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All Journal IAES International Journal of Artificial Intelligence (IJ-AI) Journal Information System Development METHOMIKA: Jurnal Manajemen Informatika & Komputerisasi Akuntansi METHODIKA: Jurnal Teknik Informatika dan Sistem Informasi JOISIE (Journal Of Information Systems And Informatics Engineering) Jurnal Informatika Kaputama (JIK) Jurnal Sistem Informasi Kaputama (JSIK) Majalah Ilmiah Kaputama JTIK (Jurnal Teknik Informatika Kaputama) KAKIFIKOM : Kumpulan Artikel Karya Ilmiah Fakultas Ilmu Komputer Journal of Intelligent Decision Support System (IDSS) JUKI : Jurnal Komputer dan Informatika MEANS (Media Informasi Analisa dan Sistem) El-Mujtama: Jurnal Pengabdian Masyarakat Journal of Vision and Ideas (VISA) Bulletin of Multi-Disciplinary Science and Applied Technology TECHSI - Jurnal Teknik Informatika Journal of Artificial Intelligence and Engineering Applications (JAIEA) International Journal of Informatics, Economics, Management and Science Journal of Engineering, Technology and Computing (JETCom) Journal of Mathematics and Technology (MATECH) International Review of Practical Innovation, Technology and Green Energy (IRPITAGE) International Journal of Health, Engineering and Technology Jurnal Kajian dan Penelitian Umum Indonesian Journal of Education And Computer Science Indonesian Journal of Science, Technology, and Humanities Jurnal Penelitian Teknologi Informasi dan Sains Journal of Data Analytics, Information, and Computer Science (JDAICS) Router : Jurnal Teknik Informatika dan Terapan Bridge: Jurnal Publikasi Sistem Informasi dan Telekomunikasi Modem : Jurnal Informatika dan Sains Teknologi Repeater: Publikasi Teknik Informatika dan Jaringan Switch: Jurnal Sains dan Teknologi Informasi Saturnus: Jurnal Teknologi dan Sistem Informasi Router : Jurnal Teknik Informatika dan Terapan
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Image Processing Detecting Chili Fruit Based on Maturity Level Using Backpropagation Method Agung Prayogi; Akim M.H Pardede; Katen Lumbanbatu
International Journal of Health Engineering and Technology Vol. 1 No. 3 (2022): IJHET-SEPTEMBER 2022
Publisher : CV. AFDIFAL MAJU BERKAH

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1389.149 KB) | DOI: 10.55227/ijhet.v1i3.63

Abstract

Red chili is one type of vegetable that has a high economic value. Chili is usually used in the form of fresh or dried or cooked, for ingredients for kitchen spices, medicinal ingredients, the needs of the food industry, and home industries. . However, it is common for farmers to harvest red chilies that are not yet ripe or even ripe, such as reddish-brown, red-black (rotten). This can lead to a lack of maturity level of red chili and the quality of the red chili. From the input pattern/image of chili as training data and training targets, it is possible to identify the ripeness of chilies using the backpropagation method. Based on the image data of chilies, it can recognize the pattern of chilies that have a maturity level that is in accordance with the digital image by using the backpropagation method and using the MATLAB application, with an accuracy level of training and testing data that is 97,78%.
Optimization Of Learning Scheduling Using Linear Regression Naufal Falaah Nduru; Akim M.H Pardede; Anton Sihombing
International Journal of Health Engineering and Technology Vol. 1 No. 3 (2022): IJHET-SEPTEMBER 2022
Publisher : CV. AFDIFAL MAJU BERKAH

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (627.354 KB) | DOI: 10.55227/ijhet.v1i3.66

