreed to accurate system.

Pengurangan Noise Pada RTL-SDR Menggunakan Least Mean Square Dan Recursive Least Square Aviv Yuniar Rahman; Mamba’us Sa’adah; Istiadi
Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Vol 4 No 2 (2020): April 2020
Publisher : Ikatan Ahli Informatika Indonesia (IAII)

Noise reduction is an important process in a communication system, one of which is radio communication. In the process of broadcasting radio Frequency Modulation (FM) often encountered noise so that listeners find it difficult to understand the information provided. In the past, noise reduction used traditional filters that were only able to filter certain frequencies. However, for future technologies an adaptive filter is needed that can dynamically reduce noise effectively. Register Level-Software Defined Radio (RTL-SDR) can capture signals with a very wide frequency range but has a less clear sound quality. So it needs to be done noise reduction. In this study, two methods are used, namely Least Mean Square (LMS) and Recursive Least Square (RLS). The data used five radio stations in Malang. The results showed that the LMS algorithm is stable but has a slow convergence speed, whereas the RLS algorithm has poor stability but has a high convergence speed. From the test, it can be concluded that the performance of RLS is better than LMS for noise reduction in RTL-SDR. The best performance is the reduction of White Noise using RLS on the Oryza radio station with an Normalized Weight Differences (NWD) value of -13.93 dB.

Klasifikasi Kualitas Biji Kopi Menggunakan MultilayerPerceptron Berbasis Fitur Warna LCH Ilhamsyah Ilhamsyah; Aviv Yuniar Rahman; Istiadi Istiadi
Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Vol 5 No 6 (2021): Desember 2021
Publisher : Ikatan Ahli Informatika Indonesia (IAII)

Coffee is one of Indonesia's foreign exchange earners and plays an important role in the development of the plantation industry. In previous studies, coffee bean quality research has been carried out using the ANN method using color features. RGB and GLCM. However, the results carried out in the study only had an accuracy value of up to 47%. Therefore, this study aims to improve the performance of coffee bean quality classification using four machine learning methods and 7 color features. From the results obtained, it shows that MultilayerPerceptron is better starting with RGB color with an accuracy of 38% split ratio 90:10. HSV has an accuracy of 57% split ratio 90:10. CMYK has an accuracy of 63% split ratio 90:10. LAB has a 58% curation split ratio of 90:10. The YUV type has an accuracy of 58% split ratio 90:10. Furthermore, the HSI color type has an accuracy of 42% split ratio 90:10. The HCL color type has an accuracy of 65% split ratio 90:10 and LCH has an accuracy of 78% split ratio 90:10. In testing, it can be concluded that the MultilayerPerceptron method is better than other methods for the coffee bean classification process.

Temu Kembali Kemiripan Motif Citra Tenun Menggunakan Transformasi Wavelet Diskrit Dan GLCM Anderias Bai Seran; Aviv Yuniar Rahman; Istiadi Istiadi
Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Vol 5 No 5 (2021): Oktober2021
Publisher : Ikatan Ahli Informatika Indonesia (IAII)

Indonesia is a country with cultural diversity. One of the famous cultural heritages in Indonesia is Woven Fabrics. East Nusa Tenggara Province, especially South Central Timor, is an area that also produces weaving. There are 3 types of woven fabric motifs, namely the Buna, Lotis, and Futus motifs which were inherited from their ancestors. Woven cloth is unique because it is made through a ritual process and is used for traditional ceremonies, weddings, funerals, and so on. However, along with the development of technology, ordinary people increasingly forget the motifs of woven fabrics and have difficulty distinguishing the motifs. The function of this research is to improve the performance of previous studies in the process of finding the similarity of weaving image motifs using discrete wavelet transforms and GLCM. The results are known, calculations using a confusion matrix on discrete wavelet transformation feature extraction and GLCM, comparisons on discrete wavelet transformations produce an accuracy rate of 70% Minkowski matrix, 60% Manhattan matrix, 60% Canberra matrix, 20% Euclidean matrix. Comparison of feature extraction calculations on GLCM produces an average quality of the Minkowski matrix of 90% and the lowest level of accuracy on the Euclidean, Manhattan, and Canberra matrices of 80%.

