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All Journal International Journal of Electrical and Computer Engineering IAES International Journal of Artificial Intelligence (IJ-AI) JURNAL SISTEM INFORMASI BISNIS Bulletin of Electrical Engineering and Informatics AJIE (Asian Journal of Innovation and Entrepreneurship) CESS (Journal of Computer Engineering, System and Science) Jurnal Chemurgy ILKOM Jurnal Ilmiah EDUMATIC: Jurnal Pendidikan Informatika Reswara: Jurnal Pengabdian Kepada Masyarakat Jurnal Teknik Informatika (JUTIF) International Journal of Engineering, Science and Information Technology JSIKTI (Jurnal Sistem Informasi dan Komputer Terapan Indonesia) ELECTROPS : Jurnal Ilmiah Teknik Elektro

Didit Suprihanto, Didit

Fakultas Teknik, Universitas Mulawarman, Samarinda

Author-ID : 2378166

Religion Agriculture, Biological Sciences & Forestry Humanities Astronomy Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Mathematics Mechanical Engineering Physics Social Sciences Transportation

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SPK Sistem Pendukung Keputusan Promosi Kenaikan Jabatan dengan Fuzzy AHP di STMIK STIKOM Indonesia Sugiartawan, Putu; Suprihanto, Didit
Jurnal Sistem Informasi dan Komputer Terapan Indonesia (JSIKTI) Vol 2 No 4 (2020): June
Publisher : INFOTEKS (Information Technology, Computer and Sciences)

Employees who are placed according to their knowledge, skills, and abilities tend to have high motivation, so the resulting performance will also increase. To ensure the right person or employee in the right position too, employee selection has always been a very important part of the company organization, especially in high schools. The decision-making process for promotion of promotion can be completed with a decision support system used by managers as a support for information in solving problems to fill positions, where the performance function can calculate the consideration of each competency possessed by each HR. DSS can provide alternative solutions when a person or group of people is difficult to make the right and appropriate decision. DSS is not to replace the function of decision-makers in making decisions, but only as a tool for decision-makers in carrying out their duties. THE fuzzy AHP method is able to determine the weight with the comparison value of each criterion, and this model Fuzzy-AHP method can cover the limitations of the AHP method, namely imprecision in overcoming Multi-criteria decision making which has subjective criteria. With this method approach, the ranking results of the determination of the position are obtained in accordance with the preferences of the decision-maker

Sistem Informasi Akuntansi Pada PT. Pradnyana Artha Mandiri Sugiartawan, Putu; Suprihanto, Didit
Jurnal Sistem Informasi dan Komputer Terapan Indonesia (JSIKTI) Vol 3 No 2 (2020): December
Publisher : INFOTEKS (Information Technology, Computer and Sciences)

The financial management business process of PT. Pradnyana Artha Mandiri records are carried out by using bookkeeping, which can result in damage and loss of these data, the recapitulation of report preparation will take a long time because you have to double-check all transactions that occur and are prone to errors and manipulations that will affect company revenues because it does not have a good data monitoring system. Based on the above background, the formulation of the problem in the research is How to Design and Build a financial information system in a company, while the research objective to be achieved in the reporting process is to be able to design and build a company financial information system. The benefits that can be obtained from the results of this study are expected to assist in the processing of transactions, making it easier in making financial reports, and the results of this study are expected to be useful and can be used as input for companies to improve employee performance. As for the writing of this research, the problem is limited so as not to deviate from the problems that have been formulated. These limitations include this system does not discuss employee payroll, the system created discusses the calculation of transaction data which includes incoming transactions, outgoing transactions, general journal reports, big reports as well as the company's income statement.

Sistem Informasi Pengolahan Surat Masuk Dan Keluar Berbasis Website Pada SD Negeri 3 Sesetan Denpasar Sugiartawan, Putu; Palus, Petrus; Suprihanto, Didit
Jurnal Sistem Informasi dan Komputer Terapan Indonesia (JSIKTI) Vol 3 No 3 (2021): March
Publisher : INFOTEKS (Information Technology, Computer and Sciences)

Mail management is a tangled thread that becomes the main problem in a company or organization. The information contained in the letter is an essential part of maintaining the confidentiality of data. Maintaining the integrity of the data becomes an essence that must be resolved in an organized manner so that incoming letters can be structured in a structured way and make it easier to search for these letters in the future. In general, the processing of incoming and outgoing mail is grouped and managed by similar grouping documents. The mail processing process still uses a number system or an agenda book, so document archiving is not optimal and less efficient in mail processing. To makes letters more organized, an information system is needed that can record and store the process of receiving letters. Using information systems directly can shorten searching for letters and storing notes in a more well-structured manner. The grouping of letters using the classification model of the decision tree algorithm can organize letters into specific groups. The set aims to speed up searching for correspondence information and the grouping to be more well structured. This study aims to build a mail processing information system. The system built can manage incoming and outgoing mail data. The research conducted in building this system is qualitative research by observing the research object.

