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All Journal Jurnal Edukasi dan Penelitian Informatika (JEPIN) Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) JSAI (Journal Scientific and Applied Informatics) Jurnal Nasional Cosphi Jurnal Ilmiah Ilmu Komputer Banthayo Lo Komputer (BALOK)
Sudirman S. Panna
Universitas Ichsan Gorontalo
Computer Science & IT Control & Systems Engineering Education Electrical & Electronics Engineering Energy Engineering

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Journal : Jurnal Ilmiah Ilmu Komputer Banthayo Lo Komputer (BALOK)

 1 
Analisis Sentimen Opini Publik Pengguna Twitter Terhadap Kenaikan Harga BBM Menggunakan Algoritma Naïve Bayes Rahmad Harun; Rezqiwati Ishak; Sudirman Panna
Jurnal Ilmiah Ilmu Komputer Banthayo Lo Komputer Vol 2 No 1 (2023): Edisi Mei 2023
Publisher : Teknik Informatika Fakultas Ilmu Komputer Universitas Ichsan Gorontalo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37195/balok.v2i1.414

Abstract

Fuel oil is needed as a support in life. Local fuel must be adjusted to international fuel prices so that the country's fiscal sustainability remains safe and not threatened. This price adjustment is carried out by the government as an effort to optimize the use and supply of fuel and to overcome the occurrence of a fuel crisis in the future. On the Twitter platform, the discussion about the fuel price increase even has become a trending topic due to the number of tweets discussing the issue. The number of opinions about the fuel price increase makes it difficult to determine the sentiment of the tweet manually. Therefore, sentiment analysis is needed that can classify the tweet whether it tends to be positive or negative. In this case, this analysis is mediated by the Naïve Bayes algorithm to classify the problem. Based on the sentiment analysis made, it can be seen that the Naïve Bayes method or algorithm can analyze tweets with good results. The accuracy generated in this sentiment analysis is 85% with a division of 80% training data and 20% test data. With the acquisition of these accuracy results, it can be said that the proposed algorithm has a fairly good diagnostic level. Keywords: sentiment analysis, Twitter, fuel oil, Naïve Bayes
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
Mobile Administrasi Desa Di Kantor Desa Kuala Utara Berbasis Android Lepi, Andriyanto; Abd. Rahmat Karim Haba; Husdi; Sudirman S. Panna
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.v3i1.731

Abstract

Abstract - The Kuala Utara Village Government still uses a manual system in the processing population administrations where administrative activities still require a long process for the people. On the other side, the village office is quite far away. So, many administrative activities are piled up so that people wait a long time for the process. An android-based village administration mobile system is required to improve the quality of administrative services to the community, especially in population administration processing activities. This research aims to simplify and speed up population administration activities by implementing an Android-based Village Administration Mobile application. In this case, it is to assist the needs of the community, in terms of administrative management using an Android smartphone. The results of this research are that this system helps the public in more effective and efficient administrative service activities and helps the public in making independent service requests by providing security facilities for users when starting this system.   Keywords: Village Administration Mobile, Android, Community Access Ease
Co-Authors Abd. Rahmat Karim Haba Apriyanto Alhamad Betrisandi, Betrisandi Hamka Witri Hariati Husain Husdi Kartika Chandra Pelangi lahabu, sintiya Lepi, Andriyanto Qurnia Shandy Rahmad Harun Rezqiwati Ishak Rofiq Harun salim, Muh Yusrianto Malago