Garuda - Garba Rujukan Digital

Rancang Bangun Sistem Informasi Alumni Siswa Berbasis Web Menggunakan Framework Codeigniter Farkhan, Muhamad Farir; Arifia, Amaludin; Suryanto, Andik Adi; Wijayanti, Aris
Curtina Vol 4 No 2 (2023)
Publisher : Program Studi Teknik Informatika Universitas PGRI Ronggolawe

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55719/curtina.v4i2.1081

Pengolahan data alumni dengan merekap secara manual menghambat pengerjaan dan penyampaian data alumni kepada pimpinan yang sewaktu waktu meminta data alumni. Dan belum dapat dilakukan dengan cepat dan masih sering terjadi kesalahan, serta setiap alumni tidak terdata karena pendataan alumni yang sedang berjalan saat ini hanya mencatat data alumni yang datang kesekolah. Focus dalam penelitian ini adalah pembuatan aplikasi dengan menggunakan bahasa pemograman yang telah banyak digunakan yaitu PHP dan MySQL. Metode Pengumpulan Data dalam penelitian ini mengenai sistem informasi pendataan alumni pada MTs Negeri 3 Tuban berbasis web dan untuk metode pengembangan sistem menggunakan Waterfall. Penelitian ini menunjukkan hasil bahwa untuk menyajikan informasi Alumni MTs Negeri 3 Tuban yang meliputi penyajian data alumni. Serta informasi lainnya yang dirasa perlu untuk disajikan pada saat dibutuhkan seperti, memudahkan pencarian alumni lama atau baru. Pengembangan sistem informasi berbasis web ini, maka penanganan terhadap perubahan data baik itu penambahan, pengurangan atau pencarian data akan lebih mudah.

SISTEM PAKAR PENENTUAN KUALITAS AYAM PETELUR MENGGUNAKAN METODE DECISION TREE Rosyida, Arina; Arifia, Amaludin; Amaluddin, Fitroh
Curtina Vol 5 No 1 (2024)
Publisher : Program Studi Teknik Informatika Universitas PGRI Ronggolawe

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55719/curtina.v5i1.1192

Sistem Pakar Penentuan Kualitas Ayam Petelur Menggunakan Metode Decision Tree.Penelitian ini bertujuan untuk mengembangkan sistem pakar yang memanfaatkan algoritma Decision Tree dalam menilai dan memprediksi kualitas ayam petelur. Kualitas telur ayam petelur adalah faktor penting dalam industri peternakan, yang mempengaruhi pasar dan kepercayaan konsumen.Dalam pengembangan sistem ini, kami mengumpulkan data dari berbagai atribut yang relevan seperti umur ayam, bobot telur, warna kulit telur, serta kondisi fisik ayam. Metode Decision Tree digunakan untuk membangun model klasifikasi yang dapat mengklasifikasikan telur menjadi berbagai kategori kualitas.Sistem pakar ini dirancang untuk memberikan keputusan cepat dan akurat dalam menentukan kualitas telur ayam petelur. Hal ini diharapkan dapat membantu peternak dan produsen dalam meningkatkan efisiensi produksi, mengurangi pemborosan, dan memastikan bahwa hanya telur berkualitas tinggi yang mencapai konsumen.Hasil penelitian ini menunjukkan bahwa penerapan metode Decision Tree dalam sistem pakar penentuan kualitas ayam petelur memiliki potensi besar untuk meningkatkan pengelolaan produksi dalam industri peternakan. Sistem ini juga memberikan landasan untuk pengembangan aplikasi serupa dalam industri peternakan lainnya yang membutuhkan penilaian kualitas produk secara efisien.

Implementing the Internet of Things in a Web-Based Air Pollution Detection System using NodeMCU Afifuddiin, Mohammad; Wijayanti, Aris; Arifia, Amaludin
SAINTEKBU Vol. 17 No. 01 (2025): Vol. 17 (01) January 2025
Publisher : KH. A. Wahab Hasbullah University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32764/saintekbu.v17i01.5612

Air pollution is one of the factors that causes health problems. Air pollution can be caused by several factors, two of which are natural factors and human factors. Plumpang District is one of the areas in Tuban Regency where there are many mining and industrial activities, especially limestone processing. Of course, this will cause an increase in the production of pollutant gases that are harmful to the body, one of which is carbon monoxide (CO). The use of the Internet of Things (IoT), microcontrollers, and sensors is expected to create a real-time air pollution monitoring tool. In this study, the MQ-7 sensor was used to detect carbon monoxide gas, and NodeMCU was used as a means of processing data to send data to the database. And later the information from the sensor readings will be displayed on the website page. The results of this study have succeeded in creating a real-time air pollution monitoring system which can then be developed to monitor air pollution itself.

