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Jurnal Ilmiah Ilmu Komputer Banthayo Lo Komputer (BALOK)

balok
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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 77 Documents

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Game Puzzle Edukatif Pengenalan Tokoh Pahlawan Nasional Indonesia Berbasis Android: Android, Game, Puzzle Amir Husain
Jurnal Ilmiah Ilmu Komputer Banthayo Lo Komputer Vol 1 No 1 (2022): Edisi Mei 2022
Publisher : Teknik Informatika Fakultas Ilmu Komputer Universitas Ichsan Gorontalo

Metode yang digunakan dalam penelitian adalah metode Research and Development (R&D) dengan menggunakan software pendukung yaitu Construct 2. Tahapan dalam proses penelitian ini meliputi tahap analisis, desain, konstruksi, pengembangan dan pengujian sistem. Pengujian yang dilakukan berupa validasi yang ditinjau oleh pakar media dan ahli materi, kemudain yang menjadi media uji coba adalah siswa. Penelitian dan pengujian ini dilakukan di SD Negeri 1 Tilamuta dengan melibatkan 11 siswa yang memberikan penilaian terhadap game melalui kuesioner, kemudian penilaian diterjemahkan menjadi deskriptif kualitatif untuk mengetahui kelayakan game. Aplikasi ini telah bebas dari kesalahan komponen-komponennya berdasarkan pengujian Black Box, dari hasil pengujian User Acceptance aplikasi dapat dimanfaatkan oleh anak-anak SD. Dengan demikian dapat disimpulkan bahwa diperoleh Game Edukatif Bentuk Puzzle Pengenalan Tokoh Pahlawan Nasional Indonesia Berbasis Android yang baik dan efektif sehingga dapat diimplementasikan.

Analisis Kebutuhan Bandwidth Dan Kualitas Kecepatan Jaringan Wifi UNISAN Pada Game Online Rapin Igirisa
Jurnal Ilmiah Ilmu Komputer Banthayo Lo Komputer Vol 1 No 1 (2022): Edisi Mei 2022
Publisher : Teknik Informatika Fakultas Ilmu Komputer Universitas Ichsan Gorontalo

Abstrak— Analisis Kebutuhan Bandwidth dan Kualitas Kecepatan Jaringan wifi UNISAN Pada Game Online (PUBG, MOBILE LEGEND, & FREE FIRE) pada masing-masing game dilakukan pengujian pada tiga waktu yaitu: pagi, siang, dan malam menggunakan metode pengujian langsung, dengan melakukan pengukuran kualitas kecepatan jaringan dan kebutuhan bandwidth dengan menggunakan beberapa alat seperti: router, smartphone dan laptop, dengan menggunakan suatu aplikasi pengukur wirshark, game online, Trafik monitor dan parameter Qos. Dari hasil pengujian yang diperoleh terlihat perbandingan kualitas kecepatan atau kebutuhan bandwidth pada jaringan wifi Unisan di masing – masing game. Pada game PUBG hasil download 29,43 kb/s, upload 22,62 kb/s, game Free fire hasil download 12,28 kb/s, upload 10,40 kb/s, pada game Mobile legend hasil download 8,71 kb/s, upload 5,69 kb/s. hasil nilai tertinggi terdapat pada Game PUBG dan hasil nilai terendah terdapat pada game Mobile legend. Kata Kunci : Bandwidth, Quality Of Service, jaringan wifi unisan, Wireshark, Game Online.

Penerapan Algoritma Naïve Bayes Berbasis Backward Elimination Untuk Prediksi Pemesanan Kamar Hotel Haditsah Annur; Sudirman Melangi
Jurnal Ilmiah Ilmu Komputer Banthayo Lo Komputer Vol 1 No 1 (2022): Edisi Mei 2022
Publisher : Teknik Informatika Fakultas Ilmu Komputer Universitas Ichsan Gorontalo

Abstract— Hotel is one of the business entities that have the potential to grow and develop which requires a lot of investment that stands both in the middle of the city and in tourist destination areas. Hotel room reservations can be made by customers before they use the hotel via online media, but the problem that occurs is that customers who have made room bookings can cancel orders for various reasons, so that hoteliers feel a loss because the cancellation can provide opportunities for designers to get these customers. This study uses the Naïve Bayes Algorithm as an algorithm that can produce high accuracy and can process a lot of data, and backward selection as the selection of suitable parameter values to improve accuracy. This study uses 10,000 hotel room customer data with accuracy results using the Naïve Bayes Algorithm of 89.67%, and accuracy results using the Naïve Bayes Algorithm and Backward Elemination Feature Selection of 97.83%. Prediction Results Check-Out, Canceled and No-Show.Keywords: Prediction, Booking Room Hotel, Naïve Bayes, Backward Elemination.

