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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 77 Documents
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Penerapan Algoritma Naive Bayes Classifier Untuk Klasifikasi Judul Skripsi Berdasarkan Konsentrasi Dania, Salmin Dania; Rezqiwati Ishak; Hastuti Dalai
Jurnal Ilmiah Ilmu Komputer Banthayo Lo Komputer Vol 3 No 1 (2024): Mei 2024
Publisher : Teknik Informatika Fakultas Ilmu Komputer Universitas Ichsan Gorontalo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37195/balok.v3i1.741

Abstract

Abstract The application of the Naive Bayes Classifier algorithm to classify thesis titles based on concentration is research that aims to develop a classification system for thesis titles based on concentration using the Naive Bayes Classifier algorithm. This classification system helps students determine the thesis concentration that suits their interests and abilities. This research uses thesis title data from the Informatics Engineering Department, Faculty of Computer Science, Universitas Ichsan Gorontal.  It employs data attributes in the form of thesis title and concentration. The data are cleaned and preprocessed before being used for algorithm training and testing. The implementation of the Naive Bayes Classifier algorithm is through the Python programming language. The research results show that the Naive Bayes Classifier algorithm can classify thesis titles with an accuracy of 80% in the model evaluation process using the Confusion Matrix. The results indicate that the Naive Bayes Classifier algorithm is an effective alternative for classifying thesis titles based on concentration. Keywords: classification, thesis title, concentration, Python, Confusion Matrix, Naive Bayes Classifier
Aplikasi Pencarian Rute Terdekat Tempat Dokter Praktek Fasilitas Bpjs Mengunakan Metode Djikstra Luviani, Luviani; Apriyanto Alhamad; Serwin; Mohamad Efendi Lasulika
Jurnal Ilmiah Ilmu Komputer Banthayo Lo Komputer Vol 3 No 1 (2024): Mei 2024
Publisher : Teknik Informatika Fakultas Ilmu Komputer Universitas Ichsan Gorontalo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37195/balok.v3i1.752

Abstract

Abstract- Searching for the fastest route while traveling is necessary besides finding the destination. The reason for finding the fastest route is to streamline the trip and save travel costs. Another problem in making an effective trip is a city search carried out by someone who knows, someone who spreads hospitals, health centers, clinics, and pharmacies that serve the Social Insurance Administration Organization in Gorontalo City/Regency, and knows several nearby places. In the implementation of the Social Insurance Administration Organization in Gorontalo City/Regency branch, there are still obstacles faced by the community. The lack of information regarding the distribution of health facilities and information makes people confused when choosing and locating which health facility they will visit for treatment using a card from the Social Insurance Administration Organization. By designing this information system, people can map the health facilities that serve the Social Insurance Administration Organization. The designation of this system uses the DJikstra algorithm to find the fastest route to the health facilities of Social Insurance Administration Organization to obtain a research result of a system that can find the fastest route to the health facilities of the Social Insurance Administration Organization. It is hoped that it can help the public in getting the fastest way to health facilities of the Social Insurance Administration Organization in Gorontalo City/Regency. Keywords: fastest route search system, health facilities, Social Insurance Administration Organization, Djikstra algorithm
Sistem Prediksi Jumlah Wisatawan Di Lambangan Pauno Desa Kendek Menggunakan Metode Support Vector Machine Hermawan, Tamsil; Yasin Aril Mustofa; Kartika Chandra Pelangi
Jurnal Ilmiah Ilmu Komputer Banthayo Lo Komputer Vol 3 No 1 (2024): Mei 2024
Publisher : Teknik Informatika Fakultas Ilmu Komputer Universitas Ichsan Gorontalo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37195/balok.v3i1.772

Abstract

Abstrac- Banggai Laut is regency rich in agricultural products and marine beauty.  One of the very famous tourist attractions in Banggai Laut is Lambangan Pauno Beach. Lambangan Pauno Beach is one of the beachside tourist attractions at Kendek in Banggai Utara Subdistrict, which is 10 km from Banggai City. Lambangan Pauno is a very representative tourist attraction because it can be reached by car or motorbike. It extends for about 200 meters with clean white sand, coral rocks, cliffs, and Ketapang trees, fencing on the left and right ends of the beach, making the view beautiful.  Lambangan Pauno has become a tourist spot in Banggai Laut often visited by tourists. Tourist visits have increased drastically due to many factors, including competitive travel costs and the number of adequate travel routes. It is supported by facilities that make visitors comfortable and guarantee security. Based on the research results, it is found that the research categorization produced by SVM is very good. It is proven by the test results which produce an accuracy rate of 90%. Keywords: prediction system, number of tourists, SVM
Rancang Bangun Aplikasi Pencarian Toko Oleh-Oleh Terdekat Berbasis Android Menggunakan Algoritma Floyd Warshall Mahmud, Mohamad An Nafli; Maryam Hasan; Warid Yunus; Syarifah Fitrah Ramadani
Jurnal Ilmiah Ilmu Komputer Banthayo Lo Komputer Vol 3 No 1 (2024): Mei 2024
Publisher : Teknik Informatika Fakultas Ilmu Komputer Universitas Ichsan Gorontalo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37195/balok.v3i1.842