Sistem Pendukung Keputusan Kelompok Promosi Jabatan Menggunakan Metode Fuzzy Profile Matching Yudiana, I Made; Sugiartawan, Putu; Suprihanto, Didit
Jurnal Sistem Informasi dan Komputer Terapan Indonesia (JSIKTI) Vol 4 No 1 (2021): September
Publisher : INFOTEKS (Information Technology, Computer and Sciences)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33173/jsikti.126

In a corporate organization, human resources are a very important element to support progress and quality in achieving the goals of the company. The most important thing that can be done by the company, namely the employee selection process, in order to guarantee the right candidate in the right position as well. In this study, we will discuss the methods that can be applied in the career path process in an organization. Problems that often occur, such as being difficult to determine the right person to fill a position, mistargeting in the promotion process, because it is only judged from several criteria, then promotions are less transparent and not objective. By implementing a group decision support system (SPKK), where the opinions of several decision makers can be accommodated, as well as in problem solving and communication occurs in a group. This study uses the profile matching method, because it can provide an assessment of the potential of each employee candidate by comparing the employee's personal profile with the profile of the position in question, combined with fuzzy logic so that the original value obtained by the alternative remains consistent from the beginning to the ranking process. The results obtained in the form of ranking reports using the borda method, based on calculations from the fuzzy profile matching method, are expected to help company organizations to facilitate the promotion process.

Classification of Tuberculosis and Pneumonia Lung Diseases in X-Ray Images Using the CNN Method with VGG-19 Architecture Sri Murdhani, I Dewa Ayu; Ismanto, Heru; Suprihanto, Didit
Jurnal Sistem Informasi dan Komputer Terapan Indonesia (JSIKTI) Vol 8 No 2 (2025): December
Publisher : INFOTEKS (Information Technology, Computer and Sciences)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33173/jsikti.269

Tuberculosis (TB) and Pneumonia continue to be among the world’s leading causes of morbidity and mortality, particularly in low- and middle-income countries where access to advanced diagnostic tools remains limited. Conventional radiological interpretation, while effective, heavily depends on the experience and precision of radiologists, resulting in potential subjectivity and diagnostic variability. This study proposes a fully automated classification framework for lung disease detection using a Convolutional Neural Network (CNN) based on the VGG-19 architecture. The model aims to enhance diagnostic accuracy and reliability by leveraging deep learning techniques capable of capturing subtle radiographic patterns that may not be readily identifiable by human observers. A dataset of 3,623 chest X-ray images—divided into Normal, Pneumonia, and Tuberculosis classes—was compiled from Kaggle and Mendeley Data repositories. Preprocessing techniques including Contrast Limited Adaptive Histogram Equalization (CLAHE), cropping, resizing, and normalization were employed to enhance contrast and minimize noise. The model was trained and tested under four data-split configurations (80:20, 70:30, 60:40, and 50:50) to assess generalization capability. The 70:30 configuration achieved optimal performance, recording 96% accuracy, 97% precision, 95% recall, and a 96% F1-score. These findings demonstrate that the VGG-19 model can accurately distinguish between TB, Pneumonia, and Normal cases, providing a reliable foundation for AI-driven medical diagnosis. Future research will focus on dataset expansion, interpretability enhancement using Explainable AI (XAI), and the integration of this model into clinical decision-support systems.

