Article Per Year (5 Year)
p-Index From 2019 - 2024
1.503
P-Index
This Author published in this journals
All Journal Jurnal Ilmiah Kursor Jurnal Mahasiswa TEUB Jurnal EECCIS Jurnal Penelitian Pendidikan IPA (JPPIPA) JOURNAL OF SCIENCE AND APPLIED ENGINEERING ALINIER: Journal of Artificial Intelligence & Applications JURNAL PENELITIAN BIDANG PENDIDIKAN
Hadi Suyono
Unknown Affiliation
Aerospace Engineering Agriculture, Biological Sciences & Forestry Automotive Engineering Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Education Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering Materials Science & Nanotechnology Physics Social Sciences Other

Published : 13 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 13 Documents
Search

 1   2 
Sistem Peringatan Dini untuk Deteksi Kebakaran pada Kebocoran Gas Menggunakan Fuzzy Logic Control Wahyu Tara Dirgantara; Hadi Suyono; Onny Setyawati
Jurnal EECCIS (Electrics, Electronics, Communications, Controls, Informatics, Systems) Vol. 11 No. 1 (2017)
Publisher : Fakultas Teknik, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1034.568 KB) | DOI: 10.21776/jeeccis.v11i1.402

Abstract

Abstract—Fire accidents, due to the leakage of LPG gasses, should be avoided; therefore a systsem that can anticipate the accident is necessary. A system consisting of two sensors and three actuators is designed. MQ5 sensor served as a gas sensor to detect gas concentration of 200 – 10000 ppm. LM35 sensor served as a temperature sensor in range of -55–140. Output system consisted of a buzzer and two fans. System  measurement is performed by modeling a cube for three conditions. The results show that the system created using fuzzy logic control can work on three conditions: 45 ppm is detected at 30.49 (no leakage gas), 70 ppm is detected by increasing temperature up to 31.49 (no leakage gas), leakage gas of 1200 ppm caused the decreased of the temperature to 28.13.
Optimasi Injeksi Distributed Generation Menggunakan Algoritma Cat Swarm Optimization dan Krill Herd Algorithm Galuh Prawestri Citra Handani; Hadi Suyono; Rini Nur Hasanah
Jurnal EECCIS Vol 13, No 3 (2019)
Publisher : Fakultas Teknik, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Abstrak – Pemanfaatan energi listrik sebagai upaya menciptakan green energy memerlukan suatu tindakan yang mendukung produksi energi yang efisien dengan menggunakan satu atau lebih energi alternatif yang dapat digabungkan menjadi sumber energi terdistribusi. Permasalahan pokok permintaan sumber energi yang semakin meningkat adalah keandalan sistem dan kualitas daya. Kualitas daya berkaitan dengan pengurangan nilai rugi-rugi daya listrik, berkurangnya nilai jatuh tegangan serta kontinuitas penyaluran energi listrik yang baik. Penambahan distributed generation (DG) pada sistem eksisting dinilai mampu mengurangi permasalahan kualitas daya dan meningkatkan keandalan sistem. Penelitian ini membahas optimasi penempatan DG dengan menggunakan metode Cat Swarm Optimization dan Krill Herd Algorithm. Optimasi dilakukan dengan menginjeksi DG pada sistem eksisting. Dari proses optimasi dengan CSO diperoleh penurunan rugi daya sebesar 0,2 % sedangkan dengan KHA diperoleh penurunan 29,5 %. Perbaikan profil tegangan dengan metode KHA dinilai lebih baik dari CSO dengan nilai diatas 0,99 p.u sedangkan CSO 0,96 p.u. Penelitian ini mengindikasikan bahwa metode KHA lebih baik daripada metode CSO.Kata Kunci — Distributed Generation, Cat Swarm Optimization, Krill Herd Algorithm.
Penjadwalan Pembangkit Termal dengan Improved Lagrange Relaxation pada Sistem Jamali - 500 kV inas sunaryanti ningsih; Hadi Suyono; Wijono Wijono
Jurnal EECCIS (Electrics, Electronics, Communications, Controls, Informatics, Systems) Vol. 11 No. 2 (2017)
Publisher : Fakultas Teknik, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (454.957 KB) | DOI: 10.21776/jeeccis.v11i2.336