Abstract

Abstract- Information technology develops rapidly. The effect can be seen through the increasing use of mobile devices in supporting daily activities in carrying out various activities. With the development of mobile technology, mobile devices offer a variety of advanced computing capabilities known as smartphones. The role of smartphones is to have a good impact if the embedded applications are equipped with good service quality to support users to do or to search for a place or location. Through supporting applications, users can use it more easily, more economically, and more efficiently.  In addition, users can also find out the current developing technology model. The development of souvenir centers depends on tourism industry products regarding the tourism concept and convenience in tourism visits. The tourism sector is also very influential in the socio-cultural field, and of course, in the economic field because it can open up new business opportunities. The design of the nearest souvenir shop search application helps in finding the closest route to the souvenir shop by applying the Floyd Warshall algorithm.  The research results produce a system that can find the nearest souvenir shop and is expected to help the community in finding the nearest souvenir shop in Gorontalo City.   Keywords: nearest location point search application, souvenir shop, Floyd Warshall algorithm
Penerapan Metode Regresi Linier Sederhana Untuk Prediksi Jumlah Persediaan Pestisida Annur, Haditsah; Sudirman Melangi; Andri Setiawan
Jurnal Ilmiah Ilmu Komputer Banthayo Lo Komputer Vol 3 No 1 (2024): Mei 2024
Publisher : Teknik Informatika Fakultas Ilmu Komputer Universitas Ichsan Gorontalo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37195/balok.v3i1.863

Abstract

Abstract - Forecasting is needed to make things easier for CV. Anak Tani predict how much Roger's pesticide supply will be needed in the following month, so that they do not experience the delivery of the amount of Roger's pesticide supply in the following month. The simple linear regression method is a forecasting method that uses two factors so that it can determine maximum results. The problem faced is that there is often a buildup of pesticide 1 liter Roger 480SL inventory CV. Anak Tani. The aim is to find out the results of applying a simple linear regression method to predict the amount of inventory of 1 Liter Roger 480SL pesticide located at CV. Anak Tani. The results obtained by the mean absoluter percentage error (MAPE) were tested with the 2022 data obtained, namely 7.80%, so it can be concluded that this system is effective to use.Key words: Forecasting, Inventory, Pesticide Roger 480sl 1 Liter, Mape
Analisis Sentimen Objek Wisata Di Kabupaten Banggai Laut Menggunakan Metode Naive Bayes Fatmawati; Husdi; Kartika Chandra Pelangi; Rofiq Harun
Jurnal Ilmiah Ilmu Komputer Banthayo Lo Komputer Vol 3 No 1 (2024): Mei 2024
Publisher : Teknik Informatika Fakultas Ilmu Komputer Universitas Ichsan Gorontalo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37195/balok.v3i1.882

Abstract

Abstract - are carried out and a place to have fun for a long time to achieve satisfaction, enjoy good service, and bring home beautiful memories of the tourist attractions. In Banggai Laut Regency, many tourist attractions are attractive for tourism activities. The number of visitors increases every year. The discussion about tourist attractions in Banggai Laut Regency is interesting to the local community. There are a lot of public comments about the tourist attractions in Banggai Laut. The number of opinions about tourist attractions in Banggai Laut makes it difficult to determine the sentiment of the comments manually. Therefore, sentiment analysis is required to classify the comments and whether or not they tend to be positive. In this case, this study employs the Naïve Bayes algorithm to classify the problems. Based on the sentiment analysis, it is proven that the Naïve Bayes method or algorithm can classify comments with good results. The accuracy generated in this sentiment analysis is 87%, with a division of training data of 90% and test data of 10%. The acquisition of these accuracy results indicates that the proposed algorithm has a Fairly Good diagnostic level. Keywords: sentiment analysis, tourist attraction, Naïve Bayes
Rancang Bangun Game Edukasi Pembelajaran Bahasa Daerah Bolaang Mongondow Berbasis Android Sugeha, Moh. Sidik; zohrahayaty; Yasin Aril Mustofa; Abd Rahmat karim Haba
Jurnal Ilmiah Ilmu Komputer Banthayo Lo Komputer Vol 3 No 1 (2024): Mei 2024
Publisher : Teknik Informatika Fakultas Ilmu Komputer Universitas Ichsan Gorontalo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37195/balok.v3i1.883

