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All Journal IAES International Journal of Artificial Intelligence (IJ-AI) JITK (Jurnal Ilmu Pengetahuan dan Komputer) 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 Jurnal Inovasi Informatika dan Bisnis Digital (JIIBD)
Pardede, Akim Manaor Hara
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SISTEM PENDUKUNG KEPUTUSAN PEMBERIAN BANTUAN PROGRAM KELUARGA HARAPAN (PKH) DENGAN METODE ELECTRE (ELIMINATION ET CHOIX TRADUISTANT LA REALITE) STUDI KASUS: KECAMATAN SELESAI Harahap, Khairunnisa; Pardede, Akim M. H; Pasaribu, Tio Ria
Jurnal Sistem Informasi Kaputama (JSIK) Vol. 5 No. 1 (2021): Volume 5, Nomor 1, Januari 2021
Publisher : STMIK KAPUTAMA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59697/jsik.v5i1.714

Abstract

Program Keluarga Harapan (PKH) is an intense social protection program on providing cash assistance to households that meet the criteria of the Program Keluarga Harapan (PKH). The goal of Program Keluarga Harapan (PKH) in the short term is to reduce the burden of KSM (Very Poor Families) while in the long term it is expected to break the poverty chain between generations, so that the next generation can get out of poverty and be more prosperous. Based on the results of this study proposed a decision support system with the METHOD ELECTRE (Elimination Et Choix Traduisant La Realite) which is one of the multi-criterion decision making methods based on the concept of outranking by using a paired comparison of alternatives based on each appropriate criteria. From the ELECTRE method, there is an alternative result that is less favourable, namely A1 with the result of 0, A2 with the result of 0, A3 with the result of 2, A2 with the result of 1 and A5 with the result of 4. Thus the A5 becomes the alternative with the highest value.
SIMULASI ANTRIAN PELAYANAN BANK MENGGUNAKAN METODE EKSPONENSIAL Andika; Pardede, A M H; Novriyenni
Jurnal Sistem Informasi Kaputama (JSIK) Vol. 2 No. 1 (2018): Volume 2, Nomor 1, Januari 2018
Publisher : STMIK KAPUTAMA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59697/jsik.v2i1.760

Abstract

Zaman modern saat ini menuntut semuanya harus cepat dan tepat. Ini karena semakin bertambahnya populasi di dunia saat ini yang terus bertambah. Antrian adalah suatu aktifitas di mana pelanggan menunggu untuk mendapatkan layanan. Dalam sistem antrian terkadang mengalami masalah, masalah muncul karena banyaknya antrean di layani. Antrean panjang terjadi karena banyaknya transaksi di kasir baik transfer, tarik tunai, pembayaran hipotek, dana pensiun mengambil dan menerima retensi kas. Model antrian yang dibahas dalam penelitian ini adalah antrian dimana pelanggan datang berkelompok. Jumlah pelanggan dalam setiap kelompok adalah variabel acak, dan waktu antara kedatangan distribusi eksponensial. Pada penelitian metode Exponential digunakan untuk menghitung waktu layanan dengan saluran tunggal untuk dapat mengamati bagaimana kinerja sistem. Berdasarkan hasil penelitian, diperoleh server yang cukup untuk melayani adalah sebanyak 3 server, jika hanya 1 server akan menghasilkan waktu tunggu rata-rata yang terlalu lama sehingga pelanggan akan bosan menunggu beberapa saat jika Anda menggunakan 4 server akan menghasilkan waktu menunggu rata-rata sangat sedikit sampai server kosong
PENGKLASTERAN DOKUMEN DENGAN MENGGUNAKAN ALGORITMA SUPPORT VECTOR CLUSTERING Suhada, Suhada; Pardede, Akim Manaor Hara
Jurnal Sistem Informasi Kaputama (JSIK) Vol. 3 No. 2 (2019): Volume 3, Nomor 2, Juli 2019
Publisher : STMIK KAPUTAMA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59697/jsik.v3i2.768

