Jurnal Ilmiah Teknik Elektro Komputer dan Informatika (JITEKI)
JITEKI (Jurnal Ilmiah Teknik Elektro Komputer dan Informatika) is a peer-reviewed, scientific journal published by Universitas Ahmad Dahlan (UAD) in collaboration with Institute of Advanced Engineering and Science (IAES). The aim of this journal scope is 1) Control and Automation, 2) Electrical (power), 3) Signal Processing, 4) Computing and Informatics, generally or on specific issues, etc.
Articles
401 Documents
<![CDATA[Data Mining Klasifikasi Data Nasabah Kredit KSU Taman Mandiri Menggunakan Algoritma C4.5 ]]>
<![CDATA[Julkari Sinta Parapat]]>;
<![CDATA[Anita Sindar RMS]]>
<![CDATA[ Jurnal Ilmiah Teknik Elektro Komputer dan Informatika Vol 4, No 2 (2018) ]]>
Publisher : <![CDATA[Universitas Ahmad Dahlan ]]>
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DOI: 10.26555/jiteki.v4i2.11416
<![CDATA[Koperasi simpan pinjam berkembang dari bunga pinjaman nasabah. Pengambil keputusan harus objektif dalam menentukan nasabah yang diberi kredit meminjam. Setiap data nasabah calon peminjam dipelajari untuk melihat pola nasabah dalam simpan pinjam pada koperasi. Digunakan Data Mining untuk mengekstraksi dan mengidentifikasi informasi. Teknik Data Mining Decision Tree, jawaban akan sebuah sistem untuk membantu dan mencari keputusan dengan memperhitungkan faktor-faktor yang terjadi. Penelitian ini bertujuan menilai nasabah dari record data dalam memutuskan nasabah pengambil kredit. Analisa data, terdiri dari 16 data sample, 7 data nasabah lancar dan 9 data nasabah macet pembayaran. Setiap percabangan menyatakan kondisi yang harus dipenuhi dan tiap ujung pohon menyatakan kelas data. Pada Node 1 diperoleh atribut dengan Gain tertinggi: Penghasilan, sebesar 0,6853. Pada Node 1.1 diperoleh atribut dengan Gain tertinggi: umur, sebesar 0,6215. Gain tertinggi adalah  jangka waktu: 0,9179. Ada tinggal dua nilai dari atribut jangka waktu, 31-60, 15-30 hari. nilai atribut 31-60 mengklasifikasikan kasus menjadi satu yaitu keputusannya “macet†demikian juga dengan 15-30 hari mengklasifikasi kasus menjadi satu yaitu keputusanya “lancar†sehingga tidak perlu melakukan perhitungan lebih lanjut.]]>
<![CDATA[Perancangan Sistem Pendukung Keputusan Untuk Menentukan Peminatan Ekstrakurikuler Dengan Metode Simple Additive Weighting (Saw) Pada Siswa Mts N Sumber Kabupaten Rembang Berbasis Web ]]>
<![CDATA[Khuli Handayani]]>;
<![CDATA[Dhidik Prastiyanto]]>;
<![CDATA[Sugeng Purbawanto]]>
<![CDATA[ Jurnal Ilmiah Teknik Elektro Komputer dan Informatika Vol 4, No 1 (2018) ]]>
Publisher : <![CDATA[Universitas Ahmad Dahlan ]]>
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DOI: 10.26555/jiteki.v4i1.8755
<![CDATA[Dalam penentuan peminatan ekstrakurikuler di MTs N Sumber Rembang wali kelas dan waka kurikulum mengalami kendala koordinasi dalam menentukan peminatan ekstrakurikuler sehingga proses peminatan ekstrakurikuler membutuhkan waktu yang agak lama. Terkait hal tersebut maka dibutuhkan suatu sistem pendukung keputusan peminatan ekstrakurikuler yang mampu memberikan solusi alternatif dalam proses peminatan ekstrakurikuler. Tujuan dari penelitian ini adalah untuk menghasilkan sistem pendukung keputusan yang dapat memudahkan MTs N Sumber Rembang dalam menentukan peminatan ekstrakurikuler. Metode yang digunakan dalam mengembangkan sistem adalah metode waterfall dimana tahapan-tahapan metode tersebut adalah analisis kebutuhan, desain sistem, implementasi sistem, pengujian sistem dan pemeliharaan sistem. Untuk pengujian sistem menggunakan pengujian white box dan pengujian kualitas sistem dengan standar ISO 9126. Hasil yang didapatkan dari pengujian white box atau uji kasus pada sistem menunjukkan masing-masing test case adalah valid. Hasil implementasi dari sistem melalui pengujian kualitas sistem menunjukkan bahwa Sistem Pendukung Keputusan Untuk Menentukan Peminatan Ekstrakurikuler Menggunakan Metode SAW Pada Siswa MTs N Sumber Rembang Berbasis Web sangat layak digunakan oleh wali kelas, TU dan pembina ekstrakurikuler dalam menentukan peminatan ekstrakurikuler di MTs N Sumber Rembang.]]>