Abstract

Abstract - Local languages are often endangered due to lack of use and maintenance. By learning local languages from an early age, students can maintain and develop the local language of Bolaang Mongondow to obtain the results of making an interesting educational game of the local language of Bolaang Mongondow in increasing elementary school students' interest in learning. Students often feel bored and uninterested when learning local languages due to the lack of interesting and interactive learning methods. With the existence of an interesting and interactive local language learning of Bolaang Mongondow, this educational game can be an effective tool to increase student interest in learning local languages. The educational game design has two main menus, namely the learning menu and the playing menu. In the learning feature, players can learn the vocabulary contained in the Bolaang Mongondow language educational game. While in the playing menu, players will choose the game level in which at each level, the player will play by dragging letters to the letter box until they are arranged correctly. The results of black box testing show that the Bolaang Mongondow Language educational game can run well without any errors in the features contained in the game. The results obtained in user acceptance testing show that the Bolaang Mongondow Language educational game can be accepted by students with a total score of 95% which can be categorized as Very Feasible. Keywords: Local Language of Bolaang Mongondow, Educational Game, Android
Analisis Perbandingan Performa Jaringan Wlan Menggunakan Metode RMA Dan RSSI Pada Indoor Dan Outdoor: Analisis Perbandingan Performa Jaringan Wlan Menggunakan Metode RMA Dan RSSI Pada Indoor Dan Outdoor Febrilianty Umasugi1; Muis Nanja; Mohamad Efendi Lasulika
Jurnal Ilmiah Ilmu Komputer Banthayo Lo Komputer Vol 3 No 2 (2024): November 2024
Publisher : Teknik Informatika Fakultas Ilmu Komputer Universitas Ichsan Gorontalo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37195/balok.v3i2.1192

Abstract

Dalam beberapa tahun terakhir, penggunaan jaringan wireless lan telah mengalami pertumbuhan pesat peningkatan penggunaan ini menyebabakan pertumbuhan hotspot ditempat umum seperti tempat kerja dan lembaga pendidikan lainnya, hotspot memungkinkan masyarakat untuk mengakses internet tanpa perlu menggunakan kabel diarea hotspot dimana pun mereka berada. Keterbatasan jarak sinyal nirkabel disebabkan oleh banyaknya hambatan di sekitarnya, gangguan sinyal, serta kekuatan transmiternya yang terbatas. Hambatan seperti dinding tebal adalah salah satu contoh yang tidak memungkinkan terjadi, terutama ketika beberapa perangkat menggunakan frekuensi yang sama dalam saluran yang bersamaan. Penelitian ini bertujuan untuk memperoleh hasil pengukuran kualitas layanan jaringan menggunakan metode RMA dan RSSI pada indoor dan outdoor. Salah satu metode yang bisa digunakan pada penelitian analisis perbandingan pefroma WLAN yaitu RMA (Realibility, Mantainability and Availability) dan RSSI (Received Signal Strength Indicator). Pada proses ini pra pemrosesan data dilakukan dengan menginstal software PRTG dan Wifi Analyzer yang biasa digunakan untuk kebutuhan dan analisis. Model dilatih pada dataset dengan berbagai fitur dan hasilnya menunjukkan akurasi yang tinggi sebesar 99.54%, yaitu berupa proses menganalisis sekumpulan data untuk meringkas karateristik utamanya agar pengguna lebih memahami data set yang akan digunakan.RMA (Realibility, Mantainability and Availability) dan RSSI (Received Signal Strength Indicator) keduanya efektif dalam mengevaluasi kekuatan sinyal dan kualitas jaringan. RSSI memberikan gambaran yang lebih cepat dan sederhana tentang kekuatan sinyal pada suatu titik tertentu, sementara RMA menyediakan rata-rata kekuatan sinyal yang bisa lebih representatif untuk analisis jangka panjang. Kata Kunci: WLAN, RSSI, RMA, kualitas layanan, indoor, outdoor, jaringan nirkabel
Implementasi Metode XGBoost Dalam Seleksi Atribut Pada Algoritma K-Means Untuk Clustering Masyarakat Penerima Bantuan Langsung Tunai Amiruddin; Maryam Hasan; Muhammad Erdiansyah
Jurnal Ilmiah Ilmu Komputer Banthayo Lo Komputer Vol 3 No 2 (2024): November 2024
Publisher : Teknik Informatika Fakultas Ilmu Komputer Universitas Ichsan Gorontalo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37195/balok.v3i2.1193