Abstract

Data processing documents also become an important issue at this time. Along with the increasing amount of data collected and stored in a database increases drastically. This data can come from a variety of sources such as financial applications, Enterprise Resource Management (ERM), Customer Relationship Management (CRM), and others. These data if can be used to support the decision-making process. This paper shows the result of clustering data derived from students' final assignment AMIK Tunas Bangsa Pematangsiantar using Support Vector Clustering method but it also displayed the data using the software RapidMiner clustering results with pengklasteringan time for 11:21 minutes with a gain that took the title in 1708 and classified database 311 who took the title of the classified web programming.
Penerapan Algoritma Apriori untuk Rekomendasi Asuransi pada Nasabah: (Studi Kasus: Asuransi Jasindo Kota Medan) Amanda Putri Ardana; Akim M.H. Pardede; Selfira Selfira
Jurnal Penelitian Teknologi Informasi dan Sains Vol. 2 No. 3 (2024): SEPTEMBER : JURNAL PENELITIAN TEKNOLOGI INFORMASI DAN SAINS
Publisher : Institut Teknologi dan Bisnis (ITB) Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54066/jptis.v2i3.2379

Abstract

Jasindo Insurance Company is one of the insurance companies that receives insurance coverage both directly and indirectly, with ownership of 1 share of dwiwarna series A owned by the Republic of Indonesia and 424,999 shares of Series B owned by PT Bahana Pembinaan Usaha Indonesia (Persero). PT Asuransi Jasa Indonesia has several products and choices in choosing which insurance is needed by customers in agriculture, health, education and many more. Due to the large amount of competition in the business world, it requires management to find the right strategy in increasing the use of Jasindo insurance by knowing the relationship between age, gender, marital status, occupation and the type of Jasindo insurance that is widely chosen by customers. In order to find out the use of insurance that is widely used by the community, it is necessary to analyze the data on the use of insurance using the apriori algorithm method to determine the combination between item-sets of transaction data on Jasindo insurance data. Based on the research conducted after experimenting with the above case with a minimum support = 25%, confidence = 100% so that the results of the rule that meets the support and confidence values are obtained, namely if the gender is male, the marital status is Unmarried, then the type of insurance is jasimdo health and jasindo rainbow then giving value is successful with 25% support, 100% confidence.
Diagnosa Penyakit Obsessive-Compulsive Disorder Menggunakan Metode Certainty Factor Artika Dini Anggriani; Akim M.H. Pardede; I Gusti Prahmana
Modem : Jurnal Informatika dan Sains Teknologi. Vol. 2 No. 4 (2024): Oktober : Modem : Jurnal Informatika dan Sains Teknologi
Publisher : Asosiasi Profesi Telekomunikasi Dan Informatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62951/modem.v2i4.227

Abstract

Obsessive-Compulsive Disorder (OCD) is a psychiatric disorder characterized by uncontrollable obsessive thoughts and compulsive behaviors. The disorder triggers anxiety in sufferers that often drives them to avoid situations or places that can trigger obsessions, such as shaking hands or using public restrooms. Proper treatment is necessary to prevent further impact on the quality of life of OCD sufferers. However, early diagnosis is often constrained by limited time and access to medical experts. To overcome this, an expert system based on the Certainty Factor method was developed. This system mimics the thought process of a medical expert in diagnosing OCD using symptoms selected by the user. Certainty Factor is used to calculate the certainty level of each diagnosis based on the inputted symptoms. From the analysis, the system is able to provide diagnoses with high accuracy, even reaching 100% for some OCD cases. These results show that expert systems can be an effective tool in detecting OCD early, thus accelerating the process of proper handling and treatment
Rancang Bangun Identifikasi Kehadiran Mahasiswa Otomatis Menggunakan Face Recognition dan Kartu Tanda Mahasiswa ( KTM ) Menggunakan Internet of Things (IOT) Fazar Syahfitra; Akim Manaor Hara Pardede; Magdalena Simanjuntak
Repeater : Publikasi Teknik Informatika dan Jaringan Vol. 4 No. 2 (2026): April : Repeater : Publikasi Teknik Informatika dan Jaringan
Publisher : Asosiasi Riset Teknik Elektro dan Informatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62951/repeater.v2i4.254