Food and Beverage Product Review Sentiment Analysis on E-Commerce with Word Embedding and LSTM Bowo, Herry; Suryanto, Andik Adi; Arifia, Amaludin
Journal La Multiapp Vol. 6 No. 5 (2025): Journal La Multiapp
Publisher : Newinera Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37899/journallamultiapp.v6i5.2468

Sentiment analysis is a widely used method to understand customer opinions about a product. This study aims to analyze the sentiment of food and beverage product reviews on the Tokopedia marketplace using the Long Short-Term Memory (LSTM) approach and word embedding. The data used consisted of customer reviews that were categorized into three sentiment classes, namely positive, neutral, and negative. The model was developed through a series of stages of preprocessing, embedding, training with LSTM, as well as performance evaluation using accuracy and F1-score metrics. The results show that the developed model is able to classify sentiment with a fairly high level of accuracy. Based on the results of the final test on 5,000 data, the model managed to classify 122 data as negative, 130 data as neutral, and 4,871 data as positive, although it still showed an imbalance in class classification. Further analysis through word cloud visualization showed that words like "delicious", "steady", and "good" dominated the positive sentiment, while words like "disappointed", "broken", and "slow" often appeared in negative sentiment. This study provides valuable insights for businesses in understanding customer opinions and improving the quality of products and services.

Penerapan Metode Fast Untuk Perancangan Sistem Informasi Rumah Kemasan (Dinas Koperasi Perindustrian Dan Perdagangan Kabupaten Tuban) Muqtadir, Asfan; Amaluddin, Fitroh; Arifia, Amaludin
Jurnal Informatika: Jurnal Pengembangan IT Vol 7, No 3 (2022)
Publisher : Politeknik Harapan Bersama

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30591/jpit.v7i3.3683

Kemasan menjadi suatu masalah titik lemah pelaku Industri Kecil dan Menengah (IKM), permasalahan yang ada dalam proses pembuatan kemasan yang dilakukan oleh IKM seperti mulai dari pengisian form, mendatangi Rumah Kemasan, sampai IKM menunggu konfirmasi penyelesaian kemasan oleh petugas. Tujuan penelitian ini untuk mengetahui kebutuhan atas sistem informasi yang dibutuhkan di Rumah Kemasan. Selain itu pada penelitian ini juga mengkaji keperluan sebuah sistem yang dapat membantu manajemen di Rumah Kemasan, sehingga membantu pelayanan Rumah Kemasan yang lebih baik dengan IKM. Dengan menggunakan metode FAST (framework for the application of system thinking) sebagai metode Analisa dan desain yang dimulai dengan tahap Scope Definition, Problem Analysis, Requirement Analysis, Design logis, Construction and Testing. Dengan menggunakan sampling Data Form pendaftaran dan Data IKM dari tahun 2018-2019, sehingga dapat dihasilkan perancangan sistem informasi untuk membantu IKM dan majamenen Sistem Informasi Rumah Kemasan di Dinas Koperasi Perindustrian dan Perdagangan

Pemanfaatan Sumber Listrik Tenaga Surya Sebagai Catu Daya Perangkap Dan Pengusir Hama Tanaman Padi Berbasis Mikrokontroller Sarofah, Maratus; Amaluddin, Fitroh; Arifia, Amaludin; Rochmah, Ainur
Prosiding Seminar Riset Mahasiswa Vol 1, No 1: Maret 2023
Publisher : Universitas Islam Sultan Agung

Show Abstract | Download Original | Original Source | Check in Google Scholar

Proses budidaya padi yang dilakukan oleh petani selama ini tidak terlepas dari serangan hama yang mengakibatkan gagal panen, berbagai upaya telah dilakukan untuk menanggulangi serangan hama salah satunya penggunaan pestisida yang dapat berdampak pada kesuburan tanah, serta menjaga padi dari serangan burung pada musim panen. Penelitian ini dilakukan guna untuk mengurangi serangan hama pada tanaman padi, serta untuk mengurangi penggunaan pestisida secara berlebihan yang akan berdampak pada kesuburan tanah. Dalam penelitian ini menghasilkan sebuah alat pengusir burung serta perangkap hama pada malam hari dengan bantuan cahaya lampu yang memanfaatkan sumber listrik tenaga surya sebagai suplay energi pada alat ini. Dari hasil pengujian menunjukkan bahwa sistem alat yang dihasilkan mampu memerangkap beberapa jenis serangga pengganggu pada malam hari dengan bantuan cahaya lampu, banyak sedikitnya jenis serangga yang terperangkap dapat dipengaruhi oleh kondisi cuaca dan tempat, yang mana lampu akan menyala otomatis dengan menggunakan sensor LDR, serta dapat mengusir burung pemakan padi dengan bantuan sensor PIR dan suara burung elang ketika ada burung yang mendekati area persawahan, alat ini hanya dapat menjangkau pergerakan hewan yang melintas didepanya terjauh 7 meter dan tidak dapat menjangkau hewan yang melintas dibelakang-Nya, ke depannya alat ini dapat dikembangkan lagi sesuai dengan kebutuhan pada industry pertanian.Keyword: LDR, PIR, Tenaga Surya