Co-Authors - Faqih A.A. Ketut Agung Cahyawan W Abd Wahab , Mohd Helmy Adi Saputra, Deni Affi Nizar Suksmawati Affi Nizar Suksmawati Affi Nizar Suksmawati Agatha Korina Intaningtyas Anggarin Anggarin Ahmad Desma Syahputra Ahmad Farhan, Ahmad Ahmad Muzakky Akbar, Ismail Akhmad Nurhadi Ali Said Alif Dio Raka Wisnu Alif Dio Raka Wisnu Anderias Bai Seran Andriani , Citra Anik Yuesti Antono, Feni Budi April Lia Hananto Ardiansyah Setiawan Arie Restu Wardhani Arie Restu Wardhani Arief Rizki Fadhillah Arofah , Siti Nur Ashuri Nurdiansyah Aviv Yunia Rahman Aviv Yuniar Rahman Aviv Yuniar Rahman Aviv Yuniar Rahman Aviv Yuniar Rahman Aviv Yuniar Rahman Biaz Surya Prakasa Body Surya Permana Budiawan, Renaldi Widi Candra Zonyfar Dean Ariesta Aziz Dedi Usman Effendy Dedy Usman Effendi Diky Siswanto Diky Siswanto Dio Amin Putra Dwi Purnomo Dwi Waluyo Putranto Effendi, Dedy Usman Eka Purna Okta Danawan Elko Prayoga Elyana Estyandhika Emma Budi Sulistiarini Eska Riski Naufal Exelino Bata, Jefreydo Fachrudin Hunaini Faqih Faqih Faqih Rofii Fauzi Ahmad Muda Feni Budi Antono Ferry Irmawan Firdaus Iman Ubaidillah Firman Nurdiansyah Firman Nurdiyansyah Firman Nurdiyansyah Fitri Marisa Fitri Marisa Fitri Marisa Fitri Marisa Fitri Marisa Fitri Marisa Fitri Marisa Fitri Marissa Galih Wicaksana Ghafur, A Hanif Saha Grace Januaria Taolin Dirma Hadian Artanto Handoko, Rizki Hermawan Suprayogi Hero Diogenes Adoe Ilham Rumaf Ilhamsyah Ilhamsyah Indra Dharma Wijaya Irfan Indra Kurniawan Irsandi Satria Wicaksana jauhar, afif Joko Wahyunarto Kartika Yuli Triastuti khusniyatul latifah Kris Inur Firman Sugiarto Kristianingrum Kristianingrum Kuncahyo Setyo Nugroho Kuncahyo Setyo Nugroho Larangga Herdianzenda Laurentino Da Costa Liliana De Deus Lutfi Erik Prasetyo Magai, Etinus Maheza Fresmanda, Muhammad Mamba’us Sa’adah MARIFANI FITRI ARISA Mochamad Tri Anjasmoros Mochammad Tirta Yovresa MOHAMMAD YUSUF Monica Putri Indrayati Monica Putri Indrayati Muhammad Agus Sahbana Muhammad Ifan Fanani Muhammad Januar Wicaksono Mukhsim, Muhamad Mustakim Mustakim Nada Zuhriyah Napulun, Kanisius Naufal, Eska Riski Niken Paramita Pradana, Muhammad Rangga Adi Priyandoko Gigih Putra Kurniawan, Rizky Putra, Rangga Pahlevi Putra, Sumartono Ali Putranto, Dwi Waluyo Rahma Fitriani Rangga Pahlevi Rangga Pahlevi Putra Rayana Jaka Surya Renaldi Widi Budiawan Ridha, Mohammad Riska Suryanti Putri Riska Suryanti Putri Riska Suryanti Putri Rivaldiknas Gampar, Philipus Rizki Handoko Rudy Joegijantoro, Rudy Sabar Setiawidayat, Sabar Sahar, Nan Mad Sandi probo sarjono Sandi Tyas Wahyu Sarina Sulaiman Silviana Silviana Syahroni Wahyu Iriananda, Syahroni Wahyu Tjiptoheriyanto, Prijono Triastuti, Kartika Yuli Ubaidillah, Firdaus Iman Udin, M Diya Wahyu Iriananda, Syahroni Wicaksono, Padang Wisnu, Alif Dio Raka Yeni Prasetio Hadi Yuliana Rachmawati Yuninda Wulan Sari Yuninda Wulan Sari

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