Dian Sawitri | Universitas Dian Nuswantoro (original) (raw)

Papers by Dian Sawitri

Research paper thumbnail of PERANCANGAN JARINGAN RANTAI PASOK SAMPAH ORGANIK MENJADI PAKAN TERNAK LELE YANG OPTIMAL (Studi Kasus : Nusantara Recycling Center dan Kelurahan Kalipancur, Semarang)

Jurnal Ilmiah Teknik Industri

ABSTRAKSampah organik saat ini jumlahnya mencapai 60% dari produksi sampah setiap harinya. Di Kot... more ABSTRAKSampah organik saat ini jumlahnya mencapai 60% dari produksi sampah setiap harinya. Di Kota Semarang, terutama di Kelurahan Kalipancur yang memiliki kepedulian tinggi terhadap permasalahan lingkungan dan memiliki kesiapan di segala aspek, menjadi objek penelitian ini yang juga merupakan lokasi usaha NRC. Penelitian ini dilakukan untuk mengetahui persebaran potensi supplier sampah di Kelurahan Kalipancur dan merancang jaringan rantai pasok dari supplier sampah sampai ke end customer untuk peningkatan kapasitas produksi NRC. Berdasarkan hasil perhitungan menggunakan Solver dan metode Least Cost, diputuskan bahwa NRC meningkatkan kapasitas produksi dari 1 workshop menjadi 3 workshop sehingga total demand pakan ternak dalam sebulan yaitu 28675 kg terpenuhi dan kapasitas produksi masih tersisa 7205 kg sampah pada workshop 1. Jaringan rantai pasok NRC ini kemudian disimulasikan menggunakan ARENA untuk validasi jaringan rantai pasok yang terpilih.

Research paper thumbnail of Sag Voltage Identification on 30 KV Systems Affected by Electric Arc

This paper presents sag voltage identification on 3 0 kV system with electric arc furnace load. T... more This paper presents sag voltage identification on 3 0 kV system with electric arc furnace load. The identification of disturbance using wavelet transfo rmation. The proposed method can precisely identify sags caused by 3 disturbances: single-phase, two-ph ase, and three-phase short circuits, which occur in internally process of an electric arc furnace (EAF) . The identification procedure consists of 3 steps: preparation, wavelet energy calculation, analysis f or identification. The types of short circuit are d tected from the amount of energy during the EAF operation. The highest energy required indicates a three-phas e short circuit; however the lightest is for single-p hase short circuit. Simulation results from a typic al data show that a sag voltage in 0.55-0.75 pu for 0.201 s econds, containing wavelet energy average 0.434733, is caused by 3 types of short circuit in certain subse quent time.

Research paper thumbnail of Model dan Simulasi Alur Rantai Pasok Sampah Organik Menjadi Pakan Ternak Lele

Tekinfo: Jurnal Ilmiah Teknik Industri dan Informasi, 2020

Sampah yang paling banyak dihasilkan adalah sampah organik yaitu sebanyak 60% dibandingkan jenis ... more Sampah yang paling banyak dihasilkan adalah sampah organik yaitu sebanyak 60% dibandingkan jenis sampah yang lain. Sejauh ini NRC sudah mampu mengolah sampah organik untuk dijadikan produk pakan ternak lele atau pelet. Kapasitas produksi yang mampu dilakukan perusahaan NRC yaitu sebanyak 150 kg sampai 200 kg per hari, namun sampah organik yang diperoleh saat ini belum mampu mencapai kapasitas produksi yang diperlukan. Berdasakan hal tersebut, maka perlu diusulkan model rantai pasok sampah organik yang lebih baik untuk perusahaan NRC. Tujuan penelitian ini akan memetakan rantai pasok sampah organik menjadi pakan ternak lele. Model rantai pasok yang dibuat yaitu rantai pasok kondisi saat ini dan rantai pasok usulan. Luaran akhir penelitian akan membandingkan kondisi saat ini dan usulan model rantai pasok yang dibuat. Hasil simulasi dengan software arena menunjukkan perolehan sampah organik sebanyak 352 kg. Hal itu berarti sampah organik yang diperoleh perusahaan NRC dari ke-4 bank sam...

