Article Per Year (5 Year)
p-Index From 2020 - 2025
0.947
P-Index
This Author published in this journals
All Journal Transmisi: Jurnal Ilmiah Teknik Elektro JURNAL SISTEM INFORMASI BISNIS Marwah: Jurnal Perempuan, Agama dan Jender SITEKIN: Jurnal Sains, Teknologi dan Industri PROtek : Jurnal Ilmiah Teknik Elektro JURNAL MEDIA INFORMATIKA BUDIDARMA Seminar Nasional Teknologi Informasi Komunikasi dan Industri JOURNAL OF INFORMATION SYSTEM RESEARCH (JOSH)
Simaremare, Harris Simaremare
Universitas Islam Negeri Sultan Syarif Kasim Riau
Religion Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Industrial & Manufacturing Engineering Mathematics Social Sciences Other

Published : 8 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 8 Documents
Search

 1 
Result Based Manajemen Sistem untuk Monitoring dan Evaluasi Kegiatan Bimbingan Dasar Keislaman Okfalisa, Okfalisa; Simaremare, Harris; Abdillah, Rahmad; Najwa, Nina Fadilah
JSINBIS (Jurnal Sistem Informasi Bisnis) Vol 9, No 1 (2019): Volume 9 Nomor 1 Tahun 2019
Publisher : Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (397.452 KB) | DOI: 10.21456/vol9iss1pp77-85

Abstract

The Islamic values in the integrated curriculum should be reflected in governance, teaching lifestyle, and society dedication. The Islamic basic mentoring activity was the routine activity in UIN SUSKA Riau. That activity had been going on since 2010 and had unoptimization through stakeholder dissatisfaction with performance output. This research has developed a model by Result based for monitoring and evaluating the activity implementation. The results of the modeling mechanism were implemented in the construction of a Result Based Management Information System prototype. This research conducted by 7 constructs with 32 indicators that had been statistically tested by Confirmatory Factor Analysis to know the significance and the relation between indicators and constructs. This model was tested descriptive statistic to measure the activity implementation performance in accordance with the expected output. The results of performance activity at the Faculty of Science Technology were at the middle level. The construction of a prototype using Object Oriented Analysis had been successfully carried out with very good results in testing the UAT and Black Box. The system had 6 actors based on the stakeholder requirements and the system was successfully monitoring and evaluating problem and activity as long as the implementation. Performance information in graphically was to help the leader and top management for making decision and policy fixing. The discussion forum was developed as sharing information platform between the leader, the manager and the lecturer, the fellow lecturer, the lecturer and the participants. Thus, the transformation and transparency in implementation activity were formed.
GAMBARAN KEWARGAAN DIGITAL PADA SISWA MADRASAH ALIYAH NEGERI BERDASARKAN PERSPEKTIF GENDER Ricca Angreini Munthe; Raihani Raihani; Harris Simaremare
Marwah: Jurnal Perempuan, Agama dan Jender Vol 20, No 2 (2021): Marwah
Publisher : Universitas Islam Negeri Sultan Syarif Kasim Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24014/marwah.v20i2.11308

Abstract

ABSTRACTThe rapidly developing digital media has currently been forcing every individual to become a digital citizen. Not exceptionally, students who are at the stage of adolescent development are considered active digital citizens. Research has shown that male students access social media more often than female students. However, it remained unknown how both male and female students in Indonesia develop digital citizenship. This study aims to explore differences in the ability of digital citizenship in two State Islamic High School’s (MAN) students in terms of gender. The study used a mixed method approach sampling 394 students from two madrasah in Bandung. In the quantitative phase, a survey questionnaire was distributed to the sampled students from which six groups of students were selected to participate in the qualitative phase. An FGD was conducted with each of the six groups to understand further their ability in digital citizenship.  The results showed female students’ ability in digital citizenship is higher than male. Both male and female students are strong in the aspect of digital security; but they are weak in digital wellbeing and digital civic engagement respectively. This study hopefully contributes to the curriculum development in MAN by taking into account the differences in order to create more effective digital citizens. Keyword: digital citizenship, male, female
PERBANDINGAN AKURASI PENGENALAN WAJAH MENGGUNAKAN METODE LBPH DAN EIGENFACE DALAM MENGENALI TIGA WAJAH SEKALIGUS SECARA REAL-TIME Harris Simaremare Simaremare
SITEKIN: Jurnal Sains, Teknologi dan Industri Vol 14, No 1 (2016): Desember 2016
Publisher : Fakultas Sains dan Teknologi Universitas Islam Negeri Sultan Syarif Kasim Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24014/sitekin.v14i1.2703

