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FIKOM UNISAN Jl. Drs. Achmad Nadjamuddin No.17, Dulalowo Tim., Kota Tengah, Kota Gorontalo Gorontalo 96135
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Jurnal Ilmiah Ilmu Komputer Banthayo Lo Komputer (BALOK)
Published by Universitas Ichsan Gorontalo
ISSN : 28284666     EISSN : 28279425     DOI : https://doi.org/10.37195/balok.v1i1
Core Subject : Science,
Computer Science & IT
JOURNAL ILMIAH (Banthayo Lo Komputer) BALOK encompasses all aspects of the latest outstanding research and developments in the field of computer science including; Artificial Intelligence, Software Enginering, Data Mining, Computer Networks, Internet of Things,
Arjuna Subject : Ilmu Komputer (semua kategori) - Kecerdasan Buatan
Articles 10 Documents
 1 
Search results for , issue "Vol 2 No 2 (2023): November 2023" : 10 Documents clear
Prediksi Jumlah Persediaan Telur Ayam Menggunakan Metode K-Neares Neighbor: - baguna, filda; Husdi, Husdi; Taliki, Sunarto; Kamaruddin, Andi
Jurnal Ilmiah Ilmu Komputer Banthayo Lo Komputer Vol 2 No 2 (2023): November 2023
Publisher : Teknik Informatika Fakultas Ilmu Komputer Universitas Ichsan Gorontalo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37195/balok.v2i2.119

Abstract

Abstract - UD. Unggas Karya Mandiri is one of the production areas producing chicken eggs in Banggai Laut Regency, with the existence of UD Unggas Karya Mandiri Banggai Laut which has the aim of increasing the number and types of employment opportunities for Banggai Laut Regency in particular. Based on the results of research at UD Unggaas Karya Mandiri Banggai Laut, this is the result of fluctuating chicken egg production or unstable production which is caused by several things, namely lack of availability of feed ingredients, anti-biotic drugs, vaccinations and so on. The aim of this research is to obtain better accuracy in predicting the number of chicken egg supplies at UD Unggas Karya Mandiri Banggai Laut by applying the K-Nearest Neighbor method. Based on the prediction results with existing data, it was obtained using the K-Nearest Neighbor method. This application was able to predict the number of chicken egg supplies at UD Unggas Karya Mandiri. It can be seen that the prediction application for the number of chicken egg supplies at UD Unggas Karya Mandiri Banggai Laut can be applied with an accuracy of 96.98% of the prediction results obtained.. Keywords: Prediction, Eggs, Accuracy, Inventory, K-Nearest Neighbor
Implementasi Metode Regresi Linear Sederhana Untuk Prediksi Harga Cabai Rawit Moha Lalapa, Nazarullah; Warid; Serwin
Jurnal Ilmiah Ilmu Komputer Banthayo Lo Komputer Vol 2 No 2 (2023): November 2023
Publisher : Teknik Informatika Fakultas Ilmu Komputer Universitas Ichsan Gorontalo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37195/balok.v2i2.121

Abstract

Abstract ; The potential for developing cayenne pepper farming is widely open, especially in Gorontalo Province. After being designated as the second leading commodity in Gorontalo province after corn, the total cayenne pepper production in 2020 reached 147,292 tons (Central Bureau of Statistics of Gorontalo Province in 2020). Gorontalo District is one of the centers for cayenne pepper production in Gorontalo Province. The production contribution until 2020 reaches 35.65% of the whole cayenne pepper production in Gorontalo Province. This contribution places Gorontalo District as the second-largest producer of cayenne pepper after Bone Bolango. The high price of cayenne pepper production in Gorontalo District often causes a market price to drop by up to IDR 20,000/kg, while in fact, it is before religious holidays.  The cayenne pepper price soars drastically. To cope with the problem, it is necessary to use a prediction technique using the Simple Linear Regression and MAPE method. This research aims to design a system to predict the price of cayenne pepper. The variables used are Production as the value of X and Price as the value of Y. Based on the prediction results, it gains an error rate of 24.00% or an accuracy rate of 76.00%.  It means that the system designed is feasible to be used or applied to predict the price of cayenne pepper. Keywords: simple linear regression, mape, cayenne pepper
Penerapan Metode Least Square Untuk Memprediksi Harga Pangan Di Kota Gorontalo lahabu, sintiya; Sudirman S; Harun, Rofiq
Jurnal Ilmiah Ilmu Komputer Banthayo Lo Komputer Vol 2 No 2 (2023): November 2023
Publisher : Teknik Informatika Fakultas Ilmu Komputer Universitas Ichsan Gorontalo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37195/balok.v2i2.134

