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All Journal InfoTekJar : Jurnal Nasional Informatika dan Teknologi Jaringan Query : Jurnal Sistem Informasi ALGORITMA : JURNAL ILMU KOMPUTER DAN INFORMATIKA JURNAL TEKNOLOGI DAN ILMU KOMPUTER PRIMA (JUTIKOMP) JOURNAL OF INFORMATION SYSTEM RESEARCH (JOSH) TIN: TERAPAN INFORMATIKA NUSANTARA JPM: JURNAL PENGABDIAN MASYARAKAT Jurnal UNITEK Jurnal Ilmu Komputer dan Sistem Komputer Terapan (JIKSTRA) Jurnal Pengabdian Masyarakat IPTEK EXPLORER Prosiding Snastikom Journal of Practical Computer Science (JPCS) Jurnal Komputer Teknologi Informasi Sistem Komputer (JUKTISI) Prioritas : Jurnal Pengabdian Kepada Masyarakat Jurnal Hasil Pengabdian Masyarakat (JURIBMAS) Jurnal Ilmu Komputer dan Sistem Informasi Jurnal Pengabdian Masyarakat Jurnal Masyarakat Berdikari dan Berkarya (MARDIKA)
Hasibuan, Ade Zulkarnain
Universitas Samudra
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Journal : Jurnal Ilmu Komputer dan Sistem Komputer Terapan (JIKSTRA)

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Sistem Monitoring Suhu Udara dan Kelembaban Udara di Ruangan Menggunakan Smartphone: Array Hasibuan, Ade Zulkarnain; Asih, Munjiat Setiani; Faisal, Ilham
Jurnal Ilmu Komputer dan Sistem Komputer Terapan (JIKSTRA) Vol. 2 No. 1 (2020): Edisi April
Publisher : Universitas Harapan Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35447/jikstra.v2i1.228

Abstract

Human ignorance of their surroundings sometimes makes their health disturbed. Many factors cause a person to become uncomfortable, even to the point of making their health decline. Factors that can make a person uncomfortable and disturbed in terms of health are air temperature and humidity which are not suitable for the human body. Therefore we need a tool that can provide information to users about air temperature and humidity in the room where they are located. The tool is made using Arduino nano and uses the DTH11 sensor as a sensor which is used to read air temperature and humidity. Then to transmit the sensor value, the HC05 bluetooth module is used in the circuit. The smartphone will receive information on air temperature and humidity in real time. In applications on smartphones, in addition to the values of air temperature and humidity, there is also a smile indicator that provides information on air temperature and humidity that is good for humans. With this tool, it can make it easier for users to find out information on air temperature and humidity in the room in which they are located.
Pemanfaatan Internet Of Thing untuk Pengendalian Solenoid Doorlock dalam Sistem Keamanan Rumah Cerdas Asih, Munjiat Setiani; Hasibuan, Ade Zulkarnain
Jurnal Ilmu Komputer dan Sistem Komputer Terapan (JIKSTRA) Vol. 5 No. 1 (2023): Edisi April
Publisher : Universitas Harapan Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35447/jikstra.v5i1.750

Abstract

Pengamanan pintu pada rumah merupakan hal paling penting yang harus diperhatikan oleh setiap orang. Banyak cara yang dilakukan oleh setiap orang untuk mengamankan pintu rumahnya, misalnya dengan memasang pintu besi, memasang gembok, memasang perangkat smart doorlock, ataupun memasang alarm. Salah satu cara untuk mengamankan rumah yaitu dengan memasang perangkat yang dapat mengunci dan membuka pintu rumah menggunakan teknologi IoT. Dalam pembuatan perangkat tersebut dibutuhkan arduino sebagai pengendali utamanya dan solenoid door lock digunakan sebagai perangkat yang mengunci pintu rumah tersebut. Sedangkan untuk menghubungkan perangkat tersebut dengan teknologi IoT dibutuhkan ESP8266, dimana ESP8266 ini dihubungkan dengan arduino agar arduino dapat terhubung ke jaringan internet. Selain itu dibutuhkan aplikasi berbasis website yang digunakan untuk mengendalikan perangkat tersebut. Dengan menggunakan aplikasi tersebut pemilik rumah dapat memantau apakah pintunya sudah terkunci atau belum selain itu pemilik rumah juga dapat melihat status pintu rumahnya terbuka atau tertutup, sehingga mengurangi keraguan akan keamanan rumah saat ditinggalkan. Karena dengan perangkat ini pemilik rumah dapat memperoleh informasi terkait pintu rumahnya jika tidak terkunci.
Analisa Perbandingan Metode Arithmetic Mean Filtering dan Metode Konvolusi Pada Citra Bernoise Algama, Bella; Sembiring, Arnes; Hasibuan, Ade Zulkarnain
Jurnal Ilmu Komputer dan Sistem Komputer Terapan (JIKSTRA) Vol. 5 No. 2 (2023): Edisi Oktober
Publisher : Universitas Harapan Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35447/jikstra.v5i2.833

