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All Journal International Journal of Electrical and Computer Engineering IJCCS (Indonesian Journal of Computing and Cybernetics Systems) TELKOMNIKA (Telecommunication Computing Electronics and Control) Proceeding of the Electrical Engineering Computer Science and Informatics JOIV : International Journal on Informatics Visualization Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) JURNAL MEDIA INFORMATIKA BUDIDARMA Indonesian Journal of Artificial Intelligence and Data Mining PROCESSOR Jurnal Ilmiah Sistem Informasi, Teknologi Informasi dan Sistem Komputer MATRIK : Jurnal Manajemen, Teknik Informatika, dan Rekayasa Komputer Jurnal Ilmiah Media Sisfo Systematics Zonasi: Jurnal Sistem Informasi Jurnal Informasi dan Teknologi Jurnal Informatika Ekonomi Bisnis Jurnal Computer Science and Information Technology (CoSciTech) AJARCDE (Asian Journal of Applied Research for Community Development and Empowerment) Prosiding Seminar Nasional Sisfotek (Sistem Informasi dan Teknologi Informasi) Jurnal Komtekinfo Jurnal Informatika Ekonomi Bisnis Journal Medical Informatics Technology

Jufriadif Na`am, Jufriadif

Universitas Putra Indonesia YPTK

Author-ID : 551130

Agriculture, Biological Sciences & Forestry Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Dentistry Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Languange, Linguistic, Communication & Media Library & Information Science Medicine & Pharmacology Public Health

Published : 49 Documents Claim Missing Document

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Articles

Title

Pengukuran Tinggi Sebenarnya Objek pada Foto Digital Menggunakan Euclidean Distance Rakhmad Kuswandhie; Jufriadif Na’am; Yuhandri Yuhandri
Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Vol 2 No 1 (2018): April 2018
Publisher : Ikatan Ahli Informatika Indonesia (IAII)

Digital photos are generated from the camera. In the photo there are some object that can be observed. The object in images is a representation of the fact that in the real world. The size of an object in a digital image can represent the true size of an image object with a certain size scale. The actual size of the object in the photo can not be known directly. Digital photos used in the research is the image generated from the camera phone with 8MB resolution and the distance of the camera to photo objects as far as 1, 3 and 5 meters with 3 different objects, ie gallons, chairs and legs. The size of objects in a digital image will be measured using an application created with the C # programming language. Measuring objects in photos using Euclidean Distance. Next is calculated the actual size of the object that is in the photo by using trigonometric function. The test result of 3 objects on digital photos with 3 different distances obtained the actual object size with an accuracy are 99,993%.

Identifikasi Anggota dalam Penempatan pada Struktur Organisasi menggunakan Metode Profile Matching Ahmadi Ahmadi; Sarjon Defit; Jufriadif Na’am
Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Vol 2 No 2 (2018): Agustus 2018
Publisher : Ikatan Ahli Informatika Indonesia (IAII)

The organization of a political party is one organization that must have an organizational structure. Each cadre who sits in the structure must have skills that match his field. The goal is for the organization to grow better. For each cadre to occupy the appropriate structure, identification must be performed. The method used to identify is Profile Matching on the data of each prospective member. Based on the test results obtained cadre with a special aspect of 60% and the general aspect of 40% is the right one. Then this method is suiTabel to be used in identifying cadres who will occupy positions in organizational structure.

Tingkat Prediksi Pendaftar Ujian Kompetensi Laboratorium Menggunakan Metode Least Square Gunadi Bin Senitio; Julius Santony; Jufriadif Na’am
Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Vol 2 No 3 (2018): Desember 2018
Publisher : Ikatan Ahli Informatika Indonesia (IAII)

Services for laboratory competency test participants must be increased for each period. With the number of participants fluctuating, the laboratory must prepare and predict how many facilities will be used to support these activities, such as laboratory rooms, exam questions, and other equipment. To overcome this problem, a method is needed to predict the number of participants in the coming period. In this study, the Least Square method is used to predict participants in the next period. This method managed to get the number of predictions in the coming period with a prediction error rate of 9.99% using the Mean Absolute Percentage Error (MAPE). The empirical results show that this research is very helpful for the laboratory in preparing laboratory competence examination facilities

Analisis Perbandingan Perbaikan Kualitas Citra Pada Motif Batik Dengan Konsep Deteksi Tepi Robert, Sobel, Canny Menggunakan Metode Morfologi Muhammad Abrar Masril; Yuhandri; Jufriadif Na’am
Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Vol 3 No 1 (2019): April 2019
Publisher : Ikatan Ahli Informatika Indonesia (IAII)

Image results from quality edge detection are not optimal. From these problems a method is needed to improve the image quality of edge detection. The method used is Dilation Morphology on the results of edge detection of batik patterns. The results of testing the improved image quality of edge detection 10 batik patterns using Dilation Morphology show that Canny operators are able to produce very high accuracy from operators Robert and Sobel, with the percentage of Canny operators is 80%. While Robert operators with a percentage of 40% and Sobel operators 60%. The application of Dilation Morphology to operators Robert, Sobel and Canny can improve image quality of edge detection and improve accuracy in batik patterns.

