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All Journal Semesta Teknika Format : Jurnal Imiah Teknik Informatika Sinkron : Jurnal dan Penelitian Teknik Informatika Jurnal Ilmiah Universitas Batanghari Jambi JISICOM (Journal of Information System, Infomatics and Computing) Jurnal Pendidikan Teknologi Informasi dan Vokasional Djtechno: Jurnal Teknologi Informasi Jurnal Abdimas Komunikasi dan Bahasa J-Intech (Journal of Information and Technology) Jurnal Ilmu Komputer SENTRI: Jurnal Riset Ilmiah JPPE : Jurnal Perencanaan & Pengembangan Ekonomi Journal of Artificial Intelligence and Digital Business COREAI: Jurnal Kecerdasan Buatan, Komputasi dan Teknologi Informasi Jurnal Komputer Antartika Kohesi: Jurnal Sains dan Teknologi
Fahlapi, Riza
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ANALISIS FLUKTUASI HARGA CABAI MERAH KERITING PERIODE JANUARI – DESEMBER 2024 DI PASAR KRAMAT JATI Fadillah, Muhammad Rizki; Fahlapi, Riza; Solehah, Amalia; Ningrum, Nurlita Widya; Apriliani, Sintania; Marwati, Nining
JPPE : Jurnal Perencanaan & Pengembangan Ekonomi Vol 8, No 2 (2025): DESEMBER 2025
Publisher : Universitas Muhammadiyah Gorontalo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31314/jppe.v8i2.5117

Abstract

This study aims to analyze the price fluctuations of curly red chili during the period of January to December 2024 at the Kramat Jati Main Market, East Jakarta. Curly red chili is an important horticultural commodity with high economic value and a direct impact on national food price stability. The research employs a quantitative descriptive method with a statistical analysis approach based on monthly price data. The data used in this study are secondary data obtained from official commodity price reports and supporting scientific references.The results indicate that the price of curly red chili experienced significant seasonal fluctuations. Prices tended to be higher at the beginning and end of the year, while mid-year prices decreased due to increased harvest supply. The mean price of Rp56,566/kg, median of Rp53,710/kg, and mode of Rp55,130/kg suggest that the market remained relatively stable within a medium price range. The quartile, decile, and percentile analyses show considerable price variation with a slightly right-skewed distribution, indicating several periods of high price spikes.The main factors causing price fluctuations include seasonal and weather changes, supply availability, distribution and transportation costs, consumer demand levels, and government policies on food price control. Overall, the findings confirm that curly red chili price fluctuations are seasonal in nature and influenced by complex interactions between supply and demand factors. Price stabilization strategies through production planning, increased storage capacity, and distribution efficiency are necessary to maintain market balance.
Implementasi Machine Learning Tanpa Label (Unsupervised) dalam Identifikasi dan Klasifikasi Penyakit Berdasarkan Data Medis Pasien Jody, Pradithia; Sucahyo, Muhamad Yusuf; Setiawan, Rizqi; Prasetyo, Dwi Bagus; Amsury, Fachri; Fahlapi, Riza
Jurnal Ilmiah Universitas Batanghari Jambi Vol 26, No 1 (2026): Februari
Publisher : Universitas Batanghari Jambi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33087/jiubj.v26i1.6402

Abstract

This study aims to implement an unsupervised learning method using the K-Means Clustering algorithm to group patients based on medical data without requiring prior disease labels. The dataset used consists of 300 simulated patient data (synthetic data) with variables of blood pressure, blood sugar, cholesterol, and symptoms of fever, cough, shortness of breath, and muscle pain. The results show that the model can divide patients into four main clusters: hypertension, diabetes, hypercholesterolemia, and respiratory infections, which are consistent with realistic clinical conditions. Analysis of the average feature per cluster, scatter plots, and heatmaps strengthen the interpretation of the characteristics of each group. This approach proves that the K-Means method can be an efficient early diagnostic tool even though the data is unlabeled.
ANALISIS SENTIMEN ULASAN APLIKASI X PADA GOOGLE PLAY STORE MENGGUNAKAN KOMPARASI SVM, KNN, DAN NAIVE BAYES Manampiring, Jim Maxwell; Halawa, Jenianus; Zai, Jefiri; Kurniawati, Ika; Fahlapi, Riza; Bismi, Waeisul
Djtechno: Jurnal Teknologi Informasi Vol 7, No 1 (2026): April
Publisher : Universitas Dharmawangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46576/djtechno.v7i1.8095