Research paper thumbnail of Perbandingan Tingkat Pengenalan Citra Diabetic Retinopathy Pada Kombinasi Principle Component Dari 4 Ciri Berbasis Metode SVM (Support Vector Machine)

Majalah Ilmiah Teknologi Elektro, 2016

Pattern recoqnition methods for image of diabetic retinopaty are influenced by differences in pig... more Pattern recoqnition methods for image of diabetic retinopaty are influenced by differences in pigmentation. To help diabetic retinopathy image recognition is required a software. This paper presents the results of research on pattern recognition image of diabetic retinopathy,This study used the image of the yellow canal with Gabor filter.Characteristics that are taken from each image is characteristic of the mean, variance, skewness and entropy, followed by feature extraction with PCA (Principle Component Analysis).At PCA feature extraction, square matrix whose number of columns equal to the number of features is generated.There are four features used. These features are 4 PCs (Principle Component), ie, PC1, PC2, PC3 and PC4.From the combination of these features, we obtained six pairs that consist of two traits. By using a linear model of SVM will been selected the pair with the highest accuracy value. Based on the analysis, we obtained a couple PC1 and PC2 models that have the highest levels of learning (100%) and the fastest recognition time, which is explicitly indicated by the smallest amount of support vector. Intisari-Metode pengenalan pola citra retinopati diabetik beserta setting poinnya dipengaruhi oleh perbedaan pigmentasi. Untuk membantu pengenalan citra retinopati diabetic dibutuhkan sebuah perangkat lunak. Makalah ini menyajikan hasil penelitian tentang pengenalan pola citra retinopati diabetik. Dalam penelitian tersebut digunakan citra kanal kuning (yellow), dengan filter Gabor. Ciri yang diambil dari tiap citra adalah ciri rerata (means), ragam (varians), skewness dan entropy, yang dilanjutkan dengan ekstraksi ciri PCA (Principle Component Analysis). Pada ekstraksi ciri PCA, dihasilkan matriks bujur sangkar, yang jumlah kolomnya, sama dengan jumlah ciri. Ada 4 ciri yang digunakan, yang merupakan 4 buah PC (Principle Component), yaitu, PC1, PC2, PC3 dan PC4. Keempat ciri tersebut dikombinasikan sehingga diperoleh 6 pasangan yang beranggotakan 2 ciri. Dengan mengunakan model linear dari SVM akan dipilih pasangan dengan nilai akurasi tertinggi. Berdasarkan hasil analisis diperoleh model pasangan PC1 dan PC2 yang memiliki tingkat pembelajaran tertinggi (100%) dan waktu pengenalan tercepat, yang secara eksplisit ditunjukkan dengan jumlah support vector terkecil.

Research paper thumbnail of Power quality analysis of variable frequency drives connected to a reactively compensated mixed load system

2016 International Seminar on Application for Technology of Information and Communication (ISemantic), 2016

This paper presents the results of study and analysis of the harmonic content and overall perform... more This paper presents the results of study and analysis of the harmonic content and overall performance of a system including Variable Frequency Drives along with capacitive compensator and Static VAr Compensator. Specifically, the cases of no compensation, capacitive compensation, and power electronic based static VAr compensation will be examined. A small-scale model of a system for the study was constructed in lab. Several cases were then performed and tested to simulate a system which contained both fixed and power electronic based harmonic generating loads. The performance of each case was evaluated based on total harmonic current and voltage distortions, true power factor, and RMS current levels at different points in the system. Comparative analysis based on the results will also be presented.

Research paper thumbnail of Diagnostics for Electric Machines, Power Electronics and Drives (SDEMPED), 2013 9th IEEE International Symposium on

Unbalance voltage supply in induction motor is a crucial problem. This paper proposes an original... more Unbalance voltage supply in induction motor is a crucial problem. This paper proposes an original system to detect an unbalance voltage condition in induction motor using Support Vector Machine (SVM). Induction motor current, as a signal due to the unbalance voltage supply in three-phase induction motor, is recorded in lab bench. The features of recorded signals are extracted by wavelet transform and Principal Component Analysis algorithm. Then, the quality of detection is classified by SVM, and the average result of detection is 86%.

Research paper thumbnail of Naïve Bayes classifier for temporary short circuit fault detection in stator winding

2013 9th IEEE International Symposium on Diagnostics for Electric Machines, Power Electronics and Drives (SDEMPED), 2013

ABSTRACT This paper is proposing Naïve Bayes classifier detection system to identify the symptom ... more ABSTRACT This paper is proposing Naïve Bayes classifier detection system to identify the symptom of stator winding deterioration. The proposed system is based on probabilistic classifier with strong independence assumption of each fault case. The temporary short circuit case is defined as non permanent short circuit fault with high impedance. This fault case is representing the early stage of stator insulation break down. The laboratory experiment is performed to simulate the fault cases consist of induction motor with stator modification and current measurement system. The detection system is trained to identify the temporary short circuit occurrence consist of transient starting, steady state and ending of temporary short circuit. The system is also tested using non trained data to clarify the detection performance.

