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VISUALISASI METODE SEQUENTIAL SEARCH Dadang Haryanto; Akik Hidayat
JUTEKIN (Jurnal Teknik Informatika) Vol 2, No 2 (2014): JUTEKIN
Publisher : LPPM STMIK DCI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51530/jutekin.v2i2.63

What is meant by Searching the programming technique isused to findatraceof databy way ofdatastorage. Thestorage spacecanbe an array in memory o rinafileon theexternal storage.Sequential Search is searchthrough multiple iterations from1up to the amountof data. Ateachrepetition, the data compared to the sought-i. If thesame, meaningthe datahas beenfound. In contrastto the endifthere is norepetition ofthe same data, meaningthe datadoes notexist. In theworst case, forNdata elements should beNtimesas manysearchesas well.Expected by theapplication of sequential visualization methods for thesearchengines this data can help how the workings of thesearch processto use yourdata by sequential searchmethods.Keyword: Programming, Visualization, Search

SISTEM PAKAR PENDETEKSI KERUSAKAN PADA AUTO MOBIL Akik Hidayat; Cucu Tohir
JUTEKIN (Jurnal Teknik Informatika) Vol 2, No 2 (2014): JUTEKIN
Publisher : LPPM STMIK DCI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51530/jutekin.v2i2.64

Damage is an abnormal and unnatural state of the auto component parts car or all that causes discomfort, dysfunction or difficulty in terms of its use in the streets. So to fix (repair) the damage, people used to consult with a mechanic or technician skilled in the art. now it is very frequent and common in various types of vehicles in particularthe type of auto vehicle car. Damage can occur due to several factors including usage and maintenance factors that are not in accordance with the rules, resulting in auto vehicle car can be damaged either from minor damage to a very severe damage.The main discussion in this research is to design and manufacture of Damage Detection Expert System On Auto Car. The development of this expert system using the method for selecting the symptoms of damage which in turn is processed to become an information form of the cause of the damage until the solution to solve the problem of damage to the auto car. This expert system program materials adopted from the knowledge of an expert interview process, both automotive and source book or source module.The purpose of this software is to create an expert system used for the Detection of Damage At Auto Mobil early in order to do prevention early and minimize damage to the vehicle type Cars Auto harm caused by the prediction analysis of the repairs and to make it easier for owners and mechanics to perform maintenance and repairs. This expert system development using Borland Delphi 7.0 with Paradox database using a database 7.

SISTEM PENDUKUNG KEPUTUSAN SELEKSI PENERIMA BEASISWA KOPERTIS UNTUK MAHASISWA DENGAN METODE PROFILE MATCHING DI STMIK DCI KOTA TASIKMALAYA Akik Hidayat; Tria Sugiarto
JUTEKIN (Jurnal Teknik Informatika) Vol 4, No 2 (2016): JUTEKIN
Publisher : LPPM STMIK DCI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51530/jutekin.v4i2.91

Perkembangan teknologi informasi saat ini membutuhkan informasi yang cepat dan akurat dalam implementasinya. Seleksi penerima beasiswa dengan dukungan sistem pendukung keputusan merupakan salah satu implementasi perkembangan teknologi informasi. Penelitian ini menghasilkan sebuah aplikasi sistem pendukung keputusan seleksi penerima beasiswa. Salah satu metode sistem pendukung keputusan adalah Metode Profile Matching. Profile Matching secara garis besar merupakan proses membandingkan antara nilai data aktual dari suatu profil yang akan dinilai dengan nilai profil yang diharapkan, sehingga dapat diketahui perbedaan kompetensinya (disebut juga gap), semakin kecil gap yang dihasilkan maka bobot nilainya semakin besar yang berarti memiliki peluang lebih besar untuk direkomendasikan sebagai mahasiswa yang berhak menerima beasiswa. Sistem Pendukung Keputusan (SPK) ini dapat memperhitungkan segala kriteria yang mendukung pengambilan keputusan guna membantu mempercepat dan mempermudah proses pengambilan keputusan. Hasil penelitian ini akan menghasilkan urutan rangking dari calon mahasiswa penerima beasiswa yang telah diseleksi dan aplikasi ini dapat membantu pengambil keputusan (decission maker) dalam memilih alternatif mahasiswa yang berhak mendapatkan beasiswa Kopertis.Kata Kunci: Beasiswa, Metode Profile Matching, Sistem Pendukung Keputusan

Adaptive PID Auto-Tuning Algorithm on Omron PLC for Speed Control and Stability Nanang Rohadi; Liu Kin Men; Akik Hidayat
Jurnal Nasional Teknik Elektro dan Teknologi Informasi Vol 14 No 4: November 2025
Publisher : This journal is published by the Department of Electrical and Information Engineering, Faculty of Engineering, Universitas Gadjah Mada.