Abstract

Unit Commitment (UC) is a problem to schedule generating units in a power system economically meeting the requirements of load demand and spinning reserve. Up to now several methods have been applied to solve this problem. Among those methods Lagrange Relaxation (LR) seems to be the most suitable one. However, this method may suffer from numerical convergence problem. This paper proposes a new method for solving UC problem. The proposed method uses Evolutionary Programming (EP) to update Lagrange multipliers and improves the performance of LR method. Simulation results show that the proposed method can provide a better solution compared with another methods.
Perbandingan Kinerja Algoritma C.45 dan AHP-TOPSIS Sebagai Pendukung Keputusan Proses Seleksi Penerima Beasiswa Aziz Musthafa; Hadi Suyono; M. Sarosa
Jurnal EECCIS Vol 9, No 2 (2015)
Publisher : Fakultas Teknik, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (559.947 KB)

Abstract

Considering the importance of the scholarship, it is a challenge for the head of higher education institutions to make an accurate decision on giving scholarships and managing data of the recipients. However, the implementation is still less efficient in terms of time and allow for errors due to how to select and transfer of data recipients still use manual way. Decision support system is expected to improve performance and simplify the process of selection of recipients. In this research used data Bidik Misi scholarship. The input of this system is the personal data of applicants, the data of parents and academic data. Sample registries from 2013 - 2014 is used in this research. The data of applicants in 2013 are used for training. Whereas the data of applicants in 2014 are used for testing or target data. Input data will be processed using data mining techniques, C4.5 algorithm and Multiple Attribute Decision Making (MCDM) AHP-TOPSIS algorithm. The output of this system is a recommendation of applicants who are accepted and not accepted in Bidik Misi Scholarship and analysis algorithms based on performance.The test results for Bidik Misi Scholarship show that C4.5 algorithm got 85% on precision, 85% on recall and 93% on accuracy, and AHP-TOPSIS got 69% on precision, 69% on recall, and 87% on accuracy. In this research, C4.5 algorithm shows a better performance than AHP-TOPSIS algorithm.
METHOD COMPARISON IN THE DECISION SUPPORT SYSTEM OF A SCHOLARSHIP SELECTION Mohammad Iqbal Bachtiar; Hadi Suyono; M. Fauzan Edy Purnomo
Jurnal Ilmiah Kursor Vol 11 No 2 (2021)
Publisher : Universitas Trunojoyo Madura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21107/kursor.v11i2.263

Abstract

Commonly, the current scholarship selection process has different targets and various criteria for its prospective scholarship recipients. This causes the decision-making process for scholarship selection to be complex, whereas in the general scholarship selection is time-limited. The solution that can be done is to use a DSS (Decision Support System) to improve consistency and speed up decision-making. The available methods for making a DSS used in this study are the Analytical Hierarchy Process, TOPSIS, and the second model using a deep learning approach. The performance of the DSS will then be evaluated using a Confusion Matrix to determine the cost level of each DSS and analyze the strengths and weaknesses of each DSS. The DSS model with the AHP-TOPSIS approach has been successfully created, with the accuracy performance for introducing data on merit, bidikmisi, and independent scholarship schemes are 56.72%, 65.21%, and 95.87%, respectively. While the DSS model with a deep learning approach has been successfully created with accuracy performance of 71.93%, 100%, and 100%, respectively. There are considerable differences between these two approaches. This may be due to the weighting process in the AHP approach which cannot be carried out with precision.
Optimasi Injeksi Photovoltaic Distributed Generation Menggunakan Metode Ant Colony Optimization Continuous Domain dan Improved Particle Swarm Optimization Alvin Zuhair; Hadi Suyono; M. Aziz Muslim
Jurnal EECCIS Vol 13, No 3 (2019)
Publisher : Fakultas Teknik, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Pada sistem tenaga listrik, kualitas daya listrik yang diterima oleh beban yang jauh dari pusat pembangkitan listrik semakin menurun dan rugi-rugi daya semakin meningkat. Dalam mempertahankan kualitas tegangan dan menambah pasokan daya pada jaringan, perlu pemanfaatan pembangkit energi matahari yaitu Photovoltaic Distributed Generation (PVDG). Penelitian ini membahas optimasi PVDG dengan melakukan pencarian lokasi injeksi dan kapasitas daya menggunakan metode Ant Colony Optimization Continuous Domain (ACOCD) dan Improved Particle Swarm Optimization (IPSO). Terdapat tiga skenario yang di implementasikan pada pada sistem yang berdasarkan peningkatan nilai injeksi dan penyebaran pembangkit dari sumber pembangkitan awal. Hasil yang diperoleh menunjukkan kondisi ideal sistem terdapat pada optimasi skenario-3 dengan penambahan 4 PVDG dengan daya injeksi 50% nilai daya beban dengan konstrain yang diberikan pada batas bawah pembangkitan yaitu 0.5 kW dan batas atas pembangkitan  yaitu 2 MW. Rugi-rugi daya setelah injeksi daya PVDG, pengurangan daya yang sebelum injkesi 5.08% namun, setelah injeksi daya PVDG rugi-rugi daya aktif menurun menjadi 0.09% (ACOCD) dan 0,13% (IPSO). Dari penelitian ini menunjukkan metode ACOCD lebih baik dibandingkan metode IPSO.
PERBANDINGAN KINERJA ALGORITMA PROMETHEE DAN TOPSIS UNTUK PEMILIHAN GURU TELADAN Bayu Firmanto; Harry Soekotjo; Hadi Suyono
Jurnal Penelitian Pendidikan IPA Vol. 2 No. 1 (2016): January
Publisher : Postgraduate, University of Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jppipa.v2i1.31