Abstract

Scheduling is a process, method, manufacture, or schedule to be included in the schedule (KBBI). Scheduling that is needed in general and that occurs at one point of education in making study schedules requires various supporting factors from the division of teacher tasks. Based on this, efforts to facilitate learning schedules are made to optimize an activity so as to increase productivity and effectiveness.To carry out learning activities that are carried out conventionally and for a long time, teachers who have teaching schedules in two or more different classrooms at the same time must be revised by changing their respective schedules or reducing the hours that occur as guided by the teacher. At SD S Muhammadiyah Sambirejo, which is a school located in Sambirejo Village, Binjai District, Langkat Regency, and has several educators and educational staff at this school, I focus on the case study of learning scheduling, so that teaching and learning activities in a school must pay attention to the learning schedule and avoid clashes. This makes it easier to prepare a study schedule. The method used is linear regression as an optimization of learning scheduling. The results of testing the linear regression method in optimizing learning scheduling using linear regression with a total of 10 forecasting data as analysis and determining the forecasting result value of 2.0063334474495 obtained data results with the number of conflicting hours.
MSB Steganography Text Message Insertion Technique On Imagery With Otp And RSA Algorithms Resti Afrelia Sibuea; Akim M.H. Pardede; Katen Lumbanbatu
International Journal of Health Engineering and Technology Vol. 1 No. 3 (2022): IJHET-SEPTEMBER 2022
Publisher : CV. AFDIFAL MAJU BERKAH

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (969.439 KB) | DOI: 10.55227/ijhet.v1i3.70

Abstract

The use of image media information has several weaknesses, one of which is that it is easy to be manipulated by certain parties with the help of currently developing technology. Efforts that can be made in increasing the security of sending image information are cryptography, which is the science and art of maintaining message security. In this study, the OTP, RSA and MSB (Most Significant Bit) steganography methods were applied which aim to obtain a stronger cipher by inserting a message into the image so that it is difficult to tap. OTP and RSA algorithms for encrypting and decrypting, MSB (Most Significant Bit) Steganography which is used for encoding and decoding images. The results of this study indicate that by applying the OTP, RSA and MSB (Most Significant Bit) Steganography algorithms can secure messages that are inserted into the image and secure the key for data needs. The encoding and decoding process time is affected by the number of messages to be kept secret.
Diagnosis of Kidney Disease Using Fuzzy Logic Method Andini, Anggun; Hara Pardede, Akim Manaor; Sihombing, Marto
International Journal of Informatics, Economics, Management and Science Vol 3 No 1 (2024): IJIEMS (January 2024)
Publisher : Sekolah Tinggi Manajemen Informatika dan Komputer Jayakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52362/ijiems.v3i1.1234

Abstract

Kidney disease is a condition in which the kidneys cannot function properly. Kidney disease is one of the diseases that can cause death and disability. Ignorance and lack of information about kidney disease causes the death rate of people with kidney disease to increase every year. Limited special kidney facilities in Indonesia are one of the factors slowing treatment. To distinguish what type of kidney disease sufferers of symptoms need to bring in an expert or specialist in internal medicine for a consultation. However, there are some problems with an expert such as an expert who is not always in place, the cost of consulting an expert is quite expensive, and still limited. Unhealthy lifestyle is also a factor in the increase in kidney disease sufferers. With these problems it can be concluded that it is necessary to create a system that can diagnose diseases without having to consult an expert with an expert system. An expert system is a system that can store expert information in a computer. In the Fuzzy Logic method, the existing data will be inferred by creating a rule in the form of IF_THEN and using the AND operation, then the minimum value (MIN) of several existing variables will be selected. From the results of trials conducted in this study it was found that based on the symptoms that occur the patient suffers from Acute Renal Failure.
Security of Employee Salary Data Using the ElGamal Algorithm By Utilizing the Diffie-Hellman Algorithm Key Generator Indakholasy, Barru; Hara Pardede, Akim Manaor; Khair, Husnul
International Journal of Informatics, Economics, Management and Science Vol 3 No 1 (2024): IJIEMS (January 2024)
Publisher : Sekolah Tinggi Manajemen Informatika dan Komputer Jayakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52362/ijiems.v3i1.1221

