Diponegoro University Information Systems Doctoral Exam

Diponegoro University Information Systems Doctoral Exam

Undip Information Systems Doctoral Promotion Exam
Dr. Marita Prasetyani, a private lecturer from Polines University Semarang, conducted a dissertation research entitled “Determination of Potential Locations for the Development of New Rest Areas on Highways Based on Google Maps Data and Multi-Criteria Analysis” and led her to earn a Doctorate in the Undip Information Systems Doctoral Study Program (DSI), with a GPA of 4.00 with Cumlaude predicate, study period of 3 years 10 months
Dr. Marita Prasetyani is a lecturer, successfully earned a doctorate after defending her dissertation in an open examination before the examiners at the Undip Pascasrajana Building on Monday, June 16, 2025.
Acting Examiner Team:
Examiner Team:
1. Prof. lr. Mochamad Agung Wibowo, M.M., M.Sc., Ph.D. (Chairman of the Session / Examiner)
2. Prof. Dr. Rahmat Gemowo, M.Si (Secretary of the Session / Examiner)
3. Prof. If. Daniel H.F. Manongga, M.Sc., Ph.D. (External Examiner / Satya Wacana Christian University Salatiga)
4. Prof. Dr. Heri Sutanto, S.Si., M.Sc., F.Med. (Examiner 1 / Faculty of Science and Mathematics
Undip)
5. Ir. Aghus Sofwan, S.T., M.T., Ph.D., IPU (Examiner 2 / Faculty of Engineering Undip)
6. Prof. Dr. Drs. Catur Edi Widodo, M.T. (Co Promoter / Faculty of Science and Mathematics)
7. Prof. Dr. Ir. R. Rizal 1snanto, S.T., M.M., M.T., fPU, ASEAN Eng (Promoter / Faculty of Engineering Undip)
According to Dr. Marita Prasetyani said that this dissertation discusses the Development of a Potential Location Determination Model for the Development of New Rest Areas on Highways Based on Google Maps Data and Multi-Criteria Analysis
” said Marita Prasetyani

UNDIP INFORMATION SYSTEMS DOCTORAL EXAM

UNDIP INFORMATION SYSTEMS DOCTORAL EXAM

Undip Information Systems Doctoral Promotion Exam
Dr. Lendy Rahmadi, a lecturer at Lembah Dempo University, South Sumatra, conducted a dissertation research entitled “Development of Hydroponic Nutrient Film Technique (NFT) Systems Automation Simulation Model for Lettuce Plants Using ARlMA and Prophet Comparison Results” and led him to earn a Doctorate in the Undip Information Systems Doctoral Study Program (DSI), with a GPA of 4.00 with Cumlaude predicate, study period of 2 years 10 months
Dr. Lendy Rahmadi is a lecturer, successfully earned a doctorate after defending his dissertation in an open examination before the examiners at the Undip Pascasrajana Building on Thursday, June 12, 2025.
Acting Examiner Team:
Examiner Team:
1. Prof. Ir. Mochamad Agung Wibowo, M.M., M.Sc., Ph.D. (Chairman of the First Examiner Session)
2. Prof. Dr. Rahmat Gernowo, M.Si (Secretary of Session I Examiner)
3. Prof. Bernardinus Harnadi, S.T., M.T., Ph.D. (External Examiner I Unika Soegijapranata
Semarang)
4. Prof. Dr. Iwan Setiawan, S.T., M.T. (Examiner I I Faculty of Engineering Undip)
5. Dr. Wahyudi, S.T., M.T. (Examiner 2 I Faculty of Engineering Undip)
6. Prof. Dr. Ridwan Sanjaya, S.E., S.Kom., MS.IEC (Co Promoter I Unika Soegijapranata
Semarang)
7. Prof. Dr. Ir. Hadiyanto, S.T., M.Sc., IPU (Promoter I Faculty of Engineering Undip)
According to Dr. Lendy Rahmadi said that this dissertation discusses the Development of a Simulation Development Model for Hydroponic Automation of Nutrient Film Technique (NFT) Systems for Lettuce Plants Using Comparison Results of ARlMA and Prophet
” said Lendy Rahmadi