Abstract

Image capture often experiences problems which can be caused by errors in the camera lens or dirt in the image. This interference is called noise or noise. Noise makes an image unclear and damages the quality of an image. There are many types of noise in images, one of which is salt and pepper noise. This noise will give black and white spots on the image like a sprinkling of salt caused by bit errors when sending data, or damage to the storage area so that filtering is needed on the image to improve the image quality to be better than the original image. The filtering technique used for noisy images is arithmetic mean filter and convolution. Arithmetic mean filtering improves image quality by replacing the pixel value with the average value of its neighboring pixels, while the image convolution technique gives a new value to each pixel by performing several calculation functions from that pixel to the pixels around it. To measure the filtered noise which has decreased, the MSE and PSNR parameters are used. The results obtained through MSE and PSNR which are better used in reducing noise are the arithmetic mean filter. The arithmetic mean filter makes images with salt and pepper noise experience a decrease as seen from the resulting PSNR value which is higher, namely 52% compared to the convolution PSNR value of 47%.
Analisis Prediksi Jumlah Mahasiswa Universitas Harapan Medan Menggunakan Metode Least Square Asih, Munjiat Setiani; Hasibuan, Ade Zulkarnain
Jurnal Ilmu Komputer dan Sistem Komputer Terapan (JIKSTRA) Vol. 5 No. 2 (2023): Edisi Oktober
Publisher : Universitas Harapan Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35447/jikstra.v5i2.879

Abstract

Increasing the number of students in tertiary institutions is the main focus for university administrators in planning development strategies and better educational services. Predicting future student numbers is important in the context of long-term planning and strategic decision making in higher education institutions. This research aims to predict the number of students at Harapan University, Medan in 2024 based on historical data from 2017 to 2023 using the least squares method. The least squares prediction method is used to fit a linear regression model that connects the independent variable (year) with the dependent variable (number of students). Historical data on the number of students over a specified time period is used to develop an accurate forecasting model. The research results show that based on the least squares model adjusted to historical data, the increase in the number of students at Harapan Medan University is projected to be 14.17% in 2024. The results of this prediction provide valuable insight for university managers in planning and implementing promotional strategies, resource allocation , and plans for new student admissions. By better understanding student growth trends, universitiescan improve operational efficiency, optimize academic and administrative services, and strengthen their position in the higher education market. This research has important implications for higher education management in the context of strategic planning and development of educational institutions.
Co-Authors Abdul Jabbar Lubis Adidtya Perdana, Adidtya Algama, Bella Angga Arif Rahman Hasibuan Arnes Sembiring Asih, Munjiat Setiani Dian Novita Pardede Dodi Siregar Dodi Siregar Dwi Dika Lestari Dwitya, Yonadiah Evi Triana Fadhilla, Cut Alna Fadhlurahman, M Imam Fahril, Muhammad Ari Faisal, Ilham Fajri, Rahmatul Fera Damayanti Fiqi Arfian Furqonie, Fanggi Chikal Gunawan, Chichi Rizka Hadinata, Edrian Harahap, Herlina Herman, Yurico Ilham Faisal Indah Monisa Indah Suci Ramadani Irwanda Syahputra Irwansyah Irwansyah Kalvin Chiuloto Kalvin Chiuloto Khairul Sani Khairunnisa Mhd Ridho Wiratama Muhammad Fauzan Akbar Muhammad Irsan Munawir Munawir Nadia Vathresia1 Nizmaldy Astoro Witjati Putra, Andre Kurnia Rachmat Aulia Rahman, Sayuti Rismayanti Rismayanti - Rismayanti Rismayanti Rizkiman Waruru Sembirimg, Arnes Sembiring, Arnes Sembiring, Arnes Siti Sundari Syahputra Danur, Rudy Syahputri, Nenna Irsa Tengku Mohd Diansyah, Tengku Mohd Tommy Tommy Yessi Fitri Annisah Lubis Yolanda Fitriani Nasution Zulkardin Sarumaha