Abstract

Saat ini sistem pengenalan wajah sudah banyak dikembangkan, tetapi belum diketahui akurasi dari metode local binary pattern histogram (LBPH) dan eigenface untuk mengenali tiga wajah sekaligus secara real-time. Penelitian untuk mengenali lebih dari satu wajah ini penting dilakukan karena jika diterapkan pada kehidupan sehari-hari akan lebih efektif untuk digunakan, contohnya jika diterapkan pada sistem pencarian orangyang diharuskan untuk mengenali lebih dari satu wajah sekaligus. Penelitian ini bertujuan untuk mengetahui metode mana yang lebih baik antara metode LBPH dan metode eigenface dalam mengenali tiga wajah sekaligus secara real-time. Kemudian untuk mengetahui besarnya false acceptance rate (tingkat kesalahan dalam mengenali wajah) dan false rejection rate (tingkat kesalahan dalam menolak/tidak mengenali wajah) dari kedua metode itu. Hasil pengujian menunjukkan bahwa metode LBPH lebih baik dalam mengenali tiga wajah sekaligus secara real-time dibandingkan dengan metode eigenface karena tingkat akurasi pada metode LBPH tidak dipengaruhi oleh perbedaan pencahayaan yang didapat antara citra test dan citra input sedangkan tingkat akurasi pada metode Eigenface akan dipengaruhi oleh perbedaan pencahayaan yang didapat antara citra test dan citra input. False rejection rate dan False acceptance rate pada metode LBPH lebih rendah dibanding dengan metode eigenface, yang berarti semakin kecil False rejection rate dan False acceptance rate maka akan semakin besar tingkat akurasi pengenalan wajahnya. Rata-rata akurasi tertinggi pada metode LBPH adalah sebesar 100%, untuk metode Eigenface rata-rata akurasi tertinggi adalah sebesar 72.50%.
THE COMPARISON OF VEHICLE SPEED ACCURACY USING VIDEO BASED MIXTURE OF GAUSSIAN 2 METHOD AND K-NEAREST NEIGHBOR METHOD Harris Simaremare; Hadi Melwanda; Abdillah Abdillah
Seminar Nasional Teknologi Informasi Komunikasi dan Industri 2017: SNTIKI 9
Publisher : UIN Sultan Syarif Kasim Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (387.753 KB)

Abstract

Background subtraction has various of methods including mixture of gaussian 2 and k-nearest neighbor. Some vehicle speed detection system in previous research have different accuracy in detecting speed of vehicle. The different of accuracy arose the idea to compare the accuracy in detecting the speed of vehicles using the mixture of gaussian 2 with k-nearest neighbor supplied by OpenCV 3.0 library. During this research, four video has been recorded with scenario ofvehicle speed 20 km/h, 40 km h, 50 km/h and 60 km/h. Each video has different vehicle’s speed. The program was designed and built using mixture of 2 gaussian and k-nearest neighbor. Vehicle speed parameter retrieval conducted by 10 tests of four videos,which are 20km.avi, 40km.avi, 50km.avi and 60km.avi.The speed detected at each videois compared with the actual speed to obtain such further information as percentage of error accuracy of the two methods. From the test results, it is obtained that percentage error of mixture of gaussian 2 method is 0,36%-23,73%of the actual speed. The percentage error of k-nearest neighbor method is 64.2%-58,85% of the actual speed.
Smart Packgaes Box Berbasis Internet Of Things Menggunakan Telegram Bot Sri Ayu Nur Hidayati Putri; Oktaf Brillian Kharisma; Harris Simaremare; Abdillah Abdillah
JURNAL MEDIA INFORMATIKA BUDIDARMA Vol 7, No 1 (2023): Januari 2023
Publisher : Universitas Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/mib.v7i1.5517

Abstract

The trend of online shopping increases the use of delivery services. However, packages ordered online are often delivered when the customer is away from home, so the package is usually placed outside and unattended, which is not secure. Therefore, a safe place is needed to secure the package before received by the owner. Based on the problem, this study designed a Smart Packages Box based on the Internet of Things using the Telegram Bot, Wemos D1 R32 that connects the system with Telegram, Barcode Scanner GM66 to scan the barcode on the shipping label, Solenoid Door Lock, and ESP 32 Cam to monitor the condition of the package. Based on the Smart Packages Box test, the door lock can be opened if the barcode on the shipping label matches the receipt number that the owner has registered. The owner will get a notification status if the package has arrived through Telegram Bot. The barcode scan's response time test by courier was 3.20 to 4.50 seconds with a distance of 5 cm to 40 cm until the door locks open and locks again in 5 seconds. Based on the tests carried out there is a graph that illustrates a decrease at a distance of 50 cm which is caused by the distance being too far.The receipt number can be registered by writing "Daftar 1" on the Telegram bot with a limit of 10 receipts, and the owner can check the information status by writing "Cek" on the Telegram Bot. Hopefully, Smart Packages Box can improve the safety of packages even though it has not been received directly by the owner.
Desain Sistem Pendeteksi Plat Kendaraan Untuk Pengisian BBM Menggunakan Metode K-Nearest Neighbor (KNN) Mazlan Mazlan; Ewi Ismaredah; Haris Simaremare; Oktaf Brillian Kharisma
Journal of Information System Research (JOSH) Vol 4 No 4 (2023): Juli 2023
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/josh.v4i4.3768

