Articles
<![CDATA[indonesia Clustering Daerah Penyebaran Covid-19 Di Indonesia Menggunakan Algoritma K-Medoids ]]>
<![CDATA[Husdi]]>;
<![CDATA[Muis Nanja]]>
<![CDATA[ Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi) Vol 6 No 4 (2022): OCTOBER-DECEMBER 2022 ]]>
Publisher : <![CDATA[KITA Institute ]]>
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DOI: 10.35870/jtik.v6i4.608
<![CDATA[The year 2019 was the beginning of the outbreak of a disease that hit the world today called the Covid-19 Virus. The virus originated from Wuhan and is now designated as a pandemic. The main problem raised in this study is how to determine the spread of covid-19 in Indonesia based on provincial data. Because there are several areas that have high prevalence cases, it is necessary to improve health services and protocols in these areas compared to areas with rather low distribution areas. So that in this study a clustering method is needed to be able to classify data on the spread of COVID-19 in Indonesia. The algorithm used for clustering is the K-Medoids algorithm. Based on the results of the research conducted, the K-Medoids Method is able to group the Covid 19 Spreading Areas in Indonesia.]]>
<![CDATA[Text Mining Analysis untuk Identifikasi Artikel Hoax Menggunakan Algoritma Cosine Similarity ]]>
<![CDATA[Yulianty Lasena]]>;
<![CDATA[Husdi Husdi]]>;
<![CDATA[Maryam Hasan]]>
<![CDATA[ Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi) Vol 4 No 2 (2020): JULY-DECEMBER 2020 ]]>
Publisher : <![CDATA[KITA Institute ]]>
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DOI: 10.35870/jtik.v4i2.149
<![CDATA[The impact of significant technological developments in everyday life starts from simple activities to activities that require a high level of precision. The development of information technology also contributes to the dissemination of news. In Indonesia, Information Technology is also developing rapidly where internet users currently number 132.7 million or 52% of Indonesia's population. The exchange of information between people is a positive thing, but its dissemination through social media is not all facts. In a number of cases that have occurred, for example the spread of news that is not factual is often called a hoax. The latest technology that can help overcome this, one of which is the technology known as Text Mining. This is used to solve problems faced by internet users with fake information (hoax).]]>
<![CDATA[Penentuan Pola Penjualan Obat Menggunakan Algoritma Apriori ]]>
<![CDATA[Aldo Aprilio Arifin]]>;
<![CDATA[Husdi]]>;
<![CDATA[Yusrianto Malago]]>
<![CDATA[ Jurnal Ilmiah Ilmu Komputer Banthayo Lo Komputer Vol 2 No 1 (2023): Edisi Mei 2023 ]]>
Publisher : <![CDATA[Teknik Informatika Fakultas Ilmu Komputer Universitas Ichsan Gorontalo ]]>
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DOI: 10.37195/balok.v2i1.544
<![CDATA[Piramid Mulia Pharmacy is a health facility where a place to sell drugs and concoct drugs based on a doctor's prescription, as well as trade medical goods. Piramid Mulia Pharmacy is still difficult in analyzing drug sales, because there is no system to analyze. The results showed that the Drug Sales Pattern Determination System Using the Apriori Algorithm has met the requirements of programming logic and is not complex, where CC = V (G) = 4 based on White Box testing, then the system has been free from various component errors based on Black Box testing. Thus, an efficient Drug Sales Pattern Determination System using the Apriori Algorithm is obtained so that it can be implemented.]]>
<![CDATA[PROTOTYPE ALAT PEMANTAUAN DAN PENGENDALIAN SUHU RUANGAN SARANG WALET BERBASIS NODEMCU ]]>
<![CDATA[Husdi Husdi]]>;
<![CDATA[Sayoga Mohamad Galih]]>
<![CDATA[ Simtek : jurnal sistem informasi dan teknik komputer Vol. 8 No. 1 (2023): April 2023 ]]>
Publisher : <![CDATA[STMIK Catur Sakti Kendari ]]>
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DOI: 10.51876/simtek.v8i1.257