Abstract

  Abstract ; This study aims to predict food prices in Gorontalo city. Food is a basic human need. Garlic (Allium sativum) is a type of food and is one of the commodities to be developed because it has become a community need as a spice almost in every dish. The increase in onion prices is highly dependent on the harvest and planting seasons. It is also affected by weather and pest attacks. In addition, price increases are also related to marketing activities. If compared to consumer areas, onion prices in producer areas are lower. The main problem is the difficulty of predicting food prices, especially garlic which can change at any time due to the unstable availability in the market. It is influenced by several factors such as weather and pest attacks. This study wants to create a system with data mining techniques that will be used to predict food prices in Gorontalo city based on previous food price data and using the Least Square method and finding the level of error using the Mean Absolute Percentage Error (MAPE). The result of the level of accuracy for food prices is 80.59%. The results of this accuracy can be categorized that the application made is feasible to be used in predicting food prices in Gorontalo city.   Keywords: Least Square, food price prediction, MAPE
Sistem Kendali Pemberian Pakan Ayam Broiler Otomatis Berbasis Mikrokontroler Tongkonoo, Agustian; Salihi, Irvan Abraham; Taliki, Sunarto
Jurnal Ilmiah Ilmu Komputer Banthayo Lo Komputer Vol 2 No 2 (2023): November 2023
Publisher : Teknik Informatika Fakultas Ilmu Komputer Universitas Ichsan Gorontalo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37195/balok.v2i2.180

Abstract

ABSTRACT ; A control system is a system that produces a certain value as its output through controlling or changing the provisions of the system input. Feeding is an important element in determining the level of broiler production. Likewise, there is one farmer in Bilungala Village, Bone Pantai Subdistrict producing broiler chickens. Feeding chickens can be made easier by using a mechanical device controlled by equipment. This system uses a microcontroller connected to an Arduino and a timer for feeding chickens with a Real-Time Clock (RTC). This automatic tool has two parts, namely, the main container serves as a place to store food reserves and the second container as a place to feed the chickens. The Real-Time Clock functions to regulate the feeding hours of broilers. A Solenoid Valve functions as a faucet for feeding the broilers carried out from 07.00 through 17.00. It is for the morning, noon, and evening feedings regulated by the Real-Time Clock (RTC).Keywords: control system, chicken feeding, automatic, RTC (Real Time Clock), Solenoid Valve  
Klasifikasi Klasifikasi Jenis Buah Tomat Menggunakan Convolutional Neural Network Ahmad; Idris, Irma Surya Kumala; Bode, Andi
Jurnal Ilmiah Ilmu Komputer Banthayo Lo Komputer Vol 2 No 2 (2023): November 2023
Publisher : Teknik Informatika Fakultas Ilmu Komputer Universitas Ichsan Gorontalo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37195/balok.v2i2.617

Abstract

Abstrac ; Some Indonesian people utilize food sources evenly. Tomatoes are known to have very good nutritional content so people can consume them every day. Many species/types of tomatoes have high similarity so it is difficult to distinguish them. Tomato fruit type recognition in this study employs Convolutional Neural Network. The stages of the method used are feature learning and classification. To classify tomato fruit types, the CNN network is trained with image training data. The training process is carried out by looking for a form of model that is following the data to be processed to get the best results. It is also used in the argumentation process on training and validation data so that overfitting does not occur in the CNN network. The experimental results show that the convolutional Neural Network method can recognize tomato types with an accuracy rate of 96.6%, recall of 100%, precision of 96.6%, and an F-1 Score of 96.28% of 30 images using Confusion Matrix testing.   Keywords: classification, tomato fruit type, Convolutional Neural Network
Analisi Efektivitas Pembelajaran Daring Spada Unisan Dengan Menggunakan Metode System Usability Scale damopolii, muhlis; Lasulika, Mohamad Efendi; Mustofa, Yasil Aril
Jurnal Ilmiah Ilmu Komputer Banthayo Lo Komputer Vol 2 No 2 (2023): November 2023
Publisher : Teknik Informatika Fakultas Ilmu Komputer Universitas Ichsan Gorontalo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37195/balok.v2i2.627

Abstract

 ABSTRACT ; Online learning is distance learning that is conducted indirectly or through face- to-face communication by video conferencing, uploading, and downloading materials and assignments via the internet. It is not new. It has been widely applied in high schools and universities but is ineffective due to the lack of facilities. It occurs in universities between students and lecturers. To make students and lecturers understand online learning, Universitas Ichsan Gorontalo, especially the Informatics Engineering Study Program, has carried out an online learning system using an application, commonly called SPADA UNISAN. It is provided to meet the needs of the teaching and learning process between students and lecturers to be more flexible, efficient, measurable, and enjoyable. The results of the analysis of online learning using the method of System Usability Scale) indicate that the results of the assessment given to 114 respondents obtain a score of 45%. with the Acceptability Ranges version obtains “Not Acceptable”. The grade scale results in terms of the level of user acceptance are included in the Poor Category, and the score obtained is above the average score. It means that this system cannot be accepted by its users and has been below the standard usability average value setKeywords: fuzzy Tsukamoto, online game addiction, duration, compulsion, Keywords: system analysis, online learning, SUS method
Implementasi Augmented Reality sebagai Pengenalan Benda Bersejarah di Museum Purbakala Popa Eyato Gorontalo Menggunakan Metode Marker Based Tracking Sukayasa, I Nengah; Nasrullah, Asmaul Husnah; Melangi, Sudirman
Jurnal Ilmiah Ilmu Komputer Banthayo Lo Komputer Vol 2 No 2 (2023): November 2023
Publisher : Teknik Informatika Fakultas Ilmu Komputer Universitas Ichsan Gorontalo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37195/balok.v2i2.639

