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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 4 No 2 (2025)" : 10 Documents clear
KLASIFIKASI MUTU GREENBEAN COFFEE MENGGUNAKAN METODE CONVOLUTIONAL NEURAL NETWORK Muhamad, Azhar; Idris, Irma Surya Kumala; Andi Bode
Jurnal Ilmiah Ilmu Komputer Banthayo Lo Komputer Vol 4 No 2 (2025)
Publisher : Teknik Informatika Fakultas Ilmu Komputer Universitas Ichsan Gorontalo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37195/balok.v4i2.620

Abstract

ABSTRACT AZHAR MUHAMAD. T3118209. QUALITY CLASSIFICATION OF GREEN BEAN COFFEE USING CONVOLUTIONAL NEURAL NETWORK METHOD Coffee is one of Indonesia's foreign exchange sources and plays an important role in the development of the plantation industry. In the commercial process, a product must have advantages, especially in terms of quality to survive in world market competition. The Convolutional Neural Network (CNN) method is a Deep Learning method that can identify and classify an object in a digital image. The training process is carried out by looking for a model structure that matches the training data and validation data so that overfitting does not occur in the CNN network. The experimental results in this study indicate that the Convolutional Neural Network method can classify the quality of green bean coffee with an accuracy rate of 90%, recall of 92%, precision of 86%, and F1-Score of 88% from 30 images by taking 15 sample images from each class using confusion matrix testing.
Klasifikasi Teks PornoGrafi Berbasis Machine Learning Menggunakan Metode Naive Bayes Tambung, Samsudin; Pelangi, Kartika Chandra; Nanja, Muis; Malago, Yusrianto
Jurnal Ilmiah Ilmu Komputer Banthayo Lo Komputer Vol 4 No 2 (2025)
Publisher : Teknik Informatika Fakultas Ilmu Komputer Universitas Ichsan Gorontalo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37195/balok.v4i2.726

Abstract

Abstract- The information via the internet spreads rapidly. Not only does it have a positive impact, but also a negative impact, one of which is the ease of finding information that contains negative things such as pornography. That problem can be overcome by research on machine learning-based classification of pornographic texts using the Naive Bayes method. Naïve Bayes is a probabilistic classifier that calculates a set of probabilities based on the number of frequencies and combinations of each value from a given dataset. Through Naïve Bayes, it is expected that there is a possibility to classify the text of story titles containing pornography downloaded via a web page. The type of data used is pornographic story titles downloaded via porn sites. There are 100 story title datasets employed. The classification stages using the Naive Bayes Classifier Algorithm include Preprocessing, TF-IDF weighting, Naive Bayes classification, and testing using Classification Accuracy, Precision, and Recall. The test results using the Data Splitting method are examined into five comparisons with TF-IDF values with each level of Accuracy, Precision, and Recall up to 76.44%, 82.43%, and 73.43%. The characterization without using TF-IDF, respectively, obtained Accuracy, Precision, and Recall values up to 97%, 96%, and 93%. The result is that the Naïve Bayes technique without TF-IDF creates a more favorable execution than TF-IDF. Keywords: pornographic story titles, classification, Naive Bayes
Game Edukasi Menyusun Nama Hewan Sebagai Media Pembelajaran Anak-Anak Menggunakan Construct 2 Pontoh, Iftahul Farhan; Mustofa, Yasin Aril; Lamasigi, Zulfrianto Yusrin
Jurnal Ilmiah Ilmu Komputer Banthayo Lo Komputer Vol 4 No 2 (2025)
Publisher : Teknik Informatika Fakultas Ilmu Komputer Universitas Ichsan Gorontalo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37195/balok.v4i2.900

Abstract

This research aims to develop an educational game to provide alternative learning and knowledge about animals and their types. The problem faced is the lack of interest and understanding of children's conventional learning materials that tend to be monotonous and non-interactive, which often results in decreased motivation to learn at home and school. To overcome this problem, an educational game application using Construct 2 software. The stages include system testing, development, construction, design, and analysis. This research takes place at SD Negeri 03 Kabila, engaging 30 students as respondents. The assessment of the game is carried out through a questionnaire analyzed descriptively and qualitatively to assess the feasibility of the application. The test results show that the application is free from component errors based on Black Box testing and is well received by users based on User Acceptance testing with a total score of 86.4%, categorized as very good. However, the random system used to generate the questions reappears which can reduce the variety and effectiveness of learning. The improvements to this system are proposed to enhance the learning quality. The development of this educational game application can be an effective solution to increase children's interest and understanding in learning while providing a fun learning experience while providing a fun and interactive learning experience.Keywords: educational game, Construct 2, animal recognition
PENENTUAN PRIORITAS PASIEN BERDASARKAN RIWAYAT PENYAKIT DENGAN MENGGUNAKAN METODE AHP DI PUSKESMAS BANGGAI LAUT (Studi Kasus: Uptd Puskesmas Banggai) Dita Andriani; Salihi, Irvan Abraham; Melangi, Sudirman
Jurnal Ilmiah Ilmu Komputer Banthayo Lo Komputer Vol 4 No 2 (2025)
Publisher : Teknik Informatika Fakultas Ilmu Komputer Universitas Ichsan Gorontalo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37195/balok.v4i2.929