<![CDATA[Identify The Authenticity of Rupiah Currency Using K Nearest Neighbor (K-NN) Algorithm ]]>
<![CDATA[Dian Nova Kusuma Hardani]]>;
<![CDATA[Thomi Luthfianto]]>;
<![CDATA[Muhammad Taufiq Tamam]]>
<![CDATA[ Jurnal Ilmiah Teknik Elektro Komputer dan Informatika Vol 5, No 1 (2019): June ]]>
Publisher : <![CDATA[Universitas Ahmad Dahlan ]]>
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DOI: 10.26555/jiteki.v5i1.13324
<![CDATA[The rupiah currency is a valid exchange rate used in transactions in the Republic of Indonesia. The Rupiah is often falsified as paper currency. Rupiah paper has a unique texture characteristic so that if processed digitally, it will be easy to distinguish from fake ones. Designing the authenticity of Rupiah currency system using the K-NN method aims to facilitate the authenticity of the currency and test the accuracy of the method used. The method used in this research is the method of Gray Level Co-occurrence Matrix (GLCM) as a method of feature extraction and K-Nearest Neighbor (K-NN) algorithm used in the identification process. The testing phase uses data for 18 currency images. The results showed an accuracy rate of 100% for the value k = 1, 77.78% for the value k = 3, and 55.56% for the value k = 5. The highest level of accuracy in a currency authenticity identification system occurs when the value of k = 1 is 100%. The value of k on the classification input using the K-NN can determine the level of accuracy of the classification process.]]>
<![CDATA[Household Power Consumption Forecasting using IoT Smart Home Data ]]>
<![CDATA[Fitri Indra Indikawati]]>;
<![CDATA[Guntur Maulana Zamroni]]>
<![CDATA[ Jurnal Ilmiah Teknik Elektro Komputer dan Informatika Vol 5, No 1 (2019): June ]]>
Publisher : <![CDATA[Universitas Ahmad Dahlan ]]>
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DOI: 10.26555/jiteki.v5i1.13184
<![CDATA[The use of the forecasting system is becoming more prominent in recent years. One of the implementations of the forecasting system is to predict electricity consumption demand. In this paper, we have developed a forecasting system for household electricity consumption using a well-known Extreme Gradient Boosting algorithm. We utilized time-series data from a smart meter dataset to make a predictive model. First, we evaluated the importance of time-series feature from the dataset and resampled the original dataset. Then, we used the resampled data to train the model and calculated training loss function. Our experimental studies with real IoT Smart Home data demonstrate that our forecasting system works well with small dataset using one-hour downsampling on the dataset.]]>
<![CDATA[Electricity Demand and Supply Planning Analysis for Sumatera Interconnection System using Integrated Resources Planning Approach ]]>
<![CDATA[Suhono Suhono]]>;
<![CDATA[Sarjiya Sarjiya]]>;
<![CDATA[Sasongko Pramono Hadi]]>
<![CDATA[ Jurnal Ilmiah Teknik Elektro Komputer dan Informatika Vol 5, No 1 (2019): June ]]>
Publisher : <![CDATA[Universitas Ahmad Dahlan ]]>
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DOI: 10.26555/jiteki.v5i1.13178
<![CDATA[The Sumatra interconnection system, which is the second-largest electricity system in Indonesia, is often experiencing rolling blackouts. That caused by a lack of supply from the power generating system of Sumatra. The Government has planned to develop new power plants through the fast track program (FTP). Until 2015, either power outages and supply shortages are still common. Therefore, an analysis of long-term electricity planning needed to support energy security in Sumatra. The Sumatra electricity system was modelled using integrated resource planning as a framework and the long-range energy alternative planning (LEAP) software as a tool to build and simulate the model. Three groups of scenarios will be compared are the fast track program (FTP) scenario, the biofuel mandatory (BM) scenario and optimization (OPT) scenario. The results show that the implementation of DSM programs through energy conservation scenario would be able to reduce the electricity demand in the future. On the other side, the alternative scenario shows that the electricity deficit could be resolved in 2022, while the optimization scenario shows that energy diversity would resolve the electricity crisis in the Sumatra interconnection system.]]>