Implementing the Internet of Things in a Web-Based Air Pollution Detection System using NodeMCU Afifuddiin, Mohammad; Wijayanti, Aris; Arifia, Amaludin
SAINTEKBU Vol. 17 No. 01 (2025): Vol. 17 (01) January 2025
Publisher : KH. A. Wahab Hasbullah University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32764/saintekbu.v17i01.5612

Air pollution is one of the factors that causes health problems. Air pollution can be caused by several factors, two of which are natural factors and human factors. Plumpang District is one of the areas in Tuban Regency where there are many mining and industrial activities, especially limestone processing. Of course, this will cause an increase in the production of pollutant gases that are harmful to the body, one of which is carbon monoxide (CO). The use of the Internet of Things (IoT), microcontrollers, and sensors is expected to create a real-time air pollution monitoring tool. In this study, the MQ-7 sensor was used to detect carbon monoxide gas, and NodeMCU was used as a means of processing data to send data to the database. And later the information from the sensor readings will be displayed on the website page. The results of this study have succeeded in creating a real-time air pollution monitoring system which can then be developed to monitor air pollution itself.

Spatial-Temporal Drought Analysis in Jatirogo Subdistrict Using Normalized Difference Drought Index (2020-2025) Rochmah, Ainur; Arifia, Amaludin; Joesidawati, Marita Ika; Rahmawan, Fajar
SENTRI: Jurnal Riset Ilmiah Vol. 5 No. 1 (2026): SENTRI : Jurnal Riset Ilmiah, Januari 2026
Publisher : LPPM Institut Pendidikan Nusantara Global

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55681/sentri.v5i1.5516

Drought is a recurring hydrometeorological hazard in Indonesia, particularly affecting regions with high rainfall variability and rainfed agriculture dependence. This study analyzes spatial-temporal drought patterns in Jatirogo Subdistrict, Tuban Regency, East Java (2020-2025) using the Normalized Difference Drought Index (NDDI) from Sentinel-2 imagery. The methodology involved image preprocessing, NDVI and NDWI calculation, NDDI derivation, and GIS-based drought classification. Results show strong seasonal patterns with peak severity during August-October, where moderate to severe drought dominated 65-80% of the area annually. The most severe conditions occurred in 2023-2024, with NDDI values exceeding 1.0. Villages including Kebonharjo, Sugihan, Demit, Bader, and Sekaran were identified as highly vulnerable. NDDI-based mapping revealed significant correlations with sectoral impacts: severe drought periods (NDDI > 0.8) corresponded with 40-60% crop yield reductions in rainfed paddies, increased irrigation demand, critical groundwater depletion, and elevated food security vulnerabilities among smallholder farmers. This study demonstrates that Sentinel-2 NDDI integration with GIS effectively supports village-level drought monitoring and provides essential spatial information for targeted mitigation strategies, including water resource management, adaptive agricultural planning, and early warning systems.

Spatiotemporal Analysis of Agricultural Drought in Tambakboyo District, Tuban Regency (2020–2025) Using the Normalized Difference Drought Index R.S, Widya Devi Febianti; Arifia, Amaludin; Joesidawati, Marita Ika; Rahmawan, Fajar
SENTRI: Jurnal Riset Ilmiah Vol. 5 No. 1 (2026): SENTRI : Jurnal Riset Ilmiah, Januari 2026
Publisher : LPPM Institut Pendidikan Nusantara Global

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55681/sentri.v5i1.5517

Drought is a recurring hydrometeorological disaster that poses a serious threat to agricultural productivity and food security, particularly in rain-fed agricultural regions of Indonesia’s northern coastal areas. Tambakboyo District, Tuban Regency, is characterized by high dependence on seasonal rainfall, limited irrigation infrastructure, and fluctuating climatic conditions, making it highly vulnerable to agricultural drought. This study aims to analyze the spatiotemporal patterns of agricultural drought in Tambakboyo District during the period 2020–2025 using the Normalized Difference Drought Index (NDDI) derived from Sentinel-2 satellite imagery. Sentinel-2 Level-2A surface reflectance data from September to December for each study year were processed to calculate the Normalized Difference Vegetation Index (NDVI) and Normalized Difference Water Index (NDWI), which were subsequently combined to generate NDDI values. Drought severity was classified into five categories ranging from normal to very severe drought. The results indicate a consistent seasonal drought pattern, with drought intensity beginning to increase in September, peaking in October–November, and declining in December with the onset of the rainy season. The most severe drought conditions occurred in 2022, when 68.5% of the district area experienced severe to very severe drought. Spatial analysis revealed that Kenanti, Gadon, and Plajan villages were persistently identified as drought-prone areas throughout the study period. These findings demonstrate the effectiveness of NDDI for monitoring agricultural drought in rain-fed farming systems and highlight its potential application for drought mitigation planning, early warning systems, and sustainable water resource management at the local scale.

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