<![CDATA[Swallow is a type of bird widely cultivated to produce nests. In general, swallows like places with certain temperatures as nesting habitats. Stable temperature and humidity conditions can help produce high-quality swallow nests for a better and higher price. The perfect shape and color of the nest are affected by an ideal temperature of 26-29ºC and humidity of 80-90%. The unstable temperature and humidity will reduce the quality of the swallow's nest. The stability of temperature and humidity of the room greatly affects the quality of the swallow's nest. The prototype of monitoring and controlling the temperature of swallow nests is designed to make it easier for farmers to control it regularly. The results of this study are expected to make it easier for farmers not to waste too much time taking care of the swallow's house]]>
<![CDATA[Prediksi Jumlah Persediaan Telur Ayam Menggunakan Metode K-Neares Neighbor: - ]]>
<![CDATA[baguna, filda]]>;
<![CDATA[Husdi, Husdi]]>;
<![CDATA[Taliki, Sunarto]]>;
<![CDATA[Kamaruddin, Andi]]>
<![CDATA[ Jurnal Ilmiah Ilmu Komputer Banthayo Lo Komputer Vol 2 No 2 (2023): November 2023 ]]>
Publisher : <![CDATA[Teknik Informatika Fakultas Ilmu Komputer Universitas Ichsan Gorontalo ]]>
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DOI: 10.37195/balok.v2i2.119
<![CDATA[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]]>
<![CDATA[Mobile Administrasi Desa Di Kantor Desa Kuala Utara Berbasis Android ]]>
<![CDATA[Lepi, Andriyanto]]>;
<![CDATA[Abd. Rahmat Karim Haba]]>;
<![CDATA[Husdi]]>;
<![CDATA[Sudirman S. Panna]]>
<![CDATA[ Jurnal Ilmiah Ilmu Komputer Banthayo Lo Komputer Vol 3 No 1 (2024): Mei 2024 ]]>
Publisher : <![CDATA[Teknik Informatika Fakultas Ilmu Komputer Universitas Ichsan Gorontalo ]]>
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DOI: 10.37195/balok.v3i1.731
<![CDATA[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]]>
<![CDATA[Analisis Sentimen Objek Wisata Di Kabupaten Banggai Laut Menggunakan Metode Naive Bayes ]]>
<![CDATA[Fatmawati]]>;
<![CDATA[Husdi]]>;
<![CDATA[Kartika Chandra Pelangi]]>;
<![CDATA[Rofiq Harun]]>
<![CDATA[ Jurnal Ilmiah Ilmu Komputer Banthayo Lo Komputer Vol 3 No 1 (2024): Mei 2024 ]]>
Publisher : <![CDATA[Teknik Informatika Fakultas Ilmu Komputer Universitas Ichsan Gorontalo ]]>
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DOI: 10.37195/balok.v3i1.882
<![CDATA[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]]>
<![CDATA[PREDIKSI JUMLAH HASIL PRODUKSI GULA MERAH MENGGUNAKAN METODE REGRESI LINEAR SEDERHANA ]]>
<![CDATA[Husdi, Husdi]]>;
<![CDATA[Malago, Yusrianto]]>
<![CDATA[ SemanTIK : Teknik Informasi Vol 9, No 1 (2023): ]]>
Publisher : <![CDATA[Informatics Engineering Department of Halu Oleo University ]]>
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DOI: 10.55679/semantik.v9i1.28364
<![CDATA[Rumah Produksi Gula Merah yang terletak di desa Pinontoyonga Kec.Atinggola, Kab. Gorontalo Utara merupakan Rumah Industri yang memproduksi gula merah dari tahun 2010 setiap bulannya produksi gula merah mengalami peningkatan dan penurunan. Meningkatnya jumlah produksi disebabkan banyaknya pemesanan dan penjualan setiap bulannya, dan Menurunnya jumlah produksi dikarenakan kurangnya pemesanan dan penjualan gula merah sehingga produksi gula merah menjadi menumpuk dan rusak karena berada ditempat yang lembab akibatnya gula merah tersebut tidak dapat bertahan lama dan tidak dapat dijual kembali. Sehingga Tujuan dilakukan prediksi yaitu untuk mengetahui jumlah gula merah yang akan di produksi pada periode Berikutnya. Berdasarkan urain tersebut maka penulis melakukan penelitian dengan menggunakan metode Regresi Linier Sederhana untuk memprediksi jumlah hasil produksi gula merah. Kesimpulan yang didapatkan dari hasil penelitian yang telah dilakukan yaitu prediksi jumlah hasil produksi gula merah dapat dilakukan dengan menggunakan metode regresi linier sederhana dengan nilai MAPE 6,657% dan berdasarkan atas interpretasi MAPE maka persentase tersebut termasuk dalam ketegori Sangat Akurat. Kata kunci; Gula Merah, prediksi, metode Regresi Linear Sederhana]]>
<![CDATA[Penerapan Metode Regresi Linear Untuk Prediksi Jumlah Bahan Baku Produksi Selai Bilfagi ]]>
<![CDATA[Husdi, Husdi]]>;
<![CDATA[Dalai, Hastuti]]>
