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All Journal International Journal of Electrical and Computer Engineering JURNAL SISTEM INFORMASI BISNIS TELKOMNIKA (Telecommunication Computing Electronics and Control) Prosiding Seminar Nasional Sains Dan Teknologi Fakultas Teknik Speed - Sentra Penelitian Engineering dan Edukasi Telematika Jurnal Transformatika Jurnal Informatika Upgris E-Dimas: Jurnal Pengabdian kepada Masyarakat JOIN (Jurnal Online Informatika) Prosiding 2nd Seminar Nasional IPTEK Terapan (SENIT) 2017 Sinkron : Jurnal dan Penelitian Teknik Informatika Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Bianglala Informatika : Jurnal Komputer dan Informatika Akademi Bina Sarana Informatika Yogyakarta Indonesian Journal on Software Engineering (IJSE) JURNAL PENGABDIAN KEPADA MASYARAKAT Sarwahita : Jurnal Pengabdian Kepada Masyarakat EVOLUSI : Jurnal Sains dan Manajemen Jurnal Program Kemitraan dan Pengabdian Kepada Masyarakat Indonesian Journal of Networking and Security - IJNS Abdiformatika: Jurnal Pengabdian Masyarakat Informatika Jurnal Pengabdian Mitra Masyarakat (JPMM) Jurnal Sistem Informasi
Victor Gayuh Utomo
Program Studi Sistem Informasi, Fakultas Teknologi Informasi Dan Komunikasi, Universitas Semarang
Agriculture, Biological Sciences & Forestry Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Law, Crime, Criminology & Criminal Justice Library & Information Science Medicine & Pharmacology Social Sciences Other

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Journal : Jurnal Transformatika

 1 
SISTEM PAKAR DIAGNOSA KERUSAKAN PADA MOTOR MATIC VARIO BERBASIS WEB Wicaksono, Imam; Hakim, Fitro Nur; Utomo, Victor Gayuh
Jurnal Tr@nsForMat!ka Vol 13, No 2 (2016)
Publisher : Jurusan Teknologi Informasi Universitas Semarang

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

Abstract

Vario matic motorcycle riders do not know the constraints Vario matic motor damage and tend to leave the constraints of damage to the mechanical motor matic Vario without knowing that the actual damage is a simple damage, but if the rider had knowledge of treatment damages the motor matic Vario Vario matic handling damage can be done solely by the rider so that handling damage can be handled immediately without having to wait for a motorcycle repaired in the workshop. This study aims to produce rules as a knowledge base for damage matic based on the symptoms of damage and produce an expert system for diagnosis of the motor and electrical damage in the motor vehicle Vario matic. Methods in the design of this expert system uses an expert system dengen stages 6 stages, namely the identification, conceptualization, formalization, implementation, evaluation and development system. Diagnosis expert system Vario matic damage to the motor can be used to solve the problem of damage to motor matic vario diagnosis because it can give a diagnosis of any type of damage to the value of the probability of occurrence of each type of damage. 
SISTEM PAKAR DIAGNOSA KERUSAKAN PADA MOTOR MATIC VARIO BERBASIS WEB Imam Wicaksono; Fitro Nur Hakim; Victor Gayuh Utomo
Jurnal Transformatika Vol 13, No 2 (2016): January 2016
Publisher : Jurusan Teknologi Informasi Universitas Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26623/transformatika.v13i2.327

Abstract

Vario matic motorcycle riders do not know the constraints Vario matic motor damage and tend to leave the constraints of damage to the mechanical motor matic Vario without knowing that the actual damage is a simple damage, but if the rider had knowledge of treatment damages the motor matic Vario Vario matic handling damage can be done solely by the rider so that handling damage can be handled immediately without having to wait for a motorcycle repaired in the workshop. This study aims to produce rules as a knowledge base for damage matic based on the symptoms of damage and produce an expert system for diagnosis of the motor and electrical damage in the motor vehicle Vario matic. Methods in the design of this expert system uses an expert system dengen stages 6 stages, namely the identification, conceptualization, formalization, implementation, evaluation and development system. Diagnosis expert system Vario matic damage to the motor can be used to solve the problem of damage to motor matic vario diagnosis because it can give a diagnosis of any type of damage to the value of the probability of occurrence of each type of damage. 
Pengembangan E-Modul Berbantuan Flipbook Berbasis Literasi Untuk Mata Kuliah Statistika Kusumaningrum, Yulinda; Utomo, Victor Gayuh; Ellyawati, Hetty Catur; Maulana, Charis
Jurnal Transformatika Vol. 22 No. 1 (2024): July 2024
Publisher : Jurusan Teknologi Informasi Universitas Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26623/transformatika.v22i1.10233