Undip Information Systems Doctoral Promotion Exam

Undip Information Systems Doctoral Promotion Exam

Undip Information System Doctoral Promotion Exam
Dr. Kiswanto, a lecturer from Atma Luhur University, Pangkalpinang, conducted a dissertation research entitled “Development of Texture Image Classification Model of Various Types of Meat
Using Wavelet Approach and Gray Level Co-occurrence Matrix
(GLCM)” and led him to earn a Doctorate in the Undip Information System Doctoral Study Program (DSI), with a GPA of 4.00 with Cumlaude predicate, study period of 2 years 9 months
Dr. Kiswanto is a lecturer, successfully earned a doctorate after defending his dissertation in an open examination before the examiners at the Undip Pascasrajana Building on Tuesday 10, June 2025.
Acting Examiner Team:
Examiner Team:
1. Prof. Ir. Mochamad Agung Wibowo, MM., M.Sc., Ph.D (Chairman of the Session)
2. Prof. Dr. Rahmat Gernowo, M.Si (Secretary of the Session)
3. Prof. Dr. Eri Prasetyo Wibowo, S.Si., MMSI (External Examiner/Gunadarma University)
4. Prof. Dr. Ir. R Rizal Isnanto, S.T., M.M., M.T., IPU, ASEAN Eng (Examiner 1/Faculty of Engineering, Undip)
5. Prof. Dr. Drs. Catur Edi Widodo., M.T (Examiner 2/Faculty of Science and Mathematics, Undip)
6. Prof. Dr. Ir. Eko Sediyono, M.Kom (Co-Promoter/Satya Wacana Christian University)
7. Prof. Dr. Ir. Hadiyanto., S.T., M.Sc., IPU (Promoter/Faculty of Engineering, Undip)
According to Dr. Kiswanto said that this dissertation discusses the Development of Texture Image Classification Models for Various Types of Meat
Using the Wavelet Approach and Gray Level Co-occurrence Matrix (GLCM)
” said Kiswanto

Dissertation Examination of Doctoral Program in Information Systems, Diponegoro University

Dissertation Examination of Doctoral Program in Information Systems, Diponegoro University

Undip Information Systems Doctoral Promotion Exam
Dr. Rizky Parlika conducted a dissertation research entitled “Development of Prediction Models to Support Cryptocurrency Investment Decisions Using the RISP-DM DRM Approach” and led him to earn a Doctorate degree in the Undip Information Systems Doctoral Study Program (DSI), with a GPA of 4.00 with Cumlaude predicate, study period 3 years 6 months 3 days
Dr. Rizky Parlika is an Entrepreneur, successfully earned a doctorate after defending his dissertation in an open examination before the examiners at the Undip Pascasrajana Building on Monday, May 26, 2025.
Acting Examiner Team:
To:
1. Prof. Ir. Mocharnad Agung Wibowo, M.M., M.Sc” Ph,D. (Head of the First Examiner Session)
2. Prof. Dr. Rahmat Gemowo, M.Si (Secretary of the First Examiner Session)
3. Prof. Dr. Muljono, S.Si., M.Kom (External Examiner I Dian Nuswantoro University Semarang)
4, Dr. Maman Somantri, S,T., M,T. (Examiner 1 I Faculty of Engineering Undip)
5. Dinar Mutiara Kusumo Nugraheni, S.T., M.lnfoTech.(Comp)., Ph.D. (Examiner 2 I Faculty of Science and Mathematics Undip)
6. Dr, Basuki Rahmat, S.Si., M.T, (Co Promoter I UPN Veteran Surabaya)
7. Prof. Dr. Ir. R. Rizal Isnanto, S.T., M.M., M.T., IPU, ASEAN Eng (Promoter I Faculty of Engineering Undip)
According to Dr. Rizky Parlika, this dissertation discusses the Development of Prediction Models to Support Investment Decisions
Cryptocurrency Using the RISP-DM DRM Approach
” said Dr. Rizky Parlika

Undip Information System Doctoral Promotion Exam
Dr. Nanang Sulaksono conducted a dissertation research entitled “Development of Convolutional Neural Network (CNN) Model for Kidney Disease Detection Based on Axial Computed Tomography (CT) Scan Images” and led him to earn a Doctorate degree in the Undip Information System Doctoral Study Program (DSI), with a GPA of 4.00 with Cumlaude predicate, study period 3 years 4 months 3 days
Dr. Nanang Sulaksono is an Entrepreneur, successfully earned a doctorate after defending his dissertation in an open examination before the examiners at the Undip Pascasrajana Building on Tuesday, May 7, 2025.
Acting Examiner Team:
yth,

1. Prof. Ir. Mochamad Agung Wibowo, M.M., M.Sc., Ph.D. (Chairman of the Session / Examiner)
2. Prof. Dr. Rahmat Gemowo, M.Si (Secretary of the Session / Examiner)
3. Prof. Dr. Ridwan Sanjaya, S.E., S.Kom., MS.IEC (External examiner / Soegijapranata University Semarang)
4. Prof. Dr. Tri Retnaningsih Soeprobowati, M.App.Sc (Examiner 1 / Faculty of Science and Mathematics Undip)
5. Prof. Dr. Heri Sutanto, S.Si., M.Si., F.Med. (Examiner 2 / Faculty of Science and Mathematics Undip)
6. Prof. Dr. Ir. R. Rizallsnanto, S.T., M.M., M.T., IPU, ASEAN Eng (Co-Promoter / Faculty of Engineering, Undip)
7. Prof. Dr. Kusworo Adi, S.Si., M.T. (Promoter / Faculty of Science and Mathematics, Undip)
According to Dr. INanang Sulaksono, this dissertation discusses the Development of Convolutional Neural Network (CNN) Models for Kidney Disease Detection Based on Axial Computed Tomography (CT) Scan Images,” said Dr. Nanang Sulaksono