Abstract

This study aims to design and develop a vehicle plate detection system for refueling. Applications built using the K-Nearest Neighbor (KNN) method, this method is used to classify vehicle plates. This research will use the OpenCV module in the python programming language to recognize vehicle plates and carry out the pre-processing, segmentation, feature extraction, and classification stages of vehicle Image data. This system will utilize the K-Nearest Neighbor (KNN) method such as edge detection, perspective transformation, and pattern recognition to achieve optimal results. The test results show that the system is able to recognize with high accuracy various types of vehicle license plates under different lighting conditions and viewing angles, thus a system can be created and determined for each license plate to only be refueled once a day. When the vehicle has never been filled on that day, the system will display a green light which means refueling can be done. Whereas for vehicles that have filled in on that day, the system will display a red light which means the vehicle cannot fill up so it must wait the next day after the system is reset. This system will be able to accurately and real-time detect and identify the vehicle plates used in the refueling process. Therefore, the design of this system is expected to be the basis for increasing efficiency in the refueling industry as well as providing a basis for the development of further research in this field.
PENDETEKSI PENEBANG LIAR MENGGUNAKAN SENSOR SUARA MAX4466 DI KAWASAN HUTAN Ahmad Zulfadli; Oktaf Brilian Kharisma; Harris Simaremare; Ewi Ismaredah
Transmisi: Jurnal Ilmiah Teknik Elektro Vol 25, No 3 Juli (2023): TRANSMISI: Jurnal Ilmiah Teknik Elektro
Publisher : Departemen Teknik Elektro, Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/transmisi.25.3.95-102

Abstract

Penebangan liar merupakan masalah serius yang menyebabkan rusaknya sumber daya hutan dari segi kualitas, kuantitas, dan ekosistem. Berbagai upaya telah dilakukan untuk mencegah praktik penebangan liar, antara lain pengawasan hutan, menetapkan undang-undang yang mengatur tindak pidana kasus penebang liar, dan mempertegas sanksi bagi pelaku penebang liar. Namun, praktik penebangan liar masih sering terjadi karena keterbatasan pengawasan yang bisa dilakukan. Oleh karena itu, dirancang sistem pendeteksi penebang liar sebagai alternatif untuk membantu pengawasan area hutan dari jarak jauh. Sistem dirancang untuk mengidentifikasi suara gergaji mesin menggunakan 4 sensor suara MAX4466. Kemudian, data tingkat kebisingan di proses dan dikirim dari Node ke IoT Gateway setiap satu menit. Dan setelah IoT Gateway menerima data, selanjutnya akan dikirim ke web server untuk disimpan di database dan ditampilkan di website monitoring.  Pada pengujian yang dilakukan, nilai ambang batas ditetapkan sebesar 60 dB. Hasilnya, sistem dapat mendeteksi suara gergaji mesin kecuali pada percobaan arah sensor 2 dengan jarak 50 m dikarenakan hambatan yang berbeda pada setiap arah sensor dalam pengujian dan mempengaruhi gelombang suara yang terdeteksi oleh sensor.
Electronic Networking System With Laser Light To Detect And Repel Sparrow Pests Nuracantha, Luqyana Aufa; Kharisma, Oktaf Brilian; Simaremare, Harris; Ismaredah, Ewi
PROtek : Jurnal Ilmiah Teknik Elektro Vol 12, No 2 (2025): Protek : Jurnal Ilmiah Teknik Elektro
Publisher : Program Studi Teknik Elektro Universitas Khairun

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33387/protk.v12i2.9204

Abstract

Rice is one of the staple foods of the Indonesian population and has an important role in the formation of the Gross Domestic Product (GDP). However, this role has not been able to run well because many pests attack and cause crop failure, one of which is sparrow pests. For this reason, a study was conducted using ultrasonic sound to disturb the pests so that they do not land and leave the rice plant. The ultrasonic sound is emitted when the bird approaches and breaks the electronic net of the laser beam spread over the rice plant. This prototype was built using the NodeMCU ESP32 microcontroller as the controller and system. And telegram is used as a supporting application to give on/off commands and battery percentage detectors to facilitate use. According to the the research, the prototype functions properly and the disturbed by ultrasonic sound with frequencies ranging from 0 - 22,000 Hz and sound pressure levels between 31.6 - 93.2 decibels.
Co-Authors Abdillah Abdillah Abdillah Abdillah Ahmad Zulfadli Ewi Ismaredah Ewi Ismaredah Ewi Ismaredah Hadi Melwanda Kharisma, Oktaf Brilian Kharisma, Oktaf Brillian Mazlan Mazlan Najwa, Nina Fadilah Nuracantha, Luqyana Aufa Okfalisa Okfalisa Rahmad Abdillah Raihani Raihani Ricca Angreini Munthe Sri Ayu Nur Hidayati Putri