Research paper thumbnail of Data Mining Based Receiver Operating Characteristic (ROC) for Fault Detection and Diagnosis in Radial Distribution System

IPTEK The Journal for Technology and Science, 2009

Research paper thumbnail of Fault Detection Using SVM Based Motor Current Signature Analysis for 3-Phase Induction Motors

Software Engineering and Applications/ 831: Advances in Power and Energy Systems, 2015

Research paper thumbnail of Early detection of unbalance voltage in three phase induction motor based on SVM

2013 9th IEEE International Symposium on Diagnostics for Electric Machines, Power Electronics and Drives (SDEMPED), 2013

ABSTRACT Unbalance voltage supply in induction motor is a crucial problem. This paper proposes an... more ABSTRACT Unbalance voltage supply in induction motor is a crucial problem. This paper proposes an original system to detect an unbalance voltage condition in induction motor using Support Vector Machine (SVM). Induction motor current, as a signal due to the unbalance voltage supply in three-phase induction motor, is recorded in lab bench. The features of recorded signals are extracted by wavelet transform and Principal Component Analysis algorithm. Then, the quality of detection is classified by SVM, and the average result of detection is 86%.

Research paper thumbnail of Genetic programming function representation for Fuzzy Polar speed controller of induction motor

International Conference on Instrumentation, Communication, Information Technology, and Biomedical Engineering 2009, 2009

This paper presents a genetic programming (GP) function representation of fuzzy polar controller ... more This paper presents a genetic programming (GP) function representation of fuzzy polar controller (FPC) applied to Volt/Hertz closed loop induction motor speed control. The induction motor is modeled in terms of d-q axis with synchronous frame associated with the stator excitation frequency. The system is modeled and simulated under MATLAB/Simulink environment. Performances of the GP function controller are analyzed and

Research paper thumbnail of Data Mining Based Receiver Operating Characteristic (ROC) for Fault Detection and Diagnosis in Radial Distribution System

Abstract-This paper discusses data mining applications, especially the use of support vector mach... more Abstract-This paper discusses data mining applications, especially the use of support vector machines to identify a fault in the 13 nodes radial distribution system of IEEE standard. The identification process was carried out with support vector machine (SVM). Prior to the identification process by SVM, feature extraction was carried out using wavelet transformation for signal decomposition and signal size reduction.

Research paper thumbnail of Kebijakan Instrumen Akreditasi BAN-PT berbasis SN Dikti

Research paper thumbnail of PERANCANGAN JARINGAN RANTAI PASOK SAMPAH ORGANIK MENJADI PAKAN TERNAK LELE YANG OPTIMAL (Studi Kasus : Nusantara Recycling Center dan Kelurahan Kalipancur, Semarang)

Jurnal Ilmiah Teknik Industri

ABSTRAKSampah organik saat ini jumlahnya mencapai 60% dari produksi sampah setiap harinya. Di Kot... more ABSTRAKSampah organik saat ini jumlahnya mencapai 60% dari produksi sampah setiap harinya. Di Kota Semarang, terutama di Kelurahan Kalipancur yang memiliki kepedulian tinggi terhadap permasalahan lingkungan dan memiliki kesiapan di segala aspek, menjadi objek penelitian ini yang juga merupakan lokasi usaha NRC. Penelitian ini dilakukan untuk mengetahui persebaran potensi supplier sampah di Kelurahan Kalipancur dan merancang jaringan rantai pasok dari supplier sampah sampai ke end customer untuk peningkatan kapasitas produksi NRC. Berdasarkan hasil perhitungan menggunakan Solver dan metode Least Cost, diputuskan bahwa NRC meningkatkan kapasitas produksi dari 1 workshop menjadi 3 workshop sehingga total demand pakan ternak dalam sebulan yaitu 28675 kg terpenuhi dan kapasitas produksi masih tersisa 7205 kg sampah pada workshop 1. Jaringan rantai pasok NRC ini kemudian disimulasikan menggunakan ARENA untuk validasi jaringan rantai pasok yang terpilih.

Research paper thumbnail of Sag Voltage Identification on 30 KV Systems Affected by Electric Arc

This paper presents sag voltage identification on 3 0 kV system with electric arc furnace load. T... more This paper presents sag voltage identification on 3 0 kV system with electric arc furnace load. The identification of disturbance using wavelet transfo rmation. The proposed method can precisely identify sags caused by 3 disturbances: single-phase, two-ph ase, and three-phase short circuits, which occur in internally process of an electric arc furnace (EAF) . The identification procedure consists of 3 steps: preparation, wavelet energy calculation, analysis f or identification. The types of short circuit are d tected from the amount of energy during the EAF operation. The highest energy required indicates a three-phas e short circuit; however the lightest is for single-p hase short circuit. Simulation results from a typic al data show that a sag voltage in 0.55-0.75 pu for 0.201 s econds, containing wavelet energy average 0.434733, is caused by 3 types of short circuit in certain subse quent time.