Abstract

Data security is something that is very important for companies or organizations, one of which is the South Binjai District Office. Almost all work in the South Binjai sub-district office uses a computer, especially in processing data stored in the form of data files on storage media without encoding. In today's digital era, many irresponsible parties find it easy to tap company data so that it can be easily accessed and there is also some software that can be easily used to crack passwords. One of the data that needs to be kept confidential is employee salary data. To overcome these problems, a security system is needed to secure text data. The cryptographic method is regarding encryption techniques in which plaintext is scrambled using an encryption key to become ciphertext which is applied in data security systems. The Diffie-Hellman algorithm is a key exchange algorithm, this algorithm is limited to the key exchange process, so it must require another algorithm for the encryption and decryption process such as the ElGamal algorithm. The use of these two algorithms can strengthen the level of data security. From the results of trials conducted, the sample data used containing the word "KARYAWAN" was successfully secured with both diffie-helman and ElGamal algorithms.
Penerapan Metode Fuzzy untuk Mengetahui Penyakit Radang Kelopak Mata (Blepharitis) Bayu Juliansyah; Akim Manaor Hara Pardede; Husnul Khair
Router : Jurnal Teknik Informatika dan Terapan Vol. 3 No. 2 (2025): Juni: Router : Jurnal Teknik Informatika dan Terapan 
Publisher : Asosiasi Riset Teknik Elektro dan Informatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62951/router.v3i2.614

Abstract

Blepharitis or inflammation of the eyelids is one of the common eye diseases, characterized by inflammation of the edges of the eyelids that can cause discomfort, irritation, and even visual disturbances. This disease can be chronic with recurrent symptoms such as red eyes, itching, watering, and the appearance of crust on the eyelashes. Proper and prompt diagnosis is necessary so that medical treatment can be carried out effectively and further complications can be prevented. This study aims to design and build an expert system based on the Fuzzy Logic method in helping diagnose blepharitis. The fuzzy method was chosen because it is able to handle the uncertainty of symptom data that often arises in the medical diagnosis process. This system is developed through the identification of the common symptoms of blepharitis, then processed using the fuzzy membership function to determine the type of disease based on the degree of symptom onset. The output of the system is in the form of the results of the diagnosis of blepharitis along with initial treatment recommendations that can be used as a reference for users. The results of the system test show that the application of fuzzy logic is able to provide diagnosis results that are quite accurate, fast, and easy to understand both medical personnel and the general public. This system is expected to help increase public awareness about the importance of early detection of blepharitis, as well as being a tool in the initial medical decision-making process. However, the limitations of this study lie in the limited amount of data and coverage of the type of blepharitis, so further development is needed, both in expanding the knowledge base, increasing the variety of symptoms, and improving system interaction with users.
Optimizing brain tumor MRI classification using advanced preprocessing techniques and ensemble learning methods Pardede, Akim Manaor Hara; Zamsuri, Ahmad; Nuroini, Indi; Alkhairi, Putrama
IAES International Journal of Artificial Intelligence (IJ-AI) Vol 14, No 6: December 2025
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijai.v14.i6.pp5106-5119

Abstract

Brain tumor classification is a critical task in medical imaging that directly impacts the accuracy of diagnosis and treatment planning. However, the complexity and variability of magnetic resonance imaging (MRI) images pose significant challenges, often resulting in reduced model reliability and generalization. This study addresses these limitations by proposing a novel ResNet+Bagging model, leveraging the strengths of residual networks and ensemble learning to enhance classification performance. Using publicly available brain tumor MRI datasets, including images labeled as benign, malignant, and normal, the study employs advanced preprocessing techniques such as normalization, data augmentation, and noise reduction to ensure high-quality inputs. The proposed model demonstrated significant improvements, achieving the highest testing accuracy of 72%, outperforming other tested models such as LeNet, standard ResNet, GoogleNet, and VGGNet. Precision (0.6010), recall (0.6000), and F1-score (0.5990) metrics further highlight its superior balance in detecting positive and negative classes. The novelty of this research lies in the application of Bagging to ResNet, which effectively mitigates overfitting and enhances predictive stability in complex medical datasets. These findings underscore the proposed model's potential as a robust solution for brain tumor classification, contributing to more accurate and reliable diagnostics.
RANCANGAN SISTEM NOTIFIKASI KEDATANGAN PEMBELI DENGAN SUARA MENGGUNAKAN ARDUINO Subakti, Al Haby Pratama; Pardede, Akim Manaor Hara; Syari, Mili Alfhi Syari
JTIK (Jurnal Teknik Informatika Kaputama) Vol. 7 No. 1 (2023): Volume 7, Nomor 1, Januari 2023
Publisher : STMIK KAPUTAMA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59697/jtik.v7i1.24