Abstract

Transformasi rebranding media sosial Twitter menjadi X menimbulkan respons yang beragam dari pengguna global, termasuk di Indonesia. Ulasan pengguna pada platform Google Play Store memuat informasi berharga mengenai kepuasan dan keluhan pengguna, namun volume data yang besar dan tidak terstruktur menyulitkan analisis secara manual. Studi ini difokuskan pada penerapan analisis sentimen guna mengklasifikasikan opini pengguna menjadi kategori positif dan negatif, serta membandingkan kinerja tiga algoritma Machine Learning, yaitu Support Vector Machine (SVM), K-Nearest Neighbor (KNN), dan Naive Bayes. Dataset yang digunakan berjumlah 10.000 data berbahasa Indonesia yang dikumpulkan melalui scraping. Melalui tahapan preprocessing yang meliputi cleaning, tokenizing, dan stemming, data dilatih dengan pembagian rasio 80:20. Hasil pengujian menunjukkan algoritma SVM menggunakan kernel linear menghasilkan kinerja terbaik dengan akurasi sebesar 84,8%, diikuti oleh Naive Bayes sebesar 83,1%, dan KNN sebesar 79,7%. Kesimpulan dari studi ini menegaskan bahwa SVM merupakan metode yang paling efisien guna menangani klasifikasi teks pada data ulasan aplikasi X yang memiliki dimensi tinggi, meskipun terdapat ketidakseimbangan kelas pada dataset.
Co-Authors Abdurrazaq Abdurrazaq, Abdurrazaq Abulkhoir, Moh. Azam Adiansyah, Riski Abimur Adiputra, Mahesa Aditya, Tommy Alfiansyah, Afif Alghifari, Luthfi Adam Alie, Jemmy Yosua Antonius Yadi Kuntoro Apriliani, Sintania Ardhiyansyah, Pramudhitya Argomasetyo, Firqi Arifin, Aymar Titan Ashari, Yayan Bela, Sintia Budiarto, Gunawan Christian, Yoel Fachri Amsury Faqih, Muhammad Bayu Fatihah, Cinta Aprilia Febrian, Dio Febrianto, Ade Ilham Febriyanti, Syafvika Tiara Garamba, Yafianus Gibran, Afrizal Achmad Gunawan, Heru Hafid, Danang Abu Halawa, Jenianus Halwatussyukliha, Anissa Hanifah, Nida Harianja, Putri Alletheia Hermanto Hermanto Ihsandi, Haura Bella Ika Kurniawati Jody, Pradithia Kurniawan, Bebi Kurniawan, Ery Lasman Effendi Mahmud Syarif Manampiring, Jim Maxwell marcellia, stevina Marwati, Nining Muhammad Syukur Nanjaya, Ahmad Fadhil Ningrum, Nurlita Widya Nitra, Ridatu Oca Novianti, Deny Oktavia, Devya Septi Panggabean, Gempar Galang Al Fallah Prasetyo, Dwi Bagus Qurrotuaini, Najwa Desmita Rachimsah, Wildan Rahmalia, Zahra Rahmandhani, Rifqi Rahmawati, Vani Ramadhan, Xena Hadi Rianto, Yan Riwanto, Muhammad Hilmy Rizkiansyah, Dimas Rosandi, Rivana Saputra, Aden Asywak Saputra, Dedi Dwi Sembiring, Sri Dewi Setiawan, Rizqi Siswahyudianto siti nurlela Solehah, Amalia Sucahyo, Muhamad Yusuf Sukmawati, Alfiani Sutisna, Alifan Widad Taufik Asra Waeisul Bismi Waek, Gregorius zahwani, nadya Zai, Jefiri