Abstract

Department of Education has a mission to improve the quality of education by conducting quality improvement programs in aspects of facilities/infrastructure, curriculum, and the availability of qualified teachers. By conducting an exemplary teacher assessment, which aims to provide incentives to teachers to excel in the field of competence.Based on the he survey taken from City Education Department states that exemplary teacher assessment is currently done manually. Decision Support System is expected to improve performance and simplify the process of selection of candidates. In this study, the data exemplary teacher candidate selection used includes teacher data repot that contains the marks of the orientation of services, integrity, commitment, discipline, cooperation, leadership, performance and behavior. The proposed methods to solve the the exemplary teacher selection are PROMETHEE and TOPSIS methods.Based on the test performed showed that, the precision, recall, and accuracy parameter of the selection of the exemplary teacher candidates, have been produced 91.19%, 54.31% and 88.41% respectively for PROMETHEE method, and have been resulted 90.50% 74.91% and 94.34% respectively, for TOPSIS method. Therefore, the TOPSIS method has a better performance compared with the PROMETHEE method.Keywors: Calon guru teladan, sistem pendukung keputusan, metode PROMETHEEE, dan metode TOPSIS.
Optimizing Maximum Power Point Tracking on Photovoltaic Arrays using Ant Colony Optimization and Particle Swarm Optimization Algorithms Fuad Hasan; Hadi Suyono; Abraham Lomi
JOURNAL OF SCIENCE AND APPLIED ENGINEERING Vol 5, No 1 (2022): JSAE
Publisher : Widyagama University of Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31328/jsae.v5i1.3263

Abstract

Pembangkit listrik tenaga surya pada umumnya tidak dapat menghasilkan daya maksimal sendiri. Karakteristik tegangan fotovoltaik (PV) umumnya mengikuti tegangan baterai atau beban yang terhubung langsung ke PV. Secara umum, tidak semua bagian modul PV menerima penyinaran atau intensitas cahaya yang seragam, sehingga produksi daya tidak optimal dan menyebabkan kasus multi-puncak. Sistem Maximum Power Point Tracking (MPPT) diperlukan untuk mengoptimalkan produksi listrik PV. Namun dalam banyak metode masih ditemukan beberapa kasus terjebak pada puncak lokal dan waktu konvergensi yang lama. Makalah ini mengkaji dan membandingkan kinerja dari dua metode pelacakan, yaitu Ant Colony Optimization (ACO) dan Particle Swarm Optimization (PSO). Hasil percobaan menunjukkan bahwa algoritma ACO memberikan efisiensi rata-rata keseluruhan yang lebih baik daripada PSO,
Empowering Traditional Education Institution Through the Implementation of Potable Water Provision System Rini Nur Hasanah; Ainul Hayat; Moh. Farid Rahman; Zainul Abidin; Hadi Suyono
JOURNAL OF SCIENCE AND APPLIED ENGINEERING Vol 4, No 2 (2021): JSAE
Publisher : Widyagama University of Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31328/jsae.v4i2.2975