Abstract

Toko kelontong merupakan tempat untuk menjual berbagai kebutuhan rumah tangga. Yang mana menyediakan kebutuhan seperti kebutuhan dapur, kebutuhan mandi, peralatan sekolah, makanan ringan, dan yang lainnya. Tempat yang menyediakan segitu banyak barang tentu tidak luput dari tindak pencurian yang dilakukan oleh beberapa oknum masyarakat. Pada penelitian sebelumnya, adalah sistem untuk keamanan rumah. Pada penelitian tersebut berfokus pada pemasangan multisensor pada setiap jalan masuk yang ada pada rumah, yang menggunakans sensor buzzer dan SMS sebagai output. Oleh karena itu, untuk menyesuaikan kondisi pada toko kelontong. Komponen yang terdiri dari Arduino uno R3, sensor ultrasonik, DF Player, LCD, I2C, Speaker, dan ESP32-CAM. Sistem ini dilengkapi dengan fitur mengambil foto yang dikirimkan ke telegram dengan menggunakan ESP32-CAM. Hasil dari penelitian ini adalah jarak yang bisa dideteksi sensor cukup jauh, namun sebagai bentuk percobaan penulis membatasi jarak 12cm dan akan mendeteksi objek ketika berada di jarak 5cm. Ujicoba membuktikan ketika sensor mendeteksi objek dengan status objek datang, maka speaker berbunyi yang terhubung pada DF Player dengan memutar audio yang tersimpan di sdcard. LCD akan menampilkan status “ada” ketika terdapat objek yang berada didalam toko. Disaat itu juga ESP32-CAM akan mengambil gambar dan mengirimnya ke telegram. Ketika objek keluar melewati objek maka tidak ada respon dari komponen lain selain LCD, yang menampilkan status “tidak ada” yang berarti tidak ada objek yang berada didalam toko.
Co-Authors ., Novriyenni ., Novriyenni Abdillah, Afif Abdullah Rayni Achmad Fauzi Agung Prayogi Agus Muji Santoso Agus Syahrani Agus Syahrani Ahmad Zamsuri, Ahmad Al Haby Pratama Subakti al Haby Pratama Subakti Alia Bihrajihant Raya Alia Bihrajihant Raya Alkhairi, Putrama Alya Fadillah Amanda Putri Ardana Ambarita, Indah Amin Hou Anang Wahid M.Diah ANDIKA Andika Andika Andini, Anggun Anggi Pratiwi, Anggi Anggraeni Dyah S Anggraeni Dyah Sulistiowati Anggun Anggraini Anggun Angraini Anita Shintya Devi Apriandi Alfa Reza Saragih Arifin Dwi Saputro Aris Wahyono, Aris Wahyono Artika Dini Anggriani Asrofi Liza Nasution Astrika, Rahayu Aula, Nurhasanah Azmy, Maulida Bachtiar, Willy Bagus Aziz Bagus Azizi Bayu Juliansyah Boyke Gunawan Manurung Br Bangun, Cindy Arsita Buaton, Relita Budi Purnomo Siahaan Budi Saragi Ginting budi saragih budi saragih Budi Serasi Ginting Budi Serasi Ginting Christian Adi Pratama Saragih Debby Ade prastiwi Deby Siska Oktavia Pasaribu Destiara, Destiara Desty Dwi Putri Diana Lestari Simamora Diaz Kuncoro Dina Filina Eddu Dwi Rizki Eddu Dwi Rizki Efendi, Sutris Eka Rahamadi Susilo Elni Arbaeti, Endang Evi Rinata Fahri Husaini Farid Reza Malau Fatmaira, Zira Fauzi, Achmad Fazar Syahfitra Ferry Rahmadani fika lestika Fika Lestika Br. Tarigan Filina, Dina Finda Meyditia Finda Meyditia