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Journal of System and Computer Engineering
Published by Universitas Pancasakti Makassar
ISSN : -     EISSN : 27231240     DOI : -
Core Subject : Science,
Computer Science & IT Decision Sciences, Operations Research & Management
Programming Languages Algorithms and Theory Computer Architecture and Systems Artificial Intelligence Computer Vision Machine Learning Systems Analysis Data Communications Cloud Computing Object Oriented Systems Analysis and Design Computer and Network Security Data Mining
Arjuna Subject : Ilmu Komputer (semua kategori) - Ilmu Komputer (Lain-Lain)
Articles 45 Documents
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Rancang Bangun Alat Sistem Pemantauan Kadar Ph Air Sungai Tello Berbasis Mikrokontroler Syarifuddin Baco; Musrawati Musrawati
Journal of System and Computer Engineering (JSCE) Vol 4 No 2 (2023): JSCE: Juli 2023
Publisher : Universitas Pancasakti

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61628/jsce.v4i2.840

Abstract

Tujuan penelitian ini adalah untuk merancang sistem pemantauan kadar Ph air Sungai Telloberbasis Mikrokontroler. serta mengetahui dan menguji sistem pemantauan kadar Ph air sungaiberbasis Mikrokontroler. dengan menggunakan metode Penelitian pendekatan penelitian saintifikyaitu pendekatan berdasarkan ilmu pengetahuan dan teknologi. Berdasarkan sifatnya, pendekatandalam penelitian ini adalah pendekatan kuantitatif. “Data kuantitatif merupakan suatu karakteristikdari suatu variabel yang nilai nilainya dinyatakan dalam bentuk numerical”. Kuantitatif digunakankarena sistem ini mengeluarkan output berupa bentuk-bentuk numerical atau angka. Penelitian inimerupakan penelitian rancang bangun alat dan pra rancangan sistem dengan melakukanprancangan software dan Perancangan hardware. Sistem pemantaun kadar Ph pada masyarakatmasih kurang efisien. Metode dalam penelitian ini adalah sensor pH dan sensor Turbility berbasisMikrokontroler,serta menggunakan pendekatan kuantitatif. Hasil dari penelitian ini adalah Alatdapat membaca Alat dapat membaca kadar pH air 6,5-8,5 dan nilai NTU air 0–2 dengan nilai yangdidapatkan dari sensor pH dan sensor turbility ini masyarakat sudah mengetahui standar air yangbisa di gunakan. Kesimpulan alat sistem pemantauan air layak komsumsi, untuk masyrakat sudahdapat bekerja dengan baik dengan derajat keasaman serta kekeruhan air,yang sudah teruji secaramenyeluruh
Penerapan Sistem Tracking Berbasis GPS pada Alat Pendeteksi Alkohol Terintegrasi dengan Arduino untuk Pengemudi Mobil Penumpang Umum Abd Karim Jusuf; Muh Agus
Journal of System and Computer Engineering (JSCE) Vol 4 No 2 (2023): JSCE: Juli 2023
Publisher : Universitas Pancasakti

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61628/jsce.v4i2.871

Abstract

Regarding the problems faced by managers of the transportation business, namely cases of vehicle theft which still often occur, therefore an idea emerged on how owners can monitor their vehicles effectively, then accidents that usually occur due to reckless public transportation drivers due to influence of liquor. Based on the background described above, the authors aim to conduct research by creating a GPS tracking tool that is integrated with Arduino, which is able to monitor the location of the driver/vehicle and is able to reduce vehicle embezzlement, and the system to be designed is able to detect whether the driver of the vehicle is in a state of drink alcohol or not. Research has been carried out on 2 people, namely for the first person, the lowest sensor data reading was obtained, namely 22 ppm with a delay of 2 seconds for GPS readings for a distance of 3.5 km and the condition of the relay was off indicating that alcohol was not detected, and for the highest sensor data readings it was at 109 ppm with a delay of 3 seconds GPS reading for a distance of 4.2 km and the condition of the relay is on which indicates alcohol is detected. In the second person test, the lowest sensor data reading was obtained, namely 23 ppm with a 4 second GPS reading delay for a distance of 11 km and the condition of the relay was off indicating no alcohol was detected, and the highest sensor data reading was 121 ppm with a 2 second GPS reading delay for a distance 10 km and the condition of the relay is on which indicates alcohol is detected. GPS testing was carried out 10 times for each person where the longest distance tested on the first person was 42 km, and the shortest distance was 3.3 km. And for the test, the fastest delay in reading the driver's location is 2 seconds, and the longest is 5 seconds. In testing the second person, the longest distance was 12 km, and the shortest distance was 10 km. And in the test, the fastest delay in reading the driver's location point is 2 seconds, and the longest delay in reading the location point is 4 seconds.
Klasifikasi Citra Daging Babi dan Daging Kerbau Menggunakan Histogram Citra dan GLCM Irene Devi Damayanti; Aryo Michael; Fridolin Fridolin; Helce K. Y. Piopadang; Setriyanti P.
Journal of System and Computer Engineering (JSCE) Vol 4 No 2 (2023): JSCE: Juli 2023
Publisher : Universitas Pancasakti