Sistem Pakar Identifikasi Modalitas Belajar Siswa Menggunakan Metode Forward Chaining Asep Kurniawan; Sumijan; Jufriadif Na’am
Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Vol 3 No 3 (2019): Desember 2019
Publisher : Ikatan Ahli Informatika Indonesia (IAII)

Student learning modalities are important to be identified by teachers and students. Because the success of students in the field of academics is supported by the appropriate student learning modalities. Often occurs in the process of teaching and learning teachers do not know the modalities of student learning so that the material in teaching teachers difficult to accept by students. Appropriate learning modalities that are in accordance with the methods taught by the teacher need to be built in an Expert System. Expert System that is processed in this research is taken from the expertise of teachers of Senior High School Counseling Guidance 1 Tilatang Kamang by using Forward Chaining method. Learning modalities are processed using expert systems created with php programming languages and mysql databases. Furthermore, this expert system can determine the modalities of visual learning, auditory and kinesthetic. The result of testing on this method is able to determine the learning modality in the students with the accuracy and the speed is good. Expert system test results have been able to determine student learning modalities clearly and can already be recommended to help teachers and students in improving the way students learn the right.

Sistem Pakar Diagnosis Penyakit Jamur pada Manusia Menggunakan Input Suara Berbasis Android Feriantano Sundang Pranata; Jufriadif Na’am; Sumijan
Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Vol 3 No 3 (2019): Desember 2019
Publisher : Ikatan Ahli Informatika Indonesia (IAII)

Fungal skin disease is a type of disease that is often suffered people in the tropics. Phenomena in the community often assume that this disease will heal by itself. However, if left the effects of fungal skin disease can worsen the sufferer condition. The importance of early detection and treatment is very necessary, but this requires patients go to hospital or doctor so that patients spend a lot of time and money. For this reason, was build an android expert system with speech to early diagnose fungal skin diseases. From this initial diagnosis will save time and money and provide alternative prevention for sufferers. The method used in this study is the Certainty Factor of 20 patients. The accuracy of the test results to the system compared to the results of the doctor's diagnosis is 95%. So that, this expert system can be an early alternative in diagnose fungal skin diseases in humans.

Comparison of Segmentation Analysis in Nucleus Detection with GLCM Features using Otsu and Polynomial Methods Dwiza Riana; Jufriadif Na'am; Saputri, Daniati Uki Eka Saputri; Sri Hadianti; Faruq Aziz; Suryadi Putra Liawatimena; Alya Shafra Hewiz; Dika Putri Metalica; Teguh Herwanto
Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Vol 7 No 6 (2023): December 2023
Publisher : Ikatan Ahli Informatika Indonesia (IAII)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29207/resti.v7i6.5420

Pap smear is a digital image generated from the recording of cervical cancer cell preparation. Images generated are susceptible to errors due to the relatively small cell sizes and overlapping cell nuclei. Therefore, accurate Pap smear image analysis is essential to obtain the right information. This research compares nucleus segmentation and detection using Grey Level Co-occurrence Matrix (GLCM) features in two methods: Otsu and Polynomial. The tested data consisted of 400 images sourced from RepoMedUNM, a publicly accessible repository containing 2,346 images. Both methods were compared and evaluated to obtain the most accurate features. The research results showed that the average distance of the Otsu method was 6.6457, which was superior to the Polynomial method with a value of 6.6215. Distance refers to the distance between the nucleus detected by the Otsu and the Polynomial method. Distance is an important measure to assess how closely the detection results align with the actual nucleus positions. It indicates that the Polynomial method produces nucleus detections that are on average closer to the actual nucleus positions compared to the Otsu method. Consequently, this research can serve as a reference for further studies in developing new methods to enhance the accuracy of identification.

Co-Authors Adiddo Restiady ADIF, RIANDY MARDHIKA Agung Ramadhanu Agus Perdana Windarto AHMADI Ainul Mardiah Alya Shafra Hewiz Apriade Voutama Asep Kurniawan Bob Subhan Riza Bob Subhan Riza Catur Suharinto Catur Suharinto Dika Putri Metalica Dodi Andre Putra Dolly Indra Dwiza Riana Elfina Novalia Elvin Syahrin Eri Prasetyo Wibowo, Eri Prasetyo Faruq Aziz Feriantano Sundang Pranata Feriantano Sundang Pranata Gunadi Bin Senitio Gunadi Nurcahyo Gunadi Widi Nurcahyo Iman Priyadi Irawadi Putra Johan Harlan Johan Harlan Johan Harlan Julius Santony Julius Santony Julius Santony Julius Santony Kurnia, Hezy Larissa Navia Rani Mardison Mardison Maulia Rahman Mesran, Mesran Montesna Muhammad Abrar Masril Mutiana Pratiwi Nasir Hamzah Novizar Nazir Nur, Rofil M Puspitaningtyas, Mery Oktaviyanti Raju Wandira Rakhmad Kuswandhie Riandy Mardhika Adif Romi Hardianto Rosda Syelly Sahari Sahari Saputri, Daniati Uki Eka Saputri Sarifuddin Madenda Sarjon Defit Saut Parulian, Onesinus Sri Hadianti Sugiarti, Sugiarti Sumidjan Sumidjan Sumijan Sumijan Sumijan Sumijan Sumijan Sumijan Sumijan Sumijan Sumijan Sumijan Suryadi Putra Liawatimena Syafri Arlis Teguh Herwanto Waeisul Bismi Wanto, Anjar Yanto Saputra Yuhandri Yuhandri Yuhandri Yuhandri Yuhandri, Yuhandri Yundari, Yundari

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