Fuzy Yustika Manik Fuzy Yustika Manik, Fuzy Yustika Ginting, Budi Saragi Gultom, Imeldawaty H Khair Hamdani, Diky Hamdani, Diky Harahap, Khairunnisa Hari sabana Hasanul Khair Hasdari Helmi Hasdari Helmi Hendy Setiawan Hendy Setiawan Herdianta Herdianta Herlina, Lien Hermansyah Sembiring Hotler Manurung Husnul Kahir I G Prahmana I Gusti Prahmana I Gusti Prahmana igusti prahmana Iis Joice Susanti Marpaung Ilham Ilham Indah Haziziyah Indakholasy, Barru Indriana, Nurita Jen Peng Huang John Darwis Martuadi Saragih John Darwis Martuadi Saragih Jonathan Setiadi Pasaribu Kadim, Lina Arliana Nur Katen Lumbanbatu Katen Lumbanbatu Katen Lumbanbatu Khadafi, Muhamad Khair , Husnul Khair, Husnul Khairunnisa Harahap Lestari Riawan, Putri Lita, Catlya Novera Lumbanbatu, Katen M Fakhrul Hirzi M Ilham Nst M. Rizki Auliansyah Ginting M. Taufik Magdalena Simanjuntak Magdalena Simanjuntak Maida Andriani MANURUNG, HOTLER Marto Sihombing Marto Sihombing Marto Sihombing Marto Sihombing Marto Sihombing Maulida Azmy maulida azmy Melda Pita Uli Sitompul MHD Micho Januar Prananta Mili Alfhi Syari Mili Alfhi Syari Syari Muhammad Arie Afryanda Muhammad Arie Afryanda Muhammad Taufik Nanang Wahyudin Nanang Wahyudin Nanda, Wahyu Surya Naufal Falaah Nduru Nidya Banuari Nila Damayanti Ningsih, Nur Ema Tiana Nisa R, Ajeng Arina Novriyenni Novriyenni - Novriyenni Novriyenni Novriyenni Novriyenni Novriyenni Novriyenni Novriyenni Novriyenni, Novriyenni Nur Ema Tiana Ningsih nurema tiana ningsih Nurhayati Nurhayati Nurhayati Nuroini, Indi PASARIBU, TIO RIA Pasaribu, Tioria Paul Saut Marganda L Tobing Permana Putra Permana Putra Pitaloka, Nadila Prahmana, I Gusti Prastya, Reno Preddy Marpaung Rafael R.F. Sijabat Rahmad Syahputra Rahmadani Rahmadani, Feri Ramadhani Rangkuti, Nazwa Nurul Hafizah Refirda Agtalia Rendi Eka Pratama Rendi Eka Pratama Resti Afrelia Sibuea Richa Orellia Rika Hedy Anggraini Prastio rima siburian Riski Ramadhansyah Ronny Lesmana Rusmin Saragih, Rusmin Saragih, Christian Adi Pratama Saragih, John Darwis Martuadi Sari, Indah Kelana Sawitri Sawitri Selfira Selfira Sembiring, Hermansyah Sihombing, Anton Sihombing, Marto Sijabat, Maruba Simanjorang, Armadani Simanjuntak, Magdalena Simanjuntak, Ruth Rani Sirait, Fahmi Aulia Siswan Syahputra Sitepu, Cindy Yohana Siti Alyunita Mega Lestari Siti Mutoharoh Permata Ayunda Subakti, Al Haby Pratama suci ramadani Suhada Suhada Suhada Suhada Suhada Suhada Suhada Suhada, Suhada Surja Arafat Surtan Hasibuan Surya Siswoyo Surya Siswoyo Sutris Efendi Syahputra , Siswan Syahputra, Siswan Syari, Mili Alfhi Syari Syari, Milli Alfhi Tanjung, Anggi Muhammad Tarigan, Fika Lestika Br. Tengku Syahdina Riyan Thalia, Novi Tio Ria Pasaribu Tria Pusvita Dewi Triana Dewi lestari Wardani, Sisca Willy Bachtiar Wisnu Satriyo Jati Wisnu Satriyo Jati Yani Maulita Yanuar Dwi Prastyo Yehezkiel Wibisono Sagala Yourman Doni Siddik Yuda Washita