Abstract

Penelitian ini mengkaji implementasi metode XGBoost dalam seleksi atribut pada algoritma K-Means untuk clustering masyarakat penerima Bantuan Langsung Tunai (BLT). Dalam konteks ini, 14 atribut awal digunakan untuk menggambarkan karakteristik rumah tangga penerima BLT: Luas Lantai, Lantai Rumah, Dinding Rumah, MCK, Sumber Listrik, Sumber Air, Bahan Bakar, Konsumsi, Pakaian, Tidak Sanggup Berobat, Sumber Penghasilan KK, Penghasilan KK, Pendidikan KK, dan Tabungan. Metode XGBoost diaplikasikan untuk menyeleksi atribut yang paling relevan dalam menentukan kelompok penerima BLT. Dari hasil seleksi, ditemukan tiga atribut penting yaitu Luas Lantai, Lantai Rumah, dan Penghasilan KK. Implementasi K-Means clustering dilakukan dua kali, pertama menggunakan seluruh atribut dan kedua menggunakan tiga atribut penting yang telah diseleksi oleh XGBoost. Analisis hasil clustering menunjukkan bahwa sebelum seleksi atribut, nilai Davies-Bouldin Index (DBI) sebesar 1.325. Setelah seleksi atribut penting, nilai DBI menurun menjadi 0.800. Penurunan nilai DBI sebesar 0.525 ini mengindikasikan bahwa hasil clustering menjadi lebih optimal setelah penerapan XGBoost. Dengan demikian, penelitian ini menyimpulkan bahwa penggunaan XGBoost untuk seleksi atribut dapat meningkatkan kinerja K-Means dalam clustering masyarakat penerima BLT, menghasilkan grup yang lebih jelas dan homogen. Temuan ini memiliki implikasi penting untuk meningkatkan efisiensi dan efektivitas program penyaluran BLT dengan mendasarkan keputusan pada atribut yang paling berpengaruh. Kata Kunci: XGBoost, K-Menas, Clustering, Seleksi Atribut, Bantuan Langsung Tunai
Klasifikasi Kondisi Ekonomi Masyarakat Menggunakan Metode K-Nearest Neighbor Annahl Riadi; Yulianty Lasena; Sinta Suleman; Olhan Nurani
Jurnal Ilmiah Ilmu Komputer Banthayo Lo Komputer Vol 3 No 2 (2024): November 2024
Publisher : Teknik Informatika Fakultas Ilmu Komputer Universitas Ichsan Gorontalo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37195/balok.v3i2.1195

Abstract

Perekonomian yang sangat mungkin bahwa masalah ekonomi akan mengalami perubahan dan perkembangan secara terus menerus dari sebagian masyarakat. Salah satu masalah yang sering dihadapi oleh masyarakat adalah ketimpangan ekonomi, ini dapat menyebabkan perbedaan pendapatan yang signifikan antara kelompok sosial yang berbeda, kemudian berdampak pada akses layanan penting seperti pendidikan, rumah yang layak, dan perawatan kesehatan. Meningkatnya pertumbuhan penduduk di Desa Moutong saat ini menyebabkan pemerintah desa merasa kesulitan dalam melakukan pendataan walaupun telah disediakan sarana dan prasarana tetepi sarana berupa komputer yang diberikan pemerintah pusat terbilang kurang, oleh sebab itu pelayanan pada pendataan penduduk saat ini masih dilakukan secara manual ditambah dengan tidak adanya aplikasi pendukung yang mampu mengelompokan data sesuai dengan kriteria yang telah ditentukan. Oleh karena itu, diperlukan pengklasifikasian yang dapat mengklasifikasi kondisi ekonomi masyarakat. Dalam hal ini, penulis menggunakan algoritma K-Nearest Neighbor untuk mengklasifikasi permasalahan tersebut. Dapat diketahui hasil penerapan metode KNN dalam membangun sistem klasifikasi kondisi ekonomi masyarakat dengan mendapatkan hasil akurasi sebesar 94% untuk nilai K = 3. Hasil akurasi tersebut dapat di kategorikan bahwa aplikasi yang dibuat layak untuk digunakan dalam klasifikasi kondisi ekonomi masyarakat. Kata Kunci: Klasifikasi, Kondisi Ekonomi, K-Nearest Neighbor

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