Penerapan Metode Simple Moving Averange Dalam Memprediksi Produksi Ikan Nila Abd Rahmat Karim Haba
Jurnal Ilmiah Ilmu Komputer Banthayo Lo Komputer Vol 1 No 1 (2022): Edisi Mei 2022
Publisher : Teknik Informatika Fakultas Ilmu Komputer Universitas Ichsan Gorontalo

Production in each month is uncertain which will have an impact on the price of buying and selling of tilapia and the income of fishing communities in particular. The Department of Maritime Affairs and Fisheries is also still difficult to process production data and lack of information about production so that it cannot predict the production of tilapia in the future, The purpose of this study is to design a prediction system and to determine the error rate in predicting tomato production using the Moving Average method. The result of the error rate in making predictions is 0,36 % by using the MAPE method testing.

Sistem Pengontrol Pintu Otomatis Ruangan Fakultas Ilmu Komputer Berbasis IOT irvan salihi
Jurnal Ilmiah Ilmu Komputer Banthayo Lo Komputer Vol 1 No 1 (2022): Edisi Mei 2022
Publisher : Teknik Informatika Fakultas Ilmu Komputer Universitas Ichsan Gorontalo

Abstract: IoT (Internet of Things) is a technology concept that allows every device to be connected to the internet network. A security system, in general, is to secure an object where the object contains important things security matters such as a house, room, building, or other things. The problem, in general, is that today's doors still utilize conventional locks, which are still less secure because they are easy to break by thieves. The system development method used is a prototype model. The presentation of the hardware aspects to be built will appear to the user quickly. The prototype is evaluated by both parties so that the screening of hardware development needs can be quickly carried out to meet the wishes and needs. This study employs the NodeMcu ESP8266 microcontroller functioned as the main chip that controls all processes occurring. The input from this microcontroller comes from a smartphone that sends values to the NodeMcu ESP8266, which will later be processed. This system has the output of the process carried out by the NodeMcu ESP8266. It is by activating the relay to provide voltage to the solenoid, so the door can be opened and locked. This automatic door control system runs as expected. It is able to open or lock doors that are controlled remotely by the user by giving commands or conditions through the Google Assistant application.

Prediksi Penjualan Tempered Glass Handphone Xiaomi Menggunakan Metode Least Square Fahriansyah Patompo; Irvan Abraham Salihi
Jurnal Ilmiah Ilmu Komputer Banthayo Lo Komputer Vol 1 No 2 (2022): Edisi November (2022)
Publisher : Teknik Informatika Fakultas Ilmu Komputer Universitas Ichsan Gorontalo

ABSTRACT The Amanda Cell store is a Xiaomi handphone tempered glass sales store. So far, the Amanda Cell Store has not been able to predict the ups and downs of Xiaomi cell phone tempered glass sales. This problem affects the ordering process for goods while in fact, some have to wait for sold-out sales. It is a result of the emptiness of tempered glass on other cellphone brands and the cumulation of unsold tempered glass causing some losses. To overcome the problems, an application that can perform a prediction to find out the types of Tempered Glass Xiaomi Mobile is required. The purpose of this study is to find out the results of applying the Least Square Method to predict sales of Tempered Glass for Xiaomi Mobile Phones and to know the level of accuracy of Xiaomi's Tempered Glass sales prediction using the Least Square method. This study results in a conclusion that June 2022 's Prediction is 27,037 and July 2022's prediction is 7,087 Keywords: Sales Prediction, Least Square

Prediksi Harga Cabai Di Kota Gorontalo Menggunakan Metode Weighted Moving Average Siska M. Igirisa; Amiruddin Amiruddin
Jurnal Ilmiah Ilmu Komputer Banthayo Lo Komputer Vol 1 No 2 (2022): Edisi November (2022)
Publisher : Teknik Informatika Fakultas Ilmu Komputer Universitas Ichsan Gorontalo

This study aims to describe the price of chili through technology using the Weighted Moving Average method. Chili is one of the food commodities that can affect the value of inflation. The price of chili that is less erratic and even tends to continue to increase at certain times will have a bad impact on the country and society. The on-demand chili is a type of Gorontalo local chili. Chili is one of the food products that have very fluctuating prices. The Weighted Moving Average method has a good is believed to be good in predicting chili prices at the Gorontalo City Food Service Office. At the accuracy level, the prediction of future chili prices can use the Weighted Moving Average method. It is found that the application of the Weighted Moving Average method in building a system of chili price prediction can be seen through the MAPE results. The lowest error rate indicates the third-month moving average prediction (n=3), namely 26.48%, or the accuracy rate is 73.52%. Thus, the moving average value used in the chili price prediction is an average of 3 months (n=3). Keywords: prediction, chili price, Weighted Moving Average, MAPE

Prediksi Jumlah Produksi Ikan Asin Menggunakan Metode Regresi Linear Sederhana M Rajab Mudatsir; Serwin Serwin
Jurnal Ilmiah Ilmu Komputer Banthayo Lo Komputer Vol 1 No 2 (2022): Edisi November (2022)
Publisher : Teknik Informatika Fakultas Ilmu Komputer Universitas Ichsan Gorontalo