Abstract

Abstract Disease history-based patient prioritization is a vital step in health care, especially in situations of limited medical resources. The Analytical Hierarchy Process (AHP) method is used to calculate the level of importance of weighting all criteria and alternatives that produce appropriate and relevant reference values for patient prioritization. The criteria consideration covers blood pressure, heart rate, respiratory frequency, and temperature. Based on the calculation of weights from the AHP method, patients with the highest weights are recommended as prioritized patients. The results of this study indicate that medical history-based patient prioritization using the Analytical Hierarchy Process is implementable. The implementation result of the Analytical Hierarchy Process is proven following the test line conducted with Blackbox And Whitebox CC= 4. The disease history-based patient prioritization can help the Local Technical Implementation Unit of Banggai Health Center. Keywords: patient prioritization, disease history, AHP method
PREDIKSI JUMLAH PRODUKSI KOPRA MENGGUNAKAN METODE REGRESI LINEAR BERGANDA PADA UMKM MANDIRI DESA LION: Indonesia ABDUL_MUHRIZAL_ZULKIFLI_H_MARADA; Haditsah Annur; Yunus, Warid; Panna, sudirman S.
Jurnal Ilmiah Ilmu Komputer Banthayo Lo Komputer Vol 4 No 2 (2025)
Publisher : Teknik Informatika Fakultas Ilmu Komputer Universitas Ichsan Gorontalo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37195/balok.v4i2.958

Abstract

Abstract This study aims to apply multiple linear regression methods in predicting copra total production at CV. Lion Utama. The results of system testing show that the value of V(G) = CC = 2 indicates that the system meets the requirements of programming logic and is not complex. Black-Box Testing also shows that the system is free of component errors. The prediction of copra total production for January 2022 using the multiple linear regression method gives valid results. The accuracy of this prediction is measured by Mean Absolute Percentage Error (MAPE), resulting in a value of 77.27%, indicating a Fairly High level of accuracy in copra production estimation. Keywords: production prediction, copra, multiple linear regression, CV. Lion Utama, MAPE
SISTEM INFORMASI GEOGRAFIS DALAM PENDATAAN PERTUMBUHAN PENDUDUK DIWILAYAH KECAMATAN KOTA TIMUR KOTA GORONTALO. Djauhari, Mahbub; Serwin; Harun, Rofiq
Jurnal Ilmiah Ilmu Komputer Banthayo Lo Komputer Vol 4 No 2 (2025)
Publisher : Teknik Informatika Fakultas Ilmu Komputer Universitas Ichsan Gorontalo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37195/balok.v4i2.1053

Abstract

Abstract - Population growth data collection in Kota Timur Subdistrict has not been well organized. It impacts time inefficiency with limited data access by the community. This problem encourages the researcher to design a website-based Geographic Information System (GIS) application to facilitate the government's decision-making for appropriate development. This research aims to apply e-government technology in developing a GIS application to allow the urban villages and the community to access population growth data. The research result is a website application for a Geographic Information System in population growth data collection. It is designed as efficiently as possible so that it is easy for each neighborhood group head to input population growth data. It also makes it easy for the community to access population growth data in each urban village. Keywords : population growth data collection, GIS, decision making, e-government, data input efficiency
APLIKASI ENKRIPSI DAN DEKRIPSI DATA GAMBAR MENGGUNAKAN ALGORITMA ADVANCED ENCRYPTION STANDARD Rabiu, Muh Fajril; husdi; Dalai, Hastuti
Jurnal Ilmiah Ilmu Komputer Banthayo Lo Komputer Vol 4 No 2 (2025)
Publisher : Teknik Informatika Fakultas Ilmu Komputer Universitas Ichsan Gorontalo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37195/balok.v4i2.1135