Research paper thumbnail of Model dan Simulasi Alur Rantai Pasok Sampah Organik Menjadi Pakan Ternak Lele

Tekinfo: Jurnal Ilmiah Teknik Industri dan Informasi, 2020

Sampah yang paling banyak dihasilkan adalah sampah organik yaitu sebanyak 60% dibandingkan jenis ... more Sampah yang paling banyak dihasilkan adalah sampah organik yaitu sebanyak 60% dibandingkan jenis sampah yang lain. Sejauh ini NRC sudah mampu mengolah sampah organik untuk dijadikan produk pakan ternak lele atau pelet. Kapasitas produksi yang mampu dilakukan perusahaan NRC yaitu sebanyak 150 kg sampai 200 kg per hari, namun sampah organik yang diperoleh saat ini belum mampu mencapai kapasitas produksi yang diperlukan. Berdasakan hal tersebut, maka perlu diusulkan model rantai pasok sampah organik yang lebih baik untuk perusahaan NRC. Tujuan penelitian ini akan memetakan rantai pasok sampah organik menjadi pakan ternak lele. Model rantai pasok yang dibuat yaitu rantai pasok kondisi saat ini dan rantai pasok usulan. Luaran akhir penelitian akan membandingkan kondisi saat ini dan usulan model rantai pasok yang dibuat. Hasil simulasi dengan software arena menunjukkan perolehan sampah organik sebanyak 352 kg. Hal itu berarti sampah organik yang diperoleh perusahaan NRC dari ke-4 bank sam...

Research paper thumbnail of Perbandingan Tingkat Pengenalan Citra Diabetic Retinopathy Pada Kombinasi Principle Component Dari 4 Ciri Berbasis Metode SVM (Support Vector Machine)

Majalah Ilmiah Teknologi Elektro, 2016

Pattern recoqnition methods for image of diabetic retinopaty are influenced by differences in pig... more Pattern recoqnition methods for image of diabetic retinopaty are influenced by differences in pigmentation. To help diabetic retinopathy image recognition is required a software. This paper presents the results of research on pattern recognition image of diabetic retinopathy,This study used the image of the yellow canal with Gabor filter.Characteristics that are taken from each image is characteristic of the mean, variance, skewness and entropy, followed by feature extraction with PCA (Principle Component Analysis).At PCA feature extraction, square matrix whose number of columns equal to the number of features is generated.There are four features used. These features are 4 PCs (Principle Component), ie, PC1, PC2, PC3 and PC4.From the combination of these features, we obtained six pairs that consist of two traits. By using a linear model of SVM will been selected the pair with the highest accuracy value. Based on the analysis, we obtained a couple PC1 and PC2 models that have the highest levels of learning (100%) and the fastest recognition time, which is explicitly indicated by the smallest amount of support vector. Intisari-Metode pengenalan pola citra retinopati diabetik beserta setting poinnya dipengaruhi oleh perbedaan pigmentasi. Untuk membantu pengenalan citra retinopati diabetic dibutuhkan sebuah perangkat lunak. Makalah ini menyajikan hasil penelitian tentang pengenalan pola citra retinopati diabetik. Dalam penelitian tersebut digunakan citra kanal kuning (yellow), dengan filter Gabor. Ciri yang diambil dari tiap citra adalah ciri rerata (means), ragam (varians), skewness dan entropy, yang dilanjutkan dengan ekstraksi ciri PCA (Principle Component Analysis). Pada ekstraksi ciri PCA, dihasilkan matriks bujur sangkar, yang jumlah kolomnya, sama dengan jumlah ciri. Ada 4 ciri yang digunakan, yang merupakan 4 buah PC (Principle Component), yaitu, PC1, PC2, PC3 dan PC4. Keempat ciri tersebut dikombinasikan sehingga diperoleh 6 pasangan yang beranggotakan 2 ciri. Dengan mengunakan model linear dari SVM akan dipilih pasangan dengan nilai akurasi tertinggi. Berdasarkan hasil analisis diperoleh model pasangan PC1 dan PC2 yang memiliki tingkat pembelajaran tertinggi (100%) dan waktu pengenalan tercepat, yang secara eksplisit ditunjukkan dengan jumlah support vector terkecil.