Abstract

Statistics is the basis for studying other subjects in the Informatics Engineering Study Program. However, some lecturers have not used teaching materials such as interactive modules to help students learn statistics. For this reason, research is needed which aims to (1) develop literacy-based Flipbook-assisted interactive e-modules in statistics courses that are valid, (2) determine the practicality of literacy-based Flipbook-assisted interactive e-modules in statistics courses for students. This type of research is Research and Development (R&D). The research subjects were 30 Informatics Engineering students taking Statistics courses. The development steps in this research are using ADDIE, namely Analysis, Design, Development, Implementation, and Evaluation. The research results obtained: 1) the literacy-based flipbook-assisted e-module that was developed was declared valid/feasible with an average percentage of material experts of 80% and media experts of 85.41%, 2) the flipbook-assisted interactive e-module that was developed met the criteria practically with a percentage reaching 75%.
Usability Test of Mental Health Application MoodPath with Software Usability Measurement Inventory Utomo, Victor Gayuh; Widhiastuti, Hardani; Heryanti, Rini; Susilo, Markus Nanang I. B.
Jurnal Transformatika Vol. 23 No. 1 (2025): July 2025
Publisher : Jurusan Teknologi Informasi Universitas Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26623/transformatika.v23i2.12041

Abstract

MoodPath is a mobile application for mental health. The application uses Patient Health Questionnaire 9 (PHQ-9) and General Anxiety Disorder 7 (GAD-7) to assess mental health of its users. The study held usability test using Software Usability Measurement Inventory (SUMI) questionnaire with 27 respondents. MoodPath application got usability value of 46.26 that is Below Average in Global SUMI scales. The value is also related with every individual scale in SUMI. The Efficient, Affect, Helpfulness and Control scales have Below Average value. Only the Learnability scale has Above Average value. The usability result is reached with 95% Confidence Interval. Based on the IT skill, respondents with better IT skill gave lower usability score compared to respondent with lesser IT skill. The research also found that familiar UI and standard questionnaire (PHQ-9 and GAD-7) gave positive usability in Learnability and Efficiency scale. The research found that MoodPath application need to consider wider range of users by giving feature that not only satisfied people with lesser IT skill but also people with better IT skill. Based on the usability test, the MoodPath application may improve the usability by providing ‘Remember Me’ and result saving features.
Benchmarking IndoBERT and Transformer Models for Sentiment Classification on Indonesian E-Government Service Reviews Dhendra; Gayuh Utomo, Victor
Jurnal Transformatika Vol. 23 No. 1 (2025): July 2025
Publisher : Jurusan Teknologi Informasi Universitas Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26623/transformatika.v23i1.12095

Abstract

The rapid adoption of e-government services in Indonesia has increased the importance of understanding public sentiment toward digital platforms. This study presents a comparative analysis of five models—IndoBERT, mBERT, XLM-R, CNN, and BiLSTM—for sentiment classification on user reviews of NEWSAKPOLE, a public service application for vehicle tax and licensing. A custom dataset of 11,000+ reviews was scraped from the Google Play Store and labeled using a hybrid rating-based and manual validation approach. Each model was evaluated using accuracy, precision, recall, and F1-score. IndoBERT achieved the highest performance with an F1-score of 0.882, outperforming multilingual and classical deep learning models. Confusion matrix analysis showed that transformer-based models were more effective in detecting neutral and mixed sentiments, while CNN and BiLSTM struggled with misclassification. The results highlight IndoBERT's robustness in low-resource sentiment analysis and its potential to enhance public service monitoring and policy feedback mechanisms in Indonesian digital governance.
Co-Authors ., Pranoto Agusta Praba Ristadi Pinem Apriyanto, Riski Ardima, Muhammad Basyier Arief Hidayat Arief Hidayat Arief Hidayat Aris Sugiharto Astrid Novita Putri, Astrid Bernadus Very Christoko Dhendra Febrian Wahyu Christanto Fitro Nur Hakim Galih Setiarso Handayani, Sri Hardani Widhiastuti Hassanudin, Wahyu Maulana Henny Indriyawati Henry Anggoro Djohan Henry Anggoro Djohan Heryanti, Rini Hetty Catur Ellyawati, Hetty Catur Imam Wicaksono Kumkamdhani, Tirta Yurista Kusumaningrum, Yulinda Maulana, Charis Nur Hakim, Fitro Nur Wakhidah Nurtriana Hidayati P Purwanto Pinem, Agusta Pranoto . Prind Triajeng Pungkasanti, Prind Triajeng Rahmat Gernowo Rastri Prathivi Rudi Hermawan Rudy Hartadi Rudy Hartadi Saifur Rohman Cholil Setiarso, Galih Siti Asmiatun, Siti Susilo, Markus Nanang I. B. Tirta Yurista Kumkamdhani Toni Wijanarko Adi Putra