Abstract

This study aims to design and develop an automatic attendance system using Radio Frequency Identification (RFID) technology and an ESP32 CAM. The system is designed to improve efficiency and accuracy in recording student attendance in academic environments. When a student's RFID card is scanned, the system automatically identifies the student and captures an image through the ESP32 CAM as additional proof of attendance. Attendance data and captured images are stored in a database that is connected in real-time via the Internet of Things (IoT). The results of the testing show that this system is able to perform the attendance process quickly and accurately, providing convenience for administrators in managing and monitoring attendance data digitally.
Rancang Bangun Alat Deteksi Kebisingan Perpustakaan dengan Indikator Peringatan Berbasis Internet Of Things (IOT) Yourman Doni Siddik; Akim Manaor Hara Pardede; Husnul Kahir
Repeater : Publikasi Teknik Informatika dan Jaringan Vol. 4 No. 2 (2026): April : Repeater : Publikasi Teknik Informatika dan Jaringan
Publisher : Asosiasi Riset Teknik Elektro dan Informatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62951/repeater.v2i4.255

Abstract

Noise in libraries can disrupt the concentration and comfort of visitors who are reading or studying. Therefore, a tool is needed to detect noise and automatically issue warnings to maintain silence in the library environment. This research aims to design and develop a noise detection tool in libraries using Internet of Things (IoT) technology. The device consists of a sound sensor that detects noise levels and sends data to a cloud-based server for analysis. When the noise level exceeds a specified threshold, the tool provides warnings through visual indicators and notifications to the library staff. The prototype was tested in a library environment and was able to detect noise accurately and issue real-time alerts. The results showed that the device effectively reduced noise levels and improved the comfort of library visitors. With the implementation of IoT technology, this system can be accessed and monitored remotely, facilitating library management in maintaining a conducive environment.
Penerapan Algoritma Linier Congruent Method Pada Pengacakan Soal Ujian Berbasis Online di SD Muhammadiyah Sei Cabang Debby Ade Prastiwi; Akim M.H. Pardede; Zira Fatmaira
Switch : Jurnal Sains dan Teknologi Informasi Vol. 2 No. 3 (2024): Mei : Switch : Jurnal Sains dan Teknologi Informasi
Publisher : Asosiasi Profesi Telekomunikasi Dan Informatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62951/switch.v2i5.192

Abstract

This study was conducted at SD Muhammadiyah Sei Cabang, a private school in Langkat Regency, which still uses manual examination methods with identical questions for all students. This method is considered ineffective because it allows students to cheat, leading to exam results that do not accurately reflect their abilities. To address this issue, the study developed a web-based examination system using the Linear Congruent Method (LCM) to generate randomized question numbers. With LCM, each student receives a different set of question numbers, making the exam process more effective and fair. The system was built using PHP programming language and MySQL database, enabling efficient data storage and processing. The implementation of this system resulted in improved accuracy in assessment and reduced cheating potential during exams at the school.
Optimizing the Preparation of Work Plans Using Linear Regression Astrika, Rahayu; Pardede, Akim Manaor Hara; Sihombing, Anton
Journal of Artificial Intelligence and Engineering Applications (JAIEA) Vol. 4 No. 1 (2024): October 2024
Publisher : Yayasan Kita Menulis

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59934/jaiea.v4i1.555

Abstract

Preparing effective and efficient work plans to achieve regional government strategic goals is often faced with budget management challenges, especially in the face of increasing indicative ceilings. This research optimizes this process at the Langkat Regency Regional Secretariat using the linear regression method. This method evaluates previous work plans and adapts them to regional financial capabilities for more efficient budget use. The research results show that linear regression provides accurate predictions of budget needs, with an error rate (MAPE) of 0.08% and an accuracy rate of 99.92%. It is hoped that this optimization can support regional development goals in a structured and measurable manner.
Design of a Guest Face Detection Tool Using ESP32-CAM Based on Internet of Things (IoT) Khadafi, Muhamad; Pardede, A M H; Sembiring, Hermansyah
Journal of Artificial Intelligence and Engineering Applications (JAIEA) Vol. 4 No. 1 (2024): October 2024
Publisher : Yayasan Kita Menulis

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59934/jaiea.v4i1.578

Abstract

This research develops an Internet of Things (IoT)-based guest face detection tool using ESP32-CAM to create a digital guestbook archive. The device distinguishes between guests and employees, with employee face data stored in a GitHub repository. When the device detects an unfamiliar guest face, a notification and photo are sent to a Telegram bot. If an employee's face is detected, a notification of the employee's name is sent to the Telegram bot. The method used is prototyping and the test results show that this tool is effective in detecting and digitally archiving guest visits.
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