Research paper thumbnail of Power quality analysis of variable frequency drives connected to a reactively compensated mixed load system

2016 International Seminar on Application for Technology of Information and Communication (ISemantic), 2016

This paper presents the results of study and analysis of the harmonic content and overall perform... more This paper presents the results of study and analysis of the harmonic content and overall performance of a system including Variable Frequency Drives along with capacitive compensator and Static VAr Compensator. Specifically, the cases of no compensation, capacitive compensation, and power electronic based static VAr compensation will be examined. A small-scale model of a system for the study was constructed in lab. Several cases were then performed and tested to simulate a system which contained both fixed and power electronic based harmonic generating loads. The performance of each case was evaluated based on total harmonic current and voltage distortions, true power factor, and RMS current levels at different points in the system. Comparative analysis based on the results will also be presented.

Research paper thumbnail of Diagnostics for Electric Machines, Power Electronics and Drives (SDEMPED), 2013 9th IEEE International Symposium on

Unbalance voltage supply in induction motor is a crucial problem. This paper proposes an original... more Unbalance voltage supply in induction motor is a crucial problem. This paper proposes an original system to detect an unbalance voltage condition in induction motor using Support Vector Machine (SVM). Induction motor current, as a signal due to the unbalance voltage supply in three-phase induction motor, is recorded in lab bench. The features of recorded signals are extracted by wavelet transform and Principal Component Analysis algorithm. Then, the quality of detection is classified by SVM, and the average result of detection is 86%.

Research paper thumbnail of Naïve Bayes classifier for temporary short circuit fault detection in stator winding

2013 9th IEEE International Symposium on Diagnostics for Electric Machines, Power Electronics and Drives (SDEMPED), 2013

ABSTRACT This paper is proposing Naïve Bayes classifier detection system to identify the symptom ... more ABSTRACT This paper is proposing Naïve Bayes classifier detection system to identify the symptom of stator winding deterioration. The proposed system is based on probabilistic classifier with strong independence assumption of each fault case. The temporary short circuit case is defined as non permanent short circuit fault with high impedance. This fault case is representing the early stage of stator insulation break down. The laboratory experiment is performed to simulate the fault cases consist of induction motor with stator modification and current measurement system. The detection system is trained to identify the temporary short circuit occurrence consist of transient starting, steady state and ending of temporary short circuit. The system is also tested using non trained data to clarify the detection performance.

Research paper thumbnail of Data Mining Based Receiver Operating Characteristic (ROC) for Fault Detection and Diagnosis in Radial Distribution System

IPTEK The Journal for Technology and Science, 2009

Research paper thumbnail of Fault Detection Using SVM Based Motor Current Signature Analysis for 3-Phase Induction Motors

Software Engineering and Applications/ 831: Advances in Power and Energy Systems, 2015

Research paper thumbnail of Early detection of unbalance voltage in three phase induction motor based on SVM

2013 9th IEEE International Symposium on Diagnostics for Electric Machines, Power Electronics and Drives (SDEMPED), 2013

ABSTRACT Unbalance voltage supply in induction motor is a crucial problem. This paper proposes an... more ABSTRACT Unbalance voltage supply in induction motor is a crucial problem. This paper proposes an original system to detect an unbalance voltage condition in induction motor using Support Vector Machine (SVM). Induction motor current, as a signal due to the unbalance voltage supply in three-phase induction motor, is recorded in lab bench. The features of recorded signals are extracted by wavelet transform and Principal Component Analysis algorithm. Then, the quality of detection is classified by SVM, and the average result of detection is 86%.

Research paper thumbnail of Genetic programming function representation for Fuzzy Polar speed controller of induction motor

International Conference on Instrumentation, Communication, Information Technology, and Biomedical Engineering 2009, 2009

This paper presents a genetic programming (GP) function representation of fuzzy polar controller ... more This paper presents a genetic programming (GP) function representation of fuzzy polar controller (FPC) applied to Volt/Hertz closed loop induction motor speed control. The induction motor is modeled in terms of d-q axis with synchronous frame associated with the stator excitation frequency. The system is modeled and simulated under MATLAB/Simulink environment. Performances of the GP function controller are analyzed and

Research paper thumbnail of Data Mining Based Receiver Operating Characteristic (ROC) for Fault Detection and Diagnosis in Radial Distribution System

Abstract-This paper discusses data mining applications, especially the use of support vector mach... more Abstract-This paper discusses data mining applications, especially the use of support vector machines to identify a fault in the 13 nodes radial distribution system of IEEE standard. The identification process was carried out with support vector machine (SVM). Prior to the identification process by SVM, feature extraction was carried out using wavelet transformation for signal decomposition and signal size reduction.

Research paper thumbnail of Kebijakan Instrumen Akreditasi BAN-PT berbasis SN Dikti