Multiperson Automated Attendance System Based on Face Recognition Using YOLO and DeepFace with Active Learning Suprihanto, Didit; Wirawan, Adi Pandu; Saputra, Kahlil Gibran; Harjanto, Arif; Hakim, Imam Muhammad; Nugroho, Happy
International Journal of Engineering, Science and Information Technology Vol 5, No 4 (2025)
Publisher : Malikussaleh University, Aceh, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52088/ijesty.v5i4.1772

Accurate student attendance tracking is essential in academic environments, yet traditional methods remain inefficient and vulnerable to manipulation. This research presents a classroom attendance system based on facial recognition that integrates YOLO for multiperson face detection and the SFace model from the DeepFace framework for feature extraction and identity matching. A key contribution of this study is the implementation of an Active Learning mechanism that enables the system to update its embedding Database using user-provided corrections, enabling continuous adaptation to real classroom conditions. The system was developed as a Python-based desktop application and evaluated using 38 group images captured with various devices under uncontrolled lighting, diverse head poses, occlusion, and different classroom densities. Performance was assessed using accuracy, False Rejection Rate (FRR), and False Acceptance Rate (FAR) across two scenarios: before and after Active Learning. Experimental results show a substantial improvement after the learning process, with accuracy increasing from 52.0% to 96.6%, while maintaining a low FAR of 0%. These findings demonstrate that Active Learning effectively enhances recognition performance by enriching the embedding Database with real-world facial variations that do not present during initial registration. Overall, the proposed system highlights the importance of integrating Active Learning into face recognition–based attendance applications to improve robustness and adaptability in unconstrained multiperson classroom environments.

Design and Build of IoT Based Flood Prone Monitoring System at Semani’s Pump House Drainage System 'Aisyah, 'Aisyah; Burhandenny, Aji Ery; Nugroho, Happy; Suprihanto, Didit
ILKOM Jurnal Ilmiah Vol 15, No 2 (2023)
Publisher : Prodi Teknik Informatika FIK Universitas Muslim Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33096/ilkom.v15i2.1581.303-316

Floods are a common disaster in watersheds, and flood control is difficult. However, losses can be reduced by quickly disseminating alert status information. This paper proposes a prototype of a monitoring system that can determine the status of flood alerts in real time and quickly disseminating to the community, allowing people to be better prepared for flood disasters. The system was developed using the RD method and consists of hardware and software development. The hardware comprises several sensor modules to read the discharge, temperature, humidity, and water level and to transmit the readings to the software. The software is divided into two applications: a website application and a Telegram application. The public can find the flood alert status history data from the website and obtain flood alert status warning messages and the latest alert status from Telegram. The results of the tests indicated that the sensors were very accurate, with a MAPE value of less than 10%. The software test also showed that the input and output were according to design. The proposed system can potentially reduce flood losses by providing early warning information to the community. The system is also scalable and adaptable to other watersheds.

Co-Authors 'Aisyah, 'Aisyah Afrilla, Lidwina Nadya Agus Qomaruddin Munir Aji Ery Burhandenny Alfarez Marchelian, Reyno Amirul Hadi, Amirul Andri Syafrianto Anindita Septiarini, Anindita Ari Susandi Sanjaya Ari Susandy Sanjaya, Ari Susandy Arif Harjanto Arif Harjanto Aris Sugiharto Aryani., Retno Bambang Purnama Bangkit Bekti Nurdianto Bintang Pradana Yosua, Panky Budi Nining Widarti Budi Rahmani Budi Yannur Burhandenny, Aji Ery Delwizar, Muhammad Arya Dermawan, Muhammad Ali Dhea Yolanda Edhi Sarwono Ery Burhandenny, Aji Fatkhul Hani Rumawan Fatmawati Patang Hairul Huda Hakim, Imam Muhammad Hamdani Hamdani Hamdani Hamdani Happy Nugroho Haviluddin Haviluddin Heru Ismanto Hetty Manurung Hetty Manurung, Hetty Hidayat, Aldi Muhammad Ipung Permadi Iqbal Iqbal Lasmedi Afuan Muhammad Akbar Muslimin Muslimin Nugroho, Happy Nugroho3, Rudy Agung Nurmadewi, Dita Nurul Hidayat Olivia Angelica Murtioso Palus, Petrus Prahastika, Widha Pranoto, Sarwo Purnama, Bambang Puspitasari, Novianti PUTU SUGIARTAWAN Rahmadhani, Rizal Restu Mukti Utomo Retno Aryani. Rudianto Rudianto Rudianto Rudianto Rudy Agung Nugroho Rumawan, Fatkhul Hani Saipul, Saipul Sali, Apriyanto Salsabila, Nur Maya Sanjaya, Ari Susandi Saputra, Kahlil Gibran Sari, Wulan Iyhig Ratna Sri Murdhani, I Dewa Ayu Tejawati, Andi Toni Prahasto Viny Christanti M Wati, Masna Widha Prahastika Wirawan, Adi Pandu Wulan Iyhig Ratna Sari Yudi Sukmono Yudiana, I Made Yulianto, Fransiskus Federico

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