CV. Tirta Tenggiri produces salted fish caught from the sea or local fishermen. The production is to meet the local and outside demands of the Pohuwato District. Even though market demand for salted fish is always available, CV. Tirta Tenggiri is sometimes not able to adjust the production of salted fish with consumer demand. To obtain the information about the total production of salted fish for better development of the company in the future, predictions are made by using the simple linear regression method. The variables used include raw materials and the total demand (X) and land area as a prediction result (Y). The dataset in this study for the prediction of salted fish production takes data from 2019 to 2021. The results show that the number of salted fish to produce in May 2022 obtains a value of y = 168.53 + 24.175. The accuracy with MAPE is 0.8%. Testing the system by using a white box that has the same value of V(G) and CC, namely =2.Keywords: prediction, salted fish production, simple linear regression, White Box and Black Box Testing

Prediksi Permintaan Kantong Darah Berdasarkan Golongan Darah Menggunakan Metode Single Moving Average (SMA) Isran Mertosono; Yasin Mustofa
Jurnal Ilmiah Ilmu Komputer Banthayo Lo Komputer Vol 1 No 2 (2022): Edisi November (2022)
Publisher : Teknik Informatika Fakultas Ilmu Komputer Universitas Ichsan Gorontalo

Blood donation is blood taking process from any volunteer to store in a blood bank for blood transfusion purposes. Blood donation is usually conducted routinely at the Blood Transfusion Unit. The demand for blood is estimated to be higher due to the rapid development of medical science. The rapid development of medical science requires a lot of blood needs, one of which is in organ transplant procedures. The prediction system for blood bag demand can be developed using the Single Moving Average method. The Moving Average method is suitable for long-term data. A single moving average is a forecast for a future period that requires historical data over a certain period. The level of accuracy in predicting blood demand is categorized as quite Good, with an accuracy rate of 75% with MAPE testing of 25%. The accuracy results show that the application designed is feasible to predict the demand for blood bags by adding the amount of data that can optimize the Single Moving Average method to produce more precise and accurate predictions.Keywords: Single Moving Average (SMA), blood demand prediction, MAPE

Penerapan Convolutional Neural Network (CNN) Untuk Klasifikasi Penggunaan Masker Rifdah Rofifah Faruk Abdullah; Maryam Hasan
Jurnal Ilmiah Ilmu Komputer Banthayo Lo Komputer Vol 1 No 2 (2022): Edisi November (2022)
Publisher : Teknik Informatika Fakultas Ilmu Komputer Universitas Ichsan Gorontalo

ABSTRACT RIFDAH ROFIFAH FARUK ABDULLAH. T3117114. APPLICATION OF CONVOLUTIONAL NEURAL NETWORK FOR MASK USE CLASSIFICATION The use of masks is a part of the comprehensive series of prevention and control measures that can limit the spread of certain respiratory viral diseases. Masks can be used both to protect healthy people (worn to protect themselves when in contact with an infected person) and to control the sources of prevention (to be worn by an infected person to prevent further transmission). The problem that often occurs is that many people use masks, but improperly or inappropriately. For instance, the right thing, someone uses a mask to cover the mouth and nostrils. Therefore, an application for the use of computer-assisted mask detection is made. It can detect the use of a person's mask so that the right and wrong use categories are obtained that represent it by capturing it in an image. It is done by using the Convolutional Neural Network method. In the classification stage, the accuracy results are 60- 70%. Keywords: classification, masks use, Convolutional Neural Network

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Asmaul husnah nasrullah

Contact Email
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jurnalbalokfikom@unisan.ac.id

Editorial Address
FIKOM UNISAN Jl. Drs. Achmad Nadjamuddin No.17, Dulalowo Tim., Kota Tengah, Kota Gorontalo Gorontalo 96135

Location
Kota gorontalo,

Gorontalo

INDONESIA

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Home Page

OAI Link

Editorial Team

Contact

Reviewer

Google Scholar

Contact Name Asmaul husnah nasrullah

Contact Email asmaulhusnel@gmail.com

Phone +6282193533471

Journal Mail Official jurnalbalokfikom@unisan.ac.id

Editorial Address FIKOM UNISAN Jl. Drs. Achmad Nadjamuddin No.17, Dulalowo Tim., Kota Tengah, Kota Gorontalo Gorontalo 96135

Location Kota gorontalo, Gorontalo INDONESIA

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

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Abstract

Contact Name
Asmaul husnah nasrullah

Contact Email
asmaulhusnel@gmail.com

Phone
+6282193533471

Journal Mail Official
jurnalbalokfikom@unisan.ac.id

Editorial Address
FIKOM UNISAN Jl. Drs. Achmad Nadjamuddin No.17, Dulalowo Tim., Kota Tengah, Kota Gorontalo Gorontalo 96135

Location
Kota gorontalo,

Gorontalo

INDONESIA