Abstract

Abstract ; Augmented Reality is a technology that combines 2 or 3--dimensional objects into images on markers and then projects 3D objects directly. AR is very useful as a tourist data media to attract the attention of tourists both domestic and foreign tourists.  It also shares different experiences and guidance in mastering each place or tourist attraction visited. In making this application, the unity3D is used by applying the Marker Based Tracking method. This marker method is to detect markers in Augmented Reality applications so that they can display 3D visualizations of historical objects in the Popa Eyato Gorontalo ancient museum. The utilization of Augmented Reality technology in this recognition system can provide an overview of historical objects in the Popa Eyato Gorontalo ancient museum to increase its attractiveness to the public to get to know historical objects in the Popa Eyato Gorontalo ancient museum. Keywords: augmented reality, android, marker-based tracking, Vuforia
Sistem Pendeteksi Kekeruhan Air Pada Bioflok Ikan Lele di Desa Bulontala Timur Asri, Muhammad; Hulukati, Stephan A.; Nyaman, Fazal S.
Jurnal Ilmiah Ilmu Komputer Banthayo Lo Komputer Vol 2 No 2 (2023): November 2023
Publisher : Teknik Informatika Fakultas Ilmu Komputer Universitas Ichsan Gorontalo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37195/balok.v2i2.708

Abstract

Abstract-The purpose of this research is to build a water turbidity detection tool in Arduino Uno-based catfish bioflocs. Catfish cultivation managed by the Al-Hidayah Farmer group in East Bulontala Village is recommended to pay attention to the turbidity of the water in the catfish pond because of the large number of particles and suspended substances in the pond water that can cause catfish growth to be inhibited. The construction of a water turbidity detection device in catfish Bioflocs is expected to improve catfish growth. This research focuses on six samples of catfish pond water with three states of pond water turbidity. Testing is done by giving input to the tool and the resulting output can display turbidity information data through the LCD. From the measurement results of the water turbidity detection device on the catfish biofloc, it is concluded that if the turbidity of the catfish pond water is less than 20 NTU, the pond water is declared clear. Then if the turbidity of the catfish pond water is more than 20 to less than 50 NTU, the pond water is declared in a moderate state. On the other hand, if the turbidity of the catfish pond water is more than 50 NTU, the catfish pond water is declared turbid. The tool that has been designed can function and provide information about the water quality of the biofloc system catfish pond where the water quality of the pond in the Al-Hidayah Farmer group in East Bulontala Village is still relatively good in accordance with the standardization of water quality for fish. Keywords: Bioflok; water turbidity; turbidity sensor
Prediksi Jumlah Pengunjung Pantai Bolihutuo Mengunakan Metode Fuzzy Time Series Hasan, Maryam
Jurnal Ilmiah Ilmu Komputer Banthayo Lo Komputer Vol 2 No 2 (2023): November 2023
Publisher : Teknik Informatika Fakultas Ilmu Komputer Universitas Ichsan Gorontalo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37195/balok.v2i2.709

Abstract

Abstract - This research is to find out the results of applying the Fuzzy time series method in predicting the number of visitors to Bolihutuo tourism each month which experiences ups and downs, this condition results in unpreparedness from the officers and administration of Bolihutuo tourism. Bolihutuo visitor data was taken from daily data from January 3 2021 to February 23 and then processed by making predictions using the fuzzy time series method. From the results of the processing carried out, we obtained a fairly good level of prediction accuracy with an accuracy value of 98.96242716% and a Mean Absolute Percentage Error (MAPE) value of 1.037572843%. From the accuracy results obtained and also the mean Absolute Percentage Error (MAPE) value obtained, it can be concluded that the prediction system obtained good results. Keywords: visitors, Bolihutuo beach, tourism, prediction, Fuzzy Time
Implementasi Augmented Reality Sebagai Media Pengenalan Monumen Bersejarah Gorontalo Berbasis Android Kolopita, Roji Anugrah; Y Lamasigi, Zulfriyanto; Pakaya, Roys
Jurnal Ilmiah Ilmu Komputer Banthayo Lo Komputer Vol 2 No 2 (2023): November 2023
Publisher : Teknik Informatika Fakultas Ilmu Komputer Universitas Ichsan Gorontalo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37195/balok.v2i2.710

Abstract

Abstract - Augmented Reality is a technology that combines 2-dimensional objects or 3- dimensional objects into images on markers and then projects the 3D objects directly. It is very useful as a tourism data media to attract tourists both domestic and foreign, as well as to share different experiences and guidance in mastering each place or tourism attraction visited. In making this application the researcher uses unity3D by applying the Marker-Based Tracking method. This marker method is used to detect markers in an Augmented Reality application so that it can display 3D visualizations of Gorontalo historical monuments. The utilization of Augmented Reality technology in this recognition system can provide an overview of the Gorontalo Historical Monument so that it can increase the attractiveness of the public to get to know historical monuments in Gorontalo. Keywords: augmented reality, android, marker-based tracking, Vuforia

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