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61628/jsce.v4i2.878

Abstract

Due to high consumer demand, some traders use the high price of meat to make a profit by mixing pork and buffalo meat. Some consumers are not aware of this, because in plain view buffalo meat with pork meat is difficult to distinguish, especially for some ordinary people. This action is very detrimental and disturbing the local community, especially Muslims. At present, technological advances in the field of digital image processing are increasing rapidly, especially in food products. In general, this research was conducted in 2 (three) stages. The first stage, namely the stage of image data collection of pork and buffalo meat. The second stage, namely the classification of pork and buffalo meat images using image histogram analysis and the Gray Level Co-occurrence Matrix (GLCM) method based on the color and texture of the meat. In this study using the Red Green Blue (RGB) color image method and GLCM texture extraction, namely contrast, homogeneity, energy, and correlation. The study was conducted using 20 samples of meat images (10 images of pork and 10 images of buffalo meat, respectively). Based on the results of the research that has been done, it was found that the image of buffalo meat has a higher percentage value of the Red (R) color component when compared to the pork image, whereas the percentage value of the Green (G) and Blue (B) color components is lower when compared to the image pork. Then, if the value between pixels is not homogeneous (small homogeneity value), then the contrast value is large, and vice versa if the value between pixels is homogeneous (large homogeneity value) then the contrast value is small. The image of buffalo meat has a small homogeneity value compared to the image of pork, so the variation in intensity (contrast) in the image of buffalo meat is high.
Sistem Kendali Ayunan Bayi Berbasis Mikrokontroller dan Android Ahmad Abdullah; Zahir Zainuddin; Andani Achmad
Journal of System and Computer Engineering (JSCE) Vol 4 No 2 (2023): JSCE: Juli 2023
Publisher : Universitas Pancasakti

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61628/jsce.v4i2.889

Abstract

This study aims to design a prototype of a microcontroller and arduino-based baby swing control system that will be very useful for housewives who have babies. This system will automatically work to move the swing when the sound of a baby and water is detected. This system is designed using a sound sensor that functions to detect the baby's voice, a water sensor to detect water when a baby is urinating, a DC motor that functions to move the swing automatically and a mobile application that functions to monitor swings. The test results show that the tool functions as desired, where when the tool detects the sound of a baby's cry, the tool automatically moves the swing, when the tool detects the presence of water, the swing will send a notification to the smartphone, this tool also successfully displays information to the smartphone in the form of a state baby in the form of video and sensor conditions on the swing. The communication distance between the smartphone and the device is 20 meters.
Penentuan Penerima Beasiswa Sekolah Berbasis Visualisasi Graph Database Menggunakan Metode Analytical Hierarchy Process (AHP) Walidatul Isna Khasanah; Abd. Charis Fauzan; Tito Prabowo
Journal of System and Computer Engineering (JSCE) Vol 4 No 2 (2023): JSCE: Juli 2023
Publisher : Universitas Pancasakti

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61628/jsce.v4i2.892

Abstract

Banyak masyarakat kalangan menengah yang tidak mampu memberikan biaya pendidikan anaknya mencapai 9 tahun. Di sekolah terdapat program pemberian beasiswa PIP, namun sistemnya masih dijalankan secara manual yang menyebakan penyaluran beasiswa kurang tepat. Hal tersebut dikarenakan pihak yang diberi kepercayaan untuk menentukan beasiswa melihat kriteria-kriteria masih terpisah dan juga dipengaruhi calon penerima beasiswaa yang jumlahnya cukup banyak. maka dibutuhkan sistem yag bisa membantu sekolah dalam mengambil keputusan berdasarkan kriteria. Graph database sendiri bisa diartikan sebagai suatu model basis data yang didalamnya berisi node, relasi dan property. IMetode iAHP imerupakan isalah isatu imodel ipendukung ikeputusan, instrumen iutamanya iadalah hirarki ifungsional, dan iinput iutamanya iadalah ipersepsi imanusia. Dalam hal ini, mereka adalah ahli dalam menangani bab Beasiswa. Dalam AHP, prioritas terdiri dari berbagai pilihan yang berbeda dan berupa kriteria yang telah terstruktur sebelumnya, sehingga metode AHP dapat diandalkan. Jadi penentuan priioritas didasarkan pada proses yang hierarkis dan masuk akal. Pada penelitian ini penentuan bobot pada setiap kriteria seleksi beasiswa diambil dari yang paling tinggi nilainya yang akan diprioritaskan menjadi penerima beasiswa. Dengan perhitungan ini dihasilkan perankingan yag menunjukkan kualitas siswa yang layak atau belum layak sesuai dengan kriteria yang telah ditentukan. Dari perhitungan tersebut kemudian divisualisasikan kedalam graph database dengan Neo4j. Hasil dari visualisasi menunjukkan urutan ranking siswa yang layak menerima beasiswa dari yang tertinggi ke terendah.

Page 5 of 5 | Total Record : 45

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