Abstract

Digital data security is becoming increasingly important in today's information age, including image data protection. This research aims to develop an image data encryption and decryption application using the Advanced Encryption Standard (AES) algorithm to improve data security. To further strengthen the security of private keys, the RSA algorithm is used in securing the private keys used in the encryption and decryption process. The application of the AES algorithm on image data shows that this method effectively maintains data confidentiality and integrity. The research results confirm that the AES algorithm can be effectively applied for image data security. The RSA algorithm used to secure the private key is performed to strengthen the security, making it more difficult for cryptanalysts to obtain the private key from the AES algorithm used. Application testing is conducted using White-Box and Base Path methods which resulted in a value of V(G) = CC = 6, indicating well-managed complexity. In addition, Black-Box testing shows the correctness of the application logic, proving that the logic flowchart used in the application is correct and reliable. It means that the application developed can be operated effectively and, in practice, is feasible to protect image data from security threats.
Klasifikasi Citra Penyakit Gigi Menggunakan Metode Gabor Filter Dan K-Nearest Neighbor Yulianty Lasena; Citra Yustitya Gobel; Fitria Anggraini
Jurnal Ilmiah Ilmu Komputer Banthayo Lo Komputer Vol 4 No 2 (2025)
Publisher : Teknik Informatika Fakultas Ilmu Komputer Universitas Ichsan Gorontalo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37195/balok.v4i2.1194

Abstract

Penelitian ini bertujuan untuk mengklasifikasikan citra penyakit gigi menggunakan metode K-Nearest Neighbor(K-NN), dengan fokus pada peningkatan akurasi klasifikasi. Hasil menunjukan bahwa meskipun penerapanK-NN menghasilkan akurasi yang meningkat dengan nilai recall tertinggi , nilai precision belum tercapai tingkat optimal. Meskipun model mencapai akurasi tertinggi pada k=3 dengan 60%, nilai precision hnya 55%, menyoroti kebutuhan untuk meningktkan kinerja keseluruhan metode. Penelitian ini memberikan dasar untuk penelitian lebih lanjut dalam pengembangan teknik klasifikasi citra untuk diagnosis penyakit gigi dengan lebih akurat Kata Kunci: Klasifikasi citra, Penyakit gigi, Gabor filter, K-Nearest Neighbor, Akurasi
Perancangan Film Dokumenter Tarian Saronde Sebagai Media Informasi Pelestarian Budaya Lokal Umar, Firmansyah Mahfut; Almer Hassan Ali; Hunowu, Risti Puspita Sari
Jurnal Ilmiah Ilmu Komputer Banthayo Lo Komputer Vol 4 No 2 (2025)
Publisher : Teknik Informatika Fakultas Ilmu Komputer Universitas Ichsan Gorontalo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37195/balok.v4i2.1275

Abstract

Film dokumenter merupakan media yang efektif dalam menggali, memahami, dan menyampaikan cerita budaya. Penelitian ini bertujuan merancang film dokumenter yang menggambarkan tarian Saronde, warisan budaya Gorontalo, dengan kedalaman dan konteks yang sebenarnya. Melalui pendekatan visual dan naratif, film ini diharapkan dapat meningkatkan kesadaran dan apresiasi masyarakat terhadap pentingnya melestarikan tarian Saronde.Penelitian menggunakan metode kualitatif yang melibatkan observasi, wawancara, dan analisis mendalam. Lokasi pengambilan gambar dilakukan di rumah adat Dulohupa dan Banthayo di Gorontalo, dengan pemeran utama adalah penari Saronde. Proses perancangan film mencakup pemahaman mendalam tentang sejarah, makna, dan peran tarian ini, serta aspek teknis seperti sinematografi, editing, dan penggunaan suara.Hasil penelitian menunjukkan bahwa film dokumenter dapat menjadi alat yang kuat dalam pelestarian budaya lokal. Film ini tidak hanya menyampaikan informasi komprehensif mengenai tarian Saronde tetapi juga mempromosikannya sebagai atraksi pariwisata. Dengan memperkenalkan keindahan tarian ini kepada masyarakat luas, film diharapkan dapat mendorong wisatawan untuk datang dan mengalami budaya Gorontalo secara langsung. Selain itu, film ini juga berpotensi menginspirasi generasi muda untuk memahami dan memelihara warisan budaya mereka, memastikan nilai-nilai budaya lokal terus diteruskan dan dihargai oleh generasi yang akan datang.
Pengembangan Website Pendaftaran Online Sekolah Menengah Pertama Botupingge Berbasis User-Friendly suleman, sinta; Harun, Sulastri
Jurnal Ilmiah Ilmu Komputer Banthayo Lo Komputer Vol 4 No 2 (2025)
Publisher : Teknik Informatika Fakultas Ilmu Komputer Universitas Ichsan Gorontalo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37195/balok.v4i2.1292

Abstract

The current new student registration system still relies heavily on traditional methods, such as collecting physical files, often causing obstacles such as long queues, recording errors, and potential data loss. This study aims to develop an online registration website for Botupingge Middle School that is user-friendly and accessible to various groups. This application is designed to manage registration data in a computerized manner, eliminating the constraints of manual systems that are often slow and prone to errors. This application also provides long-term benefits in storing historical data of applicants that can be used for evaluation and strategic planning in the future. The development of this application is an innovative step to support more modern and professional education governance.

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