Abstract

The activity reported in this journal was aimed to empower the traditional education institutions commonly found and not formally financed by government of Indonesia. Empowering was carried out through the implementation of an action plan to ensure the potable water provision. Clean as well as potable water is indispensable for daily life and activities of students and teachers, especially those who were living and boarding in the school complex. The action was also potential to improve the financial independence of organization and to develop the entrepreneurship skills of students. The obtained tangible results of the action were in the form of production facility with ready-to-drink water quality of less than 10 ppm (parts per million) of total dissolved solids.
ANALISIS DAYA KELUARAN PADA SISTEM PANEL SURYA YANG MENGGUNAKAN MPPT INCREMENTAL CONDUCTANCE DAN PARTICLE SWARM OPTIMIZATION Fira Utami; Hadi Suyono; Lunde Ardhenta
Jurnal Mahasiswa TEUB Vol. 10 No. 3 (2022):
Publisher : Jurnal Mahasiswa TEUB

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

ABSTRAKPemanfaatan sinar matahari dapat digunakan untuk banyak hal, salah satunya adalah sebagai sumber energiterbarukan. Hal ini dikarenakan sinar matahari merupakan sumber daya alam yang tidak akan pernah habismeskipun digunakan terus menerus. Namun, dikarenakan salah satu permasalahan pada pemanfaatan sistem PVadalah energi listrik yang dihasilkan terbilang rendah maka diperlukan metode yang dapat digunakan untukmeningkatkan efisiensi panel surya sehingga saat terjadi perubahan radiasi matahari panel surya tetap bekerjasecara maksimal. Sebagai upaya untuk mengoptimalkan kerja panel surya, perlu Maximum Power PointTracking (MPPT) yang dapat menentukan titik daya maksimal panel surya dengan melacak daya maksimumsebuah panel surya sehingga didapatkan efisiensi maksimum dalam berbagai kondisi suhu dan radiasi. Banyaksekali macam algoritma yang dapat digunakan pada sistem MPPT, beberapa dari algoritma tersebut yaituIncremental Conductance dan Particle Swarm Optimization. Algortima Incremental Conductance dipilih padasimulasi ini karena dapat menentukan titik MPP dan otomatis berhenti pada operating point. Dibandingkandengan algoritma lain, algoritma Incremental Conductance dinilai lebih baik dalam menyesuaikan nilai radiasiyang ditangkap oleh panel surya. Pada simulasi ini juga ditambahkan sebuah konverter Buck-Boost yangbertujuan menaikkan dan menurunkan nilai tegangan secara otomatis sehingga dapat memaksimalkan kerja darikeluaran panel surya.Kata Kunci—Panel Surya, Maximum Power Point Tracking (MPPT), Incremental Conductance, ParticleSwarm Optimization.ABSTRACTUtilization of sunlight can be used for many things, one of which is as a source of renewable energy. This isbecause sunlight is a natural resource that will never run out even if it is used continuously. However, becauseone of the problems in using PV systems is that the electrical energy produced is relatively low, a method thatcan be used to increase the efficiency of solar panels is needed so that when there is a change in radiation, thesolar panels will still work optimally. In an effort to optimize the work of solar panels, Maximum Power PointTracking (MPPT) is needed which can determine the maximum point of solar panels by tracking the maximumpower of a solar panel so as to obtain maximum efficiency in various temperature and radiation conditions.There are many kinds of algorithms that can be used in MPPT systems, some of them are IncrementalConductance and Particle Swarm Optimization. The Incremental Conductance algorithm was chosen in thissimulation because it can determine the MPP point and automatically stops at the operating point. Compared toother algorithms, the Incremental Conductance algorithm is considered better in adjusting the radiation valuecaptured by solar panels. In this simulation, a Buck-Boost converter is also added which aims to increase anddecrease the voltage value automatically so that it can maximize the work of the solar panel output.Keywords—Solar Panel, Maximum Power Point Tracking (MPPT), Incremental Conductance, ParticleSwarm Optimization.
Co-Authors Abraham Lomi Ainul Hayat Alvin Zuhair Aziz Musthafa Bayu Firmanto, Bayu Fira Utami Galuh Prawestri Citra Handani Harry Soekotjo inas sunaryanti ningsih Luh Putu Ratna Sundari Lunde Ardhenta M. Aziz Muslim M. Fauzan Edy Purnomo M. Sarosa Moh. Farid Rahman Mohammad Iqbal Bachtiar Muhammad Fauzan Edy Purnomo Onny Setyawati Rini Nur Hasanah Rini Nur Hasanah Saipul Ambri Damanik Vita Kusumasari Wahyu Dirgantara Wijono Wijono ZAINUL ABIDIN Zen Fadli