<![CDATA[Sliding Mode Control with Gain-Scheduled for Magnetic Levitation System ]]>
<![CDATA[Rudi Uswarman]]>;
<![CDATA[Swadexi Istiqphara]]>;
<![CDATA[Denny Hidayat T.N.]]>
<![CDATA[ Jurnal Ilmiah Teknik Elektro Komputer dan Informatika Vol 5, No 1 (2019): June ]]>
Publisher : <![CDATA[Universitas Ahmad Dahlan ]]>
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DOI: 10.26555/jiteki.v5i1.13223
<![CDATA[This paper presents a study of controlling magnetic levitation object using conventional sliding mode control (CSMC) and sliding mode control (SMC) with gain-scheduled. SMC with gain-scheduled aims to improve the robustness of the control system from disturbance. The CSMC simulation results show that output can follow the set point if there is no interference, but if the disturbance happens then there is overshoot and undershoot of 0.034 mm and 0.07 mm for disturbance 10 ∗ sin (ð‘¡) and 20 ∗ sin (ð‘¡). Then SMC with gain-scheduled shows excellent performance because the output can follow the reference even if it got disturbance of 10 ∗ sin (ð‘¡) and 20 ∗ sin (ð‘¡).]]>
<![CDATA[Obstacle Avoidance using Fuzzy Logic Controller on Wheeled Soccer Robot ]]>
<![CDATA[Noorman Rinanto]]>;
<![CDATA[Irfan Marzuqi]]>;
<![CDATA[Agus Khumaidi]]>;
<![CDATA[Sryang T Sarena]]>
<![CDATA[ Jurnal Ilmiah Teknik Elektro Komputer dan Informatika Vol 5, No 1 (2019): June ]]>
Publisher : <![CDATA[Universitas Ahmad Dahlan ]]>
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DOI: 10.26555/jiteki.v5i1.13298
<![CDATA[The purpose of this study is to apply Fuzzy Logic Controller on a wheeled soccer robot to avoid the collision with other robots in the field. The robot equipped by an omnidirectional camera as a vision sensor, a mini-PC for the image processing device, a microcontroller to handle I/O system, and three wheel's omnidirectional mover system. Omni-camera produces four input-values, namely: X coordinate ball position, Y coordinate ball position, distance and angle from obstacle to the point of interest in the camera frame. These inputs processed by a mini-PC and then forward to a microcontroller to calculate the output using Fuzzy Logic Controller. The output variables are the movement rate of the robot in the X, and Y coordinate. These outputs will be used by the kinematics controller to manage the speed of three Omni-wheels driven by 24 volts DC motors. The experiment shows a good result with the percentage of the success of the robot catching the ball is around 70% and 80% in avoiding the obstacle. In time performance, the soccer robot with Fuzzy Logic Controller is superior by 4.67 seconds compared to the robot without this method.]]>
<![CDATA[Sentiment Analysis Using Maximum Entropy on Application Reviews (Study Case: Shopee on Google Play) ]]>
<![CDATA[Ulinnuha Rhohmawati]]>;
<![CDATA[Isnandar Slamet]]>;
<![CDATA[Hasih Pratiwi]]>
<![CDATA[ Jurnal Ilmiah Teknik Elektro Komputer dan Informatika Vol 5, No 1 (2019): June ]]>
Publisher : <![CDATA[Universitas Ahmad Dahlan ]]>
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DOI: 10.26555/jiteki.v5i1.13087
<![CDATA[Shopee was one of the e-commerce application that could found on Google Play. The amount of Shopee application reviews on Google Play continues to grow over time. These make the company trying to get the overall information from all reviews because it would take a long time to read each of the reviews on Google Play. Therefore analysis was used using text mining. One part of text mining was sentiment analysis that applied the maximum entropy method to classification. Based on the results of the analysis found an accuracy of 97.32%. By using the maximum entropy method it could be concluded that word association obtained related to “applicationâ€, “promoâ€, “satisfyâ€, and “discount†for positive sentiment. Meanwhile for negative sentiment, the reviewers of Shopee application on Google Play were related to “problematicâ€, “loginâ€, “oldâ€, “verificationâ€, and “expensiveâ€. The results of this research in Indonesian.]]>