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/jnteti.v14i4.22693

Speed regulation of three-phase induction motors under varying load conditions presents a major challenge in industrial automation due to their nonlinear dynamic behavior. This paper proposes an adaptive speed control system using a proportional-integral-derivative auto-tuning (PIDAT) algorithm implemented on the Omron CP1H-XA40DT-D programmable logic controller (PLC). The initial PID parameters were derived using the Ziegler–Nichols method, and the system continuously monitored the steady-state error during operation. When the error exceeded a predefined 5% threshold, the auto-tuning sequence was triggered. This sequence included a relay feedback test (RFT), system identification using a first order plus dead time (FOPDT) model, and real-time PID parameter recalculation. The system hardware integrated an Omron 3G3MX2 inverter, rotary encoder, and NB7W-TW01B human–machine interface (HMI) to form a closed-loop control structure. Experimental validation was performed under both spontaneous and constant load conditions. The PIDAT method consistently demonstrated superior performance compared to classical Ziegler–Nichols tuning, achieving steady-state errors in no-load tests below 1.70 % and under 0.8% in loaded conditions. Furthermore, the system achieved settling times below 9 s and recovered from load disturbances in less than 4 s. These results validate the proposed PIDAT system as an accurate, fast, and adaptive control solution, reducing the need for manual tuning and enhancing robustness in dynamic industrial environments.

Perancangan dan Implementasi Pengaturan Kecepatan Motor Induksi Tiga Fasa Berbasis Logika Fuzzy terhadap Variasi Beban pada PLC Mitsubishi FX3U Nanang Rohadi; Liu Kin Men; Akik Hidayat
Jurnal Nasional Teknik Elektro dan Teknologi Informasi Vol 15 No 1: Februari 2026
Publisher : This journal is published by the Department of Electrical and Information Engineering, Faculty of Engineering, Universitas Gadjah Mada.

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/jnteti.v15i1.22694

Three-phase induction motors are extensively deployed in industrial automation due to their robustness, simplicity, and efficiency. Nevertheless, maintaining speed stability under dynamically varying loads remains a significant control challenge. This study investigated the design and implementation of a fuzzy logic-based speed control system fully embedded within a Mitsubishi FX3U-64M programmable logic controller (PLC), eliminating the dependency on external software platforms. The system integrated a rotary encoder for real-time speed feedback, an FX2N-2DA digital-to-analog converter for signal output, and a Mitsubishi FR-E520 inverter for frequency and voltage regulation. The fuzzy controller utilized two input variables, speed error and rate of change, which were fuzzified and processed through a Mamdani-type inference mechanism. All fuzzy operations, including rule evaluation and centroid-based defuzzification, were executed using ladder diagram programming via GX Works2. Experimental validation was performed across five speed references (300 to 1200 rpm) and varying mechanical loads (0.5–1.5 kg). The controller consistently achieved steady-state errors below 1% in no-load conditions and below 0.5% under load, with recovery times ranging from 1.5 to 6.75 s. These results demonstrate that the proposed PLC-based fuzzy controller provides a responsive, accurate, and fully integrable solution for real-time industrial motor speed regulation under variable operating conditions.

Adaptive PID Auto-Tuning Algorithm on Omron PLC for Speed Control and Stability Nanang Rohadi; Liu Kin Men; Akik Hidayat
Jurnal Nasional Teknik Elektro dan Teknologi Informasi Vol 14 No 4: November 2025
Publisher : This journal is published by the Department of Electrical and Information Engineering, Faculty of Engineering, Universitas Gadjah Mada.

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/jnteti.v14i4.22693

Speed regulation of three-phase induction motors under varying load conditions presents a major challenge in industrial automation due to their nonlinear dynamic behavior. This paper proposes an adaptive speed control system using a proportional-integral-derivative auto-tuning (PIDAT) algorithm implemented on the Omron CP1H-XA40DT-D programmable logic controller (PLC). The initial PID parameters were derived using the Ziegler–Nichols method, and the system continuously monitored the steady-state error during operation. When the error exceeded a predefined 5% threshold, the auto-tuning sequence was triggered. This sequence included a relay feedback test (RFT), system identification using a first order plus dead time (FOPDT) model, and real-time PID parameter recalculation. The system hardware integrated an Omron 3G3MX2 inverter, rotary encoder, and NB7W-TW01B human–machine interface (HMI) to form a closed-loop control structure. Experimental validation was performed under both spontaneous and constant load conditions. The PIDAT method consistently demonstrated superior performance compared to classical Ziegler–Nichols tuning, achieving steady-state errors in no-load tests below 1.70 % and under 0.8% in loaded conditions. Furthermore, the system achieved settling times below 9 s and recovered from load disturbances in less than 4 s. These results validate the proposed PIDAT system as an accurate, fast, and adaptive control solution, reducing the need for manual tuning and enhancing robustness in dynamic industrial environments.

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