<![CDATA[ Jurnal Informatika Vol 10, No 2 (2023): October 2023 ]]>
Publisher : <![CDATA[Universitas Bina Sarana Informatika ]]>
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DOI: 10.31294/inf.v10i2.14129
<![CDATA[Penelitian ini bertujuan untuk mengetahui hasil penerapan metode regresi linear sederhana untuk memprediksi jumlah bahan baku nanas produksi Selai Bilfagi yang bertempat di Rumah Produksi Selai Bilfagi. Permasalahan yang sering dihadapi oleh pemilik usaha Selai Bilfagi adalah seringnya terjadi penumpukan maupun kekosongan jumlah persediaan nanas. Hal ini disebabkan oleh pembelian nanas diawal sebagai persediaan bahan baku sehingga sering terjadi penumpukan yang berlebih, sedangkan kekosongan terjadi karena faktor nanas itu sendiri yang mudah busuk. Peramalan diperlukan demi mempermudah pihak Rumah Produksi Selai Bilfagi dalam meramalkan seberapa besar jumlah bahan baku nanas yang dibutuhkan untuk produksi Selai Bilfagi pada bulan berikutnya, sehingga tidak mengalami kekosongan atau penumpukan bahan baku nanas pada bulan selanjutnya. Metode regresi linier sederhana merupakan metode peramalan yang menggunakan dua faktor, sehingga dapat menentukan hasil yang maksimal. Dengan metode regresi linear sederhana ini didapatkan Mean Absolute Percentage Error (MAPE) di uji coba dengan data 2021 yang didapatkan yaitu 18,897% dari hasil akurasi dapat disimpulkan bahwa sistem prediksi efektif untuk digunakan.This study aims to determine the results of applying a simple linear regression method to predict the raw material number of pineapple production at the Bilfagi Jam Production House. The problem often faced by Bilfagi Jam business owners is the pineapple supplies that often show cumulation or emptiness. It is due to the initial purchase of pineapples as a stock of raw materials that there is often an excess cumulation. The emptiness occurs due to the perishable condition of pineapple. A prediction is needed to make it easier for the Bilfagi Jam Production House. It predicts the number of raw materials (pineapple) required by Bilfagi Jam production for the following month. It leads to no emptiness or cumulation of pineapple raw materials in the following month. The simple linear regression method is a prediction method that uses two factors. It can determine the maximum result through a simple linear regression method. The mean absolute percentage error (MAPE) is tested with the 2021 data obtained. It has 18.897% of accurate results. It means that the prediction system is effective to use. ]]>
<![CDATA[Algoritma Linear Regresi Untuk Prediksi Ketimpangan Pendapatan Berdasarkan Gini Ratio Di Provinsi Gorontalo ]]>
<![CDATA[Husdi]]>;
<![CDATA[Kamaruddin, Andi]]>
<![CDATA[ KETIK : Jurnal Informatika Vol. 2 No. 03 (2025): Januari ]]>
Publisher : <![CDATA[Faatuatua Media Karya ]]>
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DOI: 10.70404/ketik.v2i03.130
<![CDATA[Ketimpangan pendapatan antar kelompok dapat diukur dengan menggunakan Indeks Gini (Gini Ratio). Indeks Gini dapat bernilai antara 0 hingga 1, dimana semakin kecil/ semakin angka indeks mendekati 0 berarti pendapatan antar kelompok semakin kecil (pemerataan sempurna), sedangkan semakin besar angka indeks/semakin angka indeks mendekati 1 berarti semakin tinggi disparitas pendapatan penduduk di wilayah tersebt. Dalam kurun waktu 5 tahun terakhir, angka indeks gini di Provinsi Gorontalo cenderung stabil pada angka 0,406–0,418. Indeks Gini sempat meningkat pada tahun 2022 namun kembali menurun di tahun 2023 pada angka 0,417. Permasalahan dalam penelitian ini adalah bagaimana cara mengetahui (Gini Ratio) di Provinsi Gorontalo untuk tahun Berikutnya. Penelitian ini menggunakan metode penelitian jenis experimen dengan Subjek penelitian ini adalah prediksi Ketimpangan Pendapatan Antar Kelompok Di Provinsi Gorontalo. Metode Regresi Linear Sederhaan dapat digunakan untuk memprediksi Ketimpangan Pendapatan Berdasarkan Gini Rasio Antar Kelompok Di Provinsi Gorontalo secara tepat dan akurat, hal ini berdasrkan dari hasil pengujian dan mendapatkan nilai MAPE 0,83 % dengan interpretase mape kategori Sangat tepat/ kemampuan peramalan Sangat baik]]>