<![CDATA[Trend Topic Analysis using Latent Dirichlet Allocation (LDA) (Study Case: Denpasar People’s Complaints Online Website) ]]>
<![CDATA[Aulia Rizki Destarani]]>;
<![CDATA[Isnandar Slamet]]>;
<![CDATA[Sri Subanti]]>
<![CDATA[ Jurnal Ilmiah Teknik Elektro Komputer dan Informatika Vol 5, No 1 (2019): June ]]>
Publisher : <![CDATA[Universitas Ahmad Dahlan ]]>
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DOI: 10.26555/jiteki.v5i1.13088
<![CDATA[According to the publication of the Central Bureau of Statistics 2017, the population of Denpasar people has increased to 914,300 people. The Increasing number of the population raises various problems that must be faced by the Denpasar’s Government. The variety of problems is in line with the increase in complaints data posted through Denpasar people’s complaints online website, which made it difficult to know the main topics of the problems. The purpose of this research is to find the main topics of complaints Denpasar residents quickly and efficiently. The method used to achieve the objective of the research is Latent Dirichlet Allocation topic models with Gibbs sampling parameter estimation. The number of topics obtained through the highest log-likelihood value -42,528.84, the value is in the number of topics 19. The trending topic was based on the highest topic probability, topic 4, with a topic probability value 0.055. Based on these results, the trend of a topic is on topic 4 which can be interpreted that many residents of Denpasar complained about damaged roads and requested to fix the roads.]]>
<![CDATA[Sistem Pemantau Kekeruhan Air dan Pemberi Makan Otomatis pada Ikan Berbasis Mikrokontroler ]]>
<![CDATA[Riskan Oktafiadi]]>
<![CDATA[ Jurnal Ilmiah Teknik Elektro Komputer dan Informatika Vol 2, No 1 (2016) ]]>
Publisher : <![CDATA[Universitas Ahmad Dahlan ]]>
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DOI: 10.26555/jiteki.v2i1.3377
<![CDATA[Pada industri peternakan biasanya dilakukan pekerjaan pemberian makanan secara manual atau dengan menggunakan tenaga manusia. Keterlambatan pemberian pakan ikan apabila ditinggal berpergian petaninya dalam waktu yang lama, menyebabkan pertumbuhan dan daya tahan ikan berkurang sehingga hasil produksi tidak memuaskan serta panen menjadi terlambat. Selain keterlambatan pemberian pakan, kekeruhan (turbidity) air juga mempengaruhi tingkat produksi. Kekeruhan (turbidity) merupakan kandungan bahan organik maupun anorganik yang terdapat di perairan sehingga mempengaruhi proses kehidupan organisme yang ada di perairan tersebut. Melalui penelitian ini dikembangkan alat yang mampu memberi pakan ikan secara otomatis agar dapat membantu meringankan kerja para peternak ikan. Alat ini di desain dengan acrylic sebagai bahan utamanya dan rangkaian mikrokontroler ATmega8535 sebagai pengendali alat. Selain itu alat ini juga menggunakan RTC (Real Time Clock) dan sensor GE turbidity yang berfungsi sebagai penyimpan waktu untuk memberi pakan pada ikan dan mengukur tingkat kekeruhan pada air kolam ikan. Pengujian alat ini dilakukan dengan beberapa tahap. Tahap pertama menimbang banyaknya pakan yang ditumpahkan oleh alat agar didapat berat pakan yang ideal bagi ikan dan tahap kedua adalah dengan mengambil beberapa sempel air kolam ikan, dimana sebelum melakukan pengujian sensor terlebih dahulu dikalibrasi dengan mencelupkannya ke air jernih agar didapat nilai awal 0, setelah itu sensor diuji pada sempel air kolam ikan tersebut Penelitian ini telah berhasil, karena alat mampu bekerja dengan baik yaitu memberikan pakan ikan secara otomatis dimana pada pengujiannya dengan rentang waktu pemberian tiap 2 detik hasil data yang diperoleh adalah linear. Selain itu sensor turbidity yang digunakan mampu untuk mengukur tingkat kekeruhan air dari 4 kolam ikan dengan tingkat kekeruhan yang berbeda sesuai dengan sempel air kolam yang terbaca]]>
